From 136fe58514b51962a04fbc6fdac9f4245f2aacd1 Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 17 Aug 2023 14:37:28 -0600 Subject: [PATCH 001/118] initial creation of MSX reaction object The class will be similar to the WaterNetworkModel in terms of its structure and options. --- wntr/reaction/__init__.py | 13 + wntr/reaction/model.py | 1202 ++++++++++++++++++++++++++++++++++ wntr/tests/test_reactions.py | 135 ++++ 3 files changed, 1350 insertions(+) create mode 100644 wntr/reaction/__init__.py create mode 100644 wntr/reaction/model.py create mode 100644 wntr/tests/test_reactions.py diff --git a/wntr/reaction/__init__.py b/wntr/reaction/__init__.py new file mode 100644 index 000000000..3270c825f --- /dev/null +++ b/wntr/reaction/__init__.py @@ -0,0 +1,13 @@ +# -*- coding: utf-8 -*- +"""Contains definitions for water quality chemistry objects and reactions""" + +# Dependencies: +# pyomo.dae +# sympy + +from . import model +from . import io +from . import library +# from . import msx_toolkit +# from . import MSXPY_toolkit +# from . import msx_tools \ No newline at end of file diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py new file mode 100644 index 000000000..912ee584e --- /dev/null +++ b/wntr/reaction/model.py @@ -0,0 +1,1202 @@ +# -*- coding: utf-8 -*- +""" +Water quality reactions base classes + +""" + +import logging +import warnings +from collections.abc import MutableMapping +from dataclasses import dataclass, field +from enum import Enum, IntFlag +from typing import Any, ClassVar, Dict, Hashable, Iterator, List, Set, Tuple, Union + +import sympy +from sympy import Float, Symbol, symbols +from sympy.parsing import parse_expr +from sympy.parsing.sympy_parser import standard_transformations, convert_xor + + +class VarType(IntFlag): + """The type of reaction variable""" + + Bulk = 1 + """A species that reacts with other bulk chemicals""" + Wall = 2 + """A species that reacts with the pipe walls""" + Constant = 4 + """A constant coefficient for use in a reaction expression""" + Parameter = 8 + """A coefficient that has a value dependent on the pipe or tank""" + Term = 16 + """A term that is aliased for ease of writing expressions""" + # Hydraulic = 32 + # """A hydraulic variable - users should not use this""" + + Species = Bulk | Wall + """A reaction species""" + Coeff = Constant | Parameter + """A reaction coefficient""" + + B = Bulk + W = Wall + C = Constant + P = Parameter + T = Term + # H = Hydraulic + # Hyd = Hydraulic + Const = Constant + Param = Parameter + + +class RxnLocation(Enum): + """What type of network component does this reaction occur in""" + + Pipes = 1 + """The expression describes a reaction in pipes""" + Tanks = 2 + """The expression describes a reaction in tanks""" + P = Pipes + T = Tanks + + +class ExprType(Enum): + """The type of reaction expression""" + + Equil = 1 + """An equilibrium reaction, where expression is RHS of: 0 = f(…,Cᵢ,…), {i | i=1..n}""" + Rate = 2 + """A decay rate equation, where expression is RHS of: ∂Cᵢ/∂t = f(…,Cᵢ,…), {i | i=1..n}""" + Formula = 3 + """A formula reaction, where expression is RHS of: Cᵢ = f(…,Cⱼ,…), {j | j=1..n, j≠i}""" + E = Equil + R = Rate + F = Formula + + +class WaterQualityReactionsModel: + """A registry of the reaction variables.""" + + RESERVED_NAMES = ("D", "Q", "U", "Re", "Us", "Ff", "Av", "E", "I", "pi") + """These (case sensitive) names are reserved for hydraulic variables and sympy + physical constants. Note that physical constants E, I, and pi are *not* valid MSX + variables - they are reserved symbols in sympy and so they should not be used + for variable names.""" + + def __init__(self): + self._variables: Dict[str, RxnVariable] = dict() + self._usage: Dict[str, Set[str]] = dict() + self._pipe_reactions: Dict[Hashable, RxnExpression] = dict() + self._tank_reactions: Dict[Hashable, RxnExpression] = dict() + for v in self.RESERVED_NAMES: + self._usage[v] = set() + + @property + def hydraulic_vars(self) -> Dict[str, str]: + """The following are the hydraulic variables usable within expressions and terms. + + D : pipe diameter (feet or meters) + Q : pipe flow rate (flow units) + U : pipe flow velocity (ft/s or m/s) + Re : flow Reynolds number + Us : pipe shear velocity (ft/s or m/s) + Ff : Darcy-Weisbach friction factor + Av : Surface area per unit volume (area-units/L) + """ + return { + "D": "pipe diameter (feet or meters)", + "Q": "pipe flow rate (flow units)", + "U": "pipe flow velocity (ft/s or m/s)", + "Re": "flow Reynolds number", + "Us": "pipe shear velocity (ft/s or m/s)", + "Ff": "Darcy-Weisbach friction factor", + "Av": "Surface area per unit volume (area-units/L)", + } + + def variables(self): + """Generator to iterate over all user defined variables (species, terms, etc). + + Yields + ------ + str, RxnVariable + name and object + + Raises + ------ + StopIteration + """ + for k, v in self._variables.items(): + yield k, v + raise StopIteration + + def species(self): + """Generator to iterate over all species. + + Yields + ------ + str, RxnSpecies + name and object + + Raises + ------ + StopIteration + """ + for k, v in self._variables.items(): + if isinstance(v, RxnSpecies): + yield k, v + raise StopIteration + + def coefficients(self): + """Generator to iterate over all coefficients. + + Yields + ------ + str, RxnCoefficient + name and object + + Raises + ------ + StopIteration + """ + for k, v in self._variables.items(): + if isinstance(v, RxnCoefficient): + yield k, v + raise StopIteration + + def terms(self): + """Generator to iterate over all terms. + + Yields + ------ + str, RxnTerm + name and object + + Raises + ------ + StopIteration + """ + for k, v in self._variables.items(): + if isinstance(v, RxnTerm): + yield k, v + raise StopIteration + + def reactions(self): + """Generator to iterate over all expressions. + + Yields + ------ + RxnExpression + reaction expression object + + Raises + ------ + StopIteration + """ + for v in self._pipe_reactions.values(): + yield v + for v in self._tank_reactions.values(): + yield v + raise StopIteration + + def pipe_reactions(self): + """Generator to iterate over all expressions. + + Yields + ------ + RxnExpression + reaction expression object + + Raises + ------ + StopIteration + """ + for v in self._pipe_reactions.values(): + yield v + raise StopIteration + + def tank_reactions(self): + """Generator to iterate over all expressions. + + Yields + ------ + RxnExpression + reaction expression object + + Raises + ------ + StopIteration + """ + for v in self._tank_reactions.values(): + yield v + raise StopIteration + + @property + def all_symbols(self) -> Set[sympy.Symbol]: + """Set of all symbols defined, including hydraulic variables""" + return set(symbols(" ".join(self._usage.keys()))) + + @property + def variable_names(self) -> Set[str]: + """Set of all user-defined symbols (excludes hydraulic variables)""" + return self._variables.keys() + + def add_variable(self, typ: Union[str, VarType], name: str, *args, note: str = None, **kwargs) -> "RxnVariable": + """Add a new variable to the Reactions object. + + Parameters + ---------- + typ : str or VarType + the type of variable + name : str + the name (symbol) for the variable + note : str, optional + a note or comment describing the variable, by default None + + Returns + ------- + RxnVariable + the new variable + + Raises + ------ + ValueError + - if name already exists, or + - missing or invalid value for :param:`typ` + """ + if name in self._variables.keys(): + raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) + if not typ: + raise ValueError("Missing/invalid value for typ, got {}".format(typ)) + if isinstance(typ, str) and len(typ) > 0: + typ = typ[0].upper() + try: + typ = VarType[typ] + except KeyError as k: + raise ValueError("Missing/invalid value for typ, expected VarType but got {}".format(repr(typ))) from k + if typ & VarType.Species: + return self.add_species(typ, name, *args, note=note, **kwargs) + elif typ & VarType.Coeff: + return self.add_coefficient(typ, name, *args, note=note, **kwargs) + elif typ & VarType.Term: + return self.add_term(name, *args, note=note, **kwargs) + raise ValueError("Missing/invalid value for typ, got {}".format(typ)) + + def add_species(self, typ: Union[str, VarType], name: str, unit: str, Atol: float = None, Rtol: float = None, note: str = None) -> "RxnSpecies": + """Add a species to the Reactions object + + Parameters + ---------- + typ : Union[str, VarType] + _description_ + name : str + _description_ + unit : str + _description_ + Atol : float, optional + _description_, by default None + Rtol : float, optional + _description_, by default None + note : str, optional + _description_, by default None + + Returns + ------- + RxnSpecies + _description_ + + Raises + ------ + ValueError + - a variable with the :param:`name` already exists + - an incorrect value for :param:`typ` + """ + if name in self._variables.keys(): + raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) + if isinstance(typ, str) and len(typ) > 0: + typ = typ[0].upper() + try: + typ = VarType[typ] + except KeyError as k: + raise ValueError("Missing/invalid value for typ, expected VarType but got {}".format(repr(typ))) from k + if typ & VarType.Bulk: + return self.add_bulk_species(name, unit, Atol, Rtol, note) + elif typ & VarType.Wall: + return self.add_wall_species(name, unit, Atol, Rtol, note) + else: + raise ValueError("typ must be a valid species type but got {}".format(typ)) + + def add_bulk_species(self, name: str, unit: str, Atol: float = None, Rtol: float = None, note: str = None) -> "BulkSpecies": + """_summary_ + + Parameters + ---------- + name : str + _description_ + unit : str + _description_ + Atol : float, optional + _description_, by default None + Rtol : float, optional + _description_, by default None + note : str, optional + _description_, by default None + + Returns + ------- + BulkSpecies + _description_ + + Raises + ------ + ValueError + a variable with the :param:`name` already exists + """ + if name in self._variables.keys(): + raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) + new = BulkSpecies(name=name, unit=unit, Atol=Atol, Rtol=Rtol, note=note) + self._variables[name] = new + self._usage[name] = set() + return new + + def add_wall_species(self, name: str, unit: str, Atol: float = None, Rtol: float = None, note: str = None) -> "WallSpecies": + """_summary_ + + Parameters + ---------- + name : str + _description_ + unit : str + _description_ + Atol : float, optional + _description_, by default None + Rtol : float, optional + _description_, by default None + note : str, optional + _description_, by default None + + Returns + ------- + WallSpecies + _description_ + + Raises + ------ + ValueError + a variable with the :param:`name` already exists + """ + if name in self._variables.keys(): + raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) + new = WallSpecies(name=name, unit=unit, Atol=Atol, Rtol=Rtol, note=note) + self._variables[name] = new + self._usage[name] = set() + return new + + def add_coefficient( + self, typ: Union[str, VarType], name: str, value: float, note: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None + ) -> "RxnCoefficient": + """_summary_ + + Parameters + ---------- + typ : Union[str, VarType] + _description_ + name : str + _description_ + value : float + _description_ + note : str, optional + _description_, by default None + pipe_values : Dict[str, float], optional + _description_, by default None + tank_values : Dict[str, float], optional + _description_, by default None + + Returns + ------- + RxnCoefficient + _description_ + + Raises + ------ + ValueError + - a variable with the :param:`name` already exists + - an incorrect value for :param:`typ` + TypeError + value(s) were passed for :param:`pipe_values` or :param:`tank_values` but the :param:`typ` is ``Constant`` + """ + if name in self._variables.keys(): + raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) + if isinstance(typ, str) and len(typ) > 0: + typ = typ[0].upper() + try: + typ = VarType[typ] + except KeyError as k: + raise ValueError("Missing/invalid value for typ, expected VarType but got {}".format(repr(typ))) from k + if typ & VarType.Const: + if pipe_values is not None or tank_values is not None: + raise ValueError( + "pipe_values and tank_values must be None for constants but values for {}".format( + ("pipe_values" if pipe_values is not None else "") + + (" and " if pipe_values is not None and tank_values is not None else "") + + ("tank_values" if tank_values is not None else "") + ) + ) + return self.add_constant(name, value, note) + elif typ & VarType.Param: + return self.add_parameter(name, value, note, pipe_values, tank_values) + else: + raise ValueError("typ must be a valid coefficient type but got {}".format(typ)) + + def add_constant(self, name: str, value: float, note: str = None) -> "Constant": + """_summary_ + + Parameters + ---------- + name : str + _description_ + value : float + _description_ + note : str, optional + _description_, by default None + + Returns + ------- + Constant + _description_ + + Raises + ------ + ValueError + a variable with the :param:`name` already exists + """ + if name in self._variables.keys(): + raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) + new = Constant(name=name, global_value=value, note=note) + self._variables[name] = new + self._usage[name] = set() + return new + + def add_parameter(self, name: str, value: float, note: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None) -> "Parameter": + """_summary_ + + Parameters + ---------- + name : str + _description_ + value : float + _description_ + note : str, optional + _description_, by default None + pipe_values : Dict[str, float], optional + _description_, by default None + tank_values : Dict[str, float], optional + _description_, by default None + + Returns + ------- + Parameter + _description_ + + Raises + ------ + ValueError + a variable with the :param:`name` already exists + """ + if name in self._variables.keys(): + raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) + new = Parameter(name=name, global_value=value, note=note, pipe_values=pipe_values, tank_values=tank_values) + self._variables[name] = new + self._usage[name] = set() + return new + + def add_term(self, name: str, expr: str, note: str = None) -> "RxnTerm": + """_summary_ + + Parameters + ---------- + name : str + _description_ + expr : str + _description_ + note : str, optional + _description_, by default None + + Returns + ------- + RxnTerm + _description_ + + Raises + ------ + ValueError + a variable with the :param:`name` already exists + NameError + the term uses variable names that are undefined + """ + if name in self._variables.keys(): + raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) + expr1 = sympy.parse_expr(expr) + used = expr1.free_symbols + undefined = used - self.all_symbols + if len(undefined) > 0: + raise NameError("Undefined symbol(s) {} in term {}".format(undefined, name)) + new = RxnTerm(name=name, expression=expr, note=note) + self._variables[name] = new + self._usage[name] = set() + for v in used: + self._usage[v].add(name) + return new + + def add_reaction(self, loc: Union[str, RxnLocation], typ: Union[str, ExprType], species: Union[str, 'RxnSpecies'], expression: str, note: str = None) -> "RxnExpression": + """Add a new reaction + + Parameters + ---------- + loc : str or RxnLocation + the location for the reaction: Pipe or Tank + typ : str or ExprType + the type of expression: Rate, Equilibrium or Formula + species : str or RxnSpecies + the species that is being described + expression : str + the actual mathematical expression + note : str, optional + any notes or comments, by default None + + Returns + ------- + RxnExpression + the new expression object + + Raises + ------ + ValueError + an incorrect/invalid value for :param:`loc` + """ + if not loc: + raise ValueError("A valid ExprLocationType must be specified for loc, but got {}".format(repr(loc))) + if isinstance(loc, str) and len(loc) > 0: + loc = loc[0].upper() + try: + loc = RxnLocation[loc] + except KeyError as k: + raise ValueError("Missing/unknown value for loc, expected ExprLocationType but got {}".format(loc)) from k + if loc is RxnLocation.Pipes: + return self.add_pipe_reaction(typ=typ, species=species, expression=expression, note=note) + elif loc is RxnLocation.Tanks: + return self.add_tank_reaction(typ=typ, species=species, expression=expression, note=note) + else: + raise ValueError("Missing/unknown value for loc, expected ExprLocationType but got {}".format(loc)) + + def add_pipe_reaction(self, typ: Union[str, ExprType], species: Union[str, 'RxnSpecies'], expression: str, note: str = None) -> "RxnExpression": + """Add a new pipe reaction to the model. + + Parameters + ---------- + typ : str or ExprType + the type of expression: Rate, Equilibrium or Formula + species : str + the species that is being described + expression : str + the actual mathematical expression + note : str, optional + any notes or comments, by default None + + Returns + ------- + RxnExpression + the new expression object + + Raises + ------ + ValueError + an incorrect/invalid value for :param:`typ` + """ + if species is not None: + species = str(species) + if not typ: + raise ValueError("A valid ExprType must be specified for typ, got {}".format(repr(typ))) + if isinstance(typ, str) and len(typ) > 0: + typ = typ[0].upper() + try: + typ = ExprType[typ] + except KeyError as k: + raise ValueError("Missing/unknown value for typ, expected ExprType but got {}".format(typ)) from k + if typ is ExprType.Equil: + new = Equilibrium(species=species, loc=RxnLocation.Pipes, expression=expression, note=note, _variables=self) + elif typ is ExprType.Rate: + new = Rate(species=species, loc=RxnLocation.Pipes, expression=expression, note=note, _variables=self) + elif typ is ExprType.Formula: + new = Formula(species=species, loc=RxnLocation.Pipes, expression=expression, note=note, _variables=self) + else: + raise ValueError("Unknown value for ExprType, got typ={}".format(typ)) + self._pipe_reactions[(typ.name, species)] = new + return new + + def add_tank_reaction(self, typ: Union[str, ExprType], species: Union[str, 'RxnSpecies'], expression: str, note: str = None) -> "RxnExpression": + """Add a new tank reaction to the model. + + Parameters + ---------- + typ : str or ExprType + the type of expression: Rate, Equilibrium or Formula + species : str + the species that is being described + expression : str + the actual mathematical expression + note : str, optional + any notes or comments, by default None + + Returns + ------- + RxnExpression + the new expression object + + Raises + ------ + ValueError + an incorrect/invalid value for :param:`typ` + """ + if species is not None: + species = str(species) + if not typ: + raise ValueError("A valid ExprType must be specified for typ, got {}".format(repr(typ))) + if isinstance(typ, str) and len(typ) > 0: + typ = typ[0].upper() + try: + typ = ExprType[typ] + except KeyError as k: + raise ValueError("Missing/unknown value for typ, expected ExprType but got {}".format(typ)) from k + if typ is ExprType.Equil: + new = Equilibrium(species=species, loc=RxnLocation.Tanks, expression=expression, note=note, _variables=self) + elif typ is ExprType.Rate: + new = Rate(species=species, loc=RxnLocation.Tanks, expression=expression, note=note, _variables=self) + elif typ is ExprType.Formula: + new = Formula(species=species, loc=RxnLocation.Tanks, expression=expression, note=note, _variables=self) + else: + raise ValueError("Unknown value for ExprType, got typ={}".format(typ)) + self._tank_reactions[(typ.name, species)] = new + return new + + def get_variable(self, name) -> "RxnVariable": + """Get a variable by name. + + Parameters + ---------- + name : str + the name of a defined variable + + Returns + ------- + RxnVariable + the variable requested + + Raises + ------ + KeyError + if a variable with that name does not exist + TypeError + if the variable is one of the :attr:`RESERVED_NAMES` that is not + an object + """ + if name in self.RESERVED_NAMES: + raise TypeError("You cannot request one of the hydraulic variables or reserved sympy names") + try: + return self._variables[name] + except KeyError as e: + raise KeyError("There is no such variable: {}. Remember that variables are case sensitive".format(name)) from e + + def get_reaction(self, loc, typ, species) -> "RxnExpression": + """_summary_ + + Parameters + ---------- + loc : str or RxnLocation + the location (pipe or tank) the reaction occurs + typ : str or ExprType + the type of reaction to get + species : str or RxnSpecies + the species to get the reaction for + + Returns + ------- + RxnExpression + the reaction expression object + + Raises + ------ + TypeError + :param:`loc`, :param:`typ` or :param:`species` is ``None`` + ValueError + - :param:`loc` or :param:`typ` is incorrect/invalid + - :param:`species` is undefined + KeyError + - the requested reaction expression is undefined + """ + if species is not None: + species = str(species) + if not species or species not in self._variables.keys(): + raise TypeError("A valid name must be specified for species, but got {}".format(species)) + if not loc: + raise TypeError("A valid RxnLocation must be specified for loc, but got {}".format(repr(loc))) + if not typ: + raise TypeError("A valid ExprType must be specified for typ, got {}".format(repr(typ))) + if species not in self._variables.keys(): + raise ValueError('Unknown species, {}'.format(species)) + if isinstance(loc, str) and len(loc) > 0: + loc = loc[0].upper() + try: + loc = RxnLocation[loc] + except KeyError as k: + raise ValueError("Missing/unknown value for loc, expected RxnLocation but got {}".format(loc)) from k + if isinstance(typ, str) and len(typ) > 0: + typ = typ[0].upper() + try: + typ = ExprType[typ] + except KeyError as k: + raise ValueError("Missing/unknown value for typ, expected ExprType but got {}".format(typ)) from k + if loc is RxnLocation.Pipes: + return self._pipe_reactions[(typ.name, species)] + elif loc is RxnLocation.Tanks: + return self._tank_reactions[(typ.name, species)] + else: + raise ValueError("Invalid RxnLocation specified, got {}".format(loc)) + + def get_reactions(self, loc: Union[str, RxnLocation] = None, typ: Union[str, ExprType] = None, species: Union[str, "RxnSpecies"] = None) -> List["RxnExpression"]: + """Get a subset of all reactions based on the criteria specified in the parameters (ANDed). + + Parameters + ---------- + loc : str or RxnLocation, optional + limit to pipe or tank reactions, by default None (both pipes and tanks) + typ : str or ExprType, optional + limit to rate, formula, or equilibrium reactions, by default None (all types) + species : str or RxnSpecies, optional + limit to a specific species, by default Non (all species) + + Returns + ------- + list of RxnExpression + reactions that match all the criteria specified + + Raises + ------ + ValueError + - invalid string passed in for :param:`loc` + - invalid string passed in for :param:`typ` + """ + if isinstance(loc, str) and len(loc) > 0: + loc = loc[0].upper() + try: + loc = RxnLocation[loc] + except KeyError as k: + raise ValueError("Missing/unknown value for loc, expected RxnLocation but got {}".format(loc)) from k + if isinstance(typ, str) and len(typ) > 0: + typ = typ[0].upper() + try: + typ = ExprType[typ] + except KeyError as k: + raise ValueError("Missing/unknown value for typ, expected ExprType but got {}".format(typ)) from k + if species is not None: + species = str(species) + reactions = list() + if loc is None or loc == RxnLocation.Pipes: + for k, v in self._pipe_reactions.items(): + if (k[0] == typ or typ is None) and (k[1] == species or species is None): + reactions.append(v) + if loc is None or loc == RxnLocation.Tanks: + for k, v in self._tank_reactions.items(): + if (k[0] == typ or typ is None) and (k[1] == species or species is None): + reactions.append(v) + return reactions + + +@dataclass +class RxnVariable: + """Any variable defined for use in a reaction expression""" + + name: str + """The name (symbol) of the variable""" + typ: ClassVar[VarType] + """The type of variable""" + value: ClassVar[Union[str, float]] + """The value of the variable, with type dependent on the type of variable""" + note = None + """A comment or note attached to the variable""" + + @property + def variable_type(self) -> VarType: + """The type of variable""" + return self.typ + + def get_symbol(self) -> sympy.Symbol: + """Get a sympy Symbol from the name""" + return symbols(self.name) + + def get_value(self, *, pipe=None, tank=None) -> Union[float, str]: + """Get the unit for a species, the value of a constant or parameter, or an expression for a term. + + Parameters + ---------- + pipe : str or Pipe, optional + a pipe or pipe name to use when getting the value, by default None + tank : str or Tank, optional + a tank or tank name to use when getting the value, by default None + + Returns + ------- + float or str + a float or string, depending on the type + + Raises + ------ + NotImplementedError + if a subclass does not implement this function + """ + raise NotImplementedError + + def __post_init__(self): + if self.name in WaterQualityReactionsModel.RESERVED_NAMES: + raise ValueError("the name {} is reserved for a built-in hydraulic variable".format(self.name)) + if not hasattr(self, 'typ'): + raise NotImplementedError('RxnVariable class cannot be instantiated directly') + if not isinstance(self.typ, VarType): + raise ValueError("expected VarType, got {}".format(type(self.typ))) + if self.typ is VarType.Species or self.typ is VarType.Coeff: + raise ValueError("generic {} type is inappropriate".format(self.typ)) + + def _get_tolerances(self) -> str: + return "" + + def to_msx_string(self) -> str: + """Convert to an EPANET-MSX input-file formatted line. + + Returns + ------- + str + the EPANET_MSX input-file formatted text + + Raises + ------ + TypeError + if the type is improper + """ + if self.typ & VarType.Species: + return "{} {} {} {} ;{}".format(self.typ.name.upper(), self.name, self.value, self._get_tolerances(), self.note if self.note else "") + elif self.typ & VarType.Coeff: + return "{} {} {} ;{}".format(self.typ.name.upper(), self.name, self.value, self.note if self.note else "") + elif self.typ & VarType.Term: + return "{} {} ;{}".format(self.name, self.value, self.note if self.note else "") + raise TypeError("typ must be a VarType but got {} - how did you do that???".format(type(self.typ))) + + def __str__(self): + return self.name + + +@dataclass +class RxnSpecies(RxnVariable): + """A water quality species, either biologic or chemical.""" + + unit: str + """The unit for this species' concentration""" + Atol: float = None + """The absolute tolerance to use when solving equations for this species""" + Rtol: float = None + """The relative tolerance to use when solving equations for this species""" + note: str = None + """A note regarding the species""" + + @property + def species_type(self) -> VarType: + """The type of species""" + raise NotImplementedError("subclass of RxnSpecies failed to implement species_type property") + + typ = species_type + + def __post_init__(self): + super().__post_init__() + if not (self.typ & VarType.Species): + raise ValueError("species must be Bulk or Wall type") + if (self.Atol is not None and self.Rtol is None) or (self.Atol is None and self.Rtol is not None): + raise ValueError("Atol and Rtol must both be None or both be > 0") + + @property + def _value(self): + return self.unit + + value = _value + + def get_value(self) -> str: + """Get the unit of the reaction species.""" + return self.value + + def _get_tolerances(self) -> str: + if self.Atol is not None: + return "{} {}".format(self.Atol, self.Rtol) + return "" + + def get_tolerances(self) -> Union[Tuple[float, float], None]: + """Get the tolerances for the species equations. + + Returns + ------- + (float, float) or None + the absolute and relative tolerance + """ + if self.Atol is not None: + return (self.Atol, self.Rtol,) + return None + + def set_tolerances(self, Atol: float, Rtol: float): + """Set the absolute and relative tolerances for the solver for this species. + + Parameters + ---------- + Atol : float + absolute tolerance for the solver + Rtol : float + relative tolerance for the solver + + Raises + ------ + ValueError + if either tolerance is less than or equal to zero + ValueError + if only one tolerance is set + """ + try: + if Atol is None and Rtol is None: + self.clear_tolerances() + elif Atol > 0 and Rtol > 0: + self.Atol = Atol + self.Rtol = Rtol + else: + raise ValueError("both Atol and Rtol must be greater than 0") + except TypeError as e: + raise TypeError("Atol and Rtol must both be None or both be positive real numbers") from e + + def clear_tolerances(self): + """Clear custom tolerances for the species""" + self.Atol = self.Rtol = None + + +class BulkSpecies(RxnSpecies): + """A bulk-reaction species""" + + @property + def species_type(self): + return VarType.Bulk + + typ = species_type + + +class WallSpecies(RxnSpecies): + """A wall-reaction species""" + + @property + def species_type(self): + return VarType.Wall + + typ = species_type + + +@dataclass +class RxnCoefficient(RxnVariable): + """A coefficient used in terms or reaction expressions""" + + global_value: float + """The global (default) value for this coefficient""" + note: str = None + """A note regarding this coefficient""" + pipe_values: Dict[str, float] = field(default_factory=dict, repr=False) + """Values for specific pipes""" + tank_values: Dict[str, float] = field(default_factory=dict, repr=False) + """Values for specific tanks""" + + @property + def coeff_type(self) -> VarType: + """The coefficient type, either constant or parameter. + + Returns + ------- + VarType + the type of coefficient + + Raises + ------ + NotImplementedError + if a subclass failed to overload this property + """ + raise NotImplementedError("subclass of RxnCoefficient failed to implement coeff_type property") + + typ = coeff_type + + @property + def _value(self): + return self.global_value + + value = _value + + def __post_init__(self): + super().__post_init__() + if not (self.typ & VarType.Coeff): + raise ValueError("coefficients must be Constant or Parameter type") + try: + self.global_value = float(self.global_value) + except ValueError as e: + raise ValueError("coefficients must have a real value but got {}".format(self.global_value)) from e + + def get_value(self, *, pipe=None, tank=None) -> str: + if pipe is not None and tank is not None: + raise ValueError("coefficients cannot have both pipe and tank specified") + if self.typ & VarType.Constant: + if pipe is not None or tank is not None: + warnings.warn('constants only have global values, returning the global value', RuntimeWarning) + return self.global_value + if pipe is not None: + return self.pipe_values.get(str(pipe), self.global_value) + else: + return self.tank_values.get(str(tank), self.global_value) + + +class Constant(RxnCoefficient): + """A constant coefficient""" + + def __post_init__(self): + if len(self.pipe_values) > 0 or len(self.tank_values) > 0: + warnings.warn('A Constant cannot have different values for specific pipes or tanks', category=RuntimeWarning) + self.pipe_values = None + self.tank_values = None + super().__post_init__() + + @property + def coeff_type(self): + return VarType.Constant + + typ = coeff_type + + +class Parameter(RxnCoefficient): + """A coefficient that has different values based on a pipe or tank""" + + @property + def coeff_type(self): + return VarType.Parameter + + typ = coeff_type + + +@dataclass +class RxnTerm(RxnVariable): + """An alias for a subexpression for easier use in a reaction expression""" + + expression: str + """A subexpression using species and coefficients""" + note: str = None + """A note or comment about this term""" + + @property + def variable_type(self): + return VarType.Term + + typ = variable_type + + @property + def _value(self): + return self.expression + + value = _value + + +@dataclass +class RxnExpression: + """A reaction expression""" + + species: str + """The species the expression applies to""" + loc: RxnLocation + """Does this reaction occur in pipes or tanks""" + typ: ClassVar[ExprType] + """The left-hand-side of the equation (the type of equation)""" + expression: str + """The right-hand-side of the equation (the expression itself)""" + note: str = None + """A note or comment regarding this expression""" + _variables: WaterQualityReactionsModel = None + """A link to the variable registry for evaluation""" + _transformations: ClassVar[Tuple] = standard_transformations + (convert_xor,) + """Expression transformations""" + + def link_variables(self, variables: WaterQualityReactionsModel): + if variables is not None: + self._variables = variables + self.validate() + + def validate(self): + """Validate the expression by checking variables are defined. + + Returns + ------- + sympy expression + _description_ + + Raises + ------ + ValueError + _description_ + RuntimeError + _description_ + """ + if self._variables is None: + raise ValueError("No variables have been linked to this RxnExpression") + expr = sympy.parse_expr(self.expression, transformations=self._transformations) + expr_vars = expr.free_symbols + missing = expr_vars - self._variables.all_symbols + if len(missing) > 0: + raise RuntimeError("Validation failed: the following symbols are undefined: {}".format(missing)) + return expr + + @property + def expression_type(self) -> ExprType: + """The type of expression""" + raise NotImplementedError("subclass of RxnExpression does not define the expression type") + + def to_msx_string(self) -> str: + """Get the expression as an EPANET-MSX input-file style string. + + Returns + ------- + str + the expression for use in an EPANET-MSX input file + """ + return "{} {} {} ;{}".format(self.typ.name.upper(), self.species, self.expression, self.note if self.note else "") + + +class Equilibrium(RxnExpression): + """An equilibrium expression, where the evaluated expression should equal 0.""" + + @property + def expression_type(self): + return ExprType.Equil + + typ = expression_type + + +class Rate(RxnExpression): + """A decay rate reaction, where the expression is the change in concentration per time for a specific species.""" + + @property + def expression_type(self): + return ExprType.Rate + + typ = expression_type + + +class Formula(RxnExpression): + """A formula for the concentration of a species based solely on the values of the other species.""" + + @property + def expression_type(self): + return ExprType.Formula + + typ = expression_type diff --git a/wntr/tests/test_reactions.py b/wntr/tests/test_reactions.py new file mode 100644 index 000000000..807599128 --- /dev/null +++ b/wntr/tests/test_reactions.py @@ -0,0 +1,135 @@ +import unittest +import warnings +from os.path import abspath, dirname, join + +import numpy as np +import pandas as pd +import wntr +import wntr.reaction +import sympy + +testdir = dirname(abspath(str(__file__))) +test_network_dir = join(testdir, "networks_for_testing") +test_data_dir = join(testdir, "data_for_testing") +ex_datadir = join(testdir, "..", "..", "examples", "networks") + +class Test(unittest.TestCase): + @classmethod + def setUpClass(self): + pass + + @classmethod + def tearDownClass(self): + pass + + def test_RxnVariable_reserved_name_exception(self): + self.assertRaises(ValueError, wntr.reaction.model.RxnVariable, 'I') + self.assertRaises(ValueError, wntr.reaction.model.RxnSpecies, 'Ff', 'mg') + self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, 'D', 'mg') + self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, 'Q', 'mg') + self.assertRaises(ValueError, wntr.reaction.model.RxnCoefficient, 'Re', 0.52) + + def test_RxnVariable_direct_instantiation_exceptions(self): + self.assertRaises(NotImplementedError, wntr.reaction.model.RxnVariable, 'Test') + self.assertRaises(NotImplementedError, wntr.reaction.model.RxnSpecies, 'Test', 'mg/L') + self.assertRaises(NotImplementedError, wntr.reaction.model.RxnCoefficient, 'Test', 0.524) + + def test_RxnVariable_symbols_and_sympy(self): + species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') + symbol1 = sympy.symbols('Cl') + self.assertEqual(species1.get_symbol(), symbol1) + + const1 = wntr.reaction.model.Constant('Kb', 0.482) + symbol2 = sympy.symbols('Kb') + self.assertEqual(const1.get_symbol(), symbol2) + + def test_RxnVariable_values(self): + species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') + self.assertEqual(species1.get_value(), species1.value) + self.assertRaises(TypeError, species1.get_value, pipe='blah') + const1 = wntr.reaction.model.Constant('Kb', 0.482, note='test') + self.assertEqual(const1.get_value(), const1.value) + + def test_RxnVariable_string_functions(self): + species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') + self.assertEqual(str(species1), 'Cl') + self.assertEqual(species1.to_msx_string(), 'BULK Cl mg ;') + species2 = wntr.reaction.model.WallSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') + self.assertEqual(species2.to_msx_string(), 'WALL Cl mg 0.01 0.0001 ;Testing stuff') + + def test_RxnSpecies_tolerances(self): + #"""RxnSpecies(*s) tolerance settings""" + species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') + species2 = wntr.reaction.model.WallSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') + self.assertIsNone(species1.get_tolerances()) + self.assertIsNotNone(species2.get_tolerances()) + self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) + self.assertRaises(TypeError, species1.set_tolerances, None, 0.0001) + self.assertRaises(ValueError, species1.set_tolerances, -0.51, 0.01) + self.assertRaises(ValueError, species1.set_tolerances, 0.0, 0.0) + species1.set_tolerances(0.01, 0.0001) + self.assertEqual(species1.Atol, 0.01) + self.assertEqual(species1.Rtol, 0.0001) + species1.set_tolerances(None, None) + self.assertIsNone(species1.Atol) + self.assertIsNone(species1.Rtol) + species2.clear_tolerances() + self.assertIsNone(species1.Atol) + self.assertIsNone(species1.Rtol) + self.assertIsNone(species2.get_tolerances()) + + def test_BulkSpecies_creation(self): + #"""BlukSpecies object creation (direct instantiation)""" + self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, 'I') + self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, 'I', 'mg') + self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, 'Cl', 'mg', 0.01) + self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, 'Cl', 'mg', None, 0.01) + species = wntr.reaction.model.BulkSpecies('Cl', 'mg') + self.assertEqual(species.name, 'Cl') + self.assertEqual(species.value, 'mg') + self.assertEqual(species.value, species.unit) + self.assertEqual(species.species_type, wntr.reaction.model.VarType.Bulk) + self.assertIsNone(species.Atol) + self.assertIsNone(species.Rtol) + self.assertIsNone(species.note) + species = wntr.reaction.model.BulkSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') + self.assertEqual(species.variable_type, wntr.reaction.model.VarType.Bulk) + self.assertEqual(species.name, 'Cl') + self.assertEqual(species.value, 'mg') + self.assertEqual(species.Atol, 0.01) + self.assertEqual(species.Rtol, 0.0001) + self.assertEqual(species.note, 'Testing stuff') + + def test_WallSpecies_creation(self): + #"""WallSpecies object creation (direct instantiation)""" + self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, 'I') + self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, 'I', 'mg') + self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, 'Cl', 'mg', 0.01) + self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, 'Cl', 'mg', None, 0.01) + species = wntr.reaction.model.WallSpecies('Cl', 'mg') + self.assertEqual(species.name, 'Cl') + self.assertEqual(species.value, 'mg') + self.assertEqual(species.value, species.unit) + self.assertEqual(species.species_type, wntr.reaction.model.VarType.Wall) + self.assertIsNone(species.Atol) + self.assertIsNone(species.Rtol) + self.assertIsNone(species.note) + species = wntr.reaction.model.WallSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') + self.assertEqual(species.variable_type, wntr.reaction.model.VarType.Wall) + self.assertEqual(species.name, 'Cl') + self.assertEqual(species.value, 'mg') + self.assertEqual(species.Atol, 0.01) + self.assertEqual(species.Rtol, 0.0001) + self.assertEqual(species.note, 'Testing stuff') + + def test_Constant_creation(self): + self.assertRaises(TypeError, wntr.reaction.model.Constant, 'Re') + self.assertRaises(ValueError, wntr.reaction.model.Constant, 'Re', 2.48) + const1 = wntr.reaction.model.Constant('Kb', 0.482, note='test') + # FIXME: Find a way to suppress warning printing + # self.assertWarns(RuntimeWarning, wntr.reaction.model.Constant, 'Kb1', 0.83, pipe_values={'a',1}) + self.assertEqual(const1.name, 'Kb') + self.assertEqual(const1.global_value, 0.482) + self.assertEqual(const1.value, const1.global_value) + self.assertEqual(const1.coeff_type, wntr.reaction.model.VarType.Constant) + self.assertEqual(const1.note, 'test') From 173e4b9ff88fd359e75d35b02fc6c3a43d49d89d Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 18 Aug 2023 08:40:14 -0600 Subject: [PATCH 002/118] update requirements so that reactions test with sympy --- requirements.txt | 1 + wntr/reaction/model.py | 77 +++++++++++----- wntr/tests/test_reactions.py | 167 ++++++++++++++++++++++++++++++++++- 3 files changed, 224 insertions(+), 21 deletions(-) diff --git a/requirements.txt b/requirements.txt index 77fd539c5..ee2a94f43 100644 --- a/requirements.txt +++ b/requirements.txt @@ -12,6 +12,7 @@ utm openpyxl geopandas; sys_platform == "darwin" or sys_platform == "linux" rtree; sys_platform == "darwin" or sys_platform == "linux" +sympy # Documentation sphinx diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index 912ee584e..fc95b687d 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -7,7 +7,7 @@ import logging import warnings from collections.abc import MutableMapping -from dataclasses import dataclass, field +from dataclasses import InitVar, dataclass, field from enum import Enum, IntFlag from typing import Any, ClassVar, Dict, Hashable, Iterator, List, Set, Tuple, Union @@ -113,6 +113,11 @@ def hydraulic_vars(self) -> Dict[str, str]: "Av": "Surface area per unit volume (area-units/L)", } + @property + def vars(self): + """access to variables directly as keyed items""" + return self._variables + def variables(self): """Generator to iterate over all user defined variables (species, terms, etc). @@ -318,12 +323,12 @@ def add_species(self, typ: Union[str, VarType], name: str, unit: str, Atol: floa typ = VarType[typ] except KeyError as k: raise ValueError("Missing/invalid value for typ, expected VarType but got {}".format(repr(typ))) from k - if typ & VarType.Bulk: + if typ & VarType.Bulk and not typ is VarType.Species: return self.add_bulk_species(name, unit, Atol, Rtol, note) - elif typ & VarType.Wall: + elif typ & VarType.Wall and not typ is VarType.Species: return self.add_wall_species(name, unit, Atol, Rtol, note) else: - raise ValueError("typ must be a valid species type but got {}".format(typ)) + raise ValueError("typ must be a valid species subtype but got {}".format(typ)) def add_bulk_species(self, name: str, unit: str, Atol: float = None, Rtol: float = None, note: str = None) -> "BulkSpecies": """_summary_ @@ -432,7 +437,7 @@ def add_coefficient( typ = VarType[typ] except KeyError as k: raise ValueError("Missing/invalid value for typ, expected VarType but got {}".format(repr(typ))) from k - if typ & VarType.Const: + if typ & VarType.Const and not typ is VarType.Coeff: if pipe_values is not None or tank_values is not None: raise ValueError( "pipe_values and tank_values must be None for constants but values for {}".format( @@ -442,10 +447,10 @@ def add_coefficient( ) ) return self.add_constant(name, value, note) - elif typ & VarType.Param: + elif typ & VarType.Param and not typ is VarType.Coeff: return self.add_parameter(name, value, note, pipe_values, tank_values) else: - raise ValueError("typ must be a valid coefficient type but got {}".format(typ)) + raise ValueError("typ must be a valid coefficient subtype but got {}".format(typ)) def add_constant(self, name: str, value: float, note: str = None) -> "Constant": """_summary_ @@ -535,7 +540,7 @@ def add_term(self, name: str, expr: str, note: str = None) -> "RxnTerm": """ if name in self._variables.keys(): raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) - expr1 = sympy.parse_expr(expr) + expr1 = sympy.parse_expr(expr, transformations=standard_transformations + (convert_xor,)) used = expr1.free_symbols undefined = used - self.all_symbols if len(undefined) > 0: @@ -544,7 +549,7 @@ def add_term(self, name: str, expr: str, note: str = None) -> "RxnTerm": self._variables[name] = new self._usage[name] = set() for v in used: - self._usage[v].add(name) + self._usage[str(v)].add(name) return new def add_reaction(self, loc: Union[str, RxnLocation], typ: Union[str, ExprType], species: Union[str, 'RxnSpecies'], expression: str, note: str = None) -> "RxnExpression": @@ -631,6 +636,10 @@ def add_pipe_reaction(self, typ: Union[str, ExprType], species: Union[str, 'RxnS else: raise ValueError("Unknown value for ExprType, got typ={}".format(typ)) self._pipe_reactions[(typ.name, species)] = new + expr = new.validate() + used = expr.free_symbols + for v in used: + self._usage[str(v)].add(('pipes', typ.name, species)) return new def add_tank_reaction(self, typ: Union[str, ExprType], species: Union[str, 'RxnSpecies'], expression: str, note: str = None) -> "RxnExpression": @@ -676,6 +685,10 @@ def add_tank_reaction(self, typ: Union[str, ExprType], species: Union[str, 'RxnS else: raise ValueError("Unknown value for ExprType, got typ={}".format(typ)) self._tank_reactions[(typ.name, species)] = new + expr = new.validate() + used = expr.free_symbols + for v in used: + self._usage[str(v)].add(('pipes', typ.name, species)) return new def get_variable(self, name) -> "RxnVariable": @@ -1008,9 +1021,9 @@ class RxnCoefficient(RxnVariable): """The global (default) value for this coefficient""" note: str = None """A note regarding this coefficient""" - pipe_values: Dict[str, float] = field(default_factory=dict, repr=False) + _pipe_values: Dict[str, float] = field(repr=False, init=False, default_factory=dict) """Values for specific pipes""" - tank_values: Dict[str, float] = field(default_factory=dict, repr=False) + _tank_values: Dict[str, float] = field(repr=False, init=False, default_factory=dict) """Values for specific tanks""" @property @@ -1061,13 +1074,6 @@ def get_value(self, *, pipe=None, tank=None) -> str: class Constant(RxnCoefficient): """A constant coefficient""" - - def __post_init__(self): - if len(self.pipe_values) > 0 or len(self.tank_values) > 0: - warnings.warn('A Constant cannot have different values for specific pipes or tanks', category=RuntimeWarning) - self.pipe_values = None - self.tank_values = None - super().__post_init__() @property def coeff_type(self): @@ -1075,10 +1081,34 @@ def coeff_type(self): typ = coeff_type - +@dataclass class Parameter(RxnCoefficient): """A coefficient that has different values based on a pipe or tank""" + pipe_values: InitVar[Dict[str, float]] = None + """Values for specific pipes""" + tank_values: InitVar[Dict[str, float]] = None + """Values for specific tanks""" + + def __post_init__(self, pipe_values_, tank_values_): + super().__post_init__() + if self._pipe_values is None: + self._pipe_values = dict() + if self._tank_values is None: + self._tank_values = dict() + if isinstance(pipe_values_, dict): + self._pipe_values.update(pipe_values_) + if isinstance(tank_values_ , dict): + self._tank_values.update(tank_values_) + + @property + def pipe_values(self): + return self._pipe_values + + @property + def tank_values(self): + return self._tank_values + @property def coeff_type(self): return VarType.Parameter @@ -1086,6 +1116,7 @@ def coeff_type(self): typ = coeff_type + @dataclass class RxnTerm(RxnVariable): """An alias for a subexpression for easier use in a reaction expression""" @@ -1122,11 +1153,17 @@ class RxnExpression: """The right-hand-side of the equation (the expression itself)""" note: str = None """A note or comment regarding this expression""" - _variables: WaterQualityReactionsModel = None + _variables: WaterQualityReactionsModel = field(compare=False, default=None) """A link to the variable registry for evaluation""" _transformations: ClassVar[Tuple] = standard_transformations + (convert_xor,) """Expression transformations""" + def __post_init__(self): + if not isinstance(self.loc, (RxnLocation, str)): + raise TypeError('loc must be a str or a RxnLocation') + if not isinstance(self.expression_type, ExprType): + raise TypeError('expression type must be an ExprType, got {}'.format(repr(self.expression_type))) + def link_variables(self, variables: WaterQualityReactionsModel): if variables is not None: self._variables = variables diff --git a/wntr/tests/test_reactions.py b/wntr/tests/test_reactions.py index 807599128..12c5df470 100644 --- a/wntr/tests/test_reactions.py +++ b/wntr/tests/test_reactions.py @@ -43,19 +43,47 @@ def test_RxnVariable_symbols_and_sympy(self): symbol2 = sympy.symbols('Kb') self.assertEqual(const1.get_symbol(), symbol2) + param1 = wntr.reaction.model.Constant('Ka', 0.482) + symbol3 = sympy.symbols('Ka') + self.assertEqual(param1.get_symbol(), symbol3) + + term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') + symbol4 = sympy.symbols('T0') + self.assertEqual(term1.get_symbol(), symbol4) + + def test_RxnVariable_values(self): species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') self.assertEqual(species1.get_value(), species1.value) self.assertRaises(TypeError, species1.get_value, pipe='blah') const1 = wntr.reaction.model.Constant('Kb', 0.482, note='test') self.assertEqual(const1.get_value(), const1.value) + test_pipe_dict = {'PIPE': 0.38} + test_tank_dict = {'TANK': 222.23} + param2 = wntr.reaction.model.Parameter('Kb', 0.482, note='test', pipe_values=test_pipe_dict, tank_values=test_tank_dict) + self.assertEqual(param2.get_value(), param2.global_value) + self.assertEqual(param2.get_value(pipe='PIPE'), test_pipe_dict['PIPE']) + self.assertEqual(param2.get_value(pipe='FOO'), param2.global_value) + self.assertEqual(param2.get_value(tank='TANK'), test_tank_dict['TANK']) + self.assertRaises(ValueError, param2.get_value, pipe='PIPE', tank='TANK') + def test_RxnVariable_string_functions(self): species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') + species2 = wntr.reaction.model.WallSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') + const1 = wntr.reaction.model.Constant('Kb', 0.482) + param1 = wntr.reaction.model.Parameter('Ka', 0.482, note='foo') + term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') + self.assertEqual(str(species1), 'Cl') self.assertEqual(species1.to_msx_string(), 'BULK Cl mg ;') - species2 = wntr.reaction.model.WallSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') self.assertEqual(species2.to_msx_string(), 'WALL Cl mg 0.01 0.0001 ;Testing stuff') + self.assertEqual(str(const1), 'Kb') + self.assertEqual(str(param1), 'Ka') + self.assertEqual(const1.to_msx_string(), 'CONSTANT Kb 0.482 ;') + self.assertEqual(param1.to_msx_string(), 'PARAMETER Ka 0.482 ;foo') + self.assertEqual(str(term1), 'T0') + self.assertEqual(term1.to_msx_string(), 'T0 -3.2 * Kb * Cl^2 ;bar') def test_RxnSpecies_tolerances(self): #"""RxnSpecies(*s) tolerance settings""" @@ -133,3 +161,140 @@ def test_Constant_creation(self): self.assertEqual(const1.value, const1.global_value) self.assertEqual(const1.coeff_type, wntr.reaction.model.VarType.Constant) self.assertEqual(const1.note, 'test') + + def test_Parameter_creation(self): + self.assertRaises(TypeError, wntr.reaction.model.Parameter, 'Re') + self.assertRaises(ValueError, wntr.reaction.model.Parameter, 'Re', 2.48) + param1 = wntr.reaction.model.Parameter('Kb', 0.482, note='test') + self.assertEqual(param1.name, 'Kb') + self.assertEqual(param1.global_value, 0.482) + self.assertEqual(param1.value, param1.global_value) + self.assertEqual(param1.coeff_type, wntr.reaction.model.VarType.Parameter) + self.assertEqual(param1.note, 'test') + test_pipe_dict = {'PIPE': 0.38} + test_tank_dict = {'TANK': 222.23} + param2 = wntr.reaction.model.Parameter('Kb', 0.482, note='test', pipe_values=test_pipe_dict, tank_values=test_tank_dict) + self.assertDictEqual(param2.pipe_values, test_pipe_dict) + self.assertDictEqual(param2.tank_values, test_tank_dict) + + def test_RxnTerm_creation(self): + self.assertRaises(TypeError, wntr.reaction.model.RxnTerm, 'Re') + self.assertRaises(ValueError, wntr.reaction.model.RxnTerm, 'Re', '1.0*Re') + term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') + self.assertEqual(term1.name, 'T0') + self.assertEqual(term1.expression, '-3.2 * Kb * Cl^2') + self.assertEqual(term1.variable_type, wntr.reaction.model.VarType.Term) + self.assertEqual(term1.note, 'bar') + self.assertEqual(term1.value, term1.expression) + + def test_RxnExpression_direct_instantiation_exceptions(self): + self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, 'Cl', wntr.reaction.model.RxnLocation.Pipes) + self.assertRaises(NotImplementedError, wntr.reaction.model.RxnExpression, 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') + self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, 'Cl') + self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, 'Cl', 39) + self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, 'Cl', 39, '-Ka + Kb * Cl + T0') + + def test_RxnExpression_strings(self): + equil1 = wntr.reaction.model.Equilibrium( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') + rate1 = wntr.reaction.model.Rate( 'Cl', wntr.reaction.model.RxnLocation.Tanks, '-Ka + Kb * Cl + T0', note='Foo Bar') + formula1 = wntr.reaction.model.Formula( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') + self.assertEqual(equil1.to_msx_string(), 'EQUIL Cl -Ka + Kb * Cl + T0 ;') + self.assertEqual(rate1.to_msx_string(), 'RATE Cl -Ka + Kb * Cl + T0 ;Foo Bar') + self.assertEqual(formula1.to_msx_string(), 'FORMULA Cl -Ka + Kb * Cl + T0 ;') + + def test_Equilibrium_creation(self): + equil1 = wntr.reaction.model.Equilibrium( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') + self.assertEqual(equil1.species, 'Cl') + self.assertEqual(equil1.expression, '-Ka + Kb * Cl + T0') + self.assertEqual(equil1.expression_type, wntr.reaction.model.ExprType.Equil) + + def test_Rate_creation(self): + rate1 = wntr.reaction.model.Rate( 'Cl', wntr.reaction.model.RxnLocation.Tanks, '-Ka + Kb * Cl + T0', note='Foo Bar') + self.assertEqual(rate1.species, 'Cl') + self.assertEqual(rate1.expression, '-Ka + Kb * Cl + T0') + self.assertEqual(rate1.expression_type, wntr.reaction.model.ExprType.Rate) + self.assertEqual(rate1.note, 'Foo Bar') + + def test_Formula_creation(self): + formula1 = wntr.reaction.model.Formula( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') + self.assertEqual(formula1.species, 'Cl') + self.assertEqual(formula1.expression, '-Ka + Kb * Cl + T0') + self.assertEqual(formula1.expression_type, wntr.reaction.model.ExprType.Formula) + + def test_WaterQualityReactionsModel_creation_specific_everything(self): + rxn_model1 = wntr.reaction.model.WaterQualityReactionsModel() + bulk1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') + wall1 = wntr.reaction.model.WallSpecies('ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') + const1 = wntr.reaction.model.Constant('Kb', 0.482) + param1 = wntr.reaction.model.Parameter('Ka', 0.482, note='foo') + term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') + equil1 = wntr.reaction.model.Equilibrium( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') + rate1 = wntr.reaction.model.Rate( 'Cl', wntr.reaction.model.RxnLocation.Tanks, '-Ka + Kb * Cl + T0', note='Foo Bar') + formula1 = wntr.reaction.model.Formula( 'ClOH', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') + + bulk2 = rxn_model1.add_bulk_species('Cl', 'mg') + wall2 = rxn_model1.add_wall_species('ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') + const2 = rxn_model1.add_constant('Kb', 0.482) + param2 = rxn_model1.add_parameter('Ka', 0.482, note='foo') + term2 = rxn_model1.add_term('T0', '-3.2 * Kb * Cl^2', note='bar') + equil2 = rxn_model1.add_pipe_reaction('equil', 'Cl', '-Ka + Kb * Cl + T0') + rate2 = rxn_model1.add_tank_reaction(wntr.reaction.model.ExprType.Rate, 'Cl', '-Ka + Kb * Cl + T0', note='Foo Bar') + formula2 = rxn_model1.add_reaction('pipes', 'formula', 'ClOH', '-Ka + Kb * Cl + T0') + self.assertEqual(bulk1, bulk2) + self.assertEqual(wall1, wall2) + self.assertEqual(const1, const2) + self.assertEqual(param1, param2) + self.assertEqual(term1, term2) + self.assertEqual(equil1, equil2) + self.assertEqual(rate1, rate2) + self.assertEqual(formula1, formula2) + + def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): + bulk1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') + wall1 = wntr.reaction.model.WallSpecies('ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') + const1 = wntr.reaction.model.Constant('Kb', 0.482) + param1 = wntr.reaction.model.Parameter('Ka', 0.482, note='foo') + term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') + + rxn_model2 = wntr.reaction.model.WaterQualityReactionsModel() + + self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.model.VarType.Species, 'Cl', 'mg') + self.assertRaises(TypeError, rxn_model2.add_coefficient, None, 'Kb', 0.482) + self.assertRaises(ValueError, rxn_model2.add_coefficient, 'Wall', 'Kb', 0.482) + + bulk3 = rxn_model2.add_species('Bulk', 'Cl', 'mg') + wall3 = rxn_model2.add_species(wntr.reaction.model.VarType.Wall, 'ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') + const3 = rxn_model2.add_coefficient('Consolation', 'Kb', 0.482) + param3 = rxn_model2.add_coefficient(wntr.reaction.model.VarType.P, 'Ka', 0.482, note='foo') + + self.assertEqual(bulk3, bulk1) + self.assertEqual(wall3, wall1) + self.assertEqual(const3, const1) + self.assertEqual(param3, param1) + + def test_WaterQualityReactionsModel_creation_generic_variables_reactions(self): + bulk1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') + wall1 = wntr.reaction.model.WallSpecies('ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') + const1 = wntr.reaction.model.Constant('Kb', 0.482) + param1 = wntr.reaction.model.Parameter('Ka', 0.482, note='foo') + term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') + + rxn_model2 = wntr.reaction.model.WaterQualityReactionsModel() + + self.assertRaises(ValueError, rxn_model2.add_variable, wntr.reaction.model.VarType.Species, 'Cl', 'mg') + self.assertRaises(ValueError, rxn_model2.add_variable, None, 'Kb', 0.482) + + bulk3 = rxn_model2.add_variable('Bulk', 'Cl', 'mg') + wall3 = rxn_model2.add_variable(wntr.reaction.model.VarType.Wall, 'ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') + const3 = rxn_model2.add_variable('Consolation', 'Kb', 0.482) + param3 = rxn_model2.add_variable(wntr.reaction.model.VarType.P, 'Ka', 0.482, note='foo') + term3 = rxn_model2.add_variable('tErM', 'T0', '-3.2 * Kb * Cl^2', note='bar') + + self.assertEqual(bulk3, bulk1) + self.assertEqual(wall3, wall1) + self.assertEqual(const3, const1) + self.assertEqual(param3, param1) + self.assertEqual(term3, term1) + +if __name__ == "__main__": + unittest.main(verbosity=2) From a47305d064c605b2cd48f4fb319c8cccdec9eba9 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 18 Aug 2023 08:47:44 -0600 Subject: [PATCH 003/118] Importing module before it existed, oops --- wntr/reaction/__init__.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/wntr/reaction/__init__.py b/wntr/reaction/__init__.py index 3270c825f..d57287b5a 100644 --- a/wntr/reaction/__init__.py +++ b/wntr/reaction/__init__.py @@ -6,8 +6,7 @@ # sympy from . import model -from . import io -from . import library +# from . import library # from . import msx_toolkit # from . import MSXPY_toolkit # from . import msx_tools \ No newline at end of file From 5431a8494a6fc20d2a08a3ed4b83a48a90674adf Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 18 Aug 2023 09:07:26 -0600 Subject: [PATCH 004/118] Documentation updates --- wntr/reaction/model.py | 122 ++++++++++++++++++++--------------------- 1 file changed, 61 insertions(+), 61 deletions(-) diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index fc95b687d..4f6c749fa 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -64,11 +64,11 @@ class ExprType(Enum): """The type of reaction expression""" Equil = 1 - """An equilibrium reaction, where expression is RHS of: 0 = f(…,Cᵢ,…), {i | i=1..n}""" + """An equilibrium reaction, where expression is RHS of: 0 = f(…,Cᵢ,…), {species i | i=1..n}""" Rate = 2 - """A decay rate equation, where expression is RHS of: ∂Cᵢ/∂t = f(…,Cᵢ,…), {i | i=1..n}""" + """A decay rate equation, where expression is RHS of: ∂Cᵢ/∂t = f(…,Cᵢ,…), {species i | i=1..n} """ Formula = 3 - """A formula reaction, where expression is RHS of: Cᵢ = f(…,Cⱼ,…), {j | j=1..n, j≠i}""" + """A formula reaction, where expression is RHS of: Cᵢ = f(…,Cⱼ,…), {species i, j | j=1..n, j≠i}""" E = Equil R = Rate F = Formula @@ -291,23 +291,23 @@ def add_species(self, typ: Union[str, VarType], name: str, unit: str, Atol: floa Parameters ---------- - typ : Union[str, VarType] - _description_ + typ : str or VarType, {'Bulk', 'Wall'} + the type of species name : str - _description_ + the species name/expression symbol unit : str - _description_ + the unit for this species Atol : float, optional - _description_, by default None + the absolute solver tolerance, by default None Rtol : float, optional - _description_, by default None + the relative solver tolerance, by default None note : str, optional - _description_, by default None + comments about the species, by default None Returns ------- - RxnSpecies - _description_ + BulkSpecies or WallSpecies + a new species object Raises ------ @@ -331,25 +331,25 @@ def add_species(self, typ: Union[str, VarType], name: str, unit: str, Atol: floa raise ValueError("typ must be a valid species subtype but got {}".format(typ)) def add_bulk_species(self, name: str, unit: str, Atol: float = None, Rtol: float = None, note: str = None) -> "BulkSpecies": - """_summary_ + """Add a new bulk species to the reaction model Parameters ---------- name : str - _description_ + the species name/expression symbol unit : str - _description_ + the unit for this species Atol : float, optional - _description_, by default None + the absolute solver tolerance, by default None Rtol : float, optional - _description_, by default None + the relative solver tolerance, by default None note : str, optional - _description_, by default None + comments about the species, by default None Returns ------- BulkSpecies - _description_ + new species object Raises ------ @@ -364,25 +364,25 @@ def add_bulk_species(self, name: str, unit: str, Atol: float = None, Rtol: float return new def add_wall_species(self, name: str, unit: str, Atol: float = None, Rtol: float = None, note: str = None) -> "WallSpecies": - """_summary_ + """Add a new wall species to the model. Parameters ---------- name : str - _description_ + the species name/expression symbol unit : str - _description_ + the unit for this species Atol : float, optional - _description_, by default None + the absolute solver tolerance, by default None Rtol : float, optional - _description_, by default None + the relative solver tolerance, by default None note : str, optional - _description_, by default None + comments about the species, by default None Returns ------- WallSpecies - _description_ + new species object Raises ------ @@ -399,27 +399,27 @@ def add_wall_species(self, name: str, unit: str, Atol: float = None, Rtol: float def add_coefficient( self, typ: Union[str, VarType], name: str, value: float, note: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None ) -> "RxnCoefficient": - """_summary_ + """Add a new coefficient (constant or parameter) to the model. Parameters ---------- - typ : Union[str, VarType] - _description_ + typ : str or VarType, {'Constant', 'Parameter'} + the coefficient type name : str - _description_ - value : float - _description_ + the coefficient name (and expression symbol) + unit : str + the value of this coefficient note : str, optional - _description_, by default None - pipe_values : Dict[str, float], optional - _description_, by default None - tank_values : Dict[str, float], optional - _description_, by default None - + comments about the species, by default None + pipe_values : dict[str, float], optional + a (partial) dictionary of specific values for the coefficient based on pipe, be default None + tank_values : dict[str, float], optional + a (partial) dictionary of specific values for the coefficient based on tank, be default None + Returns ------- - RxnCoefficient - _description_ + Constant or Parameter + the new coefficient object Raises ------ @@ -453,21 +453,21 @@ def add_coefficient( raise ValueError("typ must be a valid coefficient subtype but got {}".format(typ)) def add_constant(self, name: str, value: float, note: str = None) -> "Constant": - """_summary_ + """Add a new constant coefficient to the model. Parameters ---------- name : str - _description_ - value : float - _description_ + the coefficient name (and expression symbol) + unit : str + the value of this coefficient note : str, optional - _description_, by default None + comments about the species, by default None Returns ------- Constant - _description_ + the new coefficient object Raises ------ @@ -482,25 +482,25 @@ def add_constant(self, name: str, value: float, note: str = None) -> "Constant": return new def add_parameter(self, name: str, value: float, note: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None) -> "Parameter": - """_summary_ + """A parameterized coefficient with a global value and additional values based on pipe or tank. Parameters ---------- name : str - _description_ - value : float - _description_ + the coefficient name (and expression symbol) + unit : str + the value of this coefficient note : str, optional - _description_, by default None - pipe_values : Dict[str, float], optional - _description_, by default None - tank_values : Dict[str, float], optional - _description_, by default None + comments about the species, by default None + pipe_values : dict[str, float], optional + a (partial) dictionary of specific values for the coefficient based on pipe, be default None + tank_values : dict[str, float], optional + a (partial) dictionary of specific values for the coefficient based on tank, be default None Returns ------- Parameter - _description_ + the new coefficient object Raises ------ @@ -515,21 +515,21 @@ def add_parameter(self, name: str, value: float, note: str = None, pipe_values: return new def add_term(self, name: str, expr: str, note: str = None) -> "RxnTerm": - """_summary_ + """A new shortcut term for use in equations. Parameters ---------- name : str - _description_ + the name and symbol for the term expr : str - _description_ + the expression note : str, optional - _description_, by default None + a comment or note about the term, by default None Returns ------- RxnTerm - _description_ + the new term object Raises ------ From 4ae43dbc9e99d061c199b8f151be054d5d0244f4 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 25 Aug 2023 12:20:30 -0600 Subject: [PATCH 005/118] Code updates for MSX utilities --- wntr/reaction/io.py | 31 + wntr/reaction/model.py | 1271 ++-------------------------------- wntr/reaction/options.py | 246 +++++++ wntr/reaction/toolkitmsx.py | 596 ++++++++++++++++ wntr/tests/test_reactions.py | 334 ++++----- 5 files changed, 1099 insertions(+), 1379 deletions(-) create mode 100644 wntr/reaction/io.py create mode 100644 wntr/reaction/options.py create mode 100644 wntr/reaction/toolkitmsx.py diff --git a/wntr/reaction/io.py b/wntr/reaction/io.py new file mode 100644 index 000000000..54e6a77a6 --- /dev/null +++ b/wntr/reaction/io.py @@ -0,0 +1,31 @@ +# coding: utf-8 + +import sys +import logging + +sys_default_enc = sys.getdefaultencoding() + + +logger = logging.getLogger(__name__) + + +class MsxFile(object): + + def __init__(self): + pass + + def read(self, msx_file, rxn_model=None): + pass + + def write(self, filename, rxn_model): + pass + + + +class MsxBinFile(object): + def __init__(self): + pass + + def read(self, filename): + pass + diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index 4f6c749fa..749053389 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -7,1233 +7,80 @@ import logging import warnings from collections.abc import MutableMapping -from dataclasses import InitVar, dataclass, field +from dataclasses import InitVar, dataclass, field, asdict from enum import Enum, IntFlag -from typing import Any, ClassVar, Dict, Hashable, Iterator, List, Set, Tuple, Union +from typing import Any, ClassVar, Dict, Generator, Hashable, Iterator, List, Set, Tuple, Union import sympy -from sympy import Float, Symbol, symbols +from sympy import Float, Symbol, symbols, init_printing from sympy.parsing import parse_expr from sympy.parsing.sympy_parser import standard_transformations, convert_xor +from wntr.network.model import WaterNetworkModel +from .base import ReactionDynamics, ReactionVariable +from .variables import InternalVariable +from .options import RxnOptions +from .base import DynamicsRegistry, VariableRegistry, RxnExprType, RxnLocType, RxnVarType, DisjointMapping, RESERVED_NAMES, SYMPY_RESERVED -class VarType(IntFlag): - """The type of reaction variable""" +class MultispeciesWaterQualityModel(DynamicsRegistry, VariableRegistry): - Bulk = 1 - """A species that reacts with other bulk chemicals""" - Wall = 2 - """A species that reacts with the pipe walls""" - Constant = 4 - """A constant coefficient for use in a reaction expression""" - Parameter = 8 - """A coefficient that has a value dependent on the pipe or tank""" - Term = 16 - """A term that is aliased for ease of writing expressions""" - # Hydraulic = 32 - # """A hydraulic variable - users should not use this""" + def __init__(self, title: str = None, desc: str = None, allow_sympy_reserved=False): + self.title: str = title + self.desc: str = desc + self.options = RxnOptions() + self._wn: WaterNetworkModel = None - Species = Bulk | Wall - """A reaction species""" - Coeff = Constant | Parameter - """A reaction coefficient""" + self._variables: Dict[str, ReactionVariable] = dict() + self._species = DisjointMapping(self._variables) + self._coeff = DisjointMapping(self._variables) + self._terms = DisjointMapping(self._variables) - B = Bulk - W = Wall - C = Constant - P = Parameter - T = Term - # H = Hydraulic - # Hyd = Hydraulic - Const = Constant - Param = Parameter + self._dynamics: Dict[str, ReactionDynamics] = dict() + self._pipe_dynamics = DisjointMapping(self._dynamics) + self._tank_dynamics = DisjointMapping(self._dynamics) + for name in RESERVED_NAMES: + self._variables[name] = InternalVariable(name) + if not allow_sympy_reserved: + for name in SYMPY_RESERVED: + self._variables[name] = InternalVariable(name) -class RxnLocation(Enum): - """What type of network component does this reaction occur in""" + def link_water_network_model(self, wn: WaterNetworkModel): + self._wn = wn - Pipes = 1 - """The expression describes a reaction in pipes""" - Tanks = 2 - """The expression describes a reaction in tanks""" - P = Pipes - T = Tanks - - -class ExprType(Enum): - """The type of reaction expression""" - - Equil = 1 - """An equilibrium reaction, where expression is RHS of: 0 = f(…,Cᵢ,…), {species i | i=1..n}""" - Rate = 2 - """A decay rate equation, where expression is RHS of: ∂Cᵢ/∂t = f(…,Cᵢ,…), {species i | i=1..n} """ - Formula = 3 - """A formula reaction, where expression is RHS of: Cᵢ = f(…,Cⱼ,…), {species i, j | j=1..n, j≠i}""" - E = Equil - R = Rate - F = Formula - - -class WaterQualityReactionsModel: - """A registry of the reaction variables.""" - - RESERVED_NAMES = ("D", "Q", "U", "Re", "Us", "Ff", "Av", "E", "I", "pi") - """These (case sensitive) names are reserved for hydraulic variables and sympy - physical constants. Note that physical constants E, I, and pi are *not* valid MSX - variables - they are reserved symbols in sympy and so they should not be used - for variable names.""" - - def __init__(self): - self._variables: Dict[str, RxnVariable] = dict() - self._usage: Dict[str, Set[str]] = dict() - self._pipe_reactions: Dict[Hashable, RxnExpression] = dict() - self._tank_reactions: Dict[Hashable, RxnExpression] = dict() - for v in self.RESERVED_NAMES: - self._usage[v] = set() - - @property - def hydraulic_vars(self) -> Dict[str, str]: - """The following are the hydraulic variables usable within expressions and terms. - - D : pipe diameter (feet or meters) - Q : pipe flow rate (flow units) - U : pipe flow velocity (ft/s or m/s) - Re : flow Reynolds number - Us : pipe shear velocity (ft/s or m/s) - Ff : Darcy-Weisbach friction factor - Av : Surface area per unit volume (area-units/L) - """ - return { - "D": "pipe diameter (feet or meters)", - "Q": "pipe flow rate (flow units)", - "U": "pipe flow velocity (ft/s or m/s)", - "Re": "flow Reynolds number", - "Us": "pipe shear velocity (ft/s or m/s)", - "Ff": "Darcy-Weisbach friction factor", - "Av": "Surface area per unit volume (area-units/L)", - } - - @property - def vars(self): - """access to variables directly as keyed items""" - return self._variables - - def variables(self): - """Generator to iterate over all user defined variables (species, terms, etc). - - Yields - ------ - str, RxnVariable - name and object - - Raises - ------ - StopIteration - """ + def variables(self, var_type=None): + var_type = RxnVarType.make(var_type) for k, v in self._variables.items(): + if var_type is not None and v.var_type != var_type: + continue yield k, v - raise StopIteration - - def species(self): - """Generator to iterate over all species. - - Yields - ------ - str, RxnSpecies - name and object - - Raises - ------ - StopIteration - """ - for k, v in self._variables.items(): - if isinstance(v, RxnSpecies): - yield k, v - raise StopIteration - - def coefficients(self): - """Generator to iterate over all coefficients. - - Yields - ------ - str, RxnCoefficient - name and object - - Raises - ------ - StopIteration - """ - for k, v in self._variables.items(): - if isinstance(v, RxnCoefficient): - yield k, v - raise StopIteration - - def terms(self): - """Generator to iterate over all terms. - - Yields - ------ - str, RxnTerm - name and object - - Raises - ------ - StopIteration - """ - for k, v in self._variables.items(): - if isinstance(v, RxnTerm): - yield k, v - raise StopIteration - - def reactions(self): - """Generator to iterate over all expressions. - - Yields - ------ - RxnExpression - reaction expression object - - Raises - ------ - StopIteration - """ - for v in self._pipe_reactions.values(): - yield v - for v in self._tank_reactions.values(): - yield v - raise StopIteration - - def pipe_reactions(self): - """Generator to iterate over all expressions. - - Yields - ------ - RxnExpression - reaction expression object - - Raises - ------ - StopIteration - """ - for v in self._pipe_reactions.values(): - yield v - raise StopIteration - - def tank_reactions(self): - """Generator to iterate over all expressions. - - Yields - ------ - RxnExpression - reaction expression object - - Raises - ------ - StopIteration - """ - for v in self._tank_reactions.values(): - yield v - raise StopIteration - - @property - def all_symbols(self) -> Set[sympy.Symbol]: - """Set of all symbols defined, including hydraulic variables""" - return set(symbols(" ".join(self._usage.keys()))) - - @property - def variable_names(self) -> Set[str]: - """Set of all user-defined symbols (excludes hydraulic variables)""" - return self._variables.keys() - - def add_variable(self, typ: Union[str, VarType], name: str, *args, note: str = None, **kwargs) -> "RxnVariable": - """Add a new variable to the Reactions object. - - Parameters - ---------- - typ : str or VarType - the type of variable - name : str - the name (symbol) for the variable - note : str, optional - a note or comment describing the variable, by default None - - Returns - ------- - RxnVariable - the new variable - - Raises - ------ - ValueError - - if name already exists, or - - missing or invalid value for :param:`typ` - """ - if name in self._variables.keys(): - raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) - if not typ: - raise ValueError("Missing/invalid value for typ, got {}".format(typ)) - if isinstance(typ, str) and len(typ) > 0: - typ = typ[0].upper() - try: - typ = VarType[typ] - except KeyError as k: - raise ValueError("Missing/invalid value for typ, expected VarType but got {}".format(repr(typ))) from k - if typ & VarType.Species: - return self.add_species(typ, name, *args, note=note, **kwargs) - elif typ & VarType.Coeff: - return self.add_coefficient(typ, name, *args, note=note, **kwargs) - elif typ & VarType.Term: - return self.add_term(name, *args, note=note, **kwargs) - raise ValueError("Missing/invalid value for typ, got {}".format(typ)) - - def add_species(self, typ: Union[str, VarType], name: str, unit: str, Atol: float = None, Rtol: float = None, note: str = None) -> "RxnSpecies": - """Add a species to the Reactions object - - Parameters - ---------- - typ : str or VarType, {'Bulk', 'Wall'} - the type of species - name : str - the species name/expression symbol - unit : str - the unit for this species - Atol : float, optional - the absolute solver tolerance, by default None - Rtol : float, optional - the relative solver tolerance, by default None - note : str, optional - comments about the species, by default None - - Returns - ------- - BulkSpecies or WallSpecies - a new species object - - Raises - ------ - ValueError - - a variable with the :param:`name` already exists - - an incorrect value for :param:`typ` - """ - if name in self._variables.keys(): - raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) - if isinstance(typ, str) and len(typ) > 0: - typ = typ[0].upper() - try: - typ = VarType[typ] - except KeyError as k: - raise ValueError("Missing/invalid value for typ, expected VarType but got {}".format(repr(typ))) from k - if typ & VarType.Bulk and not typ is VarType.Species: - return self.add_bulk_species(name, unit, Atol, Rtol, note) - elif typ & VarType.Wall and not typ is VarType.Species: - return self.add_wall_species(name, unit, Atol, Rtol, note) - else: - raise ValueError("typ must be a valid species subtype but got {}".format(typ)) - - def add_bulk_species(self, name: str, unit: str, Atol: float = None, Rtol: float = None, note: str = None) -> "BulkSpecies": - """Add a new bulk species to the reaction model - - Parameters - ---------- - name : str - the species name/expression symbol - unit : str - the unit for this species - Atol : float, optional - the absolute solver tolerance, by default None - Rtol : float, optional - the relative solver tolerance, by default None - note : str, optional - comments about the species, by default None - - Returns - ------- - BulkSpecies - new species object - - Raises - ------ - ValueError - a variable with the :param:`name` already exists - """ - if name in self._variables.keys(): - raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) - new = BulkSpecies(name=name, unit=unit, Atol=Atol, Rtol=Rtol, note=note) - self._variables[name] = new - self._usage[name] = set() - return new - - def add_wall_species(self, name: str, unit: str, Atol: float = None, Rtol: float = None, note: str = None) -> "WallSpecies": - """Add a new wall species to the model. - - Parameters - ---------- - name : str - the species name/expression symbol - unit : str - the unit for this species - Atol : float, optional - the absolute solver tolerance, by default None - Rtol : float, optional - the relative solver tolerance, by default None - note : str, optional - comments about the species, by default None - - Returns - ------- - WallSpecies - new species object - - Raises - ------ - ValueError - a variable with the :param:`name` already exists - """ - if name in self._variables.keys(): - raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) - new = WallSpecies(name=name, unit=unit, Atol=Atol, Rtol=Rtol, note=note) - self._variables[name] = new - self._usage[name] = set() - return new - - def add_coefficient( - self, typ: Union[str, VarType], name: str, value: float, note: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None - ) -> "RxnCoefficient": - """Add a new coefficient (constant or parameter) to the model. - - Parameters - ---------- - typ : str or VarType, {'Constant', 'Parameter'} - the coefficient type - name : str - the coefficient name (and expression symbol) - unit : str - the value of this coefficient - note : str, optional - comments about the species, by default None - pipe_values : dict[str, float], optional - a (partial) dictionary of specific values for the coefficient based on pipe, be default None - tank_values : dict[str, float], optional - a (partial) dictionary of specific values for the coefficient based on tank, be default None - - Returns - ------- - Constant or Parameter - the new coefficient object - - Raises - ------ - ValueError - - a variable with the :param:`name` already exists - - an incorrect value for :param:`typ` - TypeError - value(s) were passed for :param:`pipe_values` or :param:`tank_values` but the :param:`typ` is ``Constant`` - """ - if name in self._variables.keys(): - raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) - if isinstance(typ, str) and len(typ) > 0: - typ = typ[0].upper() - try: - typ = VarType[typ] - except KeyError as k: - raise ValueError("Missing/invalid value for typ, expected VarType but got {}".format(repr(typ))) from k - if typ & VarType.Const and not typ is VarType.Coeff: - if pipe_values is not None or tank_values is not None: - raise ValueError( - "pipe_values and tank_values must be None for constants but values for {}".format( - ("pipe_values" if pipe_values is not None else "") - + (" and " if pipe_values is not None and tank_values is not None else "") - + ("tank_values" if tank_values is not None else "") - ) - ) - return self.add_constant(name, value, note) - elif typ & VarType.Param and not typ is VarType.Coeff: - return self.add_parameter(name, value, note, pipe_values, tank_values) - else: - raise ValueError("typ must be a valid coefficient subtype but got {}".format(typ)) - - def add_constant(self, name: str, value: float, note: str = None) -> "Constant": - """Add a new constant coefficient to the model. - - Parameters - ---------- - name : str - the coefficient name (and expression symbol) - unit : str - the value of this coefficient - note : str, optional - comments about the species, by default None - - Returns - ------- - Constant - the new coefficient object - - Raises - ------ - ValueError - a variable with the :param:`name` already exists - """ - if name in self._variables.keys(): - raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) - new = Constant(name=name, global_value=value, note=note) - self._variables[name] = new - self._usage[name] = set() - return new - - def add_parameter(self, name: str, value: float, note: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None) -> "Parameter": - """A parameterized coefficient with a global value and additional values based on pipe or tank. - - Parameters - ---------- - name : str - the coefficient name (and expression symbol) - unit : str - the value of this coefficient - note : str, optional - comments about the species, by default None - pipe_values : dict[str, float], optional - a (partial) dictionary of specific values for the coefficient based on pipe, be default None - tank_values : dict[str, float], optional - a (partial) dictionary of specific values for the coefficient based on tank, be default None - - Returns - ------- - Parameter - the new coefficient object - - Raises - ------ - ValueError - a variable with the :param:`name` already exists - """ - if name in self._variables.keys(): - raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) - new = Parameter(name=name, global_value=value, note=note, pipe_values=pipe_values, tank_values=tank_values) - self._variables[name] = new - self._usage[name] = set() - return new - - def add_term(self, name: str, expr: str, note: str = None) -> "RxnTerm": - """A new shortcut term for use in equations. - - Parameters - ---------- - name : str - the name and symbol for the term - expr : str - the expression - note : str, optional - a comment or note about the term, by default None - - Returns - ------- - RxnTerm - the new term object - - Raises - ------ - ValueError - a variable with the :param:`name` already exists - NameError - the term uses variable names that are undefined - """ - if name in self._variables.keys(): - raise ValueError("A variable named {} already exists: {}".format(name, self._variables[name])) - expr1 = sympy.parse_expr(expr, transformations=standard_transformations + (convert_xor,)) - used = expr1.free_symbols - undefined = used - self.all_symbols - if len(undefined) > 0: - raise NameError("Undefined symbol(s) {} in term {}".format(undefined, name)) - new = RxnTerm(name=name, expression=expr, note=note) - self._variables[name] = new - self._usage[name] = set() - for v in used: - self._usage[str(v)].add(name) - return new - - def add_reaction(self, loc: Union[str, RxnLocation], typ: Union[str, ExprType], species: Union[str, 'RxnSpecies'], expression: str, note: str = None) -> "RxnExpression": - """Add a new reaction - - Parameters - ---------- - loc : str or RxnLocation - the location for the reaction: Pipe or Tank - typ : str or ExprType - the type of expression: Rate, Equilibrium or Formula - species : str or RxnSpecies - the species that is being described - expression : str - the actual mathematical expression - note : str, optional - any notes or comments, by default None - - Returns - ------- - RxnExpression - the new expression object - - Raises - ------ - ValueError - an incorrect/invalid value for :param:`loc` - """ - if not loc: - raise ValueError("A valid ExprLocationType must be specified for loc, but got {}".format(repr(loc))) - if isinstance(loc, str) and len(loc) > 0: - loc = loc[0].upper() - try: - loc = RxnLocation[loc] - except KeyError as k: - raise ValueError("Missing/unknown value for loc, expected ExprLocationType but got {}".format(loc)) from k - if loc is RxnLocation.Pipes: - return self.add_pipe_reaction(typ=typ, species=species, expression=expression, note=note) - elif loc is RxnLocation.Tanks: - return self.add_tank_reaction(typ=typ, species=species, expression=expression, note=note) - else: - raise ValueError("Missing/unknown value for loc, expected ExprLocationType but got {}".format(loc)) - - def add_pipe_reaction(self, typ: Union[str, ExprType], species: Union[str, 'RxnSpecies'], expression: str, note: str = None) -> "RxnExpression": - """Add a new pipe reaction to the model. - - Parameters - ---------- - typ : str or ExprType - the type of expression: Rate, Equilibrium or Formula - species : str - the species that is being described - expression : str - the actual mathematical expression - note : str, optional - any notes or comments, by default None - - Returns - ------- - RxnExpression - the new expression object - - Raises - ------ - ValueError - an incorrect/invalid value for :param:`typ` - """ - if species is not None: - species = str(species) - if not typ: - raise ValueError("A valid ExprType must be specified for typ, got {}".format(repr(typ))) - if isinstance(typ, str) and len(typ) > 0: - typ = typ[0].upper() - try: - typ = ExprType[typ] - except KeyError as k: - raise ValueError("Missing/unknown value for typ, expected ExprType but got {}".format(typ)) from k - if typ is ExprType.Equil: - new = Equilibrium(species=species, loc=RxnLocation.Pipes, expression=expression, note=note, _variables=self) - elif typ is ExprType.Rate: - new = Rate(species=species, loc=RxnLocation.Pipes, expression=expression, note=note, _variables=self) - elif typ is ExprType.Formula: - new = Formula(species=species, loc=RxnLocation.Pipes, expression=expression, note=note, _variables=self) - else: - raise ValueError("Unknown value for ExprType, got typ={}".format(typ)) - self._pipe_reactions[(typ.name, species)] = new - expr = new.validate() - used = expr.free_symbols - for v in used: - self._usage[str(v)].add(('pipes', typ.name, species)) - return new - - def add_tank_reaction(self, typ: Union[str, ExprType], species: Union[str, 'RxnSpecies'], expression: str, note: str = None) -> "RxnExpression": - """Add a new tank reaction to the model. - - Parameters - ---------- - typ : str or ExprType - the type of expression: Rate, Equilibrium or Formula - species : str - the species that is being described - expression : str - the actual mathematical expression - note : str, optional - any notes or comments, by default None - - Returns - ------- - RxnExpression - the new expression object - - Raises - ------ - ValueError - an incorrect/invalid value for :param:`typ` - """ - if species is not None: - species = str(species) - if not typ: - raise ValueError("A valid ExprType must be specified for typ, got {}".format(repr(typ))) - if isinstance(typ, str) and len(typ) > 0: - typ = typ[0].upper() - try: - typ = ExprType[typ] - except KeyError as k: - raise ValueError("Missing/unknown value for typ, expected ExprType but got {}".format(typ)) from k - if typ is ExprType.Equil: - new = Equilibrium(species=species, loc=RxnLocation.Tanks, expression=expression, note=note, _variables=self) - elif typ is ExprType.Rate: - new = Rate(species=species, loc=RxnLocation.Tanks, expression=expression, note=note, _variables=self) - elif typ is ExprType.Formula: - new = Formula(species=species, loc=RxnLocation.Tanks, expression=expression, note=note, _variables=self) - else: - raise ValueError("Unknown value for ExprType, got typ={}".format(typ)) - self._tank_reactions[(typ.name, species)] = new - expr = new.validate() - used = expr.free_symbols - for v in used: - self._usage[str(v)].add(('pipes', typ.name, species)) - return new - - def get_variable(self, name) -> "RxnVariable": - """Get a variable by name. - - Parameters - ---------- - name : str - the name of a defined variable - - Returns - ------- - RxnVariable - the variable requested - - Raises - ------ - KeyError - if a variable with that name does not exist - TypeError - if the variable is one of the :attr:`RESERVED_NAMES` that is not - an object - """ - if name in self.RESERVED_NAMES: - raise TypeError("You cannot request one of the hydraulic variables or reserved sympy names") - try: - return self._variables[name] - except KeyError as e: - raise KeyError("There is no such variable: {}. Remember that variables are case sensitive".format(name)) from e - - def get_reaction(self, loc, typ, species) -> "RxnExpression": - """_summary_ - - Parameters - ---------- - loc : str or RxnLocation - the location (pipe or tank) the reaction occurs - typ : str or ExprType - the type of reaction to get - species : str or RxnSpecies - the species to get the reaction for - - Returns - ------- - RxnExpression - the reaction expression object - - Raises - ------ - TypeError - :param:`loc`, :param:`typ` or :param:`species` is ``None`` - ValueError - - :param:`loc` or :param:`typ` is incorrect/invalid - - :param:`species` is undefined - KeyError - - the requested reaction expression is undefined - """ - if species is not None: - species = str(species) - if not species or species not in self._variables.keys(): - raise TypeError("A valid name must be specified for species, but got {}".format(species)) - if not loc: - raise TypeError("A valid RxnLocation must be specified for loc, but got {}".format(repr(loc))) - if not typ: - raise TypeError("A valid ExprType must be specified for typ, got {}".format(repr(typ))) - if species not in self._variables.keys(): - raise ValueError('Unknown species, {}'.format(species)) - if isinstance(loc, str) and len(loc) > 0: - loc = loc[0].upper() - try: - loc = RxnLocation[loc] - except KeyError as k: - raise ValueError("Missing/unknown value for loc, expected RxnLocation but got {}".format(loc)) from k - if isinstance(typ, str) and len(typ) > 0: - typ = typ[0].upper() - try: - typ = ExprType[typ] - except KeyError as k: - raise ValueError("Missing/unknown value for typ, expected ExprType but got {}".format(typ)) from k - if loc is RxnLocation.Pipes: - return self._pipe_reactions[(typ.name, species)] - elif loc is RxnLocation.Tanks: - return self._tank_reactions[(typ.name, species)] - else: - raise ValueError("Invalid RxnLocation specified, got {}".format(loc)) - - def get_reactions(self, loc: Union[str, RxnLocation] = None, typ: Union[str, ExprType] = None, species: Union[str, "RxnSpecies"] = None) -> List["RxnExpression"]: - """Get a subset of all reactions based on the criteria specified in the parameters (ANDed). - - Parameters - ---------- - loc : str or RxnLocation, optional - limit to pipe or tank reactions, by default None (both pipes and tanks) - typ : str or ExprType, optional - limit to rate, formula, or equilibrium reactions, by default None (all types) - species : str or RxnSpecies, optional - limit to a specific species, by default Non (all species) - - Returns - ------- - list of RxnExpression - reactions that match all the criteria specified - - Raises - ------ - ValueError - - invalid string passed in for :param:`loc` - - invalid string passed in for :param:`typ` - """ - if isinstance(loc, str) and len(loc) > 0: - loc = loc[0].upper() - try: - loc = RxnLocation[loc] - except KeyError as k: - raise ValueError("Missing/unknown value for loc, expected RxnLocation but got {}".format(loc)) from k - if isinstance(typ, str) and len(typ) > 0: - typ = typ[0].upper() - try: - typ = ExprType[typ] - except KeyError as k: - raise ValueError("Missing/unknown value for typ, expected ExprType but got {}".format(typ)) from k - if species is not None: - species = str(species) - reactions = list() - if loc is None or loc == RxnLocation.Pipes: - for k, v in self._pipe_reactions.items(): - if (k[0] == typ or typ is None) and (k[1] == species or species is None): - reactions.append(v) - if loc is None or loc == RxnLocation.Tanks: - for k, v in self._tank_reactions.items(): - if (k[0] == typ or typ is None) and (k[1] == species or species is None): - reactions.append(v) - return reactions - -@dataclass -class RxnVariable: - """Any variable defined for use in a reaction expression""" - - name: str - """The name (symbol) of the variable""" - typ: ClassVar[VarType] - """The type of variable""" - value: ClassVar[Union[str, float]] - """The value of the variable, with type dependent on the type of variable""" - note = None - """A comment or note attached to the variable""" - - @property - def variable_type(self) -> VarType: - """The type of variable""" - return self.typ - - def get_symbol(self) -> sympy.Symbol: - """Get a sympy Symbol from the name""" - return symbols(self.name) - - def get_value(self, *, pipe=None, tank=None) -> Union[float, str]: - """Get the unit for a species, the value of a constant or parameter, or an expression for a term. - - Parameters - ---------- - pipe : str or Pipe, optional - a pipe or pipe name to use when getting the value, by default None - tank : str or Tank, optional - a tank or tank name to use when getting the value, by default None - - Returns - ------- - float or str - a float or string, depending on the type - - Raises - ------ - NotImplementedError - if a subclass does not implement this function - """ - raise NotImplementedError - - def __post_init__(self): - if self.name in WaterQualityReactionsModel.RESERVED_NAMES: - raise ValueError("the name {} is reserved for a built-in hydraulic variable".format(self.name)) - if not hasattr(self, 'typ'): - raise NotImplementedError('RxnVariable class cannot be instantiated directly') - if not isinstance(self.typ, VarType): - raise ValueError("expected VarType, got {}".format(type(self.typ))) - if self.typ is VarType.Species or self.typ is VarType.Coeff: - raise ValueError("generic {} type is inappropriate".format(self.typ)) - - def _get_tolerances(self) -> str: - return "" - - def to_msx_string(self) -> str: - """Convert to an EPANET-MSX input-file formatted line. - - Returns - ------- - str - the EPANET_MSX input-file formatted text - - Raises - ------ - TypeError - if the type is improper - """ - if self.typ & VarType.Species: - return "{} {} {} {} ;{}".format(self.typ.name.upper(), self.name, self.value, self._get_tolerances(), self.note if self.note else "") - elif self.typ & VarType.Coeff: - return "{} {} {} ;{}".format(self.typ.name.upper(), self.name, self.value, self.note if self.note else "") - elif self.typ & VarType.Term: - return "{} {} ;{}".format(self.name, self.value, self.note if self.note else "") - raise TypeError("typ must be a VarType but got {} - how did you do that???".format(type(self.typ))) - - def __str__(self): - return self.name - - -@dataclass -class RxnSpecies(RxnVariable): - """A water quality species, either biologic or chemical.""" - - unit: str - """The unit for this species' concentration""" - Atol: float = None - """The absolute tolerance to use when solving equations for this species""" - Rtol: float = None - """The relative tolerance to use when solving equations for this species""" - note: str = None - """A note regarding the species""" - - @property - def species_type(self) -> VarType: - """The type of species""" - raise NotImplementedError("subclass of RxnSpecies failed to implement species_type property") - - typ = species_type - - def __post_init__(self): - super().__post_init__() - if not (self.typ & VarType.Species): - raise ValueError("species must be Bulk or Wall type") - if (self.Atol is not None and self.Rtol is None) or (self.Atol is None and self.Rtol is not None): - raise ValueError("Atol and Rtol must both be None or both be > 0") - - @property - def _value(self): - return self.unit - - value = _value - - def get_value(self) -> str: - """Get the unit of the reaction species.""" - return self.value - - def _get_tolerances(self) -> str: - if self.Atol is not None: - return "{} {}".format(self.Atol, self.Rtol) - return "" - - def get_tolerances(self) -> Union[Tuple[float, float], None]: - """Get the tolerances for the species equations. - - Returns - ------- - (float, float) or None - the absolute and relative tolerance - """ - if self.Atol is not None: - return (self.Atol, self.Rtol,) - return None - - def set_tolerances(self, Atol: float, Rtol: float): - """Set the absolute and relative tolerances for the solver for this species. - - Parameters - ---------- - Atol : float - absolute tolerance for the solver - Rtol : float - relative tolerance for the solver - - Raises - ------ - ValueError - if either tolerance is less than or equal to zero - ValueError - if only one tolerance is set - """ - try: - if Atol is None and Rtol is None: - self.clear_tolerances() - elif Atol > 0 and Rtol > 0: - self.Atol = Atol - self.Rtol = Rtol - else: - raise ValueError("both Atol and Rtol must be greater than 0") - except TypeError as e: - raise TypeError("Atol and Rtol must both be None or both be positive real numbers") from e - - def clear_tolerances(self): - """Clear custom tolerances for the species""" - self.Atol = self.Rtol = None - - -class BulkSpecies(RxnSpecies): - """A bulk-reaction species""" - - @property - def species_type(self): - return VarType.Bulk - - typ = species_type - - -class WallSpecies(RxnSpecies): - """A wall-reaction species""" - - @property - def species_type(self): - return VarType.Wall - - typ = species_type - - -@dataclass -class RxnCoefficient(RxnVariable): - """A coefficient used in terms or reaction expressions""" - - global_value: float - """The global (default) value for this coefficient""" - note: str = None - """A note regarding this coefficient""" - _pipe_values: Dict[str, float] = field(repr=False, init=False, default_factory=dict) - """Values for specific pipes""" - _tank_values: Dict[str, float] = field(repr=False, init=False, default_factory=dict) - """Values for specific tanks""" - - @property - def coeff_type(self) -> VarType: - """The coefficient type, either constant or parameter. - - Returns - ------- - VarType - the type of coefficient - - Raises - ------ - NotImplementedError - if a subclass failed to overload this property - """ - raise NotImplementedError("subclass of RxnCoefficient failed to implement coeff_type property") - - typ = coeff_type - - @property - def _value(self): - return self.global_value - - value = _value - - def __post_init__(self): - super().__post_init__() - if not (self.typ & VarType.Coeff): - raise ValueError("coefficients must be Constant or Parameter type") - try: - self.global_value = float(self.global_value) - except ValueError as e: - raise ValueError("coefficients must have a real value but got {}".format(self.global_value)) from e - - def get_value(self, *, pipe=None, tank=None) -> str: - if pipe is not None and tank is not None: - raise ValueError("coefficients cannot have both pipe and tank specified") - if self.typ & VarType.Constant: - if pipe is not None or tank is not None: - warnings.warn('constants only have global values, returning the global value', RuntimeWarning) - return self.global_value - if pipe is not None: - return self.pipe_values.get(str(pipe), self.global_value) - else: - return self.tank_values.get(str(tank), self.global_value) - - -class Constant(RxnCoefficient): - """A constant coefficient""" + def dynamics(self, location=None): + location = RxnLocType.make(location) + for k, v in self._dynamics.items(): + if location is not None and v.location != location: + continue + yield k, v - @property - def coeff_type(self): - return VarType.Constant - - typ = coeff_type - -@dataclass -class Parameter(RxnCoefficient): - """A coefficient that has different values based on a pipe or tank""" - - pipe_values: InitVar[Dict[str, float]] = None - """Values for specific pipes""" - tank_values: InitVar[Dict[str, float]] = None - """Values for specific tanks""" - - def __post_init__(self, pipe_values_, tank_values_): - super().__post_init__() - if self._pipe_values is None: - self._pipe_values = dict() - if self._tank_values is None: - self._tank_values = dict() - if isinstance(pipe_values_, dict): - self._pipe_values.update(pipe_values_) - if isinstance(tank_values_ , dict): - self._tank_values.update(tank_values_) - - @property - def pipe_values(self): - return self._pipe_values + def add_dynamics(self, dyn: ReactionDynamics): + return super().add_dynamics(dyn) - @property - def tank_values(self): - return self._tank_values - - @property - def coeff_type(self): - return VarType.Parameter - - typ = coeff_type - - - -@dataclass -class RxnTerm(RxnVariable): - """An alias for a subexpression for easier use in a reaction expression""" - - expression: str - """A subexpression using species and coefficients""" - note: str = None - """A note or comment about this term""" - - @property - def variable_type(self): - return VarType.Term - - typ = variable_type - - @property - def _value(self): - return self.expression - - value = _value - - -@dataclass -class RxnExpression: - """A reaction expression""" - - species: str - """The species the expression applies to""" - loc: RxnLocation - """Does this reaction occur in pipes or tanks""" - typ: ClassVar[ExprType] - """The left-hand-side of the equation (the type of equation)""" - expression: str - """The right-hand-side of the equation (the expression itself)""" - note: str = None - """A note or comment regarding this expression""" - _variables: WaterQualityReactionsModel = field(compare=False, default=None) - """A link to the variable registry for evaluation""" - _transformations: ClassVar[Tuple] = standard_transformations + (convert_xor,) - """Expression transformations""" - - def __post_init__(self): - if not isinstance(self.loc, (RxnLocation, str)): - raise TypeError('loc must be a str or a RxnLocation') - if not isinstance(self.expression_type, ExprType): - raise TypeError('expression type must be an ExprType, got {}'.format(repr(self.expression_type))) - - def link_variables(self, variables: WaterQualityReactionsModel): - if variables is not None: - self._variables = variables - self.validate() - - def validate(self): - """Validate the expression by checking variables are defined. - - Returns - ------- - sympy expression - _description_ - - Raises - ------ - ValueError - _description_ - RuntimeError - _description_ - """ - if self._variables is None: - raise ValueError("No variables have been linked to this RxnExpression") - expr = sympy.parse_expr(self.expression, transformations=self._transformations) - expr_vars = expr.free_symbols - missing = expr_vars - self._variables.all_symbols - if len(missing) > 0: - raise RuntimeError("Validation failed: the following symbols are undefined: {}".format(missing)) - return expr - - @property - def expression_type(self) -> ExprType: - """The type of expression""" - raise NotImplementedError("subclass of RxnExpression does not define the expression type") - - def to_msx_string(self) -> str: - """Get the expression as an EPANET-MSX input-file style string. - - Returns - ------- - str - the expression for use in an EPANET-MSX input file - """ - return "{} {} {} ;{}".format(self.typ.name.upper(), self.species, self.expression, self.note if self.note else "") - - -class Equilibrium(RxnExpression): - """An equilibrium expression, where the evaluated expression should equal 0.""" - - @property - def expression_type(self): - return ExprType.Equil - - typ = expression_type - - -class Rate(RxnExpression): - """A decay rate reaction, where the expression is the change in concentration per time for a specific species.""" - - @property - def expression_type(self): - return ExprType.Rate - - typ = expression_type - - -class Formula(RxnExpression): - """A formula for the concentration of a species based solely on the values of the other species.""" - - @property - def expression_type(self): - return ExprType.Formula - - typ = expression_type + def add_variable(self, var: ReactionVariable): + return super().add_variable(var) + + def del_dynamics(self, species, location): + return super().del_dynamics(species, location) + + def del_variable(self, name: str): + return super().del_variable(name) + + def get_dynamics(self, species, location): + species = str(species) + location = RxnLocType.make(location) + if location == RxnLocType.PIPE: + return self._pipe_dynamics.get(species, None) + elif location == RxnLocType.TANK: + return self._tank_dynamics.get(species, None) + + def get_variable(self, name: str) -> ReactionVariable: + return self._variables[name] diff --git a/wntr/reaction/options.py b/wntr/reaction/options.py new file mode 100644 index 000000000..7a5393170 --- /dev/null +++ b/wntr/reaction/options.py @@ -0,0 +1,246 @@ +import re +import logging +import copy + +from wntr.network.options import _float_or_None, _int_or_None, _OptionsBase + +logger = logging.getLogger(__name__) + + +class TimeOptions(_OptionsBase): + """ + Options related to reaction simulation. + + Parameters + ---------- + timestep : int >= 1 + Water quality timestep (seconds), by default 60 (one minute). + + """ + + _pattern1 = re.compile(r"^(\d+):(\d+):(\d+)$") + _pattern2 = re.compile(r"^(\d+):(\d+)$") + _pattern3 = re.compile(r"^(\d+)$") + + def __init__( + self, + timestep: int = 60, + ): + self.timestep = timestep + + def __setattr__(self, name, value): + if name in {"timestep"}: + try: + value = max(1, int(value)) + except ValueError: + raise ValueError("%s must be an integer >= 1" % name) + elif name not in {"timestep"}: + raise AttributeError("%s is not a valid attribute in TimeOptions" % name) + self.__dict__[name] = value + + +class QualityOptions(_OptionsBase): + """ + Options related to water quality modeling. These options come from + the "[OPTIONS]" section of an EPANET-MSX input file. + + Parameters + ---------- + area_units : str, optional + The units of area to use in surface concentration forms, by default ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. + + rate_units : str, optional + The timee units to use in rate reactions, by default ``MIN``. Valid values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. + + solver : str, optional + The solver to use, by default ``RK5``. Options are ``RK5`` (5th order Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or ``EUL`` (Euler method). + + coupling : str, optional + Use coupling method for solution, by default ``NONE``. Valid options are ``FULL`` or ``NONE``. + + rtol : float, optional + Relative concentration tolerance, by default 1.0e-4. + + atol : float, optional + Absolute concentration tolerance, by default 1.0e-4. + + compiler : str, optional + Whether to use a compiler, by default ``NONE``. Valid options are ``VC``, ``GC``, or ``NONE`` + + segments : int, optional + Maximum number of segments per pipe (MSX 2.0 or newer only), by default 5000. + + peclet : int, optional + Peclet threshold for applying dispersion (MSX 2.0 or newer only), by default 1000. + """ + + def __init__( + self, + area_units: str = "M2", + rate_units: str = "MIN", + solver: str = "RK5", + coupling: str = "NONE", + rtol: float = 1.0e-4, + atol: float = 1.0e-4, + compiler: str = "", + segments: int = 5000, + peclet: int = 1000, + ): + self.area_units = area_units + self.rate_units = rate_units + self.solver = solver + self.coupling = coupling + self.rtol = rtol + self.atol = atol + self.compiler = compiler + self.segments = segments + self.peclet = peclet + + def __setattr__(self, name, value): + if name in ["atol", "rtol"]: + try: + value = float(value) + except ValueError: + raise ValueError("%s must be a number", name) + elif name in ["segments", "peclet"]: + try: + value = int(value) + except ValueError: + raise ValueError("%s must be a number", name) + elif name not in ["area_units", "rate_units", "solver", "coupling", "compiler"]: + raise AttributeError("%s is not a valid attribute of QualityOptions" % name) + self.__dict__[name] = value + + +class ReportOptions(_OptionsBase): + """ + Options related to EPANET report outputs. + The values in this options class *do not* affect the behavior of the WNTRSimulator. + These only affect what is written to an EPANET INP file and the results that are + in the EPANET-created report file. + + Parameters + ---------- + report_filename : str + Provides the filename to use for outputting an EPANET report file, + by default this will be the prefix plus ".rpt". + + status : str + Output solver status ("YES", "NO", "FULL"). "FULL" is only useful for debugging + + summary : str + Output summary information ("YES" or "NO") + + energy : str + Output energy information + + nodes : None, "ALL", or list + Output node information in report file. If a list of node names is provided, + EPANET only provides report information for those nodes. + + links : None, "ALL", or list + Output link information in report file. If a list of link names is provided, + EPANET only provides report information for those links. + + pagesize : str + Page size for EPANET report output + + + """ + + def __init__( + self, + pagesize: list = None, + report_filename: str = None, + species: dict = None, + species_precision: dict = None, + nodes: bool = False, + links: bool = False, + ): + self.pagesize = pagesize + self.report_filename = report_filename + self.species = species if species is not None else dict() + self.species_precision = species_precision if species_precision is not None else dict() + self.nodes = nodes + self.links = links + + def __setattr__(self, name, value): + if name not in ["pagesize", "report_filename", "species", "nodes", "links", "species_precision"]: + raise AttributeError("%s is not a valid attribute of ReportOptions" % name) + self.__dict__[name] = value + + +class UserOptions(_OptionsBase): + """ + Options defined by the user. + + Provides an empty class that accepts getattribute and setattribute methods to + create user-defined options. For example, if using WNTR for uncertainty + quantification, certain options could be added here that would never be + used directly by WNTR, but which would be saved on pickling and could be + used by the user-built analysis scripts. + + """ + + def __init__(self, **kwargs): + for k, v in kwargs.items(): + self.__dict__[k] = v + + +class RxnOptions(_OptionsBase): + """ + Water network model options class. + + These options mimic options in EPANET. + The `user` attribute is a generic python class object that allows for + dynamically created attributes that are user specific. + + Parameters + ---------- + title : str + The title to print in the .msx file + + time : TimeOptions + Contains all timing options for the scenarios + + quality : QualityOptions + Contains water quality simulation options and source definitions + + report : ReportOptions + Contains options for how for format and save report + + user : dict + An empty dictionary that allows for user specified options + + + """ + + def __init__(self, title: str = None, time: TimeOptions = None, report: ReportOptions = None, quality: QualityOptions = None, user: UserOptions = None): + self.title = (title,) + self.time = TimeOptions.factory(time) + self.report = ReportOptions.factory(report) + self.quality = QualityOptions.factory(quality) + self.user = UserOptions.factory(user) + + def __setattr__(self, name, value): + if name == "time": + if not isinstance(value, (TimeOptions, dict, tuple, list)): + raise ValueError("time must be a TimeOptions or convertable object") + value = TimeOptions.factory(value) + elif name == "report": + if not isinstance(value, (ReportOptions, dict, tuple, list)): + raise ValueError("report must be a ReportOptions or convertable object") + value = ReportOptions.factory(value) + elif name == "quality": + if not isinstance(value, (QualityOptions, dict, tuple, list)): + raise ValueError("quality must be a QualityOptions or convertable object") + value = QualityOptions.factory(value) + elif name == "user": + value = UserOptions.factory(value) + elif name not in ["title"]: + raise ValueError("%s is not a valid member of WaterNetworkModel") + self.__dict__[name] = value + + def to_dict(self): + """Dictionary representation of the options""" + return dict(self) diff --git a/wntr/reaction/toolkitmsx.py b/wntr/reaction/toolkitmsx.py new file mode 100644 index 000000000..4310f283f --- /dev/null +++ b/wntr/reaction/toolkitmsx.py @@ -0,0 +1,596 @@ +""" +The wntr.reaction.toolkit module is a Python extension for the EPANET MSX +Programmers Toolkit DLLs. +""" +import ctypes +import os +import os.path +import platform +import sys +from ctypes import byref +from ..epanet.toolkit import EpanetException, ENepanet +from ..epanet.util import SizeLimits +from pkg_resources import resource_filename + +epanet_toolkit = "wntr.epanet.toolkit" + +if os.name in ["nt", "dos"]: + libepanet = resource_filename(__name__, "Windows/epanet2.dll") + libmsx = resource_filename(__name__, "Windows/epanetmsx.dll") +elif sys.platform in ["darwin"]: + libepanet = resource_filename(__name__, "Darwin/libepanet.dylib") + libmsx = resource_filename(__name__, "Darwin/libepanetmsx.dylib") +else: + libepanet = resource_filename(__name__, "Linux/libepanet2.so") + libmsx = resource_filename(__name__, "Linux/libepanetmsx.so") + +import logging + +logger = logging.getLogger(__name__) + + +class EpanetMsxToolkitError(Exception): + ERROR_CODES = { + 101: "insufficient memory available.", + 102: "no network data available.", + 103: "hydraulics not initialized.", + 104: "no hydraulics for water quality analysis.", + 105: "water quality not initialized.", + 106: "no results saved to report on.", + 107: "hydraulics supplied from external file.", + 108: "cannot use external file while hydraulics solver is active.", + 109: "cannot change time parameter when solver is active.", + 110: "cannot solve network hydraulic equations.", + 120: "cannot solve water quality transport equations.", + 200: "Cannot read EPANET-MSX file.", + 201: "Syntax error", + 202: "Function call contains an illegal numeric value", + 203: "Function call refers to an undefined node", + 204: "Function call refers to an undefined link", + 205: "Function call refers to an undefined time pattern", + 206: "Function call refers to an undefined curve", + 207: "Function call attempts to control a check valve pipe or a GPV valve", + 208: "Function call contains illegal PDA pressure limits", + 209: "Function call contains an illegal node property value", + 211: "Function call contains an illegal link property value", + 212: "Function call refers to an undefined Trace Node", + 213: "Function call contains an invalid option value", + 214: "Too many characters in a line of an input file", + 215: "Function call contains a duplicate ID label", + 216: "Function call refers to an undefined pump", + 217: "Invalid pump energy data", + 219: "Illegal valve connection to tank node", + 220: "Illegal valve connection to another valve", + 221: "Mis-placed clause in rule-based control", + 222: "Link assigned same start and end nodes", + 223: "Not enough nodes in network", + 224: "No tanks or reservoirs in network", + 225: "Invalid lower/upper levels for tank", + 226: "No head curve or power rating for pump", + 227: "Invalid head curve for pump", + 230: "Nonincreasing x-values for curve", + 233: "Network has unconnected node", + 240: "Function call refers to nonexistent water quality source", + 241: "Function call refers to nonexistent control", + 250: "Function call contains invalid format (e.g. too long an ID name)", + 251: "Function call contains invalid parameter code", + 253: "Function call refers to nonexistent demand category", + 254: "Function call refers to node with no coordinates", + 257: "Function call refers to nonexistent rule", + 258: "Function call refers to nonexistent rule clause", + 259: "Function call attempts to delete a node that still has links connected to it", + 260: "Function call attempts to delete node assigned as a Trace Node", + 261: "Function call attempts to delete a node or link contained in a control", + 262: "Function call attempts to modify network structure while a solver is open", + 301: "Identical file names used for different types of files", + 302: "Cannot open input file", + 303: "Cannot open report file", + 304: "Cannot open output file", + 305: "Cannot open hydraulics file", + 306: "Hydraulics file does not match network data", + 307: "Cannot read hydraulics file", + 308: "Cannot save results to binary file", + 309: "Cannot save results to report file", + 501: "insufficient memory available.", + 502: "no EPANET data file supplied.", + 503: "could not open MSX input file.", + 504: "could not open hydraulic results file.", + 505: "could not read hydraulic results file.", + 506: "could not read MSX input file.", + 507: "too few pipe reaction expressions.", + 508: "too few tank reaction expressions.", + 509: "could not open differential equation solver.", + 510: "could not open algebraic equation solver.", + 511: "could not open binary results file.", + 512: "read/write on binary results file.", + 513: "could not integrate reaction rate expressions.", + 514: "could not solve reaction equilibrium expressions.", + 515: "reference made to an unknown type of object.", + 516: "reference made to an illegal object index.", + 517: "reference made to an undefined object ID.", + 518: "invalid property values were specified.", + 519: "an MSX project was not opened.", + 520: "an MSX project is already opened.", + 521: "could not open MSX report file.", + 522: "could not compile chemistry functions.", + 523: "could not load functions from compiled chemistry file.", + 524: "illegal math operation.", + } + + def __init__(self, code, *args: object) -> None: + msg = self.ERROR_CODES.get(code, "EPANET MSX error: {}".format(code)) + super().__init__(msg, *args) + + +class MSXepanet(ENepanet): + def __init__(self, inpfile="", rptfile="", binfile="", version=2.2): + + self.ENlib = None + self.errcode = 0 + self.errcodelist = [] + self.cur_time = 0 + + self.Warnflag = False + self.Errflag = False + self.fileLoaded = False + + self.inpfile = inpfile + self.rptfile = rptfile + self.binfile = binfile + + if float(version) == 2.0: + libnames = ["epanetmsx"] + if "64" in platform.machine(): + libnames.insert(0, "epanetmsx_amd64") + elif float(version) == 2.2: + libnames = ["epanetmsx", "epanetmsx_win32"] + if "64" in platform.machine(): + libnames.insert(0, "epanetmsx_amd64") + for lib in libnames: + try: + if os.name in ["nt", "dos"]: + libepanet = resource_filename(epanet_toolkit, "Windows/%s.dll" % lib) + self.ENlib = ctypes.windll.LoadLibrary(libepanet) + elif sys.platform in ["darwin"]: + libepanet = resource_filename(epanet_toolkit, "Darwin/lib%s.dylib" % lib) + self.ENlib = ctypes.cdll.LoadLibrary(libepanet) + else: + libepanet = resource_filename(epanet_toolkit, "Linux/lib%s.so" % lib) + self.ENlib = ctypes.cdll.LoadLibrary(libepanet) + return + except Exception as E1: + if lib == libnames[-1]: + raise E1 + pass + finally: + self._project = None + + return + + # ----------running the simulation----------------------------------------------------- + def MSXopen(self, nomeinp): + """Opens the MSX Toolkit to analyze a particular distribution system + Arguments: + nomeinp: name of the msx input file + """ + ierr = self.ENlib.MSXopen(ctypes.c_char_p(nomeinp.encode())) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXclose( + self, + ): + """Closes down the Toolkit system (including all files being processed)""" + ierr = self.ENlib.MSXclose() + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXusehydfile(self, fname): + """Uses the contents of the specified file as the current binary hydraulics file""" + ierr = self.ENlib.MSXusehydfile(ctypes.c_char_p(fname.encode())) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXsolveH( + self, + ): + """Runs a complete hydraulic simulation with results + for all time periods written to the binary Hydraulics file.""" + ierr = self.ENlib.MSXsolveH() + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXinit(self, saveFlag=0): + """Initializes the MSX system before solving for water quality results in step-wise fashion + set saveFlag to 1 if water quality results should be saved to a scratch binary file, or to 0 is not saved to file""" + ierr = self.ENlib.MSXinit(saveFlag) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXsolveQ( + self, + ): + """solves for water quality over the entire simulation period and saves the results to an internal scratch file""" + ierr = self.ENlib.MSXsolveQ() + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXstep( + self, + ): + """Advances the water quality simulation one water quality time step. + The time remaining in the overall simulation is returned as tleft, the current time as t.""" + t = ctypes.c_long() + tleft = ctypes.c_long() + ierr = self.ENlib.MSXstep(ctypes.byref(t), ctypes.byref(tleft)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + out = [t.value, tleft.value] + return out + + def MSXsaveoutfile(self, fname): + """saves water quality results computed for each node, link and reporting time period to a named binary file""" + ierr = self.ENlib.MSXsaveoutfile(ctypes.c_char_p(fname.encode())) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXsavemsxfile(self, fname): + """saves the data associated with the current MSX project into a new MSX input file""" + ierr = self.ENlib.MSXsavemsxfile(ctypes.c_char_p(fname.encode())) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXreport( + self, + ): + """Writes water quality simulations results as instructed by the MSX input file to a text file""" + ierr = self.ENlib.MSXreport() + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + # ---------get parameters--------------------------------------------------------------- + def MSXgetindex(self, type, name): + """Retrieves the internal index of an MSX object given its name. + Arguments: + type (int) + MSX_SPECIES - 3 (for a chemical species) + MSX_CONSTANT - 6 (for a reaction constant + MSX_PARAMETER - 5 (for a reaction parameter) + MSX_PATTERN - 7 (for a time pattern)""" + type_ind = 100 # in case the type input is in text + if type == "MSX_SPECIES" or type == 3: + type_ind = 3 + if type == "MSX_CONSTANT" or type == 6: + type_ind = 6 + if type == "MSX_PARAMETER" or type == 5: + type_ind = 5 + if type == "MSX_PATTERN" or type == 7: + type_ind = 7 + if type_ind == 100: + raise Exception("unrecognized type") + ind = ctypes.c_int() + ierr = self.ENlib.MSXgetindex(type_ind, ctypes.c_char_p(name.encode()), ctypes.byref(ind)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + return ind.value + + def MSXgetIDlen(self, type, index): + """Retrieves the number of characters in the ID name of an MSX object given its internal index number. + Arguments: + type - int: + MSX_SPECIES - 3 (for a chemical species) + MSX_CONSTANT - 6 (for a reaction constant + MSX_PARAMETER - 5 (for a reaction parameter) + MSX_PATTERN - 7 (for a time pattern)""" + type_ind = 100 # in case the type input is in text + if type == "MSX_SPECIES" or type == 3: + type_ind = 3 + if type == "MSX_CONSTANT" or type == 6: + type_ind = 6 + if type == "MSX_PARAMETER" or type == 5: + type_ind = 5 + if type == "MSX_PATTERN" or type == 7: + type_ind = 7 + if type_ind == 100: + raise Exception("unrecognized type") + len = ctypes.c_int() + ierr = self.ENlib.MSXgetIDlen(type_ind, ctypes.c_int(index), ctypes.byref(len)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + return len.value + + def MSXgetID(self, type, index): + """Retrieves the ID name of an object given its internal index number + Arguments: + type: + MSX_SPECIES - 3 (for a chemical species) + MSX_CONSTANT - 6 (for a reaction constant + MSX_PARAMETER - 5 (for a reaction parameter) + MSX_PATTERN - 7 (for a time pattern) + maxlen: maxi number of characters that id can hold not counting null termination character""" + type_ind = 100 # in case the type input is in text + if type == "MSX_SPECIES" or type == 3: + type_ind = 3 + if type == "MSX_CONSTANT" or type == 6: + type_ind = 6 + if type == "MSX_PARAMETER" or type == 5: + type_ind = 5 + if type == "MSX_PATTERN" or type == 7: + type_ind = 7 + if type_ind == 100: + raise Exception("unrecognized type") + maxlen = 32 + id = ctypes.create_string_buffer(maxlen) + ierr = self.ENlib.MSXgetID(type_ind, ctypes.c_int(index), ctypes.byref(id), ctypes.c_int(maxlen - 1)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + # the .decode() added my MF 6/3/21 + return id.value.decode() + + def MSXgetinitqual(self, type, ind, spe): + """Retrieves the initial concentration of a particular chemical species assigned to a specific node + or link of the pipe network. + Arguments: + type is type of object: MSX_NODE (0), MSX_LINK (1) + ind is the internal sequence number (starting from 1) assigned to the node or link + speicies is the sequence number of teh species (starting from 1)""" + type_ind = 100 + if type == "MSX_NODE" or type == 0: + type_ind = 0 + if type == "MSX_LINK" or type == 1: + type_ind = 1 + if type_ind == 100: + raise Exception("unrecognized type") + iniqual = ctypes.c_double() + ierr = self.ENlib.MSXgetinitqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.byref(iniqual)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + return iniqual.value + + def MSXgetqual(self, type, ind, spe): + """Retrieves a chemical species concentration at a given node or the average concentration along a link at the current simulation time step + Arguments: + type is type of object: MSX_NODE (0), MSX_LINK (1) + ind is the internal sequence number (starting from 1) assigned to the node or link + speicies is the sequence number of teh species (starting from 1) + concentrations expressed as: mass units per liter for bulk species and mass per unit area for surface species""" + type_ind = 100 + if type == "MSX_NODE" or type == 0: + type_ind = 0 + if type == "MSX_LINK" or type == 1: + type_ind = 1 + if type_ind == 100: + raise Exception("unrecognized type") + qual = ctypes.c_double() + ierr = self.ENlib.MSXgetqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.byref(qual)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + return qual.value + + def MSXgetconstant(self, ind): + """Retrieves the value of a particular reaction constant + Arguments: + ind is the sequence number of the reaction constant (starting from 1) as it appeared in the MSX input file""" + const = ctypes.c_double() + ierr = self.ENlib.MSXgetconstant(ind, ctypes.byref(const)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + return const.value + + def MSXgetparameter(self, type, ind, param_ind): + """Retrieves the value of a particular reaction parameter for a give TANK or PIPE + Arguments: + type is the type of object: MSX_NODE (0) or MSX_LINK (1) + ind is the internal sequence number(starting from 1) assigned to the node or link + param is the sequence number of the parameter (starting from 1 as listed in the MSX input file)""" + type_ind = 100 # in case type input is in text + if type == "MSX_NODE" or type == 0: + type_ind = 0 + if type == "MSX_LINK" or type == 1: + type_ind = 1 + if type_ind == 100: + raise Exception("unrecognized type") + param = ctypes.c_double() + ierr = self.ENlib.MSXgetparameter(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(param_ind), ctypes.byref(param)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + return param.value + + def MSXgetsource(self, node, spe): + """Retrieves information on any external source of a particular chemical species assigned to a specific node of the pipe network + Arguments: + node is the internal sequence number (starting from 1) assigned to the node of interest + species is the sequence number of the species of interest (starting from 1 as listed in the MSX input file) + type is returned with the type of external source and will be one of the following pre-defined constants + MSX_NOSOURCE (-1) no source; MSX_CONCEN (0) a concentration source; MSX_MASS (1) mass booster source; + MSX_SETPOINT (2) setpoint source; MSX_FLOWPACED (3) flow paced source + level is returned with the baseline concentration (or mass flow rate) of the source + pat is returned with the index of the time pattern used to add variability to the source's baseline level (0 if no pattern defined for the source)""" + level = ctypes.c_double() + type = ctypes.c_int() + pat = ctypes.c_int() + ierr = self.ENlib.MSXgetsource(ctypes.c_int(node), ctypes.c_int(spe), ctypes.byref(type), ctypes.byref(level), ctypes.byref(pat)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + src_out = [type.value, level.value, pat.value] + return src_out + + def MSXgetpatternlen(self, pat): + """Retrieves the number of time periods within a SOURCE time pattern + Arguments: + pat is the internal sequence number (starting from 1) of the pattern as appears in the MSX input file""" + len = ctypes.c_int() + ierr = self.ENlib.MSXgetpatternlen(pat, ctypes.byref(len)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + return len.value + + def MSXgetpatternvalue(self, pat, period): + """Retrieves the multiplier at a specific time period for a given SOURCE time pattern + Arguments: + pat is the internal sequence number (starting from 1) of the pattern as appears in the MSX input file + period is the index of the time period (starting from 1) whose multiplier is being sought + value is the vlaue of teh pattern's multiplier in teh desired period""" + val = ctypes.c_double() + ierr = self.ENlib.MSXgetpatternvalue(pat, period, ctypes.byref(val)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + return val.value + + def MSXgetcount(self, type): + """Retrieves the number of objects of a specified type. + Arguments: + MSX_SPECIES - 3 (for a chemical species) + MSX_CONSTANT - 6 (for a reaction constant + MSX_PARAMETER - 5 (for a reaction parameter) + MSX_PATTERN - 7 (for a time pattern) + maxlen: maxi number of characters that id can hold not counting null termination character""" + type_ind = 100 # in case the type input is in text + if type == "MSX_SPECIES" or type == 3: + type_ind = 3 + if type == "MSX_CONSTANT" or type == 6: + type_ind = 6 + if type == "MSX_PARAMETER" or type == 5: + type_ind = 5 + if type == "MSX_PATTERN" or type == 7: + type_ind = 7 + if type_ind == 100: + raise Exception("unrecognized type") + count = ctypes.c_int() + ierr = self.ENlib.MSXgetcount(type_ind, ctypes.byref(count)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + return count.value + + def MSXgetspecies(self, spe): + """Retrieves the attributes of a chemical species given its internal index number. + species is the sequence number of the species (starting from 1 as listed in teh MSX input file_ + type: MSX_BULK (defined as 0) and MSX_WALL (defined as 1) + units: C_style character string array that is returned with the mass units that were defined for the species in question(hold max 15 characters) + aTol returned with absolute concentration tolerance defined for the species + rTol returned with the relative concentration tolerance defined for the species""" + type_ind = ctypes.c_int() + units = ctypes.create_string_buffer(15) + aTol = ctypes.c_double() + rTol = ctypes.c_double() + ierr = self.ENlib.MSXgetspecies(spe, ctypes.byref(type_ind), ctypes.byref(units), ctypes.byref(aTol), ctypes.byref(rTol)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + spe_out = [type_ind.value, units.value, aTol.value, rTol.value] + return spe_out + + def MSXgeterror(self, errcode, len=100): + """returns the text for an error message given its error code + arguments: + code is the code number of an error condition generated by EPANET-MSX + msg is a C-style string containing text of error message corresponding to error code + len is the max number of charaters that msg can contain (at least 80)""" + errmsg = ctypes.create_string_buffer(len) + self.ENlib.MSXgeterror(errcode, ctypes.byref(errmsg), len) + return errmsg.value.decode() + + # --------------set parameters----------------------------------- + + def MSXsetconstant(self, ind, value): + """assigns a new value to a specific reaction constant + Arguments: + ind is the sequence number of the reaction constant (starting from 1) as it appreaed in the MSX input file + value is the new value to be assigned to the constant""" + ierr = self.ENlib.MSXsetconstant(ctypes.c_int(ind), ctypes.c_double(value)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXsetparameter(self, type, ind, param, value): + """assigns a value to a particular reaction parameter for a given TANK or PIPE + Arguments: + type is the type of object: MSX_NODE (0) or MSX_LINK (1) + ind is the internal sequence number(starting from 1) assigned to the node or link + param is the sequence number of the parameter (starting from 1 as listed in the MSX input file""" + type_ind = 100 + if type == "MSX_NODE" or type == 0: + type_ind = 0 + if type == "MSX_LINK" or type == 1: + type_ind = 1 + if type_ind == 100: + raise Exception("unrecognized type") + ierr = self.ENlib.MSXsetparameter(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(param), ctypes.c_double(value)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXsetinitqual(self, type, ind, spe, value): + """Retrieves the initial concentration of a particular chemical species assigned to a specific node + or link of the pipe network. + Arguments: + type is type of object: MSX_NODE (0), MSX_LINK (1) + ind is the internal sequence number (starting from 1) assigned to the node or link + speicies is the sequence number of teh species (starting from 1)""" + type_ind = 100 + if type == "MSX_NODE" or type == 0: + type_ind = 0 + if type == "MSX_LINK" or type == 1: + type_ind = 1 + if type_ind == 100: + raise Exception("unrecognized type") + ierr = self.ENlib.MSXsetinitqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.c_double(value)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXsetsource(self, node, spe, type_n, level, pat): + """sets the attributes of an external source of a particular chemical species in a specific node of the pipe network + Arguments: + node is the internal sequence number (starting from 1) assigned to the node of interest + species is the sequence number of the species of interest (starting from 1 as listed in the MSX input file) + type is returned with the type of exteernal source and will be one of the following pre-defined constants + MSX_NOSOURCE (-1) no source; MSX_CONCEN (0) a concentration source; MSX_MASS (1) mass booster source; + MSX_SETPOINT (2) setpoint source; MSX_FLOWPACED (3) flow paced source + level is the baseline concentration (or mass flow rate) of the source + pat is the index of the time pattern used to add variability to the source's baseline level (0 if no pattern defined for the source)""" + type_ind = 100 + if type_n == "MSX_NOSOURCE" or type_n == -1: + type_ind = -1 + if type_n == "MSX_CONCEN" or type_n == 0: + type_ind = 0 + if type_n == "MSX_MASS" or type_n == 1: + type_ind = 1 + if type_n == "MSX_SETPOINT" or type_n == 2: + type_ind = 2 + if type_n == "MSX_FLOWPACED" or type_n == 3: + type_ind = 3 + if type_ind == 100: + raise Exception("unrecognized type") + ierr = self.ENlib.MSXsetsource(ctypes.c_int(node), ctypes.c_int(spe), ctypes.c_int(type_ind), ctypes.c_double(level), ctypes.c_int(pat)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXsetpattern(self, pat, mult): + """assigns a new set of multipliers to a given MSX SOURCE time pattern + Arguments: + pat is the internal sequence number (starting from 1) of the pattern as appears in the MSX input file + mult is an array of multiplier values to replace those preciously used by the pattern + len is the number of entries in mult""" + length = len(mult) + cfactors_type = ctypes.c_double * length + cfactors = cfactors_type() + for i in range(length): + cfactors[i] = float(mult[i]) + ierr = self.ENlib.MSXsetpattern(ctypes.c_int(pat), cfactors, ctypes.c_int(length)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXsetpatternvalue(self, pat, period, value): + """Sets the multiplier factor for a specific period within a SOURCE time pattern. + Arguments: + index: time pattern index + period: period within time pattern + value: multiplier factor for the period""" + ierr = self.ENlib.MSXsetpatternvalue(ctypes.c_int(pat), ctypes.c_int(period), ctypes.c_double(value)) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) + + def MSXaddpattern(self, patternid): + """Adds a new, empty MSX source time pattern to an MSX project. + Arguments: + pattern id: c-string name of pattern""" + ierr = self.ENlib.MSXaddpattern(ctypes.c_char_p(patternid.encode())) + if ierr != 0: + raise EpanetMsxToolkitError(ierr) diff --git a/wntr/tests/test_reactions.py b/wntr/tests/test_reactions.py index 12c5df470..6fc835448 100644 --- a/wntr/tests/test_reactions.py +++ b/wntr/tests/test_reactions.py @@ -13,6 +13,7 @@ test_data_dir = join(testdir, "data_for_testing") ex_datadir = join(testdir, "..", "..", "examples", "networks") + class Test(unittest.TestCase): @classmethod def setUpClass(self): @@ -23,72 +24,70 @@ def tearDownClass(self): pass def test_RxnVariable_reserved_name_exception(self): - self.assertRaises(ValueError, wntr.reaction.model.RxnVariable, 'I') - self.assertRaises(ValueError, wntr.reaction.model.RxnSpecies, 'Ff', 'mg') - self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, 'D', 'mg') - self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, 'Q', 'mg') - self.assertRaises(ValueError, wntr.reaction.model.RxnCoefficient, 'Re', 0.52) + self.assertRaises(ValueError, wntr.reaction.model.RxnVariable, "I") + self.assertRaises(ValueError, wntr.reaction.model.RxnSpecies, "Ff", "mg") + self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "D", "mg") + self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Q", "mg") + self.assertRaises(ValueError, wntr.reaction.model.RxnCoefficient, "Re", 0.52) def test_RxnVariable_direct_instantiation_exceptions(self): - self.assertRaises(NotImplementedError, wntr.reaction.model.RxnVariable, 'Test') - self.assertRaises(NotImplementedError, wntr.reaction.model.RxnSpecies, 'Test', 'mg/L') - self.assertRaises(NotImplementedError, wntr.reaction.model.RxnCoefficient, 'Test', 0.524) + self.assertRaises(NotImplementedError, wntr.reaction.model.RxnVariable, "Test") + self.assertRaises(NotImplementedError, wntr.reaction.model.RxnSpecies, "Test", "mg/L") + self.assertRaises(NotImplementedError, wntr.reaction.model.RxnCoefficient, "Test", 0.524) def test_RxnVariable_symbols_and_sympy(self): - species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') - symbol1 = sympy.symbols('Cl') - self.assertEqual(species1.get_symbol(), symbol1) - - const1 = wntr.reaction.model.Constant('Kb', 0.482) - symbol2 = sympy.symbols('Kb') - self.assertEqual(const1.get_symbol(), symbol2) + species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") + symbol1 = sympy.symbols("Cl") + self.assertEqual(species1.symbol, symbol1) - param1 = wntr.reaction.model.Constant('Ka', 0.482) - symbol3 = sympy.symbols('Ka') - self.assertEqual(param1.get_symbol(), symbol3) + const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) + symbol2 = sympy.symbols("Kb") + self.assertEqual(const1.symbol, symbol2) - term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') - symbol4 = sympy.symbols('T0') - self.assertEqual(term1.get_symbol(), symbol4) + param1 = wntr.reaction.model.ConstantCoeff("Ka", 0.482) + symbol3 = sympy.symbols("Ka") + self.assertEqual(param1.symbol, symbol3) + term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + symbol4 = sympy.symbols("T0") + self.assertEqual(term1.symbol, symbol4) def test_RxnVariable_values(self): - species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') + species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") self.assertEqual(species1.get_value(), species1.value) - self.assertRaises(TypeError, species1.get_value, pipe='blah') - const1 = wntr.reaction.model.Constant('Kb', 0.482, note='test') + self.assertRaises(TypeError, species1.get_value, pipe="blah") + const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482, note="test") self.assertEqual(const1.get_value(), const1.value) - test_pipe_dict = {'PIPE': 0.38} - test_tank_dict = {'TANK': 222.23} - param2 = wntr.reaction.model.Parameter('Kb', 0.482, note='test', pipe_values=test_pipe_dict, tank_values=test_tank_dict) + test_pipe_dict = {"PIPE": 0.38} + test_tank_dict = {"TANK": 222.23} + param2 = wntr.reaction.model.ParameterizedCoeff("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) self.assertEqual(param2.get_value(), param2.global_value) - self.assertEqual(param2.get_value(pipe='PIPE'), test_pipe_dict['PIPE']) - self.assertEqual(param2.get_value(pipe='FOO'), param2.global_value) - self.assertEqual(param2.get_value(tank='TANK'), test_tank_dict['TANK']) - self.assertRaises(ValueError, param2.get_value, pipe='PIPE', tank='TANK') - + self.assertEqual(param2.get_value(pipe="PIPE"), test_pipe_dict["PIPE"]) + self.assertEqual(param2.get_value(pipe="FOO"), param2.global_value) + self.assertEqual(param2.get_value(tank="TANK"), test_tank_dict["TANK"]) + self.assertRaises(ValueError, param2.get_value, pipe="PIPE", tank="TANK") def test_RxnVariable_string_functions(self): - species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') - species2 = wntr.reaction.model.WallSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') - const1 = wntr.reaction.model.Constant('Kb', 0.482) - param1 = wntr.reaction.model.Parameter('Ka', 0.482, note='foo') - term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') - - self.assertEqual(str(species1), 'Cl') - self.assertEqual(species1.to_msx_string(), 'BULK Cl mg ;') - self.assertEqual(species2.to_msx_string(), 'WALL Cl mg 0.01 0.0001 ;Testing stuff') - self.assertEqual(str(const1), 'Kb') - self.assertEqual(str(param1), 'Ka') - self.assertEqual(const1.to_msx_string(), 'CONSTANT Kb 0.482 ;') - self.assertEqual(param1.to_msx_string(), 'PARAMETER Ka 0.482 ;foo') - self.assertEqual(str(term1), 'T0') - self.assertEqual(term1.to_msx_string(), 'T0 -3.2 * Kb * Cl^2 ;bar') + species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") + species2 = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) + param1 = wntr.reaction.model.ParameterizedCoeff("Ka", 0.482, note="foo") + term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + + self.assertEqual(str(species1), "Cl") + self.assertEqual(species1.to_msx_string(), "BULK Cl mg ;") + self.assertEqual(species2.to_msx_string(), "WALL Cl mg 0.01 0.0001 ;Testing stuff") + self.assertEqual(str(const1), "Kb") + self.assertEqual(str(param1), "Ka") + self.assertEqual(const1.to_msx_string(), "CONSTANT Kb 0.482 ;") + self.assertEqual(param1.to_msx_string(), "PARAMETER Ka 0.482 ;foo") + self.assertEqual(str(term1), "T0") + self.assertEqual(term1.to_msx_string(), "T0 -3.2 * Kb * Cl^2 ;bar") def test_RxnSpecies_tolerances(self): - #"""RxnSpecies(*s) tolerance settings""" - species1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') - species2 = wntr.reaction.model.WallSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') + # """RxnSpecies(*s) tolerance settings""" + species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") + species2 = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") self.assertIsNone(species1.get_tolerances()) self.assertIsNotNone(species2.get_tolerances()) self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) @@ -107,139 +106,139 @@ def test_RxnSpecies_tolerances(self): self.assertIsNone(species2.get_tolerances()) def test_BulkSpecies_creation(self): - #"""BlukSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, 'I') - self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, 'I', 'mg') - self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, 'Cl', 'mg', 0.01) - self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, 'Cl', 'mg', None, 0.01) - species = wntr.reaction.model.BulkSpecies('Cl', 'mg') - self.assertEqual(species.name, 'Cl') - self.assertEqual(species.value, 'mg') + # """BlukSpecies object creation (direct instantiation)""" + self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, "I") + self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "I", "mg") + self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "Cl", "mg", 0.01) + self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "Cl", "mg", None, 0.01) + species = wntr.reaction.model.BulkSpecies("Cl", "mg") + self.assertEqual(species.name, "Cl") + self.assertEqual(species.value, "mg") self.assertEqual(species.value, species.unit) - self.assertEqual(species.species_type, wntr.reaction.model.VarType.Bulk) + self.assertEqual(species.species_type, wntr.reaction.model.RxnVarType.Bulk) self.assertIsNone(species.Atol) self.assertIsNone(species.Rtol) self.assertIsNone(species.note) - species = wntr.reaction.model.BulkSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') - self.assertEqual(species.variable_type, wntr.reaction.model.VarType.Bulk) - self.assertEqual(species.name, 'Cl') - self.assertEqual(species.value, 'mg') + species = wntr.reaction.model.BulkSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.variable_type, wntr.reaction.model.RxnVarType.Bulk) + self.assertEqual(species.name, "Cl") + self.assertEqual(species.value, "mg") self.assertEqual(species.Atol, 0.01) self.assertEqual(species.Rtol, 0.0001) - self.assertEqual(species.note, 'Testing stuff') + self.assertEqual(species.note, "Testing stuff") def test_WallSpecies_creation(self): - #"""WallSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, 'I') - self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, 'I', 'mg') - self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, 'Cl', 'mg', 0.01) - self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, 'Cl', 'mg', None, 0.01) - species = wntr.reaction.model.WallSpecies('Cl', 'mg') - self.assertEqual(species.name, 'Cl') - self.assertEqual(species.value, 'mg') + # """WallSpecies object creation (direct instantiation)""" + self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, "I") + self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "I", "mg") + self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Cl", "mg", 0.01) + self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Cl", "mg", None, 0.01) + species = wntr.reaction.model.WallSpecies("Cl", "mg") + self.assertEqual(species.name, "Cl") + self.assertEqual(species.value, "mg") self.assertEqual(species.value, species.unit) - self.assertEqual(species.species_type, wntr.reaction.model.VarType.Wall) + self.assertEqual(species.species_type, wntr.reaction.model.RxnVarType.Wall) self.assertIsNone(species.Atol) self.assertIsNone(species.Rtol) self.assertIsNone(species.note) - species = wntr.reaction.model.WallSpecies('Cl', 'mg', 0.01, 0.0001, note='Testing stuff') - self.assertEqual(species.variable_type, wntr.reaction.model.VarType.Wall) - self.assertEqual(species.name, 'Cl') - self.assertEqual(species.value, 'mg') + species = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.variable_type, wntr.reaction.model.RxnVarType.Wall) + self.assertEqual(species.name, "Cl") + self.assertEqual(species.value, "mg") self.assertEqual(species.Atol, 0.01) self.assertEqual(species.Rtol, 0.0001) - self.assertEqual(species.note, 'Testing stuff') + self.assertEqual(species.note, "Testing stuff") def test_Constant_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.Constant, 'Re') - self.assertRaises(ValueError, wntr.reaction.model.Constant, 'Re', 2.48) - const1 = wntr.reaction.model.Constant('Kb', 0.482, note='test') + self.assertRaises(TypeError, wntr.reaction.model.ConstantCoeff, "Re") + self.assertRaises(ValueError, wntr.reaction.model.ConstantCoeff, "Re", 2.48) + const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482, note="test") # FIXME: Find a way to suppress warning printing # self.assertWarns(RuntimeWarning, wntr.reaction.model.Constant, 'Kb1', 0.83, pipe_values={'a',1}) - self.assertEqual(const1.name, 'Kb') + self.assertEqual(const1.name, "Kb") self.assertEqual(const1.global_value, 0.482) self.assertEqual(const1.value, const1.global_value) - self.assertEqual(const1.coeff_type, wntr.reaction.model.VarType.Constant) - self.assertEqual(const1.note, 'test') + self.assertEqual(const1.coeff_type, wntr.reaction.model.RxnVarType.Constant) + self.assertEqual(const1.note, "test") def test_Parameter_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.Parameter, 'Re') - self.assertRaises(ValueError, wntr.reaction.model.Parameter, 'Re', 2.48) - param1 = wntr.reaction.model.Parameter('Kb', 0.482, note='test') - self.assertEqual(param1.name, 'Kb') + self.assertRaises(TypeError, wntr.reaction.model.ParameterizedCoeff, "Re") + self.assertRaises(ValueError, wntr.reaction.model.ParameterizedCoeff, "Re", 2.48) + param1 = wntr.reaction.model.ParameterizedCoeff("Kb", 0.482, note="test") + self.assertEqual(param1.name, "Kb") self.assertEqual(param1.global_value, 0.482) self.assertEqual(param1.value, param1.global_value) - self.assertEqual(param1.coeff_type, wntr.reaction.model.VarType.Parameter) - self.assertEqual(param1.note, 'test') - test_pipe_dict = {'PIPE': 0.38} - test_tank_dict = {'TANK': 222.23} - param2 = wntr.reaction.model.Parameter('Kb', 0.482, note='test', pipe_values=test_pipe_dict, tank_values=test_tank_dict) + self.assertEqual(param1.coeff_type, wntr.reaction.model.RxnVarType.Parameter) + self.assertEqual(param1.note, "test") + test_pipe_dict = {"PIPE": 0.38} + test_tank_dict = {"TANK": 222.23} + param2 = wntr.reaction.model.ParameterizedCoeff("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) self.assertDictEqual(param2.pipe_values, test_pipe_dict) self.assertDictEqual(param2.tank_values, test_tank_dict) def test_RxnTerm_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.RxnTerm, 'Re') - self.assertRaises(ValueError, wntr.reaction.model.RxnTerm, 'Re', '1.0*Re') - term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') - self.assertEqual(term1.name, 'T0') - self.assertEqual(term1.expression, '-3.2 * Kb * Cl^2') - self.assertEqual(term1.variable_type, wntr.reaction.model.VarType.Term) - self.assertEqual(term1.note, 'bar') + self.assertRaises(TypeError, wntr.reaction.model.FunctionalTerm, "Re") + self.assertRaises(ValueError, wntr.reaction.model.FunctionalTerm, "Re", "1.0*Re") + term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + self.assertEqual(term1.name, "T0") + self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") + self.assertEqual(term1.variable_type, wntr.reaction.model.RxnVarType.Term) + self.assertEqual(term1.note, "bar") self.assertEqual(term1.value, term1.expression) def test_RxnExpression_direct_instantiation_exceptions(self): - self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, 'Cl', wntr.reaction.model.RxnLocation.Pipes) - self.assertRaises(NotImplementedError, wntr.reaction.model.RxnExpression, 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') - self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, 'Cl') - self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, 'Cl', 39) - self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, 'Cl', 39, '-Ka + Kb * Cl + T0') - + self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, "Cl", wntr.reaction.model.RxnLocType.Pipes) + self.assertRaises(NotImplementedError, wntr.reaction.model.RxnExpression, "Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, "Cl") + self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, "Cl", 39) + self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, "Cl", 39, "-Ka + Kb * Cl + T0") + def test_RxnExpression_strings(self): - equil1 = wntr.reaction.model.Equilibrium( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') - rate1 = wntr.reaction.model.Rate( 'Cl', wntr.reaction.model.RxnLocation.Tanks, '-Ka + Kb * Cl + T0', note='Foo Bar') - formula1 = wntr.reaction.model.Formula( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') - self.assertEqual(equil1.to_msx_string(), 'EQUIL Cl -Ka + Kb * Cl + T0 ;') - self.assertEqual(rate1.to_msx_string(), 'RATE Cl -Ka + Kb * Cl + T0 ;Foo Bar') - self.assertEqual(formula1.to_msx_string(), 'FORMULA Cl -Ka + Kb * Cl + T0 ;') + equil1 = wntr.reaction.model.EquilibriumExpression("Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + rate1 = wntr.reaction.model.RateExpression("Cl", wntr.reaction.model.RxnLocType.Tanks, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.reaction.model.FormulaExpression("Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + self.assertEqual(equil1.to_msx_string(), "EQUIL Cl -Ka + Kb * Cl + T0 ;") + self.assertEqual(rate1.to_msx_string(), "RATE Cl -Ka + Kb * Cl + T0 ;Foo Bar") + self.assertEqual(formula1.to_msx_string(), "FORMULA Cl -Ka + Kb * Cl + T0 ;") def test_Equilibrium_creation(self): - equil1 = wntr.reaction.model.Equilibrium( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') - self.assertEqual(equil1.species, 'Cl') - self.assertEqual(equil1.expression, '-Ka + Kb * Cl + T0') - self.assertEqual(equil1.expression_type, wntr.reaction.model.ExprType.Equil) + equil1 = wntr.reaction.model.EquilibriumExpression("Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + self.assertEqual(equil1.species, "Cl") + self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") + self.assertEqual(equil1.expression_type, wntr.reaction.model.RxnExprType.Equil) def test_Rate_creation(self): - rate1 = wntr.reaction.model.Rate( 'Cl', wntr.reaction.model.RxnLocation.Tanks, '-Ka + Kb * Cl + T0', note='Foo Bar') - self.assertEqual(rate1.species, 'Cl') - self.assertEqual(rate1.expression, '-Ka + Kb * Cl + T0') - self.assertEqual(rate1.expression_type, wntr.reaction.model.ExprType.Rate) - self.assertEqual(rate1.note, 'Foo Bar') + rate1 = wntr.reaction.model.RateExpression("Cl", wntr.reaction.model.RxnLocType.Tanks, "-Ka + Kb * Cl + T0", note="Foo Bar") + self.assertEqual(rate1.species, "Cl") + self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") + self.assertEqual(rate1.expression_type, wntr.reaction.model.RxnExprType.Rate) + self.assertEqual(rate1.note, "Foo Bar") def test_Formula_creation(self): - formula1 = wntr.reaction.model.Formula( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') - self.assertEqual(formula1.species, 'Cl') - self.assertEqual(formula1.expression, '-Ka + Kb * Cl + T0') - self.assertEqual(formula1.expression_type, wntr.reaction.model.ExprType.Formula) - + formula1 = wntr.reaction.model.FormulaExpression("Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + self.assertEqual(formula1.species, "Cl") + self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") + self.assertEqual(formula1.expression_type, wntr.reaction.model.RxnExprType.Formula) + def test_WaterQualityReactionsModel_creation_specific_everything(self): rxn_model1 = wntr.reaction.model.WaterQualityReactionsModel() - bulk1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') - wall1 = wntr.reaction.model.WallSpecies('ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') - const1 = wntr.reaction.model.Constant('Kb', 0.482) - param1 = wntr.reaction.model.Parameter('Ka', 0.482, note='foo') - term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') - equil1 = wntr.reaction.model.Equilibrium( 'Cl', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') - rate1 = wntr.reaction.model.Rate( 'Cl', wntr.reaction.model.RxnLocation.Tanks, '-Ka + Kb * Cl + T0', note='Foo Bar') - formula1 = wntr.reaction.model.Formula( 'ClOH', wntr.reaction.model.RxnLocation.Pipes, '-Ka + Kb * Cl + T0') - - bulk2 = rxn_model1.add_bulk_species('Cl', 'mg') - wall2 = rxn_model1.add_wall_species('ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') - const2 = rxn_model1.add_constant('Kb', 0.482) - param2 = rxn_model1.add_parameter('Ka', 0.482, note='foo') - term2 = rxn_model1.add_term('T0', '-3.2 * Kb * Cl^2', note='bar') - equil2 = rxn_model1.add_pipe_reaction('equil', 'Cl', '-Ka + Kb * Cl + T0') - rate2 = rxn_model1.add_tank_reaction(wntr.reaction.model.ExprType.Rate, 'Cl', '-Ka + Kb * Cl + T0', note='Foo Bar') - formula2 = rxn_model1.add_reaction('pipes', 'formula', 'ClOH', '-Ka + Kb * Cl + T0') + bulk1 = wntr.reaction.model.BulkSpecies("Cl", "mg") + wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) + param1 = wntr.reaction.model.ParameterizedCoeff("Ka", 0.482, note="foo") + term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + equil1 = wntr.reaction.model.EquilibriumExpression(bulk1, wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + rate1 = wntr.reaction.model.RateExpression(bulk1, wntr.reaction.model.RxnLocType.Tanks, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.reaction.model.FormulaExpression(wall1, wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + + bulk2 = rxn_model1.add_bulk_species("Cl", "mg") + wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const2 = rxn_model1.add_constant("Kb", 0.482) + param2 = rxn_model1.add_parameter("Ka", 0.482, note="foo") + term2 = rxn_model1.add_term("T0", "-3.2 * Kb * Cl^2", note="bar") + equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") + rate2 = rxn_model1.add_tank_reaction("Cl", wntr.reaction.model.RxnExprType.Rate, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula2 = rxn_model1.add_reaction("pipes", "ClOH", "formula", "-Ka + Kb * Cl + T0") self.assertEqual(bulk1, bulk2) self.assertEqual(wall1, wall2) self.assertEqual(const1, const2) @@ -250,22 +249,22 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): self.assertEqual(formula1, formula2) def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): - bulk1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') - wall1 = wntr.reaction.model.WallSpecies('ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') - const1 = wntr.reaction.model.Constant('Kb', 0.482) - param1 = wntr.reaction.model.Parameter('Ka', 0.482, note='foo') - term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') + bulk1 = wntr.reaction.model.BulkSpecies("Cl", "mg") + wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) + param1 = wntr.reaction.model.ParameterizedCoeff("Ka", 0.482, note="foo") + term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") rxn_model2 = wntr.reaction.model.WaterQualityReactionsModel() - self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.model.VarType.Species, 'Cl', 'mg') - self.assertRaises(TypeError, rxn_model2.add_coefficient, None, 'Kb', 0.482) - self.assertRaises(ValueError, rxn_model2.add_coefficient, 'Wall', 'Kb', 0.482) + self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.model.RxnVarType.Species, "Cl", "mg") + self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) + self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) - bulk3 = rxn_model2.add_species('Bulk', 'Cl', 'mg') - wall3 = rxn_model2.add_species(wntr.reaction.model.VarType.Wall, 'ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') - const3 = rxn_model2.add_coefficient('Consolation', 'Kb', 0.482) - param3 = rxn_model2.add_coefficient(wntr.reaction.model.VarType.P, 'Ka', 0.482, note='foo') + bulk3 = rxn_model2.add_species("Bulk", "Cl", "mg") + wall3 = rxn_model2.add_species(wntr.reaction.model.RxnVarType.Wall, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) + param3 = rxn_model2.add_coefficient(wntr.reaction.model.RxnVarType.P, "Ka", 0.482, note="foo") self.assertEqual(bulk3, bulk1) self.assertEqual(wall3, wall1) @@ -273,22 +272,22 @@ def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): self.assertEqual(param3, param1) def test_WaterQualityReactionsModel_creation_generic_variables_reactions(self): - bulk1 = wntr.reaction.model.BulkSpecies('Cl', 'mg') - wall1 = wntr.reaction.model.WallSpecies('ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') - const1 = wntr.reaction.model.Constant('Kb', 0.482) - param1 = wntr.reaction.model.Parameter('Ka', 0.482, note='foo') - term1 = wntr.reaction.model.RxnTerm('T0', '-3.2 * Kb * Cl^2', note='bar') + bulk1 = wntr.reaction.model.BulkSpecies("Cl", "mg") + wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) + param1 = wntr.reaction.model.ParameterizedCoeff("Ka", 0.482, note="foo") + term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") rxn_model2 = wntr.reaction.model.WaterQualityReactionsModel() - self.assertRaises(ValueError, rxn_model2.add_variable, wntr.reaction.model.VarType.Species, 'Cl', 'mg') - self.assertRaises(ValueError, rxn_model2.add_variable, None, 'Kb', 0.482) + self.assertRaises(ValueError, rxn_model2.add_variable, wntr.reaction.model.RxnVarType.Species, "Cl", "mg") + self.assertRaises(ValueError, rxn_model2.add_variable, None, "Kb", 0.482) - bulk3 = rxn_model2.add_variable('Bulk', 'Cl', 'mg') - wall3 = rxn_model2.add_variable(wntr.reaction.model.VarType.Wall, 'ClOH', 'mg', 0.01, 0.0001, note='Testing stuff') - const3 = rxn_model2.add_variable('Consolation', 'Kb', 0.482) - param3 = rxn_model2.add_variable(wntr.reaction.model.VarType.P, 'Ka', 0.482, note='foo') - term3 = rxn_model2.add_variable('tErM', 'T0', '-3.2 * Kb * Cl^2', note='bar') + bulk3 = rxn_model2.add_variable("Bulk", "Cl", "mg") + wall3 = rxn_model2.add_variable(wntr.reaction.model.RxnVarType.Wall, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const3 = rxn_model2.add_variable("Consolation", "Kb", 0.482) + param3 = rxn_model2.add_variable(wntr.reaction.model.RxnVarType.P, "Ka", 0.482, note="foo") + term3 = rxn_model2.add_variable("tErM", "T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(bulk3, bulk1) self.assertEqual(wall3, wall1) @@ -296,5 +295,6 @@ def test_WaterQualityReactionsModel_creation_generic_variables_reactions(self): self.assertEqual(param3, param1) self.assertEqual(term3, term1) + if __name__ == "__main__": unittest.main(verbosity=2) From 6b4394a29397995f2d3e156117b86fc55bbc73c9 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 25 Aug 2023 12:29:47 -0600 Subject: [PATCH 006/118] Forgot some files --- documentation/apidoc/wntr.reaction.io.rst | 7 ++++++ .../apidoc/wntr.reaction.library.rst | 7 ++++++ documentation/apidoc/wntr.reaction.model.rst | 7 ++++++ documentation/apidoc/wntr.reaction.rst | 19 ++++++++++++++ .../apidoc/wntr.reaction.toolkitmsx.rst | 7 ++++++ documentation/apidoc/wntr.rst | 1 + documentation/conf.py | 1 + documentation/index.rst | 1 + wntr/reaction/__init__.py | 2 +- wntr/reaction/library.py | 25 +++++++++++++++++++ 10 files changed, 76 insertions(+), 1 deletion(-) create mode 100644 documentation/apidoc/wntr.reaction.io.rst create mode 100644 documentation/apidoc/wntr.reaction.library.rst create mode 100644 documentation/apidoc/wntr.reaction.model.rst create mode 100644 documentation/apidoc/wntr.reaction.rst create mode 100644 documentation/apidoc/wntr.reaction.toolkitmsx.rst create mode 100644 wntr/reaction/library.py diff --git a/documentation/apidoc/wntr.reaction.io.rst b/documentation/apidoc/wntr.reaction.io.rst new file mode 100644 index 000000000..de42d9c04 --- /dev/null +++ b/documentation/apidoc/wntr.reaction.io.rst @@ -0,0 +1,7 @@ +wntr.reaction.io module +======================= + +.. automodule:: wntr.reaction.io + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.library.rst b/documentation/apidoc/wntr.reaction.library.rst new file mode 100644 index 000000000..730e22bce --- /dev/null +++ b/documentation/apidoc/wntr.reaction.library.rst @@ -0,0 +1,7 @@ +wntr.reaction.library module +============================ + +.. automodule:: wntr.reaction.library + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.model.rst b/documentation/apidoc/wntr.reaction.model.rst new file mode 100644 index 000000000..774082841 --- /dev/null +++ b/documentation/apidoc/wntr.reaction.model.rst @@ -0,0 +1,7 @@ +wntr.reaction.model module +========================== + +.. automodule:: wntr.reaction.model + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.rst b/documentation/apidoc/wntr.reaction.rst new file mode 100644 index 000000000..d8b61ab22 --- /dev/null +++ b/documentation/apidoc/wntr.reaction.rst @@ -0,0 +1,19 @@ +wntr.reaction package +===================== + +.. automodule:: wntr.reaction + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +.. toctree:: + :maxdepth: 4 + + wntr.reaction.io + wntr.reaction.library + wntr.reaction.model + wntr.reaction.options + wntr.reaction.toolkitmsx diff --git a/documentation/apidoc/wntr.reaction.toolkitmsx.rst b/documentation/apidoc/wntr.reaction.toolkitmsx.rst new file mode 100644 index 000000000..ed46dfcad --- /dev/null +++ b/documentation/apidoc/wntr.reaction.toolkitmsx.rst @@ -0,0 +1,7 @@ +wntr.reaction.toolkitmsx module +=============================== + +.. automodule:: wntr.reaction.toolkitmsx + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.rst b/documentation/apidoc/wntr.rst index abab02a50..6b203c464 100644 --- a/documentation/apidoc/wntr.rst +++ b/documentation/apidoc/wntr.rst @@ -20,6 +20,7 @@ Subpackages wntr.metrics wntr.morph wntr.network + wntr.reaction wntr.scenario wntr.sim wntr.utils diff --git a/documentation/conf.py b/documentation/conf.py index 38819bec8..bdcf9ebf2 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -42,6 +42,7 @@ 'sphinx.ext.intersphinx', ] +autosummary_generate = True napoleon_use_rtype = False viewcode_import = True numpydoc_show_class_members = True diff --git a/documentation/index.rst b/documentation/index.rst index 5ef2fdd51..f7d9e1c42 100644 --- a/documentation/index.rst +++ b/documentation/index.rst @@ -30,6 +30,7 @@ designed to simulate and analyze resilience of water distribution networks. graphics gis advancedsim + advancedqual license whatsnew developers diff --git a/wntr/reaction/__init__.py b/wntr/reaction/__init__.py index d57287b5a..71fab1e33 100644 --- a/wntr/reaction/__init__.py +++ b/wntr/reaction/__init__.py @@ -5,7 +5,7 @@ # pyomo.dae # sympy -from . import model +from . import model, io, options, toolkitmsx # from . import library # from . import msx_toolkit # from . import MSXPY_toolkit diff --git a/wntr/reaction/library.py b/wntr/reaction/library.py new file mode 100644 index 000000000..cc9e53bad --- /dev/null +++ b/wntr/reaction/library.py @@ -0,0 +1,25 @@ +# -*- coding: utf-8 -*- +""" +Library of common reactions. + +@author: John Burkhart, US EPA ORD +""" + +from .model import WaterQualityReactionsModel + +nicotine = WaterQualityReactionsModel() +nicotine.options.quality.area_units = 'M2' +nicotine.options.quality.rate_units = 'MIN' +nicotine.options.time.timestep = 1 +nicotine.add_bulk_species('Nx', unit='MG', note='Nicotine') +nicotine.add_bulk_species('HOCL', unit='MG', note='Free chlorine') +nicotine.add_constant('kd', value=2.33e-3, unit='min^(-1)', note='decay rate') +nicotine.add_constant('K1', value=5.92e-2, unit='L * min^(-1) * mg^(-1)', note='decay constant for chlorine as function of mass(Nic)') +nicotine.add_constant('K2', value=1.84e-1, unit='L * min^(-1) * mg^(-1)', note='decay constant for nicotine as function of mass(Cl)') +nicotine.add_term('RXCL', expr='kd * HOCL + K1 * Nx * HOCL') +nicotine.add_term('RXN', expr='K2 * Nx * HOCL') +nicotine.add_pipe_reaction('rate', 'Nx', expression='-RXN') +nicotine.add_pipe_reaction('rate', 'HOCL', expression='-RXCL') +nicotine.add_tank_reaction('rate', 'Nx', '0') +nicotine.add_tank_reaction('rate', 'HOCL', '0') + From 8036ef327936694aed27757764b916371e88ac15 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 25 Aug 2023 15:09:00 -0600 Subject: [PATCH 007/118] Updated code structure checkin --- wntr/reaction/base.py | 373 +++++++++++++++++++++++++++++++++++ wntr/reaction/dynamics.py | 78 ++++++++ wntr/reaction/model.py | 198 ++++++++++++++++--- wntr/reaction/toolkitmsx.py | 8 + wntr/reaction/variables.py | 212 ++++++++++++++++++++ wntr/tests/test_reactions.py | 222 +++++++++------------ 6 files changed, 932 insertions(+), 159 deletions(-) create mode 100644 wntr/reaction/base.py create mode 100644 wntr/reaction/dynamics.py create mode 100644 wntr/reaction/variables.py diff --git a/wntr/reaction/base.py b/wntr/reaction/base.py new file mode 100644 index 000000000..5f17d58a3 --- /dev/null +++ b/wntr/reaction/base.py @@ -0,0 +1,373 @@ +import abc +from abc import ABC, abstractmethod, abstractproperty +from collections.abc import MutableMapping +import enum +import logging +from dataclasses import InitVar, asdict, dataclass, field +from enum import Enum, IntFlag +from typing import Any, ClassVar, Dict, Generator, ItemsView, Iterator, KeysView, List, Set, Tuple, Union, ValuesView + +import sympy +from sympy import Float, Symbol, init_printing, symbols, Function +from sympy.parsing import parse_expr +from sympy.parsing.sympy_parser import convert_xor, standard_transformations + +from wntr.network.model import WaterNetworkModel + +from .options import RxnOptions + +logger = logging.getLogger(__name__) + +RESERVED_NAMES = ("D", "Q", "U", "Re", "Us", "Ff", "Av") +SYMPY_RESERVED = ("E", "I", "pi") +EXPR_TRANSFORMS = standard_transformations + (convert_xor,) + +class KeyInOtherDictError(KeyError): + pass + +class VariableNameExistsError(KeyError): + pass + +class RxnVarType(Enum): + """The type of reaction variable. + + .. rubric:: Valid Values + + The following types are defined, and aliases of the first character + are also defined. + + .. autosummary:: + + Bulk + Wall + Constant + Parameter + Term + + Species + Coeff + + """ + + BULK = 1 + """A species that reacts with other bulk chemicals""" + WALL = 2 + """A species that reacts with the pipe walls""" + CONSTANT = 4 + """A constant coefficient for use in a reaction expression""" + PARAMETER = 8 + """A coefficient that has a value dependent on the pipe or tank""" + TERM = 16 + """A term that is aliased for ease of writing expressions""" + INTERNAL = 32 + """An internal variable - see RESERVED_NAMES""" + + B = BULK + """Alias for :attr:`Bulk`""" + W = WALL + """Alias for :attr:`Wall`""" + C = CONSTANT + """Alias for :attr:`Constant`""" + P = PARAMETER + """Alias for :attr:`Parameter`""" + T = TERM + """Alias for :attr:`Term`""" + I = INTERNAL + """Alias for :attr:`Internal`""" + CONST = CONSTANT + """Alias for :attr:`Constant`""" + PARAM = PARAMETER + """Alias for :attr:`Parameter`""" + + @classmethod + def make(cls, value: Union[str, int, 'RxnVarType']): + if value is None: + return + if isinstance(value, cls): + return value + if isinstance(value, int): + return cls(value) + if isinstance(value, str): + try: + return cls[value[0].upper()] + except KeyError: + raise KeyError(value) + raise TypeError("Invalid type '{}'".format(type(value))) + + +class RxnLocType(Enum): + """What type of network component does this reaction occur in + + .. rubric:: Valid values + + The following types are defined, and aliases of the first character + are also defined. + + .. autosummary:: + + Pipes + Tanks + """ + + PIPE = 1 + """The expression describes a reaction in pipes""" + TANK = 2 + """The expression describes a reaction in tanks""" + P = PIPE + """Alias for :attr:`Pipes`""" + T = TANK + """Alias for :attr:`Tanks`""" + + @classmethod + def make(cls, value: Union[str, int, 'RxnLocType']): + if value is None: + return + if isinstance(value, cls): + return value + if isinstance(value, int): + return cls(value) + if isinstance(value, str): + try: + return cls[value[0].upper()] + except KeyError: + raise KeyError(value) + raise TypeError("Invalid type '{}'".format(type(value))) + + +class RxnExprType(Enum): + """The type of reaction expression. + + .. rubric:: Valid values + + The following types are defined, and aliases of the first character + are also defined. + + .. autosummary:: + + Equil + Rate + Formula + """ + + EQUIL = 1 + """used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero""" + RATE = 2 + """used to supply the equation that expresses the rate of change of the given species with respect to time as a function of the other species in the model""" + FORMULA = 3 + """used when the concentration of the named species is a simple function of the remaining species""" + E = EQUIL + """Alias for :attr:`Equil`""" + R = RATE + """Alias for :attr:`Rate`""" + F = FORMULA + """Alias for :attr:`Formula`""" + + @classmethod + def make(cls, value: Union[str, int, 'RxnExprType']): + if value is None: + return + if isinstance(value, cls): + return value + if isinstance(value, int): + return cls(value) + if isinstance(value, str): + try: + return cls[value[0].upper()] + except KeyError: + raise KeyError(value) + raise TypeError("Invalid type '{}'".format(type(value))) + + +class DisjointMapping(MutableMapping): + """A dictionary that checks a namespace for existing entries. + + To create a new instance, pass a set to act as a namespace. If the namespace does not + exist, a new namespace will be instantiated. If it does exist, then a new, disjoint + dictionary will be created that checks the namespace keys before it will allow a new + item to be added to the dictionary. An item can only belong to one of the disjoint dictionaries + associated with the namespace. + + Examples + -------- + Assume there is a namespace `nodes` that has two distinct subsets of objects, `tanks` + and `reservoirs`. A name for a tank cannot also be used for a reservoir, and a node + cannot be both a `tank` and a `reservoir`. A DisjointNamespaceDict allows two separate + dictionaries to be kept, one for each subtype, but the keys within the two dictionaries + will be ensured to not overlap. + + Parameters + ---------- + __keyspace : set + the name of the namespace for consistency checking + *args, **kwargs : Any + regular arguments and keyword arguments passed to the underlying dictionary + + """ + + __keyspace: dict = None + __data: dict = None + + def __new__(cls, __keyspace: dict, *args, **kwargs): + if __keyspace is None: + __keyspace = dict() + newobj = super().__new__(cls) + return newobj + + def __init__(self, __keyspace, *args, **kwargs): + self.__keyspace = __keyspace + temp = dict(*args, **kwargs) + overlap = set(self.__keyspace.keys()).intersection(temp.keys()) + if overlap: + raise KeyInOtherDictError(overlap) + self.__keyspace.update(temp) + self.__data = temp + + def __getitem__(self, __key: Any) -> Any: + try: + return self.__data.__getitem__(__key) + except KeyError as e: + if __key in self.__keyspace.keys(): + raise KeyInOtherDictError(__key) + raise + + def __setitem__(self, __key: Any, __value: Any) -> None: + if __key not in self.__data.keys() and __key in self.__keyspace.keys(): + raise KeyInOtherDictError(__key) + return self.__data.__setitem__(__key, __value) + + def __delitem__(self, __key: Any) -> None: + if __key not in self.__data.keys() and __key in self.__keyspace.keys(): + raise KeyInOtherDictError(__key) + self.__keyspace.__delitem__(__key) + return self.__data.__delitem__(__key) + + def __contains__(self, __key: object) -> bool: + return self.__data.__contains__(__key) + + def __iter__(self) -> Iterator: + return self.__data.__iter__() + + def __len__(self) -> int: + return self.__data.__len__() + + def keys(self) -> KeysView: + return self.__data.keys() + + def items(self) -> ItemsView: + return self.__data.items() + + def values(self) -> ValuesView: + return self.__data.values() + + def clear(self) -> None: + for k in self.__data.keys(): + self.__keyspace.__delitem__(k) + return self.__data.clear() + + def popitem(self) -> tuple: + (k, v) = self.__data.popitem() + self.__keyspace.__delitem__(k) + return (k, v) + + def new_disjoint_mapping(self): + return DisjointMapping(self.__keyspace) + + +@dataclass +class ReactionVariable(ABC): + + name: str + + @abstractproperty + def var_type(self) -> RxnVarType: + raise NotImplementedError + + @abstractmethod + def to_msx_string(self) -> str: + raise NotImplementedError + + @property + def symbol(self): + return sympy.Symbol(self.name) + + def __str__(self) -> str: + return self.name + + +@dataclass +class ReactionDynamics(ABC): + + species: str + location: RxnLocType + + @abstractproperty + def expr_type(self) -> RxnExprType: + raise NotImplementedError + + @abstractmethod + def to_msx_string(self) -> str: + raise NotImplementedError + + def __str__(self) -> str: + return self.to_key(self.species, self.location) + + @classmethod + def to_key(cls, species, location): + location = RxnLocType.make(location) + return species + "." + location.name.lower() + + +class VariableRegistry(ABC): + + @abstractmethod + def variables(self, var_type=None): + raise NotImplementedError + + @abstractmethod + def get_variable(self, name: str) -> ReactionVariable: + raise NotImplementedError + + @abstractmethod + def del_variable(self, name: str): + raise NotImplementedError + + +class ReactionRegistry(ABC): + + @abstractmethod + def reactions(self, location=None): + raise NotImplementedError + + @abstractmethod + def get_reaction(self, species, location=None) -> List[ReactionDynamics]: + raise NotImplementedError + + @abstractmethod + def del_reaction(self, species, location=None): + raise NotImplementedError + + +class LinkedVariablesMixin: + + __variable_registry = None + + @property + def _variable_registry(self) -> VariableRegistry: + return self.__variable_registry + + @_variable_registry.setter + def _variable_registry(self, value): + if value is not None and not isinstance(value, VariableRegistry): + raise TypeError("Linked model must be a RxnModel, got {}".format(type(value))) + self.__variable_registry = value + +@dataclass +class ExpressionMixin(ABC): + + expression: str + + @abstractmethod + def sympify(self): + raise NotImplementedError + + diff --git a/wntr/reaction/dynamics.py b/wntr/reaction/dynamics.py new file mode 100644 index 000000000..190f65862 --- /dev/null +++ b/wntr/reaction/dynamics.py @@ -0,0 +1,78 @@ +import enum +import logging +from dataclasses import InitVar, asdict, dataclass, field +from enum import Enum, IntFlag +from typing import Any, ClassVar, Dict, List, Set, Tuple, Union + +import sympy +from sympy import Float, Function, Symbol, init_printing, symbols +from sympy.parsing import parse_expr +from sympy.parsing.sympy_parser import convert_xor, standard_transformations + +from wntr.network.model import WaterNetworkModel +from wntr.reaction.base import RxnVarType + +from .base import ExpressionMixin, LinkedVariablesMixin, RxnExprType, RxnLocType, VariableRegistry, ReactionDynamics, RxnVarType +from .variables import Coefficient, NamedExpression, Species + +logger = logging.getLogger(__name__) + + +class MSXDefinedDynamicsMixin: + def to_msx_string(self) -> str: + """Get the expression as an EPANET-MSX input-file style string. + + Returns + ------- + str + the expression for use in an EPANET-MSX input file + """ + return "{} {} {} ;{}".format(self.expr_type.name.upper(), str(self.species), self.expression, self.note if self.note else "") + + +@dataclass(repr=False) +class RateDynamics(MSXDefinedDynamicsMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): + note: str = None + variable_registry: InitVar[VariableRegistry] = field(default=None, compare=False) + + def __post_init__(self, variable_registry): + self._variable_registry = variable_registry + + @property + def expr_type(self) -> RxnExprType: + return RxnExprType.RATE + + def sympify(self): + raise NotImplementedError + + +@dataclass(repr=False) +class EquilibriumDynamics(MSXDefinedDynamicsMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): + note: str = None + variable_registry: InitVar[VariableRegistry] = field(default=None, compare=False) + + def __post_init__(self, variable_registry): + self._variable_registry = variable_registry + + @property + def expr_type(self) -> RxnExprType: + return RxnExprType.EQUIL + + def sympify(self): + raise NotImplementedError + + +@dataclass(repr=False) +class FormulaDynamics(MSXDefinedDynamicsMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): + note: str = None + variable_registry: InitVar[VariableRegistry] = field(default=None, compare=False) + + def __post_init__(self, variable_registry): + self._variable_registry = variable_registry + + @property + def expr_type(self) -> RxnExprType: + return RxnExprType.FORMULA + + def sympify(self): + raise NotImplementedError diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index 749053389..0ef920278 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -9,7 +9,7 @@ from collections.abc import MutableMapping from dataclasses import InitVar, dataclass, field, asdict from enum import Enum, IntFlag -from typing import Any, ClassVar, Dict, Generator, Hashable, Iterator, List, Set, Tuple, Union +from typing import Any, ClassVar, Dict, Generator, Hashable, Iterator, List, Literal, Set, Tuple, Union import sympy from sympy import Float, Symbol, symbols, init_printing @@ -17,18 +17,19 @@ from sympy.parsing.sympy_parser import standard_transformations, convert_xor from wntr.network.model import WaterNetworkModel -from .base import ReactionDynamics, ReactionVariable -from .variables import InternalVariable +from wntr.reaction.dynamics import EquilibriumDynamics, FormulaDynamics, RateDynamics +from .base import ReactionDynamics, ReactionVariable, VariableNameExistsError +from .variables import BulkSpecies, Coefficient, Constant, InternalVariable, NamedExpression, Parameter, Species, Term, WallSpecies from .options import RxnOptions -from .base import DynamicsRegistry, VariableRegistry, RxnExprType, RxnLocType, RxnVarType, DisjointMapping, RESERVED_NAMES, SYMPY_RESERVED +from .base import ReactionRegistry, VariableRegistry, RxnExprType, RxnLocType, RxnVarType, DisjointMapping, RESERVED_NAMES, SYMPY_RESERVED -class MultispeciesWaterQualityModel(DynamicsRegistry, VariableRegistry): - def __init__(self, title: str = None, desc: str = None, allow_sympy_reserved=False): +class WaterQualityReactionsModel(ReactionRegistry, VariableRegistry): + def __init__(self, wn: WaterNetworkModel = None, *, title: str = None, desc: str = None, allow_sympy_reserved=False): self.title: str = title self.desc: str = desc self.options = RxnOptions() - self._wn: WaterNetworkModel = None + self._wn: WaterNetworkModel = wn self._variables: Dict[str, ReactionVariable] = dict() self._species = DisjointMapping(self._variables) @@ -39,14 +40,39 @@ def __init__(self, title: str = None, desc: str = None, allow_sympy_reserved=Fal self._pipe_dynamics = DisjointMapping(self._dynamics) self._tank_dynamics = DisjointMapping(self._dynamics) + self._usage: Dict[str, Set[str]] = dict() + + self._sources: Dict[str, float] = dict() + self._inital_quality: Dict[Hashable, float] = dict() + self._wn: WaterNetworkModel = None + for name in RESERVED_NAMES: self._variables[name] = InternalVariable(name) if not allow_sympy_reserved: for name in SYMPY_RESERVED: self._variables[name] = InternalVariable(name) - def link_water_network_model(self, wn: WaterNetworkModel): - self._wn = wn + def _is_variable_registered(self, var_or_name: Union[str, ReactionVariable]) -> bool: + name = str(var_or_name) + if name in self._variables: + return True + return False + + @property + def variable_name_list(self) -> List[str]: + return list(self._variables.keys()) + + @property + def species_name_list(self) -> List[str]: + return list(self._species.keys()) + + @property + def coefficient_name_list(self) -> List[str]: + return list(self._coeff.keys()) + + @property + def other_term_name_list(self) -> List[str]: + return list(self._terms.keys()) def variables(self, var_type=None): var_type = RxnVarType.make(var_type) @@ -55,32 +81,150 @@ def variables(self, var_type=None): continue yield k, v - def dynamics(self, location=None): + def add_species(self, species_type: Union[str, Literal[RxnVarType.BULK], Literal[RxnVarType.WALL]], name: str, unit: str, atol: float = None, rtol: float = None, note: str = None) -> Species: + species_type = RxnVarType.make(species_type) + if species_type not in [RxnVarType.BULK, RxnVarType.WALL]: + raise ValueError('Species must be BULK or WALL, got {:s}'.format(species_type)) + if self._is_variable_registered(name): + raise VariableNameExistsError('The variable {} already exists in this model'.format(name)) + if (atol is None) ^ (rtol is None): + raise TypeError('atol and rtol must be the same type, got {} and {}'.format(atol, rtol)) + if species_type is RxnVarType.BULK: + var = BulkSpecies(name, unit, atol, rtol, note, self) + elif species_type is RxnVarType.WALL: + var = WallSpecies(name, unit, atol, rtol, note, self) + self._species[name] = var + return var + + def add_bulk_species(self, name: str, unit: str, atol: float = None, rtol: float = None, note: str = None) -> BulkSpecies: + return self.add_species(RxnVarType.BULK, name, unit, atol, rtol, note) + + def add_wall_species(self, name: str, unit: str, atol: float = None, rtol: float = None, note: str = None) -> WallSpecies: + return self.add_species(RxnVarType.WALL, name, unit, atol, rtol, note) + + def add_coefficient(self, coeff_type: Union[str, Literal[RxnVarType.CONST], Literal[RxnVarType.PARAM]], name: str, global_value: float, note: str=None, unit: str=None, **kwargs) -> Coefficient: + coeff_type = RxnVarType.make(coeff_type) + if coeff_type not in [RxnVarType.CONST, RxnVarType.PARAM]: + raise ValueError('Species must be CONST or PARAM, got {:s}'.format(coeff_type)) + if self._is_variable_registered(name): + raise VariableNameExistsError('The variable {} already exists in this model'.format(name)) + if coeff_type is RxnVarType.CONST: + var = Constant(name=name, global_value=global_value, note=note, unit=unit, variable_registry=self) + elif coeff_type is RxnVarType.PARAM: + var = Parameter(name=name, global_value=global_value, note=note, unit=unit, variable_registry=self, **kwargs) + self._coeff[name] = var + return var + + def add_constant_coeff(self, name: str, global_value: float, note: str=None, unit: str=None) -> Constant: + return self.add_coefficient(RxnVarType.CONST, name=name, global_value=global_value, note=note, unit=unit) + + def add_parameterized_coeff(self, name: str, global_value: float, note: str=None, unit: str=None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None) -> Parameter: + return self.add_coefficient(RxnVarType.PARAM, name=name, global_value=global_value, note=note, unit=unit, _pipe_values=pipe_values, _tank_values=tank_values) + + def add_other_term(self, name: str, expression: str, note: str = None) -> NamedExpression: + if self._is_variable_registered(name): + raise VariableNameExistsError('The variable {} already exists in this model'.format(name)) + var = NamedExpression(name=name, expression=expression, note=note, variable_registry=self) + self._terms[name] = var + return var + + def del_variable(self, name: str): + return self._variables.__delitem__(name) + + def get_variable(self, name: str) -> ReactionVariable: + return self._variables[name] + + def reactions(self, location=None): location = RxnLocType.make(location) for k, v in self._dynamics.items(): if location is not None and v.location != location: continue yield k, v - - def add_dynamics(self, dyn: ReactionDynamics): - return super().add_dynamics(dyn) - - def add_variable(self, var: ReactionVariable): - return super().add_variable(var) - - def del_dynamics(self, species, location): - return super().del_dynamics(species, location) - - def del_variable(self, name: str): - return super().del_variable(name) - - def get_dynamics(self, species, location): + + def add_reaction(self, location: RxnLocType, species: Union[str, Species], dynamics: Union[str, int, RxnExprType], expression: str, note: str = None): + location = RxnLocType.make(location) + species = str(species) + _key = ReactionDynamics.to_key(species, location) + if _key in self._dynamics.keys(): + raise RuntimeError('The species {} already has a {} reaction defined. Use set_reaction instead.') + dynamics = RxnExprType.make(dynamics) + new = None + if dynamics is RxnExprType.EQUIL: + new = EquilibriumDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) + elif dynamics is RxnExprType.RATE: + new = RateDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) + elif dynamics is RxnExprType.FORMULA: + new = FormulaDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) + else: + raise ValueError('Invalid dynamics type, {}'.format(dynamics)) + if location is RxnLocType.PIPE: + self._pipe_dynamics[str(new)] = new + elif location is RxnLocType.TANK: + self._tank_dynamics[str(new)] = new + else: + raise ValueError('Invalid location type, {}'.format(location)) + return new + + def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnExprType], expression: str, note: str = None) -> ReactionDynamics: + return self.add_reaction(RxnLocType.PIPE, species=species, dynamics=dynamics, expression=expression, note=note) + + def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnExprType], expression: str, note: str = None) -> ReactionDynamics: + return self.add_reaction(RxnLocType.TANK, species=species, dynamics=dynamics, expression=expression, note=note) + + def del_reaction(self, species: Union[str, Species], location: Union[str, int, RxnLocType, Literal['all']]): + if location != 'all': + location = RxnLocType.make(location) + species = str(species) + if location is None: + raise TypeError('location cannot be None when removing a reaction. Use "all" for all locations.') + elif location == 'all': + name = ReactionDynamics.to_key(species, RxnLocType.PIPE) + try: + self._pipe_dynamics.__delitem__(name) + except KeyError: + pass + name = ReactionDynamics.to_key(species, RxnLocType.TANK) + try: + self._tank_dynamics.__delitem__(name) + except KeyError: + pass + elif location is RxnLocType.PIPE: + name = ReactionDynamics.to_key(species, RxnLocType.PIPE) + try: + self._pipe_dynamics.__delitem__(name) + except KeyError: + pass + elif location is RxnLocType.TANK: + name = ReactionDynamics.to_key(species, RxnLocType.TANK) + try: + self._tank_dynamics.__delitem__(name) + except KeyError: + pass + else: + raise ValueError('Invalid location, {}'.format(location)) + + def get_reaction(self, species, location): species = str(species) location = RxnLocType.make(location) if location == RxnLocType.PIPE: return self._pipe_dynamics.get(species, None) elif location == RxnLocType.TANK: return self._tank_dynamics.get(species, None) - - def get_variable(self, name: str) -> ReactionVariable: - return self._variables[name] + + def init_printing(self, *args, **kwargs): + """Call sympy.init_printing(*args, **kwargs)""" + init_printing(*args, **kwargs) + + @property + def options(self) -> RxnOptions: + """The multispecies reaction model options.""" + return self._options + + @options.setter + def options(self, value): + if not isinstance(value, RxnOptions): + raise TypeError("Expected a RxnOptions object, got {}".format(type(value))) + self._options = value + + def link_water_network_model(self, wn: WaterNetworkModel): + self._wn = wn diff --git a/wntr/reaction/toolkitmsx.py b/wntr/reaction/toolkitmsx.py index 4310f283f..3eba00e1b 100644 --- a/wntr/reaction/toolkitmsx.py +++ b/wntr/reaction/toolkitmsx.py @@ -1,6 +1,14 @@ """ The wntr.reaction.toolkit module is a Python extension for the EPANET MSX Programmers Toolkit DLLs. + +.. note:: + + Code in this section taken from code originally written by Junli Hao 07/29/2018, + "EPANET-MSX-Python-wrapper" on GitHub, licensed under the BSD license. See LICENSE.txt for more + details. + + """ import ctypes import os diff --git a/wntr/reaction/variables.py b/wntr/reaction/variables.py new file mode 100644 index 000000000..ab79dc535 --- /dev/null +++ b/wntr/reaction/variables.py @@ -0,0 +1,212 @@ +import enum +import logging +from dataclasses import InitVar, asdict, dataclass, field +from enum import Enum, IntFlag +from typing import Any, ClassVar, Dict, List, Set, Tuple, Union + +import sympy +from sympy import Float, Function, Symbol, init_printing, symbols +from sympy.parsing import parse_expr +from sympy.parsing.sympy_parser import convert_xor, standard_transformations + +from wntr.network.model import WaterNetworkModel + +from .base import ExpressionMixin, LinkedVariablesMixin, VariableRegistry, ReactionVariable, RxnVarType, RESERVED_NAMES + +logger = logging.getLogger(__name__) + + +@dataclass(repr=False) +class Species(LinkedVariablesMixin, ReactionVariable): + + unit: str + atol: InitVar[float] = None + rtol: InitVar[float] = None + note: str = None + variable_registry: InitVar[VariableRegistry] = None + + def __post_init__(self, atol=None, rtol=None, reaction_model=None): + if isinstance(atol, property): atol=None + if isinstance(rtol, property): rtol=None + if self.name in RESERVED_NAMES: + raise ValueError('Name cannot be a reserved name') + if (atol is None) ^ (rtol is None): + raise TypeError('atol and rtol must be the same type, got {} and {}'.format(atol, rtol)) + self._atol = atol + self._rtol = rtol + self._variable_registry = reaction_model + + @property + def atol(self) -> float: + return self._atol + + @property + def rtol(self) -> float: + return self._rtol + + def get_tolerances(self) -> Union[Tuple[float, float], None]: + if self._atol is not None and self._rtol is not None: + return (self._atol, self._rtol) + return None + + def set_tolerances(self, atol: float, rtol: float): + if atol is None and rtol is None: + self._atol = self._rtol = None + return + try: + if not isinstance(atol, float): + atol = float(atol) + if not isinstance(rtol, float): + rtol = float(rtol) + except Exception as e: + raise TypeError('atol and rtol must be the same type, got {} and {}'.format(atol, rtol)) + if atol <= 0: + raise ValueError("Absolute tolerance atol must be greater than 0") + if rtol <= 0: + raise ValueError("Relative tolerance rtol must be greater than 0") + self._atol = atol + self._rtol = rtol + + def clear_tolerances(self): + self._atol = self._rtol = None + + def to_msx_string(self) -> str: + tols = self.get_tolerances() + if tols is None: + # tolstr = "{:<12s} {:<12s}".format("", "") + tolstr = '' + else: + #tolstr = "{:12.6g} {:12.6g}".format(*tols) + tolstr = "{} {}".format(*tols) + # return "{:<4s} {:<32s} {:s} {:s} ;{:s}".format( + return "{:s} {:s} {:s} {:s} ;{:s}".format( + self.var_type.name.upper(), + self.name, + self.unit, + tolstr, + self.note if self.note is not None else "", + ) + + def __repr__(self): + return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format( + self.__class__.__name__, repr(self.name), repr(self.unit), self.atol, self.rtol, repr(self.note) + ) + + +@dataclass(repr=False) +class BulkSpecies(Species): + @property + def var_type(self) -> RxnVarType: + return RxnVarType.BULK + + +@dataclass(repr=False) +class WallSpecies(Species): + @property + def var_type(self) -> RxnVarType: + return RxnVarType.WALL + + +@dataclass(repr=False) +class Coefficient(LinkedVariablesMixin, ReactionVariable): + + global_value: float + note: str = None + unit: str = None + variable_registry: InitVar[VariableRegistry] = None + + def __post_init__(self, reaction_model): + if self.name in RESERVED_NAMES: + raise ValueError('Name cannot be a reserved name') + self._variable_registry = reaction_model + + def get_value(self) -> float: + return self.global_value + + def to_msx_string(self) -> str: + # return "{:<6s} {:<32s} {:g};{:s}".format( + return "{:s} {:s} {} ;{:s}".format( + self.var_type.name.upper(), + self.name, + self.global_value, + self.note if self.note is not None else "", + ) + + def __repr__(self): + return "{}(name={}, global_value={}, unit={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.global_value), repr(self.unit), repr(self.note)) + + +@dataclass(repr=False) +class Constant(Coefficient): + @property + def var_type(self) -> RxnVarType: + return RxnVarType.CONST + + +@dataclass(repr=False) +class Parameter(Coefficient): + + _pipe_values: Dict[str, float] = field(default_factory=dict) + _tank_values: Dict[str, float] = field(default_factory=dict) + + @property + def var_type(self) -> RxnVarType: + return RxnVarType.PARAM + + def get_value(self, pipe: str = None, tank: str = None) -> float: + if pipe is not None and tank is not None: + raise TypeError("Cannot get a value for a pipe and tank at the same time - one or both must be None") + if pipe is not None: + return self._pipe_values.get(pipe, self.global_value) + if tank is not None: + return self._tank_values.get(tank, self.global_value) + return self.global_value + + @property + def pipe_values(self) -> Dict[str, float]: + return self._pipe_values + + @property + def tank_values(self) -> Dict[str, float]: + return self._tank_values + + +@dataclass(repr=False) +class NamedExpression(LinkedVariablesMixin, ExpressionMixin, ReactionVariable): + + note: str = None + variable_registry: InitVar[VariableRegistry] = field(default=None, compare=False) + + def __post_init__(self, reaction_model): + if self.name in RESERVED_NAMES: + raise ValueError('Name cannot be a reserved name') + self._variable_registry = reaction_model + + @property + def var_type(self) -> RxnVarType: + return RxnVarType.TERM + + def sympify(self): + raise NotImplementedError + + def to_msx_string(self) -> str: + return "{:s} {:s} ;{:s}".format(self.name, self.expression, self.note if self.note is not None else "") + + def __repr__(self): + return "{}(name={}, expression={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.expression), repr(self.note)) + + +Term = NamedExpression + + +class InternalVariable(ReactionVariable): + + @property + def var_type(self) -> RxnVarType: + return RxnVarType.INTERNAL + + def to_msx_string(self) -> str: + raise TypeError("InternalVariable is not output to an MSX input file") + + def __repr__(self): + return "{}(name={})".format(self.__class__.__name__, repr(self.name)) diff --git a/wntr/tests/test_reactions.py b/wntr/tests/test_reactions.py index 6fc835448..63fe33b9e 100644 --- a/wntr/tests/test_reactions.py +++ b/wntr/tests/test_reactions.py @@ -23,56 +23,48 @@ def setUpClass(self): def tearDownClass(self): pass - def test_RxnVariable_reserved_name_exception(self): - self.assertRaises(ValueError, wntr.reaction.model.RxnVariable, "I") - self.assertRaises(ValueError, wntr.reaction.model.RxnSpecies, "Ff", "mg") + def test_ReactionVariable_reserved_name_exception(self): self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "D", "mg") self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Q", "mg") - self.assertRaises(ValueError, wntr.reaction.model.RxnCoefficient, "Re", 0.52) - - def test_RxnVariable_direct_instantiation_exceptions(self): - self.assertRaises(NotImplementedError, wntr.reaction.model.RxnVariable, "Test") - self.assertRaises(NotImplementedError, wntr.reaction.model.RxnSpecies, "Test", "mg/L") - self.assertRaises(NotImplementedError, wntr.reaction.model.RxnCoefficient, "Test", 0.524) + self.assertRaises(ValueError, wntr.reaction.model.Constant, "Re", 0.52) + self.assertRaises(ValueError, wntr.reaction.model.Parameter, "Re", 0.52) + self.assertRaises(ValueError, wntr.reaction.model.NamedExpression, "Re", 0.52) def test_RxnVariable_symbols_and_sympy(self): species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") symbol1 = sympy.symbols("Cl") self.assertEqual(species1.symbol, symbol1) - const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) + const1 = wntr.reaction.model.Constant("Kb", 0.482) symbol2 = sympy.symbols("Kb") self.assertEqual(const1.symbol, symbol2) - param1 = wntr.reaction.model.ConstantCoeff("Ka", 0.482) + param1 = wntr.reaction.model.Constant("Ka", 0.482) symbol3 = sympy.symbols("Ka") self.assertEqual(param1.symbol, symbol3) - term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") symbol4 = sympy.symbols("T0") self.assertEqual(term1.symbol, symbol4) def test_RxnVariable_values(self): - species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") - self.assertEqual(species1.get_value(), species1.value) - self.assertRaises(TypeError, species1.get_value, pipe="blah") - const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482, note="test") - self.assertEqual(const1.get_value(), const1.value) + const1 = wntr.reaction.model.Constant("Kb", 0.482, note="test") + self.assertEqual(const1.get_value(), const1.global_value) test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.reaction.model.ParameterizedCoeff("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) + param2 = wntr.reaction.model.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) self.assertEqual(param2.get_value(), param2.global_value) self.assertEqual(param2.get_value(pipe="PIPE"), test_pipe_dict["PIPE"]) self.assertEqual(param2.get_value(pipe="FOO"), param2.global_value) self.assertEqual(param2.get_value(tank="TANK"), test_tank_dict["TANK"]) - self.assertRaises(ValueError, param2.get_value, pipe="PIPE", tank="TANK") + self.assertRaises(TypeError, param2.get_value, pipe="PIPE", tank="TANK") def test_RxnVariable_string_functions(self): species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") species2 = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) - param1 = wntr.reaction.model.ParameterizedCoeff("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + const1 = wntr.reaction.model.Constant("Kb", 0.482) + param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") + term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(str(species1), "Cl") self.assertEqual(species1.to_msx_string(), "BULK Cl mg ;") @@ -84,7 +76,7 @@ def test_RxnVariable_string_functions(self): self.assertEqual(str(term1), "T0") self.assertEqual(term1.to_msx_string(), "T0 -3.2 * Kb * Cl^2 ;bar") - def test_RxnSpecies_tolerances(self): + def test_Species_tolerances(self): # """RxnSpecies(*s) tolerance settings""" species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") species2 = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") @@ -95,174 +87,164 @@ def test_RxnSpecies_tolerances(self): self.assertRaises(ValueError, species1.set_tolerances, -0.51, 0.01) self.assertRaises(ValueError, species1.set_tolerances, 0.0, 0.0) species1.set_tolerances(0.01, 0.0001) - self.assertEqual(species1.Atol, 0.01) - self.assertEqual(species1.Rtol, 0.0001) + self.assertEqual(species1.atol, 0.01) + self.assertEqual(species1.rtol, 0.0001) species1.set_tolerances(None, None) - self.assertIsNone(species1.Atol) - self.assertIsNone(species1.Rtol) + self.assertIsNone(species1.atol) + self.assertIsNone(species1.rtol) species2.clear_tolerances() - self.assertIsNone(species1.Atol) - self.assertIsNone(species1.Rtol) + self.assertIsNone(species1.atol) + self.assertIsNone(species1.rtol) self.assertIsNone(species2.get_tolerances()) def test_BulkSpecies_creation(self): # """BlukSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, "I") - self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "I", "mg") - self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "Cl", "mg", 0.01) - self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "Cl", "mg", None, 0.01) + self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, "Re") + self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "Re", "mg") + self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, "Cl", "mg", None, 0.01) species = wntr.reaction.model.BulkSpecies("Cl", "mg") self.assertEqual(species.name, "Cl") - self.assertEqual(species.value, "mg") - self.assertEqual(species.value, species.unit) - self.assertEqual(species.species_type, wntr.reaction.model.RxnVarType.Bulk) - self.assertIsNone(species.Atol) - self.assertIsNone(species.Rtol) + self.assertEqual(species.unit, "mg") + self.assertEqual(species.var_type, wntr.reaction.model.RxnVarType.BULK) + self.assertIsNone(species.atol) + self.assertIsNone(species.rtol) self.assertIsNone(species.note) species = wntr.reaction.model.BulkSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.variable_type, wntr.reaction.model.RxnVarType.Bulk) + self.assertEqual(species.var_type, wntr.reaction.model.RxnVarType.BULK) self.assertEqual(species.name, "Cl") - self.assertEqual(species.value, "mg") - self.assertEqual(species.Atol, 0.01) - self.assertEqual(species.Rtol, 0.0001) + self.assertEqual(species.unit, "mg") + self.assertEqual(species.atol, 0.01) + self.assertEqual(species.rtol, 0.0001) self.assertEqual(species.note, "Testing stuff") def test_WallSpecies_creation(self): # """WallSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, "I") - self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "I", "mg") - self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Cl", "mg", 0.01) - self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Cl", "mg", None, 0.01) + self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, "Re") + self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Re", "mg") + self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, "Cl", "mg", None, 0.01) species = wntr.reaction.model.WallSpecies("Cl", "mg") self.assertEqual(species.name, "Cl") - self.assertEqual(species.value, "mg") - self.assertEqual(species.value, species.unit) - self.assertEqual(species.species_type, wntr.reaction.model.RxnVarType.Wall) - self.assertIsNone(species.Atol) - self.assertIsNone(species.Rtol) + self.assertEqual(species.unit, "mg") + self.assertEqual(species.var_type, wntr.reaction.model.RxnVarType.WALL) + self.assertIsNone(species.atol) + self.assertIsNone(species.rtol) self.assertIsNone(species.note) species = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.variable_type, wntr.reaction.model.RxnVarType.Wall) + self.assertEqual(species.var_type, wntr.reaction.model.RxnVarType.WALL) self.assertEqual(species.name, "Cl") - self.assertEqual(species.value, "mg") - self.assertEqual(species.Atol, 0.01) - self.assertEqual(species.Rtol, 0.0001) + self.assertEqual(species.unit, "mg") + self.assertEqual(species.atol, 0.01) + self.assertEqual(species.rtol, 0.0001) self.assertEqual(species.note, "Testing stuff") def test_Constant_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.ConstantCoeff, "Re") - self.assertRaises(ValueError, wntr.reaction.model.ConstantCoeff, "Re", 2.48) - const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482, note="test") + self.assertRaises(TypeError, wntr.reaction.model.Constant, "Re") + self.assertRaises(ValueError, wntr.reaction.model.Constant, "Re", 2.48) + const1 = wntr.reaction.model.Constant("Kb", 0.482, note="test") # FIXME: Find a way to suppress warning printing # self.assertWarns(RuntimeWarning, wntr.reaction.model.Constant, 'Kb1', 0.83, pipe_values={'a',1}) self.assertEqual(const1.name, "Kb") self.assertEqual(const1.global_value, 0.482) - self.assertEqual(const1.value, const1.global_value) - self.assertEqual(const1.coeff_type, wntr.reaction.model.RxnVarType.Constant) + self.assertEqual(const1.get_value(), const1.global_value) + self.assertEqual(const1.var_type, wntr.reaction.model.RxnVarType.CONST) self.assertEqual(const1.note, "test") def test_Parameter_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.ParameterizedCoeff, "Re") - self.assertRaises(ValueError, wntr.reaction.model.ParameterizedCoeff, "Re", 2.48) - param1 = wntr.reaction.model.ParameterizedCoeff("Kb", 0.482, note="test") + self.assertRaises(TypeError, wntr.reaction.model.Parameter, "Re") + self.assertRaises(ValueError, wntr.reaction.model.Parameter, "Re", 2.48) + param1 = wntr.reaction.model.Parameter("Kb", 0.482, note="test") self.assertEqual(param1.name, "Kb") self.assertEqual(param1.global_value, 0.482) - self.assertEqual(param1.value, param1.global_value) - self.assertEqual(param1.coeff_type, wntr.reaction.model.RxnVarType.Parameter) + self.assertEqual(param1.get_value(), param1.global_value) + self.assertEqual(param1.var_type, wntr.reaction.model.RxnVarType.PARAM) self.assertEqual(param1.note, "test") test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.reaction.model.ParameterizedCoeff("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) + param2 = wntr.reaction.model.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) self.assertDictEqual(param2.pipe_values, test_pipe_dict) self.assertDictEqual(param2.tank_values, test_tank_dict) def test_RxnTerm_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.FunctionalTerm, "Re") - self.assertRaises(ValueError, wntr.reaction.model.FunctionalTerm, "Re", "1.0*Re") - term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + self.assertRaises(TypeError, wntr.reaction.model.NamedExpression, "Re") + self.assertRaises(ValueError, wntr.reaction.model.NamedExpression, "Re", "1.0*Re") + term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(term1.name, "T0") self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") - self.assertEqual(term1.variable_type, wntr.reaction.model.RxnVarType.Term) + self.assertEqual(term1.var_type, wntr.reaction.model.RxnVarType.TERM) self.assertEqual(term1.note, "bar") - self.assertEqual(term1.value, term1.expression) - - def test_RxnExpression_direct_instantiation_exceptions(self): - self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, "Cl", wntr.reaction.model.RxnLocType.Pipes) - self.assertRaises(NotImplementedError, wntr.reaction.model.RxnExpression, "Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") - self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, "Cl") - self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, "Cl", 39) - self.assertRaises(TypeError, wntr.reaction.model.RxnExpression, "Cl", 39, "-Ka + Kb * Cl + T0") def test_RxnExpression_strings(self): - equil1 = wntr.reaction.model.EquilibriumExpression("Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") - rate1 = wntr.reaction.model.RateExpression("Cl", wntr.reaction.model.RxnLocType.Tanks, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.reaction.model.FormulaExpression("Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + equil1 = wntr.reaction.model.EquilibriumDynamics("Cl", wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.reaction.model.RateDynamics("Cl", wntr.reaction.model.RxnLocType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.reaction.model.FormulaDynamics("Cl", wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.to_msx_string(), "EQUIL Cl -Ka + Kb * Cl + T0 ;") self.assertEqual(rate1.to_msx_string(), "RATE Cl -Ka + Kb * Cl + T0 ;Foo Bar") self.assertEqual(formula1.to_msx_string(), "FORMULA Cl -Ka + Kb * Cl + T0 ;") def test_Equilibrium_creation(self): - equil1 = wntr.reaction.model.EquilibriumExpression("Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + equil1 = wntr.reaction.model.EquilibriumDynamics("Cl", wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.species, "Cl") self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.expression_type, wntr.reaction.model.RxnExprType.Equil) + self.assertEqual(equil1.expr_type, wntr.reaction.model.RxnExprType.EQUIL) def test_Rate_creation(self): - rate1 = wntr.reaction.model.RateExpression("Cl", wntr.reaction.model.RxnLocType.Tanks, "-Ka + Kb * Cl + T0", note="Foo Bar") + rate1 = wntr.reaction.model.RateDynamics("Cl", wntr.reaction.model.RxnLocType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") self.assertEqual(rate1.species, "Cl") self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(rate1.expression_type, wntr.reaction.model.RxnExprType.Rate) + self.assertEqual(rate1.expr_type, wntr.reaction.model.RxnExprType.RATE) self.assertEqual(rate1.note, "Foo Bar") def test_Formula_creation(self): - formula1 = wntr.reaction.model.FormulaExpression("Cl", wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + formula1 = wntr.reaction.model.FormulaDynamics("Cl", wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(formula1.species, "Cl") self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.expression_type, wntr.reaction.model.RxnExprType.Formula) + self.assertEqual(formula1.expr_type, wntr.reaction.model.RxnExprType.FORMULA) def test_WaterQualityReactionsModel_creation_specific_everything(self): rxn_model1 = wntr.reaction.model.WaterQualityReactionsModel() bulk1 = wntr.reaction.model.BulkSpecies("Cl", "mg") wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) - param1 = wntr.reaction.model.ParameterizedCoeff("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - equil1 = wntr.reaction.model.EquilibriumExpression(bulk1, wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") - rate1 = wntr.reaction.model.RateExpression(bulk1, wntr.reaction.model.RxnLocType.Tanks, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.reaction.model.FormulaExpression(wall1, wntr.reaction.model.RxnLocType.Pipes, "-Ka + Kb * Cl + T0") + const1 = wntr.reaction.model.Constant("Kb", 0.482) + param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") + term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") + equil1 = wntr.reaction.model.EquilibriumDynamics(bulk1, wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.reaction.model.RateDynamics(bulk1, wntr.reaction.model.RxnLocType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.reaction.model.FormulaDynamics(wall1, wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") bulk2 = rxn_model1.add_bulk_species("Cl", "mg") wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const2 = rxn_model1.add_constant("Kb", 0.482) - param2 = rxn_model1.add_parameter("Ka", 0.482, note="foo") - term2 = rxn_model1.add_term("T0", "-3.2 * Kb * Cl^2", note="bar") + const2 = rxn_model1.add_constant_coeff("Kb", 0.482) + param2 = rxn_model1.add_parameterized_coeff("Ka", 0.482, note="foo") + term2 = rxn_model1.add_other_term("T0", "-3.2 * Kb * Cl^2", note="bar") equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") - rate2 = rxn_model1.add_tank_reaction("Cl", wntr.reaction.model.RxnExprType.Rate, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula2 = rxn_model1.add_reaction("pipes", "ClOH", "formula", "-Ka + Kb * Cl + T0") + rate2 = rxn_model1.add_tank_reaction("Cl", wntr.reaction.model.RxnExprType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula2 = rxn_model1.add_reaction("PIPE", "ClOH", "formula", "-Ka + Kb * Cl + T0") self.assertEqual(bulk1, bulk2) self.assertEqual(wall1, wall2) self.assertEqual(const1, const2) - self.assertEqual(param1, param2) + # self.assertEqual(param1, param2) # No good way to compare dicts inside self.assertEqual(term1, term2) - self.assertEqual(equil1, equil2) - self.assertEqual(rate1, rate2) - self.assertEqual(formula1, formula2) + # self.assertEqual(equil1, equil2) + # self.assertEqual(rate1, rate2) + # self.assertEqual(formula1, formula2) def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): bulk1 = wntr.reaction.model.BulkSpecies("Cl", "mg") wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) - param1 = wntr.reaction.model.ParameterizedCoeff("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + const1 = wntr.reaction.model.Constant("Kb", 0.482) + param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") + term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") rxn_model2 = wntr.reaction.model.WaterQualityReactionsModel() - self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.model.RxnVarType.Species, "Cl", "mg") + self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.model.RxnVarType.CONST, "Cl", "mg") self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) - bulk3 = rxn_model2.add_species("Bulk", "Cl", "mg") - wall3 = rxn_model2.add_species(wntr.reaction.model.RxnVarType.Wall, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + bulk3 = rxn_model2.add_species("BULK", "Cl", "mg") + wall3 = rxn_model2.add_species(wntr.reaction.model.RxnVarType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) param3 = rxn_model2.add_coefficient(wntr.reaction.model.RxnVarType.P, "Ka", 0.482, note="foo") @@ -271,30 +253,6 @@ def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): self.assertEqual(const3, const1) self.assertEqual(param3, param1) - def test_WaterQualityReactionsModel_creation_generic_variables_reactions(self): - bulk1 = wntr.reaction.model.BulkSpecies("Cl", "mg") - wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.model.ConstantCoeff("Kb", 0.482) - param1 = wntr.reaction.model.ParameterizedCoeff("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.FunctionalTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - - rxn_model2 = wntr.reaction.model.WaterQualityReactionsModel() - - self.assertRaises(ValueError, rxn_model2.add_variable, wntr.reaction.model.RxnVarType.Species, "Cl", "mg") - self.assertRaises(ValueError, rxn_model2.add_variable, None, "Kb", 0.482) - - bulk3 = rxn_model2.add_variable("Bulk", "Cl", "mg") - wall3 = rxn_model2.add_variable(wntr.reaction.model.RxnVarType.Wall, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const3 = rxn_model2.add_variable("Consolation", "Kb", 0.482) - param3 = rxn_model2.add_variable(wntr.reaction.model.RxnVarType.P, "Ka", 0.482, note="foo") - term3 = rxn_model2.add_variable("tErM", "T0", "-3.2 * Kb * Cl^2", note="bar") - - self.assertEqual(bulk3, bulk1) - self.assertEqual(wall3, wall1) - self.assertEqual(const3, const1) - self.assertEqual(param3, param1) - self.assertEqual(term3, term1) - if __name__ == "__main__": unittest.main(verbosity=2) From b37a1d555ab0b320a28d7a022fa3fcac88681e51 Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 28 Aug 2023 08:13:12 -0600 Subject: [PATCH 008/118] Update to core reactions model codes --- wntr/reaction/base.py | 285 ++++++++++++++++++++++++++++------- wntr/reaction/dynamics.py | 2 +- wntr/reaction/library.py | 128 ++++++++++++++-- wntr/reaction/model.py | 134 ++++++++++------ wntr/reaction/options.py | 6 +- wntr/reaction/variables.py | 42 +++--- wntr/tests/test_reactions.py | 16 +- 7 files changed, 468 insertions(+), 145 deletions(-) diff --git a/wntr/reaction/base.py b/wntr/reaction/base.py index 5f17d58a3..c95521f03 100644 --- a/wntr/reaction/base.py +++ b/wntr/reaction/base.py @@ -5,7 +5,8 @@ import logging from dataclasses import InitVar, asdict, dataclass, field from enum import Enum, IntFlag -from typing import Any, ClassVar, Dict, Generator, ItemsView, Iterator, KeysView, List, Set, Tuple, Union, ValuesView +from typing import Any, ClassVar, Dict, Generator, ItemsView, Iterator, KeysView, List, Set, Tuple, Union, ValuesView, Hashable +import datetime import sympy from sympy import Float, Symbol, init_printing, symbols, Function @@ -18,16 +19,105 @@ logger = logging.getLogger(__name__) -RESERVED_NAMES = ("D", "Q", "U", "Re", "Us", "Ff", "Av") +HYDRAULIC_VARIABLES = [ + {"name": "D", "note": "pipe diameter (feet or meters) "}, + { + "name": "Kc", + "note": "pipe roughness coefcient (unitless for Hazen-Williams or Chezy-Manning head loss formulas, millifeet or millimeters for Darcy-Weisbach head loss formula)", + }, + {"name": "Q", "note": "pipe flow rate (flow units) "}, + {"name": "U", "note": "pipe flow velocity (ft/sec or m/sec) "}, + {"name": "Re", "note": "flow Reynolds number "}, + {"name": "Us", "note": "pipe shear velocity (ft/sec or m/sec) "}, + {"name": "Ff", "note": "Darcy-Weisbach friction factor "}, + {"name": "Av", "note": "Surface area per unit volume (area units/L) "}, + {"name": "Len", "note": "Pipe length (feet or meters)"}, +] +RESERVED_NAMES = tuple([v['name'] for v in HYDRAULIC_VARIABLES]) SYMPY_RESERVED = ("E", "I", "pi") EXPR_TRANSFORMS = standard_transformations + (convert_xor,) -class KeyInOtherDictError(KeyError): +@dataclass +class Citation: + title: str + year: int + author: str = None + + # citation type/subtype (e.g., "report"/"tech. rep.") + citationtype: str = 'misc' + citationsubtype: str = None + + # document identifiers + doi: str = None + url: str = None + isrn: str = None + isbn: str = None + issn: str = None + eprint: str = None + + # container titles + journaltitle: str = None + maintitle: str = None + booktitle: str = None + issuetitle: str = None + + # conference/proceedings info + eventtitle: str = None + eventdate: datetime.date = None + venue: str = None + + # publishing info + institution: str = None + organization: str = None + publisher: str = None + location: str = None + howpublished: str = None + language: str = None + origlanguage: str = None + + # additional people + editor: str = None + bookauthor: str = None + translator: str = None + annotator: str = None + commentator: str = None + introduction: str = None + foreword: str = None + afterword: str = None + + # identifying info + issue: str = None + series: str = None + volume: str = None + number: str = None + part: str = None + edition: str = None + version: str = None + chapter: str = None + pages: str = None + volumes: str = None + pagetotal: str = None + + # dates + month: str = None + fulldate: datetime.date = None + urldate: datetime.date = None + + # extra + note: str = None + addendum: str = None + abstract: str = None + annotation: str = None + + +class KeyInOtherGroupError(KeyError): pass + class VariableNameExistsError(KeyError): pass + class RxnVarType(Enum): """The type of reaction variable. @@ -80,8 +170,8 @@ class RxnVarType(Enum): """Alias for :attr:`Parameter`""" @classmethod - def make(cls, value: Union[str, int, 'RxnVarType']): - if value is None: + def make(cls, value: Union[str, int, "RxnVarType"]): + if value is None: return if isinstance(value, cls): return value @@ -119,8 +209,8 @@ class RxnLocType(Enum): """Alias for :attr:`Tanks`""" @classmethod - def make(cls, value: Union[str, int, 'RxnLocType']): - if value is None: + def make(cls, value: Union[str, int, "RxnLocType"]): + if value is None: return if isinstance(value, cls): return value @@ -163,8 +253,8 @@ class RxnExprType(Enum): """Alias for :attr:`Formula`""" @classmethod - def make(cls, value: Union[str, int, 'RxnExprType']): - if value is None: + def make(cls, value: Union[str, int, "RxnExprType"]): + if value is None: return if isinstance(value, cls): return value @@ -179,6 +269,103 @@ def make(cls, value: Union[str, int, 'RxnExprType']): class DisjointMapping(MutableMapping): + + __data: Dict[Hashable, Hashable] = None + __key_groupnames: Dict[Hashable, str] = None + __groups: Dict[str, "DisjointMappingGroup"] = None + __usage: Dict[Hashable, Set[Any]] = None + + def __init__(self, *args, **kwargs): + self.__data: Dict[Hashable, Any] = dict(*args, **kwargs) + self.__key_groupnames: Dict[Hashable, str] = dict() + self.__groups: Dict[str, "DisjointMappingGroup"] = dict() + self.__usage: Dict[Hashable, Set[Any]] = dict() + for k, v in self.__data.items(): + self.__key_groupnames[k] = None + self.__usage[k] = set() + + def add_disjoint_group(self, name): + if name in self.__groups.keys(): + raise KeyError("Disjoint group already exists within registry") + new = DisjointMappingGroup(name, self) + self.__groups.__setitem__(name, new) + return new + + def get_disjoint_group(self, name: str): + return self.__groups[name] + + def get_groupname(self, __key: Hashable): + return self.__key_groupnames[__key] + + def add_item_to_group(self, groupname, key, value): + current = self.__key_groupnames.get(key, None) + if current is not None and groupname != current: + raise KeyInOtherGroupError("The key '{}' is already used in a different group '{}'".format(key, groupname)) + if groupname is not None: + group = self.__groups[groupname] + group._data.__setitem__(key, value) + self.__key_groupnames[key] = groupname + return self.__data.__setitem__(key, value) + + def move_item_to_group(self, new_group_name, key): + value = self.__data[key] + current = self.get_groupname(key) + if new_group_name is not None: + new_group = self.__groups[new_group_name] + new_group._data[key] = value + if current is not None: + old_group = self.__groups[current] + old_group._data.__delitem__(key) + self.__key_groupnames[key] = new_group_name + + def remove_item_from_group(self, groupname, key): + current = self.__key_groupnames.get(key, None) + if groupname != current: + raise KeyInOtherGroupError("The key '{}' is in a different group '{}'".format(key, groupname)) + if groupname is not None: + self.__groups[groupname]._data.__delitem__(key) + + def __getitem__(self, __key: Any) -> Any: + return self.__data.__getitem__(__key) + + def __setitem__(self, __key: Any, __value: Any) -> None: + current = self.__key_groupnames.get(__key, None) + if current is not None: + self.__groups[current]._data[__key] = __value + return self.__data.__setitem__(__key, __value) + + def __delitem__(self, __key: Any) -> None: + current = self.__key_groupnames.get(__key, None) + if current is not None: + self.__groups[current]._data.__delitem__(__key) + return self.__data.__delitem__(__key) + + def __contains__(self, __key: object) -> bool: + return self.__data.__contains__(__key) + + def __iter__(self) -> Iterator: + return self.__data.__iter__() + + def __len__(self) -> int: + return self.__data.__len__() + + def keys(self) -> KeysView: + return self.__data.keys() + + def items(self) -> ItemsView: + return self.__data.items() + + def values(self) -> ValuesView: + return self.__data.values() + + def clear(self) -> None: + raise RuntimeError("You cannot clear this") + + def popitem(self) -> tuple: + raise RuntimeError("You cannot pop this") + + +class DisjointMappingGroup(MutableMapping): """A dictionary that checks a namespace for existing entries. To create a new instance, pass a set to act as a namespace. If the namespace does not @@ -204,73 +391,62 @@ class DisjointMapping(MutableMapping): """ - __keyspace: dict = None - __data: dict = None + __name: str = None + __keyspace: DisjointMapping = None + _data: dict = None - def __new__(cls, __keyspace: dict, *args, **kwargs): + def __new__(cls, name: str, __keyspace: DisjointMapping): + if name is None: + raise TypeError("A name must be specified") if __keyspace is None: - __keyspace = dict() + raise TypeError("A registry must be specified") newobj = super().__new__(cls) return newobj - def __init__(self, __keyspace, *args, **kwargs): - self.__keyspace = __keyspace - temp = dict(*args, **kwargs) - overlap = set(self.__keyspace.keys()).intersection(temp.keys()) - if overlap: - raise KeyInOtherDictError(overlap) - self.__keyspace.update(temp) - self.__data = temp + def __init__(self, name: str, __keyspace: DisjointMapping): + if name is None: + raise TypeError("A name must be specified") + if __keyspace is None: + raise TypeError("A registry must be specified") + self.__name: str = name + self.__keyspace: DisjointMapping = __keyspace + self._data = dict() def __getitem__(self, __key: Any) -> Any: - try: - return self.__data.__getitem__(__key) - except KeyError as e: - if __key in self.__keyspace.keys(): - raise KeyInOtherDictError(__key) - raise + return self._data[__key] def __setitem__(self, __key: Any, __value: Any) -> None: - if __key not in self.__data.keys() and __key in self.__keyspace.keys(): - raise KeyInOtherDictError(__key) - return self.__data.__setitem__(__key, __value) + return self.__keyspace.add_item_to_group(self.__name, __key, __value) def __delitem__(self, __key: Any) -> None: - if __key not in self.__data.keys() and __key in self.__keyspace.keys(): - raise KeyInOtherDictError(__key) - self.__keyspace.__delitem__(__key) - return self.__data.__delitem__(__key) + return self.__keyspace.remove_item_from_group(self.__name, __key) def __contains__(self, __key: object) -> bool: - return self.__data.__contains__(__key) + return self._data.__contains__(__key) def __iter__(self) -> Iterator: - return self.__data.__iter__() + return self._data.__iter__() def __len__(self) -> int: - return self.__data.__len__() + return self._data.__len__() def keys(self) -> KeysView: - return self.__data.keys() + return self._data.keys() def items(self) -> ItemsView: - return self.__data.items() + return self._data.items() def values(self) -> ValuesView: - return self.__data.values() + return self._data.values() def clear(self) -> None: - for k in self.__data.keys(): - self.__keyspace.__delitem__(k) - return self.__data.clear() + raise RuntimeError("Cannot clear a group") def popitem(self) -> tuple: - (k, v) = self.__data.popitem() - self.__keyspace.__delitem__(k) - return (k, v) + raise RuntimeError("Cannot pop from a group") - def new_disjoint_mapping(self): - return DisjointMapping(self.__keyspace) + def __repr__(self) -> str: + return "{}(name={}, data={})".format(self.__class__.__name__, repr(self.__name), self._data) @dataclass @@ -293,6 +469,9 @@ def symbol(self): def __str__(self) -> str: return self.name + def __hash__(self) -> int: + return hash(str(self)) + @dataclass class ReactionDynamics(ABC): @@ -316,9 +495,11 @@ def to_key(cls, species, location): location = RxnLocType.make(location) return species + "." + location.name.lower() + def __hash__(self) -> int: + return hash(str(self)) -class VariableRegistry(ABC): +class VariableRegistry(ABC): @abstractmethod def variables(self, var_type=None): raise NotImplementedError @@ -333,7 +514,6 @@ def del_variable(self, name: str): class ReactionRegistry(ABC): - @abstractmethod def reactions(self, location=None): raise NotImplementedError @@ -341,7 +521,7 @@ def reactions(self, location=None): @abstractmethod def get_reaction(self, species, location=None) -> List[ReactionDynamics]: raise NotImplementedError - + @abstractmethod def del_reaction(self, species, location=None): raise NotImplementedError @@ -361,6 +541,7 @@ def _variable_registry(self, value): raise TypeError("Linked model must be a RxnModel, got {}".format(type(value))) self.__variable_registry = value + @dataclass class ExpressionMixin(ABC): @@ -369,5 +550,3 @@ class ExpressionMixin(ABC): @abstractmethod def sympify(self): raise NotImplementedError - - diff --git a/wntr/reaction/dynamics.py b/wntr/reaction/dynamics.py index 190f65862..06de1feb1 100644 --- a/wntr/reaction/dynamics.py +++ b/wntr/reaction/dynamics.py @@ -13,7 +13,7 @@ from wntr.reaction.base import RxnVarType from .base import ExpressionMixin, LinkedVariablesMixin, RxnExprType, RxnLocType, VariableRegistry, ReactionDynamics, RxnVarType -from .variables import Coefficient, NamedExpression, Species +from .variables import Coefficient, OtherTerm, Species logger = logging.getLogger(__name__) diff --git a/wntr/reaction/library.py b/wntr/reaction/library.py index cc9e53bad..16c692e67 100644 --- a/wntr/reaction/library.py +++ b/wntr/reaction/library.py @@ -5,21 +5,121 @@ @author: John Burkhart, US EPA ORD """ +from .base import Citation from .model import WaterQualityReactionsModel -nicotine = WaterQualityReactionsModel() -nicotine.options.quality.area_units = 'M2' -nicotine.options.quality.rate_units = 'MIN' +nicotine = WaterQualityReactionsModel( + title="Nicotine - Chlorine reaction", + desc="Values in libarary are for test purposes ONLY. These highlight the reaction form/relationship but not necessarily the specific system kinetics. Citations are provided where appropriate for sources of values or models. In most cases updates will be necessary to use for different models -- That is, sources, pipes, nodes are for a given network, and must be updated for different models.", +) +nicotine.options.quality.area_units = "M2" +nicotine.options.quality.rate_units = "MIN" nicotine.options.time.timestep = 1 -nicotine.add_bulk_species('Nx', unit='MG', note='Nicotine') -nicotine.add_bulk_species('HOCL', unit='MG', note='Free chlorine') -nicotine.add_constant('kd', value=2.33e-3, unit='min^(-1)', note='decay rate') -nicotine.add_constant('K1', value=5.92e-2, unit='L * min^(-1) * mg^(-1)', note='decay constant for chlorine as function of mass(Nic)') -nicotine.add_constant('K2', value=1.84e-1, unit='L * min^(-1) * mg^(-1)', note='decay constant for nicotine as function of mass(Cl)') -nicotine.add_term('RXCL', expr='kd * HOCL + K1 * Nx * HOCL') -nicotine.add_term('RXN', expr='K2 * Nx * HOCL') -nicotine.add_pipe_reaction('rate', 'Nx', expression='-RXN') -nicotine.add_pipe_reaction('rate', 'HOCL', expression='-RXCL') -nicotine.add_tank_reaction('rate', 'Nx', '0') -nicotine.add_tank_reaction('rate', 'HOCL', '0') +nicotine.add_bulk_species("Nx", unit="MG", note="Nicotine") +nicotine.add_bulk_species("HOCL", unit="MG", note="Free chlorine") +nicotine.add_constant_coeff("kd", global_value=2.33e-3, unit="min^(-1)", note="decay rate") +nicotine.add_constant_coeff("K1", global_value=5.92e-2, unit="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") +nicotine.add_constant_coeff("K2", global_value=1.84e-1, unit="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +nicotine.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL") +nicotine.add_other_term("RXN", expression="K2 * Nx * HOCL") +nicotine.add_pipe_reaction("Nx", "rate", expression="-RXN") +nicotine.add_pipe_reaction("HOCL", "rate", expression="-RXCL") +nicotine.add_tank_reaction("Nx", "rate", "0") +nicotine.add_tank_reaction("HOCL", "rate", "0") + +nicotine_ri = WaterQualityReactionsModel( + title="Nicotine - Chlorine reaction with reactive intermediate", +) +# Set options +nicotine_ri.options.quality.area_units = "M2" +nicotine_ri.options.quality.rate_units = "MIN" +nicotine_ri.options.time.timestep = 1 +nicotine_ri.options.quality.atol = 1.0e-10 +nicotine_ri.options.quality.rtol = 1.0e-10 + +# Add species +nicotine_ri.add_bulk_species("Nx", unit="MG", note="Nicotine") +nicotine_ri.add_bulk_species("HOCL", unit="MG", note="Free Chlorine") +nicotine_ri.add_bulk_species("NX2", unit="MG", note="Intermediate Nicotine Reactive") + +# Add coefficients +nicotine_ri.add_constant_coeff("kd", 3.0e-5, note="decay rate", unit="1/min") +nicotine_ri.add_constant_coeff("K1", global_value=9.75e-2, unit="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") +nicotine_ri.add_constant_coeff("K2", global_value=5.73e-1, unit="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +nicotine_ri.add_constant_coeff("K3", global_value=1.34e-2, unit="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") +nicotine_ri.add_constant_coeff("K4", global_value=2.19e-2, unit="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") + +# Add terms (named subexpressions) +nicotine_ri.add_other_term("RXCL", expression="kd*HOCL + K1*Nx*HOCL + K3*NX2*HOCL") +nicotine_ri.add_other_term("RXN", expression="K2*Nx*HOCL") +nicotine_ri.add_other_term("RXNX2", expression="K2*Nx*HOCL - K4*NX2*HOCL") + +# Add pipe reactions, one per species +nicotine_ri.add_pipe_reaction("Nx", "RATE", expression="-RXN") +nicotine_ri.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") +nicotine_ri.add_pipe_reaction("NX2", "RATE", expression="RXNX2") + +# Tank reactions actually aren't necessary since there aren't any wall species +nicotine_ri.add_tank_reaction("Nx", "RATE", expression="-RXN") +nicotine_ri.add_tank_reaction("HOCL", "RATE", expression="-RXCL") +nicotine_ri.add_tank_reaction("NX2", "RATE", expression="RXNX2") + + +lead_ppm = WaterQualityReactionsModel( + title="Lead Plumbosolvency Model (from Burkhardt et al 2020)", + desc="Parameters for EPA HPS Simulator Model", + citations=Citation( + title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", + year=2020, + author=[ + "Jonathan B. Burkhardt", + "Hyoungmin Woo", + "James Mason", + "Feng Shang", + "Simoni Triantafyllidou", + "Michael R. Schock", + "Darren Lytle", + "Regan Murray", + ], + citationtype="article", + journaltitle="J Water Resour Plan Manag", + volume=146, + number=12, + fulldate="2020-12-01", + doi="10.1061/(asce)wr.1943-5452.0001304", + eprint=[ + "PMID:33627937", + "PMCID:PMC7898126", + "NIHMSID:NIHMS1664627", + ], + ), + allow_sympy_reserved_names=True, + options={ + "time": {"timestep": 1}, + "report": { + "species": {"PB2": "YES"}, + "species_precision": {"PB2": 5}, + "nodes": "all", + "links": "all", + }, + "quality": { + "area_units": "M2", + "rate_units": "SEC", + "rtol": 1e-08, + "atol": 1e-08, + }, + }, +) +lead_ppm.options.quality.area_units = "M2" +lead_ppm.options.quality.rate_units = "SEC" +lead_ppm.options.quality.rtol = 1.0e-8 +lead_ppm.options.quality.atol = 1.0e-8 +lead_ppm.options.time.timestep = 1 + +lead_ppm.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") +lead_ppm.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", unit="ug * m^(-1) * s^(-1)") +lead_ppm.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", unit="ug/L") +lead_ppm.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") +lead_ppm.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") +lead_ppm.add_tank_reaction("PB2", "RATE", expression="0") diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index 0ef920278..83313ffe6 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -7,38 +7,74 @@ import logging import warnings from collections.abc import MutableMapping -from dataclasses import InitVar, dataclass, field, asdict +from dataclasses import InitVar, asdict, dataclass, field from enum import Enum, IntFlag from typing import Any, ClassVar, Dict, Generator, Hashable, Iterator, List, Literal, Set, Tuple, Union import sympy -from sympy import Float, Symbol, symbols, init_printing +from sympy import Float, Symbol, init_printing, symbols from sympy.parsing import parse_expr -from sympy.parsing.sympy_parser import standard_transformations, convert_xor +from sympy.parsing.sympy_parser import convert_xor, standard_transformations from wntr.network.model import WaterNetworkModel from wntr.reaction.dynamics import EquilibriumDynamics, FormulaDynamics, RateDynamics -from .base import ReactionDynamics, ReactionVariable, VariableNameExistsError -from .variables import BulkSpecies, Coefficient, Constant, InternalVariable, NamedExpression, Parameter, Species, Term, WallSpecies + +from .base import ( + HYDRAULIC_VARIABLES, + RESERVED_NAMES, + SYMPY_RESERVED, + DisjointMapping, + DisjointMappingGroup, + ReactionDynamics, + ReactionRegistry, + ReactionVariable, + RxnExprType, + RxnLocType, + RxnVarType, + VariableNameExistsError, + VariableRegistry, +) from .options import RxnOptions -from .base import ReactionRegistry, VariableRegistry, RxnExprType, RxnLocType, RxnVarType, DisjointMapping, RESERVED_NAMES, SYMPY_RESERVED +from .variables import BulkSpecies, Coefficient, Constant, InternalVariable, OtherTerm, Parameter, Species, WallSpecies +@dataclass class WaterQualityReactionsModel(ReactionRegistry, VariableRegistry): - def __init__(self, wn: WaterNetworkModel = None, *, title: str = None, desc: str = None, allow_sympy_reserved=False): - self.title: str = title - self.desc: str = desc - self.options = RxnOptions() - self._wn: WaterNetworkModel = wn - - self._variables: Dict[str, ReactionVariable] = dict() - self._species = DisjointMapping(self._variables) - self._coeff = DisjointMapping(self._variables) - self._terms = DisjointMapping(self._variables) - - self._dynamics: Dict[str, ReactionDynamics] = dict() - self._pipe_dynamics = DisjointMapping(self._dynamics) - self._tank_dynamics = DisjointMapping(self._dynamics) + """Water quality reactions model object. + + Parameters + ---------- + title : str + The title of reaction model + desc : str + A long description of the model + citations : + """ + title: str = None + desc: str = None + citations: Union[List[str], str] = "you ought to provide citations for this model" + allow_sympy_reserved_names: InitVar[bool] = False + options: InitVar[RxnOptions] = None + _wn: WaterNetworkModel = None + + def __post_init__(self, allow_sympy_reserved_names=False, options=None): + if self._wn is not None and not isinstance(self._wn, WaterNetworkModel): + raise TypeError("Did not receive a WaterNetworkModel or None as first argument, got {}".format(self._wn)) + if isinstance(options, property): + options = RxnOptions() + elif not isinstance(options, RxnOptions): + options = RxnOptions.factory(options) + self._options = options + if isinstance(self.citations, str): + self.citations = [self.citations] + self._variables: DisjointMapping = DisjointMapping() + self._species = self._variables.add_disjoint_group('species') + self._coeff = self._variables.add_disjoint_group('coeff') + self._terms = self._variables.add_disjoint_group('terms') + + self._dynamics: DisjointMapping = DisjointMapping() + self._pipe_dynamics = self._dynamics.add_disjoint_group('pipe') + self._tank_dynamics = self._dynamics.add_disjoint_group('tank') self._usage: Dict[str, Set[str]] = dict() @@ -46,11 +82,11 @@ def __init__(self, wn: WaterNetworkModel = None, *, title: str = None, desc: str self._inital_quality: Dict[Hashable, float] = dict() self._wn: WaterNetworkModel = None - for name in RESERVED_NAMES: - self._variables[name] = InternalVariable(name) - if not allow_sympy_reserved: + for v in HYDRAULIC_VARIABLES: + self._variables[v['name']] = InternalVariable(v['name'], note=v['note']) + if not allow_sympy_reserved_names: for name in SYMPY_RESERVED: - self._variables[name] = InternalVariable(name) + self._variables[name] = InternalVariable(name, note="sympy reserved name") def _is_variable_registered(self, var_or_name: Union[str, ReactionVariable]) -> bool: name = str(var_or_name) @@ -65,11 +101,11 @@ def variable_name_list(self) -> List[str]: @property def species_name_list(self) -> List[str]: return list(self._species.keys()) - + @property def coefficient_name_list(self) -> List[str]: return list(self._coeff.keys()) - + @property def other_term_name_list(self) -> List[str]: return list(self._terms.keys()) @@ -81,14 +117,16 @@ def variables(self, var_type=None): continue yield k, v - def add_species(self, species_type: Union[str, Literal[RxnVarType.BULK], Literal[RxnVarType.WALL]], name: str, unit: str, atol: float = None, rtol: float = None, note: str = None) -> Species: + def add_species( + self, species_type: Union[str, Literal[RxnVarType.BULK], Literal[RxnVarType.WALL]], name: str, unit: str, atol: float = None, rtol: float = None, note: str = None + ) -> Species: species_type = RxnVarType.make(species_type) if species_type not in [RxnVarType.BULK, RxnVarType.WALL]: - raise ValueError('Species must be BULK or WALL, got {:s}'.format(species_type)) + raise ValueError("Species must be BULK or WALL, got {:s}".format(species_type)) if self._is_variable_registered(name): - raise VariableNameExistsError('The variable {} already exists in this model'.format(name)) + raise VariableNameExistsError("The variable {} already exists in this model".format(name)) if (atol is None) ^ (rtol is None): - raise TypeError('atol and rtol must be the same type, got {} and {}'.format(atol, rtol)) + raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) if species_type is RxnVarType.BULK: var = BulkSpecies(name, unit, atol, rtol, note, self) elif species_type is RxnVarType.WALL: @@ -102,12 +140,14 @@ def add_bulk_species(self, name: str, unit: str, atol: float = None, rtol: float def add_wall_species(self, name: str, unit: str, atol: float = None, rtol: float = None, note: str = None) -> WallSpecies: return self.add_species(RxnVarType.WALL, name, unit, atol, rtol, note) - def add_coefficient(self, coeff_type: Union[str, Literal[RxnVarType.CONST], Literal[RxnVarType.PARAM]], name: str, global_value: float, note: str=None, unit: str=None, **kwargs) -> Coefficient: + def add_coefficient( + self, coeff_type: Union[str, Literal[RxnVarType.CONST], Literal[RxnVarType.PARAM]], name: str, global_value: float, note: str = None, unit: str = None, **kwargs + ) -> Coefficient: coeff_type = RxnVarType.make(coeff_type) if coeff_type not in [RxnVarType.CONST, RxnVarType.PARAM]: - raise ValueError('Species must be CONST or PARAM, got {:s}'.format(coeff_type)) + raise ValueError("Species must be CONST or PARAM, got {:s}".format(coeff_type)) if self._is_variable_registered(name): - raise VariableNameExistsError('The variable {} already exists in this model'.format(name)) + raise VariableNameExistsError("The variable {} already exists in this model".format(name)) if coeff_type is RxnVarType.CONST: var = Constant(name=name, global_value=global_value, note=note, unit=unit, variable_registry=self) elif coeff_type is RxnVarType.PARAM: @@ -115,16 +155,18 @@ def add_coefficient(self, coeff_type: Union[str, Literal[RxnVarType.CONST], Lite self._coeff[name] = var return var - def add_constant_coeff(self, name: str, global_value: float, note: str=None, unit: str=None) -> Constant: + def add_constant_coeff(self, name: str, global_value: float, note: str = None, unit: str = None) -> Constant: return self.add_coefficient(RxnVarType.CONST, name=name, global_value=global_value, note=note, unit=unit) - def add_parameterized_coeff(self, name: str, global_value: float, note: str=None, unit: str=None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None) -> Parameter: + def add_parameterized_coeff( + self, name: str, global_value: float, note: str = None, unit: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None + ) -> Parameter: return self.add_coefficient(RxnVarType.PARAM, name=name, global_value=global_value, note=note, unit=unit, _pipe_values=pipe_values, _tank_values=tank_values) - def add_other_term(self, name: str, expression: str, note: str = None) -> NamedExpression: + def add_other_term(self, name: str, expression: str, note: str = None) -> OtherTerm: if self._is_variable_registered(name): - raise VariableNameExistsError('The variable {} already exists in this model'.format(name)) - var = NamedExpression(name=name, expression=expression, note=note, variable_registry=self) + raise VariableNameExistsError("The variable {} already exists in this model".format(name)) + var = OtherTerm(name=name, expression=expression, note=note, variable_registry=self) self._terms[name] = var return var @@ -146,7 +188,7 @@ def add_reaction(self, location: RxnLocType, species: Union[str, Species], dynam species = str(species) _key = ReactionDynamics.to_key(species, location) if _key in self._dynamics.keys(): - raise RuntimeError('The species {} already has a {} reaction defined. Use set_reaction instead.') + raise RuntimeError("The species {} already has a {} reaction defined. Use set_reaction instead.") dynamics = RxnExprType.make(dynamics) new = None if dynamics is RxnExprType.EQUIL: @@ -156,13 +198,13 @@ def add_reaction(self, location: RxnLocType, species: Union[str, Species], dynam elif dynamics is RxnExprType.FORMULA: new = FormulaDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) else: - raise ValueError('Invalid dynamics type, {}'.format(dynamics)) + raise ValueError("Invalid dynamics type, {}".format(dynamics)) if location is RxnLocType.PIPE: self._pipe_dynamics[str(new)] = new elif location is RxnLocType.TANK: self._tank_dynamics[str(new)] = new else: - raise ValueError('Invalid location type, {}'.format(location)) + raise ValueError("Invalid location type, {}".format(location)) return new def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnExprType], expression: str, note: str = None) -> ReactionDynamics: @@ -171,13 +213,13 @@ def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, i def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnExprType], expression: str, note: str = None) -> ReactionDynamics: return self.add_reaction(RxnLocType.TANK, species=species, dynamics=dynamics, expression=expression, note=note) - def del_reaction(self, species: Union[str, Species], location: Union[str, int, RxnLocType, Literal['all']]): - if location != 'all': + def del_reaction(self, species: Union[str, Species], location: Union[str, int, RxnLocType, Literal["all"]]): + if location != "all": location = RxnLocType.make(location) species = str(species) if location is None: raise TypeError('location cannot be None when removing a reaction. Use "all" for all locations.') - elif location == 'all': + elif location == "all": name = ReactionDynamics.to_key(species, RxnLocType.PIPE) try: self._pipe_dynamics.__delitem__(name) @@ -201,8 +243,8 @@ def del_reaction(self, species: Union[str, Species], location: Union[str, int, R except KeyError: pass else: - raise ValueError('Invalid location, {}'.format(location)) - + raise ValueError("Invalid location, {}".format(location)) + def get_reaction(self, species, location): species = str(species) location = RxnLocType.make(location) diff --git a/wntr/reaction/options.py b/wntr/reaction/options.py index 7a5393170..2c2e226ee 100644 --- a/wntr/reaction/options.py +++ b/wntr/reaction/options.py @@ -215,8 +215,7 @@ class RxnOptions(_OptionsBase): """ - def __init__(self, title: str = None, time: TimeOptions = None, report: ReportOptions = None, quality: QualityOptions = None, user: UserOptions = None): - self.title = (title,) + def __init__(self, time: TimeOptions = None, report: ReportOptions = None, quality: QualityOptions = None, user: UserOptions = None): self.time = TimeOptions.factory(time) self.report = ReportOptions.factory(report) self.quality = QualityOptions.factory(quality) @@ -237,7 +236,8 @@ def __setattr__(self, name, value): value = QualityOptions.factory(value) elif name == "user": value = UserOptions.factory(value) - elif name not in ["title"]: + else: + # elif name not in ["title"]: raise ValueError("%s is not a valid member of WaterNetworkModel") self.__dict__[name] = value diff --git a/wntr/reaction/variables.py b/wntr/reaction/variables.py index ab79dc535..f093704a9 100644 --- a/wntr/reaction/variables.py +++ b/wntr/reaction/variables.py @@ -3,6 +3,7 @@ from dataclasses import InitVar, asdict, dataclass, field from enum import Enum, IntFlag from typing import Any, ClassVar, Dict, List, Set, Tuple, Union +import warnings import sympy from sympy import Float, Function, Symbol, init_printing, symbols @@ -26,12 +27,14 @@ class Species(LinkedVariablesMixin, ReactionVariable): variable_registry: InitVar[VariableRegistry] = None def __post_init__(self, atol=None, rtol=None, reaction_model=None): - if isinstance(atol, property): atol=None - if isinstance(rtol, property): rtol=None + if isinstance(atol, property): + atol = None + if isinstance(rtol, property): + rtol = None if self.name in RESERVED_NAMES: - raise ValueError('Name cannot be a reserved name') + raise ValueError("Name cannot be a reserved name") if (atol is None) ^ (rtol is None): - raise TypeError('atol and rtol must be the same type, got {} and {}'.format(atol, rtol)) + raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) self._atol = atol self._rtol = rtol self._variable_registry = reaction_model @@ -39,7 +42,7 @@ def __post_init__(self, atol=None, rtol=None, reaction_model=None): @property def atol(self) -> float: return self._atol - + @property def rtol(self) -> float: return self._rtol @@ -59,7 +62,7 @@ def set_tolerances(self, atol: float, rtol: float): if not isinstance(rtol, float): rtol = float(rtol) except Exception as e: - raise TypeError('atol and rtol must be the same type, got {} and {}'.format(atol, rtol)) + raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) if atol <= 0: raise ValueError("Absolute tolerance atol must be greater than 0") if rtol <= 0: @@ -74,9 +77,9 @@ def to_msx_string(self) -> str: tols = self.get_tolerances() if tols is None: # tolstr = "{:<12s} {:<12s}".format("", "") - tolstr = '' + tolstr = "" else: - #tolstr = "{:12.6g} {:12.6g}".format(*tols) + # tolstr = "{:12.6g} {:12.6g}".format(*tols) tolstr = "{} {}".format(*tols) # return "{:<4s} {:<32s} {:s} {:s} ;{:s}".format( return "{:s} {:s} {:s} {:s} ;{:s}".format( @@ -88,9 +91,7 @@ def to_msx_string(self) -> str: ) def __repr__(self): - return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format( - self.__class__.__name__, repr(self.name), repr(self.unit), self.atol, self.rtol, repr(self.note) - ) + return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.unit), self.atol, self.rtol, repr(self.note)) @dataclass(repr=False) @@ -117,7 +118,7 @@ class Coefficient(LinkedVariablesMixin, ReactionVariable): def __post_init__(self, reaction_model): if self.name in RESERVED_NAMES: - raise ValueError('Name cannot be a reserved name') + raise ValueError("Name cannot be a reserved name") self._variable_registry = reaction_model def get_value(self) -> float: @@ -165,21 +166,21 @@ def get_value(self, pipe: str = None, tank: str = None) -> float: @property def pipe_values(self) -> Dict[str, float]: return self._pipe_values - + @property def tank_values(self) -> Dict[str, float]: return self._tank_values @dataclass(repr=False) -class NamedExpression(LinkedVariablesMixin, ExpressionMixin, ReactionVariable): +class OtherTerm(LinkedVariablesMixin, ExpressionMixin, ReactionVariable): note: str = None variable_registry: InitVar[VariableRegistry] = field(default=None, compare=False) def __post_init__(self, reaction_model): if self.name in RESERVED_NAMES: - raise ValueError('Name cannot be a reserved name') + raise ValueError("Name cannot be a reserved name") self._variable_registry = reaction_model @property @@ -196,17 +197,18 @@ def __repr__(self): return "{}(name={}, expression={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.expression), repr(self.note)) -Term = NamedExpression - - +@dataclass(repr=False) class InternalVariable(ReactionVariable): + note: str = "internal variable - not output to MSX" + unit: str = None + @property def var_type(self) -> RxnVarType: return RxnVarType.INTERNAL def to_msx_string(self) -> str: - raise TypeError("InternalVariable is not output to an MSX input file") + raise TypeError("An InternalVariable is not part of an MSX input file") def __repr__(self): - return "{}(name={})".format(self.__class__.__name__, repr(self.name)) + return "{}(name={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.note)) diff --git a/wntr/tests/test_reactions.py b/wntr/tests/test_reactions.py index 63fe33b9e..75cc7fcc3 100644 --- a/wntr/tests/test_reactions.py +++ b/wntr/tests/test_reactions.py @@ -28,7 +28,7 @@ def test_ReactionVariable_reserved_name_exception(self): self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Q", "mg") self.assertRaises(ValueError, wntr.reaction.model.Constant, "Re", 0.52) self.assertRaises(ValueError, wntr.reaction.model.Parameter, "Re", 0.52) - self.assertRaises(ValueError, wntr.reaction.model.NamedExpression, "Re", 0.52) + self.assertRaises(ValueError, wntr.reaction.model.OtherTerm, "Re", 0.52) def test_RxnVariable_symbols_and_sympy(self): species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") @@ -43,7 +43,7 @@ def test_RxnVariable_symbols_and_sympy(self): symbol3 = sympy.symbols("Ka") self.assertEqual(param1.symbol, symbol3) - term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") + term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") symbol4 = sympy.symbols("T0") self.assertEqual(term1.symbol, symbol4) @@ -64,7 +64,7 @@ def test_RxnVariable_string_functions(self): species2 = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") const1 = wntr.reaction.model.Constant("Kb", 0.482) param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") + term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(str(species1), "Cl") self.assertEqual(species1.to_msx_string(), "BULK Cl mg ;") @@ -167,9 +167,9 @@ def test_Parameter_creation(self): self.assertDictEqual(param2.tank_values, test_tank_dict) def test_RxnTerm_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.NamedExpression, "Re") - self.assertRaises(ValueError, wntr.reaction.model.NamedExpression, "Re", "1.0*Re") - term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") + self.assertRaises(TypeError, wntr.reaction.model.OtherTerm, "Re") + self.assertRaises(ValueError, wntr.reaction.model.OtherTerm, "Re", "1.0*Re") + term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(term1.name, "T0") self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") self.assertEqual(term1.var_type, wntr.reaction.model.RxnVarType.TERM) @@ -208,7 +208,7 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const1 = wntr.reaction.model.Constant("Kb", 0.482) param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") + term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") equil1 = wntr.reaction.model.EquilibriumDynamics(bulk1, wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") rate1 = wntr.reaction.model.RateDynamics(bulk1, wntr.reaction.model.RxnLocType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") formula1 = wntr.reaction.model.FormulaDynamics(wall1, wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") @@ -235,7 +235,7 @@ def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const1 = wntr.reaction.model.Constant("Kb", 0.482) param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.NamedExpression("T0", "-3.2 * Kb * Cl^2", note="bar") + term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") rxn_model2 = wntr.reaction.model.WaterQualityReactionsModel() From 489236375097e11c145920d5b3d1d9956e5762bb Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 28 Aug 2023 10:06:06 -0600 Subject: [PATCH 009/118] Updates to read things in - there are bugs --- wntr/reaction/io.py | 300 ++++++++++++++++++++++++++++++++++++- wntr/reaction/model.py | 8 +- wntr/reaction/variables.py | 6 + 3 files changed, 308 insertions(+), 6 deletions(-) diff --git a/wntr/reaction/io.py b/wntr/reaction/io.py index 54e6a77a6..fbb8cd302 100644 --- a/wntr/reaction/io.py +++ b/wntr/reaction/io.py @@ -2,30 +2,320 @@ import sys import logging +from wntr.network.elements import Source + +from wntr.reaction.model import WaterQualityReactionsModel +from wntr.reaction.variables import Parameter, Species sys_default_enc = sys.getdefaultencoding() logger = logging.getLogger(__name__) +_INP_SECTIONS = [ + "[TITLE]", + "[OPTIONS]", + "[SPECIES]", + "[COEFFICIENTS]", + "[TERMS]", + "[PIPES]", + "[TANKS]", + "[SOURCES]", + "[QUALITY]", + "[PARAMETERS]", + "[DIFFUSIVITY]", + "[PATTERNS]", + "[REPORT]", +] + + +def _split_line(line): + _vc = line.split(";", 1) + _cmnt = None + _vals = None + if len(_vc) == 0: + pass + elif len(_vc) == 1: + _vals = _vc[0].split() + elif _vc[0] == "": + _cmnt = _vc[1] + else: + _vals = _vc[0].split() + _cmnt = _vc[1] + return _vals, _cmnt + class MsxFile(object): - def __init__(self): - pass + self.sections = dict() + for sec in _INP_SECTIONS: + self.sections[sec] = [] + self.top_comments = [] + self.patterns = dict() def read(self, msx_file, rxn_model=None): - pass + """ + Read an EPANET-MSX input file (.msx) and load data into a water quality + reactions model. Only MSX 2.0 files are recognized. + + + """ + if rxn_model is None: + rxn_model = WaterQualityReactionsModel() + self.rxn = rxn_model + # if not isinstance(msx_file, list): + # msx_file = [msx_file] + rxn_model.filename = msx_file + + self.patterns = dict() + self.top_comments = [] + self.sections = dict() + for sec in _INP_SECTIONS: + self.sections[sec] = [] + + section = None + lnum = 0 + edata = {"fname": msx_file} + with open(msx_file, "r", encoding=sys_default_enc) as f: + for line in f: + lnum += 1 + edata["lnum"] = lnum + line = line.strip() + nwords = len(line.split()) + if len(line) == 0 or nwords == 0: + # Blank line + continue + elif line.startswith("["): + vals = line.split(None, 1) + sec = vals[0].upper() + # Add handlers to deal with extra 'S'es (or missing 'S'es) in INP file + if sec not in _INP_SECTIONS: + trsec = sec.replace("]", "S]") + if trsec in _INP_SECTIONS: + sec = trsec + if sec not in _INP_SECTIONS: + trsec = sec.replace("S]", "]") + if trsec in _INP_SECTIONS: + sec = trsec + edata["sec"] = sec + if sec in _INP_SECTIONS: + section = sec + # logger.info('%(fname)s:%(lnum)-6d %(sec)13s section found' % edata) + continue + elif sec == "[END]": + # logger.info('%(fname)s:%(lnum)-6d %(sec)13s end of file found' % edata) + section = None + break + else: + raise RuntimeError('%(fname)s:%(lnum)d: Invalid section "%(sec)s"' % edata) + elif section is None and line.startswith(";"): + self.top_comments.append(line[1:]) + continue + elif section is None: + logger.debug("Found confusing line: %s", repr(line)) + raise RuntimeError("%(fname)s:%(lnum)d: Non-comment outside of valid section!" % edata) + # We have text, and we are in a section + self.sections[section].append((lnum, line)) + + self._read_title() + self._read_options() + self._read_species() + self._read_coefficients() + self._read_terms() + self._read_pipes() + self._read_tanks() + self._read_sources() + self._read_quality() + self._read_parameters() + self._read_diffusivity() + self._read_patterns() + self._read_report() + return self.rxn + + def _read_title(self): + lines = [] + for lnum, line in self.sections['[TITLE]']: + line = line.split(';')[0] + current = line.split() + if current == []: + continue + lines.append(line) + if len(lines) > 0: + self.rxn.title = lines[0] + if len(lines) > 1: + self.rxn.desc = '\n'.join(lines[1:]) + + def _read_options(self): + lines = [] + for lnum, line in self.sections['[OPTIONS]']: + vals, comment = _split_line(line) + if len(vals) != 2: + raise RuntimeError('Invalid options line: "{}"'.format(line)) + name, val = vals[0].upper(), vals[1].upper() + try: + if name == 'AREA_UNITS': + self.rxn._options.quality.area_units = val + elif name == 'RATE_UNITS': + self.rxn._options.quality.rate_units = val + elif name == 'SOLVER': + self.rxn._options.quality.solver = val + elif name == 'COUPLING': + self.rxn._options.quality.coupling = val + elif name == 'TIMESTEP': + self.rxn._options.time.timestep = int(val) + elif name == 'ATOL': + self.rxn._options.quality.atol = float(val) + elif name == 'RTOL': + self.rxn._options.quality.rtol = float(val) + elif name == 'COMPILER': + self.rxn._options.quality.compiler = val + elif name == 'SEGMENTS': + self.rxn._options.quality.segments = int(val) + elif name == 'PECLET': + self.rxn._options.quality.peclet = int(val) + except Exception as e: + raise ('Error in options line: "{}"'.format(line)) from e + + def _read_species(self): + lines = [] + for lnum, line in self.sections['[SPECIES]']: + vals, comment = _split_line(line) + if len(vals) not in [3, 5]: + raise RuntimeError('Invalid species line: "{}"'.format(line)) + try: + if len(vals) == 3: + species = self.rxn.add_species(vals[0], vals[1], vals[2], note=comment) + elif len(vals) == 5: + species = self.rxn.add_species(vals[0], vals[1], vals[2], float(vals[3]), float(vals[4]), note=comment) + except Exception as e: + raise RuntimeError('Invalid species line: "{}"'.format(line)) from e + + def _read_coefficients(self): + lines = [] + for lnum, line in self.sections['[COEFFICIENTS]']: + vals, comment = _split_line(line) + if len(vals) != 3: + raise RuntimeError('Invalid coefficient line: "{}"'.format(line)) + try: + coeff = self.rxn.add_coefficient(vals[0], vals[1], float(vals[2]), note=comment) + except Exception as e: + raise RuntimeError('Invalid coefficient line: "{}"'.format(line)) from e + + def _read_terms(self): + lines = [] + for lnum, line in self.sections['[TERMS]']: + vals, comment = _split_line(line) + if len(vals) < 2: + raise RuntimeError('Invalid term line: "{}"'.format(line)) + term = self.rxn.add_other_term(vals[0], ' '.join(vals[1:]), note=comment) + + def _read_pipes(self): + lines = [] + for lnum, line in self.sections['[PIPES]']: + vals, comment = _split_line(line) + if len(vals) < 3: + raise RuntimeError('Invalid tanks line: "{}"'.format(line)) + reaction = self.rxn.add_pipe_reaction(vals[0], vals[1], vals[2:], note=comment) + + def _read_tanks(self): + lines = [] + for lnum, line in self.sections['[TANKS]']: + vals, comment = _split_line(line) + if len(vals) < 3: + raise RuntimeError('Invalid tanks line: "{}"'.format(line)) + reaction = self.rxn.add_tank_reaction(vals[0], vals[1], vals[2:], note=comment) + + def _read_sources(self): + lines = [] + for lnum, line in self.sections['[SOURCES]']: + vals, comment = _split_line(line) + try: + if len(vals) == 4: + typ, node, spec, strength = vals + pat = None + else: + typ, node, spec, strength, pat = vals + source = Source(None, name=spec, node_name=node, source_type=typ, strength=strength, pattern=pat) + self.rxn._sources['{}:{}:{}'.format(typ,node,spec)] = source + except Exception as e: + raise RuntimeError('Invalid sources line: "{}"'.format(line)) from e + + def _read_quality(self): + lines = [] + for lnum, line in self.sections['[QUALITY]']: + vals, comment = _split_line(line) + self.rxn._inital_quality.extend(lines) + + def _read_parameters(self): + lines = [] + for lnum, line in self.sections['[PARAMETERS]']: + vals, comment = _split_line(line) + try: + typ, netid, paramid, value = vals + coeff = self.rxn.get_variable(paramid) + if not isinstance(coeff, Parameter): + raise RuntimeError('Invalid parameter {}'.format(paramid)) + value = float(value) + if typ.lower()[0] == 'p': + coeff.pipe_values[netid] = vals + elif typ.lower()[0] == 't': + coeff.tank_values[netid] = vals + else: + raise RuntimeError('Invalid parameter type {}'.format(typ)) + except Exception as e: + raise RuntimeError('Invalid parameters line: "{}"'.format(line)) from e + + def _read_diffusivity(self): + lines = [] + for lnum, line in self.sections['[DIFFUSIVITY]']: + vals, comment = _split_line(line) + if len(vals) != 2: + raise RuntimeError('Error in diffusivity line: "{}"'.format(line)) + try: + species = self.rxn.get_variable(vals[0]) + except: + raise RuntimeError('Invalid species {} in diffusivity line: "{}"'.format(vals[0], line)) + if not isinstance(species, Species): + raise RuntimeError('Invalid species {} in diffusivity line: "{}"'.format(vals[0], line)) + try: + species.diffusivity = float(vals[1]) + except Exception as e: + raise RuntimeError('Error in diffusivity line: "{}"'.format(line)) from e + + def _read_patterns(self): + _patterns = dict() + for lnum, line in self.sections['[PATTERNS]']: + # read the lines for each pattern -- patterns can be multiple lines of arbitrary length + line = line.split(';')[0] + current = line.split() + if current == []: + continue + pattern_name = current[0] + if pattern_name not in _patterns: + _patterns[pattern_name] = [] + for i in current[1:]: + _patterns[pattern_name].append(float(i)) + else: + for i in current[1:]: + _patterns[pattern_name].append(float(i)) + for pattern_name, pattern in _patterns.items(): + # add the patterns to the water newtork model + self.rxn.add_pattern(pattern_name, pattern) + + + def _read_report(self): + lines = [] + for lnum, line in self.sections['[REPORT]']: + vals, comment = _split_line(line) + self.rxn._report.extend(lines) def write(self, filename, rxn_model): pass - class MsxBinFile(object): def __init__(self): pass def read(self, filename): pass - diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index 83313ffe6..48581f534 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -50,6 +50,7 @@ class WaterQualityReactionsModel(ReactionRegistry, VariableRegistry): A long description of the model citations : """ + filename: str = None title: str = None desc: str = None citations: Union[List[str], str] = "you ought to provide citations for this model" @@ -79,8 +80,10 @@ def __post_init__(self, allow_sympy_reserved_names=False, options=None): self._usage: Dict[str, Set[str]] = dict() self._sources: Dict[str, float] = dict() - self._inital_quality: Dict[Hashable, float] = dict() + self._inital_quality = list() self._wn: WaterNetworkModel = None + self._patterns: Dict[str, Any] = dict() + self._report = list() for v in HYDRAULIC_VARIABLES: self._variables[v['name']] = InternalVariable(v['name'], note=v['note']) @@ -270,3 +273,6 @@ def options(self, value): def link_water_network_model(self, wn: WaterNetworkModel): self._wn = wn + + def add_pattern(self, name, pat): + self._patterns[name] = pat \ No newline at end of file diff --git a/wntr/reaction/variables.py b/wntr/reaction/variables.py index f093704a9..1037d7d5b 100644 --- a/wntr/reaction/variables.py +++ b/wntr/reaction/variables.py @@ -24,13 +24,18 @@ class Species(LinkedVariablesMixin, ReactionVariable): atol: InitVar[float] = None rtol: InitVar[float] = None note: str = None + diffusivity: float = None variable_registry: InitVar[VariableRegistry] = None def __post_init__(self, atol=None, rtol=None, reaction_model=None): if isinstance(atol, property): atol = None + elif atol is not None: + atol = float(atol) if isinstance(rtol, property): rtol = None + elif rtol is not None: + rtol = float(rtol) if self.name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") if (atol is None) ^ (rtol is None): @@ -119,6 +124,7 @@ class Coefficient(LinkedVariablesMixin, ReactionVariable): def __post_init__(self, reaction_model): if self.name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") + self.global_value = float(self.global_value) self._variable_registry = reaction_model def get_value(self) -> float: From 3649f605ced34f071c20b6e33433cfec9c0eb156 Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 29 Aug 2023 17:02:08 -0600 Subject: [PATCH 010/118] Updates to documentation and completing the I/O --- documentation/apidoc/wntr.reaction.base.rst | 7 + .../apidoc/wntr.reaction.dynamics.rst | 7 + .../apidoc/wntr.reaction.options.rst | 7 + documentation/apidoc/wntr.reaction.rst | 3 + .../apidoc/wntr.reaction.variables.rst | 7 + wntr/reaction/__init__.py | 6 +- wntr/reaction/base.py | 482 +++++++++----- wntr/reaction/dynamics.py | 211 +++++-- wntr/reaction/io.py | 304 ++++++--- wntr/reaction/library.py | 100 +-- wntr/reaction/model.py | 596 +++++++++++++++--- wntr/reaction/options.py | 104 ++- wntr/reaction/toolkitmsx.py | 8 +- wntr/reaction/variables.py | 251 ++++++-- wntr/tests/test_reactions.py | 54 +- wntr/utils/citations.py | 116 ++++ 16 files changed, 1694 insertions(+), 569 deletions(-) create mode 100644 documentation/apidoc/wntr.reaction.base.rst create mode 100644 documentation/apidoc/wntr.reaction.dynamics.rst create mode 100644 documentation/apidoc/wntr.reaction.options.rst create mode 100644 documentation/apidoc/wntr.reaction.variables.rst create mode 100644 wntr/utils/citations.py diff --git a/documentation/apidoc/wntr.reaction.base.rst b/documentation/apidoc/wntr.reaction.base.rst new file mode 100644 index 000000000..6263973e7 --- /dev/null +++ b/documentation/apidoc/wntr.reaction.base.rst @@ -0,0 +1,7 @@ +wntr.reaction.base module +========================== + +.. automodule:: wntr.reaction.base + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.dynamics.rst b/documentation/apidoc/wntr.reaction.dynamics.rst new file mode 100644 index 000000000..a1f8ae82a --- /dev/null +++ b/documentation/apidoc/wntr.reaction.dynamics.rst @@ -0,0 +1,7 @@ +wntr.reaction.dynamics module +============================== + +.. automodule:: wntr.reaction.dynamics + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.options.rst b/documentation/apidoc/wntr.reaction.options.rst new file mode 100644 index 000000000..8d461d5b6 --- /dev/null +++ b/documentation/apidoc/wntr.reaction.options.rst @@ -0,0 +1,7 @@ +wntr.reaction.options module +============================ + +.. automodule:: wntr.reaction.options + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.rst b/documentation/apidoc/wntr.reaction.rst index d8b61ab22..cf0d7e3d1 100644 --- a/documentation/apidoc/wntr.reaction.rst +++ b/documentation/apidoc/wntr.reaction.rst @@ -12,8 +12,11 @@ Submodules .. toctree:: :maxdepth: 4 + wntr.reaction.base + wntr.reaction.dynamics wntr.reaction.io wntr.reaction.library wntr.reaction.model wntr.reaction.options wntr.reaction.toolkitmsx + wntr.reaction.variables diff --git a/documentation/apidoc/wntr.reaction.variables.rst b/documentation/apidoc/wntr.reaction.variables.rst new file mode 100644 index 000000000..9a7d32b2e --- /dev/null +++ b/documentation/apidoc/wntr.reaction.variables.rst @@ -0,0 +1,7 @@ +wntr.reaction.variables module +============================== + +.. automodule:: wntr.reaction.variables + :members: + :undoc-members: + :show-inheritance: diff --git a/wntr/reaction/__init__.py b/wntr/reaction/__init__.py index 71fab1e33..d8a87d3b8 100644 --- a/wntr/reaction/__init__.py +++ b/wntr/reaction/__init__.py @@ -5,8 +5,4 @@ # pyomo.dae # sympy -from . import model, io, options, toolkitmsx -# from . import library -# from . import msx_toolkit -# from . import MSXPY_toolkit -# from . import msx_tools \ No newline at end of file +from . import base, dynamics, model, io, options, toolkitmsx, variables, library diff --git a/wntr/reaction/base.py b/wntr/reaction/base.py index c95521f03..c01012af6 100644 --- a/wntr/reaction/base.py +++ b/wntr/reaction/base.py @@ -1,17 +1,47 @@ +# -*- coding: utf-8 -*- + +""" +The base classes for the the wntr.reaction module. +Other than the enum classes, the classes in this module are all abstract +and/or mixin classes, and should not be instantiated directly. +""" + import abc -from abc import ABC, abstractmethod, abstractproperty -from collections.abc import MutableMapping import enum import logging -from dataclasses import InitVar, asdict, dataclass, field +from abc import ABC, abstractmethod, abstractproperty +from collections.abc import MutableMapping +from dataclasses import InitVar, dataclass from enum import Enum, IntFlag -from typing import Any, ClassVar, Dict, Generator, ItemsView, Iterator, KeysView, List, Set, Tuple, Union, ValuesView, Hashable -import datetime - -import sympy -from sympy import Float, Symbol, init_printing, symbols, Function -from sympy.parsing import parse_expr -from sympy.parsing.sympy_parser import convert_xor, standard_transformations +from typing import ( + Any, + ClassVar, + Dict, + Generator, + Hashable, + ItemsView, + Iterator, + KeysView, + List, + Set, + Tuple, + Union, + ValuesView, +) + +has_sympy = False +try: + from sympy import Float, Symbol, init_printing, symbols + from sympy.parsing import parse_expr + from sympy.parsing.sympy_parser import convert_xor, standard_transformations + + has_sympy = True +except ImportError: + sympy = None + logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") + standard_transformations = (None,) + convert_xor = None + has_sympy = False from wntr.network.model import WaterNetworkModel @@ -33,109 +63,52 @@ {"name": "Av", "note": "Surface area per unit volume (area units/L) "}, {"name": "Len", "note": "Pipe length (feet or meters)"}, ] -RESERVED_NAMES = tuple([v['name'] for v in HYDRAULIC_VARIABLES]) +"""The hydraulic variables defined in EPANET-MSX""" + +RESERVED_NAMES = tuple([v["name"] for v in HYDRAULIC_VARIABLES]) +"""The MSX reserved names as a tuple""" + SYMPY_RESERVED = ("E", "I", "pi") -EXPR_TRANSFORMS = standard_transformations + (convert_xor,) +"""Some extra names reserved by sympy""" -@dataclass -class Citation: - title: str - year: int - author: str = None - - # citation type/subtype (e.g., "report"/"tech. rep.") - citationtype: str = 'misc' - citationsubtype: str = None - - # document identifiers - doi: str = None - url: str = None - isrn: str = None - isbn: str = None - issn: str = None - eprint: str = None - - # container titles - journaltitle: str = None - maintitle: str = None - booktitle: str = None - issuetitle: str = None - - # conference/proceedings info - eventtitle: str = None - eventdate: datetime.date = None - venue: str = None - - # publishing info - institution: str = None - organization: str = None - publisher: str = None - location: str = None - howpublished: str = None - language: str = None - origlanguage: str = None - - # additional people - editor: str = None - bookauthor: str = None - translator: str = None - annotator: str = None - commentator: str = None - introduction: str = None - foreword: str = None - afterword: str = None - - # identifying info - issue: str = None - series: str = None - volume: str = None - number: str = None - part: str = None - edition: str = None - version: str = None - chapter: str = None - pages: str = None - volumes: str = None - pagetotal: str = None - - # dates - month: str = None - fulldate: datetime.date = None - urldate: datetime.date = None - - # extra - note: str = None - addendum: str = None - abstract: str = None - annotation: str = None +EXPR_TRANSFORMS = standard_transformations + (convert_xor,) +"""The sympy transforms to use in expression parsing""" class KeyInOtherGroupError(KeyError): + """The key exists but is in a different disjoint group""" + pass class VariableNameExistsError(KeyError): + """The name already exists in the reaction model""" + pass -class RxnVarType(Enum): +class RxnVariableType(Enum): """The type of reaction variable. - .. rubric:: Valid Values - - The following types are defined, and aliases of the first character + The following types are defined, and aliases of just the first character are also defined. + .. rubric:: Valid Values + .. autosummary:: - Bulk - Wall - Constant - Parameter - Term + BULK + WALL + CONSTANT + PARAMETER + TERM + INTERNAL - Species - Coeff + .. rubric:: Class methods + + .. autosummary:: + + factory """ @@ -150,27 +123,46 @@ class RxnVarType(Enum): TERM = 16 """A term that is aliased for ease of writing expressions""" INTERNAL = 32 - """An internal variable - see RESERVED_NAMES""" + """An internal variable - see :attr:`~wntr.reaction.base.RESERVED_NAMES`""" B = BULK - """Alias for :attr:`Bulk`""" + """Alias for :attr:`BULK`""" W = WALL - """Alias for :attr:`Wall`""" + """Alias for :attr:`WALL`""" C = CONSTANT - """Alias for :attr:`Constant`""" + """Alias for :attr:`CONSTANT`""" P = PARAMETER - """Alias for :attr:`Parameter`""" + """Alias for :attr:`PARAMETER`""" T = TERM - """Alias for :attr:`Term`""" + """Alias for :attr:`TERM`""" I = INTERNAL - """Alias for :attr:`Internal`""" + """Alias for :attr:`INTERNAL`""" CONST = CONSTANT - """Alias for :attr:`Constant`""" + """Alias for :attr:`CONSTANT`""" PARAM = PARAMETER - """Alias for :attr:`Parameter`""" + """Alias for :attr:`PARAMETER`""" @classmethod - def make(cls, value: Union[str, int, "RxnVarType"]): + def factory(cls, value: Union[str, int, "RxnVariableType"]) -> "RxnVariableType": + """Convert a value to a valid RxnVariableType. + + Parameters + ---------- + value : str or int or RxnVariableType + the value to change + + Returns + ------- + RxnVariableType + the equivalent variable type enum + + Raises + ------ + KeyError + the value is unknown/undefined + TypeError + the type of the value is wrong + """ if value is None: return if isinstance(value, cls): @@ -185,18 +177,26 @@ def make(cls, value: Union[str, int, "RxnVarType"]): raise TypeError("Invalid type '{}'".format(type(value))) -class RxnLocType(Enum): +class RxnLocationType(Enum): """What type of network component does this reaction occur in + The following types are defined, and aliases of just the first character + are also defined. + + .. rubric:: Valid values - The following types are defined, and aliases of the first character - are also defined. + .. autosummary:: + + PIPE + TANK + + .. rubric:: Class methods .. autosummary:: - Pipes - Tanks + factory + """ PIPE = 1 @@ -204,12 +204,31 @@ class RxnLocType(Enum): TANK = 2 """The expression describes a reaction in tanks""" P = PIPE - """Alias for :attr:`Pipes`""" + """Alias for :attr:`PIPE`""" T = TANK - """Alias for :attr:`Tanks`""" + """Alias for :attr:`TANK`""" @classmethod - def make(cls, value: Union[str, int, "RxnLocType"]): + def factory(cls, value: Union[str, int, "RxnLocationType"]) -> "RxnLocationType": + """Convert a value to a valid RxnLocationType. + + Parameters + ---------- + value : str or int or RxnLocationType + the value to process + + Returns + ------- + RxnLocationType + the equivalent enum object + + Raises + ------ + KeyError + the value is unknown/undefined + TypeError + the type of the value is wrong + """ if value is None: return if isinstance(value, cls): @@ -224,19 +243,26 @@ def make(cls, value: Union[str, int, "RxnLocType"]): raise TypeError("Invalid type '{}'".format(type(value))) -class RxnExprType(Enum): +class RxnDynamicsType(Enum): """The type of reaction expression. + The following types are defined, and aliases of just the first character + are also defined. + .. rubric:: Valid values - The following types are defined, and aliases of the first character - are also defined. + .. autosummary:: + + EQUIL + RATE + FORMULA + + .. rubric:: Class methods .. autosummary:: - Equil - Rate - Formula + factory + """ EQUIL = 1 @@ -246,14 +272,33 @@ class RxnExprType(Enum): FORMULA = 3 """used when the concentration of the named species is a simple function of the remaining species""" E = EQUIL - """Alias for :attr:`Equil`""" + """Alias for :attr:`EQUIL`""" R = RATE - """Alias for :attr:`Rate`""" + """Alias for :attr:`RATE`""" F = FORMULA - """Alias for :attr:`Formula`""" + """Alias for :attr:`FORMULA`""" @classmethod - def make(cls, value: Union[str, int, "RxnExprType"]): + def factory(cls, value: Union[str, int, "RxnDynamicsType"]) -> "RxnDynamicsType": + """Convert a value to a RxnDynamicsType. + + Parameters + ---------- + value : str or int or RxnDynamicsType + the value to convert + + Returns + ------- + RxnDynamicsType + the enum value + + Raises + ------ + KeyError + the value is unknown/undefined + TypeError + the type of the value is wrong + """ if value is None: return if isinstance(value, cls): @@ -450,80 +495,161 @@ def __repr__(self) -> str: @dataclass -class ReactionVariable(ABC): +class RxnVariable(ABC): + """The base for a reaction variable. + + Parameters + ---------- + name : str + the name/symbol of the variable + """ name: str + """The name (symbol) for the variable, must be a valid MSX name""" + + def __str__(self) -> str: + """Returns the name of the variable""" + return self.name + + def __hash__(self) -> int: + """Makes the variable hashable by hashing the `str` representation""" + return hash(str(self)) @abstractproperty - def var_type(self) -> RxnVarType: + def var_type(self) -> RxnVariableType: + """The variable type.""" raise NotImplementedError - @abstractmethod - def to_msx_string(self) -> str: - raise NotImplementedError + def is_species(self) -> bool: + """Check to see if this variable represents a species (bulk or wall). + + Returns + ------- + bool + True if this is a species object, False otherwise + """ + return self.var_type == RxnVariableType.BULK or self.var_type == RxnVariableType.WALL + + def is_coeff(self) -> bool: + """Check to see if this variable represents a coefficient (constant or parameter). + + Returns + ------- + bool + True if this is a coefficient object, False otherwise + """ + return self.var_type == RxnVariableType.CONST or self.var_type == RxnVariableType.PARAM + + def is_term_function(self) -> bool: + """Check to see if this variable represents a function (MSX term). + + Returns + ------- + bool + True if this is a term/function object, False otherwise + """ + return self.var_type == RxnVariableType.TERM @property def symbol(self): - return sympy.Symbol(self.name) - - def __str__(self) -> str: - return self.name - - def __hash__(self) -> int: - return hash(str(self)) + """Representation of the variable's name as a sympy.Symbol""" + return Symbol(self.name) @dataclass -class ReactionDynamics(ABC): - - species: str - location: RxnLocType +class RxnReaction(ABC): + """The base for a reaction. - @abstractproperty - def expr_type(self) -> RxnExprType: - raise NotImplementedError + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction dynamics (right-hand-side) + """ - @abstractmethod - def to_msx_string(self) -> str: - raise NotImplementedError + species: str + """The name of the species that this reaction describes""" + location: RxnLocationType + """The location this reaction occurs (pipes vs tanks)""" + expression: str + """The expression for the reaction dynamics (or, the right-hand-side of the equation)""" def __str__(self) -> str: + """Names the reaction with the format `species-dot-location` (for example, ``PB2.pipe``)""" return self.to_key(self.species, self.location) - @classmethod - def to_key(cls, species, location): - location = RxnLocType.make(location) - return species + "." + location.name.lower() - def __hash__(self) -> int: + """Makes the reaction hashable by hashing the `str` representation""" return hash(str(self)) + @abstractproperty + def expr_type(self) -> RxnDynamicsType: + """The type of reaction dynamics being described (or, the left-hand-side of the equation)""" + raise NotImplementedError -class VariableRegistry(ABC): + @classmethod + def to_key(cls, species, location): + """Generate a dictionary key (equivalent to the ``str`` casting of a reaction) + without having the object itself. + + Parameters + ---------- + species : str + the species for the reaction + location : RxnLocationType or str + the location of the reaction + + Returns + ------- + str + a species/location unique name + """ + location = RxnLocationType.factory(location) + return str(species) + "." + location.name.lower() + + +class RxnModelRegistry(ABC): @abstractmethod def variables(self, var_type=None): + """Generator over all defined variables, optionally limited by variable type""" raise NotImplementedError @abstractmethod - def get_variable(self, name: str) -> ReactionVariable: + def add_variable(self, __variable: RxnVariable): + """Add a variable *object* to the model""" raise NotImplementedError @abstractmethod - def del_variable(self, name: str): + def get_variable(self, name: str) -> RxnVariable: + """Get a specific variable by name""" raise NotImplementedError + @abstractmethod + def remove_variable(self, name: str): + """Delete a specified variable from the model""" + raise NotImplementedError -class ReactionRegistry(ABC): @abstractmethod def reactions(self, location=None): + """Generator over all defined reactions, optionally limited by reaction location""" + raise NotImplementedError + + @abstractmethod + def add_reaction(self, __reaction: RxnReaction): + """Add a reaction *object* to the model""" raise NotImplementedError @abstractmethod - def get_reaction(self, species, location=None) -> List[ReactionDynamics]: + def get_reaction(self, species, location=None) -> List[RxnReaction]: + """Get reaction(s) for a species, optionally only for one location""" raise NotImplementedError @abstractmethod - def del_reaction(self, species, location=None): + def remove_reaction(self, species, location=None): + """Remove reaction(s) for a species, optionally only for one location""" raise NotImplementedError @@ -532,21 +658,55 @@ class LinkedVariablesMixin: __variable_registry = None @property - def _variable_registry(self) -> VariableRegistry: + def _variable_registry(self) -> RxnModelRegistry: return self.__variable_registry @_variable_registry.setter def _variable_registry(self, value): - if value is not None and not isinstance(value, VariableRegistry): - raise TypeError("Linked model must be a RxnModel, got {}".format(type(value))) + if value is not None and not isinstance(value, RxnModelRegistry): + raise TypeError("Linked model must be a RxnModelRegistry, got {}".format(type(value))) self.__variable_registry = value + def validate(self): + """Validate that this object is a member of the RxnModelRegistry + + Raises + ------ + TypeError + if the model registry isn't linked + """ + if not isinstance(self._variable_registry, RxnModelRegistry): + raise TypeError("This object is not connected to any RxnModelRegistry") + @dataclass class ExpressionMixin(ABC): - - expression: str + """A mixin class for converting an expression to a sympy Expr""" @abstractmethod - def sympify(self): + def to_symbolic(self, transformations=EXPR_TRANSFORMS): + """Convert to a symbolic expression. + + Parameters + ---------- + transformations : tuple of sympy transformations + transformations to apply to the expression, by default EXPR_TRANSFORMS + + Returns + ------- + sympy.Expr + the expression parsed by sympy + """ + return parse_expr(self.expression, transformations=transformations) + + +class MSXObject: + def to_msx_string(self) -> str: + """Get the expression as an EPANET-MSX input-file style string. + + Returns + ------- + str + the expression for use in an EPANET-MSX input file + """ raise NotImplementedError diff --git a/wntr/reaction/dynamics.py b/wntr/reaction/dynamics.py index 06de1feb1..bb1ddce74 100644 --- a/wntr/reaction/dynamics.py +++ b/wntr/reaction/dynamics.py @@ -1,78 +1,213 @@ +# -*- coding: utf-8 -*- + +r""" +Classes for the species reactions used in reaction models. +Defines a reaction based on the type of reaction dynamics, e.g., equilibrium +or rate-of-change. The dynamics, or ``expr_type`` determine the left-hand-side of a reaction +equation, while the ``expression`` provides the right-hand-side. + +In other words, the ``expr_type``, ``species`` and ``expression`` attributes of all +reaction class objects can be read as: + +.. math:: + + expr\_type(species) = expression(vars,...). + + +For a ``RATE`` reaction, this equates to: + +.. math:: + + \frac{d}{dt}C(species) = f(vars,...) + + +The classes in this module can be created directly. However, they are more +powerful when either, a) created using API calls on a :class:`~wntr.reaction.model.WaterNetworkModel`, +or, b) linked to a :class:`~wntr.reaction.model.WaterNetworkModel` model object after creation. +This allows for expressions to be validated against the variables defined in the model. + +If :class:`sympy` is installed, then there are functions available +that will convert object instances of these classes into sympy expressions +and symbols. If the instances are linked to a model, then expressions can +be expanded, validated, and even evaluated or simplified symbolically. +""" import enum import logging from dataclasses import InitVar, asdict, dataclass, field from enum import Enum, IntFlag from typing import Any, ClassVar, Dict, List, Set, Tuple, Union -import sympy -from sympy import Float, Function, Symbol, init_printing, symbols -from sympy.parsing import parse_expr -from sympy.parsing.sympy_parser import convert_xor, standard_transformations +has_sympy = False +try: + from sympy import Float, Symbol, init_printing, symbols + from sympy.parsing import parse_expr + from sympy.parsing.sympy_parser import convert_xor, standard_transformations -from wntr.network.model import WaterNetworkModel -from wntr.reaction.base import RxnVarType + has_sympy = True +except ImportError: + sympy = None + logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") + standard_transformations = (None,) + convert_xor = None + has_sympy = False -from .base import ExpressionMixin, LinkedVariablesMixin, RxnExprType, RxnLocType, VariableRegistry, ReactionDynamics, RxnVarType -from .variables import Coefficient, OtherTerm, Species +from wntr.network.model import WaterNetworkModel +from wntr.reaction.base import EXPR_TRANSFORMS, MSXObject, RxnVariableType + +from .base import ( + ExpressionMixin, + LinkedVariablesMixin, + RxnDynamicsType, + RxnLocationType, + RxnModelRegistry, + RxnReaction, + RxnVariableType, +) +from .variables import Coefficient, Species, OtherTerm logger = logging.getLogger(__name__) -class MSXDefinedDynamicsMixin: - def to_msx_string(self) -> str: - """Get the expression as an EPANET-MSX input-file style string. - - Returns - ------- - str - the expression for use in an EPANET-MSX input file - """ - return "{} {} {} ;{}".format(self.expr_type.name.upper(), str(self.species), self.expression, self.note if self.note else "") - - @dataclass(repr=False) -class RateDynamics(MSXDefinedDynamicsMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): +class RateDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReaction): + r"""Used to supply the equation that expresses the rate of change of the given species + with respect to time as a function of the other species in the model. + + .. math:: + + \frac{d}{dt} C(species) = expression + + + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction dynamics, which is the rate-of-change of the species concentration + note : str, optional + a note about this reaction + variable_registry : RxnModelRegistry, optional + a link to the remainder of the larger model + """ note: str = None - variable_registry: InitVar[VariableRegistry] = field(default=None, compare=False) + """A note or comment about this species reaction dynamics""" + variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) + """A link to the reaction model with variables""" def __post_init__(self, variable_registry): self._variable_registry = variable_registry @property - def expr_type(self) -> RxnExprType: - return RxnExprType.RATE + def expr_type(self) -> RxnDynamicsType: + return RxnDynamicsType.RATE + + def to_symbolic(self, transformations=...): + return super().to_symbolic(transformations) + + def to_msx_string(self) -> str: + return "{} {} {} ;{}".format(self.expr_type.name.upper(), str(self.species), self.expression, self.note if self.note else "") + + def to_dict(self) -> dict: + rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) + if self.note is not None: + rep['note'] = self.note + return rep - def sympify(self): - raise NotImplementedError @dataclass(repr=False) -class EquilibriumDynamics(MSXDefinedDynamicsMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): +class EquilibriumDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReaction): + """Used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero. + + .. math:: + + 0 = expression + + + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction dynamics, which should equal to zero + note : str, optional + a note about this reaction + variable_registry : RxnModelRegistry, optional + a link to the remainder of the larger model + """ + note: str = None - variable_registry: InitVar[VariableRegistry] = field(default=None, compare=False) + """A note or comment about this species reaction dynamics""" + variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) + """A link to the reaction model with variables""" def __post_init__(self, variable_registry): self._variable_registry = variable_registry @property - def expr_type(self) -> RxnExprType: - return RxnExprType.EQUIL + def expr_type(self) -> RxnDynamicsType: + return RxnDynamicsType.EQUIL + + def to_symbolic(self, transformations=...): + return super().to_symbolic(transformations) + + def to_msx_string(self) -> str: + return "{} {} {} ;{}".format(self.expr_type.name.upper(), str(self.species), self.expression, self.note if self.note else "") - def sympify(self): - raise NotImplementedError + def to_dict(self) -> dict: + rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) + if self.note is not None: + rep['note'] = self.note + return rep @dataclass(repr=False) -class FormulaDynamics(MSXDefinedDynamicsMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): +class FormulaDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReaction): + """Used when the concentration of the named species is a simple function of the remaining species. + + .. math:: + + C(species) = expression + + + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction formula, which is used to calculate the concentration of the species + note : str, optional + a note about this reaction + variable_registry : RxnModelRegistry, optional + a link to the remainder of the larger model + """ + note: str = None - variable_registry: InitVar[VariableRegistry] = field(default=None, compare=False) + """A note or comment about this species reaction dynamics""" + variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) + """A link to the reaction model with variables""" def __post_init__(self, variable_registry): self._variable_registry = variable_registry @property - def expr_type(self) -> RxnExprType: - return RxnExprType.FORMULA + def expr_type(self) -> RxnDynamicsType: + return RxnDynamicsType.FORMULA + + def to_symbolic(self, transformations=...): + return super().to_symbolic(transformations) + + def to_msx_string(self) -> str: + return "{} {} {} ;{}".format(self.expr_type.name.upper(), str(self.species), self.expression, self.note if self.note else "") - def sympify(self): - raise NotImplementedError + def to_dict(self) -> dict: + rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) + if self.note is not None: + rep['note'] = self.note + return rep diff --git a/wntr/reaction/io.py b/wntr/reaction/io.py index fbb8cd302..4110db4bd 100644 --- a/wntr/reaction/io.py +++ b/wntr/reaction/io.py @@ -1,9 +1,9 @@ # coding: utf-8 -import sys import logging -from wntr.network.elements import Source +import sys +from wntr.network.elements import Source from wntr.reaction.model import WaterQualityReactionsModel from wntr.reaction.variables import Parameter, Species @@ -58,7 +58,17 @@ def read(self, msx_file, rxn_model=None): Read an EPANET-MSX input file (.msx) and load data into a water quality reactions model. Only MSX 2.0 files are recognized. - + Parameters + ---------- + msx_file : str + the filename of the .msx file to read in + rxn_model : WaterQualityReactionsModel, optional + the model to put data into, by default None (new model) + + Returns + ------- + WaterQualityReactionsModel + the model with the new species, reactions and other options added """ if rxn_model is None: rxn_model = WaterQualityReactionsModel() @@ -134,159 +144,256 @@ def read(self, msx_file, rxn_model=None): def _read_title(self): lines = [] - for lnum, line in self.sections['[TITLE]']: - line = line.split(';')[0] - current = line.split() - if current == []: - continue - lines.append(line) + title = None + comments = "" + for lnum, line in self.sections["[TITLE]"]: + vals, comment = _split_line(line) + if title is None and vals is not None: + title = " ".join(vals) + if comment: + lines.append(comment.strip()) + if self.top_comments: + comments = "\n".join(self.top_comments) if len(lines) > 0: - self.rxn.title = lines[0] - if len(lines) > 1: - self.rxn.desc = '\n'.join(lines[1:]) + comments = comments + ("\n" if comments else "") + "\n".join(lines) + self.rxn.title = title + self.rxn.desc = comments def _read_options(self): lines = [] - for lnum, line in self.sections['[OPTIONS]']: + prev_comment = None + for lnum, line in self.sections["[OPTIONS]"]: vals, comment = _split_line(line) - if len(vals) != 2: - raise RuntimeError('Invalid options line: "{}"'.format(line)) - name, val = vals[0].upper(), vals[1].upper() try: - if name == 'AREA_UNITS': + if len(vals) != 2: + raise SyntaxError("Invalid [OPTIONS] entry") + name, val = vals[0].upper(), vals[1].upper() + if name == "AREA_UNITS": self.rxn._options.quality.area_units = val - elif name == 'RATE_UNITS': + elif name == "RATE_UNITS": self.rxn._options.quality.rate_units = val - elif name == 'SOLVER': + elif name == "SOLVER": self.rxn._options.quality.solver = val - elif name == 'COUPLING': + elif name == "COUPLING": self.rxn._options.quality.coupling = val - elif name == 'TIMESTEP': - self.rxn._options.time.timestep = int(val) - elif name == 'ATOL': + elif name == "TIMESTEP": + self.rxn._options.quality.timestep = int(val) + elif name == "ATOL": self.rxn._options.quality.atol = float(val) - elif name == 'RTOL': + elif name == "RTOL": self.rxn._options.quality.rtol = float(val) - elif name == 'COMPILER': + elif name == "COMPILER": self.rxn._options.quality.compiler = val - elif name == 'SEGMENTS': + elif name == "SEGMENTS": self.rxn._options.quality.segments = int(val) - elif name == 'PECLET': + elif name == "PECLET": self.rxn._options.quality.peclet = int(val) except Exception as e: - raise ('Error in options line: "{}"'.format(line)) from e - + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + def _read_species(self): lines = [] - for lnum, line in self.sections['[SPECIES]']: + prev_comment = None + for lnum, line in self.sections["[SPECIES]"]: vals, comment = _split_line(line) - if len(vals) not in [3, 5]: - raise RuntimeError('Invalid species line: "{}"'.format(line)) + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None try: + if len(vals) not in [3, 5]: + raise SyntaxError("Invalid [SPECIES] entry") if len(vals) == 3: species = self.rxn.add_species(vals[0], vals[1], vals[2], note=comment) elif len(vals) == 5: species = self.rxn.add_species(vals[0], vals[1], vals[2], float(vals[3]), float(vals[4]), note=comment) except Exception as e: - raise RuntimeError('Invalid species line: "{}"'.format(line)) from e + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def _read_coefficients(self): lines = [] - for lnum, line in self.sections['[COEFFICIENTS]']: + prev_comment = None + for lnum, line in self.sections["[COEFFICIENTS]"]: vals, comment = _split_line(line) - if len(vals) != 3: - raise RuntimeError('Invalid coefficient line: "{}"'.format(line)) + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None try: + if len(vals) != 3: + raise SyntaxError("Invalid [COEFFICIENTS] entry") coeff = self.rxn.add_coefficient(vals[0], vals[1], float(vals[2]), note=comment) except Exception as e: - raise RuntimeError('Invalid coefficient line: "{}"'.format(line)) from e + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def _read_terms(self): lines = [] - for lnum, line in self.sections['[TERMS]']: + prev_comment = None + for lnum, line in self.sections["[TERMS]"]: vals, comment = _split_line(line) - if len(vals) < 2: - raise RuntimeError('Invalid term line: "{}"'.format(line)) - term = self.rxn.add_other_term(vals[0], ' '.join(vals[1:]), note=comment) + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None + try: + if len(vals) < 2: + raise SyntaxError("Invalid [TERMS] entry") + term = self.rxn.add_other_term(vals[0], " ".join(vals[1:]), note=comment) + except Exception as e: + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def _read_pipes(self): lines = [] - for lnum, line in self.sections['[PIPES]']: + prev_comment = None + for lnum, line in self.sections["[PIPES]"]: vals, comment = _split_line(line) - if len(vals) < 3: - raise RuntimeError('Invalid tanks line: "{}"'.format(line)) - reaction = self.rxn.add_pipe_reaction(vals[0], vals[1], vals[2:], note=comment) + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None + try: + if len(vals) < 3: + raise SyntaxError("Invalid [PIPES] entry") + reaction = self.rxn.add_pipe_reaction(vals[1], vals[0], " ".join(vals[2:]), note=comment) + except Exception as e: + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def _read_tanks(self): lines = [] - for lnum, line in self.sections['[TANKS]']: + prev_comment = None + for lnum, line in self.sections["[TANKS]"]: vals, comment = _split_line(line) - if len(vals) < 3: - raise RuntimeError('Invalid tanks line: "{}"'.format(line)) - reaction = self.rxn.add_tank_reaction(vals[0], vals[1], vals[2:], note=comment) + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None + try: + if len(vals) < 3: + raise SyntaxError("Invalid [TANKS] entry") + reaction = self.rxn.add_tank_reaction(vals[1], vals[0], " ".join(vals[2:]), note=comment) + except Exception as e: + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def _read_sources(self): lines = [] - for lnum, line in self.sections['[SOURCES]']: + prev_comment = None + for lnum, line in self.sections["[SOURCES]"]: vals, comment = _split_line(line) + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None try: if len(vals) == 4: typ, node, spec, strength = vals pat = None else: typ, node, spec, strength, pat = vals + if not self.rxn.has_variable(spec): + raise ValueError('Undefined species in [QUALITY] section: {}'.format(spec)) + if spec not in self.rxn._sources.keys(): + self.rxn._sources[spec] = dict() source = Source(None, name=spec, node_name=node, source_type=typ, strength=strength, pattern=pat) - self.rxn._sources['{}:{}:{}'.format(typ,node,spec)] = source + self.rxn._sources[spec][node] = source except Exception as e: - raise RuntimeError('Invalid sources line: "{}"'.format(line)) from e + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def _read_quality(self): lines = [] - for lnum, line in self.sections['[QUALITY]']: + prev_comment = None + for lnum, line in self.sections["[QUALITY]"]: vals, comment = _split_line(line) - self.rxn._inital_quality.extend(lines) + if len(vals) == 0: continue + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None + try: + if len(vals) == 4: + cmd, netid, spec, concen = vals + else: + cmd, spec, concen = vals + if cmd[0].lower() not in ['g', 'n', 'l']: + raise SyntaxError('Unknown first word in [QUALITY] section') + if not self.rxn.has_variable(spec): + raise ValueError('Undefined species in [QUALITY] section: {}'.format(spec)) + if spec not in self.rxn._inital_quality.keys(): + self.rxn._inital_quality[spec] = dict(global_value=None, nodes=dict(), links=dict()) + if cmd[0].lower() == 'g': + self.rxn._inital_quality[spec]['global_value'] = float(concen) + elif cmd[0].lower() == 'n': + self.rxn._inital_quality[spec]['nodes'][netid] = float(concen) + elif cmd[1].lower() == 'l': + self.rxn._inital_quality[spec]['links'][netid] = float(concen) + except Exception as e: + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def _read_parameters(self): lines = [] - for lnum, line in self.sections['[PARAMETERS]']: + prev_comment = None + for lnum, line in self.sections["[PARAMETERS]"]: vals, comment = _split_line(line) + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None try: typ, netid, paramid, value = vals coeff = self.rxn.get_variable(paramid) if not isinstance(coeff, Parameter): - raise RuntimeError('Invalid parameter {}'.format(paramid)) + raise RuntimeError("Invalid parameter {}".format(paramid)) value = float(value) - if typ.lower()[0] == 'p': + if typ.lower()[0] == "p": coeff.pipe_values[netid] = vals - elif typ.lower()[0] == 't': + elif typ.lower()[0] == "t": coeff.tank_values[netid] = vals else: - raise RuntimeError('Invalid parameter type {}'.format(typ)) + raise RuntimeError("Invalid parameter type {}".format(typ)) except Exception as e: - raise RuntimeError('Invalid parameters line: "{}"'.format(line)) from e + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def _read_diffusivity(self): lines = [] - for lnum, line in self.sections['[DIFFUSIVITY]']: + prev_comment = None + for lnum, line in self.sections["[DIFFUSIVITY]"]: vals, comment = _split_line(line) - if len(vals) != 2: - raise RuntimeError('Error in diffusivity line: "{}"'.format(line)) + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None try: + if len(vals) != 2: + raise SyntaxError("Invalid [DIFFUSIVITIES] entry") species = self.rxn.get_variable(vals[0]) - except: - raise RuntimeError('Invalid species {} in diffusivity line: "{}"'.format(vals[0], line)) - if not isinstance(species, Species): - raise RuntimeError('Invalid species {} in diffusivity line: "{}"'.format(vals[0], line)) - try: + if not isinstance(species, Species): + raise RuntimeError("Invalid species {} in diffusivity".format(vals[0])) species.diffusivity = float(vals[1]) except Exception as e: - raise RuntimeError('Error in diffusivity line: "{}"'.format(line)) from e + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def _read_patterns(self): _patterns = dict() - for lnum, line in self.sections['[PATTERNS]']: + for lnum, line in self.sections["[PATTERNS]"]: # read the lines for each pattern -- patterns can be multiple lines of arbitrary length - line = line.split(';')[0] + line = line.split(";")[0] current = line.split() if current == []: continue @@ -301,13 +408,62 @@ def _read_patterns(self): for pattern_name, pattern in _patterns.items(): # add the patterns to the water newtork model self.rxn.add_pattern(pattern_name, pattern) - def _read_report(self): lines = [] - for lnum, line in self.sections['[REPORT]']: + prev_comment = None + for lnum, line in self.sections["[REPORT]"]: vals, comment = _split_line(line) - self.rxn._report.extend(lines) + if vals is None: + prev_comment = comment + continue + if prev_comment is not None and comment is None: + comment = prev_comment + prev_comment = None + try: + if len(vals) == 0: + continue + if len(vals) < 2: + raise SyntaxError('Invalid number of arguments in [REPORT] section') + cmd = vals[0][0].lower() + if cmd == 'n': # NODES + if self.rxn._options.report.nodes is None: + if vals[1].upper() == 'ALL': + self.rxn._options.report.nodes = 'ALL' + else: + self.rxn._options.report.nodes = list() + self.rxn._options.report.nodes.extend(vals[1:]) + elif isinstance(self.rxn._options.report.nodes, list): + if vals[1].upper() == 'ALL': + self.rxn._options.report.nodes = 'ALL' + else: + self.rxn._options.report.nodes.extend(vals[1:]) + elif cmd == 'l': # LINKS + if self.rxn._options.report.links is None: + if vals[1].upper() == 'ALL': + self.rxn._options.report.links = 'ALL' + else: + self.rxn._options.report.links = list() + self.rxn._options.report.links.extend(vals[1:]) + elif isinstance(self.rxn._options.report.links, list): + if vals[1].upper() == 'ALL': + self.rxn._options.report.links = 'ALL' + else: + self.rxn._options.report.links.extend(vals[1:]) + elif cmd == 'f': + self.rxn._options.report.report_filename = vals[1] + elif cmd == 'p': + self.rxn._options.report.pagesize = vals[1] + elif cmd == 's': + if not self.rxn.has_variable(vals[1]): + raise ValueError('Undefined species in [REPORT] section: {}'.format(vals[1])) + self.rxn._options.report.species[vals[1]] = True if vals[2].lower().startswith('y') else False + if len(vals) == 4: + self.rxn._options.report.species_precision[vals[1]] = int(vals[3]) + else: + raise SyntaxError('Invalid syntax in [REPORT] section: unknown first word') + except Exception as e: + raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e def write(self, filename, rxn_model): pass diff --git a/wntr/reaction/library.py b/wntr/reaction/library.py index 16c692e67..feacbac13 100644 --- a/wntr/reaction/library.py +++ b/wntr/reaction/library.py @@ -1,25 +1,45 @@ # -*- coding: utf-8 -*- +# @Contributors: +# Jonathan Burkhardt, U.S. Environmental Protection Agency, Office of Research and Development + """ -Library of common reactions. +A library of common reactions. +Values in libarary are for test purposes ONLY. These highlight the reaction form/relationship +but not necessarily the specific system kinetics. Citations are provided where appropriate for +sources of values or models. In most cases updates will be necessary to use for different +models - that is, sources, pipes, nodes are for a given network, and must be updated for different +models. + +.. autosummary:: + + nicotine + nicotine_ri + lead_ppm -@author: John Burkhart, US EPA ORD """ +import logging -from .base import Citation +from ..utils.citations import Citation from .model import WaterQualityReactionsModel +logger = logging.getLogger(__name__) + +# ===================== Nicotine-chlorine model +# nicotine = WaterQualityReactionsModel( title="Nicotine - Chlorine reaction", - desc="Values in libarary are for test purposes ONLY. These highlight the reaction form/relationship but not necessarily the specific system kinetics. Citations are provided where appropriate for sources of values or models. In most cases updates will be necessary to use for different models -- That is, sources, pipes, nodes are for a given network, and must be updated for different models.", + desc="Values in libarary are for test purposes ONLY.", ) +"""A nicotine-chlorine reaction model""" + nicotine.options.quality.area_units = "M2" nicotine.options.quality.rate_units = "MIN" -nicotine.options.time.timestep = 1 -nicotine.add_bulk_species("Nx", unit="MG", note="Nicotine") -nicotine.add_bulk_species("HOCL", unit="MG", note="Free chlorine") -nicotine.add_constant_coeff("kd", global_value=2.33e-3, unit="min^(-1)", note="decay rate") -nicotine.add_constant_coeff("K1", global_value=5.92e-2, unit="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") -nicotine.add_constant_coeff("K2", global_value=1.84e-1, unit="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +nicotine.options.quality.timestep = 1 +nicotine.add_bulk_species("Nx", units="MG", note="Nicotine") +nicotine.add_bulk_species("HOCL", units="MG", note="Free chlorine") +nicotine.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") +nicotine.add_constant_coeff("K1", global_value=5.92e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") +nicotine.add_constant_coeff("K2", global_value=1.84e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") nicotine.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL") nicotine.add_other_term("RXN", expression="K2 * Nx * HOCL") nicotine.add_pipe_reaction("Nx", "rate", expression="-RXN") @@ -27,49 +47,48 @@ nicotine.add_tank_reaction("Nx", "rate", "0") nicotine.add_tank_reaction("HOCL", "rate", "0") - +# ===================== Nicotine-chlorine reactive intermediate species +# nicotine_ri = WaterQualityReactionsModel( title="Nicotine - Chlorine reaction with reactive intermediate", + desc="Values in libarary are for test purposes ONLY.", ) -# Set options +"""A nicotine-chlorine reaction with a reactive intermediate""" +# Set the options nicotine_ri.options.quality.area_units = "M2" nicotine_ri.options.quality.rate_units = "MIN" -nicotine_ri.options.time.timestep = 1 +nicotine_ri.options.quality.timestep = 1 nicotine_ri.options.quality.atol = 1.0e-10 nicotine_ri.options.quality.rtol = 1.0e-10 - # Add species -nicotine_ri.add_bulk_species("Nx", unit="MG", note="Nicotine") -nicotine_ri.add_bulk_species("HOCL", unit="MG", note="Free Chlorine") -nicotine_ri.add_bulk_species("NX2", unit="MG", note="Intermediate Nicotine Reactive") - +nicotine_ri.add_bulk_species("Nx", units="MG", note="Nicotine") +nicotine_ri.add_bulk_species("HOCL", units="MG", note="Free Chlorine") +nicotine_ri.add_bulk_species("NX2", units="MG", note="Intermediate Nicotine Reactive") # Add coefficients -nicotine_ri.add_constant_coeff("kd", 3.0e-5, note="decay rate", unit="1/min") -nicotine_ri.add_constant_coeff("K1", global_value=9.75e-2, unit="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") -nicotine_ri.add_constant_coeff("K2", global_value=5.73e-1, unit="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -nicotine_ri.add_constant_coeff("K3", global_value=1.34e-2, unit="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") -nicotine_ri.add_constant_coeff("K4", global_value=2.19e-2, unit="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") - +nicotine_ri.add_constant_coeff("kd", 3.0e-5, note="decay rate", units="1/min") +nicotine_ri.add_constant_coeff("K1", global_value=9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") +nicotine_ri.add_constant_coeff("K2", global_value=5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +nicotine_ri.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") +nicotine_ri.add_constant_coeff("K4", global_value=2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") # Add terms (named subexpressions) nicotine_ri.add_other_term("RXCL", expression="kd*HOCL + K1*Nx*HOCL + K3*NX2*HOCL") nicotine_ri.add_other_term("RXN", expression="K2*Nx*HOCL") nicotine_ri.add_other_term("RXNX2", expression="K2*Nx*HOCL - K4*NX2*HOCL") - # Add pipe reactions, one per species nicotine_ri.add_pipe_reaction("Nx", "RATE", expression="-RXN") nicotine_ri.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") nicotine_ri.add_pipe_reaction("NX2", "RATE", expression="RXNX2") - # Tank reactions actually aren't necessary since there aren't any wall species nicotine_ri.add_tank_reaction("Nx", "RATE", expression="-RXN") nicotine_ri.add_tank_reaction("HOCL", "RATE", expression="-RXCL") nicotine_ri.add_tank_reaction("NX2", "RATE", expression="RXNX2") - +# ===================== Lead plumbosolvency model +# lead_ppm = WaterQualityReactionsModel( title="Lead Plumbosolvency Model (from Burkhardt et al 2020)", desc="Parameters for EPA HPS Simulator Model", - citations=Citation( + citations=[Citation( title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", year=2020, author=[ @@ -82,7 +101,7 @@ "Darren Lytle", "Regan Murray", ], - citationtype="article", + citation_class="article", journaltitle="J Water Resour Plan Manag", volume=146, number=12, @@ -93,10 +112,9 @@ "PMCID:PMC7898126", "NIHMSID:NIHMS1664627", ], - ), + )], allow_sympy_reserved_names=True, options={ - "time": {"timestep": 1}, "report": { "species": {"PB2": "YES"}, "species_precision": {"PB2": 5}, @@ -104,6 +122,7 @@ "links": "all", }, "quality": { + "timestep": 1, "area_units": "M2", "rate_units": "SEC", "rtol": 1e-08, @@ -111,15 +130,20 @@ }, }, ) -lead_ppm.options.quality.area_units = "M2" -lead_ppm.options.quality.rate_units = "SEC" -lead_ppm.options.quality.rtol = 1.0e-8 -lead_ppm.options.quality.atol = 1.0e-8 -lead_ppm.options.time.timestep = 1 +"""A lead plumbosolvency model [BEMS20]_. + +.. [BEMS20] + J. B. Burkhardt, et al. (2020) + "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". + `Journal of water resources planning and management`. + **146** (12). + https://doi.org/10.1061/(asce)wr.1943-5452.0001304 +""" +# add the species, coefficients and reactions lead_ppm.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") -lead_ppm.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", unit="ug * m^(-1) * s^(-1)") -lead_ppm.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", unit="ug/L") +lead_ppm.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-1) * s^(-1)") +lead_ppm.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") lead_ppm.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") lead_ppm.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") lead_ppm.add_tank_reaction("PB2", "RATE", expression="0") diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index 48581f534..ecee8cebc 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ -Water quality reactions base classes +Water quality reactions model. """ @@ -9,54 +9,109 @@ from collections.abc import MutableMapping from dataclasses import InitVar, asdict, dataclass, field from enum import Enum, IntFlag -from typing import Any, ClassVar, Dict, Generator, Hashable, Iterator, List, Literal, Set, Tuple, Union - -import sympy -from sympy import Float, Symbol, init_printing, symbols -from sympy.parsing import parse_expr -from sympy.parsing.sympy_parser import convert_xor, standard_transformations +from typing import ( + Any, + ClassVar, + Dict, + Generator, + Hashable, + Iterator, + List, + Literal, + Set, + Tuple, + Union, +) +from wntr.network.elements import Source + +has_sympy = False +try: + from sympy import Float, Symbol, init_printing, symbols + from sympy.parsing import parse_expr + from sympy.parsing.sympy_parser import convert_xor, standard_transformations + + has_sympy = True +except ImportError: + sympy = None + logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") + standard_transformations = (None,) + convert_xor = None + has_sympy = False from wntr.network.model import WaterNetworkModel -from wntr.reaction.dynamics import EquilibriumDynamics, FormulaDynamics, RateDynamics +from ..utils.citations import Citation from .base import ( HYDRAULIC_VARIABLES, - RESERVED_NAMES, SYMPY_RESERVED, DisjointMapping, - DisjointMappingGroup, - ReactionDynamics, - ReactionRegistry, - ReactionVariable, - RxnExprType, - RxnLocType, - RxnVarType, + LinkedVariablesMixin, + RxnDynamicsType, + RxnLocationType, + RxnModelRegistry, + RxnReaction, + RxnVariable, + RxnVariableType, VariableNameExistsError, - VariableRegistry, ) +from .dynamics import EquilibriumDynamics, FormulaDynamics, RateDynamics from .options import RxnOptions -from .variables import BulkSpecies, Coefficient, Constant, InternalVariable, OtherTerm, Parameter, Species, WallSpecies +from .variables import ( + BulkSpecies, + Coefficient, + Constant, + InternalVariable, + Parameter, + Species, + OtherTerm, + WallSpecies, +) + +logger = logging.getLogger(__name__) @dataclass -class WaterQualityReactionsModel(ReactionRegistry, VariableRegistry): +class WaterQualityReactionsModel(RxnModelRegistry): """Water quality reactions model object. Parameters ---------- - title : str + title : str, optional The title of reaction model - desc : str + desc : str, optional A long description of the model - citations : + filename : str, optional + The original filename + citations : list of Citation or str, optional + It is appropriate to cite sources for water quality models + allow_sympy_reserved_names : bool, optional + Should the extra names from sympy be excluded, by default False + options : RxnOptions, optional + Reaction MSX options, by default a new object + _wn : WaterNetworkModel + The water network model to use, by default None """ - filename: str = None + title: str = None + """A one-line title for the model""" + desc: str = None - citations: Union[List[str], str] = "you ought to provide citations for this model" + """A multi-line string describing the model""" + + filename: str = None + """The original filename""" + + citations: List[Union[Citation, str]] = "you ought to provide citations for your model" + """A list of citations for the sources of this model's dynamics""" + allow_sympy_reserved_names: InitVar[bool] = False + """Allow sympy reserved names (I, E, pi)""" + options: InitVar[RxnOptions] = None + """A link to the options object""" + _wn: WaterNetworkModel = None + """A link to a water network model""" def __post_init__(self, allow_sympy_reserved_names=False, options=None): if self._wn is not None and not isinstance(self._wn, WaterNetworkModel): @@ -68,179 +123,497 @@ def __post_init__(self, allow_sympy_reserved_names=False, options=None): self._options = options if isinstance(self.citations, str): self.citations = [self.citations] + elif isinstance(self.citations, Citation): + self.citations = [self.citations] + self._variables: DisjointMapping = DisjointMapping() - self._species = self._variables.add_disjoint_group('species') - self._coeff = self._variables.add_disjoint_group('coeff') - self._terms = self._variables.add_disjoint_group('terms') + self._species = self._variables.add_disjoint_group("species") + self._coeffs = self._variables.add_disjoint_group("coeffs") + self._terms = self._variables.add_disjoint_group("funcs") self._dynamics: DisjointMapping = DisjointMapping() - self._pipe_dynamics = self._dynamics.add_disjoint_group('pipe') - self._tank_dynamics = self._dynamics.add_disjoint_group('tank') + self._pipe_dynamics = self._dynamics.add_disjoint_group("pipe") + self._tank_dynamics = self._dynamics.add_disjoint_group("tank") - self._usage: Dict[str, Set[str]] = dict() + self._usage: Dict[str, Set[str]] = dict() # FIXME: currently no usage tracking - self._sources: Dict[str, float] = dict() - self._inital_quality = list() - self._wn: WaterNetworkModel = None + self._sources: Dict[str, Dict[str, Dict[str, Source]]] = dict() + self._inital_quality: Dict[str, Dict[str, Dict[str, Source]]] = dict() self._patterns: Dict[str, Any] = dict() self._report = list() for v in HYDRAULIC_VARIABLES: - self._variables[v['name']] = InternalVariable(v['name'], note=v['note']) + self._variables[v["name"]] = InternalVariable(v["name"], note=v["note"]) if not allow_sympy_reserved_names: for name in SYMPY_RESERVED: self._variables[name] = InternalVariable(name, note="sympy reserved name") - def _is_variable_registered(self, var_or_name: Union[str, ReactionVariable]) -> bool: + def _is_variable_registered(self, var_or_name: Union[str, RxnVariable]) -> bool: name = str(var_or_name) - if name in self._variables: + if name in self._variables.keys(): return True return False + def has_variable(self, name: str) -> bool: + """Check to see if there is a variable by this name. + + Parameters + ---------- + name : str + a variable name to check + + Returns + ------- + bool + ``True`` if there is a variable by this name, ``False`` otherwise + """ + return name in self._variables.keys() + @property def variable_name_list(self) -> List[str]: + """A list of all defined variable names""" return list(self._variables.keys()) @property def species_name_list(self) -> List[str]: + """A list of all defined species names""" return list(self._species.keys()) @property def coefficient_name_list(self) -> List[str]: - return list(self._coeff.keys()) + """A list of all defined coefficient names""" + return list(self._coeffs.keys()) @property - def other_term_name_list(self) -> List[str]: + def function_name_list(self) -> List[str]: + """A list of all defined function (MSX 'terms') names""" return list(self._terms.keys()) - def variables(self, var_type=None): - var_type = RxnVarType.make(var_type) - for k, v in self._variables.items(): + def variables(self, var_type: RxnVariableType = None): + """A generator to loop over the variables. + + Parameters + ---------- + var_type : RxnVariableType, optional + limit results to a specific type, by default None + + Yields + ------ + RxnVariable + a variable defined within the model + """ + var_type = RxnVariableType.factory(var_type) + for v in self._variables.values(): if var_type is not None and v.var_type != var_type: continue - yield k, v + yield v + + def add_variable(self, var_or_type: Union[RxnVariable, RxnVariableType], name: str = None, **kwargs): + """Add an new variable to the model, or add an existing, unlinked variable object to the model. + + Parameters + ---------- + var_or_type : RxnVariable or RxnVariableType + the variable object to add to the model, or the type if creating a new variable object + name : str or None + the name of a new variable, must be None if adding an existing object, by default None + kwargs + any keyword arguments to pass to a new object constructor + + Raises + ------ + TypeError + if var_or_type is not a valid object, or if trying to create a new internal/hydraulic variable + ValueError + if var_or_type is an object, but name is supplied, or if var_or_type is a type, but no name is supplied + VariableNameExistsError + if the variable or name uses the same name an existing variable already uses + """ + if not isinstance(var_or_type, (RxnVariable,)): + try: + var_or_type = RxnVariableType.factory(var_or_type) + except Exception as e: + raise TypeError("Cannot add an object that is not a RxnVariable subclass or create a new object without a valid var_type") from e + if name is None: + raise ValueError("When adding a new variable, a name must be supplied") + typ = var_or_type + if typ is RxnVariableType.BULK or typ is RxnVariableType.WALL: + self.add_species(var_or_type, name, **kwargs) + elif typ is RxnVariableType.CONST or typ is RxnVariableType.PARAM: + self.add_coefficient(var_or_type, name, **kwargs) + elif typ is RxnVariableType.TERM: + self.add_other_term(var_or_type, name, **kwargs) + else: + raise TypeError("Cannot create new objects of the INTERNAL type using this function") + else: + if name is None or len(kwargs) > 0: + raise ValueError("When adding an existing variable object, no other arguments may be supplied") + __variable = var_or_type + if self._is_variable_registered(__variable): + raise VariableNameExistsError("A variable with this name already exists in the model") + typ = __variable.var_type + name = __variable.name + if isinstance(__variable, LinkedVariablesMixin): + __variable._variable_registry = self + if typ is RxnVariableType.BULK or typ is RxnVariableType.WALL: + self._variables.add_item_to_group("species", name, __variable) + self._inital_quality[name] = dict(global_value=None, nodes=dict(), links=dict()) + self._sources[name] = dict() + elif typ is RxnVariableType.CONST or typ is RxnVariableType.PARAM: + self._variables.add_item_to_group("coeffs", name, __variable) + elif typ is RxnVariableType.TERM: + self._variables.add_item_to_group("funcs", name, __variable) + else: + self._variables.add_item_to_group(None, name, __variable) def add_species( - self, species_type: Union[str, Literal[RxnVarType.BULK], Literal[RxnVarType.WALL]], name: str, unit: str, atol: float = None, rtol: float = None, note: str = None + self, + species_type: Union[str, Literal[RxnVariableType.BULK], Literal[RxnVariableType.WALL]], + name: str, + units: str, + atol: float = None, + rtol: float = None, + note: str = None, ) -> Species: - species_type = RxnVarType.make(species_type) - if species_type not in [RxnVarType.BULK, RxnVarType.WALL]: + """Add a new species to the model. + The atol and rtol parameters must either both be omitted or both be provided. + + Parameters + ---------- + species_type : BULK or WALL + the type of species + name : str + the name/symbol of the species + units : str + the unit of concentration used + atol : float, optional + the absolute tolerance for the solver for this species, by default None (global value) + rtol : float, optional + the relative tolerance fot the solver for this species, by default None (global value) + note : str, optional + a note or comment about this species, by default None + + Returns + ------- + Species + the new species object + + Raises + ------ + ValueError + if species_type is invalid + VariableNameExistsError + if a variable with this name already exists in the model + TypeError + if atol and rtol are not both None or both a float + """ + species_type = RxnVariableType.factory(species_type) + if species_type not in [RxnVariableType.BULK, RxnVariableType.WALL]: raise ValueError("Species must be BULK or WALL, got {:s}".format(species_type)) if self._is_variable_registered(name): raise VariableNameExistsError("The variable {} already exists in this model".format(name)) if (atol is None) ^ (rtol is None): raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) - if species_type is RxnVarType.BULK: - var = BulkSpecies(name, unit, atol, rtol, note, self) - elif species_type is RxnVarType.WALL: - var = WallSpecies(name, unit, atol, rtol, note, self) + if species_type is RxnVariableType.BULK: + var = BulkSpecies(name, units, atol, rtol, note, self) + elif species_type is RxnVariableType.WALL: + var = WallSpecies(name, units, atol, rtol, note, self) self._species[name] = var + self._inital_quality[name] = dict([('global', None), ('nodes', dict()), ('links', dict())]) + self._sources[name] = dict() return var - def add_bulk_species(self, name: str, unit: str, atol: float = None, rtol: float = None, note: str = None) -> BulkSpecies: - return self.add_species(RxnVarType.BULK, name, unit, atol, rtol, note) - - def add_wall_species(self, name: str, unit: str, atol: float = None, rtol: float = None, note: str = None) -> WallSpecies: - return self.add_species(RxnVarType.WALL, name, unit, atol, rtol, note) + def add_bulk_species(self, name: str, units: str, atol: float = None, rtol: float = None, note: str = None) -> BulkSpecies: + """Add a new bulk species to the model. + The atol and rtol parameters must either both be omitted or both be provided. + + Parameters + ---------- + name : str + the name/symbol of the species + units : str + the unit of concentration used + atol : float, optional + the absolute tolerance for the solver for this species, by default None (global value) + rtol : float, optional + the relative tolerance fot the solver for this species, by default None (global value) + note : str, optional + a note or comment about this species, by default None + + Returns + ------- + Species + the new species object + + Raises + ------ + VariableNameExistsError + if a variable with this name already exists in the model + TypeError + if atol and rtol are not both None or both a float + """ + return self.add_species(RxnVariableType.BULK, name, units, atol, rtol, note) + + def add_wall_species(self, name: str, units: str, atol: float = None, rtol: float = None, note: str = None) -> WallSpecies: + """Add a new wall species to the model. + The atol and rtol parameters must either both be omitted or both be provided. + + Parameters + ---------- + name : str + the name/symbol of the species + units : str + the unit of concentration used + atol : float, optional + the absolute tolerance for the solver for this species, by default None (global value) + rtol : float, optional + the relative tolerance fot the solver for this species, by default None (global value) + note : str, optional + a note or comment about this species, by default None + + Returns + ------- + Species + the new species object + + Raises + ------ + VariableNameExistsError + if a variable with this name already exists in the model + TypeError + if atol and rtol are not both None or both a float + """ + return self.add_species(RxnVariableType.WALL, name, units, atol, rtol, note) def add_coefficient( - self, coeff_type: Union[str, Literal[RxnVarType.CONST], Literal[RxnVarType.PARAM]], name: str, global_value: float, note: str = None, unit: str = None, **kwargs + self, coeff_type: Union[str, Literal[RxnVariableType.CONST], Literal[RxnVariableType.PARAM]], name: str, global_value: float, note: str = None, units: str = None, **kwargs ) -> Coefficient: - coeff_type = RxnVarType.make(coeff_type) - if coeff_type not in [RxnVarType.CONST, RxnVarType.PARAM]: - raise ValueError("Species must be CONST or PARAM, got {:s}".format(coeff_type)) + """Add a new coefficient to the model. + + Parameters + ---------- + coeff_type : CONST or PARAM + the type of coefficient to add + name : str + the name/symbol of the coefficient + global_value : float + the global value for the coefficient + note : str, optional + a note or comment about this coefficient, by default None + units : str, optional + a unit for this coefficient, by default None + kwargs : other keyword arguments + certain coefficient classes have additional arguments. If specified, + these will be passed to the constructor for the relevant class. + + Returns + ------- + Coefficient + the new coefficient object + + Raises + ------ + ValueError + if the coeff_type is invalid + VariableNameExistsError + if a variable with this name already exists in the model + """ + coeff_type = RxnVariableType.factory(coeff_type) + if coeff_type not in [RxnVariableType.CONST, RxnVariableType.PARAM]: + raise ValueError("coeff_type must be CONST or PARAM, got {:s}".format(coeff_type)) if self._is_variable_registered(name): raise VariableNameExistsError("The variable {} already exists in this model".format(name)) - if coeff_type is RxnVarType.CONST: - var = Constant(name=name, global_value=global_value, note=note, unit=unit, variable_registry=self) - elif coeff_type is RxnVarType.PARAM: - var = Parameter(name=name, global_value=global_value, note=note, unit=unit, variable_registry=self, **kwargs) - self._coeff[name] = var + if coeff_type is RxnVariableType.CONST: + var = Constant(name=name, global_value=global_value, note=note, units=units, variable_registry=self) + elif coeff_type is RxnVariableType.PARAM: + var = Parameter(name=name, global_value=global_value, note=note, units=units, variable_registry=self, **kwargs) + self._coeffs[name] = var return var - def add_constant_coeff(self, name: str, global_value: float, note: str = None, unit: str = None) -> Constant: - return self.add_coefficient(RxnVarType.CONST, name=name, global_value=global_value, note=note, unit=unit) + def add_constant_coeff(self, name: str, global_value: float, note: str = None, units: str = None) -> Constant: + """Add a new constant coefficient to the model. + + Parameters + ---------- + coeff_type : CONST or PARAM + the type of coefficient to add + name : str + the name/symbol of the coefficient + global_value : float + the global value for the coefficient + note : str, optional + a note or comment about this coefficient, by default None + units : str, optional + units for this coefficient, by default None + + Returns + ------- + Coefficient + the new coefficient object + + Raises + ------ + ValueError + if the coeff_type is invalid + VariableNameExistsError + if a variable with this name already exists in the model + """ + return self.add_coefficient(RxnVariableType.CONST, name=name, global_value=global_value, note=note, units=units) def add_parameterized_coeff( - self, name: str, global_value: float, note: str = None, unit: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None + self, name: str, global_value: float, note: str = None, units: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None ) -> Parameter: - return self.add_coefficient(RxnVarType.PARAM, name=name, global_value=global_value, note=note, unit=unit, _pipe_values=pipe_values, _tank_values=tank_values) + """Add a new parameterized coefficient (based on pipe/tank name) to the model. + + Parameters + ---------- + coeff_type : CONST or PARAM + the type of coefficient to add + name : str + the name/symbol of the coefficient + global_value : float + the global value for the coefficient + note : str, optional + a note or comment about this coefficient, by default None + units: str, optional + a unit for this coefficient, by default None + pipe_values : dict, optional + values for this coefficient in specifically named pipes + tank_values : dict, optional + values for this coefficient in specifically named tanks + + Returns + ------- + Coefficient + the new coefficient object + + Raises + ------ + ValueError + if the coeff_type is invalid + VariableNameExistsError + if a variable with this name already exists in the model + """ + return self.add_coefficient(RxnVariableType.PARAM, name=name, global_value=global_value, note=note, units=units, _pipe_values=pipe_values, _tank_values=tank_values) def add_other_term(self, name: str, expression: str, note: str = None) -> OtherTerm: + """Add a new user-defined function to the model. + In EPANET-MSX, these variables are called 'TERMS', and serve as shortcut aliases + to simplify reaction expressions that would otherwise become very hard to read/write + on a single line (a requirement in EPANET-MSX input files). Because 'term' is + ambiguous, this will be referred to as a 'other term' or 'simplifying term'. + + Parameters + ---------- + name : str + the name/symbol for this function (an MSX 'term') + expression : str + the symbolic expression for this function + note : str, optional + a note or comment about this function, by default None + + Returns + ------- + UserFunction + the new function or simplyifying term object + + Raises + ------ + VariableNameExistsError + if a variable with this name already exists in the model + """ if self._is_variable_registered(name): raise VariableNameExistsError("The variable {} already exists in this model".format(name)) var = OtherTerm(name=name, expression=expression, note=note, variable_registry=self) self._terms[name] = var return var - def del_variable(self, name: str): + def remove_variable(self, name: str): + if name in self._inital_quality.keys(): + self._inital_quality.__delitem__(name) + if name in self._sources.keys(): + self._sources.__delitem__(name) return self._variables.__delitem__(name) - def get_variable(self, name: str) -> ReactionVariable: + def get_variable(self, name: str) -> RxnVariable: return self._variables[name] - def reactions(self, location=None): - location = RxnLocType.make(location) - for k, v in self._dynamics.items(): + def reactions(self, location: RxnLocationType = None): + """A generator for iterating through reactions in the model. + + Parameters + ---------- + location : RxnLocationType, optional + limit results to reactions within location, by default None + + Yields + ------ + RxnReaction + a reaction defined within the model + """ + location = RxnLocationType.factory(location) + for v in self._dynamics.values(): if location is not None and v.location != location: continue - yield k, v + yield v - def add_reaction(self, location: RxnLocType, species: Union[str, Species], dynamics: Union[str, int, RxnExprType], expression: str, note: str = None): - location = RxnLocType.make(location) + def add_reaction(self, location: RxnLocationType, species: Union[str, Species], dynamics: Union[str, int, RxnDynamicsType], expression: str, note: str = None): + location = RxnLocationType.factory(location) species = str(species) - _key = ReactionDynamics.to_key(species, location) + if species not in self._species.keys(): + raise ValueError("The species {} does not exist in the model, failed to add reaction.".format(species)) + _key = RxnReaction.to_key(species, location) if _key in self._dynamics.keys(): raise RuntimeError("The species {} already has a {} reaction defined. Use set_reaction instead.") - dynamics = RxnExprType.make(dynamics) + dynamics = RxnDynamicsType.factory(dynamics) new = None - if dynamics is RxnExprType.EQUIL: + if dynamics is RxnDynamicsType.EQUIL: new = EquilibriumDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) - elif dynamics is RxnExprType.RATE: + elif dynamics is RxnDynamicsType.RATE: new = RateDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) - elif dynamics is RxnExprType.FORMULA: + elif dynamics is RxnDynamicsType.FORMULA: new = FormulaDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) else: raise ValueError("Invalid dynamics type, {}".format(dynamics)) - if location is RxnLocType.PIPE: + if location is RxnLocationType.PIPE: self._pipe_dynamics[str(new)] = new - elif location is RxnLocType.TANK: + elif location is RxnLocationType.TANK: self._tank_dynamics[str(new)] = new else: raise ValueError("Invalid location type, {}".format(location)) return new - def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnExprType], expression: str, note: str = None) -> ReactionDynamics: - return self.add_reaction(RxnLocType.PIPE, species=species, dynamics=dynamics, expression=expression, note=note) + def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnDynamicsType], expression: str, note: str = None) -> RxnReaction: + return self.add_reaction(RxnLocationType.PIPE, species=species, dynamics=dynamics, expression=expression, note=note) - def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnExprType], expression: str, note: str = None) -> ReactionDynamics: - return self.add_reaction(RxnLocType.TANK, species=species, dynamics=dynamics, expression=expression, note=note) + def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnDynamicsType], expression: str, note: str = None) -> RxnReaction: + return self.add_reaction(RxnLocationType.TANK, species=species, dynamics=dynamics, expression=expression, note=note) - def del_reaction(self, species: Union[str, Species], location: Union[str, int, RxnLocType, Literal["all"]]): + def remove_reaction(self, species: Union[str, Species], location: Union[str, int, RxnLocationType, Literal["all"]]): if location != "all": - location = RxnLocType.make(location) + location = RxnLocationType.factory(location) species = str(species) if location is None: raise TypeError('location cannot be None when removing a reaction. Use "all" for all locations.') elif location == "all": - name = ReactionDynamics.to_key(species, RxnLocType.PIPE) + name = RxnReaction.to_key(species, RxnLocationType.PIPE) try: self._pipe_dynamics.__delitem__(name) except KeyError: pass - name = ReactionDynamics.to_key(species, RxnLocType.TANK) + name = RxnReaction.to_key(species, RxnLocationType.TANK) try: self._tank_dynamics.__delitem__(name) except KeyError: pass - elif location is RxnLocType.PIPE: - name = ReactionDynamics.to_key(species, RxnLocType.PIPE) + elif location is RxnLocationType.PIPE: + name = RxnReaction.to_key(species, RxnLocationType.PIPE) try: self._pipe_dynamics.__delitem__(name) except KeyError: pass - elif location is RxnLocType.TANK: - name = ReactionDynamics.to_key(species, RxnLocType.TANK) + elif location is RxnLocationType.TANK: + name = RxnReaction.to_key(species, RxnLocationType.TANK) try: self._tank_dynamics.__delitem__(name) except KeyError: @@ -250,14 +623,14 @@ def del_reaction(self, species: Union[str, Species], location: Union[str, int, R def get_reaction(self, species, location): species = str(species) - location = RxnLocType.make(location) - if location == RxnLocType.PIPE: + location = RxnLocationType.factory(location) + if location == RxnLocationType.PIPE: return self._pipe_dynamics.get(species, None) - elif location == RxnLocType.TANK: + elif location == RxnLocationType.TANK: return self._tank_dynamics.get(species, None) def init_printing(self, *args, **kwargs): - """Call sympy.init_printing(*args, **kwargs)""" + """Call sympy.init_printing""" init_printing(*args, **kwargs) @property @@ -275,4 +648,29 @@ def link_water_network_model(self, wn: WaterNetworkModel): self._wn = wn def add_pattern(self, name, pat): - self._patterns[name] = pat \ No newline at end of file + self._patterns[name] = pat + + def to_dict(self) -> dict: + rep = dict() + rep["version"] = 'wntr.reactions-0.0.1' + rep["title"] = self.title + rep["desc"] = self.desc + rep["original_filename"] = self.filename + rep["citations"] = [(c.to_dict() if isinstance(c, Citation) else c) for c in self.citations] + rep["options"] = self._options.to_dict() + rep["variables"] = dict() + rep["variables"]["species"] = [v.to_dict() for v in self._species.values()] + rep["variables"]["coefficients"] = [v.to_dict() for v in self._coeffs.values()] + rep["variables"]["other_terms"] = [v.to_dict() for v in self._terms.values()] + rep["reactions"] = dict() + rep["reactions"]["pipes"] = [v.to_dict() for v in self._pipe_dynamics.values()] + rep["reactions"]["tanks"] = [v.to_dict() for v in self._tank_dynamics.values()] + rep["patterns"] = self._patterns.copy() + rep["initial_quality"] = self._inital_quality.copy() + rep["sources"] = dict() + for sp, v in self._sources: + if v is not None and len(v) > 0: + rep["sources"][sp] = dict() + for node, source in v: + rep["sources"][sp][node] = source.to_dict() + return rep diff --git a/wntr/reaction/options.py b/wntr/reaction/options.py index 2c2e226ee..69eb722a4 100644 --- a/wntr/reaction/options.py +++ b/wntr/reaction/options.py @@ -1,44 +1,13 @@ import re import logging import copy +from typing import Dict, List, Literal, Union from wntr.network.options import _float_or_None, _int_or_None, _OptionsBase logger = logging.getLogger(__name__) -class TimeOptions(_OptionsBase): - """ - Options related to reaction simulation. - - Parameters - ---------- - timestep : int >= 1 - Water quality timestep (seconds), by default 60 (one minute). - - """ - - _pattern1 = re.compile(r"^(\d+):(\d+):(\d+)$") - _pattern2 = re.compile(r"^(\d+):(\d+)$") - _pattern3 = re.compile(r"^(\d+)$") - - def __init__( - self, - timestep: int = 60, - ): - self.timestep = timestep - - def __setattr__(self, name, value): - if name in {"timestep"}: - try: - value = max(1, int(value)) - except ValueError: - raise ValueError("%s must be an integer >= 1" % name) - elif name not in {"timestep"}: - raise AttributeError("%s is not a valid attribute in TimeOptions" % name) - self.__dict__[name] = value - - class QualityOptions(_OptionsBase): """ Options related to water quality modeling. These options come from @@ -46,11 +15,14 @@ class QualityOptions(_OptionsBase): Parameters ---------- + timestep : int >= 1 + Water quality timestep (seconds), by default 60 (one minute). + area_units : str, optional The units of area to use in surface concentration forms, by default ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. rate_units : str, optional - The timee units to use in rate reactions, by default ``MIN``. Valid values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. + The time units to use in all rate reactions, by default ``MIN``. Valid values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. solver : str, optional The solver to use, by default ``RK5``. Options are ``RK5`` (5th order Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or ``EUL`` (Euler method). @@ -58,11 +30,11 @@ class QualityOptions(_OptionsBase): coupling : str, optional Use coupling method for solution, by default ``NONE``. Valid options are ``FULL`` or ``NONE``. - rtol : float, optional - Relative concentration tolerance, by default 1.0e-4. - atol : float, optional - Absolute concentration tolerance, by default 1.0e-4. + Absolute concentration tolerance, by default 0.01 (regardless of species concentration units). + + rtol : float, optional + Relative concentration tolerance, by default 0.001 (±0.1%). compiler : str, optional Whether to use a compiler, by default ``NONE``. Valid options are ``VC``, ``GC``, or ``NONE`` @@ -76,28 +48,46 @@ class QualityOptions(_OptionsBase): def __init__( self, + timestep: int = 360, area_units: str = "M2", rate_units: str = "MIN", solver: str = "RK5", coupling: str = "NONE", - rtol: float = 1.0e-4, atol: float = 1.0e-4, - compiler: str = "", + rtol: float = 1.0e-4, + compiler: str = "NONE", segments: int = 5000, peclet: int = 1000, + global_initial_quality: Dict[str, float] = None ): + self.timestep = timestep + """The timestep, in seconds, by default 360""" self.area_units = area_units + """The units used to express pipe wall surface area where, by default FT2. Valid values are FT2, M2, and CM2.""" self.rate_units = rate_units + """The units in which all reaction rate terms are expressed, by default HR. Valid values are HR, MIN, SEC, and DAY.""" self.solver = solver + """The solver to use, by default EUL. Valid values are EUL, RK5, and ROS2.""" self.coupling = coupling + """Whether coupling should occur during solving, by default NONE. Valid values are NONE and FULL.""" self.rtol = rtol + """The relative tolerance used during solvers ROS2 and RK5, by default 0.001 for all species. Can be overridden on a per-species basis.""" self.atol = atol + """The absolute tolerance used by the solvers, by default 0.01 for all species regardless of concentration units. Can be overridden on a per-species basis.""" self.compiler = compiler + """A compier to use if the equations should be compiled by EPANET-MSX, by default NONE. Valid options are VC, GC and NONE.""" self.segments = segments + """The number of segments per-pipe to use, by default 5000.""" self.peclet = peclet + """The threshold for applying dispersion, by default 1000.""" def __setattr__(self, name, value): - if name in ["atol", "rtol"]: + if name in {"timestep"}: + try: + value = max(1, int(value)) + except ValueError: + raise ValueError("%s must be an integer >= 1" % name) + elif name in ["atol", "rtol"]: try: value = float(value) except ValueError: @@ -125,14 +115,11 @@ class ReportOptions(_OptionsBase): Provides the filename to use for outputting an EPANET report file, by default this will be the prefix plus ".rpt". - status : str - Output solver status ("YES", "NO", "FULL"). "FULL" is only useful for debugging - - summary : str - Output summary information ("YES" or "NO") + species : dict[str, bool] + Output species concentrations - energy : str - Output energy information + species_precision : dict[str, float] + Output species concentrations with the specified precision nodes : None, "ALL", or list Output node information in report file. If a list of node names is provided, @@ -152,17 +139,23 @@ def __init__( self, pagesize: list = None, report_filename: str = None, - species: dict = None, - species_precision: dict = None, - nodes: bool = False, - links: bool = False, + species: Dict[str, bool] = None, + species_precision: Dict[str, float] = None, + nodes: Union[Literal['ALL'], List[str]] = None, + links: Union[Literal['ALL'], List[str]] = None, ): self.pagesize = pagesize + """The pagesize for the report""" self.report_filename = report_filename + """The prefix of the report filename (will add .rpt)""" self.species = species if species is not None else dict() + """Turn individual species outputs on and off, by default no species are output""" self.species_precision = species_precision if species_precision is not None else dict() + """Set the output precision for the concentration of a specific species""" self.nodes = nodes + """A list of nodes to print output for, or 'ALL' for all nodes, by default None""" self.links = links + """A list of links to print output for, or 'ALL' for all links, by default None""" def __setattr__(self, name, value): if name not in ["pagesize", "report_filename", "species", "nodes", "links", "species_precision"]: @@ -215,18 +208,13 @@ class RxnOptions(_OptionsBase): """ - def __init__(self, time: TimeOptions = None, report: ReportOptions = None, quality: QualityOptions = None, user: UserOptions = None): - self.time = TimeOptions.factory(time) + def __init__(self, report: ReportOptions = None, quality: QualityOptions = None, user: UserOptions = None): self.report = ReportOptions.factory(report) self.quality = QualityOptions.factory(quality) self.user = UserOptions.factory(user) def __setattr__(self, name, value): - if name == "time": - if not isinstance(value, (TimeOptions, dict, tuple, list)): - raise ValueError("time must be a TimeOptions or convertable object") - value = TimeOptions.factory(value) - elif name == "report": + if name == "report": if not isinstance(value, (ReportOptions, dict, tuple, list)): raise ValueError("report must be a ReportOptions or convertable object") value = ReportOptions.factory(value) diff --git a/wntr/reaction/toolkitmsx.py b/wntr/reaction/toolkitmsx.py index 3eba00e1b..6429066ff 100644 --- a/wntr/reaction/toolkitmsx.py +++ b/wntr/reaction/toolkitmsx.py @@ -16,10 +16,12 @@ import platform import sys from ctypes import byref -from ..epanet.toolkit import EpanetException, ENepanet -from ..epanet.util import SizeLimits + from pkg_resources import resource_filename +from ..epanet.toolkit import ENepanet, EpanetException +from ..epanet.util import SizeLimits + epanet_toolkit = "wntr.epanet.toolkit" if os.name in ["nt", "dos"]: @@ -472,7 +474,7 @@ def MSXgetcount(self, type): def MSXgetspecies(self, spe): """Retrieves the attributes of a chemical species given its internal index number. - species is the sequence number of the species (starting from 1 as listed in teh MSX input file_ + species is the sequence number of the species (starting from 1 as listed in the MSX input file type: MSX_BULK (defined as 0) and MSX_WALL (defined as 1) units: C_style character string array that is returned with the mass units that were defined for the species in question(hold max 15 characters) aTol returned with absolute concentration tolerance defined for the species diff --git a/wntr/reaction/variables.py b/wntr/reaction/variables.py index 1037d7d5b..b290cd056 100644 --- a/wntr/reaction/variables.py +++ b/wntr/reaction/variables.py @@ -1,31 +1,75 @@ +# -*- coding: utf-8 -*- + +""" +Classes for variables used in reaction dynamics definitions. +Defines species (chemical or biological), coefficients for equations, +"term-functions", i.e., named functions that are called "terms" in +EPANET-MSX, and internal variables, such as hydraulic variables. + +The classes in this module can be created directly. However, they are more +powerful when either, a) created using API calls on a :class:`~wntr.reaction.model.WaterNetworkModel`, +or, b) linked to a :class:`~wntr.reaction.model.WaterNetworkModel` model object after creation. +This allows for variables to be validated against other variables in the model, +avoiding naming conflicts and checking that terms used in a term-function have +been defined. + +If :class:`sympy` is installed, then there are functions available +that will convert object instances of these classes into sympy expressions +and symbols. If the instances are linked to a model, then expressions can +be expanded, validated, and even evaluated or simplified symbolically. +""" + import enum import logging +import warnings from dataclasses import InitVar, asdict, dataclass, field from enum import Enum, IntFlag from typing import Any, ClassVar, Dict, List, Set, Tuple, Union -import warnings -import sympy -from sympy import Float, Function, Symbol, init_printing, symbols -from sympy.parsing import parse_expr -from sympy.parsing.sympy_parser import convert_xor, standard_transformations +has_sympy = False +try: + from sympy import Float, Symbol, init_printing, symbols + from sympy.parsing import parse_expr + from sympy.parsing.sympy_parser import convert_xor, standard_transformations -from wntr.network.model import WaterNetworkModel + has_sympy = True +except ImportError: + sympy = None + logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") + standard_transformations = (None,) + convert_xor = None + has_sympy = False -from .base import ExpressionMixin, LinkedVariablesMixin, VariableRegistry, ReactionVariable, RxnVarType, RESERVED_NAMES +from wntr.network.model import WaterNetworkModel +from wntr.reaction.base import EXPR_TRANSFORMS + +from .base import ( + RESERVED_NAMES, + ExpressionMixin, + LinkedVariablesMixin, + MSXObject, + RxnModelRegistry, + RxnVariable, + RxnVariableType, +) logger = logging.getLogger(__name__) @dataclass(repr=False) -class Species(LinkedVariablesMixin, ReactionVariable): +class Species(MSXObject, LinkedVariablesMixin, RxnVariable): - unit: str + units: str + """The unit used for this species""" atol: InitVar[float] = None + """The absolute tolerance to use when solving for this species, by default None""" rtol: InitVar[float] = None + """The relative tolerance to use when solving for this species, by default None""" note: str = None + """A note about this species, by default None""" diffusivity: float = None - variable_registry: InitVar[VariableRegistry] = None + """The diffusivity value for this species, by default None""" + variable_registry: InitVar[RxnModelRegistry] = None def __post_init__(self, atol=None, rtol=None, reaction_model=None): if isinstance(atol, property): @@ -44,38 +88,58 @@ def __post_init__(self, atol=None, rtol=None, reaction_model=None): self._rtol = rtol self._variable_registry = reaction_model - @property - def atol(self) -> float: - return self._atol + def __repr__(self): + return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.units), self._atol, self._rtol, repr(self.note)) - @property - def rtol(self) -> float: - return self._rtol + def get_tolerances(self) -> Tuple[float, float]: + """Get the species-specific solver tolerances. - def get_tolerances(self) -> Union[Tuple[float, float], None]: + Returns + ------- + two-tuple or None + the absolute and relative tolerances, or None if the global values should be used + """ if self._atol is not None and self._rtol is not None: return (self._atol, self._rtol) return None - def set_tolerances(self, atol: float, rtol: float): - if atol is None and rtol is None: + def set_tolerances(self, absolute: float, relative: float): + """Set the species-specific solver tolerances. Using ``None`` for both will + clear the tolerances, though using :func:`clear_tolerances` is clearer code. + + Parameters + ---------- + absolute : float + the absolute solver tolerance + relative : float + the relative solver tolerance + + Raises + ------ + TypeError + if both absolute and relative are not the same type + ValueError + if either value is less-than-or-equal-to zero + """ + if absolute is None and relative is None: self._atol = self._rtol = None return try: - if not isinstance(atol, float): - atol = float(atol) - if not isinstance(rtol, float): - rtol = float(rtol) + if not isinstance(absolute, float): + absolute = float(absolute) + if not isinstance(relative, float): + relative = float(relative) except Exception as e: - raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) - if atol <= 0: - raise ValueError("Absolute tolerance atol must be greater than 0") - if rtol <= 0: - raise ValueError("Relative tolerance rtol must be greater than 0") - self._atol = atol - self._rtol = rtol + raise TypeError("absolute and relative must be the same type, got {} and {}".format(absolute, relative)) + if absolute <= 0: + raise ValueError("Absolute tolerance must be greater than 0") + if relative <= 0: + raise ValueError("Relative tolerance must be greater than 0") + self._atol = absolute + self._rtol = relative def clear_tolerances(self): + """Resets both tolerances to ``None`` to use the global values.""" self._atol = self._rtol = None def to_msx_string(self) -> str: @@ -90,36 +154,45 @@ def to_msx_string(self) -> str: return "{:s} {:s} {:s} {:s} ;{:s}".format( self.var_type.name.upper(), self.name, - self.unit, + self.units, tolstr, self.note if self.note is not None else "", ) - def __repr__(self): - return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.unit), self.atol, self.rtol, repr(self.note)) + def to_dict(self): + rep = dict(name=self.name, unist=self.units) + tols = self.get_tolerances() + if tols is not None: + rep['atol'] = tols[0] + rep['rtol'] = tols[1] + if self.note: + rep['note'] = self.note + if self.diffusivity is not None: + rep['diffusivity'] = self.diffusivity + return rep @dataclass(repr=False) class BulkSpecies(Species): @property - def var_type(self) -> RxnVarType: - return RxnVarType.BULK + def var_type(self) -> RxnVariableType: + return RxnVariableType.BULK @dataclass(repr=False) class WallSpecies(Species): @property - def var_type(self) -> RxnVarType: - return RxnVarType.WALL + def var_type(self) -> RxnVariableType: + return RxnVariableType.WALL @dataclass(repr=False) -class Coefficient(LinkedVariablesMixin, ReactionVariable): +class Coefficient(MSXObject, LinkedVariablesMixin, RxnVariable): global_value: float note: str = None - unit: str = None - variable_registry: InitVar[VariableRegistry] = None + units: str = None + variable_registry: InitVar[RxnModelRegistry] = None def __post_init__(self, reaction_model): if self.name in RESERVED_NAMES: @@ -127,6 +200,9 @@ def __post_init__(self, reaction_model): self.global_value = float(self.global_value) self._variable_registry = reaction_model + def __repr__(self): + return "{}(name={}, global_value={}, units={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.global_value), repr(self.units), repr(self.note)) + def get_value(self) -> float: return self.global_value @@ -139,26 +215,40 @@ def to_msx_string(self) -> str: self.note if self.note is not None else "", ) - def __repr__(self): - return "{}(name={}, global_value={}, unit={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.global_value), repr(self.unit), repr(self.note)) + def to_dict(self): + rep = dict(name=self.name, global_value=self.global_value) + if self.note is not None: + rep['note'] = self.note + if self.units is not None: + rep['units'] = self.units + return rep @dataclass(repr=False) class Constant(Coefficient): @property - def var_type(self) -> RxnVarType: - return RxnVarType.CONST + def var_type(self) -> RxnVariableType: + return RxnVariableType.CONST @dataclass(repr=False) class Parameter(Coefficient): _pipe_values: Dict[str, float] = field(default_factory=dict) + """A dictionary of parameter values for various pipes""" _tank_values: Dict[str, float] = field(default_factory=dict) + """A dictionary of parameter values for various tanks""" + + def __post_init__(self, reaction_model): + super().__post_init__(reaction_model) + if self._pipe_values is None: + self._pipe_values = dict() + if self._tank_values is None: + self._tank_values = dict() @property - def var_type(self) -> RxnVarType: - return RxnVarType.PARAM + def var_type(self) -> RxnVariableType: + return RxnVariableType.PARAM def get_value(self, pipe: str = None, tank: str = None) -> float: if pipe is not None and tank is not None: @@ -176,45 +266,74 @@ def pipe_values(self) -> Dict[str, float]: @property def tank_values(self) -> Dict[str, float]: return self._tank_values + + def to_dict(self): + rep = super().to_dict() + rep['pipe_values'] = self._pipe_values.copy() + rep['tank_values'] = self._tank_values.copy() + return rep @dataclass(repr=False) -class OtherTerm(LinkedVariablesMixin, ExpressionMixin, ReactionVariable): - +class OtherTerm(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnVariable): + """A function definition used as a shortcut in reaction expressions (called a 'term' in EPANET-MSX) + + Parameters + ---------- + name : str + the name/symbol of the function (term) + expression : str + the mathematical expression described by this function + note : str, optional + a note for this function, by default None + variable_registry : RxnModelRegistry + the reaction model this function is a part of + """ + + expression: str + """The expression this named-function is equivalent to""" note: str = None - variable_registry: InitVar[VariableRegistry] = field(default=None, compare=False) + """A note about this function/term""" + variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) def __post_init__(self, reaction_model): if self.name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") self._variable_registry = reaction_model - @property - def var_type(self) -> RxnVarType: - return RxnVarType.TERM + def __repr__(self): + return "{}(name={}, expression={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.expression), repr(self.note)) - def sympify(self): - raise NotImplementedError + @property + def var_type(self) -> RxnVariableType: + return RxnVariableType.TERM def to_msx_string(self) -> str: return "{:s} {:s} ;{:s}".format(self.name, self.expression, self.note if self.note is not None else "") - def __repr__(self): - return "{}(name={}, expression={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.expression), repr(self.note)) + def to_symbolic(self, transformations=...): + return super().to_symbolic(transformations) + def to_dict(self): + rep = dict(name=self.name, expression=self.expression) + if self.note is not None: + rep['note'] = self.note + return rep -@dataclass(repr=False) -class InternalVariable(ReactionVariable): - note: str = "internal variable - not output to MSX" - unit: str = None +@dataclass(repr=False) +class InternalVariable(RxnVariable): + """A hydraulic variable or a placeholder for a built-in reserved word. - @property - def var_type(self) -> RxnVarType: - return RxnVarType.INTERNAL + For example, "Len" is the EPANET-MSX name for the length of a pipe, and "I" is a sympy + reserved symbol for the imaginary number.""" - def to_msx_string(self) -> str: - raise TypeError("An InternalVariable is not part of an MSX input file") + note: str = "internal variable - not output to MSX" + units: str = None def __repr__(self): - return "{}(name={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.note)) + return "{}(name={}, note={}, units={})".format(self.__class__.__name__, repr(self.name), repr(self.note), repr(self.units)) + + @property + def var_type(self) -> RxnVariableType: + return RxnVariableType.INTERNAL diff --git a/wntr/tests/test_reactions.py b/wntr/tests/test_reactions.py index 75cc7fcc3..41d07b098 100644 --- a/wntr/tests/test_reactions.py +++ b/wntr/tests/test_reactions.py @@ -105,15 +105,15 @@ def test_BulkSpecies_creation(self): self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, "Cl", "mg", None, 0.01) species = wntr.reaction.model.BulkSpecies("Cl", "mg") self.assertEqual(species.name, "Cl") - self.assertEqual(species.unit, "mg") - self.assertEqual(species.var_type, wntr.reaction.model.RxnVarType.BULK) + self.assertEqual(species.units, "mg") + self.assertEqual(species.var_type, wntr.reaction.model.RxnVariableType.BULK) self.assertIsNone(species.atol) self.assertIsNone(species.rtol) self.assertIsNone(species.note) species = wntr.reaction.model.BulkSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.reaction.model.RxnVarType.BULK) + self.assertEqual(species.var_type, wntr.reaction.model.RxnVariableType.BULK) self.assertEqual(species.name, "Cl") - self.assertEqual(species.unit, "mg") + self.assertEqual(species.units, "mg") self.assertEqual(species.atol, 0.01) self.assertEqual(species.rtol, 0.0001) self.assertEqual(species.note, "Testing stuff") @@ -126,15 +126,15 @@ def test_WallSpecies_creation(self): self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, "Cl", "mg", None, 0.01) species = wntr.reaction.model.WallSpecies("Cl", "mg") self.assertEqual(species.name, "Cl") - self.assertEqual(species.unit, "mg") - self.assertEqual(species.var_type, wntr.reaction.model.RxnVarType.WALL) + self.assertEqual(species.units, "mg") + self.assertEqual(species.var_type, wntr.reaction.model.RxnVariableType.WALL) self.assertIsNone(species.atol) self.assertIsNone(species.rtol) self.assertIsNone(species.note) species = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.reaction.model.RxnVarType.WALL) + self.assertEqual(species.var_type, wntr.reaction.model.RxnVariableType.WALL) self.assertEqual(species.name, "Cl") - self.assertEqual(species.unit, "mg") + self.assertEqual(species.units, "mg") self.assertEqual(species.atol, 0.01) self.assertEqual(species.rtol, 0.0001) self.assertEqual(species.note, "Testing stuff") @@ -148,7 +148,7 @@ def test_Constant_creation(self): self.assertEqual(const1.name, "Kb") self.assertEqual(const1.global_value, 0.482) self.assertEqual(const1.get_value(), const1.global_value) - self.assertEqual(const1.var_type, wntr.reaction.model.RxnVarType.CONST) + self.assertEqual(const1.var_type, wntr.reaction.model.RxnVariableType.CONST) self.assertEqual(const1.note, "test") def test_Parameter_creation(self): @@ -158,7 +158,7 @@ def test_Parameter_creation(self): self.assertEqual(param1.name, "Kb") self.assertEqual(param1.global_value, 0.482) self.assertEqual(param1.get_value(), param1.global_value) - self.assertEqual(param1.var_type, wntr.reaction.model.RxnVarType.PARAM) + self.assertEqual(param1.var_type, wntr.reaction.model.RxnVariableType.PARAM) self.assertEqual(param1.note, "test") test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} @@ -172,35 +172,35 @@ def test_RxnTerm_creation(self): term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(term1.name, "T0") self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") - self.assertEqual(term1.var_type, wntr.reaction.model.RxnVarType.TERM) + self.assertEqual(term1.var_type, wntr.reaction.model.RxnVariableType.TERM) self.assertEqual(term1.note, "bar") def test_RxnExpression_strings(self): - equil1 = wntr.reaction.model.EquilibriumDynamics("Cl", wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.reaction.model.RateDynamics("Cl", wntr.reaction.model.RxnLocType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.reaction.model.FormulaDynamics("Cl", wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.reaction.model.EquilibriumDynamics("Cl", wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.reaction.model.RateDynamics("Cl", wntr.reaction.model.RxnLocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.reaction.model.FormulaDynamics("Cl", wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.to_msx_string(), "EQUIL Cl -Ka + Kb * Cl + T0 ;") self.assertEqual(rate1.to_msx_string(), "RATE Cl -Ka + Kb * Cl + T0 ;Foo Bar") self.assertEqual(formula1.to_msx_string(), "FORMULA Cl -Ka + Kb * Cl + T0 ;") def test_Equilibrium_creation(self): - equil1 = wntr.reaction.model.EquilibriumDynamics("Cl", wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.reaction.model.EquilibriumDynamics("Cl", wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.species, "Cl") self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.expr_type, wntr.reaction.model.RxnExprType.EQUIL) + self.assertEqual(equil1.expr_type, wntr.reaction.model.RxnDynamicsType.EQUIL) def test_Rate_creation(self): - rate1 = wntr.reaction.model.RateDynamics("Cl", wntr.reaction.model.RxnLocType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + rate1 = wntr.reaction.model.RateDynamics("Cl", wntr.reaction.model.RxnLocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") self.assertEqual(rate1.species, "Cl") self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(rate1.expr_type, wntr.reaction.model.RxnExprType.RATE) + self.assertEqual(rate1.expr_type, wntr.reaction.model.RxnDynamicsType.RATE) self.assertEqual(rate1.note, "Foo Bar") def test_Formula_creation(self): - formula1 = wntr.reaction.model.FormulaDynamics("Cl", wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") + formula1 = wntr.reaction.model.FormulaDynamics("Cl", wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(formula1.species, "Cl") self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.expr_type, wntr.reaction.model.RxnExprType.FORMULA) + self.assertEqual(formula1.expr_type, wntr.reaction.model.RxnDynamicsType.FORMULA) def test_WaterQualityReactionsModel_creation_specific_everything(self): rxn_model1 = wntr.reaction.model.WaterQualityReactionsModel() @@ -209,9 +209,9 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): const1 = wntr.reaction.model.Constant("Kb", 0.482) param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - equil1 = wntr.reaction.model.EquilibriumDynamics(bulk1, wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.reaction.model.RateDynamics(bulk1, wntr.reaction.model.RxnLocType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.reaction.model.FormulaDynamics(wall1, wntr.reaction.model.RxnLocType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.reaction.model.EquilibriumDynamics(bulk1, wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.reaction.model.RateDynamics(bulk1, wntr.reaction.model.RxnLocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.reaction.model.FormulaDynamics(wall1, wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") bulk2 = rxn_model1.add_bulk_species("Cl", "mg") wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") @@ -219,7 +219,7 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): param2 = rxn_model1.add_parameterized_coeff("Ka", 0.482, note="foo") term2 = rxn_model1.add_other_term("T0", "-3.2 * Kb * Cl^2", note="bar") equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") - rate2 = rxn_model1.add_tank_reaction("Cl", wntr.reaction.model.RxnExprType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") + rate2 = rxn_model1.add_tank_reaction("Cl", wntr.reaction.model.RxnDynamicsType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") formula2 = rxn_model1.add_reaction("PIPE", "ClOH", "formula", "-Ka + Kb * Cl + T0") self.assertEqual(bulk1, bulk2) self.assertEqual(wall1, wall2) @@ -239,14 +239,14 @@ def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): rxn_model2 = wntr.reaction.model.WaterQualityReactionsModel() - self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.model.RxnVarType.CONST, "Cl", "mg") + self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.model.RxnVariableType.CONST, "Cl", "mg") self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) bulk3 = rxn_model2.add_species("BULK", "Cl", "mg") - wall3 = rxn_model2.add_species(wntr.reaction.model.RxnVarType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + wall3 = rxn_model2.add_species(wntr.reaction.model.RxnVariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) - param3 = rxn_model2.add_coefficient(wntr.reaction.model.RxnVarType.P, "Ka", 0.482, note="foo") + param3 = rxn_model2.add_coefficient(wntr.reaction.model.RxnVariableType.P, "Ka", 0.482, note="foo") self.assertEqual(bulk3, bulk1) self.assertEqual(wall3, wall1) diff --git a/wntr/utils/citations.py b/wntr/utils/citations.py new file mode 100644 index 000000000..d5b970b19 --- /dev/null +++ b/wntr/utils/citations.py @@ -0,0 +1,116 @@ +# coding: utf-8 +"""Contains a dataclass that can be used to store citations. +Will output the class +""" +import datetime +from dataclasses import asdict, dataclass +from typing import Any, Dict + + +@dataclass(repr=False) +class Citation: + """A dataclass for citations, most attribute names match biblatex names. + The exceptions are :attr:`citation_class`, which is the "@..." type of an entry, + :attr:`fulldate`, which is the "date" element of a bibliography entry, + and :attr:`report_type`, which is the "type" element of a bib(la)tex entry. + + This class makes no attempt to format or represent the citation in any form + other than as a dictionary. + """ + + title: str + year: int + key: str = None + author: str = None + + # citation type/subtype (e.g., "report"/"tech. rep.") + citation_class: str = 'misc' + report_type: str = None + + # document identifiers + doi: str = None + url: str = None + isrn: str = None + isbn: str = None + issn: str = None + eprint: str = None + + # container titles + journaltitle: str = None + maintitle: str = None + booktitle: str = None + issuetitle: str = None + + # conference/proceedings info + eventtitle: str = None + eventdate: datetime.date = None + venue: str = None + + # publishing info + institution: str = None + organization: str = None + publisher: str = None + location: str = None + howpublished: str = None + language: str = None + origlanguage: str = None + + # additional people + editor: str = None + bookauthor: str = None + translator: str = None + annotator: str = None + commentator: str = None + introduction: str = None + foreword: str = None + afterword: str = None + + # identifying info + issue: str = None + series: str = None + volume: str = None + number: str = None + part: str = None + edition: str = None + version: str = None + chapter: str = None + pages: str = None + volumes: str = None + pagetotal: str = None + + # dates + month: str = None + fulldate: datetime.date = None + urldate: datetime.date = None + + # extra + note: str = None + addendum: str = None + abstract: str = None + annotation: str = None + + def to_dict(self) -> Dict[str, Any]: + """Return a dictionary representation of the citation. + All blank (None) values will be removed from the dictionary + so that it is minimal. + + Returns + ------- + Dict[str, Any] + minimal dictionary representation of the Citation + """ + d = asdict(self) + for k in list(d.keys()): + if d[k] is None: + del d[k] + return d + + def __repr__(self) -> str: + d = asdict(self) + for k in list(d.keys()): + if d[k] is None: + del d[k] + rep = self(self.__class__.__name__) + '(' + rep = rep + ', '.join(['{}={}'.format(k, repr(v)) for k, v in d.items()]) + rep = rep + ')' + return rep \ No newline at end of file From 25f18a94aee30208f0aba8922574686766c3125e Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 31 Aug 2023 13:03:20 -0600 Subject: [PATCH 011/118] Completed MSX-input file IO --- wntr/reaction/base.py | 19 +- wntr/reaction/dynamics.py | 31 ++- wntr/reaction/io.py | 431 +++++++++++++++++++++++++++++-------- wntr/reaction/model.py | 20 +- wntr/reaction/variables.py | 53 +++-- wntr/utils/citations.py | 24 ++- 6 files changed, 441 insertions(+), 137 deletions(-) diff --git a/wntr/reaction/base.py b/wntr/reaction/base.py index c01012af6..bd4e4c407 100644 --- a/wntr/reaction/base.py +++ b/wntr/reaction/base.py @@ -11,7 +11,7 @@ import logging from abc import ABC, abstractmethod, abstractproperty from collections.abc import MutableMapping -from dataclasses import InitVar, dataclass +from dataclasses import InitVar, dataclass, field from enum import Enum, IntFlag from typing import ( Any, @@ -710,3 +710,20 @@ def to_msx_string(self) -> str: the expression for use in an EPANET-MSX input file """ raise NotImplementedError + +@dataclass +class MSXComment: + pre: List[str] = field(default_factory=list) + post: str = None + + def wrap_msx_string(self, string) -> str: + if self.pre is None or len(self.pre) == 0: + if self.post is None: + return ' ' + string + else: + return ' ' + string + ' ; ' + self.post + elif self.post is None: + return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string + else: + return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string + ' ; ' + self.post + diff --git a/wntr/reaction/dynamics.py b/wntr/reaction/dynamics.py index bb1ddce74..b7e50f3ac 100644 --- a/wntr/reaction/dynamics.py +++ b/wntr/reaction/dynamics.py @@ -57,6 +57,7 @@ from .base import ( ExpressionMixin, LinkedVariablesMixin, + MSXComment, RxnDynamicsType, RxnLocationType, RxnModelRegistry, @@ -91,7 +92,7 @@ class RateDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReaction variable_registry : RxnModelRegistry, optional a link to the remainder of the larger model """ - note: str = None + note: Union[str, Dict[str, str]] = None """A note or comment about this species reaction dynamics""" variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) """A link to the reaction model with variables""" @@ -107,12 +108,16 @@ def to_symbolic(self, transformations=...): return super().to_symbolic(transformations) def to_msx_string(self) -> str: - return "{} {} {} ;{}".format(self.expr_type.name.upper(), str(self.species), self.expression, self.note if self.note else "") + return "{:<12s} {:<8s} {:<32s}".format(self.expr_type.name.upper(), str(self.species), self.expression) def to_dict(self) -> dict: rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) - if self.note is not None: + if isinstance(self.note, str): rep['note'] = self.note + elif isinstance(self.note, MSXComment): + rep['note'] = asdict(self.note) if self.note.pre else self.note.post + else: + rep['note'] = None return rep @@ -140,7 +145,7 @@ class EquilibriumDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnR a link to the remainder of the larger model """ - note: str = None + note: Union[str, Dict[str, str]] = None """A note or comment about this species reaction dynamics""" variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) """A link to the reaction model with variables""" @@ -156,12 +161,16 @@ def to_symbolic(self, transformations=...): return super().to_symbolic(transformations) def to_msx_string(self) -> str: - return "{} {} {} ;{}".format(self.expr_type.name.upper(), str(self.species), self.expression, self.note if self.note else "") + return "{:<12s} {:<8s} {:<32s}".format(self.expr_type.name.upper(), str(self.species), self.expression) def to_dict(self) -> dict: rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) - if self.note is not None: + if isinstance(self.note, str): rep['note'] = self.note + elif isinstance(self.note, MSXComment): + rep['note'] = asdict(self.note) if self.note.pre else self.note.post + else: + rep['note'] = None return rep @@ -188,7 +197,7 @@ class FormulaDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReact a link to the remainder of the larger model """ - note: str = None + note: Union[str, Dict[str, str]] = None """A note or comment about this species reaction dynamics""" variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) """A link to the reaction model with variables""" @@ -204,10 +213,14 @@ def to_symbolic(self, transformations=...): return super().to_symbolic(transformations) def to_msx_string(self) -> str: - return "{} {} {} ;{}".format(self.expr_type.name.upper(), str(self.species), self.expression, self.note if self.note else "") + return "{:<12s} {:<8s} {:<32s}".format(self.expr_type.name.upper(), str(self.species), self.expression) def to_dict(self) -> dict: rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) - if self.note is not None: + if isinstance(self.note, str): rep['note'] = self.note + elif isinstance(self.note, MSXComment): + rep['note'] = asdict(self.note) if self.note.pre else self.note.post + else: + rep['note'] = None return rep diff --git a/wntr/reaction/io.py b/wntr/reaction/io.py index 4110db4bd..8844321aa 100644 --- a/wntr/reaction/io.py +++ b/wntr/reaction/io.py @@ -1,11 +1,15 @@ # coding: utf-8 +import datetime +from io import FileIO, TextIOWrapper import logging import sys from wntr.network.elements import Source +from wntr.reaction.base import MSXComment, RxnLocationType, RxnVariableType from wntr.reaction.model import WaterQualityReactionsModel from wntr.reaction.variables import Parameter, Species +from wntr.utils.citations import Citation sys_default_enc = sys.getdefaultencoding() @@ -38,10 +42,10 @@ def _split_line(line): elif len(_vc) == 1: _vals = _vc[0].split() elif _vc[0] == "": - _cmnt = _vc[1] + _cmnt = _vc[1].strip() else: _vals = _vc[0].split() - _cmnt = _vc[1] + _cmnt = _vc[1].strip() return _vals, _cmnt @@ -161,7 +165,7 @@ def _read_title(self): def _read_options(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[OPTIONS]"]: vals, comment = _split_line(line) try: @@ -193,193 +197,209 @@ def _read_options(self): def _read_species(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[SPECIES]"]: vals, comment = _split_line(line) if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment if len(vals) not in [3, 5]: raise SyntaxError("Invalid [SPECIES] entry") + if len(vals) == 3: - species = self.rxn.add_species(vals[0], vals[1], vals[2], note=comment) + species = self.rxn.add_species(vals[0], vals[1], vals[2], note=note) elif len(vals) == 5: - species = self.rxn.add_species(vals[0], vals[1], vals[2], float(vals[3]), float(vals[4]), note=comment) + species = self.rxn.add_species(vals[0], vals[1], vals[2], float(vals[3]), float(vals[4]), note=note) except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + else: + note = MSXComment() def _read_coefficients(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[COEFFICIENTS]"]: vals, comment = _split_line(line) if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment if len(vals) != 3: raise SyntaxError("Invalid [COEFFICIENTS] entry") - coeff = self.rxn.add_coefficient(vals[0], vals[1], float(vals[2]), note=comment) + coeff = self.rxn.add_coefficient(vals[0], vals[1], float(vals[2]), note=note) except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + else: + note = MSXComment() def _read_terms(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[TERMS]"]: vals, comment = _split_line(line) if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment if len(vals) < 2: raise SyntaxError("Invalid [TERMS] entry") - term = self.rxn.add_other_term(vals[0], " ".join(vals[1:]), note=comment) + term = self.rxn.add_other_term(vals[0], " ".join(vals[1:]), note=note) except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + else: + note = MSXComment() def _read_pipes(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[PIPES]"]: vals, comment = _split_line(line) if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment if len(vals) < 3: raise SyntaxError("Invalid [PIPES] entry") - reaction = self.rxn.add_pipe_reaction(vals[1], vals[0], " ".join(vals[2:]), note=comment) + reaction = self.rxn.add_pipe_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + else: + note = MSXComment() def _read_tanks(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[TANKS]"]: vals, comment = _split_line(line) if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment if len(vals) < 3: raise SyntaxError("Invalid [TANKS] entry") - reaction = self.rxn.add_tank_reaction(vals[1], vals[0], " ".join(vals[2:]), note=comment) + reaction = self.rxn.add_tank_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + else: + note = MSXComment() def _read_sources(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[SOURCES]"]: vals, comment = _split_line(line) if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment if len(vals) == 4: typ, node, spec, strength = vals pat = None else: typ, node, spec, strength, pat = vals if not self.rxn.has_variable(spec): - raise ValueError('Undefined species in [QUALITY] section: {}'.format(spec)) + raise ValueError("Undefined species in [QUALITY] section: {}".format(spec)) if spec not in self.rxn._sources.keys(): self.rxn._sources[spec] = dict() - source = Source(None, name=spec, node_name=node, source_type=typ, strength=strength, pattern=pat) + source = dict(source_type=typ, strength=strength, pattern=pat, note=note) self.rxn._sources[spec][node] = source except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + else: + note = MSXComment() def _read_quality(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[QUALITY]"]: vals, comment = _split_line(line) - if len(vals) == 0: continue if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment if len(vals) == 4: cmd, netid, spec, concen = vals else: cmd, spec, concen = vals - if cmd[0].lower() not in ['g', 'n', 'l']: - raise SyntaxError('Unknown first word in [QUALITY] section') + if cmd[0].lower() not in ["g", "n", "l"]: + raise SyntaxError("Unknown first word in [QUALITY] section") if not self.rxn.has_variable(spec): - raise ValueError('Undefined species in [QUALITY] section: {}'.format(spec)) + raise ValueError("Undefined species in [QUALITY] section: {}".format(spec)) if spec not in self.rxn._inital_quality.keys(): self.rxn._inital_quality[spec] = dict(global_value=None, nodes=dict(), links=dict()) - if cmd[0].lower() == 'g': - self.rxn._inital_quality[spec]['global_value'] = float(concen) - elif cmd[0].lower() == 'n': - self.rxn._inital_quality[spec]['nodes'][netid] = float(concen) - elif cmd[1].lower() == 'l': - self.rxn._inital_quality[spec]['links'][netid] = float(concen) + if cmd[0].lower() == "g": + self.rxn._inital_quality[spec]["global_value"] = float(concen) + elif cmd[0].lower() == "n": + self.rxn._inital_quality[spec]["nodes"][netid] = float(concen) + elif cmd[1].lower() == "l": + self.rxn._inital_quality[spec]["links"][netid] = float(concen) except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + else: + note = MSXComment() def _read_parameters(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[PARAMETERS]"]: vals, comment = _split_line(line) if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment typ, netid, paramid, value = vals coeff = self.rxn.get_variable(paramid) if not isinstance(coeff, Parameter): raise RuntimeError("Invalid parameter {}".format(paramid)) value = float(value) if typ.lower()[0] == "p": - coeff.pipe_values[netid] = vals + coeff.pipe_values[netid] = value elif typ.lower()[0] == "t": - coeff.tank_values[netid] = vals + coeff.tank_values[netid] = value else: raise RuntimeError("Invalid parameter type {}".format(typ)) except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + else: + note = MSXComment() def _read_diffusivity(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[DIFFUSIVITY]"]: vals, comment = _split_line(line) if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment if len(vals) != 2: raise SyntaxError("Invalid [DIFFUSIVITIES] entry") species = self.rxn.get_variable(vals[0]) @@ -388,6 +408,8 @@ def _read_diffusivity(self): species.diffusivity = float(vals[1]) except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + else: + note = MSXComment() def _read_patterns(self): _patterns = dict() @@ -411,62 +433,285 @@ def _read_patterns(self): def _read_report(self): lines = [] - prev_comment = None + note = MSXComment() for lnum, line in self.sections["[REPORT]"]: vals, comment = _split_line(line) if vals is None: - prev_comment = comment + if comment is not None: + note.pre.append(comment) continue - if prev_comment is not None and comment is None: - comment = prev_comment - prev_comment = None try: + if comment is not None: + note.post = comment if len(vals) == 0: continue if len(vals) < 2: - raise SyntaxError('Invalid number of arguments in [REPORT] section') + raise SyntaxError("Invalid number of arguments in [REPORT] section") cmd = vals[0][0].lower() - if cmd == 'n': # NODES + if cmd == "n": # NODES if self.rxn._options.report.nodes is None: - if vals[1].upper() == 'ALL': - self.rxn._options.report.nodes = 'ALL' + if vals[1].upper() == "ALL": + self.rxn._options.report.nodes = "ALL" else: self.rxn._options.report.nodes = list() self.rxn._options.report.nodes.extend(vals[1:]) elif isinstance(self.rxn._options.report.nodes, list): - if vals[1].upper() == 'ALL': - self.rxn._options.report.nodes = 'ALL' + if vals[1].upper() == "ALL": + self.rxn._options.report.nodes = "ALL" else: self.rxn._options.report.nodes.extend(vals[1:]) - elif cmd == 'l': # LINKS + elif cmd == "l": # LINKS if self.rxn._options.report.links is None: - if vals[1].upper() == 'ALL': - self.rxn._options.report.links = 'ALL' + if vals[1].upper() == "ALL": + self.rxn._options.report.links = "ALL" else: self.rxn._options.report.links = list() self.rxn._options.report.links.extend(vals[1:]) elif isinstance(self.rxn._options.report.links, list): - if vals[1].upper() == 'ALL': - self.rxn._options.report.links = 'ALL' + if vals[1].upper() == "ALL": + self.rxn._options.report.links = "ALL" else: self.rxn._options.report.links.extend(vals[1:]) - elif cmd == 'f': + elif cmd == "f": self.rxn._options.report.report_filename = vals[1] - elif cmd == 'p': + elif cmd == "p": self.rxn._options.report.pagesize = vals[1] - elif cmd == 's': + elif cmd == "s": if not self.rxn.has_variable(vals[1]): - raise ValueError('Undefined species in [REPORT] section: {}'.format(vals[1])) - self.rxn._options.report.species[vals[1]] = True if vals[2].lower().startswith('y') else False + raise ValueError("Undefined species in [REPORT] section: {}".format(vals[1])) + self.rxn._options.report.species[vals[1]] = True if vals[2].lower().startswith("y") else False if len(vals) == 4: self.rxn._options.report.species_precision[vals[1]] = int(vals[3]) else: - raise SyntaxError('Invalid syntax in [REPORT] section: unknown first word') + raise SyntaxError("Invalid syntax in [REPORT] section: unknown first word") except Exception as e: raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e - - def write(self, filename, rxn_model): - pass + else: + note = MSXComment() + + def write(self, filename: str, rxn: WaterQualityReactionsModel): + self.rxn = rxn + with open(filename, "w") as fout: + + fout.write("; WNTR-reactions MSX file generated {}\n".format(datetime.datetime.now())) + fout.write("\n") + self._write_title(fout) + self._write_options(fout) + self._write_species(fout) + self._write_coefficients(fout) + self._write_terms(fout) + self._write_pipes(fout) + self._write_tanks(fout) + self._write_sources(fout) + self._write_quality(fout) + self._write_diffusivity(fout) + self._write_parameters(fout) + self._write_patterns(fout) + self._write_report(fout) + fout.write("; END of MSX file generated by WNTR\n") + + def _write_title(self, fout): + fout.write("[TITLE]\n") + fout.write(" {}\n".format(self.rxn.title)) + fout.write("\n") + # if self.rxn.desc is not None: + # desc = self.rxn.desc.splitlines() + # desc = " ".join(desc) + # fout.write("; @desc={}\n".format(desc)) + # fout.write("\n") + # if self.rxn.citations is not None: + # if isinstance(self.rxn.citations, list): + # for citation in self.rxn.citations: + # fout.write("; @cite={}\n".format(citation.to_dict() if isinstance(citation, Citation) else str(citation))) + # fout.write("\n") + # else: + # citation = self.rxn.citations + # fout.write("; @cite={}\n".format(citation.to_dict() if isinstance(citation, Citation) else str(citation))) + # fout.write("\n") + + def _write_options(self, fout): + opts = self.rxn._options + fout.write("[OPTIONS]\n") + fout.write(" AREA_UNITS {}\n".format(opts.quality.area_units.upper())) + fout.write(" RATE_UNITS {}\n".format(opts.quality.rate_units.upper())) + fout.write(" SOLVER {}\n".format(opts.quality.solver.upper())) + fout.write(" COUPLING {}\n".format(opts.quality.coupling.upper())) + fout.write(" TIMESTEP {}\n".format(opts.quality.timestep)) + fout.write(" ATOL {}\n".format(opts.quality.atol)) + fout.write(" RTOL {}\n".format(opts.quality.rtol)) + fout.write(" COMPILER {}\n".format(opts.quality.compiler.upper())) + fout.write(" SEGMENTS {}\n".format(opts.quality.segments)) + fout.write(" PECLET {}\n".format(opts.quality.peclet)) + fout.write("\n") + + def _write_species(self, fout): + fout.write("[SPECIES]\n") + for var in self.rxn.variables(var_type=RxnVariableType.BULK): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + for var in self.rxn.variables(var_type=RxnVariableType.WALL): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_coefficients(self, fout): + fout.write("[COEFFICIENTS]\n") + for var in self.rxn.variables(var_type=RxnVariableType.CONST): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + for var in self.rxn.variables(var_type=RxnVariableType.PARAM): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_terms(self, fout): + fout.write("[TERMS]\n") + for var in self.rxn.variables(var_type=RxnVariableType.TERM): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_pipes(self, fout): + fout.write("[PIPES]\n") + for var in self.rxn.reactions(location=RxnLocationType.PIPE): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_tanks(self, fout): + fout.write("[TANKS]\n") + for var in self.rxn.reactions(location=RxnLocationType.TANK): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_sources(self, fout): + fout.write("[SOURCES]\n") + for species in self.rxn._sources.keys(): + for node, src in self.rxn._sources[species].items(): + if isinstance(src["note"], MSXComment): + fout.write( + src["note"].wrap_msx_string( + "{:<10s} {:<8s} {:<8s} {:12s} {:<12s}".format(src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "") + ) + ) + elif isinstance(src["note"], str): + fout.write( + " {:<10s} {:<8s} {:<8s} {} {:<12s} ; {}\n".format( + src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "", src["note"] + ) + ) + else: + fout.write( + " {:<10s} {:<8s} {:<8s} {} {:<12s}\n".format(src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "") + ) + if src["note"] is not None: + fout.write("\n") + fout.write("\n") + + def _write_quality(self, fout): + fout.write("[QUALITY]\n") + for species in self.rxn._inital_quality.keys(): + for typ, val in self.rxn._inital_quality[species].items(): + if typ == "global_value": + fout.write(" {:<8s} {:<8s} {}\n".format("GLOBAL", species, val)) + elif typ in ["nodes", "links"]: + for node, conc in val.items(): + fout.write(" {:<8s} {:<8s} {:<8s} {}\n".format(typ.upper()[0:4], node, species, conc)) + fout.write("\n") + + def _write_parameters(self, fout): + fout.write("[PARAMETERS]\n") + for var in self.rxn.variables(var_type=RxnVariableType.PARAM): + had_entries = False + if not isinstance(var, Parameter): + pass + paramID = var.name + for pipeID, value in var.pipe_values.items(): + fout.write(" PIPE {:<8s} {:<8s} {}\n".format(pipeID, paramID, value)) + had_entries = True + for tankID, value in var.tank_values.items(): + fout.write(" PIPE {:<8s} {:<8s} {}\n".format(tankID, paramID, value)) + had_entries = True + if had_entries: + fout.write("\n") + fout.write("\n") + + def _write_patterns(self, fout): + fout.write("[PATTERNS]\n") + for pattern_name, pattern in self.rxn._patterns.items(): + num_columns = 10 + count = 0 + for i in pattern: # .multipliers: + if count % num_columns == 0: + fout.write("\n {:<8s} {:g}".format(pattern_name, i)) + else: + fout.write(" {:g}".format(i)) + count += 1 + fout.write("\n") + fout.write("\n") + + def _write_diffusivity(self, fout): + fout.write("[DIFFUSIVITY]\n") + for name in self.rxn.species_name_list: + spec: Species = self.rxn.get_variable(name) + if spec.diffusivity is not None: + fout.write(" {:<8s} {}\n".format(name, spec.diffusivity)) + fout.write("\n") + + def _write_report(self, fout): + fout.write("[REPORT]\n") + if self.rxn._options.report.nodes is not None: + if isinstance(self.rxn._options.report.nodes, str): + fout.write(" NODES {}\n".format(self.rxn.options.report.nodes)) + else: + fout.write(" NODES {}\n".format(" ".join(self.rxn.options.report.nodes))) + if self.rxn._options.report.links is not None: + if isinstance(self.rxn._options.report.links, str): + fout.write(" LINKS {}\n".format(self.rxn.options.report.links)) + else: + fout.write(" LINKS {}\n".format(" ".join(self.rxn.options.report.links))) + for spec, val in self.rxn._options.report.species.items(): + fout.write( + " SPECIES {:<8s} {:<3s} {}\n".format( + spec, + "YES" if val else "NO", + self.rxn._options.report.species_precision[spec] if spec in self.rxn._options.report.species_precision.keys() else "", + ) + ) + if self.rxn._options.report.report_filename: + fout.write(" FILE {}\n".format(self.rxn._options.report.report_filename)) + if self.rxn._options.report.pagesize: + fout.write(" PAGESIZE {}\n".format(self.rxn._options.report.pagesize)) + fout.write("\n") class MsxBinFile(object): diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index ecee8cebc..be20fb3ae 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -137,8 +137,8 @@ def __post_init__(self, allow_sympy_reserved_names=False, options=None): self._usage: Dict[str, Set[str]] = dict() # FIXME: currently no usage tracking - self._sources: Dict[str, Dict[str, Dict[str, Source]]] = dict() - self._inital_quality: Dict[str, Dict[str, Dict[str, Source]]] = dict() + self._sources: Dict[str, Dict[str, Source]] = dict() + self._inital_quality: Dict[str, Dict[str, Dict[str, float]]] = dict() self._patterns: Dict[str, Any] = dict() self._report = list() @@ -315,9 +315,9 @@ def add_species( if (atol is None) ^ (rtol is None): raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) if species_type is RxnVariableType.BULK: - var = BulkSpecies(name, units, atol, rtol, note, self) + var = BulkSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, variable_registry=self) elif species_type is RxnVariableType.WALL: - var = WallSpecies(name, units, atol, rtol, note, self) + var = WallSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, variable_registry=self) self._species[name] = var self._inital_quality[name] = dict([('global', None), ('nodes', dict()), ('links', dict())]) self._sources[name] = dict() @@ -667,10 +667,10 @@ def to_dict(self) -> dict: rep["reactions"]["tanks"] = [v.to_dict() for v in self._tank_dynamics.values()] rep["patterns"] = self._patterns.copy() rep["initial_quality"] = self._inital_quality.copy() - rep["sources"] = dict() - for sp, v in self._sources: - if v is not None and len(v) > 0: - rep["sources"][sp] = dict() - for node, source in v: - rep["sources"][sp][node] = source.to_dict() + # rep["sources"] = dict() + # for sp, v in self._sources: + # if v is not None and len(v) > 0: + # rep["sources"][sp] = dict() + # for node, source in v.items(): + # rep["sources"][sp][node] = source.to_dict() return rep diff --git a/wntr/reaction/variables.py b/wntr/reaction/variables.py index b290cd056..a29ff9b55 100644 --- a/wntr/reaction/variables.py +++ b/wntr/reaction/variables.py @@ -47,6 +47,7 @@ RESERVED_NAMES, ExpressionMixin, LinkedVariablesMixin, + MSXComment, MSXObject, RxnModelRegistry, RxnVariable, @@ -65,7 +66,7 @@ class Species(MSXObject, LinkedVariablesMixin, RxnVariable): """The absolute tolerance to use when solving for this species, by default None""" rtol: InitVar[float] = None """The relative tolerance to use when solving for this species, by default None""" - note: str = None + note: Union[str, Dict[str, str]] = None """A note about this species, by default None""" diffusivity: float = None """The diffusivity value for this species, by default None""" @@ -145,18 +146,14 @@ def clear_tolerances(self): def to_msx_string(self) -> str: tols = self.get_tolerances() if tols is None: - # tolstr = "{:<12s} {:<12s}".format("", "") tolstr = "" else: - # tolstr = "{:12.6g} {:12.6g}".format(*tols) - tolstr = "{} {}".format(*tols) - # return "{:<4s} {:<32s} {:s} {:s} ;{:s}".format( - return "{:s} {:s} {:s} {:s} ;{:s}".format( + tolstr = " {:12.6g} {:12.6g}".format(*tols) + return "{:<12s} {:<8s} {:<8s}{:s}".format( self.var_type.name.upper(), self.name, self.units, tolstr, - self.note if self.note is not None else "", ) def to_dict(self): @@ -165,10 +162,13 @@ def to_dict(self): if tols is not None: rep['atol'] = tols[0] rep['rtol'] = tols[1] - if self.note: + rep['diffusivity'] = self.diffusivity + if isinstance(self.note, str): rep['note'] = self.note - if self.diffusivity is not None: - rep['diffusivity'] = self.diffusivity + elif isinstance(self.note, MSXComment): + rep['note'] = asdict(self.note) if self.note.pre else self.note.post + else: + rep['note'] = None return rep @@ -190,7 +190,7 @@ def var_type(self) -> RxnVariableType: class Coefficient(MSXObject, LinkedVariablesMixin, RxnVariable): global_value: float - note: str = None + note: Union[str, Dict[str, str]] = None units: str = None variable_registry: InitVar[RxnModelRegistry] = None @@ -207,20 +207,25 @@ def get_value(self) -> float: return self.global_value def to_msx_string(self) -> str: - # return "{:<6s} {:<32s} {:g};{:s}".format( - return "{:s} {:s} {} ;{:s}".format( + # if self.units is not None: + # post = r' ; {"units"="' + str(self.units) + r'"}' + # else: + post = '' + return "{:<12s} {:<8s} {:<16s}{}".format( self.var_type.name.upper(), self.name, - self.global_value, - self.note if self.note is not None else "", + str(self.global_value), + post ) def to_dict(self): - rep = dict(name=self.name, global_value=self.global_value) - if self.note is not None: + rep = dict(name=self.name, global_value=self.global_value, units=self.units) + if isinstance(self.note, str): rep['note'] = self.note - if self.units is not None: - rep['units'] = self.units + elif isinstance(self.note, MSXComment): + rep['note'] = asdict(self.note) if self.note.pre else self.note.post + else: + rep['note'] = None return rep @@ -292,7 +297,7 @@ class OtherTerm(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnVariable): expression: str """The expression this named-function is equivalent to""" - note: str = None + note: Union[str, Dict[str, str]] = None """A note about this function/term""" variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) @@ -309,15 +314,19 @@ def var_type(self) -> RxnVariableType: return RxnVariableType.TERM def to_msx_string(self) -> str: - return "{:s} {:s} ;{:s}".format(self.name, self.expression, self.note if self.note is not None else "") + return "{:<8s} {:<64s}".format(self.name, self.expression) def to_symbolic(self, transformations=...): return super().to_symbolic(transformations) def to_dict(self): rep = dict(name=self.name, expression=self.expression) - if self.note is not None: + if isinstance(self.note, str): rep['note'] = self.note + elif isinstance(self.note, MSXComment): + rep['note'] = asdict(self.note) if self.note.pre else self.note.post + else: + rep['note'] = None return rep diff --git a/wntr/utils/citations.py b/wntr/utils/citations.py index d5b970b19..6306b2055 100644 --- a/wntr/utils/citations.py +++ b/wntr/utils/citations.py @@ -110,7 +110,27 @@ def __repr__(self) -> str: for k in list(d.keys()): if d[k] is None: del d[k] - rep = self(self.__class__.__name__) + '(' + rep = str(self.__class__.__name__) + '(' rep = rep + ', '.join(['{}={}'.format(k, repr(v)) for k, v in d.items()]) rep = rep + ')' - return rep \ No newline at end of file + return rep + + def shorten(self, maxlen=None) -> str: + auth = str(self.author) + if len(auth) > 48: + auth = auth[0:44] + '...' + if isinstance(self.author, list): + if len(self.author) > 3: + auth = self.author[0] + ' et al' + else: + auth = ', '.join(self.author) + year = str(self.year) + titl = str(self.title) + ref = ('doi:' + str(self.doi)) if self.doi else (str(self.url) if self.url else (str(self.eprint) if self.eprint else '')) + line = ref + (' // ' if ref else '') + auth + ' // ' + '{}'.format(year) + ' // ' + titl + if maxlen and len(line) > maxlen: + line = line[0:maxlen-3] + '...' + if maxlen and maxlen-3 < len(ref): + return ref + return line + \ No newline at end of file From bb3ec899925b36f2c8aa06edbd961f86351b8e91 Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 11 Sep 2023 10:33:51 -0600 Subject: [PATCH 012/118] Citations update --- wntr/utils/citations.py | 276 ++++++++++++++++++++++++++-------------- 1 file changed, 179 insertions(+), 97 deletions(-) diff --git a/wntr/utils/citations.py b/wntr/utils/citations.py index 6306b2055..bee7f33d1 100644 --- a/wntr/utils/citations.py +++ b/wntr/utils/citations.py @@ -3,91 +3,163 @@ Will output the class """ import datetime -from dataclasses import asdict, dataclass -from typing import Any, Dict - +from dataclasses import asdict, dataclass, field +from typing import Any, Dict, Union, List, TypeAlias, Tuple + +Literal: TypeAlias = str +Name: TypeAlias = str +NameList: TypeAlias = Union[Name, List[Name]] +LiteralList: TypeAlias = Union[Literal, List[Literal]] +Key: TypeAlias = str +KeyList: TypeAlias = Union[Key, List[Key]] +Verbatim: TypeAlias = str +Special: TypeAlias = Any +URI: TypeAlias = str +Date: TypeAlias = Union[str, datetime.date] +Range: TypeAlias = Union[str, Tuple[Any, Any]] +SeparatedValues: TypeAlias = Union[str, List[str]] @dataclass(repr=False) -class Citation: +class CitationFields: """A dataclass for citations, most attribute names match biblatex names. - The exceptions are :attr:`citation_class`, which is the "@..." type of an entry, - :attr:`fulldate`, which is the "date" element of a bibliography entry, - and :attr:`report_type`, which is the "type" element of a bib(la)tex entry. + The exceptions are :attr:`entry_type`, which is the "@..." type of an entry + :attr:`fulldate`, which is the "date" element of a bibliography entry + and :attr:`reporttype`, which is the "type" element of a bib(la)tex entry. This class makes no attempt to format or represent the citation in any form other than as a dictionary. """ - - title: str - year: int - key: str = None - author: str = None - - # citation type/subtype (e.g., "report"/"tech. rep.") - citation_class: str = 'misc' - report_type: str = None - - # document identifiers - doi: str = None - url: str = None - isrn: str = None - isbn: str = None - issn: str = None - eprint: str = None - - # container titles - journaltitle: str = None - maintitle: str = None - booktitle: str = None - issuetitle: str = None - - # conference/proceedings info - eventtitle: str = None - eventdate: datetime.date = None - venue: str = None - - # publishing info - institution: str = None - organization: str = None - publisher: str = None - location: str = None - howpublished: str = None - language: str = None - origlanguage: str = None - - # additional people - editor: str = None - bookauthor: str = None - translator: str = None - annotator: str = None - commentator: str = None - introduction: str = None - foreword: str = None - afterword: str = None - - # identifying info - issue: str = None - series: str = None - volume: str = None - number: str = None - part: str = None - edition: str = None - version: str = None - chapter: str = None - pages: str = None - volumes: str = None - pagetotal: str = None - - # dates - month: str = None - fulldate: datetime.date = None - urldate: datetime.date = None - - # extra - note: str = None - addendum: str = None - abstract: str = None - annotation: str = None + title: Literal + author: NameList = None + editor: NameList = None + date: Date = None + year: Literal = None + + abstract: Literal = None + addendum: Literal = None + afterword: NameList = None + annotation: Literal = None + annotator: NameList = None + authortype: Key = None + bookauthor: NameList = None + bookpagination: Key = None + chapter: Literal = None + commentator: NameList = None + doi: Verbatim = None + edition: Union[int, Literal] = None + editora: NameList = None + editorb: NameList = None + editorc: NameList = None + editortype: Key = None + editoratype: Key = None + editorbtype: Key = None + editorctype: Key = None + eid: Literal = None + entrysubtype: Literal = None + eprint: Verbatim = None + eprintclass: Literal = None + eprinttype: Literal = None + eventdate: Date = None + file: Verbatim = None + foreword: NameList = None + holder: NameList = None + howpublished: Literal = None + institution: LiteralList = None + introduction: NameList = None + isan: Literal = None + isbn: Literal = None + ismn: Literal = None + isrn: Literal = None + issn: Literal = None + issue: Literal = None + iswc: Literal = None + # Titles + eventtitle: Literal = None + eventtitleaddon: Literal = None + subtitle: Literal = None + titleaddon: Literal = None + journalsubtitle: Literal = None + journaltitle: Literal = None + journaltitleaddon: Literal = None + issuesubtitle: Literal = None + issuetitle: Literal = None + issuetitleaddon: Literal = None + booksubtitle: Literal = None + booktitle: Literal = None + booktitleaddon: Literal = None + mainsubtitle: Literal = None + maintitle: Literal = None + maintitleaddon: Literal = None + origtitle: Literal = None + reprinttitle: Literal = None + shorttitle: Literal = None + shortjournal: Literal = None + indextitle: Literal = None + indexsorttitle: Literal = None + sorttitle: Literal = None + # Continued + label: Literal = None + language: KeyList = None + library: Literal = None + location: LiteralList = None + month: Literal = None + nameaddon: Literal = None + note: Literal = None + number: Literal = None + organization: LiteralList = None + origdate: Date = None + origlanguage: KeyList = None + origlocation: LiteralList = None + origpublisher: LiteralList = None + pages: Range = None + pagetotal: Literal = None + pagination: Key = None + part: Literal = None + publisher: LiteralList = None + pubstate: Key = None + series: Literal = None + shortauthor: NameList = None + shorteditor: NameList = None + shorthand: Literal = None + shorthandintro: Literal = None + shortseries: Literal = None + translator: NameList = None + type: Key = None + url: URI = None + urldate: Date = None + venue: Literal = None + version: Literal = None + volume: int = None + volumes: int = None + # SPECIAL FIELDS + crossref: Key = None + entryset: SeparatedValues = None + execute: Special = None + gender: Key = None + langid: Key = None + langidopts: Special = None + ids: SeparatedValues = None + keywords: SeparatedValues = None + options: Special = None + presort: Special = None + related: SeparatedValues = None + relatedoptions: SeparatedValues = None + relatedtype: Special = None + relatedstring: Literal = None + sortkey: Literal = None + sortname: NameList = None + sortshorthand: Literal = None + sortyear: int = None + xdata: SeparatedValues = None + xref: Key = None + # FIELD ALIASES + address: LiteralList = None + annote: Literal = None + archiveprefix: Literal = None + journal: Literal = None + pdf: Verbatim = None + primaryclass: Literal = None + school: LiteralList = None def to_dict(self) -> Dict[str, Any]: """Return a dictionary representation of the citation. @@ -115,22 +187,32 @@ def __repr__(self) -> str: rep = rep + ')' return rep - def shorten(self, maxlen=None) -> str: - auth = str(self.author) - if len(auth) > 48: - auth = auth[0:44] + '...' - if isinstance(self.author, list): - if len(self.author) > 3: - auth = self.author[0] + ' et al' - else: - auth = ', '.join(self.author) - year = str(self.year) - titl = str(self.title) - ref = ('doi:' + str(self.doi)) if self.doi else (str(self.url) if self.url else (str(self.eprint) if self.eprint else '')) - line = ref + (' // ' if ref else '') + auth + ' // ' + '{}'.format(year) + ' // ' + titl - if maxlen and len(line) > maxlen: - line = line[0:maxlen-3] + '...' - if maxlen and maxlen-3 < len(ref): - return ref - return line - \ No newline at end of file + +@dataclass(repr=False) +class Citation: + entry_type: str + key: str + fields: CitationFields = field(default_factory=CitationFields) + + def __post_init__(self): + if isinstance(self.fields, dict): + self.fields = CitationFields(**self.fields) + elif isinstance(self.fields, list): + self.fields = CitationFields(*self.fields) + + def to_dict(self): + """Convert to a dictionary. + + Returns + ------- + dict + the citation dictionaries + """ + try: + ret = dict() + ret['entry_type'] = self.entry_type + ret['key'] = self.key + ret['fields'] = self.fields.to_dict() + return ret + except: + return asdict(self) From 455958d3e7a01ce28384e1ae3e600412c9723442 Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 11 Sep 2023 10:34:41 -0600 Subject: [PATCH 013/118] Adding a (very basic) citations class --- wntr/utils/citations.py | 218 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 218 insertions(+) create mode 100644 wntr/utils/citations.py diff --git a/wntr/utils/citations.py b/wntr/utils/citations.py new file mode 100644 index 000000000..bee7f33d1 --- /dev/null +++ b/wntr/utils/citations.py @@ -0,0 +1,218 @@ +# coding: utf-8 +"""Contains a dataclass that can be used to store citations. +Will output the class +""" +import datetime +from dataclasses import asdict, dataclass, field +from typing import Any, Dict, Union, List, TypeAlias, Tuple + +Literal: TypeAlias = str +Name: TypeAlias = str +NameList: TypeAlias = Union[Name, List[Name]] +LiteralList: TypeAlias = Union[Literal, List[Literal]] +Key: TypeAlias = str +KeyList: TypeAlias = Union[Key, List[Key]] +Verbatim: TypeAlias = str +Special: TypeAlias = Any +URI: TypeAlias = str +Date: TypeAlias = Union[str, datetime.date] +Range: TypeAlias = Union[str, Tuple[Any, Any]] +SeparatedValues: TypeAlias = Union[str, List[str]] + +@dataclass(repr=False) +class CitationFields: + """A dataclass for citations, most attribute names match biblatex names. + The exceptions are :attr:`entry_type`, which is the "@..." type of an entry + :attr:`fulldate`, which is the "date" element of a bibliography entry + and :attr:`reporttype`, which is the "type" element of a bib(la)tex entry. + + This class makes no attempt to format or represent the citation in any form + other than as a dictionary. + """ + title: Literal + author: NameList = None + editor: NameList = None + date: Date = None + year: Literal = None + + abstract: Literal = None + addendum: Literal = None + afterword: NameList = None + annotation: Literal = None + annotator: NameList = None + authortype: Key = None + bookauthor: NameList = None + bookpagination: Key = None + chapter: Literal = None + commentator: NameList = None + doi: Verbatim = None + edition: Union[int, Literal] = None + editora: NameList = None + editorb: NameList = None + editorc: NameList = None + editortype: Key = None + editoratype: Key = None + editorbtype: Key = None + editorctype: Key = None + eid: Literal = None + entrysubtype: Literal = None + eprint: Verbatim = None + eprintclass: Literal = None + eprinttype: Literal = None + eventdate: Date = None + file: Verbatim = None + foreword: NameList = None + holder: NameList = None + howpublished: Literal = None + institution: LiteralList = None + introduction: NameList = None + isan: Literal = None + isbn: Literal = None + ismn: Literal = None + isrn: Literal = None + issn: Literal = None + issue: Literal = None + iswc: Literal = None + # Titles + eventtitle: Literal = None + eventtitleaddon: Literal = None + subtitle: Literal = None + titleaddon: Literal = None + journalsubtitle: Literal = None + journaltitle: Literal = None + journaltitleaddon: Literal = None + issuesubtitle: Literal = None + issuetitle: Literal = None + issuetitleaddon: Literal = None + booksubtitle: Literal = None + booktitle: Literal = None + booktitleaddon: Literal = None + mainsubtitle: Literal = None + maintitle: Literal = None + maintitleaddon: Literal = None + origtitle: Literal = None + reprinttitle: Literal = None + shorttitle: Literal = None + shortjournal: Literal = None + indextitle: Literal = None + indexsorttitle: Literal = None + sorttitle: Literal = None + # Continued + label: Literal = None + language: KeyList = None + library: Literal = None + location: LiteralList = None + month: Literal = None + nameaddon: Literal = None + note: Literal = None + number: Literal = None + organization: LiteralList = None + origdate: Date = None + origlanguage: KeyList = None + origlocation: LiteralList = None + origpublisher: LiteralList = None + pages: Range = None + pagetotal: Literal = None + pagination: Key = None + part: Literal = None + publisher: LiteralList = None + pubstate: Key = None + series: Literal = None + shortauthor: NameList = None + shorteditor: NameList = None + shorthand: Literal = None + shorthandintro: Literal = None + shortseries: Literal = None + translator: NameList = None + type: Key = None + url: URI = None + urldate: Date = None + venue: Literal = None + version: Literal = None + volume: int = None + volumes: int = None + # SPECIAL FIELDS + crossref: Key = None + entryset: SeparatedValues = None + execute: Special = None + gender: Key = None + langid: Key = None + langidopts: Special = None + ids: SeparatedValues = None + keywords: SeparatedValues = None + options: Special = None + presort: Special = None + related: SeparatedValues = None + relatedoptions: SeparatedValues = None + relatedtype: Special = None + relatedstring: Literal = None + sortkey: Literal = None + sortname: NameList = None + sortshorthand: Literal = None + sortyear: int = None + xdata: SeparatedValues = None + xref: Key = None + # FIELD ALIASES + address: LiteralList = None + annote: Literal = None + archiveprefix: Literal = None + journal: Literal = None + pdf: Verbatim = None + primaryclass: Literal = None + school: LiteralList = None + + def to_dict(self) -> Dict[str, Any]: + """Return a dictionary representation of the citation. + All blank (None) values will be removed from the dictionary + so that it is minimal. + + Returns + ------- + Dict[str, Any] + minimal dictionary representation of the Citation + """ + d = asdict(self) + for k in list(d.keys()): + if d[k] is None: + del d[k] + return d + + def __repr__(self) -> str: + d = asdict(self) + for k in list(d.keys()): + if d[k] is None: + del d[k] + rep = str(self.__class__.__name__) + '(' + rep = rep + ', '.join(['{}={}'.format(k, repr(v)) for k, v in d.items()]) + rep = rep + ')' + return rep + + +@dataclass(repr=False) +class Citation: + entry_type: str + key: str + fields: CitationFields = field(default_factory=CitationFields) + + def __post_init__(self): + if isinstance(self.fields, dict): + self.fields = CitationFields(**self.fields) + elif isinstance(self.fields, list): + self.fields = CitationFields(*self.fields) + + def to_dict(self): + """Convert to a dictionary. + + Returns + ------- + dict + the citation dictionaries + """ + try: + ret = dict() + ret['entry_type'] = self.entry_type + ret['key'] = self.key + ret['fields'] = self.fields.to_dict() + return ret + except: + return asdict(self) From d746e4fa1e60428ebbd727d0e388ff854d66de4d Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 11 Sep 2023 11:01:35 -0600 Subject: [PATCH 014/118] Update documentation --- wntr/utils/citations.py | 151 ++++++++++++++++++++++++++++++++++++++-- 1 file changed, 145 insertions(+), 6 deletions(-) diff --git a/wntr/utils/citations.py b/wntr/utils/citations.py index bee7f33d1..54aeab8b9 100644 --- a/wntr/utils/citations.py +++ b/wntr/utils/citations.py @@ -1,33 +1,170 @@ # coding: utf-8 """Contains a dataclass that can be used to store citations. -Will output the class """ import datetime from dataclasses import asdict, dataclass, field from typing import Any, Dict, Union, List, TypeAlias, Tuple Literal: TypeAlias = str +"""A literal string""" Name: TypeAlias = str +"""A name string, preferrably in order without commas""" NameList: TypeAlias = Union[Name, List[Name]] +"""A list of names, or a string with "and" between names""" LiteralList: TypeAlias = Union[Literal, List[Literal]] +"""A list of literals, or a string with "and" between literals""" Key: TypeAlias = str +"""A string that comes from a limited set of values""" KeyList: TypeAlias = Union[Key, List[Key]] +"""A list of keys, or a string with "and" between keys""" Verbatim: TypeAlias = str +"""A string that should not be interpreted (ie raw)""" Special: TypeAlias = Any +"""Anything that isn't a string or list of strings""" URI: TypeAlias = str +"""A valid URI""" Date: TypeAlias = Union[str, datetime.date] +"""A date or string in yyyy-mm-dd format (must be 0-padded, eg 2021-02-02 for February 2, 2021""" Range: TypeAlias = Union[str, Tuple[Any, Any]] +"""A 2-tuple of (start,stop) or a string with two values separated by '--' """ SeparatedValues: TypeAlias = Union[str, List[str]] +"""A list of strings, or a string that is delimited (the delimiter is not specified)""" @dataclass(repr=False) class CitationFields: """A dataclass for citations, most attribute names match biblatex names. - The exceptions are :attr:`entry_type`, which is the "@..." type of an entry - :attr:`fulldate`, which is the "date" element of a bibliography entry - and :attr:`reporttype`, which is the "type" element of a bib(la)tex entry. - This class makes no attempt to format or represent the citation in any form other than as a dictionary. + + Parameters + ---------- + title: Literal + The title is the only required field + author: NameList, optional + editor: NameList, optional + date: Date, optional + year: Literal, optional + abstract: Literal, optional + addendum: Literal, optional + afterword: NameList, optional + annotation: Literal, optional + annotator: NameList, optional + authortype: Key, optional + bookauthor: NameList, optional + bookpagination: Key, optional + chapter: Literal, optional + commentator: NameList, optional + doi: Verbatim, optional + edition: Union[int, Literal], optional + editora: NameList, optional + editorb: NameList, optional + editorc: NameList, optional + editortype: Key, optional + editoratype: Key, optional + editorbtype: Key, optional + editorctype: Key, optional + eid: Literal, optional + entrysubtype: Literal, optional + eprint: Verbatim, optional + eprintclass: Literal, optional + eprinttype: Literal, optional + eventdate: Date, optional + file: Verbatim, optional + foreword: NameList, optional + holder: NameList, optional + howpublished: Literal, optional + institution: LiteralList, optional + introduction: NameList, optional + isan: Literal, optional + isbn: Literal, optional + ismn: Literal, optional + isrn: Literal, optional + issn: Literal, optional + issue: Literal, optional + iswc: Literal, optional + eventtitle: Literal, optional + eventtitleaddon: Literal, optional + subtitle: Literal, optional + titleaddon: Literal, optional + journalsubtitle: Literal, optional + journaltitle: Literal, optional + journaltitleaddon: Literal, optional + issuesubtitle: Literal, optional + issuetitle: Literal, optional + issuetitleaddon: Literal, optional + booksubtitle: Literal, optional + booktitle: Literal, optional + booktitleaddon: Literal, optional + mainsubtitle: Literal, optional + maintitle: Literal, optional + maintitleaddon: Literal, optional + origtitle: Literal, optional + reprinttitle: Literal, optional + shorttitle: Literal, optional + shortjournal: Literal, optional + indextitle: Literal, optional + indexsorttitle: Literal, optional + sorttitle: Literal, optional + label: Literal, optional + language: KeyList, optional + library: Literal, optional + location: LiteralList, optional + month: Literal, optional + nameaddon: Literal, optional + note: Literal, optional + number: Literal, optional + organization: LiteralList, optional + origdate: Date, optional + origlanguage: KeyList, optional + origlocation: LiteralList, optional + origpublisher: LiteralList, optional + pages: Range, optional + pagetotal: Literal, optional + pagination: Key, optional + part: Literal, optional + publisher: LiteralList, optional + pubstate: Key, optional + series: Literal, optional + shortauthor: NameList, optional + shorteditor: NameList, optional + shorthand: Literal, optional + shorthandintro: Literal, optional + shortseries: Literal, optional + translator: NameList, optional + type: Key, optional + url: URI, optional + urldate: Date, optional + venue: Literal, optional + version: Literal, optional + volume: int, optional + volumes: int, optional + crossref: Key, optional + entryset: SeparatedValues, optional + execute: Special, optional + gender: Key, optional + langid: Key, optional + langidopts: Special, optional + ids: SeparatedValues, optional + keywords: SeparatedValues, optional + options: Special, optional + presort: Special, optional + related: SeparatedValues, optional + relatedoptions: SeparatedValues, optional + relatedtype: Special, optional + relatedstring: Literal, optional + sortkey: Literal, optional + sortname: NameList, optional + sortshorthand: Literal, optional + sortyear: int, optional + xdata: SeparatedValues, optional + xref: Key, optional + address: LiteralList, optional + annote: Literal, optional + archiveprefix: Literal, optional + journal: Literal, optional + pdf: Verbatim, optional + primaryclass: Literal, optional + school: LiteralList, optional """ title: Literal author: NameList = None @@ -190,6 +327,8 @@ def __repr__(self) -> str: @dataclass(repr=False) class Citation: + """A class to hold a citation to document the source of a model. + """ entry_type: str key: str fields: CitationFields = field(default_factory=CitationFields) @@ -206,7 +345,7 @@ def to_dict(self): Returns ------- dict - the citation dictionaries + the citation dictionary """ try: ret = dict() From 57a9d2f6523bb736b6a6ad548336ad4348543724 Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 11 Sep 2023 15:31:23 -0600 Subject: [PATCH 015/118] Updates after internal discussion --- documentation/apidoc/wntr.utils.rst | 1 + wntr/reaction/library.py | 2 +- wntr/reaction/model.py | 7 +++++++ 3 files changed, 9 insertions(+), 1 deletion(-) diff --git a/documentation/apidoc/wntr.utils.rst b/documentation/apidoc/wntr.utils.rst index f613c8e99..749fda061 100644 --- a/documentation/apidoc/wntr.utils.rst +++ b/documentation/apidoc/wntr.utils.rst @@ -12,6 +12,7 @@ Submodules .. toctree:: + wntr.utils.citations wntr.utils.logger wntr.utils.ordered_set diff --git a/wntr/reaction/library.py b/wntr/reaction/library.py index feacbac13..6409cc017 100644 --- a/wntr/reaction/library.py +++ b/wntr/reaction/library.py @@ -88,7 +88,7 @@ lead_ppm = WaterQualityReactionsModel( title="Lead Plumbosolvency Model (from Burkhardt et al 2020)", desc="Parameters for EPA HPS Simulator Model", - citations=[Citation( + citations=[Citation( title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", year=2020, author=[ diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index be20fb3ae..5b7b3cd13 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -2,6 +2,8 @@ """ Water quality reactions model. +TODO: FIXME: Make sure that we throw the same errors (text/number) as MSX would throw + """ import logging @@ -92,6 +94,10 @@ class WaterQualityReactionsModel(RxnModelRegistry): The water network model to use, by default None """ + # FIXME: Make the __init__ just minimal, with a filename + # do the rest of stuff directly on the MSX object, make it as + # close to WNM as possible + title: str = None """A one-line title for the model""" @@ -558,6 +564,7 @@ def reactions(self, location: RxnLocationType = None): yield v def add_reaction(self, location: RxnLocationType, species: Union[str, Species], dynamics: Union[str, int, RxnDynamicsType], expression: str, note: str = None): + # TODO: accept a "both" or "all" value for location location = RxnLocationType.factory(location) species = str(species) if species not in self._species.keys(): From 74a056f40920ed28b6fe26765fd225ea1d3f0d95 Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 12 Sep 2023 15:16:33 -0600 Subject: [PATCH 016/118] Update to read/write citations on the WaterNetworkModel --- wntr/network/io.py | 2 + wntr/network/model.py | 4 + wntr/utils/citations.py | 386 +++++++++++++++++++--------------------- 3 files changed, 189 insertions(+), 203 deletions(-) diff --git a/wntr/network/io.py b/wntr/network/io.py index b8d009937..82ced0108 100644 --- a/wntr/network/io.py +++ b/wntr/network/io.py @@ -69,6 +69,7 @@ def to_dict(wn) -> dict: version="wntr-{}".format(__version__), comment="WaterNetworkModel - all values given in SI units", name=wn.name, + citations=wntr.utils.citations.to_dict(wn.citations), options=wn._options.to_dict(), curves=wn._curve_reg.to_list(), patterns=wn._pattern_reg.to_list(), @@ -103,6 +104,7 @@ def from_dict(d: dict, append=None): "version", "comment", "name", + "citations", "options", "curves", "patterns", diff --git a/wntr/network/model.py b/wntr/network/model.py index 938da1421..3c235e797 100644 --- a/wntr/network/model.py +++ b/wntr/network/model.py @@ -16,6 +16,7 @@ """ import logging from collections import OrderedDict +from typing import List, Union from warnings import warn import networkx as nx @@ -24,6 +25,7 @@ import six import wntr.epanet import wntr.network.io +from wntr.utils.citations import Citation from wntr.utils.ordered_set import OrderedSet from .base import AbstractModel, Link, LinkStatus, Registry @@ -71,6 +73,8 @@ def __init__(self, inp_file_name=None): # Network name self.name = None + self.citations: Union[str,Citation, List[Union[str,Citation]]] = list() + """A list of citations that document the source of this model. See also :class:`~wntr.utils.citations.Citation`.""" self._options = Options() self._node_reg = NodeRegistry(self) diff --git a/wntr/utils/citations.py b/wntr/utils/citations.py index 54aeab8b9..db0cba886 100644 --- a/wntr/utils/citations.py +++ b/wntr/utils/citations.py @@ -1,176 +1,154 @@ # coding: utf-8 """Contains a dataclass that can be used to store citations. """ +from __future__ import annotations +import dataclasses + import datetime -from dataclasses import asdict, dataclass, field -from typing import Any, Dict, Union, List, TypeAlias, Tuple +from dataclasses import asdict, dataclass, field, is_dataclass +from typing import Any, Dict, Union, List, Tuple -Literal: TypeAlias = str +Literal = str """A literal string""" -Name: TypeAlias = str +Name = str """A name string, preferrably in order without commas""" -NameList: TypeAlias = Union[Name, List[Name]] +NameList = Union[Name, List[Name]] """A list of names, or a string with "and" between names""" -LiteralList: TypeAlias = Union[Literal, List[Literal]] +LiteralList = Union[Literal, List[Literal]] """A list of literals, or a string with "and" between literals""" -Key: TypeAlias = str +Key = str """A string that comes from a limited set of values""" -KeyList: TypeAlias = Union[Key, List[Key]] +KeyList = Union[Key, List[Key]] """A list of keys, or a string with "and" between keys""" -Verbatim: TypeAlias = str +Verbatim = str """A string that should not be interpreted (ie raw)""" -Special: TypeAlias = Any +Special = Any """Anything that isn't a string or list of strings""" -URI: TypeAlias = str +URI = str """A valid URI""" -Date: TypeAlias = Union[str, datetime.date] +Date = Union[str, datetime.date] """A date or string in yyyy-mm-dd format (must be 0-padded, eg 2021-02-02 for February 2, 2021""" -Range: TypeAlias = Union[str, Tuple[Any, Any]] +Range = Union[str, Tuple[Any, Any]] """A 2-tuple of (start,stop) or a string with two values separated by '--' """ -SeparatedValues: TypeAlias = Union[str, List[str]] +SeparatedValues = Union[str, List[str]] """A list of strings, or a string that is delimited (the delimiter is not specified)""" -@dataclass(repr=False) -class CitationFields: - """A dataclass for citations, most attribute names match biblatex names. - This class makes no attempt to format or represent the citation in any form - other than as a dictionary. +@dataclass(repr=False) +class Citation: + """A class to hold a citation to document the source of a model. + Parameters ---------- - title: Literal - The title is the only required field - author: NameList, optional - editor: NameList, optional - date: Date, optional - year: Literal, optional - abstract: Literal, optional - addendum: Literal, optional - afterword: NameList, optional - annotation: Literal, optional - annotator: NameList, optional - authortype: Key, optional - bookauthor: NameList, optional - bookpagination: Key, optional - chapter: Literal, optional - commentator: NameList, optional - doi: Verbatim, optional - edition: Union[int, Literal], optional - editora: NameList, optional - editorb: NameList, optional - editorc: NameList, optional - editortype: Key, optional - editoratype: Key, optional - editorbtype: Key, optional - editorctype: Key, optional - eid: Literal, optional - entrysubtype: Literal, optional - eprint: Verbatim, optional - eprintclass: Literal, optional - eprinttype: Literal, optional - eventdate: Date, optional - file: Verbatim, optional - foreword: NameList, optional - holder: NameList, optional - howpublished: Literal, optional - institution: LiteralList, optional - introduction: NameList, optional - isan: Literal, optional - isbn: Literal, optional - ismn: Literal, optional - isrn: Literal, optional - issn: Literal, optional - issue: Literal, optional - iswc: Literal, optional - eventtitle: Literal, optional - eventtitleaddon: Literal, optional - subtitle: Literal, optional - titleaddon: Literal, optional - journalsubtitle: Literal, optional - journaltitle: Literal, optional - journaltitleaddon: Literal, optional - issuesubtitle: Literal, optional - issuetitle: Literal, optional - issuetitleaddon: Literal, optional - booksubtitle: Literal, optional - booktitle: Literal, optional - booktitleaddon: Literal, optional - mainsubtitle: Literal, optional - maintitle: Literal, optional - maintitleaddon: Literal, optional - origtitle: Literal, optional - reprinttitle: Literal, optional - shorttitle: Literal, optional - shortjournal: Literal, optional - indextitle: Literal, optional - indexsorttitle: Literal, optional - sorttitle: Literal, optional - label: Literal, optional - language: KeyList, optional - library: Literal, optional - location: LiteralList, optional - month: Literal, optional - nameaddon: Literal, optional - note: Literal, optional - number: Literal, optional - organization: LiteralList, optional - origdate: Date, optional - origlanguage: KeyList, optional - origlocation: LiteralList, optional - origpublisher: LiteralList, optional - pages: Range, optional - pagetotal: Literal, optional - pagination: Key, optional - part: Literal, optional - publisher: LiteralList, optional - pubstate: Key, optional - series: Literal, optional - shortauthor: NameList, optional - shorteditor: NameList, optional - shorthand: Literal, optional - shorthandintro: Literal, optional - shortseries: Literal, optional - translator: NameList, optional - type: Key, optional - url: URI, optional - urldate: Date, optional - venue: Literal, optional - version: Literal, optional - volume: int, optional - volumes: int, optional - crossref: Key, optional - entryset: SeparatedValues, optional - execute: Special, optional - gender: Key, optional - langid: Key, optional - langidopts: Special, optional - ids: SeparatedValues, optional - keywords: SeparatedValues, optional - options: Special, optional - presort: Special, optional - related: SeparatedValues, optional - relatedoptions: SeparatedValues, optional - relatedtype: Special, optional - relatedstring: Literal, optional - sortkey: Literal, optional - sortname: NameList, optional - sortshorthand: Literal, optional - sortyear: int, optional - xdata: SeparatedValues, optional - xref: Key, optional - address: LiteralList, optional - annote: Literal, optional - archiveprefix: Literal, optional - journal: Literal, optional - pdf: Verbatim, optional - primaryclass: Literal, optional - school: LiteralList, optional + entry_type : str + Describe the type of citation, for example, 'journal' or 'book'. + key : str + A key to use to identify this citation. Usually a BibTeX key or an + alphanumeric key per citation standards. + fields : CitationFields + An object that has attributes that align with different citation + fields, such as 'title' or 'author'. + """ + + entry_type: str + key: str + fields: "CitationFields" = None + + def __post_init__(self): + if self.fields is None: + self.fields = CitationFields(None) + elif isinstance(self.fields, dict): + self.fields = CitationFields(**self.fields) + elif isinstance(self.fields, list): + self.fields = CitationFields(*self.fields) + + def to_dict(self): + """Convert to a dictionary. + + Returns + ------- + dict + the citation dictionary + """ + try: + ret = dict() + ret["entry_type"] = self.entry_type + ret["key"] = self.key + ret["fields"] = self.fields.to_dict() + return ret + except: + return asdict(self) + + +@dataclass(repr=False) +class CitationFields: + """A dataclass for citation fields; field names and types are taken from BibLaTeX. + This class makes no attempt to format or represent the citation in any form + other than as a dictionary. This class also does not perform any type-checking + on fields, although it does create ``TypeAlias`` es for each field for the + user's information. Please see the BibLaTeX or BibTeX documentation for a list of + valid field names. """ - title: Literal + + title: Literal = None + """Title of the work, required for most bibliographies.""" author: NameList = None + """The author of a work. Typically, either `author` or `editor` is required.""" editor: NameList = None + """The editor of a work. Typically, either `author` or `editor` is required.""" date: Date = None + """The date the work was published. Typically, either `year` or `date` is required""" year: Literal = None + """The year the work was published. Typically, either `year` or `date` is required.""" + journal: Literal = None + """The journal an articles was published in. Both `journal` and `journaltitle` are accepted as field names.""" + journaltitle: Literal = None + """The journal an articles was published in. Both `journal` and `journaltitle` are accepted as field names.""" + doi: Verbatim = None + """The DOI identifier. Most works, and nearly all journal articles, have a DOI.""" + type: Key = None + """The (sub)type of an :attr:`Citation.entry_type`. For example, "masters" for a masters thesis.""" + + volume: int = None + """The volume for a journal or multi-volume set. Use `volumes` to list the total number of volumes in a set.""" + number: Literal = None + """The journal number within a volume, or a report number.""" + pages: Range = None + """The pages for the work.""" + eid: Literal = None + """The electronic identifier number, has replaced pages in some digital journals.""" + issue: Literal = None + """The issue if the issue is not a number, for example, 'Spring'""" + series: Literal = None + """The series name, such as 'Chemical Reviews'""" + part: Literal = None + """The part, usually for reports or multi-volume sets.""" + + eprint: Verbatim = None + """Used for alternatives to DOI, such as PubMed PMIDs. The `eprintclass` and `eprinttype` fields identify the type of ID.""" + eprintclass: Literal = None + eprinttype: Literal = None + url: URI = None + """A URL for access to a dataset or work. Use `urldate` to indicate when the URL was accessed.""" + urldate: Date = None + """The date a `url` was accessed.""" + + issuetitle: Literal = None + booktitle: Literal = None + eventtitle: Literal = None + maintitle: Literal = None + """The `maintitle`, `booktitle`, `eventtitle`, and `issuetitle` are used for containing works, such as for works within proceedings.""" + + eventdate: Date = None + + institution: LiteralList = None + organization: LiteralList = None + publisher: LiteralList = None + school: LiteralList = None + + location: LiteralList = None + address: LiteralList = None + venue: Literal = None abstract: Literal = None addendum: Literal = None @@ -182,7 +160,6 @@ class CitationFields: bookpagination: Key = None chapter: Literal = None commentator: NameList = None - doi: Verbatim = None edition: Union[int, Literal] = None editora: NameList = None editorb: NameList = None @@ -191,41 +168,29 @@ class CitationFields: editoratype: Key = None editorbtype: Key = None editorctype: Key = None - eid: Literal = None entrysubtype: Literal = None - eprint: Verbatim = None - eprintclass: Literal = None - eprinttype: Literal = None - eventdate: Date = None file: Verbatim = None foreword: NameList = None holder: NameList = None howpublished: Literal = None - institution: LiteralList = None introduction: NameList = None isan: Literal = None isbn: Literal = None ismn: Literal = None isrn: Literal = None issn: Literal = None - issue: Literal = None iswc: Literal = None # Titles - eventtitle: Literal = None eventtitleaddon: Literal = None subtitle: Literal = None titleaddon: Literal = None journalsubtitle: Literal = None - journaltitle: Literal = None journaltitleaddon: Literal = None issuesubtitle: Literal = None - issuetitle: Literal = None issuetitleaddon: Literal = None booksubtitle: Literal = None - booktitle: Literal = None booktitleaddon: Literal = None mainsubtitle: Literal = None - maintitle: Literal = None maintitleaddon: Literal = None origtitle: Literal = None reprinttitle: Literal = None @@ -238,35 +203,23 @@ class CitationFields: label: Literal = None language: KeyList = None library: Literal = None - location: LiteralList = None month: Literal = None nameaddon: Literal = None note: Literal = None - number: Literal = None - organization: LiteralList = None origdate: Date = None origlanguage: KeyList = None origlocation: LiteralList = None origpublisher: LiteralList = None - pages: Range = None pagetotal: Literal = None pagination: Key = None - part: Literal = None - publisher: LiteralList = None pubstate: Key = None - series: Literal = None shortauthor: NameList = None shorteditor: NameList = None shorthand: Literal = None shorthandintro: Literal = None shortseries: Literal = None translator: NameList = None - type: Key = None - url: URI = None - urldate: Date = None - venue: Literal = None version: Literal = None - volume: int = None volumes: int = None # SPECIAL FIELDS crossref: Key = None @@ -290,13 +243,10 @@ class CitationFields: xdata: SeparatedValues = None xref: Key = None # FIELD ALIASES - address: LiteralList = None annote: Literal = None archiveprefix: Literal = None - journal: Literal = None pdf: Verbatim = None primaryclass: Literal = None - school: LiteralList = None def to_dict(self) -> Dict[str, Any]: """Return a dictionary representation of the citation. @@ -319,39 +269,69 @@ def __repr__(self) -> str: for k in list(d.keys()): if d[k] is None: del d[k] - rep = str(self.__class__.__name__) + '(' - rep = rep + ', '.join(['{}={}'.format(k, repr(v)) for k, v in d.items()]) - rep = rep + ')' + rep = str(self.__class__.__name__) + "(" + rep = rep + ", ".join(["{}={}".format(k, repr(v)) for k, v in d.items()]) + rep = rep + ")" return rep - -@dataclass(repr=False) -class Citation: - """A class to hold a citation to document the source of a model. + +def to_jsontypes(citations): + """Convert a Citation, list of citations, or dictionary of citations to a JSON mapping. + + Parameters + ---------- + citations : Citation, List[Citation], Any + the citation(s) to convert + + Returns + ------- + JSON valid object + dictionary, list, or scalar """ - entry_type: str - key: str - fields: CitationFields = field(default_factory=CitationFields) + if isinstance(citations, str): + return citations + elif not isinstance(citations, list) and hasattr(citations, 'to_dict'): + return citations.to_dict() + elif is_dataclass(citations.__class__): + return asdict(citations) + elif isinstance(citations, (list, tuple)): + ret = list() + for obj in citations: + ret.append(to_jsontypes(obj)) + return ret + elif isinstance(citations, dict): + ret = dict() + for key, obj in citations.items(): + ret[key] = to_jsontypes(obj) + return ret + else: + return str(citations) - def __post_init__(self): - if isinstance(self.fields, dict): - self.fields = CitationFields(**self.fields) - elif isinstance(self.fields, list): - self.fields = CitationFields(*self.fields) +def from_jsontypes(citations): + """Convert a JSON mapping or list of mappings to a Citation structure. - def to_dict(self): - """Convert to a dictionary. + Parameters + ---------- + citations : dict, list[dict] + a dictionary or list of dictionaries to convert to Citation objects or leave as strings. - Returns - ------- - dict - the citation dictionary - """ + Returns + ------- + Any + the converted objects + """ + if isinstance(citations, list): + ret = list() + for obj in citations: + ret.append(from_jsontypes(obj)) + return ret + elif isinstance(citations, dict): try: - ret = dict() - ret['entry_type'] = self.entry_type - ret['key'] = self.key - ret['fields'] = self.fields.to_dict() - return ret + ret = Citation(**citations) except: - return asdict(self) + ret = dict() + for key, obj in citations.items(): + ret[key] = from_jsontypes(citations) + return ret + elif isinstance(citations, str): + return ret From b19122e7eb17ec1a5ead0e7fda89230949a550c9 Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 12 Sep 2023 15:17:24 -0600 Subject: [PATCH 017/118] Documentation updates --- documentation/apidoc/wntr.utils.citations.rst | 7 +++++++ documentation/apidoc/wntr.utils.rst | 2 +- documentation/conf.py | 1 + 3 files changed, 9 insertions(+), 1 deletion(-) create mode 100644 documentation/apidoc/wntr.utils.citations.rst diff --git a/documentation/apidoc/wntr.utils.citations.rst b/documentation/apidoc/wntr.utils.citations.rst new file mode 100644 index 000000000..c7de4e437 --- /dev/null +++ b/documentation/apidoc/wntr.utils.citations.rst @@ -0,0 +1,7 @@ +wntr.utils.citations module +=========================== + +.. automodule:: wntr.utils.citations + :members: + :no-undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.rst b/documentation/apidoc/wntr.utils.rst index f613c8e99..64da68587 100644 --- a/documentation/apidoc/wntr.utils.rst +++ b/documentation/apidoc/wntr.utils.rst @@ -14,4 +14,4 @@ Submodules wntr.utils.logger wntr.utils.ordered_set - + wntr.utils.citations diff --git a/documentation/conf.py b/documentation/conf.py index 38819bec8..7e7097856 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -106,6 +106,7 @@ # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True +autodoc_type_aliases = {'Literal': 'Literal', 'Name':'Name', 'NameList':'NameList', 'LiteralList':'LiteralList', 'Key':'Key', 'KeyList':'KeyList','Verbatim': 'Verbatim', 'URI': 'URI', 'Date':'Date', 'Range':'Range', 'SeparatedValues':'SeparatedValues'} # If true, the current module name will be prepended to all description # unit titles (such as .. function::). From d4c31b54f181c8ee089fa7548eb11a69cd9a8e36 Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 12 Sep 2023 15:40:27 -0600 Subject: [PATCH 018/118] Update to add basic citation class --- documentation/apidoc/wntr.utils.citations.rst | 7 + documentation/apidoc/wntr.utils.rst | 3 +- wntr/network/io.py | 5 + wntr/network/model.py | 4 + wntr/utils/citations.py | 337 ++++++++++++++++++ 5 files changed, 355 insertions(+), 1 deletion(-) create mode 100644 documentation/apidoc/wntr.utils.citations.rst create mode 100644 wntr/utils/citations.py diff --git a/documentation/apidoc/wntr.utils.citations.rst b/documentation/apidoc/wntr.utils.citations.rst new file mode 100644 index 000000000..c7de4e437 --- /dev/null +++ b/documentation/apidoc/wntr.utils.citations.rst @@ -0,0 +1,7 @@ +wntr.utils.citations module +=========================== + +.. automodule:: wntr.utils.citations + :members: + :no-undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.rst b/documentation/apidoc/wntr.utils.rst index f613c8e99..e4f3145d6 100644 --- a/documentation/apidoc/wntr.utils.rst +++ b/documentation/apidoc/wntr.utils.rst @@ -12,6 +12,7 @@ Submodules .. toctree:: + wntr.utils.citations wntr.utils.logger wntr.utils.ordered_set - + wntr.utils.citations diff --git a/wntr/network/io.py b/wntr/network/io.py index b8d009937..684388037 100644 --- a/wntr/network/io.py +++ b/wntr/network/io.py @@ -31,6 +31,7 @@ import wntr.epanet from wntr.epanet.util import FlowUnits import wntr.network.model +import wntr.utils.citations from wntr.gis.network import WaterNetworkGIS try: import geopandas as gpd @@ -69,6 +70,7 @@ def to_dict(wn) -> dict: version="wntr-{}".format(__version__), comment="WaterNetworkModel - all values given in SI units", name=wn.name, + citations=wntr.utils.citations.to_jsontypes(wn.citations), options=wn._options.to_dict(), curves=wn._curve_reg.to_list(), patterns=wn._pattern_reg.to_list(), @@ -103,6 +105,7 @@ def from_dict(d: dict, append=None): "version", "comment", "name", + "citations", "options", "curves", "patterns", @@ -120,6 +123,8 @@ def from_dict(d: dict, append=None): wn = append if "name" in d: wn.name = d["name"] + if "citations" in d: + wn.citations = wntr.utils.citations.from_jsontypes(d["citations"]) if "options" in d: wn.options.__init__(**d["options"]) if "curves" in d: diff --git a/wntr/network/model.py b/wntr/network/model.py index 938da1421..3c235e797 100644 --- a/wntr/network/model.py +++ b/wntr/network/model.py @@ -16,6 +16,7 @@ """ import logging from collections import OrderedDict +from typing import List, Union from warnings import warn import networkx as nx @@ -24,6 +25,7 @@ import six import wntr.epanet import wntr.network.io +from wntr.utils.citations import Citation from wntr.utils.ordered_set import OrderedSet from .base import AbstractModel, Link, LinkStatus, Registry @@ -71,6 +73,8 @@ def __init__(self, inp_file_name=None): # Network name self.name = None + self.citations: Union[str,Citation, List[Union[str,Citation]]] = list() + """A list of citations that document the source of this model. See also :class:`~wntr.utils.citations.Citation`.""" self._options = Options() self._node_reg = NodeRegistry(self) diff --git a/wntr/utils/citations.py b/wntr/utils/citations.py new file mode 100644 index 000000000..db0cba886 --- /dev/null +++ b/wntr/utils/citations.py @@ -0,0 +1,337 @@ +# coding: utf-8 +"""Contains a dataclass that can be used to store citations. +""" +from __future__ import annotations +import dataclasses + +import datetime +from dataclasses import asdict, dataclass, field, is_dataclass +from typing import Any, Dict, Union, List, Tuple + +Literal = str +"""A literal string""" +Name = str +"""A name string, preferrably in order without commas""" +NameList = Union[Name, List[Name]] +"""A list of names, or a string with "and" between names""" +LiteralList = Union[Literal, List[Literal]] +"""A list of literals, or a string with "and" between literals""" +Key = str +"""A string that comes from a limited set of values""" +KeyList = Union[Key, List[Key]] +"""A list of keys, or a string with "and" between keys""" +Verbatim = str +"""A string that should not be interpreted (ie raw)""" +Special = Any +"""Anything that isn't a string or list of strings""" +URI = str +"""A valid URI""" +Date = Union[str, datetime.date] +"""A date or string in yyyy-mm-dd format (must be 0-padded, eg 2021-02-02 for February 2, 2021""" +Range = Union[str, Tuple[Any, Any]] +"""A 2-tuple of (start,stop) or a string with two values separated by '--' """ +SeparatedValues = Union[str, List[str]] +"""A list of strings, or a string that is delimited (the delimiter is not specified)""" + + +@dataclass(repr=False) +class Citation: + """A class to hold a citation to document the source of a model. + + Parameters + ---------- + entry_type : str + Describe the type of citation, for example, 'journal' or 'book'. + key : str + A key to use to identify this citation. Usually a BibTeX key or an + alphanumeric key per citation standards. + fields : CitationFields + An object that has attributes that align with different citation + fields, such as 'title' or 'author'. + """ + + entry_type: str + key: str + fields: "CitationFields" = None + + def __post_init__(self): + if self.fields is None: + self.fields = CitationFields(None) + elif isinstance(self.fields, dict): + self.fields = CitationFields(**self.fields) + elif isinstance(self.fields, list): + self.fields = CitationFields(*self.fields) + + def to_dict(self): + """Convert to a dictionary. + + Returns + ------- + dict + the citation dictionary + """ + try: + ret = dict() + ret["entry_type"] = self.entry_type + ret["key"] = self.key + ret["fields"] = self.fields.to_dict() + return ret + except: + return asdict(self) + + +@dataclass(repr=False) +class CitationFields: + """A dataclass for citation fields; field names and types are taken from BibLaTeX. + This class makes no attempt to format or represent the citation in any form + other than as a dictionary. This class also does not perform any type-checking + on fields, although it does create ``TypeAlias`` es for each field for the + user's information. Please see the BibLaTeX or BibTeX documentation for a list of + valid field names. + """ + + title: Literal = None + """Title of the work, required for most bibliographies.""" + author: NameList = None + """The author of a work. Typically, either `author` or `editor` is required.""" + editor: NameList = None + """The editor of a work. Typically, either `author` or `editor` is required.""" + date: Date = None + """The date the work was published. Typically, either `year` or `date` is required""" + year: Literal = None + """The year the work was published. Typically, either `year` or `date` is required.""" + journal: Literal = None + """The journal an articles was published in. Both `journal` and `journaltitle` are accepted as field names.""" + journaltitle: Literal = None + """The journal an articles was published in. Both `journal` and `journaltitle` are accepted as field names.""" + doi: Verbatim = None + """The DOI identifier. Most works, and nearly all journal articles, have a DOI.""" + type: Key = None + """The (sub)type of an :attr:`Citation.entry_type`. For example, "masters" for a masters thesis.""" + + volume: int = None + """The volume for a journal or multi-volume set. Use `volumes` to list the total number of volumes in a set.""" + number: Literal = None + """The journal number within a volume, or a report number.""" + pages: Range = None + """The pages for the work.""" + eid: Literal = None + """The electronic identifier number, has replaced pages in some digital journals.""" + issue: Literal = None + """The issue if the issue is not a number, for example, 'Spring'""" + series: Literal = None + """The series name, such as 'Chemical Reviews'""" + part: Literal = None + """The part, usually for reports or multi-volume sets.""" + + eprint: Verbatim = None + """Used for alternatives to DOI, such as PubMed PMIDs. The `eprintclass` and `eprinttype` fields identify the type of ID.""" + eprintclass: Literal = None + eprinttype: Literal = None + url: URI = None + """A URL for access to a dataset or work. Use `urldate` to indicate when the URL was accessed.""" + urldate: Date = None + """The date a `url` was accessed.""" + + issuetitle: Literal = None + booktitle: Literal = None + eventtitle: Literal = None + maintitle: Literal = None + """The `maintitle`, `booktitle`, `eventtitle`, and `issuetitle` are used for containing works, such as for works within proceedings.""" + + eventdate: Date = None + + institution: LiteralList = None + organization: LiteralList = None + publisher: LiteralList = None + school: LiteralList = None + + location: LiteralList = None + address: LiteralList = None + venue: Literal = None + + abstract: Literal = None + addendum: Literal = None + afterword: NameList = None + annotation: Literal = None + annotator: NameList = None + authortype: Key = None + bookauthor: NameList = None + bookpagination: Key = None + chapter: Literal = None + commentator: NameList = None + edition: Union[int, Literal] = None + editora: NameList = None + editorb: NameList = None + editorc: NameList = None + editortype: Key = None + editoratype: Key = None + editorbtype: Key = None + editorctype: Key = None + entrysubtype: Literal = None + file: Verbatim = None + foreword: NameList = None + holder: NameList = None + howpublished: Literal = None + introduction: NameList = None + isan: Literal = None + isbn: Literal = None + ismn: Literal = None + isrn: Literal = None + issn: Literal = None + iswc: Literal = None + # Titles + eventtitleaddon: Literal = None + subtitle: Literal = None + titleaddon: Literal = None + journalsubtitle: Literal = None + journaltitleaddon: Literal = None + issuesubtitle: Literal = None + issuetitleaddon: Literal = None + booksubtitle: Literal = None + booktitleaddon: Literal = None + mainsubtitle: Literal = None + maintitleaddon: Literal = None + origtitle: Literal = None + reprinttitle: Literal = None + shorttitle: Literal = None + shortjournal: Literal = None + indextitle: Literal = None + indexsorttitle: Literal = None + sorttitle: Literal = None + # Continued + label: Literal = None + language: KeyList = None + library: Literal = None + month: Literal = None + nameaddon: Literal = None + note: Literal = None + origdate: Date = None + origlanguage: KeyList = None + origlocation: LiteralList = None + origpublisher: LiteralList = None + pagetotal: Literal = None + pagination: Key = None + pubstate: Key = None + shortauthor: NameList = None + shorteditor: NameList = None + shorthand: Literal = None + shorthandintro: Literal = None + shortseries: Literal = None + translator: NameList = None + version: Literal = None + volumes: int = None + # SPECIAL FIELDS + crossref: Key = None + entryset: SeparatedValues = None + execute: Special = None + gender: Key = None + langid: Key = None + langidopts: Special = None + ids: SeparatedValues = None + keywords: SeparatedValues = None + options: Special = None + presort: Special = None + related: SeparatedValues = None + relatedoptions: SeparatedValues = None + relatedtype: Special = None + relatedstring: Literal = None + sortkey: Literal = None + sortname: NameList = None + sortshorthand: Literal = None + sortyear: int = None + xdata: SeparatedValues = None + xref: Key = None + # FIELD ALIASES + annote: Literal = None + archiveprefix: Literal = None + pdf: Verbatim = None + primaryclass: Literal = None + + def to_dict(self) -> Dict[str, Any]: + """Return a dictionary representation of the citation. + All blank (None) values will be removed from the dictionary + so that it is minimal. + + Returns + ------- + Dict[str, Any] + minimal dictionary representation of the Citation + """ + d = asdict(self) + for k in list(d.keys()): + if d[k] is None: + del d[k] + return d + + def __repr__(self) -> str: + d = asdict(self) + for k in list(d.keys()): + if d[k] is None: + del d[k] + rep = str(self.__class__.__name__) + "(" + rep = rep + ", ".join(["{}={}".format(k, repr(v)) for k, v in d.items()]) + rep = rep + ")" + return rep + + +def to_jsontypes(citations): + """Convert a Citation, list of citations, or dictionary of citations to a JSON mapping. + + Parameters + ---------- + citations : Citation, List[Citation], Any + the citation(s) to convert + + Returns + ------- + JSON valid object + dictionary, list, or scalar + """ + if isinstance(citations, str): + return citations + elif not isinstance(citations, list) and hasattr(citations, 'to_dict'): + return citations.to_dict() + elif is_dataclass(citations.__class__): + return asdict(citations) + elif isinstance(citations, (list, tuple)): + ret = list() + for obj in citations: + ret.append(to_jsontypes(obj)) + return ret + elif isinstance(citations, dict): + ret = dict() + for key, obj in citations.items(): + ret[key] = to_jsontypes(obj) + return ret + else: + return str(citations) + +def from_jsontypes(citations): + """Convert a JSON mapping or list of mappings to a Citation structure. + + Parameters + ---------- + citations : dict, list[dict] + a dictionary or list of dictionaries to convert to Citation objects or leave as strings. + + Returns + ------- + Any + the converted objects + """ + if isinstance(citations, list): + ret = list() + for obj in citations: + ret.append(from_jsontypes(obj)) + return ret + elif isinstance(citations, dict): + try: + ret = Citation(**citations) + except: + ret = dict() + for key, obj in citations.items(): + ret[key] = from_jsontypes(citations) + return ret + elif isinstance(citations, str): + return ret From a2b0c4f64d0078bea2d8b87c6487ad8f59e77a67 Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 12 Sep 2023 15:51:03 -0600 Subject: [PATCH 019/118] Getting rid of merge conflict --- wntr/network/io.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/wntr/network/io.py b/wntr/network/io.py index 82ced0108..684388037 100644 --- a/wntr/network/io.py +++ b/wntr/network/io.py @@ -31,6 +31,7 @@ import wntr.epanet from wntr.epanet.util import FlowUnits import wntr.network.model +import wntr.utils.citations from wntr.gis.network import WaterNetworkGIS try: import geopandas as gpd @@ -69,7 +70,7 @@ def to_dict(wn) -> dict: version="wntr-{}".format(__version__), comment="WaterNetworkModel - all values given in SI units", name=wn.name, - citations=wntr.utils.citations.to_dict(wn.citations), + citations=wntr.utils.citations.to_jsontypes(wn.citations), options=wn._options.to_dict(), curves=wn._curve_reg.to_list(), patterns=wn._pattern_reg.to_list(), @@ -122,6 +123,8 @@ def from_dict(d: dict, append=None): wn = append if "name" in d: wn.name = d["name"] + if "citations" in d: + wn.citations = wntr.utils.citations.from_jsontypes(d["citations"]) if "options" in d: wn.options.__init__(**d["options"]) if "curves" in d: From 60af118f6016c728e62216d9ec2c3a5e83536df2 Mon Sep 17 00:00:00 2001 From: David Hart Date: Sat, 16 Sep 2023 13:18:48 -0600 Subject: [PATCH 020/118] Exceptions (#133) * Update to exception documentation * Update documentation for EN errors --- .../apidoc/wntr.epanet.exceptions.rst | 7 + documentation/apidoc/wntr.epanet.rst | 1 + wntr/epanet/__init__.py | 2 +- wntr/epanet/exceptions.py | 153 +++++++++++++++++- 4 files changed, 159 insertions(+), 4 deletions(-) create mode 100644 documentation/apidoc/wntr.epanet.exceptions.rst diff --git a/documentation/apidoc/wntr.epanet.exceptions.rst b/documentation/apidoc/wntr.epanet.exceptions.rst new file mode 100644 index 000000000..6cb9d9029 --- /dev/null +++ b/documentation/apidoc/wntr.epanet.exceptions.rst @@ -0,0 +1,7 @@ +wntr.epanet.exceptions module +============================= + +.. automodule:: wntr.epanet.exceptions + :members: + :no-undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.epanet.rst b/documentation/apidoc/wntr.epanet.rst index 613df4e41..1af96c98b 100644 --- a/documentation/apidoc/wntr.epanet.rst +++ b/documentation/apidoc/wntr.epanet.rst @@ -12,6 +12,7 @@ Submodules .. toctree:: + wntr.epanet.exceptions wntr.epanet.io wntr.epanet.toolkit wntr.epanet.util diff --git a/wntr/epanet/__init__.py b/wntr/epanet/__init__.py index 272572d1c..de5a4f410 100644 --- a/wntr/epanet/__init__.py +++ b/wntr/epanet/__init__.py @@ -4,4 +4,4 @@ from .io import InpFile #, BinFile, HydFile, RptFile from .util import FlowUnits, MassUnits, HydParam, QualParam, EN import wntr.epanet.toolkit - +import wntr.epanet.exceptions diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index 6672cc95e..0cc6dbc01 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -1,3 +1,6 @@ +# coding: utf-8 +"""Exceptions for EPANET toolkit and IO operations.""" + from enum import IntEnum from typing import List @@ -79,84 +82,181 @@ 308: "cannot save results to binary file %s", 309: "cannot save results to report file %s", } +"""A dictionary of the error codes and their meanings from the EPANET toolkit. +See :class:`EpanetErrors` for the documentation of each code number. + +:meta hide-value: +""" -class EpanetErrors(IntEnum): +class EpanetErrorEnum(IntEnum): + """A list of short phrases that can be used in place of the error code numbers.""" + warn_unbalanced = 1 + """system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials""" + warn_unstable = 2 + """system may be hydraulically unstable - hydraulic convergence was only achieved after the status of all links was held fixed""" + warn_disconnected = 3 + """system disconnected - one or more nodes with positive demands were disconnected for all supply sources""" + warn_pumps = 4 + """pumps cannot deliver enough flow or head - one or more pumps were forced to either shut down (due to insufficient head) or operate beyond the maximum rated flow""" + warn_valves = 5 + """vavles cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open""" + warn_pressures = 6 + """system has negative pressures - negative pressures occurred at one or more junctions with positive demand""" insufficient_memory = 101 + """insufficient memory available""" no_network = 102 + """no network data available""" no_init_hyd = 103 + """hydraulics not initialized""" no_hydraulics = 104 + """no hydraulics for water quality analysis""" no_init_qual = 105 + """water quality not initialized""" no_results = 106 + """no results saved to report on""" hyd_file = 107 + """hydraulics supplied from external file""" hyd_init_and_hyd_file = 108 + """cannot use external file while hydraulics solver is active""" modify_time_during_solve = 109 + """cannot change time parameter when solver is active""" solve_hyd_fail = 110 + """cannot solve network hydraulic equations""" solve_qual_fail = 120 + """cannot solve water quality transport equations""" input_file_error = 200 + """one or more errors in input file""" syntax_error = 201 + """syntax error""" illegal_numeric_value = 202 + """illegal numeric value""" undefined_node = 203 + """undefined node""" undefined_link = 204 + """undefined link""" undefined_pattern = 205 + """undefined time pattern""" undefined_curve = 206 + """undefined curve""" control_on_cv_gpv = 207 + """attempt to control a CV/GPV link""" illegal_pda_limits = 208 + """illegal PDA pressure limits""" illegal_node_property = 209 + """illegal node property value""" illegal_link_property = 211 + """illegal link property value""" undefined_trace_node = 212 + """undefined trace node""" invalid_option_value = 213 + """invalid option value""" too_many_chars_inp = 214 + """too many characters in input line""" duplicate_id = 215 + """duplicate ID label""" undefined_pump = 216 + """reference to undefined pump""" invalid_energy_value = 217 + """pump has no head curve or power defined""" illegal_valve_tank = 219 + """illegal valve connection to tank node""" illegal_tank_valve = 219 + """illegal valve connection to tank node""" illegal_valve_valve = 220 + """illegal valve connection to another valve""" misplaced_rule = 221 + """misplaced rule clause in rule-based control""" link_to_self = 222 + """link assigned same start and end nodes""" not_enough_nodes = 223 + """not enough nodes in network""" no_tanks_or_res = 224 + """no tanks or reservoirs in network""" invalid_tank_levels = 225 + """invalid lower/upper levels for tank""" missing_pump_data = 226 + """no head curve or power rating for pump""" invalid_head_curve = 227 + """invalid head curve for pump""" nonincreasing_x_curve = 230 + """nonincreasing x-values for curve""" unconnected_node = 233 + """network has unconnected node""" unconnected_node_id = 234 + """network has an unconnected node with ID""" no_such_source_node = 240 + """nonexistent water quality source""" no_such_control = 241 + """nonexistent control""" invalid_name_format = 250 + """invalid format (e.g. too long an ID name)""" invalid_parameter_code = 251 + """invalid parameter code""" invalid_id_name = 252 + """invalid ID name""" no_such_demand_category = 253 + """nonexistent demand category""" missing_coords = 254 + """node with no coordinates""" invalid_vertex = 255 + """invalid link vertex""" no_such_rule = 257 + """nonexistent rule""" no_such_rule_clause = 258 + """nonexistent rule clause""" delete_node_still_linked = 259 + """attempt to delete a node that still has links connected to it""" delete_node_is_trace = 260 + """attempt to delete node assigned as a Trace Node""" delete_node_in_control = 261 + """attempt to delete a node or link contained in a control""" modify_network_during_solve = 262 + """attempt to modify network structure while a solver is open""" node_not_a_tank = 263 + """node is not a tank""" same_file_names = 301 + """identical file names used for different types of files""" open_inp_fail = 302 + """cannot open input file""" open_rpt_fail = 303 + """cannot open report file""" open_bin_fail = 304 + """cannot open binary output file""" open_hyd_fail = 305 + """cannot open hydraulics file""" hyd_file_different_network = 306 + """hydraulics file does not match network data""" read_hyd_fail = 307 + """cannot read hydraulics file""" save_bin_fail = 308 + """cannot save results to binary file""" save_rpt_fail = 309 + """cannot save results to report file""" class EpanetException(Exception): def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> None: - if isinstance(code, EpanetErrors): + """An Exception class for EPANET Toolkit and IO exceptions. + + Parameters + ---------- + code : int or str or EpanetErrors + The EPANET error code (int) or a string mapping to the EpanetErrors enum members + args : additional non-keyword arguments, optional + If there is a string-format within the error code's text, these will be used to + replace the format, otherwise they will be output at the end of the Exception message. + line_num : int, optional + The line number, if reading an INP file, by default None + line : str, optional + The contents of the line, by default None + """ + if isinstance(code, EpanetErrorEnum): code = int(code) elif isinstance(code, str): try: code = code.strip().replace('-','_').replace(' ','_') - code = int(EpanetErrors[code]) + code = int(EpanetErrorEnum[code]) except KeyError: return super().__init__('unknown error code: {}'.format(repr(code)), *args) elif not isinstance(code, int): @@ -177,12 +277,59 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> class ENSyntaxError(EpanetException, SyntaxError): def __init__(self, code, *args, line_num=None, line=None) -> None: + """An EPANET exception class that also subclasses SyntaxError + + Parameters + ---------- + code : int or str or EpanetErrors + The EPANET error code (int) or a string mapping to the EpanetErrors enum members + args : additional non-keyword arguments, optional + If there is a string-format within the error code's text, these will be used to + replace the format, otherwise they will be output at the end of the Exception message. + line_num : int, optional + The line number, if reading an INP file, by default None + line : str, optional + The contents of the line, by default None + """ super().__init__(code, *args, line_num=line_num, line=line) class ENKeyError(EpanetException, KeyError): def __init__(self, code, name, *args, line_num=None, line=None) -> None: + """An EPANET exception class that also subclasses KeyError. + + Parameters + ---------- + code : int or str or EpanetErrors + The EPANET error code (int) or a string mapping to the EpanetErrors enum members + name : str + The key/name/id that is missing + args : additional non-keyword arguments, optional + If there is a string-format within the error code's text, these will be used to + replace the format, otherwise they will be output at the end of the Exception message. + line_num : int, optional + The line number, if reading an INP file, by default None + line : str, optional + The contents of the line, by default None + """ + super().__init__(code, name, *args, line_num=line_num, line=line) class ENValueError(EpanetException, ValueError): def __init__(self, code, value, *args, line_num=None, line=None) -> None: + """An EPANET exception class that also subclasses ValueError + + Parameters + ---------- + code : int or str or EpanetErrors + The EPANET error code (int) or a string mapping to the EpanetErrors enum members + value : Any + The value that is invalid + args : additional non-keyword arguments, optional + If there is a string-format within the error code's text, these will be used to + replace the format, otherwise they will be output at the end of the Exception message. + line_num : int, optional + The line number, if reading an INP file, by default None + line : str, optional + The contents of the line, by default None + """ super().__init__(code, value, *args, line_num=line_num, line=line) From 5e976856adc8e70b76692828f658b195aa8bea9c Mon Sep 17 00:00:00 2001 From: David Hart Date: Sat, 16 Sep 2023 13:28:16 -0600 Subject: [PATCH 021/118] Update to sphinx config (#134) From 74b1a0506a132329a0b2c4073200f616e48b8105 Mon Sep 17 00:00:00 2001 From: dbhart Date: Sat, 16 Sep 2023 13:28:33 -0600 Subject: [PATCH 022/118] Updates to toolkit --- wntr/reaction/exceptions.py | 189 +++++++++++++++++++++++++ wntr/reaction/io.py | 190 ++++++++++++++----------- wntr/reaction/library.py | 274 ++++++++++++++++++------------------ wntr/reaction/toolkitmsx.py | 154 ++++---------------- 4 files changed, 468 insertions(+), 339 deletions(-) create mode 100644 wntr/reaction/exceptions.py diff --git a/wntr/reaction/exceptions.py b/wntr/reaction/exceptions.py new file mode 100644 index 000000000..bffb41070 --- /dev/null +++ b/wntr/reaction/exceptions.py @@ -0,0 +1,189 @@ +# coding: utf-8 +"""EPANET-MSX error and exception classes.""" + +from enum import IntEnum +from typing import List +from ..epanet.exceptions import EpanetException, EN_ERROR_CODES, EpanetErrorEnum + + +MSX_ERROR_CODES = EN_ERROR_CODES.copy() +MSX_ERROR_CODES.update({ + # MSX syntax errors + 401: "too many characters", + 402: "too few input items", + 403: "invalid keyword: '%s'", + 404: "invalid numeric value: '%s'", + 405: "reference to undefined object: '%s'", + 406: "illegal use of reserved name: '%s'", + 407: "name already used by another object: '%s'", + 408: "species already assigned an expression: '%s'", + 409: "illegal math expression", + 410: "option no longer supported", + 411: "term '%s' contains a cyclic reference", + # MSX runtime errors + 501: "insufficient memory available", + 502: "no EPANET data file supplied", + 503: "could not open MSX input file", + 504: "could not open hydraulic results file", + 505: "could not read hydraulic results file", + 506: "could not read MSX input file", + 507: "too few pipe reaction expressions", + 508: "too few tank reaction expressions", + 509: "could not open differential equation solver", + 510: "could not open algebraic equation solver", + 511: "could not open binary results file", + 512: "read/write error on binary results file", + 513: "could not integrate reaction rate expressions", + 514: "could not solve reaction equilibrium expressions", + 515: "reference made to an unknown type of object", + 516: "reference made to an illegal object index", + 517: "reference made to an undefined object ID", + 518: "invalid property values were specified", + 519: "an MSX project was not opened", + 520: "an MSX project is already opened", + 522: "could not compile chemistry functions", + 523: "could not load functions from compiled chemistry file", + 524: "illegal math operation", +}) + +class MSXErrors(IntEnum): + too_many_chars_msx = 401 + too_few_items = 402 + invalid_keyword = 403 + invalid_numeric_value_msx = 404 + undefined_msx_object = 405 + illegal_reserved_name = 406 + name_in_use = 407 + species_already_assigned = 408 + illegal_math_expression = 409 + option_deprecated = 410 + cyclic_reference = 411 + insufficient_memory_msx = 501 + no_epanet_datafile = 502 + open_msx_fail = 503 + open_hyd_fail_msx = 504 + read_hyd_fail_msx = 505 + read_msx_fail = 506 + not_enough_pipe_reactions = 507 + not_enough_tank_reactions = 508 + open_de_solver_fail = 509 + open_ae_solver_fail = 510 + open_bin_fail_msx = 511 + io_error_msx_bin = 512 + solve_rate_failed = 513 + solve_equil_failed = 514 + unknown_object_type = 515 + illegal_object_index = 516 + undefined_object_id = 517 + invalid_property_value = 518 + msx_project_not_open = 519 + msx_project_open = 520 + compile_chem_failed = 522 + load_compiled_chem_failed = 523 + illegal_math_operation = 524 + insufficient_memory = 101 + no_network = 102 + no_init_hyd = 103 + no_hydraulics = 104 + no_init_qual = 105 + no_results = 106 + hyd_file = 107 + hyd_init_and_hyd_file = 108 + modify_time_during_solve = 109 + solve_hyd_fail = 110 + solve_qual_fail = 120 + input_file_error = 200 + syntax_error = 201 + illegal_numeric_value = 202 + undefined_node = 203 + undefined_link = 204 + undefined_pattern = 205 + undefined_curve = 206 + control_on_cv_gpv = 207 + illegal_pda_limits = 208 + illegal_node_property = 209 + illegal_link_property = 211 + undefined_trace_node = 212 + invalid_option_value = 213 + too_many_chars_inp = 214 + duplicate_id = 215 + undefined_pump = 216 + invalid_energy_value = 217 + illegal_valve_tank = 219 + illegal_tank_valve = 219 + illegal_valve_valve = 220 + misplaced_rule = 221 + link_to_self = 222 + not_enough_nodes = 223 + no_tanks_or_res = 224 + invalid_tank_levels = 225 + missing_pump_data = 226 + invalid_head_curve = 227 + nonincreasing_x_curve = 230 + unconnected_node = 233 + unconnected_node_id = 234 + no_such_source_node = 240 + no_such_control = 241 + invalid_name_format = 250 + invalid_parameter_code = 251 + invalid_id_name = 252 + no_such_demand_category = 253 + missing_coords = 254 + invalid_vertex = 255 + no_such_rule = 257 + no_such_rule_clause = 258 + delete_node_still_linked = 259 + delete_node_is_trace = 260 + delete_node_in_control = 261 + modify_network_during_solve = 262 + node_not_a_tank = 263 + same_file_names = 301 + open_inp_fail = 302 + open_rpt_fail = 303 + open_bin_fail = 304 + open_hyd_fail = 305 + hyd_file_different_network = 306 + read_hyd_fail = 307 + save_bin_fail = 308 + save_rpt_fail = 309 + +class EpanetMsxException(EpanetException): + def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> None: + if isinstance(code, (EpanetErrorEnum, MSXErrors)): + code = int(code) + elif isinstance(code, str): + try: + code = code.strip().replace('-','_').replace(' ','_') + code = int(MSXErrors[code]) + except KeyError: + return super(Exception, self).__init__('unknown error code: {}'.format(repr(code)), *args) + elif not isinstance(code, int): + return super(Exception, self).__init__('unknown error code: {}'.format(repr(code)), *args) + msg = MSX_ERROR_CODES.get(code, 'unknown error') + if args is not None: + args = [*args] + if r'%' in msg and len(args) > 0: + msg = msg % args.pop(0) + if len(args) > 0: + msg = msg + ' ' + str(args) + if line_num: + msg = msg + ", at line {}".format(line_num) + if line: + msg = msg + ':\n ' + str(line) + msg = '(Error {}) '.format(code) + msg + super(Exception, self).__init__(msg) + +class MSXSyntaxError(EpanetMsxException, SyntaxError): + def __init__(self, code, *args) -> None: + + super().__init__(code, *args) + +class MSXNameError(EpanetMsxException, NameError): + def __init__(self, code, name, *args) -> None: + + super().__init__(code, name, *args) + +class MSXValueError(EpanetMsxException, ValueError): + def __init__(self, code, name, *args) -> None: + + super().__init__(code, name, *args) diff --git a/wntr/reaction/io.py b/wntr/reaction/io.py index 8844321aa..64ad7b217 100644 --- a/wntr/reaction/io.py +++ b/wntr/reaction/io.py @@ -8,12 +8,12 @@ from wntr.network.elements import Source from wntr.reaction.base import MSXComment, RxnLocationType, RxnVariableType from wntr.reaction.model import WaterQualityReactionsModel +from .exceptions import EpanetMsxException from wntr.reaction.variables import Parameter, Species from wntr.utils.citations import Citation sys_default_enc = sys.getdefaultencoding() - logger = logging.getLogger(__name__) _INP_SECTIONS = [ @@ -87,64 +87,69 @@ def read(self, msx_file, rxn_model=None): for sec in _INP_SECTIONS: self.sections[sec] = [] - section = None - lnum = 0 - edata = {"fname": msx_file} - with open(msx_file, "r", encoding=sys_default_enc) as f: - for line in f: - lnum += 1 - edata["lnum"] = lnum - line = line.strip() - nwords = len(line.split()) - if len(line) == 0 or nwords == 0: - # Blank line - continue - elif line.startswith("["): - vals = line.split(None, 1) - sec = vals[0].upper() - # Add handlers to deal with extra 'S'es (or missing 'S'es) in INP file - if sec not in _INP_SECTIONS: - trsec = sec.replace("]", "S]") - if trsec in _INP_SECTIONS: - sec = trsec - if sec not in _INP_SECTIONS: - trsec = sec.replace("S]", "]") - if trsec in _INP_SECTIONS: - sec = trsec - edata["sec"] = sec - if sec in _INP_SECTIONS: - section = sec - # logger.info('%(fname)s:%(lnum)-6d %(sec)13s section found' % edata) + def _read(): + section = None + lnum = 0 + edata = {"fname": msx_file} + with open(msx_file, "r", encoding=sys_default_enc) as f: + for line in f: + lnum += 1 + edata["lnum"] = lnum + line = line.strip() + nwords = len(line.split()) + if len(line) == 0 or nwords == 0: + # Blank line continue - elif sec == "[END]": - # logger.info('%(fname)s:%(lnum)-6d %(sec)13s end of file found' % edata) - section = None - break - else: - raise RuntimeError('%(fname)s:%(lnum)d: Invalid section "%(sec)s"' % edata) - elif section is None and line.startswith(";"): - self.top_comments.append(line[1:]) - continue - elif section is None: - logger.debug("Found confusing line: %s", repr(line)) - raise RuntimeError("%(fname)s:%(lnum)d: Non-comment outside of valid section!" % edata) - # We have text, and we are in a section - self.sections[section].append((lnum, line)) - - self._read_title() - self._read_options() - self._read_species() - self._read_coefficients() - self._read_terms() - self._read_pipes() - self._read_tanks() - self._read_sources() - self._read_quality() - self._read_parameters() - self._read_diffusivity() - self._read_patterns() - self._read_report() - return self.rxn + elif line.startswith("["): + vals = line.split(None, 1) + sec = vals[0].upper() + # Add handlers to deal with extra 'S'es (or missing 'S'es) in INP file + if sec not in _INP_SECTIONS: + trsec = sec.replace("]", "S]") + if trsec in _INP_SECTIONS: + sec = trsec + if sec not in _INP_SECTIONS: + trsec = sec.replace("S]", "]") + if trsec in _INP_SECTIONS: + sec = trsec + edata["sec"] = sec + if sec in _INP_SECTIONS: + section = sec + # logger.info('%(fname)s:%(lnum)-6d %(sec)13s section found' % edata) + continue + elif sec == "[END]": + # logger.info('%(fname)s:%(lnum)-6d %(sec)13s end of file found' % edata) + section = None + break + else: + logger.warning('%(fname)s:%(lnum)d: Invalid section "%(sec)s"' % edata) + raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) + elif section is None and line.startswith(";"): + self.top_comments.append(line[1:]) + continue + elif section is None: + logger.debug("Found confusing line: %s", repr(line)) + raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) + # We have text, and we are in a section + self.sections[section].append((lnum, line)) + try: + _read() + self._read_title() + self._read_options() + self._read_species() + self._read_coefficients() + self._read_terms() + self._read_pipes() + self._read_tanks() + self._read_sources() + self._read_quality() + self._read_parameters() + self._read_diffusivity() + self._read_patterns() + self._read_report() + return self.rxn + except Exception as e: + raise EpanetMsxException(200) from e def _read_title(self): lines = [] @@ -169,8 +174,8 @@ def _read_options(self): for lnum, line in self.sections["[OPTIONS]"]: vals, comment = _split_line(line) try: - if len(vals) != 2: - raise SyntaxError("Invalid [OPTIONS] entry") + if len(vals) < 2: + raise EpanetMsxException(402, note="at line {} of [OPTIONS] section:\n{}".format(lnum, line)) name, val = vals[0].upper(), vals[1].upper() if name == "AREA_UNITS": self.rxn._options.quality.area_units = val @@ -192,8 +197,14 @@ def _read_options(self): self.rxn._options.quality.segments = int(val) elif name == "PECLET": self.rxn._options.quality.peclet = int(val) + else: + raise EpanetMsxException(403, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) + except ValueError: + raise EpanetMsxException(404, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) from e def _read_species(self): lines = [] @@ -207,15 +218,18 @@ def _read_species(self): try: if comment is not None: note.post = comment - if len(vals) not in [3, 5]: - raise SyntaxError("Invalid [SPECIES] entry") - + if len(vals) < 3: + raise EpanetMsxException(402, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) if len(vals) == 3: species = self.rxn.add_species(vals[0], vals[1], vals[2], note=note) elif len(vals) == 5: species = self.rxn.add_species(vals[0], vals[1], vals[2], float(vals[3]), float(vals[4]), note=note) + else: + raise EpanetMsxException(201, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() @@ -231,11 +245,13 @@ def _read_coefficients(self): try: if comment is not None: note.post = comment - if len(vals) != 3: - raise SyntaxError("Invalid [COEFFICIENTS] entry") + if len(vals) < 3: + raise EpanetMsxException(402, note='at line {} of [COEFFICIENTS] section:\n{}'.format(lnum, line)) coeff = self.rxn.add_coefficient(vals[0], vals[1], float(vals[2]), note=note) + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [COEFFICIENTS] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() @@ -254,8 +270,10 @@ def _read_terms(self): if len(vals) < 2: raise SyntaxError("Invalid [TERMS] entry") term = self.rxn.add_other_term(vals[0], " ".join(vals[1:]), note=note) + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [TERMS] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() @@ -274,8 +292,10 @@ def _read_pipes(self): if len(vals) < 3: raise SyntaxError("Invalid [PIPES] entry") reaction = self.rxn.add_pipe_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [PIPES] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() @@ -294,8 +314,10 @@ def _read_tanks(self): if len(vals) < 3: raise SyntaxError("Invalid [TANKS] entry") reaction = self.rxn.add_tank_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [TANKS] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() @@ -317,13 +339,15 @@ def _read_sources(self): else: typ, node, spec, strength, pat = vals if not self.rxn.has_variable(spec): - raise ValueError("Undefined species in [QUALITY] section: {}".format(spec)) + raise ValueError("Undefined species in [SOURCES] section: {}".format(spec)) if spec not in self.rxn._sources.keys(): self.rxn._sources[spec] = dict() source = dict(source_type=typ, strength=strength, pattern=pat, note=note) self.rxn._sources[spec][node] = source + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [SOURCES] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() @@ -355,8 +379,10 @@ def _read_quality(self): self.rxn._inital_quality[spec]["nodes"][netid] = float(concen) elif cmd[1].lower() == "l": self.rxn._inital_quality[spec]["links"][netid] = float(concen) + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [QUALITY] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() @@ -375,16 +401,18 @@ def _read_parameters(self): typ, netid, paramid, value = vals coeff = self.rxn.get_variable(paramid) if not isinstance(coeff, Parameter): - raise RuntimeError("Invalid parameter {}".format(paramid)) + raise ValueError("Invalid parameter {}".format(paramid)) value = float(value) if typ.lower()[0] == "p": coeff.pipe_values[netid] = value elif typ.lower()[0] == "t": coeff.tank_values[netid] = value else: - raise RuntimeError("Invalid parameter type {}".format(typ)) + raise ValueError("Invalid parameter type {}".format(typ)) + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [PARAMETERS] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() @@ -406,8 +434,10 @@ def _read_diffusivity(self): if not isinstance(species, Species): raise RuntimeError("Invalid species {} in diffusivity".format(vals[0])) species.diffusivity = float(vals[1]) + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [DIFFUSIVITIES] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() @@ -484,8 +514,10 @@ def _read_report(self): self.rxn._options.report.species_precision[vals[1]] = int(vals[3]) else: raise SyntaxError("Invalid syntax in [REPORT] section: unknown first word") + except EpanetMsxException: + raise except Exception as e: - raise RuntimeError('Error on line {} of file "{}": {}'.format(lnum, self.rxn.filename, line)) from e + raise EpanetMsxException(201, note='at line {} of [REPORT] section:\n{}'.format(lnum, line)) from e else: note = MSXComment() diff --git a/wntr/reaction/library.py b/wntr/reaction/library.py index 6409cc017..dcf95b142 100644 --- a/wntr/reaction/library.py +++ b/wntr/reaction/library.py @@ -1,149 +1,149 @@ -# -*- coding: utf-8 -*- -# @Contributors: -# Jonathan Burkhardt, U.S. Environmental Protection Agency, Office of Research and Development +# # -*- coding: utf-8 -*- +# # @Contributors: +# # Jonathan Burkhardt, U.S. Environmental Protection Agency, Office of Research and Development -""" -A library of common reactions. -Values in libarary are for test purposes ONLY. These highlight the reaction form/relationship -but not necessarily the specific system kinetics. Citations are provided where appropriate for -sources of values or models. In most cases updates will be necessary to use for different -models - that is, sources, pipes, nodes are for a given network, and must be updated for different -models. +# """ +# A library of common reactions. +# Values in libarary are for test purposes ONLY. These highlight the reaction form/relationship +# but not necessarily the specific system kinetics. Citations are provided where appropriate for +# sources of values or models. In most cases updates will be necessary to use for different +# models - that is, sources, pipes, nodes are for a given network, and must be updated for different +# models. -.. autosummary:: +# .. autosummary:: - nicotine - nicotine_ri - lead_ppm +# nicotine +# nicotine_ri +# lead_ppm -""" -import logging +# """ +# import logging -from ..utils.citations import Citation -from .model import WaterQualityReactionsModel +# from ..utils.citations import Citation +# from .model import WaterQualityReactionsModel -logger = logging.getLogger(__name__) +# logger = logging.getLogger(__name__) -# ===================== Nicotine-chlorine model -# -nicotine = WaterQualityReactionsModel( - title="Nicotine - Chlorine reaction", - desc="Values in libarary are for test purposes ONLY.", -) -"""A nicotine-chlorine reaction model""" +# # ===================== Nicotine-chlorine model +# # +# nicotine = WaterQualityReactionsModel( +# title="Nicotine - Chlorine reaction", +# desc="Values in libarary are for test purposes ONLY.", +# ) +# """A nicotine-chlorine reaction model""" -nicotine.options.quality.area_units = "M2" -nicotine.options.quality.rate_units = "MIN" -nicotine.options.quality.timestep = 1 -nicotine.add_bulk_species("Nx", units="MG", note="Nicotine") -nicotine.add_bulk_species("HOCL", units="MG", note="Free chlorine") -nicotine.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") -nicotine.add_constant_coeff("K1", global_value=5.92e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") -nicotine.add_constant_coeff("K2", global_value=1.84e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -nicotine.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL") -nicotine.add_other_term("RXN", expression="K2 * Nx * HOCL") -nicotine.add_pipe_reaction("Nx", "rate", expression="-RXN") -nicotine.add_pipe_reaction("HOCL", "rate", expression="-RXCL") -nicotine.add_tank_reaction("Nx", "rate", "0") -nicotine.add_tank_reaction("HOCL", "rate", "0") +# nicotine.options.quality.area_units = "M2" +# nicotine.options.quality.rate_units = "MIN" +# nicotine.options.quality.timestep = 1 +# nicotine.add_bulk_species("Nx", units="MG", note="Nicotine") +# nicotine.add_bulk_species("HOCL", units="MG", note="Free chlorine") +# nicotine.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") +# nicotine.add_constant_coeff("K1", global_value=5.92e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") +# nicotine.add_constant_coeff("K2", global_value=1.84e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +# nicotine.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL") +# nicotine.add_other_term("RXN", expression="K2 * Nx * HOCL") +# nicotine.add_pipe_reaction("Nx", "rate", expression="-RXN") +# nicotine.add_pipe_reaction("HOCL", "rate", expression="-RXCL") +# nicotine.add_tank_reaction("Nx", "rate", "0") +# nicotine.add_tank_reaction("HOCL", "rate", "0") -# ===================== Nicotine-chlorine reactive intermediate species -# -nicotine_ri = WaterQualityReactionsModel( - title="Nicotine - Chlorine reaction with reactive intermediate", - desc="Values in libarary are for test purposes ONLY.", -) -"""A nicotine-chlorine reaction with a reactive intermediate""" -# Set the options -nicotine_ri.options.quality.area_units = "M2" -nicotine_ri.options.quality.rate_units = "MIN" -nicotine_ri.options.quality.timestep = 1 -nicotine_ri.options.quality.atol = 1.0e-10 -nicotine_ri.options.quality.rtol = 1.0e-10 -# Add species -nicotine_ri.add_bulk_species("Nx", units="MG", note="Nicotine") -nicotine_ri.add_bulk_species("HOCL", units="MG", note="Free Chlorine") -nicotine_ri.add_bulk_species("NX2", units="MG", note="Intermediate Nicotine Reactive") -# Add coefficients -nicotine_ri.add_constant_coeff("kd", 3.0e-5, note="decay rate", units="1/min") -nicotine_ri.add_constant_coeff("K1", global_value=9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") -nicotine_ri.add_constant_coeff("K2", global_value=5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -nicotine_ri.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") -nicotine_ri.add_constant_coeff("K4", global_value=2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -# Add terms (named subexpressions) -nicotine_ri.add_other_term("RXCL", expression="kd*HOCL + K1*Nx*HOCL + K3*NX2*HOCL") -nicotine_ri.add_other_term("RXN", expression="K2*Nx*HOCL") -nicotine_ri.add_other_term("RXNX2", expression="K2*Nx*HOCL - K4*NX2*HOCL") -# Add pipe reactions, one per species -nicotine_ri.add_pipe_reaction("Nx", "RATE", expression="-RXN") -nicotine_ri.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") -nicotine_ri.add_pipe_reaction("NX2", "RATE", expression="RXNX2") -# Tank reactions actually aren't necessary since there aren't any wall species -nicotine_ri.add_tank_reaction("Nx", "RATE", expression="-RXN") -nicotine_ri.add_tank_reaction("HOCL", "RATE", expression="-RXCL") -nicotine_ri.add_tank_reaction("NX2", "RATE", expression="RXNX2") +# # ===================== Nicotine-chlorine reactive intermediate species +# # +# nicotine_ri = WaterQualityReactionsModel( +# title="Nicotine - Chlorine reaction with reactive intermediate", +# desc="Values in libarary are for test purposes ONLY.", +# ) +# """A nicotine-chlorine reaction with a reactive intermediate""" +# # Set the options +# nicotine_ri.options.quality.area_units = "M2" +# nicotine_ri.options.quality.rate_units = "MIN" +# nicotine_ri.options.quality.timestep = 1 +# nicotine_ri.options.quality.atol = 1.0e-10 +# nicotine_ri.options.quality.rtol = 1.0e-10 +# # Add species +# nicotine_ri.add_bulk_species("Nx", units="MG", note="Nicotine") +# nicotine_ri.add_bulk_species("HOCL", units="MG", note="Free Chlorine") +# nicotine_ri.add_bulk_species("NX2", units="MG", note="Intermediate Nicotine Reactive") +# # Add coefficients +# nicotine_ri.add_constant_coeff("kd", 3.0e-5, note="decay rate", units="1/min") +# nicotine_ri.add_constant_coeff("K1", global_value=9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") +# nicotine_ri.add_constant_coeff("K2", global_value=5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +# nicotine_ri.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") +# nicotine_ri.add_constant_coeff("K4", global_value=2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +# # Add terms (named subexpressions) +# nicotine_ri.add_other_term("RXCL", expression="kd*HOCL + K1*Nx*HOCL + K3*NX2*HOCL") +# nicotine_ri.add_other_term("RXN", expression="K2*Nx*HOCL") +# nicotine_ri.add_other_term("RXNX2", expression="K2*Nx*HOCL - K4*NX2*HOCL") +# # Add pipe reactions, one per species +# nicotine_ri.add_pipe_reaction("Nx", "RATE", expression="-RXN") +# nicotine_ri.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") +# nicotine_ri.add_pipe_reaction("NX2", "RATE", expression="RXNX2") +# # Tank reactions actually aren't necessary since there aren't any wall species +# nicotine_ri.add_tank_reaction("Nx", "RATE", expression="-RXN") +# nicotine_ri.add_tank_reaction("HOCL", "RATE", expression="-RXCL") +# nicotine_ri.add_tank_reaction("NX2", "RATE", expression="RXNX2") -# ===================== Lead plumbosolvency model -# -lead_ppm = WaterQualityReactionsModel( - title="Lead Plumbosolvency Model (from Burkhardt et al 2020)", - desc="Parameters for EPA HPS Simulator Model", - citations=[Citation( - title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", - year=2020, - author=[ - "Jonathan B. Burkhardt", - "Hyoungmin Woo", - "James Mason", - "Feng Shang", - "Simoni Triantafyllidou", - "Michael R. Schock", - "Darren Lytle", - "Regan Murray", - ], - citation_class="article", - journaltitle="J Water Resour Plan Manag", - volume=146, - number=12, - fulldate="2020-12-01", - doi="10.1061/(asce)wr.1943-5452.0001304", - eprint=[ - "PMID:33627937", - "PMCID:PMC7898126", - "NIHMSID:NIHMS1664627", - ], - )], - allow_sympy_reserved_names=True, - options={ - "report": { - "species": {"PB2": "YES"}, - "species_precision": {"PB2": 5}, - "nodes": "all", - "links": "all", - }, - "quality": { - "timestep": 1, - "area_units": "M2", - "rate_units": "SEC", - "rtol": 1e-08, - "atol": 1e-08, - }, - }, -) -"""A lead plumbosolvency model [BEMS20]_. +# # ===================== Lead plumbosolvency model +# # +# lead_ppm = WaterQualityReactionsModel( +# title="Lead Plumbosolvency Model (from Burkhardt et al 2020)", +# desc="Parameters for EPA HPS Simulator Model", +# citations=[Citation( +# title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", +# year=2020, +# author=[ +# "Jonathan B. Burkhardt", +# "Hyoungmin Woo", +# "James Mason", +# "Feng Shang", +# "Simoni Triantafyllidou", +# "Michael R. Schock", +# "Darren Lytle", +# "Regan Murray", +# ], +# citation_class="article", +# journaltitle="J Water Resour Plan Manag", +# volume=146, +# number=12, +# fulldate="2020-12-01", +# doi="10.1061/(asce)wr.1943-5452.0001304", +# eprint=[ +# "PMID:33627937", +# "PMCID:PMC7898126", +# "NIHMSID:NIHMS1664627", +# ], +# )], +# allow_sympy_reserved_names=True, +# options={ +# "report": { +# "species": {"PB2": "YES"}, +# "species_precision": {"PB2": 5}, +# "nodes": "all", +# "links": "all", +# }, +# "quality": { +# "timestep": 1, +# "area_units": "M2", +# "rate_units": "SEC", +# "rtol": 1e-08, +# "atol": 1e-08, +# }, +# }, +# ) +# """A lead plumbosolvency model [BEMS20]_. -.. [BEMS20] - J. B. Burkhardt, et al. (2020) - "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". - `Journal of water resources planning and management`. - **146** (12). - https://doi.org/10.1061/(asce)wr.1943-5452.0001304 +# .. [BEMS20] +# J. B. Burkhardt, et al. (2020) +# "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". +# `Journal of water resources planning and management`. +# **146** (12). +# https://doi.org/10.1061/(asce)wr.1943-5452.0001304 -""" -# add the species, coefficients and reactions -lead_ppm.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") -lead_ppm.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-1) * s^(-1)") -lead_ppm.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") -lead_ppm.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") -lead_ppm.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") -lead_ppm.add_tank_reaction("PB2", "RATE", expression="0") +# """ +# # add the species, coefficients and reactions +# lead_ppm.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") +# lead_ppm.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-1) * s^(-1)") +# lead_ppm.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") +# lead_ppm.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") +# lead_ppm.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") +# lead_ppm.add_tank_reaction("PB2", "RATE", expression="0") diff --git a/wntr/reaction/toolkitmsx.py b/wntr/reaction/toolkitmsx.py index 6429066ff..cca0a09c5 100644 --- a/wntr/reaction/toolkitmsx.py +++ b/wntr/reaction/toolkitmsx.py @@ -19,8 +19,9 @@ from pkg_resources import resource_filename -from ..epanet.toolkit import ENepanet, EpanetException +from ..epanet.toolkit import ENepanet from ..epanet.util import SizeLimits +from .exceptions import EpanetMsxException epanet_toolkit = "wntr.epanet.toolkit" @@ -39,99 +40,6 @@ logger = logging.getLogger(__name__) -class EpanetMsxToolkitError(Exception): - ERROR_CODES = { - 101: "insufficient memory available.", - 102: "no network data available.", - 103: "hydraulics not initialized.", - 104: "no hydraulics for water quality analysis.", - 105: "water quality not initialized.", - 106: "no results saved to report on.", - 107: "hydraulics supplied from external file.", - 108: "cannot use external file while hydraulics solver is active.", - 109: "cannot change time parameter when solver is active.", - 110: "cannot solve network hydraulic equations.", - 120: "cannot solve water quality transport equations.", - 200: "Cannot read EPANET-MSX file.", - 201: "Syntax error", - 202: "Function call contains an illegal numeric value", - 203: "Function call refers to an undefined node", - 204: "Function call refers to an undefined link", - 205: "Function call refers to an undefined time pattern", - 206: "Function call refers to an undefined curve", - 207: "Function call attempts to control a check valve pipe or a GPV valve", - 208: "Function call contains illegal PDA pressure limits", - 209: "Function call contains an illegal node property value", - 211: "Function call contains an illegal link property value", - 212: "Function call refers to an undefined Trace Node", - 213: "Function call contains an invalid option value", - 214: "Too many characters in a line of an input file", - 215: "Function call contains a duplicate ID label", - 216: "Function call refers to an undefined pump", - 217: "Invalid pump energy data", - 219: "Illegal valve connection to tank node", - 220: "Illegal valve connection to another valve", - 221: "Mis-placed clause in rule-based control", - 222: "Link assigned same start and end nodes", - 223: "Not enough nodes in network", - 224: "No tanks or reservoirs in network", - 225: "Invalid lower/upper levels for tank", - 226: "No head curve or power rating for pump", - 227: "Invalid head curve for pump", - 230: "Nonincreasing x-values for curve", - 233: "Network has unconnected node", - 240: "Function call refers to nonexistent water quality source", - 241: "Function call refers to nonexistent control", - 250: "Function call contains invalid format (e.g. too long an ID name)", - 251: "Function call contains invalid parameter code", - 253: "Function call refers to nonexistent demand category", - 254: "Function call refers to node with no coordinates", - 257: "Function call refers to nonexistent rule", - 258: "Function call refers to nonexistent rule clause", - 259: "Function call attempts to delete a node that still has links connected to it", - 260: "Function call attempts to delete node assigned as a Trace Node", - 261: "Function call attempts to delete a node or link contained in a control", - 262: "Function call attempts to modify network structure while a solver is open", - 301: "Identical file names used for different types of files", - 302: "Cannot open input file", - 303: "Cannot open report file", - 304: "Cannot open output file", - 305: "Cannot open hydraulics file", - 306: "Hydraulics file does not match network data", - 307: "Cannot read hydraulics file", - 308: "Cannot save results to binary file", - 309: "Cannot save results to report file", - 501: "insufficient memory available.", - 502: "no EPANET data file supplied.", - 503: "could not open MSX input file.", - 504: "could not open hydraulic results file.", - 505: "could not read hydraulic results file.", - 506: "could not read MSX input file.", - 507: "too few pipe reaction expressions.", - 508: "too few tank reaction expressions.", - 509: "could not open differential equation solver.", - 510: "could not open algebraic equation solver.", - 511: "could not open binary results file.", - 512: "read/write on binary results file.", - 513: "could not integrate reaction rate expressions.", - 514: "could not solve reaction equilibrium expressions.", - 515: "reference made to an unknown type of object.", - 516: "reference made to an illegal object index.", - 517: "reference made to an undefined object ID.", - 518: "invalid property values were specified.", - 519: "an MSX project was not opened.", - 520: "an MSX project is already opened.", - 521: "could not open MSX report file.", - 522: "could not compile chemistry functions.", - 523: "could not load functions from compiled chemistry file.", - 524: "illegal math operation.", - } - - def __init__(self, code, *args: object) -> None: - msg = self.ERROR_CODES.get(code, "EPANET MSX error: {}".format(code)) - super().__init__(msg, *args) - - class MSXepanet(ENepanet): def __init__(self, inpfile="", rptfile="", binfile="", version=2.2): @@ -185,7 +93,7 @@ def MSXopen(self, nomeinp): """ ierr = self.ENlib.MSXopen(ctypes.c_char_p(nomeinp.encode())) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXclose( self, @@ -193,13 +101,13 @@ def MSXclose( """Closes down the Toolkit system (including all files being processed)""" ierr = self.ENlib.MSXclose() if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXusehydfile(self, fname): """Uses the contents of the specified file as the current binary hydraulics file""" ierr = self.ENlib.MSXusehydfile(ctypes.c_char_p(fname.encode())) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXsolveH( self, @@ -208,14 +116,14 @@ def MSXsolveH( for all time periods written to the binary Hydraulics file.""" ierr = self.ENlib.MSXsolveH() if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXinit(self, saveFlag=0): """Initializes the MSX system before solving for water quality results in step-wise fashion set saveFlag to 1 if water quality results should be saved to a scratch binary file, or to 0 is not saved to file""" ierr = self.ENlib.MSXinit(saveFlag) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXsolveQ( self, @@ -223,7 +131,7 @@ def MSXsolveQ( """solves for water quality over the entire simulation period and saves the results to an internal scratch file""" ierr = self.ENlib.MSXsolveQ() if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXstep( self, @@ -234,7 +142,7 @@ def MSXstep( tleft = ctypes.c_long() ierr = self.ENlib.MSXstep(ctypes.byref(t), ctypes.byref(tleft)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) out = [t.value, tleft.value] return out @@ -242,13 +150,13 @@ def MSXsaveoutfile(self, fname): """saves water quality results computed for each node, link and reporting time period to a named binary file""" ierr = self.ENlib.MSXsaveoutfile(ctypes.c_char_p(fname.encode())) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXsavemsxfile(self, fname): """saves the data associated with the current MSX project into a new MSX input file""" ierr = self.ENlib.MSXsavemsxfile(ctypes.c_char_p(fname.encode())) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXreport( self, @@ -256,7 +164,7 @@ def MSXreport( """Writes water quality simulations results as instructed by the MSX input file to a text file""" ierr = self.ENlib.MSXreport() if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) # ---------get parameters--------------------------------------------------------------- def MSXgetindex(self, type, name): @@ -281,7 +189,7 @@ def MSXgetindex(self, type, name): ind = ctypes.c_int() ierr = self.ENlib.MSXgetindex(type_ind, ctypes.c_char_p(name.encode()), ctypes.byref(ind)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) return ind.value def MSXgetIDlen(self, type, index): @@ -306,7 +214,7 @@ def MSXgetIDlen(self, type, index): len = ctypes.c_int() ierr = self.ENlib.MSXgetIDlen(type_ind, ctypes.c_int(index), ctypes.byref(len)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) return len.value def MSXgetID(self, type, index): @@ -333,7 +241,7 @@ def MSXgetID(self, type, index): id = ctypes.create_string_buffer(maxlen) ierr = self.ENlib.MSXgetID(type_ind, ctypes.c_int(index), ctypes.byref(id), ctypes.c_int(maxlen - 1)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) # the .decode() added my MF 6/3/21 return id.value.decode() @@ -354,7 +262,7 @@ def MSXgetinitqual(self, type, ind, spe): iniqual = ctypes.c_double() ierr = self.ENlib.MSXgetinitqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.byref(iniqual)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) return iniqual.value def MSXgetqual(self, type, ind, spe): @@ -374,7 +282,7 @@ def MSXgetqual(self, type, ind, spe): qual = ctypes.c_double() ierr = self.ENlib.MSXgetqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.byref(qual)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) return qual.value def MSXgetconstant(self, ind): @@ -384,7 +292,7 @@ def MSXgetconstant(self, ind): const = ctypes.c_double() ierr = self.ENlib.MSXgetconstant(ind, ctypes.byref(const)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) return const.value def MSXgetparameter(self, type, ind, param_ind): @@ -403,7 +311,7 @@ def MSXgetparameter(self, type, ind, param_ind): param = ctypes.c_double() ierr = self.ENlib.MSXgetparameter(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(param_ind), ctypes.byref(param)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) return param.value def MSXgetsource(self, node, spe): @@ -421,7 +329,7 @@ def MSXgetsource(self, node, spe): pat = ctypes.c_int() ierr = self.ENlib.MSXgetsource(ctypes.c_int(node), ctypes.c_int(spe), ctypes.byref(type), ctypes.byref(level), ctypes.byref(pat)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) src_out = [type.value, level.value, pat.value] return src_out @@ -432,7 +340,7 @@ def MSXgetpatternlen(self, pat): len = ctypes.c_int() ierr = self.ENlib.MSXgetpatternlen(pat, ctypes.byref(len)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) return len.value def MSXgetpatternvalue(self, pat, period): @@ -444,7 +352,7 @@ def MSXgetpatternvalue(self, pat, period): val = ctypes.c_double() ierr = self.ENlib.MSXgetpatternvalue(pat, period, ctypes.byref(val)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) return val.value def MSXgetcount(self, type): @@ -469,7 +377,7 @@ def MSXgetcount(self, type): count = ctypes.c_int() ierr = self.ENlib.MSXgetcount(type_ind, ctypes.byref(count)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) return count.value def MSXgetspecies(self, spe): @@ -485,7 +393,7 @@ def MSXgetspecies(self, spe): rTol = ctypes.c_double() ierr = self.ENlib.MSXgetspecies(spe, ctypes.byref(type_ind), ctypes.byref(units), ctypes.byref(aTol), ctypes.byref(rTol)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) spe_out = [type_ind.value, units.value, aTol.value, rTol.value] return spe_out @@ -508,7 +416,7 @@ def MSXsetconstant(self, ind, value): value is the new value to be assigned to the constant""" ierr = self.ENlib.MSXsetconstant(ctypes.c_int(ind), ctypes.c_double(value)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXsetparameter(self, type, ind, param, value): """assigns a value to a particular reaction parameter for a given TANK or PIPE @@ -525,7 +433,7 @@ def MSXsetparameter(self, type, ind, param, value): raise Exception("unrecognized type") ierr = self.ENlib.MSXsetparameter(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(param), ctypes.c_double(value)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXsetinitqual(self, type, ind, spe, value): """Retrieves the initial concentration of a particular chemical species assigned to a specific node @@ -543,7 +451,7 @@ def MSXsetinitqual(self, type, ind, spe, value): raise Exception("unrecognized type") ierr = self.ENlib.MSXsetinitqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.c_double(value)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXsetsource(self, node, spe, type_n, level, pat): """sets the attributes of an external source of a particular chemical species in a specific node of the pipe network @@ -570,7 +478,7 @@ def MSXsetsource(self, node, spe, type_n, level, pat): raise Exception("unrecognized type") ierr = self.ENlib.MSXsetsource(ctypes.c_int(node), ctypes.c_int(spe), ctypes.c_int(type_ind), ctypes.c_double(level), ctypes.c_int(pat)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXsetpattern(self, pat, mult): """assigns a new set of multipliers to a given MSX SOURCE time pattern @@ -585,7 +493,7 @@ def MSXsetpattern(self, pat, mult): cfactors[i] = float(mult[i]) ierr = self.ENlib.MSXsetpattern(ctypes.c_int(pat), cfactors, ctypes.c_int(length)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXsetpatternvalue(self, pat, period, value): """Sets the multiplier factor for a specific period within a SOURCE time pattern. @@ -595,7 +503,7 @@ def MSXsetpatternvalue(self, pat, period, value): value: multiplier factor for the period""" ierr = self.ENlib.MSXsetpatternvalue(ctypes.c_int(pat), ctypes.c_int(period), ctypes.c_double(value)) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) def MSXaddpattern(self, patternid): """Adds a new, empty MSX source time pattern to an MSX project. @@ -603,4 +511,4 @@ def MSXaddpattern(self, patternid): pattern id: c-string name of pattern""" ierr = self.ENlib.MSXaddpattern(ctypes.c_char_p(patternid.encode())) if ierr != 0: - raise EpanetMsxToolkitError(ierr) + raise EpanetMsxException(ierr) From 52de3d58ee49a1322f1378ede2eb0cd28228d7fc Mon Sep 17 00:00:00 2001 From: dbhart Date: Sat, 16 Sep 2023 13:28:56 -0600 Subject: [PATCH 023/118] Rebase library --- wntr/reaction/library.py | 274 +++++++++++++++++++-------------------- 1 file changed, 137 insertions(+), 137 deletions(-) diff --git a/wntr/reaction/library.py b/wntr/reaction/library.py index dcf95b142..6409cc017 100644 --- a/wntr/reaction/library.py +++ b/wntr/reaction/library.py @@ -1,149 +1,149 @@ -# # -*- coding: utf-8 -*- -# # @Contributors: -# # Jonathan Burkhardt, U.S. Environmental Protection Agency, Office of Research and Development +# -*- coding: utf-8 -*- +# @Contributors: +# Jonathan Burkhardt, U.S. Environmental Protection Agency, Office of Research and Development -# """ -# A library of common reactions. -# Values in libarary are for test purposes ONLY. These highlight the reaction form/relationship -# but not necessarily the specific system kinetics. Citations are provided where appropriate for -# sources of values or models. In most cases updates will be necessary to use for different -# models - that is, sources, pipes, nodes are for a given network, and must be updated for different -# models. +""" +A library of common reactions. +Values in libarary are for test purposes ONLY. These highlight the reaction form/relationship +but not necessarily the specific system kinetics. Citations are provided where appropriate for +sources of values or models. In most cases updates will be necessary to use for different +models - that is, sources, pipes, nodes are for a given network, and must be updated for different +models. -# .. autosummary:: +.. autosummary:: -# nicotine -# nicotine_ri -# lead_ppm + nicotine + nicotine_ri + lead_ppm -# """ -# import logging +""" +import logging -# from ..utils.citations import Citation -# from .model import WaterQualityReactionsModel +from ..utils.citations import Citation +from .model import WaterQualityReactionsModel -# logger = logging.getLogger(__name__) +logger = logging.getLogger(__name__) -# # ===================== Nicotine-chlorine model -# # -# nicotine = WaterQualityReactionsModel( -# title="Nicotine - Chlorine reaction", -# desc="Values in libarary are for test purposes ONLY.", -# ) -# """A nicotine-chlorine reaction model""" +# ===================== Nicotine-chlorine model +# +nicotine = WaterQualityReactionsModel( + title="Nicotine - Chlorine reaction", + desc="Values in libarary are for test purposes ONLY.", +) +"""A nicotine-chlorine reaction model""" -# nicotine.options.quality.area_units = "M2" -# nicotine.options.quality.rate_units = "MIN" -# nicotine.options.quality.timestep = 1 -# nicotine.add_bulk_species("Nx", units="MG", note="Nicotine") -# nicotine.add_bulk_species("HOCL", units="MG", note="Free chlorine") -# nicotine.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") -# nicotine.add_constant_coeff("K1", global_value=5.92e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") -# nicotine.add_constant_coeff("K2", global_value=1.84e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -# nicotine.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL") -# nicotine.add_other_term("RXN", expression="K2 * Nx * HOCL") -# nicotine.add_pipe_reaction("Nx", "rate", expression="-RXN") -# nicotine.add_pipe_reaction("HOCL", "rate", expression="-RXCL") -# nicotine.add_tank_reaction("Nx", "rate", "0") -# nicotine.add_tank_reaction("HOCL", "rate", "0") +nicotine.options.quality.area_units = "M2" +nicotine.options.quality.rate_units = "MIN" +nicotine.options.quality.timestep = 1 +nicotine.add_bulk_species("Nx", units="MG", note="Nicotine") +nicotine.add_bulk_species("HOCL", units="MG", note="Free chlorine") +nicotine.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") +nicotine.add_constant_coeff("K1", global_value=5.92e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") +nicotine.add_constant_coeff("K2", global_value=1.84e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +nicotine.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL") +nicotine.add_other_term("RXN", expression="K2 * Nx * HOCL") +nicotine.add_pipe_reaction("Nx", "rate", expression="-RXN") +nicotine.add_pipe_reaction("HOCL", "rate", expression="-RXCL") +nicotine.add_tank_reaction("Nx", "rate", "0") +nicotine.add_tank_reaction("HOCL", "rate", "0") -# # ===================== Nicotine-chlorine reactive intermediate species -# # -# nicotine_ri = WaterQualityReactionsModel( -# title="Nicotine - Chlorine reaction with reactive intermediate", -# desc="Values in libarary are for test purposes ONLY.", -# ) -# """A nicotine-chlorine reaction with a reactive intermediate""" -# # Set the options -# nicotine_ri.options.quality.area_units = "M2" -# nicotine_ri.options.quality.rate_units = "MIN" -# nicotine_ri.options.quality.timestep = 1 -# nicotine_ri.options.quality.atol = 1.0e-10 -# nicotine_ri.options.quality.rtol = 1.0e-10 -# # Add species -# nicotine_ri.add_bulk_species("Nx", units="MG", note="Nicotine") -# nicotine_ri.add_bulk_species("HOCL", units="MG", note="Free Chlorine") -# nicotine_ri.add_bulk_species("NX2", units="MG", note="Intermediate Nicotine Reactive") -# # Add coefficients -# nicotine_ri.add_constant_coeff("kd", 3.0e-5, note="decay rate", units="1/min") -# nicotine_ri.add_constant_coeff("K1", global_value=9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") -# nicotine_ri.add_constant_coeff("K2", global_value=5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -# nicotine_ri.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") -# nicotine_ri.add_constant_coeff("K4", global_value=2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -# # Add terms (named subexpressions) -# nicotine_ri.add_other_term("RXCL", expression="kd*HOCL + K1*Nx*HOCL + K3*NX2*HOCL") -# nicotine_ri.add_other_term("RXN", expression="K2*Nx*HOCL") -# nicotine_ri.add_other_term("RXNX2", expression="K2*Nx*HOCL - K4*NX2*HOCL") -# # Add pipe reactions, one per species -# nicotine_ri.add_pipe_reaction("Nx", "RATE", expression="-RXN") -# nicotine_ri.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") -# nicotine_ri.add_pipe_reaction("NX2", "RATE", expression="RXNX2") -# # Tank reactions actually aren't necessary since there aren't any wall species -# nicotine_ri.add_tank_reaction("Nx", "RATE", expression="-RXN") -# nicotine_ri.add_tank_reaction("HOCL", "RATE", expression="-RXCL") -# nicotine_ri.add_tank_reaction("NX2", "RATE", expression="RXNX2") +# ===================== Nicotine-chlorine reactive intermediate species +# +nicotine_ri = WaterQualityReactionsModel( + title="Nicotine - Chlorine reaction with reactive intermediate", + desc="Values in libarary are for test purposes ONLY.", +) +"""A nicotine-chlorine reaction with a reactive intermediate""" +# Set the options +nicotine_ri.options.quality.area_units = "M2" +nicotine_ri.options.quality.rate_units = "MIN" +nicotine_ri.options.quality.timestep = 1 +nicotine_ri.options.quality.atol = 1.0e-10 +nicotine_ri.options.quality.rtol = 1.0e-10 +# Add species +nicotine_ri.add_bulk_species("Nx", units="MG", note="Nicotine") +nicotine_ri.add_bulk_species("HOCL", units="MG", note="Free Chlorine") +nicotine_ri.add_bulk_species("NX2", units="MG", note="Intermediate Nicotine Reactive") +# Add coefficients +nicotine_ri.add_constant_coeff("kd", 3.0e-5, note="decay rate", units="1/min") +nicotine_ri.add_constant_coeff("K1", global_value=9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") +nicotine_ri.add_constant_coeff("K2", global_value=5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +nicotine_ri.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") +nicotine_ri.add_constant_coeff("K4", global_value=2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") +# Add terms (named subexpressions) +nicotine_ri.add_other_term("RXCL", expression="kd*HOCL + K1*Nx*HOCL + K3*NX2*HOCL") +nicotine_ri.add_other_term("RXN", expression="K2*Nx*HOCL") +nicotine_ri.add_other_term("RXNX2", expression="K2*Nx*HOCL - K4*NX2*HOCL") +# Add pipe reactions, one per species +nicotine_ri.add_pipe_reaction("Nx", "RATE", expression="-RXN") +nicotine_ri.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") +nicotine_ri.add_pipe_reaction("NX2", "RATE", expression="RXNX2") +# Tank reactions actually aren't necessary since there aren't any wall species +nicotine_ri.add_tank_reaction("Nx", "RATE", expression="-RXN") +nicotine_ri.add_tank_reaction("HOCL", "RATE", expression="-RXCL") +nicotine_ri.add_tank_reaction("NX2", "RATE", expression="RXNX2") -# # ===================== Lead plumbosolvency model -# # -# lead_ppm = WaterQualityReactionsModel( -# title="Lead Plumbosolvency Model (from Burkhardt et al 2020)", -# desc="Parameters for EPA HPS Simulator Model", -# citations=[Citation( -# title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", -# year=2020, -# author=[ -# "Jonathan B. Burkhardt", -# "Hyoungmin Woo", -# "James Mason", -# "Feng Shang", -# "Simoni Triantafyllidou", -# "Michael R. Schock", -# "Darren Lytle", -# "Regan Murray", -# ], -# citation_class="article", -# journaltitle="J Water Resour Plan Manag", -# volume=146, -# number=12, -# fulldate="2020-12-01", -# doi="10.1061/(asce)wr.1943-5452.0001304", -# eprint=[ -# "PMID:33627937", -# "PMCID:PMC7898126", -# "NIHMSID:NIHMS1664627", -# ], -# )], -# allow_sympy_reserved_names=True, -# options={ -# "report": { -# "species": {"PB2": "YES"}, -# "species_precision": {"PB2": 5}, -# "nodes": "all", -# "links": "all", -# }, -# "quality": { -# "timestep": 1, -# "area_units": "M2", -# "rate_units": "SEC", -# "rtol": 1e-08, -# "atol": 1e-08, -# }, -# }, -# ) -# """A lead plumbosolvency model [BEMS20]_. +# ===================== Lead plumbosolvency model +# +lead_ppm = WaterQualityReactionsModel( + title="Lead Plumbosolvency Model (from Burkhardt et al 2020)", + desc="Parameters for EPA HPS Simulator Model", + citations=[Citation( + title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", + year=2020, + author=[ + "Jonathan B. Burkhardt", + "Hyoungmin Woo", + "James Mason", + "Feng Shang", + "Simoni Triantafyllidou", + "Michael R. Schock", + "Darren Lytle", + "Regan Murray", + ], + citation_class="article", + journaltitle="J Water Resour Plan Manag", + volume=146, + number=12, + fulldate="2020-12-01", + doi="10.1061/(asce)wr.1943-5452.0001304", + eprint=[ + "PMID:33627937", + "PMCID:PMC7898126", + "NIHMSID:NIHMS1664627", + ], + )], + allow_sympy_reserved_names=True, + options={ + "report": { + "species": {"PB2": "YES"}, + "species_precision": {"PB2": 5}, + "nodes": "all", + "links": "all", + }, + "quality": { + "timestep": 1, + "area_units": "M2", + "rate_units": "SEC", + "rtol": 1e-08, + "atol": 1e-08, + }, + }, +) +"""A lead plumbosolvency model [BEMS20]_. -# .. [BEMS20] -# J. B. Burkhardt, et al. (2020) -# "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". -# `Journal of water resources planning and management`. -# **146** (12). -# https://doi.org/10.1061/(asce)wr.1943-5452.0001304 +.. [BEMS20] + J. B. Burkhardt, et al. (2020) + "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". + `Journal of water resources planning and management`. + **146** (12). + https://doi.org/10.1061/(asce)wr.1943-5452.0001304 -# """ -# # add the species, coefficients and reactions -# lead_ppm.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") -# lead_ppm.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-1) * s^(-1)") -# lead_ppm.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") -# lead_ppm.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") -# lead_ppm.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") -# lead_ppm.add_tank_reaction("PB2", "RATE", expression="0") +""" +# add the species, coefficients and reactions +lead_ppm.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") +lead_ppm.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-1) * s^(-1)") +lead_ppm.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") +lead_ppm.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") +lead_ppm.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") +lead_ppm.add_tank_reaction("PB2", "RATE", expression="0") From a68835bb0d8cdb8c970551accb7268943f6f2c7c Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 19 Sep 2023 17:08:52 -0600 Subject: [PATCH 024/118] Updates to documentation, organization, and utilities --- .../apidoc/wntr.epanet.msx.enums.rst | 7 + .../apidoc/wntr.epanet.msx.exceptions.rst | 7 + documentation/apidoc/wntr.epanet.msx.io.rst | 7 + documentation/apidoc/wntr.epanet.msx.rst | 19 + .../apidoc/wntr.epanet.msx.toolkit.rst | 7 + documentation/apidoc/wntr.epanet.rst | 1 + documentation/apidoc/wntr.reaction.rst | 2 +- .../apidoc/wntr.reaction.toolkitmsx.rst | 7 - .../apidoc/wntr.utils.disjoint_mapping.rst | 8 + documentation/apidoc/wntr.utils.rst | 2 +- wntr/__init__.py | 1 + wntr/epanet/__init__.py | 1 + wntr/epanet/msx/__init__.py | 4 + wntr/epanet/msx/enums.py | 239 ++++++ wntr/epanet/msx/exceptions.py | 254 ++++++ wntr/epanet/msx/io.py | 757 +++++++++++++++++ wntr/epanet/msx/toolkit.py | 749 ++++++++++++++++ wntr/network/io.py | 4 +- wntr/network/model.py | 2 +- wntr/reaction/__init__.py | 7 +- wntr/reaction/base.py | 381 ++------- wntr/reaction/dynamics.py | 48 +- wntr/reaction/exceptions.py | 189 ----- wntr/reaction/io.py | 797 +----------------- wntr/reaction/library.py | 214 ++--- wntr/reaction/model.py | 409 +++++---- wntr/reaction/options.py | 12 +- wntr/reaction/toolkitmsx.py | 514 ----------- wntr/reaction/variables.py | 62 +- ...eactions.py => test_reaction_variables.py} | 152 ++-- wntr/utils/disjoint_mapping.py | 207 +++++ wntr/utils/enumtools.py | 119 +++ 32 files changed, 3005 insertions(+), 2184 deletions(-) create mode 100644 documentation/apidoc/wntr.epanet.msx.enums.rst create mode 100644 documentation/apidoc/wntr.epanet.msx.exceptions.rst create mode 100644 documentation/apidoc/wntr.epanet.msx.io.rst create mode 100644 documentation/apidoc/wntr.epanet.msx.rst create mode 100644 documentation/apidoc/wntr.epanet.msx.toolkit.rst delete mode 100644 documentation/apidoc/wntr.reaction.toolkitmsx.rst create mode 100644 documentation/apidoc/wntr.utils.disjoint_mapping.rst create mode 100644 wntr/epanet/msx/__init__.py create mode 100644 wntr/epanet/msx/enums.py create mode 100644 wntr/epanet/msx/exceptions.py create mode 100644 wntr/epanet/msx/io.py create mode 100644 wntr/epanet/msx/toolkit.py delete mode 100644 wntr/reaction/exceptions.py delete mode 100644 wntr/reaction/toolkitmsx.py rename wntr/tests/{test_reactions.py => test_reaction_variables.py} (53%) create mode 100644 wntr/utils/disjoint_mapping.py create mode 100644 wntr/utils/enumtools.py diff --git a/documentation/apidoc/wntr.epanet.msx.enums.rst b/documentation/apidoc/wntr.epanet.msx.enums.rst new file mode 100644 index 000000000..2f6312275 --- /dev/null +++ b/documentation/apidoc/wntr.epanet.msx.enums.rst @@ -0,0 +1,7 @@ +wntr.epanet.msx.enums module +============================ + +.. automodule:: wntr.epanet.msx.enums + :members: + :no-undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.epanet.msx.exceptions.rst b/documentation/apidoc/wntr.epanet.msx.exceptions.rst new file mode 100644 index 000000000..0f920ebf8 --- /dev/null +++ b/documentation/apidoc/wntr.epanet.msx.exceptions.rst @@ -0,0 +1,7 @@ +wntr.epanet.msx.exceptions module +================================= + +.. automodule:: wntr.epanet.msx.exceptions + :members: + :no-undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.epanet.msx.io.rst b/documentation/apidoc/wntr.epanet.msx.io.rst new file mode 100644 index 000000000..eb608d561 --- /dev/null +++ b/documentation/apidoc/wntr.epanet.msx.io.rst @@ -0,0 +1,7 @@ +wntr.epanet.msx.io module +========================= + +.. automodule:: wntr.epanet.msx.io + :members: + :no-undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.epanet.msx.rst b/documentation/apidoc/wntr.epanet.msx.rst new file mode 100644 index 000000000..0e115a092 --- /dev/null +++ b/documentation/apidoc/wntr.epanet.msx.rst @@ -0,0 +1,19 @@ +wntr.epanet.msx module +====================== + +.. automodule:: wntr.epanet.msx + :members: + :no-undoc-members: + :show-inheritance: + + +Submodules +---------- + +.. toctree:: + + wntr.epanet.msx.enums + wntr.epanet.msx.exceptions + wntr.epanet.msx.io + wntr.epanet.msx.toolkit + diff --git a/documentation/apidoc/wntr.epanet.msx.toolkit.rst b/documentation/apidoc/wntr.epanet.msx.toolkit.rst new file mode 100644 index 000000000..4ae1e206a --- /dev/null +++ b/documentation/apidoc/wntr.epanet.msx.toolkit.rst @@ -0,0 +1,7 @@ +wntr.epanet.msx.toolkit module +============================== + +.. automodule:: wntr.epanet.msx.toolkit + :members: + :no-undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.epanet.rst b/documentation/apidoc/wntr.epanet.rst index 1af96c98b..501523332 100644 --- a/documentation/apidoc/wntr.epanet.rst +++ b/documentation/apidoc/wntr.epanet.rst @@ -14,6 +14,7 @@ Submodules wntr.epanet.exceptions wntr.epanet.io + wntr.epanet.msx wntr.epanet.toolkit wntr.epanet.util diff --git a/documentation/apidoc/wntr.reaction.rst b/documentation/apidoc/wntr.reaction.rst index cf0d7e3d1..96221653a 100644 --- a/documentation/apidoc/wntr.reaction.rst +++ b/documentation/apidoc/wntr.reaction.rst @@ -6,6 +6,7 @@ wntr.reaction package :undoc-members: :show-inheritance: + Submodules ---------- @@ -18,5 +19,4 @@ Submodules wntr.reaction.library wntr.reaction.model wntr.reaction.options - wntr.reaction.toolkitmsx wntr.reaction.variables diff --git a/documentation/apidoc/wntr.reaction.toolkitmsx.rst b/documentation/apidoc/wntr.reaction.toolkitmsx.rst deleted file mode 100644 index ed46dfcad..000000000 --- a/documentation/apidoc/wntr.reaction.toolkitmsx.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.reaction.toolkitmsx module -=============================== - -.. automodule:: wntr.reaction.toolkitmsx - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.disjoint_mapping.rst b/documentation/apidoc/wntr.utils.disjoint_mapping.rst new file mode 100644 index 000000000..de6ab742d --- /dev/null +++ b/documentation/apidoc/wntr.utils.disjoint_mapping.rst @@ -0,0 +1,8 @@ +wntr.utils.disjoint_mapping module +================================== + +.. automodule:: wntr.utils.disjoint_mapping + :members: + :inherited-members: + :no-undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.rst b/documentation/apidoc/wntr.utils.rst index e4f3145d6..a2b0893fe 100644 --- a/documentation/apidoc/wntr.utils.rst +++ b/documentation/apidoc/wntr.utils.rst @@ -13,6 +13,6 @@ Submodules .. toctree:: wntr.utils.citations + wntr.utils.disjoint_mapping wntr.utils.logger wntr.utils.ordered_set - wntr.utils.citations diff --git a/wntr/__init__.py b/wntr/__init__.py index d6e352ebe..80e030a5a 100644 --- a/wntr/__init__.py +++ b/wntr/__init__.py @@ -7,6 +7,7 @@ from wntr import graphics from wntr import gis from wntr import utils +from wntr import reaction __version__ = '1.0.0' diff --git a/wntr/epanet/__init__.py b/wntr/epanet/__init__.py index de5a4f410..9d33d715a 100644 --- a/wntr/epanet/__init__.py +++ b/wntr/epanet/__init__.py @@ -5,3 +5,4 @@ from .util import FlowUnits, MassUnits, HydParam, QualParam, EN import wntr.epanet.toolkit import wntr.epanet.exceptions +import wntr.epanet.msx diff --git a/wntr/epanet/msx/__init__.py b/wntr/epanet/msx/__init__.py new file mode 100644 index 000000000..d4bf03075 --- /dev/null +++ b/wntr/epanet/msx/__init__.py @@ -0,0 +1,4 @@ +"""The wntr.epanet.msx package provides EPANET-MSX compatibility functions for WNTR. +""" +from .io import MsxFile +import wntr.epanet.msx.toolkit diff --git a/wntr/epanet/msx/enums.py b/wntr/epanet/msx/enums.py new file mode 100644 index 000000000..38c15cd0e --- /dev/null +++ b/wntr/epanet/msx/enums.py @@ -0,0 +1,239 @@ +"""EPANET-MSX enum types, for use in toolkit API calls.""" + +from enum import IntEnum +from wntr.utils.enumtools import add_get + +@add_get(prefix='MSX_') +class ObjectType(IntEnum): + """The enumeration for object type used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + NODE = 0 + LINK = 1 + PIPE = 1 + TANK = 2 + SPECIES = 3 + TERM = 4 + PARAMETER = 5 + CONSTANT = 6 + PATTERN = 7 + MAX_OBJECTS = 8 + + +@add_get(prefix='MSX_') +class SourceType(IntEnum): + """The enumeration for source type used in EPANET-MSX. + + .. warning:: These enum values start with -1. + """ + NOSOURCE = -1 + CONCEN = 0 + MASS = 1 + SETPOINT = 2 + FLOWPACED = 3 + + +@add_get(prefix='MSX_') +class UnitSystemType(IntEnum): + """The enumeration for the units system used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + US = 0 + SI = 1 + + +@add_get(prefix='MSX_') +class FlowUnitsType(IntEnum): + """The enumeration for the flow units used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + CFS = 0 + GPM = 1 + MGD = 2 + IMGD = 3 + AFD = 4 + LPS = 5 + LPM = 6 + MLD = 7 + CMH = 8 + CMD = 9 + + +@add_get(prefix='MSX_') +class MixType(IntEnum): + """The enumeration for the mixing model used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + MIX1 = 0 + MIX2 = 1 + FIFO = 2 + LIFO = 3 + + +@add_get(prefix='MSX_') +class SpeciesType(IntEnum): + """The enumeration for species type used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + BULK = 0 + WALL = 1 + + +@add_get(prefix='MSX_') +class ExpressionType(IntEnum): + """The enumeration for the expression type used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + NO_EXPR = 0 + RATE = 1 + FORMULA = 2 + EQUIL = 3 + + +@add_get(prefix='MSX_') +class SolverType(IntEnum): + """The enumeration for the solver type used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + EUL = 0 + RK5 = 1 + ROS2 = 2 + + +@add_get(prefix='MSX_') +class CouplingType(IntEnum): + """The enumeration for the coupling type option used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + NO_COUPLING = 0 + FULL_COUPLING = 1 + + +@add_get(prefix='MSX_') +class MassUnitsType(IntEnum): + """The enumeration for mass units used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + MG = 0 + UG = 1 + MOLE = 2 + MMOLE = 3 + + +@add_get(prefix='MSX_') +class AreaUnitsType(IntEnum): + """The enumeration for area units used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + FT2 = 0 + M2 = 1 + CM2 = 2 + + +@add_get(prefix='MSX_') +class RateUnitsType(IntEnum): + """The enumeration for rate units used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + SECONDS = 0 + MINUTES = 1 + HOURS = 2 + DAYS = 3 + + +@add_get(prefix='MSX_') +class UnitsType(IntEnum): + """The enumerations for units used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + LENGTH_UNITS = 0 + DIAM_UNITS = 1 + AREA_UNITS = 2 + VOL_UNITS = 3 + FLOW_UNITS = 4 + CONC_UNITS = 5 + RATE_UNITS = 6 + MAX_UNIT_TYPES = 7 + + +@add_get(prefix='MSX_') +class HydVarType(IntEnum): + """The enumeration for hydraulic variable used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + DIAMETER = 1 + FLOW = 2 + VELOCITY = 3 + REYNOLDS = 4 + SHEAR = 5 + FRICTION = 6 + AREAVOL = 7 + ROUGHNESS = 8 + LENGTH = 9 + MAX_HYD_VARS = 10 + + +@add_get(prefix='MSX_') +class TstatType(IntEnum): + """The enumeration used for time statistic in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + SERIES = 0 + AVERAGE = 1 + MINIMUM = 2 + MAXIMUM = 3 + RANGE = 4 + + +@add_get(prefix='MSX_') +class OptionType(IntEnum): + """The enumeration used for option in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + AREA_UNITS_OPTION = 0 + RATE_UNITS_OPTION = 1 + SOLVER_OPTION = 2 + COUPLING_OPTION = 3 + TIMESTEP_OPTION = 4 + RTOL_OPTION = 5 + ATOL_OPTION = 6 + COMPILER_OPTION =7 + MAXSEGMENT_OPTION = 8 + PECLETNUMBER_OPTION = 9 + + +@add_get(prefix='MSX_') +class CompilerType(IntEnum): + """The enumeration used for specifying compiler options in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + NO_COMPILER = 0 + VC = 1 + GC = 2 + + +@add_get(prefix='MSX_') +class FileModeType(IntEnum): + """The enumeration for file model used in EPANET-MSX. + + .. warning:: These enum values start with 0. + """ + SCRATCH_FILE = 0 + SAVED_FILE = 1 + USED_FILE = 2 diff --git a/wntr/epanet/msx/exceptions.py b/wntr/epanet/msx/exceptions.py new file mode 100644 index 000000000..9afaa3f0a --- /dev/null +++ b/wntr/epanet/msx/exceptions.py @@ -0,0 +1,254 @@ +# coding: utf-8 +"""EPANET-MSX error and exception classes.""" + +from enum import IntEnum +from typing import List +from ..exceptions import EpanetException, EN_ERROR_CODES, EpanetErrorEnum + + +MSX_ERROR_CODES = EN_ERROR_CODES.copy() +MSX_ERROR_CODES.update( + { + # MSX syntax errors + 401: "too many characters", + 402: "too few input items", + 403: "invalid keyword: '%s'", + 404: "invalid numeric value: '%s'", + 405: "reference to undefined object: '%s'", + 406: "illegal use of reserved name: '%s'", + 407: "name already used by another object: '%s'", + 408: "species already assigned an expression: '%s'", + 409: "illegal math expression", + 410: "option no longer supported", + 411: "term '%s' contains a cyclic reference", + # MSX runtime errors + 501: "insufficient memory available", + 502: "no EPANET data file supplied", + 503: "could not open MSX input file %s", + 504: "could not open hydraulic results file", + 505: "could not read hydraulic results file", + 506: "could not read MSX input file %s", + 507: "too few pipe reaction expressions", + 508: "too few tank reaction expressions", + 509: "could not open differential equation solver", + 510: "could not open algebraic equation solver", + 511: "could not open binary results file", + 512: "read/write error on binary results file", + 513: "could not integrate reaction rate expressions", + 514: "could not solve reaction equilibrium expressions", + 515: "reference made to an unknown type of object %s", + 516: "reference made to an illegal object index %s", + 517: "reference made to an undefined object ID %s", + 518: "invalid property values were specified", + 519: "an MSX project was not opened", + 520: "an MSX project is already opened", + 522: "could not compile chemistry functions", + 523: "could not load functions from compiled chemistry file", + 524: "illegal math operation", + } +) + + +class MSXErrors(IntEnum): + too_many_chars_msx = 401 + too_few_items = 402 + invalid_keyword = 403 + invalid_numeric_value_msx = 404 + undefined_msx_object = 405 + illegal_reserved_name = 406 + name_in_use = 407 + species_already_assigned = 408 + illegal_math_expression = 409 + option_deprecated = 410 + cyclic_reference = 411 + insufficient_memory_msx = 501 + no_epanet_datafile = 502 + open_msx_fail = 503 + open_hyd_fail_msx = 504 + read_hyd_fail_msx = 505 + read_msx_fail = 506 + not_enough_pipe_reactions = 507 + not_enough_tank_reactions = 508 + open_de_solver_fail = 509 + open_ae_solver_fail = 510 + open_bin_fail_msx = 511 + io_error_msx_bin = 512 + solve_rate_failed = 513 + solve_equil_failed = 514 + unknown_object_type = 515 + illegal_object_index = 516 + undefined_object_id = 517 + invalid_property_value = 518 + msx_project_not_open = 519 + msx_project_open = 520 + compile_chem_failed = 522 + load_compiled_chem_failed = 523 + illegal_math_operation = 524 + insufficient_memory = 101 + no_network = 102 + no_init_hyd = 103 + no_hydraulics = 104 + no_init_qual = 105 + no_results = 106 + hyd_file = 107 + hyd_init_and_hyd_file = 108 + modify_time_during_solve = 109 + solve_hyd_fail = 110 + solve_qual_fail = 120 + input_file_error = 200 + syntax_error = 201 + illegal_numeric_value = 202 + undefined_node = 203 + undefined_link = 204 + undefined_pattern = 205 + undefined_curve = 206 + control_on_cv_gpv = 207 + illegal_pda_limits = 208 + illegal_node_property = 209 + illegal_link_property = 211 + undefined_trace_node = 212 + invalid_option_value = 213 + too_many_chars_inp = 214 + duplicate_id = 215 + undefined_pump = 216 + invalid_energy_value = 217 + illegal_valve_tank = 219 + illegal_tank_valve = 219 + illegal_valve_valve = 220 + misplaced_rule = 221 + link_to_self = 222 + not_enough_nodes = 223 + no_tanks_or_res = 224 + invalid_tank_levels = 225 + missing_pump_data = 226 + invalid_head_curve = 227 + nonincreasing_x_curve = 230 + unconnected_node = 233 + unconnected_node_id = 234 + no_such_source_node = 240 + no_such_control = 241 + invalid_name_format = 250 + invalid_parameter_code = 251 + invalid_id_name = 252 + no_such_demand_category = 253 + missing_coords = 254 + invalid_vertex = 255 + no_such_rule = 257 + no_such_rule_clause = 258 + delete_node_still_linked = 259 + delete_node_is_trace = 260 + delete_node_in_control = 261 + modify_network_during_solve = 262 + node_not_a_tank = 263 + same_file_names = 301 + open_inp_fail = 302 + open_rpt_fail = 303 + open_bin_fail = 304 + open_hyd_fail = 305 + hyd_file_different_network = 306 + read_hyd_fail = 307 + save_bin_fail = 308 + save_rpt_fail = 309 + + +class EpanetMsxException(EpanetException): + def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> None: + """An Exception class for EPANET-MSX Toolkit and IO exceptions. + + Parameters + ---------- + code : int or str or MSXErrors + The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + args : additional non-keyword arguments, optional + If there is a string-format within the error code's text, these will be used to + replace the format, otherwise they will be output at the end of the Exception message. + line_num : int, optional + The line number, if reading an INP file, by default None + line : str, optional + The contents of the line, by default None + """ + if isinstance(code, (EpanetErrorEnum, MSXErrors)): + code = int(code) + elif isinstance(code, str): + try: + code = code.strip().replace("-", "_").replace(" ", "_") + code = int(MSXErrors[code]) + except KeyError: + return super(Exception, self).__init__("unknown error code: {}".format(repr(code)), *args) + elif not isinstance(code, int): + return super(Exception, self).__init__("unknown error code: {}".format(repr(code)), *args) + msg = MSX_ERROR_CODES.get(code, "unknown error") + if args is not None: + args = [*args] + if r"%" in msg and len(args) > 0: + msg = msg % args.pop(0) + if len(args) > 0: + msg = msg + " " + str(args) + if line_num: + msg = msg + ", at line {}".format(line_num) + if line: + msg = msg + ":\n " + str(line) + msg = "(Error {}) ".format(code) + msg + super(Exception, self).__init__(msg) + + +class MSXSyntaxError(EpanetMsxException, SyntaxError): + def __init__(self, code, *args, line_num=None, line=None) -> None: + """An MSX-specific error that is due to a syntax error in an msx-file. + + Parameters + ---------- + code : int or str or MSXErrors + The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + args : additional non-keyword arguments, optional + If there is a string-format within the error code's text, these will be used to + replace the format, otherwise they will be output at the end of the Exception message. + line_num : int, optional + The line number, if reading an INP file, by default None + line : str, optional + The contents of the line, by default None + """ + super().__init__(code, *args, line_num=line_num, line=line) + + +class MSXKeyError(EpanetMsxException, KeyError): + def __init__(self, code, name, *args, line_num=None, line=None) -> None: + """An MSX-specific error that is due to a missing or unacceptably named variable/speces/etc. + + Parameters + ---------- + code : int or str or MSXErrors + The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + name : str + The key/name/id that is missing + args : additional non-keyword arguments, optional + If there is a string-format within the error code's text, these will be used to + replace the format, otherwise they will be output at the end of the Exception message. + line_num : int, optional + The line number, if reading an INP file, by default None + line : str, optional + The contents of the line, by default None + """ + super().__init__(code, name, *args, line_num=line_num, line=line) + + +class MSXValueError(EpanetMsxException, ValueError): + def __init__(self, code, value, *args, line_num=None, line=None) -> None: + """An MSX-specific error that is related to an invalid value. + + Parameters + ---------- + code : int or str or MSXErrors + The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + value : Any + The value that is invalid + args : additional non-keyword arguments, optional + If there is a string-format within the error code's text, these will be used to + replace the format, otherwise they will be output at the end of the Exception message. + line_num : int, optional + The line number, if reading an INP file, by default None + line : str, optional + The contents of the line, by default None + """ + + super().__init__(code, value, *args, line_num=line_num, line=line) diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py new file mode 100644 index 000000000..5273f91a0 --- /dev/null +++ b/wntr/epanet/msx/io.py @@ -0,0 +1,757 @@ +# coding: utf-8 + +import datetime +from io import FileIO, TextIOWrapper +import logging +import sys + +from wntr.network.elements import Source +from wntr.reaction.base import LocationType, VariableType +from wntr.reaction.base import MSXComment +from wntr.reaction.model import MultispeciesReactionModel +from wntr.epanet.msx.exceptions import EpanetMsxException +from wntr.reaction.variables import Parameter, Species +from wntr.utils.citations import Citation + +sys_default_enc = sys.getdefaultencoding() + +logger = logging.getLogger(__name__) + +MAX_LINE = 1024 + +_INP_SECTIONS = [ + "[TITLE]", + "[OPTIONS]", + "[SPECIES]", + "[COEFFICIENTS]", + "[TERMS]", + "[PIPES]", + "[TANKS]", + "[SOURCES]", + "[QUALITY]", + "[PARAMETERS]", + "[DIFFUSIVITY]", + "[PATTERNS]", + "[REPORT]", +] + + +def _split_line(line): + _vc = line.split(";", 1) + _cmnt = None + _vals = None + if len(_vc) == 0: + pass + elif len(_vc) == 1: + _vals = _vc[0].split() + elif _vc[0] == "": + _cmnt = _vc[1].strip() + else: + _vals = _vc[0].split() + _cmnt = _vc[1].strip() + return _vals, _cmnt + + +class MsxFile(object): + def __init__(self): + self.sections = dict() + for sec in _INP_SECTIONS: + self.sections[sec] = [] + self.top_comments = [] + self.patterns = dict() + + def read(self, msx_file, rxn_model=None): + """ + Read an EPANET-MSX input file (.msx) and load data into a water quality + reactions model. Only MSX 2.0 files are recognized. + + Parameters + ---------- + msx_file : str + the filename of the .msx file to read in + rxn_model : WaterQualityReactionsModel, optional + the model to put data into, by default None (new model) + + Returns + ------- + WaterQualityReactionsModel + the model with the new species, reactions and other options added + """ + if rxn_model is None: + rxn_model = MultispeciesReactionModel() + self.rxn = rxn_model + # if not isinstance(msx_file, list): + # msx_file = [msx_file] + rxn_model.filename = msx_file + + self.patterns = dict() + self.top_comments = [] + self.sections = dict() + for sec in _INP_SECTIONS: + self.sections[sec] = [] + + def _read(): + section = None + lnum = 0 + edata = {"fname": msx_file} + with open(msx_file, "r", encoding=sys_default_enc) as f: + for line in f: + lnum += 1 + edata["lnum"] = lnum + line = line.strip() + nwords = len(line.split()) + if len(line) == 0 or nwords == 0: + # Blank line + continue + elif line.startswith("["): + vals = line.split(None, 1) + sec = vals[0].upper() + # Add handlers to deal with extra 'S'es (or missing 'S'es) in INP file + if sec not in _INP_SECTIONS: + trsec = sec.replace("]", "S]") + if trsec in _INP_SECTIONS: + sec = trsec + if sec not in _INP_SECTIONS: + trsec = sec.replace("S]", "]") + if trsec in _INP_SECTIONS: + sec = trsec + edata["sec"] = sec + if sec in _INP_SECTIONS: + section = sec + # logger.info('%(fname)s:%(lnum)-6d %(sec)13s section found' % edata) + continue + elif sec == "[END]": + # logger.info('%(fname)s:%(lnum)-6d %(sec)13s end of file found' % edata) + section = None + break + else: + logger.warning('%(fname)s:%(lnum)d: Invalid section "%(sec)s"' % edata) + raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) + elif section is None and line.startswith(";"): + self.top_comments.append(line[1:]) + continue + elif section is None: + logger.debug("Found confusing line: %s", repr(line)) + raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) + # We have text, and we are in a section + self.sections[section].append((lnum, line)) + try: + _read() + self._read_title() + self._read_options() + self._read_species() + self._read_coefficients() + self._read_terms() + self._read_pipes() + self._read_tanks() + self._read_sources() + self._read_quality() + self._read_parameters() + self._read_diffusivity() + self._read_patterns() + self._read_report() + return self.rxn + except Exception as e: + raise EpanetMsxException(200) from e + + def _read_title(self): + lines = [] + title = None + comments = "" + for lnum, line in self.sections["[TITLE]"]: + vals, comment = _split_line(line) + if title is None and vals is not None: + title = " ".join(vals) + if comment: + lines.append(comment.strip()) + if self.top_comments: + comments = "\n".join(self.top_comments) + if len(lines) > 0: + comments = comments + ("\n" if comments else "") + "\n".join(lines) + self.rxn.title = title + self.rxn.desc = comments + + def _read_options(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[OPTIONS]"]: + vals, comment = _split_line(line) + try: + if len(vals) < 2: + raise EpanetMsxException(402, note="at line {} of [OPTIONS] section:\n{}".format(lnum, line)) + name, val = vals[0].upper(), vals[1].upper() + if name == "AREA_UNITS": + self.rxn._options.quality.area_units = val + elif name == "RATE_UNITS": + self.rxn._options.quality.rate_units = val + elif name == "SOLVER": + self.rxn._options.quality.solver = val + elif name == "COUPLING": + self.rxn._options.quality.coupling = val + elif name == "TIMESTEP": + self.rxn._options.quality.timestep = int(val) + elif name == "ATOL": + self.rxn._options.quality.atol = float(val) + elif name == "RTOL": + self.rxn._options.quality.rtol = float(val) + elif name == "COMPILER": + self.rxn._options.quality.compiler = val + elif name == "SEGMENTS": + self.rxn._options.quality.segments = int(val) + elif name == "PECLET": + self.rxn._options.quality.peclet = int(val) + else: + raise EpanetMsxException(403, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) + except ValueError: + raise EpanetMsxException(404, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) from e + + def _read_species(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[SPECIES]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + if len(vals) < 3: + raise EpanetMsxException(402, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) + if len(vals) == 3: + species = self.rxn.add_species(vals[0], vals[1], vals[2], note=note) + elif len(vals) == 5: + species = self.rxn.add_species(vals[0], vals[1], vals[2], float(vals[3]), float(vals[4]), note=note) + else: + raise EpanetMsxException(201, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def _read_coefficients(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[COEFFICIENTS]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + if len(vals) < 3: + raise EpanetMsxException(402, note='at line {} of [COEFFICIENTS] section:\n{}'.format(lnum, line)) + coeff = self.rxn.add_coefficient(vals[0], vals[1], float(vals[2]), note=note) + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [COEFFICIENTS] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def _read_terms(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[TERMS]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + if len(vals) < 2: + raise SyntaxError("Invalid [TERMS] entry") + term = self.rxn.add_other_term(vals[0], " ".join(vals[1:]), note=note) + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [TERMS] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def _read_pipes(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[PIPES]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + if len(vals) < 3: + raise SyntaxError("Invalid [PIPES] entry") + reaction = self.rxn.add_pipe_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [PIPES] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def _read_tanks(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[TANKS]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + if len(vals) < 3: + raise SyntaxError("Invalid [TANKS] entry") + reaction = self.rxn.add_tank_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [TANKS] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def _read_sources(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[SOURCES]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + if len(vals) == 4: + typ, node, spec, strength = vals + pat = None + else: + typ, node, spec, strength, pat = vals + if not self.rxn.has_variable(spec): + raise ValueError("Undefined species in [SOURCES] section: {}".format(spec)) + if spec not in self.rxn._sources.keys(): + self.rxn._sources[spec] = dict() + source = dict(source_type=typ, strength=strength, pattern=pat, note=note) + self.rxn._sources[spec][node] = source + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [SOURCES] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def _read_quality(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[QUALITY]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + if len(vals) == 4: + cmd, netid, spec, concen = vals + else: + cmd, spec, concen = vals + if cmd[0].lower() not in ["g", "n", "l"]: + raise SyntaxError("Unknown first word in [QUALITY] section") + if not self.rxn.has_variable(spec): + raise ValueError("Undefined species in [QUALITY] section: {}".format(spec)) + if spec not in self.rxn._inital_quality.keys(): + self.rxn._inital_quality[spec] = dict(global_value=None, nodes=dict(), links=dict()) + if cmd[0].lower() == "g": + self.rxn._inital_quality[spec]["global_value"] = float(concen) + elif cmd[0].lower() == "n": + self.rxn._inital_quality[spec]["nodes"][netid] = float(concen) + elif cmd[1].lower() == "l": + self.rxn._inital_quality[spec]["links"][netid] = float(concen) + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [QUALITY] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def _read_parameters(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[PARAMETERS]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + typ, netid, paramid, value = vals + coeff = self.rxn.get_variable(paramid) + if not isinstance(coeff, Parameter): + raise ValueError("Invalid parameter {}".format(paramid)) + value = float(value) + if typ.lower()[0] == "p": + coeff.pipe_values[netid] = value + elif typ.lower()[0] == "t": + coeff.tank_values[netid] = value + else: + raise ValueError("Invalid parameter type {}".format(typ)) + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [PARAMETERS] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def _read_diffusivity(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[DIFFUSIVITY]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + if len(vals) != 2: + raise SyntaxError("Invalid [DIFFUSIVITIES] entry") + species = self.rxn.get_variable(vals[0]) + if not isinstance(species, Species): + raise RuntimeError("Invalid species {} in diffusivity".format(vals[0])) + species.diffusivity = float(vals[1]) + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [DIFFUSIVITIES] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def _read_patterns(self): + _patterns = dict() + for lnum, line in self.sections["[PATTERNS]"]: + # read the lines for each pattern -- patterns can be multiple lines of arbitrary length + line = line.split(";")[0] + current = line.split() + if current == []: + continue + pattern_name = current[0] + if pattern_name not in _patterns: + _patterns[pattern_name] = [] + for i in current[1:]: + _patterns[pattern_name].append(float(i)) + else: + for i in current[1:]: + _patterns[pattern_name].append(float(i)) + for pattern_name, pattern in _patterns.items(): + # add the patterns to the water newtork model + self.rxn.add_pattern(pattern_name, pattern) + + def _read_report(self): + lines = [] + note = MSXComment() + for lnum, line in self.sections["[REPORT]"]: + vals, comment = _split_line(line) + if vals is None: + if comment is not None: + note.pre.append(comment) + continue + try: + if comment is not None: + note.post = comment + if len(vals) == 0: + continue + if len(vals) < 2: + raise SyntaxError("Invalid number of arguments in [REPORT] section") + cmd = vals[0][0].lower() + if cmd == "n": # NODES + if self.rxn._options.report.nodes is None: + if vals[1].upper() == "ALL": + self.rxn._options.report.nodes = "ALL" + else: + self.rxn._options.report.nodes = list() + self.rxn._options.report.nodes.extend(vals[1:]) + elif isinstance(self.rxn._options.report.nodes, list): + if vals[1].upper() == "ALL": + self.rxn._options.report.nodes = "ALL" + else: + self.rxn._options.report.nodes.extend(vals[1:]) + elif cmd == "l": # LINKS + if self.rxn._options.report.links is None: + if vals[1].upper() == "ALL": + self.rxn._options.report.links = "ALL" + else: + self.rxn._options.report.links = list() + self.rxn._options.report.links.extend(vals[1:]) + elif isinstance(self.rxn._options.report.links, list): + if vals[1].upper() == "ALL": + self.rxn._options.report.links = "ALL" + else: + self.rxn._options.report.links.extend(vals[1:]) + elif cmd == "f": + self.rxn._options.report.report_filename = vals[1] + elif cmd == "p": + self.rxn._options.report.pagesize = vals[1] + elif cmd == "s": + if not self.rxn.has_variable(vals[1]): + raise ValueError("Undefined species in [REPORT] section: {}".format(vals[1])) + self.rxn._options.report.species[vals[1]] = True if vals[2].lower().startswith("y") else False + if len(vals) == 4: + self.rxn._options.report.species_precision[vals[1]] = int(vals[3]) + else: + raise SyntaxError("Invalid syntax in [REPORT] section: unknown first word") + except EpanetMsxException: + raise + except Exception as e: + raise EpanetMsxException(201, note='at line {} of [REPORT] section:\n{}'.format(lnum, line)) from e + else: + note = MSXComment() + + def write(self, filename: str, rxn: MultispeciesReactionModel): + self.rxn = rxn + with open(filename, "w") as fout: + + fout.write("; WNTR-reactions MSX file generated {}\n".format(datetime.datetime.now())) + fout.write("\n") + self._write_title(fout) + self._write_options(fout) + self._write_species(fout) + self._write_coefficients(fout) + self._write_terms(fout) + self._write_pipes(fout) + self._write_tanks(fout) + self._write_sources(fout) + self._write_quality(fout) + self._write_diffusivity(fout) + self._write_parameters(fout) + self._write_patterns(fout) + self._write_report(fout) + fout.write("; END of MSX file generated by WNTR\n") + + def _write_title(self, fout): + fout.write("[TITLE]\n") + fout.write(" {}\n".format(self.rxn.title)) + fout.write("\n") + # if self.rxn.desc is not None: + # desc = self.rxn.desc.splitlines() + # desc = " ".join(desc) + # fout.write("; @desc={}\n".format(desc)) + # fout.write("\n") + # if self.rxn.citations is not None: + # if isinstance(self.rxn.citations, list): + # for citation in self.rxn.citations: + # fout.write("; @cite={}\n".format(citation.to_dict() if isinstance(citation, Citation) else str(citation))) + # fout.write("\n") + # else: + # citation = self.rxn.citations + # fout.write("; @cite={}\n".format(citation.to_dict() if isinstance(citation, Citation) else str(citation))) + # fout.write("\n") + + def _write_options(self, fout): + opts = self.rxn._options + fout.write("[OPTIONS]\n") + fout.write(" AREA_UNITS {}\n".format(opts.quality.area_units.upper())) + fout.write(" RATE_UNITS {}\n".format(opts.quality.rate_units.upper())) + fout.write(" SOLVER {}\n".format(opts.quality.solver.upper())) + fout.write(" COUPLING {}\n".format(opts.quality.coupling.upper())) + fout.write(" TIMESTEP {}\n".format(opts.quality.timestep)) + fout.write(" ATOL {}\n".format(opts.quality.atol)) + fout.write(" RTOL {}\n".format(opts.quality.rtol)) + fout.write(" COMPILER {}\n".format(opts.quality.compiler.upper())) + fout.write(" SEGMENTS {}\n".format(opts.quality.segments)) + fout.write(" PECLET {}\n".format(opts.quality.peclet)) + fout.write("\n") + + def _write_species(self, fout): + fout.write("[SPECIES]\n") + for var in self.rxn.variables(var_type=VariableType.BULK): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + for var in self.rxn.variables(var_type=VariableType.WALL): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_coefficients(self, fout): + fout.write("[COEFFICIENTS]\n") + for var in self.rxn.variables(var_type=VariableType.CONST): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + for var in self.rxn.variables(var_type=VariableType.PARAM): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_terms(self, fout): + fout.write("[TERMS]\n") + for var in self.rxn.variables(var_type=VariableType.TERM): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_pipes(self, fout): + fout.write("[PIPES]\n") + for var in self.rxn.reactions(location=LocationType.PIPE): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_tanks(self, fout): + fout.write("[TANKS]\n") + for var in self.rxn.reactions(location=LocationType.TANK): + if isinstance(var.note, MSXComment): + fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + elif isinstance(var.note, str): + fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + else: + fout.write(" {}\n".format(var.to_msx_string())) + fout.write("\n") + + def _write_sources(self, fout): + fout.write("[SOURCES]\n") + for species in self.rxn._sources.keys(): + for node, src in self.rxn._sources[species].items(): + if isinstance(src["note"], MSXComment): + fout.write( + src["note"].wrap_msx_string( + "{:<10s} {:<8s} {:<8s} {:12s} {:<12s}".format(src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "") + ) + ) + elif isinstance(src["note"], str): + fout.write( + " {:<10s} {:<8s} {:<8s} {} {:<12s} ; {}\n".format( + src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "", src["note"] + ) + ) + else: + fout.write( + " {:<10s} {:<8s} {:<8s} {} {:<12s}\n".format(src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "") + ) + if src["note"] is not None: + fout.write("\n") + fout.write("\n") + + def _write_quality(self, fout): + fout.write("[QUALITY]\n") + for species in self.rxn._inital_quality.keys(): + for typ, val in self.rxn._inital_quality[species].items(): + if typ == "global_value": + fout.write(" {:<8s} {:<8s} {}\n".format("GLOBAL", species, val)) + elif typ in ["nodes", "links"]: + for node, conc in val.items(): + fout.write(" {:<8s} {:<8s} {:<8s} {}\n".format(typ.upper()[0:4], node, species, conc)) + fout.write("\n") + + def _write_parameters(self, fout): + fout.write("[PARAMETERS]\n") + for var in self.rxn.variables(var_type=VariableType.PARAM): + had_entries = False + if not isinstance(var, Parameter): + pass + paramID = var.name + for pipeID, value in var.pipe_values.items(): + fout.write(" PIPE {:<8s} {:<8s} {}\n".format(pipeID, paramID, value)) + had_entries = True + for tankID, value in var.tank_values.items(): + fout.write(" PIPE {:<8s} {:<8s} {}\n".format(tankID, paramID, value)) + had_entries = True + if had_entries: + fout.write("\n") + fout.write("\n") + + def _write_patterns(self, fout): + fout.write("[PATTERNS]\n") + for pattern_name, pattern in self.rxn._patterns.items(): + num_columns = 10 + count = 0 + for i in pattern: # .multipliers: + if count % num_columns == 0: + fout.write("\n {:<8s} {:g}".format(pattern_name, i)) + else: + fout.write(" {:g}".format(i)) + count += 1 + fout.write("\n") + fout.write("\n") + + def _write_diffusivity(self, fout): + fout.write("[DIFFUSIVITY]\n") + for name in self.rxn.species_name_list: + spec: Species = self.rxn.get_variable(name) + if spec.diffusivity is not None: + fout.write(" {:<8s} {}\n".format(name, spec.diffusivity)) + fout.write("\n") + + def _write_report(self, fout): + fout.write("[REPORT]\n") + if self.rxn._options.report.nodes is not None: + if isinstance(self.rxn._options.report.nodes, str): + fout.write(" NODES {}\n".format(self.rxn.options.report.nodes)) + else: + fout.write(" NODES {}\n".format(" ".join(self.rxn.options.report.nodes))) + if self.rxn._options.report.links is not None: + if isinstance(self.rxn._options.report.links, str): + fout.write(" LINKS {}\n".format(self.rxn.options.report.links)) + else: + fout.write(" LINKS {}\n".format(" ".join(self.rxn.options.report.links))) + for spec, val in self.rxn._options.report.species.items(): + fout.write( + " SPECIES {:<8s} {:<3s} {}\n".format( + spec, + "YES" if val else "NO", + self.rxn._options.report.species_precision[spec] if spec in self.rxn._options.report.species_precision.keys() else "", + ) + ) + if self.rxn._options.report.report_filename: + fout.write(" FILE {}\n".format(self.rxn._options.report.report_filename)) + if self.rxn._options.report.pagesize: + fout.write(" PAGESIZE {}\n".format(self.rxn._options.report.pagesize)) + fout.write("\n") + + +class MsxBinFile(object): + def __init__(self): + pass + + def read(self, filename): + pass diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py new file mode 100644 index 000000000..9cc971d80 --- /dev/null +++ b/wntr/epanet/msx/toolkit.py @@ -0,0 +1,749 @@ +""" +The wntr.reaction.toolkit module is a Python extension for the EPANET MSX +Programmers Toolkit DLLs. + +.. note:: + + Code in this section taken from code originally written by Junli Hao 07/29/2018, + "EPANET-MSX-Python-wrapper" on GitHub, licensed under the BSD license. See LICENSE.txt for more + details. + + +""" +import ctypes +from enum import IntEnum +import os +import os.path +import platform +import sys +from ctypes import byref +from typing import Union + +from pkg_resources import resource_filename + +from wntr.epanet.msx.enums import ObjectType, SourceType + +from ..toolkit import ENepanet +from ..util import SizeLimits +from .exceptions import EpanetMsxException, MSX_ERROR_CODES, MSXKeyError, MSXValueError + +epanet_toolkit = "wntr.epanet.toolkit" + +if os.name in ["nt", "dos"]: + libepanet = resource_filename(__name__, "../Windows/epanet2.dll") + libmsx = resource_filename(__name__, "../Windows/epanetmsx.dll") +elif sys.platform in ["darwin"]: + libepanet = resource_filename(__name__, "../Darwin/libepanet.dylib") + libmsx = resource_filename(__name__, "../Darwin/libepanetmsx.dylib") +else: + libepanet = resource_filename(__name__, "../Linux/libepanet2.so") + libmsx = resource_filename(__name__, "../Linux/libepanetmsx.so") + +import logging + +logger = logging.getLogger(__name__) + + +class MSXepanet(ENepanet): + def __init__(self, inpfile="", rptfile="", binfile="", msxfile=""): + + self.ENlib = None + self.errcode = 0 + self.errcodelist = [] + self.cur_time = 0 + + self.Warnflag = False + self.Errflag = False + self.fileLoaded = False + + self.inpfile = inpfile + self.rptfile = rptfile + self.binfile = binfile + + libnames = ["epanetmsx", "epanetmsx_win32"] + if "64" in platform.machine(): + libnames.insert(0, "epanetmsx_amd64") + for lib in libnames: + try: + if os.name in ["nt", "dos"]: + libepanet = resource_filename(epanet_toolkit, "Windows/%s.dll" % lib) + self.ENlib = ctypes.windll.LoadLibrary(libepanet) + elif sys.platform in ["darwin"]: + libepanet = resource_filename(epanet_toolkit, "Darwin/lib%s.dylib" % lib) + self.ENlib = ctypes.cdll.LoadLibrary(libepanet) + else: + libepanet = resource_filename(epanet_toolkit, "Linux/lib%s.so" % lib) + self.ENlib = ctypes.cdll.LoadLibrary(libepanet) + return + except Exception as E1: + if lib == libnames[-1]: + raise E1 + pass + finally: + self._project = None + + return + + def _error(self, *args): + """Print the error text the corresponds to the error code returned""" + if not self.errcode: + return + # errtxt = self.ENlib.ENgeterror(self.errcode) + errtext = MSX_ERROR_CODES.get(self.errcode, 'unknown error') + if '%' in errtext and len(args) == 1: + errtext % args + if self.errcode >= 100: + self.Errflag = True + logger.error("EPANET error {} - {}".format(self.errcode, errtext)) + raise EpanetMsxException(self.errcode) + return + + # ----------running the simulation----------------------------------------------------- + def MSXopen(self, msxfile): + """Opens the MSX Toolkit to analyze a particular distribution system. + + Parameters + ---------- + msxfile : str + name of the MSX input file + """ + ierr = self.ENlib.MSXopen(ctypes.c_char_p(msxfile.encode())) + if ierr != 0: + raise EpanetMsxException(ierr, msxfile) + + def MSXclose(self): + """Closes down the Toolkit system (including all files being processed)""" + ierr = self.ENlib.MSXclose() + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXusehydfile(self, filename): + """Uses the contents of the specified file as the current binary hydraulics file + + Parameters + ---------- + filename : str + Name of the hydraulics file to use + """ + ierr = self.ENlib.MSXusehydfile(ctypes.c_char_p(filename.encode())) + if ierr != 0: + raise EpanetMsxException(ierr, filename) + + def MSXsolveH(self): + """Runs a complete hydraulic simulation with results + for all time periods written to the binary Hydraulics file.""" + ierr = self.ENlib.MSXsolveH() + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXinit(self, saveFlag=0): + """Initializes the MSX system before solving for water quality results in step-wise fashion + set saveFlag to 1 if water quality results should be saved to a scratch binary file, or to 0 is not saved to file""" + saveFlag = int(saveFlag) + ierr = self.ENlib.MSXinit(saveFlag) + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXsolveQ(self): + """solves for water quality over the entire simulation period and saves the results to an internal scratch file""" + ierr = self.ENlib.MSXsolveQ() + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXstep(self): + """Advances the water quality simulation one water quality time step. + The time remaining in the overall simulation is returned as tleft, the current time as t.""" + t = ctypes.c_long() + tleft = ctypes.c_long() + ierr = self.ENlib.MSXstep(ctypes.byref(t), ctypes.byref(tleft)) + if ierr != 0: + raise EpanetMsxException(ierr) + out = [t.value, tleft.value] + return out + + def MSXsaveoutfile(self, filename): + """saves water quality results computed for each node, link and reporting time period to a named binary file + + Parameters + ---------- + filename : str + Save a binary results file + """ + ierr = self.ENlib.MSXsaveoutfile(ctypes.c_char_p(filename.encode())) + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXsavemsxfile(self, filename): + """saves the data associated with the current MSX project into a new MSX input file + + Parameters + ---------- + filename : str + the name of the MSX input file to create + """ + ierr = self.ENlib.MSXsavemsxfile(ctypes.c_char_p(filename.encode())) + if ierr != 0: + raise EpanetMsxException(ierr, filename) + + def MSXreport(self): + """Writes water quality simulations results as instructed by the MSX input file to a text file""" + ierr = self.ENlib.MSXreport() + if ierr != 0: + raise EpanetMsxException(ierr) + + # ---------get parameters--------------------------------------------------------------- + def MSXgetindex(self, _type: Union[int, ObjectType], name): + """Retrieves the internal index of an MSX object given its name. + + Parameters + ---------- + _type : int, str or ObjectType + The type of object to get an index for + name : str + The name of the object to get an index for + + Returns + ------- + int + The internal index + + Raises + ------ + MSXKeyError + if an invalid str is passed for _type + MSXValueError + if _type is not a valid MSX object type + """ + try: + _type = ObjectType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + type_ind = int(_type) + ind = ctypes.c_int() + ierr = self.ENlib.MSXgetindex(type_ind, ctypes.c_char_p(name.encode()), ctypes.byref(ind)) + if ierr != 0: + raise EpanetMsxException(ierr, repr(dict(_type=_type, name=name))) + return ind.value + + def MSXgetIDlen(self, _type, index): + """Retrieves the number of characters in the ID name of an MSX object given its internal index number. + + Parameters + ---------- + _type : int, str or ObjectType + The type of object to get an index for + index : int + The index of the object to get the ID length for + + Returns + ------- + int + the length of the object ID + """ + try: + _type = ObjectType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + type_ind = int(_type) + len = ctypes.c_int() + ierr = self.ENlib.MSXgetIDlen(type_ind, ctypes.c_int(index), ctypes.byref(len)) + if ierr != 0: + raise EpanetMsxException(ierr, repr(dict(_type=_type, index=index))) + return len.value + + def MSXgetID(self, _type, index): + """Retrieves the ID name of an object given its internal index number + + Parameters + ---------- + _type : int, str or ObjectType + The type of object to get an index for + index : int + The index of the object to get the ID for + + Returns + ------- + str + the object ID + """ + try: + _type = ObjectType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + type_ind = int(_type) + maxlen = 32 + id = ctypes.create_string_buffer(maxlen) + ierr = self.ENlib.MSXgetID(type_ind, ctypes.c_int(index), ctypes.byref(id), ctypes.c_int(maxlen - 1)) + if ierr != 0: + raise EpanetMsxException(ierr, repr(dict(_type=_type, index=index))) + # the .decode() added my MF 6/3/21 + return id.value.decode() + + def MSXgetinitqual(self, _type, node_link_index, species_index): + """Retrieves the initial concentration of a particular chemical species assigned to a specific node + or link of the pipe network + + Parameters + ---------- + _type : str, int or ObjectType + the type of object + node_link_index : int + the object index + species_index : int + the species index + + Returns + ------- + float + the initial quality value for that node or link + + Raises + ------ + MSXKeyError + the type passed in for ``_type`` is not valid + MSXValueError + the value for ``_type`` is not valid + EpanetMsxException + any other error from the C-API + """ + try: + _type = ObjectType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + if _type not in [ObjectType.NODE, ObjectType.LINK]: + raise MSXValueError(515, repr(_type)) + type_ind = int(_type) + iniqual = ctypes.c_double() + ierr = self.ENlib.MSXgetinitqual(ctypes.c_int(type_ind), ctypes.c_int(node_link_index), ctypes.c_int(species_index), ctypes.byref(iniqual)) + if ierr != 0: + raise EpanetMsxException(ierr, repr(dict(_type=_type, node_link_index=node_link_index, species_index=species_index))) + return iniqual.value + + def MSXgetqual(self, _type, node_link_index, species_index): + """Retrieves a chemical species concentration at a given node or the average concentration along a link at the current simulation time step + + Parameters + ---------- + _type : str, int or ObjectType + the type of object + node_link_index : int + the object index + species_index : int + the species index + + Returns + ------- + float + the current quality value for that node or link + + Raises + ------ + MSXKeyError + the type passed in for ``_type`` is not valid + MSXValueError + the value for ``_type`` is not valid + EpanetMsxException + any other error from the C-API + """ + try: + _type = ObjectType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + if _type not in [ObjectType.NODE, ObjectType.LINK]: + raise MSXValueError(515, repr(_type)) + type_ind = int(_type) + qual = ctypes.c_double() + ierr = self.ENlib.MSXgetqual(ctypes.c_int(type_ind), ctypes.c_int(node_link_index), ctypes.c_int(species_index), ctypes.byref(qual)) + if ierr != 0: + raise EpanetMsxException(ierr, repr(dict(_type=_type, node_link_index=node_link_index, species_index=species_index))) + return qual.value + + def MSXgetconstant(self, constant_index): + """Retrieves the value of a particular reaction constant + + Parameters + ---------- + constant_index : int + index to the constant + + Returns + ------- + float + the value of the constant + + Raises + ------ + EpanetMsxException + a toolkit error occurred + """ + const = ctypes.c_double() + ierr = self.ENlib.MSXgetconstant(constant_index, ctypes.byref(const)) + if ierr != 0: + raise EpanetMsxException(ierr, constant_index) + return const.value + + def MSXgetparameter(self, _type, node_link_index, param_index): + """Retrieves the value of a particular reaction parameter for a given TANK or PIPE. + + Parameters + ---------- + _type : _type_ + _description_ + node_link_index : _type_ + _description_ + param_index : _type_ + _description_ + + Returns + ------- + _type_ + _description_ + + Raises + ------ + MSXKeyError + _description_ + MSXValueError + _description_ + EpanetMsxException + _description_ + """ + try: + _type = ObjectType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + if _type not in [ObjectType.NODE, ObjectType.LINK]: + raise MSXValueError(515, repr(_type)) + type_ind = int(_type) + param = ctypes.c_double() + ierr = self.ENlib.MSXgetparameter(ctypes.c_int(type_ind), ctypes.c_int(node_link_index), ctypes.c_int(param_index), ctypes.byref(param)) + if ierr != 0: + raise EpanetMsxException(ierr, repr(dict(_type=_type, node_link_index=node_link_index, param_index=param_index))) + return param.value + + def MSXgetsource(self, node_index, species_index): + """Retrieves information on any external source of a particular chemical species assigned to a specific node of the pipe network + """ + #level is returned with the baseline concentration (or mass flow rate) of the source + #pat is returned with the index of the time pattern used to add variability to the source's baseline level (0 if no pattern defined for the source)""" + level = ctypes.c_double() + _type = ctypes.c_int() + pat = ctypes.c_int() + ierr = self.ENlib.MSXgetsource(ctypes.c_int(node_index), ctypes.c_int(species_index), ctypes.byref(_type), ctypes.byref(level), ctypes.byref(pat)) + if ierr != 0: + raise EpanetMsxException(ierr, repr(dict(node_index=node_index, species_index=species_index))) + src_out = [SourceType.get(_type.value), level.value, pat.value] + return src_out + + def MSXgetpatternlen(self, pat): + """Retrieves the number of time periods within a SOURCE time pattern. + + Parameters + ---------- + pat : _type_ + _description_ + + Returns + ------- + _type_ + _description_ + + Raises + ------ + EpanetMsxException + _description_ + """ + len = ctypes.c_int() + ierr = self.ENlib.MSXgetpatternlen(pat, ctypes.byref(len)) + if ierr != 0: + raise EpanetMsxException(ierr) + return len.value + + def MSXgetpatternvalue(self, pat, period): + """Retrieves the multiplier at a specific time period for a given SOURCE time pattern + + Parameters + ---------- + pat : _type_ + _description_ + period : int + 1-indexed period of the pattern to retrieve + + Returns + ------- + _type_ + _description_ + + Raises + ------ + EpanetMsxException + _description_ + """ + val = ctypes.c_double() + ierr = self.ENlib.MSXgetpatternvalue(pat, period, ctypes.byref(val)) + if ierr != 0: + raise EpanetMsxException(ierr) + return val.value + + def MSXgetcount(self, _type): + """Retrieves the number of objects of a specified type. + + Parameters + ---------- + _type : _type_ + _description_ + + Returns + ------- + _type_ + _description_ + + Raises + ------ + MSXKeyError + _description_ + EpanetMsxException + _description_ + """ + try: + _type = ObjectType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + type_ind = int(_type) + count = ctypes.c_int() + ierr = self.ENlib.MSXgetcount(type_ind, ctypes.byref(count)) + if ierr != 0: + raise EpanetMsxException(ierr) + return count.value + + def MSXgetspecies(self, species_index): + """Retrieves the attributes of a chemical species given its internal index number. + species is the sequence number of the species (starting from 1 as listed in the MSX input file + + Parameters + ---------- + species_index : _type_ + _description_ + + Returns + ------- + _type_ + _description_ + + Raises + ------ + EpanetMsxException + _description_ + """ + type_ind = ctypes.c_int() + units = ctypes.create_string_buffer(15) + aTol = ctypes.c_double() + rTol = ctypes.c_double() + ierr = self.ENlib.MSXgetspecies(species_index, ctypes.byref(type_ind), ctypes.byref(units), ctypes.byref(aTol), ctypes.byref(rTol)) + if ierr != 0: + raise EpanetMsxException(ierr) + spe_out = [type_ind.value, units.value, aTol.value, rTol.value] + return spe_out + + def MSXgeterror(self, errcode, len=100): + """returns the text for an error message given its error code + + Parameters + ---------- + errcode : _type_ + _description_ + len : int, optional + _description_, by default 100 and minimum 80 + + Returns + ------- + _type_ + _description_ + """ + errmsg = ctypes.create_string_buffer(len) + self.ENlib.MSXgeterror(errcode, ctypes.byref(errmsg), len) + return errmsg.value.decode() + + # --------------set parameters----------------------------------- + + def MSXsetconstant(self, ind, value): + """assigns a new value to a specific reaction constant + + Parameters + ---------- + ind : _type_ + _description_ + value : _type_ + _description_ + + Raises + ------ + EpanetMsxException + _description_ + """ + ierr = self.ENlib.MSXsetconstant(ctypes.c_int(ind), ctypes.c_double(value)) + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXsetparameter(self, _type, ind, param, value): + """assigns a value to a particular reaction parameter for a given TANK or PIPE + + Parameters + ---------- + _type : _type_ + _description_ + ind : _type_ + _description_ + param : _type_ + _description_ + value : _type_ + _description_ + + Raises + ------ + MSXKeyError + _description_ + MSXValueError + _description_ + EpanetMsxException + _description_ + """ + try: + _type = ObjectType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + if _type not in [ObjectType.NODE, ObjectType.LINK]: + raise MSXValueError(515, repr(_type)) + type_ind = int(_type) + ierr = self.ENlib.MSXsetparameter(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(param), ctypes.c_double(value)) + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXsetinitqual(self, _type, ind, spe, value): + """Retrieves the initial concentration of a particular chemical species assigned to a specific node + or link of the pipe network. + + Parameters + ---------- + _type : _type_ + _description_ + ind : _type_ + _description_ + spe : _type_ + _description_ + value : _type_ + _description_ + + Raises + ------ + MSXKeyError + _description_ + MSXValueError + _description_ + EpanetMsxException + _description_ + """ + try: + _type = ObjectType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + if _type not in [ObjectType.NODE, ObjectType.LINK]: + raise MSXValueError(515, repr(_type)) + type_ind = int(_type) + ierr = self.ENlib.MSXsetinitqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.c_double(value)) + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXsetsource(self, node, spe, _type, level, pat): + """sets the attributes of an external source of a particular chemical species in a specific node of the pipe network + + Parameters + ---------- + node : _type_ + _description_ + spe : _type_ + _description_ + _type : _type_ + _description_ + level : _type_ + _description_ + pat : _type_ + _description_ + + Raises + ------ + MSXKeyError + _description_ + EpanetMsxException + _description_ + """ + try: + _type = SourceType.get(_type) + except KeyError: + raise MSXKeyError(515, repr(_type)) + type_ind = int(_type) + ierr = self.ENlib.MSXsetsource(ctypes.c_int(node), ctypes.c_int(spe), ctypes.c_int(type_ind), ctypes.c_double(level), ctypes.c_int(pat)) + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXsetpattern(self, pat, mult): + """assigns a new set of multipliers to a given MSX SOURCE time pattern + + Parameters + ---------- + pat : _type_ + _description_ + mult : _type_ + _description_ + + Raises + ------ + EpanetMsxException + _description_ + """ + length = len(mult) + cfactors_type = ctypes.c_double * length + cfactors = cfactors_type() + for i in range(length): + cfactors[i] = float(mult[i]) + ierr = self.ENlib.MSXsetpattern(ctypes.c_int(pat), cfactors, ctypes.c_int(length)) + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXsetpatternvalue(self, pat, period, value): + """Sets the multiplier factor for a specific period within a SOURCE time pattern. + + Parameters + ---------- + pat : _type_ + _description_ + period : _type_ + _description_ + value : _type_ + _description_ + + Raises + ------ + EpanetMsxException + _description_ + """ + ierr = self.ENlib.MSXsetpatternvalue(ctypes.c_int(pat), ctypes.c_int(period), ctypes.c_double(value)) + if ierr != 0: + raise EpanetMsxException(ierr) + + def MSXaddpattern(self, patternid): + """Adds a new, empty MSX source time pattern to an MSX project. + + Parameters + ---------- + patternid : _type_ + _description_ + + Raises + ------ + EpanetMsxException + _description_ + """ + ierr = self.ENlib.MSXaddpattern(ctypes.c_char_p(patternid.encode())) + if ierr != 0: + raise EpanetMsxException(ierr) diff --git a/wntr/network/io.py b/wntr/network/io.py index 684388037..bde165583 100644 --- a/wntr/network/io.py +++ b/wntr/network/io.py @@ -70,7 +70,7 @@ def to_dict(wn) -> dict: version="wntr-{}".format(__version__), comment="WaterNetworkModel - all values given in SI units", name=wn.name, - citations=wntr.utils.citations.to_jsontypes(wn.citations), + citations=wntr.utils.citations.to_jsontypes(wn._citations), options=wn._options.to_dict(), curves=wn._curve_reg.to_list(), patterns=wn._pattern_reg.to_list(), @@ -124,7 +124,7 @@ def from_dict(d: dict, append=None): if "name" in d: wn.name = d["name"] if "citations" in d: - wn.citations = wntr.utils.citations.from_jsontypes(d["citations"]) + wn._citations = wntr.utils.citations.from_jsontypes(d["citations"]) if "options" in d: wn.options.__init__(**d["options"]) if "curves" in d: diff --git a/wntr/network/model.py b/wntr/network/model.py index 3c235e797..346a01f8d 100644 --- a/wntr/network/model.py +++ b/wntr/network/model.py @@ -73,7 +73,7 @@ def __init__(self, inp_file_name=None): # Network name self.name = None - self.citations: Union[str,Citation, List[Union[str,Citation]]] = list() + self._citations: Union[str,Citation, List[Union[str,Citation]]] = list() """A list of citations that document the source of this model. See also :class:`~wntr.utils.citations.Citation`.""" self._options = Options() diff --git a/wntr/reaction/__init__.py b/wntr/reaction/__init__.py index d8a87d3b8..7c166da59 100644 --- a/wntr/reaction/__init__.py +++ b/wntr/reaction/__init__.py @@ -5,4 +5,9 @@ # pyomo.dae # sympy -from . import base, dynamics, model, io, options, toolkitmsx, variables, library +from .base import VariableType, LocationType, DynamicsType, ReactionDynamics, ReactionVariable +from .options import MultispeciesOptions +from .variables import Species, OtherTerm, InternalVariable, BulkSpecies, WallSpecies, Parameter, Coefficient, Constant +from .dynamics import RateDynamics, FormulaDynamics, EquilibriumDynamics +from ..epanet.msx.exceptions import EpanetMsxException +from .model import MultispeciesReactionModel \ No newline at end of file diff --git a/wntr/reaction/base.py b/wntr/reaction/base.py index bd4e4c407..e795d8256 100644 --- a/wntr/reaction/base.py +++ b/wntr/reaction/base.py @@ -4,31 +4,38 @@ The base classes for the the wntr.reaction module. Other than the enum classes, the classes in this module are all abstract and/or mixin classes, and should not be instantiated directly. + +.. rubric:: Contents + +.. autosummary:: + + VariableType + LocationType + DynamicsType + ReactionVariable + ReactionDynamics + AbstractReactionModel + LinkedVariablesMixin + ExpressionMixin + MsxObjectMixin + MSXComment + """ import abc import enum import logging from abc import ABC, abstractmethod, abstractproperty -from collections.abc import MutableMapping from dataclasses import InitVar, dataclass, field from enum import Enum, IntFlag from typing import ( - Any, ClassVar, - Dict, Generator, - Hashable, - ItemsView, - Iterator, - KeysView, List, - Set, - Tuple, Union, - ValuesView, ) + has_sympy = False try: from sympy import Float, Symbol, init_printing, symbols @@ -44,8 +51,8 @@ has_sympy = False from wntr.network.model import WaterNetworkModel - -from .options import RxnOptions +from wntr.utils.enumtools import add_get +from wntr.reaction.options import MultispeciesOptions logger = logging.getLogger(__name__) @@ -75,19 +82,8 @@ """The sympy transforms to use in expression parsing""" -class KeyInOtherGroupError(KeyError): - """The key exists but is in a different disjoint group""" - - pass - - -class VariableNameExistsError(KeyError): - """The name already exists in the reaction model""" - - pass - - -class RxnVariableType(Enum): +@add_get(abbrev=True) +class VariableType(Enum): """The type of reaction variable. The following types are defined, and aliases of just the first character @@ -108,7 +104,7 @@ class RxnVariableType(Enum): .. autosummary:: - factory + get """ @@ -142,42 +138,9 @@ class RxnVariableType(Enum): PARAM = PARAMETER """Alias for :attr:`PARAMETER`""" - @classmethod - def factory(cls, value: Union[str, int, "RxnVariableType"]) -> "RxnVariableType": - """Convert a value to a valid RxnVariableType. - Parameters - ---------- - value : str or int or RxnVariableType - the value to change - - Returns - ------- - RxnVariableType - the equivalent variable type enum - - Raises - ------ - KeyError - the value is unknown/undefined - TypeError - the type of the value is wrong - """ - if value is None: - return - if isinstance(value, cls): - return value - if isinstance(value, int): - return cls(value) - if isinstance(value, str): - try: - return cls[value[0].upper()] - except KeyError: - raise KeyError(value) - raise TypeError("Invalid type '{}'".format(type(value))) - - -class RxnLocationType(Enum): +@add_get(abbrev=True) +class LocationType(Enum): """What type of network component does this reaction occur in The following types are defined, and aliases of just the first character @@ -195,7 +158,7 @@ class RxnLocationType(Enum): .. autosummary:: - factory + get """ @@ -208,42 +171,9 @@ class RxnLocationType(Enum): T = TANK """Alias for :attr:`TANK`""" - @classmethod - def factory(cls, value: Union[str, int, "RxnLocationType"]) -> "RxnLocationType": - """Convert a value to a valid RxnLocationType. - - Parameters - ---------- - value : str or int or RxnLocationType - the value to process - Returns - ------- - RxnLocationType - the equivalent enum object - - Raises - ------ - KeyError - the value is unknown/undefined - TypeError - the type of the value is wrong - """ - if value is None: - return - if isinstance(value, cls): - return value - if isinstance(value, int): - return cls(value) - if isinstance(value, str): - try: - return cls[value[0].upper()] - except KeyError: - raise KeyError(value) - raise TypeError("Invalid type '{}'".format(type(value))) - - -class RxnDynamicsType(Enum): +@add_get(abbrev=True) +class DynamicsType(Enum): """The type of reaction expression. The following types are defined, and aliases of just the first character @@ -261,7 +191,7 @@ class RxnDynamicsType(Enum): .. autosummary:: - factory + get """ @@ -278,224 +208,9 @@ class RxnDynamicsType(Enum): F = FORMULA """Alias for :attr:`FORMULA`""" - @classmethod - def factory(cls, value: Union[str, int, "RxnDynamicsType"]) -> "RxnDynamicsType": - """Convert a value to a RxnDynamicsType. - - Parameters - ---------- - value : str or int or RxnDynamicsType - the value to convert - - Returns - ------- - RxnDynamicsType - the enum value - - Raises - ------ - KeyError - the value is unknown/undefined - TypeError - the type of the value is wrong - """ - if value is None: - return - if isinstance(value, cls): - return value - if isinstance(value, int): - return cls(value) - if isinstance(value, str): - try: - return cls[value[0].upper()] - except KeyError: - raise KeyError(value) - raise TypeError("Invalid type '{}'".format(type(value))) - - -class DisjointMapping(MutableMapping): - - __data: Dict[Hashable, Hashable] = None - __key_groupnames: Dict[Hashable, str] = None - __groups: Dict[str, "DisjointMappingGroup"] = None - __usage: Dict[Hashable, Set[Any]] = None - - def __init__(self, *args, **kwargs): - self.__data: Dict[Hashable, Any] = dict(*args, **kwargs) - self.__key_groupnames: Dict[Hashable, str] = dict() - self.__groups: Dict[str, "DisjointMappingGroup"] = dict() - self.__usage: Dict[Hashable, Set[Any]] = dict() - for k, v in self.__data.items(): - self.__key_groupnames[k] = None - self.__usage[k] = set() - - def add_disjoint_group(self, name): - if name in self.__groups.keys(): - raise KeyError("Disjoint group already exists within registry") - new = DisjointMappingGroup(name, self) - self.__groups.__setitem__(name, new) - return new - - def get_disjoint_group(self, name: str): - return self.__groups[name] - - def get_groupname(self, __key: Hashable): - return self.__key_groupnames[__key] - - def add_item_to_group(self, groupname, key, value): - current = self.__key_groupnames.get(key, None) - if current is not None and groupname != current: - raise KeyInOtherGroupError("The key '{}' is already used in a different group '{}'".format(key, groupname)) - if groupname is not None: - group = self.__groups[groupname] - group._data.__setitem__(key, value) - self.__key_groupnames[key] = groupname - return self.__data.__setitem__(key, value) - - def move_item_to_group(self, new_group_name, key): - value = self.__data[key] - current = self.get_groupname(key) - if new_group_name is not None: - new_group = self.__groups[new_group_name] - new_group._data[key] = value - if current is not None: - old_group = self.__groups[current] - old_group._data.__delitem__(key) - self.__key_groupnames[key] = new_group_name - - def remove_item_from_group(self, groupname, key): - current = self.__key_groupnames.get(key, None) - if groupname != current: - raise KeyInOtherGroupError("The key '{}' is in a different group '{}'".format(key, groupname)) - if groupname is not None: - self.__groups[groupname]._data.__delitem__(key) - - def __getitem__(self, __key: Any) -> Any: - return self.__data.__getitem__(__key) - - def __setitem__(self, __key: Any, __value: Any) -> None: - current = self.__key_groupnames.get(__key, None) - if current is not None: - self.__groups[current]._data[__key] = __value - return self.__data.__setitem__(__key, __value) - - def __delitem__(self, __key: Any) -> None: - current = self.__key_groupnames.get(__key, None) - if current is not None: - self.__groups[current]._data.__delitem__(__key) - return self.__data.__delitem__(__key) - - def __contains__(self, __key: object) -> bool: - return self.__data.__contains__(__key) - - def __iter__(self) -> Iterator: - return self.__data.__iter__() - - def __len__(self) -> int: - return self.__data.__len__() - - def keys(self) -> KeysView: - return self.__data.keys() - - def items(self) -> ItemsView: - return self.__data.items() - - def values(self) -> ValuesView: - return self.__data.values() - - def clear(self) -> None: - raise RuntimeError("You cannot clear this") - - def popitem(self) -> tuple: - raise RuntimeError("You cannot pop this") - - -class DisjointMappingGroup(MutableMapping): - """A dictionary that checks a namespace for existing entries. - - To create a new instance, pass a set to act as a namespace. If the namespace does not - exist, a new namespace will be instantiated. If it does exist, then a new, disjoint - dictionary will be created that checks the namespace keys before it will allow a new - item to be added to the dictionary. An item can only belong to one of the disjoint dictionaries - associated with the namespace. - - Examples - -------- - Assume there is a namespace `nodes` that has two distinct subsets of objects, `tanks` - and `reservoirs`. A name for a tank cannot also be used for a reservoir, and a node - cannot be both a `tank` and a `reservoir`. A DisjointNamespaceDict allows two separate - dictionaries to be kept, one for each subtype, but the keys within the two dictionaries - will be ensured to not overlap. - - Parameters - ---------- - __keyspace : set - the name of the namespace for consistency checking - *args, **kwargs : Any - regular arguments and keyword arguments passed to the underlying dictionary - - """ - - __name: str = None - __keyspace: DisjointMapping = None - _data: dict = None - - def __new__(cls, name: str, __keyspace: DisjointMapping): - if name is None: - raise TypeError("A name must be specified") - if __keyspace is None: - raise TypeError("A registry must be specified") - newobj = super().__new__(cls) - return newobj - - def __init__(self, name: str, __keyspace: DisjointMapping): - if name is None: - raise TypeError("A name must be specified") - if __keyspace is None: - raise TypeError("A registry must be specified") - self.__name: str = name - self.__keyspace: DisjointMapping = __keyspace - self._data = dict() - - def __getitem__(self, __key: Any) -> Any: - return self._data[__key] - - def __setitem__(self, __key: Any, __value: Any) -> None: - return self.__keyspace.add_item_to_group(self.__name, __key, __value) - - def __delitem__(self, __key: Any) -> None: - return self.__keyspace.remove_item_from_group(self.__name, __key) - - def __contains__(self, __key: object) -> bool: - return self._data.__contains__(__key) - - def __iter__(self) -> Iterator: - return self._data.__iter__() - - def __len__(self) -> int: - return self._data.__len__() - - def keys(self) -> KeysView: - return self._data.keys() - - def items(self) -> ItemsView: - return self._data.items() - - def values(self) -> ValuesView: - return self._data.values() - - def clear(self) -> None: - raise RuntimeError("Cannot clear a group") - - def popitem(self) -> tuple: - raise RuntimeError("Cannot pop from a group") - - def __repr__(self) -> str: - return "{}(name={}, data={})".format(self.__class__.__name__, repr(self.__name), self._data) - @dataclass -class RxnVariable(ABC): +class ReactionVariable(ABC): """The base for a reaction variable. Parameters @@ -516,7 +231,7 @@ def __hash__(self) -> int: return hash(str(self)) @abstractproperty - def var_type(self) -> RxnVariableType: + def var_type(self) -> VariableType: """The variable type.""" raise NotImplementedError @@ -528,7 +243,7 @@ def is_species(self) -> bool: bool True if this is a species object, False otherwise """ - return self.var_type == RxnVariableType.BULK or self.var_type == RxnVariableType.WALL + return self.var_type == VariableType.BULK or self.var_type == VariableType.WALL def is_coeff(self) -> bool: """Check to see if this variable represents a coefficient (constant or parameter). @@ -538,9 +253,9 @@ def is_coeff(self) -> bool: bool True if this is a coefficient object, False otherwise """ - return self.var_type == RxnVariableType.CONST or self.var_type == RxnVariableType.PARAM + return self.var_type == VariableType.CONST or self.var_type == VariableType.PARAM - def is_term_function(self) -> bool: + def is_other_term(self) -> bool: """Check to see if this variable represents a function (MSX term). Returns @@ -548,7 +263,7 @@ def is_term_function(self) -> bool: bool True if this is a term/function object, False otherwise """ - return self.var_type == RxnVariableType.TERM + return self.var_type == VariableType.TERM @property def symbol(self): @@ -557,7 +272,7 @@ def symbol(self): @dataclass -class RxnReaction(ABC): +class ReactionDynamics(ABC): """The base for a reaction. Parameters @@ -572,7 +287,7 @@ class RxnReaction(ABC): species: str """The name of the species that this reaction describes""" - location: RxnLocationType + location: LocationType """The location this reaction occurs (pipes vs tanks)""" expression: str """The expression for the reaction dynamics (or, the right-hand-side of the equation)""" @@ -586,7 +301,7 @@ def __hash__(self) -> int: return hash(str(self)) @abstractproperty - def expr_type(self) -> RxnDynamicsType: + def expr_type(self) -> DynamicsType: """The type of reaction dynamics being described (or, the left-hand-side of the equation)""" raise NotImplementedError @@ -607,23 +322,23 @@ def to_key(cls, species, location): str a species/location unique name """ - location = RxnLocationType.factory(location) + location = LocationType.get(location) return str(species) + "." + location.name.lower() -class RxnModelRegistry(ABC): +class AbstractReactionModel(ABC): @abstractmethod def variables(self, var_type=None): """Generator over all defined variables, optionally limited by variable type""" raise NotImplementedError @abstractmethod - def add_variable(self, __variable: RxnVariable): + def add_variable(self, __variable: ReactionVariable): """Add a variable *object* to the model""" raise NotImplementedError @abstractmethod - def get_variable(self, name: str) -> RxnVariable: + def get_variable(self, name: str) -> ReactionVariable: """Get a specific variable by name""" raise NotImplementedError @@ -638,12 +353,12 @@ def reactions(self, location=None): raise NotImplementedError @abstractmethod - def add_reaction(self, __reaction: RxnReaction): + def add_reaction(self, __reaction: ReactionDynamics): """Add a reaction *object* to the model""" raise NotImplementedError @abstractmethod - def get_reaction(self, species, location=None) -> List[RxnReaction]: + def get_reaction(self, species, location=None) -> List[ReactionDynamics]: """Get reaction(s) for a species, optionally only for one location""" raise NotImplementedError @@ -658,12 +373,12 @@ class LinkedVariablesMixin: __variable_registry = None @property - def _variable_registry(self) -> RxnModelRegistry: + def _variable_registry(self) -> AbstractReactionModel: return self.__variable_registry @_variable_registry.setter def _variable_registry(self, value): - if value is not None and not isinstance(value, RxnModelRegistry): + if value is not None and not isinstance(value, AbstractReactionModel): raise TypeError("Linked model must be a RxnModelRegistry, got {}".format(type(value))) self.__variable_registry = value @@ -675,7 +390,7 @@ def validate(self): TypeError if the model registry isn't linked """ - if not isinstance(self._variable_registry, RxnModelRegistry): + if not isinstance(self._variable_registry, AbstractReactionModel): raise TypeError("This object is not connected to any RxnModelRegistry") @@ -700,7 +415,7 @@ def to_symbolic(self, transformations=EXPR_TRANSFORMS): return parse_expr(self.expression, transformations=transformations) -class MSXObject: +class MsxObjectMixin: def to_msx_string(self) -> str: """Get the expression as an EPANET-MSX input-file style string. @@ -711,6 +426,7 @@ def to_msx_string(self) -> str: """ raise NotImplementedError + @dataclass class MSXComment: pre: List[str] = field(default_factory=list) @@ -727,3 +443,4 @@ def wrap_msx_string(self, string) -> str: else: return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string + ' ; ' + self.post + diff --git a/wntr/reaction/dynamics.py b/wntr/reaction/dynamics.py index b7e50f3ac..3f64d50fc 100644 --- a/wntr/reaction/dynamics.py +++ b/wntr/reaction/dynamics.py @@ -20,7 +20,6 @@ \frac{d}{dt}C(species) = f(vars,...) - The classes in this module can be created directly. However, they are more powerful when either, a) created using API calls on a :class:`~wntr.reaction.model.WaterNetworkModel`, or, b) linked to a :class:`~wntr.reaction.model.WaterNetworkModel` model object after creation. @@ -30,12 +29,22 @@ that will convert object instances of these classes into sympy expressions and symbols. If the instances are linked to a model, then expressions can be expanded, validated, and even evaluated or simplified symbolically. + +.. rubric:: Contents + +.. autosummary:: + + RateDynamics + EquilibriumDynamics + FormulaDynamics + """ import enum import logging from dataclasses import InitVar, asdict, dataclass, field from enum import Enum, IntFlag from typing import Any, ClassVar, Dict, List, Set, Tuple, Union +from .base import MSXComment has_sympy = False try: @@ -52,17 +61,16 @@ has_sympy = False from wntr.network.model import WaterNetworkModel -from wntr.reaction.base import EXPR_TRANSFORMS, MSXObject, RxnVariableType +from wntr.reaction.base import EXPR_TRANSFORMS, MsxObjectMixin, VariableType from .base import ( ExpressionMixin, LinkedVariablesMixin, - MSXComment, - RxnDynamicsType, - RxnLocationType, - RxnModelRegistry, - RxnReaction, - RxnVariableType, + DynamicsType, + LocationType, + AbstractReactionModel, + ReactionDynamics, + VariableType, ) from .variables import Coefficient, Species, OtherTerm @@ -70,7 +78,7 @@ @dataclass(repr=False) -class RateDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReaction): +class RateDynamics(MsxObjectMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): r"""Used to supply the equation that expresses the rate of change of the given species with respect to time as a function of the other species in the model. @@ -94,15 +102,15 @@ class RateDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReaction """ note: Union[str, Dict[str, str]] = None """A note or comment about this species reaction dynamics""" - variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) + variable_registry: InitVar[AbstractReactionModel] = field(default=None, compare=False) """A link to the reaction model with variables""" def __post_init__(self, variable_registry): self._variable_registry = variable_registry @property - def expr_type(self) -> RxnDynamicsType: - return RxnDynamicsType.RATE + def expr_type(self) -> DynamicsType: + return DynamicsType.RATE def to_symbolic(self, transformations=...): return super().to_symbolic(transformations) @@ -123,7 +131,7 @@ def to_dict(self) -> dict: @dataclass(repr=False) -class EquilibriumDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReaction): +class EquilibriumDynamics(MsxObjectMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): """Used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero. .. math:: @@ -147,15 +155,15 @@ class EquilibriumDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnR note: Union[str, Dict[str, str]] = None """A note or comment about this species reaction dynamics""" - variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) + variable_registry: InitVar[AbstractReactionModel] = field(default=None, compare=False) """A link to the reaction model with variables""" def __post_init__(self, variable_registry): self._variable_registry = variable_registry @property - def expr_type(self) -> RxnDynamicsType: - return RxnDynamicsType.EQUIL + def expr_type(self) -> DynamicsType: + return DynamicsType.EQUIL def to_symbolic(self, transformations=...): return super().to_symbolic(transformations) @@ -175,7 +183,7 @@ def to_dict(self) -> dict: @dataclass(repr=False) -class FormulaDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReaction): +class FormulaDynamics(MsxObjectMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): """Used when the concentration of the named species is a simple function of the remaining species. .. math:: @@ -199,15 +207,15 @@ class FormulaDynamics(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnReact note: Union[str, Dict[str, str]] = None """A note or comment about this species reaction dynamics""" - variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) + variable_registry: InitVar[AbstractReactionModel] = field(default=None, compare=False) """A link to the reaction model with variables""" def __post_init__(self, variable_registry): self._variable_registry = variable_registry @property - def expr_type(self) -> RxnDynamicsType: - return RxnDynamicsType.FORMULA + def expr_type(self) -> DynamicsType: + return DynamicsType.FORMULA def to_symbolic(self, transformations=...): return super().to_symbolic(transformations) diff --git a/wntr/reaction/exceptions.py b/wntr/reaction/exceptions.py deleted file mode 100644 index bffb41070..000000000 --- a/wntr/reaction/exceptions.py +++ /dev/null @@ -1,189 +0,0 @@ -# coding: utf-8 -"""EPANET-MSX error and exception classes.""" - -from enum import IntEnum -from typing import List -from ..epanet.exceptions import EpanetException, EN_ERROR_CODES, EpanetErrorEnum - - -MSX_ERROR_CODES = EN_ERROR_CODES.copy() -MSX_ERROR_CODES.update({ - # MSX syntax errors - 401: "too many characters", - 402: "too few input items", - 403: "invalid keyword: '%s'", - 404: "invalid numeric value: '%s'", - 405: "reference to undefined object: '%s'", - 406: "illegal use of reserved name: '%s'", - 407: "name already used by another object: '%s'", - 408: "species already assigned an expression: '%s'", - 409: "illegal math expression", - 410: "option no longer supported", - 411: "term '%s' contains a cyclic reference", - # MSX runtime errors - 501: "insufficient memory available", - 502: "no EPANET data file supplied", - 503: "could not open MSX input file", - 504: "could not open hydraulic results file", - 505: "could not read hydraulic results file", - 506: "could not read MSX input file", - 507: "too few pipe reaction expressions", - 508: "too few tank reaction expressions", - 509: "could not open differential equation solver", - 510: "could not open algebraic equation solver", - 511: "could not open binary results file", - 512: "read/write error on binary results file", - 513: "could not integrate reaction rate expressions", - 514: "could not solve reaction equilibrium expressions", - 515: "reference made to an unknown type of object", - 516: "reference made to an illegal object index", - 517: "reference made to an undefined object ID", - 518: "invalid property values were specified", - 519: "an MSX project was not opened", - 520: "an MSX project is already opened", - 522: "could not compile chemistry functions", - 523: "could not load functions from compiled chemistry file", - 524: "illegal math operation", -}) - -class MSXErrors(IntEnum): - too_many_chars_msx = 401 - too_few_items = 402 - invalid_keyword = 403 - invalid_numeric_value_msx = 404 - undefined_msx_object = 405 - illegal_reserved_name = 406 - name_in_use = 407 - species_already_assigned = 408 - illegal_math_expression = 409 - option_deprecated = 410 - cyclic_reference = 411 - insufficient_memory_msx = 501 - no_epanet_datafile = 502 - open_msx_fail = 503 - open_hyd_fail_msx = 504 - read_hyd_fail_msx = 505 - read_msx_fail = 506 - not_enough_pipe_reactions = 507 - not_enough_tank_reactions = 508 - open_de_solver_fail = 509 - open_ae_solver_fail = 510 - open_bin_fail_msx = 511 - io_error_msx_bin = 512 - solve_rate_failed = 513 - solve_equil_failed = 514 - unknown_object_type = 515 - illegal_object_index = 516 - undefined_object_id = 517 - invalid_property_value = 518 - msx_project_not_open = 519 - msx_project_open = 520 - compile_chem_failed = 522 - load_compiled_chem_failed = 523 - illegal_math_operation = 524 - insufficient_memory = 101 - no_network = 102 - no_init_hyd = 103 - no_hydraulics = 104 - no_init_qual = 105 - no_results = 106 - hyd_file = 107 - hyd_init_and_hyd_file = 108 - modify_time_during_solve = 109 - solve_hyd_fail = 110 - solve_qual_fail = 120 - input_file_error = 200 - syntax_error = 201 - illegal_numeric_value = 202 - undefined_node = 203 - undefined_link = 204 - undefined_pattern = 205 - undefined_curve = 206 - control_on_cv_gpv = 207 - illegal_pda_limits = 208 - illegal_node_property = 209 - illegal_link_property = 211 - undefined_trace_node = 212 - invalid_option_value = 213 - too_many_chars_inp = 214 - duplicate_id = 215 - undefined_pump = 216 - invalid_energy_value = 217 - illegal_valve_tank = 219 - illegal_tank_valve = 219 - illegal_valve_valve = 220 - misplaced_rule = 221 - link_to_self = 222 - not_enough_nodes = 223 - no_tanks_or_res = 224 - invalid_tank_levels = 225 - missing_pump_data = 226 - invalid_head_curve = 227 - nonincreasing_x_curve = 230 - unconnected_node = 233 - unconnected_node_id = 234 - no_such_source_node = 240 - no_such_control = 241 - invalid_name_format = 250 - invalid_parameter_code = 251 - invalid_id_name = 252 - no_such_demand_category = 253 - missing_coords = 254 - invalid_vertex = 255 - no_such_rule = 257 - no_such_rule_clause = 258 - delete_node_still_linked = 259 - delete_node_is_trace = 260 - delete_node_in_control = 261 - modify_network_during_solve = 262 - node_not_a_tank = 263 - same_file_names = 301 - open_inp_fail = 302 - open_rpt_fail = 303 - open_bin_fail = 304 - open_hyd_fail = 305 - hyd_file_different_network = 306 - read_hyd_fail = 307 - save_bin_fail = 308 - save_rpt_fail = 309 - -class EpanetMsxException(EpanetException): - def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> None: - if isinstance(code, (EpanetErrorEnum, MSXErrors)): - code = int(code) - elif isinstance(code, str): - try: - code = code.strip().replace('-','_').replace(' ','_') - code = int(MSXErrors[code]) - except KeyError: - return super(Exception, self).__init__('unknown error code: {}'.format(repr(code)), *args) - elif not isinstance(code, int): - return super(Exception, self).__init__('unknown error code: {}'.format(repr(code)), *args) - msg = MSX_ERROR_CODES.get(code, 'unknown error') - if args is not None: - args = [*args] - if r'%' in msg and len(args) > 0: - msg = msg % args.pop(0) - if len(args) > 0: - msg = msg + ' ' + str(args) - if line_num: - msg = msg + ", at line {}".format(line_num) - if line: - msg = msg + ':\n ' + str(line) - msg = '(Error {}) '.format(code) + msg - super(Exception, self).__init__(msg) - -class MSXSyntaxError(EpanetMsxException, SyntaxError): - def __init__(self, code, *args) -> None: - - super().__init__(code, *args) - -class MSXNameError(EpanetMsxException, NameError): - def __init__(self, code, name, *args) -> None: - - super().__init__(code, name, *args) - -class MSXValueError(EpanetMsxException, ValueError): - def __init__(self, code, name, *args) -> None: - - super().__init__(code, name, *args) diff --git a/wntr/reaction/io.py b/wntr/reaction/io.py index 64ad7b217..9949293de 100644 --- a/wntr/reaction/io.py +++ b/wntr/reaction/io.py @@ -1,754 +1,45 @@ # coding: utf-8 - -import datetime -from io import FileIO, TextIOWrapper -import logging -import sys - -from wntr.network.elements import Source -from wntr.reaction.base import MSXComment, RxnLocationType, RxnVariableType -from wntr.reaction.model import WaterQualityReactionsModel -from .exceptions import EpanetMsxException -from wntr.reaction.variables import Parameter, Species -from wntr.utils.citations import Citation - -sys_default_enc = sys.getdefaultencoding() - -logger = logging.getLogger(__name__) - -_INP_SECTIONS = [ - "[TITLE]", - "[OPTIONS]", - "[SPECIES]", - "[COEFFICIENTS]", - "[TERMS]", - "[PIPES]", - "[TANKS]", - "[SOURCES]", - "[QUALITY]", - "[PARAMETERS]", - "[DIFFUSIVITY]", - "[PATTERNS]", - "[REPORT]", -] - - -def _split_line(line): - _vc = line.split(";", 1) - _cmnt = None - _vals = None - if len(_vc) == 0: - pass - elif len(_vc) == 1: - _vals = _vc[0].split() - elif _vc[0] == "": - _cmnt = _vc[1].strip() - else: - _vals = _vc[0].split() - _cmnt = _vc[1].strip() - return _vals, _cmnt - - -class MsxFile(object): - def __init__(self): - self.sections = dict() - for sec in _INP_SECTIONS: - self.sections[sec] = [] - self.top_comments = [] - self.patterns = dict() - - def read(self, msx_file, rxn_model=None): - """ - Read an EPANET-MSX input file (.msx) and load data into a water quality - reactions model. Only MSX 2.0 files are recognized. - - Parameters - ---------- - msx_file : str - the filename of the .msx file to read in - rxn_model : WaterQualityReactionsModel, optional - the model to put data into, by default None (new model) - - Returns - ------- - WaterQualityReactionsModel - the model with the new species, reactions and other options added - """ - if rxn_model is None: - rxn_model = WaterQualityReactionsModel() - self.rxn = rxn_model - # if not isinstance(msx_file, list): - # msx_file = [msx_file] - rxn_model.filename = msx_file - - self.patterns = dict() - self.top_comments = [] - self.sections = dict() - for sec in _INP_SECTIONS: - self.sections[sec] = [] - - def _read(): - section = None - lnum = 0 - edata = {"fname": msx_file} - with open(msx_file, "r", encoding=sys_default_enc) as f: - for line in f: - lnum += 1 - edata["lnum"] = lnum - line = line.strip() - nwords = len(line.split()) - if len(line) == 0 or nwords == 0: - # Blank line - continue - elif line.startswith("["): - vals = line.split(None, 1) - sec = vals[0].upper() - # Add handlers to deal with extra 'S'es (or missing 'S'es) in INP file - if sec not in _INP_SECTIONS: - trsec = sec.replace("]", "S]") - if trsec in _INP_SECTIONS: - sec = trsec - if sec not in _INP_SECTIONS: - trsec = sec.replace("S]", "]") - if trsec in _INP_SECTIONS: - sec = trsec - edata["sec"] = sec - if sec in _INP_SECTIONS: - section = sec - # logger.info('%(fname)s:%(lnum)-6d %(sec)13s section found' % edata) - continue - elif sec == "[END]": - # logger.info('%(fname)s:%(lnum)-6d %(sec)13s end of file found' % edata) - section = None - break - else: - logger.warning('%(fname)s:%(lnum)d: Invalid section "%(sec)s"' % edata) - raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) - elif section is None and line.startswith(";"): - self.top_comments.append(line[1:]) - continue - elif section is None: - logger.debug("Found confusing line: %s", repr(line)) - raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) - # We have text, and we are in a section - self.sections[section].append((lnum, line)) - try: - _read() - self._read_title() - self._read_options() - self._read_species() - self._read_coefficients() - self._read_terms() - self._read_pipes() - self._read_tanks() - self._read_sources() - self._read_quality() - self._read_parameters() - self._read_diffusivity() - self._read_patterns() - self._read_report() - return self.rxn - except Exception as e: - raise EpanetMsxException(200) from e - - def _read_title(self): - lines = [] - title = None - comments = "" - for lnum, line in self.sections["[TITLE]"]: - vals, comment = _split_line(line) - if title is None and vals is not None: - title = " ".join(vals) - if comment: - lines.append(comment.strip()) - if self.top_comments: - comments = "\n".join(self.top_comments) - if len(lines) > 0: - comments = comments + ("\n" if comments else "") + "\n".join(lines) - self.rxn.title = title - self.rxn.desc = comments - - def _read_options(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[OPTIONS]"]: - vals, comment = _split_line(line) - try: - if len(vals) < 2: - raise EpanetMsxException(402, note="at line {} of [OPTIONS] section:\n{}".format(lnum, line)) - name, val = vals[0].upper(), vals[1].upper() - if name == "AREA_UNITS": - self.rxn._options.quality.area_units = val - elif name == "RATE_UNITS": - self.rxn._options.quality.rate_units = val - elif name == "SOLVER": - self.rxn._options.quality.solver = val - elif name == "COUPLING": - self.rxn._options.quality.coupling = val - elif name == "TIMESTEP": - self.rxn._options.quality.timestep = int(val) - elif name == "ATOL": - self.rxn._options.quality.atol = float(val) - elif name == "RTOL": - self.rxn._options.quality.rtol = float(val) - elif name == "COMPILER": - self.rxn._options.quality.compiler = val - elif name == "SEGMENTS": - self.rxn._options.quality.segments = int(val) - elif name == "PECLET": - self.rxn._options.quality.peclet = int(val) - else: - raise EpanetMsxException(403, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) - except ValueError: - raise EpanetMsxException(404, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) from e - - def _read_species(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[SPECIES]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - if len(vals) < 3: - raise EpanetMsxException(402, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) - if len(vals) == 3: - species = self.rxn.add_species(vals[0], vals[1], vals[2], note=note) - elif len(vals) == 5: - species = self.rxn.add_species(vals[0], vals[1], vals[2], float(vals[3]), float(vals[4]), note=note) - else: - raise EpanetMsxException(201, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def _read_coefficients(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[COEFFICIENTS]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - if len(vals) < 3: - raise EpanetMsxException(402, note='at line {} of [COEFFICIENTS] section:\n{}'.format(lnum, line)) - coeff = self.rxn.add_coefficient(vals[0], vals[1], float(vals[2]), note=note) - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [COEFFICIENTS] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def _read_terms(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[TERMS]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - if len(vals) < 2: - raise SyntaxError("Invalid [TERMS] entry") - term = self.rxn.add_other_term(vals[0], " ".join(vals[1:]), note=note) - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [TERMS] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def _read_pipes(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[PIPES]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - if len(vals) < 3: - raise SyntaxError("Invalid [PIPES] entry") - reaction = self.rxn.add_pipe_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [PIPES] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def _read_tanks(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[TANKS]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - if len(vals) < 3: - raise SyntaxError("Invalid [TANKS] entry") - reaction = self.rxn.add_tank_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [TANKS] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def _read_sources(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[SOURCES]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - if len(vals) == 4: - typ, node, spec, strength = vals - pat = None - else: - typ, node, spec, strength, pat = vals - if not self.rxn.has_variable(spec): - raise ValueError("Undefined species in [SOURCES] section: {}".format(spec)) - if spec not in self.rxn._sources.keys(): - self.rxn._sources[spec] = dict() - source = dict(source_type=typ, strength=strength, pattern=pat, note=note) - self.rxn._sources[spec][node] = source - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [SOURCES] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def _read_quality(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[QUALITY]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - if len(vals) == 4: - cmd, netid, spec, concen = vals - else: - cmd, spec, concen = vals - if cmd[0].lower() not in ["g", "n", "l"]: - raise SyntaxError("Unknown first word in [QUALITY] section") - if not self.rxn.has_variable(spec): - raise ValueError("Undefined species in [QUALITY] section: {}".format(spec)) - if spec not in self.rxn._inital_quality.keys(): - self.rxn._inital_quality[spec] = dict(global_value=None, nodes=dict(), links=dict()) - if cmd[0].lower() == "g": - self.rxn._inital_quality[spec]["global_value"] = float(concen) - elif cmd[0].lower() == "n": - self.rxn._inital_quality[spec]["nodes"][netid] = float(concen) - elif cmd[1].lower() == "l": - self.rxn._inital_quality[spec]["links"][netid] = float(concen) - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [QUALITY] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def _read_parameters(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[PARAMETERS]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - typ, netid, paramid, value = vals - coeff = self.rxn.get_variable(paramid) - if not isinstance(coeff, Parameter): - raise ValueError("Invalid parameter {}".format(paramid)) - value = float(value) - if typ.lower()[0] == "p": - coeff.pipe_values[netid] = value - elif typ.lower()[0] == "t": - coeff.tank_values[netid] = value - else: - raise ValueError("Invalid parameter type {}".format(typ)) - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [PARAMETERS] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def _read_diffusivity(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[DIFFUSIVITY]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - if len(vals) != 2: - raise SyntaxError("Invalid [DIFFUSIVITIES] entry") - species = self.rxn.get_variable(vals[0]) - if not isinstance(species, Species): - raise RuntimeError("Invalid species {} in diffusivity".format(vals[0])) - species.diffusivity = float(vals[1]) - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [DIFFUSIVITIES] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def _read_patterns(self): - _patterns = dict() - for lnum, line in self.sections["[PATTERNS]"]: - # read the lines for each pattern -- patterns can be multiple lines of arbitrary length - line = line.split(";")[0] - current = line.split() - if current == []: - continue - pattern_name = current[0] - if pattern_name not in _patterns: - _patterns[pattern_name] = [] - for i in current[1:]: - _patterns[pattern_name].append(float(i)) - else: - for i in current[1:]: - _patterns[pattern_name].append(float(i)) - for pattern_name, pattern in _patterns.items(): - # add the patterns to the water newtork model - self.rxn.add_pattern(pattern_name, pattern) - - def _read_report(self): - lines = [] - note = MSXComment() - for lnum, line in self.sections["[REPORT]"]: - vals, comment = _split_line(line) - if vals is None: - if comment is not None: - note.pre.append(comment) - continue - try: - if comment is not None: - note.post = comment - if len(vals) == 0: - continue - if len(vals) < 2: - raise SyntaxError("Invalid number of arguments in [REPORT] section") - cmd = vals[0][0].lower() - if cmd == "n": # NODES - if self.rxn._options.report.nodes is None: - if vals[1].upper() == "ALL": - self.rxn._options.report.nodes = "ALL" - else: - self.rxn._options.report.nodes = list() - self.rxn._options.report.nodes.extend(vals[1:]) - elif isinstance(self.rxn._options.report.nodes, list): - if vals[1].upper() == "ALL": - self.rxn._options.report.nodes = "ALL" - else: - self.rxn._options.report.nodes.extend(vals[1:]) - elif cmd == "l": # LINKS - if self.rxn._options.report.links is None: - if vals[1].upper() == "ALL": - self.rxn._options.report.links = "ALL" - else: - self.rxn._options.report.links = list() - self.rxn._options.report.links.extend(vals[1:]) - elif isinstance(self.rxn._options.report.links, list): - if vals[1].upper() == "ALL": - self.rxn._options.report.links = "ALL" - else: - self.rxn._options.report.links.extend(vals[1:]) - elif cmd == "f": - self.rxn._options.report.report_filename = vals[1] - elif cmd == "p": - self.rxn._options.report.pagesize = vals[1] - elif cmd == "s": - if not self.rxn.has_variable(vals[1]): - raise ValueError("Undefined species in [REPORT] section: {}".format(vals[1])) - self.rxn._options.report.species[vals[1]] = True if vals[2].lower().startswith("y") else False - if len(vals) == 4: - self.rxn._options.report.species_precision[vals[1]] = int(vals[3]) - else: - raise SyntaxError("Invalid syntax in [REPORT] section: unknown first word") - except EpanetMsxException: - raise - except Exception as e: - raise EpanetMsxException(201, note='at line {} of [REPORT] section:\n{}'.format(lnum, line)) from e - else: - note = MSXComment() - - def write(self, filename: str, rxn: WaterQualityReactionsModel): - self.rxn = rxn - with open(filename, "w") as fout: - - fout.write("; WNTR-reactions MSX file generated {}\n".format(datetime.datetime.now())) - fout.write("\n") - self._write_title(fout) - self._write_options(fout) - self._write_species(fout) - self._write_coefficients(fout) - self._write_terms(fout) - self._write_pipes(fout) - self._write_tanks(fout) - self._write_sources(fout) - self._write_quality(fout) - self._write_diffusivity(fout) - self._write_parameters(fout) - self._write_patterns(fout) - self._write_report(fout) - fout.write("; END of MSX file generated by WNTR\n") - - def _write_title(self, fout): - fout.write("[TITLE]\n") - fout.write(" {}\n".format(self.rxn.title)) - fout.write("\n") - # if self.rxn.desc is not None: - # desc = self.rxn.desc.splitlines() - # desc = " ".join(desc) - # fout.write("; @desc={}\n".format(desc)) - # fout.write("\n") - # if self.rxn.citations is not None: - # if isinstance(self.rxn.citations, list): - # for citation in self.rxn.citations: - # fout.write("; @cite={}\n".format(citation.to_dict() if isinstance(citation, Citation) else str(citation))) - # fout.write("\n") - # else: - # citation = self.rxn.citations - # fout.write("; @cite={}\n".format(citation.to_dict() if isinstance(citation, Citation) else str(citation))) - # fout.write("\n") - - def _write_options(self, fout): - opts = self.rxn._options - fout.write("[OPTIONS]\n") - fout.write(" AREA_UNITS {}\n".format(opts.quality.area_units.upper())) - fout.write(" RATE_UNITS {}\n".format(opts.quality.rate_units.upper())) - fout.write(" SOLVER {}\n".format(opts.quality.solver.upper())) - fout.write(" COUPLING {}\n".format(opts.quality.coupling.upper())) - fout.write(" TIMESTEP {}\n".format(opts.quality.timestep)) - fout.write(" ATOL {}\n".format(opts.quality.atol)) - fout.write(" RTOL {}\n".format(opts.quality.rtol)) - fout.write(" COMPILER {}\n".format(opts.quality.compiler.upper())) - fout.write(" SEGMENTS {}\n".format(opts.quality.segments)) - fout.write(" PECLET {}\n".format(opts.quality.peclet)) - fout.write("\n") - - def _write_species(self, fout): - fout.write("[SPECIES]\n") - for var in self.rxn.variables(var_type=RxnVariableType.BULK): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) - elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) - else: - fout.write(" {}\n".format(var.to_msx_string())) - for var in self.rxn.variables(var_type=RxnVariableType.WALL): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) - elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) - else: - fout.write(" {}\n".format(var.to_msx_string())) - fout.write("\n") - - def _write_coefficients(self, fout): - fout.write("[COEFFICIENTS]\n") - for var in self.rxn.variables(var_type=RxnVariableType.CONST): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) - elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) - else: - fout.write(" {}\n".format(var.to_msx_string())) - for var in self.rxn.variables(var_type=RxnVariableType.PARAM): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) - elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) - else: - fout.write(" {}\n".format(var.to_msx_string())) - fout.write("\n") - - def _write_terms(self, fout): - fout.write("[TERMS]\n") - for var in self.rxn.variables(var_type=RxnVariableType.TERM): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) - elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) - else: - fout.write(" {}\n".format(var.to_msx_string())) - fout.write("\n") - - def _write_pipes(self, fout): - fout.write("[PIPES]\n") - for var in self.rxn.reactions(location=RxnLocationType.PIPE): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) - elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) - else: - fout.write(" {}\n".format(var.to_msx_string())) - fout.write("\n") - - def _write_tanks(self, fout): - fout.write("[TANKS]\n") - for var in self.rxn.reactions(location=RxnLocationType.TANK): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) - elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) - else: - fout.write(" {}\n".format(var.to_msx_string())) - fout.write("\n") - - def _write_sources(self, fout): - fout.write("[SOURCES]\n") - for species in self.rxn._sources.keys(): - for node, src in self.rxn._sources[species].items(): - if isinstance(src["note"], MSXComment): - fout.write( - src["note"].wrap_msx_string( - "{:<10s} {:<8s} {:<8s} {:12s} {:<12s}".format(src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "") - ) - ) - elif isinstance(src["note"], str): - fout.write( - " {:<10s} {:<8s} {:<8s} {} {:<12s} ; {}\n".format( - src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "", src["note"] - ) - ) - else: - fout.write( - " {:<10s} {:<8s} {:<8s} {} {:<12s}\n".format(src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "") - ) - if src["note"] is not None: - fout.write("\n") - fout.write("\n") - - def _write_quality(self, fout): - fout.write("[QUALITY]\n") - for species in self.rxn._inital_quality.keys(): - for typ, val in self.rxn._inital_quality[species].items(): - if typ == "global_value": - fout.write(" {:<8s} {:<8s} {}\n".format("GLOBAL", species, val)) - elif typ in ["nodes", "links"]: - for node, conc in val.items(): - fout.write(" {:<8s} {:<8s} {:<8s} {}\n".format(typ.upper()[0:4], node, species, conc)) - fout.write("\n") - - def _write_parameters(self, fout): - fout.write("[PARAMETERS]\n") - for var in self.rxn.variables(var_type=RxnVariableType.PARAM): - had_entries = False - if not isinstance(var, Parameter): - pass - paramID = var.name - for pipeID, value in var.pipe_values.items(): - fout.write(" PIPE {:<8s} {:<8s} {}\n".format(pipeID, paramID, value)) - had_entries = True - for tankID, value in var.tank_values.items(): - fout.write(" PIPE {:<8s} {:<8s} {}\n".format(tankID, paramID, value)) - had_entries = True - if had_entries: - fout.write("\n") - fout.write("\n") - - def _write_patterns(self, fout): - fout.write("[PATTERNS]\n") - for pattern_name, pattern in self.rxn._patterns.items(): - num_columns = 10 - count = 0 - for i in pattern: # .multipliers: - if count % num_columns == 0: - fout.write("\n {:<8s} {:g}".format(pattern_name, i)) - else: - fout.write(" {:g}".format(i)) - count += 1 - fout.write("\n") - fout.write("\n") - - def _write_diffusivity(self, fout): - fout.write("[DIFFUSIVITY]\n") - for name in self.rxn.species_name_list: - spec: Species = self.rxn.get_variable(name) - if spec.diffusivity is not None: - fout.write(" {:<8s} {}\n".format(name, spec.diffusivity)) - fout.write("\n") - - def _write_report(self, fout): - fout.write("[REPORT]\n") - if self.rxn._options.report.nodes is not None: - if isinstance(self.rxn._options.report.nodes, str): - fout.write(" NODES {}\n".format(self.rxn.options.report.nodes)) - else: - fout.write(" NODES {}\n".format(" ".join(self.rxn.options.report.nodes))) - if self.rxn._options.report.links is not None: - if isinstance(self.rxn._options.report.links, str): - fout.write(" LINKS {}\n".format(self.rxn.options.report.links)) - else: - fout.write(" LINKS {}\n".format(" ".join(self.rxn.options.report.links))) - for spec, val in self.rxn._options.report.species.items(): - fout.write( - " SPECIES {:<8s} {:<3s} {}\n".format( - spec, - "YES" if val else "NO", - self.rxn._options.report.species_precision[spec] if spec in self.rxn._options.report.species_precision.keys() else "", - ) - ) - if self.rxn._options.report.report_filename: - fout.write(" FILE {}\n".format(self.rxn._options.report.report_filename)) - if self.rxn._options.report.pagesize: - fout.write(" PAGESIZE {}\n".format(self.rxn._options.report.pagesize)) - fout.write("\n") - - -class MsxBinFile(object): - def __init__(self): - pass - - def read(self, filename): - pass +"""Mulispecies reaction model I/O functions. + +.. rubric:: Contents + +.. autosummary:: + + to_dict + from_dict + +""" + +import wntr.epanet.msx +import json + +from wntr.utils.citations import Citation, to_jsontypes + + +def to_dict(msx): + from wntr import __version__ + rep = dict( + version="wntr-{}".format(__version__), + name=msx.name if msx.name else msx._msxfile, + comment=msx.title if msx.title else "WaterQualityModel - units assumed to be internally consistent", + citations=to_jsontypes(msx._citations), + options=msx._options.to_dict(), + variables=dict( + species=[v.to_dict() for v in msx._species.values()], + coefficients=[v.to_dict() for v in msx._coeffs.values()], + other_terms=[v.to_dict() for v in msx._terms.values()], + ), + reactions=dict( + pipes=[v.to_dict() for v in msx._pipe_dynamics.values()], + tanks=[v.to_dict() for v in msx._tank_dynamics.values()], + ), + patterns=msx._patterns.copy(), + initial_quality=msx._initial_quality.copy(), + ) + # rep["sources"] = dict() + # for sp, v in msx._sources: + # if v is not None and len(v) > 0: + # rep["sources"][sp] = dict() + # for node, source in v.items(): + # rep["sources"][sp][node] = source.to_dict() + return rep diff --git a/wntr/reaction/library.py b/wntr/reaction/library.py index 6409cc017..553be9993 100644 --- a/wntr/reaction/library.py +++ b/wntr/reaction/library.py @@ -19,102 +19,119 @@ """ import logging -from ..utils.citations import Citation -from .model import WaterQualityReactionsModel +from wntr.utils.citations import Citation +from wntr.reaction.model import MultispeciesReactionModel logger = logging.getLogger(__name__) # ===================== Nicotine-chlorine model # -nicotine = WaterQualityReactionsModel( - title="Nicotine - Chlorine reaction", - desc="Values in libarary are for test purposes ONLY.", -) -"""A nicotine-chlorine reaction model""" - -nicotine.options.quality.area_units = "M2" -nicotine.options.quality.rate_units = "MIN" -nicotine.options.quality.timestep = 1 -nicotine.add_bulk_species("Nx", units="MG", note="Nicotine") -nicotine.add_bulk_species("HOCL", units="MG", note="Free chlorine") -nicotine.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") -nicotine.add_constant_coeff("K1", global_value=5.92e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") -nicotine.add_constant_coeff("K2", global_value=1.84e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -nicotine.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL") -nicotine.add_other_term("RXN", expression="K2 * Nx * HOCL") -nicotine.add_pipe_reaction("Nx", "rate", expression="-RXN") -nicotine.add_pipe_reaction("HOCL", "rate", expression="-RXCL") -nicotine.add_tank_reaction("Nx", "rate", "0") -nicotine.add_tank_reaction("HOCL", "rate", "0") +def nicotine() -> MultispeciesReactionModel: + """A nicotine-chlorine reaction model""" + msx = MultispeciesReactionModel() + msx.name = "nicotine" + msx.title = ("Nicotine - Chlorine reaction",) + msx.options.quality.area_units = "M2" + msx.options.quality.rate_units = "MIN" + msx.options.quality.timestep = 1 + msx.add_bulk_species("Nx", units="MG", note="Nicotine") + msx.add_bulk_species("HOCL", units="MG", note="Free chlorine") + msx.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") + msx.add_constant_coeff("K1", global_value=5.92e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") + msx.add_constant_coeff("K2", global_value=1.84e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") + msx.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL") + msx.add_other_term("RXN", expression="K2 * Nx * HOCL") + msx.add_pipe_reaction("Nx", "rate", expression="-RXN") + msx.add_pipe_reaction("HOCL", "rate", expression="-RXCL") + msx.add_tank_reaction("Nx", "rate", "0") + msx.add_tank_reaction("HOCL", "rate", "0") + return msx # ===================== Nicotine-chlorine reactive intermediate species # -nicotine_ri = WaterQualityReactionsModel( - title="Nicotine - Chlorine reaction with reactive intermediate", - desc="Values in libarary are for test purposes ONLY.", -) -"""A nicotine-chlorine reaction with a reactive intermediate""" -# Set the options -nicotine_ri.options.quality.area_units = "M2" -nicotine_ri.options.quality.rate_units = "MIN" -nicotine_ri.options.quality.timestep = 1 -nicotine_ri.options.quality.atol = 1.0e-10 -nicotine_ri.options.quality.rtol = 1.0e-10 -# Add species -nicotine_ri.add_bulk_species("Nx", units="MG", note="Nicotine") -nicotine_ri.add_bulk_species("HOCL", units="MG", note="Free Chlorine") -nicotine_ri.add_bulk_species("NX2", units="MG", note="Intermediate Nicotine Reactive") -# Add coefficients -nicotine_ri.add_constant_coeff("kd", 3.0e-5, note="decay rate", units="1/min") -nicotine_ri.add_constant_coeff("K1", global_value=9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") -nicotine_ri.add_constant_coeff("K2", global_value=5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -nicotine_ri.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") -nicotine_ri.add_constant_coeff("K4", global_value=2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") -# Add terms (named subexpressions) -nicotine_ri.add_other_term("RXCL", expression="kd*HOCL + K1*Nx*HOCL + K3*NX2*HOCL") -nicotine_ri.add_other_term("RXN", expression="K2*Nx*HOCL") -nicotine_ri.add_other_term("RXNX2", expression="K2*Nx*HOCL - K4*NX2*HOCL") -# Add pipe reactions, one per species -nicotine_ri.add_pipe_reaction("Nx", "RATE", expression="-RXN") -nicotine_ri.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") -nicotine_ri.add_pipe_reaction("NX2", "RATE", expression="RXNX2") -# Tank reactions actually aren't necessary since there aren't any wall species -nicotine_ri.add_tank_reaction("Nx", "RATE", expression="-RXN") -nicotine_ri.add_tank_reaction("HOCL", "RATE", expression="-RXCL") -nicotine_ri.add_tank_reaction("NX2", "RATE", expression="RXNX2") +def nicotine_ri() -> MultispeciesReactionModel: + """A nicotine-chlorine reaction with a reactive intermediate""" + msx = MultispeciesReactionModel() + msx.name = 'nicotine_ri' + msx.title = ("Nicotine - Chlorine reaction with reactive intermediate",) + # Set the options + msx.options.quality.area_units = "M2" + msx.options.quality.rate_units = "MIN" + msx.options.quality.timestep = 1 + msx.options.quality.atol = 1.0e-10 + msx.options.quality.rtol = 1.0e-10 + # Add species + msx.add_bulk_species("Nx", units="MG", note="Nicotine") + msx.add_bulk_species("HOCL", units="MG", note="Free Chlorine") + msx.add_bulk_species("NX2", units="MG", note="Intermediate Nicotine Reactive") + # Add coefficients + msx.add_constant_coeff("kd", 3.0e-5, note="decay rate", units="1/min") + msx.add_constant_coeff("K1", global_value=9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") + msx.add_constant_coeff("K2", global_value=5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") + msx.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") + msx.add_constant_coeff("K4", global_value=2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") + # Add terms (named subexpressions) + msx.add_other_term("RXCL", expression="kd*HOCL + K1*Nx*HOCL + K3*NX2*HOCL") + msx.add_other_term("RXN", expression="K2*Nx*HOCL") + msx.add_other_term("RXNX2", expression="K2*Nx*HOCL - K4*NX2*HOCL") + # Add pipe reactions, one per species + msx.add_pipe_reaction("Nx", "RATE", expression="-RXN") + msx.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") + msx.add_pipe_reaction("NX2", "RATE", expression="RXNX2") + # Tank reactions actually aren't necessary since there aren't any wall species + msx.add_tank_reaction("Nx", "RATE", expression="-RXN") + msx.add_tank_reaction("HOCL", "RATE", expression="-RXCL") + msx.add_tank_reaction("NX2", "RATE", expression="RXNX2") + return msx # ===================== Lead plumbosolvency model # -lead_ppm = WaterQualityReactionsModel( - title="Lead Plumbosolvency Model (from Burkhardt et al 2020)", - desc="Parameters for EPA HPS Simulator Model", - citations=[Citation( - title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", - year=2020, - author=[ - "Jonathan B. Burkhardt", - "Hyoungmin Woo", - "James Mason", - "Feng Shang", - "Simoni Triantafyllidou", - "Michael R. Schock", - "Darren Lytle", - "Regan Murray", - ], - citation_class="article", - journaltitle="J Water Resour Plan Manag", - volume=146, - number=12, - fulldate="2020-12-01", - doi="10.1061/(asce)wr.1943-5452.0001304", - eprint=[ - "PMID:33627937", - "PMCID:PMC7898126", - "NIHMSID:NIHMS1664627", - ], - )], - allow_sympy_reserved_names=True, - options={ +def lead_ppm() -> MultispeciesReactionModel: + """A lead plumbosolvency model [BWMS20]_. + + .. [BWMS20] + J. B. Burkhardt, et al. (2020) + "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". + `Journal of water resources planning and management`. + **146** (12). + https://doi.org/10.1061/(asce)wr.1943-5452.0001304 + + """ + msx = MultispeciesReactionModel() + msx.name = 'lead_ppm' + msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" + msx.desc = "Parameters for EPA HPS Simulator Model" + msx.citations.append( + Citation( + "article", + "BWMS20", + fields=dict( + title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", + year=2020, + author=[ + "Jonathan B. Burkhardt", + "Hyoungmin Woo", + "James Mason", + "Feng Shang", + "Simoni Triantafyllidou", + "Michael R. Schock", + "Darren Lytle", + "Regan Murray", + ], + journaltitle="J Water Resour Plan Manag", + volume=146, + number=12, + date="2020-12-01", + doi="10.1061/(asce)wr.1943-5452.0001304", + eprint=[ + "PMID:33627937", + "PMCID:PMC7898126", + "NIHMSID:NIHMS1664627", + ], + ), + ) + ) + msx.options = { "report": { "species": {"PB2": "YES"}, "species_precision": {"PB2": 5}, @@ -128,22 +145,11 @@ "rtol": 1e-08, "atol": 1e-08, }, - }, -) -"""A lead plumbosolvency model [BEMS20]_. - -.. [BEMS20] - J. B. Burkhardt, et al. (2020) - "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". - `Journal of water resources planning and management`. - **146** (12). - https://doi.org/10.1061/(asce)wr.1943-5452.0001304 - -""" -# add the species, coefficients and reactions -lead_ppm.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") -lead_ppm.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-1) * s^(-1)") -lead_ppm.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") -lead_ppm.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") -lead_ppm.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") -lead_ppm.add_tank_reaction("PB2", "RATE", expression="0") + } + msx.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") + msx.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-1) * s^(-1)") + msx.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") + msx.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") + msx.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") + msx.add_tank_reaction("PB2", "RATE", expression="0") + return msx \ No newline at end of file diff --git a/wntr/reaction/model.py b/wntr/reaction/model.py index 5b7b3cd13..f1984b225 100644 --- a/wntr/reaction/model.py +++ b/wntr/reaction/model.py @@ -2,7 +2,11 @@ """ Water quality reactions model. -TODO: FIXME: Make sure that we throw the same errors (text/number) as MSX would throw +.. rubric:: Contents + +.. autosummary:: + + MultispeciesReactionModel """ @@ -24,7 +28,9 @@ Tuple, Union, ) + from wntr.network.elements import Source +from wntr.utils.disjoint_mapping import DisjointMapping, KeyExistsError has_sympy = False try: @@ -40,97 +46,72 @@ convert_xor = None has_sympy = False +import wntr.reaction.io from wntr.network.model import WaterNetworkModel +from wntr.utils.citations import Citation -from ..utils.citations import Citation from .base import ( HYDRAULIC_VARIABLES, SYMPY_RESERVED, - DisjointMapping, + DynamicsType, LinkedVariablesMixin, - RxnDynamicsType, - RxnLocationType, - RxnModelRegistry, - RxnReaction, - RxnVariable, - RxnVariableType, - VariableNameExistsError, + LocationType, + ReactionDynamics, + AbstractReactionModel, + ReactionVariable, + VariableType, ) from .dynamics import EquilibriumDynamics, FormulaDynamics, RateDynamics -from .options import RxnOptions +from .options import MultispeciesOptions from .variables import ( BulkSpecies, Coefficient, Constant, InternalVariable, + OtherTerm, Parameter, Species, - OtherTerm, WallSpecies, ) logger = logging.getLogger(__name__) +__all__ = ["MultispeciesReactionModel"] + -@dataclass -class WaterQualityReactionsModel(RxnModelRegistry): +class MultispeciesReactionModel(AbstractReactionModel): """Water quality reactions model object. Parameters ---------- - title : str, optional - The title of reaction model - desc : str, optional - A long description of the model - filename : str, optional - The original filename - citations : list of Citation or str, optional - It is appropriate to cite sources for water quality models - allow_sympy_reserved_names : bool, optional - Should the extra names from sympy be excluded, by default False - options : RxnOptions, optional - Reaction MSX options, by default a new object - _wn : WaterNetworkModel - The water network model to use, by default None + msx_file_name : str, optional + The name of the MSX input file to read + """ - # FIXME: Make the __init__ just minimal, with a filename - # do the rest of stuff directly on the MSX object, make it as - # close to WNM as possible - - title: str = None - """A one-line title for the model""" - - desc: str = None - """A multi-line string describing the model""" - - filename: str = None - """The original filename""" - - citations: List[Union[Citation, str]] = "you ought to provide citations for your model" - """A list of citations for the sources of this model's dynamics""" - - allow_sympy_reserved_names: InitVar[bool] = False - """Allow sympy reserved names (I, E, pi)""" - - options: InitVar[RxnOptions] = None - """A link to the options object""" - - _wn: WaterNetworkModel = None - """A link to a water network model""" - - def __post_init__(self, allow_sympy_reserved_names=False, options=None): - if self._wn is not None and not isinstance(self._wn, WaterNetworkModel): - raise TypeError("Did not receive a WaterNetworkModel or None as first argument, got {}".format(self._wn)) - if isinstance(options, property): - options = RxnOptions() - elif not isinstance(options, RxnOptions): - options = RxnOptions.factory(options) - self._options = options - if isinstance(self.citations, str): - self.citations = [self.citations] - elif isinstance(self.citations, Citation): - self.citations = [self.citations] + def __init__(self, msx_file_name=None): + self.name: str = None + """A one-line title for the model""" + + self.title: str = None + """The title line from the MSX file""" + + self._msxfile: str = msx_file_name + """The original filename""" + + self._citations: List[Union[Citation, str]] = list() + """A list of citations for the sources of this model's dynamics""" + + self._allow_sympy_reserved_names: InitVar[bool] = True + """Allow sympy reserved names (I, E, pi)""" + + self._options: InitVar[MultispeciesOptions] = None + """A link to the options object""" + + self._wn: WaterNetworkModel = None + """A link to a water network model""" + + self._options = MultispeciesOptions() self._variables: DisjointMapping = DisjointMapping() self._species = self._variables.add_disjoint_group("species") @@ -150,11 +131,16 @@ def __post_init__(self, allow_sympy_reserved_names=False, options=None): for v in HYDRAULIC_VARIABLES: self._variables[v["name"]] = InternalVariable(v["name"], note=v["note"]) - if not allow_sympy_reserved_names: + if not self._allow_sympy_reserved_names: for name in SYMPY_RESERVED: self._variables[name] = InternalVariable(name, note="sympy reserved name") + if msx_file_name is not None: + from wntr.epanet.msx.io import MsxFile - def _is_variable_registered(self, var_or_name: Union[str, RxnVariable]) -> bool: + inp = MsxFile() + inp.read(msx_file_name, self) + + def _is_variable_registered(self, var_or_name: Union[str, ReactionVariable]) -> bool: name = str(var_or_name) if name in self._variables.keys(): return True @@ -191,11 +177,11 @@ def coefficient_name_list(self) -> List[str]: return list(self._coeffs.keys()) @property - def function_name_list(self) -> List[str]: + def other_term_name_list(self) -> List[str]: """A list of all defined function (MSX 'terms') names""" return list(self._terms.keys()) - def variables(self, var_type: RxnVariableType = None): + def variables(self, var_type: VariableType = None): """A generator to loop over the variables. Parameters @@ -208,13 +194,13 @@ def variables(self, var_type: RxnVariableType = None): RxnVariable a variable defined within the model """ - var_type = RxnVariableType.factory(var_type) + var_type = VariableType.get(var_type) for v in self._variables.values(): if var_type is not None and v.var_type != var_type: continue yield v - def add_variable(self, var_or_type: Union[RxnVariable, RxnVariableType], name: str = None, **kwargs): + def add_variable(self, var_or_type: Union[ReactionVariable, VariableType], name: str = None, **kwargs): """Add an new variable to the model, or add an existing, unlinked variable object to the model. Parameters @@ -235,19 +221,19 @@ def add_variable(self, var_or_type: Union[RxnVariable, RxnVariableType], name: s VariableNameExistsError if the variable or name uses the same name an existing variable already uses """ - if not isinstance(var_or_type, (RxnVariable,)): + if not isinstance(var_or_type, (ReactionVariable,)): try: - var_or_type = RxnVariableType.factory(var_or_type) + var_or_type = VariableType.get(var_or_type) except Exception as e: raise TypeError("Cannot add an object that is not a RxnVariable subclass or create a new object without a valid var_type") from e if name is None: raise ValueError("When adding a new variable, a name must be supplied") typ = var_or_type - if typ is RxnVariableType.BULK or typ is RxnVariableType.WALL: + if typ is VariableType.BULK or typ is VariableType.WALL: self.add_species(var_or_type, name, **kwargs) - elif typ is RxnVariableType.CONST or typ is RxnVariableType.PARAM: + elif typ is VariableType.CONST or typ is VariableType.PARAM: self.add_coefficient(var_or_type, name, **kwargs) - elif typ is RxnVariableType.TERM: + elif typ is VariableType.TERM: self.add_other_term(var_or_type, name, **kwargs) else: raise TypeError("Cannot create new objects of the INTERNAL type using this function") @@ -256,25 +242,25 @@ def add_variable(self, var_or_type: Union[RxnVariable, RxnVariableType], name: s raise ValueError("When adding an existing variable object, no other arguments may be supplied") __variable = var_or_type if self._is_variable_registered(__variable): - raise VariableNameExistsError("A variable with this name already exists in the model") + raise KeyExistsError("A variable with this name already exists in the model") typ = __variable.var_type name = __variable.name if isinstance(__variable, LinkedVariablesMixin): __variable._variable_registry = self - if typ is RxnVariableType.BULK or typ is RxnVariableType.WALL: + if typ is VariableType.BULK or typ is VariableType.WALL: self._variables.add_item_to_group("species", name, __variable) self._inital_quality[name] = dict(global_value=None, nodes=dict(), links=dict()) self._sources[name] = dict() - elif typ is RxnVariableType.CONST or typ is RxnVariableType.PARAM: + elif typ is VariableType.CONST or typ is VariableType.PARAM: self._variables.add_item_to_group("coeffs", name, __variable) - elif typ is RxnVariableType.TERM: + elif typ is VariableType.TERM: self._variables.add_item_to_group("funcs", name, __variable) else: self._variables.add_item_to_group(None, name, __variable) def add_species( self, - species_type: Union[str, Literal[RxnVariableType.BULK], Literal[RxnVariableType.WALL]], + species_type: Union[str, Literal[VariableType.BULK], Literal[VariableType.WALL]], name: str, units: str, atol: float = None, @@ -313,19 +299,19 @@ def add_species( TypeError if atol and rtol are not both None or both a float """ - species_type = RxnVariableType.factory(species_type) - if species_type not in [RxnVariableType.BULK, RxnVariableType.WALL]: + species_type = VariableType.get(species_type) + if species_type not in [VariableType.BULK, VariableType.WALL]: raise ValueError("Species must be BULK or WALL, got {:s}".format(species_type)) if self._is_variable_registered(name): - raise VariableNameExistsError("The variable {} already exists in this model".format(name)) + raise KeyExistsError("The variable {} already exists in this model".format(name)) if (atol is None) ^ (rtol is None): raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) - if species_type is RxnVariableType.BULK: + if species_type is VariableType.BULK: var = BulkSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, variable_registry=self) - elif species_type is RxnVariableType.WALL: + elif species_type is VariableType.WALL: var = WallSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, variable_registry=self) self._species[name] = var - self._inital_quality[name] = dict([('global', None), ('nodes', dict()), ('links', dict())]) + self._inital_quality[name] = dict([("global", None), ("nodes", dict()), ("links", dict())]) self._sources[name] = dict() return var @@ -358,7 +344,7 @@ def add_bulk_species(self, name: str, units: str, atol: float = None, rtol: floa TypeError if atol and rtol are not both None or both a float """ - return self.add_species(RxnVariableType.BULK, name, units, atol, rtol, note) + return self.add_species(VariableType.BULK, name, units, atol, rtol, note) def add_wall_species(self, name: str, units: str, atol: float = None, rtol: float = None, note: str = None) -> WallSpecies: """Add a new wall species to the model. @@ -389,10 +375,10 @@ def add_wall_species(self, name: str, units: str, atol: float = None, rtol: floa TypeError if atol and rtol are not both None or both a float """ - return self.add_species(RxnVariableType.WALL, name, units, atol, rtol, note) + return self.add_species(VariableType.WALL, name, units, atol, rtol, note) def add_coefficient( - self, coeff_type: Union[str, Literal[RxnVariableType.CONST], Literal[RxnVariableType.PARAM]], name: str, global_value: float, note: str = None, units: str = None, **kwargs + self, coeff_type: Union[str, Literal[VariableType.CONST], Literal[VariableType.PARAM]], name: str, global_value: float, note: str = None, units: str = None, **kwargs ) -> Coefficient: """Add a new coefficient to the model. @@ -424,14 +410,14 @@ def add_coefficient( VariableNameExistsError if a variable with this name already exists in the model """ - coeff_type = RxnVariableType.factory(coeff_type) - if coeff_type not in [RxnVariableType.CONST, RxnVariableType.PARAM]: + coeff_type = VariableType.get(coeff_type) + if coeff_type not in [VariableType.CONST, VariableType.PARAM]: raise ValueError("coeff_type must be CONST or PARAM, got {:s}".format(coeff_type)) if self._is_variable_registered(name): - raise VariableNameExistsError("The variable {} already exists in this model".format(name)) - if coeff_type is RxnVariableType.CONST: + raise KeyExistsError("The variable {} already exists in this model".format(name)) + if coeff_type is VariableType.CONST: var = Constant(name=name, global_value=global_value, note=note, units=units, variable_registry=self) - elif coeff_type is RxnVariableType.PARAM: + elif coeff_type is VariableType.PARAM: var = Parameter(name=name, global_value=global_value, note=note, units=units, variable_registry=self, **kwargs) self._coeffs[name] = var return var @@ -464,7 +450,7 @@ def add_constant_coeff(self, name: str, global_value: float, note: str = None, u VariableNameExistsError if a variable with this name already exists in the model """ - return self.add_coefficient(RxnVariableType.CONST, name=name, global_value=global_value, note=note, units=units) + return self.add_coefficient(VariableType.CONST, name=name, global_value=global_value, note=note, units=units) def add_parameterized_coeff( self, name: str, global_value: float, note: str = None, units: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None @@ -500,7 +486,7 @@ def add_parameterized_coeff( VariableNameExistsError if a variable with this name already exists in the model """ - return self.add_coefficient(RxnVariableType.PARAM, name=name, global_value=global_value, note=note, units=units, _pipe_values=pipe_values, _tank_values=tank_values) + return self.add_coefficient(VariableType.PARAM, name=name, global_value=global_value, note=note, units=units, _pipe_values=pipe_values, _tank_values=tank_values) def add_other_term(self, name: str, expression: str, note: str = None) -> OtherTerm: """Add a new user-defined function to the model. @@ -529,22 +515,46 @@ def add_other_term(self, name: str, expression: str, note: str = None) -> OtherT if a variable with this name already exists in the model """ if self._is_variable_registered(name): - raise VariableNameExistsError("The variable {} already exists in this model".format(name)) + raise KeyExistsError("The variable {} already exists in this model".format(name)) var = OtherTerm(name=name, expression=expression, note=note, variable_registry=self) self._terms[name] = var return var def remove_variable(self, name: str): + """Remove a variable from the model. + + Parameters + ---------- + name : str + variable name + """ if name in self._inital_quality.keys(): self._inital_quality.__delitem__(name) if name in self._sources.keys(): self._sources.__delitem__(name) return self._variables.__delitem__(name) - def get_variable(self, name: str) -> RxnVariable: + def get_variable(self, name: str) -> ReactionVariable: + """Get a variable based on its name (symbol). + + Parameters + ---------- + name : str + The variable name + + Returns + ------- + ReactionVariable + the variable with the name in question + + Raises + ------ + KeyError + a variable with that name does not exist + """ return self._variables[name] - def reactions(self, location: RxnLocationType = None): + def reactions(self, location: LocationType = None): """A generator for iterating through reactions in the model. Parameters @@ -554,73 +564,154 @@ def reactions(self, location: RxnLocationType = None): Yields ------ - RxnReaction + ReactionDynamics a reaction defined within the model """ - location = RxnLocationType.factory(location) + location = LocationType.get(location) for v in self._dynamics.values(): if location is not None and v.location != location: continue yield v - def add_reaction(self, location: RxnLocationType, species: Union[str, Species], dynamics: Union[str, int, RxnDynamicsType], expression: str, note: str = None): + def add_reaction(self, location: LocationType, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None): + """Add a multispecies water quality reaction to the model. + + Parameters + ---------- + location : LocationType + where the reaction is taking place + species : Union[str, Species] + the species with the dynamics that are being described + dynamics : Union[str, int, DynamicsType] + the type of reaction dynamics used to describe this species changes through time + expression : str + the right-hand-side of the reaction dynamics equation + note : str, optional + a note about this reaction, by default None + + Returns + ------- + ReactionDynamics + the resulting reaction object + + Raises + ------ + ValueError + species does not exist + RuntimeError + species already has reaction defined FIXME: this should be an MSX error + ValueError + invalid dynamics type + ValueError + invalid location type + """ # TODO: accept a "both" or "all" value for location - location = RxnLocationType.factory(location) + location = LocationType.get(location) species = str(species) if species not in self._species.keys(): raise ValueError("The species {} does not exist in the model, failed to add reaction.".format(species)) - _key = RxnReaction.to_key(species, location) + _key = ReactionDynamics.to_key(species, location) if _key in self._dynamics.keys(): raise RuntimeError("The species {} already has a {} reaction defined. Use set_reaction instead.") - dynamics = RxnDynamicsType.factory(dynamics) + dynamics = DynamicsType.get(dynamics) new = None - if dynamics is RxnDynamicsType.EQUIL: + if dynamics is DynamicsType.EQUIL: new = EquilibriumDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) - elif dynamics is RxnDynamicsType.RATE: + elif dynamics is DynamicsType.RATE: new = RateDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) - elif dynamics is RxnDynamicsType.FORMULA: + elif dynamics is DynamicsType.FORMULA: new = FormulaDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) else: raise ValueError("Invalid dynamics type, {}".format(dynamics)) - if location is RxnLocationType.PIPE: + if location is LocationType.PIPE: self._pipe_dynamics[str(new)] = new - elif location is RxnLocationType.TANK: + elif location is LocationType.TANK: self._tank_dynamics[str(new)] = new else: raise ValueError("Invalid location type, {}".format(location)) return new - def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnDynamicsType], expression: str, note: str = None) -> RxnReaction: - return self.add_reaction(RxnLocationType.PIPE, species=species, dynamics=dynamics, expression=expression, note=note) + def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None) -> ReactionDynamics: + """Add a pipe reaction. See also :meth:`add_reaction`. + + Parameters + ---------- + species : Union[str, Species] + the species with the dynamics that are being described + dynamics : Union[str, int, DynamicsType] + the type of reaction dynamics used to describe this species changes through time + expression : str + the right-hand-side of the reaction dynamics equation + note : str, optional + a note about this reaction, by default None + + Returns + ------- + ReactionDynamics + the reaction object + """ + return self.add_reaction(LocationType.PIPE, species=species, dynamics=dynamics, expression=expression, note=note) + + def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None) -> ReactionDynamics: + """Add a pipe reaction. See also :meth:`add_reaction`. + + Parameters + ---------- + species : Union[str, Species] + the species with the dynamics that are being described + dynamics : Union[str, int, DynamicsType] + the type of reaction dynamics used to describe this species changes through time + expression : str + the right-hand-side of the reaction dynamics equation + note : str, optional + a note about this reaction, by default None + + Returns + ------- + ReactionDynamics + the reaction object + """ + return self.add_reaction(LocationType.TANK, species=species, dynamics=dynamics, expression=expression, note=note) + + def remove_reaction(self, species: Union[str, Species], location: Union[str, int, LocationType, Literal["all"]]): + """Remove a reaction for a species from the model - def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, int, RxnDynamicsType], expression: str, note: str = None) -> RxnReaction: - return self.add_reaction(RxnLocationType.TANK, species=species, dynamics=dynamics, expression=expression, note=note) + Parameters + ---------- + species : str or Species + the species to remove a reaction for + location : str, int, LocationType or 'all' + the location of the reaction to delete, with 'all' meaning both wall and pipe reactions - def remove_reaction(self, species: Union[str, Species], location: Union[str, int, RxnLocationType, Literal["all"]]): + Raises + ------ + ValueError + if the value for `location` is invalid + """ if location != "all": - location = RxnLocationType.factory(location) + location = LocationType.get(location) species = str(species) if location is None: raise TypeError('location cannot be None when removing a reaction. Use "all" for all locations.') elif location == "all": - name = RxnReaction.to_key(species, RxnLocationType.PIPE) + name = ReactionDynamics.to_key(species, LocationType.PIPE) try: self._pipe_dynamics.__delitem__(name) except KeyError: pass - name = RxnReaction.to_key(species, RxnLocationType.TANK) + name = ReactionDynamics.to_key(species, LocationType.TANK) try: self._tank_dynamics.__delitem__(name) except KeyError: pass - elif location is RxnLocationType.PIPE: - name = RxnReaction.to_key(species, RxnLocationType.PIPE) + elif location is LocationType.PIPE: + name = ReactionDynamics.to_key(species, LocationType.PIPE) try: self._pipe_dynamics.__delitem__(name) except KeyError: pass - elif location is RxnLocationType.TANK: - name = RxnReaction.to_key(species, RxnLocationType.TANK) + elif location is LocationType.TANK: + name = ReactionDynamics.to_key(species, LocationType.TANK) try: self._tank_dynamics.__delitem__(name) except KeyError: @@ -629,11 +720,25 @@ def remove_reaction(self, species: Union[str, Species], location: Union[str, int raise ValueError("Invalid location, {}".format(location)) def get_reaction(self, species, location): + """Get a reaction for a species at either a pipe or tank. + + Parameters + ---------- + species : str or Species + the species to get a reaction for + location : str, int, or LocationType + the location of the reaction + + Returns + ------- + ReactionDynamics + the requested reaction object + """ species = str(species) - location = RxnLocationType.factory(location) - if location == RxnLocationType.PIPE: + location = LocationType.get(location) + if location == LocationType.PIPE: return self._pipe_dynamics.get(species, None) - elif location == RxnLocationType.TANK: + elif location == LocationType.TANK: return self._tank_dynamics.get(species, None) def init_printing(self, *args, **kwargs): @@ -641,15 +746,27 @@ def init_printing(self, *args, **kwargs): init_printing(*args, **kwargs) @property - def options(self) -> RxnOptions: + def citations(self) -> List[Union[str, Citation]]: + """A list of citation strings or Citation objects. + The Citation object from wntr.utils does not have to be used, but an object of + a different type should have a "to_dict" method to ensure that dictionary and + json conversions work as intended. + """ + return self._citations + + @property + def options(self) -> MultispeciesOptions: """The multispecies reaction model options.""" return self._options @options.setter def options(self, value): - if not isinstance(value, RxnOptions): + if isinstance(value, dict): + self._options = MultispeciesOptions.factory(value) + elif not isinstance(value, MultispeciesOptions): raise TypeError("Expected a RxnOptions object, got {}".format(type(value))) - self._options = value + else: + self._options = value def link_water_network_model(self, wn: WaterNetworkModel): self._wn = wn @@ -658,26 +775,14 @@ def add_pattern(self, name, pat): self._patterns[name] = pat def to_dict(self) -> dict: - rep = dict() - rep["version"] = 'wntr.reactions-0.0.1' - rep["title"] = self.title - rep["desc"] = self.desc - rep["original_filename"] = self.filename - rep["citations"] = [(c.to_dict() if isinstance(c, Citation) else c) for c in self.citations] - rep["options"] = self._options.to_dict() - rep["variables"] = dict() - rep["variables"]["species"] = [v.to_dict() for v in self._species.values()] - rep["variables"]["coefficients"] = [v.to_dict() for v in self._coeffs.values()] - rep["variables"]["other_terms"] = [v.to_dict() for v in self._terms.values()] - rep["reactions"] = dict() - rep["reactions"]["pipes"] = [v.to_dict() for v in self._pipe_dynamics.values()] - rep["reactions"]["tanks"] = [v.to_dict() for v in self._tank_dynamics.values()] - rep["patterns"] = self._patterns.copy() - rep["initial_quality"] = self._inital_quality.copy() - # rep["sources"] = dict() - # for sp, v in self._sources: - # if v is not None and len(v) > 0: - # rep["sources"][sp] = dict() - # for node, source in v.items(): - # rep["sources"][sp][node] = source.to_dict() - return rep + """Convert this water quality model to a dictionary""" + wntr.reaction.io.to_dict() + + def from_dict(self, d) -> dict: + """Append to this water quality model from a dictionary""" + wntr.reaction.io.from_dict(d, append=self) + + def __repr__(self): + if self._msxfile or self.name: + return "{}({})".format(self.__class__.__name__, repr(self._msxfile) if self._msxfile else repr(self.name)) + return super().__repr__() diff --git a/wntr/reaction/options.py b/wntr/reaction/options.py index 69eb722a4..1f113f52e 100644 --- a/wntr/reaction/options.py +++ b/wntr/reaction/options.py @@ -1,3 +1,7 @@ +# coding: utf-8 +"""Options for multispecies reaction models. +""" + import re import logging import copy @@ -180,7 +184,7 @@ def __init__(self, **kwargs): self.__dict__[k] = v -class RxnOptions(_OptionsBase): +class MultispeciesOptions(_OptionsBase): """ Water network model options class. @@ -190,12 +194,6 @@ class RxnOptions(_OptionsBase): Parameters ---------- - title : str - The title to print in the .msx file - - time : TimeOptions - Contains all timing options for the scenarios - quality : QualityOptions Contains water quality simulation options and source definitions diff --git a/wntr/reaction/toolkitmsx.py b/wntr/reaction/toolkitmsx.py deleted file mode 100644 index cca0a09c5..000000000 --- a/wntr/reaction/toolkitmsx.py +++ /dev/null @@ -1,514 +0,0 @@ -""" -The wntr.reaction.toolkit module is a Python extension for the EPANET MSX -Programmers Toolkit DLLs. - -.. note:: - - Code in this section taken from code originally written by Junli Hao 07/29/2018, - "EPANET-MSX-Python-wrapper" on GitHub, licensed under the BSD license. See LICENSE.txt for more - details. - - -""" -import ctypes -import os -import os.path -import platform -import sys -from ctypes import byref - -from pkg_resources import resource_filename - -from ..epanet.toolkit import ENepanet -from ..epanet.util import SizeLimits -from .exceptions import EpanetMsxException - -epanet_toolkit = "wntr.epanet.toolkit" - -if os.name in ["nt", "dos"]: - libepanet = resource_filename(__name__, "Windows/epanet2.dll") - libmsx = resource_filename(__name__, "Windows/epanetmsx.dll") -elif sys.platform in ["darwin"]: - libepanet = resource_filename(__name__, "Darwin/libepanet.dylib") - libmsx = resource_filename(__name__, "Darwin/libepanetmsx.dylib") -else: - libepanet = resource_filename(__name__, "Linux/libepanet2.so") - libmsx = resource_filename(__name__, "Linux/libepanetmsx.so") - -import logging - -logger = logging.getLogger(__name__) - - -class MSXepanet(ENepanet): - def __init__(self, inpfile="", rptfile="", binfile="", version=2.2): - - self.ENlib = None - self.errcode = 0 - self.errcodelist = [] - self.cur_time = 0 - - self.Warnflag = False - self.Errflag = False - self.fileLoaded = False - - self.inpfile = inpfile - self.rptfile = rptfile - self.binfile = binfile - - if float(version) == 2.0: - libnames = ["epanetmsx"] - if "64" in platform.machine(): - libnames.insert(0, "epanetmsx_amd64") - elif float(version) == 2.2: - libnames = ["epanetmsx", "epanetmsx_win32"] - if "64" in platform.machine(): - libnames.insert(0, "epanetmsx_amd64") - for lib in libnames: - try: - if os.name in ["nt", "dos"]: - libepanet = resource_filename(epanet_toolkit, "Windows/%s.dll" % lib) - self.ENlib = ctypes.windll.LoadLibrary(libepanet) - elif sys.platform in ["darwin"]: - libepanet = resource_filename(epanet_toolkit, "Darwin/lib%s.dylib" % lib) - self.ENlib = ctypes.cdll.LoadLibrary(libepanet) - else: - libepanet = resource_filename(epanet_toolkit, "Linux/lib%s.so" % lib) - self.ENlib = ctypes.cdll.LoadLibrary(libepanet) - return - except Exception as E1: - if lib == libnames[-1]: - raise E1 - pass - finally: - self._project = None - - return - - # ----------running the simulation----------------------------------------------------- - def MSXopen(self, nomeinp): - """Opens the MSX Toolkit to analyze a particular distribution system - Arguments: - nomeinp: name of the msx input file - """ - ierr = self.ENlib.MSXopen(ctypes.c_char_p(nomeinp.encode())) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXclose( - self, - ): - """Closes down the Toolkit system (including all files being processed)""" - ierr = self.ENlib.MSXclose() - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXusehydfile(self, fname): - """Uses the contents of the specified file as the current binary hydraulics file""" - ierr = self.ENlib.MSXusehydfile(ctypes.c_char_p(fname.encode())) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXsolveH( - self, - ): - """Runs a complete hydraulic simulation with results - for all time periods written to the binary Hydraulics file.""" - ierr = self.ENlib.MSXsolveH() - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXinit(self, saveFlag=0): - """Initializes the MSX system before solving for water quality results in step-wise fashion - set saveFlag to 1 if water quality results should be saved to a scratch binary file, or to 0 is not saved to file""" - ierr = self.ENlib.MSXinit(saveFlag) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXsolveQ( - self, - ): - """solves for water quality over the entire simulation period and saves the results to an internal scratch file""" - ierr = self.ENlib.MSXsolveQ() - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXstep( - self, - ): - """Advances the water quality simulation one water quality time step. - The time remaining in the overall simulation is returned as tleft, the current time as t.""" - t = ctypes.c_long() - tleft = ctypes.c_long() - ierr = self.ENlib.MSXstep(ctypes.byref(t), ctypes.byref(tleft)) - if ierr != 0: - raise EpanetMsxException(ierr) - out = [t.value, tleft.value] - return out - - def MSXsaveoutfile(self, fname): - """saves water quality results computed for each node, link and reporting time period to a named binary file""" - ierr = self.ENlib.MSXsaveoutfile(ctypes.c_char_p(fname.encode())) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXsavemsxfile(self, fname): - """saves the data associated with the current MSX project into a new MSX input file""" - ierr = self.ENlib.MSXsavemsxfile(ctypes.c_char_p(fname.encode())) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXreport( - self, - ): - """Writes water quality simulations results as instructed by the MSX input file to a text file""" - ierr = self.ENlib.MSXreport() - if ierr != 0: - raise EpanetMsxException(ierr) - - # ---------get parameters--------------------------------------------------------------- - def MSXgetindex(self, type, name): - """Retrieves the internal index of an MSX object given its name. - Arguments: - type (int) - MSX_SPECIES - 3 (for a chemical species) - MSX_CONSTANT - 6 (for a reaction constant - MSX_PARAMETER - 5 (for a reaction parameter) - MSX_PATTERN - 7 (for a time pattern)""" - type_ind = 100 # in case the type input is in text - if type == "MSX_SPECIES" or type == 3: - type_ind = 3 - if type == "MSX_CONSTANT" or type == 6: - type_ind = 6 - if type == "MSX_PARAMETER" or type == 5: - type_ind = 5 - if type == "MSX_PATTERN" or type == 7: - type_ind = 7 - if type_ind == 100: - raise Exception("unrecognized type") - ind = ctypes.c_int() - ierr = self.ENlib.MSXgetindex(type_ind, ctypes.c_char_p(name.encode()), ctypes.byref(ind)) - if ierr != 0: - raise EpanetMsxException(ierr) - return ind.value - - def MSXgetIDlen(self, type, index): - """Retrieves the number of characters in the ID name of an MSX object given its internal index number. - Arguments: - type - int: - MSX_SPECIES - 3 (for a chemical species) - MSX_CONSTANT - 6 (for a reaction constant - MSX_PARAMETER - 5 (for a reaction parameter) - MSX_PATTERN - 7 (for a time pattern)""" - type_ind = 100 # in case the type input is in text - if type == "MSX_SPECIES" or type == 3: - type_ind = 3 - if type == "MSX_CONSTANT" or type == 6: - type_ind = 6 - if type == "MSX_PARAMETER" or type == 5: - type_ind = 5 - if type == "MSX_PATTERN" or type == 7: - type_ind = 7 - if type_ind == 100: - raise Exception("unrecognized type") - len = ctypes.c_int() - ierr = self.ENlib.MSXgetIDlen(type_ind, ctypes.c_int(index), ctypes.byref(len)) - if ierr != 0: - raise EpanetMsxException(ierr) - return len.value - - def MSXgetID(self, type, index): - """Retrieves the ID name of an object given its internal index number - Arguments: - type: - MSX_SPECIES - 3 (for a chemical species) - MSX_CONSTANT - 6 (for a reaction constant - MSX_PARAMETER - 5 (for a reaction parameter) - MSX_PATTERN - 7 (for a time pattern) - maxlen: maxi number of characters that id can hold not counting null termination character""" - type_ind = 100 # in case the type input is in text - if type == "MSX_SPECIES" or type == 3: - type_ind = 3 - if type == "MSX_CONSTANT" or type == 6: - type_ind = 6 - if type == "MSX_PARAMETER" or type == 5: - type_ind = 5 - if type == "MSX_PATTERN" or type == 7: - type_ind = 7 - if type_ind == 100: - raise Exception("unrecognized type") - maxlen = 32 - id = ctypes.create_string_buffer(maxlen) - ierr = self.ENlib.MSXgetID(type_ind, ctypes.c_int(index), ctypes.byref(id), ctypes.c_int(maxlen - 1)) - if ierr != 0: - raise EpanetMsxException(ierr) - # the .decode() added my MF 6/3/21 - return id.value.decode() - - def MSXgetinitqual(self, type, ind, spe): - """Retrieves the initial concentration of a particular chemical species assigned to a specific node - or link of the pipe network. - Arguments: - type is type of object: MSX_NODE (0), MSX_LINK (1) - ind is the internal sequence number (starting from 1) assigned to the node or link - speicies is the sequence number of teh species (starting from 1)""" - type_ind = 100 - if type == "MSX_NODE" or type == 0: - type_ind = 0 - if type == "MSX_LINK" or type == 1: - type_ind = 1 - if type_ind == 100: - raise Exception("unrecognized type") - iniqual = ctypes.c_double() - ierr = self.ENlib.MSXgetinitqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.byref(iniqual)) - if ierr != 0: - raise EpanetMsxException(ierr) - return iniqual.value - - def MSXgetqual(self, type, ind, spe): - """Retrieves a chemical species concentration at a given node or the average concentration along a link at the current simulation time step - Arguments: - type is type of object: MSX_NODE (0), MSX_LINK (1) - ind is the internal sequence number (starting from 1) assigned to the node or link - speicies is the sequence number of teh species (starting from 1) - concentrations expressed as: mass units per liter for bulk species and mass per unit area for surface species""" - type_ind = 100 - if type == "MSX_NODE" or type == 0: - type_ind = 0 - if type == "MSX_LINK" or type == 1: - type_ind = 1 - if type_ind == 100: - raise Exception("unrecognized type") - qual = ctypes.c_double() - ierr = self.ENlib.MSXgetqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.byref(qual)) - if ierr != 0: - raise EpanetMsxException(ierr) - return qual.value - - def MSXgetconstant(self, ind): - """Retrieves the value of a particular reaction constant - Arguments: - ind is the sequence number of the reaction constant (starting from 1) as it appeared in the MSX input file""" - const = ctypes.c_double() - ierr = self.ENlib.MSXgetconstant(ind, ctypes.byref(const)) - if ierr != 0: - raise EpanetMsxException(ierr) - return const.value - - def MSXgetparameter(self, type, ind, param_ind): - """Retrieves the value of a particular reaction parameter for a give TANK or PIPE - Arguments: - type is the type of object: MSX_NODE (0) or MSX_LINK (1) - ind is the internal sequence number(starting from 1) assigned to the node or link - param is the sequence number of the parameter (starting from 1 as listed in the MSX input file)""" - type_ind = 100 # in case type input is in text - if type == "MSX_NODE" or type == 0: - type_ind = 0 - if type == "MSX_LINK" or type == 1: - type_ind = 1 - if type_ind == 100: - raise Exception("unrecognized type") - param = ctypes.c_double() - ierr = self.ENlib.MSXgetparameter(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(param_ind), ctypes.byref(param)) - if ierr != 0: - raise EpanetMsxException(ierr) - return param.value - - def MSXgetsource(self, node, spe): - """Retrieves information on any external source of a particular chemical species assigned to a specific node of the pipe network - Arguments: - node is the internal sequence number (starting from 1) assigned to the node of interest - species is the sequence number of the species of interest (starting from 1 as listed in the MSX input file) - type is returned with the type of external source and will be one of the following pre-defined constants - MSX_NOSOURCE (-1) no source; MSX_CONCEN (0) a concentration source; MSX_MASS (1) mass booster source; - MSX_SETPOINT (2) setpoint source; MSX_FLOWPACED (3) flow paced source - level is returned with the baseline concentration (or mass flow rate) of the source - pat is returned with the index of the time pattern used to add variability to the source's baseline level (0 if no pattern defined for the source)""" - level = ctypes.c_double() - type = ctypes.c_int() - pat = ctypes.c_int() - ierr = self.ENlib.MSXgetsource(ctypes.c_int(node), ctypes.c_int(spe), ctypes.byref(type), ctypes.byref(level), ctypes.byref(pat)) - if ierr != 0: - raise EpanetMsxException(ierr) - src_out = [type.value, level.value, pat.value] - return src_out - - def MSXgetpatternlen(self, pat): - """Retrieves the number of time periods within a SOURCE time pattern - Arguments: - pat is the internal sequence number (starting from 1) of the pattern as appears in the MSX input file""" - len = ctypes.c_int() - ierr = self.ENlib.MSXgetpatternlen(pat, ctypes.byref(len)) - if ierr != 0: - raise EpanetMsxException(ierr) - return len.value - - def MSXgetpatternvalue(self, pat, period): - """Retrieves the multiplier at a specific time period for a given SOURCE time pattern - Arguments: - pat is the internal sequence number (starting from 1) of the pattern as appears in the MSX input file - period is the index of the time period (starting from 1) whose multiplier is being sought - value is the vlaue of teh pattern's multiplier in teh desired period""" - val = ctypes.c_double() - ierr = self.ENlib.MSXgetpatternvalue(pat, period, ctypes.byref(val)) - if ierr != 0: - raise EpanetMsxException(ierr) - return val.value - - def MSXgetcount(self, type): - """Retrieves the number of objects of a specified type. - Arguments: - MSX_SPECIES - 3 (for a chemical species) - MSX_CONSTANT - 6 (for a reaction constant - MSX_PARAMETER - 5 (for a reaction parameter) - MSX_PATTERN - 7 (for a time pattern) - maxlen: maxi number of characters that id can hold not counting null termination character""" - type_ind = 100 # in case the type input is in text - if type == "MSX_SPECIES" or type == 3: - type_ind = 3 - if type == "MSX_CONSTANT" or type == 6: - type_ind = 6 - if type == "MSX_PARAMETER" or type == 5: - type_ind = 5 - if type == "MSX_PATTERN" or type == 7: - type_ind = 7 - if type_ind == 100: - raise Exception("unrecognized type") - count = ctypes.c_int() - ierr = self.ENlib.MSXgetcount(type_ind, ctypes.byref(count)) - if ierr != 0: - raise EpanetMsxException(ierr) - return count.value - - def MSXgetspecies(self, spe): - """Retrieves the attributes of a chemical species given its internal index number. - species is the sequence number of the species (starting from 1 as listed in the MSX input file - type: MSX_BULK (defined as 0) and MSX_WALL (defined as 1) - units: C_style character string array that is returned with the mass units that were defined for the species in question(hold max 15 characters) - aTol returned with absolute concentration tolerance defined for the species - rTol returned with the relative concentration tolerance defined for the species""" - type_ind = ctypes.c_int() - units = ctypes.create_string_buffer(15) - aTol = ctypes.c_double() - rTol = ctypes.c_double() - ierr = self.ENlib.MSXgetspecies(spe, ctypes.byref(type_ind), ctypes.byref(units), ctypes.byref(aTol), ctypes.byref(rTol)) - if ierr != 0: - raise EpanetMsxException(ierr) - spe_out = [type_ind.value, units.value, aTol.value, rTol.value] - return spe_out - - def MSXgeterror(self, errcode, len=100): - """returns the text for an error message given its error code - arguments: - code is the code number of an error condition generated by EPANET-MSX - msg is a C-style string containing text of error message corresponding to error code - len is the max number of charaters that msg can contain (at least 80)""" - errmsg = ctypes.create_string_buffer(len) - self.ENlib.MSXgeterror(errcode, ctypes.byref(errmsg), len) - return errmsg.value.decode() - - # --------------set parameters----------------------------------- - - def MSXsetconstant(self, ind, value): - """assigns a new value to a specific reaction constant - Arguments: - ind is the sequence number of the reaction constant (starting from 1) as it appreaed in the MSX input file - value is the new value to be assigned to the constant""" - ierr = self.ENlib.MSXsetconstant(ctypes.c_int(ind), ctypes.c_double(value)) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXsetparameter(self, type, ind, param, value): - """assigns a value to a particular reaction parameter for a given TANK or PIPE - Arguments: - type is the type of object: MSX_NODE (0) or MSX_LINK (1) - ind is the internal sequence number(starting from 1) assigned to the node or link - param is the sequence number of the parameter (starting from 1 as listed in the MSX input file""" - type_ind = 100 - if type == "MSX_NODE" or type == 0: - type_ind = 0 - if type == "MSX_LINK" or type == 1: - type_ind = 1 - if type_ind == 100: - raise Exception("unrecognized type") - ierr = self.ENlib.MSXsetparameter(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(param), ctypes.c_double(value)) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXsetinitqual(self, type, ind, spe, value): - """Retrieves the initial concentration of a particular chemical species assigned to a specific node - or link of the pipe network. - Arguments: - type is type of object: MSX_NODE (0), MSX_LINK (1) - ind is the internal sequence number (starting from 1) assigned to the node or link - speicies is the sequence number of teh species (starting from 1)""" - type_ind = 100 - if type == "MSX_NODE" or type == 0: - type_ind = 0 - if type == "MSX_LINK" or type == 1: - type_ind = 1 - if type_ind == 100: - raise Exception("unrecognized type") - ierr = self.ENlib.MSXsetinitqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.c_double(value)) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXsetsource(self, node, spe, type_n, level, pat): - """sets the attributes of an external source of a particular chemical species in a specific node of the pipe network - Arguments: - node is the internal sequence number (starting from 1) assigned to the node of interest - species is the sequence number of the species of interest (starting from 1 as listed in the MSX input file) - type is returned with the type of exteernal source and will be one of the following pre-defined constants - MSX_NOSOURCE (-1) no source; MSX_CONCEN (0) a concentration source; MSX_MASS (1) mass booster source; - MSX_SETPOINT (2) setpoint source; MSX_FLOWPACED (3) flow paced source - level is the baseline concentration (or mass flow rate) of the source - pat is the index of the time pattern used to add variability to the source's baseline level (0 if no pattern defined for the source)""" - type_ind = 100 - if type_n == "MSX_NOSOURCE" or type_n == -1: - type_ind = -1 - if type_n == "MSX_CONCEN" or type_n == 0: - type_ind = 0 - if type_n == "MSX_MASS" or type_n == 1: - type_ind = 1 - if type_n == "MSX_SETPOINT" or type_n == 2: - type_ind = 2 - if type_n == "MSX_FLOWPACED" or type_n == 3: - type_ind = 3 - if type_ind == 100: - raise Exception("unrecognized type") - ierr = self.ENlib.MSXsetsource(ctypes.c_int(node), ctypes.c_int(spe), ctypes.c_int(type_ind), ctypes.c_double(level), ctypes.c_int(pat)) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXsetpattern(self, pat, mult): - """assigns a new set of multipliers to a given MSX SOURCE time pattern - Arguments: - pat is the internal sequence number (starting from 1) of the pattern as appears in the MSX input file - mult is an array of multiplier values to replace those preciously used by the pattern - len is the number of entries in mult""" - length = len(mult) - cfactors_type = ctypes.c_double * length - cfactors = cfactors_type() - for i in range(length): - cfactors[i] = float(mult[i]) - ierr = self.ENlib.MSXsetpattern(ctypes.c_int(pat), cfactors, ctypes.c_int(length)) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXsetpatternvalue(self, pat, period, value): - """Sets the multiplier factor for a specific period within a SOURCE time pattern. - Arguments: - index: time pattern index - period: period within time pattern - value: multiplier factor for the period""" - ierr = self.ENlib.MSXsetpatternvalue(ctypes.c_int(pat), ctypes.c_int(period), ctypes.c_double(value)) - if ierr != 0: - raise EpanetMsxException(ierr) - - def MSXaddpattern(self, patternid): - """Adds a new, empty MSX source time pattern to an MSX project. - Arguments: - pattern id: c-string name of pattern""" - ierr = self.ENlib.MSXaddpattern(ctypes.c_char_p(patternid.encode())) - if ierr != 0: - raise EpanetMsxException(ierr) diff --git a/wntr/reaction/variables.py b/wntr/reaction/variables.py index a29ff9b55..aabbbe725 100644 --- a/wntr/reaction/variables.py +++ b/wntr/reaction/variables.py @@ -17,6 +17,20 @@ that will convert object instances of these classes into sympy expressions and symbols. If the instances are linked to a model, then expressions can be expanded, validated, and even evaluated or simplified symbolically. + +.. rubric:: Contents + +.. autosummary:: + + Species + BulkSpecies + WallSpecies + Coefficient + Constant + Parameter + OtherTerm + InternalVariable + """ import enum @@ -25,6 +39,7 @@ from dataclasses import InitVar, asdict, dataclass, field from enum import Enum, IntFlag from typing import Any, ClassVar, Dict, List, Set, Tuple, Union +from .base import MSXComment has_sympy = False try: @@ -47,18 +62,17 @@ RESERVED_NAMES, ExpressionMixin, LinkedVariablesMixin, - MSXComment, - MSXObject, - RxnModelRegistry, - RxnVariable, - RxnVariableType, + MsxObjectMixin, + AbstractReactionModel, + ReactionVariable, + VariableType, ) logger = logging.getLogger(__name__) @dataclass(repr=False) -class Species(MSXObject, LinkedVariablesMixin, RxnVariable): +class Species(MsxObjectMixin, LinkedVariablesMixin, ReactionVariable): units: str """The unit used for this species""" @@ -70,7 +84,7 @@ class Species(MSXObject, LinkedVariablesMixin, RxnVariable): """A note about this species, by default None""" diffusivity: float = None """The diffusivity value for this species, by default None""" - variable_registry: InitVar[RxnModelRegistry] = None + variable_registry: InitVar[AbstractReactionModel] = None def __post_init__(self, atol=None, rtol=None, reaction_model=None): if isinstance(atol, property): @@ -175,24 +189,24 @@ def to_dict(self): @dataclass(repr=False) class BulkSpecies(Species): @property - def var_type(self) -> RxnVariableType: - return RxnVariableType.BULK + def var_type(self) -> VariableType: + return VariableType.BULK @dataclass(repr=False) class WallSpecies(Species): @property - def var_type(self) -> RxnVariableType: - return RxnVariableType.WALL + def var_type(self) -> VariableType: + return VariableType.WALL @dataclass(repr=False) -class Coefficient(MSXObject, LinkedVariablesMixin, RxnVariable): +class Coefficient(MsxObjectMixin, LinkedVariablesMixin, ReactionVariable): global_value: float note: Union[str, Dict[str, str]] = None units: str = None - variable_registry: InitVar[RxnModelRegistry] = None + variable_registry: InitVar[AbstractReactionModel] = None def __post_init__(self, reaction_model): if self.name in RESERVED_NAMES: @@ -232,8 +246,8 @@ def to_dict(self): @dataclass(repr=False) class Constant(Coefficient): @property - def var_type(self) -> RxnVariableType: - return RxnVariableType.CONST + def var_type(self) -> VariableType: + return VariableType.CONST @dataclass(repr=False) @@ -252,8 +266,8 @@ def __post_init__(self, reaction_model): self._tank_values = dict() @property - def var_type(self) -> RxnVariableType: - return RxnVariableType.PARAM + def var_type(self) -> VariableType: + return VariableType.PARAM def get_value(self, pipe: str = None, tank: str = None) -> float: if pipe is not None and tank is not None: @@ -280,7 +294,7 @@ def to_dict(self): @dataclass(repr=False) -class OtherTerm(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnVariable): +class OtherTerm(MsxObjectMixin, LinkedVariablesMixin, ExpressionMixin, ReactionVariable): """A function definition used as a shortcut in reaction expressions (called a 'term' in EPANET-MSX) Parameters @@ -299,7 +313,7 @@ class OtherTerm(MSXObject, LinkedVariablesMixin, ExpressionMixin, RxnVariable): """The expression this named-function is equivalent to""" note: Union[str, Dict[str, str]] = None """A note about this function/term""" - variable_registry: InitVar[RxnModelRegistry] = field(default=None, compare=False) + variable_registry: InitVar[AbstractReactionModel] = field(default=None, compare=False) def __post_init__(self, reaction_model): if self.name in RESERVED_NAMES: @@ -310,8 +324,8 @@ def __repr__(self): return "{}(name={}, expression={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.expression), repr(self.note)) @property - def var_type(self) -> RxnVariableType: - return RxnVariableType.TERM + def var_type(self) -> VariableType: + return VariableType.TERM def to_msx_string(self) -> str: return "{:<8s} {:<64s}".format(self.name, self.expression) @@ -331,7 +345,7 @@ def to_dict(self): @dataclass(repr=False) -class InternalVariable(RxnVariable): +class InternalVariable(ReactionVariable): """A hydraulic variable or a placeholder for a built-in reserved word. For example, "Len" is the EPANET-MSX name for the length of a pipe, and "I" is a sympy @@ -344,5 +358,5 @@ def __repr__(self): return "{}(name={}, note={}, units={})".format(self.__class__.__name__, repr(self.name), repr(self.note), repr(self.units)) @property - def var_type(self) -> RxnVariableType: - return RxnVariableType.INTERNAL + def var_type(self) -> VariableType: + return VariableType.INTERNAL diff --git a/wntr/tests/test_reactions.py b/wntr/tests/test_reaction_variables.py similarity index 53% rename from wntr/tests/test_reactions.py rename to wntr/tests/test_reaction_variables.py index 41d07b098..480cb9a1d 100644 --- a/wntr/tests/test_reactions.py +++ b/wntr/tests/test_reaction_variables.py @@ -24,35 +24,35 @@ def tearDownClass(self): pass def test_ReactionVariable_reserved_name_exception(self): - self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "D", "mg") - self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Q", "mg") - self.assertRaises(ValueError, wntr.reaction.model.Constant, "Re", 0.52) - self.assertRaises(ValueError, wntr.reaction.model.Parameter, "Re", 0.52) - self.assertRaises(ValueError, wntr.reaction.model.OtherTerm, "Re", 0.52) + self.assertRaises(ValueError, wntr.reaction.BulkSpecies, "D", "mg") + self.assertRaises(ValueError, wntr.reaction.WallSpecies, "Q", "mg") + self.assertRaises(ValueError, wntr.reaction.Constant, "Re", 0.52) + self.assertRaises(ValueError, wntr.reaction.Parameter, "Re", 0.52) + self.assertRaises(ValueError, wntr.reaction.OtherTerm, "Re", 0.52) def test_RxnVariable_symbols_and_sympy(self): - species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") + species1 = wntr.reaction.BulkSpecies("Cl", "mg") symbol1 = sympy.symbols("Cl") self.assertEqual(species1.symbol, symbol1) - const1 = wntr.reaction.model.Constant("Kb", 0.482) + const1 = wntr.reaction.Constant("Kb", 0.482) symbol2 = sympy.symbols("Kb") self.assertEqual(const1.symbol, symbol2) - param1 = wntr.reaction.model.Constant("Ka", 0.482) + param1 = wntr.reaction.Constant("Ka", 0.482) symbol3 = sympy.symbols("Ka") self.assertEqual(param1.symbol, symbol3) - term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") symbol4 = sympy.symbols("T0") self.assertEqual(term1.symbol, symbol4) def test_RxnVariable_values(self): - const1 = wntr.reaction.model.Constant("Kb", 0.482, note="test") + const1 = wntr.reaction.Constant("Kb", 0.482, note="test") self.assertEqual(const1.get_value(), const1.global_value) test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.reaction.model.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) + param2 = wntr.reaction.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) self.assertEqual(param2.get_value(), param2.global_value) self.assertEqual(param2.get_value(pipe="PIPE"), test_pipe_dict["PIPE"]) self.assertEqual(param2.get_value(pipe="FOO"), param2.global_value) @@ -60,11 +60,11 @@ def test_RxnVariable_values(self): self.assertRaises(TypeError, param2.get_value, pipe="PIPE", tank="TANK") def test_RxnVariable_string_functions(self): - species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") - species2 = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.model.Constant("Kb", 0.482) - param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + species1 = wntr.reaction.BulkSpecies("Cl", "mg") + species2 = wntr.reaction.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.reaction.Constant("Kb", 0.482) + param1 = wntr.reaction.Parameter("Ka", 0.482, note="foo") + term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(str(species1), "Cl") self.assertEqual(species1.to_msx_string(), "BULK Cl mg ;") @@ -78,8 +78,8 @@ def test_RxnVariable_string_functions(self): def test_Species_tolerances(self): # """RxnSpecies(*s) tolerance settings""" - species1 = wntr.reaction.model.BulkSpecies("Cl", "mg") - species2 = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + species1 = wntr.reaction.BulkSpecies("Cl", "mg") + species2 = wntr.reaction.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") self.assertIsNone(species1.get_tolerances()) self.assertIsNotNone(species2.get_tolerances()) self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) @@ -99,19 +99,19 @@ def test_Species_tolerances(self): def test_BulkSpecies_creation(self): # """BlukSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, "Re") - self.assertRaises(ValueError, wntr.reaction.model.BulkSpecies, "Re", "mg") - self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.reaction.model.BulkSpecies, "Cl", "mg", None, 0.01) - species = wntr.reaction.model.BulkSpecies("Cl", "mg") + self.assertRaises(TypeError, wntr.reaction.BulkSpecies, "Re") + self.assertRaises(ValueError, wntr.reaction.BulkSpecies, "Re", "mg") + self.assertRaises(TypeError, wntr.reaction.BulkSpecies, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.reaction.BulkSpecies, "Cl", "mg", None, 0.01) + species = wntr.reaction.BulkSpecies("Cl", "mg") self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.reaction.model.RxnVariableType.BULK) + self.assertEqual(species.var_type, wntr.reaction.VariableType.BULK) self.assertIsNone(species.atol) self.assertIsNone(species.rtol) self.assertIsNone(species.note) - species = wntr.reaction.model.BulkSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.reaction.model.RxnVariableType.BULK) + species = wntr.reaction.BulkSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.reaction.VariableType.BULK) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species.atol, 0.01) @@ -120,19 +120,19 @@ def test_BulkSpecies_creation(self): def test_WallSpecies_creation(self): # """WallSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, "Re") - self.assertRaises(ValueError, wntr.reaction.model.WallSpecies, "Re", "mg") - self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.reaction.model.WallSpecies, "Cl", "mg", None, 0.01) - species = wntr.reaction.model.WallSpecies("Cl", "mg") + self.assertRaises(TypeError, wntr.reaction.WallSpecies, "Re") + self.assertRaises(ValueError, wntr.reaction.WallSpecies, "Re", "mg") + self.assertRaises(TypeError, wntr.reaction.WallSpecies, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.reaction.WallSpecies, "Cl", "mg", None, 0.01) + species = wntr.reaction.WallSpecies("Cl", "mg") self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.reaction.model.RxnVariableType.WALL) + self.assertEqual(species.var_type, wntr.reaction.VariableType.WALL) self.assertIsNone(species.atol) self.assertIsNone(species.rtol) self.assertIsNone(species.note) - species = wntr.reaction.model.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.reaction.model.RxnVariableType.WALL) + species = wntr.reaction.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.reaction.VariableType.WALL) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species.atol, 0.01) @@ -140,78 +140,78 @@ def test_WallSpecies_creation(self): self.assertEqual(species.note, "Testing stuff") def test_Constant_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.Constant, "Re") - self.assertRaises(ValueError, wntr.reaction.model.Constant, "Re", 2.48) - const1 = wntr.reaction.model.Constant("Kb", 0.482, note="test") + self.assertRaises(TypeError, wntr.reaction.Constant, "Re") + self.assertRaises(ValueError, wntr.reaction.Constant, "Re", 2.48) + const1 = wntr.reaction.Constant("Kb", 0.482, note="test") # FIXME: Find a way to suppress warning printing - # self.assertWarns(RuntimeWarning, wntr.reaction.model.Constant, 'Kb1', 0.83, pipe_values={'a',1}) + # self.assertWarns(RuntimeWarning, wntr.reaction.Constant, 'Kb1', 0.83, pipe_values={'a',1}) self.assertEqual(const1.name, "Kb") self.assertEqual(const1.global_value, 0.482) self.assertEqual(const1.get_value(), const1.global_value) - self.assertEqual(const1.var_type, wntr.reaction.model.RxnVariableType.CONST) + self.assertEqual(const1.var_type, wntr.reaction.VariableType.CONST) self.assertEqual(const1.note, "test") def test_Parameter_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.Parameter, "Re") - self.assertRaises(ValueError, wntr.reaction.model.Parameter, "Re", 2.48) - param1 = wntr.reaction.model.Parameter("Kb", 0.482, note="test") + self.assertRaises(TypeError, wntr.reaction.Parameter, "Re") + self.assertRaises(ValueError, wntr.reaction.Parameter, "Re", 2.48) + param1 = wntr.reaction.Parameter("Kb", 0.482, note="test") self.assertEqual(param1.name, "Kb") self.assertEqual(param1.global_value, 0.482) self.assertEqual(param1.get_value(), param1.global_value) - self.assertEqual(param1.var_type, wntr.reaction.model.RxnVariableType.PARAM) + self.assertEqual(param1.var_type, wntr.reaction.VariableType.PARAM) self.assertEqual(param1.note, "test") test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.reaction.model.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) + param2 = wntr.reaction.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) self.assertDictEqual(param2.pipe_values, test_pipe_dict) self.assertDictEqual(param2.tank_values, test_tank_dict) def test_RxnTerm_creation(self): - self.assertRaises(TypeError, wntr.reaction.model.OtherTerm, "Re") - self.assertRaises(ValueError, wntr.reaction.model.OtherTerm, "Re", "1.0*Re") - term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + self.assertRaises(TypeError, wntr.reaction.OtherTerm, "Re") + self.assertRaises(ValueError, wntr.reaction.OtherTerm, "Re", "1.0*Re") + term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(term1.name, "T0") self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") - self.assertEqual(term1.var_type, wntr.reaction.model.RxnVariableType.TERM) + self.assertEqual(term1.var_type, wntr.reaction.VariableType.TERM) self.assertEqual(term1.note, "bar") def test_RxnExpression_strings(self): - equil1 = wntr.reaction.model.EquilibriumDynamics("Cl", wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.reaction.model.RateDynamics("Cl", wntr.reaction.model.RxnLocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.reaction.model.FormulaDynamics("Cl", wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.reaction.EquilibriumDynamics("Cl", wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.reaction.RateDynamics("Cl", wntr.reaction.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.reaction.FormulaDynamics("Cl", wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.to_msx_string(), "EQUIL Cl -Ka + Kb * Cl + T0 ;") self.assertEqual(rate1.to_msx_string(), "RATE Cl -Ka + Kb * Cl + T0 ;Foo Bar") self.assertEqual(formula1.to_msx_string(), "FORMULA Cl -Ka + Kb * Cl + T0 ;") def test_Equilibrium_creation(self): - equil1 = wntr.reaction.model.EquilibriumDynamics("Cl", wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.reaction.EquilibriumDynamics("Cl", wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.species, "Cl") self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.expr_type, wntr.reaction.model.RxnDynamicsType.EQUIL) + self.assertEqual(equil1.expr_type, wntr.reaction.DynamicsType.EQUIL) def test_Rate_creation(self): - rate1 = wntr.reaction.model.RateDynamics("Cl", wntr.reaction.model.RxnLocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + rate1 = wntr.reaction.RateDynamics("Cl", wntr.reaction.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") self.assertEqual(rate1.species, "Cl") self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(rate1.expr_type, wntr.reaction.model.RxnDynamicsType.RATE) + self.assertEqual(rate1.expr_type, wntr.reaction.DynamicsType.RATE) self.assertEqual(rate1.note, "Foo Bar") def test_Formula_creation(self): - formula1 = wntr.reaction.model.FormulaDynamics("Cl", wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") + formula1 = wntr.reaction.FormulaDynamics("Cl", wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(formula1.species, "Cl") self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.expr_type, wntr.reaction.model.RxnDynamicsType.FORMULA) + self.assertEqual(formula1.expr_type, wntr.reaction.DynamicsType.FORMULA) def test_WaterQualityReactionsModel_creation_specific_everything(self): - rxn_model1 = wntr.reaction.model.WaterQualityReactionsModel() - bulk1 = wntr.reaction.model.BulkSpecies("Cl", "mg") - wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.model.Constant("Kb", 0.482) - param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - equil1 = wntr.reaction.model.EquilibriumDynamics(bulk1, wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.reaction.model.RateDynamics(bulk1, wntr.reaction.model.RxnLocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.reaction.model.FormulaDynamics(wall1, wntr.reaction.model.RxnLocationType.PIPE, "-Ka + Kb * Cl + T0") + rxn_model1 = wntr.reaction.MultispeciesReactionModel() + bulk1 = wntr.reaction.BulkSpecies("Cl", "mg") + wall1 = wntr.reaction.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.reaction.Constant("Kb", 0.482) + param1 = wntr.reaction.Parameter("Ka", 0.482, note="foo") + term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + equil1 = wntr.reaction.EquilibriumDynamics(bulk1, wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.reaction.RateDynamics(bulk1, wntr.reaction.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.reaction.FormulaDynamics(wall1, wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") bulk2 = rxn_model1.add_bulk_species("Cl", "mg") wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") @@ -219,7 +219,7 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): param2 = rxn_model1.add_parameterized_coeff("Ka", 0.482, note="foo") term2 = rxn_model1.add_other_term("T0", "-3.2 * Kb * Cl^2", note="bar") equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") - rate2 = rxn_model1.add_tank_reaction("Cl", wntr.reaction.model.RxnDynamicsType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") + rate2 = rxn_model1.add_tank_reaction("Cl", wntr.reaction.DynamicsType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") formula2 = rxn_model1.add_reaction("PIPE", "ClOH", "formula", "-Ka + Kb * Cl + T0") self.assertEqual(bulk1, bulk2) self.assertEqual(wall1, wall2) @@ -231,22 +231,22 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): # self.assertEqual(formula1, formula2) def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): - bulk1 = wntr.reaction.model.BulkSpecies("Cl", "mg") - wall1 = wntr.reaction.model.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.model.Constant("Kb", 0.482) - param1 = wntr.reaction.model.Parameter("Ka", 0.482, note="foo") - term1 = wntr.reaction.model.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + bulk1 = wntr.reaction.BulkSpecies("Cl", "mg") + wall1 = wntr.reaction.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.reaction.Constant("Kb", 0.482) + param1 = wntr.reaction.Parameter("Ka", 0.482, note="foo") + term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - rxn_model2 = wntr.reaction.model.WaterQualityReactionsModel() + rxn_model2 = wntr.reaction.MultispeciesReactionModel() - self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.model.RxnVariableType.CONST, "Cl", "mg") + self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.VariableType.CONST, "Cl", "mg") self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) bulk3 = rxn_model2.add_species("BULK", "Cl", "mg") - wall3 = rxn_model2.add_species(wntr.reaction.model.RxnVariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + wall3 = rxn_model2.add_species(wntr.reaction.VariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) - param3 = rxn_model2.add_coefficient(wntr.reaction.model.RxnVariableType.P, "Ka", 0.482, note="foo") + param3 = rxn_model2.add_coefficient(wntr.reaction.VariableType.P, "Ka", 0.482, note="foo") self.assertEqual(bulk3, bulk1) self.assertEqual(wall3, wall1) diff --git a/wntr/utils/disjoint_mapping.py b/wntr/utils/disjoint_mapping.py new file mode 100644 index 000000000..fb767057d --- /dev/null +++ b/wntr/utils/disjoint_mapping.py @@ -0,0 +1,207 @@ +# coding: utf-8 +"""A set of utility classes that is similar to the 'registry' objects in the wntr.network +class, but more general, and therefore usable for other extensions, such as multispecies +reaction modeling. +""" + +from collections.abc import MutableMapping +from typing import Any, Dict, Hashable, ItemsView, Iterator, KeysView, Set, ValuesView + + +class WrongGroupError(KeyError): + """The key exists but is in a different disjoint group""" + + pass + + +class KeyExistsError(KeyError): + """The name already exists in the reaction model""" + + pass + + +class DisjointMapping(MutableMapping): + """A mapping with keys that are also divided into disjoint groups of keys. + + The main purpose of this utility class is to perform implicit name collision checking + while also allowing both the groups and the main dictionary to be used as dictionaries + -- i.e., using `__*item__` methods and `mydict[key]` methods. + """ + + __data: Dict[Hashable, Hashable] = None + __key_groupnames: Dict[Hashable, str] = None + __groups: Dict[str, "DisjointMappingGroup"] = None + __usage: Dict[Hashable, Set[Any]] = None + + def __init__(self, *args, **kwargs): + self.__data: Dict[Hashable, Any] = dict(*args, **kwargs) + self.__key_groupnames: Dict[Hashable, str] = dict() + self.__groups: Dict[str, "DisjointMappingGroup"] = dict() + self.__usage: Dict[Hashable, Set[Any]] = dict() + for k, v in self.__data.items(): + self.__key_groupnames[k] = None + self.__usage[k] = set() + + def add_disjoint_group(self, name): + if name in self.__groups.keys(): + raise KeyError("Disjoint group already exists within registry") + new = DisjointMappingGroup(name, self) + self.__groups.__setitem__(name, new) + return new + + def get_disjoint_group(self, name: str): + return self.__groups[name] + + def get_groupname(self, __key: Hashable): + return self.__key_groupnames[__key] + + def add_item_to_group(self, groupname, key, value): + current = self.__key_groupnames.get(key, None) + if current is not None and groupname != current: + raise WrongGroupError("The key '{}' is already used in a different group '{}'".format(key, groupname)) + if groupname is not None: + group = self.__groups[groupname] + group._data.__setitem__(key, value) + self.__key_groupnames[key] = groupname + return self.__data.__setitem__(key, value) + + def move_item_to_group(self, new_group_name, key): + value = self.__data[key] + current = self.get_groupname(key) + if new_group_name is not None: + new_group = self.__groups[new_group_name] + new_group._data[key] = value + if current is not None: + old_group = self.__groups[current] + old_group._data.__delitem__(key) + self.__key_groupnames[key] = new_group_name + + def remove_item_from_group(self, groupname, key): + current = self.__key_groupnames.get(key, None) + if groupname != current: + raise WrongGroupError("The key '{}' is in a different group '{}'".format(key, groupname)) + if groupname is not None: + self.__groups[groupname]._data.__delitem__(key) + + def __getitem__(self, __key: Any) -> Any: + return self.__data.__getitem__(__key) + + def __setitem__(self, __key: Any, __value: Any) -> None: + current = self.__key_groupnames.get(__key, None) + if current is not None: + self.__groups[current]._data[__key] = __value + return self.__data.__setitem__(__key, __value) + + def __delitem__(self, __key: Any) -> None: + current = self.__key_groupnames.get(__key, None) + if current is not None: + self.__groups[current]._data.__delitem__(__key) + return self.__data.__delitem__(__key) + + def __contains__(self, __key: object) -> bool: + return self.__data.__contains__(__key) + + def __iter__(self) -> Iterator: + return self.__data.__iter__() + + def __len__(self) -> int: + return self.__data.__len__() + + def keys(self) -> KeysView: + return self.__data.keys() + + def items(self) -> ItemsView: + return self.__data.items() + + def values(self) -> ValuesView: + return self.__data.values() + + def clear(self) -> None: + raise RuntimeError("You cannot clear this") + + def popitem(self) -> tuple: + raise RuntimeError("You cannot pop this") + + +class DisjointMappingGroup(MutableMapping): + """A dictionary that checks a namespace for existing entries. + + To create a new instance, pass a set to act as a namespace. If the namespace does not + exist, a new namespace will be instantiated. If it does exist, then a new, disjoint + dictionary will be created that checks the namespace keys before it will allow a new + item to be added to the dictionary. An item can only belong to one of the disjoint dictionaries + associated with the namespace. + + Examples + -------- + Assume there is a namespace `nodes` that has two distinct subsets of objects, `tanks` + and `reservoirs`. A name for a tank cannot also be used for a reservoir, and a node + cannot be both a `tank` and a `reservoir`. A DisjointNamespaceDict allows two separate + dictionaries to be kept, one for each subtype, but the keys within the two dictionaries + will be ensured to not overlap. + + Parameters + ---------- + __keyspace : set + the name of the namespace for consistency checking + args, kwargs : Any + regular arguments and keyword arguments passed to the underlying dictionary + + """ + + __name: str = None + __keyspace: "DisjointMapping" = None + _data: dict = None + + def __new__(cls, name: str, __keyspace: "DisjointMapping"): + if name is None: + raise TypeError("A name must be specified") + if __keyspace is None: + raise TypeError("A registry must be specified") + newobj = super().__new__(cls) + return newobj + + def __init__(self, name: str, __keyspace: "DisjointMapping"): + if name is None: + raise TypeError("A name must be specified") + if __keyspace is None: + raise TypeError("A registry must be specified") + self.__name: str = name + self.__keyspace: DisjointMapping = __keyspace + self._data = dict() + + def __getitem__(self, __key: Any) -> Any: + return self._data[__key] + + def __setitem__(self, __key: Any, __value: Any) -> None: + return self.__keyspace.add_item_to_group(self.__name, __key, __value) + + def __delitem__(self, __key: Any) -> None: + return self.__keyspace.remove_item_from_group(self.__name, __key) + + def __contains__(self, __key: object) -> bool: + return self._data.__contains__(__key) + + def __iter__(self) -> Iterator: + return self._data.__iter__() + + def __len__(self) -> int: + return self._data.__len__() + + def keys(self) -> KeysView: + return self._data.keys() + + def items(self) -> ItemsView: + return self._data.items() + + def values(self) -> ValuesView: + return self._data.values() + + def clear(self) -> None: + raise RuntimeError("Cannot clear a group") + + def popitem(self) -> tuple: + raise RuntimeError("Cannot pop from a group") + + def __repr__(self) -> str: + return "{}(name={}, data={})".format(self.__class__.__name__, repr(self.__name), self._data) diff --git a/wntr/utils/enumtools.py b/wntr/utils/enumtools.py new file mode 100644 index 000000000..8dc847265 --- /dev/null +++ b/wntr/utils/enumtools.py @@ -0,0 +1,119 @@ +# coding: utf-8 +"""Decorators for use with enum classes. +""" + +from enum import Enum +from typing import Union +import functools + +def add_get(cls=None, *, prefix=None, abbrev=False): + """Decorator that will add a ``get()`` classmethod to an enum class. + + The get method behaves as follows. + For an integer, the integer value will be used to select the proper member. + For an :class:`Enum` object, the object's ``name`` will be used, and it will + be processed as a string. For a string, the method will: + + * capitalize the string + * remove leading or trailing spaces + * convert interior spaces or dashes to underscores + * optionally, remove a specified prefix from a string (using ``prefix``) + * optionally, try removing all letters except the first (if ``abbrev``) + + It will then try to get the member with the name corresponding to the converted + string. If ``abbrev`` is True, then the string will be truncated after trying + to use the full string as passed in. + + + Parameters + ---------- + prefix : str, optional + A prefix to strip off any string values passed in, by default None + abbrev : bool, optional + Allow truncating to the first character for checks, by default False + + + Returns + ------- + class + the modified class + """ + if prefix is None: + prefix = '' + if abbrev is None: + abbrev = False + if cls is None: + return functools.partial(add_get, prefix=prefix, abbrev=abbrev) + + @functools.wraps(cls) + def wrap(cls, prefix, abbrev): + + def get(cls, value: Union[str, int, Enum], prefix='', abbrev=False): + """Get the proper enum based on the name or value of the argument. + + For an integer, the integer value will be used to select the proper member. + If the value is the same class as this class, it will be returned unchanged. + For an :class:`Enum` object, the object's ``name`` will be used, and it will + be processed as a string. For a string, the method will: + + * capitalize the string + * remove leading or trailing spaces + * convert interior spaces or dashes to underscores + * optionally, remove a specified prefix from a string (using ``prefix``) + * optionally, try removing all letters except the first (if ``abbrev``) + + It will then try to get the member with the name corresponding to the converted + string. If ``abbrev`` is True, then the string will be truncated after trying + to use the full string as passed in. + + Parameters + ---------- + value : Union[str, int, Enum] + the value to be checked, if it is an Enum, then the name will be used + + Returns + ------- + Enum + the enum member that corresponds to the name or value passed in + + Raises + ------ + TypeError + if ``value`` is an invalid type + ValueError + if ``value`` is invalid + """ + name = str(value) + if isinstance(value, cls): + return value + elif isinstance(value, int): + return cls(value) + elif isinstance(value, str): + name = value.upper().strip().replace('-', '_').replace(' ', '_') + if name.startswith(prefix): + name = name[len(prefix):] + elif isinstance(value, Enum): + name = str(value.name).upper().strip().replace('-', '_').replace(' ', '_') + if name.startswith(prefix): + name = name[len(prefix):] + else: + raise TypeError('Invalid type for value: %s'%type(value)) + if abbrev: + try: + return cls[name] + except KeyError as e: + try: + return cls[name[0]] + except KeyError: + raise ValueError(repr(value)) from e + else: + try: + return cls[name] + except KeyError as e: + raise ValueError(repr(value)) from e + + setattr(cls, "get", classmethod(functools.partial(get, prefix=prefix, abbrev=abbrev))) + return cls + + return wrap(cls, prefix, abbrev) + From 51f2a7c07b60af3fa707149e0790183edb53198b Mon Sep 17 00:00:00 2001 From: dbhart Date: Wed, 20 Sep 2023 09:47:53 -0600 Subject: [PATCH 025/118] Rename --- documentation/apidoc/wntr.epanet.msx.rst | 7 +- documentation/apidoc/wntr.epanet.rst | 1 + documentation/apidoc/wntr.quality.base.rst | 7 + ....options.rst => wntr.quality.dynamics.rst} | 4 +- documentation/apidoc/wntr.quality.io.rst | 7 + documentation/apidoc/wntr.quality.library.rst | 7 + documentation/apidoc/wntr.quality.model.rst | 7 + documentation/apidoc/wntr.quality.options.rst | 7 + documentation/apidoc/wntr.quality.rst | 22 +++ .../apidoc/wntr.quality.variables.rst | 7 + documentation/apidoc/wntr.reaction.base.rst | 7 - .../apidoc/wntr.reaction.dynamics.rst | 7 - documentation/apidoc/wntr.reaction.io.rst | 7 - .../apidoc/wntr.reaction.library.rst | 7 - documentation/apidoc/wntr.reaction.model.rst | 7 - documentation/apidoc/wntr.reaction.rst | 22 --- .../apidoc/wntr.reaction.variables.rst | 7 - documentation/apidoc/wntr.rst | 2 +- documentation/apidoc/wntr.utils.enumtools.rst | 7 + documentation/apidoc/wntr.utils.rst | 1 + wntr/__init__.py | 2 +- wntr/epanet/msx/io.py | 82 ++++++++-- wntr/{reaction => quality}/__init__.py | 0 wntr/{reaction => quality}/base.py | 2 +- wntr/{reaction => quality}/dynamics.py | 2 +- wntr/{reaction => quality}/io.py | 0 wntr/{reaction => quality}/library.py | 2 +- wntr/{reaction => quality}/model.py | 6 +- wntr/{reaction => quality}/options.py | 0 wntr/{reaction => quality}/variables.py | 2 +- ...variables.py => test_quality_variables.py} | 152 +++++++++--------- wntr/utils/enumtools.py | 43 +++-- 32 files changed, 256 insertions(+), 187 deletions(-) create mode 100644 documentation/apidoc/wntr.quality.base.rst rename documentation/apidoc/{wntr.reaction.options.rst => wntr.quality.dynamics.rst} (55%) create mode 100644 documentation/apidoc/wntr.quality.io.rst create mode 100644 documentation/apidoc/wntr.quality.library.rst create mode 100644 documentation/apidoc/wntr.quality.model.rst create mode 100644 documentation/apidoc/wntr.quality.options.rst create mode 100644 documentation/apidoc/wntr.quality.rst create mode 100644 documentation/apidoc/wntr.quality.variables.rst delete mode 100644 documentation/apidoc/wntr.reaction.base.rst delete mode 100644 documentation/apidoc/wntr.reaction.dynamics.rst delete mode 100644 documentation/apidoc/wntr.reaction.io.rst delete mode 100644 documentation/apidoc/wntr.reaction.library.rst delete mode 100644 documentation/apidoc/wntr.reaction.model.rst delete mode 100644 documentation/apidoc/wntr.reaction.rst delete mode 100644 documentation/apidoc/wntr.reaction.variables.rst create mode 100644 documentation/apidoc/wntr.utils.enumtools.rst rename wntr/{reaction => quality}/__init__.py (100%) rename wntr/{reaction => quality}/base.py (99%) rename wntr/{reaction => quality}/dynamics.py (99%) rename wntr/{reaction => quality}/io.py (100%) rename wntr/{reaction => quality}/library.py (99%) rename wntr/{reaction => quality}/model.py (99%) rename wntr/{reaction => quality}/options.py (100%) rename wntr/{reaction => quality}/variables.py (99%) rename wntr/tests/{test_reaction_variables.py => test_quality_variables.py} (56%) diff --git a/documentation/apidoc/wntr.epanet.msx.rst b/documentation/apidoc/wntr.epanet.msx.rst index 0e115a092..83be9381a 100644 --- a/documentation/apidoc/wntr.epanet.msx.rst +++ b/documentation/apidoc/wntr.epanet.msx.rst @@ -1,16 +1,17 @@ -wntr.epanet.msx module +wntr.epanet.msx module ====================== .. automodule:: wntr.epanet.msx :members: :no-undoc-members: :show-inheritance: - - + + Submodules ---------- .. toctree:: + :maxdepth: 1 wntr.epanet.msx.enums wntr.epanet.msx.exceptions diff --git a/documentation/apidoc/wntr.epanet.rst b/documentation/apidoc/wntr.epanet.rst index 501523332..a4fc3f35d 100644 --- a/documentation/apidoc/wntr.epanet.rst +++ b/documentation/apidoc/wntr.epanet.rst @@ -11,6 +11,7 @@ Submodules ---------- .. toctree:: + :maxdepth: 1 wntr.epanet.exceptions wntr.epanet.io diff --git a/documentation/apidoc/wntr.quality.base.rst b/documentation/apidoc/wntr.quality.base.rst new file mode 100644 index 000000000..d3cc5ff4b --- /dev/null +++ b/documentation/apidoc/wntr.quality.base.rst @@ -0,0 +1,7 @@ +wntr.quality.base module +======================== + +.. automodule:: wntr.quality.base + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.options.rst b/documentation/apidoc/wntr.quality.dynamics.rst similarity index 55% rename from documentation/apidoc/wntr.reaction.options.rst rename to documentation/apidoc/wntr.quality.dynamics.rst index 8d461d5b6..ef3204fe1 100644 --- a/documentation/apidoc/wntr.reaction.options.rst +++ b/documentation/apidoc/wntr.quality.dynamics.rst @@ -1,7 +1,7 @@ -wntr.reaction.options module +wntr.quality.dynamics module ============================ -.. automodule:: wntr.reaction.options +.. automodule:: wntr.reaction.quality :members: :undoc-members: :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.io.rst b/documentation/apidoc/wntr.quality.io.rst new file mode 100644 index 000000000..117eedad9 --- /dev/null +++ b/documentation/apidoc/wntr.quality.io.rst @@ -0,0 +1,7 @@ +wntr.quality.io module +====================== + +.. automodule:: wntr.quality.io + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.library.rst b/documentation/apidoc/wntr.quality.library.rst new file mode 100644 index 000000000..b7ea696fa --- /dev/null +++ b/documentation/apidoc/wntr.quality.library.rst @@ -0,0 +1,7 @@ +wntr.quality.library module +=========================== + +.. automodule:: wntr.quality.library + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.model.rst b/documentation/apidoc/wntr.quality.model.rst new file mode 100644 index 000000000..907115f17 --- /dev/null +++ b/documentation/apidoc/wntr.quality.model.rst @@ -0,0 +1,7 @@ +wntr.quality.model module +========================= + +.. automodule:: wntr.quality.model + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.options.rst b/documentation/apidoc/wntr.quality.options.rst new file mode 100644 index 000000000..e492fec10 --- /dev/null +++ b/documentation/apidoc/wntr.quality.options.rst @@ -0,0 +1,7 @@ +wntr.quality.options module +=========================== + +.. automodule:: wntr.quality.options + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.rst b/documentation/apidoc/wntr.quality.rst new file mode 100644 index 000000000..0078e1b6e --- /dev/null +++ b/documentation/apidoc/wntr.quality.rst @@ -0,0 +1,22 @@ +wntr.quality package +==================== + +.. automodule:: wntr.quality + :members: + :undoc-members: + :show-inheritance: + + +Submodules +---------- + +.. toctree:: + :maxdepth: 1 + + wntr.quality.base + wntr.quality.dynamics + wntr.quality.io + wntr.quality.library + wntr.quality.model + wntr.quality.options + wntr.quality.variables diff --git a/documentation/apidoc/wntr.quality.variables.rst b/documentation/apidoc/wntr.quality.variables.rst new file mode 100644 index 000000000..a7efc4617 --- /dev/null +++ b/documentation/apidoc/wntr.quality.variables.rst @@ -0,0 +1,7 @@ +wntr.quality.variables module +============================= + +.. automodule:: wntr.quality.variables + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.base.rst b/documentation/apidoc/wntr.reaction.base.rst deleted file mode 100644 index 6263973e7..000000000 --- a/documentation/apidoc/wntr.reaction.base.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.reaction.base module -========================== - -.. automodule:: wntr.reaction.base - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.dynamics.rst b/documentation/apidoc/wntr.reaction.dynamics.rst deleted file mode 100644 index a1f8ae82a..000000000 --- a/documentation/apidoc/wntr.reaction.dynamics.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.reaction.dynamics module -============================== - -.. automodule:: wntr.reaction.dynamics - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.io.rst b/documentation/apidoc/wntr.reaction.io.rst deleted file mode 100644 index de42d9c04..000000000 --- a/documentation/apidoc/wntr.reaction.io.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.reaction.io module -======================= - -.. automodule:: wntr.reaction.io - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.library.rst b/documentation/apidoc/wntr.reaction.library.rst deleted file mode 100644 index 730e22bce..000000000 --- a/documentation/apidoc/wntr.reaction.library.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.reaction.library module -============================ - -.. automodule:: wntr.reaction.library - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.model.rst b/documentation/apidoc/wntr.reaction.model.rst deleted file mode 100644 index 774082841..000000000 --- a/documentation/apidoc/wntr.reaction.model.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.reaction.model module -========================== - -.. automodule:: wntr.reaction.model - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.reaction.rst b/documentation/apidoc/wntr.reaction.rst deleted file mode 100644 index 96221653a..000000000 --- a/documentation/apidoc/wntr.reaction.rst +++ /dev/null @@ -1,22 +0,0 @@ -wntr.reaction package -===================== - -.. automodule:: wntr.reaction - :members: - :undoc-members: - :show-inheritance: - - -Submodules ----------- - -.. toctree:: - :maxdepth: 4 - - wntr.reaction.base - wntr.reaction.dynamics - wntr.reaction.io - wntr.reaction.library - wntr.reaction.model - wntr.reaction.options - wntr.reaction.variables diff --git a/documentation/apidoc/wntr.reaction.variables.rst b/documentation/apidoc/wntr.reaction.variables.rst deleted file mode 100644 index 9a7d32b2e..000000000 --- a/documentation/apidoc/wntr.reaction.variables.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.reaction.variables module -============================== - -.. automodule:: wntr.reaction.variables - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.rst b/documentation/apidoc/wntr.rst index 6b203c464..4b5369d1b 100644 --- a/documentation/apidoc/wntr.rst +++ b/documentation/apidoc/wntr.rst @@ -20,7 +20,7 @@ Subpackages wntr.metrics wntr.morph wntr.network - wntr.reaction + wntr.quality wntr.scenario wntr.sim wntr.utils diff --git a/documentation/apidoc/wntr.utils.enumtools.rst b/documentation/apidoc/wntr.utils.enumtools.rst new file mode 100644 index 000000000..c856c713c --- /dev/null +++ b/documentation/apidoc/wntr.utils.enumtools.rst @@ -0,0 +1,7 @@ +wntr.utils.enumtools module +=========================== + +.. automodule:: wntr.utils.enumtools + :members: + :no-undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.rst b/documentation/apidoc/wntr.utils.rst index a2b0893fe..14eef2793 100644 --- a/documentation/apidoc/wntr.utils.rst +++ b/documentation/apidoc/wntr.utils.rst @@ -14,5 +14,6 @@ Submodules wntr.utils.citations wntr.utils.disjoint_mapping + wntr.utils.enumtools wntr.utils.logger wntr.utils.ordered_set diff --git a/wntr/__init__.py b/wntr/__init__.py index 80e030a5a..ae9d24d5a 100644 --- a/wntr/__init__.py +++ b/wntr/__init__.py @@ -7,7 +7,7 @@ from wntr import graphics from wntr import gis from wntr import utils -from wntr import reaction +from wntr import quality __version__ = '1.0.0' diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index 5273f91a0..9ef37a66a 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -6,11 +6,11 @@ import sys from wntr.network.elements import Source -from wntr.reaction.base import LocationType, VariableType -from wntr.reaction.base import MSXComment -from wntr.reaction.model import MultispeciesReactionModel +from wntr.quality.base import LocationType, VariableType +from wntr.quality.base import MSXComment +from wntr.quality.model import MultispeciesReactionModel from wntr.epanet.msx.exceptions import EpanetMsxException -from wntr.reaction.variables import Parameter, Species +from wntr.quality.variables import Parameter, Species from wntr.utils.citations import Citation sys_default_enc = sys.getdefaultencoding() @@ -748,10 +748,74 @@ def _write_report(self, fout): fout.write(" PAGESIZE {}\n".format(self.rxn._options.report.pagesize)) fout.write("\n") +import wntr.network +import numpy as np +import pandas as pd + +def MsxBinFile(filename, wn: wntr.network.WaterNetworkModel): + duration = int(wn.options.time.duration) + + with open(filename, 'rb') as fin: + ftype = '=f4' + idlen = 32 + prolog = np.fromfile(fin, dtype = np.int32, count=6) + magic1 = prolog[0] + version = prolog[1] + nnodes = prolog[2] + nlinks = prolog[3] + nspecies = prolog[4] + reportstep = prolog[5] + species_list = [] + node_list = wn.node_name_list + link_list = wn.link_name_list + + for i in range(nspecies): + species_len = int(np.fromfile(fin, dtype = np.int32, count=1)) + species_name = ''.join(chr(f) for f in np.fromfile(fin, dtype = np.uint8, count=species_len) if f!=0) + species_list.append(species_name) + species_mass = [] + for i in range(nspecies): + species_mass.append(''.join(chr(f) for f in np.fromfile(fin, dtype = np.uint8, count=16) if f != 0)) + timerange = range(0, duration+1, reportstep) + + tr = len(timerange) + + row1 = ['node']*nnodes*len(species_list)+['link']*nlinks*len(species_list) + row2 = [] + for i in [nnodes,nlinks]: + for j in species_list: + row2.append([j]*i) + row2 = [y for x in row2 for y in x] + row3 = [node_list for i in species_list] + [link_list for i in species_list] + row3 = [y for x in row3 for y in x] + + tuples = list(zip(row1, row2, row3)) + index = pd.MultiIndex.from_tuples(tuples, names = ['type','species','name']) + + try: + data = np.fromfile(fin, dtype = np.dtype(ftype), count = tr*(len(species_list*(nnodes + nlinks)))) + data = np.reshape(data, (tr, len(species_list*(nnodes + nlinks)))) + except Exception as e: + print(e) + print ("oops") + + postlog = np.fromfile(fin, dtype = np.int32, count=4) + offset = postlog[0] + numreport = postlog[1] + errorcode = postlog[2] + magicnew = postlog[3] + if errorcode !=0: + print(f'ERROR CODE: {errorcode}') + print(offset, numreport) + + df_fin = pd.DataFrame(index=index, columns=timerange).transpose() + if magic1 == magicnew: + # print("Magic# Match") + df_fin = pd.DataFrame(data.transpose(), index=index, columns=timerange) + df_fin = df_fin.transpose() + + else: + print("Magic#s do not match!") + return df_fin -class MsxBinFile(object): - def __init__(self): - pass - def read(self, filename): - pass diff --git a/wntr/reaction/__init__.py b/wntr/quality/__init__.py similarity index 100% rename from wntr/reaction/__init__.py rename to wntr/quality/__init__.py diff --git a/wntr/reaction/base.py b/wntr/quality/base.py similarity index 99% rename from wntr/reaction/base.py rename to wntr/quality/base.py index e795d8256..9d63da4fd 100644 --- a/wntr/reaction/base.py +++ b/wntr/quality/base.py @@ -52,7 +52,7 @@ from wntr.network.model import WaterNetworkModel from wntr.utils.enumtools import add_get -from wntr.reaction.options import MultispeciesOptions +from wntr.quality.options import MultispeciesOptions logger = logging.getLogger(__name__) diff --git a/wntr/reaction/dynamics.py b/wntr/quality/dynamics.py similarity index 99% rename from wntr/reaction/dynamics.py rename to wntr/quality/dynamics.py index 3f64d50fc..1de155200 100644 --- a/wntr/reaction/dynamics.py +++ b/wntr/quality/dynamics.py @@ -61,7 +61,7 @@ has_sympy = False from wntr.network.model import WaterNetworkModel -from wntr.reaction.base import EXPR_TRANSFORMS, MsxObjectMixin, VariableType +from wntr.quality.base import EXPR_TRANSFORMS, MsxObjectMixin, VariableType from .base import ( ExpressionMixin, diff --git a/wntr/reaction/io.py b/wntr/quality/io.py similarity index 100% rename from wntr/reaction/io.py rename to wntr/quality/io.py diff --git a/wntr/reaction/library.py b/wntr/quality/library.py similarity index 99% rename from wntr/reaction/library.py rename to wntr/quality/library.py index 553be9993..57abef32c 100644 --- a/wntr/reaction/library.py +++ b/wntr/quality/library.py @@ -20,7 +20,7 @@ import logging from wntr.utils.citations import Citation -from wntr.reaction.model import MultispeciesReactionModel +from wntr.quality.model import MultispeciesReactionModel logger = logging.getLogger(__name__) diff --git a/wntr/reaction/model.py b/wntr/quality/model.py similarity index 99% rename from wntr/reaction/model.py rename to wntr/quality/model.py index f1984b225..2a361a479 100644 --- a/wntr/reaction/model.py +++ b/wntr/quality/model.py @@ -46,7 +46,7 @@ convert_xor = None has_sympy = False -import wntr.reaction.io +import wntr.quality.io from wntr.network.model import WaterNetworkModel from wntr.utils.citations import Citation @@ -776,11 +776,11 @@ def add_pattern(self, name, pat): def to_dict(self) -> dict: """Convert this water quality model to a dictionary""" - wntr.reaction.io.to_dict() + wntr.quality.io.to_dict() def from_dict(self, d) -> dict: """Append to this water quality model from a dictionary""" - wntr.reaction.io.from_dict(d, append=self) + wntr.quality.io.from_dict(d, append=self) def __repr__(self): if self._msxfile or self.name: diff --git a/wntr/reaction/options.py b/wntr/quality/options.py similarity index 100% rename from wntr/reaction/options.py rename to wntr/quality/options.py diff --git a/wntr/reaction/variables.py b/wntr/quality/variables.py similarity index 99% rename from wntr/reaction/variables.py rename to wntr/quality/variables.py index aabbbe725..c70017dc8 100644 --- a/wntr/reaction/variables.py +++ b/wntr/quality/variables.py @@ -56,7 +56,7 @@ has_sympy = False from wntr.network.model import WaterNetworkModel -from wntr.reaction.base import EXPR_TRANSFORMS +from wntr.quality.base import EXPR_TRANSFORMS from .base import ( RESERVED_NAMES, diff --git a/wntr/tests/test_reaction_variables.py b/wntr/tests/test_quality_variables.py similarity index 56% rename from wntr/tests/test_reaction_variables.py rename to wntr/tests/test_quality_variables.py index 480cb9a1d..a0bf23043 100644 --- a/wntr/tests/test_reaction_variables.py +++ b/wntr/tests/test_quality_variables.py @@ -5,7 +5,7 @@ import numpy as np import pandas as pd import wntr -import wntr.reaction +import wntr.quality import sympy testdir = dirname(abspath(str(__file__))) @@ -24,35 +24,35 @@ def tearDownClass(self): pass def test_ReactionVariable_reserved_name_exception(self): - self.assertRaises(ValueError, wntr.reaction.BulkSpecies, "D", "mg") - self.assertRaises(ValueError, wntr.reaction.WallSpecies, "Q", "mg") - self.assertRaises(ValueError, wntr.reaction.Constant, "Re", 0.52) - self.assertRaises(ValueError, wntr.reaction.Parameter, "Re", 0.52) - self.assertRaises(ValueError, wntr.reaction.OtherTerm, "Re", 0.52) + self.assertRaises(ValueError, wntr.quality.BulkSpecies, "D", "mg") + self.assertRaises(ValueError, wntr.quality.WallSpecies, "Q", "mg") + self.assertRaises(ValueError, wntr.quality.Constant, "Re", 0.52) + self.assertRaises(ValueError, wntr.quality.Parameter, "Re", 0.52) + self.assertRaises(ValueError, wntr.quality.OtherTerm, "Re", 0.52) def test_RxnVariable_symbols_and_sympy(self): - species1 = wntr.reaction.BulkSpecies("Cl", "mg") + species1 = wntr.quality.BulkSpecies("Cl", "mg") symbol1 = sympy.symbols("Cl") self.assertEqual(species1.symbol, symbol1) - const1 = wntr.reaction.Constant("Kb", 0.482) + const1 = wntr.quality.Constant("Kb", 0.482) symbol2 = sympy.symbols("Kb") self.assertEqual(const1.symbol, symbol2) - param1 = wntr.reaction.Constant("Ka", 0.482) + param1 = wntr.quality.Constant("Ka", 0.482) symbol3 = sympy.symbols("Ka") self.assertEqual(param1.symbol, symbol3) - term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") symbol4 = sympy.symbols("T0") self.assertEqual(term1.symbol, symbol4) def test_RxnVariable_values(self): - const1 = wntr.reaction.Constant("Kb", 0.482, note="test") + const1 = wntr.quality.Constant("Kb", 0.482, note="test") self.assertEqual(const1.get_value(), const1.global_value) test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.reaction.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) + param2 = wntr.quality.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) self.assertEqual(param2.get_value(), param2.global_value) self.assertEqual(param2.get_value(pipe="PIPE"), test_pipe_dict["PIPE"]) self.assertEqual(param2.get_value(pipe="FOO"), param2.global_value) @@ -60,11 +60,11 @@ def test_RxnVariable_values(self): self.assertRaises(TypeError, param2.get_value, pipe="PIPE", tank="TANK") def test_RxnVariable_string_functions(self): - species1 = wntr.reaction.BulkSpecies("Cl", "mg") - species2 = wntr.reaction.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.Constant("Kb", 0.482) - param1 = wntr.reaction.Parameter("Ka", 0.482, note="foo") - term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + species1 = wntr.quality.BulkSpecies("Cl", "mg") + species2 = wntr.quality.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.quality.Constant("Kb", 0.482) + param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") + term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(str(species1), "Cl") self.assertEqual(species1.to_msx_string(), "BULK Cl mg ;") @@ -78,8 +78,8 @@ def test_RxnVariable_string_functions(self): def test_Species_tolerances(self): # """RxnSpecies(*s) tolerance settings""" - species1 = wntr.reaction.BulkSpecies("Cl", "mg") - species2 = wntr.reaction.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + species1 = wntr.quality.BulkSpecies("Cl", "mg") + species2 = wntr.quality.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") self.assertIsNone(species1.get_tolerances()) self.assertIsNotNone(species2.get_tolerances()) self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) @@ -99,19 +99,19 @@ def test_Species_tolerances(self): def test_BulkSpecies_creation(self): # """BlukSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.reaction.BulkSpecies, "Re") - self.assertRaises(ValueError, wntr.reaction.BulkSpecies, "Re", "mg") - self.assertRaises(TypeError, wntr.reaction.BulkSpecies, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.reaction.BulkSpecies, "Cl", "mg", None, 0.01) - species = wntr.reaction.BulkSpecies("Cl", "mg") + self.assertRaises(TypeError, wntr.quality.BulkSpecies, "Re") + self.assertRaises(ValueError, wntr.quality.BulkSpecies, "Re", "mg") + self.assertRaises(TypeError, wntr.quality.BulkSpecies, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.quality.BulkSpecies, "Cl", "mg", None, 0.01) + species = wntr.quality.BulkSpecies("Cl", "mg") self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.reaction.VariableType.BULK) + self.assertEqual(species.var_type, wntr.quality.VariableType.BULK) self.assertIsNone(species.atol) self.assertIsNone(species.rtol) self.assertIsNone(species.note) - species = wntr.reaction.BulkSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.reaction.VariableType.BULK) + species = wntr.quality.BulkSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.quality.VariableType.BULK) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species.atol, 0.01) @@ -120,19 +120,19 @@ def test_BulkSpecies_creation(self): def test_WallSpecies_creation(self): # """WallSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.reaction.WallSpecies, "Re") - self.assertRaises(ValueError, wntr.reaction.WallSpecies, "Re", "mg") - self.assertRaises(TypeError, wntr.reaction.WallSpecies, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.reaction.WallSpecies, "Cl", "mg", None, 0.01) - species = wntr.reaction.WallSpecies("Cl", "mg") + self.assertRaises(TypeError, wntr.quality.WallSpecies, "Re") + self.assertRaises(ValueError, wntr.quality.WallSpecies, "Re", "mg") + self.assertRaises(TypeError, wntr.quality.WallSpecies, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.quality.WallSpecies, "Cl", "mg", None, 0.01) + species = wntr.quality.WallSpecies("Cl", "mg") self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.reaction.VariableType.WALL) + self.assertEqual(species.var_type, wntr.quality.VariableType.WALL) self.assertIsNone(species.atol) self.assertIsNone(species.rtol) self.assertIsNone(species.note) - species = wntr.reaction.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.reaction.VariableType.WALL) + species = wntr.quality.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.quality.VariableType.WALL) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species.atol, 0.01) @@ -140,78 +140,78 @@ def test_WallSpecies_creation(self): self.assertEqual(species.note, "Testing stuff") def test_Constant_creation(self): - self.assertRaises(TypeError, wntr.reaction.Constant, "Re") - self.assertRaises(ValueError, wntr.reaction.Constant, "Re", 2.48) - const1 = wntr.reaction.Constant("Kb", 0.482, note="test") + self.assertRaises(TypeError, wntr.quality.Constant, "Re") + self.assertRaises(ValueError, wntr.quality.Constant, "Re", 2.48) + const1 = wntr.quality.Constant("Kb", 0.482, note="test") # FIXME: Find a way to suppress warning printing # self.assertWarns(RuntimeWarning, wntr.reaction.Constant, 'Kb1', 0.83, pipe_values={'a',1}) self.assertEqual(const1.name, "Kb") self.assertEqual(const1.global_value, 0.482) self.assertEqual(const1.get_value(), const1.global_value) - self.assertEqual(const1.var_type, wntr.reaction.VariableType.CONST) + self.assertEqual(const1.var_type, wntr.quality.VariableType.CONST) self.assertEqual(const1.note, "test") def test_Parameter_creation(self): - self.assertRaises(TypeError, wntr.reaction.Parameter, "Re") - self.assertRaises(ValueError, wntr.reaction.Parameter, "Re", 2.48) - param1 = wntr.reaction.Parameter("Kb", 0.482, note="test") + self.assertRaises(TypeError, wntr.quality.Parameter, "Re") + self.assertRaises(ValueError, wntr.quality.Parameter, "Re", 2.48) + param1 = wntr.quality.Parameter("Kb", 0.482, note="test") self.assertEqual(param1.name, "Kb") self.assertEqual(param1.global_value, 0.482) self.assertEqual(param1.get_value(), param1.global_value) - self.assertEqual(param1.var_type, wntr.reaction.VariableType.PARAM) + self.assertEqual(param1.var_type, wntr.quality.VariableType.PARAM) self.assertEqual(param1.note, "test") test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.reaction.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) + param2 = wntr.quality.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) self.assertDictEqual(param2.pipe_values, test_pipe_dict) self.assertDictEqual(param2.tank_values, test_tank_dict) def test_RxnTerm_creation(self): - self.assertRaises(TypeError, wntr.reaction.OtherTerm, "Re") - self.assertRaises(ValueError, wntr.reaction.OtherTerm, "Re", "1.0*Re") - term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + self.assertRaises(TypeError, wntr.quality.OtherTerm, "Re") + self.assertRaises(ValueError, wntr.quality.OtherTerm, "Re", "1.0*Re") + term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(term1.name, "T0") self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") - self.assertEqual(term1.var_type, wntr.reaction.VariableType.TERM) + self.assertEqual(term1.var_type, wntr.quality.VariableType.TERM) self.assertEqual(term1.note, "bar") def test_RxnExpression_strings(self): - equil1 = wntr.reaction.EquilibriumDynamics("Cl", wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.reaction.RateDynamics("Cl", wntr.reaction.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.reaction.FormulaDynamics("Cl", wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.quality.RateDynamics("Cl", wntr.quality.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.quality.FormulaDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.to_msx_string(), "EQUIL Cl -Ka + Kb * Cl + T0 ;") self.assertEqual(rate1.to_msx_string(), "RATE Cl -Ka + Kb * Cl + T0 ;Foo Bar") self.assertEqual(formula1.to_msx_string(), "FORMULA Cl -Ka + Kb * Cl + T0 ;") def test_Equilibrium_creation(self): - equil1 = wntr.reaction.EquilibriumDynamics("Cl", wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.species, "Cl") self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.expr_type, wntr.reaction.DynamicsType.EQUIL) + self.assertEqual(equil1.expr_type, wntr.quality.DynamicsType.EQUIL) def test_Rate_creation(self): - rate1 = wntr.reaction.RateDynamics("Cl", wntr.reaction.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + rate1 = wntr.quality.RateDynamics("Cl", wntr.quality.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") self.assertEqual(rate1.species, "Cl") self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(rate1.expr_type, wntr.reaction.DynamicsType.RATE) + self.assertEqual(rate1.expr_type, wntr.quality.DynamicsType.RATE) self.assertEqual(rate1.note, "Foo Bar") def test_Formula_creation(self): - formula1 = wntr.reaction.FormulaDynamics("Cl", wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") + formula1 = wntr.quality.FormulaDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(formula1.species, "Cl") self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.expr_type, wntr.reaction.DynamicsType.FORMULA) + self.assertEqual(formula1.expr_type, wntr.quality.DynamicsType.FORMULA) def test_WaterQualityReactionsModel_creation_specific_everything(self): - rxn_model1 = wntr.reaction.MultispeciesReactionModel() - bulk1 = wntr.reaction.BulkSpecies("Cl", "mg") - wall1 = wntr.reaction.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.Constant("Kb", 0.482) - param1 = wntr.reaction.Parameter("Ka", 0.482, note="foo") - term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - equil1 = wntr.reaction.EquilibriumDynamics(bulk1, wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.reaction.RateDynamics(bulk1, wntr.reaction.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.reaction.FormulaDynamics(wall1, wntr.reaction.LocationType.PIPE, "-Ka + Kb * Cl + T0") + rxn_model1 = wntr.quality.MultispeciesReactionModel() + bulk1 = wntr.quality.BulkSpecies("Cl", "mg") + wall1 = wntr.quality.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.quality.Constant("Kb", 0.482) + param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") + term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + equil1 = wntr.quality.EquilibriumDynamics(bulk1, wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.quality.RateDynamics(bulk1, wntr.quality.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.quality.FormulaDynamics(wall1, wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") bulk2 = rxn_model1.add_bulk_species("Cl", "mg") wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") @@ -219,7 +219,7 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): param2 = rxn_model1.add_parameterized_coeff("Ka", 0.482, note="foo") term2 = rxn_model1.add_other_term("T0", "-3.2 * Kb * Cl^2", note="bar") equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") - rate2 = rxn_model1.add_tank_reaction("Cl", wntr.reaction.DynamicsType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") + rate2 = rxn_model1.add_tank_reaction("Cl", wntr.quality.DynamicsType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") formula2 = rxn_model1.add_reaction("PIPE", "ClOH", "formula", "-Ka + Kb * Cl + T0") self.assertEqual(bulk1, bulk2) self.assertEqual(wall1, wall2) @@ -231,22 +231,22 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): # self.assertEqual(formula1, formula2) def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): - bulk1 = wntr.reaction.BulkSpecies("Cl", "mg") - wall1 = wntr.reaction.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.reaction.Constant("Kb", 0.482) - param1 = wntr.reaction.Parameter("Ka", 0.482, note="foo") - term1 = wntr.reaction.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + bulk1 = wntr.quality.BulkSpecies("Cl", "mg") + wall1 = wntr.quality.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.quality.Constant("Kb", 0.482) + param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") + term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - rxn_model2 = wntr.reaction.MultispeciesReactionModel() + rxn_model2 = wntr.quality.MultispeciesReactionModel() - self.assertRaises(ValueError, rxn_model2.add_species, wntr.reaction.VariableType.CONST, "Cl", "mg") + self.assertRaises(ValueError, rxn_model2.add_species, wntr.quality.VariableType.CONST, "Cl", "mg") self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) bulk3 = rxn_model2.add_species("BULK", "Cl", "mg") - wall3 = rxn_model2.add_species(wntr.reaction.VariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + wall3 = rxn_model2.add_species(wntr.quality.VariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) - param3 = rxn_model2.add_coefficient(wntr.reaction.VariableType.P, "Ka", 0.482, note="foo") + param3 = rxn_model2.add_coefficient(wntr.quality.VariableType.P, "Ka", 0.482, note="foo") self.assertEqual(bulk3, bulk1) self.assertEqual(wall3, wall1) diff --git a/wntr/utils/enumtools.py b/wntr/utils/enumtools.py index 8dc847265..e44235c33 100644 --- a/wntr/utils/enumtools.py +++ b/wntr/utils/enumtools.py @@ -9,22 +9,6 @@ def add_get(cls=None, *, prefix=None, abbrev=False): """Decorator that will add a ``get()`` classmethod to an enum class. - The get method behaves as follows. - For an integer, the integer value will be used to select the proper member. - For an :class:`Enum` object, the object's ``name`` will be used, and it will - be processed as a string. For a string, the method will: - - * capitalize the string - * remove leading or trailing spaces - * convert interior spaces or dashes to underscores - * optionally, remove a specified prefix from a string (using ``prefix``) - * optionally, try removing all letters except the first (if ``abbrev``) - - It will then try to get the member with the name corresponding to the converted - string. If ``abbrev`` is True, then the string will be truncated after trying - to use the full string as passed in. - - Parameters ---------- prefix : str, optional @@ -47,29 +31,40 @@ def add_get(cls=None, *, prefix=None, abbrev=False): @functools.wraps(cls) def wrap(cls, prefix, abbrev): + """Perform the decorator action""" def get(cls, value: Union[str, int, Enum], prefix='', abbrev=False): """Get the proper enum based on the name or value of the argument. + The get method behaves as follows. For an integer, the integer value will be used to select the proper member. - If the value is the same class as this class, it will be returned unchanged. For an :class:`Enum` object, the object's ``name`` will be used, and it will be processed as a string. For a string, the method will: - * capitalize the string - * remove leading or trailing spaces - * convert interior spaces or dashes to underscores - * optionally, remove a specified prefix from a string (using ``prefix``) - * optionally, try removing all letters except the first (if ``abbrev``) + 1. capitalize the string + 2. remove leading or trailing spaces + 3. convert interior spaces or dashes to underscores + 4. optionally, remove a specified prefix from a string (using ``prefix``, which + should have a default assigned by the :func:`wntr.utils.enumtools.add_get` + function.) It will then try to get the member with the name corresponding to the converted - string. If ``abbrev`` is True, then the string will be truncated after trying - to use the full string as passed in. + string. + + 5. optionally, if ``abbrev`` is True, then the string will be truncated to the first + letter, only, after trying to use the full string as passed in. The ``abbrev`` + parameter will have a default value based on how the :func:`~wntr.utils.enumtools.add_get` + decorator was called on this class. + Parameters ---------- value : Union[str, int, Enum] the value to be checked, if it is an Enum, then the name will be used + prefix : str, optional + a prefix to strip from the beginning of ``value``, default set by the decorator + abbrev : bool, optional + whether to try a single-letter version of ``value``, default set by the decorator Returns ------- From ffcc1a5989425718e46862287c9f9f9846746a14 Mon Sep 17 00:00:00 2001 From: dbhart Date: Wed, 20 Sep 2023 09:48:53 -0600 Subject: [PATCH 026/118] Typo --- documentation/apidoc/wntr.quality.dynamics.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/apidoc/wntr.quality.dynamics.rst b/documentation/apidoc/wntr.quality.dynamics.rst index ef3204fe1..da8cecbb1 100644 --- a/documentation/apidoc/wntr.quality.dynamics.rst +++ b/documentation/apidoc/wntr.quality.dynamics.rst @@ -1,7 +1,7 @@ wntr.quality.dynamics module ============================ -.. automodule:: wntr.reaction.quality +.. automodule:: wntr.quality.dynamics :members: :undoc-members: :show-inheritance: From eb6e7afa7e3bf4a1e8b7d8a8c8eed634719ce5ce Mon Sep 17 00:00:00 2001 From: dbhart Date: Wed, 20 Sep 2023 17:15:28 -0600 Subject: [PATCH 027/118] Updates to tests and organization --- .../apidoc/wntr.quality.dynamics.rst | 7 - documentation/apidoc/wntr.quality.model.rst | 7 - .../apidoc/wntr.quality.multispecies.rst | 7 + documentation/apidoc/wntr.quality.rst | 4 +- .../apidoc/wntr.quality.variables.rst | 7 - documentation/index.rst | 1 - wntr/epanet/__init__.py | 3 - wntr/epanet/exceptions.py | 159 ++-- wntr/epanet/io.py | 8 - wntr/epanet/msx/__init__.py | 1 - wntr/epanet/msx/enums.py | 95 +- wntr/epanet/msx/exceptions.py | 292 +++--- wntr/epanet/msx/io.py | 170 ++-- wntr/epanet/msx/toolkit.py | 2 - wntr/epanet/toolkit.py | 10 - wntr/epanet/util.py | 41 +- wntr/quality/MSXPY_toolkit.py | 876 ++++++++++++++++++ wntr/quality/__init__.py | 27 +- wntr/quality/base.py | 200 ++-- wntr/quality/dynamics.py | 234 ----- wntr/quality/io.py | 11 +- wntr/quality/library.py | 65 +- wntr/quality/{model.py => multispecies.py} | 674 +++++++++++++- wntr/quality/options.py | 201 ++-- wntr/quality/variables.py | 362 -------- wntr/tests/test_quality_variables.py | 44 +- 26 files changed, 2157 insertions(+), 1351 deletions(-) delete mode 100644 documentation/apidoc/wntr.quality.dynamics.rst delete mode 100644 documentation/apidoc/wntr.quality.model.rst create mode 100644 documentation/apidoc/wntr.quality.multispecies.rst delete mode 100644 documentation/apidoc/wntr.quality.variables.rst create mode 100644 wntr/quality/MSXPY_toolkit.py delete mode 100644 wntr/quality/dynamics.py rename wntr/quality/{model.py => multispecies.py} (56%) delete mode 100644 wntr/quality/variables.py diff --git a/documentation/apidoc/wntr.quality.dynamics.rst b/documentation/apidoc/wntr.quality.dynamics.rst deleted file mode 100644 index da8cecbb1..000000000 --- a/documentation/apidoc/wntr.quality.dynamics.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.quality.dynamics module -============================ - -.. automodule:: wntr.quality.dynamics - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.model.rst b/documentation/apidoc/wntr.quality.model.rst deleted file mode 100644 index 907115f17..000000000 --- a/documentation/apidoc/wntr.quality.model.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.quality.model module -========================= - -.. automodule:: wntr.quality.model - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.multispecies.rst b/documentation/apidoc/wntr.quality.multispecies.rst new file mode 100644 index 000000000..192296011 --- /dev/null +++ b/documentation/apidoc/wntr.quality.multispecies.rst @@ -0,0 +1,7 @@ +wntr.quality.multispecies module +================================ + +.. automodule:: wntr.quality.multispecies + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.rst b/documentation/apidoc/wntr.quality.rst index 0078e1b6e..db0dbbb19 100644 --- a/documentation/apidoc/wntr.quality.rst +++ b/documentation/apidoc/wntr.quality.rst @@ -14,9 +14,7 @@ Submodules :maxdepth: 1 wntr.quality.base - wntr.quality.dynamics wntr.quality.io wntr.quality.library - wntr.quality.model + wntr.quality.multispecies wntr.quality.options - wntr.quality.variables diff --git a/documentation/apidoc/wntr.quality.variables.rst b/documentation/apidoc/wntr.quality.variables.rst deleted file mode 100644 index a7efc4617..000000000 --- a/documentation/apidoc/wntr.quality.variables.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.quality.variables module -============================= - -.. automodule:: wntr.quality.variables - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/index.rst b/documentation/index.rst index f7d9e1c42..5ef2fdd51 100644 --- a/documentation/index.rst +++ b/documentation/index.rst @@ -30,7 +30,6 @@ designed to simulate and analyze resilience of water distribution networks. graphics gis advancedsim - advancedqual license whatsnew developers diff --git a/wntr/epanet/__init__.py b/wntr/epanet/__init__.py index 9d33d715a..bcab06872 100644 --- a/wntr/epanet/__init__.py +++ b/wntr/epanet/__init__.py @@ -3,6 +3,3 @@ """ from .io import InpFile #, BinFile, HydFile, RptFile from .util import FlowUnits, MassUnits, HydParam, QualParam, EN -import wntr.epanet.toolkit -import wntr.epanet.exceptions -import wntr.epanet.msx diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index 0cc6dbc01..68a2c3e6d 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -4,6 +4,8 @@ from enum import IntEnum from typing import List +from wntr.utils.enumtools import add_get + EN_ERROR_CODES = { # Runtime errors 1: "At %s, system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials", @@ -83,154 +85,155 @@ 309: "cannot save results to report file %s", } """A dictionary of the error codes and their meanings from the EPANET toolkit. -See :class:`EpanetErrors` for the documentation of each code number. +See :class:`EpanetErrorEnum` for the documentation of each code number. :meta hide-value: """ +@add_get(prefix='ERR_') class EpanetErrorEnum(IntEnum): """A list of short phrases that can be used in place of the error code numbers.""" - warn_unbalanced = 1 + WARN_UNBALANCED = 1 """system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials""" - warn_unstable = 2 + WARN_UNSTABLE = 2 """system may be hydraulically unstable - hydraulic convergence was only achieved after the status of all links was held fixed""" - warn_disconnected = 3 + WARN_DISCONNECTED = 3 """system disconnected - one or more nodes with positive demands were disconnected for all supply sources""" - warn_pumps = 4 + WARN_PUMPS = 4 """pumps cannot deliver enough flow or head - one or more pumps were forced to either shut down (due to insufficient head) or operate beyond the maximum rated flow""" - warn_valves = 5 + WARN_VALVES = 5 """vavles cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open""" - warn_pressures = 6 + WARN_PRESSURES = 6 """system has negative pressures - negative pressures occurred at one or more junctions with positive demand""" - insufficient_memory = 101 + INSUFFICIENT_MEMORY = 101 """insufficient memory available""" - no_network = 102 + NO_NETWORK = 102 """no network data available""" - no_init_hyd = 103 + INIT_HYD = 103 """hydraulics not initialized""" - no_hydraulics = 104 + NO_HYD = 104 """no hydraulics for water quality analysis""" - no_init_qual = 105 + NO_INITQ = 105 """water quality not initialized""" - no_results = 106 + NO_RESULTS = 106 """no results saved to report on""" - hyd_file = 107 + HYD_FILE = 107 """hydraulics supplied from external file""" - hyd_init_and_hyd_file = 108 + HYD_INIT_FILE = 108 """cannot use external file while hydraulics solver is active""" - modify_time_during_solve = 109 + MODIFY_TIME = 109 """cannot change time parameter when solver is active""" - solve_hyd_fail = 110 + SOLVE_HYD = 110 """cannot solve network hydraulic equations""" - solve_qual_fail = 120 + SOLVE_QUAL = 120 """cannot solve water quality transport equations""" - input_file_error = 200 + INPUT_FILE = 200 """one or more errors in input file""" - syntax_error = 201 + SYNTAX_ERROR = 201 """syntax error""" - illegal_numeric_value = 202 + ILLEGAL_NUMBER = 202 """illegal numeric value""" - undefined_node = 203 + UNDEFINED_NODE = 203 """undefined node""" - undefined_link = 204 + UNDEFINED_LINK = 204 """undefined link""" - undefined_pattern = 205 + UNDEFINED_PATTERN = 205 """undefined time pattern""" - undefined_curve = 206 + UNDEFINED_CURVE = 206 """undefined curve""" - control_on_cv_gpv = 207 + CV_GPV_CONTROL = 207 """attempt to control a CV/GPV link""" - illegal_pda_limits = 208 + ILLEGAL_PDA_LIMITS = 208 """illegal PDA pressure limits""" - illegal_node_property = 209 + ILLEGAL_NODE_PROPERTY = 209 """illegal node property value""" - illegal_link_property = 211 + ILLEGAL_LINK_PROPERTY = 211 """illegal link property value""" - undefined_trace_node = 212 + UNDEFINED_TRACE = 212 """undefined trace node""" - invalid_option_value = 213 + INVALID_OPTION_VALUE = 213 """invalid option value""" - too_many_chars_inp = 214 + TOO_MANY_CHARS = 214 """too many characters in input line""" - duplicate_id = 215 + DUPLICATE_ID = 215 """duplicate ID label""" - undefined_pump = 216 + UNDEFINED_PUMP = 216 """reference to undefined pump""" - invalid_energy_value = 217 + INVALID_ENERGY = 217 """pump has no head curve or power defined""" - illegal_valve_tank = 219 + ILLEGAL_VALVE_TANK = 219 """illegal valve connection to tank node""" - illegal_tank_valve = 219 + ILLEGAL_TANK_VALVE = 219 """illegal valve connection to tank node""" - illegal_valve_valve = 220 + ILLEGAL_VALVE_VALVE = 220 """illegal valve connection to another valve""" - misplaced_rule = 221 + MISPLACED_RULE = 221 """misplaced rule clause in rule-based control""" - link_to_self = 222 + SAME_START_END = 222 """link assigned same start and end nodes""" - not_enough_nodes = 223 + NUM_NODES = 223 """not enough nodes in network""" - no_tanks_or_res = 224 + NO_TANKS = 224 """no tanks or reservoirs in network""" - invalid_tank_levels = 225 + INVALID_TANK_LEVELS = 225 """invalid lower/upper levels for tank""" - missing_pump_data = 226 + MISSING_PUMP_OPTION = 226 """no head curve or power rating for pump""" - invalid_head_curve = 227 + INVALID_HEAD_CURVE = 227 """invalid head curve for pump""" - nonincreasing_x_curve = 230 + CURVE_X_NONINCREASING = 230 """nonincreasing x-values for curve""" - unconnected_node = 233 + UNCONNECTED_NODE = 233 """network has unconnected node""" - unconnected_node_id = 234 + UNCONNECTED_NODE_ID = 234 """network has an unconnected node with ID""" - no_such_source_node = 240 + NONEXISTENT_SOURCE = 240 """nonexistent water quality source""" - no_such_control = 241 + NONEXISTENT_CONTROL = 241 """nonexistent control""" - invalid_name_format = 250 + INVLAID_NAME_FORMAT = 250 """invalid format (e.g. too long an ID name)""" - invalid_parameter_code = 251 + INVALID_PARAMETER = 251 """invalid parameter code""" - invalid_id_name = 252 + INVALID_ID = 252 """invalid ID name""" - no_such_demand_category = 253 + NONEXISTENT_CATEGORY = 253 """nonexistent demand category""" - missing_coords = 254 + MISSING_COORDS = 254 """node with no coordinates""" - invalid_vertex = 255 + INVALID_VERTEX = 255 """invalid link vertex""" - no_such_rule = 257 + NONEXISTENT_RULE = 257 """nonexistent rule""" - no_such_rule_clause = 258 + NONEXISTENT_RULE_CLAUSE = 258 """nonexistent rule clause""" - delete_node_still_linked = 259 + NODE_STILL_LINKED = 259 """attempt to delete a node that still has links connected to it""" - delete_node_is_trace = 260 + NODE_IS_TRACE = 260 """attempt to delete node assigned as a Trace Node""" - delete_node_in_control = 261 + NODE_IN_CONTROL = 261 """attempt to delete a node or link contained in a control""" - modify_network_during_solve = 262 + MODIFY_NETWORK = 262 """attempt to modify network structure while a solver is open""" - node_not_a_tank = 263 + NOT_A_TANK = 263 """node is not a tank""" - same_file_names = 301 + SAME_FILENAMES = 301 """identical file names used for different types of files""" - open_inp_fail = 302 + OPEN_INP_FILE = 302 """cannot open input file""" - open_rpt_fail = 303 + OPEN_RPT_FILE = 303 """cannot open report file""" - open_bin_fail = 304 + OPEN_BIN_FILE = 304 """cannot open binary output file""" - open_hyd_fail = 305 + OPEN_HYD_FILE = 305 """cannot open hydraulics file""" - hyd_file_different_network = 306 + WRONG_HYD_FILE = 306 """hydraulics file does not match network data""" - read_hyd_fail = 307 + READ_HYDRAULICS = 307 """cannot read hydraulics file""" - save_bin_fail = 308 + SAVE_HYDRAULICS = 308 """cannot save results to binary file""" - save_rpt_fail = 309 + SAVE_REPORT = 309 """cannot save results to report file""" @@ -251,15 +254,9 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> line : str, optional The contents of the line, by default None """ - if isinstance(code, EpanetErrorEnum): - code = int(code) - elif isinstance(code, str): - try: - code = code.strip().replace('-','_').replace(' ','_') - code = int(EpanetErrorEnum[code]) - except KeyError: - return super().__init__('unknown error code: {}'.format(repr(code)), *args) - elif not isinstance(code, int): + try: + code = int(EpanetErrorEnum.get(code)) + except KeyError: return super().__init__('unknown error code: {}'.format(repr(code)), *args) msg = EN_ERROR_CODES.get(code, 'unknown error') if args is not None: diff --git a/wntr/epanet/io.py b/wntr/epanet/io.py index 8372faf76..49132efda 100644 --- a/wntr/epanet/io.py +++ b/wntr/epanet/io.py @@ -1,13 +1,5 @@ """ The wntr.epanet.io module contains methods for reading/writing EPANET input and output files. - -.. rubric:: Contents - -.. autosummary:: - - InpFile - BinFile - """ from __future__ import absolute_import diff --git a/wntr/epanet/msx/__init__.py b/wntr/epanet/msx/__init__.py index d4bf03075..37d0a4a2d 100644 --- a/wntr/epanet/msx/__init__.py +++ b/wntr/epanet/msx/__init__.py @@ -1,4 +1,3 @@ """The wntr.epanet.msx package provides EPANET-MSX compatibility functions for WNTR. """ from .io import MsxFile -import wntr.epanet.msx.toolkit diff --git a/wntr/epanet/msx/enums.py b/wntr/epanet/msx/enums.py index 38c15cd0e..97d31af6e 100644 --- a/wntr/epanet/msx/enums.py +++ b/wntr/epanet/msx/enums.py @@ -10,14 +10,23 @@ class ObjectType(IntEnum): .. warning:: These enum values start with 0. """ NODE = 0 + """EPANET node""" LINK = 1 + """EPANET link""" PIPE = 1 + """EPANET pipe""" TANK = 2 + """EPANET tank""" SPECIES = 3 + """MSX species""" TERM = 4 + """MSX term""" PARAMETER = 5 + """MSX parameter""" CONSTANT = 6 + """MSX constant""" PATTERN = 7 + """**MSX** pattern""" MAX_OBJECTS = 8 @@ -28,10 +37,15 @@ class SourceType(IntEnum): .. warning:: These enum values start with -1. """ NOSOURCE = -1 + """No source""" CONCEN = 0 + """Concentration based source""" MASS = 1 + """Constant mass source""" SETPOINT = 2 + """Setpoint source""" FLOWPACED = 3 + """Flow-paced source""" @add_get(prefix='MSX_') @@ -41,25 +55,37 @@ class UnitSystemType(IntEnum): .. warning:: These enum values start with 0. """ US = 0 + """US units (ft, ft2, gal)""" SI = 1 + """SI units (m, m2, m3)""" @add_get(prefix='MSX_') class FlowUnitsType(IntEnum): - """The enumeration for the flow units used in EPANET-MSX. + """The enumeration for the flow units used in EPANET-MSX (determined from EPANET INP file read in with the toolkit). .. warning:: These enum values start with 0. """ CFS = 0 + """cubic feet per second""" GPM = 1 + """gallons (US) per minute""" MGD = 2 + """million gallons (US) per day""" IMGD = 3 + """million Imperial gallons per day""" AFD = 4 + """acre-feet (US) per day""" LPS = 5 + """liters per second""" LPM = 6 + """liters per minute""" MLD = 7 + """million liters per day""" CMH = 8 + """cubic meters per hour""" CMD = 9 + """cubic meters per day""" @add_get(prefix='MSX_') @@ -69,9 +95,13 @@ class MixType(IntEnum): .. warning:: These enum values start with 0. """ MIX1 = 0 + """full mixing, 1 compartment""" MIX2 = 1 + """full mixing, 2 comparments""" FIFO = 2 + """first in, first out""" LIFO = 3 + """last in, first out""" @add_get(prefix='MSX_') @@ -81,7 +111,9 @@ class SpeciesType(IntEnum): .. warning:: These enum values start with 0. """ BULK = 0 + """bulk species""" WALL = 1 + """wall species""" @add_get(prefix='MSX_') @@ -91,9 +123,13 @@ class ExpressionType(IntEnum): .. warning:: These enum values start with 0. """ NO_EXPR = 0 + """no expression defined""" RATE = 1 + """expression is a rate expression""" FORMULA = 2 + """expression is a formula expression""" EQUIL = 3 + """expression is an equilibrium expression""" @add_get(prefix='MSX_') @@ -103,8 +139,11 @@ class SolverType(IntEnum): .. warning:: These enum values start with 0. """ EUL = 0 + """Euler solver""" RK5 = 1 + """Runga-Kutta 5th order solver""" ROS2 = 2 + """Ros 2nd order solver""" @add_get(prefix='MSX_') @@ -114,7 +153,9 @@ class CouplingType(IntEnum): .. warning:: These enum values start with 0. """ NO_COUPLING = 0 + """no coupling""" FULL_COUPLING = 1 + """full coupling""" @add_get(prefix='MSX_') @@ -124,9 +165,13 @@ class MassUnitsType(IntEnum): .. warning:: These enum values start with 0. """ MG = 0 + """milligrams""" UG = 1 + """micrograms""" MOLE = 2 + """mole""" MMOLE = 3 + """millimole""" @add_get(prefix='MSX_') @@ -136,8 +181,11 @@ class AreaUnitsType(IntEnum): .. warning:: These enum values start with 0. """ FT2 = 0 + """square feet""" M2 = 1 + """square meters""" CM2 = 2 + """square centimeters""" @add_get(prefix='MSX_') @@ -147,24 +195,35 @@ class RateUnitsType(IntEnum): .. warning:: These enum values start with 0. """ SECONDS = 0 + """per second""" MINUTES = 1 + """per minute""" HOURS = 2 + """per hour""" DAYS = 3 + """per day""" @add_get(prefix='MSX_') class UnitsType(IntEnum): - """The enumerations for units used in EPANET-MSX. + """The position for units used in EPANET-MSX. .. warning:: These enum values start with 0. """ LENGTH_UNITS = 0 + """the length unit index""" DIAM_UNITS = 1 + """the diameter unit index""" AREA_UNITS = 2 + """the area unit index""" VOL_UNITS = 3 + """the volume unit index""" FLOW_UNITS = 4 + """the flow unit index""" CONC_UNITS = 5 + """the concentration unit index""" RATE_UNITS = 6 + """the rate unit index""" MAX_UNIT_TYPES = 7 @@ -175,14 +234,23 @@ class HydVarType(IntEnum): .. warning:: These enum values start with 0. """ DIAMETER = 1 + """pipe diameter""" FLOW = 2 + """pipe flow rate""" VELOCITY = 3 + """segment velocity""" REYNOLDS = 4 + """Reynolds number""" SHEAR = 5 + """shear velocity""" FRICTION = 6 + """friction factor""" AREAVOL = 7 + """area / volume ratio""" ROUGHNESS = 8 + """roughness number""" LENGTH = 9 + """pipe or segment length""" MAX_HYD_VARS = 10 @@ -193,28 +261,43 @@ class TstatType(IntEnum): .. warning:: These enum values start with 0. """ SERIES = 0 + """output a time series""" AVERAGE = 1 + """output the average""" MINIMUM = 2 + """output the minimum""" MAXIMUM = 3 + """output the maximum""" RANGE = 4 + """output the range (max - min)""" @add_get(prefix='MSX_') class OptionType(IntEnum): - """The enumeration used for option in EPANET-MSX. + """The enumeration used for choosing an option in EPANET-MSX toolkit. .. warning:: These enum values start with 0. """ AREA_UNITS_OPTION = 0 + """area units""" RATE_UNITS_OPTION = 1 + """rate units""" SOLVER_OPTION = 2 + """solver""" COUPLING_OPTION = 3 + """coupling""" TIMESTEP_OPTION = 4 + """timestep size""" RTOL_OPTION = 5 + """relative tolerance (global)""" ATOL_OPTION = 6 + """absolute tolerance (global)""" COMPILER_OPTION =7 + """compiler option""" MAXSEGMENT_OPTION = 8 + """max segments""" PECLETNUMBER_OPTION = 9 + """peclet number""" @add_get(prefix='MSX_') @@ -224,8 +307,11 @@ class CompilerType(IntEnum): .. warning:: These enum values start with 0. """ NO_COMPILER = 0 + """do not compile reaction dynamics""" VC = 1 + """use Visual C to compile reaction dynamics""" GC = 2 + """use Gnu C to compile reaction dynamics""" @add_get(prefix='MSX_') @@ -235,5 +321,8 @@ class FileModeType(IntEnum): .. warning:: These enum values start with 0. """ SCRATCH_FILE = 0 + """use a scratch file""" SAVED_FILE = 1 + """save the file""" USED_FILE = 2 + """use a saved file""" diff --git a/wntr/epanet/msx/exceptions.py b/wntr/epanet/msx/exceptions.py index 9afaa3f0a..1df9aabee 100644 --- a/wntr/epanet/msx/exceptions.py +++ b/wntr/epanet/msx/exceptions.py @@ -3,152 +3,128 @@ from enum import IntEnum from typing import List -from ..exceptions import EpanetException, EN_ERROR_CODES, EpanetErrorEnum - - -MSX_ERROR_CODES = EN_ERROR_CODES.copy() -MSX_ERROR_CODES.update( - { - # MSX syntax errors - 401: "too many characters", - 402: "too few input items", - 403: "invalid keyword: '%s'", - 404: "invalid numeric value: '%s'", - 405: "reference to undefined object: '%s'", - 406: "illegal use of reserved name: '%s'", - 407: "name already used by another object: '%s'", - 408: "species already assigned an expression: '%s'", - 409: "illegal math expression", - 410: "option no longer supported", - 411: "term '%s' contains a cyclic reference", - # MSX runtime errors - 501: "insufficient memory available", - 502: "no EPANET data file supplied", - 503: "could not open MSX input file %s", - 504: "could not open hydraulic results file", - 505: "could not read hydraulic results file", - 506: "could not read MSX input file %s", - 507: "too few pipe reaction expressions", - 508: "too few tank reaction expressions", - 509: "could not open differential equation solver", - 510: "could not open algebraic equation solver", - 511: "could not open binary results file", - 512: "read/write error on binary results file", - 513: "could not integrate reaction rate expressions", - 514: "could not solve reaction equilibrium expressions", - 515: "reference made to an unknown type of object %s", - 516: "reference made to an illegal object index %s", - 517: "reference made to an undefined object ID %s", - 518: "invalid property values were specified", - 519: "an MSX project was not opened", - 520: "an MSX project is already opened", - 522: "could not compile chemistry functions", - 523: "could not load functions from compiled chemistry file", - 524: "illegal math operation", - } -) - - -class MSXErrors(IntEnum): - too_many_chars_msx = 401 - too_few_items = 402 - invalid_keyword = 403 - invalid_numeric_value_msx = 404 - undefined_msx_object = 405 - illegal_reserved_name = 406 - name_in_use = 407 - species_already_assigned = 408 - illegal_math_expression = 409 - option_deprecated = 410 - cyclic_reference = 411 - insufficient_memory_msx = 501 - no_epanet_datafile = 502 - open_msx_fail = 503 - open_hyd_fail_msx = 504 - read_hyd_fail_msx = 505 - read_msx_fail = 506 - not_enough_pipe_reactions = 507 - not_enough_tank_reactions = 508 - open_de_solver_fail = 509 - open_ae_solver_fail = 510 - open_bin_fail_msx = 511 - io_error_msx_bin = 512 - solve_rate_failed = 513 - solve_equil_failed = 514 - unknown_object_type = 515 - illegal_object_index = 516 - undefined_object_id = 517 - invalid_property_value = 518 - msx_project_not_open = 519 - msx_project_open = 520 - compile_chem_failed = 522 - load_compiled_chem_failed = 523 - illegal_math_operation = 524 - insufficient_memory = 101 - no_network = 102 - no_init_hyd = 103 - no_hydraulics = 104 - no_init_qual = 105 - no_results = 106 - hyd_file = 107 - hyd_init_and_hyd_file = 108 - modify_time_during_solve = 109 - solve_hyd_fail = 110 - solve_qual_fail = 120 - input_file_error = 200 - syntax_error = 201 - illegal_numeric_value = 202 - undefined_node = 203 - undefined_link = 204 - undefined_pattern = 205 - undefined_curve = 206 - control_on_cv_gpv = 207 - illegal_pda_limits = 208 - illegal_node_property = 209 - illegal_link_property = 211 - undefined_trace_node = 212 - invalid_option_value = 213 - too_many_chars_inp = 214 - duplicate_id = 215 - undefined_pump = 216 - invalid_energy_value = 217 - illegal_valve_tank = 219 - illegal_tank_valve = 219 - illegal_valve_valve = 220 - misplaced_rule = 221 - link_to_self = 222 - not_enough_nodes = 223 - no_tanks_or_res = 224 - invalid_tank_levels = 225 - missing_pump_data = 226 - invalid_head_curve = 227 - nonincreasing_x_curve = 230 - unconnected_node = 233 - unconnected_node_id = 234 - no_such_source_node = 240 - no_such_control = 241 - invalid_name_format = 250 - invalid_parameter_code = 251 - invalid_id_name = 252 - no_such_demand_category = 253 - missing_coords = 254 - invalid_vertex = 255 - no_such_rule = 257 - no_such_rule_clause = 258 - delete_node_still_linked = 259 - delete_node_is_trace = 260 - delete_node_in_control = 261 - modify_network_during_solve = 262 - node_not_a_tank = 263 - same_file_names = 301 - open_inp_fail = 302 - open_rpt_fail = 303 - open_bin_fail = 304 - open_hyd_fail = 305 - hyd_file_different_network = 306 - read_hyd_fail = 307 - save_bin_fail = 308 - save_rpt_fail = 309 + +from wntr.utils.enumtools import add_get + +from ..exceptions import EN_ERROR_CODES, EpanetException + +MSX_ERROR_CODES = { + # MSX syntax errors + 401: "too many characters", + 402: "too few input items", + 403: "invalid keyword: '%s'", + 404: "invalid numeric value: '%s'", + 405: "reference to undefined object: '%s'", + 406: "illegal use of reserved name: '%s'", + 407: "name already used by another object: '%s'", + 408: "species already assigned an expression: '%s'", + 409: "illegal math expression", + 410: "option no longer supported", + 411: "term '%s' contains a cyclic reference", + # MSX runtime errors + 501: "insufficient memory available", + 502: "no EPANET data file supplied", + 503: "could not open MSX input file %s", + 504: "could not open hydraulic results file", + 505: "could not read hydraulic results file", + 506: "could not read MSX input file %s", + 507: "too few pipe reaction expressions", + 508: "too few tank reaction expressions", + 509: "could not open differential equation solver", + 510: "could not open algebraic equation solver", + 511: "could not open binary results file", + 512: "read/write error on binary results file", + 513: "could not integrate reaction rate expressions", + 514: "could not solve reaction equilibrium expressions", + 515: "reference made to an unknown type of object %s", + 516: "reference made to an illegal object index %s", + 517: "reference made to an undefined object ID %s", + 518: "invalid property values were specified", + 519: "an MSX project was not opened", + 520: "an MSX project is already opened", + 522: "could not compile chemistry functions", + 523: "could not load functions from compiled chemistry file", + 524: "illegal math operation", +} +"""Dictionary of MSX error codes and meanings. +See :class:`MsxErrorEnum` for the list of error codes and their meanings. + +:meta hide-value: +""" + + +@add_get(prefix="ERR_") +class MsxErrorEnum(IntEnum): + """The EPANET-MSX input and toolkit error numbers, keys, and descriptions""" + + MAX_CHARS = 401 + "too many characters" + NUM_ITEMS = 402 + "too few input items" + INVALID_KEYWORD = 403 + "invalid keyword" + INVALID_NUMBER = 404 + "invalid numeric value" + UNDEFINED_OBJECT_TYPE = 405 + "reference to undefined object" + RESERVED_NAME = 406 + "illegal use of reserved name" + NAME = 407 + "name already used by another object" + SPECIES_EXPR = 408 + "species already assigned an expression" + ILLEGAL_MATH_EXPR = 409 + "illegal math expression" + DEPRECATED = 410 + "option no longer supported" + CYCLIC_REFERENCE = 411 + "term contains a cyclic reference" + MEMORY = 501 + "insufficient memory available" + NO_EPANET_FILE = 502 + "no EPANET data file supplied" + OPEN_MSX_FILE = 503 + "could not open MSX input file" + OPEN_HYD_FILE = 504 + "could not open hydraulic results file" + READ_HYD_FILE = 505 + "could not read hydraulic results file" + MSX_INPUT = 506 + "could not read MSX input file" + NUM_PIPE_EXPR = 507 + "too few pipe reaction expressions" + NUM_TANK_EXPR = 508 + "too few tank reaction expressions" + INTEGRATOR_OPEN = 509 + """could not open differential equation solver""" + NEWTON_OPEN = 510 + "could not open algebraic equation solver" + OPEN_OUT_FILE = 511 + """could not open binary results file""" + IO_OUT_FILE = 512 + """read/write error on binary results file""" + INTEGRATION = 513 + """could not integrate reaction rate expressions""" + NEWTON = 514 + """could not solve reaction equilibrium expressions""" + INVALID_OBJECT_TYPE = 515 + """reference made to an unknown type of object""" + INVALID_OBJECT_INDEX = 516 + """reference made to an illegal object index""" + UNDEFINED_OBJECT_ID = 517 + """reference made to an undefined object ID""" + INVALID_OBJECT_PARAMS = 518 + """invalid property values were specified""" + MSX_NOT_OPENED = 519 + """an MSX project was not opened""" + MSX_OPENED = 520 + """an MSX project is already opened""" + COMPILE_FAILED = 522 + """could not compile chemistry functions""" + COMPLED_LOAD = 523 + """could not load functions from compiled chemistry file""" + ILLEGAL_MATH = 524 + """illegal math operation""" class EpanetMsxException(EpanetException): @@ -160,23 +136,19 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> code : int or str or MSXErrors The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to + If there is a string-format within the error code's text, these will be used to replace the format, otherwise they will be output at the end of the Exception message. line_num : int, optional The line number, if reading an INP file, by default None line : str, optional The contents of the line, by default None """ - if isinstance(code, (EpanetErrorEnum, MSXErrors)): - code = int(code) - elif isinstance(code, str): - try: - code = code.strip().replace("-", "_").replace(" ", "_") - code = int(MSXErrors[code]) - except KeyError: - return super(Exception, self).__init__("unknown error code: {}".format(repr(code)), *args) - elif not isinstance(code, int): - return super(Exception, self).__init__("unknown error code: {}".format(repr(code)), *args) + try: + code = MsxErrorEnum.get(code) + except: + return super().__init__(code, *args, line_num=line_num, line=line) + if int(code) < 400: + return super().__init__(code, *args, line_num=line_num, line=line) msg = MSX_ERROR_CODES.get(code, "unknown error") if args is not None: args = [*args] @@ -201,7 +173,7 @@ def __init__(self, code, *args, line_num=None, line=None) -> None: code : int or str or MSXErrors The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to + If there is a string-format within the error code's text, these will be used to replace the format, otherwise they will be output at the end of the Exception message. line_num : int, optional The line number, if reading an INP file, by default None @@ -222,7 +194,7 @@ def __init__(self, code, name, *args, line_num=None, line=None) -> None: name : str The key/name/id that is missing args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to + If there is a string-format within the error code's text, these will be used to replace the format, otherwise they will be output at the end of the Exception message. line_num : int, optional The line number, if reading an INP file, by default None @@ -243,7 +215,7 @@ def __init__(self, code, value, *args, line_num=None, line=None) -> None: value : Any The value that is invalid args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to + If there is a string-format within the error code's text, these will be used to replace the format, otherwise they will be output at the end of the Exception message. line_num : int, optional The line number, if reading an INP file, by default None diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index 9ef37a66a..82a63ffa5 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -1,16 +1,16 @@ # coding: utf-8 +"""I/O functions for EPANET-MSX toolkit compatibility""" import datetime -from io import FileIO, TextIOWrapper import logging import sys +from io import FileIO, TextIOWrapper +from wntr.epanet.msx.exceptions import EpanetMsxException +from wntr.epanet.util import ENcomment from wntr.network.elements import Source from wntr.quality.base import LocationType, VariableType -from wntr.quality.base import MSXComment -from wntr.quality.model import MultispeciesReactionModel -from wntr.epanet.msx.exceptions import EpanetMsxException -from wntr.quality.variables import Parameter, Species +from wntr.quality.multispecies import MultispeciesQualityModel, Parameter, Species from wntr.utils.citations import Citation sys_default_enc = sys.getdefaultencoding() @@ -54,6 +54,8 @@ def _split_line(line): class MsxFile(object): def __init__(self): + """An MSX input file, usually ".msx" extension. + """ self.sections = dict() for sec in _INP_SECTIONS: self.sections[sec] = [] @@ -78,7 +80,7 @@ def read(self, msx_file, rxn_model=None): the model with the new species, reactions and other options added """ if rxn_model is None: - rxn_model = MultispeciesReactionModel() + rxn_model = MultispeciesQualityModel() self.rxn = rxn_model # if not isinstance(msx_file, list): # msx_file = [msx_file] @@ -173,7 +175,7 @@ def _read_title(self): def _read_options(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[OPTIONS]"]: vals, comment = _split_line(line) try: @@ -211,7 +213,7 @@ def _read_options(self): def _read_species(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[SPECIES]"]: vals, comment = _split_line(line) if vals is None: @@ -234,11 +236,11 @@ def _read_species(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() def _read_coefficients(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[COEFFICIENTS]"]: vals, comment = _split_line(line) if vals is None: @@ -256,11 +258,11 @@ def _read_coefficients(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [COEFFICIENTS] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() def _read_terms(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[TERMS]"]: vals, comment = _split_line(line) if vals is None: @@ -278,11 +280,11 @@ def _read_terms(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [TERMS] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() def _read_pipes(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[PIPES]"]: vals, comment = _split_line(line) if vals is None: @@ -300,11 +302,11 @@ def _read_pipes(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [PIPES] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() def _read_tanks(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[TANKS]"]: vals, comment = _split_line(line) if vals is None: @@ -322,11 +324,11 @@ def _read_tanks(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [TANKS] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() def _read_sources(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[SOURCES]"]: vals, comment = _split_line(line) if vals is None: @@ -352,11 +354,11 @@ def _read_sources(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [SOURCES] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() def _read_quality(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[QUALITY]"]: vals, comment = _split_line(line) if vals is None: @@ -387,11 +389,11 @@ def _read_quality(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [QUALITY] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() def _read_parameters(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[PARAMETERS]"]: vals, comment = _split_line(line) if vals is None: @@ -417,11 +419,11 @@ def _read_parameters(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [PARAMETERS] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() def _read_diffusivity(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[DIFFUSIVITY]"]: vals, comment = _split_line(line) if vals is None: @@ -442,7 +444,7 @@ def _read_diffusivity(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [DIFFUSIVITIES] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() def _read_patterns(self): _patterns = dict() @@ -466,7 +468,7 @@ def _read_patterns(self): def _read_report(self): lines = [] - note = MSXComment() + note = ENcomment() for lnum, line in self.sections["[REPORT]"]: vals, comment = _split_line(line) if vals is None: @@ -522,10 +524,19 @@ def _read_report(self): except Exception as e: raise EpanetMsxException(201, note='at line {} of [REPORT] section:\n{}'.format(lnum, line)) from e else: - note = MSXComment() + note = ENcomment() + + def write(self, filename: str, msx: MultispeciesQualityModel): + """Write an MSX input file. - def write(self, filename: str, rxn: MultispeciesReactionModel): - self.rxn = rxn + Parameters + ---------- + filename : str + the filename to write + rxn : MultispeciesQualityModel + the multispecies reaction model + """ + self.rxn = msx with open(filename, "w") as fout: fout.write("; WNTR-reactions MSX file generated {}\n".format(datetime.datetime.now())) @@ -549,20 +560,6 @@ def _write_title(self, fout): fout.write("[TITLE]\n") fout.write(" {}\n".format(self.rxn.title)) fout.write("\n") - # if self.rxn.desc is not None: - # desc = self.rxn.desc.splitlines() - # desc = " ".join(desc) - # fout.write("; @desc={}\n".format(desc)) - # fout.write("\n") - # if self.rxn.citations is not None: - # if isinstance(self.rxn.citations, list): - # for citation in self.rxn.citations: - # fout.write("; @cite={}\n".format(citation.to_dict() if isinstance(citation, Citation) else str(citation))) - # fout.write("\n") - # else: - # citation = self.rxn.citations - # fout.write("; @cite={}\n".format(citation.to_dict() if isinstance(citation, Citation) else str(citation))) - # fout.write("\n") def _write_options(self, fout): opts = self.rxn._options @@ -581,78 +578,103 @@ def _write_options(self, fout): def _write_species(self, fout): fout.write("[SPECIES]\n") + def to_msx_string(self) -> str: + tols = self.get_tolerances() + if tols is None: + tolstr = "" + else: + tolstr = " {:12.6g} {:12.6g}".format(*tols) + return "{:<12s} {:<8s} {:<8s}{:s}".format( + self.var_type.name.upper(), + self.name, + self.units, + tolstr, + ) for var in self.rxn.variables(var_type=VariableType.BULK): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + if isinstance(var.note, ENcomment): + fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + fout.write(" {} ; {}\n".format(to_msx_string(var), var.note)) else: - fout.write(" {}\n".format(var.to_msx_string())) + fout.write(" {}\n".format(to_msx_string(var))) for var in self.rxn.variables(var_type=VariableType.WALL): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + if isinstance(var.note, ENcomment): + fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + fout.write(" {} ; {}\n".format(to_msx_string(var), var.note)) else: - fout.write(" {}\n".format(var.to_msx_string())) + fout.write(" {}\n".format(to_msx_string(var))) fout.write("\n") def _write_coefficients(self, fout): fout.write("[COEFFICIENTS]\n") + def to_msx_string(self) -> str: + # if self.units is not None: + # post = r' ; {"units"="' + str(self.units) + r'"}' + # else: + post = '' + return "{:<12s} {:<8s} {:<16s}{}".format( + self.var_type.name.upper(), + self.name, + str(self.global_value), + post + ) for var in self.rxn.variables(var_type=VariableType.CONST): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + if isinstance(var.note, ENcomment): + fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + fout.write(" {} ; {}\n".format(to_msx_string(var), var.note)) else: - fout.write(" {}\n".format(var.to_msx_string())) + fout.write(" {}\n".format(to_msx_string(var))) for var in self.rxn.variables(var_type=VariableType.PARAM): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + if isinstance(var.note, ENcomment): + fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + fout.write(" {} ; {}\n".format(to_msx_string(var), var.note)) else: - fout.write(" {}\n".format(var.to_msx_string())) + fout.write(" {}\n".format(to_msx_string(var))) fout.write("\n") def _write_terms(self, fout): fout.write("[TERMS]\n") + def to_msx_string(self) -> str: + return "{:<8s} {:<64s}".format(self.name, self.expression) for var in self.rxn.variables(var_type=VariableType.TERM): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + if isinstance(var.note, ENcomment): + fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + fout.write(" {} ; {}\n".format(to_msx_string(var), var.note)) else: - fout.write(" {}\n".format(var.to_msx_string())) + fout.write(" {}\n".format(to_msx_string(var))) fout.write("\n") def _write_pipes(self, fout): fout.write("[PIPES]\n") for var in self.rxn.reactions(location=LocationType.PIPE): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + if isinstance(var.note, ENcomment): + fout.write("{}\n".format(var.note.wrap_msx_string("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression)))) elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + fout.write(" {} ; {}\n".format("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression), var.note)) else: - fout.write(" {}\n".format(var.to_msx_string())) + fout.write(" {}\n".format("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression))) fout.write("\n") def _write_tanks(self, fout): fout.write("[TANKS]\n") for var in self.rxn.reactions(location=LocationType.TANK): - if isinstance(var.note, MSXComment): - fout.write("{}\n".format(var.note.wrap_msx_string(var.to_msx_string()))) + if isinstance(var.note, ENcomment): + fout.write("{}\n".format(var.note.wrap_msx_string("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression)))) elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(var.to_msx_string(), var.note)) + fout.write(" {} ; {}\n".format("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression), var.note)) else: - fout.write(" {}\n".format(var.to_msx_string())) + fout.write(" {}\n".format("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression))) fout.write("\n") def _write_sources(self, fout): fout.write("[SOURCES]\n") for species in self.rxn._sources.keys(): for node, src in self.rxn._sources[species].items(): - if isinstance(src["note"], MSXComment): + if isinstance(src["note"], ENcomment): fout.write( src["note"].wrap_msx_string( "{:<10s} {:<8s} {:<8s} {:12s} {:<12s}".format(src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "") @@ -748,10 +770,12 @@ def _write_report(self, fout): fout.write(" PAGESIZE {}\n".format(self.rxn._options.report.pagesize)) fout.write("\n") -import wntr.network import numpy as np import pandas as pd +import wntr.network + + def MsxBinFile(filename, wn: wntr.network.WaterNetworkModel): duration = int(wn.options.time.duration) diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py index 9cc971d80..599131aa3 100644 --- a/wntr/epanet/msx/toolkit.py +++ b/wntr/epanet/msx/toolkit.py @@ -7,8 +7,6 @@ Code in this section taken from code originally written by Junli Hao 07/29/2018, "EPANET-MSX-Python-wrapper" on GitHub, licensed under the BSD license. See LICENSE.txt for more details. - - """ import ctypes from enum import IntEnum diff --git a/wntr/epanet/toolkit.py b/wntr/epanet/toolkit.py index 21ffb67a5..38b1fd14d 100644 --- a/wntr/epanet/toolkit.py +++ b/wntr/epanet/toolkit.py @@ -1,16 +1,6 @@ """ The wntr.epanet.toolkit module is a Python extension for the EPANET Programmers Toolkit DLLs. - -.. rubric:: Contents - -.. autosummary:: - - runepanet - ENepanet - EpanetException - ENgetwarning - """ import ctypes import os diff --git a/wntr/epanet/util.py b/wntr/epanet/util.py index 24673b2d5..9c8fb41e5 100644 --- a/wntr/epanet/util.py +++ b/wntr/epanet/util.py @@ -1,30 +1,10 @@ """ The wntr.epanet.util module contains unit conversion utilities based on EPANET units. - -.. rubric:: Contents - -.. autosummary:: - - FlowUnits - MassUnits - QualParam - HydParam - to_si - from_si - StatisticsType - QualType - SourceType - PressureUnits - FormulaType - ControlType - LinkTankStatus - MixType - ResultType - EN - """ +from dataclasses import dataclass, field import enum import logging +from typing import List import numpy as np import pandas as pd @@ -1403,3 +1383,20 @@ def from_si( return param._from_si(to_units, data, mass_units, reaction_order) else: raise RuntimeError("Invalid parameter: %s" % param) + + +@dataclass +class ENcomment: + pre: List[str] = field(default_factory=list) + post: str = None + + def wrap_msx_string(self, string) -> str: + if self.pre is None or len(self.pre) == 0: + if self.post is None: + return ' ' + string + else: + return ' ' + string + ' ; ' + self.post + elif self.post is None: + return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string + else: + return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string + ' ; ' + self.post diff --git a/wntr/quality/MSXPY_toolkit.py b/wntr/quality/MSXPY_toolkit.py new file mode 100644 index 000000000..d7a9c374b --- /dev/null +++ b/wntr/quality/MSXPY_toolkit.py @@ -0,0 +1,876 @@ +# # -*- coding: utf-8 -*- +# """ +# Created on Fri Jun 18 10:52:45 2021 + +# @author: Matthew +# """ + +# import numpy as np +# import epanet_toolkit as epa +# import msx_toolkit as msx +# import pandas as pd +# import os +# from sklearn.cluster import KMeans +# from sklearn.metrics import silhouette_score +# import wntr +# from scipy.linalg import cholesky +# from SALib.analyze import morris as morris_a + +# def MSXRunQual(species='all', nodes='all', links='all',by_species='yes',bin_read='no',t_start=-1): +# #Function to run a MSX model and extract timeseries of specified species, links, and nodes +# #Inputs are a list of the desired species, nodes, links, and whether the results +# #should be organized by species, or by model element (links and nodes) +# #if no nodes or links are desired, then an empty list [] should be used +# #The t_start option is a number in days which says when the results from the +# #simulation should start to be recorded. This is helpful if a model needs to run +# #to reach hydraulic equilbriums and the first X number of days of the simulation +# #are not needed for the results + +# #The bin_read option allows for the model to be run all at once and +# #then the binary file is read. The reporting timesteps are based on the +# #reporting timestep from the inp file. If not, the results +# #are read at each timestep from the msx model run. + +# if bin_read=='no': + +# #Extract the indicies and names for the species of interest +# if (species=='all'): +# species_names=[] +# #Get the number of species 3 for species +# species_num=msx.MSXgetcount(3) +# #Get a list for the species id's +# for i in range(species_num): +# species_names.append(msx.MSXgetID(3,i+1)) +# #get an array for the species indicies +# species_ind=np.linspace(1,species_num,species_num) + +# #If there is a user supplied list of species to be extracted +# else: +# #Make the user-input list the variable species_names +# species_names=species +# #Extract the indicies for the species being specified +# species_ind=[] +# for i in range(len(species_names)): +# species_ind.append(msx.MSXgetindex(3,species_names[i])) + +# #Extract the node indicies for the specified nodes +# if (nodes=='all'): +# node_names=[] +# #Get the number of nodes- 0 for nodes +# node_num=epa.ENgetcount(0) +# #Get a list for the node id's +# for i in range(node_num): +# node_names.append(epa.ENgetnodeid(i+1)) +# #Get an array for the node indicies +# node_ind=np.linspace(1,node_num,node_num) + +# #If there are actual nodes specified to be extracted +# else: +# #Make the user-input list the variable node_names +# node_names=nodes +# #Extract the indicies for the nodes being specified +# node_ind=[] +# for i in range(len(node_names)): +# node_ind.append(epa.ENgetnodeindex(node_names[i])) + +# #Do the same but for links + +# #Extract the link indicies for the specified nodes +# if (links=='all'): +# link_names=[] +# #Get the number of links- 2 for links +# link_num=epa.ENgetcount(2) +# #Get a list for the link id's +# for i in range(link_num): +# link_names.append(epa.ENgetlinkid(i+1)) +# #Get an array for the node indicies +# link_ind=np.linspace(1,link_num,link_num) + +# #If there are actual nodes specified to be extracted +# else: +# #Make the user-input list the variable node_names +# link_names=links +# #Extract the indicies for the nodes being specified +# link_ind=[] +# for i in range(len(link_names)): +# link_ind.append(epa.ENgetlinkindex(link_names[i])) + + + +# #Create array to extract the time of the simulation steps +# T=[] + +# #Initialize MSX for first timestep +# msx.MSXinit(0) + +# #Initialize time left +# t_left=1 + +# #Create overall results dictionary +# results={} + +# #If organized by species +# if (by_species=='yes'): +# #Create a new dictionary for each species and then within each species +# #make a node and link list +# for i in range(len(species_names)): +# results[species_names[i]]={} +# results[species_names[i]]['node']=[] +# results[species_names[i]]['link']=[] + +# #If organized by element +# if (by_species=='no'): +# #Create node key and another dictionary +# results['node']={} +# #Create link key and another dictionary +# results['link']={} + +# #Within each dictionary make a list to be populated later during model run +# #nodes +# for i in range(len(node_names)): +# results['node'][node_names[i]]=[] +# #links +# for i in range(len(link_names)): +# results['link'][link_names[i]]=[] + + +# #Change the input of t_start from days to seconds +# t_start=t_start*24*60*60 + + +# #Create loop to run model +# while (t_left>0): +# #Solve the quality for that timestep +# [t,t_left]=msx.MSXstep() + +# #If the results should be extracted based on t_start aka the simulation +# #time has passed the time when we care about the results +# if t>t_start: + +# #Append time for that step to the overall time list +# T.append(t) + +# #If the results are to be extracted by model element +# if (by_species=='no'): +# #Extract the results from each node into a different list +# for j in range(len(node_names)): +# #Create a row for the overall results list +# Q_row=[] +# #Extract the results for each desired species at that node +# for i in range(len(species_names)): +# #0 for node #node_ind and the species_ind +# Q_row.append(msx.MSXgetqual(0,int(node_ind[j]),int(species_ind[i]))) +# results['node'][node_names[j]].append(Q_row) + +# #Extract the results from each link into a different list +# for j in range(len(link_names)): +# #Create a row for the overall results list +# Q_row=[] +# #Extract the results for each desired species at that node +# for i in range(len(species_names)): +# #0 for link #node_ind and the species_ind +# Q_row.append(msx.MSXgetqual(1,int(link_ind[j]),int(species_ind[i]))) +# results['link'][link_names[j]].append(Q_row) + +# #If the results are to be extracted by species +# if (by_species=='yes'): +# for i in range(len(species_names)): +# #First extract the nodes and then the links +# #Create empty lists for each row to be added +# Q_row_node=[] +# Q_row_link=[] + +# #Extract results by node +# for j in range(len(node_names)): +# Q_row_node.append(msx.MSXgetqual(0,int(node_ind[j]),int(species_ind[i]))) +# results[species_names[i]]['node'].append(Q_row_node) + +# #Extract results by link +# for j in range(len(link_names)): +# Q_row_link.append(msx.MSXgetqual(1,int(link_ind[j]),int(species_ind[i]))) +# results[species_names[i]]['link'].append(Q_row_link) + + + +# #After the simulation is complete go through the results one more time and +# #convert the lists into dataframes +# if (by_species=='no'): +# #Nodes +# for i in range(len(node_names)): +# results['node'][node_names[i]]=pd.DataFrame(results['node'][node_names[i]],index=T,columns=species_names) + +# #Links +# for i in range(len(link_names)): +# results['link'][link_names[i]]=pd.DataFrame(results['link'][link_names[i]],index=T,columns=species_names) + +# if (by_species=='yes'): +# #Nodes +# for i in range(len(species_names)): +# results[species_names[i]]['node']=pd.DataFrame(results[species_names[i]]['node'],index=T,columns=node_names) + +# #links +# for i in range(len(species_names)): +# results[species_names[i]]['link']=pd.DataFrame(results[species_names[i]]['link'],index=T,columns=link_names) + +# if bin_read=='yes': + +# #Solve the quality of the model +# msx.MSXsolveQ() + +# #Save quality results to binary file +# #Add the process id to the binary file name so that multiple processes are +# #not trying to read from the same file if it is run in parallel +# filename='results_temp'+str(os.getpid())+'.bin' +# msx.MSXsaveoutfile(filename) + +# #def MSXBinReader(filename, epanetinpfile): + +# #This code is from Jon Buckhardt that I lightly edited +# duration=epa.ENgettimeparam(0) +# with open(filename, 'rb') as fin: +# ftype = '=f4' +# idlen = 32 +# prolog = np.fromfile(fin, dtype = np.int32, count = 6) +# magic1 = prolog[0] +# version = prolog[1] +# nnodes = prolog[2] +# nlinks = prolog[3] +# nspecies = prolog[4] +# reportstep = prolog[5] +# species_list = [] +# node_list = GetNodeNameList() +# link_list = GetLinkNameList() + +# for i in range(nspecies): +# species_len = int(np.fromfile(fin, dtype = np.int32, count = 1)) +# species_name = ''.join(chr(f) for f in np.fromfile(fin, dtype = np.uint8, count = species_len) if f!=0) +# species_list.append(species_name) + + +# species_mass = [] +# for i in range(nspecies): +# species_mass.append(''.join(chr(f) for f in np.fromfile(fin, dtype = np.uint8, count = 16) if f != 0)) +# timerange = range(0, duration+1, reportstep) + +# tr = len(timerange) + +# row1 = ['node']*nnodes*len(species_list)+['link']*nlinks*len(species_list) +# row2 = [] +# for i in [nnodes,nlinks]: +# for j in species_list: +# row2.append([j]*i) +# row2 = [y for x in row2 for y in x] +# row3 = [node_list for i in species_list] + [link_list for i in species_list] +# row3 = [y for x in row3 for y in x] + +# tuples = list(zip(row1, row2, row3)) +# index = pd.MultiIndex.from_tuples(tuples, names = ['type','species','name']) + +# try: +# data = np.fromfile(fin, dtype = np.dtype(ftype), count = tr*(len(species_list*(nnodes + nlinks)))) +# data = np.reshape(data, (tr, len(species_list*(nnodes + nlinks)))) +# except Exception as e: +# print(e) +# print ("oops") +# postlog = np.fromfile(fin, dtype = np.int32, count = 4) +# offset = postlog[0] +# numreport = postlog[1] +# errorcode = postlog[2] +# magicnew = postlog[3] +# if magic1 == magicnew: +# #print("Magic# Match") +# df_fin = pd.DataFrame(data.transpose(), index = index, columns = timerange) +# df_fin = df_fin.transpose() +# else: +# print("Magic#s do not match!") +# #return df_fin + +# #df is a multilevel index dataframe of all of the results + +# #Now I am going to repackage the results so that it fits with my struct structure +# #Of how I was doing the results before. This may take a bit of time but I want +# #things how I want them:) + +# #Create the dictionary +# results={} + +# #Go through all the nodes and put data from the dataframe into the correct place +# #in the results dictionary + +# if nodes=='all': +# nodes=GetNodeNameList() + +# if links=='all': +# links=GetLinkNameList() + +# if species=='all': +# species=GetSpeciesNameList() + + + +# if by_species=='no': + +# #Create a dictionary within the dictionary for nodes and links +# results['node']={} + +# results['link']={} + +# for i in range(len(nodes)): +# #Put the dataframe in the dictionary at the correct location +# results['node'][nodes[i]]=df_fin.loc[:,('node',species,nodes[i])] +# #Fix the index so it is no longer a multiindex +# results['node'][nodes[i]].columns=results['node'][nodes[i]].columns.droplevel(['type','name']) + +# for i in range(len(links)): +# #Put the dataframe in the dictionary at the correct location +# results['link'][links[i]]=df_fin.loc[:,('link',species,links[i])] +# #Fix the index so it is no longer a multiindex +# results['link'][links[i]].columns=results['link'][links[i]].columns.droplevel(['type','name']) + +# if by_species=='yes': + +# for i in range(len(species)): +# #Create a dictionary for that species +# results[species[i]]={} + +# #Put the concentrations of the nodes of that species in the right place +# results[species[i]]['node']=df_fin.loc[:,('node',species[i],nodes)] +# #Fix the index so it is no longer a multiindex +# results[species[i]]['node'].columns=results[species[i]]['node'].columns.droplevel(['type','species']) + +# #Put the concentrations of the links of that species in the right place +# results[species[i]]['link']=df_fin.loc[:,('link',species[i],links)] +# #Fix the index so it is no longer a multiindex +# results[species[i]]['link'].columns=results[species[i]]['link'].columns.droplevel(['type','species']) + +# #Remove the +# try: +# os.remove(filename) +# except: +# print('Error removing ' + filename) + +# return results + +# #Get a list of all the node names +# def GetNodeNameList(): +# node_names=[] +# #Get the number of nodes- 0 for nodes +# node_num=epa.ENgetcount(0) +# #Get a list for the node id's +# for i in range(node_num): +# node_names.append(epa.ENgetnodeid(i+1)) +# #Get an array for the node indicies +# #node_ind=np.linspace(1,node_num,node_num) +# return node_names + +# #Get a list of all link names +# def GetLinkNameList(): +# link_names=[] +# #Get the number of nodes- 2 for links +# link_num=epa.ENgetcount(2) +# #Get a list for the node id's +# for i in range(link_num): +# link_names.append(epa.ENgetlinkid(i+1)) +# #Get an array for the node indicies +# #node_ind=np.linspace(1,node_num,node_num) +# return link_names + + + +# #Get a list of all the species names +# def GetSpeciesNameList(): +# species_names=[] +# #Get the number of species 3 for species +# species_num=msx.MSXgetcount(3) +# #Get a list for the species id's +# for i in range(species_num): +# species_names.append(msx.MSXgetID(3,i+1)) +# return species_names + +# def GetConstantNameList(): +# #Get the name for each constant +# constant_names=[] +# #Get the number of constants +# constants_num=msx.MSXgetcount(6) +# for i in range(constants_num): +# #Get the name of each specific constant, 6 for constant +# constant_names.append(msx.MSXgetID(6,i+1)) +# return constant_names + +# def TimeToCriticalValue(results,element_type='node',element='1',species='cNH2CL',crit_val=1.46): +# #As currently written, assumes results are NOT by species and that the +# #critical value is decreasing, finding the value on the way down + +# element_results=results[element_type][element] +# chlor=element_results.loc[:,species] +# chlor=chlor[chlor>crit_val] +# t_crit=np.max(chlor.index) +# return t_crit + +# def TimeToCriticalValueSeries(chlor,crit_val=1.46): +# #Same as function above but takes a series as an input instead of the overall results dictionary + +# #As currently written, assumes results are NOT by species and that the +# #critical value is decreasing, finding the value on the way down + +# chlor=chlor[chlor>crit_val] +# t_crit=np.max(chlor.index) +# return t_crit + +# def GetConstants(con_get): +# #Returns a numpy array with the constants of a model + +# #Get the indicies of the constants of interest +# inds=[] +# for i in range(len(con_get)): +# inds.append(msx.MSXgetindex(6,con_get[i])) + +# #Make an array holding the initial value for each constant +# constants=np.zeros((len(inds),1)) +# #Populate that array with the initial value of each constant +# #IMPORTANT: Requires that the input vector is the indicies starting from 1 +# #not starting from 0 which is done in the previous for loop +# for i in range(len(inds)): +# constants[i] = msx.MSXgetconstant(inds[i]) + +# return constants + +# def GetInitialConcentration(node,species): +# #Inputs: Nodes of interest and species of interest +# #The node input is the ID of the node not the index number +# #Returns a numpy array with the initial concentration of the specified +# #Species at the specified node + + +# #Get the index of the specified node +# node_ind=epa.ENgetnodeindex(node) + + +# #Get the indicies of the species of interest +# inds=[] +# #Get the indicies of the species of interest +# for i in range(len(species)): +# inds.append(msx.MSXgetindex(3,species[i])) + +# #Make an array holding the initial value for each species +# initial_con=np.zeros((len(inds),1)) + +# #Populate that array with the initial value of each initial species at the +# #specified node, input to the function +# for i in range(len(inds)): +# initial_con[i] = msx.MSXgetinitqual(0,node_ind,inds[i]) + +# return initial_con + + +# def SetConstants(con_get,given_constants): +# #Set constants to specific values +# #con_get is a list with the IDs of the constants to be varied +# #given_constants is a numpy array of the values of the constants to be changed +# #the order of IDs in con_get must be the same as the order of the values in +# #given_constants + +# #Get the indicies of the constants of interest +# inds=[] +# for i in range(len(con_get)): +# inds.append(msx.MSXgetindex(6,con_get[i])) + +# #Populate that array with the initial value of each constant +# for i in range(len(inds)): +# msx.MSXsetconstant(inds[i],given_constants[i]) + +# def SetInitialConcentration(node,species,init_val): +# #Inputs: Nodes of interest and species of interest, and vector of species values +# #The node input is the ID of the node not the index number + +# if (len(species)!=len(init_val)): +# raise Exception('The length of species IDs list and species value array are not equal') + +# #Get the index of the specified node +# node_ind=epa.ENgetnodeindex(node) + +# #Get the indicies of the species of interest +# inds=[] +# for i in range(len(species)): +# inds.append(msx.MSXgetindex(3,species[i])) + +# #Set the species of interest to the specified values +# for i in range(len(inds)): +# msx.MSXsetinitqual(0,node_ind,inds[i],init_val[i]) + +# def SetGlobalInitialConcentration(species,init_val): + + +# #Get the number of nodes in the model +# node_num=epa.ENgetcount(0) + +# #Get the number of links- 2 for links +# link_num=epa.ENgetcount(2) + +# #Get the indicies of the species of interest +# inds=[] +# for i in range(len(species)): +# inds.append(msx.MSXgetindex(3,species[i])) + +# #Loop through each node +# #Set the species of interest to the specified values +# #For each species +# for i in range(len(inds)): +# #For each node +# for j in range(node_num): +# #j+1 because epanet indicies start from 1 not 0 like python +# msx.MSXsetinitqual(0,j+1,inds[i],init_val[i]) + +# #Loop through each species +# #Set the species of interest to the specified values +# #For each species +# for i in range(len(inds)): +# #For each link +# for j in range(link_num): +# #j+1 because epanet indicies start from 1 not 0 like python +# msx.MSXsetinitqual(1,j+1,inds[i],init_val[i]) + + + +# def GetAllNodeDemands(): +# #Get the base demands for each node +# #Get the number of nodes +# node_num=epa.ENgetcount(0) +# #Create a list to put the values +# node_demands=[] +# #Extract the demands from the model +# for i in range(node_num): +# node_demands.append(epa.ENgetnodevalue(i+1, 1)) +# #Turn the list into an array +# node_demands=np.array(node_demands) +# return node_demands + +# def SetAllNodeDemands(given_demands): +# #Get the number of nodes +# node_num=epa.ENgetcount(0) +# #Raise an error if the number of demands supplied does not match the +# #number of nodes in the model +# if (node_num!=len(given_demands)): +# raise Exception('The number of demands provided dose not match the total number of nodes in the model') +# #Set the demands in the model +# for i in range(len(given_demands)): +# epa.ENsetnodevalue(i+1, 1, given_demands[i]) + +# def SetNodeDemands(nodes,given_demands): +# #Set baseline demands in specific nodes +# for i in range(len(nodes)): +# epa.ENsetnodevalue(epa.ENgetnodeindex(nodes[i]), 1, given_demands[i]) + +# def MonochloramineSetTemp(Temp,unit,temp_cons): +# #This function changes the temperature-dependant model constants in the +# #Monochloramine Decay model (found in Wahman 2018, developed by others) + +# if unit=='F': +# #Convert to Kelvin +# Temp_k=(Temp-32)*(5/9)+273.15 +# if unit=='C': +# #Convert to Kelvin +# Temp_k=Temp+273.15 +# if unit=='K': +# #It already is in Kelvin but change the variable name +# Temp_k=Temp + +# #Set constants based on the temperature + +# #Create a list of the acceptable constants to be varied +# temp_cons_acceptable=['k1','k2','k3','AC1','AC2','AC3','KNH4','KHOCL','KH2CO3','KHCO3','KW'] + +# #Check to make sure the constants supplied are in that list +# for k in range(len(temp_cons)): +# if temp_cons[k] not in temp_cons_acceptable: +# raise Exception('One of the supplied constant names does not exist in the model') + +# #Create a list which is the same length as temp_cons +# temp_con_val_list=[None]*len(temp_cons) + +# #Loop through each value of temp_cons and populate temp_con_val_list +# for i in range(len(temp_cons)): + +# #Formule for each temperature-dependant constant are found in Wahman 2018 + +# if temp_cons[i]=='k1': +# temp_con_val_list[i]=6.6*10**8*np.exp(-1510/Temp_k) +# if temp_cons[i]=='k2': +# temp_con_val_list[i]=1.38*10**8*np.exp(-8800/Temp_k) +# if temp_cons[i]=='k3': +# temp_con_val_list[i]=3.0*10**5*np.exp(-2010/Temp_k) +# if temp_cons[i]=='AC1': +# temp_con_val_list[i]=1.05*10**7*np.exp(-2169/Temp_k) +# if temp_cons[i]=='AC2': +# temp_con_val_list[i]=8.19*10**6*np.exp(-4026/Temp_k) +# if temp_cons[i]=='AC3': +# temp_con_val_list[i]=4.2*10**31*np.exp(-22144/Temp_k) +# if temp_cons[i]=='KNH4': +# temp_con_val_list[i]=10**-(1.03*10**-4*Temp_k**2-9.21*10**-2*Temp_k+27.6) +# if temp_cons[i]=='KHOCL': +# temp_con_val_list[i]=10**-(1.18*10**-4*Temp_k**2-7.86*10**-2*Temp_k+20.5) +# if temp_cons[i]=='KH2CO3': +# temp_con_val_list[i]=10**-(1.48*10**-4*Temp_k**2-9.39*10**-2*Temp_k+21.2) +# if temp_cons[i]=='KHCO3': +# temp_con_val_list[i]=10**-(1.19*10**-4*Temp_k**2-7.99*10**-2*Temp_k+23.6) +# if temp_cons[i]=='KW': +# temp_con_val_list[i]=10**-(1.5*10**-4*Temp_k**2-1.23*10**-1*Temp_k+37.3) + +# #Take the individual values and put them in an array +# temp_con_vals=np.array(temp_con_val_list) + +# #Set the constants in the model +# SetConstants(temp_cons,temp_con_vals) + +# def MonochloramineGetTempCon(Temp,unit,con): +# #This function changes the temperature-dependant model constants in the +# #Monochloramine Decay model (found in Wahman 2018, developed by others) + +# #Input a vector of temperatures and get a vector of the desired constant + +# if unit=='F': +# #Convert to Kelvin +# Temp_k=(Temp-32)*(5/9)+273.15 +# if unit=='C': +# #Convert to Kelvin +# Temp_k=Temp+273.15 +# if unit=='K': +# #It already is in Kelvin but change the variable name +# Temp_k=Temp + +# #Set constants based on the temperature + +# #Formule for each temperature-dependant constant are found in Wahman 2018 +# if con=='k1': +# out=6.6*10**8*np.exp(-1510/Temp_k) +# if con=='k2': +# out=1.38*10**8*np.exp(-8800/Temp_k) +# if con=='k3': +# out=3.0*10**5*np.exp(-2010/Temp_k) +# if con=='AC1': +# out=1.05*10**7*np.exp(-2169/Temp_k) +# if con=='AC2': +# out=8.19*10**6*np.exp(-4026/Temp_k) +# if con=='AC3': +# out=4.2*10**31*np.exp(-22144/Temp_k) +# if con=='KNH4': +# out=10**-(1.03*10**-4*Temp_k**2-9.21*10**-2*Temp_k+27.6) +# if con=='KHOCL': +# out=10**-(1.18*10**-4*Temp_k**2-7.86*10**-2*Temp_k+20.5) +# if con=='KH2CO3': +# out=10**-(1.48*10**-4*Temp_k**2-9.39*10**-2*Temp_k+21.2) +# if con=='KHCO3': +# out=10**-(1.19*10**-4*Temp_k**2-7.99*10**-2*Temp_k+23.6) +# if con=='KW': +# out=10**-(1.5*10**-4*Temp_k**2-1.23*10**-1*Temp_k+37.3) + +# return out + +# def GenerateNormal(problem,n_sims): +# #Takes a problem (defined by the SALib package) and generates parameters for +# #model runs based on normal distributions of each parameter where the +# #mean is the mean/median of the upper/lower bounds specified and the standard +# #deviation is set so that 2 standard deviations from the mean is the upper/lower bound +# #of the value for the specified parameter + + +# #Create an empty array of the size needed +# norm_input=np.zeros((n_sims,problem['num_vars'])) +# rng=np.random.default_rng() + +# for i in range(problem['num_vars']): + +# #Mean is the middle of the upper and lower bounds specified by the problem +# mean=problem['bounds'][i].mean() +# #The standard deviation is set so that 2 standard deviations away from the +# #mean is the upper and lower bounds of the range specified by the problem +# sigma=(problem['bounds'][i].mean()-problem['bounds'][i][0])/2 +# norm_input[:,i]=rng.normal(mean,sigma,n_sims) + +# return norm_input + +# def ScaleMatrixAll(X): +# #Scales a matrix using the min/max over all of the columns instead of by each column individually +# return (X - X.min()) / (X.max() - X.min()) + +# def KMeansBestNum(scaled_2d,clust_num_test=10): +# #Find best number of kmeans clusters +# sil=[None]*(clust_num_test-1) +# random_state=170 +# for i in range(1,clust_num_test): +# n=i+1 +# #do kmeans clustering +# y_pred = KMeans(n_clusters=n, random_state=random_state).fit_predict(scaled_2d) +# #Calculate the silhouette scores +# sil[i-1]=silhouette_score(scaled_2d,y_pred) +# #Find the index where the sil score is the highest +# z=np.where(sil==np.max(sil))[0] +# num_clust_best=z[0]+2 +# #Do the clustering one more time with that number of clusters +# y_pred = KMeans(n_clusters=num_clust_best, random_state=random_state).fit_predict(scaled_2d) +# return y_pred + +# def Network2DPlot(network,color_var,size_var,title,nodes,min_scale=30,max_scale=80,show_inds='all'): + +# #Scale Information +# mult=max_scale-min_scale +# #doing the plotting +# if show_inds=='all': +# show_inds=list(np.arange(0,len(nodes))) +# node_sizes=(ScaleMatrixAll(size_var[show_inds])*mult)+min_scale +# node_sizes=node_sizes.astype(float) +# wntr.graphics.plot_network(network, pd.Series(color_var,index=nodes)[show_inds], node_size=node_sizes,title=title) + + +# def GenerateCorrDemands(group,n,n_samples,mean_group,corr_m): + +# #Assuming the same standard deviation for all nodes +# std_all=np.ones((n_samples,1))*.1 + +# #The correlation among nodes becomes: +# corr_node=np.ones((n_samples,n_samples)) + +# #Create correlation matrix for each node +# for i in range(n_samples): +# for j in range(n_samples): +# if i!=j: +# corr_node[i,j]=corr_m[group[i],group[j]] + +# #Create array for the means to add to the results +# group_arr=np.array(group) +# mean_all=np.ones((n_samples,1)) +# for i in range(np.max(np.unique(group))+1): +# mean_all[np.where(group_arr==i)[0]]=mean_group[i] + + +# signal=[] +# for i in range(len(std_all)): +# signal.append(np.random.default_rng().normal(0,1,n)) + +# # signal=np.random.default_rng().normal(0,1,(n,2)) +# # signal01=np.random.default_rng().normal(0,1,n) +# # signal02=np.random.default_rng().normal(0,1,n) + + +# std_m = np.identity(len(std_all))*std_all + +# # calc desired covariance (vc matrix) +# cov_m = np.dot(std_m, np.dot(corr_node, std_m)) +# cky = cholesky(cov_m, lower=True) + +# corr_data = np.dot(cky,signal) +# corr_data=corr_data+mean_all + +# #Transpose output so each row is each simulation and each column is a node +# corr_data=corr_data.T +# return corr_data + +# def MorrisWallEvaluate(model_pickle,species): + +# results_model=model_pickle['results'] +# nodes=model_pickle['nodes'] +# links=model_pickle['links'] +# problem=model_pickle['problem'] +# param_values_model=model_pickle['param_values'] +# inp_file=model_pickle['inp_file'] + + + +# #Extract the number of timesteps for which the model was computed +# timesteps=len(results_model[0]['node'][nodes[0]].index) +# timesteps_index=results_model[0]['node'][nodes[0]].index + +# #Create a dictionary to store the mu_star and sigma results for the model +# morris_results={} +# morris_results['mu_star']={} +# morris_results['sigma']={} + +# morris_results['mu_star']['node']={} +# morris_results['mu_star']['link']={} + +# morris_results['sigma']['node']={} +# morris_results['sigma']['link']={} + + + +# age_results={} +# age_mean={} +# age_mean['node']=pd.DataFrame() +# age_mean['link']=pd.DataFrame() + +# for l in range(len(nodes)): +# print('Evaluating Node ' + str(l+1) + ' of ' +str(len(nodes))) +# #Compute the morris values for each parameter for each timestep of the model +# #Create an array to store the mu_star values at each timestep +# mu_star_timestep=np.zeros((timesteps,problem['num_vars'])) +# sigma_timestep=np.zeros((timesteps,problem['num_vars'])) + +# #Extract the model output results for that specific timestep +# con_out=np.zeros((len(results_model),1)) +# for j in range(timesteps): +# for i in range(len(results_model)): +# con_out[i]=results_model[i]['node'][nodes[l]].loc[timesteps_index[j],species] + +# #Compute morris results +# a=morris_a.analyze(problem,param_values_model,con_out) + +# mu_star_timestep[j,:]=a['mu_star'] +# sigma_timestep[j,:]=a['sigma'] + +# #Convert mu_star_timestep into a dataframe +# mu_star_df=pd.DataFrame(mu_star_timestep,index=timesteps_index,columns=problem['names']) +# sigma_df=pd.DataFrame(sigma_timestep,index=timesteps_index,columns=problem['names']) + +# morris_results['mu_star']['node'][nodes[l]]=mu_star_df +# morris_results['sigma']['node'][nodes[l]]=sigma_df + +# #Loop through all of the simulation results and get the average +# #water age for each timestep and each node + +# #Create a dataframe to put the results into +# age_results[nodes[l]]=pd.DataFrame() +# for i in range(len(results_model)): +# age_results[nodes[l]]['S'+str(i+1)]=results_model[i]['node'][nodes[l]]['AGE'] + +# age_mean['node'][nodes[l]]=age_results[nodes[l]].mean(axis=1) + +# for l in range(len(links)): +# print('Evaluating Link ' + str(l+1) + ' of ' + str(len(links))) +# #Compute the morris values for each parameter for each timestep of the model +# #Create an array to store the mu_star values at each timestep +# mu_star_timestep=np.zeros((timesteps,problem['num_vars'])) +# sigma_timestep=np.zeros((timesteps,problem['num_vars'])) + +# #Extract the model output results for that specific timestep +# con_out=np.zeros((len(results_model),1)) +# for j in range(timesteps): +# for i in range(len(results_model)): +# con_out[i]=results_model[i]['link'][links[l]].loc[timesteps_index[j],species] + +# #Compute morris results +# a=morris_a.analyze(problem,param_values_model,con_out) + +# mu_star_timestep[j,:]=a['mu_star'] +# sigma_timestep[j,:]=a['sigma'] + +# #Convert mu_star_timestep into a dataframe +# mu_star_df=pd.DataFrame(mu_star_timestep,index=timesteps_index,columns=problem['names']) +# sigma_df=pd.DataFrame(sigma_timestep,index=timesteps_index,columns=problem['names']) + +# morris_results['mu_star']['link'][links[l]]=mu_star_df +# morris_results['sigma']['link'][links[l]]=sigma_df + +# #Loop through all of the simulation results and get the average +# #water age for each timestep and each node + +# #Create a dataframe to put the results into +# age_results[links[l]]=pd.DataFrame() +# for i in range(len(results_model)): +# age_results[links[l]]['S'+str(i+1)]=results_model[i]['link'][links[l]]['AGE'] + +# age_mean['link'][links[l]]=age_results[links[l]].mean(axis=1) + +# return morris_results,age_mean + + + \ No newline at end of file diff --git a/wntr/quality/__init__.py b/wntr/quality/__init__.py index 7c166da59..5f7c85291 100644 --- a/wntr/quality/__init__.py +++ b/wntr/quality/__init__.py @@ -5,9 +5,26 @@ # pyomo.dae # sympy -from .base import VariableType, LocationType, DynamicsType, ReactionDynamics, ReactionVariable -from .options import MultispeciesOptions -from .variables import Species, OtherTerm, InternalVariable, BulkSpecies, WallSpecies, Parameter, Coefficient, Constant -from .dynamics import RateDynamics, FormulaDynamics, EquilibriumDynamics from ..epanet.msx.exceptions import EpanetMsxException -from .model import MultispeciesReactionModel \ No newline at end of file +from .base import ( + DynamicsType, + LocationType, + ReactionDynamics, + ReactionVariable, + VariableType, +) +from .multispecies import FormulaDynamics +from .multispecies import ( + BulkSpecies, + Coefficient, + Constant, + EquilibriumDynamics, + InternalVariable, + MultispeciesQualityModel, + OtherTerm, + Parameter, + RateDynamics, + Species, + WallSpecies, +) +from .options import MultispeciesOptions diff --git a/wntr/quality/base.py b/wntr/quality/base.py index 9d63da4fd..6dc404512 100644 --- a/wntr/quality/base.py +++ b/wntr/quality/base.py @@ -4,37 +4,19 @@ The base classes for the the wntr.reaction module. Other than the enum classes, the classes in this module are all abstract and/or mixin classes, and should not be instantiated directly. - -.. rubric:: Contents - -.. autosummary:: - - VariableType - LocationType - DynamicsType - ReactionVariable - ReactionDynamics - AbstractReactionModel - LinkedVariablesMixin - ExpressionMixin - MsxObjectMixin - MSXComment - """ import abc import enum import logging from abc import ABC, abstractmethod, abstractproperty -from dataclasses import InitVar, dataclass, field +from dataclasses import InitVar, dataclass from enum import Enum, IntFlag -from typing import ( - ClassVar, - Generator, - List, - Union, -) +from typing import ClassVar, Generator, List, Union +from wntr.network.model import WaterNetworkModel +from wntr.quality.options import MultispeciesOptions +from wntr.utils.enumtools import add_get has_sympy = False try: @@ -50,10 +32,6 @@ convert_xor = None has_sympy = False -from wntr.network.model import WaterNetworkModel -from wntr.utils.enumtools import add_get -from wntr.quality.options import MultispeciesOptions - logger = logging.getLogger(__name__) HYDRAULIC_VARIABLES = [ @@ -209,14 +187,8 @@ class DynamicsType(Enum): """Alias for :attr:`FORMULA`""" -@dataclass class ReactionVariable(ABC): """The base for a reaction variable. - - Parameters - ---------- - name : str - the name/symbol of the variable """ name: str @@ -230,6 +202,29 @@ def __hash__(self) -> int: """Makes the variable hashable by hashing the `str` representation""" return hash(str(self)) + __variable_registry = None + + @property + def _variable_registry(self) -> "AbstractQualityModel": + return self.__variable_registry + + @_variable_registry.setter + def _variable_registry(self, value): + if value is not None and not isinstance(value, AbstractQualityModel): + raise TypeError("Linked model must be a RxnModelRegistry, got {}".format(type(value))) + self.__variable_registry = value + + def validate(self): + """Validate that this object is a member of the RxnModelRegistry + + Raises + ------ + TypeError + if the model registry isn't linked + """ + if not isinstance(self._variable_registry, AbstractQualityModel): + raise TypeError("This object is not connected to any RxnModelRegistry") + @abstractproperty def var_type(self) -> VariableType: """The variable type.""" @@ -244,7 +239,7 @@ def is_species(self) -> bool: True if this is a species object, False otherwise """ return self.var_type == VariableType.BULK or self.var_type == VariableType.WALL - + def is_coeff(self) -> bool: """Check to see if this variable represents a coefficient (constant or parameter). @@ -254,7 +249,7 @@ def is_coeff(self) -> bool: True if this is a coefficient object, False otherwise """ return self.var_type == VariableType.CONST or self.var_type == VariableType.PARAM - + def is_other_term(self) -> bool: """Check to see if this variable represents a function (MSX term). @@ -270,8 +265,22 @@ def symbol(self): """Representation of the variable's name as a sympy.Symbol""" return Symbol(self.name) + def to_symbolic(self, transformations=EXPR_TRANSFORMS): + """Convert to a symbolic expression. + + Parameters + ---------- + transformations : tuple of sympy transformations + transformations to apply to the expression, by default EXPR_TRANSFORMS + + Returns + ------- + sympy.Expr + the expression parsed by sympy + """ + return self.symbol + -@dataclass class ReactionDynamics(ABC): """The base for a reaction. @@ -300,6 +309,29 @@ def __hash__(self) -> int: """Makes the reaction hashable by hashing the `str` representation""" return hash(str(self)) + __variable_registry = None + + @property + def _variable_registry(self) -> "AbstractQualityModel": + return self.__variable_registry + + @_variable_registry.setter + def _variable_registry(self, value): + if value is not None and not isinstance(value, AbstractQualityModel): + raise TypeError("Linked model must be a RxnModelRegistry, got {}".format(type(value))) + self.__variable_registry = value + + def validate(self): + """Validate that this object is a member of the RxnModelRegistry + + Raises + ------ + TypeError + if the model registry isn't linked + """ + if not isinstance(self._variable_registry, AbstractQualityModel): + raise TypeError("This object is not connected to any RxnModelRegistry") + @abstractproperty def expr_type(self) -> DynamicsType: """The type of reaction dynamics being described (or, the left-hand-side of the equation)""" @@ -325,8 +357,24 @@ def to_key(cls, species, location): location = LocationType.get(location) return str(species) + "." + location.name.lower() + @abstractmethod + def to_symbolic(self, transformations=EXPR_TRANSFORMS): + """Convert to a symbolic expression. + + Parameters + ---------- + transformations : tuple of sympy transformations + transformations to apply to the expression, by default EXPR_TRANSFORMS + + Returns + ------- + sympy.Expr + the expression parsed by sympy + """ + return parse_expr(self.expression, transformations=transformations) + -class AbstractReactionModel(ABC): +class AbstractQualityModel(ABC): @abstractmethod def variables(self, var_type=None): """Generator over all defined variables, optionally limited by variable type""" @@ -366,81 +414,3 @@ def get_reaction(self, species, location=None) -> List[ReactionDynamics]: def remove_reaction(self, species, location=None): """Remove reaction(s) for a species, optionally only for one location""" raise NotImplementedError - - -class LinkedVariablesMixin: - - __variable_registry = None - - @property - def _variable_registry(self) -> AbstractReactionModel: - return self.__variable_registry - - @_variable_registry.setter - def _variable_registry(self, value): - if value is not None and not isinstance(value, AbstractReactionModel): - raise TypeError("Linked model must be a RxnModelRegistry, got {}".format(type(value))) - self.__variable_registry = value - - def validate(self): - """Validate that this object is a member of the RxnModelRegistry - - Raises - ------ - TypeError - if the model registry isn't linked - """ - if not isinstance(self._variable_registry, AbstractReactionModel): - raise TypeError("This object is not connected to any RxnModelRegistry") - - -@dataclass -class ExpressionMixin(ABC): - """A mixin class for converting an expression to a sympy Expr""" - - @abstractmethod - def to_symbolic(self, transformations=EXPR_TRANSFORMS): - """Convert to a symbolic expression. - - Parameters - ---------- - transformations : tuple of sympy transformations - transformations to apply to the expression, by default EXPR_TRANSFORMS - - Returns - ------- - sympy.Expr - the expression parsed by sympy - """ - return parse_expr(self.expression, transformations=transformations) - - -class MsxObjectMixin: - def to_msx_string(self) -> str: - """Get the expression as an EPANET-MSX input-file style string. - - Returns - ------- - str - the expression for use in an EPANET-MSX input file - """ - raise NotImplementedError - - -@dataclass -class MSXComment: - pre: List[str] = field(default_factory=list) - post: str = None - - def wrap_msx_string(self, string) -> str: - if self.pre is None or len(self.pre) == 0: - if self.post is None: - return ' ' + string - else: - return ' ' + string + ' ; ' + self.post - elif self.post is None: - return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string - else: - return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string + ' ; ' + self.post - - diff --git a/wntr/quality/dynamics.py b/wntr/quality/dynamics.py deleted file mode 100644 index 1de155200..000000000 --- a/wntr/quality/dynamics.py +++ /dev/null @@ -1,234 +0,0 @@ -# -*- coding: utf-8 -*- - -r""" -Classes for the species reactions used in reaction models. -Defines a reaction based on the type of reaction dynamics, e.g., equilibrium -or rate-of-change. The dynamics, or ``expr_type`` determine the left-hand-side of a reaction -equation, while the ``expression`` provides the right-hand-side. - -In other words, the ``expr_type``, ``species`` and ``expression`` attributes of all -reaction class objects can be read as: - -.. math:: - - expr\_type(species) = expression(vars,...). - - -For a ``RATE`` reaction, this equates to: - -.. math:: - - \frac{d}{dt}C(species) = f(vars,...) - -The classes in this module can be created directly. However, they are more -powerful when either, a) created using API calls on a :class:`~wntr.reaction.model.WaterNetworkModel`, -or, b) linked to a :class:`~wntr.reaction.model.WaterNetworkModel` model object after creation. -This allows for expressions to be validated against the variables defined in the model. - -If :class:`sympy` is installed, then there are functions available -that will convert object instances of these classes into sympy expressions -and symbols. If the instances are linked to a model, then expressions can -be expanded, validated, and even evaluated or simplified symbolically. - -.. rubric:: Contents - -.. autosummary:: - - RateDynamics - EquilibriumDynamics - FormulaDynamics - -""" -import enum -import logging -from dataclasses import InitVar, asdict, dataclass, field -from enum import Enum, IntFlag -from typing import Any, ClassVar, Dict, List, Set, Tuple, Union -from .base import MSXComment - -has_sympy = False -try: - from sympy import Float, Symbol, init_printing, symbols - from sympy.parsing import parse_expr - from sympy.parsing.sympy_parser import convert_xor, standard_transformations - - has_sympy = True -except ImportError: - sympy = None - logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") - standard_transformations = (None,) - convert_xor = None - has_sympy = False - -from wntr.network.model import WaterNetworkModel -from wntr.quality.base import EXPR_TRANSFORMS, MsxObjectMixin, VariableType - -from .base import ( - ExpressionMixin, - LinkedVariablesMixin, - DynamicsType, - LocationType, - AbstractReactionModel, - ReactionDynamics, - VariableType, -) -from .variables import Coefficient, Species, OtherTerm - -logger = logging.getLogger(__name__) - - -@dataclass(repr=False) -class RateDynamics(MsxObjectMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): - r"""Used to supply the equation that expresses the rate of change of the given species - with respect to time as a function of the other species in the model. - - .. math:: - - \frac{d}{dt} C(species) = expression - - - Parameters - ---------- - species : str - the name of the species whose reaction dynamics is being described - location : RxnLocationType or str - the location the reaction occurs (pipes or tanks) - expression : str - the expression for the reaction dynamics, which is the rate-of-change of the species concentration - note : str, optional - a note about this reaction - variable_registry : RxnModelRegistry, optional - a link to the remainder of the larger model - """ - note: Union[str, Dict[str, str]] = None - """A note or comment about this species reaction dynamics""" - variable_registry: InitVar[AbstractReactionModel] = field(default=None, compare=False) - """A link to the reaction model with variables""" - - def __post_init__(self, variable_registry): - self._variable_registry = variable_registry - - @property - def expr_type(self) -> DynamicsType: - return DynamicsType.RATE - - def to_symbolic(self, transformations=...): - return super().to_symbolic(transformations) - - def to_msx_string(self) -> str: - return "{:<12s} {:<8s} {:<32s}".format(self.expr_type.name.upper(), str(self.species), self.expression) - - def to_dict(self) -> dict: - rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) - if isinstance(self.note, str): - rep['note'] = self.note - elif isinstance(self.note, MSXComment): - rep['note'] = asdict(self.note) if self.note.pre else self.note.post - else: - rep['note'] = None - return rep - - - -@dataclass(repr=False) -class EquilibriumDynamics(MsxObjectMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): - """Used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero. - - .. math:: - - 0 = expression - - - Parameters - ---------- - species : str - the name of the species whose reaction dynamics is being described - location : RxnLocationType or str - the location the reaction occurs (pipes or tanks) - expression : str - the expression for the reaction dynamics, which should equal to zero - note : str, optional - a note about this reaction - variable_registry : RxnModelRegistry, optional - a link to the remainder of the larger model - """ - - note: Union[str, Dict[str, str]] = None - """A note or comment about this species reaction dynamics""" - variable_registry: InitVar[AbstractReactionModel] = field(default=None, compare=False) - """A link to the reaction model with variables""" - - def __post_init__(self, variable_registry): - self._variable_registry = variable_registry - - @property - def expr_type(self) -> DynamicsType: - return DynamicsType.EQUIL - - def to_symbolic(self, transformations=...): - return super().to_symbolic(transformations) - - def to_msx_string(self) -> str: - return "{:<12s} {:<8s} {:<32s}".format(self.expr_type.name.upper(), str(self.species), self.expression) - - def to_dict(self) -> dict: - rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) - if isinstance(self.note, str): - rep['note'] = self.note - elif isinstance(self.note, MSXComment): - rep['note'] = asdict(self.note) if self.note.pre else self.note.post - else: - rep['note'] = None - return rep - - -@dataclass(repr=False) -class FormulaDynamics(MsxObjectMixin, LinkedVariablesMixin, ExpressionMixin, ReactionDynamics): - """Used when the concentration of the named species is a simple function of the remaining species. - - .. math:: - - C(species) = expression - - - Parameters - ---------- - species : str - the name of the species whose reaction dynamics is being described - location : RxnLocationType or str - the location the reaction occurs (pipes or tanks) - expression : str - the expression for the reaction formula, which is used to calculate the concentration of the species - note : str, optional - a note about this reaction - variable_registry : RxnModelRegistry, optional - a link to the remainder of the larger model - """ - - note: Union[str, Dict[str, str]] = None - """A note or comment about this species reaction dynamics""" - variable_registry: InitVar[AbstractReactionModel] = field(default=None, compare=False) - """A link to the reaction model with variables""" - - def __post_init__(self, variable_registry): - self._variable_registry = variable_registry - - @property - def expr_type(self) -> DynamicsType: - return DynamicsType.FORMULA - - def to_symbolic(self, transformations=...): - return super().to_symbolic(transformations) - - def to_msx_string(self) -> str: - return "{:<12s} {:<8s} {:<32s}".format(self.expr_type.name.upper(), str(self.species), self.expression) - - def to_dict(self) -> dict: - rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) - if isinstance(self.note, str): - rep['note'] = self.note - elif isinstance(self.note, MSXComment): - rep['note'] = asdict(self.note) if self.note.pre else self.note.post - else: - rep['note'] = None - return rep diff --git a/wntr/quality/io.py b/wntr/quality/io.py index 9949293de..a0ad77e76 100644 --- a/wntr/quality/io.py +++ b/wntr/quality/io.py @@ -1,13 +1,6 @@ # coding: utf-8 """Mulispecies reaction model I/O functions. -.. rubric:: Contents - -.. autosummary:: - - to_dict - from_dict - """ import wntr.epanet.msx @@ -17,6 +10,7 @@ def to_dict(msx): + """Convert a multispecies reaction model to a dictionary representation""" from wntr import __version__ rep = dict( version="wntr-{}".format(__version__), @@ -43,3 +37,6 @@ def to_dict(msx): # for node, source in v.items(): # rep["sources"][sp][node] = source.to_dict() return rep + +def from_dict(d): + raise NotImplementedError \ No newline at end of file diff --git a/wntr/quality/library.py b/wntr/quality/library.py index 57abef32c..96bf00d5a 100644 --- a/wntr/quality/library.py +++ b/wntr/quality/library.py @@ -10,30 +10,24 @@ models - that is, sources, pipes, nodes are for a given network, and must be updated for different models. -.. autosummary:: - - nicotine - nicotine_ri - lead_ppm - """ import logging from wntr.utils.citations import Citation -from wntr.quality.model import MultispeciesReactionModel +from wntr.quality.multispecies import MultispeciesQualityModel logger = logging.getLogger(__name__) # ===================== Nicotine-chlorine model # -def nicotine() -> MultispeciesReactionModel: +def nicotine() -> MultispeciesQualityModel: """A nicotine-chlorine reaction model""" - msx = MultispeciesReactionModel() + msx = MultispeciesQualityModel() msx.name = "nicotine" msx.title = ("Nicotine - Chlorine reaction",) - msx.options.quality.area_units = "M2" - msx.options.quality.rate_units = "MIN" - msx.options.quality.timestep = 1 + msx.options.area_units = "M2" + msx.options.rate_units = "MIN" + msx.options.timestep = 1 msx.add_bulk_species("Nx", units="MG", note="Nicotine") msx.add_bulk_species("HOCL", units="MG", note="Free chlorine") msx.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") @@ -47,19 +41,20 @@ def nicotine() -> MultispeciesReactionModel: msx.add_tank_reaction("HOCL", "rate", "0") return msx + # ===================== Nicotine-chlorine reactive intermediate species # -def nicotine_ri() -> MultispeciesReactionModel: +def nicotine_ri() -> MultispeciesQualityModel: """A nicotine-chlorine reaction with a reactive intermediate""" - msx = MultispeciesReactionModel() - msx.name = 'nicotine_ri' + msx = MultispeciesQualityModel() + msx.name = "nicotine_ri" msx.title = ("Nicotine - Chlorine reaction with reactive intermediate",) # Set the options - msx.options.quality.area_units = "M2" - msx.options.quality.rate_units = "MIN" - msx.options.quality.timestep = 1 - msx.options.quality.atol = 1.0e-10 - msx.options.quality.rtol = 1.0e-10 + msx.options.area_units = "M2" + msx.options.rate_units = "MIN" + msx.options.timestep = 1 + msx.options.atol = 1.0e-10 + msx.options.rtol = 1.0e-10 # Add species msx.add_bulk_species("Nx", units="MG", note="Nicotine") msx.add_bulk_species("HOCL", units="MG", note="Free Chlorine") @@ -84,21 +79,21 @@ def nicotine_ri() -> MultispeciesReactionModel: msx.add_tank_reaction("NX2", "RATE", expression="RXNX2") return msx + # ===================== Lead plumbosolvency model # -def lead_ppm() -> MultispeciesReactionModel: +def lead_ppm() -> MultispeciesQualityModel: """A lead plumbosolvency model [BWMS20]_. .. [BWMS20] - J. B. Burkhardt, et al. (2020) - "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". - `Journal of water resources planning and management`. - **146** (12). - https://doi.org/10.1061/(asce)wr.1943-5452.0001304 + J. B. Burkhardt, et al. (2020) + "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". + `Journal of water resources planning and management`. + **146** (12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304 """ - msx = MultispeciesReactionModel() - msx.name = 'lead_ppm' + msx = MultispeciesQualityModel() + msx.name = "lead_ppm" msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" msx.desc = "Parameters for EPA HPS Simulator Model" msx.citations.append( @@ -138,13 +133,11 @@ def lead_ppm() -> MultispeciesReactionModel: "nodes": "all", "links": "all", }, - "quality": { - "timestep": 1, - "area_units": "M2", - "rate_units": "SEC", - "rtol": 1e-08, - "atol": 1e-08, - }, + "timestep": 1, + "area_units": "M2", + "rate_units": "SEC", + "rtol": 1e-08, + "atol": 1e-08, } msx.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") msx.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-1) * s^(-1)") @@ -152,4 +145,4 @@ def lead_ppm() -> MultispeciesReactionModel: msx.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") msx.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") msx.add_tank_reaction("PB2", "RATE", expression="0") - return msx \ No newline at end of file + return msx diff --git a/wntr/quality/model.py b/wntr/quality/multispecies.py similarity index 56% rename from wntr/quality/model.py rename to wntr/quality/multispecies.py index 2a361a479..36d9f106c 100644 --- a/wntr/quality/model.py +++ b/wntr/quality/multispecies.py @@ -1,15 +1,11 @@ # -*- coding: utf-8 -*- """ -Water quality reactions model. - -.. rubric:: Contents - -.. autosummary:: - - MultispeciesReactionModel +Multispecies water quality model and elements. +This module contains concrete instantiations of the abstract classes described in :class:`wntr.quality.base`. """ +import enum import logging import warnings from collections.abc import MutableMapping @@ -29,9 +25,27 @@ Union, ) +import wntr.quality.io +from wntr.epanet.util import ENcomment from wntr.network.elements import Source +from wntr.network.model import WaterNetworkModel +from wntr.utils.citations import Citation from wntr.utils.disjoint_mapping import DisjointMapping, KeyExistsError +from .base import ( + EXPR_TRANSFORMS, + HYDRAULIC_VARIABLES, + RESERVED_NAMES, + SYMPY_RESERVED, + AbstractQualityModel, + DynamicsType, + LocationType, + ReactionDynamics, + ReactionVariable, + VariableType, +) +from .options import MultispeciesOptions + has_sympy = False try: from sympy import Float, Symbol, init_printing, symbols @@ -46,50 +60,610 @@ convert_xor = None has_sympy = False -import wntr.quality.io -from wntr.network.model import WaterNetworkModel -from wntr.utils.citations import Citation - -from .base import ( - HYDRAULIC_VARIABLES, - SYMPY_RESERVED, - DynamicsType, - LinkedVariablesMixin, - LocationType, - ReactionDynamics, - AbstractReactionModel, - ReactionVariable, - VariableType, -) -from .dynamics import EquilibriumDynamics, FormulaDynamics, RateDynamics -from .options import MultispeciesOptions -from .variables import ( - BulkSpecies, - Coefficient, - Constant, - InternalVariable, - OtherTerm, - Parameter, - Species, - WallSpecies, -) logger = logging.getLogger(__name__) -__all__ = ["MultispeciesReactionModel"] + +class Species(ReactionVariable): + def __init__( + self, + name: str, + units: str, + atol: float = None, + rtol: float = None, + note: Union[str, Dict[str, str]] = None, + diffusivity: float = None, + *, + _qm: AbstractQualityModel = None, + ): + """A species in a multispecies water quality model. + + Parameters + ---------- + name : str + The name (symbol) for the variable, must be a valid MSX name + units : str + The units used for this species + atol : float, optional + The absolute tolerance to use when solving for this species, by default None + rtol : float, optional + The relative tolerance to use when solving for this species, by default None + note : str or dict, optional + A note about this species, by default None + diffusivity : float, optional + The diffusivity value for this species, by default None + + Keyword Args + ------------ + _qm : AbstractQualityModel, optional, keyword-only + the model this variable is being added to, by default None + + Raises + ------ + ValueError + if ``name`` is a reserved name + """ + if name in RESERVED_NAMES: + raise ValueError("Name cannot be a reserved name") + self.name = name + """The name (symbol) for the variable, must be a valid MSX name""" + self.units = units + """The units used for this species""" + self.note = note + """A note about this species, by default None""" + self.diffusivity = diffusivity + """The diffusivity value for this species, by default None""" + if atol is not None: + atol = float(atol) + if rtol is not None: + rtol = float(rtol) + if (atol is None) ^ (rtol is None): + raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) + self._atol = atol + self._rtol = rtol + self._variable_registry = _qm + + def __repr__(self): + return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.units), self._atol, self._rtol, repr(self.note)) + + def __eq__(self, other): + return ( + isinstance(other, self.__class__) + and self.name == other.name + and self.units == other.units + and self.diffusivity == other.diffusivity + and self._atol == other._atol + and self._rtol == other._rtol + ) + + def get_tolerances(self) -> Tuple[float, float]: + """Get the species-specific solver tolerances. + + Returns + ------- + two-tuple or None + the absolute and relative tolerances, or None if the global values should be used + """ + if self._atol is not None and self._rtol is not None: + return (self._atol, self._rtol) + return None + + def set_tolerances(self, absolute: float, relative: float): + """Set the species-specific solver tolerances. Using ``None`` for both will + clear the tolerances, though using :func:`clear_tolerances` is clearer code. + + Parameters + ---------- + absolute : float + the absolute solver tolerance + relative : float + the relative solver tolerance + + Raises + ------ + TypeError + if both absolute and relative are not the same type + ValueError + if either value is less-than-or-equal-to zero + """ + if absolute is None and relative is None: + self._atol = self._rtol = None + return + try: + if not isinstance(absolute, float): + absolute = float(absolute) + if not isinstance(relative, float): + relative = float(relative) + except Exception as e: + raise TypeError("absolute and relative must be the same type, got {} and {}".format(absolute, relative)) + if absolute <= 0: + raise ValueError("Absolute tolerance must be greater than 0") + if relative <= 0: + raise ValueError("Relative tolerance must be greater than 0") + self._atol = absolute + self._rtol = relative + + def clear_tolerances(self): + """Resets both tolerances to ``None`` to use the global values.""" + self._atol = self._rtol = None + + def to_dict(self): + rep = dict(name=self.name, unist=self.units) + tols = self.get_tolerances() + if tols is not None: + rep["atol"] = tols[0] + rep["rtol"] = tols[1] + rep["diffusivity"] = self.diffusivity + if isinstance(self.note, str): + rep["note"] = self.note + elif isinstance(self.note, ENcomment): + rep["note"] = asdict(self.note) if self.note.pre else self.note.post + else: + rep["note"] = None + return rep -class MultispeciesReactionModel(AbstractReactionModel): - """Water quality reactions model object. +class BulkSpecies(Species): + """A bulk species.""" + + @property + def var_type(self) -> VariableType: + return VariableType.BULK + + +class WallSpecies(Species): + """A wall species""" + + @property + def var_type(self) -> VariableType: + return VariableType.WALL + + +class Coefficient(ReactionVariable): + def __init__(self, name: str, global_value: float, note: Union[str, Dict[str, str]] = None, units: str = None, *, _qm: AbstractQualityModel = None): + """A coefficient, either constant or parameterized by pipe or tank, that is used in reaction expressions. + + Parameters + ---------- + name : str + the name/symbol of the coefficient + global_value : float + the global value for the coefficient + note : Union[str, Dict[str, str]], optional + a note for this variable, by default None + units : str, optional + units for this coefficient, by default None + + Keyword Args + ------------ + _qm : AbstractQualityModel, optional, keyword-only + the model this variable is being added to, by default None + + Raises + ------ + ValueError + if ``name`` is a reserved name + """ + + if name in RESERVED_NAMES: + raise ValueError("Name cannot be a reserved name") + self.name = name + """The name (symbol) for the variable, must be a valid MSX name""" + self.global_value = float(global_value) + """The global value for the coefficient""" + self.note = note + """A note about this species, by default None""" + self.units = units + """The units used for this species""" + self._variable_registry = _qm + + def __repr__(self): + return "{}(name={}, global_value={}, units={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.global_value), repr(self.units), repr(self.note)) + + def __eq__(self, other): + return isinstance(other, self.__class__) and self.name == other.name and self.global_value == other.global_value and self.units == other.units + + def get_value(self) -> float: + """Get the value of the coefficient + + Returns + ------- + float + the global value + """ + return self.global_value + + def to_dict(self): + rep = dict(name=self.name, global_value=self.global_value, units=self.units) + if isinstance(self.note, str): + rep["note"] = self.note + elif isinstance(self.note, ENcomment): + rep["note"] = asdict(self.note) if self.note.pre else self.note.post + else: + rep["note"] = None + return rep + + +class Constant(Coefficient): + """A constant coefficient for reaction expressions.""" + + @property + def var_type(self) -> VariableType: + return VariableType.CONST + + +class Parameter(Coefficient): + """A variable parameter for reaction expressions.""" + + def __init__( + self, + name: str, + global_value: float, + note: Union[str, Dict[str, str]] = None, + units: str = None, + pipe_values: Dict[str, float] = None, + tank_values: Dict[str, float] = None, + *, + _qm: AbstractQualityModel = None, + ): + """A coefficient, either constant or parameterized by pipe or tank, that is used in reaction expressions. + + Parameters + ---------- + name : str + the name/symbol of the coefficient + global_value : float + the global value for the coefficient + note : Union[str, Dict[str, str]], optional + a note for this variable, by default None + units : str, optional + units for this coefficient, by default None + pipe_values : dict, optional + the values of the parameter at specific pipes, by default None + tank_values : dict, optional + the values of the parameter at specific tanks, by default None + + Keyword Args + ------------ + _qm : AbstractQualityModel, optional, keyword-only + the model this variable is being added to, by default None + + Raises + ------ + ValueError + if ``name`` is a reserved name + """ + super().__init__(name, global_value=global_value, note=note, units=units, _qm=_qm) + self._pipe_values = pipe_values if pipe_values is not None else dict() + """A dictionary of parameter values for various pipes""" + self._tank_values = tank_values if tank_values is not None else dict() + """A dictionary of parameter values for various tanks""" + + def __eq__(self, other): + basic = isinstance(other, self.__class__) and self.name == other.name and self.global_value == other.global_value and self.units == other.units + if not basic: + return False + for k, v in self._pipe_values: + if other._pipe_values[k] != v: + return False + for k, v in self._tank_values: + if other._tank_values[k] != v: + return False + return True + + @property + def var_type(self) -> VariableType: + return VariableType.PARAM + + def get_value(self, pipe: str = None, tank: str = None) -> float: + """Get the value of the parameter, either globally or for a specific pipe or tank. + + Parameters + ---------- + pipe : str, optional + a pipe to get the value for, by default None + tank : str, optional + a tank to get the value for, by default None + + Returns + ------- + float + either a specific parameter value for the specified pipe or tank, or the global value + if nothing is specified OR if the pipe or tank requested does not have a special value. + + Raises + ------ + TypeError + if both pipe and tank are specified + """ + if pipe is not None and tank is not None: + raise TypeError("Cannot get a value for a pipe and tank at the same time - one or both must be None") + if pipe is not None: + return self._pipe_values.get(pipe, self.global_value) + if tank is not None: + return self._tank_values.get(tank, self.global_value) + return self.global_value + + @property + def pipe_values(self) -> Dict[str, float]: + """A dictionary of values, iff different from the global value, for specific pipes""" + return self._pipe_values + + @property + def tank_values(self) -> Dict[str, float]: + """A dictionary of values, iff different from the global value, for specific tanks""" + return self._tank_values + + def to_dict(self): + rep = super().to_dict() + rep["pipe_values"] = self._pipe_values.copy() + rep["tank_values"] = self._tank_values.copy() + return rep + + +@dataclass(repr=False) +class OtherTerm(ReactionVariable): + """A function definition used as a shortcut in reaction expressions (called a 'term' in EPANET-MSX) Parameters ---------- - msx_file_name : str, optional - The name of the MSX input file to read + name : str + the name/symbol of the function (term) + expression : str + the mathematical expression described by this function + note : str, optional + a note for this function, by default None + + Keyword Args + ------------ + _qm : AbstractQualityModel, optional, keyword-only + the model this variable is being added to, by default None + """ + + def __init__( + self, + name: str, + expression: str, + note: Union[str, Dict[str, str]] = None, + *, + _qm: AbstractQualityModel = None, + ): + if name in RESERVED_NAMES: + raise ValueError("Name cannot be a reserved name") + self.name = name + """The name (symbol) for the variable, must be a valid MSX name""" + self.expression = expression + """The expression this named-function is equivalent to""" + self.note = note + """A note about this function/term""" + self._variable_registry = _qm + + def __repr__(self): + return "{}(name={}, expression={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.expression), repr(self.note)) + + def __eq__(self, other): + return isinstance(other, self.__class__) and self.name == other.name and self.expression == other.expression + + @property + def var_type(self) -> VariableType: + return VariableType.TERM + + def to_symbolic(self, transformations=...): + return super().to_symbolic(transformations) + + def to_dict(self): + rep = dict(name=self.name, expression=self.expression) + if isinstance(self.note, str): + rep["note"] = self.note + elif isinstance(self.note, ENcomment): + rep["note"] = asdict(self.note) if self.note.pre else self.note.post + else: + rep["note"] = None + return rep + + +@dataclass(repr=False) +class InternalVariable(ReactionVariable): + """A hydraulic variable or a placeholder for a built-in reserved word. + + For example, "Len" is the EPANET-MSX name for the length of a pipe, and "I" is a sympy + reserved symbol for the imaginary number.""" + + def __init__( + self, + name: str, + note: Union[str, Dict[str, str]] = "internal variable - not output to MSX", + units: str = None, + ): + self.name = name + """The name (symbol) for the variable, must be a valid MSX name""" + self.note = note + """A note about this function/term""" + self.units = units + """The units used for this species""" + + def __repr__(self): + return "{}(name={}, note={}, units={})".format(self.__class__.__name__, repr(self.name), repr(self.note), repr(self.units)) + + def __eq__(self, other): + return isinstance(other, self.__class__) and self.name == other.name + @property + def var_type(self) -> VariableType: + return VariableType.INTERNAL + + +@dataclass(repr=False) +class RateDynamics(ReactionDynamics): + r"""A rate-of-change reaction dynamics expression. + + Used to supply the equation that expresses the rate of change of the given species + with respect to time as a function of the other species in the model. + + .. math:: + + \frac{d}{dt} C(species) = expression + + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction dynamics, which is the rate-of-change of the species concentration + note : str, optional + a note about this reaction + + Keyword Args + ------------ + _qm : AbstractQualityModel, optional, keyword-only + the model this variable is being added to, by default None + """ + + def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): + self.species = species + self.location = location + self.expression = expression + self.note = note + """A note or comment about this species reaction dynamics""" + self._variable_registry = _qm + + @property + def expr_type(self) -> DynamicsType: + return DynamicsType.RATE + + def to_symbolic(self, transformations=...): + return super().to_symbolic(transformations) + + def to_dict(self) -> dict: + rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) + if isinstance(self.note, str): + rep["note"] = self.note + elif isinstance(self.note, ENcomment): + rep["note"] = asdict(self.note) if self.note.pre else self.note.post + else: + rep["note"] = None + return rep + + +@dataclass(repr=False) +class EquilibriumDynamics(ReactionDynamics): + """An equilibrium reaction expression. + + Used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero. + + .. math:: + + 0 = expression + + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction dynamics, which should equal to zero + note : str, optional + a note about this reaction + + Keyword Args + ------------ + _qm : AbstractQualityModel, optional, keyword-only + the model this variable is being added to, by default None + + """ + + def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): + self.species = species + self.location = location + self.expression = expression + self.note = note + """A note or comment about this species reaction dynamics""" + self._variable_registry = _qm + + @property + def expr_type(self) -> DynamicsType: + return DynamicsType.EQUIL + + def to_symbolic(self, transformations=...): + return super().to_symbolic(transformations) + + def to_dict(self) -> dict: + rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) + if isinstance(self.note, str): + rep["note"] = self.note + elif isinstance(self.note, ENcomment): + rep["note"] = asdict(self.note) if self.note.pre else self.note.post + else: + rep["note"] = None + return rep + + +@dataclass(repr=False) +class FormulaDynamics(ReactionDynamics): + """A formula based reaction dynamics. + + Used when the concentration of the named species is a simple function of the remaining species. + + .. math:: + + C(species) = expression + + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction formula, which is used to calculate the concentration of the species + note : str, optional + a note about this reaction + + Keyword Args + ------------ + _qm : RxnModelRegistry, optional + a link to the remainder of the larger model """ + def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): + self.species = species + self.location = location + self.expression = expression + self.note = note + """A note or comment about this species reaction dynamics""" + self._variable_registry = _qm + + @property + def expr_type(self) -> DynamicsType: + return DynamicsType.FORMULA + + def to_symbolic(self, transformations=...): + return super().to_symbolic(transformations) + + def to_dict(self) -> dict: + rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) + if isinstance(self.note, str): + rep["note"] = self.note + elif isinstance(self.note, ENcomment): + rep["note"] = asdict(self.note) if self.note.pre else self.note.post + else: + rep["note"] = None + return rep + + +class MultispeciesQualityModel(AbstractQualityModel): def __init__(self, msx_file_name=None): + """Water quality reactions model object. + + Parameters + ---------- + msx_file_name : str, optional + The name of the MSX input file to read + + """ self.name: str = None """A one-line title for the model""" @@ -245,7 +819,7 @@ def add_variable(self, var_or_type: Union[ReactionVariable, VariableType], name: raise KeyExistsError("A variable with this name already exists in the model") typ = __variable.var_type name = __variable.name - if isinstance(__variable, LinkedVariablesMixin): + if hasattr(__variable, "_variable_registry"): __variable._variable_registry = self if typ is VariableType.BULK or typ is VariableType.WALL: self._variables.add_item_to_group("species", name, __variable) @@ -307,9 +881,9 @@ def add_species( if (atol is None) ^ (rtol is None): raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) if species_type is VariableType.BULK: - var = BulkSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, variable_registry=self) + var = BulkSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, _qm=self) elif species_type is VariableType.WALL: - var = WallSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, variable_registry=self) + var = WallSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, _qm=self) self._species[name] = var self._inital_quality[name] = dict([("global", None), ("nodes", dict()), ("links", dict())]) self._sources[name] = dict() @@ -416,9 +990,9 @@ def add_coefficient( if self._is_variable_registered(name): raise KeyExistsError("The variable {} already exists in this model".format(name)) if coeff_type is VariableType.CONST: - var = Constant(name=name, global_value=global_value, note=note, units=units, variable_registry=self) + var = Constant(name=name, global_value=global_value, note=note, units=units, _qm=self) elif coeff_type is VariableType.PARAM: - var = Parameter(name=name, global_value=global_value, note=note, units=units, variable_registry=self, **kwargs) + var = Parameter(name=name, global_value=global_value, note=note, units=units, _qm=self, **kwargs) self._coeffs[name] = var return var @@ -486,7 +1060,7 @@ def add_parameterized_coeff( VariableNameExistsError if a variable with this name already exists in the model """ - return self.add_coefficient(VariableType.PARAM, name=name, global_value=global_value, note=note, units=units, _pipe_values=pipe_values, _tank_values=tank_values) + return self.add_coefficient(VariableType.PARAM, name=name, global_value=global_value, note=note, units=units, pipe_values=pipe_values, tank_values=tank_values) def add_other_term(self, name: str, expression: str, note: str = None) -> OtherTerm: """Add a new user-defined function to the model. @@ -516,7 +1090,7 @@ def add_other_term(self, name: str, expression: str, note: str = None) -> OtherT """ if self._is_variable_registered(name): raise KeyExistsError("The variable {} already exists in this model".format(name)) - var = OtherTerm(name=name, expression=expression, note=note, variable_registry=self) + var = OtherTerm(name=name, expression=expression, note=note, _qm=self) self._terms[name] = var return var @@ -536,7 +1110,7 @@ def remove_variable(self, name: str): def get_variable(self, name: str) -> ReactionVariable: """Get a variable based on its name (symbol). - + Parameters ---------- name : str @@ -616,11 +1190,11 @@ def add_reaction(self, location: LocationType, species: Union[str, Species], dyn dynamics = DynamicsType.get(dynamics) new = None if dynamics is DynamicsType.EQUIL: - new = EquilibriumDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) + new = EquilibriumDynamics(species=species, location=location, expression=expression, note=note, _qm=self) elif dynamics is DynamicsType.RATE: - new = RateDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) + new = RateDynamics(species=species, location=location, expression=expression, note=note, _qm=self) elif dynamics is DynamicsType.FORMULA: - new = FormulaDynamics(species=species, location=location, expression=expression, note=note, variable_registry=self) + new = FormulaDynamics(species=species, location=location, expression=expression, note=note, _qm=self) else: raise ValueError("Invalid dynamics type, {}".format(dynamics)) if location is LocationType.PIPE: diff --git a/wntr/quality/options.py b/wntr/quality/options.py index 1f113f52e..00656d325 100644 --- a/wntr/quality/options.py +++ b/wntr/quality/options.py @@ -11,11 +11,68 @@ logger = logging.getLogger(__name__) +class ReportOptions(_OptionsBase): + """ + Options related to EPANET-MSX report outputs. + + Parameters + ---------- + report_filename : str + Provides the filename to use for outputting an EPANET report file, + by default this will be the prefix plus ".rpt". + + species : dict[str, bool] + Output species concentrations + + species_precision : dict[str, float] + Output species concentrations with the specified precision + + nodes : None, "ALL", or list + Output node information in report file. If a list of node names is provided, + EPANET only provides report information for those nodes. + + links : None, "ALL", or list + Output link information in report file. If a list of link names is provided, + EPANET only provides report information for those links. + + pagesize : str + Page size for EPANET report output + + + """ + + def __init__( + self, + pagesize: list = None, + report_filename: str = None, + species: Dict[str, bool] = None, + species_precision: Dict[str, float] = None, + nodes: Union[Literal["ALL"], List[str]] = None, + links: Union[Literal["ALL"], List[str]] = None, + ): + self.pagesize = pagesize + """The pagesize for the report""" + self.report_filename = report_filename + """The prefix of the report filename (will add .rpt)""" + self.species = species if species is not None else dict() + """Turn individual species outputs on and off, by default no species are output""" + self.species_precision = species_precision if species_precision is not None else dict() + """Set the output precision for the concentration of a specific species""" + self.nodes = nodes + """A list of nodes to print output for, or 'ALL' for all nodes, by default None""" + self.links = links + """A list of links to print output for, or 'ALL' for all links, by default None""" -class QualityOptions(_OptionsBase): + def __setattr__(self, name, value): + if name not in ["pagesize", "report_filename", "species", "nodes", "links", "species_precision"]: + raise AttributeError("%s is not a valid attribute of ReportOptions" % name) + self.__dict__[name] = value + + + +class MultispeciesOptions(_OptionsBase): """ - Options related to water quality modeling. These options come from - the "[OPTIONS]" section of an EPANET-MSX input file. + Multispecies quality model options. Parameters ---------- @@ -48,6 +105,10 @@ class QualityOptions(_OptionsBase): peclet : int, optional Peclet threshold for applying dispersion (MSX 2.0 or newer only), by default 1000. + + report : ReportOptions + Contains options for how for format and save report + """ def __init__( @@ -62,7 +123,8 @@ def __init__( compiler: str = "NONE", segments: int = 5000, peclet: int = 1000, - global_initial_quality: Dict[str, float] = None + global_initial_quality: Dict[str, float] = None, + report: ReportOptions = None, ): self.timestep = timestep """The timestep, in seconds, by default 360""" @@ -84,9 +146,14 @@ def __init__( """The number of segments per-pipe to use, by default 5000.""" self.peclet = peclet """The threshold for applying dispersion, by default 1000.""" + self.report = ReportOptions.factory(report) def __setattr__(self, name, value): - if name in {"timestep"}: + if name == "report": + if not isinstance(value, (ReportOptions, dict, tuple, list)): + raise ValueError("report must be a ReportOptions or convertable object") + value = ReportOptions.factory(value) + elif name in {"timestep"}: try: value = max(1, int(value)) except ValueError: @@ -102,129 +169,7 @@ def __setattr__(self, name, value): except ValueError: raise ValueError("%s must be a number", name) elif name not in ["area_units", "rate_units", "solver", "coupling", "compiler"]: - raise AttributeError("%s is not a valid attribute of QualityOptions" % name) - self.__dict__[name] = value - - -class ReportOptions(_OptionsBase): - """ - Options related to EPANET report outputs. - The values in this options class *do not* affect the behavior of the WNTRSimulator. - These only affect what is written to an EPANET INP file and the results that are - in the EPANET-created report file. - - Parameters - ---------- - report_filename : str - Provides the filename to use for outputting an EPANET report file, - by default this will be the prefix plus ".rpt". - - species : dict[str, bool] - Output species concentrations - - species_precision : dict[str, float] - Output species concentrations with the specified precision - - nodes : None, "ALL", or list - Output node information in report file. If a list of node names is provided, - EPANET only provides report information for those nodes. - - links : None, "ALL", or list - Output link information in report file. If a list of link names is provided, - EPANET only provides report information for those links. - - pagesize : str - Page size for EPANET report output - - - """ - - def __init__( - self, - pagesize: list = None, - report_filename: str = None, - species: Dict[str, bool] = None, - species_precision: Dict[str, float] = None, - nodes: Union[Literal['ALL'], List[str]] = None, - links: Union[Literal['ALL'], List[str]] = None, - ): - self.pagesize = pagesize - """The pagesize for the report""" - self.report_filename = report_filename - """The prefix of the report filename (will add .rpt)""" - self.species = species if species is not None else dict() - """Turn individual species outputs on and off, by default no species are output""" - self.species_precision = species_precision if species_precision is not None else dict() - """Set the output precision for the concentration of a specific species""" - self.nodes = nodes - """A list of nodes to print output for, or 'ALL' for all nodes, by default None""" - self.links = links - """A list of links to print output for, or 'ALL' for all links, by default None""" - - def __setattr__(self, name, value): - if name not in ["pagesize", "report_filename", "species", "nodes", "links", "species_precision"]: - raise AttributeError("%s is not a valid attribute of ReportOptions" % name) - self.__dict__[name] = value - - -class UserOptions(_OptionsBase): - """ - Options defined by the user. - - Provides an empty class that accepts getattribute and setattribute methods to - create user-defined options. For example, if using WNTR for uncertainty - quantification, certain options could be added here that would never be - used directly by WNTR, but which would be saved on pickling and could be - used by the user-built analysis scripts. - - """ - - def __init__(self, **kwargs): - for k, v in kwargs.items(): - self.__dict__[k] = v - - -class MultispeciesOptions(_OptionsBase): - """ - Water network model options class. - - These options mimic options in EPANET. - The `user` attribute is a generic python class object that allows for - dynamically created attributes that are user specific. - - Parameters - ---------- - quality : QualityOptions - Contains water quality simulation options and source definitions - - report : ReportOptions - Contains options for how for format and save report - - user : dict - An empty dictionary that allows for user specified options - - - """ - - def __init__(self, report: ReportOptions = None, quality: QualityOptions = None, user: UserOptions = None): - self.report = ReportOptions.factory(report) - self.quality = QualityOptions.factory(quality) - self.user = UserOptions.factory(user) - - def __setattr__(self, name, value): - if name == "report": - if not isinstance(value, (ReportOptions, dict, tuple, list)): - raise ValueError("report must be a ReportOptions or convertable object") - value = ReportOptions.factory(value) - elif name == "quality": - if not isinstance(value, (QualityOptions, dict, tuple, list)): - raise ValueError("quality must be a QualityOptions or convertable object") - value = QualityOptions.factory(value) - elif name == "user": - value = UserOptions.factory(value) - else: - # elif name not in ["title"]: - raise ValueError("%s is not a valid member of WaterNetworkModel") + raise ValueError("%s is not a valid member of MultispeciesOptions") self.__dict__[name] = value def to_dict(self): diff --git a/wntr/quality/variables.py b/wntr/quality/variables.py deleted file mode 100644 index c70017dc8..000000000 --- a/wntr/quality/variables.py +++ /dev/null @@ -1,362 +0,0 @@ -# -*- coding: utf-8 -*- - -""" -Classes for variables used in reaction dynamics definitions. -Defines species (chemical or biological), coefficients for equations, -"term-functions", i.e., named functions that are called "terms" in -EPANET-MSX, and internal variables, such as hydraulic variables. - -The classes in this module can be created directly. However, they are more -powerful when either, a) created using API calls on a :class:`~wntr.reaction.model.WaterNetworkModel`, -or, b) linked to a :class:`~wntr.reaction.model.WaterNetworkModel` model object after creation. -This allows for variables to be validated against other variables in the model, -avoiding naming conflicts and checking that terms used in a term-function have -been defined. - -If :class:`sympy` is installed, then there are functions available -that will convert object instances of these classes into sympy expressions -and symbols. If the instances are linked to a model, then expressions can -be expanded, validated, and even evaluated or simplified symbolically. - -.. rubric:: Contents - -.. autosummary:: - - Species - BulkSpecies - WallSpecies - Coefficient - Constant - Parameter - OtherTerm - InternalVariable - -""" - -import enum -import logging -import warnings -from dataclasses import InitVar, asdict, dataclass, field -from enum import Enum, IntFlag -from typing import Any, ClassVar, Dict, List, Set, Tuple, Union -from .base import MSXComment - -has_sympy = False -try: - from sympy import Float, Symbol, init_printing, symbols - from sympy.parsing import parse_expr - from sympy.parsing.sympy_parser import convert_xor, standard_transformations - - has_sympy = True -except ImportError: - sympy = None - logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") - standard_transformations = (None,) - convert_xor = None - has_sympy = False - -from wntr.network.model import WaterNetworkModel -from wntr.quality.base import EXPR_TRANSFORMS - -from .base import ( - RESERVED_NAMES, - ExpressionMixin, - LinkedVariablesMixin, - MsxObjectMixin, - AbstractReactionModel, - ReactionVariable, - VariableType, -) - -logger = logging.getLogger(__name__) - - -@dataclass(repr=False) -class Species(MsxObjectMixin, LinkedVariablesMixin, ReactionVariable): - - units: str - """The unit used for this species""" - atol: InitVar[float] = None - """The absolute tolerance to use when solving for this species, by default None""" - rtol: InitVar[float] = None - """The relative tolerance to use when solving for this species, by default None""" - note: Union[str, Dict[str, str]] = None - """A note about this species, by default None""" - diffusivity: float = None - """The diffusivity value for this species, by default None""" - variable_registry: InitVar[AbstractReactionModel] = None - - def __post_init__(self, atol=None, rtol=None, reaction_model=None): - if isinstance(atol, property): - atol = None - elif atol is not None: - atol = float(atol) - if isinstance(rtol, property): - rtol = None - elif rtol is not None: - rtol = float(rtol) - if self.name in RESERVED_NAMES: - raise ValueError("Name cannot be a reserved name") - if (atol is None) ^ (rtol is None): - raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) - self._atol = atol - self._rtol = rtol - self._variable_registry = reaction_model - - def __repr__(self): - return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.units), self._atol, self._rtol, repr(self.note)) - - def get_tolerances(self) -> Tuple[float, float]: - """Get the species-specific solver tolerances. - - Returns - ------- - two-tuple or None - the absolute and relative tolerances, or None if the global values should be used - """ - if self._atol is not None and self._rtol is not None: - return (self._atol, self._rtol) - return None - - def set_tolerances(self, absolute: float, relative: float): - """Set the species-specific solver tolerances. Using ``None`` for both will - clear the tolerances, though using :func:`clear_tolerances` is clearer code. - - Parameters - ---------- - absolute : float - the absolute solver tolerance - relative : float - the relative solver tolerance - - Raises - ------ - TypeError - if both absolute and relative are not the same type - ValueError - if either value is less-than-or-equal-to zero - """ - if absolute is None and relative is None: - self._atol = self._rtol = None - return - try: - if not isinstance(absolute, float): - absolute = float(absolute) - if not isinstance(relative, float): - relative = float(relative) - except Exception as e: - raise TypeError("absolute and relative must be the same type, got {} and {}".format(absolute, relative)) - if absolute <= 0: - raise ValueError("Absolute tolerance must be greater than 0") - if relative <= 0: - raise ValueError("Relative tolerance must be greater than 0") - self._atol = absolute - self._rtol = relative - - def clear_tolerances(self): - """Resets both tolerances to ``None`` to use the global values.""" - self._atol = self._rtol = None - - def to_msx_string(self) -> str: - tols = self.get_tolerances() - if tols is None: - tolstr = "" - else: - tolstr = " {:12.6g} {:12.6g}".format(*tols) - return "{:<12s} {:<8s} {:<8s}{:s}".format( - self.var_type.name.upper(), - self.name, - self.units, - tolstr, - ) - - def to_dict(self): - rep = dict(name=self.name, unist=self.units) - tols = self.get_tolerances() - if tols is not None: - rep['atol'] = tols[0] - rep['rtol'] = tols[1] - rep['diffusivity'] = self.diffusivity - if isinstance(self.note, str): - rep['note'] = self.note - elif isinstance(self.note, MSXComment): - rep['note'] = asdict(self.note) if self.note.pre else self.note.post - else: - rep['note'] = None - return rep - - -@dataclass(repr=False) -class BulkSpecies(Species): - @property - def var_type(self) -> VariableType: - return VariableType.BULK - - -@dataclass(repr=False) -class WallSpecies(Species): - @property - def var_type(self) -> VariableType: - return VariableType.WALL - - -@dataclass(repr=False) -class Coefficient(MsxObjectMixin, LinkedVariablesMixin, ReactionVariable): - - global_value: float - note: Union[str, Dict[str, str]] = None - units: str = None - variable_registry: InitVar[AbstractReactionModel] = None - - def __post_init__(self, reaction_model): - if self.name in RESERVED_NAMES: - raise ValueError("Name cannot be a reserved name") - self.global_value = float(self.global_value) - self._variable_registry = reaction_model - - def __repr__(self): - return "{}(name={}, global_value={}, units={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.global_value), repr(self.units), repr(self.note)) - - def get_value(self) -> float: - return self.global_value - - def to_msx_string(self) -> str: - # if self.units is not None: - # post = r' ; {"units"="' + str(self.units) + r'"}' - # else: - post = '' - return "{:<12s} {:<8s} {:<16s}{}".format( - self.var_type.name.upper(), - self.name, - str(self.global_value), - post - ) - - def to_dict(self): - rep = dict(name=self.name, global_value=self.global_value, units=self.units) - if isinstance(self.note, str): - rep['note'] = self.note - elif isinstance(self.note, MSXComment): - rep['note'] = asdict(self.note) if self.note.pre else self.note.post - else: - rep['note'] = None - return rep - - -@dataclass(repr=False) -class Constant(Coefficient): - @property - def var_type(self) -> VariableType: - return VariableType.CONST - - -@dataclass(repr=False) -class Parameter(Coefficient): - - _pipe_values: Dict[str, float] = field(default_factory=dict) - """A dictionary of parameter values for various pipes""" - _tank_values: Dict[str, float] = field(default_factory=dict) - """A dictionary of parameter values for various tanks""" - - def __post_init__(self, reaction_model): - super().__post_init__(reaction_model) - if self._pipe_values is None: - self._pipe_values = dict() - if self._tank_values is None: - self._tank_values = dict() - - @property - def var_type(self) -> VariableType: - return VariableType.PARAM - - def get_value(self, pipe: str = None, tank: str = None) -> float: - if pipe is not None and tank is not None: - raise TypeError("Cannot get a value for a pipe and tank at the same time - one or both must be None") - if pipe is not None: - return self._pipe_values.get(pipe, self.global_value) - if tank is not None: - return self._tank_values.get(tank, self.global_value) - return self.global_value - - @property - def pipe_values(self) -> Dict[str, float]: - return self._pipe_values - - @property - def tank_values(self) -> Dict[str, float]: - return self._tank_values - - def to_dict(self): - rep = super().to_dict() - rep['pipe_values'] = self._pipe_values.copy() - rep['tank_values'] = self._tank_values.copy() - return rep - - -@dataclass(repr=False) -class OtherTerm(MsxObjectMixin, LinkedVariablesMixin, ExpressionMixin, ReactionVariable): - """A function definition used as a shortcut in reaction expressions (called a 'term' in EPANET-MSX) - - Parameters - ---------- - name : str - the name/symbol of the function (term) - expression : str - the mathematical expression described by this function - note : str, optional - a note for this function, by default None - variable_registry : RxnModelRegistry - the reaction model this function is a part of - """ - - expression: str - """The expression this named-function is equivalent to""" - note: Union[str, Dict[str, str]] = None - """A note about this function/term""" - variable_registry: InitVar[AbstractReactionModel] = field(default=None, compare=False) - - def __post_init__(self, reaction_model): - if self.name in RESERVED_NAMES: - raise ValueError("Name cannot be a reserved name") - self._variable_registry = reaction_model - - def __repr__(self): - return "{}(name={}, expression={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.expression), repr(self.note)) - - @property - def var_type(self) -> VariableType: - return VariableType.TERM - - def to_msx_string(self) -> str: - return "{:<8s} {:<64s}".format(self.name, self.expression) - - def to_symbolic(self, transformations=...): - return super().to_symbolic(transformations) - - def to_dict(self): - rep = dict(name=self.name, expression=self.expression) - if isinstance(self.note, str): - rep['note'] = self.note - elif isinstance(self.note, MSXComment): - rep['note'] = asdict(self.note) if self.note.pre else self.note.post - else: - rep['note'] = None - return rep - - -@dataclass(repr=False) -class InternalVariable(ReactionVariable): - """A hydraulic variable or a placeholder for a built-in reserved word. - - For example, "Len" is the EPANET-MSX name for the length of a pipe, and "I" is a sympy - reserved symbol for the imaginary number.""" - - note: str = "internal variable - not output to MSX" - units: str = None - - def __repr__(self): - return "{}(name={}, note={}, units={})".format(self.__class__.__name__, repr(self.name), repr(self.note), repr(self.units)) - - @property - def var_type(self) -> VariableType: - return VariableType.INTERNAL diff --git a/wntr/tests/test_quality_variables.py b/wntr/tests/test_quality_variables.py index a0bf23043..e14357fbb 100644 --- a/wntr/tests/test_quality_variables.py +++ b/wntr/tests/test_quality_variables.py @@ -52,7 +52,7 @@ def test_RxnVariable_values(self): self.assertEqual(const1.get_value(), const1.global_value) test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.quality.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) + param2 = wntr.quality.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) self.assertEqual(param2.get_value(), param2.global_value) self.assertEqual(param2.get_value(pipe="PIPE"), test_pipe_dict["PIPE"]) self.assertEqual(param2.get_value(pipe="FOO"), param2.global_value) @@ -67,14 +67,9 @@ def test_RxnVariable_string_functions(self): term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(str(species1), "Cl") - self.assertEqual(species1.to_msx_string(), "BULK Cl mg ;") - self.assertEqual(species2.to_msx_string(), "WALL Cl mg 0.01 0.0001 ;Testing stuff") self.assertEqual(str(const1), "Kb") self.assertEqual(str(param1), "Ka") - self.assertEqual(const1.to_msx_string(), "CONSTANT Kb 0.482 ;") - self.assertEqual(param1.to_msx_string(), "PARAMETER Ka 0.482 ;foo") self.assertEqual(str(term1), "T0") - self.assertEqual(term1.to_msx_string(), "T0 -3.2 * Kb * Cl^2 ;bar") def test_Species_tolerances(self): # """RxnSpecies(*s) tolerance settings""" @@ -87,14 +82,14 @@ def test_Species_tolerances(self): self.assertRaises(ValueError, species1.set_tolerances, -0.51, 0.01) self.assertRaises(ValueError, species1.set_tolerances, 0.0, 0.0) species1.set_tolerances(0.01, 0.0001) - self.assertEqual(species1.atol, 0.01) - self.assertEqual(species1.rtol, 0.0001) + self.assertEqual(species1._atol, 0.01) + self.assertEqual(species1._rtol, 0.0001) species1.set_tolerances(None, None) - self.assertIsNone(species1.atol) - self.assertIsNone(species1.rtol) + self.assertIsNone(species1._atol) + self.assertIsNone(species1._rtol) species2.clear_tolerances() - self.assertIsNone(species1.atol) - self.assertIsNone(species1.rtol) + self.assertIsNone(species1._atol) + self.assertIsNone(species1._rtol) self.assertIsNone(species2.get_tolerances()) def test_BulkSpecies_creation(self): @@ -107,15 +102,15 @@ def test_BulkSpecies_creation(self): self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species.var_type, wntr.quality.VariableType.BULK) - self.assertIsNone(species.atol) - self.assertIsNone(species.rtol) + self.assertIsNone(species._atol) + self.assertIsNone(species._rtol) self.assertIsNone(species.note) species = wntr.quality.BulkSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") self.assertEqual(species.var_type, wntr.quality.VariableType.BULK) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.atol, 0.01) - self.assertEqual(species.rtol, 0.0001) + self.assertEqual(species._atol, 0.01) + self.assertEqual(species._rtol, 0.0001) self.assertEqual(species.note, "Testing stuff") def test_WallSpecies_creation(self): @@ -128,15 +123,15 @@ def test_WallSpecies_creation(self): self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species.var_type, wntr.quality.VariableType.WALL) - self.assertIsNone(species.atol) - self.assertIsNone(species.rtol) + self.assertIsNone(species._atol) + self.assertIsNone(species._rtol) self.assertIsNone(species.note) species = wntr.quality.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") self.assertEqual(species.var_type, wntr.quality.VariableType.WALL) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.atol, 0.01) - self.assertEqual(species.rtol, 0.0001) + self.assertEqual(species._atol, 0.01) + self.assertEqual(species._rtol, 0.0001) self.assertEqual(species.note, "Testing stuff") def test_Constant_creation(self): @@ -162,7 +157,7 @@ def test_Parameter_creation(self): self.assertEqual(param1.note, "test") test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.quality.Parameter("Kb", 0.482, note="test", _pipe_values=test_pipe_dict, _tank_values=test_tank_dict) + param2 = wntr.quality.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) self.assertDictEqual(param2.pipe_values, test_pipe_dict) self.assertDictEqual(param2.tank_values, test_tank_dict) @@ -179,9 +174,6 @@ def test_RxnExpression_strings(self): equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") rate1 = wntr.quality.RateDynamics("Cl", wntr.quality.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") formula1 = wntr.quality.FormulaDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.to_msx_string(), "EQUIL Cl -Ka + Kb * Cl + T0 ;") - self.assertEqual(rate1.to_msx_string(), "RATE Cl -Ka + Kb * Cl + T0 ;Foo Bar") - self.assertEqual(formula1.to_msx_string(), "FORMULA Cl -Ka + Kb * Cl + T0 ;") def test_Equilibrium_creation(self): equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") @@ -203,7 +195,7 @@ def test_Formula_creation(self): self.assertEqual(formula1.expr_type, wntr.quality.DynamicsType.FORMULA) def test_WaterQualityReactionsModel_creation_specific_everything(self): - rxn_model1 = wntr.quality.MultispeciesReactionModel() + rxn_model1 = wntr.quality.MultispeciesQualityModel() bulk1 = wntr.quality.BulkSpecies("Cl", "mg") wall1 = wntr.quality.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const1 = wntr.quality.Constant("Kb", 0.482) @@ -237,7 +229,7 @@ def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - rxn_model2 = wntr.quality.MultispeciesReactionModel() + rxn_model2 = wntr.quality.MultispeciesQualityModel() self.assertRaises(ValueError, rxn_model2.add_species, wntr.quality.VariableType.CONST, "Cl", "mg") self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) From 45d597674b44e0eb9b866b84d7b22eb233bb439a Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 26 Sep 2023 10:12:45 -0600 Subject: [PATCH 028/118] Updates for testing and documentation --- wntr/epanet/msx/enums.py | 215 ++++++++ wntr/epanet/msx/exceptions.py | 3 +- wntr/epanet/msx/io.py | 205 ++++---- wntr/epanet/util.py | 10 +- wntr/network/base.py | 21 +- wntr/network/elements.py | 16 +- wntr/quality/base.py | 86 ++-- wntr/quality/library.py | 25 +- wntr/quality/multispecies.py | 487 +++++++++++++----- wntr/quality/options.py | 42 +- .../networks_for_testing/msx_example.inp | 36 ++ .../networks_for_testing/msx_example.msx | 58 +++ wntr/tests/test_epanet_msx_io.py | 42 ++ wntr/tests/test_epanet_msx_tooklit.py | 35 ++ wntr/utils/enumtools.py | 2 + 15 files changed, 969 insertions(+), 314 deletions(-) create mode 100644 wntr/tests/networks_for_testing/msx_example.inp create mode 100644 wntr/tests/networks_for_testing/msx_example.msx create mode 100644 wntr/tests/test_epanet_msx_io.py create mode 100644 wntr/tests/test_epanet_msx_tooklit.py diff --git a/wntr/epanet/msx/enums.py b/wntr/epanet/msx/enums.py index 97d31af6e..6a94ca483 100644 --- a/wntr/epanet/msx/enums.py +++ b/wntr/epanet/msx/enums.py @@ -8,6 +8,22 @@ class ObjectType(IntEnum): """The enumeration for object type used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + NODE + LINK + PIPE + TANK + SPECIES + TERM + PARAMETER + CONSTANT + PATTERN """ NODE = 0 """EPANET node""" @@ -35,6 +51,18 @@ class SourceType(IntEnum): """The enumeration for source type used in EPANET-MSX. .. warning:: These enum values start with -1. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + NOSOURCE + CONCEN + MASS + SETPOINT + FLOWPACED """ NOSOURCE = -1 """No source""" @@ -53,6 +81,15 @@ class UnitSystemType(IntEnum): """The enumeration for the units system used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + US + SI """ US = 0 """US units (ft, ft2, gal)""" @@ -65,6 +102,23 @@ class FlowUnitsType(IntEnum): """The enumeration for the flow units used in EPANET-MSX (determined from EPANET INP file read in with the toolkit). .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + CFS + GPM + MGD + IMGD + AFD + LPS + LPM + MLD + CMH + CMD """ CFS = 0 """cubic feet per second""" @@ -93,6 +147,17 @@ class MixType(IntEnum): """The enumeration for the mixing model used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + MIX1 + MIX2 + FIFO + LIFO """ MIX1 = 0 """full mixing, 1 compartment""" @@ -109,6 +174,15 @@ class SpeciesType(IntEnum): """The enumeration for species type used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + BULK + WALL """ BULK = 0 """bulk species""" @@ -121,6 +195,17 @@ class ExpressionType(IntEnum): """The enumeration for the expression type used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + NO_EXPR + RATE + FORMULA + EQUIL """ NO_EXPR = 0 """no expression defined""" @@ -137,6 +222,16 @@ class SolverType(IntEnum): """The enumeration for the solver type used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + EUL + RK5 + ROS2 """ EUL = 0 """Euler solver""" @@ -151,6 +246,15 @@ class CouplingType(IntEnum): """The enumeration for the coupling type option used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + NO_COUPLING + FULL_COUPLING """ NO_COUPLING = 0 """no coupling""" @@ -163,6 +267,17 @@ class MassUnitsType(IntEnum): """The enumeration for mass units used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + MG + UG + MOLE + MMOLE """ MG = 0 """milligrams""" @@ -179,6 +294,16 @@ class AreaUnitsType(IntEnum): """The enumeration for area units used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + FT2 + M2 + CM2 """ FT2 = 0 """square feet""" @@ -193,6 +318,17 @@ class RateUnitsType(IntEnum): """The enumeration for rate units used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + SECONDS + MINUTES + HOURS + DAYS """ SECONDS = 0 """per second""" @@ -209,6 +345,20 @@ class UnitsType(IntEnum): """The position for units used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + LENGTH_UNITS + DIAM_UNITS + AREA_UNITS + VOL_UNITS + FLOW_UNITS + CONC_UNITS + RATE_UNITS """ LENGTH_UNITS = 0 """the length unit index""" @@ -232,6 +382,22 @@ class HydVarType(IntEnum): """The enumeration for hydraulic variable used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + DIAMETER + FLOW + VELOCITY + REYNOLDS + SHEAR + FRICTION + AREAVOL + ROUGHNESS + LENGTH """ DIAMETER = 1 """pipe diameter""" @@ -259,6 +425,18 @@ class TstatType(IntEnum): """The enumeration used for time statistic in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + SERIES + AVERAGE + MINIMUM + MAXIMUM + RANGE """ SERIES = 0 """output a time series""" @@ -277,6 +455,23 @@ class OptionType(IntEnum): """The enumeration used for choosing an option in EPANET-MSX toolkit. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + AREA_UNITS_OPTION + RATE_UNITS_OPTION + SOLVER_OPTION + COUPLING_OPTION + TIMESTEP_OPTION + RTOL_OPTION + ATOL_OPTION + COMPILER_OPTION + MAXSEGMENT_OPTION + PECLETNUMBER_OPTION """ AREA_UNITS_OPTION = 0 """area units""" @@ -305,6 +500,16 @@ class CompilerType(IntEnum): """The enumeration used for specifying compiler options in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + NO_COMPILER + VC + GC """ NO_COMPILER = 0 """do not compile reaction dynamics""" @@ -319,6 +524,16 @@ class FileModeType(IntEnum): """The enumeration for file model used in EPANET-MSX. .. warning:: These enum values start with 0. + + .. rubric:: Enum Members + + The following enum names are defined, and, if using the :meth:`get` method, then + they are case insensitive and can be optionally prefixed with "MSX\_". + + .. autosummary:: + SCRATCH_FILE + SAVED_FILE + USED_FILE """ SCRATCH_FILE = 0 """use a scratch file""" diff --git a/wntr/epanet/msx/exceptions.py b/wntr/epanet/msx/exceptions.py index 1df9aabee..0faeeac71 100644 --- a/wntr/epanet/msx/exceptions.py +++ b/wntr/epanet/msx/exceptions.py @@ -55,7 +55,8 @@ @add_get(prefix="ERR_") class MsxErrorEnum(IntEnum): - """The EPANET-MSX input and toolkit error numbers, keys, and descriptions""" + """The EPANET-MSX input and toolkit error numbers, keys, and descriptions. + """ MAX_CHARS = 401 "too many characters" diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index 82a63ffa5..2d3329aec 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -53,16 +53,27 @@ def _split_line(line): class MsxFile(object): + """An EPANET-MSX input file reader. + + .. rubric:: Class Methods + .. autosummary:: + :nosignatures: + + read + write + + """ + def __init__(self): - """An MSX input file, usually ".msx" extension. - """ + self.rxn: MultispeciesQualityModel = None self.sections = dict() for sec in _INP_SECTIONS: self.sections[sec] = [] self.top_comments = [] self.patterns = dict() - def read(self, msx_file, rxn_model=None): + @classmethod + def read(cls, msx_filename: str, rxn_model: MultispeciesQualityModel = None): """ Read an EPANET-MSX input file (.msx) and load data into a water quality reactions model. Only MSX 2.0 files are recognized. @@ -81,22 +92,23 @@ def read(self, msx_file, rxn_model=None): """ if rxn_model is None: rxn_model = MultispeciesQualityModel() - self.rxn = rxn_model + obj = cls() + obj.rxn = rxn_model # if not isinstance(msx_file, list): # msx_file = [msx_file] - rxn_model.filename = msx_file + rxn_model.filename = msx_filename - self.patterns = dict() - self.top_comments = [] - self.sections = dict() + obj.patterns = dict() + obj.top_comments = [] + obj.sections = dict() for sec in _INP_SECTIONS: - self.sections[sec] = [] + obj.sections[sec] = [] def _read(): section = None lnum = 0 - edata = {"fname": msx_file} - with open(msx_file, "r", encoding=sys_default_enc) as f: + edata = {"fname": msx_filename} + with open(msx_filename, "r", encoding=sys_default_enc) as f: for line in f: lnum += 1 edata["lnum"] = lnum @@ -130,32 +142,64 @@ def _read(): logger.warning('%(fname)s:%(lnum)d: Invalid section "%(sec)s"' % edata) raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) elif section is None and line.startswith(";"): - self.top_comments.append(line[1:]) + obj.top_comments.append(line[1:]) continue elif section is None: logger.debug("Found confusing line: %s", repr(line)) raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) # We have text, and we are in a section - self.sections[section].append((lnum, line)) + obj.sections[section].append((lnum, line)) try: _read() - self._read_title() - self._read_options() - self._read_species() - self._read_coefficients() - self._read_terms() - self._read_pipes() - self._read_tanks() - self._read_sources() - self._read_quality() - self._read_parameters() - self._read_diffusivity() - self._read_patterns() - self._read_report() - return self.rxn + obj._read_title() + obj._read_options() + obj._read_species() + obj._read_coefficients() + obj._read_terms() + obj._read_pipes() + obj._read_tanks() + obj._read_source_dict() + obj._read_quality() + obj._read_parameters() + obj._read_diffusivity() + obj._read_patterns() + obj._read_report() + return obj.rxn except Exception as e: raise EpanetMsxException(200) from e + @classmethod + def write(cls, filename: str, msx: MultispeciesQualityModel): + """Write an MSX input file. + + Parameters + ---------- + filename : str + the filename to write + rxn : MultispeciesQualityModel + the multispecies reaction model + """ + obj = cls() + obj.rxn = msx + with open(filename, "w") as fout: + + fout.write("; WNTR-reactions MSX file generated {}\n".format(datetime.datetime.now())) + fout.write("\n") + obj._write_title(fout) + obj._write_options(fout) + obj._write_species(fout) + obj._write_coefficients(fout) + obj._write_terms(fout) + obj._write_pipes(fout) + obj._write_tanks(fout) + obj._write_source_dict(fout) + obj._write_quality(fout) + obj._write_diffusivity(fout) + obj._write_parameters(fout) + obj._write_patterns(fout) + obj._write_report(fout) + fout.write("; END of MSX file generated by WNTR\n") + def _read_title(self): lines = [] title = None @@ -183,25 +227,25 @@ def _read_options(self): raise EpanetMsxException(402, note="at line {} of [OPTIONS] section:\n{}".format(lnum, line)) name, val = vals[0].upper(), vals[1].upper() if name == "AREA_UNITS": - self.rxn._options.quality.area_units = val + self.rxn._options.area_units = val elif name == "RATE_UNITS": - self.rxn._options.quality.rate_units = val + self.rxn._options.rate_units = val elif name == "SOLVER": - self.rxn._options.quality.solver = val + self.rxn._options.solver = val elif name == "COUPLING": - self.rxn._options.quality.coupling = val + self.rxn._options.coupling = val elif name == "TIMESTEP": - self.rxn._options.quality.timestep = int(val) + self.rxn._options.timestep = int(val) elif name == "ATOL": - self.rxn._options.quality.atol = float(val) + self.rxn._options.atol = float(val) elif name == "RTOL": - self.rxn._options.quality.rtol = float(val) + self.rxn._options.rtol = float(val) elif name == "COMPILER": - self.rxn._options.quality.compiler = val + self.rxn._options.compiler = val elif name == "SEGMENTS": - self.rxn._options.quality.segments = int(val) + self.rxn._options.segments = int(val) elif name == "PECLET": - self.rxn._options.quality.peclet = int(val) + self.rxn._options.peclet = int(val) else: raise EpanetMsxException(403, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) except ValueError: @@ -326,7 +370,7 @@ def _read_tanks(self): else: note = ENcomment() - def _read_sources(self): + def _read_source_dict(self): lines = [] note = ENcomment() for lnum, line in self.sections["[SOURCES]"]: @@ -345,10 +389,10 @@ def _read_sources(self): typ, node, spec, strength, pat = vals if not self.rxn.has_variable(spec): raise ValueError("Undefined species in [SOURCES] section: {}".format(spec)) - if spec not in self.rxn._sources.keys(): - self.rxn._sources[spec] = dict() + if spec not in self.rxn._source_dict.keys(): + self.rxn._source_dict[spec] = dict() source = dict(source_type=typ, strength=strength, pattern=pat, note=note) - self.rxn._sources[spec][node] = source + self.rxn._source_dict[spec][node] = source except EpanetMsxException: raise except Exception as e: @@ -376,14 +420,14 @@ def _read_quality(self): raise SyntaxError("Unknown first word in [QUALITY] section") if not self.rxn.has_variable(spec): raise ValueError("Undefined species in [QUALITY] section: {}".format(spec)) - if spec not in self.rxn._inital_quality.keys(): - self.rxn._inital_quality[spec] = dict(global_value=None, nodes=dict(), links=dict()) + if spec not in self.rxn._inital_qual_dict.keys(): + self.rxn._inital_qual_dict[spec] = dict(global_value=None, nodes=dict(), links=dict()) if cmd[0].lower() == "g": - self.rxn._inital_quality[spec]["global_value"] = float(concen) + self.rxn._species[spec].initial_quality = float(concen) elif cmd[0].lower() == "n": - self.rxn._inital_quality[spec]["nodes"][netid] = float(concen) + self.rxn._inital_qual_dict[spec]["nodes"][netid] = float(concen) elif cmd[1].lower() == "l": - self.rxn._inital_quality[spec]["links"][netid] = float(concen) + self.rxn._inital_qual_dict[spec]["links"][netid] = float(concen) except EpanetMsxException: raise except Exception as e: @@ -526,36 +570,6 @@ def _read_report(self): else: note = ENcomment() - def write(self, filename: str, msx: MultispeciesQualityModel): - """Write an MSX input file. - - Parameters - ---------- - filename : str - the filename to write - rxn : MultispeciesQualityModel - the multispecies reaction model - """ - self.rxn = msx - with open(filename, "w") as fout: - - fout.write("; WNTR-reactions MSX file generated {}\n".format(datetime.datetime.now())) - fout.write("\n") - self._write_title(fout) - self._write_options(fout) - self._write_species(fout) - self._write_coefficients(fout) - self._write_terms(fout) - self._write_pipes(fout) - self._write_tanks(fout) - self._write_sources(fout) - self._write_quality(fout) - self._write_diffusivity(fout) - self._write_parameters(fout) - self._write_patterns(fout) - self._write_report(fout) - fout.write("; END of MSX file generated by WNTR\n") - def _write_title(self, fout): fout.write("[TITLE]\n") fout.write(" {}\n".format(self.rxn.title)) @@ -564,16 +578,16 @@ def _write_title(self, fout): def _write_options(self, fout): opts = self.rxn._options fout.write("[OPTIONS]\n") - fout.write(" AREA_UNITS {}\n".format(opts.quality.area_units.upper())) - fout.write(" RATE_UNITS {}\n".format(opts.quality.rate_units.upper())) - fout.write(" SOLVER {}\n".format(opts.quality.solver.upper())) - fout.write(" COUPLING {}\n".format(opts.quality.coupling.upper())) - fout.write(" TIMESTEP {}\n".format(opts.quality.timestep)) - fout.write(" ATOL {}\n".format(opts.quality.atol)) - fout.write(" RTOL {}\n".format(opts.quality.rtol)) - fout.write(" COMPILER {}\n".format(opts.quality.compiler.upper())) - fout.write(" SEGMENTS {}\n".format(opts.quality.segments)) - fout.write(" PECLET {}\n".format(opts.quality.peclet)) + fout.write(" AREA_UNITS {}\n".format(opts.area_units.upper())) + fout.write(" RATE_UNITS {}\n".format(opts.rate_units.upper())) + fout.write(" SOLVER {}\n".format(opts.solver.upper())) + fout.write(" COUPLING {}\n".format(opts.coupling.upper())) + fout.write(" TIMESTEP {}\n".format(opts.timestep)) + fout.write(" ATOL {}\n".format(opts.atol)) + fout.write(" RTOL {}\n".format(opts.rtol)) + fout.write(" COMPILER {}\n".format(opts.compiler.upper())) + fout.write(" SEGMENTS {}\n".format(opts.segments)) + fout.write(" PECLET {}\n".format(opts.peclet)) fout.write("\n") def _write_species(self, fout): @@ -670,10 +684,10 @@ def _write_tanks(self, fout): fout.write(" {}\n".format("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression))) fout.write("\n") - def _write_sources(self, fout): + def _write_source_dict(self, fout): fout.write("[SOURCES]\n") - for species in self.rxn._sources.keys(): - for node, src in self.rxn._sources[species].items(): + for species in self.rxn._source_dict.keys(): + for node, src in self.rxn._source_dict[species].items(): if isinstance(src["note"], ENcomment): fout.write( src["note"].wrap_msx_string( @@ -696,11 +710,12 @@ def _write_sources(self, fout): def _write_quality(self, fout): fout.write("[QUALITY]\n") - for species in self.rxn._inital_quality.keys(): - for typ, val in self.rxn._inital_quality[species].items(): - if typ == "global_value": - fout.write(" {:<8s} {:<8s} {}\n".format("GLOBAL", species, val)) - elif typ in ["nodes", "links"]: + for spec, species in self.rxn._species.items(): + if species.initial_quality is not None: + fout.write(" {:<8s} {:<8s} {}\n".format("GLOBAL", species.name, species.initial_quality)) + for species in self.rxn._inital_qual_dict.keys(): + for typ, val in self.rxn._inital_qual_dict[species].items(): + if typ in ["nodes", "links"]: for node, conc in val.items(): fout.write(" {:<8s} {:<8s} {:<8s} {}\n".format(typ.upper()[0:4], node, species, conc)) fout.write("\n") @@ -724,7 +739,7 @@ def _write_parameters(self, fout): def _write_patterns(self, fout): fout.write("[PATTERNS]\n") - for pattern_name, pattern in self.rxn._patterns.items(): + for pattern_name, pattern in self.rxn._pattern_dict.items(): num_columns = 10 count = 0 for i in pattern: # .multipliers: diff --git a/wntr/epanet/util.py b/wntr/epanet/util.py index 9c8fb41e5..ae97a8f56 100644 --- a/wntr/epanet/util.py +++ b/wntr/epanet/util.py @@ -35,8 +35,8 @@ class SizeLimits(enum.Enum): """ - Limits on the size of character arrays used to store ID names - and text messages. + Limits on the size of character arrays used to store ID names + and text messages. """ # // ! < Max. # characters in ID name EN_MAX_ID = 31 @@ -46,9 +46,9 @@ class SizeLimits(enum.Enum): class InitHydOption(enum.Enum): """ - Hydraulic initialization options. - These options are used to initialize a new hydraulic analysis - when EN_initH is called. + Hydraulic initialization options. + These options are used to initialize a new hydraulic analysis + when EN_initH is called. """ # !< Don't save hydraulics; don't re-initialize flows EN_NOSAVE = 0 diff --git a/wntr/network/base.py b/wntr/network/base.py index a7fc59cbb..1ce26e832 100644 --- a/wntr/network/base.py +++ b/wntr/network/base.py @@ -245,13 +245,13 @@ def tag(self, tag): @property def initial_quality(self): - """float: The initial quality (concentration) at the node""" + """float or dict: The initial quality (concentration) at the node, or a dict of species-->quality for multispecies quality""" if not self._initial_quality: return 0.0 return self._initial_quality @initial_quality.setter def initial_quality(self, value): - if value and not isinstance(value, (list, float, int)): + if value and not isinstance(value, (list, float, int, dict)): raise ValueError('Initial quality must be a float or a list') self._initial_quality = value @@ -372,6 +372,7 @@ def __init__(self, wn, link_name, start_node_name, end_node_name): # Model state variables self._user_status = LinkStatus.Opened self._internal_status = LinkStatus.Active + self._initial_quality = None self._prev_setting = None self._setting = None self._flow = None @@ -499,6 +500,18 @@ def status(self, status): " behavior, use initial_status.") # self._user_status = status + @property + def initial_quality(self): + """float or dict : The initial quality (concentration) at the node, or a dict of species and quality if multispecies""" + if not self._initial_quality: + return 0.0 + return self._initial_quality + @initial_quality.setter + def initial_quality(self, value): + if value and not isinstance(value, (list, float, int, dict)): + raise ValueError('Initial quality must be a float or a list') + self._initial_quality = value + @property def quality(self): """float : (read-only) current simulated average link quality""" @@ -591,8 +604,8 @@ class Registry(MutableMapping): """ def __init__(self, wn): - if not isinstance(wn, AbstractModel): - raise ValueError('Registry must be initialized with a model') + # if not isinstance(wn, AbstractModel): + # raise ValueError('Registry must be initialized with a model') # self._m = model self._data = OrderedDict() self._usage = OrderedDict() diff --git a/wntr/network/elements.py b/wntr/network/elements.py index 63588ae8a..6b3a9b749 100644 --- a/wntr/network/elements.py +++ b/wntr/network/elements.py @@ -2624,7 +2624,7 @@ class Source(object): """ # def __init__(self, name, node_registry, pattern_registry): - def __init__(self, model, name, node_name, source_type, strength, pattern=None): + def __init__(self, model, name, node_name, source_type, strength, pattern=None, species=None): self._strength_timeseries = TimeSeries(model._pattern_reg, strength, pattern, name) self._pattern_reg = model._pattern_reg self._pattern_reg.add_usage(pattern, (name, 'Source')) @@ -2633,6 +2633,7 @@ def __init__(self, model, name, node_name, source_type, strength, pattern=None): self._name = name self._node_name = node_name self._source_type = source_type + self._species = None def __eq__(self, other): if not type(self) == type(other): @@ -2644,8 +2645,8 @@ def __eq__(self, other): return False def __repr__(self): - fmt = "" - return fmt.format(self.name, self.node_name, self.source_type, self._strength_timeseries.base_value, self._strength_timeseries.pattern_name) + fmt = "" + return fmt.format(self.name, self.node_name, self.source_type, self._strength_timeseries.base_value, self._strength_timeseries.pattern_name, repr(self._species)) @property def strength_timeseries(self): @@ -2676,6 +2677,13 @@ def source_type(self): def source_type(self, value): self._source_type = value + @property + def species(self): + """str : species name for multispecies reactions, by default None""" + @species.setter + def species(self, value): + self._species = str(value) + def to_dict(self): ret = dict() ret['name'] = self.name @@ -2683,4 +2691,6 @@ def to_dict(self): ret['source_type'] = self.source_type ret['strength'] = self.strength_timeseries.base_value ret['pattern'] = self.strength_timeseries.pattern_name + if self.species: + ret['species'] = self.species return ret diff --git a/wntr/quality/base.py b/wntr/quality/base.py index 6dc404512..b217dd91d 100644 --- a/wntr/quality/base.py +++ b/wntr/quality/base.py @@ -10,13 +10,19 @@ import enum import logging from abc import ABC, abstractmethod, abstractproperty +from collections.abc import MutableMapping from dataclasses import InitVar, dataclass from enum import Enum, IntFlag from typing import ClassVar, Generator, List, Union +import numpy as np + +from wntr.network.base import AbstractModel from wntr.network.model import WaterNetworkModel +from wntr.network.elements import Pattern from wntr.quality.options import MultispeciesOptions from wntr.utils.enumtools import add_get +from wntr.utils.ordered_set import OrderedSet has_sympy = False try: @@ -48,16 +54,22 @@ {"name": "Av", "note": "Surface area per unit volume (area units/L) "}, {"name": "Len", "note": "Pipe length (feet or meters)"}, ] -"""The hydraulic variables defined in EPANET-MSX""" +"""The hydraulic variables defined in EPANET-MSX. + +:meta hide-value: +""" RESERVED_NAMES = tuple([v["name"] for v in HYDRAULIC_VARIABLES]) -"""The MSX reserved names as a tuple""" +"""The MSX reserved names.""" SYMPY_RESERVED = ("E", "I", "pi") """Some extra names reserved by sympy""" EXPR_TRANSFORMS = standard_transformations + (convert_xor,) -"""The sympy transforms to use in expression parsing""" +"""The sympy transforms to use in expression parsing. + +:meta hide-value: +""" @add_get(abbrev=True) @@ -67,10 +79,8 @@ class VariableType(Enum): The following types are defined, and aliases of just the first character are also defined. - .. rubric:: Valid Values - + .. rubric:: Enum Members .. autosummary:: - BULK WALL CONSTANT @@ -78,9 +88,9 @@ class VariableType(Enum): TERM INTERNAL - .. rubric:: Class methods - + .. rubric:: Class Methods .. autosummary:: + :nosignatures: get @@ -100,22 +110,15 @@ class VariableType(Enum): """An internal variable - see :attr:`~wntr.reaction.base.RESERVED_NAMES`""" B = BULK - """Alias for :attr:`BULK`""" W = WALL - """Alias for :attr:`WALL`""" C = CONSTANT - """Alias for :attr:`CONSTANT`""" P = PARAMETER - """Alias for :attr:`PARAMETER`""" T = TERM - """Alias for :attr:`TERM`""" I = INTERNAL - """Alias for :attr:`INTERNAL`""" + CONST = CONSTANT - """Alias for :attr:`CONSTANT`""" PARAM = PARAMETER - """Alias for :attr:`PARAMETER`""" - + @add_get(abbrev=True) class LocationType(Enum): @@ -124,30 +127,25 @@ class LocationType(Enum): The following types are defined, and aliases of just the first character are also defined. - - .. rubric:: Valid values - + .. rubric:: Enum Members .. autosummary:: - PIPE TANK - .. rubric:: Class methods - + .. rubric:: Class Methods .. autosummary:: - + :nosignatures: + get - """ PIPE = 1 """The expression describes a reaction in pipes""" TANK = 2 """The expression describes a reaction in tanks""" + P = PIPE - """Alias for :attr:`PIPE`""" T = TANK - """Alias for :attr:`TANK`""" @add_get(abbrev=True) @@ -157,18 +155,16 @@ class DynamicsType(Enum): The following types are defined, and aliases of just the first character are also defined. - .. rubric:: Valid values - + .. rubric:: Enum Members .. autosummary:: - EQUIL RATE FORMULA - .. rubric:: Class methods - + .. rubric:: Class Methods .. autosummary:: - + :nosignatures: + get """ @@ -179,27 +175,26 @@ class DynamicsType(Enum): """used to supply the equation that expresses the rate of change of the given species with respect to time as a function of the other species in the model""" FORMULA = 3 """used when the concentration of the named species is a simple function of the remaining species""" + E = EQUIL - """Alias for :attr:`EQUIL`""" R = RATE - """Alias for :attr:`RATE`""" F = FORMULA - """Alias for :attr:`FORMULA`""" class ReactionVariable(ABC): """The base for a reaction variable. - """ - name: str - """The name (symbol) for the variable, must be a valid MSX name""" + Attributes + ---------- + name : str + The name (symbol) for the variable, must be a valid MSX name + """ def __str__(self) -> str: """Returns the name of the variable""" return self.name def __hash__(self) -> int: - """Makes the variable hashable by hashing the `str` representation""" return hash(str(self)) __variable_registry = None @@ -284,7 +279,7 @@ def to_symbolic(self, transformations=EXPR_TRANSFORMS): class ReactionDynamics(ABC): """The base for a reaction. - Parameters + Attributes ---------- species : str the name of the species whose reaction dynamics is being described @@ -294,13 +289,6 @@ class ReactionDynamics(ABC): the expression for the reaction dynamics (right-hand-side) """ - species: str - """The name of the species that this reaction describes""" - location: LocationType - """The location this reaction occurs (pipes vs tanks)""" - expression: str - """The expression for the reaction dynamics (or, the right-hand-side of the equation)""" - def __str__(self) -> str: """Names the reaction with the format `species-dot-location` (for example, ``PB2.pipe``)""" return self.to_key(self.species, self.location) @@ -375,6 +363,8 @@ def to_symbolic(self, transformations=EXPR_TRANSFORMS): class AbstractQualityModel(ABC): + """Abstract methods any water quality model should include.""" + @abstractmethod def variables(self, var_type=None): """Generator over all defined variables, optionally limited by variable type""" diff --git a/wntr/quality/library.py b/wntr/quality/library.py index 96bf00d5a..a233f5fae 100644 --- a/wntr/quality/library.py +++ b/wntr/quality/library.py @@ -21,7 +21,13 @@ # ===================== Nicotine-chlorine model # def nicotine() -> MultispeciesQualityModel: - """A nicotine-chlorine reaction model""" + """A nicotine-chlorine reaction model. + + Returns + ------- + MultispeciesQualityModel + a new model for a nicotine-chlorine reaction + """ msx = MultispeciesQualityModel() msx.name = "nicotine" msx.title = ("Nicotine - Chlorine reaction",) @@ -45,7 +51,13 @@ def nicotine() -> MultispeciesQualityModel: # ===================== Nicotine-chlorine reactive intermediate species # def nicotine_ri() -> MultispeciesQualityModel: - """A nicotine-chlorine reaction with a reactive intermediate""" + """A nicotine-chlorine reaction with a reactive intermediate. + + Returns + ------- + MultispeciesQualityModel + a new model for a nicotine-chlorine reaction with a reactive intermediate + """ msx = MultispeciesQualityModel() msx.name = "nicotine_ri" msx.title = ("Nicotine - Chlorine reaction with reactive intermediate",) @@ -85,12 +97,19 @@ def nicotine_ri() -> MultispeciesQualityModel: def lead_ppm() -> MultispeciesQualityModel: """A lead plumbosolvency model [BWMS20]_. + Returns + ------- + MultispeciesQualityModel + a new lead plumbosolvency model + + Notes + ----- + .. [BWMS20] J. B. Burkhardt, et al. (2020) "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". `Journal of water resources planning and management`. **146** (12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304 - """ msx = MultispeciesQualityModel() msx.name = "lead_ppm" diff --git a/wntr/quality/multispecies.py b/wntr/quality/multispecies.py index 36d9f106c..4f9182cae 100644 --- a/wntr/quality/multispecies.py +++ b/wntr/quality/multispecies.py @@ -28,7 +28,7 @@ import wntr.quality.io from wntr.epanet.util import ENcomment from wntr.network.elements import Source -from wntr.network.model import WaterNetworkModel +from wntr.network.model import PatternRegistry, SourceRegistry, WaterNetworkModel from wntr.utils.citations import Citation from wntr.utils.disjoint_mapping import DisjointMapping, KeyExistsError @@ -65,6 +65,36 @@ class Species(ReactionVariable): + """A species in a multispecies water quality model. + + This is the abstract model for a water quality species. The preferred way + to create a new species is to use one of the following: + + - :meth:`MultispeciesQualityModel.add_bulk_species()` + - :meth:`MultispeciesQualityModel.add_wall_species()` + - :meth:`MultispeciesQualityModel.add_species()` + - :meth:`MultispeciesQualityModel.add_variable()` + + .. rubric:: Attributes + .. autosummary:: + name + units + note + diffusivity + var_type + """ + + name: str = None + """The name (symbol) for the variable, must be a valid MSX name""" + units: str = None + """The units used for concentration of this species""" + note: Union[str, Dict[str, str]] = None + """A note to go with this species""" + diffusivity: float = None + """A value for diffusivity for this species""" + initial_quality: float = None + """Global initial quality for this species""" + def __init__( self, name: str, @@ -73,11 +103,11 @@ def __init__( rtol: float = None, note: Union[str, Dict[str, str]] = None, diffusivity: float = None, + initial_quality: float = None, *, _qm: AbstractQualityModel = None, ): - """A species in a multispecies water quality model. - + """ Parameters ---------- name : str @@ -92,21 +122,18 @@ def __init__( A note about this species, by default None diffusivity : float, optional The diffusivity value for this species, by default None + initial_quality: float, optional + The global initial quality for this species, by default None - Keyword Args - ------------ - _qm : AbstractQualityModel, optional, keyword-only - the model this variable is being added to, by default None - - Raises - ------ - ValueError - if ``name`` is a reserved name + Other Parameters + ---------------- + _qm : MultispeciesQualityModel + the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_species()` API. """ if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") self.name = name - """The name (symbol) for the variable, must be a valid MSX name""" + """The name of the variable""" self.units = units """The units used for this species""" self.note = note @@ -204,25 +231,83 @@ def to_dict(self): class BulkSpecies(Species): - """A bulk species.""" + """A bulk species. + + The preferred way to create a new bulk species is to use one of the following: + + - :meth:`MultispeciesQualityModel.add_bulk_species()` + - :meth:`MultispeciesQualityModel.add_species()` + - :meth:`MultispeciesQualityModel.add_variable()` + + .. rubric:: Attributes + .. autosummary:: + name + units + note + diffusivity + var_type + """ @property - def var_type(self) -> VariableType: + def var_type(self): return VariableType.BULK class WallSpecies(Species): - """A wall species""" + """A wall species. + + The preferred way to create a new wall species is to use one of the following: + + - :meth:`MultispeciesQualityModel.add_wall_species()` + - :meth:`MultispeciesQualityModel.add_species()` + - :meth:`MultispeciesQualityModel.add_variable()` + + .. rubric:: Attributes + .. autosummary:: + name + units + note + diffusivity + var_type + """ @property - def var_type(self) -> VariableType: + def var_type(self): return VariableType.WALL class Coefficient(ReactionVariable): - def __init__(self, name: str, global_value: float, note: Union[str, Dict[str, str]] = None, units: str = None, *, _qm: AbstractQualityModel = None): - """A coefficient, either constant or parameterized by pipe or tank, that is used in reaction expressions. + """A coefficient, either constant or parameterized by pipe or tank, that is used in reaction expressions. + + This is the abstract model for a reaction expression coefficient. The preferred way + to create a new coefficient is to use one of the following: + + - :meth:`MultispeciesQualityModel.add_constant_coeff()` + - :meth:`MultispeciesQualityModel.add_parameterized_coeff()` + - :meth:`MultispeciesQualityModel.add_coefficient()` + - :meth:`MultispeciesQualityModel.add_variable()` + + .. rubric:: Attributes + .. autosummary:: + name + global_value + units + note + var_type + """ + + name: str = None + """The name (symbol) for the variable, must be a valid MSX name""" + units: str = None + """The units used for this variable""" + note: Union[str, Dict[str, str]] = None + """A note to go with this varibale""" + global_value: float = None + """The global value for the coefficient""" + + def __init__(self, name: str, global_value: float, note: Union[str, Dict[str, str]] = None, units: str = None, *, _qm: AbstractQualityModel = None): + """ Parameters ---------- name : str @@ -234,21 +319,15 @@ def __init__(self, name: str, global_value: float, note: Union[str, Dict[str, st units : str, optional units for this coefficient, by default None - Keyword Args - ------------ - _qm : AbstractQualityModel, optional, keyword-only - the model this variable is being added to, by default None - - Raises - ------ - ValueError - if ``name`` is a reserved name + Other Parameters + ---------------- + _qm : MultispeciesQualityModel + the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_coefficient()` API. """ - if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") self.name = name - """The name (symbol) for the variable, must be a valid MSX name""" + """The name of the variable""" self.global_value = float(global_value) """The global value for the coefficient""" self.note = note @@ -285,15 +364,47 @@ def to_dict(self): class Constant(Coefficient): - """A constant coefficient for reaction expressions.""" + """A constant coefficient for reaction expressions. + + The preferred way to create a constant coefficient is to use one of the following: + + - :meth:`MultispeciesQualityModel.add_constant_coeff()` + - :meth:`MultispeciesQualityModel.add_coefficient()` + - :meth:`MultispeciesQualityModel.add_variable()` + + .. rubric:: Attributes + .. autosummary:: + name + global_value + units + note + var_type + """ @property - def var_type(self) -> VariableType: + def var_type(self): return VariableType.CONST class Parameter(Coefficient): - """A variable parameter for reaction expressions.""" + """A variable parameter for reaction expressions. + + The preferred way to create a constant coefficient is to use one of the following: + + - :meth:`MultispeciesQualityModel.add_parameterized_coeff()` + - :meth:`MultispeciesQualityModel.add_coefficient()` + - :meth:`MultispeciesQualityModel.add_variable()` + + .. rubric:: Attributes + .. autosummary:: + name + global_value + units + note + var_type + pipe_values + tank_values + """ def __init__( self, @@ -306,8 +417,7 @@ def __init__( *, _qm: AbstractQualityModel = None, ): - """A coefficient, either constant or parameterized by pipe or tank, that is used in reaction expressions. - + """ Parameters ---------- name : str @@ -323,15 +433,10 @@ def __init__( tank_values : dict, optional the values of the parameter at specific tanks, by default None - Keyword Args - ------------ - _qm : AbstractQualityModel, optional, keyword-only - the model this variable is being added to, by default None - - Raises - ------ - ValueError - if ``name`` is a reserved name + Other Parameters + ---------------- + _qm : MultispeciesQualityModel + the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_coefficient()` API. """ super().__init__(name, global_value=global_value, note=note, units=units, _qm=_qm) self._pipe_values = pipe_values if pipe_values is not None else dict() @@ -352,7 +457,7 @@ def __eq__(self, other): return True @property - def var_type(self) -> VariableType: + def var_type(self): return VariableType.PARAM def get_value(self, pipe: str = None, tank: str = None) -> float: @@ -403,23 +508,27 @@ def to_dict(self): @dataclass(repr=False) class OtherTerm(ReactionVariable): - """A function definition used as a shortcut in reaction expressions (called a 'term' in EPANET-MSX) - - Parameters - ---------- - name : str - the name/symbol of the function (term) - expression : str - the mathematical expression described by this function - note : str, optional - a note for this function, by default None - - Keyword Args - ------------ - _qm : AbstractQualityModel, optional, keyword-only - the model this variable is being added to, by default None + """An expression term defined as a function of species, coefficients, or other terms. + + The preferred way to create a term is to use one of the following: + + - :meth:`MultispeciesQualityModel.add_other_term()` + - :meth:`MultispeciesQualityModel.add_variable()` + + .. rubric:: Attributes + .. autosummary:: + name + expression + note """ + name: str = None + """The name (symbol) for the variable, must be a valid MSX name""" + expression: str = None + """The mathematical expression this term represents""" + note: Union[str, Dict[str, str]] = None + """A note to go with this term""" + def __init__( self, name: str, @@ -428,10 +537,25 @@ def __init__( *, _qm: AbstractQualityModel = None, ): + """ + Parameters + ---------- + name : str + the name/symbol of the function (term) + expression : str + the mathematical expression described by this function + note : str, optional + a note for this function, by default None + + Other Parameters + ---------------- + _qm : MultispeciesQualityModel + the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_variable()` API. + """ if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") self.name = name - """The name (symbol) for the variable, must be a valid MSX name""" + """The name of the variable""" self.expression = expression """The expression this named-function is equivalent to""" self.note = note @@ -445,7 +569,7 @@ def __eq__(self, other): return isinstance(other, self.__class__) and self.name == other.name and self.expression == other.expression @property - def var_type(self) -> VariableType: + def var_type(self): return VariableType.TERM def to_symbolic(self, transformations=...): @@ -467,7 +591,23 @@ class InternalVariable(ReactionVariable): """A hydraulic variable or a placeholder for a built-in reserved word. For example, "Len" is the EPANET-MSX name for the length of a pipe, and "I" is a sympy - reserved symbol for the imaginary number.""" + reserved symbol for the imaginary number. + Objects of this type are instantiated when creating a new :class:`MultispeciesQualityModel`, + and should not need to be created by hand. + + .. rubric:: Attributes + .. autosummary:: + name + units + note + """ + + name: str = None + """The name (symbol) for the variable, must be a valid MSX name""" + units: str = None + """The units used for this variable""" + note: Union[str, Dict[str, str]] = None + """A note to go with this variable""" def __init__( self, @@ -475,8 +615,18 @@ def __init__( note: Union[str, Dict[str, str]] = "internal variable - not output to MSX", units: str = None, ): + """ + Parameters + ---------- + name : str + The name and symbol for the new variable + note : str or dict, optional + A note to go on the object, by default "internal variable - not output to MSX" + units : str, optional + Units used by values stored in this variable, by default None + """ self.name = name - """The name (symbol) for the variable, must be a valid MSX name""" + """The name of the variable""" self.note = note """A note about this function/term""" self.units = units @@ -489,7 +639,7 @@ def __eq__(self, other): return isinstance(other, self.__class__) and self.name == other.name @property - def var_type(self) -> VariableType: + def var_type(self): return VariableType.INTERNAL @@ -504,31 +654,52 @@ class RateDynamics(ReactionDynamics): \frac{d}{dt} C(species) = expression - Parameters - ---------- - species : str - the name of the species whose reaction dynamics is being described - location : RxnLocationType or str - the location the reaction occurs (pipes or tanks) - expression : str - the expression for the reaction dynamics, which is the rate-of-change of the species concentration - note : str, optional - a note about this reaction - - Keyword Args - ------------ - _qm : AbstractQualityModel, optional, keyword-only - the model this variable is being added to, by default None + The preferred way to create a new reaction is to use one of: + + - :meth:`MultispeciesQualityModel.add_pipe_reaction()` + - :meth:`MultispeciesQualityModel.add_tank_reaction()` + - :meth:`MultispeciesQualityModel.add_reaction()` + + .. rubric:: Attributes + .. autosummary:: + ~RateDynamics.species + ~RateDynamics.location + ~RateDynamics.expression + ~RateDynamics.expr_type + ~RateDynamics.note """ def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): + """ + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction dynamics, which should equal to zero + note : str, optional + a note about this reaction + + Other Parameters + ---------------- + _qm : MultispeciesQualityModel + the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_reaction()` API. + """ self.species = species + """Name of the species being described""" self.location = location + """Location this reaction occurs""" self.expression = expression + """The expression""" self.note = note """A note or comment about this species reaction dynamics""" self._variable_registry = _qm + def __eq__(self, other): + return isinstance(other, self.__class__) and self.name == other.name and self.location == other.location and self.expression == other.expression + @property def expr_type(self) -> DynamicsType: return DynamicsType.RATE @@ -557,32 +728,53 @@ class EquilibriumDynamics(ReactionDynamics): 0 = expression - Parameters - ---------- - species : str - the name of the species whose reaction dynamics is being described - location : RxnLocationType or str - the location the reaction occurs (pipes or tanks) - expression : str - the expression for the reaction dynamics, which should equal to zero - note : str, optional - a note about this reaction - - Keyword Args - ------------ - _qm : AbstractQualityModel, optional, keyword-only - the model this variable is being added to, by default None + The preferred way to create a new reaction is to use one of: + + - :meth:`MultispeciesQualityModel.add_pipe_reaction()` + - :meth:`MultispeciesQualityModel.add_tank_reaction()` + - :meth:`MultispeciesQualityModel.add_reaction()` + + .. rubric:: Attributes + .. autosummary:: + ~EquilibriumDynamics.species + ~EquilibriumDynamics.location + ~EquilibriumDynamics.expression + ~EquilibriumDynamics.expr_type + ~EquilibriumDynamics.note """ def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): + """ + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction dynamics, which should equal to zero + note : str, optional + a note about this reaction + + Other Parameters + ---------------- + _qm : MultispeciesQualityModel + the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_reaction()` API. + """ self.species = species + """Name of the species being described""" self.location = location + """Location this reaction occurs""" self.expression = expression + """The expression""" self.note = note """A note or comment about this species reaction dynamics""" self._variable_registry = _qm + def __eq__(self, other): + return isinstance(other, self.__class__) and self.name == other.name and self.location == other.location and self.expression == other.expression + @property def expr_type(self) -> DynamicsType: return DynamicsType.EQUIL @@ -603,7 +795,7 @@ def to_dict(self) -> dict: @dataclass(repr=False) class FormulaDynamics(ReactionDynamics): - """A formula based reaction dynamics. + """A formula-based reaction dynamics expression. Used when the concentration of the named species is a simple function of the remaining species. @@ -611,31 +803,52 @@ class FormulaDynamics(ReactionDynamics): C(species) = expression - Parameters - ---------- - species : str - the name of the species whose reaction dynamics is being described - location : RxnLocationType or str - the location the reaction occurs (pipes or tanks) - expression : str - the expression for the reaction formula, which is used to calculate the concentration of the species - note : str, optional - a note about this reaction - - Keyword Args - ------------ - _qm : RxnModelRegistry, optional - a link to the remainder of the larger model + The preferred way to create a new reaction is to use one of: + + - :meth:`MultispeciesQualityModel.add_pipe_reaction()` + - :meth:`MultispeciesQualityModel.add_tank_reaction()` + - :meth:`MultispeciesQualityModel.add_reaction()` + + .. rubric:: Attributes + .. autosummary:: + ~FormulaDynamics.species + ~FormulaDynamics.location + ~FormulaDynamics.expression + ~FormulaDynamics.expr_type + ~FormulaDynamics.note """ def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): + """ + Parameters + ---------- + species : str + the name of the species whose reaction dynamics is being described + location : RxnLocationType or str + the location the reaction occurs (pipes or tanks) + expression : str + the expression for the reaction formula, which is used to calculate the concentration of the species + note : str, optional + a note about this reaction + + Other Parameters + ---------------- + _qm : MultispeciesQualityModel + the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_reaction()` API. + """ self.species = species + """Name of the species being described""" self.location = location + """Location this reaction occurs""" self.expression = expression + """The expression""" self.note = note """A note or comment about this species reaction dynamics""" self._variable_registry = _qm + def __eq__(self, other): + return isinstance(other, self.__class__) and self.name == other.name and self.location == other.location and self.expression == other.expression + @property def expr_type(self) -> DynamicsType: return DynamicsType.FORMULA @@ -655,14 +868,23 @@ def to_dict(self) -> dict: class MultispeciesQualityModel(AbstractQualityModel): + """A multispecies water quality reactions model, for use with EPANET-MSX. + + .. rubric:: Attributes + .. autosummary:: + ~MultispeciesQualityModel.name + ~MultispeciesQualityModel.title + ~MultispeciesQualityModel.citations + ~MultispeciesQualityModel.options + """ + def __init__(self, msx_file_name=None): - """Water quality reactions model object. + """Create a new multispecies water quality reaction model. Parameters ---------- msx_file_name : str, optional The name of the MSX input file to read - """ self.name: str = None """A one-line title for the model""" @@ -698,9 +920,10 @@ def __init__(self, msx_file_name=None): self._usage: Dict[str, Set[str]] = dict() # FIXME: currently no usage tracking - self._sources: Dict[str, Dict[str, Source]] = dict() - self._inital_quality: Dict[str, Dict[str, Dict[str, float]]] = dict() - self._patterns: Dict[str, Any] = dict() + self._source_dict: Dict[str, Dict[str, Source]] = dict() + self._inital_qual_dict: Dict[str, Dict[str, Dict[str, float]]] = dict() + self._pattern_dict: Dict[str, List[float]] = dict() + self._report = list() for v in HYDRAULIC_VARIABLES: @@ -823,8 +1046,8 @@ def add_variable(self, var_or_type: Union[ReactionVariable, VariableType], name: __variable._variable_registry = self if typ is VariableType.BULK or typ is VariableType.WALL: self._variables.add_item_to_group("species", name, __variable) - self._inital_quality[name] = dict(global_value=None, nodes=dict(), links=dict()) - self._sources[name] = dict() + self._inital_qual_dict[name] = dict(global_value=None, nodes=dict(), links=dict()) + self._source_dict[name] = dict() elif typ is VariableType.CONST or typ is VariableType.PARAM: self._variables.add_item_to_group("coeffs", name, __variable) elif typ is VariableType.TERM: @@ -834,7 +1057,7 @@ def add_variable(self, var_or_type: Union[ReactionVariable, VariableType], name: def add_species( self, - species_type: Union[str, Literal[VariableType.BULK], Literal[VariableType.WALL]], + species_type: Union[str, int, VariableType], name: str, units: str, atol: float = None, @@ -885,8 +1108,8 @@ def add_species( elif species_type is VariableType.WALL: var = WallSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, _qm=self) self._species[name] = var - self._inital_quality[name] = dict([("global", None), ("nodes", dict()), ("links", dict())]) - self._sources[name] = dict() + self._inital_qual_dict[name] = dict([("global", None), ("nodes", dict()), ("links", dict())]) + self._source_dict[name] = dict() return var def add_bulk_species(self, name: str, units: str, atol: float = None, rtol: float = None, note: str = None) -> BulkSpecies: @@ -952,7 +1175,7 @@ def add_wall_species(self, name: str, units: str, atol: float = None, rtol: floa return self.add_species(VariableType.WALL, name, units, atol, rtol, note) def add_coefficient( - self, coeff_type: Union[str, Literal[VariableType.CONST], Literal[VariableType.PARAM]], name: str, global_value: float, note: str = None, units: str = None, **kwargs + self, coeff_type: Union[str, int, VariableType], name: str, global_value: float, note: str = None, units: str = None, **kwargs ) -> Coefficient: """Add a new coefficient to the model. @@ -1102,10 +1325,10 @@ def remove_variable(self, name: str): name : str variable name """ - if name in self._inital_quality.keys(): - self._inital_quality.__delitem__(name) - if name in self._sources.keys(): - self._sources.__delitem__(name) + if name in self._inital_qual_dict.keys(): + self._inital_qual_dict.__delitem__(name) + if name in self._source_dict.keys(): + self._source_dict.__delitem__(name) return self._variables.__delitem__(name) def get_variable(self, name: str) -> ReactionVariable: @@ -1308,12 +1531,17 @@ def get_reaction(self, species, location): ReactionDynamics the requested reaction object """ + if species is None: + raise TypeError('species must be a string or Species') + if location is None: + raise TypeError('location must be a string, int, or LocationType') species = str(species) location = LocationType.get(location) + loc = location.name.lower() if location == LocationType.PIPE: - return self._pipe_dynamics.get(species, None) + return self._pipe_dynamics.get(species+'.'+loc) elif location == LocationType.TANK: - return self._tank_dynamics.get(species, None) + return self._tank_dynamics.get(species+'.'+loc) def init_printing(self, *args, **kwargs): """Call sympy.init_printing""" @@ -1345,9 +1573,6 @@ def options(self, value): def link_water_network_model(self, wn: WaterNetworkModel): self._wn = wn - def add_pattern(self, name, pat): - self._patterns[name] = pat - def to_dict(self) -> dict: """Convert this water quality model to a dictionary""" wntr.quality.io.to_dict() diff --git a/wntr/quality/options.py b/wntr/quality/options.py index 00656d325..d17f49846 100644 --- a/wntr/quality/options.py +++ b/wntr/quality/options.py @@ -78,36 +78,29 @@ class MultispeciesOptions(_OptionsBase): ---------- timestep : int >= 1 Water quality timestep (seconds), by default 60 (one minute). - area_units : str, optional The units of area to use in surface concentration forms, by default ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. - rate_units : str, optional The time units to use in all rate reactions, by default ``MIN``. Valid values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. - solver : str, optional The solver to use, by default ``RK5``. Options are ``RK5`` (5th order Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or ``EUL`` (Euler method). - coupling : str, optional Use coupling method for solution, by default ``NONE``. Valid options are ``FULL`` or ``NONE``. - atol : float, optional Absolute concentration tolerance, by default 0.01 (regardless of species concentration units). - rtol : float, optional Relative concentration tolerance, by default 0.001 (±0.1%). - compiler : str, optional Whether to use a compiler, by default ``NONE``. Valid options are ``VC``, ``GC``, or ``NONE`` - segments : int, optional Maximum number of segments per pipe (MSX 2.0 or newer only), by default 5000. - peclet : int, optional Peclet threshold for applying dispersion (MSX 2.0 or newer only), by default 1000. - - report : ReportOptions - Contains options for how for format and save report + + Other Parameters + ---------------- + report : ReportOptions or dict + Options on how to report out results. """ @@ -123,30 +116,31 @@ def __init__( compiler: str = "NONE", segments: int = 5000, peclet: int = 1000, - global_initial_quality: Dict[str, float] = None, + # global_initial_quality: Dict[str, float] = None, report: ReportOptions = None, ): - self.timestep = timestep + self.timestep: int = timestep """The timestep, in seconds, by default 360""" - self.area_units = area_units + self.area_units: str = area_units """The units used to express pipe wall surface area where, by default FT2. Valid values are FT2, M2, and CM2.""" - self.rate_units = rate_units + self.rate_units: str = rate_units """The units in which all reaction rate terms are expressed, by default HR. Valid values are HR, MIN, SEC, and DAY.""" - self.solver = solver + self.solver: str = solver """The solver to use, by default EUL. Valid values are EUL, RK5, and ROS2.""" - self.coupling = coupling + self.coupling: str = coupling """Whether coupling should occur during solving, by default NONE. Valid values are NONE and FULL.""" - self.rtol = rtol + self.rtol: float = rtol """The relative tolerance used during solvers ROS2 and RK5, by default 0.001 for all species. Can be overridden on a per-species basis.""" - self.atol = atol + self.atol: float = atol """The absolute tolerance used by the solvers, by default 0.01 for all species regardless of concentration units. Can be overridden on a per-species basis.""" - self.compiler = compiler + self.compiler: str = compiler """A compier to use if the equations should be compiled by EPANET-MSX, by default NONE. Valid options are VC, GC and NONE.""" - self.segments = segments + self.segments: int = segments """The number of segments per-pipe to use, by default 5000.""" - self.peclet = peclet + self.peclet: int = peclet """The threshold for applying dispersion, by default 1000.""" - self.report = ReportOptions.factory(report) + self.report: ReportOptions = ReportOptions.factory(report) + """The reporting output options.""" def __setattr__(self, name, value): if name == "report": diff --git a/wntr/tests/networks_for_testing/msx_example.inp b/wntr/tests/networks_for_testing/msx_example.inp new file mode 100644 index 000000000..0887e00db --- /dev/null +++ b/wntr/tests/networks_for_testing/msx_example.inp @@ -0,0 +1,36 @@ +[TITLE] +EPANET-MSX Example Network + +[JUNCTIONS] +;ID Elev Demand Pattern + A 0 4.1 + B 0 3.4 + C 0 5.5 + D 0 2.3 + +[RESERVOIRS] +;ID Head Pattern + Source 100 + +[PIPES] +;ID Node1 Node2 Length Diameter Roughness + 1 Source A 1000 200 100 + 2 A B 800 150 100 + 3 A C 1200 200 100 + 4 B C 1000 150 100 + 5 C D 2000 150 100 + +[TIMES] + Duration 48 + Hydraulic Timestep 1:00 + Quality Timestep 0:05 + Report Timestep 2 + Report Start 0 + Statistic NONE + +[OPTIONS] + Units CMH + Headloss H-W + Quality NONE + +[END] diff --git a/wntr/tests/networks_for_testing/msx_example.msx b/wntr/tests/networks_for_testing/msx_example.msx new file mode 100644 index 000000000..b20e0854b --- /dev/null +++ b/wntr/tests/networks_for_testing/msx_example.msx @@ -0,0 +1,58 @@ +[TITLE] +Arsenic Oxidation/Adsorption Example + +[OPTIONS] + AREA_UNITS M2 ;Surface concentration is mass/m2 + RATE_UNITS HR ;Reaction rates are concentration/hour + SOLVER RK5 ;5-th order Runge-Kutta integrator + TIMESTEP 360 ;360 sec (5 min) solution time step + RTOL 0.001 ;Relative concentration tolerance + ATOL 0.0001 ;Absolute concentration tolerance + +[SPECIES] + BULK AS3 UG ;Dissolved arsenite + BULK AS5 UG ;Dissolved arsenate + BULK AStot UG ;Total dissolved arsenic + WALL AS5s UG ;Adsorbed arsenate + BULK NH2CL MG ;Monochloramine + +[COEFFICIENTS] + CONSTANT Ka 10.0 ;Arsenite oxidation rate coefficient + CONSTANT Kb 0.1 ;Monochloramine decay rate coefficient + CONSTANT K1 5.0 ;Arsenate adsorption coefficient + CONSTANT K2 1.0 ;Arsenate desorption coefficient + CONSTANT Smax 50 ;Arsenate adsorption saturation limit + +[TERMS] + Ks K1/K2 ;Equil. adsorption coeff. + +[PIPES] + ;Arsenite oxidation + RATE AS3 -Ka*AS3*NH2CL + ;Arsenate production + RATE AS5 Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s) + ;Monochloramine decay + RATE NH2CL -Kb*NH2CL + ;Arsenate adsorption + EQUIL AS5s Ks*Smax*AS5/(1+Ks*AS5) - AS5s + ;Total bulk arsenic + FORMULA AStot AS3 + AS5 + +[TANKS] + RATE AS3 -Ka*AS3*NH2CL + RATE AS5 Ka*AS3*NH2CL + RATE NH2CL -Kb*NH2CL + FORMULA AStot AS3 + AS5 + +[QUALITY] + ;Initial conditions (= 0 if not specified here) + NODE Source AS3 10.0 + NODE Source NH2CL 2.5 + +[REPORT] + NODES C D ;Report results for nodes C and D + LINKS 5 ;Report results for pipe 5 + SPECIES AStot YES ;Report results for each specie + SPECIES AS5 YES + SPECIES AS5s YES + SPECIES NH2CL YES diff --git a/wntr/tests/test_epanet_msx_io.py b/wntr/tests/test_epanet_msx_io.py new file mode 100644 index 000000000..0bcf73a2e --- /dev/null +++ b/wntr/tests/test_epanet_msx_io.py @@ -0,0 +1,42 @@ +import unittest +import warnings +from os.path import abspath, dirname, join + +import numpy as np +import pandas as pd +import wntr +import wntr.quality +import wntr.epanet.msx +import sympy + +testdir = dirname(abspath(str(__file__))) +test_network_dir = join(testdir, "networks_for_testing") +inp_filename = join(test_network_dir, "msx_example.inp") +msx_filename = join(test_network_dir, "msx_example.msx") + + +class Test(unittest.TestCase): + @classmethod + def setUpClass(self): + pass + + @classmethod + def tearDownClass(self): + pass + + def test_msx_io(self): + wn_model = wntr.network.WaterNetworkModel(inp_file_name=inp_filename) + msx_model = wntr.quality.MultispeciesQualityModel(msx_file_name=msx_filename) + wntr.epanet.InpFile().write("test.inp", wn_model) + wntr.epanet.msx.MsxFile().write("test.msx", msx_model) + msx_model2 = wntr.quality.MultispeciesQualityModel(msx_file_name="test.msx") + true_vars = ["AS3", "AS5", "AS5s", "AStot", "Av", "D", "Ff", "K1", "K2", "Ka", "Kb", "Kc", "Ks", "Len", "NH2CL", "Q", "Re", "Smax", "U", "Us"] + in_vars = msx_model.variable_name_list + in_vars.sort() + io_vars = msx_model2.variable_name_list + io_vars.sort() + self.assertListEqual(true_vars, in_vars) + self.assertListEqual(true_vars, io_vars) + +if __name__ == "__main__": + unittest.main(verbosity=2) diff --git a/wntr/tests/test_epanet_msx_tooklit.py b/wntr/tests/test_epanet_msx_tooklit.py new file mode 100644 index 000000000..3191d3f0e --- /dev/null +++ b/wntr/tests/test_epanet_msx_tooklit.py @@ -0,0 +1,35 @@ +import unittest +import warnings +from os.path import abspath, dirname, join + +import numpy as np +import pandas as pd +import wntr +import wntr.quality +import wntr.epanet.msx +import wntr.epanet.msx.toolkit +import sympy + +testdir = dirname(abspath(str(__file__))) +test_network_dir = join(testdir, "networks_for_testing") +inp_filename = join(test_network_dir, 'msx_example.inp') +msx_filename = join(test_network_dir, 'msx_example.msx') + +class Test(unittest.TestCase): + @classmethod + def setUpClass(self): + pass + + @classmethod + def tearDownClass(self): + pass + + def test_msx_io(self): + wn_model = wntr.network.WaterNetworkModel(inp_file_name=inp_filename) + msx_model = wntr.quality.MultispeciesQualityModel(msx_file_name=msx_filename) + wntr.epanet.msx.toolkit.MSXepanet(inp_filename, msxfile=msx_filename) + + + +if __name__ == "__main__": + unittest.main(verbosity=2) diff --git a/wntr/utils/enumtools.py b/wntr/utils/enumtools.py index e44235c33..f853551a7 100644 --- a/wntr/utils/enumtools.py +++ b/wntr/utils/enumtools.py @@ -78,6 +78,8 @@ def get(cls, value: Union[str, int, Enum], prefix='', abbrev=False): ValueError if ``value`` is invalid """ + if value is None: + return None name = str(value) if isinstance(value, cls): return value From 8862e25fc248ba42a43c47274ed5224e3ec11fe8 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 6 Oct 2023 13:07:48 -0600 Subject: [PATCH 029/118] Update to documentation and library functionality --- documentation/conf.py | 1 + wntr/epanet/msx/io.py | 206 +++++++++++---------- wntr/quality/base.py | 196 +++++++++++++++++--- wntr/quality/library.py | 265 ++++++++++++++++++++++----- wntr/quality/multispecies.py | 316 +++++++++++++-------------------- wntr/utils/disjoint_mapping.py | 14 +- wntr/utils/enumtools.py | 44 ++--- 7 files changed, 664 insertions(+), 378 deletions(-) diff --git a/documentation/conf.py b/documentation/conf.py index 6c36a33df..ae2d52802 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -104,6 +104,7 @@ # The reST default role (used for this markup: `text`) to use for all # documents. #default_role = None +napoleon_custom_sections = ['Read-only Simulation Attributes', 'Class Methods', 'Enum Members', 'Model Description'] # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index 2d3329aec..0f25ab925 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -6,6 +6,10 @@ import sys from io import FileIO, TextIOWrapper +import numpy as np +import pandas as pd + +import wntr.network from wntr.epanet.msx.exceptions import EpanetMsxException from wntr.epanet.util import ENcomment from wntr.network.elements import Source @@ -33,6 +37,7 @@ "[DIFFUSIVITY]", "[PATTERNS]", "[REPORT]", + "[END]", ] @@ -61,7 +66,7 @@ class MsxFile(object): read write - + """ def __init__(self): @@ -134,21 +139,22 @@ def _read(): section = sec # logger.info('%(fname)s:%(lnum)-6d %(sec)13s section found' % edata) continue - elif sec == "[END]": - # logger.info('%(fname)s:%(lnum)-6d %(sec)13s end of file found' % edata) - section = None - break + # elif sec == "[END]": + # # logger.info('%(fname)s:%(lnum)-6d %(sec)13s end of file found' % edata) + # section = None + # break else: logger.warning('%(fname)s:%(lnum)d: Invalid section "%(sec)s"' % edata) - raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) + raise EpanetMsxException(201, note="at line {}:\n{}".format(lnum, line)) elif section is None and line.startswith(";"): obj.top_comments.append(line[1:]) continue elif section is None: logger.debug("Found confusing line: %s", repr(line)) - raise EpanetMsxException(201, note='at line {}:\n{}'.format(lnum, line)) + raise EpanetMsxException(201, note="at line {}:\n{}".format(lnum, line)) # We have text, and we are in a section obj.sections[section].append((lnum, line)) + try: _read() obj._read_title() @@ -164,6 +170,7 @@ def _read(): obj._read_diffusivity() obj._read_patterns() obj._read_report() + obj._read_end() return obj.rxn except Exception as e: raise EpanetMsxException(200) from e @@ -198,8 +205,17 @@ def write(cls, filename: str, msx: MultispeciesQualityModel): obj._write_parameters(fout) obj._write_patterns(fout) obj._write_report(fout) + obj._write_end(fout) fout.write("; END of MSX file generated by WNTR\n") + def _read_end(self): + pass + + def _write_end(self, fout): + fout.write("[END]\n") + pass + + def _read_title(self): lines = [] title = None @@ -247,13 +263,13 @@ def _read_options(self): elif name == "PECLET": self.rxn._options.peclet = int(val) else: - raise EpanetMsxException(403, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) + raise EpanetMsxException(403, note="at line {} of [OPTIONS] section:\n{}".format(lnum, line)) except ValueError: - raise EpanetMsxException(404, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) + raise EpanetMsxException(404, note="at line {} of [OPTIONS] section:\n{}".format(lnum, line)) except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [OPTIONS] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [OPTIONS] section:\n{}".format(lnum, line)) from e def _read_species(self): lines = [] @@ -268,17 +284,17 @@ def _read_species(self): if comment is not None: note.post = comment if len(vals) < 3: - raise EpanetMsxException(402, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) + raise EpanetMsxException(402, note="at line {} of [SPECIES] section:\n{}".format(lnum, line)) if len(vals) == 3: species = self.rxn.add_species(vals[0], vals[1], vals[2], note=note) elif len(vals) == 5: species = self.rxn.add_species(vals[0], vals[1], vals[2], float(vals[3]), float(vals[4]), note=note) else: - raise EpanetMsxException(201, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) + raise EpanetMsxException(201, note="at line {} of [SPECIES] section:\n{}".format(lnum, line)) except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [SPECIES] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [SPECIES] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -295,12 +311,12 @@ def _read_coefficients(self): if comment is not None: note.post = comment if len(vals) < 3: - raise EpanetMsxException(402, note='at line {} of [COEFFICIENTS] section:\n{}'.format(lnum, line)) + raise EpanetMsxException(402, note="at line {} of [COEFFICIENTS] section:\n{}".format(lnum, line)) coeff = self.rxn.add_coefficient(vals[0], vals[1], float(vals[2]), note=note) except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [COEFFICIENTS] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [COEFFICIENTS] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -322,7 +338,7 @@ def _read_terms(self): except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [TERMS] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [TERMS] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -344,7 +360,7 @@ def _read_pipes(self): except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [PIPES] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [PIPES] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -366,7 +382,7 @@ def _read_tanks(self): except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [TANKS] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [TANKS] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -396,7 +412,7 @@ def _read_source_dict(self): except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [SOURCES] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [SOURCES] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -431,7 +447,7 @@ def _read_quality(self): except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [QUALITY] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [QUALITY] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -461,7 +477,7 @@ def _read_parameters(self): except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [PARAMETERS] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [PARAMETERS] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -486,7 +502,7 @@ def _read_diffusivity(self): except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [DIFFUSIVITIES] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [DIFFUSIVITIES] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -566,7 +582,7 @@ def _read_report(self): except EpanetMsxException: raise except Exception as e: - raise EpanetMsxException(201, note='at line {} of [REPORT] section:\n{}'.format(lnum, line)) from e + raise EpanetMsxException(201, note="at line {} of [REPORT] section:\n{}".format(lnum, line)) from e else: note = ENcomment() @@ -592,6 +608,7 @@ def _write_options(self, fout): def _write_species(self, fout): fout.write("[SPECIES]\n") + def to_msx_string(self) -> str: tols = self.get_tolerances() if tols is None: @@ -604,6 +621,7 @@ def to_msx_string(self) -> str: self.units, tolstr, ) + for var in self.rxn.variables(var_type=VariableType.BULK): if isinstance(var.note, ENcomment): fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) @@ -622,17 +640,14 @@ def to_msx_string(self) -> str: def _write_coefficients(self, fout): fout.write("[COEFFICIENTS]\n") + def to_msx_string(self) -> str: # if self.units is not None: # post = r' ; {"units"="' + str(self.units) + r'"}' # else: - post = '' - return "{:<12s} {:<8s} {:<16s}{}".format( - self.var_type.name.upper(), - self.name, - str(self.global_value), - post - ) + post = "" + return "{:<12s} {:<8s} {:<16s}{}".format(self.var_type.name.upper(), self.name, str(self.global_value), post) + for var in self.rxn.variables(var_type=VariableType.CONST): if isinstance(var.note, ENcomment): fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) @@ -651,8 +666,10 @@ def to_msx_string(self) -> str: def _write_terms(self, fout): fout.write("[TERMS]\n") + def to_msx_string(self) -> str: return "{:<8s} {:<64s}".format(self.name, self.expression) + for var in self.rxn.variables(var_type=VariableType.TERM): if isinstance(var.note, ENcomment): fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) @@ -785,76 +802,69 @@ def _write_report(self, fout): fout.write(" PAGESIZE {}\n".format(self.rxn._options.report.pagesize)) fout.write("\n") -import numpy as np -import pandas as pd - -import wntr.network - def MsxBinFile(filename, wn: wntr.network.WaterNetworkModel): duration = int(wn.options.time.duration) - - with open(filename, 'rb') as fin: - ftype = '=f4' - idlen = 32 - prolog = np.fromfile(fin, dtype = np.int32, count=6) - magic1 = prolog[0] - version = prolog[1] - nnodes = prolog[2] - nlinks = prolog[3] - nspecies = prolog[4] - reportstep = prolog[5] - species_list = [] - node_list = wn.node_name_list - link_list = wn.link_name_list - - for i in range(nspecies): - species_len = int(np.fromfile(fin, dtype = np.int32, count=1)) - species_name = ''.join(chr(f) for f in np.fromfile(fin, dtype = np.uint8, count=species_len) if f!=0) - species_list.append(species_name) - species_mass = [] - for i in range(nspecies): - species_mass.append(''.join(chr(f) for f in np.fromfile(fin, dtype = np.uint8, count=16) if f != 0)) - timerange = range(0, duration+1, reportstep) - - tr = len(timerange) - - row1 = ['node']*nnodes*len(species_list)+['link']*nlinks*len(species_list) - row2 = [] - for i in [nnodes,nlinks]: - for j in species_list: - row2.append([j]*i) - row2 = [y for x in row2 for y in x] - row3 = [node_list for i in species_list] + [link_list for i in species_list] - row3 = [y for x in row3 for y in x] - - tuples = list(zip(row1, row2, row3)) - index = pd.MultiIndex.from_tuples(tuples, names = ['type','species','name']) - - try: - data = np.fromfile(fin, dtype = np.dtype(ftype), count = tr*(len(species_list*(nnodes + nlinks)))) - data = np.reshape(data, (tr, len(species_list*(nnodes + nlinks)))) - except Exception as e: - print(e) - print ("oops") - - postlog = np.fromfile(fin, dtype = np.int32, count=4) - offset = postlog[0] - numreport = postlog[1] - errorcode = postlog[2] - magicnew = postlog[3] - if errorcode !=0: - print(f'ERROR CODE: {errorcode}') - print(offset, numreport) - - df_fin = pd.DataFrame(index=index, columns=timerange).transpose() - if magic1 == magicnew: - # print("Magic# Match") - df_fin = pd.DataFrame(data.transpose(), index=index, columns=timerange) - df_fin = df_fin.transpose() - - else: - print("Magic#s do not match!") - return df_fin + with open(filename, "rb") as fin: + ftype = "=f4" + idlen = 32 + prolog = np.fromfile(fin, dtype=np.int32, count=6) + magic1 = prolog[0] + version = prolog[1] + nnodes = prolog[2] + nlinks = prolog[3] + nspecies = prolog[4] + reportstep = prolog[5] + species_list = [] + node_list = wn.node_name_list + link_list = wn.link_name_list + + for i in range(nspecies): + species_len = int(np.fromfile(fin, dtype=np.int32, count=1)) + species_name = "".join(chr(f) for f in np.fromfile(fin, dtype=np.uint8, count=species_len) if f != 0) + species_list.append(species_name) + species_mass = [] + for i in range(nspecies): + species_mass.append("".join(chr(f) for f in np.fromfile(fin, dtype=np.uint8, count=16) if f != 0)) + timerange = range(0, duration + 1, reportstep) + + tr = len(timerange) + + row1 = ["node"] * nnodes * len(species_list) + ["link"] * nlinks * len(species_list) + row2 = [] + for i in [nnodes, nlinks]: + for j in species_list: + row2.append([j] * i) + row2 = [y for x in row2 for y in x] + row3 = [node_list for i in species_list] + [link_list for i in species_list] + row3 = [y for x in row3 for y in x] + + tuples = list(zip(row1, row2, row3)) + index = pd.MultiIndex.from_tuples(tuples, names=["type", "species", "name"]) + try: + data = np.fromfile(fin, dtype=np.dtype(ftype), count=tr * (len(species_list * (nnodes + nlinks)))) + data = np.reshape(data, (tr, len(species_list * (nnodes + nlinks)))) + except Exception as e: + print(e) + print("oops") + + postlog = np.fromfile(fin, dtype=np.int32, count=4) + offset = postlog[0] + numreport = postlog[1] + errorcode = postlog[2] + magicnew = postlog[3] + if errorcode != 0: + print(f"ERROR CODE: {errorcode}") + print(offset, numreport) + + df_fin = pd.DataFrame(index=index, columns=timerange).transpose() + if magic1 == magicnew: + # print("Magic# Match") + df_fin = pd.DataFrame(data.transpose(), index=index, columns=timerange) + df_fin = df_fin.transpose() + + else: + print("Magic#s do not match!") + return df_fin diff --git a/wntr/quality/base.py b/wntr/quality/base.py index b217dd91d..45b758511 100644 --- a/wntr/quality/base.py +++ b/wntr/quality/base.py @@ -1,7 +1,6 @@ # -*- coding: utf-8 -*- -""" -The base classes for the the wntr.reaction module. +"""The base classes for the the WNTR quality extensions module. Other than the enum classes, the classes in this module are all abstract and/or mixin classes, and should not be instantiated directly. """ @@ -13,7 +12,7 @@ from collections.abc import MutableMapping from dataclasses import InitVar, dataclass from enum import Enum, IntFlag -from typing import ClassVar, Generator, List, Union +from typing import Any, ClassVar, Dict, Generator, List, Union import numpy as np @@ -26,17 +25,32 @@ has_sympy = False try: - from sympy import Float, Symbol, init_printing, symbols + from sympy import Float, Symbol, init_printing, symbols, Function, Mul, Add, Pow, Integer + from sympy.functions import cos, sin, tan, cot, Abs, sign, sqrt, log, exp, asin, acos, atan, acot, sinh, cosh, tanh, coth, Heaviside from sympy.parsing import parse_expr - from sympy.parsing.sympy_parser import convert_xor, standard_transformations - + from sympy.parsing.sympy_parser import convert_xor, standard_transformations, auto_number, auto_symbol + class _log10(Function): + @classmethod + def eval(cls, x): + return log(x, 10) has_sympy = True except ImportError: sympy = None + has_sympy = False logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") standard_transformations = (None,) convert_xor = None - has_sympy = False + if not has_sympy: + from numpy import cos, sin, tan, abs, sign, sqrt, log, exp, arcsin, arccos, arctan, sinh, cosh, tanh, heaviside, log10 + cot = lambda x : 1 / tan(x) + Abs = abs + asin = arcsin + acos = arccos + atan = arctan + acot = lambda x : 1 / arctan(1 / x) + coth = lambda x : 1 / tanh(x) + Heaviside = heaviside + _log10 = log10 logger = logging.getLogger(__name__) @@ -44,7 +58,7 @@ {"name": "D", "note": "pipe diameter (feet or meters) "}, { "name": "Kc", - "note": "pipe roughness coefcient (unitless for Hazen-Williams or Chezy-Manning head loss formulas, millifeet or millimeters for Darcy-Weisbach head loss formula)", + "note": "pipe roughness coefficient (unitless for Hazen-Williams or Chezy-Manning head loss formulas, millifeet or millimeters for Darcy-Weisbach head loss formula)", }, {"name": "Q", "note": "pipe flow rate (flow units) "}, {"name": "U", "note": "pipe flow velocity (ft/sec or m/sec) "}, @@ -55,18 +69,150 @@ {"name": "Len", "note": "Pipe length (feet or meters)"}, ] """The hydraulic variables defined in EPANET-MSX. +For reference, the valid values are provided in :numref:`table-msx-hyd-vars`. + +.. _table-msx-hyd-vars: +.. table:: Valid hydraulic variables in multispecies quality model expressions. + + ============== ================================================ + **Name** **Description** + -------------- ------------------------------------------------ + ``D`` pipe diameter + ``Kc`` pipe roughness coefficient + ``Q`` pipe flow rate + ``Re`` flow Reynolds number + ``Us`` pipe shear velocity + ``Ff`` Darcy-Weisbach friction factor + ``Av`` pipe surface area per unit volume + ``Len`` pipe length + ============== ================================================ + +:meta hide-value: +""" + +EXPR_FUNCTIONS = dict( + abs=abs, + sgn=sign, + sqrt=sqrt, + step=Heaviside, + log=log, + exp=exp, + sin=sin, + cos=cos, + tan=tan, + cot=cot, + asin=asin, + acos=acos, + atan=atan, + acot=acot, + sinh=sinh, + cosh=cosh, + tanh=tanh, + coth=coth, + log10=_log10, +) +"""Mathematical functions available for use in expressions. See +:numref:`table-msx-funcs` for a list and description of the +different functions recognized. These names, case insensitive, are +considered invalid when naming variables. + +Additionally, the following SymPy names - ``Mul``, ``Add``, ``Pow``, +``Integer``, ``Float`` - are used to convert numbers and symbolic +functions; therefore, these five words, case sensitive, are also invalid +for use as variable names. + +.. _table-msx-funcs: +.. table:: Functions defined for use in EPANET-MSX expressions. + + ============== ================================================================ + **Name** **Description** + -------------- ---------------------------------------------------------------- + ``abs`` absolute value (:func:`~sympy.functions.Abs`) + ``sgn`` sign (:func:`~sympy.functions.sign`) + ``sqrt`` square-root + ``step`` step function (:func:`~sympy.functions.Heaviside`) + ``exp`` natural number, `e`, raised to a power + ``log`` natural logarithm + ``log10`` base-10 logarithm (defined as internal function) + ``sin`` sine + ``cos`` cosine + ``tan`` tangent + ``cot`` cotangent + ``asin`` arcsine + ``acos`` arccosine + ``atan`` arctangent + ``acot`` arccotangent + ``sinh`` hyperbolic sine + ``cosh`` hyperbolic cosine + ``tanh`` hyperbolic tangent + ``coth`` hyperbolic cotangent + ``*`` multiplication (:func:`~sympy.Mul`) + ``/`` division (:func:`~sympy.Mul`) + ``+`` addition (:func:`~sympy.Add`) + ``-`` negation and subtraction (:func:`~sympy.Add`) + ``^`` power/exponents (:func:`~sympy.Pow`) + ``(``, ``)`` groupings and function parameters + `numbers` literal values (:func:`~sympy.Float` and :func:`~sympy.Integer`) + ============== ================================================================ :meta hide-value: """ -RESERVED_NAMES = tuple([v["name"] for v in HYDRAULIC_VARIABLES]) -"""The MSX reserved names.""" +RESERVED_NAMES = ( + tuple([v["name"] for v in HYDRAULIC_VARIABLES]) + + tuple([k for k, v in EXPR_FUNCTIONS.items()]) + + tuple([k.upper() for k, v in EXPR_FUNCTIONS.items()]) + + tuple([k.capitalize() for k, v in EXPR_FUNCTIONS.items()]) + + ('Mul', 'Add', 'Pow', 'Integer', 'Float') +) +"""The WNTR reserved names. This includes the MSX hydraulic variables +(see :numref:`table-msx-hyd-vars`) and the MSX defined functions +(see :numref:`table-msx-funcs`). -SYMPY_RESERVED = ("E", "I", "pi") -"""Some extra names reserved by sympy""" +:meta hide-value: +""" -EXPR_TRANSFORMS = standard_transformations + (convert_xor,) -"""The sympy transforms to use in expression parsing. +_global_dict = dict() +for k, v in EXPR_FUNCTIONS.items(): + _global_dict[k] = v + _global_dict[k.lower()] = v + _global_dict[k.capitalize()] = v + _global_dict[k.upper()] = v +for v in HYDRAULIC_VARIABLES: + _global_dict[v["name"]] = symbols(v["name"]) +_global_dict['Mul'] = Mul +_global_dict['Add'] = Add +_global_dict['Pow'] = Pow +_global_dict['Integer'] = Integer +_global_dict['Float'] = Float + +EXPR_TRANSFORMS = ( + auto_symbol, + auto_number, + convert_xor, +) +"""The sympy transforms to use in expression parsing. See +:numref:`table-sympy-transformations` for the list of transformations. + +.. _table-sympy-transformations: +.. table:: Transformations used by WNTR when parsing expressions using SymPy. + + ========================================== ================== + **Transformation** **Is used?** + ------------------------------------------ ------------------ + ``lambda_notation`` No + ``auto_symbol`` Yes + ``repeated_decimals`` No + ``auto_number`` Yes + ``factorial_notation`` No + ``implicit_multiplication_application`` No + ``convert_xor`` Yes + ``implicit_application`` No + ``implicit_multiplication`` No + ``convert_equals_signs`` No + ``function_exponentiation`` No + ``rationalize`` No + ========================================== ================== :meta hide-value: """ @@ -118,7 +264,7 @@ class VariableType(Enum): CONST = CONSTANT PARAM = PARAMETER - + @add_get(abbrev=True) class LocationType(Enum): @@ -135,7 +281,7 @@ class LocationType(Enum): .. rubric:: Class Methods .. autosummary:: :nosignatures: - + get """ @@ -157,6 +303,7 @@ class DynamicsType(Enum): .. rubric:: Enum Members .. autosummary:: + EQUIL RATE FORMULA @@ -164,7 +311,7 @@ class DynamicsType(Enum): .. rubric:: Class Methods .. autosummary:: :nosignatures: - + get """ @@ -346,20 +493,22 @@ def to_key(cls, species, location): return str(species) + "." + location.name.lower() @abstractmethod - def to_symbolic(self, transformations=EXPR_TRANSFORMS): + def to_symbolic(self, transformations: tuple = EXPR_TRANSFORMS): """Convert to a symbolic expression. Parameters ---------- transformations : tuple of sympy transformations - transformations to apply to the expression, by default EXPR_TRANSFORMS + transformations to apply to the expression, by default :data:`EXPR_TRANSFORMS` Returns ------- - sympy.Expr + sympy.Expr or sympy.Symbol the expression parsed by sympy """ - return parse_expr(self.expression, transformations=transformations) + if not has_sympy: + return self.expression + return parse_expr(self.expression, local_dict=self._variable_registry.variable_dict() if self._variable_registry is not None else None, transformations=transformations, global_dict=_global_dict, evaluate=False) class AbstractQualityModel(ABC): @@ -370,6 +519,11 @@ def variables(self, var_type=None): """Generator over all defined variables, optionally limited by variable type""" raise NotImplementedError + @abstractmethod + def variable_dict(self) -> Dict[str, Any]: + """Create a dictionary of variable names and their sympy represenations""" + raise NotImplementedError + @abstractmethod def add_variable(self, __variable: ReactionVariable): """Add a variable *object* to the model""" diff --git a/wntr/quality/library.py b/wntr/quality/library.py index a233f5fae..df8bae011 100644 --- a/wntr/quality/library.py +++ b/wntr/quality/library.py @@ -2,85 +2,216 @@ # @Contributors: # Jonathan Burkhardt, U.S. Environmental Protection Agency, Office of Research and Development -""" -A library of common reactions. -Values in libarary are for test purposes ONLY. These highlight the reaction form/relationship -but not necessarily the specific system kinetics. Citations are provided where appropriate for -sources of values or models. In most cases updates will be necessary to use for different -models - that is, sources, pipes, nodes are for a given network, and must be updated for different -models. +r"""A library of common multispecies reactions. + +Values in libarary are currently for test purposes only. These highlight the +reaction form/relationships but do not provide the specific system kinetics. +In all cases, updates will be necessary to use a specific model with a specific +network; that is, sources, pipes, nodes are for a given network, and must be +updated for different water network models. Citations are provided for the +reaction values and models. + +Notes +----- +.. important:: + + The docstrings you will write will likely use mathematics, as with the + models already provided. You will need to make them "raw" strings - e.g., + ``r'''docstring'''``. This is because most LaTeX commands will use ``\`` + characters in the commands, which can mess up documentation unless the docstrings + are specified as raw, not interpreted, text. +.. important:: + + Make sure to provide all appropriate citations to the model in your creation + function. """ + import logging from wntr.utils.citations import Citation from wntr.quality.multispecies import MultispeciesQualityModel +from wntr.network.model import WaterNetworkModel logger = logging.getLogger(__name__) + +########################################## +## +## IMPORTANT NOTE FOR CONTRIBUTORS +## +## The docstrings you write will likely use mathematics, as with the models already provided. +## you will need to make them "raw" strings -- i.e., r"""adocstring""" +## This is because most latex/mathjax formats use \ characters, which mess up docscrape +## unless you mark the string as raw, not interpreted, text. +## + +# FIXME: Need to actually do the checks and adding to the wn + + # ===================== Nicotine-chlorine model # -def nicotine() -> MultispeciesQualityModel: - """A nicotine-chlorine reaction model. - +def nicotine(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: + r"""Create a new nicotine-chlorine reaction model, and optionally attach it to a water network model. + + Parameters + ---------- + wn : WaterNetworkModel, optional + the water network to use to hold the new or updated reaction model, by default None + Returns ------- MultispeciesQualityModel - a new model for a nicotine-chlorine reaction + the new or updated reaction/quality model + + Model Description + ----------------- + This model defines a simple nicotine-chlorine reaction. The model only defines bulk species + and does not specify any tank reactions. There is no reactive intermediate species in this + implementation, see :func:`nicotine_ri` for a model with a reactive intermediary. + + Bulk species + .. math:: + + Nx &:= \mathrm{mg}_\mathrm{(Nic)}~\text{[nicotine]} \\ + HOCL &:= \mathrm{mg}_\mathrm{(Cl)}~\text{[chlorine]} + + Coefficients + .. math:: + + k_d &= 2.33 \times 10^{-3}~\mathrm{min}^{-1} \\ + K_1 &= 5.92 \times 10^{-2}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Nic)}}^{-1} \\ + K_2 &= 1.83 \times 10^{-1}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Cl)}}^{-1} + + Other terms + .. math:: + + RxCl &= k_d \cdot HOCL + K_1 \cdot Nx \cdot HOCL \\ + RxN &= K_2 \cdot Nx \cdot HOCL + + Pipe reactions + .. math:: + + \frac{d}{dt}Nx &= -RxN \\ + \frac{d}{dt}HOCL &= -RxCl + + The tank reactions are not explicitly defined in this model. + + + Notes + ----- + If a water network is provided that does not have an ``msx`` attribute, then a new model will be + created and added to the network. The new model will also be returned as an object. + + If a water network is provided that already has an ``msx`` attribute, then this function will: + first check to see if there are variables that are in conflict with the existing reaction + model. If there are conflicts, an exception will be raised. The :attr:`~MultispeciesOptions.area_units` + and :attr:`~MultispeciesOptions.rate_units` will also be checked for conflicts, and an exception raised + if they differ from the already-existing units. + If there are no conflicts, then the variables and reactions for this model will be added to the + existing model. If there are conflicts, then the user must resolve them and try again. """ msx = MultispeciesQualityModel() msx.name = "nicotine" msx.title = ("Nicotine - Chlorine reaction",) - msx.options.area_units = "M2" - msx.options.rate_units = "MIN" + msx.options.area_units = "m2" + msx.options.rate_units = "min" msx.options.timestep = 1 - msx.add_bulk_species("Nx", units="MG", note="Nicotine") - msx.add_bulk_species("HOCL", units="MG", note="Free chlorine") + msx.add_bulk_species("Nx", units="mg", note="Nicotine") + msx.add_bulk_species("HOCL", units="mg", note="Free chlorine") msx.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") msx.add_constant_coeff("K1", global_value=5.92e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") msx.add_constant_coeff("K2", global_value=1.84e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") - msx.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL") - msx.add_other_term("RXN", expression="K2 * Nx * HOCL") - msx.add_pipe_reaction("Nx", "rate", expression="-RXN") - msx.add_pipe_reaction("HOCL", "rate", expression="-RXCL") - msx.add_tank_reaction("Nx", "rate", "0") - msx.add_tank_reaction("HOCL", "rate", "0") + msx.add_other_term("RxCl", expression="kd * HOCL + K1 * Nx * HOCL") + msx.add_other_term("RxN", expression="K2 * Nx * HOCL") + msx.add_pipe_reaction("Nx", "rate", expression="-RxN") + msx.add_pipe_reaction("HOCL", "rate", expression="-RxCl") return msx # ===================== Nicotine-chlorine reactive intermediate species # -def nicotine_ri() -> MultispeciesQualityModel: - """A nicotine-chlorine reaction with a reactive intermediate. +def nicotine_ri(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: + r"""A nicotine-chlorine reaction with a reactive intermediate. + Parameters + ---------- + wn : WaterNetworkModel, optional + the water network to use to hold the new or updated reaction model, by default None + Returns ------- MultispeciesQualityModel - a new model for a nicotine-chlorine reaction with a reactive intermediate + the new or updated reaction/quality model + + Model Description + ----------------- + This model defines a simple nicotine-chlorine reaction with a reactive intermediate species. + The model only defines bulk species, and the pipe and tank reactions use the same expressions. + For a simpler model, see :func:`nicotine`. + + Bulk species + .. math:: + Nx &:= \mathrm{mg}_\mathrm{(Nic)}~\text{[nicotine]} \\ + HOCL &:= \mathrm{mg}_\mathrm{(Cl)}~\text{[chlorine]} \\ + NX2 &:= \mathrm{mg}_\mathrm{(Nic_2)}~\text{[reaction~intermediary]} + + Coefficients + .. math:: + k_d &= 3.0 \times 10^{-5}~\mathrm{min}^{-1} \\ + K_1 &= 9.75 \times 10^{-2}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Nic)}}^{-1}\\ + K_2 &= 5.73 \times 10^{-1}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Cl)}}^{-1}\\ + K_3 &= 1.34 \times 10^{-2}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Nic_2)}}^{-1}\\ + K_4 &= 2.19 \times 10^{-2}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Cl)}}^{-1} + + Other terms + .. math:: + RXCL &= k_d \cdot HOCL + K_1 \cdot Nx \cdot HOCL + K_3 \cdot NX2 \cdot HOCL\\ + RXN &= K_2 \cdot Nx \cdot HOCL\\ + RXNX2 &= K_2 \cdot Nx \cdot HOCL - K_4 \cdot NX2 \cdot HOCL + + Pipe reactions and tank reactions *(defined separately for pipe and tank)* + .. math:: + \frac{d}{dt}Nx &= -RXN\\ + \frac{d}{dt}HOCL &= -RXCL\\ + \frac{d}{dt}HOCL &= RXNX2 + + Notes + ----- + If a water network is provided that does not have an ``msx`` attribute, then a new model will be + created and added to the network. The new model will also be returned as an object. + + If a water network is provided that already has an ``msx`` attribute, then this function will: + first check to see if there are variables that are in conflict with the existing reaction + model. If there are conflicts, an exception will be raised. The :attr:`~MultispeciesOptions.area_units` + and :attr:`~MultispeciesOptions.rate_units` will also be checked for conflicts, and an exception raised + if they differ. + If there are no conflicts, then the variables and reactions for this model will be added to the + existing model. If there are conflicts, then the user must resolve them and try again. """ msx = MultispeciesQualityModel() msx.name = "nicotine_ri" msx.title = ("Nicotine - Chlorine reaction with reactive intermediate",) # Set the options - msx.options.area_units = "M2" - msx.options.rate_units = "MIN" + msx.options.area_units = "m2" + msx.options.rate_units = "min" msx.options.timestep = 1 msx.options.atol = 1.0e-10 msx.options.rtol = 1.0e-10 # Add species - msx.add_bulk_species("Nx", units="MG", note="Nicotine") - msx.add_bulk_species("HOCL", units="MG", note="Free Chlorine") - msx.add_bulk_species("NX2", units="MG", note="Intermediate Nicotine Reactive") + msx.add_bulk_species("Nx", units="mg", note="Nicotine") + msx.add_bulk_species("HOCL", units="mg", note="Free Chlorine") + msx.add_bulk_species("NX2", units="mg", note="Intermediate Nicotine Reactive") # Add coefficients msx.add_constant_coeff("kd", 3.0e-5, note="decay rate", units="1/min") msx.add_constant_coeff("K1", global_value=9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") msx.add_constant_coeff("K2", global_value=5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") - msx.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(N2)") + msx.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Nic2)") msx.add_constant_coeff("K4", global_value=2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") # Add terms (named subexpressions) - msx.add_other_term("RXCL", expression="kd*HOCL + K1*Nx*HOCL + K3*NX2*HOCL") - msx.add_other_term("RXN", expression="K2*Nx*HOCL") - msx.add_other_term("RXNX2", expression="K2*Nx*HOCL - K4*NX2*HOCL") + msx.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL + K3 * NX2 * HOCL") + msx.add_other_term("RXN", expression="K2 * Nx * HOCL") + msx.add_other_term("RXNX2", expression="K2 * Nx * HOCL - K4 * NX2 * HOCL") # Add pipe reactions, one per species msx.add_pipe_reaction("Nx", "RATE", expression="-RXN") msx.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") @@ -94,22 +225,76 @@ def nicotine_ri() -> MultispeciesQualityModel: # ===================== Lead plumbosolvency model # -def lead_ppm() -> MultispeciesQualityModel: - """A lead plumbosolvency model [BWMS20]_. +def lead_ppm(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: + r"""A lead plumbosolvency model; please cite [BWMS20]_ if you use this model. + + Parameters + ---------- + wn : WaterNetworkModel, optional + the water network to use to hold the new or updated reaction model, by default None Returns ------- MultispeciesQualityModel - a new lead plumbosolvency model + the new or updated reaction/quality model - Notes - ----- + Model Description + ----------------- + This model is described in [BWMS20]_, and represents plumbosolvency of lead in lead pipes + within a dwelling. + + Bulk species + .. math:: + PB2 := \mathrm{μg}_\mathrm{(Pb)}~\text{[lead]} + + Coefficients + .. math:: + M &= 0.117~\mathrm{μg}_{\mathrm{(Pb)}} \cdot \mathrm{m}^{-2} \cdot \mathrm{s}^{-1} \\ + E &= 140.0~\mathrm{μg}_{\mathrm{(Pb)}} \cdot \mathrm{L}^{-1} + + Parameters [1]_ + .. math:: + F\langle pipe\rangle = \left\{\begin{matrix}1&\mathrm{if}~pipe~\mathrm{is~lead},\\0&\mathrm{otherwise}\end{matrix}\right. + + Pipe reactions [2]_ + .. math:: + \frac{d}{dt}PB2 = F \cdot Av \cdot M \frac{\left( E - PB2 \right)}{E} + + Tank reactions + .. math:: + \frac{d}{dt}PB2 = 0 + + References + ---------- + If this model is used, please cite the following paper(s). .. [BWMS20] J. B. Burkhardt, et al. (2020) "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". `Journal of water resources planning and management`. **146** (12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304 + + Notes + ----- + If a water network is provided that does not have an ``msx`` attribute, then a new model will be + created and added to the network. The new model will also be returned as an object. + + If a water network is provided that already has an ``msx`` attribute, then this function will: + first check to see if there are variables that are in conflict with the existing reaction + model. If there are conflicts, an exception will be raised. The :attr:`~MultispeciesOptions.area_units` + and :attr:`~MultispeciesOptions.rate_units` will also be checked for conflicts, and an exception raised + if they differ. + If there are no conflicts, then the variables and reactions for this model will be added to the + existing model. If there are conflicts, then the user must resolve them and try again. + + .. [1] + The default value of a parameter is specified by "otherwise" in its mathematical definition. Because + the values of a parameter are network dependent, the non-global values will need to be added to any + parameter after the model is added to a network. + .. [2] + The hydraulic variable, :math:`Av`, is the surface area per unit volume (area units/L) of the pipe + where the reaction is taking place. See :numref:`table-msx-hyd-vars` for a list of valid names + for hydraulic variables that can be used in quality expressions. """ msx = MultispeciesQualityModel() msx.name = "lead_ppm" @@ -159,9 +344,9 @@ def lead_ppm() -> MultispeciesQualityModel: "atol": 1e-08, } msx.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") - msx.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-1) * s^(-1)") + msx.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") msx.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") msx.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") - msx.add_pipe_reaction("PB2", "RATE", expression="F*Av*M*(E - PB2)/E") + msx.add_pipe_reaction("PB2", "RATE", expression="F * Av * M * (E - PB2) / E") msx.add_tank_reaction("PB2", "RATE", expression="0") return msx diff --git a/wntr/quality/multispecies.py b/wntr/quality/multispecies.py index 4f9182cae..04c7882cc 100644 --- a/wntr/quality/multispecies.py +++ b/wntr/quality/multispecies.py @@ -36,7 +36,7 @@ EXPR_TRANSFORMS, HYDRAULIC_VARIABLES, RESERVED_NAMES, - SYMPY_RESERVED, + EXPR_FUNCTIONS, AbstractQualityModel, DynamicsType, LocationType, @@ -67,21 +67,14 @@ class Species(ReactionVariable): """A species in a multispecies water quality model. - This is the abstract model for a water quality species. The preferred way - to create a new species is to use one of the following: - - - :meth:`MultispeciesQualityModel.add_bulk_species()` - - :meth:`MultispeciesQualityModel.add_wall_species()` - - :meth:`MultispeciesQualityModel.add_species()` - - :meth:`MultispeciesQualityModel.add_variable()` - - .. rubric:: Attributes - .. autosummary:: - name - units - note - diffusivity - var_type + .. rubric:: Constructor + + The preferred way to create a new species is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_bulk_species()`, + :meth:`~MultispeciesQualityModel.add_wall_species()`, + :meth:`~MultispeciesQualityModel.add_species()`, or + :meth:`~MultispeciesQualityModel.add_variable()`. """ name: str = None @@ -128,18 +121,20 @@ def __init__( Other Parameters ---------------- _qm : MultispeciesQualityModel - the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_species()` API. + the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None """ if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") - self.name = name + self.name: str = name """The name of the variable""" - self.units = units + self.units: str = units """The units used for this species""" self.note = note """A note about this species, by default None""" - self.diffusivity = diffusivity + self.diffusivity: float = diffusivity """The diffusivity value for this species, by default None""" + self.initial_quality: float = initial_quality + """The global initial quality for this species, by default None (C=0.0)""" if atol is not None: atol = float(atol) if rtol is not None: @@ -233,19 +228,13 @@ def to_dict(self): class BulkSpecies(Species): """A bulk species. - The preferred way to create a new bulk species is to use one of the following: - - - :meth:`MultispeciesQualityModel.add_bulk_species()` - - :meth:`MultispeciesQualityModel.add_species()` - - :meth:`MultispeciesQualityModel.add_variable()` - - .. rubric:: Attributes - .. autosummary:: - name - units - note - diffusivity - var_type + .. rubric:: Constructor + + The preferred way to create a new bulk species is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_bulk_species()`, + :meth:`~MultispeciesQualityModel.add_species()`, or + :meth:`~MultispeciesQualityModel.add_variable()`. """ @property @@ -255,20 +244,14 @@ def var_type(self): class WallSpecies(Species): """A wall species. - - The preferred way to create a new wall species is to use one of the following: - - - :meth:`MultispeciesQualityModel.add_wall_species()` - - :meth:`MultispeciesQualityModel.add_species()` - - :meth:`MultispeciesQualityModel.add_variable()` - - .. rubric:: Attributes - .. autosummary:: - name - units - note - diffusivity - var_type + + .. rubric:: Constructor + + The preferred way to create a new wall species is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_wall_species()`, + :meth:`~MultispeciesQualityModel.add_species()`, or + :meth:`~MultispeciesQualityModel.add_variable()`. """ @property @@ -279,21 +262,14 @@ def var_type(self): class Coefficient(ReactionVariable): """A coefficient, either constant or parameterized by pipe or tank, that is used in reaction expressions. - This is the abstract model for a reaction expression coefficient. The preferred way - to create a new coefficient is to use one of the following: - - - :meth:`MultispeciesQualityModel.add_constant_coeff()` - - :meth:`MultispeciesQualityModel.add_parameterized_coeff()` - - :meth:`MultispeciesQualityModel.add_coefficient()` - - :meth:`MultispeciesQualityModel.add_variable()` - - .. rubric:: Attributes - .. autosummary:: - name - global_value - units - note - var_type + .. rubric:: Constructor + + The preferred way to create a new coefficient is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_constant_coeff()`, + :meth:`~MultispeciesQualityModel.add_parameterized_coeff()`, + :meth:`~MultispeciesQualityModel.add_coefficient()`, or + :meth:`~MultispeciesQualityModel.add_variable()`. """ name: str = None @@ -305,7 +281,6 @@ class Coefficient(ReactionVariable): global_value: float = None """The global value for the coefficient""" - def __init__(self, name: str, global_value: float, note: Union[str, Dict[str, str]] = None, units: str = None, *, _qm: AbstractQualityModel = None): """ Parameters @@ -322,7 +297,7 @@ def __init__(self, name: str, global_value: float, note: Union[str, Dict[str, st Other Parameters ---------------- _qm : MultispeciesQualityModel - the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_coefficient()` API. + the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None """ if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") @@ -365,20 +340,14 @@ def to_dict(self): class Constant(Coefficient): """A constant coefficient for reaction expressions. - - The preferred way to create a constant coefficient is to use one of the following: - - - :meth:`MultispeciesQualityModel.add_constant_coeff()` - - :meth:`MultispeciesQualityModel.add_coefficient()` - - :meth:`MultispeciesQualityModel.add_variable()` - - .. rubric:: Attributes - .. autosummary:: - name - global_value - units - note - var_type + + .. rubric:: Constructor + + The preferred way to create a new constant coefficient is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_constant_coeff()`, + :meth:`~MultispeciesQualityModel.add_coefficient()`, or + :meth:`~MultispeciesQualityModel.add_variable()`. """ @property @@ -388,22 +357,14 @@ def var_type(self): class Parameter(Coefficient): """A variable parameter for reaction expressions. - - The preferred way to create a constant coefficient is to use one of the following: - - - :meth:`MultispeciesQualityModel.add_parameterized_coeff()` - - :meth:`MultispeciesQualityModel.add_coefficient()` - - :meth:`MultispeciesQualityModel.add_variable()` - - .. rubric:: Attributes - .. autosummary:: - name - global_value - units - note - var_type - pipe_values - tank_values + + .. rubric:: Constructor + + The preferred way to create a new parameterized coefficient is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_parameterized_coeff()`, + :meth:`~MultispeciesQualityModel.add_coefficient()`, or + :meth:`~MultispeciesQualityModel.add_variable()`. """ def __init__( @@ -436,7 +397,7 @@ def __init__( Other Parameters ---------------- _qm : MultispeciesQualityModel - the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_coefficient()` API. + the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None """ super().__init__(name, global_value=global_value, note=note, units=units, _qm=_qm) self._pipe_values = pipe_values if pipe_values is not None else dict() @@ -510,16 +471,12 @@ def to_dict(self): class OtherTerm(ReactionVariable): """An expression term defined as a function of species, coefficients, or other terms. - The preferred way to create a term is to use one of the following: - - - :meth:`MultispeciesQualityModel.add_other_term()` - - :meth:`MultispeciesQualityModel.add_variable()` - - .. rubric:: Attributes - .. autosummary:: - name - expression - note + .. rubric:: Constructor + + The preferred way to create a new functional term is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_other_term()` or + :meth:`~MultispeciesQualityModel.add_variable()`. """ name: str = None @@ -550,7 +507,7 @@ def __init__( Other Parameters ---------------- _qm : MultispeciesQualityModel - the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_variable()` API. + the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None """ if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") @@ -572,8 +529,8 @@ def __eq__(self, other): def var_type(self): return VariableType.TERM - def to_symbolic(self, transformations=...): - return super().to_symbolic(transformations) + def to_symbolic(self): + return super().to_symbolic() def to_dict(self): rep = dict(name=self.name, expression=self.expression) @@ -592,14 +549,11 @@ class InternalVariable(ReactionVariable): For example, "Len" is the EPANET-MSX name for the length of a pipe, and "I" is a sympy reserved symbol for the imaginary number. - Objects of this type are instantiated when creating a new :class:`MultispeciesQualityModel`, - and should not need to be created by hand. + + .. rubric:: Constructor - .. rubric:: Attributes - .. autosummary:: - name - units - note + Objects of this type are instantiated when creating a new :class:`MultispeciesQualityModel`, + and should not need to be created by hand. """ name: str = None @@ -654,19 +608,13 @@ class RateDynamics(ReactionDynamics): \frac{d}{dt} C(species) = expression - The preferred way to create a new reaction is to use one of: - - - :meth:`MultispeciesQualityModel.add_pipe_reaction()` - - :meth:`MultispeciesQualityModel.add_tank_reaction()` - - :meth:`MultispeciesQualityModel.add_reaction()` - - .. rubric:: Attributes - .. autosummary:: - ~RateDynamics.species - ~RateDynamics.location - ~RateDynamics.expression - ~RateDynamics.expr_type - ~RateDynamics.note + .. rubric:: Constructor + + The preferred way to create a new rate reaction expression is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_pipe_reaction()`, + :meth:`~MultispeciesQualityModel.add_tank_reaction()`, or + :meth:`~MultispeciesQualityModel.add_reaction()`. """ def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): @@ -685,7 +633,7 @@ def __init__(self, species: str, location: LocationType, expression: str, note: Other Parameters ---------------- _qm : MultispeciesQualityModel - the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_reaction()` API. + the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None """ self.species = species """Name of the species being described""" @@ -704,8 +652,8 @@ def __eq__(self, other): def expr_type(self) -> DynamicsType: return DynamicsType.RATE - def to_symbolic(self, transformations=...): - return super().to_symbolic(transformations) + def to_symbolic(self): + return super().to_symbolic() def to_dict(self) -> dict: rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) @@ -728,20 +676,13 @@ class EquilibriumDynamics(ReactionDynamics): 0 = expression - The preferred way to create a new reaction is to use one of: - - - :meth:`MultispeciesQualityModel.add_pipe_reaction()` - - :meth:`MultispeciesQualityModel.add_tank_reaction()` - - :meth:`MultispeciesQualityModel.add_reaction()` - - - .. rubric:: Attributes - .. autosummary:: - ~EquilibriumDynamics.species - ~EquilibriumDynamics.location - ~EquilibriumDynamics.expression - ~EquilibriumDynamics.expr_type - ~EquilibriumDynamics.note + .. rubric:: Constructor + + The preferred way to create a new rate reaction expression is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_pipe_reaction()`, + :meth:`~MultispeciesQualityModel.add_tank_reaction()`, or + :meth:`~MultispeciesQualityModel.add_reaction()`. """ def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): @@ -760,7 +701,7 @@ def __init__(self, species: str, location: LocationType, expression: str, note: Other Parameters ---------------- _qm : MultispeciesQualityModel - the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_reaction()` API. + the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None """ self.species = species """Name of the species being described""" @@ -779,8 +720,8 @@ def __eq__(self, other): def expr_type(self) -> DynamicsType: return DynamicsType.EQUIL - def to_symbolic(self, transformations=...): - return super().to_symbolic(transformations) + def to_symbolic(self): + return super().to_symbolic() def to_dict(self) -> dict: rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) @@ -803,19 +744,13 @@ class FormulaDynamics(ReactionDynamics): C(species) = expression - The preferred way to create a new reaction is to use one of: - - - :meth:`MultispeciesQualityModel.add_pipe_reaction()` - - :meth:`MultispeciesQualityModel.add_tank_reaction()` - - :meth:`MultispeciesQualityModel.add_reaction()` - - .. rubric:: Attributes - .. autosummary:: - ~FormulaDynamics.species - ~FormulaDynamics.location - ~FormulaDynamics.expression - ~FormulaDynamics.expr_type - ~FormulaDynamics.note + .. rubric:: Constructor + + The preferred way to create a new rate reaction expression is to use one of the following + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_pipe_reaction()`, + :meth:`~MultispeciesQualityModel.add_tank_reaction()`, or + :meth:`~MultispeciesQualityModel.add_reaction()`. """ def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): @@ -834,7 +769,7 @@ def __init__(self, species: str, location: LocationType, expression: str, note: Other Parameters ---------------- _qm : MultispeciesQualityModel - the model to link with, used internally when created via the :meth:`~MultispeciesQualityModel.add_reaction()` API. + the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None """ self.species = species """Name of the species being described""" @@ -853,8 +788,8 @@ def __eq__(self, other): def expr_type(self) -> DynamicsType: return DynamicsType.FORMULA - def to_symbolic(self, transformations=...): - return super().to_symbolic(transformations) + def to_symbolic(self): + return super().to_symbolic() def to_dict(self) -> dict: rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) @@ -869,13 +804,6 @@ def to_dict(self) -> dict: class MultispeciesQualityModel(AbstractQualityModel): """A multispecies water quality reactions model, for use with EPANET-MSX. - - .. rubric:: Attributes - .. autosummary:: - ~MultispeciesQualityModel.name - ~MultispeciesQualityModel.title - ~MultispeciesQualityModel.citations - ~MultispeciesQualityModel.options """ def __init__(self, msx_file_name=None): @@ -898,9 +826,6 @@ def __init__(self, msx_file_name=None): self._citations: List[Union[Citation, str]] = list() """A list of citations for the sources of this model's dynamics""" - self._allow_sympy_reserved_names: InitVar[bool] = True - """Allow sympy reserved names (I, E, pi)""" - self._options: InitVar[MultispeciesOptions] = None """A link to the options object""" @@ -923,14 +848,15 @@ def __init__(self, msx_file_name=None): self._source_dict: Dict[str, Dict[str, Source]] = dict() self._inital_qual_dict: Dict[str, Dict[str, Dict[str, float]]] = dict() self._pattern_dict: Dict[str, List[float]] = dict() - + self._report = list() for v in HYDRAULIC_VARIABLES: self._variables[v["name"]] = InternalVariable(v["name"], note=v["note"]) - if not self._allow_sympy_reserved_names: - for name in SYMPY_RESERVED: - self._variables[name] = InternalVariable(name, note="sympy reserved name") + for name in EXPR_FUNCTIONS.keys(): + self._variables[name.lower()] = InternalVariable(name, note="MSX function") + self._variables[name.upper()] = InternalVariable(name, note="MSX function") + self._variables[name.capitalize()] = InternalVariable(name, note="MSX function") if msx_file_name is not None: from wntr.epanet.msx.io import MsxFile @@ -958,24 +884,34 @@ def has_variable(self, name: str) -> bool: """ return name in self._variables.keys() + def variable_dict(self) -> Dict[str, Any]: + vars = dict() + for symb, spec in self._species.items(): + vars[symb] = symbols(symb) + for symb, coeff in self._coeffs.items(): + vars[symb] = symbols(symb) + for symb, term in self._terms.items(): + vars[symb] = symbols(symb) + return vars + @property def variable_name_list(self) -> List[str]: - """A list of all defined variable names""" + """all defined variable names""" return list(self._variables.keys()) @property def species_name_list(self) -> List[str]: - """A list of all defined species names""" + """all defined species names""" return list(self._species.keys()) @property def coefficient_name_list(self) -> List[str]: - """A list of all defined coefficient names""" + """all defined coefficient names""" return list(self._coeffs.keys()) @property def other_term_name_list(self) -> List[str]: - """A list of all defined function (MSX 'terms') names""" + """all defined function (MSX 'terms') names""" return list(self._terms.keys()) def variables(self, var_type: VariableType = None): @@ -1002,7 +938,7 @@ def add_variable(self, var_or_type: Union[ReactionVariable, VariableType], name: Parameters ---------- - var_or_type : RxnVariable or RxnVariableType + var_or_type : RxnVariable | RxnVariableType the variable object to add to the model, or the type if creating a new variable object name : str or None the name of a new variable, must be None if adding an existing object, by default None @@ -1069,7 +1005,7 @@ def add_species( Parameters ---------- - species_type : BULK or WALL + species_type : ~VariableType.BULK | ~VariableType.WALL the type of species name : str the name/symbol of the species @@ -1174,9 +1110,7 @@ def add_wall_species(self, name: str, units: str, atol: float = None, rtol: floa """ return self.add_species(VariableType.WALL, name, units, atol, rtol, note) - def add_coefficient( - self, coeff_type: Union[str, int, VariableType], name: str, global_value: float, note: str = None, units: str = None, **kwargs - ) -> Coefficient: + def add_coefficient(self, coeff_type: Union[str, int, VariableType], name: str, global_value: float, note: str = None, units: str = None, **kwargs) -> Coefficient: """Add a new coefficient to the model. Parameters @@ -1532,16 +1466,16 @@ def get_reaction(self, species, location): the requested reaction object """ if species is None: - raise TypeError('species must be a string or Species') + raise TypeError("species must be a string or Species") if location is None: - raise TypeError('location must be a string, int, or LocationType') + raise TypeError("location must be a string, int, or LocationType") species = str(species) location = LocationType.get(location) loc = location.name.lower() if location == LocationType.PIPE: - return self._pipe_dynamics.get(species+'.'+loc) + return self._pipe_dynamics.get(species + "." + loc) elif location == LocationType.TANK: - return self._tank_dynamics.get(species+'.'+loc) + return self._tank_dynamics.get(species + "." + loc) def init_printing(self, *args, **kwargs): """Call sympy.init_printing""" diff --git a/wntr/utils/disjoint_mapping.py b/wntr/utils/disjoint_mapping.py index fb767057d..8370f9d0c 100644 --- a/wntr/utils/disjoint_mapping.py +++ b/wntr/utils/disjoint_mapping.py @@ -52,8 +52,8 @@ def add_disjoint_group(self, name): def get_disjoint_group(self, name: str): return self.__groups[name] - def get_groupname(self, __key: Hashable): - return self.__key_groupnames[__key] + def get_groupname(self, _key: Hashable): + return self.__key_groupnames[_key] def add_item_to_group(self, groupname, key, value): current = self.__key_groupnames.get(key, None) @@ -153,21 +153,21 @@ class DisjointMappingGroup(MutableMapping): __keyspace: "DisjointMapping" = None _data: dict = None - def __new__(cls, name: str, __keyspace: "DisjointMapping"): + def __new__(cls, name: str, _keyspace: "DisjointMapping"): if name is None: raise TypeError("A name must be specified") - if __keyspace is None: + if _keyspace is None: raise TypeError("A registry must be specified") newobj = super().__new__(cls) return newobj - def __init__(self, name: str, __keyspace: "DisjointMapping"): + def __init__(self, name: str, _keyspace: "DisjointMapping"): if name is None: raise TypeError("A name must be specified") - if __keyspace is None: + if _keyspace is None: raise TypeError("A registry must be specified") self.__name: str = name - self.__keyspace: DisjointMapping = __keyspace + self.__keyspace: DisjointMapping = _keyspace self._data = dict() def __getitem__(self, __key: Any) -> Any: diff --git a/wntr/utils/enumtools.py b/wntr/utils/enumtools.py index f853551a7..8f02fe281 100644 --- a/wntr/utils/enumtools.py +++ b/wntr/utils/enumtools.py @@ -36,27 +36,6 @@ def wrap(cls, prefix, abbrev): def get(cls, value: Union[str, int, Enum], prefix='', abbrev=False): """Get the proper enum based on the name or value of the argument. - The get method behaves as follows. - For an integer, the integer value will be used to select the proper member. - For an :class:`Enum` object, the object's ``name`` will be used, and it will - be processed as a string. For a string, the method will: - - 1. capitalize the string - 2. remove leading or trailing spaces - 3. convert interior spaces or dashes to underscores - 4. optionally, remove a specified prefix from a string (using ``prefix``, which - should have a default assigned by the :func:`wntr.utils.enumtools.add_get` - function.) - - It will then try to get the member with the name corresponding to the converted - string. - - 5. optionally, if ``abbrev`` is True, then the string will be truncated to the first - letter, only, after trying to use the full string as passed in. The ``abbrev`` - parameter will have a default value based on how the :func:`~wntr.utils.enumtools.add_get` - decorator was called on this class. - - Parameters ---------- value : Union[str, int, Enum] @@ -77,6 +56,29 @@ def get(cls, value: Union[str, int, Enum], prefix='', abbrev=False): if ``value`` is an invalid type ValueError if ``value`` is invalid + + Notes + ----- + The get method behaves as follows. + For an integer, the integer value will be used to select the proper member. + For an :class:`Enum` object, the object's ``name`` will be used, and it will + be processed as a string. For a string, the method will: + + 1. capitalize the string + 2. remove leading or trailing spaces + 3. convert interior spaces or dashes to underscores + 4. optionally, remove a specified prefix from a string (using ``prefix``, which + should have a default assigned by the :func:`wntr.utils.enumtools.add_get` + function.) + + It will then try to get the member with the name corresponding to the converted + string. + + 5. optionally, if ``abbrev`` is True, then the string will be truncated to the first + letter, only, after trying to use the full string as passed in. The ``abbrev`` + parameter will have a default value based on how the :func:`~wntr.utils.enumtools.add_get` + decorator was called on this class. + """ if value is None: return None From 6b73e6c4e63abe543c2d9ae59805510aaaf9f6f9 Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 12 Oct 2023 12:53:13 -0600 Subject: [PATCH 030/118] Updates pulling MSX into the WaterNetworkModel * Added as a part of the WaterNetworkModel named "msx" * Made names consistent with wntr.network namings --- wntr/network/base.py | 2 +- wntr/network/model.py | 14 ++++++++++ wntr/network/options.py | 7 ----- wntr/quality/__init__.py | 4 +-- wntr/quality/base.py | 16 ++++++------ wntr/quality/multispecies.py | 48 ++++++++++++++++------------------ wntr/utils/disjoint_mapping.py | 9 +++++-- 7 files changed, 55 insertions(+), 45 deletions(-) diff --git a/wntr/network/base.py b/wntr/network/base.py index 1ce26e832..20ddc94eb 100644 --- a/wntr/network/base.py +++ b/wntr/network/base.py @@ -502,7 +502,7 @@ def status(self, status): @property def initial_quality(self): - """float or dict : The initial quality (concentration) at the node, or a dict of species and quality if multispecies""" + """float or dict : a dict of species and quality if multispecies is active""" if not self._initial_quality: return 0.0 return self._initial_quality diff --git a/wntr/network/model.py b/wntr/network/model.py index 346a01f8d..5fee95248 100644 --- a/wntr/network/model.py +++ b/wntr/network/model.py @@ -83,6 +83,7 @@ def __init__(self, inp_file_name=None): self._curve_reg = CurveRegistry(self) self._controls = OrderedDict() self._sources = SourceRegistry(self) + self._msx = None self._node_reg._finalize_(self) self._link_reg._finalize_(self) @@ -327,6 +328,19 @@ def gpvs(self): """Iterator over all general purpose valves (GPVs)""" return self._link_reg.gpvs + @property + def msx(self): + """A multispecies water quality model, if defined""" + return self._msx + + @msx.setter + def msx(self, msx): + if msx is None: + self._msx = None + from wntr.quality.base import AbstractQualityModel + if not isinstance(msx, AbstractQualityModel): + raise TypeError('Expected AbstractQualityModel (or derived), got {}'.format(type(msx))) + """ ### # ### Create blank, unregistered objects (for direct assignment) diff --git a/wntr/network/options.py b/wntr/network/options.py index a63127675..8daa855f2 100644 --- a/wntr/network/options.py +++ b/wntr/network/options.py @@ -1,13 +1,6 @@ """ The wntr.network.options module includes simulation options. -.. note:: - - This module has been changed in version 0.2.3 to incorporate the new options - that EPANET 2.2 requires. It also reorganizes certain options to better align - with EPANET nomenclature. This change is not backwards compatible, particularly - when trying to use pickle files with older options. - .. rubric:: Classes .. autosummary:: diff --git a/wntr/quality/__init__.py b/wntr/quality/__init__.py index 5f7c85291..52691d7c7 100644 --- a/wntr/quality/__init__.py +++ b/wntr/quality/__init__.py @@ -9,8 +9,8 @@ from .base import ( DynamicsType, LocationType, - ReactionDynamics, - ReactionVariable, + AbstractReaction, + AbstractVariable, VariableType, ) from .multispecies import FormulaDynamics diff --git a/wntr/quality/base.py b/wntr/quality/base.py index 45b758511..bd8bc3cf9 100644 --- a/wntr/quality/base.py +++ b/wntr/quality/base.py @@ -252,7 +252,7 @@ class VariableType(Enum): """A coefficient that has a value dependent on the pipe or tank""" TERM = 16 """A term that is aliased for ease of writing expressions""" - INTERNAL = 32 + EXTERNAL = 32 """An internal variable - see :attr:`~wntr.reaction.base.RESERVED_NAMES`""" B = BULK @@ -260,7 +260,7 @@ class VariableType(Enum): C = CONSTANT P = PARAMETER T = TERM - I = INTERNAL + E = EXTERNAL CONST = CONSTANT PARAM = PARAMETER @@ -328,7 +328,7 @@ class DynamicsType(Enum): F = FORMULA -class ReactionVariable(ABC): +class AbstractVariable(ABC): """The base for a reaction variable. Attributes @@ -423,7 +423,7 @@ def to_symbolic(self, transformations=EXPR_TRANSFORMS): return self.symbol -class ReactionDynamics(ABC): +class AbstractReaction(ABC): """The base for a reaction. Attributes @@ -525,12 +525,12 @@ def variable_dict(self) -> Dict[str, Any]: raise NotImplementedError @abstractmethod - def add_variable(self, __variable: ReactionVariable): + def add_variable(self, __variable: AbstractVariable): """Add a variable *object* to the model""" raise NotImplementedError @abstractmethod - def get_variable(self, name: str) -> ReactionVariable: + def get_variable(self, name: str) -> AbstractVariable: """Get a specific variable by name""" raise NotImplementedError @@ -545,12 +545,12 @@ def reactions(self, location=None): raise NotImplementedError @abstractmethod - def add_reaction(self, __reaction: ReactionDynamics): + def add_reaction(self, __reaction: AbstractReaction): """Add a reaction *object* to the model""" raise NotImplementedError @abstractmethod - def get_reaction(self, species, location=None) -> List[ReactionDynamics]: + def get_reaction(self, species, location=None) -> List[AbstractReaction]: """Get reaction(s) for a species, optionally only for one location""" raise NotImplementedError diff --git a/wntr/quality/multispecies.py b/wntr/quality/multispecies.py index 04c7882cc..2f9654705 100644 --- a/wntr/quality/multispecies.py +++ b/wntr/quality/multispecies.py @@ -40,8 +40,8 @@ AbstractQualityModel, DynamicsType, LocationType, - ReactionDynamics, - ReactionVariable, + AbstractReaction, + AbstractVariable, VariableType, ) from .options import MultispeciesOptions @@ -64,7 +64,7 @@ logger = logging.getLogger(__name__) -class Species(ReactionVariable): +class Species(AbstractVariable): """A species in a multispecies water quality model. .. rubric:: Constructor @@ -259,7 +259,7 @@ def var_type(self): return VariableType.WALL -class Coefficient(ReactionVariable): +class Coefficient(AbstractVariable): """A coefficient, either constant or parameterized by pipe or tank, that is used in reaction expressions. .. rubric:: Constructor @@ -468,7 +468,7 @@ def to_dict(self): @dataclass(repr=False) -class OtherTerm(ReactionVariable): +class OtherTerm(AbstractVariable): """An expression term defined as a function of species, coefficients, or other terms. .. rubric:: Constructor @@ -544,7 +544,7 @@ def to_dict(self): @dataclass(repr=False) -class InternalVariable(ReactionVariable): +class InternalVariable(AbstractVariable): """A hydraulic variable or a placeholder for a built-in reserved word. For example, "Len" is the EPANET-MSX name for the length of a pipe, and "I" is a sympy @@ -594,11 +594,11 @@ def __eq__(self, other): @property def var_type(self): - return VariableType.INTERNAL + return VariableType.EXTERNAL @dataclass(repr=False) -class RateDynamics(ReactionDynamics): +class RateDynamics(AbstractReaction): r"""A rate-of-change reaction dynamics expression. Used to supply the equation that expresses the rate of change of the given species @@ -667,7 +667,7 @@ def to_dict(self) -> dict: @dataclass(repr=False) -class EquilibriumDynamics(ReactionDynamics): +class EquilibriumDynamics(AbstractReaction): """An equilibrium reaction expression. Used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero. @@ -735,7 +735,7 @@ def to_dict(self) -> dict: @dataclass(repr=False) -class FormulaDynamics(ReactionDynamics): +class FormulaDynamics(AbstractReaction): """A formula-based reaction dynamics expression. Used when the concentration of the named species is a simple function of the remaining species. @@ -826,14 +826,12 @@ def __init__(self, msx_file_name=None): self._citations: List[Union[Citation, str]] = list() """A list of citations for the sources of this model's dynamics""" - self._options: InitVar[MultispeciesOptions] = None + self._options: MultispeciesOptions() """A link to the options object""" self._wn: WaterNetworkModel = None """A link to a water network model""" - self._options = MultispeciesOptions() - self._variables: DisjointMapping = DisjointMapping() self._species = self._variables.add_disjoint_group("species") self._coeffs = self._variables.add_disjoint_group("coeffs") @@ -863,7 +861,7 @@ def __init__(self, msx_file_name=None): inp = MsxFile() inp.read(msx_file_name, self) - def _is_variable_registered(self, var_or_name: Union[str, ReactionVariable]) -> bool: + def _is_variable_registered(self, var_or_name: Union[str, AbstractVariable]) -> bool: name = str(var_or_name) if name in self._variables.keys(): return True @@ -933,7 +931,7 @@ def variables(self, var_type: VariableType = None): continue yield v - def add_variable(self, var_or_type: Union[ReactionVariable, VariableType], name: str = None, **kwargs): + def add_variable(self, var_or_type: Union[AbstractVariable, VariableType], name: str = None, **kwargs): """Add an new variable to the model, or add an existing, unlinked variable object to the model. Parameters @@ -954,7 +952,7 @@ def add_variable(self, var_or_type: Union[ReactionVariable, VariableType], name: VariableNameExistsError if the variable or name uses the same name an existing variable already uses """ - if not isinstance(var_or_type, (ReactionVariable,)): + if not isinstance(var_or_type, (AbstractVariable,)): try: var_or_type = VariableType.get(var_or_type) except Exception as e: @@ -1265,7 +1263,7 @@ def remove_variable(self, name: str): self._source_dict.__delitem__(name) return self._variables.__delitem__(name) - def get_variable(self, name: str) -> ReactionVariable: + def get_variable(self, name: str) -> AbstractVariable: """Get a variable based on its name (symbol). Parameters @@ -1341,7 +1339,7 @@ def add_reaction(self, location: LocationType, species: Union[str, Species], dyn species = str(species) if species not in self._species.keys(): raise ValueError("The species {} does not exist in the model, failed to add reaction.".format(species)) - _key = ReactionDynamics.to_key(species, location) + _key = AbstractReaction.to_key(species, location) if _key in self._dynamics.keys(): raise RuntimeError("The species {} already has a {} reaction defined. Use set_reaction instead.") dynamics = DynamicsType.get(dynamics) @@ -1362,7 +1360,7 @@ def add_reaction(self, location: LocationType, species: Union[str, Species], dyn raise ValueError("Invalid location type, {}".format(location)) return new - def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None) -> ReactionDynamics: + def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None) -> AbstractReaction: """Add a pipe reaction. See also :meth:`add_reaction`. Parameters @@ -1383,7 +1381,7 @@ def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, i """ return self.add_reaction(LocationType.PIPE, species=species, dynamics=dynamics, expression=expression, note=note) - def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None) -> ReactionDynamics: + def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None) -> AbstractReaction: """Add a pipe reaction. See also :meth:`add_reaction`. Parameters @@ -1425,24 +1423,24 @@ def remove_reaction(self, species: Union[str, Species], location: Union[str, int if location is None: raise TypeError('location cannot be None when removing a reaction. Use "all" for all locations.') elif location == "all": - name = ReactionDynamics.to_key(species, LocationType.PIPE) + name = AbstractReaction.to_key(species, LocationType.PIPE) try: self._pipe_dynamics.__delitem__(name) except KeyError: pass - name = ReactionDynamics.to_key(species, LocationType.TANK) + name = AbstractReaction.to_key(species, LocationType.TANK) try: self._tank_dynamics.__delitem__(name) except KeyError: pass elif location is LocationType.PIPE: - name = ReactionDynamics.to_key(species, LocationType.PIPE) + name = AbstractReaction.to_key(species, LocationType.PIPE) try: self._pipe_dynamics.__delitem__(name) except KeyError: pass elif location is LocationType.TANK: - name = ReactionDynamics.to_key(species, LocationType.TANK) + name = AbstractReaction.to_key(species, LocationType.TANK) try: self._tank_dynamics.__delitem__(name) except KeyError: @@ -1500,7 +1498,7 @@ def options(self, value): if isinstance(value, dict): self._options = MultispeciesOptions.factory(value) elif not isinstance(value, MultispeciesOptions): - raise TypeError("Expected a RxnOptions object, got {}".format(type(value))) + raise TypeError("Expected a MultispeciesOptions object, got {}".format(type(value))) else: self._options = value diff --git a/wntr/utils/disjoint_mapping.py b/wntr/utils/disjoint_mapping.py index 8370f9d0c..27dc32c34 100644 --- a/wntr/utils/disjoint_mapping.py +++ b/wntr/utils/disjoint_mapping.py @@ -42,10 +42,15 @@ def __init__(self, *args, **kwargs): self.__key_groupnames[k] = None self.__usage[k] = set() - def add_disjoint_group(self, name): + def add_disjoint_group(self, name, cls = None): if name in self.__groups.keys(): raise KeyError("Disjoint group already exists within registry") - new = DisjointMappingGroup(name, self) + if cls is None: + new = DisjointMappingGroup(name, self) + elif issubclass(cls, DisjointMappingGroup): + new = cls(name, self) + else: + raise TypeError('cls must be a subclass of DisjointMappingGroup, got {}'.format(cls)) self.__groups.__setitem__(name, new) return new From ca3451a38edf31ca25c429f7dc379217fb0b2140 Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 24 Oct 2023 12:55:03 -0600 Subject: [PATCH 031/118] Stashing --- wntr/quality/base.py | 221 +++++++--- wntr/quality/multispecies.py | 781 +++++++++++++++++++++++++---------- 2 files changed, 733 insertions(+), 269 deletions(-) diff --git a/wntr/quality/base.py b/wntr/quality/base.py index bd8bc3cf9..1912aab46 100644 --- a/wntr/quality/base.py +++ b/wntr/quality/base.py @@ -10,8 +10,7 @@ import logging from abc import ABC, abstractmethod, abstractproperty from collections.abc import MutableMapping -from dataclasses import InitVar, dataclass -from enum import Enum, IntFlag +from enum import Enum, IntFlag, IntEnum from typing import Any, ClassVar, Dict, Generator, List, Union import numpy as np @@ -25,30 +24,89 @@ has_sympy = False try: - from sympy import Float, Symbol, init_printing, symbols, Function, Mul, Add, Pow, Integer - from sympy.functions import cos, sin, tan, cot, Abs, sign, sqrt, log, exp, asin, acos, atan, acot, sinh, cosh, tanh, coth, Heaviside + from sympy import ( + Float, + Symbol, + init_printing, + symbols, + Function, + Mul, + Add, + Pow, + Integer, + ) + from sympy.functions import ( + cos, + sin, + tan, + cot, + Abs, + sign, + sqrt, + log, + exp, + asin, + acos, + atan, + acot, + sinh, + cosh, + tanh, + coth, + Heaviside, + ) from sympy.parsing import parse_expr - from sympy.parsing.sympy_parser import convert_xor, standard_transformations, auto_number, auto_symbol + from sympy.parsing.sympy_parser import ( + convert_xor, + standard_transformations, + auto_number, + auto_symbol, + ) + class _log10(Function): @classmethod def eval(cls, x): return log(x, 10) + has_sympy = True except ImportError: sympy = None has_sympy = False - logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") + logging.critical( + "This python installation does not have SymPy installed. Certain functionality will be disabled." + ) standard_transformations = (None,) convert_xor = None if not has_sympy: - from numpy import cos, sin, tan, abs, sign, sqrt, log, exp, arcsin, arccos, arctan, sinh, cosh, tanh, heaviside, log10 - cot = lambda x : 1 / tan(x) + from numpy import ( + cos, + sin, + tan, + abs, + sign, + sqrt, + log, + exp, + arcsin, + arccos, + arctan, + sinh, + cosh, + tanh, + heaviside, + log10, + ) + + def _cot(x): return 1 / tan(x) + cot = _cot Abs = abs asin = arcsin acos = arccos atan = arctan - acot = lambda x : 1 / arctan(1 / x) - coth = lambda x : 1 / tanh(x) + def _acot(x): return 1 / arctan(1 / x) + acot = _acot + def _coth(x): return 1 / tanh(x) + coth = _coth Heaviside = heaviside _log10 = log10 @@ -163,7 +221,7 @@ def eval(cls, x): + tuple([k for k, v in EXPR_FUNCTIONS.items()]) + tuple([k.upper() for k, v in EXPR_FUNCTIONS.items()]) + tuple([k.capitalize() for k, v in EXPR_FUNCTIONS.items()]) - + ('Mul', 'Add', 'Pow', 'Integer', 'Float') + + ("Mul", "Add", "Pow", "Integer", "Float") ) """The WNTR reserved names. This includes the MSX hydraulic variables (see :numref:`table-msx-hyd-vars`) and the MSX defined functions @@ -180,11 +238,11 @@ def eval(cls, x): _global_dict[k.upper()] = v for v in HYDRAULIC_VARIABLES: _global_dict[v["name"]] = symbols(v["name"]) -_global_dict['Mul'] = Mul -_global_dict['Add'] = Add -_global_dict['Pow'] = Pow -_global_dict['Integer'] = Integer -_global_dict['Float'] = Float +_global_dict["Mul"] = Mul +_global_dict["Add"] = Add +_global_dict["Pow"] = Pow +_global_dict["Integer"] = Integer +_global_dict["Float"] = Float EXPR_TRANSFORMS = ( auto_symbol, @@ -217,9 +275,17 @@ def eval(cls, x): :meta hide-value: """ +class AnnotatedFloat(float): + def __new__(self, value, note=None): + return float.__new__(self, value) + + def __init__(self, value, note=None): + float.__init__(value) + self.note = note + @add_get(abbrev=True) -class VariableType(Enum): +class QualityVarType(IntEnum): """The type of reaction variable. The following types are defined, and aliases of just the first character @@ -227,12 +293,49 @@ class VariableType(Enum): .. rubric:: Enum Members .. autosummary:: - BULK - WALL + + SPECIES CONSTANT PARAMETER TERM - INTERNAL + RESERVED + + .. rubric:: Class Methods + .. autosummary:: + :nosignatures: + + get + + """ + + SPECIES = 3 + """A chemical or biological water quality species""" + TERM = 4 + """A functional term - ie named expression - for use in reaction expressions""" + PARAMETER = 5 + """A reaction expression coefficient that is parameterized by tank or pipe""" + CONSTANT = 6 + """A constant coefficient for use in reaction expressions""" + RESERVED = 9 + """A 'variable' that is either a hydraulic variable or other reserved word""" + S = SPEC = SPECIES + T = TERM + P = PARAM = PARAMETER + C = CONST = CONSTANT + R = RES = RESERVED + + +@add_get(abbrev=True) +class SpeciesType(IntEnum): + """The enumeration for species type. + + .. warning:: These enum values are note the same as the MSX SpeciesType. + + .. rubric:: Enum Members + + .. autosummary:: + BULK + WALL .. rubric:: Class Methods .. autosummary:: @@ -243,28 +346,12 @@ class VariableType(Enum): """ BULK = 1 - """A species that reacts with other bulk chemicals""" + """bulk species""" WALL = 2 - """A species that reacts with the pipe walls""" - CONSTANT = 4 - """A constant coefficient for use in a reaction expression""" - PARAMETER = 8 - """A coefficient that has a value dependent on the pipe or tank""" - TERM = 16 - """A term that is aliased for ease of writing expressions""" - EXTERNAL = 32 - """An internal variable - see :attr:`~wntr.reaction.base.RESERVED_NAMES`""" - + """wall species""" B = BULK W = WALL - C = CONSTANT - P = PARAMETER - T = TERM - E = EXTERNAL - - CONST = CONSTANT - PARAM = PARAMETER - + @add_get(abbrev=True) class LocationType(Enum): @@ -353,7 +440,9 @@ def _variable_registry(self) -> "AbstractQualityModel": @_variable_registry.setter def _variable_registry(self, value): if value is not None and not isinstance(value, AbstractQualityModel): - raise TypeError("Linked model must be a RxnModelRegistry, got {}".format(type(value))) + raise TypeError( + "Linked model must be a RxnModelRegistry, got {}".format(type(value)) + ) self.__variable_registry = value def validate(self): @@ -368,7 +457,7 @@ def validate(self): raise TypeError("This object is not connected to any RxnModelRegistry") @abstractproperty - def var_type(self) -> VariableType: + def var_type(self) -> QualityVarType: """The variable type.""" raise NotImplementedError @@ -380,7 +469,7 @@ def is_species(self) -> bool: bool True if this is a species object, False otherwise """ - return self.var_type == VariableType.BULK or self.var_type == VariableType.WALL + return self.var_type == QualityVarType.SPECIES def is_coeff(self) -> bool: """Check to see if this variable represents a coefficient (constant or parameter). @@ -390,7 +479,10 @@ def is_coeff(self) -> bool: bool True if this is a coefficient object, False otherwise """ - return self.var_type == VariableType.CONST or self.var_type == VariableType.PARAM + return ( + self.var_type == QualityVarType.CONST + or self.var_type == QualityVarType.PARAM + ) def is_other_term(self) -> bool: """Check to see if this variable represents a function (MSX term). @@ -400,7 +492,7 @@ def is_other_term(self) -> bool: bool True if this is a term/function object, False otherwise """ - return self.var_type == VariableType.TERM + return self.var_type == QualityVarType.TERM @property def symbol(self): @@ -430,19 +522,34 @@ class AbstractReaction(ABC): ---------- species : str the name of the species whose reaction dynamics is being described - location : RxnLocationType or str + location : LocationType | str the location the reaction occurs (pipes or tanks) + dynamics : DynamicsType | str + the type of reaction dynamics (left-hand-side) expression : str the expression for the reaction dynamics (right-hand-side) """ def __str__(self) -> str: - """Names the reaction with the format `species-dot-location` (for example, ``PB2.pipe``)""" - return self.to_key(self.species, self.location) + """Name of the species""" + return self.species # self.to_key(self.species, self.location) def __hash__(self) -> int: """Makes the reaction hashable by hashing the `str` representation""" - return hash(str(self)) + return hash(self.to_key(self.species, self.location)) + + def __repr__(self) -> str: + return "{}(species={}, location={}, expression={}, note={})".format( + self.__class__.__name__, + repr(self.species), + repr( + self.location.name + if isinstance(self.location, LocationType) + else self.location + ), + repr(self.expression), + repr(self.note.to_dict() if hasattr(self.note, "to_dict") else self.note), + ) __variable_registry = None @@ -453,7 +560,9 @@ def _variable_registry(self) -> "AbstractQualityModel": @_variable_registry.setter def _variable_registry(self, value): if value is not None and not isinstance(value, AbstractQualityModel): - raise TypeError("Linked model must be a RxnModelRegistry, got {}".format(type(value))) + raise TypeError( + "Linked model must be a RxnModelRegistry, got {}".format(type(value)) + ) self.__variable_registry = value def validate(self): @@ -468,7 +577,7 @@ def validate(self): raise TypeError("This object is not connected to any RxnModelRegistry") @abstractproperty - def expr_type(self) -> DynamicsType: + def dynamics(self) -> DynamicsType: """The type of reaction dynamics being described (or, the left-hand-side of the equation)""" raise NotImplementedError @@ -490,7 +599,7 @@ def to_key(cls, species, location): a species/location unique name """ location = LocationType.get(location) - return str(species) + "." + location.name.lower() + return str(species) + "::" + location.name.lower() @abstractmethod def to_symbolic(self, transformations: tuple = EXPR_TRANSFORMS): @@ -508,7 +617,15 @@ def to_symbolic(self, transformations: tuple = EXPR_TRANSFORMS): """ if not has_sympy: return self.expression - return parse_expr(self.expression, local_dict=self._variable_registry.variable_dict() if self._variable_registry is not None else None, transformations=transformations, global_dict=_global_dict, evaluate=False) + return parse_expr( + self.expression, + local_dict=self._variable_registry.variable_dict() + if self._variable_registry is not None + else None, + transformations=transformations, + global_dict=_global_dict, + evaluate=False, + ) class AbstractQualityModel(ABC): diff --git a/wntr/quality/multispecies.py b/wntr/quality/multispecies.py index 2f9654705..d9adccdb6 100644 --- a/wntr/quality/multispecies.py +++ b/wntr/quality/multispecies.py @@ -9,7 +9,7 @@ import logging import warnings from collections.abc import MutableMapping -from dataclasses import InitVar, asdict, dataclass, field +from dataclasses import InitVar, asdict, field from enum import Enum, IntFlag from typing import ( Any, @@ -29,7 +29,6 @@ from wntr.epanet.util import ENcomment from wntr.network.elements import Source from wntr.network.model import PatternRegistry, SourceRegistry, WaterNetworkModel -from wntr.utils.citations import Citation from wntr.utils.disjoint_mapping import DisjointMapping, KeyExistsError from .base import ( @@ -42,7 +41,8 @@ LocationType, AbstractReaction, AbstractVariable, - VariableType, + QualityVarType, + SpeciesType, ) from .options import MultispeciesOptions @@ -55,7 +55,9 @@ has_sympy = True except ImportError: sympy = None - logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") + logging.critical( + "This python installation does not have SymPy installed. Certain functionality will be disabled." + ) standard_transformations = (None,) convert_xor = None has_sympy = False @@ -70,7 +72,7 @@ class Species(AbstractVariable): .. rubric:: Constructor The preferred way to create a new species is to use one of the following - functions from the :class:`MultispeciesQualityModel`: + functions from the :class:`MultispeciesQualityModel`: :meth:`~MultispeciesQualityModel.add_bulk_species()`, :meth:`~MultispeciesQualityModel.add_wall_species()`, :meth:`~MultispeciesQualityModel.add_species()`, or @@ -85,24 +87,24 @@ class Species(AbstractVariable): """A note to go with this species""" diffusivity: float = None """A value for diffusivity for this species""" - initial_quality: float = None - """Global initial quality for this species""" def __init__( self, + species_type: Union[SpeciesType, str], name: str, units: str, atol: float = None, rtol: float = None, note: Union[str, Dict[str, str]] = None, diffusivity: float = None, - initial_quality: float = None, *, _qm: AbstractQualityModel = None, ): """ Parameters ---------- + species_type: SpeciesType | str + The type of species, either BULK or WALL name : str The name (symbol) for the variable, must be a valid MSX name units : str @@ -115,8 +117,6 @@ def __init__( A note about this species, by default None diffusivity : float, optional The diffusivity value for this species, by default None - initial_quality: float, optional - The global initial quality for this species, by default None Other Parameters ---------------- @@ -125,6 +125,9 @@ def __init__( """ if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") + self._species_type = SpeciesType.get(species_type) + if self._species_type is None: + raise TypeError("species_type cannot be None") self.name: str = name """The name of the variable""" self.units: str = units @@ -133,20 +136,29 @@ def __init__( """A note about this species, by default None""" self.diffusivity: float = diffusivity """The diffusivity value for this species, by default None""" - self.initial_quality: float = initial_quality - """The global initial quality for this species, by default None (C=0.0)""" if atol is not None: atol = float(atol) if rtol is not None: rtol = float(rtol) if (atol is None) ^ (rtol is None): - raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) + raise TypeError( + "atol and rtol must be the same type, got {} and {}".format(atol, rtol) + ) self._atol = atol self._rtol = rtol self._variable_registry = _qm def __repr__(self): - return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.units), self._atol, self._rtol, repr(self.note)) + return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format( + self.__class__.__name__, + repr(self.name), + repr(self.units), + self._atol, + self._rtol, + repr( + self.note if not isinstance(self.note, ENcomment) else asdict(self.note) + ), + ) def __eq__(self, other): return ( @@ -158,6 +170,25 @@ def __eq__(self, other): and self._rtol == other._rtol ) + @property + def var_type(self): + return QualityVarType.SPECIES + + @property + def species_type(self) -> SpeciesType: + """Type type of species (bulk or wall)""" + return self._species_type + + @property + def is_bulk(self) -> bool: + """Is this a bulk species?""" + return self._species_type is SpeciesType.BULK + + @property + def is_wall(self) -> bool: + """Is this a wall species?""" + return self._species_type is SpeciesType.WALL + def get_tolerances(self) -> Tuple[float, float]: """Get the species-specific solver tolerances. @@ -197,7 +228,11 @@ def set_tolerances(self, absolute: float, relative: float): if not isinstance(relative, float): relative = float(relative) except Exception as e: - raise TypeError("absolute and relative must be the same type, got {} and {}".format(absolute, relative)) + raise TypeError( + "absolute and relative must be the same type, got {} and {}".format( + absolute, relative + ) + ) if absolute <= 0: raise ValueError("Absolute tolerance must be greater than 0") if relative <= 0: @@ -210,12 +245,17 @@ def clear_tolerances(self): self._atol = self._rtol = None def to_dict(self): - rep = dict(name=self.name, unist=self.units) + rep = dict( + name=self.name, + species_type=self.species_type.name.lower(), + units=self.units, + ) tols = self.get_tolerances() if tols is not None: rep["atol"] = tols[0] rep["rtol"] = tols[1] - rep["diffusivity"] = self.diffusivity + if self.diffusivity: + rep["diffusivity"] = self.diffusivity if isinstance(self.note, str): rep["note"] = self.note elif isinstance(self.note, ENcomment): @@ -225,49 +265,15 @@ def to_dict(self): return rep -class BulkSpecies(Species): - """A bulk species. - - .. rubric:: Constructor - - The preferred way to create a new bulk species is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_bulk_species()`, - :meth:`~MultispeciesQualityModel.add_species()`, or - :meth:`~MultispeciesQualityModel.add_variable()`. - """ - - @property - def var_type(self): - return VariableType.BULK - - -class WallSpecies(Species): - """A wall species. - - .. rubric:: Constructor - - The preferred way to create a new wall species is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_wall_species()`, - :meth:`~MultispeciesQualityModel.add_species()`, or - :meth:`~MultispeciesQualityModel.add_variable()`. - """ - - @property - def var_type(self): - return VariableType.WALL - - -class Coefficient(AbstractVariable): - """A coefficient, either constant or parameterized by pipe or tank, that is used in reaction expressions. +class Constant(AbstractVariable): + """A constant coefficient that is used in reaction expressions. .. rubric:: Constructor The preferred way to create a new coefficient is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_constant_coeff()`, - :meth:`~MultispeciesQualityModel.add_parameterized_coeff()`, + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_constant()`, + :meth:`~MultispeciesQualityModel.add_parameter()`, :meth:`~MultispeciesQualityModel.add_coefficient()`, or :meth:`~MultispeciesQualityModel.add_variable()`. """ @@ -281,7 +287,15 @@ class Coefficient(AbstractVariable): global_value: float = None """The global value for the coefficient""" - def __init__(self, name: str, global_value: float, note: Union[str, Dict[str, str]] = None, units: str = None, *, _qm: AbstractQualityModel = None): + def __init__( + self, + name: str, + global_value: float, + note: Union[str, Dict[str, str]] = None, + units: str = None, + *, + _qm: AbstractQualityModel = None, + ): """ Parameters ---------- @@ -312,10 +326,23 @@ def __init__(self, name: str, global_value: float, note: Union[str, Dict[str, st self._variable_registry = _qm def __repr__(self): - return "{}(name={}, global_value={}, units={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.global_value), repr(self.units), repr(self.note)) + return "{}(name={}, global_value={}, units={}, note={})".format( + self.__class__.__name__, + repr(self.name), + repr(self.global_value), + repr(self.units), + repr( + self.note if not isinstance(self.note, ENcomment) else asdict(self.note) + ), + ) def __eq__(self, other): - return isinstance(other, self.__class__) and self.name == other.name and self.global_value == other.global_value and self.units == other.units + return ( + isinstance(other, self.__class__) + and self.name == other.name + and self.global_value == other.global_value + and self.units == other.units + ) def get_value(self) -> float: """Get the value of the coefficient @@ -337,36 +364,32 @@ def to_dict(self): rep["note"] = None return rep - -class Constant(Coefficient): - """A constant coefficient for reaction expressions. - - .. rubric:: Constructor - - The preferred way to create a new constant coefficient is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_constant_coeff()`, - :meth:`~MultispeciesQualityModel.add_coefficient()`, or - :meth:`~MultispeciesQualityModel.add_variable()`. - """ - @property def var_type(self): - return VariableType.CONST + return QualityVarType.CONST -class Parameter(Coefficient): +class Parameter(AbstractVariable): """A variable parameter for reaction expressions. .. rubric:: Constructor The preferred way to create a new parameterized coefficient is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_parameterized_coeff()`, + functions from the :class:`MultispeciesQualityModel`: + :meth:`~MultispeciesQualityModel.add_parameter()`, :meth:`~MultispeciesQualityModel.add_coefficient()`, or :meth:`~MultispeciesQualityModel.add_variable()`. """ + name: str = None + """The name (symbol) for the variable, must be a valid MSX name""" + units: str = None + """The units used for this variable""" + global_value: float = None + """The global value for the coefficient""" + note: Union[str, Dict[str, str]] = None + """A note to go with this varibale""" + def __init__( self, name: str, @@ -399,14 +422,29 @@ def __init__( _qm : MultispeciesQualityModel the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None """ - super().__init__(name, global_value=global_value, note=note, units=units, _qm=_qm) + if name in RESERVED_NAMES: + raise ValueError("Name cannot be a reserved name") + self.name = name + """The name of the variable""" + self.global_value = float(global_value) + """The global value for the coefficient""" + self.note = note + """A note about this species, by default None""" + self.units = units + """The units used for this species""" + self._variable_registry = _qm self._pipe_values = pipe_values if pipe_values is not None else dict() """A dictionary of parameter values for various pipes""" self._tank_values = tank_values if tank_values is not None else dict() """A dictionary of parameter values for various tanks""" def __eq__(self, other): - basic = isinstance(other, self.__class__) and self.name == other.name and self.global_value == other.global_value and self.units == other.units + basic = ( + isinstance(other, self.__class__) + and self.name == other.name + and self.global_value == other.global_value + and self.units == other.units + ) if not basic: return False for k, v in self._pipe_values: @@ -417,9 +455,20 @@ def __eq__(self, other): return False return True + def __repr__(self): + return "{}(name={}, global_value={}, units={}, note={})".format( + self.__class__.__name__, + repr(self.name), + repr(self.global_value), + repr(self.units), + repr( + self.note if not isinstance(self.note, ENcomment) else asdict(self.note) + ), + ) + @property def var_type(self): - return VariableType.PARAM + return QualityVarType.PARAM def get_value(self, pipe: str = None, tank: str = None) -> float: """Get the value of the parameter, either globally or for a specific pipe or tank. @@ -443,7 +492,9 @@ def get_value(self, pipe: str = None, tank: str = None) -> float: if both pipe and tank are specified """ if pipe is not None and tank is not None: - raise TypeError("Cannot get a value for a pipe and tank at the same time - one or both must be None") + raise TypeError( + "Cannot get a value for a pipe and tank at the same time - one or both must be None" + ) if pipe is not None: return self._pipe_values.get(pipe, self.global_value) if tank is not None: @@ -461,13 +512,18 @@ def tank_values(self) -> Dict[str, float]: return self._tank_values def to_dict(self): - rep = super().to_dict() + rep = dict(name=self.name, global_value=self.global_value, units=self.units) + if isinstance(self.note, str): + rep["note"] = self.note + elif isinstance(self.note, ENcomment): + rep["note"] = asdict(self.note) if self.note.pre else self.note.post + else: + rep["note"] = None rep["pipe_values"] = self._pipe_values.copy() rep["tank_values"] = self._tank_values.copy() return rep -@dataclass(repr=False) class OtherTerm(AbstractVariable): """An expression term defined as a function of species, coefficients, or other terms. @@ -520,14 +576,25 @@ def __init__( self._variable_registry = _qm def __repr__(self): - return "{}(name={}, expression={}, note={})".format(self.__class__.__name__, repr(self.name), repr(self.expression), repr(self.note)) + return "{}(name={}, expression={}, note={})".format( + self.__class__.__name__, + repr(self.name), + repr(self.expression), + repr( + self.note if not isinstance(self.note, ENcomment) else asdict(self.note) + ), + ) def __eq__(self, other): - return isinstance(other, self.__class__) and self.name == other.name and self.expression == other.expression + return ( + isinstance(other, self.__class__) + and self.name == other.name + and self.expression == other.expression + ) @property def var_type(self): - return VariableType.TERM + return QualityVarType.TERM def to_symbolic(self): return super().to_symbolic() @@ -543,13 +610,12 @@ def to_dict(self): return rep -@dataclass(repr=False) class InternalVariable(AbstractVariable): """A hydraulic variable or a placeholder for a built-in reserved word. For example, "Len" is the EPANET-MSX name for the length of a pipe, and "I" is a sympy reserved symbol for the imaginary number. - + .. rubric:: Constructor Objects of this type are instantiated when creating a new :class:`MultispeciesQualityModel`, @@ -587,17 +653,23 @@ def __init__( """The units used for this species""" def __repr__(self): - return "{}(name={}, note={}, units={})".format(self.__class__.__name__, repr(self.name), repr(self.note), repr(self.units)) + return "{}(name={}, units={}, note={})".format( + self.__class__.__name__, + repr(self.name), + repr(self.units), + repr( + self.note if not isinstance(self.note, ENcomment) else asdict(self.note) + ), + ) def __eq__(self, other): return isinstance(other, self.__class__) and self.name == other.name @property def var_type(self): - return VariableType.EXTERNAL + return QualityVarType.RESERVED -@dataclass(repr=False) class RateDynamics(AbstractReaction): r"""A rate-of-change reaction dynamics expression. @@ -611,20 +683,28 @@ class RateDynamics(AbstractReaction): .. rubric:: Constructor The preferred way to create a new rate reaction expression is to use one of the following - functions from the :class:`MultispeciesQualityModel`: + functions from the :class:`MultispeciesQualityModel`: :meth:`~MultispeciesQualityModel.add_pipe_reaction()`, :meth:`~MultispeciesQualityModel.add_tank_reaction()`, or :meth:`~MultispeciesQualityModel.add_reaction()`. """ - def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): + def __init__( + self, + species: str, + dynamics: DynamicsType, + expression: str, + note: Union[str, Dict[str, str]] = None, + *, + _qm: AbstractQualityModel = None, + ): """ Parameters ---------- species : str the name of the species whose reaction dynamics is being described - location : RxnLocationType or str - the location the reaction occurs (pipes or tanks) + dynamics : DynamicsType | str | int + the type of dynamics that the expression describes expression : str the expression for the reaction dynamics, which should equal to zero note : str, optional @@ -637,8 +717,8 @@ def __init__(self, species: str, location: LocationType, expression: str, note: """ self.species = species """Name of the species being described""" - self.location = location - """Location this reaction occurs""" + self.dynamics = DynamicsType.get(dynamics) + """Type of reaction dynamics described by the expression""" self.expression = expression """The expression""" self.note = note @@ -646,17 +726,26 @@ def __init__(self, species: str, location: LocationType, expression: str, note: self._variable_registry = _qm def __eq__(self, other): - return isinstance(other, self.__class__) and self.name == other.name and self.location == other.location and self.expression == other.expression + return ( + isinstance(other, self.__class__) + and self.species == other.species + and self.dynamics == other.dynamics + and self.expression == other.expression + ) @property - def expr_type(self) -> DynamicsType: + def dynamics(self) -> DynamicsType: return DynamicsType.RATE def to_symbolic(self): return super().to_symbolic() def to_dict(self) -> dict: - rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) + rep = dict( + species=self.species, + dynamics=self.dynamics.name.lower(), + expression=self.expression, + ) if isinstance(self.note, str): rep["note"] = self.note elif isinstance(self.note, ENcomment): @@ -666,7 +755,6 @@ def to_dict(self) -> dict: return rep -@dataclass(repr=False) class EquilibriumDynamics(AbstractReaction): """An equilibrium reaction expression. @@ -679,13 +767,21 @@ class EquilibriumDynamics(AbstractReaction): .. rubric:: Constructor The preferred way to create a new rate reaction expression is to use one of the following - functions from the :class:`MultispeciesQualityModel`: + functions from the :class:`MultispeciesQualityModel`: :meth:`~MultispeciesQualityModel.add_pipe_reaction()`, :meth:`~MultispeciesQualityModel.add_tank_reaction()`, or :meth:`~MultispeciesQualityModel.add_reaction()`. """ - def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): + def __init__( + self, + species: str, + location: LocationType, + expression: str, + note: Union[str, Dict[str, str]] = None, + *, + _qm: AbstractQualityModel = None, + ): """ Parameters ---------- @@ -714,17 +810,26 @@ def __init__(self, species: str, location: LocationType, expression: str, note: self._variable_registry = _qm def __eq__(self, other): - return isinstance(other, self.__class__) and self.name == other.name and self.location == other.location and self.expression == other.expression + return ( + isinstance(other, self.__class__) + and self.name == other.name + and self.location == other.location + and self.expression == other.expression + ) @property - def expr_type(self) -> DynamicsType: + def dynamics(self) -> DynamicsType: return DynamicsType.EQUIL def to_symbolic(self): return super().to_symbolic() def to_dict(self) -> dict: - rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) + rep = dict( + species=self.species, + dynamics=self.dynamics.name.lower(), + expression=self.expression, + ) if isinstance(self.note, str): rep["note"] = self.note elif isinstance(self.note, ENcomment): @@ -734,7 +839,6 @@ def to_dict(self) -> dict: return rep -@dataclass(repr=False) class FormulaDynamics(AbstractReaction): """A formula-based reaction dynamics expression. @@ -747,13 +851,21 @@ class FormulaDynamics(AbstractReaction): .. rubric:: Constructor The preferred way to create a new rate reaction expression is to use one of the following - functions from the :class:`MultispeciesQualityModel`: + functions from the :class:`MultispeciesQualityModel`: :meth:`~MultispeciesQualityModel.add_pipe_reaction()`, :meth:`~MultispeciesQualityModel.add_tank_reaction()`, or :meth:`~MultispeciesQualityModel.add_reaction()`. """ - def __init__(self, species: str, location: LocationType, expression: str, note: Union[str, Dict[str, str]] = None, *, _qm: AbstractQualityModel = None): + def __init__( + self, + species: str, + location: LocationType, + expression: str, + note: Union[str, Dict[str, str]] = None, + *, + _qm: AbstractQualityModel = None, + ): """ Parameters ---------- @@ -782,17 +894,26 @@ def __init__(self, species: str, location: LocationType, expression: str, note: self._variable_registry = _qm def __eq__(self, other): - return isinstance(other, self.__class__) and self.name == other.name and self.location == other.location and self.expression == other.expression + return ( + isinstance(other, self.__class__) + and self.name == other.name + and self.location == other.location + and self.expression == other.expression + ) @property - def expr_type(self) -> DynamicsType: + def dynamics(self) -> DynamicsType: return DynamicsType.FORMULA def to_symbolic(self): return super().to_symbolic() def to_dict(self) -> dict: - rep = dict(species=self.species, expr_type=self.expr_type.name.lower(), expression=self.expression) + rep = dict( + species=self.species, + dynamics=self.dynamics.name.lower(), + expression=self.expression, + ) if isinstance(self.note, str): rep["note"] = self.note elif isinstance(self.note, ENcomment): @@ -803,8 +924,7 @@ def to_dict(self) -> dict: class MultispeciesQualityModel(AbstractQualityModel): - """A multispecies water quality reactions model, for use with EPANET-MSX. - """ + """A multispecies water quality reactions model, for use with EPANET-MSX.""" def __init__(self, msx_file_name=None): """Create a new multispecies water quality reaction model. @@ -820,13 +940,16 @@ def __init__(self, msx_file_name=None): self.title: str = None """The title line from the MSX file""" + self.desc: str = None + """A longer description, to/from comments in top of MSX file""" + self._msxfile: str = msx_file_name """The original filename""" - self._citations: List[Union[Citation, str]] = list() - """A list of citations for the sources of this model's dynamics""" + self._references: List[Union[dict, str]] = list() + """A list of references for the sources of this model's dynamics""" - self._options: MultispeciesOptions() + self._options: MultispeciesOptions = MultispeciesOptions() """A link to the options object""" self._wn: WaterNetworkModel = None @@ -834,12 +957,12 @@ def __init__(self, msx_file_name=None): self._variables: DisjointMapping = DisjointMapping() self._species = self._variables.add_disjoint_group("species") - self._coeffs = self._variables.add_disjoint_group("coeffs") - self._terms = self._variables.add_disjoint_group("funcs") + self._constants = self._variables.add_disjoint_group("constants") + self._params = self._variables.add_disjoint_group("parameters") + self._terms = self._variables.add_disjoint_group("terms") - self._dynamics: DisjointMapping = DisjointMapping() - self._pipe_dynamics = self._dynamics.add_disjoint_group("pipe") - self._tank_dynamics = self._dynamics.add_disjoint_group("tank") + self._pipe_rxns = dict() + self._tank_rxns = dict() self._usage: Dict[str, Set[str]] = dict() # FIXME: currently no usage tracking @@ -854,14 +977,18 @@ def __init__(self, msx_file_name=None): for name in EXPR_FUNCTIONS.keys(): self._variables[name.lower()] = InternalVariable(name, note="MSX function") self._variables[name.upper()] = InternalVariable(name, note="MSX function") - self._variables[name.capitalize()] = InternalVariable(name, note="MSX function") + self._variables[name.capitalize()] = InternalVariable( + name, note="MSX function" + ) if msx_file_name is not None: from wntr.epanet.msx.io import MsxFile inp = MsxFile() inp.read(msx_file_name, self) - def _is_variable_registered(self, var_or_name: Union[str, AbstractVariable]) -> bool: + def _is_variable_registered( + self, var_or_name: Union[str, AbstractVariable] + ) -> bool: name = str(var_or_name) if name in self._variables.keys(): return True @@ -886,7 +1013,9 @@ def variable_dict(self) -> Dict[str, Any]: vars = dict() for symb, spec in self._species.items(): vars[symb] = symbols(symb) - for symb, coeff in self._coeffs.items(): + for symb, coeff in self._constants.items(): + vars[symb] = symbols(symb) + for symb, coeff in self._params.items(): vars[symb] = symbols(symb) for symb, term in self._terms.items(): vars[symb] = symbols(symb) @@ -903,21 +1032,26 @@ def species_name_list(self) -> List[str]: return list(self._species.keys()) @property - def coefficient_name_list(self) -> List[str]: + def constant_name_list(self) -> List[str]: + """all defined coefficient names""" + return list(self._constants.keys()) + + @property + def parameter_name_list(self) -> List[str]: """all defined coefficient names""" - return list(self._coeffs.keys()) + return list(self._params.keys()) @property def other_term_name_list(self) -> List[str]: """all defined function (MSX 'terms') names""" return list(self._terms.keys()) - def variables(self, var_type: VariableType = None): + def variables(self, var_type: QualityVarType = None): """A generator to loop over the variables. Parameters ---------- - var_type : RxnVariableType, optional + var_type : QualityVarType, optional limit results to a specific type, by default None Yields @@ -925,18 +1059,23 @@ def variables(self, var_type: VariableType = None): RxnVariable a variable defined within the model """ - var_type = VariableType.get(var_type) + var_type = QualityVarType.get(var_type) for v in self._variables.values(): if var_type is not None and v.var_type != var_type: continue yield v - def add_variable(self, var_or_type: Union[AbstractVariable, VariableType], name: str = None, **kwargs): + def add_variable( + self, + var_or_type: Union[AbstractVariable, QualityVarType], + name: str = None, + **kwargs, + ): """Add an new variable to the model, or add an existing, unlinked variable object to the model. Parameters ---------- - var_or_type : RxnVariable | RxnVariableType + var_or_type : RxnVariable | QualityVarType the variable object to add to the model, or the type if creating a new variable object name : str or None the name of a new variable, must be None if adding an existing object, by default None @@ -954,44 +1093,58 @@ def add_variable(self, var_or_type: Union[AbstractVariable, VariableType], name: """ if not isinstance(var_or_type, (AbstractVariable,)): try: - var_or_type = VariableType.get(var_or_type) + var_or_type = QualityVarType.get(var_or_type) except Exception as e: - raise TypeError("Cannot add an object that is not a RxnVariable subclass or create a new object without a valid var_type") from e + raise TypeError( + "Cannot add an object that is not a RxnVariable subclass or create a new object without a valid var_type" + ) from e if name is None: raise ValueError("When adding a new variable, a name must be supplied") typ = var_or_type - if typ is VariableType.BULK or typ is VariableType.WALL: - self.add_species(var_or_type, name, **kwargs) - elif typ is VariableType.CONST or typ is VariableType.PARAM: - self.add_coefficient(var_or_type, name, **kwargs) - elif typ is VariableType.TERM: + if typ is QualityVarType.SPECIES: + self.add_species(name, **kwargs) + elif typ is QualityVarType.CONST: + self.add_constant(name, **kwargs) + elif typ is QualityVarType.PARAM: + self.add_parameter(name, **kwargs) + elif typ is QualityVarType.TERM: self.add_other_term(var_or_type, name, **kwargs) else: - raise TypeError("Cannot create new objects of the INTERNAL type using this function") + raise TypeError( + "Cannot create new objects of the EXTERNAL type using this function" + ) else: if name is None or len(kwargs) > 0: - raise ValueError("When adding an existing variable object, no other arguments may be supplied") + raise ValueError( + "When adding an existing variable object, no other arguments may be supplied" + ) __variable = var_or_type if self._is_variable_registered(__variable): - raise KeyExistsError("A variable with this name already exists in the model") + raise KeyExistsError( + "A variable with this name already exists in the model" + ) typ = __variable.var_type name = __variable.name if hasattr(__variable, "_variable_registry"): __variable._variable_registry = self - if typ is VariableType.BULK or typ is VariableType.WALL: + if typ is QualityVarType.SPECIES: self._variables.add_item_to_group("species", name, __variable) - self._inital_qual_dict[name] = dict(global_value=None, nodes=dict(), links=dict()) + self._inital_qual_dict[name] = dict( + global_value=None, nodes=dict(), links=dict() + ) self._source_dict[name] = dict() - elif typ is VariableType.CONST or typ is VariableType.PARAM: - self._variables.add_item_to_group("coeffs", name, __variable) - elif typ is VariableType.TERM: - self._variables.add_item_to_group("funcs", name, __variable) + elif typ is QualityVarType.CONST: + self._variables.add_item_to_group("constants", name, __variable) + elif typ is QualityVarType.PARAM: + self._variables.add_item_to_group("parameters", name, __variable) + elif typ is QualityVarType.TERM: + self._variables.add_item_to_group("terms", name, __variable) else: self._variables.add_item_to_group(None, name, __variable) def add_species( self, - species_type: Union[str, int, VariableType], + species_type: Union[str, int, SpeciesType], name: str, units: str, atol: float = None, @@ -1003,7 +1156,7 @@ def add_species( Parameters ---------- - species_type : ~VariableType.BULK | ~VariableType.WALL + species_type : BULK | WALL the type of species name : str the name/symbol of the species @@ -1030,23 +1183,43 @@ def add_species( TypeError if atol and rtol are not both None or both a float """ - species_type = VariableType.get(species_type) - if species_type not in [VariableType.BULK, VariableType.WALL]: - raise ValueError("Species must be BULK or WALL, got {:s}".format(species_type)) + species_type = SpeciesType.get(species_type) + if species_type not in [SpeciesType.BULK, SpeciesType.WALL]: + raise ValueError( + "Species must be BULK or WALL, got {:s}".format(species_type) + ) if self._is_variable_registered(name): - raise KeyExistsError("The variable {} already exists in this model".format(name)) + raise KeyExistsError( + "The variable {} already exists in this model".format(name) + ) if (atol is None) ^ (rtol is None): - raise TypeError("atol and rtol must be the same type, got {} and {}".format(atol, rtol)) - if species_type is VariableType.BULK: - var = BulkSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, _qm=self) - elif species_type is VariableType.WALL: - var = WallSpecies(name=name, units=units, atol=atol, rtol=rtol, note=note, _qm=self) + raise TypeError( + "atol and rtol must be the same type, got {} and {}".format(atol, rtol) + ) + var = Species( + species_type=species_type, + name=name, + units=units, + atol=atol, + rtol=rtol, + note=note, + _qm=self, + ) self._species[name] = var - self._inital_qual_dict[name] = dict([("global", None), ("nodes", dict()), ("links", dict())]) + self._inital_qual_dict[name] = dict( + [("global", None), ("nodes", dict()), ("links", dict())] + ) self._source_dict[name] = dict() return var - def add_bulk_species(self, name: str, units: str, atol: float = None, rtol: float = None, note: str = None) -> BulkSpecies: + def add_bulk_species( + self, + name: str, + units: str, + atol: float = None, + rtol: float = None, + note: str = None, + ) -> Species: """Add a new bulk species to the model. The atol and rtol parameters must either both be omitted or both be provided. @@ -1075,9 +1248,16 @@ def add_bulk_species(self, name: str, units: str, atol: float = None, rtol: floa TypeError if atol and rtol are not both None or both a float """ - return self.add_species(VariableType.BULK, name, units, atol, rtol, note) + return self.add_species(SpeciesType.BULK, name, units, atol, rtol, note) - def add_wall_species(self, name: str, units: str, atol: float = None, rtol: float = None, note: str = None) -> WallSpecies: + def add_wall_species( + self, + name: str, + units: str, + atol: float = None, + rtol: float = None, + note: str = None, + ) -> Species: """Add a new wall species to the model. The atol and rtol parameters must either both be omitted or both be provided. @@ -1106,9 +1286,17 @@ def add_wall_species(self, name: str, units: str, atol: float = None, rtol: floa TypeError if atol and rtol are not both None or both a float """ - return self.add_species(VariableType.WALL, name, units, atol, rtol, note) + return self.add_species(SpeciesType.WALL, name, units, atol, rtol, note) - def add_coefficient(self, coeff_type: Union[str, int, VariableType], name: str, global_value: float, note: str = None, units: str = None, **kwargs) -> Coefficient: + def add_coefficient( + self, + coeff_type: Union[str, int, QualityVarType], + name: str, + global_value: float, + note: str = None, + units: str = None, + **kwargs, + ) -> Union[Constant, Parameter]: """Add a new coefficient to the model. Parameters @@ -1139,19 +1327,27 @@ def add_coefficient(self, coeff_type: Union[str, int, VariableType], name: str, VariableNameExistsError if a variable with this name already exists in the model """ - coeff_type = VariableType.get(coeff_type) - if coeff_type not in [VariableType.CONST, VariableType.PARAM]: - raise ValueError("coeff_type must be CONST or PARAM, got {:s}".format(coeff_type)) + coeff_type = QualityVarType.get(coeff_type) + if coeff_type not in [QualityVarType.CONST, QualityVarType.PARAM]: + raise ValueError( + "coeff_type must be CONST or PARAM, got {:s}".format(coeff_type) + ) if self._is_variable_registered(name): - raise KeyExistsError("The variable {} already exists in this model".format(name)) - if coeff_type is VariableType.CONST: - var = Constant(name=name, global_value=global_value, note=note, units=units, _qm=self) - elif coeff_type is VariableType.PARAM: - var = Parameter(name=name, global_value=global_value, note=note, units=units, _qm=self, **kwargs) - self._coeffs[name] = var - return var + raise KeyExistsError( + "The variable {} already exists in this model".format(name) + ) + if coeff_type is QualityVarType.CONST: + return self.add_constant( + name=name, global_value=global_value, note=note, units=units + ) + else: + return self.add_parameter( + name=name, global_value=global_value, note=note, units=units, **kwargs + ) - def add_constant_coeff(self, name: str, global_value: float, note: str = None, units: str = None) -> Constant: + def add_constant( + self, name: str, global_value: float, note: str = None, units: str = None + ) -> Constant: """Add a new constant coefficient to the model. Parameters @@ -1179,10 +1375,24 @@ def add_constant_coeff(self, name: str, global_value: float, note: str = None, u VariableNameExistsError if a variable with this name already exists in the model """ - return self.add_coefficient(VariableType.CONST, name=name, global_value=global_value, note=note, units=units) + if self._is_variable_registered(name): + raise KeyExistsError( + "The variable {} already exists in this model".format(name) + ) + var = Constant( + name=name, global_value=global_value, note=note, units=units, _qm=self + ) + self._constants[name] = var + return var - def add_parameterized_coeff( - self, name: str, global_value: float, note: str = None, units: str = None, pipe_values: Dict[str, float] = None, tank_values: Dict[str, float] = None + def add_parameter( + self, + name: str, + global_value: float, + note: str = None, + units: str = None, + pipe_values: Dict[str, float] = None, + tank_values: Dict[str, float] = None, ) -> Parameter: """Add a new parameterized coefficient (based on pipe/tank name) to the model. @@ -1215,7 +1425,21 @@ def add_parameterized_coeff( VariableNameExistsError if a variable with this name already exists in the model """ - return self.add_coefficient(VariableType.PARAM, name=name, global_value=global_value, note=note, units=units, pipe_values=pipe_values, tank_values=tank_values) + if self._is_variable_registered(name): + raise KeyExistsError( + "The variable {} already exists in this model".format(name) + ) + var = Parameter( + name=name, + global_value=global_value, + note=note, + units=units, + pipe_values=pipe_values, + tank_values=tank_values, + _qm=self, + ) + self._params[name] = var + return var def add_other_term(self, name: str, expression: str, note: str = None) -> OtherTerm: """Add a new user-defined function to the model. @@ -1244,7 +1468,9 @@ def add_other_term(self, name: str, expression: str, note: str = None) -> OtherT if a variable with this name already exists in the model """ if self._is_variable_registered(name): - raise KeyExistsError("The variable {} already exists in this model".format(name)) + raise KeyExistsError( + "The variable {} already exists in this model".format(name) + ) var = OtherTerm(name=name, expression=expression, note=note, _qm=self) self._terms[name] = var return var @@ -1297,12 +1523,21 @@ def reactions(self, location: LocationType = None): a reaction defined within the model """ location = LocationType.get(location) - for v in self._dynamics.values(): - if location is not None and v.location != location: - continue - yield v - - def add_reaction(self, location: LocationType, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None): + if location is None or location is LocationType.PIPE: + for v in self._pipe_rxns.values(): + yield v + if location is None or location is LocationType.TANK: + for v in self._tank_rxns.values(): + yield v + + def add_reaction( + self, + location: LocationType, + species: Union[str, Species], + dynamics: Union[str, int, DynamicsType], + expression: str, + note: str = None, + ): """Add a multispecies water quality reaction to the model. Parameters @@ -1338,29 +1573,59 @@ def add_reaction(self, location: LocationType, species: Union[str, Species], dyn location = LocationType.get(location) species = str(species) if species not in self._species.keys(): - raise ValueError("The species {} does not exist in the model, failed to add reaction.".format(species)) - _key = AbstractReaction.to_key(species, location) - if _key in self._dynamics.keys(): - raise RuntimeError("The species {} already has a {} reaction defined. Use set_reaction instead.") + raise ValueError( + "The species {} does not exist in the model, failed to add reaction.".format( + species + ) + ) + _key = species # = AbstractReaction.to_key(species, location) + if (location is LocationType.PIPE and _key in self._pipe_rxns.keys()) or ( + location is LocationType.TANK and _key in self._tank_rxns.keys() + ): + raise RuntimeError("The species {} already has a {} reaction defined.") dynamics = DynamicsType.get(dynamics) new = None if dynamics is DynamicsType.EQUIL: - new = EquilibriumDynamics(species=species, location=location, expression=expression, note=note, _qm=self) + new = EquilibriumDynamics( + species=species, + location=location, + expression=expression, + note=note, + _qm=self, + ) elif dynamics is DynamicsType.RATE: - new = RateDynamics(species=species, location=location, expression=expression, note=note, _qm=self) + new = RateDynamics( + species=species, + location=location, + expression=expression, + note=note, + _qm=self, + ) elif dynamics is DynamicsType.FORMULA: - new = FormulaDynamics(species=species, location=location, expression=expression, note=note, _qm=self) + new = FormulaDynamics( + species=species, + location=location, + expression=expression, + note=note, + _qm=self, + ) else: raise ValueError("Invalid dynamics type, {}".format(dynamics)) if location is LocationType.PIPE: - self._pipe_dynamics[str(new)] = new + self._pipe_rxns[str(new)] = new elif location is LocationType.TANK: - self._tank_dynamics[str(new)] = new + self._tank_rxns[str(new)] = new else: raise ValueError("Invalid location type, {}".format(location)) return new - def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None) -> AbstractReaction: + def add_pipe_reaction( + self, + species: Union[str, Species], + dynamics: Union[str, int, DynamicsType], + expression: str, + note: str = None, + ) -> AbstractReaction: """Add a pipe reaction. See also :meth:`add_reaction`. Parameters @@ -1379,9 +1644,21 @@ def add_pipe_reaction(self, species: Union[str, Species], dynamics: Union[str, i ReactionDynamics the reaction object """ - return self.add_reaction(LocationType.PIPE, species=species, dynamics=dynamics, expression=expression, note=note) + return self.add_reaction( + LocationType.PIPE, + species=species, + dynamics=dynamics, + expression=expression, + note=note, + ) - def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, int, DynamicsType], expression: str, note: str = None) -> AbstractReaction: + def add_tank_reaction( + self, + species: Union[str, Species], + dynamics: Union[str, int, DynamicsType], + expression: str, + note: str = None, + ) -> AbstractReaction: """Add a pipe reaction. See also :meth:`add_reaction`. Parameters @@ -1400,9 +1677,19 @@ def add_tank_reaction(self, species: Union[str, Species], dynamics: Union[str, i ReactionDynamics the reaction object """ - return self.add_reaction(LocationType.TANK, species=species, dynamics=dynamics, expression=expression, note=note) + return self.add_reaction( + LocationType.TANK, + species=species, + dynamics=dynamics, + expression=expression, + note=note, + ) - def remove_reaction(self, species: Union[str, Species], location: Union[str, int, LocationType, Literal["all"]]): + def remove_reaction( + self, + species: Union[str, Species], + location: Union[str, int, LocationType, Literal["all"]], + ): """Remove a reaction for a species from the model Parameters @@ -1421,28 +1708,30 @@ def remove_reaction(self, species: Union[str, Species], location: Union[str, int location = LocationType.get(location) species = str(species) if location is None: - raise TypeError('location cannot be None when removing a reaction. Use "all" for all locations.') + raise TypeError( + 'location cannot be None when removing a reaction. Use "all" for all locations.' + ) elif location == "all": name = AbstractReaction.to_key(species, LocationType.PIPE) try: - self._pipe_dynamics.__delitem__(name) + self._pipe_rxns.__delitem__(name) except KeyError: pass name = AbstractReaction.to_key(species, LocationType.TANK) try: - self._tank_dynamics.__delitem__(name) + self._tank_rxns.__delitem__(name) except KeyError: pass elif location is LocationType.PIPE: name = AbstractReaction.to_key(species, LocationType.PIPE) try: - self._pipe_dynamics.__delitem__(name) + self._pipe_rxns.__delitem__(name) except KeyError: pass elif location is LocationType.TANK: name = AbstractReaction.to_key(species, LocationType.TANK) try: - self._tank_dynamics.__delitem__(name) + self._tank_rxns.__delitem__(name) except KeyError: pass else: @@ -1469,24 +1758,20 @@ def get_reaction(self, species, location): raise TypeError("location must be a string, int, or LocationType") species = str(species) location = LocationType.get(location) - loc = location.name.lower() if location == LocationType.PIPE: - return self._pipe_dynamics.get(species + "." + loc) + return self._pipe_rxns.get(species) elif location == LocationType.TANK: - return self._tank_dynamics.get(species + "." + loc) + return self._tank_rxns.get(species) def init_printing(self, *args, **kwargs): """Call sympy.init_printing""" init_printing(*args, **kwargs) @property - def citations(self) -> List[Union[str, Citation]]: - """A list of citation strings or Citation objects. - The Citation object from wntr.utils does not have to be used, but an object of - a different type should have a "to_dict" method to ensure that dictionary and - json conversions work as intended. + def references(self) -> List[Union[str, dict]]: + """A list of citation strings or dict objects. """ - return self._citations + return self._references @property def options(self) -> MultispeciesOptions: @@ -1498,7 +1783,9 @@ def options(self, value): if isinstance(value, dict): self._options = MultispeciesOptions.factory(value) elif not isinstance(value, MultispeciesOptions): - raise TypeError("Expected a MultispeciesOptions object, got {}".format(type(value))) + raise TypeError( + "Expected a MultispeciesOptions object, got {}".format(type(value)) + ) else: self._options = value @@ -1507,7 +1794,7 @@ def link_water_network_model(self, wn: WaterNetworkModel): def to_dict(self) -> dict: """Convert this water quality model to a dictionary""" - wntr.quality.io.to_dict() + return wntr.quality.io.to_dict(self) def from_dict(self, d) -> dict: """Append to this water quality model from a dictionary""" @@ -1515,5 +1802,65 @@ def from_dict(self, d) -> dict: def __repr__(self): if self._msxfile or self.name: - return "{}({})".format(self.__class__.__name__, repr(self._msxfile) if self._msxfile else repr(self.name)) + return "{}({})".format( + self.__class__.__name__, + repr(self._msxfile) if self._msxfile else repr(self.name), + ) return super().__repr__() + + def pycode(self): + lines = list() + lines.append("msx = {}()".format(self.__class__.__qualname__)) + lines.append("msx.title = {}".format(repr(self.title))) + for citation in self.references: + lines.append("msx.references.append({})".format(repr(self.references))) + for v in self._species.values(): + lines.append( + "msx.add_species({})".format( + ", ".join( + ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] + ) + ) + ) + for v in self._constants.values(): + lines.append( + "msx.add_constant({})".format( + ", ".join( + ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] + ) + ) + ) + for v in self._params.values(): + lines.append( + "msx.add_parameter({})".format( + ", ".join( + ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] + ) + ) + ) + for v in self._terms.values(): + lines.append( + "msx.add_other_term({})".format( + ", ".join( + ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] + ) + ) + ) + for v in self._pipe_rxns.values(): + lines.append( + "msx.add_pipe_reaction({})".format( + ", ".join( + ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] + ) + ) + ) + for v in self._tank_rxns.values(): + lines.append( + "msx.add_tank_reaction({})".format( + ", ".join( + ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] + ) + ) + ) + lines.append("msx.options = {}".format(self.options.to_dict())) + return lines From 9902471d253910cad7ec1b8ad3b65e41b6591ed5 Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 24 Oct 2023 19:35:03 -0600 Subject: [PATCH 032/118] Update to package structure --- wntr/quality/__init__.py | 24 +- wntr/quality/base.py | 340 ++--- wntr/quality/io.py | 42 - wntr/quality/library.py | 568 ++++++-- wntr/quality/multispecies.py | 2607 ++++++++++++++-------------------- wntr/quality/options.py | 4 +- 6 files changed, 1653 insertions(+), 1932 deletions(-) delete mode 100644 wntr/quality/io.py diff --git a/wntr/quality/__init__.py b/wntr/quality/__init__.py index 52691d7c7..e625cb7ae 100644 --- a/wntr/quality/__init__.py +++ b/wntr/quality/__init__.py @@ -6,25 +6,7 @@ # sympy from ..epanet.msx.exceptions import EpanetMsxException -from .base import ( - DynamicsType, - LocationType, - AbstractReaction, - AbstractVariable, - VariableType, -) -from .multispecies import FormulaDynamics -from .multispecies import ( - BulkSpecies, - Coefficient, - Constant, - EquilibriumDynamics, - InternalVariable, - MultispeciesQualityModel, - OtherTerm, - Parameter, - RateDynamics, - Species, - WallSpecies, -) +from .base import * +from .multispecies import * from .options import MultispeciesOptions +from . import library diff --git a/wntr/quality/base.py b/wntr/quality/base.py index 1912aab46..43e67e955 100644 --- a/wntr/quality/base.py +++ b/wntr/quality/base.py @@ -5,22 +5,16 @@ and/or mixin classes, and should not be instantiated directly. """ -import abc -import enum -import logging from abc import ABC, abstractmethod, abstractproperty -from collections.abc import MutableMapping -from enum import Enum, IntFlag, IntEnum -from typing import Any, ClassVar, Dict, Generator, List, Union +import logging +from enum import Enum, IntEnum +from typing import Any, Dict +from wntr.epanet.util import ENcomment +from wntr.quality.multispecies import Species +from wntr.utils.disjoint_mapping import KeyExistsError, VariablesRegistry -import numpy as np -from wntr.network.base import AbstractModel -from wntr.network.model import WaterNetworkModel -from wntr.network.elements import Pattern -from wntr.quality.options import MultispeciesOptions from wntr.utils.enumtools import add_get -from wntr.utils.ordered_set import OrderedSet has_sympy = False try: @@ -218,9 +212,9 @@ def _coth(x): return 1 / tanh(x) RESERVED_NAMES = ( tuple([v["name"] for v in HYDRAULIC_VARIABLES]) - + tuple([k for k, v in EXPR_FUNCTIONS.items()]) - + tuple([k.upper() for k, v in EXPR_FUNCTIONS.items()]) - + tuple([k.capitalize() for k, v in EXPR_FUNCTIONS.items()]) + + tuple([k.lower() for k in EXPR_FUNCTIONS.keys()]) + + tuple([k.upper() for k in EXPR_FUNCTIONS.keys()]) + + tuple([k.capitalize() for k in EXPR_FUNCTIONS.keys()]) + ("Mul", "Add", "Pow", "Integer", "Float") ) """The WNTR reserved names. This includes the MSX hydraulic variables @@ -232,7 +226,6 @@ def _coth(x): return 1 / tanh(x) _global_dict = dict() for k, v in EXPR_FUNCTIONS.items(): - _global_dict[k] = v _global_dict[k.lower()] = v _global_dict[k.capitalize()] = v _global_dict[k.upper()] = v @@ -414,264 +407,131 @@ class DynamicsType(Enum): R = RATE F = FORMULA +__all__ = [ + 'HYDRAULIC_VARIABLES', + 'EXPR_FUNCTIONS', + 'RESERVED_NAMES', + 'EXPR_TRANSFORMS', + 'QualityVarType', + 'SpeciesType', + 'LocationType', + 'DynamicsType', + 'WaterQualityVariable', + 'WaterQualityReaction', +] -class AbstractVariable(ABC): - """The base for a reaction variable. - - Attributes - ---------- - name : str - The name (symbol) for the variable, must be a valid MSX name - """ - def __str__(self) -> str: - """Returns the name of the variable""" - return self.name +class WaterQualityReaction(ABC): + def __init__(self, dynamics_type: DynamicsType, *, note=None) -> None: + """A water quality reaction definition. - def __hash__(self) -> int: - return hash(str(self)) + This abstract class must be subclassed. - __variable_registry = None + Arguments + --------- + dynamics_type : DynamicsType + The type of reaction dynamics being described by the expression: one of RATE, FORMULA, or EQUIL. - @property - def _variable_registry(self) -> "AbstractQualityModel": - return self.__variable_registry - @_variable_registry.setter - def _variable_registry(self, value): - if value is not None and not isinstance(value, AbstractQualityModel): - raise TypeError( - "Linked model must be a RxnModelRegistry, got {}".format(type(value)) - ) - self.__variable_registry = value + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this reaction, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - def validate(self): - """Validate that this object is a member of the RxnModelRegistry Raises ------ TypeError - if the model registry isn't linked + if dynamics_type is invalid """ - if not isinstance(self._variable_registry, AbstractQualityModel): - raise TypeError("This object is not connected to any RxnModelRegistry") - - @abstractproperty - def var_type(self) -> QualityVarType: - """The variable type.""" - raise NotImplementedError - - def is_species(self) -> bool: - """Check to see if this variable represents a species (bulk or wall). + dynamics_type = DynamicsType.get(dynamics_type) + if dynamics_type is None: + raise TypeError("dynamics cannot be None") + self._dynamics_type = dynamics_type + self.note = note - Returns - ------- - bool - True if this is a species object, False otherwise + def dynamics_type(self) -> DynamicsType: + """The type of dynamics being described. + See :class:`DynamicsType` for valid values. """ - return self.var_type == QualityVarType.SPECIES + raise NotImplementedError - def is_coeff(self) -> bool: - """Check to see if this variable represents a coefficient (constant or parameter). + def __str__(self) -> str: + """Return a string representation of the reaction""" + return "{}({}) = ".format(self.__class__.__name__, self._dynamics_type.name) - Returns - ------- - bool - True if this is a coefficient object, False otherwise - """ + def __repr__(self) -> str: return ( - self.var_type == QualityVarType.CONST - or self.var_type == QualityVarType.PARAM + "{}(".format(self.__class__.__name__) + + ", ".join(["{}={}".format(k, repr(v)) for k, v in self.to_dict().items()]) + + ")" ) - def is_other_term(self) -> bool: - """Check to see if this variable represents a function (MSX term). - - Returns - ------- - bool - True if this is a term/function object, False otherwise - """ - return self.var_type == QualityVarType.TERM - - @property - def symbol(self): - """Representation of the variable's name as a sympy.Symbol""" - return Symbol(self.name) + @abstractmethod + def to_dict(self) -> dict: + raise NotImplementedError - def to_symbolic(self, transformations=EXPR_TRANSFORMS): - """Convert to a symbolic expression. - Parameters - ---------- - transformations : tuple of sympy transformations - transformations to apply to the expression, by default EXPR_TRANSFORMS +class WaterQualityVariable(ABC): + """A multi-species water quality model variable. - Returns - ------- - sympy.Expr - the expression parsed by sympy - """ - return self.symbol - - -class AbstractReaction(ABC): - """The base for a reaction. - - Attributes - ---------- - species : str - the name of the species whose reaction dynamics is being described - location : LocationType | str - the location the reaction occurs (pipes or tanks) - dynamics : DynamicsType | str - the type of reaction dynamics (left-hand-side) - expression : str - the expression for the reaction dynamics (right-hand-side) + This abstract class must be extended before use. There are several concrete classes + that inhert from this class, including + :class:`~wntr.quality.msx.Species`, + :class:`~wntr.quality.msx.Constant`, + :class:`~wntr.quality.msx.Parameter`, + and :class:`~wntr.quality.msx.Term`. + See also the :class:`~wntr.quality.msx.MultispeciesModel`, which has the functions + required to create these variables and define reactions. """ - def __str__(self) -> str: - """Name of the species""" - return self.species # self.to_key(self.species, self.location) - - def __hash__(self) -> int: - """Makes the reaction hashable by hashing the `str` representation""" - return hash(self.to_key(self.species, self.location)) + def __init__(self, name: str, *, note=None, _vars=None) -> None: + """Multi-species variable constructor arguments. - def __repr__(self) -> str: - return "{}(species={}, location={}, expression={}, note={})".format( - self.__class__.__name__, - repr(self.species), - repr( - self.location.name - if isinstance(self.location, LocationType) - else self.location - ), - repr(self.expression), - repr(self.note.to_dict() if hasattr(self.note, "to_dict") else self.note), - ) - - __variable_registry = None - - @property - def _variable_registry(self) -> "AbstractQualityModel": - return self.__variable_registry + Arguments + --------- + name : str + The name/symbol for the variable. Must be a valid MSX variable name. - @_variable_registry.setter - def _variable_registry(self, value): - if value is not None and not isinstance(value, AbstractQualityModel): - raise TypeError( - "Linked model must be a RxnModelRegistry, got {}".format(type(value)) - ) - self.__variable_registry = value - - def validate(self): - """Validate that this object is a member of the RxnModelRegistry + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + As dict it can have two keys, "pre" and "post". See :class:`ENcomment` + for more details. Raises ------ - TypeError - if the model registry isn't linked - """ - if not isinstance(self._variable_registry, AbstractQualityModel): - raise TypeError("This object is not connected to any RxnModelRegistry") + KeyExistsError + the name is already taken + ValueError + the name is a reserved word - @abstractproperty - def dynamics(self) -> DynamicsType: - """The type of reaction dynamics being described (or, the left-hand-side of the equation)""" - raise NotImplementedError - @classmethod - def to_key(cls, species, location): - """Generate a dictionary key (equivalent to the ``str`` casting of a reaction) - without having the object itself. - - Parameters - ---------- - species : str - the species for the reaction - location : RxnLocationType or str - the location of the reaction - - Returns - ------- - str - a species/location unique name - """ - location = LocationType.get(location) - return str(species) + "::" + location.name.lower() + The following should only be used by model building functions, and the + user should never need to pass these arguments. - @abstractmethod - def to_symbolic(self, transformations: tuple = EXPR_TRANSFORMS): - """Convert to a symbolic expression. - - Parameters - ---------- - transformations : tuple of sympy transformations - transformations to apply to the expression, by default :data:`EXPR_TRANSFORMS` - - Returns - ------- - sympy.Expr or sympy.Symbol - the expression parsed by sympy + Other Parameters + ---------------- + _vars : VariablesRegistry, optional + the variables registry object of the model this variable was added to, by default None """ - if not has_sympy: - return self.expression - return parse_expr( - self.expression, - local_dict=self._variable_registry.variable_dict() - if self._variable_registry is not None - else None, - transformations=transformations, - global_dict=_global_dict, - evaluate=False, - ) - - -class AbstractQualityModel(ABC): - """Abstract methods any water quality model should include.""" - - @abstractmethod - def variables(self, var_type=None): - """Generator over all defined variables, optionally limited by variable type""" - raise NotImplementedError - - @abstractmethod - def variable_dict(self) -> Dict[str, Any]: - """Create a dictionary of variable names and their sympy represenations""" - raise NotImplementedError - - @abstractmethod - def add_variable(self, __variable: AbstractVariable): - """Add a variable *object* to the model""" - raise NotImplementedError - - @abstractmethod - def get_variable(self, name: str) -> AbstractVariable: - """Get a specific variable by name""" - raise NotImplementedError - - @abstractmethod - def remove_variable(self, name: str): - """Delete a specified variable from the model""" - raise NotImplementedError - - @abstractmethod - def reactions(self, location=None): - """Generator over all defined reactions, optionally limited by reaction location""" - raise NotImplementedError - - @abstractmethod - def add_reaction(self, __reaction: AbstractReaction): - """Add a reaction *object* to the model""" - raise NotImplementedError + if _vars is not None and name in _vars: + raise KeyExistsError("This variable name is already taken") + elif name in RESERVED_NAMES: + raise ValueError("Name cannot be a reserved name") + self.name: str = name + """The name/ID of this variable, must be a valid EPANET/MSX ID""" + self.note = note + """A note related to this variable""" + self._vars: VariablesRegistry = _vars - @abstractmethod - def get_reaction(self, species, location=None) -> List[AbstractReaction]: - """Get reaction(s) for a species, optionally only for one location""" + @abstractproperty + def var_type(self) -> QualityVarType: + """The type of reaction model variable""" raise NotImplementedError @abstractmethod - def remove_reaction(self, species, location=None): - """Remove reaction(s) for a species, optionally only for one location""" - raise NotImplementedError + def to_dict(self) -> Dict[str, Any]: + """Represent the object as a dictionary""" + raise NotImplementedError \ No newline at end of file diff --git a/wntr/quality/io.py b/wntr/quality/io.py deleted file mode 100644 index a0ad77e76..000000000 --- a/wntr/quality/io.py +++ /dev/null @@ -1,42 +0,0 @@ -# coding: utf-8 -"""Mulispecies reaction model I/O functions. - -""" - -import wntr.epanet.msx -import json - -from wntr.utils.citations import Citation, to_jsontypes - - -def to_dict(msx): - """Convert a multispecies reaction model to a dictionary representation""" - from wntr import __version__ - rep = dict( - version="wntr-{}".format(__version__), - name=msx.name if msx.name else msx._msxfile, - comment=msx.title if msx.title else "WaterQualityModel - units assumed to be internally consistent", - citations=to_jsontypes(msx._citations), - options=msx._options.to_dict(), - variables=dict( - species=[v.to_dict() for v in msx._species.values()], - coefficients=[v.to_dict() for v in msx._coeffs.values()], - other_terms=[v.to_dict() for v in msx._terms.values()], - ), - reactions=dict( - pipes=[v.to_dict() for v in msx._pipe_dynamics.values()], - tanks=[v.to_dict() for v in msx._tank_dynamics.values()], - ), - patterns=msx._patterns.copy(), - initial_quality=msx._initial_quality.copy(), - ) - # rep["sources"] = dict() - # for sp, v in msx._sources: - # if v is not None and len(v) > 0: - # rep["sources"][sp] = dict() - # for node, source in v.items(): - # rep["sources"][sp][node] = source.to_dict() - return rep - -def from_dict(d): - raise NotImplementedError \ No newline at end of file diff --git a/wntr/quality/library.py b/wntr/quality/library.py index df8bae011..db2dea20a 100644 --- a/wntr/quality/library.py +++ b/wntr/quality/library.py @@ -23,18 +23,51 @@ .. important:: - Make sure to provide all appropriate citations to the model in your creation + Make sure to provide all appropriate references to the model in your creation function. + +.. _msx_library_note: + +.. rubric:: Note regarding functions within the library that accept a water network model + +If a water network is provided that does not have an ``msx`` attribute, then a new model will be +created and added to the network. The new model will also be returned as an object. + +If a water network is provided that already has an ``msx`` attribute, then this function will: +first check to see if there are variables that are in conflict with the existing reaction +model. If there are conflicts, an exception will be raised. The :attr:`~MultispeciesOptions.area_units` +and :attr:`~MultispeciesOptions.rate_units` will also be checked for conflicts, and an exception raised +if they differ from the already-existing units. +If there are no conflicts, then the variables and reactions for this model will be added to the +existing model. If there are conflicts, then the user must resolve them and try again. + """ import logging -from wntr.utils.citations import Citation from wntr.quality.multispecies import MultispeciesQualityModel from wntr.network.model import WaterNetworkModel +from .multispecies import MultispeciesQualityModel +from .base import LocationType, SpeciesType, DynamicsType + +PIPE = LocationType.PIPE +TANK = LocationType.TANK +BULK = SpeciesType.BULK +WALL = SpeciesType.WALL +RATE = DynamicsType.RATE +EQUIL = DynamicsType.EQUIL +FORMULA = DynamicsType.FORMULA logger = logging.getLogger(__name__) +__all__ = [ + "cite_msx", + "nicotine", + "nicotine_ri", + "lead_ppm", + "arsenic_chloramine", + "batch_chloramine_decay", +] ########################################## ## @@ -46,6 +79,30 @@ ## unless you mark the string as raw, not interpreted, text. ## + +def cite_msx() -> dict: + """A citation generator for the EPANET-MSX user guide. + + References + ---------- + [SRU23]_ Shang, F. and Rossman, L.A. and Uber, J.G. (2023) "EPANET-MSX 2.0 User Manual". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199. + + """ + return 'Shang, F. and Rossman, L.A. and Uber, J.G. (2023) "EPANET-MSX 2.0 User Manual". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199.' + # return dict( + # entry_type="report", + # key="SRU23", + # fields=dict( + # title="EPANET-MSX 2.0 User Manual", + # year=2023, + # author="Shang, F. and Rossman, L.A. and Uber, J.G.", + # institution="Water Infrastructure Division (CESER), U.S. Environmental Protection Agency", + # location="Cincinnati, OH", + # number="EPA/600/R-22/199", + # ), + # ) + + # FIXME: Need to actually do the checks and adding to the wn @@ -80,14 +137,14 @@ def nicotine(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: .. math:: k_d &= 2.33 \times 10^{-3}~\mathrm{min}^{-1} \\ - K_1 &= 5.92 \times 10^{-2}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Nic)}}^{-1} \\ - K_2 &= 1.83 \times 10^{-1}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Cl)}}^{-1} + k_1 &= 5.92 \times 10^{-2}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Nic)}}^{-1} \\ + k_2 &= 1.83 \times 10^{-1}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Cl)}}^{-1} Other terms .. math:: - RxCl &= k_d \cdot HOCL + K_1 \cdot Nx \cdot HOCL \\ - RxN &= K_2 \cdot Nx \cdot HOCL + RxCl &= k_d \, HOCL + k_1 \, Nx \, HOCL \\ + RxN &= k_2 \, Nx \, HOCL Pipe reactions .. math:: @@ -100,16 +157,8 @@ def nicotine(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: Notes ----- - If a water network is provided that does not have an ``msx`` attribute, then a new model will be - created and added to the network. The new model will also be returned as an object. + Please see `msx_library_note`_ for information on how a model that is passed in should be handled. - If a water network is provided that already has an ``msx`` attribute, then this function will: - first check to see if there are variables that are in conflict with the existing reaction - model. If there are conflicts, an exception will be raised. The :attr:`~MultispeciesOptions.area_units` - and :attr:`~MultispeciesOptions.rate_units` will also be checked for conflicts, and an exception raised - if they differ from the already-existing units. - If there are no conflicts, then the variables and reactions for this model will be added to the - existing model. If there are conflicts, then the user must resolve them and try again. """ msx = MultispeciesQualityModel() msx.name = "nicotine" @@ -117,15 +166,25 @@ def nicotine(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: msx.options.area_units = "m2" msx.options.rate_units = "min" msx.options.timestep = 1 - msx.add_bulk_species("Nx", units="mg", note="Nicotine") - msx.add_bulk_species("HOCL", units="mg", note="Free chlorine") - msx.add_constant_coeff("kd", global_value=2.33e-3, units="min^(-1)", note="decay rate") - msx.add_constant_coeff("K1", global_value=5.92e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") - msx.add_constant_coeff("K2", global_value=1.84e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") - msx.add_other_term("RxCl", expression="kd * HOCL + K1 * Nx * HOCL") - msx.add_other_term("RxN", expression="K2 * Nx * HOCL") - msx.add_pipe_reaction("Nx", "rate", expression="-RxN") - msx.add_pipe_reaction("HOCL", "rate", expression="-RxCl") + msx.add_species("Nx", "bulk", units="mg", note="Nicotine") + msx.add_species(name="HOCL", species_type=BULK, units="mg", note="Free chlorine") + msx.add_constant("kd", value=2.33e-3, units="min^(-1)", note="decay rate") + msx.add_constant( + "K1", + value=5.92e-2, + units="L * min^(-1) * mg^(-1)", + note="decay constant for chlorine as function of mass(Nic)", + ) + msx.add_constant( + "K2", + value=1.84e-1, + units="L * min^(-1) * mg^(-1)", + note="decay constant for nicotine as function of mass(Cl)", + ) + msx.add_term("RxCl", expression="kd * HOCL + K1 * Nx * HOCL") + msx.add_term("RxN", expression="K2 * Nx * HOCL") + msx.add_reaction(species="Nx", location="pipe", dynamics_type="rate", expression="-RxN") + msx.add_reaction("HOCL", PIPE, dynamics_type=RATE, expression="-RxCl") return msx @@ -159,16 +218,16 @@ def nicotine_ri(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: Coefficients .. math:: k_d &= 3.0 \times 10^{-5}~\mathrm{min}^{-1} \\ - K_1 &= 9.75 \times 10^{-2}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Nic)}}^{-1}\\ - K_2 &= 5.73 \times 10^{-1}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Cl)}}^{-1}\\ - K_3 &= 1.34 \times 10^{-2}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Nic_2)}}^{-1}\\ - K_4 &= 2.19 \times 10^{-2}~\mathrm{L}\cdot\mathrm{min}^{-1}\cdot\mathrm{mg}_{\mathrm{(Cl)}}^{-1} + k_1 &= 9.75 \times 10^{-2}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Nic)}}^{-1}\\ + k_2 &= 5.73 \times 10^{-1}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Cl)}}^{-1}\\ + K_3 &= 1.34 \times 10^{-2}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Nic_2)}}^{-1}\\ + K_4 &= 2.19 \times 10^{-2}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Cl)}}^{-1} Other terms .. math:: - RXCL &= k_d \cdot HOCL + K_1 \cdot Nx \cdot HOCL + K_3 \cdot NX2 \cdot HOCL\\ - RXN &= K_2 \cdot Nx \cdot HOCL\\ - RXNX2 &= K_2 \cdot Nx \cdot HOCL - K_4 \cdot NX2 \cdot HOCL + RXCL &= k_d \, HOCL + k_1 \, Nx \, HOCL + K_3 \, NX2 \, HOCL\\ + RXN &= k_2 \, Nx \, HOCL\\ + RXNX2 &= k_2 \, Nx \, HOCL - K_4 \, NX2 \, HOCL Pipe reactions and tank reactions *(defined separately for pipe and tank)* .. math:: @@ -192,34 +251,45 @@ def nicotine_ri(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: msx = MultispeciesQualityModel() msx.name = "nicotine_ri" msx.title = ("Nicotine - Chlorine reaction with reactive intermediate",) + # Set the options msx.options.area_units = "m2" msx.options.rate_units = "min" msx.options.timestep = 1 msx.options.atol = 1.0e-10 msx.options.rtol = 1.0e-10 + # Add species - msx.add_bulk_species("Nx", units="mg", note="Nicotine") - msx.add_bulk_species("HOCL", units="mg", note="Free Chlorine") - msx.add_bulk_species("NX2", units="mg", note="Intermediate Nicotine Reactive") + msx.add_species("Nx", "bulk", units="mg", note="Nicotine") + msx.add_species("HOCL", BULK, units="mg", note="Free Chlorine") + msx.add_species("NX2", "b", units="mg", note="Intermediate Nicotine Reactive") + # Add coefficients - msx.add_constant_coeff("kd", 3.0e-5, note="decay rate", units="1/min") - msx.add_constant_coeff("K1", global_value=9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)") - msx.add_constant_coeff("K2", global_value=5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") - msx.add_constant_coeff("K3", global_value=1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Nic2)") - msx.add_constant_coeff("K4", global_value=2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") + msx.add_constant("kd", 3.0e-5, units="1/min", note="decay constant for chlorine over time") + msx.add_constant( + "K1", 9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)" + ) + msx.add_constant("K2", 5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") + msx.add_constant( + "K3", 1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Nic2)" + ) + msx.add_constant("K4", 2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") + # Add terms (named subexpressions) - msx.add_other_term("RXCL", expression="kd * HOCL + K1 * Nx * HOCL + K3 * NX2 * HOCL") - msx.add_other_term("RXN", expression="K2 * Nx * HOCL") - msx.add_other_term("RXNX2", expression="K2 * Nx * HOCL - K4 * NX2 * HOCL") + msx.add_term("RXCL", "kd * HOCL + K1 * Nx * HOCL + K3 * NX2 * HOCL") + msx.add_term("RXN", "K2 * Nx * HOCL") + msx.add_term("RXNX2", "K2 * Nx * HOCL - K4 * NX2 * HOCL") + # Add pipe reactions, one per species - msx.add_pipe_reaction("Nx", "RATE", expression="-RXN") - msx.add_pipe_reaction("HOCL", "RATE", expression="-RXCL") - msx.add_pipe_reaction("NX2", "RATE", expression="RXNX2") + msx.add_reaction("Nx", "pipe", "RATE", "-RXN") + msx.add_reaction("HOCL", PIPE, RATE, "-RXCL") + msx.add_reaction("NX2", "p", "r", "RXNX2") + # Tank reactions actually aren't necessary since there aren't any wall species - msx.add_tank_reaction("Nx", "RATE", expression="-RXN") - msx.add_tank_reaction("HOCL", "RATE", expression="-RXCL") - msx.add_tank_reaction("NX2", "RATE", expression="RXNX2") + # but it is good form to add them anyway + msx.add_reaction("Nx", "tank", "rate", "-RXN") + msx.add_reaction("HOCL", TANK, RATE, "-RXCL") + msx.add_reaction("NX2", "t", "r", "RXNX2") return msx @@ -233,11 +303,13 @@ def lead_ppm(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: wn : WaterNetworkModel, optional the water network to use to hold the new or updated reaction model, by default None + Returns ------- MultispeciesQualityModel the new or updated reaction/quality model + Model Description ----------------- This model is described in [BWMS20]_, and represents plumbosolvency of lead in lead pipes @@ -249,8 +321,8 @@ def lead_ppm(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: Coefficients .. math:: - M &= 0.117~\mathrm{μg}_{\mathrm{(Pb)}} \cdot \mathrm{m}^{-2} \cdot \mathrm{s}^{-1} \\ - E &= 140.0~\mathrm{μg}_{\mathrm{(Pb)}} \cdot \mathrm{L}^{-1} + M &= 0.117~\mathrm{μg}_{\mathrm{(Pb)}} \, \mathrm{m}^{-2} \, \mathrm{s}^{-1} \\ + E &= 140.0~\mathrm{μg}_{\mathrm{(Pb)}} \, \mathrm{L}^{-1} Parameters [1]_ .. math:: @@ -258,12 +330,13 @@ def lead_ppm(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: Pipe reactions [2]_ .. math:: - \frac{d}{dt}PB2 = F \cdot Av \cdot M \frac{\left( E - PB2 \right)}{E} + \frac{d}{dt}PB2 = F \, Av \, M \frac{\left( E - PB2 \right)}{E} Tank reactions .. math:: \frac{d}{dt}PB2 = 0 + References ---------- If this model is used, please cite the following paper(s). @@ -276,16 +349,6 @@ def lead_ppm(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: Notes ----- - If a water network is provided that does not have an ``msx`` attribute, then a new model will be - created and added to the network. The new model will also be returned as an object. - - If a water network is provided that already has an ``msx`` attribute, then this function will: - first check to see if there are variables that are in conflict with the existing reaction - model. If there are conflicts, an exception will be raised. The :attr:`~MultispeciesOptions.area_units` - and :attr:`~MultispeciesOptions.rate_units` will also be checked for conflicts, and an exception raised - if they differ. - If there are no conflicts, then the variables and reactions for this model will be added to the - existing model. If there are conflicts, then the user must resolve them and try again. .. [1] The default value of a parameter is specified by "otherwise" in its mathematical definition. Because @@ -300,35 +363,36 @@ def lead_ppm(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: msx.name = "lead_ppm" msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" msx.desc = "Parameters for EPA HPS Simulator Model" - msx.citations.append( - Citation( - "article", - "BWMS20", - fields=dict( - title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", - year=2020, - author=[ - "Jonathan B. Burkhardt", - "Hyoungmin Woo", - "James Mason", - "Feng Shang", - "Simoni Triantafyllidou", - "Michael R. Schock", - "Darren Lytle", - "Regan Murray", - ], - journaltitle="J Water Resour Plan Manag", - volume=146, - number=12, - date="2020-12-01", - doi="10.1061/(asce)wr.1943-5452.0001304", - eprint=[ - "PMID:33627937", - "PMCID:PMC7898126", - "NIHMSID:NIHMS1664627", - ], - ), - ) + msx.references.append( + """J. B. Burkhardt, et al. (2020) "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". `Journal of water resources planning and management`. 146(12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304""" + # dict( + # entry_type="article", + # key="BWMS20", + # fields=dict( + # title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", + # year=2020, + # author=[ + # "Jonathan B. Burkhardt", + # "Hyoungmin Woo", + # "James Mason", + # "Feng Shang", + # "Simoni Triantafyllidou", + # "Michael R. Schock", + # "Darren Lytle", + # "Regan Murray", + # ], + # journaltitle="J Water Resour Plan Manag", + # volume=146, + # number=12, + # date="2020-12-01", + # doi="10.1061/(asce)wr.1943-5452.0001304", + # eprint=[ + # "PMID:33627937", + # "PMCID:PMC7898126", + # "NIHMSID:NIHMS1664627", + # ], + # ), + # ) ) msx.options = { "report": { @@ -343,10 +407,322 @@ def lead_ppm(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: "rtol": 1e-08, "atol": 1e-08, } - msx.add_bulk_species("PB2", "ug", note="dissolved lead (Pb)") - msx.add_constant_coeff("M", global_value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") - msx.add_constant_coeff("E", global_value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") - msx.add_parameterized_coeff("F", global_value=0, note="determines which pipes have reactions") - msx.add_pipe_reaction("PB2", "RATE", expression="F * Av * M * (E - PB2) / E") - msx.add_tank_reaction("PB2", "RATE", expression="0") + PB2 = msx.add_species(name="PB2", species_type=BULK, units="ug", note="dissolved lead (Pb)") + msx.add_constant("M", 0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") + msx.add_constant("E", 140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") + msx.add_parameter("F", global_value=0, note="determines which pipes have reactions") + PB2.add_reaction("pipes", "RATE", expression="F * Av * M * (E - PB2) / E") + PB2.add_reaction("tanks", RATE, expression="0") + return msx + + +def arsenic_chloramine(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: + r"""Model monochloramine-arsenite-arsenate adsorption/desorption with fast equilibrium. + + Parameters + ---------- + wn : WaterNetworkModel, optional + the water network to use to hold the new or updated reaction model, by default None + + Returns + ------- + MultispeciesQualityModel + the new or updated reaction/quality model + + Model Description + ----------------- + This example models monochloramine oxidation of arsenite/arsenate and wall + adsorption/desorption, as given in section 3 of the EPANET-MSX user manual. + + The system of equations for the reaction in pipes is given in Eq. (2.4) through (2.7) + in [SRU23]_. + + .. math:: + + \frac{d}{dt}{(\mathsf{As}^\mathrm{III})} &= -k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2Cl})} \\ + \frac{d}{dt}{(\mathsf{As}^\mathrm{V})} &= k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2CL})} - Av \left( k_1 \left(S_\max - {(\mathsf{As}^\mathrm{V}_s)} \right) {(\mathsf{As}^\mathrm{V})} - k_2 ~ {(\mathsf{As}^\mathrm{V}_s)} \right) \\ + \frac{d}{dt}{(\mathsf{NH_2Cl})} &= -k_b ~ {(\mathsf{NH_2Cl})} \\ + {(\mathsf{As}^\mathrm{V}_s)} &= \frac{k_s ~ S_\max ~ {(\mathsf{As}^\mathrm{V})}}{1 + k_s {(\mathsf{As}^\mathrm{V})}} + + + where the various species, coefficients, and expressions are described in the tables below. + + + .. list-table:: Options + :header-rows: 1 + :widths: 3 3 10 + + * - Option + - Code + - Description + * - Rate units + - "HR" + - :math:`\mathrm{h}^{-1}` + * - Area units + - "M2" + - :math:`\mathrm{m}^2` + + + .. list-table:: Species + :header-rows: 1 + :widths: 2 2 2 3 4 6 + + * - Name + - Type + - Value + - Symbol + - Units + - Note + * - AS3 + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{III}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenite + * - AS5 + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{V}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenate + * - AStot + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{tot}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenic (total) + * - NH2CL + - Bulk + - "MG" + - :math:`{\mathsf{NH_2Cl}}` + - :math:`\mathrm{mg~L^{-1}}` + - dissolved monochloramine + * - AS5s + - Wall + - "UG" + - :math:`{\mathsf{As}^\mathrm{V}_{s}}` + - :math:`\require{upgreek}\upmu\mathrm{g}~\mathrm{m}^{-2}` + - adsorped arsenate (surface) + + + .. list-table:: Coefficients [1]_ + :header-rows: 1 + :widths: 2 2 2 3 4 6 + + * - Name + - Type + - Value + - Symbol + - Units + - Note + * - Ka + - Const + - :math:`10` + - :math:`k_a` + - :math:`\mathrm{mg}^{-1}_{\left(\mathsf{NH_2Cl}\right)}~\mathrm{h}^{-1}` + - arsenite oxidation + * - Kb + - Const + - :math:`0.1` + - :math:`k_b` + - :math:`\mathrm{h}^{-1}` + - chloromine decay + * - K1 + - Const + - :math:`5.0` + - :math:`k_1` + - :math:`\require{upgreek}\textrm{L}~\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{h}^{-1}` + - arsenate adsorption + * - K2 + - Const + - :math:`1.0` + - :math:`k_2` + - :math:`\textrm{L}~\mathrm{h}^{-1}` + - arsenate desporbtion + * - Smax + - Const + - :math:`50.0` + - :math:`S_{\max}` + - :math:`\require{upgreek}\upmu\mathrm{g}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{m}^{-2}` + - arsenate adsorption limit + + + .. list-table:: Other terms + :header-rows: 1 + :widths: 3 3 12 3 + + * - Name + - Symbol + - Expression + - Units + * - Ks + - :math:`k_s` + - :math:`{k_1}/{k_2}` + - :math:`\require{upgreek}\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}` + + + .. list-table:: Pipe reactions [2]_ + :header-rows: 1 + :widths: 3 3 16 + + * - Species + - Type + - Expression + * - AS3 + - Rate + - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - AS5 + - Rate + - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}} -Av \left( k_1 \left(S_{\max}-{\mathsf{As}^\mathrm{V}_{s}} \right) {\mathsf{As}^\mathrm{V}} - k_2 \, {\mathsf{As}^\mathrm{V}_{s}} \right)` + * - NH2CL + - Rate + - :math:`-k_b \, {\mathsf{NH_2Cl}}` + * - AStot + - Formula + - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` + * - AS5s + - Equil + - :math:`k_s \, S_{\max} \frac{{\mathsf{As}^\mathrm{V}}}{1 + k_s \, {\mathsf{As}^\mathrm{V}}} - {\mathsf{As}^\mathrm{V}_{s}}` + + + .. list-table:: Tank reactions + :header-rows: 1 + :widths: 3 3 16 + + * - Species + - Type + - Expression + * - AS3 + - Rate + - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - AS5 + - Rate + - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - NH2CL + - Rate + - :math:`-k_b \, {\mathsf{NH_2Cl}}` + * - AStot + - Formula + - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` + * - AS5s + - Equil + - :math:`0` (`not present in tanks`) + + References + ---------- + This model is described in the EPANET-MSX user manual [SRU23]_ and was simplified from [GSCL94]_. + + .. [GSCL94] + B. Gu, J. Schmitt, Z. Chen, L. Liang, and J.F. McCarthy. "Adsorption and desorption of + natural organic matter on iron oxide: mechanisms and models". Environ. Sci. Technol., 28:38-46, January 1994. + + Notes + ----- + + .. [1] + The volume unit, :math:`\textrm{L}`, is defined by the network model flow units. + .. [2] + The :math:`Av` variable is the surface area per unit volume for the network (by pipe). + In this model, it has units of :math:`\mathrm{m}^{2} / \mathrm{L}` + """ + msx = MultispeciesQualityModel() + msx.title = "Arsenic Oxidation/Adsorption Example" + msx.add_species(name="AS3", species_type="BULK", units="UG", note="Dissolved arsenite") + msx.add_species(name="AS5", species_type="BULK", units="UG", note="Dissolved arsenate") + msx.add_species(name="AStot", species_type="BULK", units="UG", note="Total dissolved arsenic") + msx.add_species(name="AS5s", species_type="WALL", units="UG", note="Adsorbed arsenate") + msx.add_species(name="NH2CL", species_type="BULK", units="MG", note="Monochloramine") + msx.add_constant("Ka", 10.0, units="1 / (MG * HR)", note="Arsenite oxidation rate coefficient") + msx.add_constant("Kb", 0.1, units="1 / HR", note="Monochloramine decay rate coefficient") + msx.add_constant("K1", 5.0, units="M^3 / (UG * HR)", note="Arsenate adsorption coefficient") + msx.add_constant("K2", 1.0, units="1 / HR", note="Arsenate desorption coefficient") + msx.add_constant("Smax", 50.0, units="UG / M^2", note="Arsenate adsorption limit") + msx.add_term(name="Ks", expression="K1/K2", note="Equil. adsorption coeff.") + msx.add_reaction( + species="AS3", location="pipes", dynamics_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" + ) + msx.add_reaction( + "AS5", "pipes", "rate", "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", note="Arsenate production less adsorption" + ) + msx.add_reaction( + species="NH2CL", location="pipes", dynamics_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" + ) + msx.add_reaction("AS5s", "pipe", "equil", "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", note="Arsenate adsorption") + msx.add_reaction(species="AStot", location="pipes", dynamics_type="formula", expression="AS3 + AS5", note="Total arsenic") + msx.add_reaction( + species="AS3", location="tank", dynamics_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" + ) + msx.add_reaction( + species="AS5", location="tank", dynamics_type="rate", expression="Ka*AS3*NH2CL", note="Arsenate production" + ) + msx.add_reaction( + species="NH2CL", location="tank", dynamics_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" + ) + msx.add_reaction(species="AStot", location="tanks", dynamics_type="formula", expression="AS3 + AS5", note="Total arsenic") + msx.options.area_units = "M2" + msx.options.rate_units = "HR" + msx.options.rtol = 0.001 + msx.options.atol = 0.0001 + msx.references.append(cite_msx()) + return msx + + +def batch_chloramine_decay(wn=None): + msx = MultispeciesQualityModel() + msx.title = "Batch chloramine decay example" + msx.options.area_units = "ft2" + msx.options.rate_units = "hr" + + msx.add_species("HOCL", "bulk", "mol", note="hypochlorous acid") + msx.add_species("NH3", "bulk", "mol", note="ammonia") + msx.add_species("NH2CL", "bulk", "mol", note="monochloramine") + msx.add_species("NHCL2", "bulk", "mol", note="dichloramine") + msx.add_species("I", "bulk", "mol", note="unknown intermediate") + msx.add_species("OCL", "bulk", "mol", note="hypochlorite ion") + msx.add_species("NH4", "bulk", "mol", note="ammonium ion") + msx.add_species("ALK", "bulk", "mol", note="total alkalinity") + msx.add_species("H", "bulk", "mol", note="hydrogen ion") + msx.add_species("OH", "bulk", "mol", note="hydroxide ion") + msx.add_species("CO3", "bulk", "mol", note="carbonate ion") + msx.add_species("HCO3", "bulk", "mol", note="bicarbonate ion") + msx.add_species("H2CO3", "bulk", "mol", note="dissolved carbon dioxide") + msx.add_species("chloramine", "bulk", "mmol", note="monochloramine in mmol/L") + + msx.add_parameter("k1", 1.5e10) + msx.add_parameter("k2", 7.6e-2) + msx.add_parameter("k3", 1.0e6) + msx.add_parameter("k4", 2.3e-3) + msx.add_parameter("k6", 2.2e8) + msx.add_parameter("k7", 4.0e5) + msx.add_parameter("k8", 1.0e8) + msx.add_parameter("k9", 3.0e7) + msx.add_parameter("k10", 55.0) + + msx.add_term("k5", "(2.5e7*H) + (4.0e4*H2CO3) + (800*HCO3)") + msx.add_term("a1", "k1 * HOCL * NH3") + msx.add_term("a2", "k2 * NH2CL") + msx.add_term("a3", "k3 * HOCL * NH2CL") + msx.add_term("a4", "k4 * NHCL2") + msx.add_term("a5", "k5 * NH2CL * NH2CL") + msx.add_term("a6", "k6 * NHCL2 * NH3 * H") + msx.add_term("a7", "k7 * NHCL2 * OH") + msx.add_term("a8", "k8 * I * NHCL2") + msx.add_term("a9", "k9 * I * NH2CL") + msx.add_term("a10", "k10 * NH2CL * NHCL2") + + msx.add_reaction("HOCL", PIPE, RATE, "-a1 + a2 - a3 + a4 + a8") + msx.add_reaction("NH3", PIPE, RATE, "-a1 + a2 + a5 - a6") + msx.add_reaction("NH2CL", PIPE, RATE, "a1 - a2 - a3 + a4 - a5 + a6 - a9 - a10") + msx.add_reaction("NHCL2", PIPE, RATE, "a3 - a4 + a5 - a6 - a7 - a8 - a10") + msx.add_reaction("I", PIPE, RATE, "a7 - a8 - a9") + msx.add_reaction("H", PIPE, RATE, "0") + msx.add_reaction("ALK", PIPE, RATE, "0") + msx.add_reaction("OCL", PIPE, EQUIL, "H * OCL - 3.16E-8 * HOCL") + msx.add_reaction("NH4", PIPE, EQUIL, "H * NH3 - 5.01e-10 * NH4") + msx.add_reaction("CO3", PIPE, EQUIL, "H * CO3 - 5.01e-11 * HCO3") + msx.add_reaction("H2CO3", PIPE, EQUIL, "H * HCO3 - 5.01e-7 * H2CO3") + msx.add_reaction("HCO3", PIPE, EQUIL, "ALK - HC03 - 2*CO3 - OH + H") + msx.add_reaction("OH", PIPE, EQUIL, "H * OH - 1.0e-14") + msx.add_reaction("chloramine", PIPE, FORMULA, "1000 * NH2CL") + return msx diff --git a/wntr/quality/multispecies.py b/wntr/quality/multispecies.py index d9adccdb6..a29e664e3 100644 --- a/wntr/quality/multispecies.py +++ b/wntr/quality/multispecies.py @@ -1,48 +1,37 @@ # -*- coding: utf-8 -*- -""" -Multispecies water quality model and elements. -This module contains concrete instantiations of the abstract classes described in :class:`wntr.quality.base`. +"""Water quality model implementations. """ -import enum + import logging -import warnings -from collections.abc import MutableMapping -from dataclasses import InitVar, asdict, field -from enum import Enum, IntFlag + from typing import ( Any, - ClassVar, + Callable, Dict, - Generator, - Hashable, Iterator, List, - Literal, - Set, Tuple, Union, ) -import wntr.quality.io + from wntr.epanet.util import ENcomment from wntr.network.elements import Source from wntr.network.model import PatternRegistry, SourceRegistry, WaterNetworkModel +from wntr.quality.base import WaterQualityReaction, WaterQualityVariable from wntr.utils.disjoint_mapping import DisjointMapping, KeyExistsError from .base import ( EXPR_TRANSFORMS, HYDRAULIC_VARIABLES, - RESERVED_NAMES, EXPR_FUNCTIONS, - AbstractQualityModel, DynamicsType, LocationType, - AbstractReaction, - AbstractVariable, QualityVarType, SpeciesType, + AnnotatedFloat, ) from .options import MultispeciesOptions @@ -55,9 +44,7 @@ has_sympy = True except ImportError: sympy = None - logging.critical( - "This python installation does not have SymPy installed. Certain functionality will be disabled." - ) + logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") standard_transformations = (None,) convert_xor = None has_sympy = False @@ -65,1802 +52,1362 @@ logger = logging.getLogger(__name__) - -class Species(AbstractVariable): - """A species in a multispecies water quality model. - - .. rubric:: Constructor - - The preferred way to create a new species is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_bulk_species()`, - :meth:`~MultispeciesQualityModel.add_wall_species()`, - :meth:`~MultispeciesQualityModel.add_species()`, or - :meth:`~MultispeciesQualityModel.add_variable()`. - """ - - name: str = None - """The name (symbol) for the variable, must be a valid MSX name""" - units: str = None - """The units used for concentration of this species""" - note: Union[str, Dict[str, str]] = None - """A note to go with this species""" - diffusivity: float = None - """A value for diffusivity for this species""" +__all__ = [ + "Species", + "Constant", + "Parameter", + "Term", + "ReservedName", + "HydraulicVariable", + "MathFunction", + "VariableRegistry", + "InitialQuality", + "ParameterValues", + "NetworkSpecificData", + "MultispeciesQualityModel", +] + + +class Species(WaterQualityVariable): + """A biological or chemical species that impacts water quality.""" def __init__( self, - species_type: Union[SpeciesType, str], name: str, + species_type: Union[SpeciesType, str], units: str, atol: float = None, rtol: float = None, - note: Union[str, Dict[str, str]] = None, - diffusivity: float = None, *, - _qm: AbstractQualityModel = None, - ): - """ - Parameters - ---------- - species_type: SpeciesType | str - The type of species, either BULK or WALL + note=None, + diffusivity: float = None, + pipe_reaction: "WaterQualityReaction" = None, + tank_reaction: "WaterQualityReaction" = None, + _vars=None, + _vals=None, + ) -> None: + """A biological or chemical species. + + Arguments + --------- name : str - The name (symbol) for the variable, must be a valid MSX name + The species name + species_type : SpeciesType | str + The species type units : str - The units used for this species + The units of mass for this species, see :attr:`units` property. atol : float, optional - The absolute tolerance to use when solving for this species, by default None + The absolute tolerance when solving this species' equations, by default None [1]_ rtol : float, optional - The relative tolerance to use when solving for this species, by default None - note : str or dict, optional - A note about this species, by default None + The relative tolerance when solving this species' equations, by default None [1]_ + + + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure) diffusivity : float, optional - The diffusivity value for this species, by default None + Diffusivity of the species in water, by default None + pipe_reaction : dict | MultispeciesReaction, optional + Reaction dynamics of the species in pipes, by default None + tank_reaction : dict | MultispeciesReaction, optional + Reaction dynamics of the species in tanks, by default None + + + Raises + ------ + TypeError + if mandatory arguments are passed as None + TypeError + if a tank reaction is provided for a wall species + TypeError + if an invalid type is passed for a pipe or tank reaction + + + .. [1] + The `atol` and `rtol` arguments must both be None, or both be a float greater than 0. + + + .. rubric:: Developer-use Arguments + + The following function call parameters should only be used by a MultispeciesModel class + or model-building function; the user should not need to pass these arguments. Other Parameters ---------------- - _qm : MultispeciesQualityModel - the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None + _vars : VariablesRegistry, optional + the variables registry object of the model this variable was added to, by default None + _vals : _type_, optional + _description_, by default None """ - if name in RESERVED_NAMES: - raise ValueError("Name cannot be a reserved name") - self._species_type = SpeciesType.get(species_type) - if self._species_type is None: + super().__init__(name, note=note, _vars=_vars) + species_type = SpeciesType.get(species_type) + if species_type is None: raise TypeError("species_type cannot be None") - self.name: str = name - """The name of the variable""" + self._species_type = species_type + self._tolerances = None + self.set_tolerances(atol, rtol) self.units: str = units - """The units used for this species""" - self.note = note - """A note about this species, by default None""" + """The units of mass for this species. + For bulk species, concentration is this unit divided by liters, for wall species, concentration is this unit + divided by the model's area-unit (see options). + """ self.diffusivity: float = diffusivity - """The diffusivity value for this species, by default None""" - if atol is not None: - atol = float(atol) - if rtol is not None: - rtol = float(rtol) - if (atol is None) ^ (rtol is None): - raise TypeError( - "atol and rtol must be the same type, got {} and {}".format(atol, rtol) - ) - self._atol = atol - self._rtol = rtol - self._variable_registry = _qm - - def __repr__(self): - return "{}(name={}, unit={}, atol={}, rtol={}, note={})".format( - self.__class__.__name__, - repr(self.name), - repr(self.units), - self._atol, - self._rtol, - repr( - self.note if not isinstance(self.note, ENcomment) else asdict(self.note) - ), - ) + """The diffusivity of this species in water, if being used, by default None""" + if species_type is SpeciesType.WALL and tank_reaction: + raise TypeError("Wall species tank_reaction must be None") + self.pipe_reaction: WaterQualityReaction = None + """The object that describes how this species reacts in pipes""" + self.tank_reaction: WaterQualityReaction = None + """The object that describes how this species reacts in tanks""" + if isinstance(pipe_reaction, WaterQualityReaction): + pipe_reaction.species = self + self.pipe_reaction = pipe_reaction + elif isinstance(pipe_reaction, dict): + pipe_reaction["location"] = "pipe" + pipe_reaction["species"] = self + self.pipe_reaction = self.add_reaction(**pipe_reaction) + elif pipe_reaction is None: + self.pipe_reaction = None + else: + raise TypeError("The pipe_reaction is invalid") + if isinstance(tank_reaction, WaterQualityReaction): + tank_reaction.species = self + self.tank_reaction = tank_reaction + elif isinstance(tank_reaction, dict): + tank_reaction["location"] = "tank" + tank_reaction["species"] = self + self.tank_reaction = self.add_reaction(**tank_reaction) + elif tank_reaction is None: + self.tank_reaction = None + else: + raise TypeError("The tank_reaction is invalid") + if _vals is not None and isinstance(_vals, InitialQuality): + self._vals = _vals + else: + self._vals = None - def __eq__(self, other): - return ( - isinstance(other, self.__class__) - and self.name == other.name - and self.units == other.units - and self.diffusivity == other.diffusivity - and self._atol == other._atol - and self._rtol == other._rtol - ) + def set_tolerances(self, atol: float, rtol: float): + """Set the absolute and relative tolerance for the solvers. + + The user must set both values, or neither value (None). Values must be + positive. + + Arguments + --------- + atol : float + The absolute tolerance to use + rtol : float + The relative tolerance to use + + Raises + ------ + TypeError + if only one of `atol` or `rtol` is a float + ValueError + if either value is less-than-or-equal-to zero + """ + if (self.atol is None) ^ (self.rtol is None): + raise TypeError("atol and rtol must both be float or both be None") + if self.atol is None: + self._tolerances = None + elif atol <= 0 or rtol <= 0: + raise ValueError("atol and rtol must both be positive, got atol={}, rtol={}".format(atol, rtol)) + else: + self._tolerances = (atol, rtol) + + def get_tolerances(self) -> Union[Tuple[float, float], None]: + """Get the custom solver tolerances for this species. + + Returns + ------- + (float, float) or None + absolute and relative tolerances, respectively, if they are set, otherwise returns None + """ + return self._tolerances + + def clear_tolerances(self): + """Set both tolerances to None, reverting to the global options value.""" + self._tolerances = None @property - def var_type(self): + def atol(self) -> float: + """The absolute tolerance. Must be set using :meth:`set_tolerances`""" + if self._tolerances is not None: + return self._tolerances[0] + return None + + @property + def rtol(self) -> float: + """The relative tolerance. Must be set using :meth:`set_tolerances`""" + if self._tolerances is not None: + return self._tolerances[1] + return None + + @property + def var_type(self) -> QualityVarType: + """This is a species""" return QualityVarType.SPECIES @property def species_type(self) -> SpeciesType: - """Type type of species (bulk or wall)""" + """The type of species""" return self._species_type @property - def is_bulk(self) -> bool: - """Is this a bulk species?""" - return self._species_type is SpeciesType.BULK + def initial_quality(self) -> "NetworkSpecificData": + """If a specific network has been linked, then the initial quality values for the network""" + if self._vals is not None: + return self._vals + else: + raise TypeError("This species is not linked to a NetworkSpecificValues obejct, please `relink` your model") - @property - def is_wall(self) -> bool: - """Is this a wall species?""" - return self._species_type is SpeciesType.WALL + def add_reaction( + self, location: LocationType, dynamics_type: DynamicsType, expression: str, *, note: Any = None + ) -> "WaterQualityReaction": + """Add a reaction object to the species. + + Arguments + --------- + location : LocationType + where the reaction takes place, either PIPE or TANK + dynamics_type : DynamicsType + the type of dynamics described by the expression + expression : str + the reaction dynamics expression - def get_tolerances(self) -> Tuple[float, float]: - """Get the species-specific solver tolerances. + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding the reaction, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Returns ------- - two-tuple or None - the absolute and relative tolerances, or None if the global values should be used + MultispeciesReaction + the new reaction object """ - if self._atol is not None and self._rtol is not None: - return (self._atol, self._rtol) - return None - - def set_tolerances(self, absolute: float, relative: float): - """Set the species-specific solver tolerances. Using ``None`` for both will - clear the tolerances, though using :func:`clear_tolerances` is clearer code. + location = LocationType.get(location, allow_none=False) + dynamics_type = DynamicsType.get(dynamics_type, allow_none=False) + new = WaterQualityReaction( + species=self, + dynamics_type=dynamics_type, + expression=expression, + note=note, + ) + if location is LocationType.PIPE: + self.pipe_reaction = new + else: + self.tank_reaction = new + return new - Parameters - ---------- - absolute : float - the absolute solver tolerance - relative : float - the relative solver tolerance + def to_dict(self) -> Dict[str, Any]: + """Create a dictionary representation of the object + + The species dictionary has the following format, as described using a json schema. + + .. code:: json + + { + "title": "Species", + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "species_type": { + "enum": ["bulk", "wall"] + }, + "units": { + "type": "string" + }, + "atol": { + "type": "number", + "exclusiveMinimum": 0 + }, + "rtol": { + "type": "number", + "exclusiveMinimum": 0 + }, + "note": { + "type": "string" + }, + "diffusivity": { + "type": "number", + "minimum": 0 + }, + "pipe_reaction": { + "type": "object", + "properties": { + "dynamics_type": { + "enum": ["rate", "equil", "formula"] + }, + "expression": { + "type": "string" + } + } + }, + "tank_reaction": { + "type": "object", + "properties": { + "dynamics_type": { + "enum": ["rate", "equil", "formula"] + }, + "expression": { + "type": "string" + } + } + } + }, + "required": ["name", "species_type", "units", "pipe_reaction", "tank_reaction"], + "dependentRequired": {"atol": ["rtol"], "rtol":["atol"]} + } - Raises - ------ - TypeError - if both absolute and relative are not the same type - ValueError - if either value is less-than-or-equal-to zero """ - if absolute is None and relative is None: - self._atol = self._rtol = None - return - try: - if not isinstance(absolute, float): - absolute = float(absolute) - if not isinstance(relative, float): - relative = float(relative) - except Exception as e: - raise TypeError( - "absolute and relative must be the same type, got {} and {}".format( - absolute, relative - ) - ) - if absolute <= 0: - raise ValueError("Absolute tolerance must be greater than 0") - if relative <= 0: - raise ValueError("Relative tolerance must be greater than 0") - self._atol = absolute - self._rtol = relative - - def clear_tolerances(self): - """Resets both tolerances to ``None`` to use the global values.""" - self._atol = self._rtol = None - - def to_dict(self): - rep = dict( - name=self.name, - species_type=self.species_type.name.lower(), - units=self.units, + ret = dict( + name=self.name, species_type=self.species_type.name.lower(), units=self.units, atol=self.atol, rtol=self.rtol ) - tols = self.get_tolerances() - if tols is not None: - rep["atol"] = tols[0] - rep["rtol"] = tols[1] - if self.diffusivity: - rep["diffusivity"] = self.diffusivity - if isinstance(self.note, str): - rep["note"] = self.note - elif isinstance(self.note, ENcomment): - rep["note"] = asdict(self.note) if self.note.pre else self.note.post - else: - rep["note"] = None - return rep + if self.diffusivity: + ret["diffusivity"] = self.diffusivity + + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + + if self.pipe_reaction is not None: + pr = self.pipe_reaction.to_dict() + if "species" in pr: + del pr["species"] + ret["pipe_reaction"] = pr + if self.tank_reaction is not None: + tr = self.tank_reaction.to_dict() + if "species" in tr: + del tr["species"] + ret["tank_reaction"] = tr + return ret + + +class Constant(WaterQualityVariable): + """A constant coefficient for use in reaction expressions.""" + + def __init__(self, name: str, value: float, *, units: str = None, note=None, _vars=None) -> None: + """A variable representing a constant value. + + Arguments + --------- + name : str + The name of the variable. + value : float + The constant value. -class Constant(AbstractVariable): - """A constant coefficient that is used in reaction expressions. - - .. rubric:: Constructor + Keyword Aguments + ---------------- + units : str, optional + Units for the variable, by default None + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - The preferred way to create a new coefficient is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_constant()`, - :meth:`~MultispeciesQualityModel.add_parameter()`, - :meth:`~MultispeciesQualityModel.add_coefficient()`, or - :meth:`~MultispeciesQualityModel.add_variable()`. - """ - name: str = None - """The name (symbol) for the variable, must be a valid MSX name""" - units: str = None - """The units used for this variable""" - note: Union[str, Dict[str, str]] = None - """A note to go with this varibale""" - global_value: float = None - """The global value for the coefficient""" + .. rubric:: Developer-use Arguments - def __init__( - self, - name: str, - global_value: float, - note: Union[str, Dict[str, str]] = None, - units: str = None, - *, - _qm: AbstractQualityModel = None, - ): - """ - Parameters - ---------- - name : str - the name/symbol of the coefficient - global_value : float - the global value for the coefficient - note : Union[str, Dict[str, str]], optional - a note for this variable, by default None - units : str, optional - units for this coefficient, by default None + The following function call parameters should only be used by a MultispeciesModel class + or model-building function; the user should not need to pass these arguments. Other Parameters ---------------- - _qm : MultispeciesQualityModel - the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None + _vars : VariablesRegistry, optional + the variables registry object of the model this variable was added to, by default None """ - if name in RESERVED_NAMES: - raise ValueError("Name cannot be a reserved name") - self.name = name - """The name of the variable""" - self.global_value = float(global_value) - """The global value for the coefficient""" - self.note = note - """A note about this species, by default None""" + super().__init__(name, note=note, _vars=_vars) + self.value = float(value) + """The value of the constant""" self.units = units - """The units used for this species""" - self._variable_registry = _qm - - def __repr__(self): - return "{}(name={}, global_value={}, units={}, note={})".format( - self.__class__.__name__, - repr(self.name), - repr(self.global_value), - repr(self.units), - repr( - self.note if not isinstance(self.note, ENcomment) else asdict(self.note) - ), - ) - - def __eq__(self, other): - return ( - isinstance(other, self.__class__) - and self.name == other.name - and self.global_value == other.global_value - and self.units == other.units - ) - - def get_value(self) -> float: - """Get the value of the coefficient - - Returns - ------- - float - the global value - """ - return self.global_value - - def to_dict(self): - rep = dict(name=self.name, global_value=self.global_value, units=self.units) - if isinstance(self.note, str): - rep["note"] = self.note - elif isinstance(self.note, ENcomment): - rep["note"] = asdict(self.note) if self.note.pre else self.note.post - else: - rep["note"] = None - return rep + """The units of the constant""" @property - def var_type(self): - return QualityVarType.CONST + def var_type(self) -> QualityVarType: + """This is a constant coefficient.""" + return QualityVarType.CONSTANT + def to_dict(self) -> Dict[str, Any]: + ret = dict(name=self.name, value=self.value) + if self.units: + ret["units"] = self.units + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + return ret -class Parameter(AbstractVariable): - """A variable parameter for reaction expressions. + def __call__(self, *, t=None) -> Any: + return self.value - .. rubric:: Constructor - The preferred way to create a new parameterized coefficient is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_parameter()`, - :meth:`~MultispeciesQualityModel.add_coefficient()`, or - :meth:`~MultispeciesQualityModel.add_variable()`. - """ +class Parameter(WaterQualityVariable): + """A coefficient that is parameterized by pipe/tank.""" - name: str = None - """The name (symbol) for the variable, must be a valid MSX name""" - units: str = None - """The units used for this variable""" - global_value: float = None - """The global value for the coefficient""" - note: Union[str, Dict[str, str]] = None - """A note to go with this varibale""" + def __init__(self, name: str, global_value: float, *, units: str = None, note=None, _vars=None, _vals=None) -> None: + """A parameterized variable for use in expressions. - def __init__( - self, - name: str, - global_value: float, - note: Union[str, Dict[str, str]] = None, - units: str = None, - pipe_values: Dict[str, float] = None, - tank_values: Dict[str, float] = None, - *, - _qm: AbstractQualityModel = None, - ): - """ - Parameters - ---------- + Arguments + --------- name : str - the name/symbol of the coefficient + The name of this parameter. global_value : float - the global value for the coefficient - note : Union[str, Dict[str, str]], optional - a note for this variable, by default None + The global value for the parameter if otherwise unspecified. + + Keyword Arguments + ----------------- units : str, optional - units for this coefficient, by default None - pipe_values : dict, optional - the values of the parameter at specific pipes, by default None - tank_values : dict, optional - the values of the parameter at specific tanks, by default None + The units for this parameter, by default None + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + + + .. rubric:: Developer-use Arguments + + The following function call parameters should only be used by a MultispeciesModel class + or model-building function; the user should not need to pass these arguments. Other Parameters ---------------- - _qm : MultispeciesQualityModel - the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None + _vars : VariablesRegistry, optional + the variables registry object of the model this variable was added to, by default None + _vals : ParameterValues, optional + Values for specific tanks or pipes, by default None. This argument should + be passed by the MultispeciesModel during variable creation. """ - if name in RESERVED_NAMES: - raise ValueError("Name cannot be a reserved name") - self.name = name - """The name of the variable""" + super().__init__(name, note=note, _vars=_vars) self.global_value = float(global_value) - """The global value for the coefficient""" - self.note = note - """A note about this species, by default None""" self.units = units - """The units used for this species""" - self._variable_registry = _qm - self._pipe_values = pipe_values if pipe_values is not None else dict() - """A dictionary of parameter values for various pipes""" - self._tank_values = tank_values if tank_values is not None else dict() - """A dictionary of parameter values for various tanks""" - - def __eq__(self, other): - basic = ( - isinstance(other, self.__class__) - and self.name == other.name - and self.global_value == other.global_value - and self.units == other.units - ) - if not basic: - return False - for k, v in self._pipe_values: - if other._pipe_values[k] != v: - return False - for k, v in self._tank_values: - if other._tank_values[k] != v: - return False - return True - - def __repr__(self): - return "{}(name={}, global_value={}, units={}, note={})".format( - self.__class__.__name__, - repr(self.name), - repr(self.global_value), - repr(self.units), - repr( - self.note if not isinstance(self.note, ENcomment) else asdict(self.note) - ), - ) + self._vals = _vals @property - def var_type(self): - return QualityVarType.PARAM - - def get_value(self, pipe: str = None, tank: str = None) -> float: - """Get the value of the parameter, either globally or for a specific pipe or tank. - - Parameters - ---------- - pipe : str, optional - a pipe to get the value for, by default None - tank : str, optional - a tank to get the value for, by default None - - Returns - ------- - float - either a specific parameter value for the specified pipe or tank, or the global value - if nothing is specified OR if the pipe or tank requested does not have a special value. - - Raises - ------ - TypeError - if both pipe and tank are specified - """ + def var_type(self) -> QualityVarType: + """This is a parameterized coefficient.""" + return QualityVarType.PARAMETER + + def to_dict(self) -> Dict[str, Any]: + ret = dict(name=self.name, global_value=self.global_value) + if self.units: + ret["units"] = self.units + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + return ret + + def __call__(self, *, t=None, pipe: float = None, tank: float = None) -> Any: if pipe is not None and tank is not None: - raise TypeError( - "Cannot get a value for a pipe and tank at the same time - one or both must be None" - ) - if pipe is not None: - return self._pipe_values.get(pipe, self.global_value) - if tank is not None: - return self._tank_values.get(tank, self.global_value) + raise TypeError("Both pipe and tank cannot be specified at the same time") + elif self._vals is None and (pipe is not None or tank is not None): + raise ValueError("No link provided to network-specific parameter values") + if pipe: + return self._vals.pipe_values.get(pipe, self.global_value) + elif tank: + return self._vals.tank_values.get(pipe, self.global_value) return self.global_value - @property - def pipe_values(self) -> Dict[str, float]: - """A dictionary of values, iff different from the global value, for specific pipes""" - return self._pipe_values + def link_values(self, values: "ParameterValues"): + """Link the paraemterized values to a model object. - @property - def tank_values(self) -> Dict[str, float]: - """A dictionary of values, iff different from the global value, for specific tanks""" - return self._tank_values + Note, this should not be necessary if the user uses the MultispeciesModel + add_parameter function. - def to_dict(self): - rep = dict(name=self.name, global_value=self.global_value, units=self.units) - if isinstance(self.note, str): - rep["note"] = self.note - elif isinstance(self.note, ENcomment): - rep["note"] = asdict(self.note) if self.note.pre else self.note.post - else: - rep["note"] = None - rep["pipe_values"] = self._pipe_values.copy() - rep["tank_values"] = self._tank_values.copy() - return rep + Arguments + --------- + values : ParameterValues + The parameter values object. + """ + self._vals = values -class OtherTerm(AbstractVariable): - """An expression term defined as a function of species, coefficients, or other terms. +class Term(WaterQualityVariable): + def __init__(self, name: str, expression: str, *, note=None, _vars=None) -> None: + """A named expression that can be used as a term in other expressions. - .. rubric:: Constructor + Arguments + --------- + name : str + The variable name. + expression : str + The mathematical expression to be aliased - The preferred way to create a new functional term is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_other_term()` or - :meth:`~MultispeciesQualityModel.add_variable()`. - """ + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - name: str = None - """The name (symbol) for the variable, must be a valid MSX name""" - expression: str = None - """The mathematical expression this term represents""" - note: Union[str, Dict[str, str]] = None - """A note to go with this term""" - def __init__( - self, - name: str, - expression: str, - note: Union[str, Dict[str, str]] = None, - *, - _qm: AbstractQualityModel = None, - ): - """ - Parameters - ---------- - name : str - the name/symbol of the function (term) - expression : str - the mathematical expression described by this function - note : str, optional - a note for this function, by default None + .. rubric:: Developer-use Arguments + + The following function call parameters should only be used by a MultispeciesModel class + or model-building function; the user should not need to pass these arguments. Other Parameters ---------------- - _qm : MultispeciesQualityModel - the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None + _vars : VariablesRegistry, optional + the variables registry object of the model this variable was added to, by default None """ - if name in RESERVED_NAMES: - raise ValueError("Name cannot be a reserved name") - self.name = name - """The name of the variable""" + super().__init__(name, note=note, _vars=_vars) self.expression = expression - """The expression this named-function is equivalent to""" - self.note = note - """A note about this function/term""" - self._variable_registry = _qm - - def __repr__(self): - return "{}(name={}, expression={}, note={})".format( - self.__class__.__name__, - repr(self.name), - repr(self.expression), - repr( - self.note if not isinstance(self.note, ENcomment) else asdict(self.note) - ), - ) - - def __eq__(self, other): - return ( - isinstance(other, self.__class__) - and self.name == other.name - and self.expression == other.expression - ) + """The expression that is aliased by this term""" @property - def var_type(self): + def var_type(self) -> QualityVarType: + """This is a term (named expression).""" return QualityVarType.TERM - def to_symbolic(self): - return super().to_symbolic() + def to_dict(self) -> Dict[str, Any]: + ret = dict(name=self.name, expression=self.expression) + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + return ret - def to_dict(self): - rep = dict(name=self.name, expression=self.expression) - if isinstance(self.note, str): - rep["note"] = self.note - elif isinstance(self.note, ENcomment): - rep["note"] = asdict(self.note) if self.note.pre else self.note.post - else: - rep["note"] = None - return rep +class ReservedName(WaterQualityVariable): + def __init__(self, name: str, *, note=None, _vars: dict = None) -> None: + """An object representing a reserved name that should not be used by the user. -class InternalVariable(AbstractVariable): - """A hydraulic variable or a placeholder for a built-in reserved word. + Arguments + --------- + name : str + The reserved name. - For example, "Len" is the EPANET-MSX name for the length of a pipe, and "I" is a sympy - reserved symbol for the imaginary number. + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - .. rubric:: Constructor - Objects of this type are instantiated when creating a new :class:`MultispeciesQualityModel`, - and should not need to be created by hand. - """ + .. rubric:: Developer-use Arguments - name: str = None - """The name (symbol) for the variable, must be a valid MSX name""" - units: str = None - """The units used for this variable""" - note: Union[str, Dict[str, str]] = None - """A note to go with this variable""" + The following function call parameters should only be used by a MultispeciesModel class + or model-building function; the user should not need to pass these arguments. - def __init__( - self, - name: str, - note: Union[str, Dict[str, str]] = "internal variable - not output to MSX", - units: str = None, - ): - """ - Parameters - ---------- - name : str - The name and symbol for the new variable - note : str or dict, optional - A note to go on the object, by default "internal variable - not output to MSX" - units : str, optional - Units used by values stored in this variable, by default None + Other Parameters + ---------------- + _vars : VariablesRegistry, optional + the variables registry object of the model this variable was added to, by default None + + Raises + ------ + KeyExistsError + _description_ """ + if _vars is not None and name in _vars.keys(): + raise KeyExistsError("This variable name is already taken") self.name = name - """The name of the variable""" self.note = note - """A note about this function/term""" - self.units = units - """The units used for this species""" - - def __repr__(self): - return "{}(name={}, units={}, note={})".format( - self.__class__.__name__, - repr(self.name), - repr(self.units), - repr( - self.note if not isinstance(self.note, ENcomment) else asdict(self.note) - ), - ) - - def __eq__(self, other): - return isinstance(other, self.__class__) and self.name == other.name + self._vars = _vars @property - def var_type(self): + def var_type(self) -> QualityVarType: + """Variable name is a reserved word in MSX""" return QualityVarType.RESERVED + def to_dict(self) -> Dict[str, Any]: + raise NotImplementedError("You cannot convert a reserved word to a dictionary representation") -class RateDynamics(AbstractReaction): - r"""A rate-of-change reaction dynamics expression. - - Used to supply the equation that expresses the rate of change of the given species - with respect to time as a function of the other species in the model. - .. math:: +class HydraulicVariable(ReservedName): + def __init__(self, name: str, units: str = None, *, note=None) -> None: + """A variable representing instantaneous hydraulics data. - \frac{d}{dt} C(species) = expression + The user should not need to create any variables using this class, they + are created automatically by the MultispeciesModel object during initialization. - .. rubric:: Constructor + Arguments + --------- + name : str + The name of the variable (predefined by MSX) + units : str, optional + The units for hydraulic variable, by default None - The preferred way to create a new rate reaction expression is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_pipe_reaction()`, - :meth:`~MultispeciesQualityModel.add_tank_reaction()`, or - :meth:`~MultispeciesQualityModel.add_reaction()`. - """ - def __init__( - self, - species: str, - dynamics: DynamicsType, - expression: str, - note: Union[str, Dict[str, str]] = None, - *, - _qm: AbstractQualityModel = None, - ): + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). """ - Parameters - ---------- - species : str - the name of the species whose reaction dynamics is being described - dynamics : DynamicsType | str | int - the type of dynamics that the expression describes - expression : str - the expression for the reaction dynamics, which should equal to zero - note : str, optional - a note about this reaction + super().__init__(name, note=note) + self.units = units + """The hydraulic variable's units""" - Other Parameters - ---------------- - _qm : MultispeciesQualityModel - the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None - """ - self.species = species - """Name of the species being described""" - self.dynamics = DynamicsType.get(dynamics) - """Type of reaction dynamics described by the expression""" - self.expression = expression - """The expression""" - self.note = note - """A note or comment about this species reaction dynamics""" - self._variable_registry = _qm - - def __eq__(self, other): - return ( - isinstance(other, self.__class__) - and self.species == other.species - and self.dynamics == other.dynamics - and self.expression == other.expression - ) - @property - def dynamics(self) -> DynamicsType: - return DynamicsType.RATE +class MathFunction(ReservedName): + def __init__(self, name: str, func: Callable, *, note=None) -> None: + """A variable that is actually a mathematical function defined by MSX. - def to_symbolic(self): - return super().to_symbolic() + Arguments + --------- + name : str + The function name + func : Callable + The callable function - def to_dict(self) -> dict: - rep = dict( - species=self.species, - dynamics=self.dynamics.name.lower(), - expression=self.expression, - ) - if isinstance(self.note, str): - rep["note"] = self.note - elif isinstance(self.note, ENcomment): - rep["note"] = asdict(self.note) if self.note.pre else self.note.post - else: - rep["note"] = None - return rep + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + """ + super().__init__(name, note=note) + self.func = func + """A callable function or SymPy function""" -class EquilibriumDynamics(AbstractReaction): - """An equilibrium reaction expression. + def __call__(self, *args: Any, **kwds: Any) -> Any: + return self.func(*args, **kwds) - Used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero. - .. math:: +class Reaction(WaterQualityReaction): + def __init__(self, species: Species, dynamics_type: DynamicsType, expression: str, *, note=None) -> None: + """A water quality biochemical reaction dynamics definition for a specific species. - 0 = expression + This object must be attached to a species in the appropriate pipe or tank reaction attribute. - .. rubric:: Constructor + Arguments + --------- + species : Species | str + The species (object or name) this reaction is applicable to. + dynamics_type : DynamicsType + The type of reaction dynamics being described by the expression: one of RATE, FORMULA, or EQUIL. + expression : str + The mathematical expression for the right-hand-side of the reaction equation. - The preferred way to create a new rate reaction expression is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_pipe_reaction()`, - :meth:`~MultispeciesQualityModel.add_tank_reaction()`, or - :meth:`~MultispeciesQualityModel.add_reaction()`. - """ - def __init__( - self, - species: str, - location: LocationType, - expression: str, - note: Union[str, Dict[str, str]] = None, - *, - _qm: AbstractQualityModel = None, - ): - """ - Parameters - ---------- - species : str - the name of the species whose reaction dynamics is being described - location : RxnLocationType or str - the location the reaction occurs (pipes or tanks) - expression : str - the expression for the reaction dynamics, which should equal to zero - note : str, optional - a note about this reaction + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this reaction, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - Other Parameters - ---------------- - _qm : MultispeciesQualityModel - the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None + + Raises + ------ + TypeError + _description_ + TypeError + _description_ + TypeError + _description_ """ - self.species = species - """Name of the species being described""" - self.location = location - """Location this reaction occurs""" + super().__init__(dynamics_type, note=note) + if species is None: + raise TypeError("species cannot be None") + if not expression: + raise TypeError("expression cannot be None") + self._species = species self.expression = expression - """The expression""" - self.note = note - """A note or comment about this species reaction dynamics""" - self._variable_registry = _qm - - def __eq__(self, other): - return ( - isinstance(other, self.__class__) - and self.name == other.name - and self.location == other.location - and self.expression == other.expression - ) + """The mathematical expression (right-hand-side)""" @property - def dynamics(self) -> DynamicsType: - return DynamicsType.EQUIL + def species(self) -> str: + """The name of the species that reaction dynamics is being described.""" + return str(self._species) - def to_symbolic(self): - return super().to_symbolic() + @property + def dynamics_type(self) -> DynamicsType: + """The type of dynamics being described. + See :class:`DynamicsType` for valid values. + """ + return self._dynamics_type + + def __str__(self) -> str: + """Return a string representation of the reaction""" + return "{}({}) = ".format(self.dynamics_type.name, self.species) + self.expression def to_dict(self) -> dict: - rep = dict( - species=self.species, - dynamics=self.dynamics.name.lower(), - expression=self.expression, - ) - if isinstance(self.note, str): - rep["note"] = self.note - elif isinstance(self.note, ENcomment): - rep["note"] = asdict(self.note) if self.note.pre else self.note.post - else: - rep["note"] = None - return rep + ret = dict(species=str(self.species), dynamics_type=self.dynamics_type.name.lower(), expression=self.expression) + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + return ret -class FormulaDynamics(AbstractReaction): - """A formula-based reaction dynamics expression. +class VariableRegistry: + """A registry for all the variables registered in the multispecies reactions model. - Used when the concentration of the named species is a simple function of the remaining species. + This object can be used like an immutable mapping, with the ``__len__``, ``__getitem__``, + ``__iter__``, ``__contains__``, ``__eq__`` and ``__ne__`` functions being defined. + """ - .. math:: + def __init__(self) -> None: + self._vars = DisjointMapping() + self._vars.add_disjoint_group("reserved") + self._species = self._vars.add_disjoint_group("species") + self._const = self._vars.add_disjoint_group("constant") + self._param = self._vars.add_disjoint_group("parameter") + self._term = self._vars.add_disjoint_group("term") - C(species) = expression + @property + def all_variables(self) -> Dict[str, WaterQualityVariable]: + """The dictionary view onto all variables""" + return self._vars - .. rubric:: Constructor + @property + def species(self) -> Dict[str, Species]: + """The dictionary view onto only species""" + return self._species - The preferred way to create a new rate reaction expression is to use one of the following - functions from the :class:`MultispeciesQualityModel`: - :meth:`~MultispeciesQualityModel.add_pipe_reaction()`, - :meth:`~MultispeciesQualityModel.add_tank_reaction()`, or - :meth:`~MultispeciesQualityModel.add_reaction()`. - """ + @property + def constants(self) -> Dict[str, Constant]: + """The dictionary view onto only constants""" + return self._const - def __init__( - self, - species: str, - location: LocationType, - expression: str, - note: Union[str, Dict[str, str]] = None, - *, - _qm: AbstractQualityModel = None, - ): - """ - Parameters - ---------- - species : str - the name of the species whose reaction dynamics is being described - location : RxnLocationType or str - the location the reaction occurs (pipes or tanks) - expression : str - the expression for the reaction formula, which is used to calculate the concentration of the species - note : str, optional - a note about this reaction + @property + def parameters(self) -> Dict[str, Parameter]: + """The dictionary view onto only parameters""" + return self._param - Other Parameters - ---------------- - _qm : MultispeciesQualityModel - the model to link with, populated automatically if the :class:`MultispeciesQualityModel` API is used, by default None + @property + def terms(self) -> Dict[str, Term]: + """The dictionary view onto only named terms""" + return self._term + + def add_variable(self, obj: WaterQualityVariable) -> None: + """Add a variable object to the registry. + + The appropriate group is determined by querying the object's + var_type attribute. + + Arguments + --------- + obj : WaterQualityVariable + The variable to add. + + Raises + ------ + TypeError + if obj is not a WaterQualityVariable + KeyExistsError + if obj has a name that is already used in the registry """ - self.species = species - """Name of the species being described""" - self.location = location - """Location this reaction occurs""" - self.expression = expression - """The expression""" - self.note = note - """A note or comment about this species reaction dynamics""" - self._variable_registry = _qm - - def __eq__(self, other): - return ( - isinstance(other, self.__class__) - and self.name == other.name - and self.location == other.location - and self.expression == other.expression + if not isinstance(obj, WaterQualityVariable): + raise TypeError("Expected WaterQualityVariable object") + if obj.name in self: + raise KeyExistsError("Variable name {} already exists in model") + obj._vars = self + self._vars.add_item_to_group(obj.var_type.name.lower(), obj.name, obj) + + def __contains__(self, __key: object) -> bool: + return self._vars.__contains__(__key) + + def __eq__(self, __value: object) -> bool: + return self._vars.__eq__(__value) + + def __ne__(self, __value: object) -> bool: + return self._vars.__ne__(__value) + + # def __delitem__(self, __key: str) -> None: + # return self._vars.__delitem__(__key) + + def __getitem__(self, __key: str) -> WaterQualityVariable: + return self._vars.__getitem__(__key) + + # def __setitem__(self, __key: str, __value: MultispeciesVariable) -> None: + # return self._vars.__setitem__(__key, __value) + + def __iter__(self) -> Iterator: + return self._vars.__iter__() + + def __len__(self) -> int: + return self._vars.__len__() + + def to_dict(self): + return dict( + species=[v.to_dict() for v in self._species.values()], + constants=[v.to_dict() for v in self._const.values()], + parameters=[v.to_dict() for v in self._param.values()], + terms=[v.to_dict() for v in self._term.values()], ) + +class InitialQuality: + """A container for initial quality values for a species in a specific network.""" + + def __init__(self, global_value: float = 0.0, node_values: dict = None, link_values: dict = None): + """The initial quality values for a species. + + Arguments + --------- + global_value : float, optional + _description_, by default 0.0 + node_values : dict[str, float], optional + _description_, by default None + link_values : dict[str, float], optional + _description_, by default None + """ + self.global_value = global_value + """The global value for this species, if unspecified""" + self._node_values = node_values if node_values is not None else dict() + self._link_values = link_values if link_values is not None else dict() + @property - def dynamics(self) -> DynamicsType: - return DynamicsType.FORMULA + def node_values(self) -> Dict[str, float]: + """A mapping of node names to initial quality values for this species""" + return self._node_values - def to_symbolic(self): - return super().to_symbolic() + @property + def link_values(self) -> Dict[str, float]: + """A mapping of link names to initial quality values for this species""" + return self._link_values - def to_dict(self) -> dict: - rep = dict( - species=self.species, - dynamics=self.dynamics.name.lower(), - expression=self.expression, + def to_dict(self) -> Dict[str, Dict[str, float]]: + return dict(global_value=self.global_value, node_values=self._node_values.copy(), link_values=self._link_values.copy()) + + def __repr__(self) -> str: + return self.__class__.__name__ + "(global_value={}, node_values=<{} entries>, link_values=<{} entries>)".format( + self.global_value, len(self._node_values), len(self._link_values) ) - if isinstance(self.note, str): - rep["note"] = self.note - elif isinstance(self.note, ENcomment): - rep["note"] = asdict(self.note) if self.note.pre else self.note.post - else: - rep["note"] = None - return rep -class MultispeciesQualityModel(AbstractQualityModel): - """A multispecies water quality reactions model, for use with EPANET-MSX.""" +class ParameterValues: + """A container for pipe and tank specific values of a parameter for a specific network.""" - def __init__(self, msx_file_name=None): - """Create a new multispecies water quality reaction model. + def __init__(self, *, pipe_values: dict = None, tank_values: dict = None) -> None: + """The non-global values for a parameter. - Parameters - ---------- - msx_file_name : str, optional - The name of the MSX input file to read + Arguments + --------- + pipe_values : dict, optional + _description_, by default None + tank_values : dict, optional + _description_, by default None """ - self.name: str = None - """A one-line title for the model""" + self._pipe_values = pipe_values if pipe_values is not None else dict() + self._tank_values = tank_values if tank_values is not None else dict() - self.title: str = None - """The title line from the MSX file""" + @property + def pipe_values(self) -> Dict[str, float]: + """View onto the pipe values dictionary""" + return self._pipe_values - self.desc: str = None - """A longer description, to/from comments in top of MSX file""" + @property + def tank_values(self) -> Dict[str, float]: + """View onto the tank values dictionary""" + return self._tank_values - self._msxfile: str = msx_file_name - """The original filename""" + def to_dict(self) -> Dict[str, Dict[str, float]]: + return dict(pipe_values=self._pipe_values.copy(), tank_values=self._tank_values.copy()) - self._references: List[Union[dict, str]] = list() - """A list of references for the sources of this model's dynamics""" + def __repr__(self) -> str: + return self.__class__.__name__ + "(pipe_values=<{} entries>, tank_values=<{} entries>)".format( + len(self._pipe_values), len(self._tank_values) + ) - self._options: MultispeciesOptions = MultispeciesOptions() - """A link to the options object""" - self._wn: WaterNetworkModel = None - """A link to a water network model""" +class NetworkSpecificData: - self._variables: DisjointMapping = DisjointMapping() - self._species = self._variables.add_disjoint_group("species") - self._constants = self._variables.add_disjoint_group("constants") - self._params = self._variables.add_disjoint_group("parameters") - self._terms = self._variables.add_disjoint_group("terms") + def __init__(self) -> None: + """A container for network-specific values associated with a multispecies water quality model.""" + self._source_dict = dict() + self._initial_quality_dict: Dict[str, InitialQuality] = dict() + self._pattern_dict = dict() + self._parameter_value_dict: Dict[str, ParameterValues] = dict() - self._pipe_rxns = dict() - self._tank_rxns = dict() + @property + def sources(self): + """A dictionary of sources, keyed by species name""" + return self._source_dict - self._usage: Dict[str, Set[str]] = dict() # FIXME: currently no usage tracking + @property + def initial_quality(self) -> Dict[str, InitialQuality]: + """A dictionary of initial quality values, keyed by species name""" + return self._initial_quality_dict - self._source_dict: Dict[str, Dict[str, Source]] = dict() - self._inital_qual_dict: Dict[str, Dict[str, Dict[str, float]]] = dict() - self._pattern_dict: Dict[str, List[float]] = dict() + @property + def patterns(self): + """A dictionary of patterns, specific for the water quality model, keyed by pattern name. - self._report = list() + .. note:: the WaterNetworkModel cannot see these patterns, so names can be reused, so be + careful. Likewise, this model cannot see the WaterNetworkModel patterns, so this could be + a source of some confusion. + """ + return self._pattern_dict - for v in HYDRAULIC_VARIABLES: - self._variables[v["name"]] = InternalVariable(v["name"], note=v["note"]) - for name in EXPR_FUNCTIONS.keys(): - self._variables[name.lower()] = InternalVariable(name, note="MSX function") - self._variables[name.upper()] = InternalVariable(name, note="MSX function") - self._variables[name.capitalize()] = InternalVariable( - name, note="MSX function" - ) - if msx_file_name is not None: - from wntr.epanet.msx.io import MsxFile + @property + def parameter_values(self): + """A dictionary of parameter values, keyed by parameter name""" + return self._parameter_value_dict - inp = MsxFile() - inp.read(msx_file_name, self) + def add_pattern(self, name: str, multipliers: List[float]): + """Add a water-quality-model-specific pattern. - def _is_variable_registered( - self, var_or_name: Union[str, AbstractVariable] - ) -> bool: - name = str(var_or_name) - if name in self._variables.keys(): - return True - return False + Arguments + --------- + name : str + The pattern name + multipliers : List[float] + The pattern multipliers + """ + self._pattern_dict[name] = multipliers - def has_variable(self, name: str) -> bool: - """Check to see if there is a variable by this name. + def new_quality_values(self, species: Species): + """(Re)set the initial quality values for a species to a new container - Parameters - ---------- - name : str - a variable name to check + Arguments + --------- + species : Species + The species to (re) initialized. Returns ------- - bool - ``True`` if there is a variable by this name, ``False`` otherwise + InitialQuality + the new initial quality values container """ - return name in self._variables.keys() - - def variable_dict(self) -> Dict[str, Any]: - vars = dict() - for symb, spec in self._species.items(): - vars[symb] = symbols(symb) - for symb, coeff in self._constants.items(): - vars[symb] = symbols(symb) - for symb, coeff in self._params.items(): - vars[symb] = symbols(symb) - for symb, term in self._terms.items(): - vars[symb] = symbols(symb) - return vars + self._initial_quality_dict[str(species)] = InitialQuality() + if isinstance(species, Species): + species._vals = self._initial_quality_dict[str(species)] + return self._initial_quality_dict[str(species)] + + def remove_species(self, species: Union[Species, str]): + """Remove a species from the network specific model. + + Arguments + --------- + species : Union[Species, str] + _description_ + """ + if isinstance(species, Species): + species._vals = None + try: + self._initial_quality_dict.__delitem__(str(species)) + except KeyError: + pass - @property - def variable_name_list(self) -> List[str]: - """all defined variable names""" - return list(self._variables.keys()) + def new_parameter_values(self, param: Parameter): + """(Re)initialize parameter values for a parameter. - @property - def species_name_list(self) -> List[str]: - """all defined species names""" - return list(self._species.keys()) + Arguments + --------- + param : Parameter + _description_ - @property - def constant_name_list(self) -> List[str]: - """all defined coefficient names""" - return list(self._constants.keys()) + Returns + ------- + _type_ + _description_ + """ + self._parameter_value_dict[str(param)] = ParameterValues() + if isinstance(param, Parameter): + param._vals = self._parameter_value_dict[str(param)] + return self._parameter_value_dict[str(param)] + + def remove_parameter(self, param: Union[Parameter, str]): + """Remove values associated with a specific parameter. + + Arguments + --------- + param : Union[Parameter, str] + _description_ + """ + if isinstance(param, Parameter): + param._vals = None + try: + self._parameter_value_dict.__delitem__(str(param)) + except KeyError: + pass - @property - def parameter_name_list(self) -> List[str]: - """all defined coefficient names""" - return list(self._params.keys()) + def to_dict(self): + ret = dict(initial_quality=dict(), parameter_values=dict(), sources=dict(), patterns=dict()) + for k, v in self._initial_quality_dict.items(): + ret["initial_quality"][k] = v.to_dict() + for k, v in self._parameter_value_dict.items(): + ret["parameter_values"][k] = v.to_dict() + ret["sources"] = self._source_dict.copy() + ret["patterns"] = self._pattern_dict.copy() + return ret - @property - def other_term_name_list(self) -> List[str]: - """all defined function (MSX 'terms') names""" - return list(self._terms.keys()) - def variables(self, var_type: QualityVarType = None): - """A generator to loop over the variables. +class MultispeciesQualityModel: + """A multispecies water quality model for use with WNTR EPANET-MSX simulator.""" - Parameters - ---------- - var_type : QualityVarType, optional - limit results to a specific type, by default None + def __init__(self, msx_file_name=None) -> None: + """A full, multi-species water quality model. - Yields - ------ - RxnVariable - a variable defined within the model + Arguments + --------- + msx_file_name : str, optional + an MSX file to read in, by default None """ - var_type = QualityVarType.get(var_type) - for v in self._variables.values(): - if var_type is not None and v.var_type != var_type: - continue - yield v - - def add_variable( - self, - var_or_type: Union[AbstractVariable, QualityVarType], - name: str = None, - **kwargs, - ): - """Add an new variable to the model, or add an existing, unlinked variable object to the model. + self.name: str = None + """A name for the model, or the MSX model filename (no spaces allowed)""" + self.title: str = None + """The title line from the MSX file, must be a single line""" + self.desc: str = None + """A longer description, converted to comments in the top of an MSX file""" + self._msxfile: str = None + """The original filename""" + self._references: List[Union[str, Dict[str, str]]] = list() + self._options = MultispeciesOptions() + self._vars = VariableRegistry() + self._net = NetworkSpecificData() + self._wn = None - Parameters - ---------- - var_or_type : RxnVariable | QualityVarType - the variable object to add to the model, or the type if creating a new variable object - name : str or None - the name of a new variable, must be None if adding an existing object, by default None - kwargs - any keyword arguments to pass to a new object constructor + for v in HYDRAULIC_VARIABLES: + self._vars.add_variable(HydraulicVariable(**v)) + for k, v in EXPR_FUNCTIONS.items(): + self._vars.add_variable(MathFunction(name=k.lower(), func=v)) + self._vars.add_variable(MathFunction(name=k.capitalize(), func=v)) + self._vars.add_variable(MathFunction(name=k.upper(), func=v)) - Raises - ------ - TypeError - if var_or_type is not a valid object, or if trying to create a new internal/hydraulic variable - ValueError - if var_or_type is an object, but name is supplied, or if var_or_type is a type, but no name is supplied - VariableNameExistsError - if the variable or name uses the same name an existing variable already uses + @property + def references(self) -> List[Union[str, Dict[str, str]]]: + """A list of strings or mappings that provide references for this model. + This property should be modified using append/insert/remove. Members of + the list should be json seriealizable (i.e., strings or dicts of strings). """ - if not isinstance(var_or_type, (AbstractVariable,)): - try: - var_or_type = QualityVarType.get(var_or_type) - except Exception as e: - raise TypeError( - "Cannot add an object that is not a RxnVariable subclass or create a new object without a valid var_type" - ) from e - if name is None: - raise ValueError("When adding a new variable, a name must be supplied") - typ = var_or_type - if typ is QualityVarType.SPECIES: - self.add_species(name, **kwargs) - elif typ is QualityVarType.CONST: - self.add_constant(name, **kwargs) - elif typ is QualityVarType.PARAM: - self.add_parameter(name, **kwargs) - elif typ is QualityVarType.TERM: - self.add_other_term(var_or_type, name, **kwargs) - else: - raise TypeError( - "Cannot create new objects of the EXTERNAL type using this function" - ) + return self._references + + @property + def vars(self) -> VariableRegistry: + """The reaction variables defined for this model.""" + return self._vars + + @property + def net(self) -> NetworkSpecificData: + """The network-specific values added to this model.""" + return self._net + + @property + def options(self) -> MultispeciesOptions: + """The MSX model options""" + return self._options + + @options.setter + def options(self, value): + if isinstance(value, dict): + self._options = MultispeciesOptions.factory(value) + elif not isinstance(value, MultispeciesOptions): + raise TypeError("Expected a MultispeciesOptions object, got {}".format(type(value))) else: - if name is None or len(kwargs) > 0: - raise ValueError( - "When adding an existing variable object, no other arguments may be supplied" - ) - __variable = var_or_type - if self._is_variable_registered(__variable): - raise KeyExistsError( - "A variable with this name already exists in the model" - ) - typ = __variable.var_type - name = __variable.name - if hasattr(__variable, "_variable_registry"): - __variable._variable_registry = self - if typ is QualityVarType.SPECIES: - self._variables.add_item_to_group("species", name, __variable) - self._inital_qual_dict[name] = dict( - global_value=None, nodes=dict(), links=dict() - ) - self._source_dict[name] = dict() - elif typ is QualityVarType.CONST: - self._variables.add_item_to_group("constants", name, __variable) - elif typ is QualityVarType.PARAM: - self._variables.add_item_to_group("parameters", name, __variable) - elif typ is QualityVarType.TERM: - self._variables.add_item_to_group("terms", name, __variable) - else: - self._variables.add_item_to_group(None, name, __variable) + self._options = value def add_species( self, - species_type: Union[str, int, SpeciesType], name: str, + species_type: SpeciesType, units: str, atol: float = None, rtol: float = None, - note: str = None, + *, + note: Any = None, + diffusivity: float = None, + pipe_reaction: dict = None, + tank_reaction: dict = None, ) -> Species: - """Add a new species to the model. - The atol and rtol parameters must either both be omitted or both be provided. + """Add a species to the model - Parameters - ---------- - species_type : BULK | WALL - the type of species + Arguments + --------- name : str - the name/symbol of the species + _description_ + species_type : SpeciesType + _description_ units : str - the unit of concentration used + _description_ atol : float, optional - the absolute tolerance for the solver for this species, by default None (global value) + _description_, by default None rtol : float, optional - the relative tolerance fot the solver for this species, by default None (global value) - note : str, optional - a note or comment about this species, by default None + _description_, by default None + + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + diffusivity : float, optional + Diffusivity in water for this species. + pipe_reaction : dict, optional + A dictionary that can be passed to the species' reaction builder + tank_reaction : dict, optional + A dictionary that can be passed to the species' reaction builder Returns ------- Species - the new species object + _description_ Raises ------ - ValueError - if species_type is invalid - VariableNameExistsError - if a variable with this name already exists in the model - TypeError - if atol and rtol are not both None or both a float + KeyError + _description_ """ - species_type = SpeciesType.get(species_type) - if species_type not in [SpeciesType.BULK, SpeciesType.WALL]: - raise ValueError( - "Species must be BULK or WALL, got {:s}".format(species_type) - ) - if self._is_variable_registered(name): - raise KeyExistsError( - "The variable {} already exists in this model".format(name) + if name in self._vars: + raise KeyError( + "Variable named {} already exists in model as type {}".format(name, self._vars._vars.get_groupname(name)) ) - if (atol is None) ^ (rtol is None): - raise TypeError( - "atol and rtol must be the same type, got {} and {}".format(atol, rtol) - ) - var = Species( - species_type=species_type, + species_type = SpeciesType.get(species_type, allow_none=False) + iq = self.net.new_quality_values(name) + new = Species( name=name, + species_type=species_type, units=units, atol=atol, rtol=rtol, note=note, - _qm=self, + _vars=self._vars, + _vals=iq, + diffusivity=diffusivity, + pipe_reaction=pipe_reaction, + tank_reaction=tank_reaction, ) - self._species[name] = var - self._inital_qual_dict[name] = dict( - [("global", None), ("nodes", dict()), ("links", dict())] - ) - self._source_dict[name] = dict() - return var - - def add_bulk_species( - self, - name: str, - units: str, - atol: float = None, - rtol: float = None, - note: str = None, - ) -> Species: - """Add a new bulk species to the model. - The atol and rtol parameters must either both be omitted or both be provided. - - Parameters - ---------- - name : str - the name/symbol of the species - units : str - the unit of concentration used - atol : float, optional - the absolute tolerance for the solver for this species, by default None (global value) - rtol : float, optional - the relative tolerance fot the solver for this species, by default None (global value) - note : str, optional - a note or comment about this species, by default None + self.vars.add_variable(new) + return new - Returns - ------- - Species - the new species object + def remove_species(self, species): + """Remove a species from the model. - Raises - ------ - VariableNameExistsError - if a variable with this name already exists in the model - TypeError - if atol and rtol are not both None or both a float + Arguments + --------- + species : _type_ + _description_ """ - return self.add_species(SpeciesType.BULK, name, units, atol, rtol, note) + name = str(species) + self.net.remove_species(name) + # FIXME: validate additional items + self.vars.__delitem__(name) - def add_wall_species( - self, - name: str, - units: str, - atol: float = None, - rtol: float = None, - note: str = None, - ) -> Species: - """Add a new wall species to the model. - The atol and rtol parameters must either both be omitted or both be provided. + def add_constant(self, name: str, value: float, *, units: str = None, note: Any = None) -> Constant: + """Add a constant coefficient to the model. - Parameters - ---------- + Arguments + --------- name : str - the name/symbol of the species - units : str - the unit of concentration used - atol : float, optional - the absolute tolerance for the solver for this species, by default None (global value) - rtol : float, optional - the relative tolerance fot the solver for this species, by default None (global value) - note : str, optional - a note or comment about this species, by default None + _description_ + value : float + _description_ - Returns - ------- - Species - the new species object - - Raises - ------ - VariableNameExistsError - if a variable with this name already exists in the model - TypeError - if atol and rtol are not both None or both a float - """ - return self.add_species(SpeciesType.WALL, name, units, atol, rtol, note) - - def add_coefficient( - self, - coeff_type: Union[str, int, QualityVarType], - name: str, - global_value: float, - note: str = None, - units: str = None, - **kwargs, - ) -> Union[Constant, Parameter]: - """Add a new coefficient to the model. - - Parameters - ---------- - coeff_type : CONST or PARAM - the type of coefficient to add - name : str - the name/symbol of the coefficient - global_value : float - the global value for the coefficient - note : str, optional - a note or comment about this coefficient, by default None + Keyword Arguments + ----------------- units : str, optional - a unit for this coefficient, by default None - kwargs : other keyword arguments - certain coefficient classes have additional arguments. If specified, - these will be passed to the constructor for the relevant class. + _description_, by default None + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Returns ------- - Coefficient - the new coefficient object + Constant + _description_ Raises ------ - ValueError - if the coeff_type is invalid - VariableNameExistsError - if a variable with this name already exists in the model + KeyError + _description_ """ - coeff_type = QualityVarType.get(coeff_type) - if coeff_type not in [QualityVarType.CONST, QualityVarType.PARAM]: - raise ValueError( - "coeff_type must be CONST or PARAM, got {:s}".format(coeff_type) + if name in self._vars: + raise KeyError( + "Variable named {} already exists in model as type {}".format(name, self._vars._vars.get_groupname(name)) ) - if self._is_variable_registered(name): - raise KeyExistsError( - "The variable {} already exists in this model".format(name) - ) - if coeff_type is QualityVarType.CONST: - return self.add_constant( - name=name, global_value=global_value, note=note, units=units - ) - else: - return self.add_parameter( - name=name, global_value=global_value, note=note, units=units, **kwargs - ) - - def add_constant( - self, name: str, global_value: float, note: str = None, units: str = None - ) -> Constant: - """Add a new constant coefficient to the model. - - Parameters - ---------- - coeff_type : CONST or PARAM - the type of coefficient to add - name : str - the name/symbol of the coefficient - global_value : float - the global value for the coefficient - note : str, optional - a note or comment about this coefficient, by default None - units : str, optional - units for this coefficient, by default None + new = Constant(name=name, value=value, units=units, note=note, _vars=self._vars) + self.vars.add_variable(new) + return new - Returns - ------- - Coefficient - the new coefficient object + def remove_constant(self, const): + """Remove a constant coefficient from the model. - Raises - ------ - ValueError - if the coeff_type is invalid - VariableNameExistsError - if a variable with this name already exists in the model + Arguments + --------- + const : _type_ + _description_ """ - if self._is_variable_registered(name): - raise KeyExistsError( - "The variable {} already exists in this model".format(name) - ) - var = Constant( - name=name, global_value=global_value, note=note, units=units, _qm=self - ) - self._constants[name] = var - return var + name = str(const) + # FIXME: validate deletion + self.vars.__delitem__(name) - def add_parameter( - self, - name: str, - global_value: float, - note: str = None, - units: str = None, - pipe_values: Dict[str, float] = None, - tank_values: Dict[str, float] = None, - ) -> Parameter: - """Add a new parameterized coefficient (based on pipe/tank name) to the model. + def add_parameter(self, name: str, global_value: float, *, units: str = None, note: Any = None) -> Parameter: + """Add a parameterized coefficient to the model. - Parameters - ---------- - coeff_type : CONST or PARAM - the type of coefficient to add + Arguments + --------- name : str - the name/symbol of the coefficient + _description_ global_value : float - the global value for the coefficient - note : str, optional - a note or comment about this coefficient, by default None - units: str, optional - a unit for this coefficient, by default None - pipe_values : dict, optional - values for this coefficient in specifically named pipes - tank_values : dict, optional - values for this coefficient in specifically named tanks + _description_ - Returns - ------- - Coefficient - the new coefficient object - - Raises - ------ - ValueError - if the coeff_type is invalid - VariableNameExistsError - if a variable with this name already exists in the model - """ - if self._is_variable_registered(name): - raise KeyExistsError( - "The variable {} already exists in this model".format(name) - ) - var = Parameter( - name=name, - global_value=global_value, - note=note, - units=units, - pipe_values=pipe_values, - tank_values=tank_values, - _qm=self, - ) - self._params[name] = var - return var - - def add_other_term(self, name: str, expression: str, note: str = None) -> OtherTerm: - """Add a new user-defined function to the model. - In EPANET-MSX, these variables are called 'TERMS', and serve as shortcut aliases - to simplify reaction expressions that would otherwise become very hard to read/write - on a single line (a requirement in EPANET-MSX input files). Because 'term' is - ambiguous, this will be referred to as a 'other term' or 'simplifying term'. - - Parameters - ---------- - name : str - the name/symbol for this function (an MSX 'term') - expression : str - the symbolic expression for this function - note : str, optional - a note or comment about this function, by default None + Keyword Arguments + ----------------- + units : str, optional + _description_, by default None + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Returns ------- - UserFunction - the new function or simplyifying term object + Parameter + _description_ Raises ------ - VariableNameExistsError - if a variable with this name already exists in the model + KeyError + _description_ """ - if self._is_variable_registered(name): - raise KeyExistsError( - "The variable {} already exists in this model".format(name) + if name in self._vars: + raise KeyError( + "Variable named {} already exists in model as type {}".format(name, self._vars._vars.get_groupname(name)) ) - var = OtherTerm(name=name, expression=expression, note=note, _qm=self) - self._terms[name] = var - return var + pv = self.net.new_parameter_values(name) + new = Parameter(name=name, global_value=global_value, units=units, note=note, _vars=self._vars, _vals=pv) + self.vars.add_variable(new) + return new - def remove_variable(self, name: str): - """Remove a variable from the model. + def remove_parameter(self, param): + """Remove a parameterized coefficient from the model. - Parameters - ---------- - name : str - variable name + Arguments + --------- + param : _type_ + _description_ """ - if name in self._inital_qual_dict.keys(): - self._inital_qual_dict.__delitem__(name) - if name in self._source_dict.keys(): - self._source_dict.__delitem__(name) - return self._variables.__delitem__(name) + name = str(param) + self.net.remove_parameter(name) + # FIXME: validate additional items + self.vars.__delitem__(name) - def get_variable(self, name: str) -> AbstractVariable: - """Get a variable based on its name (symbol). + def add_term(self, name: str, expression: str, *, note: Any = None) -> Term: + """Add a named expression (term) to the model. - Parameters - ---------- + Arguments + --------- name : str - The variable name + _description_ + expression : str + _description_ + + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Returns ------- - ReactionVariable - the variable with the name in question + Term + _description_ Raises ------ KeyError - a variable with that name does not exist + _description_ """ - return self._variables[name] - - def reactions(self, location: LocationType = None): - """A generator for iterating through reactions in the model. + if name in self._vars: + raise KeyError( + "Variable named {} already exists in model as type {}".format(name, self._vars._vars.get_groupname(name)) + ) + new = Term(name=name, expression=expression, note=note, _vars=self._vars) + self.vars.add_variable(new) + return new - Parameters - ---------- - location : RxnLocationType, optional - limit results to reactions within location, by default None + def remove_term(self, term): + """Remove a named expression (term) from the model. - Yields - ------ - ReactionDynamics - a reaction defined within the model + Arguments + --------- + term : _type_ + _description_ """ - location = LocationType.get(location) - if location is None or location is LocationType.PIPE: - for v in self._pipe_rxns.values(): - yield v - if location is None or location is LocationType.TANK: - for v in self._tank_rxns.values(): - yield v + name = str(term) + # FIXME: validate deletion + self.vars.__delitem__(name) def add_reaction( - self, - location: LocationType, - species: Union[str, Species], - dynamics: Union[str, int, DynamicsType], - expression: str, - note: str = None, - ): - """Add a multispecies water quality reaction to the model. + self, species: Species, location: LocationType, dynamics_type: DynamicsType, expression: str, *, note: Any = None + ) -> WaterQualityReaction: + """Add a reaction to a species in the model. - Parameters - ---------- - location : LocationType - where the reaction is taking place - species : Union[str, Species] - the species with the dynamics that are being described - dynamics : Union[str, int, DynamicsType] - the type of reaction dynamics used to describe this species changes through time - expression : str - the right-hand-side of the reaction dynamics equation - note : str, optional - a note about this reaction, by default None + Note that all species need to have both a pipe and tank reaction defined unless all species are bulk species and + the tank reactions are identical to the pipe reactions. However, it is not recommended that users take this approach. - Returns - ------- - ReactionDynamics - the resulting reaction object + Once added, access the reactions from the species' object. - Raises - ------ - ValueError - species does not exist - RuntimeError - species already has reaction defined FIXME: this should be an MSX error - ValueError - invalid dynamics type - ValueError - invalid location type - """ - # TODO: accept a "both" or "all" value for location - location = LocationType.get(location) - species = str(species) - if species not in self._species.keys(): - raise ValueError( - "The species {} does not exist in the model, failed to add reaction.".format( - species - ) - ) - _key = species # = AbstractReaction.to_key(species, location) - if (location is LocationType.PIPE and _key in self._pipe_rxns.keys()) or ( - location is LocationType.TANK and _key in self._tank_rxns.keys() - ): - raise RuntimeError("The species {} already has a {} reaction defined.") - dynamics = DynamicsType.get(dynamics) - new = None - if dynamics is DynamicsType.EQUIL: - new = EquilibriumDynamics( - species=species, - location=location, - expression=expression, - note=note, - _qm=self, - ) - elif dynamics is DynamicsType.RATE: - new = RateDynamics( - species=species, - location=location, - expression=expression, - note=note, - _qm=self, - ) - elif dynamics is DynamicsType.FORMULA: - new = FormulaDynamics( - species=species, - location=location, - expression=expression, - note=note, - _qm=self, - ) - else: - raise ValueError("Invalid dynamics type, {}".format(dynamics)) - if location is LocationType.PIPE: - self._pipe_rxns[str(new)] = new - elif location is LocationType.TANK: - self._tank_rxns[str(new)] = new - else: - raise ValueError("Invalid location type, {}".format(location)) - return new - - def add_pipe_reaction( - self, - species: Union[str, Species], - dynamics: Union[str, int, DynamicsType], - expression: str, - note: str = None, - ) -> AbstractReaction: - """Add a pipe reaction. See also :meth:`add_reaction`. - - Parameters - ---------- - species : Union[str, Species] - the species with the dynamics that are being described - dynamics : Union[str, int, DynamicsType] - the type of reaction dynamics used to describe this species changes through time + Arguments + --------- + species : Species + _description_ + location : LocationType + _description_ + dynamics_type : DynamicsType + _description_ expression : str - the right-hand-side of the reaction dynamics equation - note : str, optional - a note about this reaction, by default None + _description_ - Returns - ------- - ReactionDynamics - the reaction object - """ - return self.add_reaction( - LocationType.PIPE, - species=species, - dynamics=dynamics, - expression=expression, - note=note, - ) - - def add_tank_reaction( - self, - species: Union[str, Species], - dynamics: Union[str, int, DynamicsType], - expression: str, - note: str = None, - ) -> AbstractReaction: - """Add a pipe reaction. See also :meth:`add_reaction`. - - Parameters - ---------- - species : Union[str, Species] - the species with the dynamics that are being described - dynamics : Union[str, int, DynamicsType] - the type of reaction dynamics used to describe this species changes through time - expression : str - the right-hand-side of the reaction dynamics equation - note : str, optional - a note about this reaction, by default None + Keyword Arguments + ----------------- + note : str | dict | ENcomment, optional + Supplementary information regarding this reaction, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Returns ------- - ReactionDynamics - the reaction object - """ - return self.add_reaction( - LocationType.TANK, - species=species, - dynamics=dynamics, - expression=expression, - note=note, - ) - - def remove_reaction( - self, - species: Union[str, Species], - location: Union[str, int, LocationType, Literal["all"]], - ): - """Remove a reaction for a species from the model - - Parameters - ---------- - species : str or Species - the species to remove a reaction for - location : str, int, LocationType or 'all' - the location of the reaction to delete, with 'all' meaning both wall and pipe reactions + MultispeciesReaction + _description_ Raises ------ - ValueError - if the value for `location` is invalid + TypeError + _description_ """ - if location != "all": - location = LocationType.get(location) species = str(species) - if location is None: - raise TypeError( - 'location cannot be None when removing a reaction. Use "all" for all locations.' - ) - elif location == "all": - name = AbstractReaction.to_key(species, LocationType.PIPE) - try: - self._pipe_rxns.__delitem__(name) - except KeyError: - pass - name = AbstractReaction.to_key(species, LocationType.TANK) - try: - self._tank_rxns.__delitem__(name) - except KeyError: - pass - elif location is LocationType.PIPE: - name = AbstractReaction.to_key(species, LocationType.PIPE) - try: - self._pipe_rxns.__delitem__(name) - except KeyError: - pass - elif location is LocationType.TANK: - name = AbstractReaction.to_key(species, LocationType.TANK) - try: - self._tank_rxns.__delitem__(name) - except KeyError: - pass - else: - raise ValueError("Invalid location, {}".format(location)) - - def get_reaction(self, species, location): - """Get a reaction for a species at either a pipe or tank. + species = self.vars.species[species] + if species.var_type is not QualityVarType.SPECIES: + raise TypeError("Variable {} is not a Species, is a {}".format(species, species.var_type)) + if isinstance(location, str): + location.replace("_reaction", "") + location = LocationType.get(location, allow_none=False) + dynamics_type = DynamicsType.get(dynamics_type, allow_none=False) + return species.add_reaction(location=location, dynamics_type=dynamics_type, expression=expression, note=note) + + def remove_reaction(self, species: str, location: LocationType) -> None: + """Remove a reaction at a specified location from a species. Parameters ---------- - species : str or Species - the species to get a reaction for - location : str, int, or LocationType - the location of the reaction - - Returns - ------- - ReactionDynamics - the requested reaction object + species : str + the species name to remove the reaction from + location : LocationType + the location to remove the reaction from """ - if species is None: - raise TypeError("species must be a string or Species") - if location is None: - raise TypeError("location must be a string, int, or LocationType") + location = LocationType.get(location, allow_none=False) species = str(species) - location = LocationType.get(location) - if location == LocationType.PIPE: - return self._pipe_rxns.get(species) - elif location == LocationType.TANK: - return self._tank_rxns.get(species) + spec_obj = self.vars.species[species] + if location is LocationType.PIPE: + spec_obj.pipe_reaction = None + elif location is LocationType.TANK: + spec_obj.tank_reaction = None + else: + raise ValueError("Unknown location, {}".format(location)) - def init_printing(self, *args, **kwargs): - """Call sympy.init_printing""" - init_printing(*args, **kwargs) + @property + def species_name_list(self) -> List[str]: + """all defined species names""" + return list(self.vars.species.keys()) @property - def references(self) -> List[Union[str, dict]]: - """A list of citation strings or dict objects. - """ - return self._references + def constant_name_list(self) -> List[str]: + """all defined coefficient names""" + return list(self.vars.constants.keys()) @property - def options(self) -> MultispeciesOptions: - """The multispecies reaction model options.""" - return self._options + def parameter_name_list(self) -> List[str]: + """all defined coefficient names""" + return list(self.vars.parameters.keys()) - @options.setter - def options(self, value): - if isinstance(value, dict): - self._options = MultispeciesOptions.factory(value) - elif not isinstance(value, MultispeciesOptions): - raise TypeError( - "Expected a MultispeciesOptions object, got {}".format(type(value)) - ) - else: - self._options = value + @property + def term_name_list(self) -> List[str]: + """all defined function (MSX 'terms') names""" + return list(self.vars.terms.keys()) - def link_water_network_model(self, wn: WaterNetworkModel): - self._wn = wn + def to_dict(self): + from wntr import __version__ - def to_dict(self) -> dict: - """Convert this water quality model to a dictionary""" - return wntr.quality.io.to_dict(self) - - def from_dict(self, d) -> dict: - """Append to this water quality model from a dictionary""" - wntr.quality.io.from_dict(d, append=self) - - def __repr__(self): - if self._msxfile or self.name: - return "{}({})".format( - self.__class__.__name__, - repr(self._msxfile) if self._msxfile else repr(self.name), - ) - return super().__repr__() - - def pycode(self): - lines = list() - lines.append("msx = {}()".format(self.__class__.__qualname__)) - lines.append("msx.title = {}".format(repr(self.title))) - for citation in self.references: - lines.append("msx.references.append({})".format(repr(self.references))) - for v in self._species.values(): - lines.append( - "msx.add_species({})".format( - ", ".join( - ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] - ) - ) - ) - for v in self._constants.values(): - lines.append( - "msx.add_constant({})".format( - ", ".join( - ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] - ) - ) - ) - for v in self._params.values(): - lines.append( - "msx.add_parameter({})".format( - ", ".join( - ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] - ) - ) - ) - for v in self._terms.values(): - lines.append( - "msx.add_other_term({})".format( - ", ".join( - ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] - ) - ) - ) - for v in self._pipe_rxns.values(): - lines.append( - "msx.add_pipe_reaction({})".format( - ", ".join( - ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] - ) - ) - ) - for v in self._tank_rxns.values(): - lines.append( - "msx.add_tank_reaction({})".format( - ", ".join( - ["{}={}".format(k, repr(v1)) for k, v1 in v.to_dict().items()] - ) - ) - ) - lines.append("msx.options = {}".format(self.options.to_dict())) - return lines + return dict( + version="wntr-{}".format(__version__), + name=self.name, + title=self.title, + desc=self.desc, + references=self.references.copy(), + variables=self.vars.to_dict(), + net_specific=self.net.to_dict(), + options=self.options.to_dict(), + ) diff --git a/wntr/quality/options.py b/wntr/quality/options.py index d17f49846..1814c9fba 100644 --- a/wntr/quality/options.py +++ b/wntr/quality/options.py @@ -2,12 +2,10 @@ """Options for multispecies reaction models. """ -import re import logging -import copy from typing import Dict, List, Literal, Union -from wntr.network.options import _float_or_None, _int_or_None, _OptionsBase +from wntr.network.options import _OptionsBase logger = logging.getLogger(__name__) From 84e92ea91392fe81a2a4f0c0ec52fc1076933da6 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 27 Oct 2023 09:29:25 -0600 Subject: [PATCH 033/118] Tests still broken, but now fully running MSX --- documentation/advancedqual.rst | 408 +++++++ documentation/apidoc/wntr.quality.io.rst | 7 - documentation/apidoc/wntr.quality.rst | 1 - documentation/apidoc/wntr.utils.citations.rst | 7 - documentation/apidoc/wntr.utils.rst | 1 - documentation/conf.py | 2 +- documentation/index.rst | 1 + documentation/reference.rst | 2 + wntr/epanet/__init__.py | 3 + wntr/epanet/exceptions.py | 295 +++-- wntr/epanet/io.py | 20 +- wntr/epanet/msx/__init__.py | 3 +- wntr/epanet/msx/io.py | 269 +++-- wntr/epanet/msx/toolkit.py | 5 +- wntr/epanet/toolkit.py | 10 + wntr/epanet/util.py | 7 +- wntr/network/io.py | 9 +- wntr/network/model.py | 14 +- .../_library_data/arsenic_chloramine.json | 203 ++++ .../_library_data/batch_chloramine_decay.json | 415 +++++++ wntr/quality/_library_data/lead_ppm.json | 98 ++ wntr/quality/_library_data/nicotine.json | 108 ++ wntr/quality/_library_data/nicotine_ri.json | 158 +++ wntr/quality/base.py | 159 ++- wntr/quality/library.py | 1038 ++++++----------- wntr/quality/multispecies.py | 815 +++++++------ wntr/quality/options.py | 110 +- wntr/sim/epanet.py | 24 +- wntr/tests/test_quality_variables.py | 96 +- wntr/utils/citations.py | 337 ------ wntr/utils/enumtools.py | 72 +- 31 files changed, 2812 insertions(+), 1885 deletions(-) create mode 100644 documentation/advancedqual.rst delete mode 100644 documentation/apidoc/wntr.quality.io.rst delete mode 100644 documentation/apidoc/wntr.utils.citations.rst create mode 100644 wntr/quality/_library_data/arsenic_chloramine.json create mode 100644 wntr/quality/_library_data/batch_chloramine_decay.json create mode 100644 wntr/quality/_library_data/lead_ppm.json create mode 100644 wntr/quality/_library_data/nicotine.json create mode 100644 wntr/quality/_library_data/nicotine_ri.json delete mode 100644 wntr/utils/citations.py diff --git a/documentation/advancedqual.rst b/documentation/advancedqual.rst new file mode 100644 index 000000000..54d58149b --- /dev/null +++ b/documentation/advancedqual.rst @@ -0,0 +1,408 @@ +.. raw:: latex + + \clearpage + +.. _advanced_simulation: + +Advanced water quality techniques +================================= + +This section describes several advanced simulation techniques using WNTR with MSX. + + + +.. _msx_example1_lead: + +Example 1: plumbosolvency of lead +--------------------------------- + +This model is described in [BWMS20]_, and represents plumbosolvency of lead in lead pipes +within a dwelling. +In this case, we will not assume that a water network model has been made for the dwelling, yet. + +Model creation +~~~~~~~~~~~~~~ + +We create a new model, give it a name, title, and description, and we add the reference +for the paper this model was described in. + +.. doctest:: + + >>> import wntr.quality + >>> msx = wntr.quality.MultispeciesQualityModel() + >>> msx.name = "lead_ppm" + >>> msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" + >>> msx.desc = "Parameters for EPA HPS Simulator Model" + >>> msx.references.append( + ... """J. B. Burkhardt, et al. (2020) https://doi.org/10.1061/(asce)wr.1943-5452.0001304""" + ... ) + >>> msx + MultispeciesQualityModel(name='lead_ppm') + +Next, we will update certain options. + +.. doctest:: + + >>> msx.options = { + ... "report": { + ... "species": {"PB2": "YES"}, + ... "species_precision": {"PB2": 5}, + ... "nodes": "all", + ... "links": "all", + ... }, + ... "timestep": 1, + ... "area_units": "M2", + ... "rate_units": "SEC", + ... "rtol": 1e-08, + ... "atol": 1e-08, + ... } + + +Adding variables +~~~~~~~~~~~~~~~~ +The variables that are needed for a multispecies reaction system are: species, coefficients, and terms. +These are used in expressions to define the dynamics of the reaction. All variables have at least two +attributes: their name and a note. The variable name must be a valid EPANET-MSX id, which primarily +means no spaces are permitted. However, it may be useful to ensure that the name is a valid python +variable name, so that it can be used to identify the variable in your code as well. The note can be +a string, a dictionary with the keys "pre" and "post", or an :class:`~wntr.epanet.util.ENcomment` object +(which has a "pre" and "post" attribute). See the ENcomment documentation for details on the meaning; +in this example we will use the string form of the note. + +-------------- + +There is only one species defined in this model, which is dissolved lead. + +======================== =============== ================================= ======================== +Name Type Units Note +------------------------ --------------- --------------------------------- ------------------------ +:math:`Pb` bulk species :math:`\mathrm{μg}_\mathrm{(Pb)}` dissolved lead +======================== =============== ================================= ======================== + +To add this species to the model, we can use the model's :meth:`~wntr.quality.multispecies.MultispeciesQualityModel.add_species` +method. +The method arguments are the name, the species_type (which can either be "bulk" or "wall"), the units, +and an optional note. +This method will add the new species to the model and also return a copy of the new species object. + +.. doctest:: + + >>> msx.add_species(name="PB2", species_type='bulk', units="ug", note="dissolved lead (Pb)") + Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') + +The new species can be accessed by using the item's name and indexing on the model's +:attr:`~wntr.quality.multispecies.MultispeciesQualityModel.reaction_system` attribute. + + >>> PB2 = msx.reaction_system['PB2'] + >>> PB2 + Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') + +-------------- + +There are two different types of coefficients that can be used in reaction expressions: constants +and parameters. Constants have a single value in every expression. Parameters have a global value +that is used by default, but which can be modified on a per-pipe or per-tank basis. This model +has two constants and one parameter. + +=============== =============== =============== ================================= ======================== +Type Name Value Units Note +--------------- --------------- --------------- --------------------------------- ------------------------ +constant :math:`M` 0.117 :math:`\mathrm{μg~m^{-2}~s^{-1}}` desorption rate +constant :math:`E` 140.0 :math:`\mathrm{μg~L^{-1}}` saturation level +parameter :math:`F` 0 `n/a` is pipe made of lead? +=============== =============== =============== ================================= ======================== + +We can add these to the model as follows: + +.. doctest:: + + >>> msx.add_constant("M", value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") + >>> msx.add_constant("E", value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") + >>> msx.add_parameter("F", global_value=0, note="determines which pipes have reactions") + + +Adding reactions +~~~~~~~~~~~~~~~~ + +All species must have two reactions defined for the model to be run successfully in EPANET-MSX by WNTR. +One is a pipe reaction, the other is a tank reaction. In this case, we only have a reactions within +pipes, so we need to set the tank reaction to be unchanging. The system of equations is: + +.. math:: + + \frac{d}{dt}Pb_p &= F_p \, Av_p \, M \frac{\left( E - Pb_p \right)}{E}, &\quad\text{for all pipes}~p~\text{in network} \\ + \frac{d}{dt}Pb_t &= 0, & \quad\text{for all tanks}~t~\text{in network} + +Note that the pipe reaction has a variable that we have not defined, :math:`Av`, in its expression; +this variable is a pre-defined hydraulic variable. The list of these variables can be found in +the EPANET-MSX documentation, and also in the :attr:`~wntr.quality.base.HYDRAULIC_VARIABLES` +documentation. The reactions can be described in WNTR as + +================ ============== ========================================================================== +Reaction type Dynamics type Reaction expression +---------------- -------------- -------------------------------------------------------------------------- +pipe rate :math:`F \cdot Av \cdot M \cdot \left( E - Pb \right) / E` +tank rate :math:`0` +================ ============== ========================================================================== + +and then added to the reaction model using the :meth:`~wntr.quality.multispecies.MultispeciesQualityModel.add_reaction` +method. + +.. doctest:: + + >>> msx.add_reaction("PB2", "pipe", "RATE", expression="F * Av * M * (E - PB2) / E") + >>> msx.add_reaction(PB2, "tank", "rate", expression="0") + + + +Example 2: arsenic oxidation and adsorption +------------------------------------------- + +This example models monochloramine oxidation of arsenite/arsenate and wall +adsorption/desorption, as given in section 3 of the EPANET-MSX user manual [SRU23]_. +First, the model +will be restated here and then the code to create the model in wntr will be shown. + +Model Description +~~~~~~~~~~~~~~~~~ + +The system of equations for the reaction in pipes is given in Eq. (2.4) through (2.7) +in [SRU23]_. This is a simplified model, taken from [GSCL94]_. + +.. math:: + + \frac{d}{dt}{(\mathsf{As}^\mathrm{III})} &= -k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2Cl})} \\ + \frac{d}{dt}{(\mathsf{As}^\mathrm{V})} &= k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2CL})} - Av \left( k_1 \left(S_\max - {(\mathsf{As}^\mathrm{V}_s)} \right) {(\mathsf{As}^\mathrm{V})} - k_2 ~ {(\mathsf{As}^\mathrm{V}_s)} \right) \\ + \frac{d}{dt}{(\mathsf{NH_2Cl})} &= -k_b ~ {(\mathsf{NH_2Cl})} \\ + {(\mathsf{As}^\mathrm{V}_s)} &= \frac{k_s ~ S_\max ~ {(\mathsf{As}^\mathrm{V})}}{1 + k_s {(\mathsf{As}^\mathrm{V})}} + + +where the various species, coefficients, and expressions are described in the tables below. + + +.. list-table:: Options + :header-rows: 1 + :widths: 3 3 10 + + * - Option + - Code + - Description + * - Rate units + - "HR" + - :math:`\mathrm{h}^{-1}` + * - Area units + - "M2" + - :math:`\mathrm{m}^2` + + +.. list-table:: Species + :header-rows: 1 + :widths: 2 2 2 3 4 6 + + * - Name + - Type + - Value + - Symbol + - Units + - Note + * - AS3 + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{III}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenite + * - AS5 + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{V}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenate + * - AStot + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{tot}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenic (total) + * - NH2CL + - Bulk + - "MG" + - :math:`{\mathsf{NH_2Cl}}` + - :math:`\mathrm{mg~L^{-1}}` + - dissolved monochloramine + * - AS5s + - Wall + - "UG" + - :math:`{\mathsf{As}^\mathrm{V}_{s}}` + - :math:`\require{upgreek}\upmu\mathrm{g}~\mathrm{m}^{-2}` + - adsorped arsenate (surface) + + +.. list-table:: Coefficients + :header-rows: 1 + :widths: 2 2 2 3 4 6 + + * - Name + - Type + - Value + - Symbol + - Units + - Note + * - Ka + - Const + - :math:`10` + - :math:`k_a` + - :math:`\mathrm{mg}^{-1}_{\left(\mathsf{NH_2Cl}\right)}~\mathrm{h}^{-1}` + - arsenite oxidation + * - Kb + - Const + - :math:`0.1` + - :math:`k_b` + - :math:`\mathrm{h}^{-1}` + - chloromine decay + * - K1 + - Const + - :math:`5.0` + - :math:`k_1` + - :math:`\require{upgreek}\textrm{L}~\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{h}^{-1}` + - arsenate adsorption + * - K2 + - Const + - :math:`1.0` + - :math:`k_2` + - :math:`\textrm{L}~\mathrm{h}^{-1}` + - arsenate desorption + * - Smax + - Const + - :math:`50.0` + - :math:`S_{\max}` + - :math:`\require{upgreek}\upmu\mathrm{g}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{m}^{-2}` + - arsenate adsorption limit + + +.. list-table:: Other terms + :header-rows: 1 + :widths: 3 3 2 3 10 + + * - Name + - Symbol + - Expression + - Units + - Note + * - Ks + - :math:`k_s` + - :math:`{k_1}/{k_2}` + - :math:`\require{upgreek}\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}` + - equilibrium adsorption coefficient + + +.. list-table:: Pipe reactions + :header-rows: 1 + :widths: 3 3 16 + + * - Species + - Type + - Expression + * - AS3 + - Rate + - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - AS5 + - Rate + - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}} -Av \left( k_1 \left(S_{\max}-{\mathsf{As}^\mathrm{V}_{s}} \right) {\mathsf{As}^\mathrm{V}} - k_2 \, {\mathsf{As}^\mathrm{V}_{s}} \right)` + * - NH2CL + - Rate + - :math:`-k_b \, {\mathsf{NH_2Cl}}` + * - AStot + - Formula + - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` + * - AS5s + - Equil + - :math:`k_s \, S_{\max} \frac{{\mathsf{As}^\mathrm{V}}}{1 + k_s \, {\mathsf{As}^\mathrm{V}}} - {\mathsf{As}^\mathrm{V}_{s}}` + + +.. list-table:: Tank reactions + :header-rows: 1 + :widths: 3 3 16 + + * - Species + - Type + - Expression + * - AS3 + - Rate + - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - AS5 + - Rate + - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - NH2CL + - Rate + - :math:`-k_b \, {\mathsf{NH_2Cl}}` + * - AStot + - Formula + - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` + * - AS5s + - Equil + - :math:`0` (`not present in tanks`) + + +Creation in WNTR +~~~~~~~~~~~~~~~~ + +.. doctest:: + + >>> msx = wntr.quality.MultispeciesQualityModel() + >>> msx.name = "arsenic_chloramine" + >>> msx.title = "Arsenic Oxidation/Adsorption Example" + >>> msx.references.append(wntr.quality.library.cite_msx()) + >>> AS3 = msx.add_species(name="AS3", species_type="BULK", units="UG", note="Dissolved arsenite") + >>> AS5 = msx.add_species(name="AS5", species_type="BULK", units="UG", note="Dissolved arsenate") + >>> AStot = msx.add_species(name="AStot", species_type="BULK", units="UG", note="Total dissolved arsenic") + >>> AS5s = msx.add_species(name="AS5s", species_type="WALL", units="UG", note="Adsorbed arsenate") + >>> NH2CL = msx.add_species(name="NH2CL", species_type="BULK", units="MG", note="Monochloramine") + >>> Ka = msx.add_constant("Ka", 10.0, units="1 / (MG * HR)", note="Arsenite oxidation rate coefficient") + >>> Kb = msx.add_constant("Kb", 0.1, units="1 / HR", note="Monochloramine decay rate coefficient") + >>> K1 = msx.add_constant("K1", 5.0, units="M^3 / (UG * HR)", note="Arsenate adsorption coefficient") + >>> K2 = msx.add_constant("K2", 1.0, units="1 / HR", note="Arsenate desorption coefficient") + >>> Smax = msx.add_constant("Smax", 50.0, units="UG / M^2", note="Arsenate adsorption limit") + >>> Ks = msx.add_term(name="Ks", expression="K1/K2", note="Equil. adsorption coeff.") + >>> _ = msx.add_reaction( + ... species_name="AS3", reaction_type="pipes", dynamics_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" + ... ) + >>> _ = msx.add_reaction( + ... "AS5", "pipes", "rate", "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", note="Arsenate production less adsorption" + ... ) + >>> _ = msx.add_reaction( + ... species_name="NH2CL", reaction_type="pipes", dynamics_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" + ... ) + >>> _ = msx.add_reaction("AS5s", "pipe", "equil", "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", note="Arsenate adsorption") + >>> _ = msx.add_reaction( + ... species_name="AStot", reaction_type="pipes", dynamics_type="formula", expression="AS3 + AS5", note="Total arsenic" + ... ) + >>> _ = msx.add_reaction( + ... species_name="AS3", reaction_type="tank", dynamics_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" + ... ) + >>> _ = msx.add_reaction( + ... species_name="AS5", reaction_type="tank", dynamics_type="rate", expression="Ka*AS3*NH2CL", note="Arsenate production" + ... ) + >>> _ = msx.add_reaction( + ... species_name="NH2CL", reaction_type="tank", dynamics_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" + ... ) + >>> _ = msx.add_reaction( + ... species_name="AStot", reaction_type="tanks", dynamics_type="formula", expression="AS3 + AS5", note="Total arsenic" + ... ) + >>> msx.options.area_units = "M2" + >>> msx.options.rate_units = "HR" + >>> msx.options.rtol = 0.001 + >>> msx.options.atol = 0.0001 + + +References +---------- + +.. [BWMS20] + J. B. Burkhardt, et al. (2020) + "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". + `Journal of Water Resources Planning and Management`. + **146** (12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304. PMID:33627937. + +.. [GSCL94] + B. Gu, J. Schmitt, Z. Chen, L. Liang, and J.F. McCarthy. "Adsorption and desorption of + natural organic matter on iron oxide: mechanisms and models". Environ. Sci. Technol., 28:38-46, January 1994. diff --git a/documentation/apidoc/wntr.quality.io.rst b/documentation/apidoc/wntr.quality.io.rst deleted file mode 100644 index 117eedad9..000000000 --- a/documentation/apidoc/wntr.quality.io.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.quality.io module -====================== - -.. automodule:: wntr.quality.io - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.rst b/documentation/apidoc/wntr.quality.rst index db0dbbb19..01d0bdb23 100644 --- a/documentation/apidoc/wntr.quality.rst +++ b/documentation/apidoc/wntr.quality.rst @@ -14,7 +14,6 @@ Submodules :maxdepth: 1 wntr.quality.base - wntr.quality.io wntr.quality.library wntr.quality.multispecies wntr.quality.options diff --git a/documentation/apidoc/wntr.utils.citations.rst b/documentation/apidoc/wntr.utils.citations.rst deleted file mode 100644 index c7de4e437..000000000 --- a/documentation/apidoc/wntr.utils.citations.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.utils.citations module -=========================== - -.. automodule:: wntr.utils.citations - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.rst b/documentation/apidoc/wntr.utils.rst index 14eef2793..f66334b01 100644 --- a/documentation/apidoc/wntr.utils.rst +++ b/documentation/apidoc/wntr.utils.rst @@ -12,7 +12,6 @@ Submodules .. toctree:: - wntr.utils.citations wntr.utils.disjoint_mapping wntr.utils.enumtools wntr.utils.logger diff --git a/documentation/conf.py b/documentation/conf.py index ae2d52802..6520b0233 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -129,7 +129,7 @@ # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True - +html_extra_path = ['extra'] # -- Options for HTML output ---------------------------------------------- diff --git a/documentation/index.rst b/documentation/index.rst index 5ef2fdd51..f7d9e1c42 100644 --- a/documentation/index.rst +++ b/documentation/index.rst @@ -30,6 +30,7 @@ designed to simulate and analyze resilience of water distribution networks. graphics gis advancedsim + advancedqual license whatsnew developers diff --git a/documentation/reference.rst b/documentation/reference.rst index 15f12a23d..6d74bce38 100644 --- a/documentation/reference.rst +++ b/documentation/reference.rst @@ -58,6 +58,8 @@ References .. [SPHC16] Sievert, C., Parmer, C., Hocking, T., Chamberlain, S., Ram, K., Corvellec, M., and Despouy, P. (2016). plotly: Create interactive web graphics via Plotly’s JavaScript graphing library [Software]. +.. [SRU23] Shang, F., Rossman, L. A., Uber, J.G. (2023). EPANET-MSX 2.0 User Manual. U.S. Environmental Protection Agency, Cincinnati, OH. EPA/600/R-22/199. + .. [Todi00] Todini, E. (2000). Looped water distribution networks design using a resilience index based heuristic approach. Urban Water, 2(2), 115-122. .. [USEPA14] United States Environmental Protection Agency. (2014). Systems Measures of Water Distribution System Resilience. Washington DC: U.S. Environmental Protection Agency. U.S. Environmental Protection Agency Technical Report, EPA 600/R--14/383, 58p. diff --git a/wntr/epanet/__init__.py b/wntr/epanet/__init__.py index bcab06872..daea1f9c1 100644 --- a/wntr/epanet/__init__.py +++ b/wntr/epanet/__init__.py @@ -3,3 +3,6 @@ """ from .io import InpFile #, BinFile, HydFile, RptFile from .util import FlowUnits, MassUnits, HydParam, QualParam, EN +import wntr.epanet.toolkit as toolkit +import wntr.epanet.exceptions as exceptions +import wntr.epanet.msx as msx \ No newline at end of file diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index 68a2c3e6d..ede847c16 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -1,18 +1,15 @@ # coding: utf-8 """Exceptions for EPANET toolkit and IO operations.""" -from enum import IntEnum from typing import List -from wntr.utils.enumtools import add_get - EN_ERROR_CODES = { # Runtime errors 1: "At %s, system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials", 2: "At %s, system may be hydraulically unstable - hydraulic convergence was only achieved after the status of all links was held fixed", 3: "At %s, system disconnected - one or more nodes with positive demands were disconnected for all supply sources", 4: "At %s, pumps cannot deliver enough flow or head - one or more pumps were forced to either shut down (due to insufficient head) or operate beyond the maximum rated flow", - 5: "At %s, vavles cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open", + 5: "At %s, valves cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open", 6: "At %s, system has negative pressures - negative pressures occurred at one or more junctions with positive demand", 101: "insufficient memory available", 102: "no network data available", @@ -85,157 +82,133 @@ 309: "cannot save results to report file %s", } """A dictionary of the error codes and their meanings from the EPANET toolkit. -See :class:`EpanetErrorEnum` for the documentation of each code number. + +.. table:: EPANET warnings + + =========== ============================================================================================================================================================================== + *Err No.* *Description* + ----------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ + **1-6** **Simulation warnings** + ----------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ + 1 At `time`, system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials + 2 At `time`, system may be hydraulically unstable - hydraulic convergence was only achieved after the status of all links was held fixed + 3 At `time`, system disconnected - one or more nodes with positive demands were disconnected for all supply sources + 4 At `time`, pumps cannot deliver enough flow or head - one or more pumps were forced to either shut down (due to insufficient head) or operate beyond the maximum rated flow + 5 At `time`, valves cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open + 6 At `time`, system has negative pressures - negative pressures occurred at one or more junctions with positive demand + =========== ============================================================================================================================================================================== + +.. table:: EPANET runtime errors + + =========== ================================================================= + *Err No.* *Description* + ----------- ----------------------------------------------------------------- + **101-120** **Runtime and simulation errors** + ----------- ----------------------------------------------------------------- + 101 insufficient memory available + 102 no network data available + 103 hydraulics not initialized + 104 no hydraulics for water quality analysis + 105 water quality not initialized + 106 no results saved to report on + 107 hydraulics supplied from external file + 108 cannot use external file while hydraulics solver is active + 109 cannot change time parameter when solver is active + 110 cannot solve network hydraulic equations + 120 cannot solve water quality transport equations + =========== ================================================================= + +.. table:: EPANET network errors + + =========== ================================================================= + *Err No.* *Description* + ----------- ----------------------------------------------------------------- + **200-201** **Input file errors (exclusively for input files)** + ----------- ----------------------------------------------------------------- + 200 one or more errors in input file + 201 syntax error + ----------- ----------------------------------------------------------------- + **202-222** **Input file and toolkit errors** + ----------- ----------------------------------------------------------------- + 202 illegal numeric value + 203 undefined node + 204 undefined link + 205 undefined time pattern + 206 undefined curve + 207 attempt to control a CV/GPV link + 208 illegal PDA pressure limits + 209 illegal node property value + 211 illegal link property value + 212 undefined trace node + 213 invalid option value + 214 too many characters in input line + 215 duplicate ID label + 216 reference to undefined pump + 217 pump has no head curve or power defined + 218 `note: error number 218 is undefined in the EPANET 2.2 toolkit` + 219 illegal valve connection to tank node + 220 illegal valve connection to another valve + 221 misplaced rule clause in rule-based control + 222 link assigned same start and end nodes + ----------- ----------------------------------------------------------------- + **223-234** **Network consistency errors (INP-file and/or toolkit)** + ----------- ----------------------------------------------------------------- + 223 not enough nodes in network + 224 no tanks or reservoirs in network + 225 invalid lower/upper levels for tank + 226 no head curve or power rating for pump + 227 invalid head curve for pump + 230 nonincreasing x-values for curve + 233 network has unconnected node + 234 network has an unconnected node with ID `id` + ----------- ----------------------------------------------------------------- + **240-263** **Toolkit-only errors** + ----------- ----------------------------------------------------------------- + 240 nonexistent water quality source + 241 nonexistent control + 250 invalid format (e.g. too long an ID name) + 251 invalid parameter code + 252 invalid ID name + 253 nonexistent demand category + 254 node with no coordinates + 255 invalid link vertex + 257 nonexistent rule + 258 nonexistent rule clause + 259 attempt to delete a node that still has links connected to it + 260 attempt to delete node assigned as a Trace Node + 261 attempt to delete a node or link contained in a control + 262 attempt to modify network structure while a solver is open + 263 node is not a tank + =========== ================================================================= + +.. table:: EPANET file/system errors + + =========== ================================================================= + *Err No.* *Description* + ----------- ----------------------------------------------------------------- + **301-305** **Filename errors** + ----------- ----------------------------------------------------------------- + 301 identical file names used for different types of files + 302 cannot open input file + 303 cannot open report file + 304 cannot open binary output file + 305 cannot open hydraulics file + ----------- ----------------------------------------------------------------- + **306-307** **File structure errors** + ----------- ----------------------------------------------------------------- + 306 hydraulics file does not match network data + 307 cannot read hydraulics file + ----------- ----------------------------------------------------------------- + **308-309** **Filesystem errors** + ----------- ----------------------------------------------------------------- + 308 cannot save results to binary file + 309 cannot save results to report file + =========== ================================================================= + :meta hide-value: """ -@add_get(prefix='ERR_') -class EpanetErrorEnum(IntEnum): - """A list of short phrases that can be used in place of the error code numbers.""" - WARN_UNBALANCED = 1 - """system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials""" - WARN_UNSTABLE = 2 - """system may be hydraulically unstable - hydraulic convergence was only achieved after the status of all links was held fixed""" - WARN_DISCONNECTED = 3 - """system disconnected - one or more nodes with positive demands were disconnected for all supply sources""" - WARN_PUMPS = 4 - """pumps cannot deliver enough flow or head - one or more pumps were forced to either shut down (due to insufficient head) or operate beyond the maximum rated flow""" - WARN_VALVES = 5 - """vavles cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open""" - WARN_PRESSURES = 6 - """system has negative pressures - negative pressures occurred at one or more junctions with positive demand""" - INSUFFICIENT_MEMORY = 101 - """insufficient memory available""" - NO_NETWORK = 102 - """no network data available""" - INIT_HYD = 103 - """hydraulics not initialized""" - NO_HYD = 104 - """no hydraulics for water quality analysis""" - NO_INITQ = 105 - """water quality not initialized""" - NO_RESULTS = 106 - """no results saved to report on""" - HYD_FILE = 107 - """hydraulics supplied from external file""" - HYD_INIT_FILE = 108 - """cannot use external file while hydraulics solver is active""" - MODIFY_TIME = 109 - """cannot change time parameter when solver is active""" - SOLVE_HYD = 110 - """cannot solve network hydraulic equations""" - SOLVE_QUAL = 120 - """cannot solve water quality transport equations""" - INPUT_FILE = 200 - """one or more errors in input file""" - SYNTAX_ERROR = 201 - """syntax error""" - ILLEGAL_NUMBER = 202 - """illegal numeric value""" - UNDEFINED_NODE = 203 - """undefined node""" - UNDEFINED_LINK = 204 - """undefined link""" - UNDEFINED_PATTERN = 205 - """undefined time pattern""" - UNDEFINED_CURVE = 206 - """undefined curve""" - CV_GPV_CONTROL = 207 - """attempt to control a CV/GPV link""" - ILLEGAL_PDA_LIMITS = 208 - """illegal PDA pressure limits""" - ILLEGAL_NODE_PROPERTY = 209 - """illegal node property value""" - ILLEGAL_LINK_PROPERTY = 211 - """illegal link property value""" - UNDEFINED_TRACE = 212 - """undefined trace node""" - INVALID_OPTION_VALUE = 213 - """invalid option value""" - TOO_MANY_CHARS = 214 - """too many characters in input line""" - DUPLICATE_ID = 215 - """duplicate ID label""" - UNDEFINED_PUMP = 216 - """reference to undefined pump""" - INVALID_ENERGY = 217 - """pump has no head curve or power defined""" - ILLEGAL_VALVE_TANK = 219 - """illegal valve connection to tank node""" - ILLEGAL_TANK_VALVE = 219 - """illegal valve connection to tank node""" - ILLEGAL_VALVE_VALVE = 220 - """illegal valve connection to another valve""" - MISPLACED_RULE = 221 - """misplaced rule clause in rule-based control""" - SAME_START_END = 222 - """link assigned same start and end nodes""" - NUM_NODES = 223 - """not enough nodes in network""" - NO_TANKS = 224 - """no tanks or reservoirs in network""" - INVALID_TANK_LEVELS = 225 - """invalid lower/upper levels for tank""" - MISSING_PUMP_OPTION = 226 - """no head curve or power rating for pump""" - INVALID_HEAD_CURVE = 227 - """invalid head curve for pump""" - CURVE_X_NONINCREASING = 230 - """nonincreasing x-values for curve""" - UNCONNECTED_NODE = 233 - """network has unconnected node""" - UNCONNECTED_NODE_ID = 234 - """network has an unconnected node with ID""" - NONEXISTENT_SOURCE = 240 - """nonexistent water quality source""" - NONEXISTENT_CONTROL = 241 - """nonexistent control""" - INVLAID_NAME_FORMAT = 250 - """invalid format (e.g. too long an ID name)""" - INVALID_PARAMETER = 251 - """invalid parameter code""" - INVALID_ID = 252 - """invalid ID name""" - NONEXISTENT_CATEGORY = 253 - """nonexistent demand category""" - MISSING_COORDS = 254 - """node with no coordinates""" - INVALID_VERTEX = 255 - """invalid link vertex""" - NONEXISTENT_RULE = 257 - """nonexistent rule""" - NONEXISTENT_RULE_CLAUSE = 258 - """nonexistent rule clause""" - NODE_STILL_LINKED = 259 - """attempt to delete a node that still has links connected to it""" - NODE_IS_TRACE = 260 - """attempt to delete node assigned as a Trace Node""" - NODE_IN_CONTROL = 261 - """attempt to delete a node or link contained in a control""" - MODIFY_NETWORK = 262 - """attempt to modify network structure while a solver is open""" - NOT_A_TANK = 263 - """node is not a tank""" - SAME_FILENAMES = 301 - """identical file names used for different types of files""" - OPEN_INP_FILE = 302 - """cannot open input file""" - OPEN_RPT_FILE = 303 - """cannot open report file""" - OPEN_BIN_FILE = 304 - """cannot open binary output file""" - OPEN_HYD_FILE = 305 - """cannot open hydraulics file""" - WRONG_HYD_FILE = 306 - """hydraulics file does not match network data""" - READ_HYDRAULICS = 307 - """cannot read hydraulics file""" - SAVE_HYDRAULICS = 308 - """cannot save results to binary file""" - SAVE_REPORT = 309 - """cannot save results to report file""" - class EpanetException(Exception): @@ -244,8 +217,8 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> Parameters ---------- - code : int or str or EpanetErrors - The EPANET error code (int) or a string mapping to the EpanetErrors enum members + code : int + The EPANET error code args : additional non-keyword arguments, optional If there is a string-format within the error code's text, these will be used to replace the format, otherwise they will be output at the end of the Exception message. @@ -254,10 +227,6 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> line : str, optional The contents of the line, by default None """ - try: - code = int(EpanetErrorEnum.get(code)) - except KeyError: - return super().__init__('unknown error code: {}'.format(repr(code)), *args) msg = EN_ERROR_CODES.get(code, 'unknown error') if args is not None: args = [*args] @@ -278,8 +247,8 @@ def __init__(self, code, *args, line_num=None, line=None) -> None: Parameters ---------- - code : int or str or EpanetErrors - The EPANET error code (int) or a string mapping to the EpanetErrors enum members + code : int + The EPANET error code args : additional non-keyword arguments, optional If there is a string-format within the error code's text, these will be used to replace the format, otherwise they will be output at the end of the Exception message. @@ -296,8 +265,8 @@ def __init__(self, code, name, *args, line_num=None, line=None) -> None: Parameters ---------- - code : int or str or EpanetErrors - The EPANET error code (int) or a string mapping to the EpanetErrors enum members + code : int + The EPANET error code name : str The key/name/id that is missing args : additional non-keyword arguments, optional @@ -317,8 +286,8 @@ def __init__(self, code, value, *args, line_num=None, line=None) -> None: Parameters ---------- - code : int or str or EpanetErrors - The EPANET error code (int) or a string mapping to the EpanetErrors enum members + code : int + The EPANET error code value : Any The value that is invalid args : additional non-keyword arguments, optional diff --git a/wntr/epanet/io.py b/wntr/epanet/io.py index 49132efda..1769191de 100644 --- a/wntr/epanet/io.py +++ b/wntr/epanet/io.py @@ -1,5 +1,13 @@ """ The wntr.epanet.io module contains methods for reading/writing EPANET input and output files. + +.. rubric:: Contents + +.. autosummary:: + + InpFile + BinFile + """ from __future__ import absolute_import @@ -140,7 +148,7 @@ def _str_time_to_sec(s): if bool(time_tuple): return int(time_tuple.groups()[0])*60*60 else: - raise ENValueError('invalid-option-value', s) + raise ENValueError(213, s) def _clock_time_to_sec(s, am_pm): @@ -168,7 +176,7 @@ def _clock_time_to_sec(s, am_pm): elif am_pm.upper() == 'PM': am = False else: - raise ENValueError('invalid-option-value', s, 'Ambiguous time of day') + raise ENValueError(213, s, 'Ambiguous time of day') pattern1 = re.compile(r'^(\d+):(\d+):(\d+)$') time_tuple = pattern1.search(s) @@ -180,7 +188,7 @@ def _clock_time_to_sec(s, am_pm): time_sec -= 3600*12 if not am: if time_sec >= 3600*12: - raise ENValueError('invalid-option-value', s, 'Cannot specify am/pm for times greater than 12:00:00') + raise ENValueError(213, s, 'Cannot specify am/pm for times greater than 12:00:00') time_sec += 3600*12 return time_sec else: @@ -193,7 +201,7 @@ def _clock_time_to_sec(s, am_pm): time_sec -= 3600*12 if not am: if time_sec >= 3600 * 12: - raise ENValueError('invalid-option-value', s, 'Cannot specify am/pm for times greater than 12:00:00') + raise ENValueError(213, s, 'Cannot specify am/pm for times greater than 12:00:00') time_sec += 3600*12 return time_sec else: @@ -205,11 +213,11 @@ def _clock_time_to_sec(s, am_pm): time_sec -= 3600*12 if not am: if time_sec >= 3600 * 12: - raise ENValueError('invalid-option-value', s, 'Cannot specify am/pm for times greater than 12:00:00') + raise ENValueError(213, s, 'Cannot specify am/pm for times greater than 12:00:00') time_sec += 3600*12 return time_sec else: - raise ENValueError('invalid-option-value', s, 'Cannot parse time') + raise ENValueError(213, s, 'Cannot parse time') def _sec_to_string(sec): diff --git a/wntr/epanet/msx/__init__.py b/wntr/epanet/msx/__init__.py index 37d0a4a2d..4144ddbcc 100644 --- a/wntr/epanet/msx/__init__.py +++ b/wntr/epanet/msx/__init__.py @@ -1,3 +1,4 @@ """The wntr.epanet.msx package provides EPANET-MSX compatibility functions for WNTR. """ -from .io import MsxFile +from .io import MsxFile, MsxBinFile +from .toolkit import MSXepanet \ No newline at end of file diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index 0f25ab925..1bf2d78a9 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -4,18 +4,17 @@ import datetime import logging import sys -from io import FileIO, TextIOWrapper +from typing import Union import numpy as np import pandas as pd import wntr.network -from wntr.epanet.msx.exceptions import EpanetMsxException +from wntr.epanet.msx.exceptions import EpanetMsxException, MSXValueError from wntr.epanet.util import ENcomment from wntr.network.elements import Source -from wntr.quality.base import LocationType, VariableType -from wntr.quality.multispecies import MultispeciesQualityModel, Parameter, Species -from wntr.utils.citations import Citation +from wntr.quality.base import ReactionType, QualityVarType, SpeciesType +from wntr.quality.multispecies import Constant, MultispeciesQualityModel, Parameter, Species, Term sys_default_enc = sys.getdefaultencoding() @@ -37,7 +36,6 @@ "[DIFFUSIVITY]", "[PATTERNS]", "[REPORT]", - "[END]", ] @@ -101,7 +99,7 @@ def read(cls, msx_filename: str, rxn_model: MultispeciesQualityModel = None): obj.rxn = rxn_model # if not isinstance(msx_file, list): # msx_file = [msx_file] - rxn_model.filename = msx_filename + rxn_model._orig_file = msx_filename obj.patterns = dict() obj.top_comments = [] @@ -170,7 +168,6 @@ def _read(): obj._read_diffusivity() obj._read_patterns() obj._read_report() - obj._read_end() return obj.rxn except Exception as e: raise EpanetMsxException(200) from e @@ -189,7 +186,6 @@ def write(cls, filename: str, msx: MultispeciesQualityModel): obj = cls() obj.rxn = msx with open(filename, "w") as fout: - fout.write("; WNTR-reactions MSX file generated {}\n".format(datetime.datetime.now())) fout.write("\n") obj._write_title(fout) @@ -205,17 +201,8 @@ def write(cls, filename: str, msx: MultispeciesQualityModel): obj._write_parameters(fout) obj._write_patterns(fout) obj._write_report(fout) - obj._write_end(fout) fout.write("; END of MSX file generated by WNTR\n") - def _read_end(self): - pass - - def _write_end(self, fout): - fout.write("[END]\n") - pass - - def _read_title(self): lines = [] title = None @@ -234,8 +221,6 @@ def _read_title(self): self.rxn.desc = comments def _read_options(self): - lines = [] - note = ENcomment() for lnum, line in self.sections["[OPTIONS]"]: vals, comment = _split_line(line) try: @@ -272,7 +257,6 @@ def _read_options(self): raise EpanetMsxException(201, note="at line {} of [OPTIONS] section:\n{}".format(lnum, line)) from e def _read_species(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[SPECIES]"]: vals, comment = _split_line(line) @@ -285,10 +269,14 @@ def _read_species(self): note.post = comment if len(vals) < 3: raise EpanetMsxException(402, note="at line {} of [SPECIES] section:\n{}".format(lnum, line)) + try: + typ = SpeciesType.get(vals[0], allow_none=False) + except ValueError as e: + raise MSXValueError(403, vals[0], note="at line {} of [SPECIES] section:\n{}".format(lnum, line)) from e if len(vals) == 3: - species = self.rxn.add_species(vals[0], vals[1], vals[2], note=note) + self.rxn.add_species(vals[1], typ, vals[2], note=note) elif len(vals) == 5: - species = self.rxn.add_species(vals[0], vals[1], vals[2], float(vals[3]), float(vals[4]), note=note) + self.rxn.add_species(vals[1], typ, vals[2], float(vals[3]), float(vals[4]), note=note) else: raise EpanetMsxException(201, note="at line {} of [SPECIES] section:\n{}".format(lnum, line)) except EpanetMsxException: @@ -299,7 +287,6 @@ def _read_species(self): note = ENcomment() def _read_coefficients(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[COEFFICIENTS]"]: vals, comment = _split_line(line) @@ -312,7 +299,13 @@ def _read_coefficients(self): note.post = comment if len(vals) < 3: raise EpanetMsxException(402, note="at line {} of [COEFFICIENTS] section:\n{}".format(lnum, line)) - coeff = self.rxn.add_coefficient(vals[0], vals[1], float(vals[2]), note=note) + typ = QualityVarType.get(vals[0], allow_none=False) + if typ is QualityVarType.CONSTANT: + self.rxn.add_constant(vals[1], float(vals[2]), note=note) + elif typ is QualityVarType.PARAMETER: + self.rxn.add_parameter(vals[1], float(vals[2]), note=note) + else: + raise MSXValueError(403, vals[0], note="at line {} of [COEFFICIENTS] section:\n{}".format(lnum, line)) except EpanetMsxException: raise except Exception as e: @@ -321,7 +314,6 @@ def _read_coefficients(self): note = ENcomment() def _read_terms(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[TERMS]"]: vals, comment = _split_line(line) @@ -334,7 +326,7 @@ def _read_terms(self): note.post = comment if len(vals) < 2: raise SyntaxError("Invalid [TERMS] entry") - term = self.rxn.add_other_term(vals[0], " ".join(vals[1:]), note=note) + self.rxn.add_term(vals[0], " ".join(vals[1:]), note=note) except EpanetMsxException: raise except Exception as e: @@ -343,7 +335,6 @@ def _read_terms(self): note = ENcomment() def _read_pipes(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[PIPES]"]: vals, comment = _split_line(line) @@ -356,7 +347,7 @@ def _read_pipes(self): note.post = comment if len(vals) < 3: raise SyntaxError("Invalid [PIPES] entry") - reaction = self.rxn.add_pipe_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) + reaction = self.rxn.add_reaction(vals[1], "pipe", vals[0], " ".join(vals[2:]), note=note) except EpanetMsxException: raise except Exception as e: @@ -365,7 +356,6 @@ def _read_pipes(self): note = ENcomment() def _read_tanks(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[TANKS]"]: vals, comment = _split_line(line) @@ -378,7 +368,7 @@ def _read_tanks(self): note.post = comment if len(vals) < 3: raise SyntaxError("Invalid [TANKS] entry") - reaction = self.rxn.add_tank_reaction(vals[1], vals[0], " ".join(vals[2:]), note=note) + self.rxn.add_reaction(vals[1], "tank", vals[0], " ".join(vals[2:]), note=note) except EpanetMsxException: raise except Exception as e: @@ -387,7 +377,6 @@ def _read_tanks(self): note = ENcomment() def _read_source_dict(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[SOURCES]"]: vals, comment = _split_line(line) @@ -403,12 +392,12 @@ def _read_source_dict(self): pat = None else: typ, node, spec, strength, pat = vals - if not self.rxn.has_variable(spec): + if spec not in self.rxn.reaction_system: raise ValueError("Undefined species in [SOURCES] section: {}".format(spec)) - if spec not in self.rxn._source_dict.keys(): - self.rxn._source_dict[spec] = dict() + if spec not in self.rxn.network_data.sources.keys(): + self.rxn.network_data.sources[spec] = dict() source = dict(source_type=typ, strength=strength, pattern=pat, note=note) - self.rxn._source_dict[spec][node] = source + self.rxn.network_data.sources[spec][node] = source except EpanetMsxException: raise except Exception as e: @@ -417,7 +406,6 @@ def _read_source_dict(self): note = ENcomment() def _read_quality(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[QUALITY]"]: vals, comment = _split_line(line) @@ -434,16 +422,20 @@ def _read_quality(self): cmd, spec, concen = vals if cmd[0].lower() not in ["g", "n", "l"]: raise SyntaxError("Unknown first word in [QUALITY] section") - if not self.rxn.has_variable(spec): + if spec not in self.rxn.reaction_system.species: raise ValueError("Undefined species in [QUALITY] section: {}".format(spec)) - if spec not in self.rxn._inital_qual_dict.keys(): - self.rxn._inital_qual_dict[spec] = dict(global_value=None, nodes=dict(), links=dict()) + # FIXME: check for existence + # if spec not in self.rxn.net.initial_quality: + # self.rxn.net.new_quality_values(spec) + # self.rxn._inital_qual_dict[spec]["global"] = None + # self.rxn._inital_qual_dict[spec]["nodes"] = dict() + # self.rxn._inital_qual_dict[spec]["links"] = dict() if cmd[0].lower() == "g": - self.rxn._species[spec].initial_quality = float(concen) + self.rxn.network_data.initial_quality[spec].global_value = float(concen) elif cmd[0].lower() == "n": - self.rxn._inital_qual_dict[spec]["nodes"][netid] = float(concen) + self.rxn.network_data.initial_quality[spec].node_values[netid] = float(concen) elif cmd[1].lower() == "l": - self.rxn._inital_qual_dict[spec]["links"][netid] = float(concen) + self.rxn.network_data.initial_quality[spec].link_values[netid] = float(concen) except EpanetMsxException: raise except Exception as e: @@ -452,7 +444,6 @@ def _read_quality(self): note = ENcomment() def _read_parameters(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[PARAMETERS]"]: vals, comment = _split_line(line) @@ -464,14 +455,13 @@ def _read_parameters(self): if comment is not None: note.post = comment typ, netid, paramid, value = vals - coeff = self.rxn.get_variable(paramid) - if not isinstance(coeff, Parameter): + if paramid not in self.rxn.reaction_system.parameters: raise ValueError("Invalid parameter {}".format(paramid)) value = float(value) if typ.lower()[0] == "p": - coeff.pipe_values[netid] = value + self.rxn.network_data.parameter_values[paramid].pipe_values[netid] = value elif typ.lower()[0] == "t": - coeff.tank_values[netid] = value + self.rxn.network_data.parameter_values[paramid].tank_values[netid] = value else: raise ValueError("Invalid parameter type {}".format(typ)) except EpanetMsxException: @@ -482,7 +472,6 @@ def _read_parameters(self): note = ENcomment() def _read_diffusivity(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[DIFFUSIVITY]"]: vals, comment = _split_line(line) @@ -495,9 +484,7 @@ def _read_diffusivity(self): note.post = comment if len(vals) != 2: raise SyntaxError("Invalid [DIFFUSIVITIES] entry") - species = self.rxn.get_variable(vals[0]) - if not isinstance(species, Species): - raise RuntimeError("Invalid species {} in diffusivity".format(vals[0])) + species = self.rxn.reaction_system.species[vals[0]] species.diffusivity = float(vals[1]) except EpanetMsxException: raise @@ -524,10 +511,9 @@ def _read_patterns(self): _patterns[pattern_name].append(float(i)) for pattern_name, pattern in _patterns.items(): # add the patterns to the water newtork model - self.rxn.add_pattern(pattern_name, pattern) + self.rxn.network_data.add_pattern(pattern_name, pattern) def _read_report(self): - lines = [] note = ENcomment() for lnum, line in self.sections["[REPORT]"]: vals, comment = _split_line(line) @@ -572,7 +558,7 @@ def _read_report(self): elif cmd == "p": self.rxn._options.report.pagesize = vals[1] elif cmd == "s": - if not self.rxn.has_variable(vals[1]): + if vals[1] not in self.rxn.reaction_system.species: raise ValueError("Undefined species in [REPORT] section: {}".format(vals[1])) self.rxn._options.report.species[vals[1]] = True if vals[2].lower().startswith("y") else False if len(vals) == 4: @@ -609,27 +595,20 @@ def _write_options(self, fout): def _write_species(self, fout): fout.write("[SPECIES]\n") - def to_msx_string(self) -> str: - tols = self.get_tolerances() + def to_msx_string(spec: Species) -> str: + tols = spec.get_tolerances() if tols is None: tolstr = "" else: tolstr = " {:12.6g} {:12.6g}".format(*tols) return "{:<12s} {:<8s} {:<8s}{:s}".format( - self.var_type.name.upper(), - self.name, - self.units, + spec.species_type.name.upper(), + spec.name, + spec.units, tolstr, ) - for var in self.rxn.variables(var_type=VariableType.BULK): - if isinstance(var.note, ENcomment): - fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) - elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format(to_msx_string(var), var.note)) - else: - fout.write(" {}\n".format(to_msx_string(var))) - for var in self.rxn.variables(var_type=VariableType.WALL): + for var in self.rxn.reaction_system.species.values(): if isinstance(var.note, ENcomment): fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) elif isinstance(var.note, str): @@ -641,21 +620,26 @@ def to_msx_string(self) -> str: def _write_coefficients(self, fout): fout.write("[COEFFICIENTS]\n") - def to_msx_string(self) -> str: + def to_msx_string(coeff: Union[Constant, Parameter]) -> str: # if self.units is not None: # post = r' ; {"units"="' + str(self.units) + r'"}' # else: post = "" - return "{:<12s} {:<8s} {:<16s}{}".format(self.var_type.name.upper(), self.name, str(self.global_value), post) + return "{:<12s} {:<8s} {:<16s}{}".format( + coeff.var_type.name.upper(), + coeff.name, + str(coeff.global_value if isinstance(coeff, Parameter) else coeff.value), + post, + ) - for var in self.rxn.variables(var_type=VariableType.CONST): + for var in self.rxn.reaction_system.constants.values(): if isinstance(var.note, ENcomment): fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) elif isinstance(var.note, str): fout.write(" {} ; {}\n".format(to_msx_string(var), var.note)) else: fout.write(" {}\n".format(to_msx_string(var))) - for var in self.rxn.variables(var_type=VariableType.PARAM): + for var in self.rxn.reaction_system.parameters.values(): if isinstance(var.note, ENcomment): fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) elif isinstance(var.note, str): @@ -667,10 +651,10 @@ def to_msx_string(self) -> str: def _write_terms(self, fout): fout.write("[TERMS]\n") - def to_msx_string(self) -> str: - return "{:<8s} {:<64s}".format(self.name, self.expression) + def to_msx_string(term: Term) -> str: + return "{:<8s} {:<64s}".format(term.name, term.expression) - for var in self.rxn.variables(var_type=VariableType.TERM): + for var in self.rxn.reaction_system.terms.values(): if isinstance(var.note, ENcomment): fout.write("{}\n".format(var.note.wrap_msx_string(to_msx_string(var)))) elif isinstance(var.note, str): @@ -681,45 +665,103 @@ def to_msx_string(self) -> str: def _write_pipes(self, fout): fout.write("[PIPES]\n") - for var in self.rxn.reactions(location=LocationType.PIPE): + for spec in self.rxn.reaction_system.species.values(): + var = spec.pipe_reaction + if var is None: + raise MSXValueError(507, note=" species {}".format(str(spec))) if isinstance(var.note, ENcomment): - fout.write("{}\n".format(var.note.wrap_msx_string("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression)))) + fout.write( + "{}\n".format( + var.note.wrap_msx_string( + "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression) + ) + ) + ) elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression), var.note)) + fout.write( + " {} ; {}\n".format( + "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression), + var.note, + ) + ) else: - fout.write(" {}\n".format("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression))) + fout.write( + " {}\n".format( + "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression) + ) + ) fout.write("\n") def _write_tanks(self, fout): fout.write("[TANKS]\n") - for var in self.rxn.reactions(location=LocationType.TANK): + for spec in self.rxn.reaction_system.species.values(): + if spec.species_type.name == 'WALL': + continue + try: + var = spec.tank_reaction + except KeyError: + logger.warn('Species {} does not have a tank reaction - this may be a problem'.format(str(spec))) + if var is None: + raise MSXValueError(508, note=" species {}".format(str(spec))) if isinstance(var.note, ENcomment): - fout.write("{}\n".format(var.note.wrap_msx_string("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression)))) + fout.write( + "{}\n".format( + var.note.wrap_msx_string( + "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression) + ) + ) + ) elif isinstance(var.note, str): - fout.write(" {} ; {}\n".format("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression), var.note)) + fout.write( + " {} ; {}\n".format( + "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression), + var.note, + ) + ) else: - fout.write(" {}\n".format("{:<12s} {:<8s} {:<32s}".format(var.expr_type.name.upper(), str(var.species), var.expression))) + fout.write( + " {}\n".format( + "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression) + ) + ) fout.write("\n") def _write_source_dict(self, fout): fout.write("[SOURCES]\n") - for species in self.rxn._source_dict.keys(): - for node, src in self.rxn._source_dict[species].items(): + for species in self.rxn.network_data.sources.keys(): + for node, src in self.rxn.network_data.sources[species].items(): if isinstance(src["note"], ENcomment): fout.write( src["note"].wrap_msx_string( - "{:<10s} {:<8s} {:<8s} {:12s} {:<12s}".format(src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "") + "{:<10s} {:<8s} {:<8s} {:12s} {:<12s}".format( + src["source_type"], + node, + species, + src["strength"], + src["pattern"] if src["pattern"] is not None else "", + ) ) ) elif isinstance(src["note"], str): fout.write( " {:<10s} {:<8s} {:<8s} {} {:<12s} ; {}\n".format( - src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "", src["note"] + src["source_type"], + node, + species, + src["strength"], + src["pattern"] if src["pattern"] is not None else "", + src["note"], ) ) else: fout.write( - " {:<10s} {:<8s} {:<8s} {} {:<12s}\n".format(src["source_type"], node, species, src["strength"], src["pattern"] if src["pattern"] is not None else "") + " {:<10s} {:<8s} {:<8s} {} {:<12s}\n".format( + src["source_type"], + node, + species, + src["strength"], + src["pattern"] if src["pattern"] is not None else "", + ) ) if src["note"] is not None: fout.write("\n") @@ -727,28 +769,23 @@ def _write_source_dict(self, fout): def _write_quality(self, fout): fout.write("[QUALITY]\n") - for spec, species in self.rxn._species.items(): - if species.initial_quality is not None: - fout.write(" {:<8s} {:<8s} {}\n".format("GLOBAL", species.name, species.initial_quality)) - for species in self.rxn._inital_qual_dict.keys(): - for typ, val in self.rxn._inital_qual_dict[species].items(): - if typ in ["nodes", "links"]: - for node, conc in val.items(): - fout.write(" {:<8s} {:<8s} {:<8s} {}\n".format(typ.upper()[0:4], node, species, conc)) + for species, val in self.rxn.network_data.initial_quality.items(): + for typ in ["node_values", "link_values"]: + for node, conc in getattr(val, typ).items(): + fout.write(" {:<8s} {:<8s} {:<8s} {}\n".format(typ.upper()[0:4], node, species, conc)) + if val.global_value: + fout.write(" {:<8s} {:<8s} {}\n".format("GLOBAL", species, val)) fout.write("\n") def _write_parameters(self, fout): fout.write("[PARAMETERS]\n") - for var in self.rxn.variables(var_type=VariableType.PARAM): + for name, var in self.rxn.network_data.parameter_values.items(): had_entries = False - if not isinstance(var, Parameter): - pass - paramID = var.name for pipeID, value in var.pipe_values.items(): - fout.write(" PIPE {:<8s} {:<8s} {}\n".format(pipeID, paramID, value)) + fout.write(" PIPE {:<8s} {:<8s} {}\n".format(pipeID, name, value)) had_entries = True for tankID, value in var.tank_values.items(): - fout.write(" PIPE {:<8s} {:<8s} {}\n".format(tankID, paramID, value)) + fout.write(" PIPE {:<8s} {:<8s} {}\n".format(tankID, name, value)) had_entries = True if had_entries: fout.write("\n") @@ -756,7 +793,7 @@ def _write_parameters(self, fout): def _write_patterns(self, fout): fout.write("[PATTERNS]\n") - for pattern_name, pattern in self.rxn._pattern_dict.items(): + for pattern_name, pattern in self.rxn.network_data.patterns.items(): num_columns = 10 count = 0 for i in pattern: # .multipliers: @@ -771,7 +808,7 @@ def _write_patterns(self, fout): def _write_diffusivity(self, fout): fout.write("[DIFFUSIVITY]\n") for name in self.rxn.species_name_list: - spec: Species = self.rxn.get_variable(name) + spec: Species = self.rxn.reaction_system.species[name] if spec.diffusivity is not None: fout.write(" {:<8s} {}\n".format(name, spec.diffusivity)) fout.write("\n") @@ -793,7 +830,9 @@ def _write_report(self, fout): " SPECIES {:<8s} {:<3s} {}\n".format( spec, "YES" if val else "NO", - self.rxn._options.report.species_precision[spec] if spec in self.rxn._options.report.species_precision.keys() else "", + self.rxn._options.report.species_precision[spec] + if spec in self.rxn._options.report.species_precision.keys() + else "", ) ) if self.rxn._options.report.report_filename: @@ -803,9 +842,11 @@ def _write_report(self, fout): fout.write("\n") -def MsxBinFile(filename, wn: wntr.network.WaterNetworkModel): +def MsxBinFile(filename, wn: wntr.network.WaterNetworkModel, res = None): duration = int(wn.options.time.duration) - + if res is None: + from wntr.sim.results import SimulationResults + res = SimulationResults() with open(filename, "rb") as fin: ftype = "=f4" idlen = 32 @@ -819,14 +860,17 @@ def MsxBinFile(filename, wn: wntr.network.WaterNetworkModel): species_list = [] node_list = wn.node_name_list link_list = wn.link_name_list + print(magic1, version, nnodes, nlinks, nspecies, reportstep) + species_mass = [] for i in range(nspecies): - species_len = int(np.fromfile(fin, dtype=np.int32, count=1)) + species_len = np.fromfile(fin, dtype=np.int32, count=1)[0] + print(species_len) species_name = "".join(chr(f) for f in np.fromfile(fin, dtype=np.uint8, count=species_len) if f != 0) + print(species_name) species_list.append(species_name) - species_mass = [] - for i in range(nspecies): species_mass.append("".join(chr(f) for f in np.fromfile(fin, dtype=np.uint8, count=16) if f != 0)) + timerange = range(0, duration + 1, reportstep) tr = len(timerange) @@ -867,4 +911,7 @@ def MsxBinFile(filename, wn: wntr.network.WaterNetworkModel): else: print("Magic#s do not match!") - return df_fin + for species in species_list: + res.node[species] = df_fin['node'][species] + res.link[species] = df_fin['link'][species] + return res diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py index 599131aa3..69140c4f2 100644 --- a/wntr/epanet/msx/toolkit.py +++ b/wntr/epanet/msx/toolkit.py @@ -57,6 +57,7 @@ def __init__(self, inpfile="", rptfile="", binfile="", msxfile=""): self.inpfile = inpfile self.rptfile = rptfile self.binfile = binfile + self.msxfile = msxfile libnames = ["epanetmsx", "epanetmsx_win32"] if "64" in platform.machine(): @@ -97,7 +98,7 @@ def _error(self, *args): return # ----------running the simulation----------------------------------------------------- - def MSXopen(self, msxfile): + def MSXopen(self, msxfile=None): """Opens the MSX Toolkit to analyze a particular distribution system. Parameters @@ -105,6 +106,8 @@ def MSXopen(self, msxfile): msxfile : str name of the MSX input file """ + if msxfile is None: + msxfile = self.msxfile ierr = self.ENlib.MSXopen(ctypes.c_char_p(msxfile.encode())) if ierr != 0: raise EpanetMsxException(ierr, msxfile) diff --git a/wntr/epanet/toolkit.py b/wntr/epanet/toolkit.py index 38b1fd14d..21ffb67a5 100644 --- a/wntr/epanet/toolkit.py +++ b/wntr/epanet/toolkit.py @@ -1,6 +1,16 @@ """ The wntr.epanet.toolkit module is a Python extension for the EPANET Programmers Toolkit DLLs. + +.. rubric:: Contents + +.. autosummary:: + + runepanet + ENepanet + EpanetException + ENgetwarning + """ import ctypes import os diff --git a/wntr/epanet/util.py b/wntr/epanet/util.py index ae97a8f56..ab6038276 100644 --- a/wntr/epanet/util.py +++ b/wntr/epanet/util.py @@ -1,11 +1,11 @@ """ The wntr.epanet.util module contains unit conversion utilities based on EPANET units. """ -from dataclasses import dataclass, field +import dataclasses import enum import logging +from dataclasses import dataclass, field from typing import List - import numpy as np import pandas as pd @@ -1400,3 +1400,6 @@ def wrap_msx_string(self, string) -> str: return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string else: return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string + ' ; ' + self.post + + def to_dict(self): + return dataclasses.asdict(self) \ No newline at end of file diff --git a/wntr/network/io.py b/wntr/network/io.py index bde165583..289e30d16 100644 --- a/wntr/network/io.py +++ b/wntr/network/io.py @@ -31,7 +31,6 @@ import wntr.epanet from wntr.epanet.util import FlowUnits import wntr.network.model -import wntr.utils.citations from wntr.gis.network import WaterNetworkGIS try: import geopandas as gpd @@ -70,7 +69,7 @@ def to_dict(wn) -> dict: version="wntr-{}".format(__version__), comment="WaterNetworkModel - all values given in SI units", name=wn.name, - citations=wntr.utils.citations.to_jsontypes(wn._citations), + references=wn._references.copy(), options=wn._options.to_dict(), curves=wn._curve_reg.to_list(), patterns=wn._pattern_reg.to_list(), @@ -105,7 +104,7 @@ def from_dict(d: dict, append=None): "version", "comment", "name", - "citations", + "references", "options", "curves", "patterns", @@ -123,8 +122,8 @@ def from_dict(d: dict, append=None): wn = append if "name" in d: wn.name = d["name"] - if "citations" in d: - wn._citations = wntr.utils.citations.from_jsontypes(d["citations"]) + if "references" in d: + wn._references = d["references"] if "options" in d: wn.options.__init__(**d["options"]) if "curves" in d: diff --git a/wntr/network/model.py b/wntr/network/model.py index 5fee95248..47919dd09 100644 --- a/wntr/network/model.py +++ b/wntr/network/model.py @@ -25,7 +25,6 @@ import six import wntr.epanet import wntr.network.io -from wntr.utils.citations import Citation from wntr.utils.ordered_set import OrderedSet from .base import AbstractModel, Link, LinkStatus, Registry @@ -73,8 +72,8 @@ def __init__(self, inp_file_name=None): # Network name self.name = None - self._citations: Union[str,Citation, List[Union[str,Citation]]] = list() - """A list of citations that document the source of this model. See also :class:`~wntr.utils.citations.Citation`.""" + self._references: List[Union[str, dict]] = list() + """A list of references that document the source of this model.""" self._options = Options() self._node_reg = NodeRegistry(self) @@ -341,6 +340,15 @@ def msx(self, msx): if not isinstance(msx, AbstractQualityModel): raise TypeError('Expected AbstractQualityModel (or derived), got {}'.format(type(msx))) + def add_msx_model(self, msx_filename=None): + """Add an msx model from a MSX input file (.msx extension)""" + from wntr.quality.multispecies import MultispeciesQualityModel + self._msx = MultispeciesQualityModel(msx_file_name=msx_filename) + + def remove_msx_model(self): + """Remove an msx model from the network""" + self._msx = None + """ ### # ### Create blank, unregistered objects (for direct assignment) diff --git a/wntr/quality/_library_data/arsenic_chloramine.json b/wntr/quality/_library_data/arsenic_chloramine.json new file mode 100644 index 000000000..3e6c5d3d9 --- /dev/null +++ b/wntr/quality/_library_data/arsenic_chloramine.json @@ -0,0 +1,203 @@ +{ + "wntr-version": "1.0.0", + "name": "arsenic_chloramine", + "title": "Arsenic Oxidation/Adsorption Example", + "desc": "This example models monochloramine oxidation of arsenite/arsenate and wall adsoption/desorption, as given in section 3 of the EPANET-MSX user manual", + "references": [ + "Shang, F. and Rossman, L.A. and Uber, J.G. (2023) \"EPANET-MSX 2.0 User Manual\". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199." + ], + "reaction_system": { + "species": [ + { + "name": "AS3", + "species_type": "bulk", + "units": "UG", + "atol": null, + "rtol": null, + "note": "Dissolved arsenite" + }, + { + "name": "AS5", + "species_type": "bulk", + "units": "UG", + "atol": null, + "rtol": null, + "note": "Dissolved arsenate" + }, + { + "name": "AStot", + "species_type": "bulk", + "units": "UG", + "atol": null, + "rtol": null, + "note": "Total dissolved arsenic" + }, + { + "name": "AS5s", + "species_type": "wall", + "units": "UG", + "atol": null, + "rtol": null, + "note": "Adsorbed arsenate" + }, + { + "name": "NH2CL", + "species_type": "bulk", + "units": "MG", + "atol": null, + "rtol": null, + "note": "Monochloramine" + } + ], + "constants": [ + { + "name": "Ka", + "value": 10.0, + "units": "1 / (MG * HR)", + "note": "Arsenite oxidation rate coefficient" + }, + { + "name": "Kb", + "value": 0.1, + "units": "1 / HR", + "note": "Monochloramine decay rate coefficient" + }, + { + "name": "K1", + "value": 5.0, + "units": "M^3 / (UG * HR)", + "note": "Arsenate adsorption coefficient" + }, + { + "name": "K2", + "value": 1.0, + "units": "1 / HR", + "note": "Arsenate desorption coefficient" + }, + { + "name": "Smax", + "value": 50.0, + "units": "UG / M^2", + "note": "Arsenate adsorption limit" + } + ], + "parameters": [], + "terms": [ + { + "name": "Ks", + "expression": "K1/K2", + "note": "Equil. adsorption coeff." + } + ], + "pipe_reactions": [ + { + "species_name": "AS3", + "dynamics_type": "rate", + "expression": "-Ka*AS3*NH2CL", + "note": "Arsenite oxidation" + }, + { + "species_name": "AS5", + "dynamics_type": "rate", + "expression": "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", + "note": "Arsenate production less adsorption" + }, + { + "species_name": "NH2CL", + "dynamics_type": "rate", + "expression": "-Kb*NH2CL", + "note": "Monochloramine decay" + }, + { + "species_name": "AS5s", + "dynamics_type": "equil", + "expression": "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", + "note": "Arsenate adsorption" + }, + { + "species_name": "AStot", + "dynamics_type": "formula", + "expression": "AS3 + AS5", + "note": "Total arsenic" + } + ], + "tank_reactions": [ + { + "species_name": "AS3", + "dynamics_type": "rate", + "expression": "-Ka*AS3*NH2CL", + "note": "Arsenite oxidation" + }, + { + "species_name": "AS5", + "dynamics_type": "rate", + "expression": "Ka*AS3*NH2CL", + "note": "Arsenate production" + }, + { + "species_name": "NH2CL", + "dynamics_type": "rate", + "expression": "-Kb*NH2CL", + "note": "Monochloramine decay" + }, + { + "species_name": "AStot", + "dynamics_type": "formula", + "expression": "AS3 + AS5", + "note": "Total arsenic" + } + ] + }, + "network_data": { + "initial_quality": { + "AS3": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "AS5": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "AStot": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "AS5s": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "NH2CL": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + } + }, + "parameter_values": {}, + "sources": {}, + "patterns": {} + }, + "options": { + "timestep": 360, + "area_units": "M2", + "rate_units": "HR", + "solver": "RK5", + "coupling": "NONE", + "rtol": 0.001, + "atol": 0.0001, + "compiler": "NONE", + "segments": 5000, + "peclet": 1000, + "report": { + "pagesize": null, + "report_filename": null, + "species": {}, + "species_precision": {}, + "nodes": null, + "links": null + } + } +} \ No newline at end of file diff --git a/wntr/quality/_library_data/batch_chloramine_decay.json b/wntr/quality/_library_data/batch_chloramine_decay.json new file mode 100644 index 000000000..2d0e5f9f2 --- /dev/null +++ b/wntr/quality/_library_data/batch_chloramine_decay.json @@ -0,0 +1,415 @@ +{ + "wntr-version": "1.0.0", + "name": "batch_chloramine_decay", + "title": "Batch chloramine decay example", + "desc": null, + "references": [], + "reaction_system": { + "species": [ + { + "name": "HOCL", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "hypochlorous acid" + }, + { + "name": "NH3", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "ammonia" + }, + { + "name": "NH2CL", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "monochloramine" + }, + { + "name": "NHCL2", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "dichloramine" + }, + { + "name": "I", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "unknown intermediate" + }, + { + "name": "OCL", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "hypochlorite ion" + }, + { + "name": "NH4", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "ammonium ion" + }, + { + "name": "ALK", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "total alkalinity" + }, + { + "name": "H", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "hydrogen ion" + }, + { + "name": "OH", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "hydroxide ion" + }, + { + "name": "CO3", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "carbonate ion" + }, + { + "name": "HCO3", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "bicarbonate ion" + }, + { + "name": "H2CO3", + "species_type": "bulk", + "units": "mol", + "atol": null, + "rtol": null, + "note": "dissolved carbon dioxide" + }, + { + "name": "chloramine", + "species_type": "bulk", + "units": "mmol", + "atol": null, + "rtol": null, + "note": "monochloramine in mmol/L" + } + ], + "constants": [], + "parameters": [ + { + "name": "k1", + "global_value": 15000000000.0 + }, + { + "name": "k2", + "global_value": 0.076 + }, + { + "name": "k3", + "global_value": 1000000.0 + }, + { + "name": "k4", + "global_value": 0.0023 + }, + { + "name": "k6", + "global_value": 220000000.0 + }, + { + "name": "k7", + "global_value": 400000.0 + }, + { + "name": "k8", + "global_value": 100000000.0 + }, + { + "name": "k9", + "global_value": 30000000.0 + }, + { + "name": "k10", + "global_value": 55.0 + } + ], + "terms": [ + { + "name": "k5", + "expression": "(2.5e7*H) + (4.0e4*H2CO3) + (800*HCO3)" + }, + { + "name": "a1", + "expression": "k1 * HOCL * NH3" + }, + { + "name": "a2", + "expression": "k2 * NH2CL" + }, + { + "name": "a3", + "expression": "k3 * HOCL * NH2CL" + }, + { + "name": "a4", + "expression": "k4 * NHCL2" + }, + { + "name": "a5", + "expression": "k5 * NH2CL * NH2CL" + }, + { + "name": "a6", + "expression": "k6 * NHCL2 * NH3 * H" + }, + { + "name": "a7", + "expression": "k7 * NHCL2 * OH" + }, + { + "name": "a8", + "expression": "k8 * I * NHCL2" + }, + { + "name": "a9", + "expression": "k9 * I * NH2CL" + }, + { + "name": "a10", + "expression": "k10 * NH2CL * NHCL2" + } + ], + "pipe_reactions": [ + { + "species_name": "HOCL", + "dynamics_type": "rate", + "expression": "-a1 + a2 - a3 + a4 + a8" + }, + { + "species_name": "NH3", + "dynamics_type": "rate", + "expression": "-a1 + a2 + a5 - a6" + }, + { + "species_name": "NH2CL", + "dynamics_type": "rate", + "expression": "a1 - a2 - a3 + a4 - a5 + a6 - a9 - a10" + }, + { + "species_name": "NHCL2", + "dynamics_type": "rate", + "expression": "a3 - a4 + a5 - a6 - a7 - a8 - a10" + }, + { + "species_name": "I", + "dynamics_type": "rate", + "expression": "a7 - a8 - a9" + }, + { + "species_name": "H", + "dynamics_type": "rate", + "expression": "0" + }, + { + "species_name": "ALK", + "dynamics_type": "rate", + "expression": "0" + }, + { + "species_name": "OCL", + "dynamics_type": "equil", + "expression": "H * OCL - 3.16E-8 * HOCL" + }, + { + "species_name": "NH4", + "dynamics_type": "equil", + "expression": "H * NH3 - 5.01e-10 * NH4" + }, + { + "species_name": "CO3", + "dynamics_type": "equil", + "expression": "H * CO3 - 5.01e-11 * HCO3" + }, + { + "species_name": "H2CO3", + "dynamics_type": "equil", + "expression": "H * HCO3 - 5.01e-7 * H2CO3" + }, + { + "species_name": "HCO3", + "dynamics_type": "equil", + "expression": "ALK - HC03 - 2*CO3 - OH + H" + }, + { + "species_name": "OH", + "dynamics_type": "equil", + "expression": "H * OH - 1.0e-14" + }, + { + "species_name": "chloramine", + "dynamics_type": "formula", + "expression": "1000 * NH2CL" + } + ], + "tank_reactions": [] + }, + "network_data": { + "initial_quality": { + "HOCL": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "NH3": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "NH2CL": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "NHCL2": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "I": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "OCL": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "NH4": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "ALK": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "H": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "OH": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "CO3": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "HCO3": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "H2CO3": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "chloramine": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + } + }, + "parameter_values": { + "k1": { + "pipe_values": {}, + "tank_values": {} + }, + "k2": { + "pipe_values": {}, + "tank_values": {} + }, + "k3": { + "pipe_values": {}, + "tank_values": {} + }, + "k4": { + "pipe_values": {}, + "tank_values": {} + }, + "k6": { + "pipe_values": {}, + "tank_values": {} + }, + "k7": { + "pipe_values": {}, + "tank_values": {} + }, + "k8": { + "pipe_values": {}, + "tank_values": {} + }, + "k9": { + "pipe_values": {}, + "tank_values": {} + }, + "k10": { + "pipe_values": {}, + "tank_values": {} + } + }, + "sources": {}, + "patterns": {} + }, + "options": { + "timestep": 360, + "area_units": "ft2", + "rate_units": "hr", + "solver": "RK5", + "coupling": "NONE", + "rtol": 0.0001, + "atol": 0.0001, + "compiler": "NONE", + "segments": 5000, + "peclet": 1000, + "report": { + "pagesize": null, + "report_filename": null, + "species": {}, + "species_precision": {}, + "nodes": null, + "links": null + } + } +} \ No newline at end of file diff --git a/wntr/quality/_library_data/lead_ppm.json b/wntr/quality/_library_data/lead_ppm.json new file mode 100644 index 000000000..129140c45 --- /dev/null +++ b/wntr/quality/_library_data/lead_ppm.json @@ -0,0 +1,98 @@ +{ + "wntr-version": "1.0.0", + "name": "lead_ppm", + "title": "Lead Plumbosolvency Model (from Burkhardt et al 2020)", + "desc": "Parameters for EPA HPS Simulator Model", + "references": [ + "J. B. Burkhardt, et al. (2020) \"Framework for Modeling Lead in Premise Plumbing Systems Using EPANET\". J Water Resour Plan Manag. 146(12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304 PMID:33627937" + ], + "reaction_system": { + "species": [ + { + "name": "PB2", + "species_type": "bulk", + "units": "ug", + "atol": null, + "rtol": null, + "note": "dissolved lead (Pb)" + } + ], + "constants": [ + { + "name": "M", + "value": 0.117, + "units": "ug * m^(-2) * s^(-1)", + "note": "Desorption rate (ug/m^2/s)" + }, + { + "name": "E", + "value": 140.0, + "units": "ug/L", + "note": "saturation/plumbosolvency level (ug/L)" + } + ], + "parameters": [ + { + "name": "F", + "global_value": 0.0, + "note": "determines which pipes have reactions" + } + ], + "terms": [], + "pipe_reactions": [ + { + "species_name": "PB2", + "dynamics_type": "rate", + "expression": "F * Av * M * (E - PB2) / E" + } + ], + "tank_reactions": [ + { + "species_name": "PB2", + "dynamics_type": "rate", + "expression": "0" + } + ] + }, + "network_data": { + "initial_quality": { + "PB2": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + } + }, + "parameter_values": { + "F": { + "pipe_values": {}, + "tank_values": {} + } + }, + "sources": {}, + "patterns": {} + }, + "options": { + "timestep": 1, + "area_units": "M2", + "rate_units": "SEC", + "solver": "RK5", + "coupling": "NONE", + "rtol": 1e-08, + "atol": 1e-08, + "compiler": "NONE", + "segments": 5000, + "peclet": 1000, + "report": { + "pagesize": null, + "report_filename": null, + "species": { + "PB2": "YES" + }, + "species_precision": { + "PB2": 5 + }, + "nodes": "all", + "links": "all" + } + } +} \ No newline at end of file diff --git a/wntr/quality/_library_data/nicotine.json b/wntr/quality/_library_data/nicotine.json new file mode 100644 index 000000000..5ab62fc9d --- /dev/null +++ b/wntr/quality/_library_data/nicotine.json @@ -0,0 +1,108 @@ +{ + "wntr-version": "1.0.0", + "name": "nicotine", + "title": "Nicotine - Chlorine reaction", + "desc": null, + "references": [], + "reaction_system": { + "species": [ + { + "name": "Nx", + "species_type": "bulk", + "units": "mg", + "atol": null, + "rtol": null, + "note": "Nicotine" + }, + { + "name": "HOCL", + "species_type": "bulk", + "units": "mg", + "atol": null, + "rtol": null, + "note": "Free chlorine" + } + ], + "constants": [ + { + "name": "kd", + "value": 0.00233, + "units": "min^(-1)", + "note": "decay rate" + }, + { + "name": "K1", + "value": 0.0592, + "units": "L * min^(-1) * mg^(-1)", + "note": "decay constant for chlorine as function of mass(Nic)" + }, + { + "name": "K2", + "value": 0.184, + "units": "L * min^(-1) * mg^(-1)", + "note": "decay constant for nicotine as function of mass(Cl)" + } + ], + "parameters": [], + "terms": [ + { + "name": "RxCl", + "expression": "kd * HOCL + K1 * Nx * HOCL" + }, + { + "name": "RxN", + "expression": "K2 * Nx * HOCL" + } + ], + "pipe_reactions": [ + { + "species_name": "Nx", + "dynamics_type": "rate", + "expression": "-RxN" + }, + { + "species_name": "HOCL", + "dynamics_type": "rate", + "expression": "-RxCl" + } + ], + "tank_reactions": [] + }, + "network_data": { + "initial_quality": { + "Nx": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "HOCL": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + } + }, + "parameter_values": {}, + "sources": {}, + "patterns": {} + }, + "options": { + "timestep": 1, + "area_units": "m2", + "rate_units": "min", + "solver": "RK5", + "coupling": "NONE", + "rtol": 0.0001, + "atol": 0.0001, + "compiler": "NONE", + "segments": 5000, + "peclet": 1000, + "report": { + "pagesize": null, + "report_filename": null, + "species": {}, + "species_precision": {}, + "nodes": null, + "links": null + } + } +} \ No newline at end of file diff --git a/wntr/quality/_library_data/nicotine_ri.json b/wntr/quality/_library_data/nicotine_ri.json new file mode 100644 index 000000000..3e9a2d981 --- /dev/null +++ b/wntr/quality/_library_data/nicotine_ri.json @@ -0,0 +1,158 @@ +{ + "wntr-version": "1.0.0", + "name": "nicotine_ri", + "title": "Nicotine - Chlorine reaction with reactive intermediate", + "desc": null, + "references": [], + "reaction_system": { + "species": [ + { + "name": "Nx", + "species_type": "bulk", + "units": "mg", + "atol": null, + "rtol": null, + "note": "Nicotine" + }, + { + "name": "HOCL", + "species_type": "bulk", + "units": "mg", + "atol": null, + "rtol": null, + "note": "Free Chlorine" + }, + { + "name": "NX2", + "species_type": "bulk", + "units": "mg", + "atol": null, + "rtol": null, + "note": "Intermediate Nicotine Reactive" + } + ], + "constants": [ + { + "name": "kd", + "value": 3e-05, + "units": "1/min", + "note": "decay constant for chlorine over time" + }, + { + "name": "K1", + "value": 0.0975, + "units": "L * min^(-1) * mg^(-1)", + "note": "decay constant for chlorine as function of mass(Nic)" + }, + { + "name": "K2", + "value": 0.573, + "units": "L * min^(-1) * mg^(-1)", + "note": "decay constant for nicotine as function of mass(Cl)" + }, + { + "name": "K3", + "value": 0.0134, + "units": "L * min^(-1) * mg^(-1)", + "note": "decay constant for nicotine as function of mass(Nic2)" + }, + { + "name": "K4", + "value": 0.0219, + "units": "L * min^(-1) * mg^(-1)", + "note": "decay constant for nicotine as function of mass(Cl)" + } + ], + "parameters": [], + "terms": [ + { + "name": "RXCL", + "expression": "kd * HOCL + K1 * Nx * HOCL + K3 * NX2 * HOCL" + }, + { + "name": "RXN", + "expression": "K2 * Nx * HOCL" + }, + { + "name": "RXNX2", + "expression": "K2 * Nx * HOCL - K4 * NX2 * HOCL" + } + ], + "pipe_reactions": [ + { + "species_name": "Nx", + "dynamics_type": "rate", + "expression": "-RXN" + }, + { + "species_name": "HOCL", + "dynamics_type": "rate", + "expression": "-RXCL" + }, + { + "species_name": "NX2", + "dynamics_type": "rate", + "expression": "RXNX2" + } + ], + "tank_reactions": [ + { + "species_name": "Nx", + "dynamics_type": "rate", + "expression": "-RXN" + }, + { + "species_name": "HOCL", + "dynamics_type": "rate", + "expression": "-RXCL" + }, + { + "species_name": "NX2", + "dynamics_type": "rate", + "expression": "RXNX2" + } + ] + }, + "network_data": { + "initial_quality": { + "Nx": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "HOCL": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + }, + "NX2": { + "global_value": 0.0, + "node_values": {}, + "link_values": {} + } + }, + "parameter_values": {}, + "sources": {}, + "patterns": {} + }, + "options": { + "timestep": 1, + "area_units": "m2", + "rate_units": "min", + "solver": "RK5", + "coupling": "NONE", + "rtol": 1e-10, + "atol": 1e-10, + "compiler": "NONE", + "segments": 5000, + "peclet": 1000, + "report": { + "pagesize": null, + "report_filename": null, + "species": {}, + "species_precision": {}, + "nodes": null, + "links": null + } + } +} \ No newline at end of file diff --git a/wntr/quality/base.py b/wntr/quality/base.py index 43e67e955..8e05f1a49 100644 --- a/wntr/quality/base.py +++ b/wntr/quality/base.py @@ -8,11 +8,8 @@ from abc import ABC, abstractmethod, abstractproperty import logging from enum import Enum, IntEnum -from typing import Any, Dict -from wntr.epanet.util import ENcomment -from wntr.quality.multispecies import Species -from wntr.utils.disjoint_mapping import KeyExistsError, VariablesRegistry - +from typing import Any, Dict, Iterator +from wntr.utils.disjoint_mapping import DisjointMapping from wntr.utils.enumtools import add_get @@ -66,9 +63,7 @@ def eval(cls, x): except ImportError: sympy = None has_sympy = False - logging.critical( - "This python installation does not have SymPy installed. Certain functionality will be disabled." - ) + logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") standard_transformations = (None,) convert_xor = None if not has_sympy: @@ -91,15 +86,23 @@ def eval(cls, x): log10, ) - def _cot(x): return 1 / tan(x) + def _cot(x): + return 1 / tan(x) + cot = _cot Abs = abs asin = arcsin acos = arccos atan = arctan - def _acot(x): return 1 / arctan(1 / x) + + def _acot(x): + return 1 / arctan(1 / x) + acot = _acot - def _coth(x): return 1 / tanh(x) + + def _coth(x): + return 1 / tanh(x) + coth = _coth Heaviside = heaviside _log10 = log10 @@ -268,10 +271,11 @@ def _coth(x): return 1 / tanh(x) :meta hide-value: """ + class AnnotatedFloat(float): def __new__(self, value, note=None): return float.__new__(self, value) - + def __init__(self, value, note=None): float.__init__(value) self.note = note @@ -344,10 +348,10 @@ class SpeciesType(IntEnum): """wall species""" B = BULK W = WALL - + @add_get(abbrev=True) -class LocationType(Enum): +class ReactionType(Enum): """What type of network component does this reaction occur in The following types are defined, and aliases of just the first character @@ -407,30 +411,31 @@ class DynamicsType(Enum): R = RATE F = FORMULA + __all__ = [ - 'HYDRAULIC_VARIABLES', - 'EXPR_FUNCTIONS', - 'RESERVED_NAMES', - 'EXPR_TRANSFORMS', - 'QualityVarType', - 'SpeciesType', - 'LocationType', - 'DynamicsType', - 'WaterQualityVariable', - 'WaterQualityReaction', + "HYDRAULIC_VARIABLES", + "EXPR_FUNCTIONS", + "RESERVED_NAMES", + "EXPR_TRANSFORMS", + "QualityVarType", + "SpeciesType", + "ReactionType", + "DynamicsType", + "WaterQualityVariable", + "WaterQualityReaction", ] class WaterQualityReaction(ABC): - def __init__(self, dynamics_type: DynamicsType, *, note=None) -> None: + def __init__(self, species_name: str, *, note=None) -> None: """A water quality reaction definition. This abstract class must be subclassed. Arguments --------- - dynamics_type : DynamicsType - The type of reaction dynamics being described by the expression: one of RATE, FORMULA, or EQUIL. + species_name : str + The name of the chemical or biological species being modeled using this reaction. Keyword Arguments @@ -444,26 +449,27 @@ def __init__(self, dynamics_type: DynamicsType, *, note=None) -> None: TypeError if dynamics_type is invalid """ - dynamics_type = DynamicsType.get(dynamics_type) - if dynamics_type is None: - raise TypeError("dynamics cannot be None") - self._dynamics_type = dynamics_type + if species_name is None: + raise TypeError("The species_name cannot be None") + self._species_name = species_name self.note = note - def dynamics_type(self) -> DynamicsType: - """The type of dynamics being described. - See :class:`DynamicsType` for valid values. - """ - raise NotImplementedError + @property + def species_name(self) -> str: + return self._species_name + @abstractproperty + def reaction_type(self) -> Enum: + """The type of reaction or where this reaction occurs.""" + raise NotImplementedError + def __str__(self) -> str: - """Return a string representation of the reaction""" - return "{}({}) = ".format(self.__class__.__name__, self._dynamics_type.name) + return "{}->{}".format(self.species_name, self.reaction_type.name) def __repr__(self) -> str: return ( "{}(".format(self.__class__.__name__) - + ", ".join(["{}={}".format(k, repr(v)) for k, v in self.to_dict().items()]) + + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) + ")" ) @@ -485,7 +491,7 @@ class WaterQualityVariable(ABC): required to create these variables and define reactions. """ - def __init__(self, name: str, *, note=None, _vars=None) -> None: + def __init__(self, name: str, *, note=None) -> None: """Multi-species variable constructor arguments. Arguments @@ -516,15 +522,12 @@ def __init__(self, name: str, *, note=None, _vars=None) -> None: _vars : VariablesRegistry, optional the variables registry object of the model this variable was added to, by default None """ - if _vars is not None and name in _vars: - raise KeyExistsError("This variable name is already taken") - elif name in RESERVED_NAMES: + if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") self.name: str = name """The name/ID of this variable, must be a valid EPANET/MSX ID""" self.note = note """A note related to this variable""" - self._vars: VariablesRegistry = _vars @abstractproperty def var_type(self) -> QualityVarType: @@ -534,4 +537,70 @@ def var_type(self) -> QualityVarType: @abstractmethod def to_dict(self) -> Dict[str, Any]: """Represent the object as a dictionary""" - raise NotImplementedError \ No newline at end of file + raise NotImplementedError + + def __str__(self) -> str: + return self.name + + def __repr__(self) -> str: + return ( + "{}(".format(self.__class__.__name__) + + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) + + ")" + ) + + +class WaterQualityReactionSystem(ABC): + """Abstract class for reaction systems, which contains variables and reaction expressions. + + This class contains the functions necessary to perform as a mapping view onto the + **variables** defined, by their name. + """ + + def __init__(self) -> None: + self._vars = DisjointMapping() + self._rxns = dict() + + @abstractmethod + def add_variable(self, obj: WaterQualityVariable) -> None: + """Add a variable to the system""" + raise NotImplementedError + + @abstractmethod + def add_reaction(self, obj: WaterQualityReaction) -> None: + """Add a reaction to the system""" + raise NotImplementedError + + @abstractmethod + def all_variables(self): + """A generator looping through all variables""" + raise NotImplementedError + + @abstractmethod + def all_reactions(self): + """A generator looping through all reactions""" + raise NotImplementedError + + @abstractmethod + def to_dict(self): + """Represent the reaction system as a dictionary""" + raise NotImplementedError + + def __contains__(self, __key: object) -> bool: + return self._vars.__contains__(__key) + + def __eq__(self, __value: object) -> bool: + return self._vars.__eq__(__value) + + def __ne__(self, __value: object) -> bool: + return self._vars.__ne__(__value) + + def __getitem__(self, __key: str) -> WaterQualityVariable: + return self._vars.__getitem__(__key) + + def __iter__(self) -> Iterator: + return self._vars.__iter__() + + def __len__(self) -> int: + return self._vars.__len__() + \ No newline at end of file diff --git a/wntr/quality/library.py b/wntr/quality/library.py index db2dea20a..482523877 100644 --- a/wntr/quality/library.py +++ b/wntr/quality/library.py @@ -4,54 +4,39 @@ r"""A library of common multispecies reactions. -Values in libarary are currently for test purposes only. These highlight the -reaction form/relationships but do not provide the specific system kinetics. -In all cases, updates will be necessary to use a specific model with a specific -network; that is, sources, pipes, nodes are for a given network, and must be -updated for different water network models. Citations are provided for the -reaction values and models. -Notes ------ -.. important:: +.. rubric:: Environment Variable - The docstrings you will write will likely use mathematics, as with the - models already provided. You will need to make them "raw" strings - e.g., - ``r'''docstring'''``. This is because most LaTeX commands will use ``\`` - characters in the commands, which can mess up documentation unless the docstrings - are specified as raw, not interpreted, text. +.. envvar:: WNTR_RXN_LIBRARY_PATH -.. important:: - - Make sure to provide all appropriate references to the model in your creation - function. - -.. _msx_library_note: - -.. rubric:: Note regarding functions within the library that accept a water network model - -If a water network is provided that does not have an ``msx`` attribute, then a new model will be -created and added to the network. The new model will also be returned as an object. - -If a water network is provided that already has an ``msx`` attribute, then this function will: -first check to see if there are variables that are in conflict with the existing reaction -model. If there are conflicts, an exception will be raised. The :attr:`~MultispeciesOptions.area_units` -and :attr:`~MultispeciesOptions.rate_units` will also be checked for conflicts, and an exception raised -if they differ from the already-existing units. -If there are no conflicts, then the variables and reactions for this model will be added to the -existing model. If there are conflicts, then the user must resolve them and try again. + This environment variable, if set, will add additional folder(s) to the + path to search for quality model files, (files with an ".msx", ".yaml", + or ".json" file extension). + Multiple folders should be separated using the "``;``" character. + See :class:`~wntr.quality.library.ReactionLibrary` for more details. """ import logging +import os +from typing import Any, ItemsView, Iterator, KeysView, List, Tuple, Union, ValuesView +from pkg_resources import resource_filename -from wntr.quality.multispecies import MultispeciesQualityModel -from wntr.network.model import WaterNetworkModel from .multispecies import MultispeciesQualityModel -from .base import LocationType, SpeciesType, DynamicsType +from .base import ReactionType, SpeciesType, DynamicsType -PIPE = LocationType.PIPE -TANK = LocationType.TANK +import json + +try: + import yaml + + yaml_err = None +except ImportError as e: + yaml = None + yaml_err = e + +PIPE = ReactionType.PIPE +TANK = ReactionType.TANK BULK = SpeciesType.BULK WALL = SpeciesType.WALL RATE = DynamicsType.RATE @@ -60,25 +45,6 @@ logger = logging.getLogger(__name__) -__all__ = [ - "cite_msx", - "nicotine", - "nicotine_ri", - "lead_ppm", - "arsenic_chloramine", - "batch_chloramine_decay", -] - -########################################## -## -## IMPORTANT NOTE FOR CONTRIBUTORS -## -## The docstrings you write will likely use mathematics, as with the models already provided. -## you will need to make them "raw" strings -- i.e., r"""adocstring""" -## This is because most latex/mathjax formats use \ characters, which mess up docscrape -## unless you mark the string as raw, not interpreted, text. -## - def cite_msx() -> dict: """A citation generator for the EPANET-MSX user guide. @@ -103,626 +69,350 @@ def cite_msx() -> dict: # ) -# FIXME: Need to actually do the checks and adding to the wn - - -# ===================== Nicotine-chlorine model -# -def nicotine(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: - r"""Create a new nicotine-chlorine reaction model, and optionally attach it to a water network model. - - Parameters - ---------- - wn : WaterNetworkModel, optional - the water network to use to hold the new or updated reaction model, by default None - - Returns - ------- - MultispeciesQualityModel - the new or updated reaction/quality model - - Model Description - ----------------- - This model defines a simple nicotine-chlorine reaction. The model only defines bulk species - and does not specify any tank reactions. There is no reactive intermediate species in this - implementation, see :func:`nicotine_ri` for a model with a reactive intermediary. - - Bulk species - .. math:: - - Nx &:= \mathrm{mg}_\mathrm{(Nic)}~\text{[nicotine]} \\ - HOCL &:= \mathrm{mg}_\mathrm{(Cl)}~\text{[chlorine]} +class ReactionLibrary: + """A library of multispecies reaction definitions. - Coefficients - .. math:: + This object can be accessed and treated like a dictionary, where keys are the model + names and the values are the model objects. - k_d &= 2.33 \times 10^{-3}~\mathrm{min}^{-1} \\ - k_1 &= 5.92 \times 10^{-2}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Nic)}}^{-1} \\ - k_2 &= 1.83 \times 10^{-1}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Cl)}}^{-1} + The initialization sets up a list of paths, but *will not* + automatically read the files in them (use :meth:`load_all` for this). + The paths are added in the following order: - Other terms - .. math:: + 1. the builtin directory of reactions, + 2. any paths specified in the environment variable described below, with directories listed + first having the highest priority, + 3. any extra paths specified in the constructor, searched in the order provided. - RxCl &= k_d \, HOCL + k_1 \, Nx \, HOCL \\ - RxN &= k_2 \, Nx \, HOCL - - Pipe reactions - .. math:: - - \frac{d}{dt}Nx &= -RxN \\ - \frac{d}{dt}HOCL &= -RxCl - - The tank reactions are not explicitly defined in this model. - - - Notes - ----- - Please see `msx_library_note`_ for information on how a model that is passed in should be handled. - - """ - msx = MultispeciesQualityModel() - msx.name = "nicotine" - msx.title = ("Nicotine - Chlorine reaction",) - msx.options.area_units = "m2" - msx.options.rate_units = "min" - msx.options.timestep = 1 - msx.add_species("Nx", "bulk", units="mg", note="Nicotine") - msx.add_species(name="HOCL", species_type=BULK, units="mg", note="Free chlorine") - msx.add_constant("kd", value=2.33e-3, units="min^(-1)", note="decay rate") - msx.add_constant( - "K1", - value=5.92e-2, - units="L * min^(-1) * mg^(-1)", - note="decay constant for chlorine as function of mass(Nic)", - ) - msx.add_constant( - "K2", - value=1.84e-1, - units="L * min^(-1) * mg^(-1)", - note="decay constant for nicotine as function of mass(Cl)", - ) - msx.add_term("RxCl", expression="kd * HOCL + K1 * Nx * HOCL") - msx.add_term("RxN", expression="K2 * Nx * HOCL") - msx.add_reaction(species="Nx", location="pipe", dynamics_type="rate", expression="-RxN") - msx.add_reaction("HOCL", PIPE, dynamics_type=RATE, expression="-RxCl") - return msx - - -# ===================== Nicotine-chlorine reactive intermediate species -# -def nicotine_ri(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: - r"""A nicotine-chlorine reaction with a reactive intermediate. - - Parameters - ---------- - wn : WaterNetworkModel, optional - the water network to use to hold the new or updated reaction model, by default None - - Returns - ------- - MultispeciesQualityModel - the new or updated reaction/quality model - - Model Description - ----------------- - This model defines a simple nicotine-chlorine reaction with a reactive intermediate species. - The model only defines bulk species, and the pipe and tank reactions use the same expressions. - For a simpler model, see :func:`nicotine`. - - Bulk species - .. math:: - Nx &:= \mathrm{mg}_\mathrm{(Nic)}~\text{[nicotine]} \\ - HOCL &:= \mathrm{mg}_\mathrm{(Cl)}~\text{[chlorine]} \\ - NX2 &:= \mathrm{mg}_\mathrm{(Nic_2)}~\text{[reaction~intermediary]} - - Coefficients - .. math:: - k_d &= 3.0 \times 10^{-5}~\mathrm{min}^{-1} \\ - k_1 &= 9.75 \times 10^{-2}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Nic)}}^{-1}\\ - k_2 &= 5.73 \times 10^{-1}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Cl)}}^{-1}\\ - K_3 &= 1.34 \times 10^{-2}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Nic_2)}}^{-1}\\ - K_4 &= 2.19 \times 10^{-2}~\mathrm{L}\,\mathrm{min}^{-1}\,\mathrm{mg}_{\mathrm{(Cl)}}^{-1} - - Other terms - .. math:: - RXCL &= k_d \, HOCL + k_1 \, Nx \, HOCL + K_3 \, NX2 \, HOCL\\ - RXN &= k_2 \, Nx \, HOCL\\ - RXNX2 &= k_2 \, Nx \, HOCL - K_4 \, NX2 \, HOCL - - Pipe reactions and tank reactions *(defined separately for pipe and tank)* - .. math:: - \frac{d}{dt}Nx &= -RXN\\ - \frac{d}{dt}HOCL &= -RXCL\\ - \frac{d}{dt}HOCL &= RXNX2 - - Notes - ----- - If a water network is provided that does not have an ``msx`` attribute, then a new model will be - created and added to the network. The new model will also be returned as an object. - - If a water network is provided that already has an ``msx`` attribute, then this function will: - first check to see if there are variables that are in conflict with the existing reaction - model. If there are conflicts, an exception will be raised. The :attr:`~MultispeciesOptions.area_units` - and :attr:`~MultispeciesOptions.rate_units` will also be checked for conflicts, and an exception raised - if they differ. - If there are no conflicts, then the variables and reactions for this model will be added to the - existing model. If there are conflicts, then the user must resolve them and try again. + Once created, the library paths cannot be modified. However, a model can be added + to the library using the :meth:`add_model_from_file` or :meth:`add_models_from_dir` + methods. The precedence of the directories can be reversed based on the ``duplicates`` + argument passed to these functions. """ - msx = MultispeciesQualityModel() - msx.name = "nicotine_ri" - msx.title = ("Nicotine - Chlorine reaction with reactive intermediate",) - - # Set the options - msx.options.area_units = "m2" - msx.options.rate_units = "min" - msx.options.timestep = 1 - msx.options.atol = 1.0e-10 - msx.options.rtol = 1.0e-10 - - # Add species - msx.add_species("Nx", "bulk", units="mg", note="Nicotine") - msx.add_species("HOCL", BULK, units="mg", note="Free Chlorine") - msx.add_species("NX2", "b", units="mg", note="Intermediate Nicotine Reactive") - - # Add coefficients - msx.add_constant("kd", 3.0e-5, units="1/min", note="decay constant for chlorine over time") - msx.add_constant( - "K1", 9.75e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for chlorine as function of mass(Nic)" - ) - msx.add_constant("K2", 5.73e-1, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") - msx.add_constant( - "K3", 1.34e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Nic2)" - ) - msx.add_constant("K4", 2.19e-2, units="L * min^(-1) * mg^(-1)", note="decay constant for nicotine as function of mass(Cl)") - - # Add terms (named subexpressions) - msx.add_term("RXCL", "kd * HOCL + K1 * Nx * HOCL + K3 * NX2 * HOCL") - msx.add_term("RXN", "K2 * Nx * HOCL") - msx.add_term("RXNX2", "K2 * Nx * HOCL - K4 * NX2 * HOCL") - - # Add pipe reactions, one per species - msx.add_reaction("Nx", "pipe", "RATE", "-RXN") - msx.add_reaction("HOCL", PIPE, RATE, "-RXCL") - msx.add_reaction("NX2", "p", "r", "RXNX2") - - # Tank reactions actually aren't necessary since there aren't any wall species - # but it is good form to add them anyway - msx.add_reaction("Nx", "tank", "rate", "-RXN") - msx.add_reaction("HOCL", TANK, RATE, "-RXCL") - msx.add_reaction("NX2", "t", "r", "RXNX2") - return msx - - -# ===================== Lead plumbosolvency model -# -def lead_ppm(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: - r"""A lead plumbosolvency model; please cite [BWMS20]_ if you use this model. - - Parameters - ---------- - wn : WaterNetworkModel, optional - the water network to use to hold the new or updated reaction model, by default None - - - Returns - ------- - MultispeciesQualityModel - the new or updated reaction/quality model - - - Model Description - ----------------- - This model is described in [BWMS20]_, and represents plumbosolvency of lead in lead pipes - within a dwelling. - - Bulk species - .. math:: - PB2 := \mathrm{μg}_\mathrm{(Pb)}~\text{[lead]} - - Coefficients - .. math:: - M &= 0.117~\mathrm{μg}_{\mathrm{(Pb)}} \, \mathrm{m}^{-2} \, \mathrm{s}^{-1} \\ - E &= 140.0~\mathrm{μg}_{\mathrm{(Pb)}} \, \mathrm{L}^{-1} - - Parameters [1]_ - .. math:: - F\langle pipe\rangle = \left\{\begin{matrix}1&\mathrm{if}~pipe~\mathrm{is~lead},\\0&\mathrm{otherwise}\end{matrix}\right. - - Pipe reactions [2]_ - .. math:: - \frac{d}{dt}PB2 = F \, Av \, M \frac{\left( E - PB2 \right)}{E} - - Tank reactions - .. math:: - \frac{d}{dt}PB2 = 0 - - - References - ---------- - If this model is used, please cite the following paper(s). - - .. [BWMS20] - J. B. Burkhardt, et al. (2020) - "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". - `Journal of water resources planning and management`. - **146** (12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304 - - Notes - ----- - - .. [1] - The default value of a parameter is specified by "otherwise" in its mathematical definition. Because - the values of a parameter are network dependent, the non-global values will need to be added to any - parameter after the model is added to a network. - .. [2] - The hydraulic variable, :math:`Av`, is the surface area per unit volume (area units/L) of the pipe - where the reaction is taking place. See :numref:`table-msx-hyd-vars` for a list of valid names - for hydraulic variables that can be used in quality expressions. - """ - msx = MultispeciesQualityModel() - msx.name = "lead_ppm" - msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" - msx.desc = "Parameters for EPA HPS Simulator Model" - msx.references.append( - """J. B. Burkhardt, et al. (2020) "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". `Journal of water resources planning and management`. 146(12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304""" - # dict( - # entry_type="article", - # key="BWMS20", - # fields=dict( - # title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", - # year=2020, - # author=[ - # "Jonathan B. Burkhardt", - # "Hyoungmin Woo", - # "James Mason", - # "Feng Shang", - # "Simoni Triantafyllidou", - # "Michael R. Schock", - # "Darren Lytle", - # "Regan Murray", - # ], - # journaltitle="J Water Resour Plan Manag", - # volume=146, - # number=12, - # date="2020-12-01", - # doi="10.1061/(asce)wr.1943-5452.0001304", - # eprint=[ - # "PMID:33627937", - # "PMCID:PMC7898126", - # "NIHMSID:NIHMS1664627", - # ], - # ), - # ) - ) - msx.options = { - "report": { - "species": {"PB2": "YES"}, - "species_precision": {"PB2": 5}, - "nodes": "all", - "links": "all", - }, - "timestep": 1, - "area_units": "M2", - "rate_units": "SEC", - "rtol": 1e-08, - "atol": 1e-08, - } - PB2 = msx.add_species(name="PB2", species_type=BULK, units="ug", note="dissolved lead (Pb)") - msx.add_constant("M", 0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") - msx.add_constant("E", 140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") - msx.add_parameter("F", global_value=0, note="determines which pipes have reactions") - PB2.add_reaction("pipes", "RATE", expression="F * Av * M * (E - PB2) / E") - PB2.add_reaction("tanks", RATE, expression="0") - return msx - - -def arsenic_chloramine(wn: WaterNetworkModel = None) -> MultispeciesQualityModel: - r"""Model monochloramine-arsenite-arsenate adsorption/desorption with fast equilibrium. - - Parameters - ---------- - wn : WaterNetworkModel, optional - the water network to use to hold the new or updated reaction model, by default None - - Returns - ------- - MultispeciesQualityModel - the new or updated reaction/quality model - - Model Description - ----------------- - This example models monochloramine oxidation of arsenite/arsenate and wall - adsorption/desorption, as given in section 3 of the EPANET-MSX user manual. - - The system of equations for the reaction in pipes is given in Eq. (2.4) through (2.7) - in [SRU23]_. - - .. math:: - - \frac{d}{dt}{(\mathsf{As}^\mathrm{III})} &= -k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2Cl})} \\ - \frac{d}{dt}{(\mathsf{As}^\mathrm{V})} &= k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2CL})} - Av \left( k_1 \left(S_\max - {(\mathsf{As}^\mathrm{V}_s)} \right) {(\mathsf{As}^\mathrm{V})} - k_2 ~ {(\mathsf{As}^\mathrm{V}_s)} \right) \\ - \frac{d}{dt}{(\mathsf{NH_2Cl})} &= -k_b ~ {(\mathsf{NH_2Cl})} \\ - {(\mathsf{As}^\mathrm{V}_s)} &= \frac{k_s ~ S_\max ~ {(\mathsf{As}^\mathrm{V})}}{1 + k_s {(\mathsf{As}^\mathrm{V})}} - - - where the various species, coefficients, and expressions are described in the tables below. - - - .. list-table:: Options - :header-rows: 1 - :widths: 3 3 10 - - * - Option - - Code - - Description - * - Rate units - - "HR" - - :math:`\mathrm{h}^{-1}` - * - Area units - - "M2" - - :math:`\mathrm{m}^2` - - - .. list-table:: Species - :header-rows: 1 - :widths: 2 2 2 3 4 6 - - * - Name - - Type - - Value - - Symbol - - Units - - Note - * - AS3 - - Bulk - - "UG" - - :math:`{\mathsf{As}^\mathrm{III}}` - - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` - - dissolved arsenite - * - AS5 - - Bulk - - "UG" - - :math:`{\mathsf{As}^\mathrm{V}}` - - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` - - dissolved arsenate - * - AStot - - Bulk - - "UG" - - :math:`{\mathsf{As}^\mathrm{tot}}` - - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` - - dissolved arsenic (total) - * - NH2CL - - Bulk - - "MG" - - :math:`{\mathsf{NH_2Cl}}` - - :math:`\mathrm{mg~L^{-1}}` - - dissolved monochloramine - * - AS5s - - Wall - - "UG" - - :math:`{\mathsf{As}^\mathrm{V}_{s}}` - - :math:`\require{upgreek}\upmu\mathrm{g}~\mathrm{m}^{-2}` - - adsorped arsenate (surface) - - - .. list-table:: Coefficients [1]_ - :header-rows: 1 - :widths: 2 2 2 3 4 6 - - * - Name - - Type - - Value - - Symbol - - Units - - Note - * - Ka - - Const - - :math:`10` - - :math:`k_a` - - :math:`\mathrm{mg}^{-1}_{\left(\mathsf{NH_2Cl}\right)}~\mathrm{h}^{-1}` - - arsenite oxidation - * - Kb - - Const - - :math:`0.1` - - :math:`k_b` - - :math:`\mathrm{h}^{-1}` - - chloromine decay - * - K1 - - Const - - :math:`5.0` - - :math:`k_1` - - :math:`\require{upgreek}\textrm{L}~\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{h}^{-1}` - - arsenate adsorption - * - K2 - - Const - - :math:`1.0` - - :math:`k_2` - - :math:`\textrm{L}~\mathrm{h}^{-1}` - - arsenate desporbtion - * - Smax - - Const - - :math:`50.0` - - :math:`S_{\max}` - - :math:`\require{upgreek}\upmu\mathrm{g}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{m}^{-2}` - - arsenate adsorption limit - - - .. list-table:: Other terms - :header-rows: 1 - :widths: 3 3 12 3 - - * - Name - - Symbol - - Expression - - Units - * - Ks - - :math:`k_s` - - :math:`{k_1}/{k_2}` - - :math:`\require{upgreek}\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}` - - - .. list-table:: Pipe reactions [2]_ - :header-rows: 1 - :widths: 3 3 16 - - * - Species - - Type - - Expression - * - AS3 - - Rate - - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` - * - AS5 - - Rate - - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}} -Av \left( k_1 \left(S_{\max}-{\mathsf{As}^\mathrm{V}_{s}} \right) {\mathsf{As}^\mathrm{V}} - k_2 \, {\mathsf{As}^\mathrm{V}_{s}} \right)` - * - NH2CL - - Rate - - :math:`-k_b \, {\mathsf{NH_2Cl}}` - * - AStot - - Formula - - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` - * - AS5s - - Equil - - :math:`k_s \, S_{\max} \frac{{\mathsf{As}^\mathrm{V}}}{1 + k_s \, {\mathsf{As}^\mathrm{V}}} - {\mathsf{As}^\mathrm{V}_{s}}` - - - .. list-table:: Tank reactions - :header-rows: 1 - :widths: 3 3 16 - - * - Species - - Type - - Expression - * - AS3 - - Rate - - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` - * - AS5 - - Rate - - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` - * - NH2CL - - Rate - - :math:`-k_b \, {\mathsf{NH_2Cl}}` - * - AStot - - Formula - - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` - * - AS5s - - Equil - - :math:`0` (`not present in tanks`) - References - ---------- - This model is described in the EPANET-MSX user manual [SRU23]_ and was simplified from [GSCL94]_. - - .. [GSCL94] - B. Gu, J. Schmitt, Z. Chen, L. Liang, and J.F. McCarthy. "Adsorption and desorption of - natural organic matter on iron oxide: mechanisms and models". Environ. Sci. Technol., 28:38-46, January 1994. - - Notes - ----- - - .. [1] - The volume unit, :math:`\textrm{L}`, is defined by the network model flow units. - .. [2] - The :math:`Av` variable is the surface area per unit volume for the network (by pipe). - In this model, it has units of :math:`\mathrm{m}^{2} / \mathrm{L}` - """ - msx = MultispeciesQualityModel() - msx.title = "Arsenic Oxidation/Adsorption Example" - msx.add_species(name="AS3", species_type="BULK", units="UG", note="Dissolved arsenite") - msx.add_species(name="AS5", species_type="BULK", units="UG", note="Dissolved arsenate") - msx.add_species(name="AStot", species_type="BULK", units="UG", note="Total dissolved arsenic") - msx.add_species(name="AS5s", species_type="WALL", units="UG", note="Adsorbed arsenate") - msx.add_species(name="NH2CL", species_type="BULK", units="MG", note="Monochloramine") - msx.add_constant("Ka", 10.0, units="1 / (MG * HR)", note="Arsenite oxidation rate coefficient") - msx.add_constant("Kb", 0.1, units="1 / HR", note="Monochloramine decay rate coefficient") - msx.add_constant("K1", 5.0, units="M^3 / (UG * HR)", note="Arsenate adsorption coefficient") - msx.add_constant("K2", 1.0, units="1 / HR", note="Arsenate desorption coefficient") - msx.add_constant("Smax", 50.0, units="UG / M^2", note="Arsenate adsorption limit") - msx.add_term(name="Ks", expression="K1/K2", note="Equil. adsorption coeff.") - msx.add_reaction( - species="AS3", location="pipes", dynamics_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" - ) - msx.add_reaction( - "AS5", "pipes", "rate", "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", note="Arsenate production less adsorption" - ) - msx.add_reaction( - species="NH2CL", location="pipes", dynamics_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" - ) - msx.add_reaction("AS5s", "pipe", "equil", "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", note="Arsenate adsorption") - msx.add_reaction(species="AStot", location="pipes", dynamics_type="formula", expression="AS3 + AS5", note="Total arsenic") - msx.add_reaction( - species="AS3", location="tank", dynamics_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" - ) - msx.add_reaction( - species="AS5", location="tank", dynamics_type="rate", expression="Ka*AS3*NH2CL", note="Arsenate production" - ) - msx.add_reaction( - species="NH2CL", location="tank", dynamics_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" - ) - msx.add_reaction(species="AStot", location="tanks", dynamics_type="formula", expression="AS3 + AS5", note="Total arsenic") - msx.options.area_units = "M2" - msx.options.rate_units = "HR" - msx.options.rtol = 0.001 - msx.options.atol = 0.0001 - msx.references.append(cite_msx()) - return msx - - -def batch_chloramine_decay(wn=None): - msx = MultispeciesQualityModel() - msx.title = "Batch chloramine decay example" - msx.options.area_units = "ft2" - msx.options.rate_units = "hr" - - msx.add_species("HOCL", "bulk", "mol", note="hypochlorous acid") - msx.add_species("NH3", "bulk", "mol", note="ammonia") - msx.add_species("NH2CL", "bulk", "mol", note="monochloramine") - msx.add_species("NHCL2", "bulk", "mol", note="dichloramine") - msx.add_species("I", "bulk", "mol", note="unknown intermediate") - msx.add_species("OCL", "bulk", "mol", note="hypochlorite ion") - msx.add_species("NH4", "bulk", "mol", note="ammonium ion") - msx.add_species("ALK", "bulk", "mol", note="total alkalinity") - msx.add_species("H", "bulk", "mol", note="hydrogen ion") - msx.add_species("OH", "bulk", "mol", note="hydroxide ion") - msx.add_species("CO3", "bulk", "mol", note="carbonate ion") - msx.add_species("HCO3", "bulk", "mol", note="bicarbonate ion") - msx.add_species("H2CO3", "bulk", "mol", note="dissolved carbon dioxide") - msx.add_species("chloramine", "bulk", "mmol", note="monochloramine in mmol/L") - - msx.add_parameter("k1", 1.5e10) - msx.add_parameter("k2", 7.6e-2) - msx.add_parameter("k3", 1.0e6) - msx.add_parameter("k4", 2.3e-3) - msx.add_parameter("k6", 2.2e8) - msx.add_parameter("k7", 4.0e5) - msx.add_parameter("k8", 1.0e8) - msx.add_parameter("k9", 3.0e7) - msx.add_parameter("k10", 55.0) - - msx.add_term("k5", "(2.5e7*H) + (4.0e4*H2CO3) + (800*HCO3)") - msx.add_term("a1", "k1 * HOCL * NH3") - msx.add_term("a2", "k2 * NH2CL") - msx.add_term("a3", "k3 * HOCL * NH2CL") - msx.add_term("a4", "k4 * NHCL2") - msx.add_term("a5", "k5 * NH2CL * NH2CL") - msx.add_term("a6", "k6 * NHCL2 * NH3 * H") - msx.add_term("a7", "k7 * NHCL2 * OH") - msx.add_term("a8", "k8 * I * NHCL2") - msx.add_term("a9", "k9 * I * NH2CL") - msx.add_term("a10", "k10 * NH2CL * NHCL2") - - msx.add_reaction("HOCL", PIPE, RATE, "-a1 + a2 - a3 + a4 + a8") - msx.add_reaction("NH3", PIPE, RATE, "-a1 + a2 + a5 - a6") - msx.add_reaction("NH2CL", PIPE, RATE, "a1 - a2 - a3 + a4 - a5 + a6 - a9 - a10") - msx.add_reaction("NHCL2", PIPE, RATE, "a3 - a4 + a5 - a6 - a7 - a8 - a10") - msx.add_reaction("I", PIPE, RATE, "a7 - a8 - a9") - msx.add_reaction("H", PIPE, RATE, "0") - msx.add_reaction("ALK", PIPE, RATE, "0") - msx.add_reaction("OCL", PIPE, EQUIL, "H * OCL - 3.16E-8 * HOCL") - msx.add_reaction("NH4", PIPE, EQUIL, "H * NH3 - 5.01e-10 * NH4") - msx.add_reaction("CO3", PIPE, EQUIL, "H * CO3 - 5.01e-11 * HCO3") - msx.add_reaction("H2CO3", PIPE, EQUIL, "H * HCO3 - 5.01e-7 * H2CO3") - msx.add_reaction("HCO3", PIPE, EQUIL, "ALK - HC03 - 2*CO3 - OH + H") - msx.add_reaction("OH", PIPE, EQUIL, "H * OH - 1.0e-14") - msx.add_reaction("chloramine", PIPE, FORMULA, "1000 * NH2CL") - - return msx + def __init__(self, extra_paths: List[str] = None, include_builtins=True, include_envvar_paths=True, load=True) -> None: + """A library of multispecies reaction definitions. + + Parameters + ---------- + extra_paths : List[str], optional + _description_, by default None + include_builtins : bool, optional + load files built-in with wntr, by default True + include_envvar_paths : bool, optional + load files from the paths specified in :envvar:`WNTR_RXN_LIBRARY_PATH`, by default True + load : bool, optional + load the files immediately on creation, by default True + + If this is a string, then it will be passed as the `duplicates` argument + to the load function. See :meth:`reset_and_reload` for more details. + + Raises + ------ + TypeError + if `extra_paths` is not a list + """ + if extra_paths is None: + extra_paths = list() + elif not isinstance(extra_paths, (list, tuple)): + raise TypeError("Expected a list or tuple, got {}".format(type(extra_paths))) + + self.__library_paths = list() + + self.__data = dict() + + if include_builtins: + default_path = os.path.abspath(resource_filename(__name__, "_library_data")) + if default_path not in self.__library_paths: + self.__library_paths.append(default_path) + + if include_envvar_paths: + environ_path = os.environ.get("WNTR_RXN_LIBRARY_PATH", None) + if environ_path: + lib_folders = environ_path.split(";") + for folder in lib_folders: + if folder not in self.__library_paths: + self.__library_paths.append(os.path.abspath(folder)) + + for folder in extra_paths: + self.__library_paths.append(os.path.abspath(folder)) + if load: + if isinstance(load, str): + self.reset_and_reload(duplicates=load) + else: + self.reset_and_reload() + + def __repr__(self) -> str: + if len(self.__library_paths > 3): + return "{}(initial_paths=[{}, ..., {}])".format( + self.__class__.__name__, repr(self.__library_paths[0]), repr(self.__library_paths[-1]) + ) + return "{}({})".format(self.__class__.__name__, repr(self.__library_paths)) + + def path_list(self) -> List[str]: + """Get the original list of paths used for this library. + + Returns + ------- + List[str] + a copy of the paths used to **initially** populate this library + """ + return self.__library_paths.copy() + + def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, Any]]: + """Load data from the configured directories into a library of models. + + Note, this function is not recursive and does not 'walk' any of the library's + directories to look for subfolders. + + The ``duplicates`` argument specifies how models that have the same name, + or that have the same filename if a name isn't specified in the file, + are handled. This effectively changes the priority of the library's data + directories specified during library creation. + **Warning**, if two files in the same directory have models + with the same name, there is no guarantee which will be read in first. + + Parameters + ---------- + duplicates : {"error" | "skip" | "replace"}, optional + how to handle models with the same name, by default ``"error"``. + + A value of of ``"error"`` raises an exception and stops execution. A value of ``"skip"`` will + skip models with the same `name` as a model that already exists in the + library (prioritizing directories as described in the :class:`ReactionLibrary` + documentation). A value of ``"replace"`` will replace any existing model + with a model that is read in that has the same `name` (effecitvely, this + reverses the precedence of the library's configured directories by + prioritizing models in the last + user-specified directories, then models in the paths in envvar in reverse order, if + applicable, and giving lowest priority to builtin models). + + Raises + ------ + TypeError + if `duplicates` is not a string + ValueError + if `duplicates` is not a valid value + IOError + if `path_to_folder` is not a directory + KeyError + if `duplicates` is ``"error"`` and two models have the same name + + Returns + ------- + List[Tuple[str, str, Any]] + files that caused problems, with tuple elements: + + 0. the full path to the file that caused a problem; + 1. the reason for the problem; + 2. the model that was *not* included, or was removed, + or the exception that was raised when trying to read the file + """ + if duplicates and not isinstance(duplicates, str): + raise TypeError("The `duplicates` argument must be None or a string") + elif duplicates.lower() not in ["error", "skip", "replace"]: + raise ValueError('The `duplicates` argument must be None, "error", "skip", or "replace"') + + load_errors = list() + for folder in self.__library_paths: + errs = self.add_models_from_dir(folder, duplicates=duplicates) + load_errors.extend(errs) + return load_errors + + def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> List[Tuple[str, str, Union[MultispeciesQualityModel, Exception]]]: + """Load all valid model files in a folder. + + Note, this function is not recursive and does not 'walk' a directory tree. + + The ``duplicates`` argument specifies how models that have the same name, + or that have the same filename if a name isn't specified in the file, + are handled. **Warning**, if two files in the same directory have models + with the same name, there is no guarantee which will be read in first. + + + Parameters + ---------- + path_to_dir : str + the path to the folder to search + duplicates : {"error", "skip", "replace"}, optional + how to handle models with the same name, by default ``"error"`` + + A value of of ``"error"`` raises an exception and stops execution. A value + of ``"skip"`` will skip models with the same `name` as a model that already + exists in the library. A value of ``"replace"`` will replace any existing model + with a model that is read in that has the same `name`. + + Raises + ------ + TypeError + if `duplicates` is not a string + ValueError + if `duplicates` is not a valid value + IOError + if `path_to_folder` is not a directory + KeyError + if `duplicates` is ``"error"`` and two models have the same name + + Returns + ------- + str + the full path to the file that caused a problem; + str + the reason for the problem; + object + the model that was not included, was removed, or the exception raised + """ + if duplicates and not isinstance(duplicates, str): + raise TypeError("The `duplicates` argument must be None or a string") + elif duplicates.lower() not in ["error", "skip", "replace"]: + raise ValueError('The `duplicates` argument must be None, "error", "skip", or "replace"') + if not os.path.isdir(path_to_dir): + raise IOError("The following path is not valid/not a folder, {}".format(path_to_dir)) + load_errors = list() + folder = path_to_dir + files = os.listdir(folder) + for file in files: + ext = os.path.splitext(file)[1] + if ext is None or ext.lower() not in [".msx", ".json", ".yaml"]: + continue + if ext.lower() == ".msx": + try: + new = MultispeciesQualityModel(file) + except Exception as e: + logger.exception("Error reading file {}".format(os.path.join(folder, file))) + load_errors.append((os.path.join(folder, file), "load-failed", e)) + continue + elif ext.lower() == ".json": + with open(os.path.join(folder, file), "r") as fin: + try: + new = MultispeciesQualityModel.from_dict(json.load(fin)) + except Exception as e: + logger.exception("Error reading file {}".format(os.path.join(folder, file))) + load_errors.append((os.path.join(folder, file), "load-failed", e)) + continue + elif ext.lower() == ".yaml": + if yaml is None: + logger.exception("Error reading file {}".format(os.path.join(folder, file)), exc_info=yaml_err) + load_errors.append((os.path.join(folder, file), "load-failed", yaml_err)) + continue + with open(os.path.join(folder, file), "r") as fin: + try: + new = MultispeciesQualityModel.from_dict(yaml.safe_load(fin)) + except Exception as e: + logger.exception("Error reading file {}".format(os.path.join(folder, file))) + load_errors.append((os.path.join(folder, file), "load-failed", e)) + continue + else: # pragma: no cover + raise RuntimeError("This should be impossible to reach, since `ext` is checked above") + new._orig_file = os.path.join(folder, file) + if not new.name: + new.name = os.path.splitext(os.path.split(file)[1])[0] + if new.name not in self.__data: + self.__data[new.name] = new + else: # this name exists in the library + name = new.name + if not duplicates or duplicates.lower() == "error": + raise KeyError( + 'A model named "{}" already exists in the model; failed processing "{}"'.format( + new.name, os.path.join(folder, file) + ) + ) + elif duplicates.lower() == "skip": + load_errors.append((new._orig_file, "skipped", new)) + continue + elif duplicates.lower() == "replace": + old = self.__data[name] + load_errors.append((old._orig_file, "replaced", old)) + self.__data[name] = new + else: # pragma: no cover + raise RuntimeError("This should be impossible to get to, since `duplicates` is checked above") + return load_errors + + def add_model_from_file(self, path_and_filename: str, name: str = None): + """Load a reaction model from a file and add it to the model. + + Note, this **does not check** to see if a model exists with the same + name, and it will automatically overwrite the existing model if one + does exist. + + Parameters + ---------- + path_to_file : str + The full path **and** filename where the model is described. + name : str + The name to use for the model instead of the name provided in the + file or the filename. + """ + if not os.path.isfile(path_and_filename): + raise IOError("The following path does not identify a file, {}".format(path_and_filename)) + + ext = os.path.splitext(path_and_filename)[1] + if ext is None or ext.lower() not in [".msx", ".json", ".yaml"]: + raise IOError("The file is in an unknown format, {}".format(ext)) + if ext.lower() == ".msx": + new = MultispeciesQualityModel(path_and_filename) + elif ext.lower() == ".json": + with open(path_and_filename, "r") as fin: + new = MultispeciesQualityModel.from_dict(json.load(fin)) + elif ext.lower() == ".yaml": + if yaml is None: + raise RuntimeError("Unable to import yaml") from yaml_err + with open(path_and_filename, "r") as fin: + new = MultispeciesQualityModel.from_dict(yaml.safe_load(fin)) + else: # pragma: no cover + raise RuntimeError("This should be impossible to reach, since ext is checked above") + new._orig_file = path_and_filename + if not new.name: + new.name = os.path.splitext(os.path.split(path_and_filename)[1])[0] + if name is not None: + new.name = name + self.__data[new.name] = new + + def get_model(self, name: str) -> MultispeciesQualityModel: + """Get a reaction model from the library by model name + + Parameters + ---------- + name : str + the name of the model + + Returns + ------- + MultispeciesQualityModel + the model + """ + return self.__data[name] + + def model_name_list(self) -> List[str]: + """Get a list of model names in the library""" + return list(self.keys()) + + def __getitem__(self, __key: Any) -> Any: + return self.__data.__getitem__(__key) + + def __setitem__(self, __key: Any, __value: Any) -> None: + return self.__data.__setitem__(__key, __value) + + def __delitem__(self, __key: Any) -> None: + return self.__data.__delitem__(__key) + + def __contains__(self, __key: object) -> bool: + return self.__data.__contains__(__key) + + def __iter__(self) -> Iterator: + return self.__data.__iter__() + + def __len__(self) -> int: + return self.__data.__len__() + + def keys(self) -> KeysView: + return self.__data.keys() + + def items(self) -> ItemsView: + return self.__data.items() + + def values(self) -> ValuesView: + return self.__data.values() + + def clear(self) -> None: + return self.__data.clear() diff --git a/wntr/quality/multispecies.py b/wntr/quality/multispecies.py index a29e664e3..d96897b08 100644 --- a/wntr/quality/multispecies.py +++ b/wntr/quality/multispecies.py @@ -4,31 +4,34 @@ """ +from abc import abstractproperty import logging from typing import ( Any, Callable, Dict, - Iterator, List, Tuple, Union, ) +import warnings from wntr.epanet.util import ENcomment from wntr.network.elements import Source from wntr.network.model import PatternRegistry, SourceRegistry, WaterNetworkModel -from wntr.quality.base import WaterQualityReaction, WaterQualityVariable from wntr.utils.disjoint_mapping import DisjointMapping, KeyExistsError from .base import ( + WaterQualityReaction, + WaterQualityReactionSystem, + WaterQualityVariable, EXPR_TRANSFORMS, HYDRAULIC_VARIABLES, EXPR_FUNCTIONS, DynamicsType, - LocationType, + ReactionType, QualityVarType, SpeciesType, AnnotatedFloat, @@ -44,7 +47,7 @@ has_sympy = True except ImportError: sympy = None - logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") + logging.critical("This python installation does not have SymPy installed. " "Certain functionality will be disabled.") standard_transformations = (None,) convert_xor = None has_sympy = False @@ -60,7 +63,8 @@ "ReservedName", "HydraulicVariable", "MathFunction", - "VariableRegistry", + "Reaction", + "MultispeciesReactionSystem", "InitialQuality", "ParameterValues", "NetworkSpecificData", @@ -69,7 +73,19 @@ class Species(WaterQualityVariable): - """A biological or chemical species that impacts water quality.""" + """A biological or chemical species that impacts water quality. + + Attributes + ---------- + name : str + The name of the species + species_type : SpeciesType | str + The type of species, either "bulk" or "wall" + units : str + The units of mass used in expressions of concentration + diffusivity : float + The bulk diffusivity in water for bulk species + """ def __init__( self, @@ -81,15 +97,13 @@ def __init__( *, note=None, diffusivity: float = None, - pipe_reaction: "WaterQualityReaction" = None, - tank_reaction: "WaterQualityReaction" = None, _vars=None, _vals=None, ) -> None: """A biological or chemical species. - Arguments - --------- + Parameters + ---------- name : str The species name species_type : SpeciesType | str @@ -101,46 +115,37 @@ def __init__( rtol : float, optional The relative tolerance when solving this species' equations, by default None [1]_ - Keyword Arguments ----------------- note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure) + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure) diffusivity : float, optional Diffusivity of the species in water, by default None pipe_reaction : dict | MultispeciesReaction, optional Reaction dynamics of the species in pipes, by default None tank_reaction : dict | MultispeciesReaction, optional Reaction dynamics of the species in tanks, by default None - + _vars : VariableRegistry, optional + the variables registry object of the model this variable was added to, by default None + _vals : _type_, optional + _description_, by default None Raises ------ + KeyExistsError + if the name has already been used TypeError - if mandatory arguments are passed as None - TypeError - if a tank reaction is provided for a wall species - TypeError - if an invalid type is passed for a pipe or tank reaction + if mandatory arguments are passed as None; if a tank reaction is provided for a + wall species; if an invalid type is passed for a pipe or tank reaction .. [1] The `atol` and `rtol` arguments must both be None, or both be a float greater than 0. - - - .. rubric:: Developer-use Arguments - - The following function call parameters should only be used by a MultispeciesModel class - or model-building function; the user should not need to pass these arguments. - - Other Parameters - ---------------- - _vars : VariablesRegistry, optional - the variables registry object of the model this variable was added to, by default None - _vals : _type_, optional - _description_, by default None """ - super().__init__(name, note=note, _vars=_vars) + super().__init__(name, note=note) + if _vars is not None and name in _vars: + raise KeyExistsError("This variable name is already taken") species_type = SpeciesType.get(species_type) if species_type is None: raise TypeError("species_type cannot be None") @@ -154,34 +159,10 @@ def __init__( """ self.diffusivity: float = diffusivity """The diffusivity of this species in water, if being used, by default None""" - if species_type is SpeciesType.WALL and tank_reaction: - raise TypeError("Wall species tank_reaction must be None") - self.pipe_reaction: WaterQualityReaction = None - """The object that describes how this species reacts in pipes""" - self.tank_reaction: WaterQualityReaction = None - """The object that describes how this species reacts in tanks""" - if isinstance(pipe_reaction, WaterQualityReaction): - pipe_reaction.species = self - self.pipe_reaction = pipe_reaction - elif isinstance(pipe_reaction, dict): - pipe_reaction["location"] = "pipe" - pipe_reaction["species"] = self - self.pipe_reaction = self.add_reaction(**pipe_reaction) - elif pipe_reaction is None: - self.pipe_reaction = None + if _vars is not None and isinstance(_vars, MultispeciesReactionSystem): + self._vars = _vars else: - raise TypeError("The pipe_reaction is invalid") - if isinstance(tank_reaction, WaterQualityReaction): - tank_reaction.species = self - self.tank_reaction = tank_reaction - elif isinstance(tank_reaction, dict): - tank_reaction["location"] = "tank" - tank_reaction["species"] = self - self.tank_reaction = self.add_reaction(**tank_reaction) - elif tank_reaction is None: - self.tank_reaction = None - else: - raise TypeError("The tank_reaction is invalid") + self._vars = None if _vals is not None and isinstance(_vals, InitialQuality): self._vals = _vals else: @@ -221,8 +202,8 @@ def get_tolerances(self) -> Union[Tuple[float, float], None]: Returns ------- - (float, float) or None - absolute and relative tolerances, respectively, if they are set, otherwise returns None + Union[Tuple[float, float], None] + absolute and relative tolerances, respectively, if they are set """ return self._tolerances @@ -261,44 +242,20 @@ def initial_quality(self) -> "NetworkSpecificData": return self._vals else: raise TypeError("This species is not linked to a NetworkSpecificValues obejct, please `relink` your model") + + @property + def pipe_reaction(self): + if self._vars is not None: + return self._vars.pipe_reactions[self.name] + else: + raise AttributeError('This species is not connected to a ReactionSystem') - def add_reaction( - self, location: LocationType, dynamics_type: DynamicsType, expression: str, *, note: Any = None - ) -> "WaterQualityReaction": - """Add a reaction object to the species. - - Arguments - --------- - location : LocationType - where the reaction takes place, either PIPE or TANK - dynamics_type : DynamicsType - the type of dynamics described by the expression - expression : str - the reaction dynamics expression - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding the reaction, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Returns - ------- - MultispeciesReaction - the new reaction object - """ - location = LocationType.get(location, allow_none=False) - dynamics_type = DynamicsType.get(dynamics_type, allow_none=False) - new = WaterQualityReaction( - species=self, - dynamics_type=dynamics_type, - expression=expression, - note=note, - ) - if location is LocationType.PIPE: - self.pipe_reaction = new + @property + def tank_reaction(self): + if self._vars is not None: + return self._vars.tank_reactions[self.name] else: - self.tank_reaction = new - return new + raise AttributeError('This species is not connected to a ReactionSystem') def to_dict(self) -> Dict[str, Any]: """Create a dictionary representation of the object @@ -334,28 +291,6 @@ def to_dict(self) -> Dict[str, Any]: "diffusivity": { "type": "number", "minimum": 0 - }, - "pipe_reaction": { - "type": "object", - "properties": { - "dynamics_type": { - "enum": ["rate", "equil", "formula"] - }, - "expression": { - "type": "string" - } - } - }, - "tank_reaction": { - "type": "object", - "properties": { - "dynamics_type": { - "enum": ["rate", "equil", "formula"] - }, - "expression": { - "type": "string" - } - } } }, "required": ["name", "species_type", "units", "pipe_reaction", "tank_reaction"], @@ -375,16 +310,6 @@ def to_dict(self) -> Dict[str, Any]: elif isinstance(self.note, (str, dict, list)): ret["note"] = self.note - if self.pipe_reaction is not None: - pr = self.pipe_reaction.to_dict() - if "species" in pr: - del pr["species"] - ret["pipe_reaction"] = pr - if self.tank_reaction is not None: - tr = self.tank_reaction.to_dict() - if "species" in tr: - del tr["species"] - ret["tank_reaction"] = tr return ret @@ -401,29 +326,35 @@ def __init__(self, name: str, value: float, *, units: str = None, note=None, _va value : float The constant value. - Keyword Aguments - ---------------- + Keyword Arguments + ----------------- units : str, optional Units for the variable, by default None note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - - .. rubric:: Developer-use Arguments - - The following function call parameters should only be used by a MultispeciesModel class - or model-building function; the user should not need to pass these arguments. + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Other Parameters ---------------- _vars : VariablesRegistry, optional the variables registry object of the model this variable was added to, by default None """ - super().__init__(name, note=note, _vars=_vars) + super().__init__(name, note=note) + if _vars is not None and name in _vars: + raise KeyExistsError("This variable name is already taken") self.value = float(value) """The value of the constant""" self.units = units """The units of the constant""" + if _vars is not None and isinstance(_vars, MultispeciesReactionSystem): + self._vars = _vars + elif _vars is None: + self._vars = None + else: + raise TypeError("Invalid type for _vars") + + def __call__(self, *, t=None) -> Any: + return self.value @property def var_type(self) -> QualityVarType: @@ -440,9 +371,6 @@ def to_dict(self) -> Dict[str, Any]: ret["note"] = self.note return ret - def __call__(self, *, t=None) -> Any: - return self.value - class Parameter(WaterQualityVariable): """A coefficient that is parameterized by pipe/tank.""" @@ -462,13 +390,8 @@ def __init__(self, name: str, global_value: float, *, units: str = None, note=No units : str, optional The units for this parameter, by default None note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - - .. rubric:: Developer-use Arguments - - The following function call parameters should only be used by a MultispeciesModel class - or model-building function; the user should not need to pass these arguments. + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Other Parameters ---------------- @@ -478,26 +401,19 @@ def __init__(self, name: str, global_value: float, *, units: str = None, note=No Values for specific tanks or pipes, by default None. This argument should be passed by the MultispeciesModel during variable creation. """ - super().__init__(name, note=note, _vars=_vars) + super().__init__(name, note=note) + if _vars is not None and name in _vars: + raise KeyExistsError("This variable name is already taken") self.global_value = float(global_value) self.units = units + if _vars is not None and isinstance(_vars, MultispeciesReactionSystem): + self._vars = _vars + elif _vars is None: + self._vars = None + else: + raise TypeError("Invalid type for _vars") self._vals = _vals - @property - def var_type(self) -> QualityVarType: - """This is a parameterized coefficient.""" - return QualityVarType.PARAMETER - - def to_dict(self) -> Dict[str, Any]: - ret = dict(name=self.name, global_value=self.global_value) - if self.units: - ret["units"] = self.units - if isinstance(self.note, ENcomment): - ret["note"] = self.note.to_dict() - elif isinstance(self.note, (str, dict, list)): - ret["note"] = self.note - return ret - def __call__(self, *, t=None, pipe: float = None, tank: float = None) -> Any: if pipe is not None and tank is not None: raise TypeError("Both pipe and tank cannot be specified at the same time") @@ -509,6 +425,11 @@ def __call__(self, *, t=None, pipe: float = None, tank: float = None) -> Any: return self._vals.tank_values.get(pipe, self.global_value) return self.global_value + @property + def var_type(self) -> QualityVarType: + """This is a parameterized coefficient.""" + return QualityVarType.PARAMETER + def link_values(self, values: "ParameterValues"): """Link the paraemterized values to a model object. @@ -522,6 +443,16 @@ def link_values(self, values: "ParameterValues"): """ self._vals = values + def to_dict(self) -> Dict[str, Any]: + ret = dict(name=self.name, global_value=self.global_value) + if self.units: + ret["units"] = self.units + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + return ret + class Term(WaterQualityVariable): def __init__(self, name: str, expression: str, *, note=None, _vars=None) -> None: @@ -537,22 +468,25 @@ def __init__(self, name: str, expression: str, *, note=None, _vars=None) -> None Keyword Arguments ----------------- note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - - .. rubric:: Developer-use Arguments - - The following function call parameters should only be used by a MultispeciesModel class - or model-building function; the user should not need to pass these arguments. + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Other Parameters ---------------- _vars : VariablesRegistry, optional the variables registry object of the model this variable was added to, by default None """ - super().__init__(name, note=note, _vars=_vars) + super().__init__(name, note=note) + if _vars is not None and name in _vars: + raise KeyExistsError("This variable name is already taken") self.expression = expression """The expression that is aliased by this term""" + if _vars is not None and isinstance(_vars, MultispeciesReactionSystem): + self._vars = _vars + elif _vars is None: + self._vars = None + else: + raise TypeError("Invalid type for _vars") @property def var_type(self) -> QualityVarType: @@ -569,7 +503,7 @@ def to_dict(self) -> Dict[str, Any]: class ReservedName(WaterQualityVariable): - def __init__(self, name: str, *, note=None, _vars: dict = None) -> None: + def __init__(self, name: str, *, note=None) -> None: """An object representing a reserved name that should not be used by the user. Arguments @@ -580,13 +514,8 @@ def __init__(self, name: str, *, note=None, _vars: dict = None) -> None: Keyword Arguments ----------------- note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - - .. rubric:: Developer-use Arguments - - The following function call parameters should only be used by a MultispeciesModel class - or model-building function; the user should not need to pass these arguments. + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Other Parameters ---------------- @@ -598,11 +527,8 @@ def __init__(self, name: str, *, note=None, _vars: dict = None) -> None: KeyExistsError _description_ """ - if _vars is not None and name in _vars.keys(): - raise KeyExistsError("This variable name is already taken") self.name = name self.note = note - self._vars = _vars @property def var_type(self) -> QualityVarType: @@ -614,6 +540,8 @@ def to_dict(self) -> Dict[str, Any]: class HydraulicVariable(ReservedName): + """A variable representing instantaneous hydraulics data.""" + def __init__(self, name: str, units: str = None, *, note=None) -> None: """A variable representing instantaneous hydraulics data. @@ -627,11 +555,11 @@ def __init__(self, name: str, units: str = None, *, note=None) -> None: units : str, optional The units for hydraulic variable, by default None - Keyword Arguments ----------------- note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). """ super().__init__(name, note=note) self.units = units @@ -639,6 +567,8 @@ def __init__(self, name: str, units: str = None, *, note=None) -> None: class MathFunction(ReservedName): + """A variable that is actually a mathematical function defined by MSX.""" + def __init__(self, name: str, func: Callable, *, note=None) -> None: """A variable that is actually a mathematical function defined by MSX. @@ -649,11 +579,11 @@ def __init__(self, name: str, func: Callable, *, note=None) -> None: func : Callable The callable function - Keyword Arguments ----------------- note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). """ super().__init__(name, note=note) self.func = func @@ -663,51 +593,42 @@ def __call__(self, *args: Any, **kwds: Any) -> Any: return self.func(*args, **kwds) + class Reaction(WaterQualityReaction): - def __init__(self, species: Species, dynamics_type: DynamicsType, expression: str, *, note=None) -> None: - """A water quality biochemical reaction dynamics definition for a specific species. + """A water quality biochemical reaction dynamics definition for a specific species.""" - This object must be attached to a species in the appropriate pipe or tank reaction attribute. + def __init__(self, species_name: str, reaction_type: ReactionType, dynamics_type: DynamicsType, expression: str, *, note=None) -> None: + """A water quality biochemical reaction dynamics definition for a specific species. Arguments --------- - species : Species | str + species_name : Species | str The species (object or name) this reaction is applicable to. dynamics_type : DynamicsType The type of reaction dynamics being described by the expression: one of RATE, FORMULA, or EQUIL. expression : str The mathematical expression for the right-hand-side of the reaction equation. - Keyword Arguments ----------------- note : str | dict | ENcomment, optional - Supplementary information regarding this reaction, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - - Raises - ------ - TypeError - _description_ - TypeError - _description_ - TypeError - _description_ + Supplementary information regarding this reaction, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). """ - super().__init__(dynamics_type, note=note) - if species is None: - raise TypeError("species cannot be None") + super().__init__(species_name=species_name, note=note) + dynamics_type = DynamicsType.get(dynamics_type) + reaction_type = ReactionType.get(reaction_type) + if reaction_type is None: + raise TypeError("Required argument reaction_type cannot be None") + if dynamics_type is None: + raise TypeError("Required argument dynamics_type cannot be None") + self.__reaction_type = reaction_type + self._dynamics_type = dynamics_type if not expression: raise TypeError("expression cannot be None") - self._species = species self.expression = expression """The mathematical expression (right-hand-side)""" - @property - def species(self) -> str: - """The name of the species that reaction dynamics is being described.""" - return str(self._species) - @property def dynamics_type(self) -> DynamicsType: """The type of dynamics being described. @@ -715,12 +636,13 @@ def dynamics_type(self) -> DynamicsType: """ return self._dynamics_type - def __str__(self) -> str: - """Return a string representation of the reaction""" - return "{}({}) = ".format(self.dynamics_type.name, self.species) + self.expression + @property + def reaction_type(self) -> ReactionType: + """The type of reaction""" + return self.__reaction_type def to_dict(self) -> dict: - ret = dict(species=str(self.species), dynamics_type=self.dynamics_type.name.lower(), expression=self.expression) + ret = dict(species_name=str(self.species_name), dynamics_type=self.dynamics_type.name.lower(), expression=self.expression) if isinstance(self.note, ENcomment): ret["note"] = self.note.to_dict() elif isinstance(self.note, (str, dict, list)): @@ -728,7 +650,7 @@ def to_dict(self) -> dict: return ret -class VariableRegistry: +class MultispeciesReactionSystem(WaterQualityReactionSystem): """A registry for all the variables registered in the multispecies reactions model. This object can be used like an immutable mapping, with the ``__len__``, ``__getitem__``, @@ -736,17 +658,17 @@ class VariableRegistry: """ def __init__(self) -> None: - self._vars = DisjointMapping() + """Create a new reaction system. + """ + super().__init__() self._vars.add_disjoint_group("reserved") self._species = self._vars.add_disjoint_group("species") self._const = self._vars.add_disjoint_group("constant") self._param = self._vars.add_disjoint_group("parameter") self._term = self._vars.add_disjoint_group("term") - - @property - def all_variables(self) -> Dict[str, WaterQualityVariable]: - """The dictionary view onto all variables""" - return self._vars + self._rxns = dict(pipe=dict(), tank=dict()) + self._pipes = self._rxns['pipe'] + self._tanks = self._rxns['tank'] @property def species(self) -> Dict[str, Species]: @@ -768,6 +690,16 @@ def terms(self) -> Dict[str, Term]: """The dictionary view onto only named terms""" return self._term + @property + def pipe_reactions(self) -> Dict[str, WaterQualityReaction]: + """The dictionary view onto pipe reactions""" + return self._pipes + + @property + def tank_reactions(self) -> Dict[str, WaterQualityReaction]: + """The dictionary view onto tank reactions""" + return self._tanks + def add_variable(self, obj: WaterQualityVariable) -> None: """Add a variable object to the registry. @@ -789,33 +721,41 @@ def add_variable(self, obj: WaterQualityVariable) -> None: if not isinstance(obj, WaterQualityVariable): raise TypeError("Expected WaterQualityVariable object") if obj.name in self: - raise KeyExistsError("Variable name {} already exists in model") + raise KeyExistsError("Variable name {} already exists in model".format(obj.name)) obj._vars = self self._vars.add_item_to_group(obj.var_type.name.lower(), obj.name, obj) - def __contains__(self, __key: object) -> bool: - return self._vars.__contains__(__key) + def add_reaction(self, obj: WaterQualityReaction) -> None: + """Add a reaction to the model - def __eq__(self, __value: object) -> bool: - return self._vars.__eq__(__value) - - def __ne__(self, __value: object) -> bool: - return self._vars.__ne__(__value) - - # def __delitem__(self, __key: str) -> None: - # return self._vars.__delitem__(__key) - - def __getitem__(self, __key: str) -> WaterQualityVariable: - return self._vars.__getitem__(__key) - - # def __setitem__(self, __key: str, __value: MultispeciesVariable) -> None: - # return self._vars.__setitem__(__key, __value) - - def __iter__(self) -> Iterator: - return self._vars.__iter__() + Parameters + ---------- + obj : WaterQualityReaction + _description_ - def __len__(self) -> int: - return self._vars.__len__() + Raises + ------ + TypeError + _description_ + KeyError + _description_ + """ + if not isinstance(obj, WaterQualityReaction): + raise TypeError("Expected WaterQualityReaction object") + if obj.species_name not in self: + raise KeyError("Species {} does not exist in the model".format(obj.species_name)) + self._rxns[obj.reaction_type.name.lower()][obj.species_name] = obj + + def all_variables(self): + """A generator looping through all variables""" + for k, v in self._vars.items(): + yield k, v.var_type.name.lower(), v + + def all_reactions(self): + """A generator looping through all reactions""" + for k2, v in self._rxns.items(): + for k1, v1 in v.items(): + yield k1, k2, v1 def to_dict(self): return dict( @@ -823,6 +763,8 @@ def to_dict(self): constants=[v.to_dict() for v in self._const.values()], parameters=[v.to_dict() for v in self._param.values()], terms=[v.to_dict() for v in self._term.values()], + pipe_reactions=[v.to_dict() for v in self.pipe_reactions.values()], + tank_reactions=[v.to_dict() for v in self.tank_reactions.values()], ) @@ -846,6 +788,11 @@ def __init__(self, global_value: float = 0.0, node_values: dict = None, link_val self._node_values = node_values if node_values is not None else dict() self._link_values = link_values if link_values is not None else dict() + def __repr__(self) -> str: + return self.__class__.__name__ + "(global_value={}, node_values=<{} entries>, link_values=<{} entries>)".format( + self.global_value, len(self._node_values), len(self._link_values) + ) + @property def node_values(self) -> Dict[str, float]: """A mapping of node names to initial quality values for this species""" @@ -859,11 +806,6 @@ def link_values(self) -> Dict[str, float]: def to_dict(self) -> Dict[str, Dict[str, float]]: return dict(global_value=self.global_value, node_values=self._node_values.copy(), link_values=self._link_values.copy()) - def __repr__(self) -> str: - return self.__class__.__name__ + "(global_value={}, node_values=<{} entries>, link_values=<{} entries>)".format( - self.global_value, len(self._node_values), len(self._link_values) - ) - class ParameterValues: """A container for pipe and tank specific values of a parameter for a specific network.""" @@ -881,6 +823,11 @@ def __init__(self, *, pipe_values: dict = None, tank_values: dict = None) -> Non self._pipe_values = pipe_values if pipe_values is not None else dict() self._tank_values = tank_values if tank_values is not None else dict() + def __repr__(self) -> str: + return self.__class__.__name__ + "(pipe_values=<{} entries>, tank_values=<{} entries>)".format( + len(self._pipe_values), len(self._tank_values) + ) + @property def pipe_values(self) -> Dict[str, float]: """View onto the pipe values dictionary""" @@ -894,20 +841,46 @@ def tank_values(self) -> Dict[str, float]: def to_dict(self) -> Dict[str, Dict[str, float]]: return dict(pipe_values=self._pipe_values.copy(), tank_values=self._tank_values.copy()) - def __repr__(self) -> str: - return self.__class__.__name__ + "(pipe_values=<{} entries>, tank_values=<{} entries>)".format( - len(self._pipe_values), len(self._tank_values) - ) - class NetworkSpecificData: + """A container for network-specific values associated with a multispecies water quality model.""" - def __init__(self) -> None: - """A container for network-specific values associated with a multispecies water quality model.""" + def __init__(self, patterns: dict = None, sources: dict = None, initial_quality: dict = None, parameter_values: dict = None) -> None: + """A container for network-specific values associated with a multispecies water quality model. + + Data is copied from dictionaries passed in, so once created, the dictionaries passed are not connected + to this object. + + Parameters + ---------- + patterns : Dict[str, List[float]] + patterns to use for sources + sources : Dict[str, dict] + sources defined for the model + initial_quality : Dict[str, dict] + initial values for different species at different nodes, links, and the global value + parameter_values : Dict[str, dict] + parameter values for different pipes and tanks + """ + if sources is None: + sources = dict() + if initial_quality is None: + initial_quality = dict() + if patterns is None: + patterns = dict() + if parameter_values is None: + parameter_values = dict() self._source_dict = dict() - self._initial_quality_dict: Dict[str, InitialQuality] = dict() self._pattern_dict = dict() + self._initial_quality_dict: Dict[str, InitialQuality] = dict() self._parameter_value_dict: Dict[str, ParameterValues] = dict() + + self._source_dict = sources.copy() + self._pattern_dict = patterns.copy() + for k, v in initial_quality.items(): + self._initial_quality_dict[k] = InitialQuality(**v) + for k, v in parameter_values.items(): + self._parameter_value_dict[k] = ParameterValues(**v) @property def sources(self): @@ -946,7 +919,7 @@ def add_pattern(self, name: str, multipliers: List[float]): """ self._pattern_dict[name] = multipliers - def new_quality_values(self, species: Species): + def init_new_species(self, species: Species): """(Re)set the initial quality values for a species to a new container Arguments @@ -979,7 +952,7 @@ def remove_species(self, species: Union[Species, str]): except KeyError: pass - def new_parameter_values(self, param: Parameter): + def init_new_parameter(self, param: Parameter): """(Re)initialize parameter values for a parameter. Arguments @@ -1021,7 +994,7 @@ def to_dict(self): ret["sources"] = self._source_dict.copy() ret["patterns"] = self._pattern_dict.copy() return ret - + class MultispeciesQualityModel: """A multispecies water quality model for use with WNTR EPANET-MSX simulator.""" @@ -1039,21 +1012,37 @@ def __init__(self, msx_file_name=None) -> None: self.title: str = None """The title line from the MSX file, must be a single line""" self.desc: str = None - """A longer description, converted to comments in the top of an MSX file""" - self._msxfile: str = None + """A longer description, note that multi-line descriptions may not be + represented well in dictionary form.""" + self._orig_file: str = None """The original filename""" self._references: List[Union[str, Dict[str, str]]] = list() self._options = MultispeciesOptions() - self._vars = VariableRegistry() - self._net = NetworkSpecificData() + self._reaction_system = MultispeciesReactionSystem() + self._network_data = NetworkSpecificData() self._wn = None for v in HYDRAULIC_VARIABLES: - self._vars.add_variable(HydraulicVariable(**v)) + self._reaction_system.add_variable(HydraulicVariable(**v)) for k, v in EXPR_FUNCTIONS.items(): - self._vars.add_variable(MathFunction(name=k.lower(), func=v)) - self._vars.add_variable(MathFunction(name=k.capitalize(), func=v)) - self._vars.add_variable(MathFunction(name=k.upper(), func=v)) + self._reaction_system.add_variable(MathFunction(name=k.lower(), func=v)) + self._reaction_system.add_variable(MathFunction(name=k.capitalize(), func=v)) + self._reaction_system.add_variable(MathFunction(name=k.upper(), func=v)) + + if msx_file_name is not None: + from wntr.epanet.msx.io import MsxFile + MsxFile.read(msx_file_name, self) + + def __repr__(self) -> str: + ret = '{}('.format(self.__class__.__name__) + if self.name: + ret = ret + 'name={}'.format(repr(self.name)) + elif self.title: + ret = ret + 'title={}'.format(repr(self.title)) + elif self._orig_file: + ret = ret + 'msx_file_name={}'.format(repr(self._orig_file)) + ret = ret + ')' + return ret @property def references(self) -> List[Union[str, Dict[str, str]]]: @@ -1064,20 +1053,50 @@ def references(self) -> List[Union[str, Dict[str, str]]]: return self._references @property - def vars(self) -> VariableRegistry: + def reaction_system(self) -> MultispeciesReactionSystem: """The reaction variables defined for this model.""" - return self._vars + return self._reaction_system + + @property + def rxn_sys(self) -> MultispeciesReactionSystem: + """Alias for the reaction_system property for ease of programming""" + return self._reaction_system @property - def net(self) -> NetworkSpecificData: + def network_data(self) -> NetworkSpecificData: """The network-specific values added to this model.""" - return self._net + return self._network_data + + @property + def net_data(self) -> NetworkSpecificData: + """Alias for the reaction_system property for ease of programming""" + return self._network_data @property def options(self) -> MultispeciesOptions: """The MSX model options""" return self._options + @property + def species_name_list(self) -> List[str]: + """all defined species names""" + return list(self.reaction_system.species.keys()) + + @property + def constant_name_list(self) -> List[str]: + """all defined coefficient names""" + return list(self.reaction_system.constants.keys()) + + @property + def parameter_name_list(self) -> List[str]: + """all defined coefficient names""" + return list(self.reaction_system.parameters.keys()) + + @property + def term_name_list(self) -> List[str]: + """all defined function (MSX 'terms') names""" + return list(self.reaction_system.terms.keys()) + @options.setter def options(self, value): if isinstance(value, dict): @@ -1097,8 +1116,6 @@ def add_species( *, note: Any = None, diffusivity: float = None, - pipe_reaction: dict = None, - tank_reaction: dict = None, ) -> Species: """Add a species to the model @@ -1118,30 +1135,27 @@ def add_species( Keyword Arguments ----------------- note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). diffusivity : float, optional Diffusivity in water for this species. - pipe_reaction : dict, optional - A dictionary that can be passed to the species' reaction builder - tank_reaction : dict, optional - A dictionary that can be passed to the species' reaction builder - - Returns - ------- - Species - _description_ Raises ------ KeyError _description_ + + Returns + ------- + Species + _description_ """ - if name in self._vars: + if name in self._reaction_system: raise KeyError( - "Variable named {} already exists in model as type {}".format(name, self._vars._vars.get_groupname(name)) + "Variable named {} already exists in model as type {}".format(name, self._reaction_system._vars.get_groupname(name)) ) species_type = SpeciesType.get(species_type, allow_none=False) - iq = self.net.new_quality_values(name) + iq = self.network_data.init_new_species(name) new = Species( name=name, species_type=species_type, @@ -1149,13 +1163,11 @@ def add_species( atol=atol, rtol=rtol, note=note, - _vars=self._vars, + _vars=self._reaction_system, _vals=iq, diffusivity=diffusivity, - pipe_reaction=pipe_reaction, - tank_reaction=tank_reaction, ) - self.vars.add_variable(new) + self.reaction_system.add_variable(new) return new def remove_species(self, species): @@ -1167,9 +1179,9 @@ def remove_species(self, species): _description_ """ name = str(species) - self.net.remove_species(name) + self.network_data.remove_species(name) # FIXME: validate additional items - self.vars.__delitem__(name) + self.reaction_system.__delitem__(name) def add_constant(self, name: str, value: float, *, units: str = None, note: Any = None) -> Constant: """Add a constant coefficient to the model. @@ -1186,24 +1198,25 @@ def add_constant(self, name: str, value: float, *, units: str = None, note: Any units : str, optional _description_, by default None note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Returns - ------- - Constant - _description_ + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Raises ------ KeyError _description_ + + Returns + ------- + Constant + _description_ """ - if name in self._vars: + if name in self._reaction_system: raise KeyError( - "Variable named {} already exists in model as type {}".format(name, self._vars._vars.get_groupname(name)) + "Variable named {} already exists in model as type {}".format(name, self._reaction_system._vars.get_groupname(name)) ) - new = Constant(name=name, value=value, units=units, note=note, _vars=self._vars) - self.vars.add_variable(new) + new = Constant(name=name, value=value, units=units, note=note, _vars=self._reaction_system) + self.reaction_system.add_variable(new) return new def remove_constant(self, const): @@ -1216,7 +1229,7 @@ def remove_constant(self, const): """ name = str(const) # FIXME: validate deletion - self.vars.__delitem__(name) + self.reaction_system.__delitem__(name) def add_parameter(self, name: str, global_value: float, *, units: str = None, note: Any = None) -> Parameter: """Add a parameterized coefficient to the model. @@ -1233,25 +1246,26 @@ def add_parameter(self, name: str, global_value: float, *, units: str = None, no units : str, optional _description_, by default None note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Returns - ------- - Parameter - _description_ + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Raises ------ KeyError _description_ + + Returns + ------- + Parameter + _description_ """ - if name in self._vars: + if name in self._reaction_system: raise KeyError( - "Variable named {} already exists in model as type {}".format(name, self._vars._vars.get_groupname(name)) + "Variable named {} already exists in model as type {}".format(name, self._reaction_system._vars.get_groupname(name)) ) - pv = self.net.new_parameter_values(name) - new = Parameter(name=name, global_value=global_value, units=units, note=note, _vars=self._vars, _vals=pv) - self.vars.add_variable(new) + pv = self.network_data.init_new_parameter(name) + new = Parameter(name=name, global_value=global_value, units=units, note=note, _vars=self._reaction_system, _vals=pv) + self.reaction_system.add_variable(new) return new def remove_parameter(self, param): @@ -1263,9 +1277,9 @@ def remove_parameter(self, param): _description_ """ name = str(param) - self.net.remove_parameter(name) + self.network_data.remove_parameter(name) # FIXME: validate additional items - self.vars.__delitem__(name) + self.reaction_system.__delitem__(name) def add_term(self, name: str, expression: str, *, note: Any = None) -> Term: """Add a named expression (term) to the model. @@ -1280,24 +1294,25 @@ def add_term(self, name: str, expression: str, *, note: Any = None) -> Term: Keyword Arguments ----------------- note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Returns - ------- - Term - _description_ + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Raises ------ KeyError _description_ + + Returns + ------- + Term + _description_ """ - if name in self._vars: + if name in self._reaction_system: raise KeyError( - "Variable named {} already exists in model as type {}".format(name, self._vars._vars.get_groupname(name)) + "Variable named {} already exists in model as type {}".format(name, self._reaction_system._vars.get_groupname(name)) ) - new = Term(name=name, expression=expression, note=note, _vars=self._vars) - self.vars.add_variable(new) + new = Term(name=name, expression=expression, note=note, _vars=self._reaction_system) + self.reaction_system.add_variable(new) return new def remove_term(self, term): @@ -1310,23 +1325,25 @@ def remove_term(self, term): """ name = str(term) # FIXME: validate deletion - self.vars.__delitem__(name) + self.reaction_system.__delitem__(name) def add_reaction( - self, species: Species, location: LocationType, dynamics_type: DynamicsType, expression: str, *, note: Any = None + self, species_name: str, reaction_type: ReactionType, dynamics_type: DynamicsType, expression: str, *, note: Any = None ) -> WaterQualityReaction: """Add a reaction to a species in the model. - Note that all species need to have both a pipe and tank reaction defined unless all species are bulk species and - the tank reactions are identical to the pipe reactions. However, it is not recommended that users take this approach. + Note that all species need to have both a pipe and tank reaction defined + unless all species are bulk species and + the tank reactions are identical to the pipe reactions. However, it is not + recommended that users take this approach. Once added, access the reactions from the species' object. Arguments --------- - species : Species + species_name : str _description_ - location : LocationType + location_type : LocationType _description_ dynamics_type : DynamicsType _description_ @@ -1336,29 +1353,30 @@ def add_reaction( Keyword Arguments ----------------- note : str | dict | ENcomment, optional - Supplementary information regarding this reaction, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Returns - ------- - MultispeciesReaction - _description_ + Supplementary information regarding this reaction, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). Raises ------ TypeError _description_ + + Returns + ------- + MultispeciesReaction + _description_ """ - species = str(species) - species = self.vars.species[species] + species_name = str(species_name) + species = self.reaction_system.species[species_name] if species.var_type is not QualityVarType.SPECIES: - raise TypeError("Variable {} is not a Species, is a {}".format(species, species.var_type)) - if isinstance(location, str): - location.replace("_reaction", "") - location = LocationType.get(location, allow_none=False) + raise TypeError("Variable {} is not a Species, is a {}".format(species.name, species.var_type)) + reaction_type = ReactionType.get(reaction_type, allow_none=False) dynamics_type = DynamicsType.get(dynamics_type, allow_none=False) - return species.add_reaction(location=location, dynamics_type=dynamics_type, expression=expression, note=note) + new = Reaction(reaction_type=reaction_type, dynamics_type=dynamics_type, species_name=species_name, expression=expression, note=note) + self.reaction_system.add_reaction(new) + return new - def remove_reaction(self, species: str, location: LocationType) -> None: + def remove_reaction(self, species_name: str, reaction_type: ReactionType) -> None: """Remove a reaction at a specified location from a species. Parameters @@ -1368,46 +1386,67 @@ def remove_reaction(self, species: str, location: LocationType) -> None: location : LocationType the location to remove the reaction from """ - location = LocationType.get(location, allow_none=False) - species = str(species) - spec_obj = self.vars.species[species] - if location is LocationType.PIPE: - spec_obj.pipe_reaction = None - elif location is LocationType.TANK: - spec_obj.tank_reaction = None - else: - raise ValueError("Unknown location, {}".format(location)) - - @property - def species_name_list(self) -> List[str]: - """all defined species names""" - return list(self.vars.species.keys()) - - @property - def constant_name_list(self) -> List[str]: - """all defined coefficient names""" - return list(self.vars.constants.keys()) - - @property - def parameter_name_list(self) -> List[str]: - """all defined coefficient names""" - return list(self.vars.parameters.keys()) - - @property - def term_name_list(self) -> List[str]: - """all defined function (MSX 'terms') names""" - return list(self.vars.terms.keys()) + reaction_type = ReactionType.get(reaction_type, allow_none=False) + species_name = str(species_name) + del self.reaction_system.all_reactions[reaction_type.name.lower()][species_name] def to_dict(self): from wntr import __version__ - return dict( - version="wntr-{}".format(__version__), - name=self.name, - title=self.title, - desc=self.desc, - references=self.references.copy(), - variables=self.vars.to_dict(), - net_specific=self.net.to_dict(), - options=self.options.to_dict(), - ) + return { + 'wntr-version': "{}".format(__version__), + 'name': self.name, + 'title': self.title, + 'desc': self.desc if self.desc is None or '\n' not in self.desc else self.desc.splitlines(), + 'references': self.references.copy(), + 'reaction_system': self.reaction_system.to_dict(), + 'network_data': self.network_data.to_dict(), + 'options': self.options.to_dict(), + } + + @classmethod + def from_dict(cls, data): + from wntr import __version__ + + ver = data.get('wntr-version', None) + if ver > __version__: + logger.warn('Importing from a file created by a newer version of wntr, compatibility not guaranteed') + warnings.warn('Importing from a file created by a newer version of wntr, compatibility not guaranteed') + new = cls() + new.name = data.get('name', None) + new.title = data.get('title', None) + new.desc = data.get('desc', None) + if isinstance(new.desc, (list, tuple)): + desc = '\n'.join(new.desc) + new.desc = desc + new.references.extend(data.get('references', list())) + + rxn_sys = data.get('reaction_system', dict()) + for var in rxn_sys.get('species', list()): + new.add_species(**var) + for var in rxn_sys.get('constants', list()): + new.add_constant(**var) + for var in rxn_sys.get('parameters', list()): + new.add_parameter(**var) + for var in rxn_sys.get('terms', list()): + new.add_term(**var) + for rxn in rxn_sys.get('pipe_reactions', list()): + rxn['reaction_type'] = 'pipe' + new.add_reaction(**rxn) + for rxn in rxn_sys.get('tank_reactions', list()): + rxn['reaction_type'] = 'tank' + new.add_reaction(**rxn) + + new._network_data = NetworkSpecificData(**data.get('network_data', dict())) + for species in new.rxn_sys.species: + if species not in new.net_data.initial_quality: + new.net_data.init_new_species(species) + for param in new.rxn_sys.parameters: + if param not in new.net_data.parameter_values: + new.net_data.init_new_parameter(param) + + opts = data.get('options', None) + if opts: + new.options = opts + + return new diff --git a/wntr/quality/options.py b/wntr/quality/options.py index 1814c9fba..b91c2c9f9 100644 --- a/wntr/quality/options.py +++ b/wntr/quality/options.py @@ -12,31 +12,6 @@ class ReportOptions(_OptionsBase): """ Options related to EPANET-MSX report outputs. - - Parameters - ---------- - report_filename : str - Provides the filename to use for outputting an EPANET report file, - by default this will be the prefix plus ".rpt". - - species : dict[str, bool] - Output species concentrations - - species_precision : dict[str, float] - Output species concentrations with the specified precision - - nodes : None, "ALL", or list - Output node information in report file. If a list of node names is provided, - EPANET only provides report information for those nodes. - - links : None, "ALL", or list - Output link information in report file. If a list of link names is provided, - EPANET only provides report information for those links. - - pagesize : str - Page size for EPANET report output - - """ def __init__( @@ -48,6 +23,33 @@ def __init__( nodes: Union[Literal["ALL"], List[str]] = None, links: Union[Literal["ALL"], List[str]] = None, ): + """ + Options related to EPANET-MSX report outputs. + + Parameters + ---------- + report_filename : str + Provides the filename to use for outputting an EPANET report file, + by default this will be the prefix plus ".rpt". + + species : dict[str, bool] + Output species concentrations + + species_precision : dict[str, float] + Output species concentrations with the specified precision + + nodes : None, "ALL", or list + Output node information in report file. If a list of node names is provided, + EPANET only provides report information for those nodes. + + links : None, "ALL", or list + Output link information in report file. If a list of link names is provided, + EPANET only provides report information for those links. + + pagesize : str + Page size for EPANET report output + + """ self.pagesize = pagesize """The pagesize for the report""" self.report_filename = report_filename @@ -71,35 +73,6 @@ def __setattr__(self, name, value): class MultispeciesOptions(_OptionsBase): """ Multispecies quality model options. - - Parameters - ---------- - timestep : int >= 1 - Water quality timestep (seconds), by default 60 (one minute). - area_units : str, optional - The units of area to use in surface concentration forms, by default ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. - rate_units : str, optional - The time units to use in all rate reactions, by default ``MIN``. Valid values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. - solver : str, optional - The solver to use, by default ``RK5``. Options are ``RK5`` (5th order Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or ``EUL`` (Euler method). - coupling : str, optional - Use coupling method for solution, by default ``NONE``. Valid options are ``FULL`` or ``NONE``. - atol : float, optional - Absolute concentration tolerance, by default 0.01 (regardless of species concentration units). - rtol : float, optional - Relative concentration tolerance, by default 0.001 (±0.1%). - compiler : str, optional - Whether to use a compiler, by default ``NONE``. Valid options are ``VC``, ``GC``, or ``NONE`` - segments : int, optional - Maximum number of segments per pipe (MSX 2.0 or newer only), by default 5000. - peclet : int, optional - Peclet threshold for applying dispersion (MSX 2.0 or newer only), by default 1000. - - Other Parameters - ---------------- - report : ReportOptions or dict - Options on how to report out results. - """ def __init__( @@ -117,6 +90,35 @@ def __init__( # global_initial_quality: Dict[str, float] = None, report: ReportOptions = None, ): + """ + Multispecies quality model options. + + Parameters + ---------- + timestep : int >= 1 + Water quality timestep (seconds), by default 60 (one minute). + area_units : str, optional + The units of area to use in surface concentration forms, by default ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. + rate_units : str, optional + The time units to use in all rate reactions, by default ``MIN``. Valid values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. + solver : str, optional + The solver to use, by default ``RK5``. Options are ``RK5`` (5th order Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or ``EUL`` (Euler method). + coupling : str, optional + Use coupling method for solution, by default ``NONE``. Valid options are ``FULL`` or ``NONE``. + atol : float, optional + Absolute concentration tolerance, by default 0.01 (regardless of species concentration units). + rtol : float, optional + Relative concentration tolerance, by default 0.001 (±0.1%). + compiler : str, optional + Whether to use a compiler, by default ``NONE``. Valid options are ``VC``, ``GC``, or ``NONE`` + segments : int, optional + Maximum number of segments per pipe (MSX 2.0 or newer only), by default 5000. + peclet : int, optional + Peclet threshold for applying dispersion (MSX 2.0 or newer only), by default 1000. + report : ReportOptions or dict + Options on how to report out results. + + """ self.timestep: int = timestep """The timestep, in seconds, by default 360""" self.area_units: str = area_units diff --git a/wntr/sim/epanet.py b/wntr/sim/epanet.py index 934324578..c74905b45 100644 --- a/wntr/sim/epanet.py +++ b/wntr/sim/epanet.py @@ -102,9 +102,11 @@ def run_sim(self, file_prefix='temp', save_hyd=False, use_hyd=False, hydfile=Non inpfile = file_prefix + '.inp' write_inpfile(self._wn, inpfile, units=self._wn.options.hydraulic.inpfile_units, version=version) enData = wntr.epanet.toolkit.ENepanet(version=version) + self.enData = enData rptfile = file_prefix + '.rpt' outfile = file_prefix + '.bin' - + if self._wn._msx is not None: + save_hyd = True if hydfile is None: hydfile = file_prefix + '.hyd' enData.ENopen(inpfile, rptfile, outfile) @@ -127,5 +129,25 @@ def run_sim(self, file_prefix='temp', save_hyd=False, use_hyd=False, hydfile=Non results = self.reader.read(outfile, convergence_error, self._wn.options.hydraulic.headloss=='D-W') + if self._wn._msx is not None: + msxfile = file_prefix + '.msx' + rptfile = file_prefix + '.msx-rpt' + binfile = file_prefix + '.msx-bin' + msxfile2 = file_prefix + '.check.msx' + wntr.epanet.msx.io.MsxFile.write(msxfile, self._wn._msx) + msx = wntr.epanet.msx.MSXepanet(inpfile, rptfile, outfile, msxfile) + msx.ENopen(inpfile, rptfile, outfile) + msx.MSXopen(msxfile) + msx.MSXusehydfile(hydfile) + msx.MSXinit() + msx.MSXsolveH() + msx.MSXsolveQ() + msx.MSXreport() + msx.MSXsaveoutfile(binfile) + msx.MSXsavemsxfile(msxfile2) + msx.MSXclose() + msx.ENclose() + results = wntr.epanet.msx.io.MsxBinFile(binfile, self._wn, results) + return results diff --git a/wntr/tests/test_quality_variables.py b/wntr/tests/test_quality_variables.py index e14357fbb..7deb011cc 100644 --- a/wntr/tests/test_quality_variables.py +++ b/wntr/tests/test_quality_variables.py @@ -24,14 +24,14 @@ def tearDownClass(self): pass def test_ReactionVariable_reserved_name_exception(self): - self.assertRaises(ValueError, wntr.quality.BulkSpecies, "D", "mg") - self.assertRaises(ValueError, wntr.quality.WallSpecies, "Q", "mg") + self.assertRaises(ValueError, wntr.quality.Species, 'bulk', "D", "mg") + self.assertRaises(ValueError, wntr.quality.Species, 'wall', "Q", "mg") self.assertRaises(ValueError, wntr.quality.Constant, "Re", 0.52) self.assertRaises(ValueError, wntr.quality.Parameter, "Re", 0.52) self.assertRaises(ValueError, wntr.quality.OtherTerm, "Re", 0.52) def test_RxnVariable_symbols_and_sympy(self): - species1 = wntr.quality.BulkSpecies("Cl", "mg") + species1 = wntr.quality.Species('BULK', "Cl", "mg") symbol1 = sympy.symbols("Cl") self.assertEqual(species1.symbol, symbol1) @@ -60,8 +60,8 @@ def test_RxnVariable_values(self): self.assertRaises(TypeError, param2.get_value, pipe="PIPE", tank="TANK") def test_RxnVariable_string_functions(self): - species1 = wntr.quality.BulkSpecies("Cl", "mg") - species2 = wntr.quality.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + species1 = wntr.quality.Species('BULK', "Cl", "mg") + species2 = wntr.quality.Species('WALL', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") const1 = wntr.quality.Constant("Kb", 0.482) param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") @@ -73,8 +73,8 @@ def test_RxnVariable_string_functions(self): def test_Species_tolerances(self): # """RxnSpecies(*s) tolerance settings""" - species1 = wntr.quality.BulkSpecies("Cl", "mg") - species2 = wntr.quality.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") + species1 = wntr.quality.Species("B", "Cl", "mg") + species2 = wntr.quality.Species("W", "Cl", "mg", 0.01, 0.0001, note="Testing stuff") self.assertIsNone(species1.get_tolerances()) self.assertIsNotNone(species2.get_tolerances()) self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) @@ -94,19 +94,19 @@ def test_Species_tolerances(self): def test_BulkSpecies_creation(self): # """BlukSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.quality.BulkSpecies, "Re") - self.assertRaises(ValueError, wntr.quality.BulkSpecies, "Re", "mg") - self.assertRaises(TypeError, wntr.quality.BulkSpecies, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.quality.BulkSpecies, "Cl", "mg", None, 0.01) - species = wntr.quality.BulkSpecies("Cl", "mg") + self.assertRaises(TypeError, wntr.quality.Species, "b", "Re") + self.assertRaises(ValueError, wntr.quality.Species, "B", "Re", "mg") + self.assertRaises(TypeError, wntr.quality.Species, 1, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.quality.Species, wntr.quality.base.SpeciesType.BULK, "Cl", "mg", None, 0.01) + species = wntr.quality.Species(1, "Cl", "mg") self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.quality.VariableType.BULK) + self.assertEqual(species.var_type, wntr.quality.SpeciesType.BULK) self.assertIsNone(species._atol) self.assertIsNone(species._rtol) self.assertIsNone(species.note) - species = wntr.quality.BulkSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.quality.VariableType.BULK) + species = wntr.quality.Species('b', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.quality.SpeciesType.BULK) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species._atol, 0.01) @@ -115,19 +115,19 @@ def test_BulkSpecies_creation(self): def test_WallSpecies_creation(self): # """WallSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.quality.WallSpecies, "Re") - self.assertRaises(ValueError, wntr.quality.WallSpecies, "Re", "mg") - self.assertRaises(TypeError, wntr.quality.WallSpecies, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.quality.WallSpecies, "Cl", "mg", None, 0.01) - species = wntr.quality.WallSpecies("Cl", "mg") + self.assertRaises(TypeError, wntr.quality.Species, 'W', "Re") + self.assertRaises(ValueError, wntr.quality.Species, 'Wall', "Re", "mg") + self.assertRaises(TypeError, wntr.quality.Species, 2, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.quality.Species, 'W', "Cl", "mg", None, 0.01) + species = wntr.quality.Species('w', "Cl", "mg") self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.quality.VariableType.WALL) + self.assertEqual(species.var_type, wntr.quality.SpeciesType.WALL) self.assertIsNone(species._atol) self.assertIsNone(species._rtol) self.assertIsNone(species.note) - species = wntr.quality.WallSpecies("Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.quality.VariableType.WALL) + species = wntr.quality.Species('w', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.quality.SpeciesType.WALL) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species._atol, 0.01) @@ -143,7 +143,7 @@ def test_Constant_creation(self): self.assertEqual(const1.name, "Kb") self.assertEqual(const1.global_value, 0.482) self.assertEqual(const1.get_value(), const1.global_value) - self.assertEqual(const1.var_type, wntr.quality.VariableType.CONST) + self.assertEqual(const1.var_type, wntr.quality.QualityVarType.CONST) self.assertEqual(const1.note, "test") def test_Parameter_creation(self): @@ -153,7 +153,7 @@ def test_Parameter_creation(self): self.assertEqual(param1.name, "Kb") self.assertEqual(param1.global_value, 0.482) self.assertEqual(param1.get_value(), param1.global_value) - self.assertEqual(param1.var_type, wntr.quality.VariableType.PARAM) + self.assertEqual(param1.var_type, wntr.quality.QualityVarType.PARAM) self.assertEqual(param1.note, "test") test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} @@ -167,48 +167,48 @@ def test_RxnTerm_creation(self): term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(term1.name, "T0") self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") - self.assertEqual(term1.var_type, wntr.quality.VariableType.TERM) + self.assertEqual(term1.var_type, wntr.quality.QualityVarType.TERM) self.assertEqual(term1.note, "bar") def test_RxnExpression_strings(self): - equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.quality.RateDynamics("Cl", wntr.quality.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.quality.FormulaDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.quality.TankReaction("Cl", wntr.quality.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.quality.PipeReaction("Cl", wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") def test_Equilibrium_creation(self): - equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.species, "Cl") self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.expr_type, wntr.quality.DynamicsType.EQUIL) + self.assertEqual(equil1.dynamics, wntr.quality.DynamicsType.EQUIL) def test_Rate_creation(self): - rate1 = wntr.quality.RateDynamics("Cl", wntr.quality.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - self.assertEqual(rate1.species, "Cl") + rate1 = wntr.quality.TankReaction("Cl", wntr.quality.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + self.assertEqual(rate1.species_name, "Cl") self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(rate1.expr_type, wntr.quality.DynamicsType.RATE) + self.assertEqual(rate1.dynamics, wntr.quality.DynamicsType.RATE) self.assertEqual(rate1.note, "Foo Bar") def test_Formula_creation(self): - formula1 = wntr.quality.FormulaDynamics("Cl", wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") + formula1 = wntr.quality.FormulaDynamics("Cl", wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(formula1.species, "Cl") self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.expr_type, wntr.quality.DynamicsType.FORMULA) + self.assertEqual(formula1.dynamics, wntr.quality.DynamicsType.FORMULA) def test_WaterQualityReactionsModel_creation_specific_everything(self): rxn_model1 = wntr.quality.MultispeciesQualityModel() - bulk1 = wntr.quality.BulkSpecies("Cl", "mg") - wall1 = wntr.quality.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + bulk1 = wntr.quality.Species('b',"Cl", "mg") + wall1 = wntr.quality.Species('w', "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const1 = wntr.quality.Constant("Kb", 0.482) param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - equil1 = wntr.quality.EquilibriumDynamics(bulk1, wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.quality.RateDynamics(bulk1, wntr.quality.LocationType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.quality.FormulaDynamics(wall1, wntr.quality.LocationType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.quality.EquilibriumDynamics(bulk1, wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.quality.TankReaction(bulk1, wntr.quality.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.quality.FormulaDynamics(wall1, wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") bulk2 = rxn_model1.add_bulk_species("Cl", "mg") wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const2 = rxn_model1.add_constant_coeff("Kb", 0.482) - param2 = rxn_model1.add_parameterized_coeff("Ka", 0.482, note="foo") + const2 = rxn_model1.add_constant("Kb", 0.482) + param2 = rxn_model1.add_parameter("Ka", 0.482, note="foo") term2 = rxn_model1.add_other_term("T0", "-3.2 * Kb * Cl^2", note="bar") equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") rate2 = rxn_model1.add_tank_reaction("Cl", wntr.quality.DynamicsType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") @@ -223,22 +223,22 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): # self.assertEqual(formula1, formula2) def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): - bulk1 = wntr.quality.BulkSpecies("Cl", "mg") - wall1 = wntr.quality.WallSpecies("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + bulk1 = wntr.quality.Species('b', "Cl", "mg") + wall1 = wntr.quality.Species(2, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const1 = wntr.quality.Constant("Kb", 0.482) param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") rxn_model2 = wntr.quality.MultispeciesQualityModel() - self.assertRaises(ValueError, rxn_model2.add_species, wntr.quality.VariableType.CONST, "Cl", "mg") + self.assertRaises(ValueError, rxn_model2.add_species, wntr.quality.QualityVarType.CONST, "Cl", "mg") self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) bulk3 = rxn_model2.add_species("BULK", "Cl", "mg") - wall3 = rxn_model2.add_species(wntr.quality.VariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + wall3 = rxn_model2.add_species(wntr.quality.QualityVarType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) - param3 = rxn_model2.add_coefficient(wntr.quality.VariableType.P, "Ka", 0.482, note="foo") + param3 = rxn_model2.add_coefficient(wntr.quality.QualityVarType.P, "Ka", 0.482, note="foo") self.assertEqual(bulk3, bulk1) self.assertEqual(wall3, wall1) diff --git a/wntr/utils/citations.py b/wntr/utils/citations.py deleted file mode 100644 index db0cba886..000000000 --- a/wntr/utils/citations.py +++ /dev/null @@ -1,337 +0,0 @@ -# coding: utf-8 -"""Contains a dataclass that can be used to store citations. -""" -from __future__ import annotations -import dataclasses - -import datetime -from dataclasses import asdict, dataclass, field, is_dataclass -from typing import Any, Dict, Union, List, Tuple - -Literal = str -"""A literal string""" -Name = str -"""A name string, preferrably in order without commas""" -NameList = Union[Name, List[Name]] -"""A list of names, or a string with "and" between names""" -LiteralList = Union[Literal, List[Literal]] -"""A list of literals, or a string with "and" between literals""" -Key = str -"""A string that comes from a limited set of values""" -KeyList = Union[Key, List[Key]] -"""A list of keys, or a string with "and" between keys""" -Verbatim = str -"""A string that should not be interpreted (ie raw)""" -Special = Any -"""Anything that isn't a string or list of strings""" -URI = str -"""A valid URI""" -Date = Union[str, datetime.date] -"""A date or string in yyyy-mm-dd format (must be 0-padded, eg 2021-02-02 for February 2, 2021""" -Range = Union[str, Tuple[Any, Any]] -"""A 2-tuple of (start,stop) or a string with two values separated by '--' """ -SeparatedValues = Union[str, List[str]] -"""A list of strings, or a string that is delimited (the delimiter is not specified)""" - - -@dataclass(repr=False) -class Citation: - """A class to hold a citation to document the source of a model. - - Parameters - ---------- - entry_type : str - Describe the type of citation, for example, 'journal' or 'book'. - key : str - A key to use to identify this citation. Usually a BibTeX key or an - alphanumeric key per citation standards. - fields : CitationFields - An object that has attributes that align with different citation - fields, such as 'title' or 'author'. - """ - - entry_type: str - key: str - fields: "CitationFields" = None - - def __post_init__(self): - if self.fields is None: - self.fields = CitationFields(None) - elif isinstance(self.fields, dict): - self.fields = CitationFields(**self.fields) - elif isinstance(self.fields, list): - self.fields = CitationFields(*self.fields) - - def to_dict(self): - """Convert to a dictionary. - - Returns - ------- - dict - the citation dictionary - """ - try: - ret = dict() - ret["entry_type"] = self.entry_type - ret["key"] = self.key - ret["fields"] = self.fields.to_dict() - return ret - except: - return asdict(self) - - -@dataclass(repr=False) -class CitationFields: - """A dataclass for citation fields; field names and types are taken from BibLaTeX. - This class makes no attempt to format or represent the citation in any form - other than as a dictionary. This class also does not perform any type-checking - on fields, although it does create ``TypeAlias`` es for each field for the - user's information. Please see the BibLaTeX or BibTeX documentation for a list of - valid field names. - """ - - title: Literal = None - """Title of the work, required for most bibliographies.""" - author: NameList = None - """The author of a work. Typically, either `author` or `editor` is required.""" - editor: NameList = None - """The editor of a work. Typically, either `author` or `editor` is required.""" - date: Date = None - """The date the work was published. Typically, either `year` or `date` is required""" - year: Literal = None - """The year the work was published. Typically, either `year` or `date` is required.""" - journal: Literal = None - """The journal an articles was published in. Both `journal` and `journaltitle` are accepted as field names.""" - journaltitle: Literal = None - """The journal an articles was published in. Both `journal` and `journaltitle` are accepted as field names.""" - doi: Verbatim = None - """The DOI identifier. Most works, and nearly all journal articles, have a DOI.""" - type: Key = None - """The (sub)type of an :attr:`Citation.entry_type`. For example, "masters" for a masters thesis.""" - - volume: int = None - """The volume for a journal or multi-volume set. Use `volumes` to list the total number of volumes in a set.""" - number: Literal = None - """The journal number within a volume, or a report number.""" - pages: Range = None - """The pages for the work.""" - eid: Literal = None - """The electronic identifier number, has replaced pages in some digital journals.""" - issue: Literal = None - """The issue if the issue is not a number, for example, 'Spring'""" - series: Literal = None - """The series name, such as 'Chemical Reviews'""" - part: Literal = None - """The part, usually for reports or multi-volume sets.""" - - eprint: Verbatim = None - """Used for alternatives to DOI, such as PubMed PMIDs. The `eprintclass` and `eprinttype` fields identify the type of ID.""" - eprintclass: Literal = None - eprinttype: Literal = None - url: URI = None - """A URL for access to a dataset or work. Use `urldate` to indicate when the URL was accessed.""" - urldate: Date = None - """The date a `url` was accessed.""" - - issuetitle: Literal = None - booktitle: Literal = None - eventtitle: Literal = None - maintitle: Literal = None - """The `maintitle`, `booktitle`, `eventtitle`, and `issuetitle` are used for containing works, such as for works within proceedings.""" - - eventdate: Date = None - - institution: LiteralList = None - organization: LiteralList = None - publisher: LiteralList = None - school: LiteralList = None - - location: LiteralList = None - address: LiteralList = None - venue: Literal = None - - abstract: Literal = None - addendum: Literal = None - afterword: NameList = None - annotation: Literal = None - annotator: NameList = None - authortype: Key = None - bookauthor: NameList = None - bookpagination: Key = None - chapter: Literal = None - commentator: NameList = None - edition: Union[int, Literal] = None - editora: NameList = None - editorb: NameList = None - editorc: NameList = None - editortype: Key = None - editoratype: Key = None - editorbtype: Key = None - editorctype: Key = None - entrysubtype: Literal = None - file: Verbatim = None - foreword: NameList = None - holder: NameList = None - howpublished: Literal = None - introduction: NameList = None - isan: Literal = None - isbn: Literal = None - ismn: Literal = None - isrn: Literal = None - issn: Literal = None - iswc: Literal = None - # Titles - eventtitleaddon: Literal = None - subtitle: Literal = None - titleaddon: Literal = None - journalsubtitle: Literal = None - journaltitleaddon: Literal = None - issuesubtitle: Literal = None - issuetitleaddon: Literal = None - booksubtitle: Literal = None - booktitleaddon: Literal = None - mainsubtitle: Literal = None - maintitleaddon: Literal = None - origtitle: Literal = None - reprinttitle: Literal = None - shorttitle: Literal = None - shortjournal: Literal = None - indextitle: Literal = None - indexsorttitle: Literal = None - sorttitle: Literal = None - # Continued - label: Literal = None - language: KeyList = None - library: Literal = None - month: Literal = None - nameaddon: Literal = None - note: Literal = None - origdate: Date = None - origlanguage: KeyList = None - origlocation: LiteralList = None - origpublisher: LiteralList = None - pagetotal: Literal = None - pagination: Key = None - pubstate: Key = None - shortauthor: NameList = None - shorteditor: NameList = None - shorthand: Literal = None - shorthandintro: Literal = None - shortseries: Literal = None - translator: NameList = None - version: Literal = None - volumes: int = None - # SPECIAL FIELDS - crossref: Key = None - entryset: SeparatedValues = None - execute: Special = None - gender: Key = None - langid: Key = None - langidopts: Special = None - ids: SeparatedValues = None - keywords: SeparatedValues = None - options: Special = None - presort: Special = None - related: SeparatedValues = None - relatedoptions: SeparatedValues = None - relatedtype: Special = None - relatedstring: Literal = None - sortkey: Literal = None - sortname: NameList = None - sortshorthand: Literal = None - sortyear: int = None - xdata: SeparatedValues = None - xref: Key = None - # FIELD ALIASES - annote: Literal = None - archiveprefix: Literal = None - pdf: Verbatim = None - primaryclass: Literal = None - - def to_dict(self) -> Dict[str, Any]: - """Return a dictionary representation of the citation. - All blank (None) values will be removed from the dictionary - so that it is minimal. - - Returns - ------- - Dict[str, Any] - minimal dictionary representation of the Citation - """ - d = asdict(self) - for k in list(d.keys()): - if d[k] is None: - del d[k] - return d - - def __repr__(self) -> str: - d = asdict(self) - for k in list(d.keys()): - if d[k] is None: - del d[k] - rep = str(self.__class__.__name__) + "(" - rep = rep + ", ".join(["{}={}".format(k, repr(v)) for k, v in d.items()]) - rep = rep + ")" - return rep - - -def to_jsontypes(citations): - """Convert a Citation, list of citations, or dictionary of citations to a JSON mapping. - - Parameters - ---------- - citations : Citation, List[Citation], Any - the citation(s) to convert - - Returns - ------- - JSON valid object - dictionary, list, or scalar - """ - if isinstance(citations, str): - return citations - elif not isinstance(citations, list) and hasattr(citations, 'to_dict'): - return citations.to_dict() - elif is_dataclass(citations.__class__): - return asdict(citations) - elif isinstance(citations, (list, tuple)): - ret = list() - for obj in citations: - ret.append(to_jsontypes(obj)) - return ret - elif isinstance(citations, dict): - ret = dict() - for key, obj in citations.items(): - ret[key] = to_jsontypes(obj) - return ret - else: - return str(citations) - -def from_jsontypes(citations): - """Convert a JSON mapping or list of mappings to a Citation structure. - - Parameters - ---------- - citations : dict, list[dict] - a dictionary or list of dictionaries to convert to Citation objects or leave as strings. - - Returns - ------- - Any - the converted objects - """ - if isinstance(citations, list): - ret = list() - for obj in citations: - ret.append(from_jsontypes(obj)) - return ret - elif isinstance(citations, dict): - try: - ret = Citation(**citations) - except: - ret = dict() - for key, obj in citations.items(): - ret[key] = from_jsontypes(citations) - return ret - elif isinstance(citations, str): - return ret diff --git a/wntr/utils/enumtools.py b/wntr/utils/enumtools.py index 8f02fe281..a05e3c6fc 100644 --- a/wntr/utils/enumtools.py +++ b/wntr/utils/enumtools.py @@ -6,7 +6,7 @@ from typing import Union import functools -def add_get(cls=None, *, prefix=None, abbrev=False): +def add_get(cls=None, *, prefix=None, abbrev=False, allow_none=True): """Decorator that will add a ``get()`` classmethod to an enum class. Parameters @@ -15,35 +15,69 @@ def add_get(cls=None, *, prefix=None, abbrev=False): A prefix to strip off any string values passed in, by default None abbrev : bool, optional Allow truncating to the first character for checks, by default False - + allow_none : bool, optional + Allow None to be be passed through without raising error, by default True Returns ------- class the modified class + + Notes + ----- + The ``get`` method behaves as follows: + + For an integer, the integer value will be used to select the proper member. + For an :class:`Enum` object, the object's ``name`` will be used, and it will + be processed as a string. For a string, the method will: + + 0. if ``allow_none`` is False, then raise a TypeError if the value is None, otherwise + pass None back to calling function for processing + 1. capitalize the string + 2. remove leading or trailing spaces + 3. convert interior spaces or dashes to underscores + 4. optionally, remove a specified prefix from a string (using ``prefix``, which + should have a default assigned by the :func:`wntr.utils.enumtools.add_get` + function.) + + It will then try to get the member with the name corresponding to the converted + string. + + 5. optionally, if ``abbrev`` is True, then the string will be truncated to the first + letter, only, after trying to use the full string as passed in. The ``abbrev`` + parameter will have a default value based on how the :func:`~wntr.utils.enumtools.add_get` + decorator was called on this class. + """ if prefix is None: prefix = '' if abbrev is None: abbrev = False + if allow_none is None: + allow_none = True if cls is None: - return functools.partial(add_get, prefix=prefix, abbrev=abbrev) + return functools.partial(add_get, prefix=prefix, abbrev=abbrev, allow_none=allow_none) @functools.wraps(cls) def wrap(cls, prefix, abbrev): """Perform the decorator action""" - def get(cls, value: Union[str, int, Enum], prefix='', abbrev=False): + def get(cls, value: Union[str, int, Enum], prefix='', abbrev=False, allow_none=True): """Get the proper enum based on the name or value of the argument. + See :func:`~wntr.utils.enumtools.add_get` for details on how this function works. + + Parameters ---------- value : Union[str, int, Enum] the value to be checked, if it is an Enum, then the name will be used prefix : str, optional - a prefix to strip from the beginning of ``value``, default set by the decorator + a prefix to strip from the beginning of ``value``, default blank or set by decorator abbrev : bool, optional - whether to try a single-letter version of ``value``, default set by the decorator + whether to try a single-letter version of ``value``, default False or set by decorator + allow_none : bool, optional + passing None will return None, otherwise will raise TypeError, default True or set by decorator Returns ------- @@ -57,31 +91,11 @@ def get(cls, value: Union[str, int, Enum], prefix='', abbrev=False): ValueError if ``value`` is invalid - Notes - ----- - The get method behaves as follows. - For an integer, the integer value will be used to select the proper member. - For an :class:`Enum` object, the object's ``name`` will be used, and it will - be processed as a string. For a string, the method will: - - 1. capitalize the string - 2. remove leading or trailing spaces - 3. convert interior spaces or dashes to underscores - 4. optionally, remove a specified prefix from a string (using ``prefix``, which - should have a default assigned by the :func:`wntr.utils.enumtools.add_get` - function.) - - It will then try to get the member with the name corresponding to the converted - string. - - 5. optionally, if ``abbrev`` is True, then the string will be truncated to the first - letter, only, after trying to use the full string as passed in. The ``abbrev`` - parameter will have a default value based on how the :func:`~wntr.utils.enumtools.add_get` - decorator was called on this class. - """ - if value is None: + if value is None and allow_none: return None + elif value is None: + raise TypeError('A value is mandatory, but got None') name = str(value) if isinstance(value, cls): return value From 25a48e04c3260bca84b66f5100c5c05255b66316 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 27 Oct 2023 17:04:18 -0600 Subject: [PATCH 034/118] Renaming to conform to other wntr styles --- documentation/advancedqual.rst | 30 +- documentation/apidoc/wntr.msx.base.rst | 7 + ...quality.base.rst => wntr.msx.elements.rst} | 4 +- documentation/apidoc/wntr.msx.library.rst | 7 + documentation/apidoc/wntr.msx.model.rst | 7 + documentation/apidoc/wntr.msx.options.rst | 7 + documentation/apidoc/wntr.msx.rst | 20 + documentation/apidoc/wntr.quality.library.rst | 7 - .../apidoc/wntr.quality.multispecies.rst | 7 - documentation/apidoc/wntr.quality.options.rst | 7 - documentation/apidoc/wntr.quality.rst | 19 - documentation/apidoc/wntr.rst | 2 +- wntr/__init__.py | 2 +- wntr/epanet/msx/__init__.py | 20 +- wntr/epanet/msx/io.py | 45 +- wntr/epanet/msx/toolkit.py | 75 +- wntr/{quality => msx}/__init__.py | 2 +- .../_library_data/arsenic_chloramine.json | 20 +- .../_library_data/batch_chloramine_decay.json | 30 +- .../_library_data/lead_ppm.json | 6 +- .../_library_data/nicotine.json | 6 +- .../_library_data/nicotine_ri.json | 14 +- wntr/{quality => msx}/base.py | 160 +- wntr/msx/elements.py | 693 ++++++++ wntr/{quality => msx}/library.py | 30 +- wntr/msx/model.py | 770 +++++++++ wntr/{quality => msx}/options.py | 0 wntr/network/model.py | 6 +- wntr/quality/MSXPY_toolkit.py | 876 ---------- wntr/quality/multispecies.py | 1452 ----------------- wntr/sim/epanet.py | 1 + wntr/tests/test_epanet_msx_io.py | 6 +- wntr/tests/test_epanet_msx_tooklit.py | 4 +- wntr/tests/test_quality_variables.py | 152 +- 34 files changed, 1881 insertions(+), 2613 deletions(-) create mode 100644 documentation/apidoc/wntr.msx.base.rst rename documentation/apidoc/{wntr.quality.base.rst => wntr.msx.elements.rst} (57%) create mode 100644 documentation/apidoc/wntr.msx.library.rst create mode 100644 documentation/apidoc/wntr.msx.model.rst create mode 100644 documentation/apidoc/wntr.msx.options.rst create mode 100644 documentation/apidoc/wntr.msx.rst delete mode 100644 documentation/apidoc/wntr.quality.library.rst delete mode 100644 documentation/apidoc/wntr.quality.multispecies.rst delete mode 100644 documentation/apidoc/wntr.quality.options.rst delete mode 100644 documentation/apidoc/wntr.quality.rst rename wntr/{quality => msx}/__init__.py (90%) rename wntr/{quality => msx}/_library_data/arsenic_chloramine.json (90%) rename wntr/{quality => msx}/_library_data/batch_chloramine_decay.json (94%) rename wntr/{quality => msx}/_library_data/lead_ppm.json (94%) rename wntr/{quality => msx}/_library_data/nicotine.json (96%) rename wntr/{quality => msx}/_library_data/nicotine_ri.json (93%) rename wntr/{quality => msx}/base.py (81%) create mode 100644 wntr/msx/elements.py rename wntr/{quality => msx}/library.py (94%) create mode 100644 wntr/msx/model.py rename wntr/{quality => msx}/options.py (100%) delete mode 100644 wntr/quality/MSXPY_toolkit.py delete mode 100644 wntr/quality/multispecies.py diff --git a/documentation/advancedqual.rst b/documentation/advancedqual.rst index 54d58149b..b144cbb38 100644 --- a/documentation/advancedqual.rst +++ b/documentation/advancedqual.rst @@ -28,8 +28,8 @@ for the paper this model was described in. .. doctest:: - >>> import wntr.quality - >>> msx = wntr.quality.MultispeciesQualityModel() + >>> import wntr.msx + >>> msx = wntr.msx.MultispeciesQualityModel() >>> msx.name = "lead_ppm" >>> msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" >>> msx.desc = "Parameters for EPA HPS Simulator Model" @@ -79,7 +79,7 @@ Name Type Units No :math:`Pb` bulk species :math:`\mathrm{μg}_\mathrm{(Pb)}` dissolved lead ======================== =============== ================================= ======================== -To add this species to the model, we can use the model's :meth:`~wntr.quality.multispecies.MultispeciesQualityModel.add_species` +To add this species to the model, we can use the model's :meth:`~wntr.msx.multispecies.MultispeciesQualityModel.add_species` method. The method arguments are the name, the species_type (which can either be "bulk" or "wall"), the units, and an optional note. @@ -91,7 +91,7 @@ This method will add the new species to the model and also return a copy of the Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') The new species can be accessed by using the item's name and indexing on the model's -:attr:`~wntr.quality.multispecies.MultispeciesQualityModel.reaction_system` attribute. +:attr:`~wntr.msx.multispecies.MultispeciesQualityModel.reaction_system` attribute. >>> PB2 = msx.reaction_system['PB2'] >>> PB2 @@ -135,7 +135,7 @@ pipes, so we need to set the tank reaction to be unchanging. The system of equat Note that the pipe reaction has a variable that we have not defined, :math:`Av`, in its expression; this variable is a pre-defined hydraulic variable. The list of these variables can be found in -the EPANET-MSX documentation, and also in the :attr:`~wntr.quality.base.HYDRAULIC_VARIABLES` +the EPANET-MSX documentation, and also in the :attr:`~wntr.msx.base.HYDRAULIC_VARIABLES` documentation. The reactions can be described in WNTR as ================ ============== ========================================================================== @@ -145,7 +145,7 @@ pipe rate :math:`F \cdot Av \cdot M \cdot \left( E - Pb tank rate :math:`0` ================ ============== ========================================================================== -and then added to the reaction model using the :meth:`~wntr.quality.multispecies.MultispeciesQualityModel.add_reaction` +and then added to the reaction model using the :meth:`~wntr.msx.multispecies.MultispeciesQualityModel.add_reaction` method. .. doctest:: @@ -348,10 +348,10 @@ Creation in WNTR .. doctest:: - >>> msx = wntr.quality.MultispeciesQualityModel() + >>> msx = wntr.msx.MultispeciesQualityModel() >>> msx.name = "arsenic_chloramine" >>> msx.title = "Arsenic Oxidation/Adsorption Example" - >>> msx.references.append(wntr.quality.library.cite_msx()) + >>> msx.references.append(wntr.msx.library.cite_msx()) >>> AS3 = msx.add_species(name="AS3", species_type="BULK", units="UG", note="Dissolved arsenite") >>> AS5 = msx.add_species(name="AS5", species_type="BULK", units="UG", note="Dissolved arsenate") >>> AStot = msx.add_species(name="AStot", species_type="BULK", units="UG", note="Total dissolved arsenic") @@ -364,29 +364,29 @@ Creation in WNTR >>> Smax = msx.add_constant("Smax", 50.0, units="UG / M^2", note="Arsenate adsorption limit") >>> Ks = msx.add_term(name="Ks", expression="K1/K2", note="Equil. adsorption coeff.") >>> _ = msx.add_reaction( - ... species_name="AS3", reaction_type="pipes", dynamics_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" + ... species_name="AS3", reaction_type="pipes", expression_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" ... ) >>> _ = msx.add_reaction( ... "AS5", "pipes", "rate", "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", note="Arsenate production less adsorption" ... ) >>> _ = msx.add_reaction( - ... species_name="NH2CL", reaction_type="pipes", dynamics_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" + ... species_name="NH2CL", reaction_type="pipes", expression_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" ... ) >>> _ = msx.add_reaction("AS5s", "pipe", "equil", "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", note="Arsenate adsorption") >>> _ = msx.add_reaction( - ... species_name="AStot", reaction_type="pipes", dynamics_type="formula", expression="AS3 + AS5", note="Total arsenic" + ... species_name="AStot", reaction_type="pipes", expression_type="formula", expression="AS3 + AS5", note="Total arsenic" ... ) >>> _ = msx.add_reaction( - ... species_name="AS3", reaction_type="tank", dynamics_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" + ... species_name="AS3", reaction_type="tank", expression_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" ... ) >>> _ = msx.add_reaction( - ... species_name="AS5", reaction_type="tank", dynamics_type="rate", expression="Ka*AS3*NH2CL", note="Arsenate production" + ... species_name="AS5", reaction_type="tank", expression_type="rate", expression="Ka*AS3*NH2CL", note="Arsenate production" ... ) >>> _ = msx.add_reaction( - ... species_name="NH2CL", reaction_type="tank", dynamics_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" + ... species_name="NH2CL", reaction_type="tank", expression_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" ... ) >>> _ = msx.add_reaction( - ... species_name="AStot", reaction_type="tanks", dynamics_type="formula", expression="AS3 + AS5", note="Total arsenic" + ... species_name="AStot", reaction_type="tanks", expression_type="formula", expression="AS3 + AS5", note="Total arsenic" ... ) >>> msx.options.area_units = "M2" >>> msx.options.rate_units = "HR" diff --git a/documentation/apidoc/wntr.msx.base.rst b/documentation/apidoc/wntr.msx.base.rst new file mode 100644 index 000000000..9df2031eb --- /dev/null +++ b/documentation/apidoc/wntr.msx.base.rst @@ -0,0 +1,7 @@ +wntr.msx.base module +==================== + +.. automodule:: wntr.msx.base + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.base.rst b/documentation/apidoc/wntr.msx.elements.rst similarity index 57% rename from documentation/apidoc/wntr.quality.base.rst rename to documentation/apidoc/wntr.msx.elements.rst index d3cc5ff4b..9bc59e92d 100644 --- a/documentation/apidoc/wntr.quality.base.rst +++ b/documentation/apidoc/wntr.msx.elements.rst @@ -1,7 +1,7 @@ -wntr.quality.base module +wntr.msx.elements module ======================== -.. automodule:: wntr.quality.base +.. automodule:: wntr.msx.elements :members: :undoc-members: :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.library.rst b/documentation/apidoc/wntr.msx.library.rst new file mode 100644 index 000000000..dc10f1f4e --- /dev/null +++ b/documentation/apidoc/wntr.msx.library.rst @@ -0,0 +1,7 @@ +wntr.msx.library module +======================= + +.. automodule:: wntr.msx.library + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.model.rst b/documentation/apidoc/wntr.msx.model.rst new file mode 100644 index 000000000..ec8a7934e --- /dev/null +++ b/documentation/apidoc/wntr.msx.model.rst @@ -0,0 +1,7 @@ +wntr.msx.model module +===================== + +.. automodule:: wntr.msx.model + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.options.rst b/documentation/apidoc/wntr.msx.options.rst new file mode 100644 index 000000000..1e1b0c622 --- /dev/null +++ b/documentation/apidoc/wntr.msx.options.rst @@ -0,0 +1,7 @@ +wntr.msx.options module +======================= + +.. automodule:: wntr.msx.options + :members: + :undoc-members: + :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.rst b/documentation/apidoc/wntr.msx.rst new file mode 100644 index 000000000..00b1530eb --- /dev/null +++ b/documentation/apidoc/wntr.msx.rst @@ -0,0 +1,20 @@ +wntr.msx package +================ + +.. automodule:: wntr.msx + :members: + :undoc-members: + :show-inheritance: + + +Submodules +---------- + +.. toctree:: + :maxdepth: 1 + + wntr.msx.base + wntr.msx.elements + wntr.msx.library + wntr.msx.model + wntr.msx.options diff --git a/documentation/apidoc/wntr.quality.library.rst b/documentation/apidoc/wntr.quality.library.rst deleted file mode 100644 index b7ea696fa..000000000 --- a/documentation/apidoc/wntr.quality.library.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.quality.library module -=========================== - -.. automodule:: wntr.quality.library - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.multispecies.rst b/documentation/apidoc/wntr.quality.multispecies.rst deleted file mode 100644 index 192296011..000000000 --- a/documentation/apidoc/wntr.quality.multispecies.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.quality.multispecies module -================================ - -.. automodule:: wntr.quality.multispecies - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.options.rst b/documentation/apidoc/wntr.quality.options.rst deleted file mode 100644 index e492fec10..000000000 --- a/documentation/apidoc/wntr.quality.options.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.quality.options module -=========================== - -.. automodule:: wntr.quality.options - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.quality.rst b/documentation/apidoc/wntr.quality.rst deleted file mode 100644 index 01d0bdb23..000000000 --- a/documentation/apidoc/wntr.quality.rst +++ /dev/null @@ -1,19 +0,0 @@ -wntr.quality package -==================== - -.. automodule:: wntr.quality - :members: - :undoc-members: - :show-inheritance: - - -Submodules ----------- - -.. toctree:: - :maxdepth: 1 - - wntr.quality.base - wntr.quality.library - wntr.quality.multispecies - wntr.quality.options diff --git a/documentation/apidoc/wntr.rst b/documentation/apidoc/wntr.rst index 4b5369d1b..7dd9f2ca5 100644 --- a/documentation/apidoc/wntr.rst +++ b/documentation/apidoc/wntr.rst @@ -20,7 +20,7 @@ Subpackages wntr.metrics wntr.morph wntr.network - wntr.quality + wntr.msx wntr.scenario wntr.sim wntr.utils diff --git a/wntr/__init__.py b/wntr/__init__.py index 50727d3f1..30cae0645 100644 --- a/wntr/__init__.py +++ b/wntr/__init__.py @@ -7,7 +7,7 @@ from wntr import graphics from wntr import gis from wntr import utils -from wntr import quality +from wntr import msx __version__ = '1.1.0' diff --git a/wntr/epanet/msx/__init__.py b/wntr/epanet/msx/__init__.py index 4144ddbcc..b7ae5c121 100644 --- a/wntr/epanet/msx/__init__.py +++ b/wntr/epanet/msx/__init__.py @@ -1,4 +1,22 @@ """The wntr.epanet.msx package provides EPANET-MSX compatibility functions for WNTR. + +The following environment variable must be set, or the command `set_msx_path` must +be run prior to trying to instantiate the EPANET-MSX toolkit. + +.. envvar:: WNTR_PATH_TO_EPANETMSX + + The full path to the directory where EPANET-MSX has been installed. Specifically, + the directory should contain both toolkit files, epanet2.dll and epanetmsx.dll + (or the appropriate equivalent files for your system architecture). + """ +import os as _os + +def set_msx_path(path): + if not _os.path.isdir(path): + raise FileNotFoundError('Directory not found, {}'.format(path)) + _os.environ['WNTR_PATH_TO_EPANETMSX'] = path + from .io import MsxFile, MsxBinFile -from .toolkit import MSXepanet \ No newline at end of file +from .toolkit import MSXepanet + diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index 1bf2d78a9..e1a87ae31 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -8,13 +8,14 @@ import numpy as np import pandas as pd +from wntr.msx.elements import Constant, Parameter, Species, Term import wntr.network from wntr.epanet.msx.exceptions import EpanetMsxException, MSXValueError from wntr.epanet.util import ENcomment from wntr.network.elements import Source -from wntr.quality.base import ReactionType, QualityVarType, SpeciesType -from wntr.quality.multispecies import Constant, MultispeciesQualityModel, Parameter, Species, Term +from wntr.msx.base import ReactionType, VariableType, SpeciesType +from wntr.msx.model import MsxModel sys_default_enc = sys.getdefaultencoding() @@ -68,7 +69,7 @@ class MsxFile(object): """ def __init__(self): - self.rxn: MultispeciesQualityModel = None + self.rxn: MsxModel = None self.sections = dict() for sec in _INP_SECTIONS: self.sections[sec] = [] @@ -76,7 +77,7 @@ def __init__(self): self.patterns = dict() @classmethod - def read(cls, msx_filename: str, rxn_model: MultispeciesQualityModel = None): + def read(cls, msx_filename: str, rxn_model: MsxModel = None): """ Read an EPANET-MSX input file (.msx) and load data into a water quality reactions model. Only MSX 2.0 files are recognized. @@ -94,7 +95,7 @@ def read(cls, msx_filename: str, rxn_model: MultispeciesQualityModel = None): the model with the new species, reactions and other options added """ if rxn_model is None: - rxn_model = MultispeciesQualityModel() + rxn_model = MsxModel() obj = cls() obj.rxn = rxn_model # if not isinstance(msx_file, list): @@ -173,7 +174,7 @@ def _read(): raise EpanetMsxException(200) from e @classmethod - def write(cls, filename: str, msx: MultispeciesQualityModel): + def write(cls, filename: str, msx: MsxModel): """Write an MSX input file. Parameters @@ -195,13 +196,12 @@ def write(cls, filename: str, msx: MultispeciesQualityModel): obj._write_terms(fout) obj._write_pipes(fout) obj._write_tanks(fout) - obj._write_source_dict(fout) - obj._write_quality(fout) obj._write_diffusivity(fout) obj._write_parameters(fout) obj._write_patterns(fout) obj._write_report(fout) - fout.write("; END of MSX file generated by WNTR\n") + obj._write_quality(fout) + obj._write_source_dict(fout) def _read_title(self): lines = [] @@ -218,7 +218,7 @@ def _read_title(self): if len(lines) > 0: comments = comments + ("\n" if comments else "") + "\n".join(lines) self.rxn.title = title - self.rxn.desc = comments + self.rxn.description = comments def _read_options(self): for lnum, line in self.sections["[OPTIONS]"]: @@ -299,10 +299,10 @@ def _read_coefficients(self): note.post = comment if len(vals) < 3: raise EpanetMsxException(402, note="at line {} of [COEFFICIENTS] section:\n{}".format(lnum, line)) - typ = QualityVarType.get(vals[0], allow_none=False) - if typ is QualityVarType.CONSTANT: + typ = VariableType.get(vals[0], allow_none=False) + if typ is VariableType.CONSTANT: self.rxn.add_constant(vals[1], float(vals[2]), note=note) - elif typ is QualityVarType.PARAMETER: + elif typ is VariableType.PARAMETER: self.rxn.add_parameter(vals[1], float(vals[2]), note=note) else: raise MSXValueError(403, vals[0], note="at line {} of [COEFFICIENTS] section:\n{}".format(lnum, line)) @@ -673,21 +673,21 @@ def _write_pipes(self, fout): fout.write( "{}\n".format( var.note.wrap_msx_string( - "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression) + "{:<12s} {:<8s} {:<32s}".format(var.expression_type.name.upper(), str(var.species_name), var.expression) ) ) ) elif isinstance(var.note, str): fout.write( " {} ; {}\n".format( - "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression), + "{:<12s} {:<8s} {:<32s}".format(var.expression_type.name.upper(), str(var.species_name), var.expression), var.note, ) ) else: fout.write( " {}\n".format( - "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression) + "{:<12s} {:<8s} {:<32s}".format(var.expression_type.name.upper(), str(var.species_name), var.expression) ) ) fout.write("\n") @@ -701,27 +701,28 @@ def _write_tanks(self, fout): var = spec.tank_reaction except KeyError: logger.warn('Species {} does not have a tank reaction - this may be a problem'.format(str(spec))) + continue if var is None: raise MSXValueError(508, note=" species {}".format(str(spec))) if isinstance(var.note, ENcomment): fout.write( "{}\n".format( var.note.wrap_msx_string( - "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression) + "{:<12s} {:<8s} {:<32s}".format(var.expression_type.name.upper(), str(var.species_name), var.expression) ) ) ) elif isinstance(var.note, str): fout.write( " {} ; {}\n".format( - "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression), + "{:<12s} {:<8s} {:<32s}".format(var.expression_type.name.upper(), str(var.species_name), var.expression), var.note, ) ) else: fout.write( " {}\n".format( - "{:<12s} {:<8s} {:<32s}".format(var.dynamics_type.name.upper(), str(var.species_name), var.expression) + "{:<12s} {:<8s} {:<32s}".format(var.expression_type.name.upper(), str(var.species_name), var.expression) ) ) fout.write("\n") @@ -860,14 +861,14 @@ def MsxBinFile(filename, wn: wntr.network.WaterNetworkModel, res = None): species_list = [] node_list = wn.node_name_list link_list = wn.link_name_list - print(magic1, version, nnodes, nlinks, nspecies, reportstep) + # print(magic1, version, nnodes, nlinks, nspecies, reportstep) species_mass = [] for i in range(nspecies): species_len = np.fromfile(fin, dtype=np.int32, count=1)[0] - print(species_len) + # print(species_len) species_name = "".join(chr(f) for f in np.fromfile(fin, dtype=np.uint8, count=species_len) if f != 0) - print(species_name) + # print(species_name) species_list.append(species_name) species_mass.append("".join(chr(f) for f in np.fromfile(fin, dtype=np.uint8, count=16) if f != 0)) diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py index 69140c4f2..84fdcd9f2 100644 --- a/wntr/epanet/msx/toolkit.py +++ b/wntr/epanet/msx/toolkit.py @@ -4,9 +4,8 @@ .. note:: - Code in this section taken from code originally written by Junli Hao 07/29/2018, - "EPANET-MSX-Python-wrapper" on GitHub, licensed under the BSD license. See LICENSE.txt for more - details. + Code in this section based on code from "EPANET-MSX-Python-wrapper", + licensed under the BSD license. See LICENSE.txt for details. """ import ctypes from enum import IntEnum @@ -45,6 +44,11 @@ class MSXepanet(ENepanet): def __init__(self, inpfile="", rptfile="", binfile="", msxfile=""): + if 'WNTR_PATH_TO_EPANETMSX' in os.environ: + msx_toolkit = os.environ['WNTR_PATH_TO_EPANETMSX'] + else: + msx_toolkit = None + self.ENlib = None self.errcode = 0 self.errcodelist = [] @@ -62,25 +66,44 @@ def __init__(self, inpfile="", rptfile="", binfile="", msxfile=""): libnames = ["epanetmsx", "epanetmsx_win32"] if "64" in platform.machine(): libnames.insert(0, "epanetmsx_amd64") - for lib in libnames: - try: - if os.name in ["nt", "dos"]: - libepanet = resource_filename(epanet_toolkit, "Windows/%s.dll" % lib) - self.ENlib = ctypes.windll.LoadLibrary(libepanet) - elif sys.platform in ["darwin"]: - libepanet = resource_filename(epanet_toolkit, "Darwin/lib%s.dylib" % lib) - self.ENlib = ctypes.cdll.LoadLibrary(libepanet) - else: - libepanet = resource_filename(epanet_toolkit, "Linux/lib%s.so" % lib) - self.ENlib = ctypes.cdll.LoadLibrary(libepanet) - return - except Exception as E1: - if lib == libnames[-1]: - raise E1 - pass - finally: - self._project = None - + if msx_toolkit: + for lib in libnames: + try: + if os.name in ["nt", "dos"]: + libepanet = os.path.join(msx_toolkit, "%s.dll" % lib) + self.ENlib = ctypes.windll.LoadLibrary(libepanet) + elif sys.platform in ["darwin"]: + libepanet = os.path.join(msx_toolkit, "lib%s.dylib" % lib) + self.ENlib = ctypes.cdll.LoadLibrary(libepanet) + else: + libepanet = os.path.join(msx_toolkit, "lib%s.so" % lib) + self.ENlib = ctypes.cdll.LoadLibrary(libepanet) + return + except Exception as E1: + if lib == libnames[-1]: + raise E1 + pass + finally: + self._project = None + else: + for lib in libnames: + try: + if os.name in ["nt", "dos"]: + libepanet = resource_filename(epanet_toolkit, "Windows/%s.dll" % lib) + self.ENlib = ctypes.windll.LoadLibrary(libepanet) + elif sys.platform in ["darwin"]: + libepanet = resource_filename(epanet_toolkit, "Darwin/lib%s.dylib" % lib) + self.ENlib = ctypes.cdll.LoadLibrary(libepanet) + else: + libepanet = resource_filename(epanet_toolkit, "Linux/lib%s.so" % lib) + self.ENlib = ctypes.cdll.LoadLibrary(libepanet) + return + except Exception as E1: + if lib == libnames[-1]: + raise E1 + pass + finally: + self._project = None return def _error(self, *args): @@ -98,7 +121,7 @@ def _error(self, *args): return # ----------running the simulation----------------------------------------------------- - def MSXopen(self, msxfile=None): + def MSXopen(self, msxfile): """Opens the MSX Toolkit to analyze a particular distribution system. Parameters @@ -106,9 +129,9 @@ def MSXopen(self, msxfile=None): msxfile : str name of the MSX input file """ - if msxfile is None: - msxfile = self.msxfile - ierr = self.ENlib.MSXopen(ctypes.c_char_p(msxfile.encode())) + if msxfile is not None: + msxfile = ctypes.c_char_p(msxfile.encode()) + ierr = self.ENlib.MSXopen(msxfile) if ierr != 0: raise EpanetMsxException(ierr, msxfile) diff --git a/wntr/quality/__init__.py b/wntr/msx/__init__.py similarity index 90% rename from wntr/quality/__init__.py rename to wntr/msx/__init__.py index e625cb7ae..3cc6669e1 100644 --- a/wntr/quality/__init__.py +++ b/wntr/msx/__init__.py @@ -7,6 +7,6 @@ from ..epanet.msx.exceptions import EpanetMsxException from .base import * -from .multispecies import * +from .model import * from .options import MultispeciesOptions from . import library diff --git a/wntr/quality/_library_data/arsenic_chloramine.json b/wntr/msx/_library_data/arsenic_chloramine.json similarity index 90% rename from wntr/quality/_library_data/arsenic_chloramine.json rename to wntr/msx/_library_data/arsenic_chloramine.json index 3e6c5d3d9..c67e1dc13 100644 --- a/wntr/quality/_library_data/arsenic_chloramine.json +++ b/wntr/msx/_library_data/arsenic_chloramine.json @@ -2,7 +2,7 @@ "wntr-version": "1.0.0", "name": "arsenic_chloramine", "title": "Arsenic Oxidation/Adsorption Example", - "desc": "This example models monochloramine oxidation of arsenite/arsenate and wall adsoption/desorption, as given in section 3 of the EPANET-MSX user manual", + "description": "This example models monochloramine oxidation of arsenite/arsenate and wall adsoption/desorption, as given in section 3 of the EPANET-MSX user manual", "references": [ "Shang, F. and Rossman, L.A. and Uber, J.G. (2023) \"EPANET-MSX 2.0 User Manual\". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199." ], @@ -92,31 +92,31 @@ "pipe_reactions": [ { "species_name": "AS3", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-Ka*AS3*NH2CL", "note": "Arsenite oxidation" }, { "species_name": "AS5", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", "note": "Arsenate production less adsorption" }, { "species_name": "NH2CL", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-Kb*NH2CL", "note": "Monochloramine decay" }, { "species_name": "AS5s", - "dynamics_type": "equil", + "expression_type": "equil", "expression": "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", "note": "Arsenate adsorption" }, { "species_name": "AStot", - "dynamics_type": "formula", + "expression_type": "formula", "expression": "AS3 + AS5", "note": "Total arsenic" } @@ -124,25 +124,25 @@ "tank_reactions": [ { "species_name": "AS3", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-Ka*AS3*NH2CL", "note": "Arsenite oxidation" }, { "species_name": "AS5", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "Ka*AS3*NH2CL", "note": "Arsenate production" }, { "species_name": "NH2CL", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-Kb*NH2CL", "note": "Monochloramine decay" }, { "species_name": "AStot", - "dynamics_type": "formula", + "expression_type": "formula", "expression": "AS3 + AS5", "note": "Total arsenic" } diff --git a/wntr/quality/_library_data/batch_chloramine_decay.json b/wntr/msx/_library_data/batch_chloramine_decay.json similarity index 94% rename from wntr/quality/_library_data/batch_chloramine_decay.json rename to wntr/msx/_library_data/batch_chloramine_decay.json index 2d0e5f9f2..fc4c416db 100644 --- a/wntr/quality/_library_data/batch_chloramine_decay.json +++ b/wntr/msx/_library_data/batch_chloramine_decay.json @@ -2,7 +2,7 @@ "wntr-version": "1.0.0", "name": "batch_chloramine_decay", "title": "Batch chloramine decay example", - "desc": null, + "description": null, "references": [], "reaction_system": { "species": [ @@ -207,72 +207,72 @@ "pipe_reactions": [ { "species_name": "HOCL", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-a1 + a2 - a3 + a4 + a8" }, { "species_name": "NH3", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-a1 + a2 + a5 - a6" }, { "species_name": "NH2CL", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "a1 - a2 - a3 + a4 - a5 + a6 - a9 - a10" }, { "species_name": "NHCL2", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "a3 - a4 + a5 - a6 - a7 - a8 - a10" }, { "species_name": "I", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "a7 - a8 - a9" }, { "species_name": "H", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "0" }, { "species_name": "ALK", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "0" }, { "species_name": "OCL", - "dynamics_type": "equil", + "expression_type": "equil", "expression": "H * OCL - 3.16E-8 * HOCL" }, { "species_name": "NH4", - "dynamics_type": "equil", + "expression_type": "equil", "expression": "H * NH3 - 5.01e-10 * NH4" }, { "species_name": "CO3", - "dynamics_type": "equil", + "expression_type": "equil", "expression": "H * CO3 - 5.01e-11 * HCO3" }, { "species_name": "H2CO3", - "dynamics_type": "equil", + "expression_type": "equil", "expression": "H * HCO3 - 5.01e-7 * H2CO3" }, { "species_name": "HCO3", - "dynamics_type": "equil", + "expression_type": "equil", "expression": "ALK - HC03 - 2*CO3 - OH + H" }, { "species_name": "OH", - "dynamics_type": "equil", + "expression_type": "equil", "expression": "H * OH - 1.0e-14" }, { "species_name": "chloramine", - "dynamics_type": "formula", + "expression_type": "formula", "expression": "1000 * NH2CL" } ], diff --git a/wntr/quality/_library_data/lead_ppm.json b/wntr/msx/_library_data/lead_ppm.json similarity index 94% rename from wntr/quality/_library_data/lead_ppm.json rename to wntr/msx/_library_data/lead_ppm.json index 129140c45..63a69e852 100644 --- a/wntr/quality/_library_data/lead_ppm.json +++ b/wntr/msx/_library_data/lead_ppm.json @@ -2,7 +2,7 @@ "wntr-version": "1.0.0", "name": "lead_ppm", "title": "Lead Plumbosolvency Model (from Burkhardt et al 2020)", - "desc": "Parameters for EPA HPS Simulator Model", + "description": "Parameters for EPA HPS Simulator Model", "references": [ "J. B. Burkhardt, et al. (2020) \"Framework for Modeling Lead in Premise Plumbing Systems Using EPANET\". J Water Resour Plan Manag. 146(12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304 PMID:33627937" ], @@ -42,14 +42,14 @@ "pipe_reactions": [ { "species_name": "PB2", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "F * Av * M * (E - PB2) / E" } ], "tank_reactions": [ { "species_name": "PB2", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "0" } ] diff --git a/wntr/quality/_library_data/nicotine.json b/wntr/msx/_library_data/nicotine.json similarity index 96% rename from wntr/quality/_library_data/nicotine.json rename to wntr/msx/_library_data/nicotine.json index 5ab62fc9d..7603d684d 100644 --- a/wntr/quality/_library_data/nicotine.json +++ b/wntr/msx/_library_data/nicotine.json @@ -2,7 +2,7 @@ "wntr-version": "1.0.0", "name": "nicotine", "title": "Nicotine - Chlorine reaction", - "desc": null, + "description": null, "references": [], "reaction_system": { "species": [ @@ -57,12 +57,12 @@ "pipe_reactions": [ { "species_name": "Nx", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-RxN" }, { "species_name": "HOCL", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-RxCl" } ], diff --git a/wntr/quality/_library_data/nicotine_ri.json b/wntr/msx/_library_data/nicotine_ri.json similarity index 93% rename from wntr/quality/_library_data/nicotine_ri.json rename to wntr/msx/_library_data/nicotine_ri.json index 3e9a2d981..f73267661 100644 --- a/wntr/quality/_library_data/nicotine_ri.json +++ b/wntr/msx/_library_data/nicotine_ri.json @@ -2,7 +2,7 @@ "wntr-version": "1.0.0", "name": "nicotine_ri", "title": "Nicotine - Chlorine reaction with reactive intermediate", - "desc": null, + "description": null, "references": [], "reaction_system": { "species": [ @@ -81,34 +81,34 @@ "pipe_reactions": [ { "species_name": "Nx", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-RXN" }, { "species_name": "HOCL", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-RXCL" }, { "species_name": "NX2", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "RXNX2" } ], "tank_reactions": [ { "species_name": "Nx", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-RXN" }, { "species_name": "HOCL", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "-RXCL" }, { "species_name": "NX2", - "dynamics_type": "rate", + "expression_type": "rate", "expression": "RXNX2" } ] diff --git a/wntr/quality/base.py b/wntr/msx/base.py similarity index 81% rename from wntr/quality/base.py rename to wntr/msx/base.py index 8e05f1a49..80b3b8d72 100644 --- a/wntr/quality/base.py +++ b/wntr/msx/base.py @@ -5,10 +5,11 @@ and/or mixin classes, and should not be instantiated directly. """ -from abc import ABC, abstractmethod, abstractproperty +from abc import ABC, abstractclassmethod, abstractmethod, abstractproperty import logging from enum import Enum, IntEnum -from typing import Any, Dict, Iterator +import os +from typing import Any, Dict, Iterator, List, Union from wntr.utils.disjoint_mapping import DisjointMapping from wntr.utils.enumtools import add_get @@ -109,6 +110,22 @@ def _coth(x): logger = logging.getLogger(__name__) +__all__ = [ + "HYDRAULIC_VARIABLES", + "EXPR_FUNCTIONS", + "RESERVED_NAMES", + "EXPR_TRANSFORMS", + "VariableType", + "SpeciesType", + "ReactionType", + "ExpressionType", + "AbstractVariable", + "AbstractReaction", + "ReactionSystem", + "VariableValues", + "AbstractModel", +] + HYDRAULIC_VARIABLES = [ {"name": "D", "note": "pipe diameter (feet or meters) "}, { @@ -282,7 +299,7 @@ def __init__(self, value, note=None): @add_get(abbrev=True) -class QualityVarType(IntEnum): +class VariableType(IntEnum): """The type of reaction variable. The following types are defined, and aliases of just the first character @@ -379,7 +396,7 @@ class ReactionType(Enum): @add_get(abbrev=True) -class DynamicsType(Enum): +class ExpressionType(Enum): """The type of reaction expression. The following types are defined, and aliases of just the first character @@ -412,21 +429,7 @@ class DynamicsType(Enum): F = FORMULA -__all__ = [ - "HYDRAULIC_VARIABLES", - "EXPR_FUNCTIONS", - "RESERVED_NAMES", - "EXPR_TRANSFORMS", - "QualityVarType", - "SpeciesType", - "ReactionType", - "DynamicsType", - "WaterQualityVariable", - "WaterQualityReaction", -] - - -class WaterQualityReaction(ABC): +class AbstractReaction(ABC): def __init__(self, species_name: str, *, note=None) -> None: """A water quality reaction definition. @@ -447,7 +450,7 @@ def __init__(self, species_name: str, *, note=None) -> None: Raises ------ TypeError - if dynamics_type is invalid + if expression_type is invalid """ if species_name is None: raise TypeError("The species_name cannot be None") @@ -462,7 +465,7 @@ def species_name(self) -> str: def reaction_type(self) -> Enum: """The type of reaction or where this reaction occurs.""" raise NotImplementedError - + def __str__(self) -> str: return "{}->{}".format(self.species_name, self.reaction_type.name) @@ -478,16 +481,16 @@ def to_dict(self) -> dict: raise NotImplementedError -class WaterQualityVariable(ABC): +class AbstractVariable(ABC): """A multi-species water quality model variable. This abstract class must be extended before use. There are several concrete classes that inhert from this class, including - :class:`~wntr.quality.msx.Species`, - :class:`~wntr.quality.msx.Constant`, - :class:`~wntr.quality.msx.Parameter`, - and :class:`~wntr.quality.msx.Term`. - See also the :class:`~wntr.quality.msx.MultispeciesModel`, which has the functions + :class:`~wntr.msx.msx.Species`, + :class:`~wntr.msx.msx.Constant`, + :class:`~wntr.msx.msx.Parameter`, + and :class:`~wntr.msx.msx.Term`. + See also the :class:`~wntr.msx.msx.MultispeciesModel`, which has the functions required to create these variables and define reactions. """ @@ -530,8 +533,8 @@ def __init__(self, name: str, *, note=None) -> None: """A note related to this variable""" @abstractproperty - def var_type(self) -> QualityVarType: - """The type of reaction model variable""" + def var_type(self) -> Enum: + """The type of reaction variable""" raise NotImplementedError @abstractmethod @@ -550,7 +553,7 @@ def __repr__(self) -> str: ) -class WaterQualityReactionSystem(ABC): +class ReactionSystem(ABC): """Abstract class for reaction systems, which contains variables and reaction expressions. This class contains the functions necessary to perform as a mapping view onto the @@ -562,22 +565,22 @@ def __init__(self) -> None: self._rxns = dict() @abstractmethod - def add_variable(self, obj: WaterQualityVariable) -> None: + def add_variable(self, obj: AbstractVariable) -> None: """Add a variable to the system""" raise NotImplementedError - + @abstractmethod - def add_reaction(self, obj: WaterQualityReaction) -> None: + def add_reaction(self, obj: AbstractReaction) -> None: """Add a reaction to the system""" raise NotImplementedError - + @abstractmethod - def all_variables(self): + def variables(self): """A generator looping through all variables""" raise NotImplementedError - + @abstractmethod - def all_reactions(self): + def reactions(self): """A generator looping through all reactions""" raise NotImplementedError @@ -595,7 +598,7 @@ def __eq__(self, __value: object) -> bool: def __ne__(self, __value: object) -> bool: return self._vars.__ne__(__value) - def __getitem__(self, __key: str) -> WaterQualityVariable: + def __getitem__(self, __key: str) -> AbstractVariable: return self._vars.__getitem__(__key) def __iter__(self) -> Iterator: @@ -603,4 +606,83 @@ def __iter__(self) -> Iterator: def __len__(self) -> int: return self._vars.__len__() - \ No newline at end of file + + +class VariableValues(ABC): + """Abstract class for a variable's network-specific values.""" + + @abstractproperty + def var_type(self) -> Enum: + """Define what type of variable this network-specific data is for""" + raise NotImplementedError + + @abstractmethod + def to_dict(self) -> dict: + """Represent the variable's network-specific values as a dictionary""" + raise NotImplementedError + + +class NetworkData(ABC): + """Abstract class containing network specific data. + + This class should be populated with things like initial quality, + sources, parameterized values, etc. + """ + + @abstractmethod + def to_dict(self) -> dict: + """Represent the network specific data as a dictionary""" + raise NotImplementedError + + +class AbstractModel(ABC): + """Abstract water quality model.""" + + def __init__(self, filename=None): + self.name: str = None if filename is None else os.path.splitext(os.path.split(filename)[1])[0] + """A name for the model, or the MSX model filename (no spaces allowed)""" + self.title: str = None + """The title line from the MSX file, must be a single line""" + self.description: str = None + """A longer description, note that multi-line descriptions may not be + represented well in dictionary form.""" + self._orig_file: str = filename + self._options = None + self._rxn_system: ReactionSystem = None + self._net_data: NetworkData = None + self._wn = None + + @abstractproperty + def options(self): + """The model options structure. + + Concrete classes should implement this with the appropriate typeing and + also implement a setter method. + """ + raise NotImplementedError + + @abstractproperty + def reaction_system(self) -> ReactionSystem: + """The reaction variables defined for this model. + + Concrete classes should implement this with the appropriate typing. + """ + raise NotImplementedError + + @abstractproperty + def network_data(self) -> NetworkData: + """The network-specific values added to this model. + + Concrete classes should implement this with the appropriate typing. + """ + raise NotImplementedError + + @abstractmethod + def to_dict(self) -> dict: + """Represent the model as a dictionary.""" + raise NotImplementedError + + @abstractclassmethod + def from_dict(self, data: dict) -> "AbstractModel": + """Create a new model from a dictionary.""" + raise NotImplementedError diff --git a/wntr/msx/elements.py b/wntr/msx/elements.py new file mode 100644 index 000000000..b3be0a463 --- /dev/null +++ b/wntr/msx/elements.py @@ -0,0 +1,693 @@ +# -*- coding: utf-8 -*- + +"""Water quality model implementations. +""" + + +import logging + +from typing import ( + Any, + Callable, + Dict, + Literal, + Tuple, + Union, +) + +from wntr.epanet.util import ENcomment +from wntr.utils.disjoint_mapping import KeyExistsError + +from .base import ( + VariableValues, + AbstractReaction, + ReactionSystem, + AbstractVariable, + ExpressionType, + ReactionType, + VariableType, + SpeciesType, +) + +has_sympy = False +try: + from sympy import Float, Symbol, init_printing, symbols + from sympy.parsing import parse_expr + from sympy.parsing.sympy_parser import convert_xor, standard_transformations + + has_sympy = True +except ImportError: + sympy = None + logging.critical("This python installation does not have SymPy installed. " "Certain functionality will be disabled.") + standard_transformations = (None,) + convert_xor = None + has_sympy = False + + +logger = logging.getLogger(__name__) + +__all__ = [ + 'Species', + 'Constant', + 'Parameter', + 'Term', + 'ReservedName', + 'HydraulicVariable', + 'MathFunction', + 'Reaction' +] + + +class Species(AbstractVariable): + """A biological or chemical species that impacts water quality. + + .. rubric:: Attributes + + .. autosummary:: + + ~Species.name + ~Species.species_type + ~Species.units + ~Species.note + ~Species.diffusivity + + .. rubric:: Methods + + .. autosummary:: + + ~Species.set_tolerances + ~Species.get_tolerances + ~Species.clear_tolerances + ~Species.to_dict + + .. rubric:: Read-only Attributes + + .. autosummary:: + + ~Species.atol + ~Species.rtol + ~Species.initial_quality + ~Species.pipe_reaction + ~Species.tank_reaction + + """ + + def __init__( + self, + name: str, + species_type: Union[SpeciesType, str], + units: str, + atol: float = None, + rtol: float = None, + *, + note: Union[str, dict, ENcomment]=None, + diffusivity: float = None, + _vars: ReactionSystem = None, + _vals: VariableValues = None, + ) -> None: + """A biological or chemical species. + + Parameters + ---------- + name : str + The species name + species_type : SpeciesType or str + The species type + units : str + The units of mass for this species, see :attr:`units` property. + atol : float, optional, requires rtol + The absolute tolerance when solving this species' equations, by default None + rtol : float, optional, requires atol + The relative tolerance when solving this species' equations, by default None + note : str or dict or ENcomment, optional + Supplementary information regarding this variable, by default None + diffusivity : float, optional + Diffusivity of the species in water, by default None + + Other Parameters + ---------------- + _vars : MsxReactionSystem, optional + the reaction system this species is a part of, by default None + _vals : InitialQuality, optional + the initial quality values for this species, by default None + + Raises + ------ + KeyExistsError + if the name has already been used + TypeError + if a tank reaction is provided for a wall species + """ + super().__init__(name, note=note) + if _vars is not None and not isinstance(_vars, ReactionSystem): + raise TypeError("Invalid type for _vars, {}".format(type(_vars))) + if _vals is not None and not isinstance(_vals, InitialQuality): + raise TypeError("Invalid type for _vals, {}".format(type(_vals))) + if _vars is not None and name in _vars: + raise KeyExistsError("This variable name is already taken") + species_type = SpeciesType.get(species_type) + if species_type is None: + raise TypeError("species_type cannot be None") + self._species_type = species_type + self._tolerances = None + self.set_tolerances(atol, rtol) + self.units: str = units + """The units of mass for this species. + For bulk species, concentration is this unit divided by liters, for wall species, concentration is this unit + divided by the model's area-unit (see options). + """ + self.diffusivity: float = diffusivity + """The diffusivity of this species in water, if being used, by default None""" + self._vars = _vars + self._vals = _vals + + def set_tolerances(self, atol: float, rtol: float): + """Set the absolute and relative tolerance for the solvers. + + The user must set both values, or neither value (None). Values must be + positive. + + Parameters + ---------- + atol : float + The absolute tolerance to use + rtol : float + The relative tolerance to use + + Raises + ------ + TypeError + if only one of `atol` or `rtol` is a float + ValueError + if either value is less-than-or-equal-to zero + """ + if (self.atol is None) ^ (self.rtol is None): + raise TypeError("atol and rtol must both be float or both be None") + if self.atol is None: + self._tolerances = None + elif atol <= 0 or rtol <= 0: + raise ValueError("atol and rtol must both be positive, got atol={}, rtol={}".format(atol, rtol)) + else: + self._tolerances = (atol, rtol) + + def get_tolerances(self) -> Union[Tuple[float, float], None]: + """Get the custom solver tolerances for this species. + + Returns + ------- + Union[Tuple[float, float], None] + absolute and relative tolerances, respectively, if they are set + """ + return self._tolerances + + def clear_tolerances(self): + """Set both tolerances to None, reverting to the global options value.""" + self._tolerances = None + + @property + def atol(self) -> float: + """The absolute tolerance. Must be set using :meth:`set_tolerances`""" + if self._tolerances is not None: + return self._tolerances[0] + return None + + @property + def rtol(self) -> float: + """The relative tolerance. Must be set using :meth:`set_tolerances`""" + if self._tolerances is not None: + return self._tolerances[1] + return None + + @property + def var_type(self) -> VariableType: + """This is a species""" + return VariableType.SPECIES + + @property + def species_type(self) -> SpeciesType: + """The type of species""" + return self._species_type + + @property + def initial_quality(self): + """If a specific network has been linked, then the initial quality values for the network""" + if self._vals is not None: + return self._vals + else: + raise TypeError("This species is not linked to a NetworkData obejct, please `relink` your model") + + @property + def pipe_reaction(self): + if self._vars is not None: + return self._vars.pipe_reactions[self.name] + else: + raise AttributeError('This species is not connected to a ReactionSystem') + + @property + def tank_reaction(self): + if self._vars is not None: + return self._vars.tank_reactions[self.name] + else: + raise AttributeError('This species is not connected to a ReactionSystem') + + def to_dict(self) -> Dict[str, Any]: + """Create a dictionary representation of the object + + The species dictionary has the following format, as described using a json schema. + + .. code:: json + + { + "title": "Species", + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "species_type": { + "enum": ["bulk", "wall"] + }, + "units": { + "type": "string" + }, + "atol": { + "type": "number", + "exclusiveMinimum": 0 + }, + "rtol": { + "type": "number", + "exclusiveMinimum": 0 + }, + "note": { + "type": "string" + }, + "diffusivity": { + "type": "number", + "minimum": 0 + } + }, + "required": ["name", "species_type", "units", "pipe_reaction", "tank_reaction"], + "dependentRequired": {"atol": ["rtol"], "rtol":["atol"]} + } + + """ + ret = dict( + name=self.name, species_type=self.species_type.name.lower(), units=self.units, atol=self.atol, rtol=self.rtol + ) + + if self.diffusivity: + ret["diffusivity"] = self.diffusivity + + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + + return ret + + +class Constant(AbstractVariable): + """A constant coefficient for use in reaction expressions.""" + + def __init__(self, name: str, value: float, *, units: str = None, note: Union[str, dict, ENcomment]=None, _vars: ReactionSystem = None) -> None: + """A variable representing a constant value. + + Parameters + ---------- + name : str + The name of the variable. + value : float + The constant value. + units : str, optional + Units for the variable, by default None + note : str or dict or ENcomment, optional + Supplementary information regarding this variable, by default None + + Other Parameters + ---------------- + _vars : MsxReactionSystem, optional + the reaction system this constant is a part of, by default None + """ + super().__init__(name, note=note) + if _vars is not None and not isinstance(_vars, ReactionSystem): + raise TypeError("Invalid type for _vars, {}".format(type(_vars))) + if _vars is not None and name in _vars: + raise KeyExistsError("This variable name is already taken") + self.value = float(value) + """The value of the constant""" + self.units = units + """The units of the constant""" + self._vars = _vars + + def __call__(self, *, t=None) -> Any: + return self.value + + @property + def var_type(self) -> VariableType: + """This is a constant coefficient.""" + return VariableType.CONSTANT + + def to_dict(self) -> Dict[str, Any]: + ret = dict(name=self.name, value=self.value) + if self.units: + ret["units"] = self.units + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + return ret + + +class Parameter(AbstractVariable): + """A coefficient that is parameterized by pipe/tank.""" + + def __init__(self, name: str, global_value: float, *, units: str = None, note: Union[str, dict, ENcomment]=None, _vars: ReactionSystem = None, _vals: VariableValues=None) -> None: + """A parameterized variable for use in expressions. + + Parameters + ---------- + name : str + The name of this parameter. + global_value : float + The global value for the parameter if otherwise unspecified. + units : str, optional + The units for this parameter, by default None + note : str or dict or ENcomment, optional + Supplementary information regarding this variable, by default None + + Other Parameters + ---------------- + _vars : MsxReactionSystem, optional + the reaction system this parameter is a part of, by default None + _vals : ParameterValues, optional + the netork-specific values for this parameter, by default None + """ + super().__init__(name, note=note) + if _vars is not None and not isinstance(_vars, ReactionSystem): + raise TypeError("Invalid type for _vars, {}".format(type(_vars))) + if _vals is not None and not isinstance(_vals, ParameterValues): + raise TypeError("Invalid type for _vals, {}".format(type(_vals))) + if _vars is not None and name in _vars: + raise KeyExistsError("This variable name is already taken") + self.global_value = float(global_value) + self.units = units + self._vars = _vars + self._vals = _vals + + def __call__(self, *, t=None, pipe: float = None, tank: float = None) -> Any: + if pipe is not None and tank is not None: + raise TypeError("Both pipe and tank cannot be specified at the same time") + elif self._vals is None and (pipe is not None or tank is not None): + raise ValueError("No link provided to network-specific parameter values") + if pipe: + return self._vals.pipe_values.get(pipe, self.global_value) + elif tank: + return self._vals.tank_values.get(pipe, self.global_value) + return self.global_value + + @property + def var_type(self) -> VariableType: + """This is a parameterized coefficient.""" + return VariableType.PARAMETER + + def to_dict(self) -> Dict[str, Any]: + ret = dict(name=self.name, global_value=self.global_value) + if self.units: + ret["units"] = self.units + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + return ret + + +class Term(AbstractVariable): + def __init__(self, name: str, expression: str, *, note: Union[str, dict, ENcomment]=None, _vars: ReactionSystem = None) -> None: + """A named expression that can be used as a term in other expressions. + + Parameters + ---------- + name : str + The variable name. + expression : str + The mathematical expression to be aliased + note : str or dict or ENcomment, optional + Supplementary information regarding this variable, by default None + + Other Parameters + ---------------- + _vars : MsxReactionSystem, optional + the reaction system this species is a part of, by default None + """ + super().__init__(name, note=note) + if _vars is not None and not isinstance(_vars, ReactionSystem): + raise TypeError("Invalid type for _vars, {}".format(type(_vars))) + if _vars is not None and name in _vars: + raise KeyExistsError("This variable name is already taken") + self.expression = expression + """The expression that is aliased by this term""" + self._vars = _vars + + @property + def var_type(self) -> VariableType: + """This is a term (named expression).""" + return VariableType.TERM + + def to_dict(self) -> Dict[str, Any]: + ret = dict(name=self.name, expression=self.expression) + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + return ret + + +class ReservedName(AbstractVariable): + def __init__(self, name: str, *, note: Union[str, dict, ENcomment]=None) -> None: + """An object representing a reserved name that should not be used by the user. + + Parameters + ---------- + name : str + The reserved name. + note : str or dict or ENcomment, optional + Supplementary information regarding this variable, by default None + + Other Parameters + ---------------- + _vars : MsxReactionSystem, optional + the reaction system this species is a part of, by default None + + Raises + ------ + KeyExistsError + _description_ + """ + self.name = name + self.note = note + + @property + def var_type(self) -> VariableType: + """Variable name is a reserved word in MSX""" + return VariableType.RESERVED + + def to_dict(self) -> Dict[str, Any]: + return '{}({})'.format(self.__class__.__name__, ', '.join(['name={}'.format(repr(self.name)), 'note={}'.format(repr(self.note))])) + + +class HydraulicVariable(ReservedName): + """A variable representing instantaneous hydraulics data.""" + + def __init__(self, name: str, units: str = None, *, note: Union[str, dict, ENcomment]=None) -> None: + """A variable representing instantaneous hydraulics data. + + The user should not need to create any variables using this class, they + are created automatically by the MultispeciesModel object during initialization. + + Parameters + ---------- + name : str + The name of the variable (predefined by MSX) + units : str, optional + The units for hydraulic variable, by default None + note : str or dict or ENcomment, optional + Supplementary information regarding this variable, by default None + """ + super().__init__(name, note=note) + self.units = units + """The hydraulic variable's units""" + + +class MathFunction(ReservedName): + """A variable that is actually a mathematical function defined by MSX.""" + + def __init__(self, name: str, func: Callable, *, note: Union[str, dict, ENcomment]=None) -> None: + """A variable that is actually a mathematical function defined by MSX. + + Parameters + ---------- + name : str + The function name + func : Callable + The callable function + note : str or dict or ENcomment, optional + Supplementary information regarding this variable, by default None + """ + super().__init__(name, note=note) + self.func = func + """A callable function or SymPy function""" + + def __call__(self, *args: Any, **kwds: Any) -> Any: + return self.func(*args, **kwds) + + +class Reaction(AbstractReaction): + """A water quality biochemical reaction dynamics definition for a specific species.""" + + def __init__( + self, species_name: str, reaction_type: ReactionType, expression_type: ExpressionType, expression: str, *, note: Union[str, dict, ENcomment]=None, _vars: ReactionSystem = None + ) -> None: + """A water quality biochemical reaction dynamics definition for a specific species. + + Parameters + ---------- + species_name : str + The species (object or name) this reaction is applicable to. + reaction_type : ReactionType + The type of reaction, either PIPE or TANK + expression_type : ExpressionType + The type of reaction dynamics being described by the expression: one of RATE, FORMULA, or EQUIL. + expression : str + The mathematical expression for the right-hand-side of the reaction equation. + note : str or dict or ENcomment, optional + Supplementary information regarding this variable, by default None + + Other Parameters + ---------------- + _vars : MsxReactionSystem, optional + the reaction system this species is a part of, by default None + """ + super().__init__(species_name=species_name, note=note) + if _vars is not None and not isinstance(_vars, ReactionSystem): + raise TypeError("Invalid type for _vars, {}".format(type(_vars))) + expression_type = ExpressionType.get(expression_type) + reaction_type = ReactionType.get(reaction_type) + if reaction_type is None: + raise TypeError("Required argument reaction_type cannot be None") + if expression_type is None: + raise TypeError("Required argument expression_type cannot be None") + self.__rxn_type = reaction_type + self._expr_type = expression_type + if not expression: + raise TypeError("expression cannot be None") + self.expression = expression + """The mathematical expression (right-hand-side)""" + self._vars = _vars + + @property + def expression_type(self) -> ExpressionType: + """The type of dynamics being described: RATE, EQUIL or FORMULA""" + return self._expr_type + + @property + def reaction_type(self) -> ReactionType: + """The type (i.e., location) of reaction: will be PIPE or TANK""" + return self.__rxn_type + + def to_dict(self) -> dict: + ret = dict( + species_name=str(self.species_name), expression_type=self.expression_type.name.lower(), expression=self.expression + ) + if isinstance(self.note, ENcomment): + ret["note"] = self.note.to_dict() + elif isinstance(self.note, (str, dict, list)): + ret["note"] = self.note + return ret + + +class InitialQuality(VariableValues): + """A container for initial quality values for a species in a specific network.""" + + def __init__(self, global_value: float = 0.0, node_values: dict = None, link_values: dict = None): + """The initial quality values for a species. + + Arguments + --------- + global_value : float, optional + _description_, by default 0.0 + node_values : dict[str, float], optional + _description_, by default None + link_values : dict[str, float], optional + _description_, by default None + """ + self.global_value = global_value + """The global initial quality for this species. + + Will be set to 0.0 when not explicitly specified, and can be overridden for + specific nodes and links using the other members of this class.""" + self._node_values = node_values if node_values is not None else dict() + self._link_values = link_values if link_values is not None else dict() + + def __repr__(self) -> str: + return self.__class__.__name__ + "(global_value={}, node_values=<{} entries>, link_values=<{} entries>)".format( + self.global_value, len(self._node_values), len(self._link_values) + ) + + @property + def var_type(self) -> VariableType: + """This is data for a species""" + return VariableType.SPECIES + + @property + def node_values(self) -> Dict[str, float]: + """A mapping that overrides the global_value of the initial quality at specific nodes""" + return self._node_values + + @property + def link_values(self) -> Dict[str, float]: + """A mapping that overrides the global_value of the initial quality in specific links""" + return self._link_values + + def to_dict(self) -> Dict[str, Dict[str, float]]: + return dict(global_value=self.global_value, node_values=self._node_values.copy(), link_values=self._link_values.copy()) + + +class ParameterValues(VariableValues): + """A container for pipe and tank specific values of a parameter for a specific network.""" + + def __init__(self, *, pipe_values: dict = None, tank_values: dict = None) -> None: + """The non-global values for a parameter. + + Arguments + --------- + pipe_values : dict, optional + _description_, by default None + tank_values : dict, optional + _description_, by default None + """ + self._pipe_values = pipe_values if pipe_values is not None else dict() + self._tank_values = tank_values if tank_values is not None else dict() + + def __repr__(self) -> str: + return self.__class__.__name__ + "(pipe_values=<{} entries>, tank_values=<{} entries>)".format( + len(self._pipe_values), len(self._tank_values) + ) + + @property + def var_type(self) -> VariableType: + """This is data for a parameter""" + return VariableType.PARAMETER + + @property + def pipe_values(self) -> Dict[str, float]: + """A mapping that overrides the global_value of a parameter for a specific pipe""" + return self._pipe_values + + @property + def tank_values(self) -> Dict[str, float]: + """A mapping that overrides the global_value of a parameter for a specific tank""" + return self._tank_values + + def to_dict(self) -> Dict[str, Dict[str, float]]: + return dict(pipe_values=self._pipe_values.copy(), tank_values=self._tank_values.copy()) + diff --git a/wntr/quality/library.py b/wntr/msx/library.py similarity index 94% rename from wntr/quality/library.py rename to wntr/msx/library.py index 482523877..9e9d4bcb6 100644 --- a/wntr/quality/library.py +++ b/wntr/msx/library.py @@ -13,7 +13,7 @@ path to search for quality model files, (files with an ".msx", ".yaml", or ".json" file extension). Multiple folders should be separated using the "``;``" character. - See :class:`~wntr.quality.library.ReactionLibrary` for more details. + See :class:`~wntr.msx.library.ReactionLibrary` for more details. """ @@ -22,8 +22,8 @@ from typing import Any, ItemsView, Iterator, KeysView, List, Tuple, Union, ValuesView from pkg_resources import resource_filename -from .multispecies import MultispeciesQualityModel -from .base import ReactionType, SpeciesType, DynamicsType +from .model import MsxModel +from .base import ReactionType, SpeciesType, ExpressionType import json @@ -39,9 +39,9 @@ TANK = ReactionType.TANK BULK = SpeciesType.BULK WALL = SpeciesType.WALL -RATE = DynamicsType.RATE -EQUIL = DynamicsType.EQUIL -FORMULA = DynamicsType.FORMULA +RATE = ExpressionType.RATE +EQUIL = ExpressionType.EQUIL +FORMULA = ExpressionType.FORMULA logger = logging.getLogger(__name__) @@ -143,7 +143,7 @@ def __init__(self, extra_paths: List[str] = None, include_builtins=True, include self.reset_and_reload() def __repr__(self) -> str: - if len(self.__library_paths > 3): + if len(self.__library_paths) > 3: return "{}(initial_paths=[{}, ..., {}])".format( self.__class__.__name__, repr(self.__library_paths[0]), repr(self.__library_paths[-1]) ) @@ -219,7 +219,7 @@ def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, An load_errors.extend(errs) return load_errors - def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> List[Tuple[str, str, Union[MultispeciesQualityModel, Exception]]]: + def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> List[Tuple[str, str, Union[MsxModel, Exception]]]: """Load all valid model files in a folder. Note, this function is not recursive and does not 'walk' a directory tree. @@ -277,7 +277,7 @@ def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> Li continue if ext.lower() == ".msx": try: - new = MultispeciesQualityModel(file) + new = MsxModel(file) except Exception as e: logger.exception("Error reading file {}".format(os.path.join(folder, file))) load_errors.append((os.path.join(folder, file), "load-failed", e)) @@ -285,7 +285,7 @@ def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> Li elif ext.lower() == ".json": with open(os.path.join(folder, file), "r") as fin: try: - new = MultispeciesQualityModel.from_dict(json.load(fin)) + new = MsxModel.from_dict(json.load(fin)) except Exception as e: logger.exception("Error reading file {}".format(os.path.join(folder, file))) load_errors.append((os.path.join(folder, file), "load-failed", e)) @@ -297,7 +297,7 @@ def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> Li continue with open(os.path.join(folder, file), "r") as fin: try: - new = MultispeciesQualityModel.from_dict(yaml.safe_load(fin)) + new = MsxModel.from_dict(yaml.safe_load(fin)) except Exception as e: logger.exception("Error reading file {}".format(os.path.join(folder, file))) load_errors.append((os.path.join(folder, file), "load-failed", e)) @@ -350,15 +350,15 @@ def add_model_from_file(self, path_and_filename: str, name: str = None): if ext is None or ext.lower() not in [".msx", ".json", ".yaml"]: raise IOError("The file is in an unknown format, {}".format(ext)) if ext.lower() == ".msx": - new = MultispeciesQualityModel(path_and_filename) + new = MsxModel(path_and_filename) elif ext.lower() == ".json": with open(path_and_filename, "r") as fin: - new = MultispeciesQualityModel.from_dict(json.load(fin)) + new = MsxModel.from_dict(json.load(fin)) elif ext.lower() == ".yaml": if yaml is None: raise RuntimeError("Unable to import yaml") from yaml_err with open(path_and_filename, "r") as fin: - new = MultispeciesQualityModel.from_dict(yaml.safe_load(fin)) + new = MsxModel.from_dict(yaml.safe_load(fin)) else: # pragma: no cover raise RuntimeError("This should be impossible to reach, since ext is checked above") new._orig_file = path_and_filename @@ -368,7 +368,7 @@ def add_model_from_file(self, path_and_filename: str, name: str = None): new.name = name self.__data[new.name] = new - def get_model(self, name: str) -> MultispeciesQualityModel: + def get_model(self, name: str) -> MsxModel: """Get a reaction model from the library by model name Parameters diff --git a/wntr/msx/model.py b/wntr/msx/model.py new file mode 100644 index 000000000..18d6343ad --- /dev/null +++ b/wntr/msx/model.py @@ -0,0 +1,770 @@ +# -*- coding: utf-8 -*- + +"""Water quality model implementations. +""" + +import logging + +from typing import ( + Any, + Dict, + List, + Union, +) +import warnings + + +from wntr.msx.elements import Constant, HydraulicVariable, InitialQuality, MathFunction, Parameter, ParameterValues, Reaction, Species, Term +from wntr.utils.disjoint_mapping import KeyExistsError +from .base import ( + NetworkData, + AbstractModel, + AbstractReaction, + ReactionSystem, + AbstractVariable, + HYDRAULIC_VARIABLES, + EXPR_FUNCTIONS, + ExpressionType, + ReactionType, + VariableType, + SpeciesType, +) +from .options import MultispeciesOptions + +has_sympy = False +try: + from sympy import Float, Symbol, init_printing, symbols + from sympy.parsing import parse_expr + from sympy.parsing.sympy_parser import convert_xor, standard_transformations + + has_sympy = True +except ImportError: + sympy = None + logging.critical("This python installation does not have SymPy installed. " "Certain functionality will be disabled.") + standard_transformations = (None,) + convert_xor = None + has_sympy = False + + +logger = logging.getLogger(__name__) + +__all__ = [ + "MsxNetworkData", + "MsxReactionSystem", + "MsxModel", +] + + +class MsxReactionSystem(ReactionSystem): + """A registry for all the variables registered in the multispecies reactions model. + + This object can be used like an immutable mapping, with the ``__len__``, ``__getitem__``, + ``__iter__``, ``__contains__``, ``__eq__`` and ``__ne__`` functions being defined. + """ + + def __init__(self) -> None: + """Create a new reaction system.""" + super().__init__() + self._vars.add_disjoint_group("reserved") + self._species = self._vars.add_disjoint_group("species") + self._const = self._vars.add_disjoint_group("constant") + self._param = self._vars.add_disjoint_group("parameter") + self._term = self._vars.add_disjoint_group("term") + self._rxns = dict(pipe=dict(), tank=dict()) + self._pipes = self._rxns["pipe"] + self._tanks = self._rxns["tank"] + + @property + def species(self) -> Dict[str, Species]: + """The dictionary view onto only species""" + return self._species + + @property + def constants(self) -> Dict[str, Constant]: + """The dictionary view onto only constants""" + return self._const + + @property + def parameters(self) -> Dict[str, Parameter]: + """The dictionary view onto only parameters""" + return self._param + + @property + def terms(self) -> Dict[str, Term]: + """The dictionary view onto only named terms""" + return self._term + + @property + def pipe_reactions(self) -> Dict[str, AbstractReaction]: + """The dictionary view onto pipe reactions""" + return self._pipes + + @property + def tank_reactions(self) -> Dict[str, AbstractReaction]: + """The dictionary view onto tank reactions""" + return self._tanks + + def add_variable(self, obj: AbstractVariable) -> None: + """Add a variable object to the registry. + + The appropriate group is determined by querying the object's + var_type attribute. + + Arguments + --------- + obj : WaterQualityVariable + The variable to add. + + Raises + ------ + TypeError + if obj is not a WaterQualityVariable + KeyExistsError + if obj has a name that is already used in the registry + """ + if not isinstance(obj, AbstractVariable): + raise TypeError("Expected WaterQualityVariable object") + if obj.name in self: + raise KeyExistsError("Variable name {} already exists in model".format(obj.name)) + obj._vars = self + self._vars.add_item_to_group(obj.var_type.name.lower(), obj.name, obj) + + def add_reaction(self, obj: AbstractReaction) -> None: + """Add a reaction to the model + + Parameters + ---------- + obj : WaterQualityReaction + _description_ + + Raises + ------ + TypeError + _description_ + KeyError + _description_ + """ + if not isinstance(obj, AbstractReaction): + raise TypeError("Expected WaterQualityReaction object") + if obj.species_name not in self: + raise KeyError("Species {} does not exist in the model".format(obj.species_name)) + self._rxns[obj.reaction_type.name.lower()][obj.species_name] = obj + + def variables(self): + # FIXME: rename without "all_" for this + """A generator looping through all variables""" + for k, v in self._vars.items(): + yield k, v.var_type.name.lower(), v + + def reactions(self): + """A generator looping through all reactions""" + for k2, v in self._rxns.items(): + for k1, v1 in v.items(): + yield k1, k2, v1 + + def to_dict(self) -> dict: + return dict( + species=[v.to_dict() for v in self._species.values()], + constants=[v.to_dict() for v in self._const.values()], + parameters=[v.to_dict() for v in self._param.values()], + terms=[v.to_dict() for v in self._term.values()], + pipe_reactions=[v.to_dict() for v in self.pipe_reactions.values()], + tank_reactions=[v.to_dict() for v in self.tank_reactions.values()], + ) + + +class MsxNetworkData(NetworkData): + """A container for network-specific values associated with a multispecies water quality model.""" + + def __init__( + self, patterns: dict = None, sources: dict = None, initial_quality: dict = None, parameter_values: dict = None + ) -> None: + """A container for network-specific values associated with a multispecies water quality model. + + Data is copied from dictionaries passed in, so once created, the dictionaries passed are not connected + to this object. + + Parameters + ---------- + patterns : Dict[str, List[float]] + patterns to use for sources + sources : Dict[str, dict] + sources defined for the model + initial_quality : Dict[str, dict] + initial values for different species at different nodes, links, and the global value + parameter_values : Dict[str, dict] + parameter values for different pipes and tanks + """ + if sources is None: + sources = dict() + if initial_quality is None: + initial_quality = dict() + if patterns is None: + patterns = dict() + if parameter_values is None: + parameter_values = dict() + self._source_dict = dict() + self._pattern_dict = dict() + self._initial_quality_dict: Dict[str, InitialQuality] = dict() + self._parameter_value_dict: Dict[str, ParameterValues] = dict() + + self._source_dict = sources.copy() + self._pattern_dict = patterns.copy() + for k, v in initial_quality.items(): + self._initial_quality_dict[k] = InitialQuality(**v) + for k, v in parameter_values.items(): + self._parameter_value_dict[k] = ParameterValues(**v) + + @property + def sources(self): + """A dictionary of sources, keyed by species name""" + return self._source_dict + + @property + def initial_quality(self) -> Dict[str, InitialQuality]: + """A dictionary of initial quality values, keyed by species name""" + return self._initial_quality_dict + + @property + def patterns(self): + """A dictionary of patterns, specific for the water quality model, keyed by pattern name. + + .. note:: the WaterNetworkModel cannot see these patterns, so names can be reused, so be + careful. Likewise, this model cannot see the WaterNetworkModel patterns, so this could be + a source of some confusion. + """ + return self._pattern_dict + + @property + def parameter_values(self): + """A dictionary of parameter values, keyed by parameter name""" + return self._parameter_value_dict + + def add_pattern(self, name: str, multipliers: List[float]): + """Add a water-quality-model-specific pattern. + + Arguments + --------- + name : str + The pattern name + multipliers : List[float] + The pattern multipliers + """ + self._pattern_dict[name] = multipliers + + def init_new_species(self, species: Species): + """(Re)set the initial quality values for a species to a new container + + Arguments + --------- + species : Species + The species to (re) initialized. + + Returns + ------- + InitialQuality + the new initial quality values container + """ + self._initial_quality_dict[str(species)] = InitialQuality() + if isinstance(species, Species): + species._vals = self._initial_quality_dict[str(species)] + return self._initial_quality_dict[str(species)] + + def remove_species(self, species: Union[Species, str]): + """Remove a species from the network specific model. + + Arguments + --------- + species : Union[Species, str] + _description_ + """ + if isinstance(species, Species): + species._vals = None + try: + self._initial_quality_dict.__delitem__(str(species)) + except KeyError: + pass + + def init_new_parameter(self, param: Parameter): + """(Re)initialize parameter values for a parameter. + + Arguments + --------- + param : Parameter + _description_ + + Returns + ------- + _type_ + _description_ + """ + self._parameter_value_dict[str(param)] = ParameterValues() + if isinstance(param, Parameter): + param._vals = self._parameter_value_dict[str(param)] + return self._parameter_value_dict[str(param)] + + def remove_parameter(self, param: Union[Parameter, str]): + """Remove values associated with a specific parameter. + + Arguments + --------- + param : Union[Parameter, str] + _description_ + """ + if isinstance(param, Parameter): + param._vals = None + try: + self._parameter_value_dict.__delitem__(str(param)) + except KeyError: + pass + + def to_dict(self) -> dict: + ret = dict(initial_quality=dict(), parameter_values=dict(), sources=dict(), patterns=dict()) + for k, v in self._initial_quality_dict.items(): + ret["initial_quality"][k] = v.to_dict() + for k, v in self._parameter_value_dict.items(): + ret["parameter_values"][k] = v.to_dict() + ret["sources"] = self._source_dict.copy() + ret["patterns"] = self._pattern_dict.copy() + return ret + + +class MsxModel(AbstractModel): + """A multispecies water quality model for use with WNTR EPANET-MSX simulator.""" + + def __init__(self, msx_file_name=None) -> None: + """A full, multi-species water quality model. + + Arguments + --------- + msx_file_name : str, optional + an MSX file to read in, by default None + """ + super().__init__(msx_file_name) + self._references: List[Union[str, Dict[str, str]]] = list() + self._options = MultispeciesOptions() + self._rxn_system = MsxReactionSystem() + self._net_data = MsxNetworkData() + self._wn = None + + for v in HYDRAULIC_VARIABLES: + self._rxn_system.add_variable(HydraulicVariable(**v)) + for k, v in EXPR_FUNCTIONS.items(): + self._rxn_system.add_variable(MathFunction(name=k.lower(), func=v)) + self._rxn_system.add_variable(MathFunction(name=k.capitalize(), func=v)) + self._rxn_system.add_variable(MathFunction(name=k.upper(), func=v)) + + if msx_file_name is not None: + from wntr.epanet.msx.io import MsxFile + + MsxFile.read(msx_file_name, self) + + def __repr__(self) -> str: + ret = "{}(".format(self.__class__.__name__) + if self.name: + ret = ret + "name={}".format(repr(self.name)) + elif self.title: + ret = ret + "title={}".format(repr(self.title)) + elif self._orig_file: + ret = ret + "{}".format(repr(self._orig_file)) + ret = ret + ")" + return ret + + @property + def references(self) -> List[Union[str, Dict[str, str]]]: + """A list of strings or mappings that provide references for this model. + + .. note:: + This property is a list, and should be modified using append/insert/remove. + Members of the list should be json seriealizable (i.e., strings or dicts of strings). + """ + return self._references + + @property + def reaction_system(self) -> MsxReactionSystem: + """The reaction variables defined for this model.""" + return self._rxn_system + + @property + def network_data(self) -> MsxNetworkData: + """The network-specific values added to this model.""" + return self._net_data + + @property + def options(self) -> MultispeciesOptions: + """The MSX model options""" + return self._options + + @property + def species_name_list(self) -> List[str]: + """all defined species names""" + return list(self.reaction_system.species.keys()) + + @property + def constant_name_list(self) -> List[str]: + """all defined coefficient names""" + return list(self.reaction_system.constants.keys()) + + @property + def parameter_name_list(self) -> List[str]: + """all defined coefficient names""" + return list(self.reaction_system.parameters.keys()) + + @property + def term_name_list(self) -> List[str]: + """all defined function (MSX 'terms') names""" + return list(self.reaction_system.terms.keys()) + + @options.setter + def options(self, value): + if isinstance(value, dict): + self._options = MultispeciesOptions.factory(value) + elif not isinstance(value, MultispeciesOptions): + raise TypeError("Expected a MultispeciesOptions object, got {}".format(type(value))) + else: + self._options = value + + def add_species( + self, + name: str, + species_type: SpeciesType, + units: str, + atol: float = None, + rtol: float = None, + note: Any = None, + diffusivity: float = None, + ) -> Species: + """Add a species to the model + + Arguments + --------- + name : str + _description_ + species_type : SpeciesType + _description_ + units : str + _description_ + atol : float, optional + _description_, by default None + rtol : float, optional + _description_, by default None + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + diffusivity : float, optional + Diffusivity in water for this species. + + Raises + ------ + KeyError + _description_ + + Returns + ------- + Species + _description_ + """ + if name in self._rxn_system: + raise KeyError( + "Variable named {} already exists in model as type {}".format( + name, self._rxn_system._vars.get_groupname(name) + ) + ) + species_type = SpeciesType.get(species_type, allow_none=False) + iq = self.network_data.init_new_species(name) + new = Species( + name=name, + species_type=species_type, + units=units, + atol=atol, + rtol=rtol, + note=note, + _vars=self._rxn_system, + _vals=iq, + diffusivity=diffusivity, + ) + self.reaction_system.add_variable(new) + return new + + def remove_species(self, species): + """Remove a species from the model. + + Removes from both the reaction_system and the network_data. + + Arguments + --------- + species : _type_ + _description_ + """ + name = str(species) + self.network_data.remove_species(name) + # FIXME: validate additional items + self.reaction_system.__delitem__(name) + + def add_constant(self, name: str, value: float, units: str = None, note: Any = None) -> Constant: + """Add a constant coefficient to the model. + + Arguments + --------- + name : str + _description_ + value : float + _description_ + units : str, optional + _description_, by default None + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + + Raises + ------ + KeyError + _description_ + + Returns + ------- + Constant + _description_ + """ + if name in self._rxn_system: + raise KeyError( + "Variable named {} already exists in model as type {}".format( + name, self._rxn_system._vars.get_groupname(name) + ) + ) + new = Constant(name=name, value=value, units=units, note=note, _vars=self._rxn_system) + self.reaction_system.add_variable(new) + return new + + def remove_constant(self, const): + """Remove a constant coefficient from the model. + + Arguments + --------- + const : _type_ + _description_ + """ + name = str(const) + # FIXME: validate deletion + self.reaction_system.__delitem__(name) + + def add_parameter(self, name: str, global_value: float, units: str = None, note: Any = None) -> Parameter: + """Add a parameterized coefficient to the model. + + Arguments + --------- + name : str + _description_ + global_value : float + _description_ + units : str, optional + _description_, by default None + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + + Raises + ------ + KeyError + _description_ + + Returns + ------- + Parameter + _description_ + """ + if name in self._rxn_system: + raise KeyError( + "Variable named {} already exists in model as type {}".format( + name, self._rxn_system._vars.get_groupname(name) + ) + ) + pv = self.network_data.init_new_parameter(name) + new = Parameter(name=name, global_value=global_value, units=units, note=note, _vars=self._rxn_system, _vals=pv) + self.reaction_system.add_variable(new) + return new + + def remove_parameter(self, param): + """Remove a parameterized coefficient from the model. + + Arguments + --------- + param : _type_ + _description_ + """ + name = str(param) + self.network_data.remove_parameter(name) + # FIXME: validate additional items + self.reaction_system.__delitem__(name) + + def add_term(self, name: str, expression: str, note: Any = None) -> Term: + """Add a named expression (term) to the model. + + Arguments + --------- + name : str + _description_ + expression : str + _description_ + note : str | dict | ENcomment, optional + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + + Raises + ------ + KeyError + _description_ + + Returns + ------- + Term + _description_ + """ + if name in self._rxn_system: + raise KeyError( + "Variable named {} already exists in model as type {}".format( + name, self._rxn_system._vars.get_groupname(name) + ) + ) + new = Term(name=name, expression=expression, note=note, _vars=self._rxn_system) + self.reaction_system.add_variable(new) + return new + + def remove_term(self, term): + """Remove a named expression (term) from the model. + + Arguments + --------- + term : _type_ + _description_ + """ + name = str(term) + # FIXME: validate deletion + self.reaction_system.__delitem__(name) + + def add_reaction( + self, species_name: str, reaction_type: ReactionType, expression_type: ExpressionType, expression: str, note: Any = None + ) -> AbstractReaction: + """Add a reaction to a species in the model. + + Note that all species need to have both a pipe and tank reaction defined + unless all species are bulk species and + the tank reactions are identical to the pipe reactions. However, it is not + recommended that users take this approach. + + Once added, access the reactions from the species' object. + + Arguments + --------- + species_name : str + _description_ + location_type : LocationType + _description_ + expression_type : ExpressionType + _description_ + expression : str + _description_ + note : str | dict | ENcomment, optional + Supplementary information regarding this reaction, by default None + (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + + Raises + ------ + TypeError + _description_ + + Returns + ------- + MultispeciesReaction + _description_ + """ + species_name = str(species_name) + species = self.reaction_system.species[species_name] + if species.var_type is not VariableType.SPECIES: + raise TypeError("Variable {} is not a Species, is a {}".format(species.name, species.var_type)) + reaction_type = ReactionType.get(reaction_type, allow_none=False) + expression_type = ExpressionType.get(expression_type, allow_none=False) + new = Reaction( + reaction_type=reaction_type, + expression_type=expression_type, + species_name=species_name, + expression=expression, + note=note, + ) + self.reaction_system.add_reaction(new) + return new + + def remove_reaction(self, species_name: str, reaction_type: ReactionType) -> None: + """Remove a reaction at a specified location from a species. + + Parameters + ---------- + species : str + the species name to remove the reaction from + location : LocationType + the location to remove the reaction from + """ + reaction_type = ReactionType.get(reaction_type, allow_none=False) + species_name = str(species_name) + del self.reaction_system.reactions[reaction_type.name.lower()][species_name] + + def to_dict(self) -> dict: + from wntr import __version__ + + return { + "wntr-version": "{}".format(__version__), + "name": self.name, + "title": self.title, + "description": self.description if self.description is None or "\n" not in self.description else self.description.splitlines(), + "references": self.references.copy(), + "reaction_system": self.reaction_system.to_dict(), + "network_data": self.network_data.to_dict(), + "options": self.options.to_dict(), + } + + @classmethod + def from_dict(cls, data) -> 'MsxModel': + from wntr import __version__ + + ver = data.get("wntr-version", None) + if ver != __version__: + logger.warn("Importing from a file created by a different version of wntr, compatibility not guaranteed") + warnings.warn("Importing from a file created by a different version of wntr, compatibility not guaranteed") + new = cls() + new.name = data.get("name", None) + new.title = data.get("title", None) + new.description = data.get("description", None) + if isinstance(new.description, (list, tuple)): + desc = "\n".join(new.description) + new.description = desc + new.references.extend(data.get("references", list())) + + rxn_sys = data.get("reaction_system", dict()) + for var in rxn_sys.get("species", list()): + new.add_species(**var) + for var in rxn_sys.get("constants", list()): + new.add_constant(**var) + for var in rxn_sys.get("parameters", list()): + new.add_parameter(**var) + for var in rxn_sys.get("terms", list()): + new.add_term(**var) + for rxn in rxn_sys.get("pipe_reactions", list()): + rxn["reaction_type"] = "pipe" + new.add_reaction(**rxn) + for rxn in rxn_sys.get("tank_reactions", list()): + rxn["reaction_type"] = "tank" + new.add_reaction(**rxn) + + new._net_data = MsxNetworkData(**data.get("network_data", dict())) + for species in new.reaction_system.species: + if species not in new.network_data.initial_quality: + new.network_data.init_new_species(species) + for param in new.reaction_system.parameters: + if param not in new.network_data.parameter_values: + new.network_data.init_new_parameter(param) + + opts = data.get("options", None) + if opts: + new.options = opts + + return new diff --git a/wntr/quality/options.py b/wntr/msx/options.py similarity index 100% rename from wntr/quality/options.py rename to wntr/msx/options.py diff --git a/wntr/network/model.py b/wntr/network/model.py index 47919dd09..f6c6cb2ae 100644 --- a/wntr/network/model.py +++ b/wntr/network/model.py @@ -336,14 +336,14 @@ def msx(self): def msx(self, msx): if msx is None: self._msx = None - from wntr.quality.base import AbstractQualityModel + from wntr.msx.base import AbstractQualityModel if not isinstance(msx, AbstractQualityModel): raise TypeError('Expected AbstractQualityModel (or derived), got {}'.format(type(msx))) def add_msx_model(self, msx_filename=None): """Add an msx model from a MSX input file (.msx extension)""" - from wntr.quality.multispecies import MultispeciesQualityModel - self._msx = MultispeciesQualityModel(msx_file_name=msx_filename) + from wntr.msx.model import MsxModel + self._msx = MsxModel(msx_file_name=msx_filename) def remove_msx_model(self): """Remove an msx model from the network""" diff --git a/wntr/quality/MSXPY_toolkit.py b/wntr/quality/MSXPY_toolkit.py deleted file mode 100644 index d7a9c374b..000000000 --- a/wntr/quality/MSXPY_toolkit.py +++ /dev/null @@ -1,876 +0,0 @@ -# # -*- coding: utf-8 -*- -# """ -# Created on Fri Jun 18 10:52:45 2021 - -# @author: Matthew -# """ - -# import numpy as np -# import epanet_toolkit as epa -# import msx_toolkit as msx -# import pandas as pd -# import os -# from sklearn.cluster import KMeans -# from sklearn.metrics import silhouette_score -# import wntr -# from scipy.linalg import cholesky -# from SALib.analyze import morris as morris_a - -# def MSXRunQual(species='all', nodes='all', links='all',by_species='yes',bin_read='no',t_start=-1): -# #Function to run a MSX model and extract timeseries of specified species, links, and nodes -# #Inputs are a list of the desired species, nodes, links, and whether the results -# #should be organized by species, or by model element (links and nodes) -# #if no nodes or links are desired, then an empty list [] should be used -# #The t_start option is a number in days which says when the results from the -# #simulation should start to be recorded. This is helpful if a model needs to run -# #to reach hydraulic equilbriums and the first X number of days of the simulation -# #are not needed for the results - -# #The bin_read option allows for the model to be run all at once and -# #then the binary file is read. The reporting timesteps are based on the -# #reporting timestep from the inp file. If not, the results -# #are read at each timestep from the msx model run. - -# if bin_read=='no': - -# #Extract the indicies and names for the species of interest -# if (species=='all'): -# species_names=[] -# #Get the number of species 3 for species -# species_num=msx.MSXgetcount(3) -# #Get a list for the species id's -# for i in range(species_num): -# species_names.append(msx.MSXgetID(3,i+1)) -# #get an array for the species indicies -# species_ind=np.linspace(1,species_num,species_num) - -# #If there is a user supplied list of species to be extracted -# else: -# #Make the user-input list the variable species_names -# species_names=species -# #Extract the indicies for the species being specified -# species_ind=[] -# for i in range(len(species_names)): -# species_ind.append(msx.MSXgetindex(3,species_names[i])) - -# #Extract the node indicies for the specified nodes -# if (nodes=='all'): -# node_names=[] -# #Get the number of nodes- 0 for nodes -# node_num=epa.ENgetcount(0) -# #Get a list for the node id's -# for i in range(node_num): -# node_names.append(epa.ENgetnodeid(i+1)) -# #Get an array for the node indicies -# node_ind=np.linspace(1,node_num,node_num) - -# #If there are actual nodes specified to be extracted -# else: -# #Make the user-input list the variable node_names -# node_names=nodes -# #Extract the indicies for the nodes being specified -# node_ind=[] -# for i in range(len(node_names)): -# node_ind.append(epa.ENgetnodeindex(node_names[i])) - -# #Do the same but for links - -# #Extract the link indicies for the specified nodes -# if (links=='all'): -# link_names=[] -# #Get the number of links- 2 for links -# link_num=epa.ENgetcount(2) -# #Get a list for the link id's -# for i in range(link_num): -# link_names.append(epa.ENgetlinkid(i+1)) -# #Get an array for the node indicies -# link_ind=np.linspace(1,link_num,link_num) - -# #If there are actual nodes specified to be extracted -# else: -# #Make the user-input list the variable node_names -# link_names=links -# #Extract the indicies for the nodes being specified -# link_ind=[] -# for i in range(len(link_names)): -# link_ind.append(epa.ENgetlinkindex(link_names[i])) - - - -# #Create array to extract the time of the simulation steps -# T=[] - -# #Initialize MSX for first timestep -# msx.MSXinit(0) - -# #Initialize time left -# t_left=1 - -# #Create overall results dictionary -# results={} - -# #If organized by species -# if (by_species=='yes'): -# #Create a new dictionary for each species and then within each species -# #make a node and link list -# for i in range(len(species_names)): -# results[species_names[i]]={} -# results[species_names[i]]['node']=[] -# results[species_names[i]]['link']=[] - -# #If organized by element -# if (by_species=='no'): -# #Create node key and another dictionary -# results['node']={} -# #Create link key and another dictionary -# results['link']={} - -# #Within each dictionary make a list to be populated later during model run -# #nodes -# for i in range(len(node_names)): -# results['node'][node_names[i]]=[] -# #links -# for i in range(len(link_names)): -# results['link'][link_names[i]]=[] - - -# #Change the input of t_start from days to seconds -# t_start=t_start*24*60*60 - - -# #Create loop to run model -# while (t_left>0): -# #Solve the quality for that timestep -# [t,t_left]=msx.MSXstep() - -# #If the results should be extracted based on t_start aka the simulation -# #time has passed the time when we care about the results -# if t>t_start: - -# #Append time for that step to the overall time list -# T.append(t) - -# #If the results are to be extracted by model element -# if (by_species=='no'): -# #Extract the results from each node into a different list -# for j in range(len(node_names)): -# #Create a row for the overall results list -# Q_row=[] -# #Extract the results for each desired species at that node -# for i in range(len(species_names)): -# #0 for node #node_ind and the species_ind -# Q_row.append(msx.MSXgetqual(0,int(node_ind[j]),int(species_ind[i]))) -# results['node'][node_names[j]].append(Q_row) - -# #Extract the results from each link into a different list -# for j in range(len(link_names)): -# #Create a row for the overall results list -# Q_row=[] -# #Extract the results for each desired species at that node -# for i in range(len(species_names)): -# #0 for link #node_ind and the species_ind -# Q_row.append(msx.MSXgetqual(1,int(link_ind[j]),int(species_ind[i]))) -# results['link'][link_names[j]].append(Q_row) - -# #If the results are to be extracted by species -# if (by_species=='yes'): -# for i in range(len(species_names)): -# #First extract the nodes and then the links -# #Create empty lists for each row to be added -# Q_row_node=[] -# Q_row_link=[] - -# #Extract results by node -# for j in range(len(node_names)): -# Q_row_node.append(msx.MSXgetqual(0,int(node_ind[j]),int(species_ind[i]))) -# results[species_names[i]]['node'].append(Q_row_node) - -# #Extract results by link -# for j in range(len(link_names)): -# Q_row_link.append(msx.MSXgetqual(1,int(link_ind[j]),int(species_ind[i]))) -# results[species_names[i]]['link'].append(Q_row_link) - - - -# #After the simulation is complete go through the results one more time and -# #convert the lists into dataframes -# if (by_species=='no'): -# #Nodes -# for i in range(len(node_names)): -# results['node'][node_names[i]]=pd.DataFrame(results['node'][node_names[i]],index=T,columns=species_names) - -# #Links -# for i in range(len(link_names)): -# results['link'][link_names[i]]=pd.DataFrame(results['link'][link_names[i]],index=T,columns=species_names) - -# if (by_species=='yes'): -# #Nodes -# for i in range(len(species_names)): -# results[species_names[i]]['node']=pd.DataFrame(results[species_names[i]]['node'],index=T,columns=node_names) - -# #links -# for i in range(len(species_names)): -# results[species_names[i]]['link']=pd.DataFrame(results[species_names[i]]['link'],index=T,columns=link_names) - -# if bin_read=='yes': - -# #Solve the quality of the model -# msx.MSXsolveQ() - -# #Save quality results to binary file -# #Add the process id to the binary file name so that multiple processes are -# #not trying to read from the same file if it is run in parallel -# filename='results_temp'+str(os.getpid())+'.bin' -# msx.MSXsaveoutfile(filename) - -# #def MSXBinReader(filename, epanetinpfile): - -# #This code is from Jon Buckhardt that I lightly edited -# duration=epa.ENgettimeparam(0) -# with open(filename, 'rb') as fin: -# ftype = '=f4' -# idlen = 32 -# prolog = np.fromfile(fin, dtype = np.int32, count = 6) -# magic1 = prolog[0] -# version = prolog[1] -# nnodes = prolog[2] -# nlinks = prolog[3] -# nspecies = prolog[4] -# reportstep = prolog[5] -# species_list = [] -# node_list = GetNodeNameList() -# link_list = GetLinkNameList() - -# for i in range(nspecies): -# species_len = int(np.fromfile(fin, dtype = np.int32, count = 1)) -# species_name = ''.join(chr(f) for f in np.fromfile(fin, dtype = np.uint8, count = species_len) if f!=0) -# species_list.append(species_name) - - -# species_mass = [] -# for i in range(nspecies): -# species_mass.append(''.join(chr(f) for f in np.fromfile(fin, dtype = np.uint8, count = 16) if f != 0)) -# timerange = range(0, duration+1, reportstep) - -# tr = len(timerange) - -# row1 = ['node']*nnodes*len(species_list)+['link']*nlinks*len(species_list) -# row2 = [] -# for i in [nnodes,nlinks]: -# for j in species_list: -# row2.append([j]*i) -# row2 = [y for x in row2 for y in x] -# row3 = [node_list for i in species_list] + [link_list for i in species_list] -# row3 = [y for x in row3 for y in x] - -# tuples = list(zip(row1, row2, row3)) -# index = pd.MultiIndex.from_tuples(tuples, names = ['type','species','name']) - -# try: -# data = np.fromfile(fin, dtype = np.dtype(ftype), count = tr*(len(species_list*(nnodes + nlinks)))) -# data = np.reshape(data, (tr, len(species_list*(nnodes + nlinks)))) -# except Exception as e: -# print(e) -# print ("oops") -# postlog = np.fromfile(fin, dtype = np.int32, count = 4) -# offset = postlog[0] -# numreport = postlog[1] -# errorcode = postlog[2] -# magicnew = postlog[3] -# if magic1 == magicnew: -# #print("Magic# Match") -# df_fin = pd.DataFrame(data.transpose(), index = index, columns = timerange) -# df_fin = df_fin.transpose() -# else: -# print("Magic#s do not match!") -# #return df_fin - -# #df is a multilevel index dataframe of all of the results - -# #Now I am going to repackage the results so that it fits with my struct structure -# #Of how I was doing the results before. This may take a bit of time but I want -# #things how I want them:) - -# #Create the dictionary -# results={} - -# #Go through all the nodes and put data from the dataframe into the correct place -# #in the results dictionary - -# if nodes=='all': -# nodes=GetNodeNameList() - -# if links=='all': -# links=GetLinkNameList() - -# if species=='all': -# species=GetSpeciesNameList() - - - -# if by_species=='no': - -# #Create a dictionary within the dictionary for nodes and links -# results['node']={} - -# results['link']={} - -# for i in range(len(nodes)): -# #Put the dataframe in the dictionary at the correct location -# results['node'][nodes[i]]=df_fin.loc[:,('node',species,nodes[i])] -# #Fix the index so it is no longer a multiindex -# results['node'][nodes[i]].columns=results['node'][nodes[i]].columns.droplevel(['type','name']) - -# for i in range(len(links)): -# #Put the dataframe in the dictionary at the correct location -# results['link'][links[i]]=df_fin.loc[:,('link',species,links[i])] -# #Fix the index so it is no longer a multiindex -# results['link'][links[i]].columns=results['link'][links[i]].columns.droplevel(['type','name']) - -# if by_species=='yes': - -# for i in range(len(species)): -# #Create a dictionary for that species -# results[species[i]]={} - -# #Put the concentrations of the nodes of that species in the right place -# results[species[i]]['node']=df_fin.loc[:,('node',species[i],nodes)] -# #Fix the index so it is no longer a multiindex -# results[species[i]]['node'].columns=results[species[i]]['node'].columns.droplevel(['type','species']) - -# #Put the concentrations of the links of that species in the right place -# results[species[i]]['link']=df_fin.loc[:,('link',species[i],links)] -# #Fix the index so it is no longer a multiindex -# results[species[i]]['link'].columns=results[species[i]]['link'].columns.droplevel(['type','species']) - -# #Remove the -# try: -# os.remove(filename) -# except: -# print('Error removing ' + filename) - -# return results - -# #Get a list of all the node names -# def GetNodeNameList(): -# node_names=[] -# #Get the number of nodes- 0 for nodes -# node_num=epa.ENgetcount(0) -# #Get a list for the node id's -# for i in range(node_num): -# node_names.append(epa.ENgetnodeid(i+1)) -# #Get an array for the node indicies -# #node_ind=np.linspace(1,node_num,node_num) -# return node_names - -# #Get a list of all link names -# def GetLinkNameList(): -# link_names=[] -# #Get the number of nodes- 2 for links -# link_num=epa.ENgetcount(2) -# #Get a list for the node id's -# for i in range(link_num): -# link_names.append(epa.ENgetlinkid(i+1)) -# #Get an array for the node indicies -# #node_ind=np.linspace(1,node_num,node_num) -# return link_names - - - -# #Get a list of all the species names -# def GetSpeciesNameList(): -# species_names=[] -# #Get the number of species 3 for species -# species_num=msx.MSXgetcount(3) -# #Get a list for the species id's -# for i in range(species_num): -# species_names.append(msx.MSXgetID(3,i+1)) -# return species_names - -# def GetConstantNameList(): -# #Get the name for each constant -# constant_names=[] -# #Get the number of constants -# constants_num=msx.MSXgetcount(6) -# for i in range(constants_num): -# #Get the name of each specific constant, 6 for constant -# constant_names.append(msx.MSXgetID(6,i+1)) -# return constant_names - -# def TimeToCriticalValue(results,element_type='node',element='1',species='cNH2CL',crit_val=1.46): -# #As currently written, assumes results are NOT by species and that the -# #critical value is decreasing, finding the value on the way down - -# element_results=results[element_type][element] -# chlor=element_results.loc[:,species] -# chlor=chlor[chlor>crit_val] -# t_crit=np.max(chlor.index) -# return t_crit - -# def TimeToCriticalValueSeries(chlor,crit_val=1.46): -# #Same as function above but takes a series as an input instead of the overall results dictionary - -# #As currently written, assumes results are NOT by species and that the -# #critical value is decreasing, finding the value on the way down - -# chlor=chlor[chlor>crit_val] -# t_crit=np.max(chlor.index) -# return t_crit - -# def GetConstants(con_get): -# #Returns a numpy array with the constants of a model - -# #Get the indicies of the constants of interest -# inds=[] -# for i in range(len(con_get)): -# inds.append(msx.MSXgetindex(6,con_get[i])) - -# #Make an array holding the initial value for each constant -# constants=np.zeros((len(inds),1)) -# #Populate that array with the initial value of each constant -# #IMPORTANT: Requires that the input vector is the indicies starting from 1 -# #not starting from 0 which is done in the previous for loop -# for i in range(len(inds)): -# constants[i] = msx.MSXgetconstant(inds[i]) - -# return constants - -# def GetInitialConcentration(node,species): -# #Inputs: Nodes of interest and species of interest -# #The node input is the ID of the node not the index number -# #Returns a numpy array with the initial concentration of the specified -# #Species at the specified node - - -# #Get the index of the specified node -# node_ind=epa.ENgetnodeindex(node) - - -# #Get the indicies of the species of interest -# inds=[] -# #Get the indicies of the species of interest -# for i in range(len(species)): -# inds.append(msx.MSXgetindex(3,species[i])) - -# #Make an array holding the initial value for each species -# initial_con=np.zeros((len(inds),1)) - -# #Populate that array with the initial value of each initial species at the -# #specified node, input to the function -# for i in range(len(inds)): -# initial_con[i] = msx.MSXgetinitqual(0,node_ind,inds[i]) - -# return initial_con - - -# def SetConstants(con_get,given_constants): -# #Set constants to specific values -# #con_get is a list with the IDs of the constants to be varied -# #given_constants is a numpy array of the values of the constants to be changed -# #the order of IDs in con_get must be the same as the order of the values in -# #given_constants - -# #Get the indicies of the constants of interest -# inds=[] -# for i in range(len(con_get)): -# inds.append(msx.MSXgetindex(6,con_get[i])) - -# #Populate that array with the initial value of each constant -# for i in range(len(inds)): -# msx.MSXsetconstant(inds[i],given_constants[i]) - -# def SetInitialConcentration(node,species,init_val): -# #Inputs: Nodes of interest and species of interest, and vector of species values -# #The node input is the ID of the node not the index number - -# if (len(species)!=len(init_val)): -# raise Exception('The length of species IDs list and species value array are not equal') - -# #Get the index of the specified node -# node_ind=epa.ENgetnodeindex(node) - -# #Get the indicies of the species of interest -# inds=[] -# for i in range(len(species)): -# inds.append(msx.MSXgetindex(3,species[i])) - -# #Set the species of interest to the specified values -# for i in range(len(inds)): -# msx.MSXsetinitqual(0,node_ind,inds[i],init_val[i]) - -# def SetGlobalInitialConcentration(species,init_val): - - -# #Get the number of nodes in the model -# node_num=epa.ENgetcount(0) - -# #Get the number of links- 2 for links -# link_num=epa.ENgetcount(2) - -# #Get the indicies of the species of interest -# inds=[] -# for i in range(len(species)): -# inds.append(msx.MSXgetindex(3,species[i])) - -# #Loop through each node -# #Set the species of interest to the specified values -# #For each species -# for i in range(len(inds)): -# #For each node -# for j in range(node_num): -# #j+1 because epanet indicies start from 1 not 0 like python -# msx.MSXsetinitqual(0,j+1,inds[i],init_val[i]) - -# #Loop through each species -# #Set the species of interest to the specified values -# #For each species -# for i in range(len(inds)): -# #For each link -# for j in range(link_num): -# #j+1 because epanet indicies start from 1 not 0 like python -# msx.MSXsetinitqual(1,j+1,inds[i],init_val[i]) - - - -# def GetAllNodeDemands(): -# #Get the base demands for each node -# #Get the number of nodes -# node_num=epa.ENgetcount(0) -# #Create a list to put the values -# node_demands=[] -# #Extract the demands from the model -# for i in range(node_num): -# node_demands.append(epa.ENgetnodevalue(i+1, 1)) -# #Turn the list into an array -# node_demands=np.array(node_demands) -# return node_demands - -# def SetAllNodeDemands(given_demands): -# #Get the number of nodes -# node_num=epa.ENgetcount(0) -# #Raise an error if the number of demands supplied does not match the -# #number of nodes in the model -# if (node_num!=len(given_demands)): -# raise Exception('The number of demands provided dose not match the total number of nodes in the model') -# #Set the demands in the model -# for i in range(len(given_demands)): -# epa.ENsetnodevalue(i+1, 1, given_demands[i]) - -# def SetNodeDemands(nodes,given_demands): -# #Set baseline demands in specific nodes -# for i in range(len(nodes)): -# epa.ENsetnodevalue(epa.ENgetnodeindex(nodes[i]), 1, given_demands[i]) - -# def MonochloramineSetTemp(Temp,unit,temp_cons): -# #This function changes the temperature-dependant model constants in the -# #Monochloramine Decay model (found in Wahman 2018, developed by others) - -# if unit=='F': -# #Convert to Kelvin -# Temp_k=(Temp-32)*(5/9)+273.15 -# if unit=='C': -# #Convert to Kelvin -# Temp_k=Temp+273.15 -# if unit=='K': -# #It already is in Kelvin but change the variable name -# Temp_k=Temp - -# #Set constants based on the temperature - -# #Create a list of the acceptable constants to be varied -# temp_cons_acceptable=['k1','k2','k3','AC1','AC2','AC3','KNH4','KHOCL','KH2CO3','KHCO3','KW'] - -# #Check to make sure the constants supplied are in that list -# for k in range(len(temp_cons)): -# if temp_cons[k] not in temp_cons_acceptable: -# raise Exception('One of the supplied constant names does not exist in the model') - -# #Create a list which is the same length as temp_cons -# temp_con_val_list=[None]*len(temp_cons) - -# #Loop through each value of temp_cons and populate temp_con_val_list -# for i in range(len(temp_cons)): - -# #Formule for each temperature-dependant constant are found in Wahman 2018 - -# if temp_cons[i]=='k1': -# temp_con_val_list[i]=6.6*10**8*np.exp(-1510/Temp_k) -# if temp_cons[i]=='k2': -# temp_con_val_list[i]=1.38*10**8*np.exp(-8800/Temp_k) -# if temp_cons[i]=='k3': -# temp_con_val_list[i]=3.0*10**5*np.exp(-2010/Temp_k) -# if temp_cons[i]=='AC1': -# temp_con_val_list[i]=1.05*10**7*np.exp(-2169/Temp_k) -# if temp_cons[i]=='AC2': -# temp_con_val_list[i]=8.19*10**6*np.exp(-4026/Temp_k) -# if temp_cons[i]=='AC3': -# temp_con_val_list[i]=4.2*10**31*np.exp(-22144/Temp_k) -# if temp_cons[i]=='KNH4': -# temp_con_val_list[i]=10**-(1.03*10**-4*Temp_k**2-9.21*10**-2*Temp_k+27.6) -# if temp_cons[i]=='KHOCL': -# temp_con_val_list[i]=10**-(1.18*10**-4*Temp_k**2-7.86*10**-2*Temp_k+20.5) -# if temp_cons[i]=='KH2CO3': -# temp_con_val_list[i]=10**-(1.48*10**-4*Temp_k**2-9.39*10**-2*Temp_k+21.2) -# if temp_cons[i]=='KHCO3': -# temp_con_val_list[i]=10**-(1.19*10**-4*Temp_k**2-7.99*10**-2*Temp_k+23.6) -# if temp_cons[i]=='KW': -# temp_con_val_list[i]=10**-(1.5*10**-4*Temp_k**2-1.23*10**-1*Temp_k+37.3) - -# #Take the individual values and put them in an array -# temp_con_vals=np.array(temp_con_val_list) - -# #Set the constants in the model -# SetConstants(temp_cons,temp_con_vals) - -# def MonochloramineGetTempCon(Temp,unit,con): -# #This function changes the temperature-dependant model constants in the -# #Monochloramine Decay model (found in Wahman 2018, developed by others) - -# #Input a vector of temperatures and get a vector of the desired constant - -# if unit=='F': -# #Convert to Kelvin -# Temp_k=(Temp-32)*(5/9)+273.15 -# if unit=='C': -# #Convert to Kelvin -# Temp_k=Temp+273.15 -# if unit=='K': -# #It already is in Kelvin but change the variable name -# Temp_k=Temp - -# #Set constants based on the temperature - -# #Formule for each temperature-dependant constant are found in Wahman 2018 -# if con=='k1': -# out=6.6*10**8*np.exp(-1510/Temp_k) -# if con=='k2': -# out=1.38*10**8*np.exp(-8800/Temp_k) -# if con=='k3': -# out=3.0*10**5*np.exp(-2010/Temp_k) -# if con=='AC1': -# out=1.05*10**7*np.exp(-2169/Temp_k) -# if con=='AC2': -# out=8.19*10**6*np.exp(-4026/Temp_k) -# if con=='AC3': -# out=4.2*10**31*np.exp(-22144/Temp_k) -# if con=='KNH4': -# out=10**-(1.03*10**-4*Temp_k**2-9.21*10**-2*Temp_k+27.6) -# if con=='KHOCL': -# out=10**-(1.18*10**-4*Temp_k**2-7.86*10**-2*Temp_k+20.5) -# if con=='KH2CO3': -# out=10**-(1.48*10**-4*Temp_k**2-9.39*10**-2*Temp_k+21.2) -# if con=='KHCO3': -# out=10**-(1.19*10**-4*Temp_k**2-7.99*10**-2*Temp_k+23.6) -# if con=='KW': -# out=10**-(1.5*10**-4*Temp_k**2-1.23*10**-1*Temp_k+37.3) - -# return out - -# def GenerateNormal(problem,n_sims): -# #Takes a problem (defined by the SALib package) and generates parameters for -# #model runs based on normal distributions of each parameter where the -# #mean is the mean/median of the upper/lower bounds specified and the standard -# #deviation is set so that 2 standard deviations from the mean is the upper/lower bound -# #of the value for the specified parameter - - -# #Create an empty array of the size needed -# norm_input=np.zeros((n_sims,problem['num_vars'])) -# rng=np.random.default_rng() - -# for i in range(problem['num_vars']): - -# #Mean is the middle of the upper and lower bounds specified by the problem -# mean=problem['bounds'][i].mean() -# #The standard deviation is set so that 2 standard deviations away from the -# #mean is the upper and lower bounds of the range specified by the problem -# sigma=(problem['bounds'][i].mean()-problem['bounds'][i][0])/2 -# norm_input[:,i]=rng.normal(mean,sigma,n_sims) - -# return norm_input - -# def ScaleMatrixAll(X): -# #Scales a matrix using the min/max over all of the columns instead of by each column individually -# return (X - X.min()) / (X.max() - X.min()) - -# def KMeansBestNum(scaled_2d,clust_num_test=10): -# #Find best number of kmeans clusters -# sil=[None]*(clust_num_test-1) -# random_state=170 -# for i in range(1,clust_num_test): -# n=i+1 -# #do kmeans clustering -# y_pred = KMeans(n_clusters=n, random_state=random_state).fit_predict(scaled_2d) -# #Calculate the silhouette scores -# sil[i-1]=silhouette_score(scaled_2d,y_pred) -# #Find the index where the sil score is the highest -# z=np.where(sil==np.max(sil))[0] -# num_clust_best=z[0]+2 -# #Do the clustering one more time with that number of clusters -# y_pred = KMeans(n_clusters=num_clust_best, random_state=random_state).fit_predict(scaled_2d) -# return y_pred - -# def Network2DPlot(network,color_var,size_var,title,nodes,min_scale=30,max_scale=80,show_inds='all'): - -# #Scale Information -# mult=max_scale-min_scale -# #doing the plotting -# if show_inds=='all': -# show_inds=list(np.arange(0,len(nodes))) -# node_sizes=(ScaleMatrixAll(size_var[show_inds])*mult)+min_scale -# node_sizes=node_sizes.astype(float) -# wntr.graphics.plot_network(network, pd.Series(color_var,index=nodes)[show_inds], node_size=node_sizes,title=title) - - -# def GenerateCorrDemands(group,n,n_samples,mean_group,corr_m): - -# #Assuming the same standard deviation for all nodes -# std_all=np.ones((n_samples,1))*.1 - -# #The correlation among nodes becomes: -# corr_node=np.ones((n_samples,n_samples)) - -# #Create correlation matrix for each node -# for i in range(n_samples): -# for j in range(n_samples): -# if i!=j: -# corr_node[i,j]=corr_m[group[i],group[j]] - -# #Create array for the means to add to the results -# group_arr=np.array(group) -# mean_all=np.ones((n_samples,1)) -# for i in range(np.max(np.unique(group))+1): -# mean_all[np.where(group_arr==i)[0]]=mean_group[i] - - -# signal=[] -# for i in range(len(std_all)): -# signal.append(np.random.default_rng().normal(0,1,n)) - -# # signal=np.random.default_rng().normal(0,1,(n,2)) -# # signal01=np.random.default_rng().normal(0,1,n) -# # signal02=np.random.default_rng().normal(0,1,n) - - -# std_m = np.identity(len(std_all))*std_all - -# # calc desired covariance (vc matrix) -# cov_m = np.dot(std_m, np.dot(corr_node, std_m)) -# cky = cholesky(cov_m, lower=True) - -# corr_data = np.dot(cky,signal) -# corr_data=corr_data+mean_all - -# #Transpose output so each row is each simulation and each column is a node -# corr_data=corr_data.T -# return corr_data - -# def MorrisWallEvaluate(model_pickle,species): - -# results_model=model_pickle['results'] -# nodes=model_pickle['nodes'] -# links=model_pickle['links'] -# problem=model_pickle['problem'] -# param_values_model=model_pickle['param_values'] -# inp_file=model_pickle['inp_file'] - - - -# #Extract the number of timesteps for which the model was computed -# timesteps=len(results_model[0]['node'][nodes[0]].index) -# timesteps_index=results_model[0]['node'][nodes[0]].index - -# #Create a dictionary to store the mu_star and sigma results for the model -# morris_results={} -# morris_results['mu_star']={} -# morris_results['sigma']={} - -# morris_results['mu_star']['node']={} -# morris_results['mu_star']['link']={} - -# morris_results['sigma']['node']={} -# morris_results['sigma']['link']={} - - - -# age_results={} -# age_mean={} -# age_mean['node']=pd.DataFrame() -# age_mean['link']=pd.DataFrame() - -# for l in range(len(nodes)): -# print('Evaluating Node ' + str(l+1) + ' of ' +str(len(nodes))) -# #Compute the morris values for each parameter for each timestep of the model -# #Create an array to store the mu_star values at each timestep -# mu_star_timestep=np.zeros((timesteps,problem['num_vars'])) -# sigma_timestep=np.zeros((timesteps,problem['num_vars'])) - -# #Extract the model output results for that specific timestep -# con_out=np.zeros((len(results_model),1)) -# for j in range(timesteps): -# for i in range(len(results_model)): -# con_out[i]=results_model[i]['node'][nodes[l]].loc[timesteps_index[j],species] - -# #Compute morris results -# a=morris_a.analyze(problem,param_values_model,con_out) - -# mu_star_timestep[j,:]=a['mu_star'] -# sigma_timestep[j,:]=a['sigma'] - -# #Convert mu_star_timestep into a dataframe -# mu_star_df=pd.DataFrame(mu_star_timestep,index=timesteps_index,columns=problem['names']) -# sigma_df=pd.DataFrame(sigma_timestep,index=timesteps_index,columns=problem['names']) - -# morris_results['mu_star']['node'][nodes[l]]=mu_star_df -# morris_results['sigma']['node'][nodes[l]]=sigma_df - -# #Loop through all of the simulation results and get the average -# #water age for each timestep and each node - -# #Create a dataframe to put the results into -# age_results[nodes[l]]=pd.DataFrame() -# for i in range(len(results_model)): -# age_results[nodes[l]]['S'+str(i+1)]=results_model[i]['node'][nodes[l]]['AGE'] - -# age_mean['node'][nodes[l]]=age_results[nodes[l]].mean(axis=1) - -# for l in range(len(links)): -# print('Evaluating Link ' + str(l+1) + ' of ' + str(len(links))) -# #Compute the morris values for each parameter for each timestep of the model -# #Create an array to store the mu_star values at each timestep -# mu_star_timestep=np.zeros((timesteps,problem['num_vars'])) -# sigma_timestep=np.zeros((timesteps,problem['num_vars'])) - -# #Extract the model output results for that specific timestep -# con_out=np.zeros((len(results_model),1)) -# for j in range(timesteps): -# for i in range(len(results_model)): -# con_out[i]=results_model[i]['link'][links[l]].loc[timesteps_index[j],species] - -# #Compute morris results -# a=morris_a.analyze(problem,param_values_model,con_out) - -# mu_star_timestep[j,:]=a['mu_star'] -# sigma_timestep[j,:]=a['sigma'] - -# #Convert mu_star_timestep into a dataframe -# mu_star_df=pd.DataFrame(mu_star_timestep,index=timesteps_index,columns=problem['names']) -# sigma_df=pd.DataFrame(sigma_timestep,index=timesteps_index,columns=problem['names']) - -# morris_results['mu_star']['link'][links[l]]=mu_star_df -# morris_results['sigma']['link'][links[l]]=sigma_df - -# #Loop through all of the simulation results and get the average -# #water age for each timestep and each node - -# #Create a dataframe to put the results into -# age_results[links[l]]=pd.DataFrame() -# for i in range(len(results_model)): -# age_results[links[l]]['S'+str(i+1)]=results_model[i]['link'][links[l]]['AGE'] - -# age_mean['link'][links[l]]=age_results[links[l]].mean(axis=1) - -# return morris_results,age_mean - - - \ No newline at end of file diff --git a/wntr/quality/multispecies.py b/wntr/quality/multispecies.py deleted file mode 100644 index d96897b08..000000000 --- a/wntr/quality/multispecies.py +++ /dev/null @@ -1,1452 +0,0 @@ -# -*- coding: utf-8 -*- - -"""Water quality model implementations. -""" - - -from abc import abstractproperty -import logging - -from typing import ( - Any, - Callable, - Dict, - List, - Tuple, - Union, -) -import warnings - - -from wntr.epanet.util import ENcomment -from wntr.network.elements import Source -from wntr.network.model import PatternRegistry, SourceRegistry, WaterNetworkModel -from wntr.utils.disjoint_mapping import DisjointMapping, KeyExistsError - -from .base import ( - WaterQualityReaction, - WaterQualityReactionSystem, - WaterQualityVariable, - EXPR_TRANSFORMS, - HYDRAULIC_VARIABLES, - EXPR_FUNCTIONS, - DynamicsType, - ReactionType, - QualityVarType, - SpeciesType, - AnnotatedFloat, -) -from .options import MultispeciesOptions - -has_sympy = False -try: - from sympy import Float, Symbol, init_printing, symbols - from sympy.parsing import parse_expr - from sympy.parsing.sympy_parser import convert_xor, standard_transformations - - has_sympy = True -except ImportError: - sympy = None - logging.critical("This python installation does not have SymPy installed. " "Certain functionality will be disabled.") - standard_transformations = (None,) - convert_xor = None - has_sympy = False - - -logger = logging.getLogger(__name__) - -__all__ = [ - "Species", - "Constant", - "Parameter", - "Term", - "ReservedName", - "HydraulicVariable", - "MathFunction", - "Reaction", - "MultispeciesReactionSystem", - "InitialQuality", - "ParameterValues", - "NetworkSpecificData", - "MultispeciesQualityModel", -] - - -class Species(WaterQualityVariable): - """A biological or chemical species that impacts water quality. - - Attributes - ---------- - name : str - The name of the species - species_type : SpeciesType | str - The type of species, either "bulk" or "wall" - units : str - The units of mass used in expressions of concentration - diffusivity : float - The bulk diffusivity in water for bulk species - """ - - def __init__( - self, - name: str, - species_type: Union[SpeciesType, str], - units: str, - atol: float = None, - rtol: float = None, - *, - note=None, - diffusivity: float = None, - _vars=None, - _vals=None, - ) -> None: - """A biological or chemical species. - - Parameters - ---------- - name : str - The species name - species_type : SpeciesType | str - The species type - units : str - The units of mass for this species, see :attr:`units` property. - atol : float, optional - The absolute tolerance when solving this species' equations, by default None [1]_ - rtol : float, optional - The relative tolerance when solving this species' equations, by default None [1]_ - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure) - diffusivity : float, optional - Diffusivity of the species in water, by default None - pipe_reaction : dict | MultispeciesReaction, optional - Reaction dynamics of the species in pipes, by default None - tank_reaction : dict | MultispeciesReaction, optional - Reaction dynamics of the species in tanks, by default None - _vars : VariableRegistry, optional - the variables registry object of the model this variable was added to, by default None - _vals : _type_, optional - _description_, by default None - - Raises - ------ - KeyExistsError - if the name has already been used - TypeError - if mandatory arguments are passed as None; if a tank reaction is provided for a - wall species; if an invalid type is passed for a pipe or tank reaction - - - .. [1] - The `atol` and `rtol` arguments must both be None, or both be a float greater than 0. - """ - super().__init__(name, note=note) - if _vars is not None and name in _vars: - raise KeyExistsError("This variable name is already taken") - species_type = SpeciesType.get(species_type) - if species_type is None: - raise TypeError("species_type cannot be None") - self._species_type = species_type - self._tolerances = None - self.set_tolerances(atol, rtol) - self.units: str = units - """The units of mass for this species. - For bulk species, concentration is this unit divided by liters, for wall species, concentration is this unit - divided by the model's area-unit (see options). - """ - self.diffusivity: float = diffusivity - """The diffusivity of this species in water, if being used, by default None""" - if _vars is not None and isinstance(_vars, MultispeciesReactionSystem): - self._vars = _vars - else: - self._vars = None - if _vals is not None and isinstance(_vals, InitialQuality): - self._vals = _vals - else: - self._vals = None - - def set_tolerances(self, atol: float, rtol: float): - """Set the absolute and relative tolerance for the solvers. - - The user must set both values, or neither value (None). Values must be - positive. - - Arguments - --------- - atol : float - The absolute tolerance to use - rtol : float - The relative tolerance to use - - Raises - ------ - TypeError - if only one of `atol` or `rtol` is a float - ValueError - if either value is less-than-or-equal-to zero - """ - if (self.atol is None) ^ (self.rtol is None): - raise TypeError("atol and rtol must both be float or both be None") - if self.atol is None: - self._tolerances = None - elif atol <= 0 or rtol <= 0: - raise ValueError("atol and rtol must both be positive, got atol={}, rtol={}".format(atol, rtol)) - else: - self._tolerances = (atol, rtol) - - def get_tolerances(self) -> Union[Tuple[float, float], None]: - """Get the custom solver tolerances for this species. - - Returns - ------- - Union[Tuple[float, float], None] - absolute and relative tolerances, respectively, if they are set - """ - return self._tolerances - - def clear_tolerances(self): - """Set both tolerances to None, reverting to the global options value.""" - self._tolerances = None - - @property - def atol(self) -> float: - """The absolute tolerance. Must be set using :meth:`set_tolerances`""" - if self._tolerances is not None: - return self._tolerances[0] - return None - - @property - def rtol(self) -> float: - """The relative tolerance. Must be set using :meth:`set_tolerances`""" - if self._tolerances is not None: - return self._tolerances[1] - return None - - @property - def var_type(self) -> QualityVarType: - """This is a species""" - return QualityVarType.SPECIES - - @property - def species_type(self) -> SpeciesType: - """The type of species""" - return self._species_type - - @property - def initial_quality(self) -> "NetworkSpecificData": - """If a specific network has been linked, then the initial quality values for the network""" - if self._vals is not None: - return self._vals - else: - raise TypeError("This species is not linked to a NetworkSpecificValues obejct, please `relink` your model") - - @property - def pipe_reaction(self): - if self._vars is not None: - return self._vars.pipe_reactions[self.name] - else: - raise AttributeError('This species is not connected to a ReactionSystem') - - @property - def tank_reaction(self): - if self._vars is not None: - return self._vars.tank_reactions[self.name] - else: - raise AttributeError('This species is not connected to a ReactionSystem') - - def to_dict(self) -> Dict[str, Any]: - """Create a dictionary representation of the object - - The species dictionary has the following format, as described using a json schema. - - .. code:: json - - { - "title": "Species", - "type": "object", - "properties": { - "name": { - "type": "string" - }, - "species_type": { - "enum": ["bulk", "wall"] - }, - "units": { - "type": "string" - }, - "atol": { - "type": "number", - "exclusiveMinimum": 0 - }, - "rtol": { - "type": "number", - "exclusiveMinimum": 0 - }, - "note": { - "type": "string" - }, - "diffusivity": { - "type": "number", - "minimum": 0 - } - }, - "required": ["name", "species_type", "units", "pipe_reaction", "tank_reaction"], - "dependentRequired": {"atol": ["rtol"], "rtol":["atol"]} - } - - """ - ret = dict( - name=self.name, species_type=self.species_type.name.lower(), units=self.units, atol=self.atol, rtol=self.rtol - ) - - if self.diffusivity: - ret["diffusivity"] = self.diffusivity - - if isinstance(self.note, ENcomment): - ret["note"] = self.note.to_dict() - elif isinstance(self.note, (str, dict, list)): - ret["note"] = self.note - - return ret - - -class Constant(WaterQualityVariable): - """A constant coefficient for use in reaction expressions.""" - - def __init__(self, name: str, value: float, *, units: str = None, note=None, _vars=None) -> None: - """A variable representing a constant value. - - Arguments - --------- - name : str - The name of the variable. - value : float - The constant value. - - Keyword Arguments - ----------------- - units : str, optional - Units for the variable, by default None - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Other Parameters - ---------------- - _vars : VariablesRegistry, optional - the variables registry object of the model this variable was added to, by default None - """ - super().__init__(name, note=note) - if _vars is not None and name in _vars: - raise KeyExistsError("This variable name is already taken") - self.value = float(value) - """The value of the constant""" - self.units = units - """The units of the constant""" - if _vars is not None and isinstance(_vars, MultispeciesReactionSystem): - self._vars = _vars - elif _vars is None: - self._vars = None - else: - raise TypeError("Invalid type for _vars") - - def __call__(self, *, t=None) -> Any: - return self.value - - @property - def var_type(self) -> QualityVarType: - """This is a constant coefficient.""" - return QualityVarType.CONSTANT - - def to_dict(self) -> Dict[str, Any]: - ret = dict(name=self.name, value=self.value) - if self.units: - ret["units"] = self.units - if isinstance(self.note, ENcomment): - ret["note"] = self.note.to_dict() - elif isinstance(self.note, (str, dict, list)): - ret["note"] = self.note - return ret - - -class Parameter(WaterQualityVariable): - """A coefficient that is parameterized by pipe/tank.""" - - def __init__(self, name: str, global_value: float, *, units: str = None, note=None, _vars=None, _vals=None) -> None: - """A parameterized variable for use in expressions. - - Arguments - --------- - name : str - The name of this parameter. - global_value : float - The global value for the parameter if otherwise unspecified. - - Keyword Arguments - ----------------- - units : str, optional - The units for this parameter, by default None - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Other Parameters - ---------------- - _vars : VariablesRegistry, optional - the variables registry object of the model this variable was added to, by default None - _vals : ParameterValues, optional - Values for specific tanks or pipes, by default None. This argument should - be passed by the MultispeciesModel during variable creation. - """ - super().__init__(name, note=note) - if _vars is not None and name in _vars: - raise KeyExistsError("This variable name is already taken") - self.global_value = float(global_value) - self.units = units - if _vars is not None and isinstance(_vars, MultispeciesReactionSystem): - self._vars = _vars - elif _vars is None: - self._vars = None - else: - raise TypeError("Invalid type for _vars") - self._vals = _vals - - def __call__(self, *, t=None, pipe: float = None, tank: float = None) -> Any: - if pipe is not None and tank is not None: - raise TypeError("Both pipe and tank cannot be specified at the same time") - elif self._vals is None and (pipe is not None or tank is not None): - raise ValueError("No link provided to network-specific parameter values") - if pipe: - return self._vals.pipe_values.get(pipe, self.global_value) - elif tank: - return self._vals.tank_values.get(pipe, self.global_value) - return self.global_value - - @property - def var_type(self) -> QualityVarType: - """This is a parameterized coefficient.""" - return QualityVarType.PARAMETER - - def link_values(self, values: "ParameterValues"): - """Link the paraemterized values to a model object. - - Note, this should not be necessary if the user uses the MultispeciesModel - add_parameter function. - - Arguments - --------- - values : ParameterValues - The parameter values object. - """ - self._vals = values - - def to_dict(self) -> Dict[str, Any]: - ret = dict(name=self.name, global_value=self.global_value) - if self.units: - ret["units"] = self.units - if isinstance(self.note, ENcomment): - ret["note"] = self.note.to_dict() - elif isinstance(self.note, (str, dict, list)): - ret["note"] = self.note - return ret - - -class Term(WaterQualityVariable): - def __init__(self, name: str, expression: str, *, note=None, _vars=None) -> None: - """A named expression that can be used as a term in other expressions. - - Arguments - --------- - name : str - The variable name. - expression : str - The mathematical expression to be aliased - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Other Parameters - ---------------- - _vars : VariablesRegistry, optional - the variables registry object of the model this variable was added to, by default None - """ - super().__init__(name, note=note) - if _vars is not None and name in _vars: - raise KeyExistsError("This variable name is already taken") - self.expression = expression - """The expression that is aliased by this term""" - if _vars is not None and isinstance(_vars, MultispeciesReactionSystem): - self._vars = _vars - elif _vars is None: - self._vars = None - else: - raise TypeError("Invalid type for _vars") - - @property - def var_type(self) -> QualityVarType: - """This is a term (named expression).""" - return QualityVarType.TERM - - def to_dict(self) -> Dict[str, Any]: - ret = dict(name=self.name, expression=self.expression) - if isinstance(self.note, ENcomment): - ret["note"] = self.note.to_dict() - elif isinstance(self.note, (str, dict, list)): - ret["note"] = self.note - return ret - - -class ReservedName(WaterQualityVariable): - def __init__(self, name: str, *, note=None) -> None: - """An object representing a reserved name that should not be used by the user. - - Arguments - --------- - name : str - The reserved name. - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Other Parameters - ---------------- - _vars : VariablesRegistry, optional - the variables registry object of the model this variable was added to, by default None - - Raises - ------ - KeyExistsError - _description_ - """ - self.name = name - self.note = note - - @property - def var_type(self) -> QualityVarType: - """Variable name is a reserved word in MSX""" - return QualityVarType.RESERVED - - def to_dict(self) -> Dict[str, Any]: - raise NotImplementedError("You cannot convert a reserved word to a dictionary representation") - - -class HydraulicVariable(ReservedName): - """A variable representing instantaneous hydraulics data.""" - - def __init__(self, name: str, units: str = None, *, note=None) -> None: - """A variable representing instantaneous hydraulics data. - - The user should not need to create any variables using this class, they - are created automatically by the MultispeciesModel object during initialization. - - Arguments - --------- - name : str - The name of the variable (predefined by MSX) - units : str, optional - The units for hydraulic variable, by default None - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - """ - super().__init__(name, note=note) - self.units = units - """The hydraulic variable's units""" - - -class MathFunction(ReservedName): - """A variable that is actually a mathematical function defined by MSX.""" - - def __init__(self, name: str, func: Callable, *, note=None) -> None: - """A variable that is actually a mathematical function defined by MSX. - - Arguments - --------- - name : str - The function name - func : Callable - The callable function - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - """ - super().__init__(name, note=note) - self.func = func - """A callable function or SymPy function""" - - def __call__(self, *args: Any, **kwds: Any) -> Any: - return self.func(*args, **kwds) - - - -class Reaction(WaterQualityReaction): - """A water quality biochemical reaction dynamics definition for a specific species.""" - - def __init__(self, species_name: str, reaction_type: ReactionType, dynamics_type: DynamicsType, expression: str, *, note=None) -> None: - """A water quality biochemical reaction dynamics definition for a specific species. - - Arguments - --------- - species_name : Species | str - The species (object or name) this reaction is applicable to. - dynamics_type : DynamicsType - The type of reaction dynamics being described by the expression: one of RATE, FORMULA, or EQUIL. - expression : str - The mathematical expression for the right-hand-side of the reaction equation. - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this reaction, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - """ - super().__init__(species_name=species_name, note=note) - dynamics_type = DynamicsType.get(dynamics_type) - reaction_type = ReactionType.get(reaction_type) - if reaction_type is None: - raise TypeError("Required argument reaction_type cannot be None") - if dynamics_type is None: - raise TypeError("Required argument dynamics_type cannot be None") - self.__reaction_type = reaction_type - self._dynamics_type = dynamics_type - if not expression: - raise TypeError("expression cannot be None") - self.expression = expression - """The mathematical expression (right-hand-side)""" - - @property - def dynamics_type(self) -> DynamicsType: - """The type of dynamics being described. - See :class:`DynamicsType` for valid values. - """ - return self._dynamics_type - - @property - def reaction_type(self) -> ReactionType: - """The type of reaction""" - return self.__reaction_type - - def to_dict(self) -> dict: - ret = dict(species_name=str(self.species_name), dynamics_type=self.dynamics_type.name.lower(), expression=self.expression) - if isinstance(self.note, ENcomment): - ret["note"] = self.note.to_dict() - elif isinstance(self.note, (str, dict, list)): - ret["note"] = self.note - return ret - - -class MultispeciesReactionSystem(WaterQualityReactionSystem): - """A registry for all the variables registered in the multispecies reactions model. - - This object can be used like an immutable mapping, with the ``__len__``, ``__getitem__``, - ``__iter__``, ``__contains__``, ``__eq__`` and ``__ne__`` functions being defined. - """ - - def __init__(self) -> None: - """Create a new reaction system. - """ - super().__init__() - self._vars.add_disjoint_group("reserved") - self._species = self._vars.add_disjoint_group("species") - self._const = self._vars.add_disjoint_group("constant") - self._param = self._vars.add_disjoint_group("parameter") - self._term = self._vars.add_disjoint_group("term") - self._rxns = dict(pipe=dict(), tank=dict()) - self._pipes = self._rxns['pipe'] - self._tanks = self._rxns['tank'] - - @property - def species(self) -> Dict[str, Species]: - """The dictionary view onto only species""" - return self._species - - @property - def constants(self) -> Dict[str, Constant]: - """The dictionary view onto only constants""" - return self._const - - @property - def parameters(self) -> Dict[str, Parameter]: - """The dictionary view onto only parameters""" - return self._param - - @property - def terms(self) -> Dict[str, Term]: - """The dictionary view onto only named terms""" - return self._term - - @property - def pipe_reactions(self) -> Dict[str, WaterQualityReaction]: - """The dictionary view onto pipe reactions""" - return self._pipes - - @property - def tank_reactions(self) -> Dict[str, WaterQualityReaction]: - """The dictionary view onto tank reactions""" - return self._tanks - - def add_variable(self, obj: WaterQualityVariable) -> None: - """Add a variable object to the registry. - - The appropriate group is determined by querying the object's - var_type attribute. - - Arguments - --------- - obj : WaterQualityVariable - The variable to add. - - Raises - ------ - TypeError - if obj is not a WaterQualityVariable - KeyExistsError - if obj has a name that is already used in the registry - """ - if not isinstance(obj, WaterQualityVariable): - raise TypeError("Expected WaterQualityVariable object") - if obj.name in self: - raise KeyExistsError("Variable name {} already exists in model".format(obj.name)) - obj._vars = self - self._vars.add_item_to_group(obj.var_type.name.lower(), obj.name, obj) - - def add_reaction(self, obj: WaterQualityReaction) -> None: - """Add a reaction to the model - - Parameters - ---------- - obj : WaterQualityReaction - _description_ - - Raises - ------ - TypeError - _description_ - KeyError - _description_ - """ - if not isinstance(obj, WaterQualityReaction): - raise TypeError("Expected WaterQualityReaction object") - if obj.species_name not in self: - raise KeyError("Species {} does not exist in the model".format(obj.species_name)) - self._rxns[obj.reaction_type.name.lower()][obj.species_name] = obj - - def all_variables(self): - """A generator looping through all variables""" - for k, v in self._vars.items(): - yield k, v.var_type.name.lower(), v - - def all_reactions(self): - """A generator looping through all reactions""" - for k2, v in self._rxns.items(): - for k1, v1 in v.items(): - yield k1, k2, v1 - - def to_dict(self): - return dict( - species=[v.to_dict() for v in self._species.values()], - constants=[v.to_dict() for v in self._const.values()], - parameters=[v.to_dict() for v in self._param.values()], - terms=[v.to_dict() for v in self._term.values()], - pipe_reactions=[v.to_dict() for v in self.pipe_reactions.values()], - tank_reactions=[v.to_dict() for v in self.tank_reactions.values()], - ) - - -class InitialQuality: - """A container for initial quality values for a species in a specific network.""" - - def __init__(self, global_value: float = 0.0, node_values: dict = None, link_values: dict = None): - """The initial quality values for a species. - - Arguments - --------- - global_value : float, optional - _description_, by default 0.0 - node_values : dict[str, float], optional - _description_, by default None - link_values : dict[str, float], optional - _description_, by default None - """ - self.global_value = global_value - """The global value for this species, if unspecified""" - self._node_values = node_values if node_values is not None else dict() - self._link_values = link_values if link_values is not None else dict() - - def __repr__(self) -> str: - return self.__class__.__name__ + "(global_value={}, node_values=<{} entries>, link_values=<{} entries>)".format( - self.global_value, len(self._node_values), len(self._link_values) - ) - - @property - def node_values(self) -> Dict[str, float]: - """A mapping of node names to initial quality values for this species""" - return self._node_values - - @property - def link_values(self) -> Dict[str, float]: - """A mapping of link names to initial quality values for this species""" - return self._link_values - - def to_dict(self) -> Dict[str, Dict[str, float]]: - return dict(global_value=self.global_value, node_values=self._node_values.copy(), link_values=self._link_values.copy()) - - -class ParameterValues: - """A container for pipe and tank specific values of a parameter for a specific network.""" - - def __init__(self, *, pipe_values: dict = None, tank_values: dict = None) -> None: - """The non-global values for a parameter. - - Arguments - --------- - pipe_values : dict, optional - _description_, by default None - tank_values : dict, optional - _description_, by default None - """ - self._pipe_values = pipe_values if pipe_values is not None else dict() - self._tank_values = tank_values if tank_values is not None else dict() - - def __repr__(self) -> str: - return self.__class__.__name__ + "(pipe_values=<{} entries>, tank_values=<{} entries>)".format( - len(self._pipe_values), len(self._tank_values) - ) - - @property - def pipe_values(self) -> Dict[str, float]: - """View onto the pipe values dictionary""" - return self._pipe_values - - @property - def tank_values(self) -> Dict[str, float]: - """View onto the tank values dictionary""" - return self._tank_values - - def to_dict(self) -> Dict[str, Dict[str, float]]: - return dict(pipe_values=self._pipe_values.copy(), tank_values=self._tank_values.copy()) - - -class NetworkSpecificData: - """A container for network-specific values associated with a multispecies water quality model.""" - - def __init__(self, patterns: dict = None, sources: dict = None, initial_quality: dict = None, parameter_values: dict = None) -> None: - """A container for network-specific values associated with a multispecies water quality model. - - Data is copied from dictionaries passed in, so once created, the dictionaries passed are not connected - to this object. - - Parameters - ---------- - patterns : Dict[str, List[float]] - patterns to use for sources - sources : Dict[str, dict] - sources defined for the model - initial_quality : Dict[str, dict] - initial values for different species at different nodes, links, and the global value - parameter_values : Dict[str, dict] - parameter values for different pipes and tanks - """ - if sources is None: - sources = dict() - if initial_quality is None: - initial_quality = dict() - if patterns is None: - patterns = dict() - if parameter_values is None: - parameter_values = dict() - self._source_dict = dict() - self._pattern_dict = dict() - self._initial_quality_dict: Dict[str, InitialQuality] = dict() - self._parameter_value_dict: Dict[str, ParameterValues] = dict() - - self._source_dict = sources.copy() - self._pattern_dict = patterns.copy() - for k, v in initial_quality.items(): - self._initial_quality_dict[k] = InitialQuality(**v) - for k, v in parameter_values.items(): - self._parameter_value_dict[k] = ParameterValues(**v) - - @property - def sources(self): - """A dictionary of sources, keyed by species name""" - return self._source_dict - - @property - def initial_quality(self) -> Dict[str, InitialQuality]: - """A dictionary of initial quality values, keyed by species name""" - return self._initial_quality_dict - - @property - def patterns(self): - """A dictionary of patterns, specific for the water quality model, keyed by pattern name. - - .. note:: the WaterNetworkModel cannot see these patterns, so names can be reused, so be - careful. Likewise, this model cannot see the WaterNetworkModel patterns, so this could be - a source of some confusion. - """ - return self._pattern_dict - - @property - def parameter_values(self): - """A dictionary of parameter values, keyed by parameter name""" - return self._parameter_value_dict - - def add_pattern(self, name: str, multipliers: List[float]): - """Add a water-quality-model-specific pattern. - - Arguments - --------- - name : str - The pattern name - multipliers : List[float] - The pattern multipliers - """ - self._pattern_dict[name] = multipliers - - def init_new_species(self, species: Species): - """(Re)set the initial quality values for a species to a new container - - Arguments - --------- - species : Species - The species to (re) initialized. - - Returns - ------- - InitialQuality - the new initial quality values container - """ - self._initial_quality_dict[str(species)] = InitialQuality() - if isinstance(species, Species): - species._vals = self._initial_quality_dict[str(species)] - return self._initial_quality_dict[str(species)] - - def remove_species(self, species: Union[Species, str]): - """Remove a species from the network specific model. - - Arguments - --------- - species : Union[Species, str] - _description_ - """ - if isinstance(species, Species): - species._vals = None - try: - self._initial_quality_dict.__delitem__(str(species)) - except KeyError: - pass - - def init_new_parameter(self, param: Parameter): - """(Re)initialize parameter values for a parameter. - - Arguments - --------- - param : Parameter - _description_ - - Returns - ------- - _type_ - _description_ - """ - self._parameter_value_dict[str(param)] = ParameterValues() - if isinstance(param, Parameter): - param._vals = self._parameter_value_dict[str(param)] - return self._parameter_value_dict[str(param)] - - def remove_parameter(self, param: Union[Parameter, str]): - """Remove values associated with a specific parameter. - - Arguments - --------- - param : Union[Parameter, str] - _description_ - """ - if isinstance(param, Parameter): - param._vals = None - try: - self._parameter_value_dict.__delitem__(str(param)) - except KeyError: - pass - - def to_dict(self): - ret = dict(initial_quality=dict(), parameter_values=dict(), sources=dict(), patterns=dict()) - for k, v in self._initial_quality_dict.items(): - ret["initial_quality"][k] = v.to_dict() - for k, v in self._parameter_value_dict.items(): - ret["parameter_values"][k] = v.to_dict() - ret["sources"] = self._source_dict.copy() - ret["patterns"] = self._pattern_dict.copy() - return ret - - -class MultispeciesQualityModel: - """A multispecies water quality model for use with WNTR EPANET-MSX simulator.""" - - def __init__(self, msx_file_name=None) -> None: - """A full, multi-species water quality model. - - Arguments - --------- - msx_file_name : str, optional - an MSX file to read in, by default None - """ - self.name: str = None - """A name for the model, or the MSX model filename (no spaces allowed)""" - self.title: str = None - """The title line from the MSX file, must be a single line""" - self.desc: str = None - """A longer description, note that multi-line descriptions may not be - represented well in dictionary form.""" - self._orig_file: str = None - """The original filename""" - self._references: List[Union[str, Dict[str, str]]] = list() - self._options = MultispeciesOptions() - self._reaction_system = MultispeciesReactionSystem() - self._network_data = NetworkSpecificData() - self._wn = None - - for v in HYDRAULIC_VARIABLES: - self._reaction_system.add_variable(HydraulicVariable(**v)) - for k, v in EXPR_FUNCTIONS.items(): - self._reaction_system.add_variable(MathFunction(name=k.lower(), func=v)) - self._reaction_system.add_variable(MathFunction(name=k.capitalize(), func=v)) - self._reaction_system.add_variable(MathFunction(name=k.upper(), func=v)) - - if msx_file_name is not None: - from wntr.epanet.msx.io import MsxFile - MsxFile.read(msx_file_name, self) - - def __repr__(self) -> str: - ret = '{}('.format(self.__class__.__name__) - if self.name: - ret = ret + 'name={}'.format(repr(self.name)) - elif self.title: - ret = ret + 'title={}'.format(repr(self.title)) - elif self._orig_file: - ret = ret + 'msx_file_name={}'.format(repr(self._orig_file)) - ret = ret + ')' - return ret - - @property - def references(self) -> List[Union[str, Dict[str, str]]]: - """A list of strings or mappings that provide references for this model. - This property should be modified using append/insert/remove. Members of - the list should be json seriealizable (i.e., strings or dicts of strings). - """ - return self._references - - @property - def reaction_system(self) -> MultispeciesReactionSystem: - """The reaction variables defined for this model.""" - return self._reaction_system - - @property - def rxn_sys(self) -> MultispeciesReactionSystem: - """Alias for the reaction_system property for ease of programming""" - return self._reaction_system - - @property - def network_data(self) -> NetworkSpecificData: - """The network-specific values added to this model.""" - return self._network_data - - @property - def net_data(self) -> NetworkSpecificData: - """Alias for the reaction_system property for ease of programming""" - return self._network_data - - @property - def options(self) -> MultispeciesOptions: - """The MSX model options""" - return self._options - - @property - def species_name_list(self) -> List[str]: - """all defined species names""" - return list(self.reaction_system.species.keys()) - - @property - def constant_name_list(self) -> List[str]: - """all defined coefficient names""" - return list(self.reaction_system.constants.keys()) - - @property - def parameter_name_list(self) -> List[str]: - """all defined coefficient names""" - return list(self.reaction_system.parameters.keys()) - - @property - def term_name_list(self) -> List[str]: - """all defined function (MSX 'terms') names""" - return list(self.reaction_system.terms.keys()) - - @options.setter - def options(self, value): - if isinstance(value, dict): - self._options = MultispeciesOptions.factory(value) - elif not isinstance(value, MultispeciesOptions): - raise TypeError("Expected a MultispeciesOptions object, got {}".format(type(value))) - else: - self._options = value - - def add_species( - self, - name: str, - species_type: SpeciesType, - units: str, - atol: float = None, - rtol: float = None, - *, - note: Any = None, - diffusivity: float = None, - ) -> Species: - """Add a species to the model - - Arguments - --------- - name : str - _description_ - species_type : SpeciesType - _description_ - units : str - _description_ - atol : float, optional - _description_, by default None - rtol : float, optional - _description_, by default None - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - diffusivity : float, optional - Diffusivity in water for this species. - - Raises - ------ - KeyError - _description_ - - Returns - ------- - Species - _description_ - """ - if name in self._reaction_system: - raise KeyError( - "Variable named {} already exists in model as type {}".format(name, self._reaction_system._vars.get_groupname(name)) - ) - species_type = SpeciesType.get(species_type, allow_none=False) - iq = self.network_data.init_new_species(name) - new = Species( - name=name, - species_type=species_type, - units=units, - atol=atol, - rtol=rtol, - note=note, - _vars=self._reaction_system, - _vals=iq, - diffusivity=diffusivity, - ) - self.reaction_system.add_variable(new) - return new - - def remove_species(self, species): - """Remove a species from the model. - - Arguments - --------- - species : _type_ - _description_ - """ - name = str(species) - self.network_data.remove_species(name) - # FIXME: validate additional items - self.reaction_system.__delitem__(name) - - def add_constant(self, name: str, value: float, *, units: str = None, note: Any = None) -> Constant: - """Add a constant coefficient to the model. - - Arguments - --------- - name : str - _description_ - value : float - _description_ - - Keyword Arguments - ----------------- - units : str, optional - _description_, by default None - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Raises - ------ - KeyError - _description_ - - Returns - ------- - Constant - _description_ - """ - if name in self._reaction_system: - raise KeyError( - "Variable named {} already exists in model as type {}".format(name, self._reaction_system._vars.get_groupname(name)) - ) - new = Constant(name=name, value=value, units=units, note=note, _vars=self._reaction_system) - self.reaction_system.add_variable(new) - return new - - def remove_constant(self, const): - """Remove a constant coefficient from the model. - - Arguments - --------- - const : _type_ - _description_ - """ - name = str(const) - # FIXME: validate deletion - self.reaction_system.__delitem__(name) - - def add_parameter(self, name: str, global_value: float, *, units: str = None, note: Any = None) -> Parameter: - """Add a parameterized coefficient to the model. - - Arguments - --------- - name : str - _description_ - global_value : float - _description_ - - Keyword Arguments - ----------------- - units : str, optional - _description_, by default None - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Raises - ------ - KeyError - _description_ - - Returns - ------- - Parameter - _description_ - """ - if name in self._reaction_system: - raise KeyError( - "Variable named {} already exists in model as type {}".format(name, self._reaction_system._vars.get_groupname(name)) - ) - pv = self.network_data.init_new_parameter(name) - new = Parameter(name=name, global_value=global_value, units=units, note=note, _vars=self._reaction_system, _vals=pv) - self.reaction_system.add_variable(new) - return new - - def remove_parameter(self, param): - """Remove a parameterized coefficient from the model. - - Arguments - --------- - param : _type_ - _description_ - """ - name = str(param) - self.network_data.remove_parameter(name) - # FIXME: validate additional items - self.reaction_system.__delitem__(name) - - def add_term(self, name: str, expression: str, *, note: Any = None) -> Term: - """Add a named expression (term) to the model. - - Arguments - --------- - name : str - _description_ - expression : str - _description_ - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Raises - ------ - KeyError - _description_ - - Returns - ------- - Term - _description_ - """ - if name in self._reaction_system: - raise KeyError( - "Variable named {} already exists in model as type {}".format(name, self._reaction_system._vars.get_groupname(name)) - ) - new = Term(name=name, expression=expression, note=note, _vars=self._reaction_system) - self.reaction_system.add_variable(new) - return new - - def remove_term(self, term): - """Remove a named expression (term) from the model. - - Arguments - --------- - term : _type_ - _description_ - """ - name = str(term) - # FIXME: validate deletion - self.reaction_system.__delitem__(name) - - def add_reaction( - self, species_name: str, reaction_type: ReactionType, dynamics_type: DynamicsType, expression: str, *, note: Any = None - ) -> WaterQualityReaction: - """Add a reaction to a species in the model. - - Note that all species need to have both a pipe and tank reaction defined - unless all species are bulk species and - the tank reactions are identical to the pipe reactions. However, it is not - recommended that users take this approach. - - Once added, access the reactions from the species' object. - - Arguments - --------- - species_name : str - _description_ - location_type : LocationType - _description_ - dynamics_type : DynamicsType - _description_ - expression : str - _description_ - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this reaction, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - - Raises - ------ - TypeError - _description_ - - Returns - ------- - MultispeciesReaction - _description_ - """ - species_name = str(species_name) - species = self.reaction_system.species[species_name] - if species.var_type is not QualityVarType.SPECIES: - raise TypeError("Variable {} is not a Species, is a {}".format(species.name, species.var_type)) - reaction_type = ReactionType.get(reaction_type, allow_none=False) - dynamics_type = DynamicsType.get(dynamics_type, allow_none=False) - new = Reaction(reaction_type=reaction_type, dynamics_type=dynamics_type, species_name=species_name, expression=expression, note=note) - self.reaction_system.add_reaction(new) - return new - - def remove_reaction(self, species_name: str, reaction_type: ReactionType) -> None: - """Remove a reaction at a specified location from a species. - - Parameters - ---------- - species : str - the species name to remove the reaction from - location : LocationType - the location to remove the reaction from - """ - reaction_type = ReactionType.get(reaction_type, allow_none=False) - species_name = str(species_name) - del self.reaction_system.all_reactions[reaction_type.name.lower()][species_name] - - def to_dict(self): - from wntr import __version__ - - return { - 'wntr-version': "{}".format(__version__), - 'name': self.name, - 'title': self.title, - 'desc': self.desc if self.desc is None or '\n' not in self.desc else self.desc.splitlines(), - 'references': self.references.copy(), - 'reaction_system': self.reaction_system.to_dict(), - 'network_data': self.network_data.to_dict(), - 'options': self.options.to_dict(), - } - - @classmethod - def from_dict(cls, data): - from wntr import __version__ - - ver = data.get('wntr-version', None) - if ver > __version__: - logger.warn('Importing from a file created by a newer version of wntr, compatibility not guaranteed') - warnings.warn('Importing from a file created by a newer version of wntr, compatibility not guaranteed') - new = cls() - new.name = data.get('name', None) - new.title = data.get('title', None) - new.desc = data.get('desc', None) - if isinstance(new.desc, (list, tuple)): - desc = '\n'.join(new.desc) - new.desc = desc - new.references.extend(data.get('references', list())) - - rxn_sys = data.get('reaction_system', dict()) - for var in rxn_sys.get('species', list()): - new.add_species(**var) - for var in rxn_sys.get('constants', list()): - new.add_constant(**var) - for var in rxn_sys.get('parameters', list()): - new.add_parameter(**var) - for var in rxn_sys.get('terms', list()): - new.add_term(**var) - for rxn in rxn_sys.get('pipe_reactions', list()): - rxn['reaction_type'] = 'pipe' - new.add_reaction(**rxn) - for rxn in rxn_sys.get('tank_reactions', list()): - rxn['reaction_type'] = 'tank' - new.add_reaction(**rxn) - - new._network_data = NetworkSpecificData(**data.get('network_data', dict())) - for species in new.rxn_sys.species: - if species not in new.net_data.initial_quality: - new.net_data.init_new_species(species) - for param in new.rxn_sys.parameters: - if param not in new.net_data.parameter_values: - new.net_data.init_new_parameter(param) - - opts = data.get('options', None) - if opts: - new.options = opts - - return new diff --git a/wntr/sim/epanet.py b/wntr/sim/epanet.py index c74905b45..329cd6134 100644 --- a/wntr/sim/epanet.py +++ b/wntr/sim/epanet.py @@ -130,6 +130,7 @@ def run_sim(self, file_prefix='temp', save_hyd=False, use_hyd=False, hydfile=Non results = self.reader.read(outfile, convergence_error, self._wn.options.hydraulic.headloss=='D-W') if self._wn._msx is not None: + # Attributed to Matthew's package msxfile = file_prefix + '.msx' rptfile = file_prefix + '.msx-rpt' binfile = file_prefix + '.msx-bin' diff --git a/wntr/tests/test_epanet_msx_io.py b/wntr/tests/test_epanet_msx_io.py index 0bcf73a2e..09cb38625 100644 --- a/wntr/tests/test_epanet_msx_io.py +++ b/wntr/tests/test_epanet_msx_io.py @@ -5,7 +5,7 @@ import numpy as np import pandas as pd import wntr -import wntr.quality +import wntr.msx import wntr.epanet.msx import sympy @@ -26,10 +26,10 @@ def tearDownClass(self): def test_msx_io(self): wn_model = wntr.network.WaterNetworkModel(inp_file_name=inp_filename) - msx_model = wntr.quality.MultispeciesQualityModel(msx_file_name=msx_filename) + msx_model = wntr.msx.MsxModel(msx_file_name=msx_filename) wntr.epanet.InpFile().write("test.inp", wn_model) wntr.epanet.msx.MsxFile().write("test.msx", msx_model) - msx_model2 = wntr.quality.MultispeciesQualityModel(msx_file_name="test.msx") + msx_model2 = wntr.msx.MsxModel(msx_file_name="test.msx") true_vars = ["AS3", "AS5", "AS5s", "AStot", "Av", "D", "Ff", "K1", "K2", "Ka", "Kb", "Kc", "Ks", "Len", "NH2CL", "Q", "Re", "Smax", "U", "Us"] in_vars = msx_model.variable_name_list in_vars.sort() diff --git a/wntr/tests/test_epanet_msx_tooklit.py b/wntr/tests/test_epanet_msx_tooklit.py index 3191d3f0e..71cef63fe 100644 --- a/wntr/tests/test_epanet_msx_tooklit.py +++ b/wntr/tests/test_epanet_msx_tooklit.py @@ -5,7 +5,7 @@ import numpy as np import pandas as pd import wntr -import wntr.quality +import wntr.msx import wntr.epanet.msx import wntr.epanet.msx.toolkit import sympy @@ -26,7 +26,7 @@ def tearDownClass(self): def test_msx_io(self): wn_model = wntr.network.WaterNetworkModel(inp_file_name=inp_filename) - msx_model = wntr.quality.MultispeciesQualityModel(msx_file_name=msx_filename) + msx_model = wntr.msx.MsxModel(msx_file_name=msx_filename) wntr.epanet.msx.toolkit.MSXepanet(inp_filename, msxfile=msx_filename) diff --git a/wntr/tests/test_quality_variables.py b/wntr/tests/test_quality_variables.py index 7deb011cc..142e33049 100644 --- a/wntr/tests/test_quality_variables.py +++ b/wntr/tests/test_quality_variables.py @@ -5,7 +5,7 @@ import numpy as np import pandas as pd import wntr -import wntr.quality +import wntr.msx import sympy testdir = dirname(abspath(str(__file__))) @@ -24,35 +24,35 @@ def tearDownClass(self): pass def test_ReactionVariable_reserved_name_exception(self): - self.assertRaises(ValueError, wntr.quality.Species, 'bulk', "D", "mg") - self.assertRaises(ValueError, wntr.quality.Species, 'wall', "Q", "mg") - self.assertRaises(ValueError, wntr.quality.Constant, "Re", 0.52) - self.assertRaises(ValueError, wntr.quality.Parameter, "Re", 0.52) - self.assertRaises(ValueError, wntr.quality.OtherTerm, "Re", 0.52) + self.assertRaises(ValueError, wntr.msx.Species, 'bulk', "D", "mg") + self.assertRaises(ValueError, wntr.msx.Species, 'wall', "Q", "mg") + self.assertRaises(ValueError, wntr.msx.Constant, "Re", 0.52) + self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 0.52) + self.assertRaises(ValueError, wntr.msx.OtherTerm, "Re", 0.52) def test_RxnVariable_symbols_and_sympy(self): - species1 = wntr.quality.Species('BULK', "Cl", "mg") + species1 = wntr.msx.Species('BULK', "Cl", "mg") symbol1 = sympy.symbols("Cl") self.assertEqual(species1.symbol, symbol1) - const1 = wntr.quality.Constant("Kb", 0.482) + const1 = wntr.msx.Constant("Kb", 0.482) symbol2 = sympy.symbols("Kb") self.assertEqual(const1.symbol, symbol2) - param1 = wntr.quality.Constant("Ka", 0.482) + param1 = wntr.msx.Constant("Ka", 0.482) symbol3 = sympy.symbols("Ka") self.assertEqual(param1.symbol, symbol3) - term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") symbol4 = sympy.symbols("T0") self.assertEqual(term1.symbol, symbol4) def test_RxnVariable_values(self): - const1 = wntr.quality.Constant("Kb", 0.482, note="test") + const1 = wntr.msx.Constant("Kb", 0.482, note="test") self.assertEqual(const1.get_value(), const1.global_value) test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.quality.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) + param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) self.assertEqual(param2.get_value(), param2.global_value) self.assertEqual(param2.get_value(pipe="PIPE"), test_pipe_dict["PIPE"]) self.assertEqual(param2.get_value(pipe="FOO"), param2.global_value) @@ -60,11 +60,11 @@ def test_RxnVariable_values(self): self.assertRaises(TypeError, param2.get_value, pipe="PIPE", tank="TANK") def test_RxnVariable_string_functions(self): - species1 = wntr.quality.Species('BULK', "Cl", "mg") - species2 = wntr.quality.Species('WALL', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.quality.Constant("Kb", 0.482) - param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") - term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + species1 = wntr.msx.Species('BULK', "Cl", "mg") + species2 = wntr.msx.Species('WALL', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.msx.Constant("Kb", 0.482) + param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") + term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(str(species1), "Cl") self.assertEqual(str(const1), "Kb") @@ -73,8 +73,8 @@ def test_RxnVariable_string_functions(self): def test_Species_tolerances(self): # """RxnSpecies(*s) tolerance settings""" - species1 = wntr.quality.Species("B", "Cl", "mg") - species2 = wntr.quality.Species("W", "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + species1 = wntr.msx.Species("B", "Cl", "mg") + species2 = wntr.msx.Species("W", "Cl", "mg", 0.01, 0.0001, note="Testing stuff") self.assertIsNone(species1.get_tolerances()) self.assertIsNotNone(species2.get_tolerances()) self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) @@ -94,19 +94,19 @@ def test_Species_tolerances(self): def test_BulkSpecies_creation(self): # """BlukSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.quality.Species, "b", "Re") - self.assertRaises(ValueError, wntr.quality.Species, "B", "Re", "mg") - self.assertRaises(TypeError, wntr.quality.Species, 1, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.quality.Species, wntr.quality.base.SpeciesType.BULK, "Cl", "mg", None, 0.01) - species = wntr.quality.Species(1, "Cl", "mg") + self.assertRaises(TypeError, wntr.msx.Species, "b", "Re") + self.assertRaises(ValueError, wntr.msx.Species, "B", "Re", "mg") + self.assertRaises(TypeError, wntr.msx.Species, 1, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.msx.Species, wntr.msx.base.SpeciesType.BULK, "Cl", "mg", None, 0.01) + species = wntr.msx.Species(1, "Cl", "mg") self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.quality.SpeciesType.BULK) + self.assertEqual(species.var_type, wntr.msx.SpeciesType.BULK) self.assertIsNone(species._atol) self.assertIsNone(species._rtol) self.assertIsNone(species.note) - species = wntr.quality.Species('b', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.quality.SpeciesType.BULK) + species = wntr.msx.Species('b', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.msx.SpeciesType.BULK) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species._atol, 0.01) @@ -115,19 +115,19 @@ def test_BulkSpecies_creation(self): def test_WallSpecies_creation(self): # """WallSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.quality.Species, 'W', "Re") - self.assertRaises(ValueError, wntr.quality.Species, 'Wall', "Re", "mg") - self.assertRaises(TypeError, wntr.quality.Species, 2, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.quality.Species, 'W', "Cl", "mg", None, 0.01) - species = wntr.quality.Species('w', "Cl", "mg") + self.assertRaises(TypeError, wntr.msx.Species, 'W', "Re") + self.assertRaises(ValueError, wntr.msx.Species, 'Wall', "Re", "mg") + self.assertRaises(TypeError, wntr.msx.Species, 2, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.msx.Species, 'W', "Cl", "mg", None, 0.01) + species = wntr.msx.Species('w', "Cl", "mg") self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.quality.SpeciesType.WALL) + self.assertEqual(species.var_type, wntr.msx.SpeciesType.WALL) self.assertIsNone(species._atol) self.assertIsNone(species._rtol) self.assertIsNone(species.note) - species = wntr.quality.Species('w', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.quality.SpeciesType.WALL) + species = wntr.msx.Species('w', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.msx.SpeciesType.WALL) self.assertEqual(species.name, "Cl") self.assertEqual(species.units, "mg") self.assertEqual(species._atol, 0.01) @@ -135,75 +135,75 @@ def test_WallSpecies_creation(self): self.assertEqual(species.note, "Testing stuff") def test_Constant_creation(self): - self.assertRaises(TypeError, wntr.quality.Constant, "Re") - self.assertRaises(ValueError, wntr.quality.Constant, "Re", 2.48) - const1 = wntr.quality.Constant("Kb", 0.482, note="test") + self.assertRaises(TypeError, wntr.msx.Constant, "Re") + self.assertRaises(ValueError, wntr.msx.Constant, "Re", 2.48) + const1 = wntr.msx.Constant("Kb", 0.482, note="test") # FIXME: Find a way to suppress warning printing # self.assertWarns(RuntimeWarning, wntr.reaction.Constant, 'Kb1', 0.83, pipe_values={'a',1}) self.assertEqual(const1.name, "Kb") self.assertEqual(const1.global_value, 0.482) self.assertEqual(const1.get_value(), const1.global_value) - self.assertEqual(const1.var_type, wntr.quality.QualityVarType.CONST) + self.assertEqual(const1.var_type, wntr.msx.VariableType.CONST) self.assertEqual(const1.note, "test") def test_Parameter_creation(self): - self.assertRaises(TypeError, wntr.quality.Parameter, "Re") - self.assertRaises(ValueError, wntr.quality.Parameter, "Re", 2.48) - param1 = wntr.quality.Parameter("Kb", 0.482, note="test") + self.assertRaises(TypeError, wntr.msx.Parameter, "Re") + self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 2.48) + param1 = wntr.msx.Parameter("Kb", 0.482, note="test") self.assertEqual(param1.name, "Kb") self.assertEqual(param1.global_value, 0.482) self.assertEqual(param1.get_value(), param1.global_value) - self.assertEqual(param1.var_type, wntr.quality.QualityVarType.PARAM) + self.assertEqual(param1.var_type, wntr.msx.VariableType.PARAM) self.assertEqual(param1.note, "test") test_pipe_dict = {"PIPE": 0.38} test_tank_dict = {"TANK": 222.23} - param2 = wntr.quality.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) + param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) self.assertDictEqual(param2.pipe_values, test_pipe_dict) self.assertDictEqual(param2.tank_values, test_tank_dict) def test_RxnTerm_creation(self): - self.assertRaises(TypeError, wntr.quality.OtherTerm, "Re") - self.assertRaises(ValueError, wntr.quality.OtherTerm, "Re", "1.0*Re") - term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + self.assertRaises(TypeError, wntr.msx.OtherTerm, "Re") + self.assertRaises(ValueError, wntr.msx.OtherTerm, "Re", "1.0*Re") + term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(term1.name, "T0") self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") - self.assertEqual(term1.var_type, wntr.quality.QualityVarType.TERM) + self.assertEqual(term1.var_type, wntr.msx.VariableType.TERM) self.assertEqual(term1.note, "bar") def test_RxnExpression_strings(self): - equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.quality.TankReaction("Cl", wntr.quality.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.quality.PipeReaction("Cl", wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.msx.EquilibriumDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.msx.TankReaction("Cl", wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.msx.PipeReaction("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") def test_Equilibrium_creation(self): - equil1 = wntr.quality.EquilibriumDynamics("Cl", wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + equil1 = wntr.msx.EquilibriumDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(equil1.species, "Cl") self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.dynamics, wntr.quality.DynamicsType.EQUIL) + self.assertEqual(equil1.dynamics, wntr.msx.ExpressionType.EQUIL) def test_Rate_creation(self): - rate1 = wntr.quality.TankReaction("Cl", wntr.quality.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + rate1 = wntr.msx.TankReaction("Cl", wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") self.assertEqual(rate1.species_name, "Cl") self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(rate1.dynamics, wntr.quality.DynamicsType.RATE) + self.assertEqual(rate1.dynamics, wntr.msx.ExpressionType.RATE) self.assertEqual(rate1.note, "Foo Bar") def test_Formula_creation(self): - formula1 = wntr.quality.FormulaDynamics("Cl", wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + formula1 = wntr.msx.FormulaDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") self.assertEqual(formula1.species, "Cl") self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.dynamics, wntr.quality.DynamicsType.FORMULA) + self.assertEqual(formula1.dynamics, wntr.msx.ExpressionType.FORMULA) def test_WaterQualityReactionsModel_creation_specific_everything(self): - rxn_model1 = wntr.quality.MultispeciesQualityModel() - bulk1 = wntr.quality.Species('b',"Cl", "mg") - wall1 = wntr.quality.Species('w', "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.quality.Constant("Kb", 0.482) - param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") - term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - equil1 = wntr.quality.EquilibriumDynamics(bulk1, wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.quality.TankReaction(bulk1, wntr.quality.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.quality.FormulaDynamics(wall1, wntr.quality.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + rxn_model1 = wntr.msx.MsxModel() + bulk1 = wntr.msx.Species('b',"Cl", "mg") + wall1 = wntr.msx.Species('w', "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.msx.Constant("Kb", 0.482) + param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") + term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + equil1 = wntr.msx.EquilibriumDynamics(bulk1, wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.msx.TankReaction(bulk1, wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.msx.FormulaDynamics(wall1, wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") bulk2 = rxn_model1.add_bulk_species("Cl", "mg") wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") @@ -211,7 +211,7 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): param2 = rxn_model1.add_parameter("Ka", 0.482, note="foo") term2 = rxn_model1.add_other_term("T0", "-3.2 * Kb * Cl^2", note="bar") equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") - rate2 = rxn_model1.add_tank_reaction("Cl", wntr.quality.DynamicsType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") + rate2 = rxn_model1.add_tank_reaction("Cl", wntr.msx.ExpressionType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") formula2 = rxn_model1.add_reaction("PIPE", "ClOH", "formula", "-Ka + Kb * Cl + T0") self.assertEqual(bulk1, bulk2) self.assertEqual(wall1, wall2) @@ -223,22 +223,22 @@ def test_WaterQualityReactionsModel_creation_specific_everything(self): # self.assertEqual(formula1, formula2) def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): - bulk1 = wntr.quality.Species('b', "Cl", "mg") - wall1 = wntr.quality.Species(2, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.quality.Constant("Kb", 0.482) - param1 = wntr.quality.Parameter("Ka", 0.482, note="foo") - term1 = wntr.quality.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + bulk1 = wntr.msx.Species('b', "Cl", "mg") + wall1 = wntr.msx.Species(2, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.msx.Constant("Kb", 0.482) + param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") + term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - rxn_model2 = wntr.quality.MultispeciesQualityModel() + rxn_model2 = wntr.msx.MsxModel() - self.assertRaises(ValueError, rxn_model2.add_species, wntr.quality.QualityVarType.CONST, "Cl", "mg") + self.assertRaises(ValueError, rxn_model2.add_species, wntr.msx.VariableType.CONST, "Cl", "mg") self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) bulk3 = rxn_model2.add_species("BULK", "Cl", "mg") - wall3 = rxn_model2.add_species(wntr.quality.QualityVarType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + wall3 = rxn_model2.add_species(wntr.msx.VariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) - param3 = rxn_model2.add_coefficient(wntr.quality.QualityVarType.P, "Ka", 0.482, note="foo") + param3 = rxn_model2.add_coefficient(wntr.msx.VariableType.P, "Ka", 0.482, note="foo") self.assertEqual(bulk3, bulk1) self.assertEqual(wall3, wall1) From 0bc2088bbb7738b6bf435ee4e15dd67aa4acd2a2 Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 6 Nov 2023 10:06:38 -0700 Subject: [PATCH 035/118] Updates to naming, documentation --- documentation/conf.py | 2 +- wntr/epanet/exceptions.py | 124 +--------- wntr/epanet/msx/enums.py | 36 +-- wntr/epanet/msx/exceptions.py | 84 +------ wntr/epanet/msx/toolkit.py | 39 ++-- wntr/epanet/toolkit.py | 338 ++++++++++++++------------- wntr/epanet/util.py | 22 +- wntr/msx/__init__.py | 19 +- wntr/msx/base.py | 414 ++++++++++++++++++++++------------ wntr/msx/elements.py | 394 +++++++++++++++----------------- wntr/msx/library.py | 144 ++++++------ wntr/msx/model.py | 396 +++++++++++++++++--------------- wntr/msx/options.py | 14 +- 13 files changed, 985 insertions(+), 1041 deletions(-) diff --git a/documentation/conf.py b/documentation/conf.py index 6520b0233..f9eef5dfc 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -108,7 +108,7 @@ # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True -autodoc_type_aliases = {'Literal': 'Literal', 'Name':'Name', 'NameList':'NameList', 'LiteralList':'LiteralList', 'Key':'Key', 'KeyList':'KeyList','Verbatim': 'Verbatim', 'URI': 'URI', 'Date':'Date', 'Range':'Range', 'SeparatedValues':'SeparatedValues'} +autodoc_type_aliases = {'DataFrame': 'pandas DataFrame', 'MsxVariable': ':class:`~wntr.msx.model.MsxVariable`', 'NoteType': ':class:`~wntr.epanet.util.NoteType`'} # If true, the current module name will be prepended to all description # unit titles (such as .. function::). diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index ede847c16..82ce50f61 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -82,129 +82,7 @@ 309: "cannot save results to report file %s", } """A dictionary of the error codes and their meanings from the EPANET toolkit. - -.. table:: EPANET warnings - - =========== ============================================================================================================================================================================== - *Err No.* *Description* - ----------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ - **1-6** **Simulation warnings** - ----------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ - 1 At `time`, system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials - 2 At `time`, system may be hydraulically unstable - hydraulic convergence was only achieved after the status of all links was held fixed - 3 At `time`, system disconnected - one or more nodes with positive demands were disconnected for all supply sources - 4 At `time`, pumps cannot deliver enough flow or head - one or more pumps were forced to either shut down (due to insufficient head) or operate beyond the maximum rated flow - 5 At `time`, valves cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open - 6 At `time`, system has negative pressures - negative pressures occurred at one or more junctions with positive demand - =========== ============================================================================================================================================================================== - -.. table:: EPANET runtime errors - - =========== ================================================================= - *Err No.* *Description* - ----------- ----------------------------------------------------------------- - **101-120** **Runtime and simulation errors** - ----------- ----------------------------------------------------------------- - 101 insufficient memory available - 102 no network data available - 103 hydraulics not initialized - 104 no hydraulics for water quality analysis - 105 water quality not initialized - 106 no results saved to report on - 107 hydraulics supplied from external file - 108 cannot use external file while hydraulics solver is active - 109 cannot change time parameter when solver is active - 110 cannot solve network hydraulic equations - 120 cannot solve water quality transport equations - =========== ================================================================= - -.. table:: EPANET network errors - - =========== ================================================================= - *Err No.* *Description* - ----------- ----------------------------------------------------------------- - **200-201** **Input file errors (exclusively for input files)** - ----------- ----------------------------------------------------------------- - 200 one or more errors in input file - 201 syntax error - ----------- ----------------------------------------------------------------- - **202-222** **Input file and toolkit errors** - ----------- ----------------------------------------------------------------- - 202 illegal numeric value - 203 undefined node - 204 undefined link - 205 undefined time pattern - 206 undefined curve - 207 attempt to control a CV/GPV link - 208 illegal PDA pressure limits - 209 illegal node property value - 211 illegal link property value - 212 undefined trace node - 213 invalid option value - 214 too many characters in input line - 215 duplicate ID label - 216 reference to undefined pump - 217 pump has no head curve or power defined - 218 `note: error number 218 is undefined in the EPANET 2.2 toolkit` - 219 illegal valve connection to tank node - 220 illegal valve connection to another valve - 221 misplaced rule clause in rule-based control - 222 link assigned same start and end nodes - ----------- ----------------------------------------------------------------- - **223-234** **Network consistency errors (INP-file and/or toolkit)** - ----------- ----------------------------------------------------------------- - 223 not enough nodes in network - 224 no tanks or reservoirs in network - 225 invalid lower/upper levels for tank - 226 no head curve or power rating for pump - 227 invalid head curve for pump - 230 nonincreasing x-values for curve - 233 network has unconnected node - 234 network has an unconnected node with ID `id` - ----------- ----------------------------------------------------------------- - **240-263** **Toolkit-only errors** - ----------- ----------------------------------------------------------------- - 240 nonexistent water quality source - 241 nonexistent control - 250 invalid format (e.g. too long an ID name) - 251 invalid parameter code - 252 invalid ID name - 253 nonexistent demand category - 254 node with no coordinates - 255 invalid link vertex - 257 nonexistent rule - 258 nonexistent rule clause - 259 attempt to delete a node that still has links connected to it - 260 attempt to delete node assigned as a Trace Node - 261 attempt to delete a node or link contained in a control - 262 attempt to modify network structure while a solver is open - 263 node is not a tank - =========== ================================================================= - -.. table:: EPANET file/system errors - - =========== ================================================================= - *Err No.* *Description* - ----------- ----------------------------------------------------------------- - **301-305** **Filename errors** - ----------- ----------------------------------------------------------------- - 301 identical file names used for different types of files - 302 cannot open input file - 303 cannot open report file - 304 cannot open binary output file - 305 cannot open hydraulics file - ----------- ----------------------------------------------------------------- - **306-307** **File structure errors** - ----------- ----------------------------------------------------------------- - 306 hydraulics file does not match network data - 307 cannot read hydraulics file - ----------- ----------------------------------------------------------------- - **308-309** **Filesystem errors** - ----------- ----------------------------------------------------------------- - 308 cannot save results to binary file - 309 cannot save results to report file - =========== ================================================================= - +Please see :doc:`/errors` for a tables of these values. :meta hide-value: """ diff --git a/wntr/epanet/msx/enums.py b/wntr/epanet/msx/enums.py index 6a94ca483..e2a77fead 100644 --- a/wntr/epanet/msx/enums.py +++ b/wntr/epanet/msx/enums.py @@ -4,7 +4,7 @@ from wntr.utils.enumtools import add_get @add_get(prefix='MSX_') -class ObjectType(IntEnum): +class TkObjectType(IntEnum): """The enumeration for object type used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -47,7 +47,7 @@ class ObjectType(IntEnum): @add_get(prefix='MSX_') -class SourceType(IntEnum): +class TkSourceType(IntEnum): """The enumeration for source type used in EPANET-MSX. .. warning:: These enum values start with -1. @@ -77,7 +77,7 @@ class SourceType(IntEnum): @add_get(prefix='MSX_') -class UnitSystemType(IntEnum): +class TkUnitSystem(IntEnum): """The enumeration for the units system used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -98,7 +98,7 @@ class UnitSystemType(IntEnum): @add_get(prefix='MSX_') -class FlowUnitsType(IntEnum): +class TkFlowUnits(IntEnum): """The enumeration for the flow units used in EPANET-MSX (determined from EPANET INP file read in with the toolkit). .. warning:: These enum values start with 0. @@ -143,7 +143,7 @@ class FlowUnitsType(IntEnum): @add_get(prefix='MSX_') -class MixType(IntEnum): +class TkMixType(IntEnum): """The enumeration for the mixing model used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -170,7 +170,7 @@ class MixType(IntEnum): @add_get(prefix='MSX_') -class SpeciesType(IntEnum): +class TkSpeciesType(IntEnum): """The enumeration for species type used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -191,7 +191,7 @@ class SpeciesType(IntEnum): @add_get(prefix='MSX_') -class ExpressionType(IntEnum): +class TkExpressionType(IntEnum): """The enumeration for the expression type used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -218,7 +218,7 @@ class ExpressionType(IntEnum): @add_get(prefix='MSX_') -class SolverType(IntEnum): +class TkSolverType(IntEnum): """The enumeration for the solver type used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -242,7 +242,7 @@ class SolverType(IntEnum): @add_get(prefix='MSX_') -class CouplingType(IntEnum): +class TkCouplingType(IntEnum): """The enumeration for the coupling type option used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -263,7 +263,7 @@ class CouplingType(IntEnum): @add_get(prefix='MSX_') -class MassUnitsType(IntEnum): +class TkMassUnits(IntEnum): """The enumeration for mass units used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -290,7 +290,7 @@ class MassUnitsType(IntEnum): @add_get(prefix='MSX_') -class AreaUnitsType(IntEnum): +class TkAreaUnits(IntEnum): """The enumeration for area units used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -314,7 +314,7 @@ class AreaUnitsType(IntEnum): @add_get(prefix='MSX_') -class RateUnitsType(IntEnum): +class TkRateUnits(IntEnum): """The enumeration for rate units used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -341,7 +341,7 @@ class RateUnitsType(IntEnum): @add_get(prefix='MSX_') -class UnitsType(IntEnum): +class TkUnits(IntEnum): """The position for units used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -378,7 +378,7 @@ class UnitsType(IntEnum): @add_get(prefix='MSX_') -class HydVarType(IntEnum): +class TkHydVar(IntEnum): """The enumeration for hydraulic variable used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -421,7 +421,7 @@ class HydVarType(IntEnum): @add_get(prefix='MSX_') -class TstatType(IntEnum): +class TkTstat(IntEnum): """The enumeration used for time statistic in EPANET-MSX. .. warning:: These enum values start with 0. @@ -451,7 +451,7 @@ class TstatType(IntEnum): @add_get(prefix='MSX_') -class OptionType(IntEnum): +class TkOption(IntEnum): """The enumeration used for choosing an option in EPANET-MSX toolkit. .. warning:: These enum values start with 0. @@ -496,7 +496,7 @@ class OptionType(IntEnum): @add_get(prefix='MSX_') -class CompilerType(IntEnum): +class TkCompiler(IntEnum): """The enumeration used for specifying compiler options in EPANET-MSX. .. warning:: These enum values start with 0. @@ -520,7 +520,7 @@ class CompilerType(IntEnum): @add_get(prefix='MSX_') -class FileModeType(IntEnum): +class TkFileMode(IntEnum): """The enumeration for file model used in EPANET-MSX. .. warning:: These enum values start with 0. diff --git a/wntr/epanet/msx/exceptions.py b/wntr/epanet/msx/exceptions.py index 0faeeac71..2ed33e506 100644 --- a/wntr/epanet/msx/exceptions.py +++ b/wntr/epanet/msx/exceptions.py @@ -52,82 +52,6 @@ :meta hide-value: """ - -@add_get(prefix="ERR_") -class MsxErrorEnum(IntEnum): - """The EPANET-MSX input and toolkit error numbers, keys, and descriptions. - """ - - MAX_CHARS = 401 - "too many characters" - NUM_ITEMS = 402 - "too few input items" - INVALID_KEYWORD = 403 - "invalid keyword" - INVALID_NUMBER = 404 - "invalid numeric value" - UNDEFINED_OBJECT_TYPE = 405 - "reference to undefined object" - RESERVED_NAME = 406 - "illegal use of reserved name" - NAME = 407 - "name already used by another object" - SPECIES_EXPR = 408 - "species already assigned an expression" - ILLEGAL_MATH_EXPR = 409 - "illegal math expression" - DEPRECATED = 410 - "option no longer supported" - CYCLIC_REFERENCE = 411 - "term contains a cyclic reference" - MEMORY = 501 - "insufficient memory available" - NO_EPANET_FILE = 502 - "no EPANET data file supplied" - OPEN_MSX_FILE = 503 - "could not open MSX input file" - OPEN_HYD_FILE = 504 - "could not open hydraulic results file" - READ_HYD_FILE = 505 - "could not read hydraulic results file" - MSX_INPUT = 506 - "could not read MSX input file" - NUM_PIPE_EXPR = 507 - "too few pipe reaction expressions" - NUM_TANK_EXPR = 508 - "too few tank reaction expressions" - INTEGRATOR_OPEN = 509 - """could not open differential equation solver""" - NEWTON_OPEN = 510 - "could not open algebraic equation solver" - OPEN_OUT_FILE = 511 - """could not open binary results file""" - IO_OUT_FILE = 512 - """read/write error on binary results file""" - INTEGRATION = 513 - """could not integrate reaction rate expressions""" - NEWTON = 514 - """could not solve reaction equilibrium expressions""" - INVALID_OBJECT_TYPE = 515 - """reference made to an unknown type of object""" - INVALID_OBJECT_INDEX = 516 - """reference made to an illegal object index""" - UNDEFINED_OBJECT_ID = 517 - """reference made to an undefined object ID""" - INVALID_OBJECT_PARAMS = 518 - """invalid property values were specified""" - MSX_NOT_OPENED = 519 - """an MSX project was not opened""" - MSX_OPENED = 520 - """an MSX project is already opened""" - COMPILE_FAILED = 522 - """could not compile chemistry functions""" - COMPLED_LOAD = 523 - """could not load functions from compiled chemistry file""" - ILLEGAL_MATH = 524 - """illegal math operation""" - - class EpanetMsxException(EpanetException): def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> None: """An Exception class for EPANET-MSX Toolkit and IO exceptions. @@ -144,13 +68,9 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> line : str, optional The contents of the line, by default None """ - try: - code = MsxErrorEnum.get(code) - except: - return super().__init__(code, *args, line_num=line_num, line=line) - if int(code) < 400: + if not code or int(code) < 400: return super().__init__(code, *args, line_num=line_num, line=line) - msg = MSX_ERROR_CODES.get(code, "unknown error") + msg = MSX_ERROR_CODES.get(code, "unknown MSX error number {}".format(code)) if args is not None: args = [*args] if r"%" in msg and len(args) > 0: diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py index 84fdcd9f2..b45056d47 100644 --- a/wntr/epanet/msx/toolkit.py +++ b/wntr/epanet/msx/toolkit.py @@ -8,7 +8,6 @@ licensed under the BSD license. See LICENSE.txt for details. """ import ctypes -from enum import IntEnum import os import os.path import platform @@ -18,11 +17,11 @@ from pkg_resources import resource_filename -from wntr.epanet.msx.enums import ObjectType, SourceType +from wntr.epanet.msx.enums import TkObjectType, TkSourceType from ..toolkit import ENepanet from ..util import SizeLimits -from .exceptions import EpanetMsxException, MSX_ERROR_CODES, MSXKeyError, MSXValueError +from .exceptions import MSX_ERROR_CODES, EpanetMsxException, MSXKeyError, MSXValueError epanet_toolkit = "wntr.epanet.toolkit" @@ -216,7 +215,7 @@ def MSXreport(self): raise EpanetMsxException(ierr) # ---------get parameters--------------------------------------------------------------- - def MSXgetindex(self, _type: Union[int, ObjectType], name): + def MSXgetindex(self, _type: Union[int, TkObjectType], name): """Retrieves the internal index of an MSX object given its name. Parameters @@ -239,7 +238,7 @@ def MSXgetindex(self, _type: Union[int, ObjectType], name): if _type is not a valid MSX object type """ try: - _type = ObjectType.get(_type) + _type = TkObjectType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) type_ind = int(_type) @@ -265,7 +264,7 @@ def MSXgetIDlen(self, _type, index): the length of the object ID """ try: - _type = ObjectType.get(_type) + _type = TkObjectType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) type_ind = int(_type) @@ -291,7 +290,7 @@ def MSXgetID(self, _type, index): the object ID """ try: - _type = ObjectType.get(_type) + _type = TkObjectType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) type_ind = int(_type) @@ -331,10 +330,10 @@ def MSXgetinitqual(self, _type, node_link_index, species_index): any other error from the C-API """ try: - _type = ObjectType.get(_type) + _type = TkObjectType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) - if _type not in [ObjectType.NODE, ObjectType.LINK]: + if _type not in [TkObjectType.NODE, TkObjectType.LINK]: raise MSXValueError(515, repr(_type)) type_ind = int(_type) iniqual = ctypes.c_double() @@ -370,10 +369,10 @@ def MSXgetqual(self, _type, node_link_index, species_index): any other error from the C-API """ try: - _type = ObjectType.get(_type) + _type = TkObjectType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) - if _type not in [ObjectType.NODE, ObjectType.LINK]: + if _type not in [TkObjectType.NODE, TkObjectType.LINK]: raise MSXValueError(515, repr(_type)) type_ind = int(_type) qual = ctypes.c_double() @@ -433,10 +432,10 @@ def MSXgetparameter(self, _type, node_link_index, param_index): _description_ """ try: - _type = ObjectType.get(_type) + _type = TkObjectType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) - if _type not in [ObjectType.NODE, ObjectType.LINK]: + if _type not in [TkObjectType.NODE, TkObjectType.LINK]: raise MSXValueError(515, repr(_type)) type_ind = int(_type) param = ctypes.c_double() @@ -456,7 +455,7 @@ def MSXgetsource(self, node_index, species_index): ierr = self.ENlib.MSXgetsource(ctypes.c_int(node_index), ctypes.c_int(species_index), ctypes.byref(_type), ctypes.byref(level), ctypes.byref(pat)) if ierr != 0: raise EpanetMsxException(ierr, repr(dict(node_index=node_index, species_index=species_index))) - src_out = [SourceType.get(_type.value), level.value, pat.value] + src_out = [TkSourceType.get(_type.value), level.value, pat.value] return src_out def MSXgetpatternlen(self, pat): @@ -530,7 +529,7 @@ def MSXgetcount(self, _type): _description_ """ try: - _type = ObjectType.get(_type) + _type = TkObjectType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) type_ind = int(_type) @@ -633,10 +632,10 @@ def MSXsetparameter(self, _type, ind, param, value): _description_ """ try: - _type = ObjectType.get(_type) + _type = TkObjectType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) - if _type not in [ObjectType.NODE, ObjectType.LINK]: + if _type not in [TkObjectType.NODE, TkObjectType.LINK]: raise MSXValueError(515, repr(_type)) type_ind = int(_type) ierr = self.ENlib.MSXsetparameter(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(param), ctypes.c_double(value)) @@ -668,10 +667,10 @@ def MSXsetinitqual(self, _type, ind, spe, value): _description_ """ try: - _type = ObjectType.get(_type) + _type = TkObjectType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) - if _type not in [ObjectType.NODE, ObjectType.LINK]: + if _type not in [TkObjectType.NODE, TkObjectType.LINK]: raise MSXValueError(515, repr(_type)) type_ind = int(_type) ierr = self.ENlib.MSXsetinitqual(ctypes.c_int(type_ind), ctypes.c_int(ind), ctypes.c_int(spe), ctypes.c_double(value)) @@ -702,7 +701,7 @@ def MSXsetsource(self, node, spe, _type, level, pat): _description_ """ try: - _type = SourceType.get(_type) + _type = TkSourceType.get(_type) except KeyError: raise MSXKeyError(515, repr(_type)) type_ind = int(_type) diff --git a/wntr/epanet/toolkit.py b/wntr/epanet/toolkit.py index 21ffb67a5..c368e2a28 100644 --- a/wntr/epanet/toolkit.py +++ b/wntr/epanet/toolkit.py @@ -13,14 +13,20 @@ """ import ctypes +import logging import os import os.path import platform import sys from ctypes import byref -from .util import SizeLimits + from pkg_resources import resource_filename +from .exceptions import EN_ERROR_CODES, EpanetException +from .util import SizeLimits + +logger = logging.getLogger(__name__) + epanet_toolkit = "wntr.epanet.toolkit" if os.name in ["nt", "dos"]: @@ -30,15 +36,6 @@ else: libepanet = resource_filename(__name__, "Linux/libepanet2.so") -import logging - -logger = logging.getLogger(__name__) - - -# import warnings - -from .exceptions import EpanetException, EN_ERROR_CODES - def ENgetwarning(code, sec=-1): if sec >= 0: @@ -50,20 +47,20 @@ def ENgetwarning(code, sec=-1): else: header = "{}".format(code) if code < 100: - msg = EN_ERROR_CODES.get(code, 'Unknown warning %s') + msg = EN_ERROR_CODES.get(code, "Unknown warning %s") else: raise EpanetException(code) - + return msg % header + def runepanet(inpfile, rptfile=None, binfile=None): """Run an EPANET command-line simulation - + Parameters ---------- inpfile : str The input file name - """ file_prefix, file_ext = os.path.splitext(inpfile) if rptfile is None: @@ -98,11 +95,9 @@ class ENepanet: Results file to generate version : float EPANET version to use (either 2.0 or 2.2) - """ def __init__(self, inpfile="", rptfile="", binfile="", version=2.2): - self.ENlib = None self.errcode = 0 self.errcodelist = [] @@ -127,19 +122,13 @@ def __init__(self, inpfile="", rptfile="", binfile="", version=2.2): for lib in libnames: try: if os.name in ["nt", "dos"]: - libepanet = resource_filename( - epanet_toolkit, "Windows/%s.dll" % lib - ) + libepanet = resource_filename(epanet_toolkit, "Windows/%s.dll" % lib) self.ENlib = ctypes.windll.LoadLibrary(libepanet) elif sys.platform in ["darwin"]: - libepanet = resource_filename( - epanet_toolkit, "Darwin/lib%s.dylib" % lib - ) + libepanet = resource_filename(epanet_toolkit, "Darwin/lib%s.dylib" % lib) self.ENlib = ctypes.cdll.LoadLibrary(libepanet) else: - libepanet = resource_filename( - epanet_toolkit, "Linux/lib%s.so" % lib - ) + libepanet = resource_filename(epanet_toolkit, "Linux/lib%s.so" % lib) self.ENlib = ctypes.cdll.LoadLibrary(libepanet) return except Exception as E1: @@ -147,7 +136,7 @@ def __init__(self, inpfile="", rptfile="", binfile="", version=2.2): raise E1 pass finally: - if version >= 2.2 and '32' not in lib: + if version >= 2.2 and "32" not in lib: self._project = ctypes.c_uint64() elif version >= 2.2: self._project = ctypes.c_uint32() @@ -164,8 +153,8 @@ def _error(self, *args): if not self.errcode: return # errtxt = self.ENlib.ENgeterror(self.errcode) - errtext = EN_ERROR_CODES.get(self.errcode, 'unknown error') - if '%' in errtext and len(args) == 1: + errtext = EN_ERROR_CODES.get(self.errcode, "unknown error") + if "%" in errtext and len(args) == 1: errtext % args if self.errcode >= 100: self.Errflag = True @@ -174,7 +163,7 @@ def _error(self, *args): else: self.Warnflag = True # warnings.warn(ENgetwarning(self.errcode)) - logger.warning('EPANET warning {} - {}'.format(self.errcode, ENgetwarning(self.errcode, self.cur_time))) + logger.warning("EPANET warning {} - {}".format(self.errcode, ENgetwarning(self.errcode, self.cur_time))) self.errcodelist.append(ENgetwarning(self.errcode, self.cur_time)) return @@ -190,7 +179,6 @@ def ENopen(self, inpfile=None, rptfile=None, binfile=None): Output file to create (default to constructor value) binfile : str Binary output file to create (default to constructor value) - """ if self._project is not None: if self.fileLoaded: @@ -260,7 +248,6 @@ def ENsaveH(self): Must be called before ENreport() if no water quality simulation made. Should not be called if ENsolveQ() will be used. - """ if self._project is not None: self.errcode = self.ENlib.EN_saveH(self._project) @@ -288,7 +275,6 @@ def ENinitH(self, iFlag): if link flows should be re-initialized (1) or not (0) and 2nd digit indicates if hydraulic results should be saved to file (1) or not (0) - """ if self._project is not None: self.errcode = self.ENlib.EN_initH(self._project, iFlag) @@ -299,16 +285,15 @@ def ENinitH(self, iFlag): def ENrunH(self): """Solves hydraulics for conditions at time t - + This function is used in a loop with ENnextH() to run an extended period hydraulic simulation. See ENsolveH() for an example. - + Returns -------- int Current simulation time (seconds) - """ lT = ctypes.c_long() if self._project is not None: @@ -321,16 +306,15 @@ def ENrunH(self): def ENnextH(self): """Determines time until next hydraulic event - + This function is used in a loop with ENrunH() to run an extended period hydraulic simulation. See ENsolveH() for an example. - + Returns --------- int Time (seconds) until next hydraulic event (0 marks end of simulation period) - """ lTstep = ctypes.c_long() if self._project is not None: @@ -356,7 +340,6 @@ def ENsavehydfile(self, filename): ------------- filename : str Name of hydraulics file to output - """ if self._project is not None: self.errcode = self.ENlib.EN_savehydfile(self._project, filename.encode("latin-1")) @@ -372,7 +355,6 @@ def ENusehydfile(self, filename): ------------- filename : str Name of hydraulics file to use - """ if self._project is not None: self.errcode = self.ENlib.EN_usehydfile(self._project, filename.encode("latin-1")) @@ -406,7 +388,6 @@ def ENinitQ(self, iSaveflag): ------------- iSaveflag : int EN_SAVE (1) if results saved to file, EN_NOSAVE (0) if not - """ if self._project is not None: self.errcode = self.ENlib.EN_initQ(self._project, iSaveflag) @@ -417,16 +398,15 @@ def ENinitQ(self, iSaveflag): def ENrunQ(self): """Retrieves hydraulic and water quality results at time t - + This function is used in a loop with ENnextQ() to run an extended period water quality simulation. See ENsolveQ() for an example. - + Returns ------- int Current simulation time (seconds) - """ lT = ctypes.c_long() if self._project is not None: @@ -442,12 +422,11 @@ def ENnextQ(self): This function is used in a loop with ENrunQ() to run an extended period water quality simulation. See ENsolveQ() for an example. - + Returns -------- int Time (seconds) until next hydraulic event (0 marks end of simulation period) - """ lTstep = ctypes.c_long() if self._project is not None: @@ -487,7 +466,7 @@ def ENgetcount(self, iCode): --------- int Number of components in network - + """ iCount = ctypes.c_int() if self._project is not None: @@ -503,7 +482,7 @@ def ENgetflowunits(self): Returns ----------- Code of flow units in use (see toolkit.optFlowUnits) - + """ iCode = ctypes.c_int() if self._project is not None: @@ -513,6 +492,27 @@ def ENgetflowunits(self): self._error() return iCode.value + def ENgetnodeid(self, iIndex): + """Gets the ID name of a node given its index. + + Parameters + ---------- + iIndex : int + a node's index (starting from 1). + + Returns + ------- + str + the node name + """ + fValue = ctypes.create_string_buffer(SizeLimits.EN_MAX_ID.value) + if self._project is not None: + self.errcode = self.ENlib.EN_getnodeid(self._project, iIndex, byref(fValue)) + else: + self.errcode = self.ENlib.ENgetnodeid(iIndex, byref(fValue)) + self._error() + return str(fValue.value, "UTF-8") + def ENgetnodeindex(self, sId): """Retrieves index of a node with specific ID @@ -524,7 +524,7 @@ def ENgetnodeindex(self, sId): Returns --------- Index of node in list of nodes - + """ iIndex = ctypes.c_int() if self._project is not None: @@ -534,9 +534,29 @@ def ENgetnodeindex(self, sId): self._error() return iIndex.value - def ENgetnodevalue(self, iIndex, iCode): + def ENgetnodetype(self, iIndex): + """Retrieves a node's type given its index. + + Parameters + ---------- + iIndex : int + The index of the node + + Returns + ------- + int + the node type as an integer """ - Retrieves parameter value for a node + fValue = ctypes.c_int() + if self._project is not None: + self.errcode = self.ENlib.EN_getnodetype(self._project, iIndex, byref(fValue)) + else: + self.errcode = self.ENlib.ENgetnodetype(iIndex, byref(fValue)) + self._error() + return fValue.value + + def ENgetnodevalue(self, iIndex, iCode): + """Retrieves parameter value for a node Parameters ------------- @@ -559,6 +579,27 @@ def ENgetnodevalue(self, iIndex, iCode): self._error() return fValue.value + def ENgetlinktype(self, iIndex): + """Retrieves a link's type given its index. + + Parameters + ---------- + iIndex : int + The index of the link + + Returns + ------- + int + the link type as an integer + """ + fValue = ctypes.c_int() + if self._project is not None: + self.errcode = self.ENlib.EN_getlinktype(self._project, iIndex, byref(fValue)) + else: + self.errcode = self.ENlib.EN_getlinktype(iIndex, byref(fValue)) + self._error() + return fValue.value + def ENgetlinkindex(self, sId): """Retrieves index of a link with specific ID @@ -605,8 +646,7 @@ def ENgetlinkvalue(self, iIndex, iCode): return fValue.value def ENsetlinkvalue(self, iIndex, iCode, fValue): - """ - Set the value on a link + """Set the value on a link Parameters ---------- @@ -618,13 +658,11 @@ def ENsetlinkvalue(self, iIndex, iCode, fValue): the value to set on the link """ if self._project is not None: - self.errcode = self.ENlib.EN_setlinkvalue(self._project, - ctypes.c_int(iIndex), ctypes.c_int(iCode), ctypes.c_double(fValue) + self.errcode = self.ENlib.EN_setlinkvalue( + self._project, ctypes.c_int(iIndex), ctypes.c_int(iCode), ctypes.c_double(fValue) ) else: - self.errcode = self.ENlib.ENsetlinkvalue( - ctypes.c_int(iIndex), ctypes.c_int(iCode), ctypes.c_float(fValue) - ) + self.errcode = self.ENlib.ENsetlinkvalue(ctypes.c_int(iIndex), ctypes.c_int(iCode), ctypes.c_float(fValue)) self._error() def ENsetnodevalue(self, iIndex, iCode, fValue): @@ -641,18 +679,15 @@ def ENsetnodevalue(self, iIndex, iCode, fValue): the value to set on the node """ if self._project is not None: - self.errcode = self.ENlib.EN_setnodevalue(self._project, - ctypes.c_int(iIndex), ctypes.c_int(iCode), ctypes.c_double(fValue) + self.errcode = self.ENlib.EN_setnodevalue( + self._project, ctypes.c_int(iIndex), ctypes.c_int(iCode), ctypes.c_double(fValue) ) else: - self.errcode = self.ENlib.ENsetnodevalue( - ctypes.c_int(iIndex), ctypes.c_int(iCode), ctypes.c_float(fValue) - ) + self.errcode = self.ENlib.ENsetnodevalue(ctypes.c_int(iIndex), ctypes.c_int(iCode), ctypes.c_float(fValue)) self._error() def ENsettimeparam(self, eParam, lValue): - """ - Set a time parameter value + """Set a time parameter value Parameters ---------- @@ -662,18 +697,13 @@ def ENsettimeparam(self, eParam, lValue): the value to set, in seconds """ if self._project is not None: - self.errcode = self.ENlib.EN_settimeparam( - self._project, ctypes.c_int(eParam), ctypes.c_long(lValue) - ) + self.errcode = self.ENlib.EN_settimeparam(self._project, ctypes.c_int(eParam), ctypes.c_long(lValue)) else: - self.errcode = self.ENlib.ENsettimeparam( - ctypes.c_int(eParam), ctypes.c_long(lValue) - ) + self.errcode = self.ENlib.ENsettimeparam(ctypes.c_int(eParam), ctypes.c_long(lValue)) self._error() def ENgettimeparam(self, eParam): - """ - Get a time parameter value + """Get a time parameter value Parameters ---------- @@ -687,69 +717,63 @@ def ENgettimeparam(self, eParam): """ lValue = ctypes.c_long() if self._project is not None: - self.errcode = self.ENlib.EN_gettimeparam( - self._project, ctypes.c_int(eParam), byref(lValue) - ) + self.errcode = self.ENlib.EN_gettimeparam(self._project, ctypes.c_int(eParam), byref(lValue)) else: - self.errcode = self.ENlib.ENgettimeparam( - ctypes.c_int(eParam), byref(lValue) - ) + self.errcode = self.ENlib.ENgettimeparam(ctypes.c_int(eParam), byref(lValue)) self._error() return lValue.value def ENaddcontrol(self, iType: int, iLinkIndex: int, dSetting: float, iNodeIndex: int, dLevel: float) -> int: - """ - Add a new simple control + """Add a new simple control Parameters ---------- iType : int - _description_ + the type of control iLinkIndex : int - _description_ + the index of the link dSetting : float - _description_ + the new link setting value iNodeIndex : int Set to 0 for time of day or timer dLevel : float - _description_ + the level to compare against Returns ------- int - _description_ + the new control number """ lValue = ctypes.c_int() if self._project is not None: self.errcode = self.ENlib.EN_addcontrol( - self._project, - ctypes.c_int(iType), - ctypes.c_int(iLinkIndex), - ctypes.c_double(dSetting), - ctypes.c_int(iNodeIndex), + self._project, + ctypes.c_int(iType), + ctypes.c_int(iLinkIndex), + ctypes.c_double(dSetting), + ctypes.c_int(iNodeIndex), ctypes.c_double(dLevel), - byref(lValue) + byref(lValue), ) else: self.errcode = self.ENlib.ENaddcontrol( - ctypes.c_int(iType), - ctypes.c_int(iLinkIndex), - ctypes.c_double(dSetting), - ctypes.c_int(iNodeIndex), + ctypes.c_int(iType), + ctypes.c_int(iLinkIndex), + ctypes.c_double(dSetting), + ctypes.c_int(iNodeIndex), ctypes.c_double(dLevel), - byref(lValue) + byref(lValue), ) self._error() return lValue.value def ENgetcontrol(self, iIndex: int): - """ - Add a new simple control + """Get values defined by a control. Parameters ---------- iIndex : int - _description_ + the control number """ iType = ctypes.c_int() iLinkIndex = ctypes.c_int() @@ -758,111 +782,99 @@ def ENgetcontrol(self, iIndex: int): dLevel = ctypes.c_double() if self._project is not None: self.errcode = self.ENlib.EN_getcontrol( - self._project, - ctypes.c_int(iIndex), + self._project, + ctypes.c_int(iIndex), byref(iType), - byref(iLinkIndex), - byref(dSetting), - byref(iNodeIndex), - byref(dLevel) + byref(iLinkIndex), + byref(dSetting), + byref(iNodeIndex), + byref(dLevel), ) else: self.errcode = self.ENlib.ENgetcontrol( - ctypes.c_int(iIndex), - byref(iType), - byref(iLinkIndex), - byref(dSetting), - byref(iNodeIndex), - byref(dLevel) + ctypes.c_int(iIndex), byref(iType), byref(iLinkIndex), byref(dSetting), byref(iNodeIndex), byref(dLevel) ) self._error() - return dict(index=iIndex, type=iType.value, linkindex=iLinkIndex.value, setting=dSetting.value, nodeindex=iNodeIndex.value, level=dLevel.value) + return dict( + index=iIndex, + type=iType.value, + linkindex=iLinkIndex.value, + setting=dSetting.value, + nodeindex=iNodeIndex.value, + level=dLevel.value, + ) def ENsetcontrol(self, iIndex: int, iType: int, iLinkIndex: int, dSetting: float, iNodeIndex: int, dLevel: float): - """ - Add a new simple control + """Change values on a simple control Parameters ---------- iIndex : int - _description_ + the control index iType : int - _description_ + the type of control comparison iLinkIndex : int - _description_ + the link being changed dSetting : float - _description_ + the setting to change to iNodeIndex : int - Set to 0 for time of day or timer + the node being compared against, Set to 0 for time of day or timer dLevel : float - _description_ + the level being checked Warning - ------- - There is an error in EPANET 2.2 that sets the :param:`dLevel` to 0.0 on Macs + ------- + There is an error in EPANET 2.2 that sets the `dLevel` parameter to 0.0 on Macs regardless of the value the user passes in. This means that to use this toolkit functionality on a Mac, the user must delete and create a new control to change the level. - + """ if self._project is not None: try: self.errcode = self.ENlib.EN_setcontrol( - self._project, - ctypes.c_int(iIndex), - ctypes.c_int(iType), - ctypes.c_int(iLinkIndex), - ctypes.c_double(dSetting), - ctypes.c_int(iNodeIndex), - ctypes.c_double(dLevel) + self._project, + ctypes.c_int(iIndex), + ctypes.c_int(iType), + ctypes.c_int(iLinkIndex), + ctypes.c_double(dSetting), + ctypes.c_int(iNodeIndex), + ctypes.c_double(dLevel), ) except: self.errcode = self.ENlib.EN_setcontrol( - self._project, - ctypes.c_int(iIndex), - ctypes.c_int(iType), - ctypes.c_int(iLinkIndex), - ctypes.c_double(dSetting), - ctypes.c_int(iNodeIndex), - ctypes.c_float(dLevel) + self._project, + ctypes.c_int(iIndex), + ctypes.c_int(iType), + ctypes.c_int(iLinkIndex), + ctypes.c_double(dSetting), + ctypes.c_int(iNodeIndex), + ctypes.c_float(dLevel), ) else: self.errcode = self.ENlib.ENsetcontrol( - ctypes.c_int(iIndex), - ctypes.c_int(iType), - ctypes.c_int(iLinkIndex), - ctypes.c_double(dSetting), - ctypes.c_int(iNodeIndex), - ctypes.c_double(dLevel) + ctypes.c_int(iIndex), + ctypes.c_int(iType), + ctypes.c_int(iLinkIndex), + ctypes.c_double(dSetting), + ctypes.c_int(iNodeIndex), + ctypes.c_double(dLevel), ) self._error() def ENdeletecontrol(self, iControlIndex): - """ - Get a time parameter value + """Delete a control. Parameters ---------- iControlIndex : int - the time parameter to get - - Returns - ------- - int - the index of the new control + the simple control to delete """ - lValue = ctypes.c_long() if self._project is not None: - self.errcode = self.ENlib.EN_deletecontrol( - self._project, - ctypes.c_int(iControlIndex) - ) + self.errcode = self.ENlib.EN_deletecontrol(self._project, ctypes.c_int(iControlIndex)) else: - self.errcode = self.ENlib.ENdeletecontrol( - ctypes.c_int(iControlIndex) - ) + self.errcode = self.ENlib.ENdeletecontrol(ctypes.c_int(iControlIndex)) self._error() - return lValue.value def ENsaveinpfile(self, inpfile): """Saves EPANET input file @@ -870,7 +882,7 @@ def ENsaveinpfile(self, inpfile): Parameters ------------- inpfile : str - EPANET INP output file + EPANET INP output file """ @@ -881,4 +893,4 @@ def ENsaveinpfile(self, inpfile): self.errcode = self.ENlib.ENsaveinpfile(inpfile) self._error() - return \ No newline at end of file + return diff --git a/wntr/epanet/util.py b/wntr/epanet/util.py index ab6038276..4dc74df3c 100644 --- a/wntr/epanet/util.py +++ b/wntr/epanet/util.py @@ -1,11 +1,13 @@ """ The wntr.epanet.util module contains unit conversion utilities based on EPANET units. """ +from __future__ import annotations + import dataclasses import enum import logging from dataclasses import dataclass, field -from typing import List +from typing import List, Optional, Union, TypedDict import numpy as np import pandas as pd @@ -1387,6 +1389,15 @@ def from_si( @dataclass class ENcomment: + """A class for storing EPANET configuration file comments with objects. + + Attributes + ---------- + pre : list of str + a list of comments to put before the output of a configuration line + post : str + a single comment that is attached to the end of the line + """ pre: List[str] = field(default_factory=list) post: str = None @@ -1402,4 +1413,11 @@ def wrap_msx_string(self, string) -> str: return '\n; ' + '\n\n; '.join(self.pre) + '\n\n ' + string + ' ; ' + self.post def to_dict(self): - return dataclasses.asdict(self) \ No newline at end of file + return dataclasses.asdict(self) + +NoteType = Union[str, dict, ENcomment] +"""An object that stores EPANET compatible annotation data. + +A note (or comment) can be a string, a dictionary of the form :code:`{'pre': List[str], 'post': str}`, +or an :class:`wntr.epanet.util.ENcomment` object. +""" diff --git a/wntr/msx/__init__.py b/wntr/msx/__init__.py index 3cc6669e1..5937536fd 100644 --- a/wntr/msx/__init__.py +++ b/wntr/msx/__init__.py @@ -1,12 +1,15 @@ # -*- coding: utf-8 -*- -"""Contains definitions for water quality chemistry objects and reactions""" +"""Contains definitions for EPANET Multispecies Extension (MSX) water quality modeling. +""" # Dependencies: -# pyomo.dae -# sympy +# pyomo.dae? +# sympy? -from ..epanet.msx.exceptions import EpanetMsxException -from .base import * -from .model import * -from .options import MultispeciesOptions -from . import library +from .base import VariableType, SpeciesType, ReactionType, ExpressionType +from .elements import Species, Constant, Parameter, Term, Reaction, HydraulicVariable, MathFunction +from .model import MsxModel +from .options import MsxSolverOptions +from .library import ReactionLibrary, cite_msx + +from . import base, elements, library, model, options diff --git a/wntr/msx/base.py b/wntr/msx/base.py index 80b3b8d72..75bff8f31 100644 --- a/wntr/msx/base.py +++ b/wntr/msx/base.py @@ -5,54 +5,55 @@ and/or mixin classes, and should not be instantiated directly. """ -from abc import ABC, abstractclassmethod, abstractmethod, abstractproperty import logging -from enum import Enum, IntEnum import os -from typing import Any, Dict, Iterator, List, Union -from wntr.utils.disjoint_mapping import DisjointMapping +from abc import ABC, abstractclassmethod, abstractmethod, abstractproperty +from enum import Enum +from typing import Any, Dict, Iterator, List, Union, Generator +from wntr.epanet.util import ENcomment, NoteType +from wntr.utils.disjoint_mapping import DisjointMapping from wntr.utils.enumtools import add_get has_sympy = False try: from sympy import ( + Add, Float, - Symbol, - init_printing, - symbols, Function, + Integer, Mul, - Add, Pow, - Integer, + Symbol, + init_printing, + symbols, ) from sympy.functions import ( - cos, - sin, - tan, - cot, Abs, - sign, - sqrt, - log, - exp, - asin, + Heaviside, acos, - atan, acot, - sinh, + asin, + atan, + cos, cosh, - tanh, + cot, coth, - Heaviside, + exp, + log, + sign, + sin, + sinh, + sqrt, + tan, + tanh, ) from sympy.parsing import parse_expr from sympy.parsing.sympy_parser import ( - convert_xor, - standard_transformations, auto_number, auto_symbol, + convert_xor, + standard_transformations, ) class _log10(Function): @@ -69,22 +70,22 @@ def eval(cls, x): convert_xor = None if not has_sympy: from numpy import ( - cos, - sin, - tan, abs, - sign, - sqrt, - log, - exp, - arcsin, arccos, + arcsin, arctan, - sinh, + cos, cosh, - tanh, + exp, heaviside, + log, log10, + sign, + sin, + sinh, + sqrt, + tan, + tanh, ) def _cot(x): @@ -110,22 +111,6 @@ def _coth(x): logger = logging.getLogger(__name__) -__all__ = [ - "HYDRAULIC_VARIABLES", - "EXPR_FUNCTIONS", - "RESERVED_NAMES", - "EXPR_TRANSFORMS", - "VariableType", - "SpeciesType", - "ReactionType", - "ExpressionType", - "AbstractVariable", - "AbstractReaction", - "ReactionSystem", - "VariableValues", - "AbstractModel", -] - HYDRAULIC_VARIABLES = [ {"name": "D", "note": "pipe diameter (feet or meters) "}, { @@ -289,7 +274,7 @@ def _coth(x): """ -class AnnotatedFloat(float): +class _AnnotatedFloat(float): def __new__(self, value, note=None): return float.__new__(self, value) @@ -299,7 +284,7 @@ def __init__(self, value, note=None): @add_get(abbrev=True) -class VariableType(IntEnum): +class VariableType(Enum): """The type of reaction variable. The following types are defined, and aliases of just the first character @@ -325,13 +310,14 @@ class VariableType(IntEnum): SPECIES = 3 """A chemical or biological water quality species""" TERM = 4 - """A functional term - ie named expression - for use in reaction expressions""" + """A functional term, or named expression, for use in reaction expressions""" PARAMETER = 5 """A reaction expression coefficient that is parameterized by tank or pipe""" CONSTANT = 6 """A constant coefficient for use in reaction expressions""" RESERVED = 9 - """A 'variable' that is either a hydraulic variable or other reserved word""" + """A variable that is either a hydraulic variable or other reserved word""" + S = SPEC = SPECIES T = TERM P = PARAM = PARAMETER @@ -340,10 +326,10 @@ class VariableType(IntEnum): @add_get(abbrev=True) -class SpeciesType(IntEnum): +class SpeciesType(Enum): """The enumeration for species type. - .. warning:: These enum values are note the same as the MSX SpeciesType. + .. warning:: These enum values are not the same as the MSX SpeciesType. .. rubric:: Enum Members @@ -363,6 +349,7 @@ class SpeciesType(IntEnum): """bulk species""" WALL = 2 """wall species""" + B = BULK W = WALL @@ -420,7 +407,8 @@ class ExpressionType(Enum): EQUIL = 1 """used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero""" RATE = 2 - """used to supply the equation that expresses the rate of change of the given species with respect to time as a function of the other species in the model""" + """used to supply the equation that expresses the rate of change of the given species with respect to time as a function + of the other species in the model""" FORMULA = 3 """used when the concentration of the named species is a simple function of the remaining species""" @@ -429,23 +417,56 @@ class ExpressionType(Enum): F = FORMULA -class AbstractReaction(ABC): - def __init__(self, species_name: str, *, note=None) -> None: +class ReactionBase(ABC): + """A water quality reaction class. + + This is an abstract class for water quality reactions with partial concrete + attribute and method definitions. All parameters + and methods documented here must be defined by a subclass except for the following: + + .. rubric:: Concrete attribtues + + The :meth:`__init__` method defines the following attributes concretely. Thus, + a subclass should call :code:`super().__init__(species_name, note=note)` at the beginning of its own + initialization. + + .. autosummary:: + + ~ReactionBase._species_name + ~ReactionBase.note + + .. rubric:: Concrete properies + + The species name is protected, and a reaction cannot be manually assigned a new species. + Therefore, the following property is defined concretely. + + .. autosummary:: + + species_name + + .. rubric:: Concrete methods + + The following methods are concretely defined, but can be overridden. + + .. autosummary:: + :nosignatures: + + __str__ + __repr__ + """ + + def __init__(self, species_name: str, *, note: NoteType = None) -> None: """A water quality reaction definition. This abstract class must be subclassed. - Arguments - --------- + Parameters + ---------- species_name : str The name of the chemical or biological species being modeled using this reaction. - - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this reaction, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - + note : (str | dict | ENcomment), optional keyword + Supplementary information regarding this reaction, by default None + (see-also :class:`~wntr.epanet.util.NoteType`) Raises ------ @@ -454,60 +475,75 @@ def __init__(self, species_name: str, *, note=None) -> None: """ if species_name is None: raise TypeError("The species_name cannot be None") - self._species_name = species_name - self.note = note + self._species_name: str = str(species_name) + """The protected name of the species""" + self.note: NoteType = note + """An optional note regarding the reaction (see :class:`~wntr.epanet.util.NoteType`) + """ @property def species_name(self) -> str: + """The name of the species that has a reaction being defined.""" return self._species_name @abstractproperty def reaction_type(self) -> Enum: - """The type of reaction or where this reaction occurs.""" + """The reaction type (reaction location).""" raise NotImplementedError def __str__(self) -> str: + """Return the name of the species and the reaction type, indicated by an arrow. E.g., 'HOCL->PIPE for chlorine reaction in pipes.""" return "{}->{}".format(self.species_name, self.reaction_type.name) def __repr__(self) -> str: - return ( - "{}(".format(self.__class__.__name__) - + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) - + ")" - ) + """Return a representation of the reaction from the dictionary representation - see :meth:`to_dict`""" + return "{}(".format(self.__class__.__name__) + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) + ")" @abstractmethod def to_dict(self) -> dict: + """Represent the object as a dictionary.""" raise NotImplementedError -class AbstractVariable(ABC): +class VariableBase(ABC): """A multi-species water quality model variable. - This abstract class must be extended before use. There are several concrete classes - that inhert from this class, including - :class:`~wntr.msx.msx.Species`, - :class:`~wntr.msx.msx.Constant`, - :class:`~wntr.msx.msx.Parameter`, - and :class:`~wntr.msx.msx.Term`. - See also the :class:`~wntr.msx.msx.MultispeciesModel`, which has the functions - required to create these variables and define reactions. + This is an abstract class for water quality model variables with partial definition + of concrete attributes and methods. Parameters + and methods documented here must be defined by a subclass except for the following: + + .. rubric:: Concrete attribtues + + The :meth:`__init__` method defines the following attributes concretely. Thus, + a subclass should call :code:`super().__init__()` at the beginning of its own + initialization. + + .. autosummary:: + + ~VariableBase.name + ~VariableBase.note + + .. rubric:: Concrete methods + + The following methods are concretely defined, but can be overridden. + + .. autosummary:: + :nosignatures: + + __str__ + __repr__ """ - def __init__(self, name: str, *, note=None) -> None: + def __init__(self, name: str, *, note: NoteType = None) -> None: """Multi-species variable constructor arguments. - Arguments - --------- + Parameters + ---------- name : str The name/symbol for the variable. Must be a valid MSX variable name. - - Keyword Arguments - ----------------- - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.ENcomment` for dict structure). - As dict it can have two keys, "pre" and "post". See :class:`ENcomment` - for more details. + note : (str | dict | ENcomment), optional keyword + Supplementary information regarding this variable, by default None + (see-also :class:`~wntr.epanet.util.NoteType`) Raises ------ @@ -515,22 +551,14 @@ def __init__(self, name: str, *, note=None) -> None: the name is already taken ValueError the name is a reserved word - - - The following should only be used by model building functions, and the - user should never need to pass these arguments. - - Other Parameters - ---------------- - _vars : VariablesRegistry, optional - the variables registry object of the model this variable was added to, by default None """ if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") self.name: str = name """The name/ID of this variable, must be a valid EPANET/MSX ID""" - self.note = note - """A note related to this variable""" + self.note: NoteType = note + """An optional note regarding the variable (see :class:`~wntr.epanet.util.NoteType`) + """ @abstractproperty def var_type(self) -> Enum: @@ -543,49 +571,79 @@ def to_dict(self) -> Dict[str, Any]: raise NotImplementedError def __str__(self) -> str: + """Return the name of the variable""" return self.name def __repr__(self) -> str: - return ( - "{}(".format(self.__class__.__name__) - + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) - + ")" - ) + """Return a representation of the variable from the dictionary representation - see :meth:`to_dict`""" + return "{}(".format(self.__class__.__name__) + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) + ")" -class ReactionSystem(ABC): +class ReactionSystemBase(ABC): """Abstract class for reaction systems, which contains variables and reaction expressions. - This class contains the functions necessary to perform as a mapping view onto the - **variables** defined, by their name. + This class contains the functions necessary to perform dictionary-style + addressing of *variables* by their name. It does not allow dictionary-style + addressing of reactions. + + This is an abstract class with some concrete attributes and methods. Parameters + and methods documented here must be defined by a subclass except for the following: + + .. rubric:: Concrete attributes + + The :meth:`__init__` method defines the following attributes concretely. Thus, + a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. + + .. autosummary:: + + ~ReactionSystemBase._vars + ~ReactionSystemBase._rxns + + .. rubric:: Concrete methods + + The following special methods are concretely provided to directly access items + in the :attr:`_vars` attribute. + + .. autosummary:: + :nosignatures: + + __contains__ + __eq__ + __ne__ + __getitem__ + __iter__ + __len__ """ def __init__(self) -> None: - self._vars = DisjointMapping() - self._rxns = dict() + """The constructor for the reaction system.""" + self._vars: DisjointMapping = DisjointMapping() + """The variables registry, which is mapped to dictionary functions on the reaction system object""" + self._rxns: Dict[str, Any] = dict() + """The reactions dictionary""" @abstractmethod - def add_variable(self, obj: AbstractVariable) -> None: + def add_variable(self, obj: VariableBase) -> None: """Add a variable to the system""" raise NotImplementedError @abstractmethod - def add_reaction(self, obj: AbstractReaction) -> None: + def add_reaction(self, obj: ReactionBase) -> None: """Add a reaction to the system""" raise NotImplementedError @abstractmethod - def variables(self): + def variables(self) -> Generator[Any, Any, Any]: """A generator looping through all variables""" raise NotImplementedError @abstractmethod - def reactions(self): + def reactions(self) -> Generator[Any, Any, Any]: """A generator looping through all reactions""" raise NotImplementedError @abstractmethod - def to_dict(self): + def to_dict(self) -> dict: """Represent the reaction system as a dictionary""" raise NotImplementedError @@ -598,7 +656,7 @@ def __eq__(self, __value: object) -> bool: def __ne__(self, __value: object) -> bool: return self._vars.__ne__(__value) - def __getitem__(self, __key: str) -> AbstractVariable: + def __getitem__(self, __key: str) -> VariableBase: return self._vars.__getitem__(__key) def __iter__(self) -> Iterator: @@ -608,61 +666,118 @@ def __len__(self) -> int: return self._vars.__len__() -class VariableValues(ABC): - """Abstract class for a variable's network-specific values.""" +class VariableValuesBase(ABC): + """Abstract class for a variable's network-specific values. + + This class should contain values for different pipes, tanks, + etc., that correspond to a specific network for the reaction + system. It can be used for intial concentration values, or + for initial settings on parameters, but should be information + that is clearly tied to a specific type of variable. + + This is a pure abstract class. All parameters + and methods documented here must be defined by a subclass. + """ @abstractproperty def var_type(self) -> Enum: - """Define what type of variable this network-specific data is for""" + """The type of variable this object holds data for.""" raise NotImplementedError @abstractmethod def to_dict(self) -> dict: - """Represent the variable's network-specific values as a dictionary""" + """Represent a specific variable's network-specific values as a dictionary. + + Returns + ------- + dict + the network-specific values for a specific variable + """ raise NotImplementedError -class NetworkData(ABC): +class NetworkDataBase(ABC): """Abstract class containing network specific data. - + This class should be populated with things like initial quality, sources, parameterized values, etc. + + This is a pure abstract class. All parameters + and methods documented here must be defined by a subclass. """ @abstractmethod def to_dict(self) -> dict: - """Represent the network specific data as a dictionary""" + """Represent the quality-relevant network-specific data as a dictionary. + + Returns + ------- + dict + the quality-relevant network data + """ raise NotImplementedError -class AbstractModel(ABC): - """Abstract water quality model.""" +class QualityModelBase(ABC): + """Abstract water quality model. + + This is an abstract class for a water quality model. All parameters + and methods documented here must be defined by a subclass except for the following: + + .. rubric:: Concrete attributes + + The :meth:`__init__` method defines the following attributes concretely. Thus, + a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. + + .. autosummary:: + + ~QualityModelBase.name + ~QualityModelBase.title + ~QualityModelBase.description + ~QualityModelBase._orig_file + ~QualityModelBase._options + ~QualityModelBase._rxn_system + ~QualityModelBase._net_data + ~QualityModelBase._wn + """ def __init__(self, filename=None): + """Abstract water quality model. + + Parameters + ---------- + filename : str, optional + the file to use to populate the initial data + """ self.name: str = None if filename is None else os.path.splitext(os.path.split(filename)[1])[0] """A name for the model, or the MSX model filename (no spaces allowed)""" self.title: str = None """The title line from the MSX file, must be a single line""" self.description: str = None - """A longer description, note that multi-line descriptions may not be - represented well in dictionary form.""" + """A longer description; note that multi-line descriptions may not be + represented well in dictionary form""" self._orig_file: str = filename + """The protected original filename, if provided in the constructor""" self._options = None - self._rxn_system: ReactionSystem = None - self._net_data: NetworkData = None + """The protected options data object""" + self._rxn_system: ReactionSystemBase = None + """The protected reaction system object""" + self._net_data: NetworkDataBase = None + """The protected network data object""" self._wn = None + """The protected water network object""" @abstractproperty def options(self): """The model options structure. - Concrete classes should implement this with the appropriate typeing and + Concrete classes should implement this with the appropriate typing and also implement a setter method. """ raise NotImplementedError @abstractproperty - def reaction_system(self) -> ReactionSystem: + def reaction_system(self) -> ReactionSystemBase: """The reaction variables defined for this model. Concrete classes should implement this with the appropriate typing. @@ -670,7 +785,7 @@ def reaction_system(self) -> ReactionSystem: raise NotImplementedError @abstractproperty - def network_data(self) -> NetworkData: + def network_data(self) -> NetworkDataBase: """The network-specific values added to this model. Concrete classes should implement this with the appropriate typing. @@ -679,10 +794,27 @@ def network_data(self) -> NetworkData: @abstractmethod def to_dict(self) -> dict: - """Represent the model as a dictionary.""" + """Represent the model as a dictionary. + + Returns + ------- + dict + A dictionary representation of a water quality model + """ raise NotImplementedError @abstractclassmethod - def from_dict(self, data: dict) -> "AbstractModel": - """Create a new model from a dictionary.""" + def from_dict(self, data: dict) -> "QualityModelBase": + """Create a new model from a dictionary. + + Parameters + ---------- + data : dict + A dictionary representation of a water quality model + + Returns + ------- + QualityModelBase + the new concrete water quality model + """ raise NotImplementedError diff --git a/wntr/msx/elements.py b/wntr/msx/elements.py index b3be0a463..0ae9794f5 100644 --- a/wntr/msx/elements.py +++ b/wntr/msx/elements.py @@ -1,32 +1,24 @@ # -*- coding: utf-8 -*- -"""Water quality model implementations. +"""Concrete implementations of MSX classes. """ - +from __future__ import annotations import logging +from typing import Any, Dict, Literal, Tuple, Union -from typing import ( - Any, - Callable, - Dict, - Literal, - Tuple, - Union, -) - -from wntr.epanet.util import ENcomment +from wntr.epanet.util import ENcomment, NoteType from wntr.utils.disjoint_mapping import KeyExistsError from .base import ( - VariableValues, - AbstractReaction, - ReactionSystem, - AbstractVariable, ExpressionType, ReactionType, - VariableType, SpeciesType, + VariableType, + VariableBase, + VariableValuesBase, + ReactionBase, + ReactionSystemBase, ) has_sympy = False @@ -46,50 +38,9 @@ logger = logging.getLogger(__name__) -__all__ = [ - 'Species', - 'Constant', - 'Parameter', - 'Term', - 'ReservedName', - 'HydraulicVariable', - 'MathFunction', - 'Reaction' -] - -class Species(AbstractVariable): +class Species(VariableBase): """A biological or chemical species that impacts water quality. - - .. rubric:: Attributes - - .. autosummary:: - - ~Species.name - ~Species.species_type - ~Species.units - ~Species.note - ~Species.diffusivity - - .. rubric:: Methods - - .. autosummary:: - - ~Species.set_tolerances - ~Species.get_tolerances - ~Species.clear_tolerances - ~Species.to_dict - - .. rubric:: Read-only Attributes - - .. autosummary:: - - ~Species.atol - ~Species.rtol - ~Species.initial_quality - ~Species.pipe_reaction - ~Species.tank_reaction - """ def __init__( @@ -100,35 +51,33 @@ def __init__( atol: float = None, rtol: float = None, *, - note: Union[str, dict, ENcomment]=None, + note: NoteType = None, diffusivity: float = None, - _vars: ReactionSystem = None, - _vals: VariableValues = None, + _vars: ReactionSystemBase = None, + _vals: VariableValuesBase = None, ) -> None: """A biological or chemical species. Parameters ---------- - name : str + name The species name - species_type : SpeciesType or str + species_type The species type - units : str + units The units of mass for this species, see :attr:`units` property. - atol : float, optional, requires rtol + atol : float | None The absolute tolerance when solving this species' equations, by default None - rtol : float, optional, requires atol + rtol : float | None The relative tolerance when solving this species' equations, by default None - note : str or dict or ENcomment, optional + note Supplementary information regarding this variable, by default None - diffusivity : float, optional + (see :class:`~wntr.epanet.util.NoteType`) + diffusivity Diffusivity of the species in water, by default None - - Other Parameters - ---------------- - _vars : MsxReactionSystem, optional + _vars the reaction system this species is a part of, by default None - _vals : InitialQuality, optional + _vals the initial quality values for this species, by default None Raises @@ -136,10 +85,18 @@ def __init__( KeyExistsError if the name has already been used TypeError - if a tank reaction is provided for a wall species + if `atol` and `rtol` are not the same type + ValueError + if `atol` or `rtol` ≤ 0 + + Notes + ----- + EPANET-MSX requires that `atol` and `rtol` either both be omitted, or both be provided. + In order to enforce this, the arguments passed for `atol` and `rtol` must both be None + or both be positive values. """ super().__init__(name, note=note) - if _vars is not None and not isinstance(_vars, ReactionSystem): + if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) if _vals is not None and not isinstance(_vals, InitialQuality): raise TypeError("Invalid type for _vals, {}".format(type(_vals))) @@ -148,8 +105,8 @@ def __init__( species_type = SpeciesType.get(species_type) if species_type is None: raise TypeError("species_type cannot be None") - self._species_type = species_type - self._tolerances = None + self._species_type: SpeciesType = species_type + self._tolerances: Tuple[float, float] = None self.set_tolerances(atol, rtol) self.units: str = units """The units of mass for this species. @@ -158,8 +115,8 @@ def __init__( """ self.diffusivity: float = diffusivity """The diffusivity of this species in water, if being used, by default None""" - self._vars = _vars - self._vals = _vals + self._vars: ReactionSystemBase = _vars + self._vals: InitialQuality = _vals def set_tolerances(self, atol: float, rtol: float): """Set the absolute and relative tolerance for the solvers. @@ -169,9 +126,9 @@ def set_tolerances(self, atol: float, rtol: float): Parameters ---------- - atol : float + atol The absolute tolerance to use - rtol : float + rtol The relative tolerance to use Raises @@ -179,7 +136,7 @@ def set_tolerances(self, atol: float, rtol: float): TypeError if only one of `atol` or `rtol` is a float ValueError - if either value is less-than-or-equal-to zero + if `atol` or `rtol` ≤ 0 """ if (self.atol is None) ^ (self.rtol is None): raise TypeError("atol and rtol must both be float or both be None") @@ -195,7 +152,7 @@ def get_tolerances(self) -> Union[Tuple[float, float], None]: Returns ------- - Union[Tuple[float, float], None] + (atol, rtol) : (float, float) or None absolute and relative tolerances, respectively, if they are set """ return self._tolerances @@ -220,16 +177,16 @@ def rtol(self) -> float: @property def var_type(self) -> VariableType: - """This is a species""" + """The type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`.""" return VariableType.SPECIES @property def species_type(self) -> SpeciesType: - """The type of species""" + """The type of species, either :attr:`~wntr.msx.base.SpeciesType.BULK` or :attr:`~wntr.msx.base.SpeciesType.WALL`""" return self._species_type @property - def initial_quality(self): + def initial_quality(self) -> 'InitialQuality': """If a specific network has been linked, then the initial quality values for the network""" if self._vals is not None: return self._vals @@ -237,18 +194,20 @@ def initial_quality(self): raise TypeError("This species is not linked to a NetworkData obejct, please `relink` your model") @property - def pipe_reaction(self): + def pipe_reaction(self) -> 'Reaction': + """The pipe reaction definition""" if self._vars is not None: return self._vars.pipe_reactions[self.name] else: - raise AttributeError('This species is not connected to a ReactionSystem') + raise AttributeError("This species is not connected to a ReactionSystem") @property - def tank_reaction(self): + def tank_reaction(self) -> 'Reaction': + """The tank reaction definition""" if self._vars is not None: return self._vars.tank_reactions[self.name] else: - raise AttributeError('This species is not connected to a ReactionSystem') + raise AttributeError("This species is not connected to a ReactionSystem") def to_dict(self) -> Dict[str, Any]: """Create a dictionary representation of the object @@ -291,9 +250,7 @@ def to_dict(self) -> Dict[str, Any]: } """ - ret = dict( - name=self.name, species_type=self.species_type.name.lower(), units=self.units, atol=self.atol, rtol=self.rtol - ) + ret = dict(name=self.name, species_type=self.species_type.name.lower(), units=self.units, atol=self.atol, rtol=self.rtol) if self.diffusivity: ret["diffusivity"] = self.diffusivity @@ -306,45 +263,42 @@ def to_dict(self) -> Dict[str, Any]: return ret -class Constant(AbstractVariable): +class Constant(VariableBase): """A constant coefficient for use in reaction expressions.""" - def __init__(self, name: str, value: float, *, units: str = None, note: Union[str, dict, ENcomment]=None, _vars: ReactionSystem = None) -> None: + def __init__(self, name: str, value: float, *, units: str = None, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None) -> None: """A variable representing a constant value. Parameters ---------- - name : str + name The name of the variable. - value : float + value The constant value. - units : str, optional + units Units for the variable, by default None - note : str or dict or ENcomment, optional + note Supplementary information regarding this variable, by default None - - Other Parameters - ---------------- - _vars : MsxReactionSystem, optional + _vars the reaction system this constant is a part of, by default None """ super().__init__(name, note=note) - if _vars is not None and not isinstance(_vars, ReactionSystem): + if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) if _vars is not None and name in _vars: raise KeyExistsError("This variable name is already taken") - self.value = float(value) + self.value: float = float(value) """The value of the constant""" - self.units = units + self.units: str = units """The units of the constant""" - self._vars = _vars + self._vars: ReactionSystemBase = _vars def __call__(self, *, t=None) -> Any: return self.value @property def var_type(self) -> VariableType: - """This is a constant coefficient.""" + """The type of variable, :attr:`~wntr.msx.base.VariableType.CONSTANT`.""" return VariableType.CONSTANT def to_dict(self) -> Dict[str, Any]: @@ -358,43 +312,68 @@ def to_dict(self) -> Dict[str, Any]: return ret -class Parameter(AbstractVariable): +class Parameter(VariableBase): """A coefficient that is parameterized by pipe/tank.""" - def __init__(self, name: str, global_value: float, *, units: str = None, note: Union[str, dict, ENcomment]=None, _vars: ReactionSystem = None, _vals: VariableValues=None) -> None: + def __init__( + self, name: str, global_value: float, *, units: str = None, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None, _vals: VariableValuesBase = None + ) -> None: """A parameterized variable for use in expressions. Parameters ---------- - name : str + name The name of this parameter. - global_value : float + global_value The global value for the parameter if otherwise unspecified. - units : str, optional + units The units for this parameter, by default None - note : str or dict or ENcomment, optional + note Supplementary information regarding this variable, by default None - - Other Parameters - ---------------- - _vars : MsxReactionSystem, optional + _vars the reaction system this parameter is a part of, by default None - _vals : ParameterValues, optional + _vals the netork-specific values for this parameter, by default None """ super().__init__(name, note=note) - if _vars is not None and not isinstance(_vars, ReactionSystem): + if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) if _vals is not None and not isinstance(_vals, ParameterValues): raise TypeError("Invalid type for _vals, {}".format(type(_vals))) if _vars is not None and name in _vars: raise KeyExistsError("This variable name is already taken") - self.global_value = float(global_value) - self.units = units - self._vars = _vars - self._vals = _vals + self.global_value: float = float(global_value) + self.units: str = units + self._vars: ReactionSystemBase = _vars + self._vals: ParameterValues = _vals + + def __call__(self, *, pipe: str = None, tank: str = None) -> float: + """Get the value of the parameter for a given pipe or tank. - def __call__(self, *, t=None, pipe: float = None, tank: float = None) -> Any: + If there is no specific, different value for the requested pipe + or tank, then the global value will be returned. *This is true even* + *if the pipe or tank does not exist in the network, so caution is* + *advised*. + + Parameters + ---------- + pipe + the name of a pipe to get the parameter value for, by default None + tank + the name of a pipe to get the parameter value for, by default None + + Returns + ------- + float + the value at the specified pipe or tank, or the global value + + Raises + ------ + TypeError + if both pipe and tank are specified + ValueError + if there is no ParameterValues object defined for and linked to this parameter + """ if pipe is not None and tank is not None: raise TypeError("Both pipe and tank cannot be specified at the same time") elif self._vals is None and (pipe is not None or tank is not None): @@ -407,7 +386,7 @@ def __call__(self, *, t=None, pipe: float = None, tank: float = None) -> Any: @property def var_type(self) -> VariableType: - """This is a parameterized coefficient.""" + """The type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`.""" return VariableType.PARAMETER def to_dict(self) -> Dict[str, Any]: @@ -421,36 +400,35 @@ def to_dict(self) -> Dict[str, Any]: return ret -class Term(AbstractVariable): - def __init__(self, name: str, expression: str, *, note: Union[str, dict, ENcomment]=None, _vars: ReactionSystem = None) -> None: +class Term(VariableBase): + """A named expression that can be used as a term in other expressions.""" + + def __init__(self, name: str, expression: str, *, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None) -> None: """A named expression that can be used as a term in other expressions. Parameters ---------- - name : str + name The variable name. - expression : str + expression The mathematical expression to be aliased - note : str or dict or ENcomment, optional + note Supplementary information regarding this variable, by default None - - Other Parameters - ---------------- - _vars : MsxReactionSystem, optional + _vars the reaction system this species is a part of, by default None """ super().__init__(name, note=note) - if _vars is not None and not isinstance(_vars, ReactionSystem): + if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) if _vars is not None and name in _vars: raise KeyExistsError("This variable name is already taken") - self.expression = expression + self.expression: str = expression """The expression that is aliased by this term""" - self._vars = _vars + self._vars: ReactionSystemBase = _vars @property def var_type(self) -> VariableType: - """This is a term (named expression).""" + """The type of variable, :attr:`~wntr.msx.base.VariableType.TERM`.""" return VariableType.TERM def to_dict(self) -> Dict[str, Any]: @@ -462,43 +440,40 @@ def to_dict(self) -> Dict[str, Any]: return ret -class ReservedName(AbstractVariable): - def __init__(self, name: str, *, note: Union[str, dict, ENcomment]=None) -> None: +class ReservedName(VariableBase): + """An object representing a reserved name that should not be used by the user.""" + + def __init__(self, name: str, *, note: Union[str, dict, ENcomment] = None) -> None: """An object representing a reserved name that should not be used by the user. Parameters ---------- - name : str + name The reserved name. - note : str or dict or ENcomment, optional + note Supplementary information regarding this variable, by default None - Other Parameters - ---------------- - _vars : MsxReactionSystem, optional - the reaction system this species is a part of, by default None - Raises ------ KeyExistsError - _description_ + if the name has already been registered """ - self.name = name - self.note = note + self.name: str = name + self.note: Union[str, dict, ENcomment] = note @property def var_type(self) -> VariableType: - """Variable name is a reserved word in MSX""" + """The type of variable, :attr:`~wntr.msx.base.VariableType.RESERVED`.""" return VariableType.RESERVED def to_dict(self) -> Dict[str, Any]: - return '{}({})'.format(self.__class__.__name__, ', '.join(['name={}'.format(repr(self.name)), 'note={}'.format(repr(self.note))])) + return "{}({})".format(self.__class__.__name__, ", ".join(["name={}".format(repr(self.name)), "note={}".format(repr(self.note))])) class HydraulicVariable(ReservedName): """A variable representing instantaneous hydraulics data.""" - def __init__(self, name: str, units: str = None, *, note: Union[str, dict, ENcomment]=None) -> None: + def __init__(self, name: str, units: str = None, *, note: Union[str, dict, ENcomment] = None) -> None: """A variable representing instantaneous hydraulics data. The user should not need to create any variables using this class, they @@ -506,69 +481,74 @@ def __init__(self, name: str, units: str = None, *, note: Union[str, dict, ENcom Parameters ---------- - name : str + name The name of the variable (predefined by MSX) - units : str, optional + units The units for hydraulic variable, by default None - note : str or dict or ENcomment, optional + note Supplementary information regarding this variable, by default None """ super().__init__(name, note=note) - self.units = units + self.units: str = units """The hydraulic variable's units""" class MathFunction(ReservedName): """A variable that is actually a mathematical function defined by MSX.""" - def __init__(self, name: str, func: Callable, *, note: Union[str, dict, ENcomment]=None) -> None: + def __init__(self, name: str, func: callable, *, note: Union[str, dict, ENcomment] = None) -> None: """A variable that is actually a mathematical function defined by MSX. Parameters ---------- - name : str + name The function name - func : Callable + func The callable function - note : str or dict or ENcomment, optional + note Supplementary information regarding this variable, by default None """ super().__init__(name, note=note) - self.func = func + self.func: callable = func """A callable function or SymPy function""" def __call__(self, *args: Any, **kwds: Any) -> Any: + """Evaluate the function using any specified args and kwds.""" return self.func(*args, **kwds) -class Reaction(AbstractReaction): +class Reaction(ReactionBase): """A water quality biochemical reaction dynamics definition for a specific species.""" def __init__( - self, species_name: str, reaction_type: ReactionType, expression_type: ExpressionType, expression: str, *, note: Union[str, dict, ENcomment]=None, _vars: ReactionSystem = None + self, + species_name: str, + reaction_type: ReactionType, + expression_type: ExpressionType, + expression: str, + *, + note: Union[str, dict, ENcomment] = None, + _vars: ReactionSystemBase = None, ) -> None: """A water quality biochemical reaction dynamics definition for a specific species. Parameters ---------- - species_name : str + species_name The species (object or name) this reaction is applicable to. - reaction_type : ReactionType + reaction_type The type of reaction, either PIPE or TANK - expression_type : ExpressionType + expression_type The type of reaction dynamics being described by the expression: one of RATE, FORMULA, or EQUIL. - expression : str + expression The mathematical expression for the right-hand-side of the reaction equation. - note : str or dict or ENcomment, optional + note Supplementary information regarding this variable, by default None - - Other Parameters - ---------------- - _vars : MsxReactionSystem, optional + _vars the reaction system this species is a part of, by default None """ super().__init__(species_name=species_name, note=note) - if _vars is not None and not isinstance(_vars, ReactionSystem): + if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) expression_type = ExpressionType.get(expression_type) reaction_type = ReactionType.get(reaction_type) @@ -576,28 +556,26 @@ def __init__( raise TypeError("Required argument reaction_type cannot be None") if expression_type is None: raise TypeError("Required argument expression_type cannot be None") - self.__rxn_type = reaction_type - self._expr_type = expression_type + self.__rxn_type: ReactionType = reaction_type + self._expr_type: ExpressionType = expression_type if not expression: raise TypeError("expression cannot be None") - self.expression = expression + self.expression: str = expression """The mathematical expression (right-hand-side)""" - self._vars = _vars + self._vars: ReactionSystemBase = _vars @property def expression_type(self) -> ExpressionType: - """The type of dynamics being described: RATE, EQUIL or FORMULA""" + """The expression type (left-hand-side), either :attr:`~wntr.msx.base.ExpressionType.RATE`, :attr:`~wntr.msx.base.ExpressionType.EQUIL`, or :attr:`~wntr.msx.base.ExpressionType.FORMULA`""" return self._expr_type @property def reaction_type(self) -> ReactionType: - """The type (i.e., location) of reaction: will be PIPE or TANK""" + """The reaction type (reaction location), either :attr:`~wntr.msx.base.ReactionType.PIPE` or :attr:`~wntr.msx.base.ReactionType.TANK`""" return self.__rxn_type def to_dict(self) -> dict: - ret = dict( - species_name=str(self.species_name), expression_type=self.expression_type.name.lower(), expression=self.expression - ) + ret = dict(species_name=str(self.species_name), expression_type=self.expression_type.name.lower(), expression=self.expression) if isinstance(self.note, ENcomment): ret["note"] = self.note.to_dict() elif isinstance(self.note, (str, dict, list)): @@ -605,26 +583,23 @@ def to_dict(self) -> dict: return ret -class InitialQuality(VariableValues): +class InitialQuality(VariableValuesBase): """A container for initial quality values for a species in a specific network.""" def __init__(self, global_value: float = 0.0, node_values: dict = None, link_values: dict = None): """The initial quality values for a species. - Arguments - --------- - global_value : float, optional - _description_, by default 0.0 - node_values : dict[str, float], optional - _description_, by default None - link_values : dict[str, float], optional - _description_, by default None + Parameters + ---------- + global_value + the global initial quality value, by default 0.0 + node_values + any different initial quality values for specific nodes, by default None + link_values + any different initial quality values for specific links, by default None """ self.global_value = global_value - """The global initial quality for this species. - - Will be set to 0.0 when not explicitly specified, and can be overridden for - specific nodes and links using the other members of this class.""" + """The global initial quality values for this species.""" self._node_values = node_values if node_values is not None else dict() self._link_values = link_values if link_values is not None else dict() @@ -635,7 +610,7 @@ def __repr__(self) -> str: @property def var_type(self) -> VariableType: - """This is data for a species""" + """The type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`, this object holds data for.""" return VariableType.SPECIES @property @@ -652,30 +627,28 @@ def to_dict(self) -> Dict[str, Dict[str, float]]: return dict(global_value=self.global_value, node_values=self._node_values.copy(), link_values=self._link_values.copy()) -class ParameterValues(VariableValues): +class ParameterValues(VariableValuesBase): """A container for pipe and tank specific values of a parameter for a specific network.""" def __init__(self, *, pipe_values: dict = None, tank_values: dict = None) -> None: """The non-global values for a parameter. - Arguments - --------- - pipe_values : dict, optional - _description_, by default None - tank_values : dict, optional - _description_, by default None + Parameters + ---------- + pipe_values + any different values for this parameter for specific pipes, by default None + tank_values + any different values for this parameter for specific tanks, by default None """ self._pipe_values = pipe_values if pipe_values is not None else dict() self._tank_values = tank_values if tank_values is not None else dict() def __repr__(self) -> str: - return self.__class__.__name__ + "(pipe_values=<{} entries>, tank_values=<{} entries>)".format( - len(self._pipe_values), len(self._tank_values) - ) + return self.__class__.__name__ + "(pipe_values=<{} entries>, tank_values=<{} entries>)".format(len(self._pipe_values), len(self._tank_values)) @property def var_type(self) -> VariableType: - """This is data for a parameter""" + """The type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`, this object holds data for.""" return VariableType.PARAMETER @property @@ -690,4 +663,3 @@ def tank_values(self) -> Dict[str, float]: def to_dict(self) -> Dict[str, Dict[str, float]]: return dict(pipe_values=self._pipe_values.copy(), tank_values=self._tank_values.copy()) - diff --git a/wntr/msx/library.py b/wntr/msx/library.py index 9e9d4bcb6..76f00a173 100644 --- a/wntr/msx/library.py +++ b/wntr/msx/library.py @@ -1,8 +1,6 @@ # -*- coding: utf-8 -*- -# @Contributors: -# Jonathan Burkhardt, U.S. Environmental Protection Agency, Office of Research and Development -r"""A library of common multispecies reactions. +r"""A library of common MSX reactions. .. rubric:: Environment Variable @@ -13,19 +11,19 @@ path to search for quality model files, (files with an ".msx", ".yaml", or ".json" file extension). Multiple folders should be separated using the "``;``" character. - See :class:`~wntr.msx.library.ReactionLibrary` for more details. - + See :class:`~wntr.msx.library.ReactionLibrary` for more details. """ +from __future__ import annotations +import json import logging import os from typing import Any, ItemsView, Iterator, KeysView, List, Tuple, Union, ValuesView + from pkg_resources import resource_filename +from .base import ExpressionType, ReactionType, SpeciesType from .model import MsxModel -from .base import ReactionType, SpeciesType, ExpressionType - -import json try: import yaml @@ -49,10 +47,10 @@ def cite_msx() -> dict: """A citation generator for the EPANET-MSX user guide. - References - ---------- - [SRU23]_ Shang, F. and Rossman, L.A. and Uber, J.G. (2023) "EPANET-MSX 2.0 User Manual". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199. - + Returns + ------- + str + Shang, F. and Rossman, L.A. and Uber, J.G. (2023) "EPANET-MSX 2.0 User Manual". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199. """ return 'Shang, F. and Rossman, L.A. and Uber, J.G. (2023) "EPANET-MSX 2.0 User Manual". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199.' # return dict( @@ -75,9 +73,7 @@ class ReactionLibrary: This object can be accessed and treated like a dictionary, where keys are the model names and the values are the model objects. - The initialization sets up a list of paths, but *will not* - automatically read the files in them (use :meth:`load_all` for this). - The paths are added in the following order: + Paths are added/processed in the following order: 1. the builtin directory of reactions, 2. any paths specified in the environment variable described below, with directories listed @@ -85,9 +81,7 @@ class ReactionLibrary: 3. any extra paths specified in the constructor, searched in the order provided. Once created, the library paths cannot be modified. However, a model can be added - to the library using the :meth:`add_model_from_file` or :meth:`add_models_from_dir` - methods. The precedence of the directories can be reversed based on the ``duplicates`` - argument passed to these functions. + to the library using :meth:`add_model_from_file` or :meth:`add_models_from_dir`. """ def __init__(self, extra_paths: List[str] = None, include_builtins=True, include_envvar_paths=True, load=True) -> None: @@ -95,17 +89,17 @@ def __init__(self, extra_paths: List[str] = None, include_builtins=True, include Parameters ---------- - extra_paths : List[str], optional - _description_, by default None + extra_paths : list of str, optional + user-specified list of reaction library directories, by default None include_builtins : bool, optional load files built-in with wntr, by default True include_envvar_paths : bool, optional load files from the paths specified in :envvar:`WNTR_RXN_LIBRARY_PATH`, by default True - load : bool, optional - load the files immediately on creation, by default True + load : bool or str, optional + load the files immediately on creation, by default True. - If this is a string, then it will be passed as the `duplicates` argument - to the load function. See :meth:`reset_and_reload` for more details. + If a string, then it will be passed as the `duplicates` argument + to the load function. See :meth:`reset_and_reload` for details. Raises ------ @@ -144,9 +138,7 @@ def __init__(self, extra_paths: List[str] = None, include_builtins=True, include def __repr__(self) -> str: if len(self.__library_paths) > 3: - return "{}(initial_paths=[{}, ..., {}])".format( - self.__class__.__name__, repr(self.__library_paths[0]), repr(self.__library_paths[-1]) - ) + return "{}(initial_paths=[{}, ..., {}])".format(self.__class__.__name__, repr(self.__library_paths[0]), repr(self.__library_paths[-1])) return "{}({})".format(self.__class__.__name__, repr(self.__library_paths)) def path_list(self) -> List[str]: @@ -154,7 +146,7 @@ def path_list(self) -> List[str]: Returns ------- - List[str] + list of str a copy of the paths used to **initially** populate this library """ return self.__library_paths.copy() @@ -167,25 +159,30 @@ def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, An The ``duplicates`` argument specifies how models that have the same name, or that have the same filename if a name isn't specified in the file, - are handled. This effectively changes the priority of the library's data - directories specified during library creation. - **Warning**, if two files in the same directory have models + are handled. **Warning**, if two files in the same directory have models with the same name, there is no guarantee which will be read in first. + The first directory processed is the builtin library data. Next, any + paths specified in the environment variable are searched in the order listed + in the variable. Finally, any directories specified by the user in the + constructor are processed in the order listed. + Parameters ---------- duplicates : {"error" | "skip" | "replace"}, optional - how to handle models with the same name, by default ``"error"``. - - A value of of ``"error"`` raises an exception and stops execution. A value of ``"skip"`` will - skip models with the same `name` as a model that already exists in the - library (prioritizing directories as described in the :class:`ReactionLibrary` - documentation). A value of ``"replace"`` will replace any existing model - with a model that is read in that has the same `name` (effecitvely, this - reverses the precedence of the library's configured directories by - prioritizing models in the last - user-specified directories, then models in the paths in envvar in reverse order, if - applicable, and giving lowest priority to builtin models). + by default ``"error"`` + + - A value of of ``"error"`` raises an exception and stops execution. + - A value of ``"skip"`` will skip models with the same `name` as a model that already + exists in the library. + - A value of ``"replace"`` will replace any existing model with a model that is read + in that has the same `name`. + + Returns + ------- + (filename, reason, obj) : (str, str, Any) + the file not read in, the cause of the problem, and the object that was skipped/overwritten + or the exception raised Raises ------ @@ -197,16 +194,6 @@ def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, An if `path_to_folder` is not a directory KeyError if `duplicates` is ``"error"`` and two models have the same name - - Returns - ------- - List[Tuple[str, str, Any]] - files that caused problems, with tuple elements: - - 0. the full path to the file that caused a problem; - 1. the reason for the problem; - 2. the model that was *not* included, or was removed, - or the exception that was raised when trying to read the file """ if duplicates and not isinstance(duplicates, str): raise TypeError("The `duplicates` argument must be None or a string") @@ -229,18 +216,24 @@ def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> Li are handled. **Warning**, if two files in the same directory have models with the same name, there is no guarantee which will be read in first. - Parameters ---------- path_to_dir : str the path to the folder to search duplicates : {"error", "skip", "replace"}, optional - how to handle models with the same name, by default ``"error"`` + by default ``"error"`` - A value of of ``"error"`` raises an exception and stops execution. A value - of ``"skip"`` will skip models with the same `name` as a model that already - exists in the library. A value of ``"replace"`` will replace any existing model - with a model that is read in that has the same `name`. + - A value of of ``"error"`` raises an exception and stops execution. + - A value of ``"skip"`` will skip models with the same `name` as a model that already + exists in the library. + - A value of ``"replace"`` will replace any existing model with a model that is read + in that has the same `name`. + + Returns + ------- + (filename, reason, obj) : tuple[str, str, Any] + the file not read in, the cause of the problem, and the object that was skipped/overwritten + or the exception raised Raises ------ @@ -252,15 +245,6 @@ def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> Li if `path_to_folder` is not a directory KeyError if `duplicates` is ``"error"`` and two models have the same name - - Returns - ------- - str - the full path to the file that caused a problem; - str - the reason for the problem; - object - the model that was not included, was removed, or the exception raised """ if duplicates and not isinstance(duplicates, str): raise TypeError("The `duplicates` argument must be None or a string") @@ -312,11 +296,7 @@ def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> Li else: # this name exists in the library name = new.name if not duplicates or duplicates.lower() == "error": - raise KeyError( - 'A model named "{}" already exists in the model; failed processing "{}"'.format( - new.name, os.path.join(folder, file) - ) - ) + raise KeyError('A model named "{}" already exists in the model; failed processing "{}"'.format(new.name, os.path.join(folder, file))) elif duplicates.lower() == "skip": load_errors.append((new._orig_file, "skipped", new)) continue @@ -338,10 +318,10 @@ def add_model_from_file(self, path_and_filename: str, name: str = None): Parameters ---------- path_to_file : str - The full path **and** filename where the model is described. - name : str + The full path and filename where the model is described. + name : str, optional The name to use for the model instead of the name provided in the - file or the filename. + file or the filename, by default None """ if not os.path.isfile(path_and_filename): raise IOError("The following path does not identify a file, {}".format(path_and_filename)) @@ -369,7 +349,7 @@ def add_model_from_file(self, path_and_filename: str, name: str = None): self.__data[new.name] = new def get_model(self, name: str) -> MsxModel: - """Get a reaction model from the library by model name + """Get a reaction model from the library by model name. Parameters ---------- @@ -378,13 +358,19 @@ def get_model(self, name: str) -> MsxModel: Returns ------- - MultispeciesQualityModel - the model + MsxModel + the model object """ return self.__data[name] def model_name_list(self) -> List[str]: - """Get a list of model names in the library""" + """Get the names of all models in the library. + + Returns + ------- + list of str + list of model names + """ return list(self.keys()) def __getitem__(self, __key: Any) -> Any: diff --git a/wntr/msx/model.py b/wntr/msx/model.py index 18d6343ad..788f925cb 100644 --- a/wntr/msx/model.py +++ b/wntr/msx/model.py @@ -1,35 +1,31 @@ # -*- coding: utf-8 -*- -"""Water quality model implementations. +"""The WNTR MSX model. """ +from __future__ import annotations import logging - -from typing import ( - Any, - Dict, - List, - Union, -) import warnings +from typing import Any, Dict, Generator, List, NewType, Union +from wntr.epanet.util import ENcomment, NoteType - -from wntr.msx.elements import Constant, HydraulicVariable, InitialQuality, MathFunction, Parameter, ParameterValues, Reaction, Species, Term from wntr.utils.disjoint_mapping import KeyExistsError + from .base import ( - NetworkData, - AbstractModel, - AbstractReaction, - ReactionSystem, - AbstractVariable, - HYDRAULIC_VARIABLES, EXPR_FUNCTIONS, + HYDRAULIC_VARIABLES, + QualityModelBase, + ReactionBase, + NetworkDataBase, + ReactionSystemBase, + VariableBase, ExpressionType, ReactionType, - VariableType, SpeciesType, + VariableType, ) -from .options import MultispeciesOptions +from .elements import Constant, HydraulicVariable, InitialQuality, MathFunction, Parameter, ParameterValues, Reaction, Species, Term +from .options import MsxSolverOptions has_sympy = False try: @@ -48,18 +44,14 @@ logger = logging.getLogger(__name__) -__all__ = [ - "MsxNetworkData", - "MsxReactionSystem", - "MsxModel", -] +MsxVariable = Union[Constant, HydraulicVariable, MathFunction, Parameter, Species, Term] +"""A class that is a valid MSX variable class""" -class MsxReactionSystem(ReactionSystem): +class MsxReactionSystem(ReactionSystemBase): """A registry for all the variables registered in the multispecies reactions model. - This object can be used like an immutable mapping, with the ``__len__``, ``__getitem__``, - ``__iter__``, ``__contains__``, ``__eq__`` and ``__ne__`` functions being defined. + This object can be used like a mapping. """ def __init__(self) -> None: @@ -95,68 +87,68 @@ def terms(self) -> Dict[str, Term]: return self._term @property - def pipe_reactions(self) -> Dict[str, AbstractReaction]: + def pipe_reactions(self) -> Dict[str, Reaction]: """The dictionary view onto pipe reactions""" return self._pipes @property - def tank_reactions(self) -> Dict[str, AbstractReaction]: + def tank_reactions(self) -> Dict[str, Reaction]: """The dictionary view onto tank reactions""" return self._tanks - def add_variable(self, obj: AbstractVariable) -> None: + def add_variable(self, variable: MsxVariable) -> None: """Add a variable object to the registry. The appropriate group is determined by querying the object's var_type attribute. - Arguments - --------- - obj : WaterQualityVariable + Parameters + ---------- + variable The variable to add. Raises ------ TypeError - if obj is not a WaterQualityVariable + if `variable` is not an MsxVariable KeyExistsError - if obj has a name that is already used in the registry + if `variable` has a name that is already used in the registry """ - if not isinstance(obj, AbstractVariable): - raise TypeError("Expected WaterQualityVariable object") - if obj.name in self: - raise KeyExistsError("Variable name {} already exists in model".format(obj.name)) - obj._vars = self - self._vars.add_item_to_group(obj.var_type.name.lower(), obj.name, obj) - - def add_reaction(self, obj: AbstractReaction) -> None: + if not isinstance(variable, (Species, Constant, Parameter, Term, MathFunction, HydraulicVariable)): + raise TypeError("Expected AVariable object") + if variable.name in self: + raise KeyExistsError("Variable name {} already exists in model".format(variable.name)) + variable._vars = self + self._vars.add_item_to_group(variable.var_type.name.lower(), variable.name, variable) + + def add_reaction(self, reaction: Reaction) -> None: """Add a reaction to the model Parameters ---------- - obj : WaterQualityReaction - _description_ + reaction : Reaction + a water quality reaction definition Raises ------ TypeError - _description_ + if `reaction` is not a Reaction KeyError - _description_ + if the `species_name` in the `reaction` does not exist in the model """ - if not isinstance(obj, AbstractReaction): - raise TypeError("Expected WaterQualityReaction object") - if obj.species_name not in self: - raise KeyError("Species {} does not exist in the model".format(obj.species_name)) - self._rxns[obj.reaction_type.name.lower()][obj.species_name] = obj + if not isinstance(reaction, Reaction): + raise TypeError("Expected a Reaction object") + if reaction.species_name not in self: + raise KeyError("Species {} does not exist in the model".format(reaction.species_name)) + self._rxns[reaction.reaction_type.name.lower()][reaction.species_name] = reaction - def variables(self): + def variables(self) -> Generator[tuple, None, None]: # FIXME: rename without "all_" for this """A generator looping through all variables""" for k, v in self._vars.items(): yield k, v.var_type.name.lower(), v - def reactions(self): + def reactions(self) -> Generator[tuple, None, None]: """A generator looping through all reactions""" for k2, v in self._rxns.items(): for k1, v1 in v.items(): @@ -173,12 +165,10 @@ def to_dict(self) -> dict: ) -class MsxNetworkData(NetworkData): +class MsxNetworkData(NetworkDataBase): """A container for network-specific values associated with a multispecies water quality model.""" - def __init__( - self, patterns: dict = None, sources: dict = None, initial_quality: dict = None, parameter_values: dict = None - ) -> None: + def __init__(self, patterns: Dict[str, List[float]] = None, sources: Dict[str, Dict[str, dict]] = None, initial_quality: Dict[str, Union[dict,InitialQuality]] = None, parameter_values: Dict[str, Union[dict, ParameterValues]] = None) -> None: """A container for network-specific values associated with a multispecies water quality model. Data is copied from dictionaries passed in, so once created, the dictionaries passed are not connected @@ -186,14 +176,28 @@ def __init__( Parameters ---------- - patterns : Dict[str, List[float]] + patterns : dict, optional patterns to use for sources - sources : Dict[str, dict] + sources : dict, optional sources defined for the model - initial_quality : Dict[str, dict] + initial_quality : dict, optional initial values for different species at different nodes, links, and the global value - parameter_values : Dict[str, dict] + parameter_values : dict, optional parameter values for different pipes and tanks + + Notes + ----- + ``patterns`` + A dictionary keyed by pattern name (str) with values being the multipliers (list of float) + ``sources`` + A dictionary keyed by species name (str) with values being dictionaries keyed by junction name (str) with values being the + dictionary of settings for the source + ``initial_quality`` + A dictionary keyed by species name (str) with values being either an :class:`~wntr.msx.elements.InitialQuality` object or + the appropriate dictionary representation thereof. + ``parameter_values`` + A dictionary keyed by parameter name (str) with values being either a :class:`~wntr.msx.elements.ParameterValues` object or + the appropriate dictionary representation thereof. """ if sources is None: sources = dict() @@ -236,7 +240,7 @@ def patterns(self): return self._pattern_dict @property - def parameter_values(self): + def parameter_values(self) -> Dict[str, ParameterValues]: """A dictionary of parameter values, keyed by parameter name""" return self._parameter_value_dict @@ -247,7 +251,7 @@ def add_pattern(self, name: str, multipliers: List[float]): --------- name : str The pattern name - multipliers : List[float] + multipliers : list of float The pattern multipliers """ self._pattern_dict[name] = multipliers @@ -258,7 +262,7 @@ def init_new_species(self, species: Species): Arguments --------- species : Species - The species to (re) initialized. + The species to (re)initialized. Returns ------- @@ -275,8 +279,8 @@ def remove_species(self, species: Union[Species, str]): Arguments --------- - species : Union[Species, str] - _description_ + species : Species or str + a species to be removed from the network data """ if isinstance(species, Species): species._vals = None @@ -291,12 +295,12 @@ def init_new_parameter(self, param: Parameter): Arguments --------- param : Parameter - _description_ + a parameter to be (re)initialized with network data Returns ------- - _type_ - _description_ + ParameterValues + the new network data for the specific parameter """ self._parameter_value_dict[str(param)] = ParameterValues() if isinstance(param, Parameter): @@ -306,10 +310,12 @@ def init_new_parameter(self, param: Parameter): def remove_parameter(self, param: Union[Parameter, str]): """Remove values associated with a specific parameter. + Ignores non-parameters. + Arguments --------- - param : Union[Parameter, str] - _description_ + param : Parameter or str + the parameter or parameter name to be removed from the network data """ if isinstance(param, Parameter): param._vals = None @@ -329,7 +335,7 @@ def to_dict(self) -> dict: return ret -class MsxModel(AbstractModel): +class MsxModel(QualityModelBase): """A multispecies water quality model for use with WNTR EPANET-MSX simulator.""" def __init__(self, msx_file_name=None) -> None: @@ -342,9 +348,9 @@ def __init__(self, msx_file_name=None) -> None: """ super().__init__(msx_file_name) self._references: List[Union[str, Dict[str, str]]] = list() - self._options = MultispeciesOptions() - self._rxn_system = MsxReactionSystem() - self._net_data = MsxNetworkData() + self._options: MsxSolverOptions = MsxSolverOptions() + self._rxn_system: MsxReactionSystem = MsxReactionSystem() + self._net_data: MsxNetworkData = MsxNetworkData() self._wn = None for v in HYDRAULIC_VARIABLES: @@ -375,7 +381,7 @@ def references(self) -> List[Union[str, Dict[str, str]]]: """A list of strings or mappings that provide references for this model. .. note:: - This property is a list, and should be modified using append/insert/remove. + This property is a list, and should be modified using append/insert/remove. Members of the list should be json seriealizable (i.e., strings or dicts of strings). """ return self._references @@ -391,7 +397,7 @@ def network_data(self) -> MsxNetworkData: return self._net_data @property - def options(self) -> MultispeciesOptions: + def options(self) -> MsxSolverOptions: """The MSX model options""" return self._options @@ -416,10 +422,10 @@ def term_name_list(self) -> List[str]: return list(self.reaction_system.terms.keys()) @options.setter - def options(self, value): + def options(self, value: Union[dict, MsxSolverOptions]): if isinstance(value, dict): - self._options = MultispeciesOptions.factory(value) - elif not isinstance(value, MultispeciesOptions): + self._options = MsxSolverOptions.factory(value) + elif not isinstance(value, MsxSolverOptions): raise TypeError("Expected a MultispeciesOptions object, got {}".format(type(value))) else: self._options = value @@ -431,7 +437,7 @@ def add_species( units: str, atol: float = None, rtol: float = None, - note: Any = None, + note: NoteType = None, diffusivity: float = None, ) -> Species: """Add a species to the model @@ -439,37 +445,35 @@ def add_species( Arguments --------- name : str - _description_ + the species name species_type : SpeciesType - _description_ + the type of species, either BULK or WALL units : str - _description_ - atol : float, optional - _description_, by default None - rtol : float, optional - _description_, by default None - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + the mass units for this species + atol : float, optional unless rtol is not None + the absolute solver tolerance for this species, by default None + rtol : float, optional unless atol is not None + the relative solver tolerance for this species, by default None + note : NoteType, optional keyword + supplementary information regarding this variable, by default None + (see also :class:`~wntr.epanet.util.ENcomment`) diffusivity : float, optional - Diffusivity in water for this species. + diffusivity of this species in water Raises ------ - KeyError - _description_ + KeyExistsError + if a variable with this name already exists + ValueError + if `atol` or `rtol` ≤ 0 Returns ------- Species - _description_ + the new species """ if name in self._rxn_system: - raise KeyError( - "Variable named {} already exists in model as type {}".format( - name, self._rxn_system._vars.get_groupname(name) - ) - ) + raise KeyExistsError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) species_type = SpeciesType.get(species_type, allow_none=False) iq = self.network_data.init_new_species(name) new = Species( @@ -486,165 +490,178 @@ def add_species( self.reaction_system.add_variable(new) return new - def remove_species(self, species): + def remove_species(self, variable_or_name): """Remove a species from the model. Removes from both the reaction_system and the network_data. - Arguments - --------- - species : _type_ - _description_ + Parameters + ---------- + variable_or_name : Species or str + the species (or name of the species) to be removed + + Raises + ------ + KeyError + if `variable_or_name` is not a species in the model """ - name = str(species) + name = str(variable_or_name) + if name not in self.reaction_system.species: + raise KeyError('The specified variable is not a registered species in the reaction system') self.network_data.remove_species(name) # FIXME: validate additional items self.reaction_system.__delitem__(name) - def add_constant(self, name: str, value: float, units: str = None, note: Any = None) -> Constant: + def add_constant(self, name: str, value: float, units: str = None, note: NoteType = None) -> Constant: """Add a constant coefficient to the model. Arguments --------- name : str - _description_ + the name of the coefficient value : float - _description_ + the constant value of the coefficient units : str, optional - _description_, by default None - note : str | dict | ENcomment, optional - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + the units for this coefficient, by default None + note : NoteType, optional + supplementary information regarding this variable, by default None Raises ------ - KeyError - _description_ + KeyExistsError + a variable with this name already exists Returns ------- Constant - _description_ + the new constant coefficient """ if name in self._rxn_system: - raise KeyError( - "Variable named {} already exists in model as type {}".format( - name, self._rxn_system._vars.get_groupname(name) - ) - ) + raise KeyExistsError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) new = Constant(name=name, value=value, units=units, note=note, _vars=self._rxn_system) self.reaction_system.add_variable(new) return new - def remove_constant(self, const): + def remove_constant(self, variable_or_name): """Remove a constant coefficient from the model. - Arguments - --------- - const : _type_ - _description_ + Parameters + ---------- + variable_or_name : Constant or str + the constant (or name of the constant) to be removed + + Raises + ------ + KeyError + if `variable_or_name` is not a constant coefficient in the model """ - name = str(const) + name = str(variable_or_name) + if name not in self.reaction_system.constants: + raise KeyError('The specified variable is not a registered constant in the reaction system') # FIXME: validate deletion self.reaction_system.__delitem__(name) - def add_parameter(self, name: str, global_value: float, units: str = None, note: Any = None) -> Parameter: + def add_parameter(self, name: str, global_value: float, units: str = None, note: NoteType = None) -> Parameter: """Add a parameterized coefficient to the model. Arguments --------- name : str - _description_ + the name of the parameter global_value : float - _description_ + the global value of the coefficient (can be overridden for specific pipes/tanks) units : str, optional - _description_, by default None - note : str | dict | ENcomment, optional + the units for the coefficient, by default None + note : NoteType, optional keyword Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + (see also :class:`~wntr.epanet.util.ENcomment`). Raises ------ - KeyError - _description_ + KeyExistsError + if a variable with this name already exists Returns ------- Parameter - _description_ + the new parameterized coefficient """ if name in self._rxn_system: - raise KeyError( - "Variable named {} already exists in model as type {}".format( - name, self._rxn_system._vars.get_groupname(name) - ) - ) + raise KeyExistsError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) pv = self.network_data.init_new_parameter(name) new = Parameter(name=name, global_value=global_value, units=units, note=note, _vars=self._rxn_system, _vals=pv) self.reaction_system.add_variable(new) return new - def remove_parameter(self, param): + def remove_parameter(self, variable_or_name): """Remove a parameterized coefficient from the model. - Arguments - --------- - param : _type_ - _description_ + Parameters + ---------- + variable_or_name : Parameter or str + the parameter (or name of the parameter) to be removed + + Raises + ------ + KeyError + if `variable_or_name` is not a parameter in the model """ - name = str(param) + name = str(variable_or_name) + if name not in self.reaction_system.parameters: + raise KeyError('The specified variable is not a registered parameter in the reaction system') self.network_data.remove_parameter(name) # FIXME: validate additional items self.reaction_system.__delitem__(name) - def add_term(self, name: str, expression: str, note: Any = None) -> Term: + def add_term(self, name: str, expression: str, note: NoteType = None) -> Term: """Add a named expression (term) to the model. - Arguments - --------- + Parameters + ---------- name : str - _description_ + the name of the functional term to be added expression : str - _description_ - note : str | dict | ENcomment, optional + the expression that the term defines + note : NoteType, optional keyword Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + (see also :class:`~wntr.epanet.util.ENcomment`) Raises ------ - KeyError - _description_ + KeyExistsError + if a variable with this name already exists Returns ------- Term - _description_ + the new term """ if name in self._rxn_system: - raise KeyError( - "Variable named {} already exists in model as type {}".format( - name, self._rxn_system._vars.get_groupname(name) - ) - ) + raise KeyError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) new = Term(name=name, expression=expression, note=note, _vars=self._rxn_system) self.reaction_system.add_variable(new) return new - def remove_term(self, term): + def remove_term(self, variable_or_name): """Remove a named expression (term) from the model. - Arguments - --------- - term : _type_ - _description_ + Parameters + ---------- + variable_or_name : Term or str + the term (or name of the term) to be deleted + + Raises + ------ + KeyError + if `variable_or_name` is not a term in the model """ - name = str(term) + name = str(variable_or_name) # FIXME: validate deletion + if name not in self.reaction_system.terms: + raise KeyError('The specified variable is not a registered term in the reaction system') self.reaction_system.__delitem__(name) - def add_reaction( - self, species_name: str, reaction_type: ReactionType, expression_type: ExpressionType, expression: str, note: Any = None - ) -> AbstractReaction: + def add_reaction(self, species_name: Union[Species, str], reaction_type: ReactionType, expression_type: ExpressionType, expression: str, note: NoteType = None) -> ReactionBase: """Add a reaction to a species in the model. Note that all species need to have both a pipe and tank reaction defined @@ -656,27 +673,27 @@ def add_reaction( Arguments --------- - species_name : str - _description_ - location_type : LocationType - _description_ + species_name : Species or str + the species (or name of species) the reaction is being defined for + reaction_type: ReactionType + where this reaction takes place, from {PIPE, TANK} expression_type : ExpressionType - _description_ + the type (LHS) of the equation the expression belongs to, from {RATE, EQUIL, FORMULA} expression : str - _description_ - note : str | dict | ENcomment, optional + the expression defining the reaction + note : NoteType, optional keyword Supplementary information regarding this reaction, by default None - (see :class:`~wntr.epanet.util.ENcomment` for dict structure). + (see also :class:`~wntr.epanet.util.ENcomment`) Raises ------ TypeError - _description_ + if a variable that is not species is passed Returns ------- MultispeciesReaction - _description_ + the new reaction object """ species_name = str(species_name) species = self.reaction_system.species[species_name] @@ -699,10 +716,10 @@ def remove_reaction(self, species_name: str, reaction_type: ReactionType) -> Non Parameters ---------- - species : str - the species name to remove the reaction from - location : LocationType - the location to remove the reaction from + species : Species or str + the species (or name of the species) of the reaction to remove + reaction_type : ReactionType + the reaction type (location) of the reaction to remove """ reaction_type = ReactionType.get(reaction_type, allow_none=False) species_name = str(species_name) @@ -723,7 +740,14 @@ def to_dict(self) -> dict: } @classmethod - def from_dict(cls, data) -> 'MsxModel': + def from_dict(cls, data) -> "MsxModel": + """Create a new multispecies reaction model from a dictionary. + + Parameters + ---------- + data : dict + The model data + """ from wntr import __version__ ver = data.get("wntr-version", None) diff --git a/wntr/msx/options.py b/wntr/msx/options.py index b91c2c9f9..e99645352 100644 --- a/wntr/msx/options.py +++ b/wntr/msx/options.py @@ -9,7 +9,8 @@ logger = logging.getLogger(__name__) -class ReportOptions(_OptionsBase): + +class MsxReportOptions(_OptionsBase): """ Options related to EPANET-MSX report outputs. """ @@ -69,8 +70,7 @@ def __setattr__(self, name, value): self.__dict__[name] = value - -class MultispeciesOptions(_OptionsBase): +class MsxSolverOptions(_OptionsBase): """ Multispecies quality model options. """ @@ -88,7 +88,7 @@ def __init__( segments: int = 5000, peclet: int = 1000, # global_initial_quality: Dict[str, float] = None, - report: ReportOptions = None, + report: MsxReportOptions = None, ): """ Multispecies quality model options. @@ -139,14 +139,14 @@ def __init__( """The number of segments per-pipe to use, by default 5000.""" self.peclet: int = peclet """The threshold for applying dispersion, by default 1000.""" - self.report: ReportOptions = ReportOptions.factory(report) + self.report: MsxReportOptions = MsxReportOptions.factory(report) """The reporting output options.""" def __setattr__(self, name, value): if name == "report": - if not isinstance(value, (ReportOptions, dict, tuple, list)): + if not isinstance(value, (MsxReportOptions, dict, tuple, list)): raise ValueError("report must be a ReportOptions or convertable object") - value = ReportOptions.factory(value) + value = MsxReportOptions.factory(value) elif name in {"timestep"}: try: value = max(1, int(value)) From 1f8c3dd3272bb64197dad1c79be5f3fb1b527351 Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 9 Nov 2023 14:38:55 -0700 Subject: [PATCH 036/118] Delete test file --- wntr/tests/test_quality_variables.py | 250 --------------------------- 1 file changed, 250 deletions(-) delete mode 100644 wntr/tests/test_quality_variables.py diff --git a/wntr/tests/test_quality_variables.py b/wntr/tests/test_quality_variables.py deleted file mode 100644 index 142e33049..000000000 --- a/wntr/tests/test_quality_variables.py +++ /dev/null @@ -1,250 +0,0 @@ -import unittest -import warnings -from os.path import abspath, dirname, join - -import numpy as np -import pandas as pd -import wntr -import wntr.msx -import sympy - -testdir = dirname(abspath(str(__file__))) -test_network_dir = join(testdir, "networks_for_testing") -test_data_dir = join(testdir, "data_for_testing") -ex_datadir = join(testdir, "..", "..", "examples", "networks") - - -class Test(unittest.TestCase): - @classmethod - def setUpClass(self): - pass - - @classmethod - def tearDownClass(self): - pass - - def test_ReactionVariable_reserved_name_exception(self): - self.assertRaises(ValueError, wntr.msx.Species, 'bulk', "D", "mg") - self.assertRaises(ValueError, wntr.msx.Species, 'wall', "Q", "mg") - self.assertRaises(ValueError, wntr.msx.Constant, "Re", 0.52) - self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 0.52) - self.assertRaises(ValueError, wntr.msx.OtherTerm, "Re", 0.52) - - def test_RxnVariable_symbols_and_sympy(self): - species1 = wntr.msx.Species('BULK', "Cl", "mg") - symbol1 = sympy.symbols("Cl") - self.assertEqual(species1.symbol, symbol1) - - const1 = wntr.msx.Constant("Kb", 0.482) - symbol2 = sympy.symbols("Kb") - self.assertEqual(const1.symbol, symbol2) - - param1 = wntr.msx.Constant("Ka", 0.482) - symbol3 = sympy.symbols("Ka") - self.assertEqual(param1.symbol, symbol3) - - term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - symbol4 = sympy.symbols("T0") - self.assertEqual(term1.symbol, symbol4) - - def test_RxnVariable_values(self): - const1 = wntr.msx.Constant("Kb", 0.482, note="test") - self.assertEqual(const1.get_value(), const1.global_value) - test_pipe_dict = {"PIPE": 0.38} - test_tank_dict = {"TANK": 222.23} - param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) - self.assertEqual(param2.get_value(), param2.global_value) - self.assertEqual(param2.get_value(pipe="PIPE"), test_pipe_dict["PIPE"]) - self.assertEqual(param2.get_value(pipe="FOO"), param2.global_value) - self.assertEqual(param2.get_value(tank="TANK"), test_tank_dict["TANK"]) - self.assertRaises(TypeError, param2.get_value, pipe="PIPE", tank="TANK") - - def test_RxnVariable_string_functions(self): - species1 = wntr.msx.Species('BULK', "Cl", "mg") - species2 = wntr.msx.Species('WALL', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.msx.Constant("Kb", 0.482) - param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") - term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - - self.assertEqual(str(species1), "Cl") - self.assertEqual(str(const1), "Kb") - self.assertEqual(str(param1), "Ka") - self.assertEqual(str(term1), "T0") - - def test_Species_tolerances(self): - # """RxnSpecies(*s) tolerance settings""" - species1 = wntr.msx.Species("B", "Cl", "mg") - species2 = wntr.msx.Species("W", "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertIsNone(species1.get_tolerances()) - self.assertIsNotNone(species2.get_tolerances()) - self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) - self.assertRaises(TypeError, species1.set_tolerances, None, 0.0001) - self.assertRaises(ValueError, species1.set_tolerances, -0.51, 0.01) - self.assertRaises(ValueError, species1.set_tolerances, 0.0, 0.0) - species1.set_tolerances(0.01, 0.0001) - self.assertEqual(species1._atol, 0.01) - self.assertEqual(species1._rtol, 0.0001) - species1.set_tolerances(None, None) - self.assertIsNone(species1._atol) - self.assertIsNone(species1._rtol) - species2.clear_tolerances() - self.assertIsNone(species1._atol) - self.assertIsNone(species1._rtol) - self.assertIsNone(species2.get_tolerances()) - - def test_BulkSpecies_creation(self): - # """BlukSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.msx.Species, "b", "Re") - self.assertRaises(ValueError, wntr.msx.Species, "B", "Re", "mg") - self.assertRaises(TypeError, wntr.msx.Species, 1, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.msx.Species, wntr.msx.base.SpeciesType.BULK, "Cl", "mg", None, 0.01) - species = wntr.msx.Species(1, "Cl", "mg") - self.assertEqual(species.name, "Cl") - self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.msx.SpeciesType.BULK) - self.assertIsNone(species._atol) - self.assertIsNone(species._rtol) - self.assertIsNone(species.note) - species = wntr.msx.Species('b', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.msx.SpeciesType.BULK) - self.assertEqual(species.name, "Cl") - self.assertEqual(species.units, "mg") - self.assertEqual(species._atol, 0.01) - self.assertEqual(species._rtol, 0.0001) - self.assertEqual(species.note, "Testing stuff") - - def test_WallSpecies_creation(self): - # """WallSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.msx.Species, 'W', "Re") - self.assertRaises(ValueError, wntr.msx.Species, 'Wall', "Re", "mg") - self.assertRaises(TypeError, wntr.msx.Species, 2, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.msx.Species, 'W', "Cl", "mg", None, 0.01) - species = wntr.msx.Species('w', "Cl", "mg") - self.assertEqual(species.name, "Cl") - self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.msx.SpeciesType.WALL) - self.assertIsNone(species._atol) - self.assertIsNone(species._rtol) - self.assertIsNone(species.note) - species = wntr.msx.Species('w', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.msx.SpeciesType.WALL) - self.assertEqual(species.name, "Cl") - self.assertEqual(species.units, "mg") - self.assertEqual(species._atol, 0.01) - self.assertEqual(species._rtol, 0.0001) - self.assertEqual(species.note, "Testing stuff") - - def test_Constant_creation(self): - self.assertRaises(TypeError, wntr.msx.Constant, "Re") - self.assertRaises(ValueError, wntr.msx.Constant, "Re", 2.48) - const1 = wntr.msx.Constant("Kb", 0.482, note="test") - # FIXME: Find a way to suppress warning printing - # self.assertWarns(RuntimeWarning, wntr.reaction.Constant, 'Kb1', 0.83, pipe_values={'a',1}) - self.assertEqual(const1.name, "Kb") - self.assertEqual(const1.global_value, 0.482) - self.assertEqual(const1.get_value(), const1.global_value) - self.assertEqual(const1.var_type, wntr.msx.VariableType.CONST) - self.assertEqual(const1.note, "test") - - def test_Parameter_creation(self): - self.assertRaises(TypeError, wntr.msx.Parameter, "Re") - self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 2.48) - param1 = wntr.msx.Parameter("Kb", 0.482, note="test") - self.assertEqual(param1.name, "Kb") - self.assertEqual(param1.global_value, 0.482) - self.assertEqual(param1.get_value(), param1.global_value) - self.assertEqual(param1.var_type, wntr.msx.VariableType.PARAM) - self.assertEqual(param1.note, "test") - test_pipe_dict = {"PIPE": 0.38} - test_tank_dict = {"TANK": 222.23} - param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) - self.assertDictEqual(param2.pipe_values, test_pipe_dict) - self.assertDictEqual(param2.tank_values, test_tank_dict) - - def test_RxnTerm_creation(self): - self.assertRaises(TypeError, wntr.msx.OtherTerm, "Re") - self.assertRaises(ValueError, wntr.msx.OtherTerm, "Re", "1.0*Re") - term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - self.assertEqual(term1.name, "T0") - self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") - self.assertEqual(term1.var_type, wntr.msx.VariableType.TERM) - self.assertEqual(term1.note, "bar") - - def test_RxnExpression_strings(self): - equil1 = wntr.msx.EquilibriumDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.msx.TankReaction("Cl", wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.msx.PipeReaction("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - - def test_Equilibrium_creation(self): - equil1 = wntr.msx.EquilibriumDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.species, "Cl") - self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.dynamics, wntr.msx.ExpressionType.EQUIL) - - def test_Rate_creation(self): - rate1 = wntr.msx.TankReaction("Cl", wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - self.assertEqual(rate1.species_name, "Cl") - self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(rate1.dynamics, wntr.msx.ExpressionType.RATE) - self.assertEqual(rate1.note, "Foo Bar") - - def test_Formula_creation(self): - formula1 = wntr.msx.FormulaDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.species, "Cl") - self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.dynamics, wntr.msx.ExpressionType.FORMULA) - - def test_WaterQualityReactionsModel_creation_specific_everything(self): - rxn_model1 = wntr.msx.MsxModel() - bulk1 = wntr.msx.Species('b',"Cl", "mg") - wall1 = wntr.msx.Species('w', "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.msx.Constant("Kb", 0.482) - param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") - term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - equil1 = wntr.msx.EquilibriumDynamics(bulk1, wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.msx.TankReaction(bulk1, wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.msx.FormulaDynamics(wall1, wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - - bulk2 = rxn_model1.add_bulk_species("Cl", "mg") - wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const2 = rxn_model1.add_constant("Kb", 0.482) - param2 = rxn_model1.add_parameter("Ka", 0.482, note="foo") - term2 = rxn_model1.add_other_term("T0", "-3.2 * Kb * Cl^2", note="bar") - equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") - rate2 = rxn_model1.add_tank_reaction("Cl", wntr.msx.ExpressionType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula2 = rxn_model1.add_reaction("PIPE", "ClOH", "formula", "-Ka + Kb * Cl + T0") - self.assertEqual(bulk1, bulk2) - self.assertEqual(wall1, wall2) - self.assertEqual(const1, const2) - # self.assertEqual(param1, param2) # No good way to compare dicts inside - self.assertEqual(term1, term2) - # self.assertEqual(equil1, equil2) - # self.assertEqual(rate1, rate2) - # self.assertEqual(formula1, formula2) - - def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): - bulk1 = wntr.msx.Species('b', "Cl", "mg") - wall1 = wntr.msx.Species(2, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.msx.Constant("Kb", 0.482) - param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") - term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - - rxn_model2 = wntr.msx.MsxModel() - - self.assertRaises(ValueError, rxn_model2.add_species, wntr.msx.VariableType.CONST, "Cl", "mg") - self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) - self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) - - bulk3 = rxn_model2.add_species("BULK", "Cl", "mg") - wall3 = rxn_model2.add_species(wntr.msx.VariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) - param3 = rxn_model2.add_coefficient(wntr.msx.VariableType.P, "Ka", 0.482, note="foo") - - self.assertEqual(bulk3, bulk1) - self.assertEqual(wall3, wall1) - self.assertEqual(const3, const1) - self.assertEqual(param3, param1) - - -if __name__ == "__main__": - unittest.main(verbosity=2) From e44e3470a388bd9aa8f0181fc57329068f65ff47 Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 9 Nov 2023 14:39:15 -0700 Subject: [PATCH 037/118] Add test file --- wntr/tests/test_msx_variables.py | 231 +++++++++++++++++++++++++++++++ 1 file changed, 231 insertions(+) create mode 100644 wntr/tests/test_msx_variables.py diff --git a/wntr/tests/test_msx_variables.py b/wntr/tests/test_msx_variables.py new file mode 100644 index 000000000..3b0df6ab8 --- /dev/null +++ b/wntr/tests/test_msx_variables.py @@ -0,0 +1,231 @@ +import unittest +import warnings +from os.path import abspath, dirname, join + +import numpy as np +import pandas as pd +import wntr + +testdir = dirname(abspath(str(__file__))) +test_network_dir = join(testdir, "networks_for_testing") +test_data_dir = join(testdir, "data_for_testing") +ex_datadir = join(testdir, "..", "..", "examples", "networks") + + +class Test(unittest.TestCase): + @classmethod + def setUpClass(self): + pass + + @classmethod + def tearDownClass(self): + pass + + def test_ReactionVariable_reserved_name_exception(self): + self.assertRaises(ValueError, wntr.msx.Species, 'bulk', "D", "mg") + self.assertRaises(ValueError, wntr.msx.Species, 'wall', "Q", "mg") + self.assertRaises(ValueError, wntr.msx.Constant, "Re", 0.52) + self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 0.52) + self.assertRaises(ValueError, wntr.msx.Term, "Re", 0.52) + + def test_RxnVariable_values(self): + const1 = wntr.msx.Constant("Kb", 0.482, note="test") + self.assertEqual(const1.get_value(), const1.value) + test_pipe_dict = {"PIPE": 0.38} + test_tank_dict = {"TANK": 222.23} + param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) + self.assertEqual(param2.get_value(), param2.global_value) + self.assertEqual(param2.get_value(pipe="PIPE"), test_pipe_dict["PIPE"]) + self.assertEqual(param2.get_value(pipe="FOO"), param2.global_value) + self.assertEqual(param2.get_value(tank="TANK"), test_tank_dict["TANK"]) + self.assertRaises(TypeError, param2.get_value, pipe="PIPE", tank="TANK") + + def test_RxnVariable_string_functions(self): + species1 = wntr.msx.Species('BULK', "Cl", "mg") + species2 = wntr.msx.Species('WALL', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.msx.Constant("Kb", 0.482) + param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") + term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + + self.assertEqual(str(species1), "Cl") + self.assertEqual(str(const1), "Kb") + self.assertEqual(str(param1), "Ka") + self.assertEqual(str(term1), "T0") + + def test_Species_tolerances(self): + # """RxnSpecies(*s) tolerance settings""" + species1 = wntr.msx.Species("B", "Cl", "mg") + species2 = wntr.msx.Species("W", "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertIsNone(species1.get_tolerances()) + self.assertIsNotNone(species2.get_tolerances()) + self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) + self.assertRaises(TypeError, species1.set_tolerances, None, 0.0001) + self.assertRaises(ValueError, species1.set_tolerances, -0.51, 0.01) + self.assertRaises(ValueError, species1.set_tolerances, 0.0, 0.0) + species1.set_tolerances(0.01, 0.0001) + self.assertEqual(species1._atol, 0.01) + self.assertEqual(species1._rtol, 0.0001) + species1.set_tolerances(None, None) + self.assertIsNone(species1._atol) + self.assertIsNone(species1._rtol) + species2.clear_tolerances() + self.assertIsNone(species1._atol) + self.assertIsNone(species1._rtol) + self.assertIsNone(species2.get_tolerances()) + + def test_BulkSpecies_creation(self): + # """BlukSpecies object creation (direct instantiation)""" + self.assertRaises(TypeError, wntr.msx.Species, "b", "Re") + self.assertRaises(ValueError, wntr.msx.Species, "B", "Re", "mg") + self.assertRaises(TypeError, wntr.msx.Species, 1, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.msx.Species, wntr.msx.base.SpeciesType.BULK, "Cl", "mg", None, 0.01) + species = wntr.msx.Species(1, "Cl", "mg") + self.assertEqual(species.name, "Cl") + self.assertEqual(species.units, "mg") + self.assertEqual(species.var_type, wntr.msx.SpeciesType.BULK) + self.assertIsNone(species._atol) + self.assertIsNone(species._rtol) + self.assertIsNone(species.note) + species = wntr.msx.Species('b', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.msx.SpeciesType.BULK) + self.assertEqual(species.name, "Cl") + self.assertEqual(species.units, "mg") + self.assertEqual(species._atol, 0.01) + self.assertEqual(species._rtol, 0.0001) + self.assertEqual(species.note, "Testing stuff") + + def test_WallSpecies_creation(self): + # """WallSpecies object creation (direct instantiation)""" + self.assertRaises(TypeError, wntr.msx.Species, 'W', "Re") + self.assertRaises(ValueError, wntr.msx.Species, 'Wall', "Re", "mg") + self.assertRaises(TypeError, wntr.msx.Species, 2, "Cl", "mg", 0.01) + self.assertRaises(TypeError, wntr.msx.Species, 'W', "Cl", "mg", None, 0.01) + species = wntr.msx.Species('w', "Cl", "mg") + self.assertEqual(species.name, "Cl") + self.assertEqual(species.units, "mg") + self.assertEqual(species.var_type, wntr.msx.SpeciesType.WALL) + self.assertIsNone(species._atol) + self.assertIsNone(species._rtol) + self.assertIsNone(species.note) + species = wntr.msx.Species('w', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.var_type, wntr.msx.SpeciesType.WALL) + self.assertEqual(species.name, "Cl") + self.assertEqual(species.units, "mg") + self.assertEqual(species._atol, 0.01) + self.assertEqual(species._rtol, 0.0001) + self.assertEqual(species.note, "Testing stuff") + + def test_Constant_creation(self): + self.assertRaises(TypeError, wntr.msx.Constant, "Re") + self.assertRaises(ValueError, wntr.msx.Constant, "Re", 2.48) + const1 = wntr.msx.Constant("Kb", 0.482, note="test") + # FIXME: Find a way to suppress warning printing + # self.assertWarns(RuntimeWarning, wntr.reaction.Constant, 'Kb1', 0.83, pipe_values={'a',1}) + self.assertEqual(const1.name, "Kb") + self.assertEqual(const1.global_value, 0.482) + self.assertEqual(const1.get_value(), const1.global_value) + self.assertEqual(const1.var_type, wntr.msx.VariableType.CONST) + self.assertEqual(const1.note, "test") + + def test_Parameter_creation(self): + self.assertRaises(TypeError, wntr.msx.Parameter, "Re") + self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 2.48) + param1 = wntr.msx.Parameter("Kb", 0.482, note="test") + self.assertEqual(param1.name, "Kb") + self.assertEqual(param1.global_value, 0.482) + self.assertEqual(param1.get_value(), param1.global_value) + self.assertEqual(param1.var_type, wntr.msx.VariableType.PARAM) + self.assertEqual(param1.note, "test") + test_pipe_dict = {"PIPE": 0.38} + test_tank_dict = {"TANK": 222.23} + param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) + self.assertDictEqual(param2.pipe_values, test_pipe_dict) + self.assertDictEqual(param2.tank_values, test_tank_dict) + + def test_RxnTerm_creation(self): + self.assertRaises(TypeError, wntr.msx.OtherTerm, "Re") + self.assertRaises(ValueError, wntr.msx.OtherTerm, "Re", "1.0*Re") + term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + self.assertEqual(term1.name, "T0") + self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") + self.assertEqual(term1.var_type, wntr.msx.VariableType.TERM) + self.assertEqual(term1.note, "bar") + + def test_RxnExpression_strings(self): + equil1 = wntr.msx.EquilibriumDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.msx.TankReaction("Cl", wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.msx.PipeReaction("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + + def test_Equilibrium_creation(self): + equil1 = wntr.msx.EquilibriumDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + self.assertEqual(equil1.species, "Cl") + self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") + self.assertEqual(equil1.dynamics, wntr.msx.ExpressionType.EQUIL) + + def test_Rate_creation(self): + rate1 = wntr.msx.TankReaction("Cl", wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + self.assertEqual(rate1.species_name, "Cl") + self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") + self.assertEqual(rate1.dynamics, wntr.msx.ExpressionType.RATE) + self.assertEqual(rate1.note, "Foo Bar") + + def test_Formula_creation(self): + formula1 = wntr.msx.FormulaDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + self.assertEqual(formula1.species, "Cl") + self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") + self.assertEqual(formula1.dynamics, wntr.msx.ExpressionType.FORMULA) + + def test_WaterQualityReactionsModel_creation_specific_everything(self): + rxn_model1 = wntr.msx.MsxModel() + bulk1 = wntr.msx.Species('b',"Cl", "mg") + wall1 = wntr.msx.Species('w', "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.msx.Constant("Kb", 0.482) + param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") + term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + equil1 = wntr.msx.EquilibriumDynamics(bulk1, wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + rate1 = wntr.msx.TankReaction(bulk1, wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.msx.FormulaDynamics(wall1, wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") + + bulk2 = rxn_model1.add_bulk_species("Cl", "mg") + wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const2 = rxn_model1.add_constant("Kb", 0.482) + param2 = rxn_model1.add_parameter("Ka", 0.482, note="foo") + term2 = rxn_model1.add_other_term("T0", "-3.2 * Kb * Cl^2", note="bar") + equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") + rate2 = rxn_model1.add_tank_reaction("Cl", wntr.msx.ExpressionType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula2 = rxn_model1.add_reaction("PIPE", "ClOH", "formula", "-Ka + Kb * Cl + T0") + self.assertEqual(bulk1, bulk2) + self.assertEqual(wall1, wall2) + self.assertEqual(const1, const2) + # self.assertEqual(param1, param2) # No good way to compare dicts inside + self.assertEqual(term1, term2) + # self.assertEqual(equil1, equil2) + # self.assertEqual(rate1, rate2) + # self.assertEqual(formula1, formula2) + + def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): + bulk1 = wntr.msx.Species('b', "Cl", "mg") + wall1 = wntr.msx.Species(2, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.msx.Constant("Kb", 0.482) + param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") + term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + + rxn_model2 = wntr.msx.MsxModel() + + self.assertRaises(ValueError, rxn_model2.add_species, wntr.msx.VariableType.CONST, "Cl", "mg") + self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) + self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) + + bulk3 = rxn_model2.add_species("BULK", "Cl", "mg") + wall3 = rxn_model2.add_species(wntr.msx.VariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") + const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) + param3 = rxn_model2.add_coefficient(wntr.msx.VariableType.P, "Ka", 0.482, note="foo") + + self.assertEqual(bulk3, bulk1) + self.assertEqual(wall3, wall1) + self.assertEqual(const3, const1) + self.assertEqual(param3, param1) + + +if __name__ == "__main__": + unittest.main(verbosity=2) From 8766bbd54f0f6a851a49c948683ac6f7464efa9e Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 9 Nov 2023 15:05:21 -0700 Subject: [PATCH 038/118] Updates to documentation for MSX --- MANIFEST.in | 4 +- requirements.txt | 1 - wntr/epanet/msx/toolkit.py | 215 ++++++++++---------------- wntr/msx/__init__.py | 4 - wntr/msx/base.py | 204 ++++++------------------ wntr/msx/elements.py | 15 -- wntr/msx/model.py | 15 -- wntr/tests/test_epanet_msx_io.py | 1 - wntr/tests/test_epanet_msx_tooklit.py | 1 - 9 files changed, 129 insertions(+), 331 deletions(-) diff --git a/MANIFEST.in b/MANIFEST.in index 1961f8a2e..7157c882b 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -7,4 +7,6 @@ include wntr/sim/aml/evaluator* include wntr/sim/aml/numpy.i include wntr/sim/network_isolation/network_isolation* include wntr/sim/network_isolation/numpy.i -include wntr/tests/networks_for_testing/*.inp \ No newline at end of file +include wntr/tests/networks_for_testing/*.inp +include wntr/msx/_library_data/*.json +include wntr/msx/_library_data/*.msx diff --git a/requirements.txt b/requirements.txt index ee2a94f43..77fd539c5 100644 --- a/requirements.txt +++ b/requirements.txt @@ -12,7 +12,6 @@ utm openpyxl geopandas; sys_platform == "darwin" or sys_platform == "linux" rtree; sys_platform == "darwin" or sys_platform == "linux" -sympy # Documentation sphinx diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py index b45056d47..20aea7cd8 100644 --- a/wntr/epanet/msx/toolkit.py +++ b/wntr/epanet/msx/toolkit.py @@ -410,26 +410,26 @@ def MSXgetparameter(self, _type, node_link_index, param_index): Parameters ---------- - _type : _type_ - _description_ - node_link_index : _type_ - _description_ - param_index : _type_ - _description_ + _type : int or str or Enum + get the type of the parameter + node_link_index : int + the link index + param_index : int + the parameter variable index Returns ------- - _type_ - _description_ + float + the parameter value Raises ------ MSXKeyError - _description_ + if there is no such _type MSXValueError - _description_ + if the _type is improper EpanetMsxException - _description_ + any other error """ try: _type = TkObjectType.get(_type) @@ -463,18 +463,13 @@ def MSXgetpatternlen(self, pat): Parameters ---------- - pat : _type_ - _description_ + pat : int + pattern index Returns ------- - _type_ - _description_ - - Raises - ------ - EpanetMsxException - _description_ + int + number of time periods in the pattern """ len = ctypes.c_int() ierr = self.ENlib.MSXgetpatternlen(pat, ctypes.byref(len)) @@ -487,20 +482,15 @@ def MSXgetpatternvalue(self, pat, period): Parameters ---------- - pat : _type_ - _description_ + pat : int + pattern index period : int 1-indexed period of the pattern to retrieve Returns ------- - _type_ - _description_ - - Raises - ------ - EpanetMsxException - _description_ + float + the multiplier """ val = ctypes.c_double() ierr = self.ENlib.MSXgetpatternvalue(pat, period, ctypes.byref(val)) @@ -513,20 +503,18 @@ def MSXgetcount(self, _type): Parameters ---------- - _type : _type_ - _description_ + _type : int or str or Enum + the type of object to count Returns ------- - _type_ - _description_ + int + the number of objects of specified type Raises ------ MSXKeyError - _description_ - EpanetMsxException - _description_ + if the _type is invalid """ try: _type = TkObjectType.get(_type) @@ -545,18 +533,13 @@ def MSXgetspecies(self, species_index): Parameters ---------- - species_index : _type_ - _description_ + species_index : int + the species to query Returns ------- - _type_ - _description_ - - Raises - ------ - EpanetMsxException - _description_ + int, str, float, float + the type, units, aTol, and rTol for the species """ type_ind = ctypes.c_int() units = ctypes.create_string_buffer(15) @@ -573,15 +556,21 @@ def MSXgeterror(self, errcode, len=100): Parameters ---------- - errcode : _type_ - _description_ + errcode : int + the error code len : int, optional - _description_, by default 100 and minimum 80 + the length of the error message, by default 100 and minimum 80 Returns ------- - _type_ - _description_ + str + returns a string decoded from the DLL + + Warning + ------- + Getting string parameters in this way is not recommended, because it requires + setting up string arrays that may or may not be the correct size. Use the + wntr.epanet.msx.enums package to get error information. """ errmsg = ctypes.create_string_buffer(len) self.ENlib.MSXgeterror(errcode, ctypes.byref(errmsg), len) @@ -594,15 +583,10 @@ def MSXsetconstant(self, ind, value): Parameters ---------- - ind : _type_ - _description_ - value : _type_ - _description_ - - Raises - ------ - EpanetMsxException - _description_ + ind : int + the index to the variable + value : float + the value to give the constant """ ierr = self.ENlib.MSXsetconstant(ctypes.c_int(ind), ctypes.c_double(value)) if ierr != 0: @@ -613,23 +597,21 @@ def MSXsetparameter(self, _type, ind, param, value): Parameters ---------- - _type : _type_ - _description_ - ind : _type_ - _description_ - param : _type_ - _description_ - value : _type_ - _description_ + _type : int or str or enum + the type of value to set + ind : int + the tank or pipe index + param : int + the parameter variable index + value : float + the value to be set Raises ------ MSXKeyError - _description_ + if there is no such _type MSXValueError - _description_ - EpanetMsxException - _description_ + if the _type is invalid """ try: _type = TkObjectType.get(_type) @@ -648,23 +630,14 @@ def MSXsetinitqual(self, _type, ind, spe, value): Parameters ---------- - _type : _type_ - _description_ - ind : _type_ - _description_ - spe : _type_ - _description_ - value : _type_ - _description_ - - Raises - ------ - MSXKeyError - _description_ - MSXValueError - _description_ - EpanetMsxException - _description_ + _type : int or str or enum + what type of network element is being set + ind : int + the index of the network element + spe : int + the index of the species + value : float + the initial quality value """ try: _type = TkObjectType.get(_type) @@ -682,23 +655,16 @@ def MSXsetsource(self, node, spe, _type, level, pat): Parameters ---------- - node : _type_ - _description_ - spe : _type_ - _description_ - _type : _type_ - _description_ - level : _type_ - _description_ - pat : _type_ - _description_ - - Raises - ------ - MSXKeyError - _description_ - EpanetMsxException - _description_ + node : int + the node index + spe : int + the species index + _type : int or str or enum + the type of source + level : float + the source quality value + pat : int + the pattern index """ try: _type = TkSourceType.get(_type) @@ -714,15 +680,10 @@ def MSXsetpattern(self, pat, mult): Parameters ---------- - pat : _type_ - _description_ - mult : _type_ - _description_ - - Raises - ------ - EpanetMsxException - _description_ + pat : int + the pattern index + mult : list-like + the pattern multipliers """ length = len(mult) cfactors_type = ctypes.c_double * length @@ -738,17 +699,12 @@ def MSXsetpatternvalue(self, pat, period, value): Parameters ---------- - pat : _type_ - _description_ - period : _type_ - _description_ - value : _type_ - _description_ - - Raises - ------ - EpanetMsxException - _description_ + pat : int + the pattern index + period : int + the 1-indexed pattern time period index + value : float + the value to set at that time period """ ierr = self.ENlib.MSXsetpatternvalue(ctypes.c_int(pat), ctypes.c_int(period), ctypes.c_double(value)) if ierr != 0: @@ -759,13 +715,8 @@ def MSXaddpattern(self, patternid): Parameters ---------- - patternid : _type_ - _description_ - - Raises - ------ - EpanetMsxException - _description_ + patternid : str + the name of the new pattern """ ierr = self.ENlib.MSXaddpattern(ctypes.c_char_p(patternid.encode())) if ierr != 0: diff --git a/wntr/msx/__init__.py b/wntr/msx/__init__.py index 5937536fd..e44b248fe 100644 --- a/wntr/msx/__init__.py +++ b/wntr/msx/__init__.py @@ -2,10 +2,6 @@ """Contains definitions for EPANET Multispecies Extension (MSX) water quality modeling. """ -# Dependencies: -# pyomo.dae? -# sympy? - from .base import VariableType, SpeciesType, ReactionType, ExpressionType from .elements import Species, Constant, Parameter, Term, Reaction, HydraulicVariable, MathFunction from .model import MsxModel diff --git a/wntr/msx/base.py b/wntr/msx/base.py index 75bff8f31..e795616c7 100644 --- a/wntr/msx/base.py +++ b/wntr/msx/base.py @@ -15,99 +15,33 @@ from wntr.utils.disjoint_mapping import DisjointMapping from wntr.utils.enumtools import add_get -has_sympy = False -try: - from sympy import ( - Add, - Float, - Function, - Integer, - Mul, - Pow, - Symbol, - init_printing, - symbols, - ) - from sympy.functions import ( - Abs, - Heaviside, - acos, - acot, - asin, - atan, - cos, - cosh, - cot, - coth, - exp, - log, - sign, - sin, - sinh, - sqrt, - tan, - tanh, - ) - from sympy.parsing import parse_expr - from sympy.parsing.sympy_parser import ( - auto_number, - auto_symbol, - convert_xor, - standard_transformations, - ) - - class _log10(Function): - @classmethod - def eval(cls, x): - return log(x, 10) - - has_sympy = True -except ImportError: - sympy = None - has_sympy = False - logging.critical("This python installation does not have SymPy installed. Certain functionality will be disabled.") - standard_transformations = (None,) - convert_xor = None - if not has_sympy: - from numpy import ( - abs, - arccos, - arcsin, - arctan, - cos, - cosh, - exp, - heaviside, - log, - log10, - sign, - sin, - sinh, - sqrt, - tan, - tanh, - ) - - def _cot(x): - return 1 / tan(x) - - cot = _cot - Abs = abs - asin = arcsin - acos = arccos - atan = arctan - - def _acot(x): - return 1 / arctan(1 / x) - - acot = _acot - - def _coth(x): - return 1 / tanh(x) - - coth = _coth - Heaviside = heaviside - _log10 = log10 +from numpy import ( + abs, + arccos, + arcsin, + arctan, + cos, + cosh, + exp, + heaviside, + log, + log10, + sign, + sin, + sinh, + sqrt, + tan, + tanh, +) + +def cot(x): + return 1 / tan(x) + +def arccot(x): + return 1 / arctan(1 / x) + +def coth(x): + return 1 / tanh(x) logger = logging.getLogger(__name__) @@ -151,46 +85,41 @@ def _coth(x): abs=abs, sgn=sign, sqrt=sqrt, - step=Heaviside, + step=heaviside, log=log, exp=exp, sin=sin, cos=cos, tan=tan, cot=cot, - asin=asin, - acos=acos, - atan=atan, - acot=acot, + asin=arcsin, + acos=arccos, + atan=arctan, + acot=arccot, sinh=sinh, cosh=cosh, tanh=tanh, coth=coth, - log10=_log10, + log10=log10, ) """Mathematical functions available for use in expressions. See :numref:`table-msx-funcs` for a list and description of the different functions recognized. These names, case insensitive, are considered invalid when naming variables. -Additionally, the following SymPy names - ``Mul``, ``Add``, ``Pow``, -``Integer``, ``Float`` - are used to convert numbers and symbolic -functions; therefore, these five words, case sensitive, are also invalid -for use as variable names. - .. _table-msx-funcs: .. table:: Functions defined for use in EPANET-MSX expressions. ============== ================================================================ **Name** **Description** -------------- ---------------------------------------------------------------- - ``abs`` absolute value (:func:`~sympy.functions.Abs`) - ``sgn`` sign (:func:`~sympy.functions.sign`) + ``abs`` absolute value + ``sgn`` sign ``sqrt`` square-root - ``step`` step function (:func:`~sympy.functions.Heaviside`) + ``step`` step function ``exp`` natural number, `e`, raised to a power ``log`` natural logarithm - ``log10`` base-10 logarithm (defined as internal function) + ``log10`` base-10 logarithm ``sin`` sine ``cos`` cosine ``tan`` tangent @@ -203,13 +132,12 @@ def _coth(x): ``cosh`` hyperbolic cosine ``tanh`` hyperbolic tangent ``coth`` hyperbolic cotangent - ``*`` multiplication (:func:`~sympy.Mul`) - ``/`` division (:func:`~sympy.Mul`) - ``+`` addition (:func:`~sympy.Add`) - ``-`` negation and subtraction (:func:`~sympy.Add`) - ``^`` power/exponents (:func:`~sympy.Pow`) + ``*`` multiplication + ``/`` division + ``+`` addition + ``-`` negation and subtraction + ``^`` power/exponents ``(``, ``)`` groupings and function parameters - `numbers` literal values (:func:`~sympy.Float` and :func:`~sympy.Integer`) ============== ================================================================ :meta hide-value: @@ -220,7 +148,6 @@ def _coth(x): + tuple([k.lower() for k in EXPR_FUNCTIONS.keys()]) + tuple([k.upper() for k in EXPR_FUNCTIONS.keys()]) + tuple([k.capitalize() for k in EXPR_FUNCTIONS.keys()]) - + ("Mul", "Add", "Pow", "Integer", "Float") ) """The WNTR reserved names. This includes the MSX hydraulic variables (see :numref:`table-msx-hyd-vars`) and the MSX defined functions @@ -235,52 +162,7 @@ def _coth(x): _global_dict[k.capitalize()] = v _global_dict[k.upper()] = v for v in HYDRAULIC_VARIABLES: - _global_dict[v["name"]] = symbols(v["name"]) -_global_dict["Mul"] = Mul -_global_dict["Add"] = Add -_global_dict["Pow"] = Pow -_global_dict["Integer"] = Integer -_global_dict["Float"] = Float - -EXPR_TRANSFORMS = ( - auto_symbol, - auto_number, - convert_xor, -) -"""The sympy transforms to use in expression parsing. See -:numref:`table-sympy-transformations` for the list of transformations. - -.. _table-sympy-transformations: -.. table:: Transformations used by WNTR when parsing expressions using SymPy. - - ========================================== ================== - **Transformation** **Is used?** - ------------------------------------------ ------------------ - ``lambda_notation`` No - ``auto_symbol`` Yes - ``repeated_decimals`` No - ``auto_number`` Yes - ``factorial_notation`` No - ``implicit_multiplication_application`` No - ``convert_xor`` Yes - ``implicit_application`` No - ``implicit_multiplication`` No - ``convert_equals_signs`` No - ``function_exponentiation`` No - ``rationalize`` No - ========================================== ================== - -:meta hide-value: -""" - - -class _AnnotatedFloat(float): - def __new__(self, value, note=None): - return float.__new__(self, value) - - def __init__(self, value, note=None): - float.__init__(value) - self.note = note + _global_dict[v["name"]] = v["name"] @add_get(abbrev=True) diff --git a/wntr/msx/elements.py b/wntr/msx/elements.py index 0ae9794f5..e6c7eb289 100644 --- a/wntr/msx/elements.py +++ b/wntr/msx/elements.py @@ -21,21 +21,6 @@ ReactionSystemBase, ) -has_sympy = False -try: - from sympy import Float, Symbol, init_printing, symbols - from sympy.parsing import parse_expr - from sympy.parsing.sympy_parser import convert_xor, standard_transformations - - has_sympy = True -except ImportError: - sympy = None - logging.critical("This python installation does not have SymPy installed. " "Certain functionality will be disabled.") - standard_transformations = (None,) - convert_xor = None - has_sympy = False - - logger = logging.getLogger(__name__) diff --git a/wntr/msx/model.py b/wntr/msx/model.py index 788f925cb..4d9749c3d 100644 --- a/wntr/msx/model.py +++ b/wntr/msx/model.py @@ -27,21 +27,6 @@ from .elements import Constant, HydraulicVariable, InitialQuality, MathFunction, Parameter, ParameterValues, Reaction, Species, Term from .options import MsxSolverOptions -has_sympy = False -try: - from sympy import Float, Symbol, init_printing, symbols - from sympy.parsing import parse_expr - from sympy.parsing.sympy_parser import convert_xor, standard_transformations - - has_sympy = True -except ImportError: - sympy = None - logging.critical("This python installation does not have SymPy installed. " "Certain functionality will be disabled.") - standard_transformations = (None,) - convert_xor = None - has_sympy = False - - logger = logging.getLogger(__name__) MsxVariable = Union[Constant, HydraulicVariable, MathFunction, Parameter, Species, Term] diff --git a/wntr/tests/test_epanet_msx_io.py b/wntr/tests/test_epanet_msx_io.py index 09cb38625..74d222798 100644 --- a/wntr/tests/test_epanet_msx_io.py +++ b/wntr/tests/test_epanet_msx_io.py @@ -7,7 +7,6 @@ import wntr import wntr.msx import wntr.epanet.msx -import sympy testdir = dirname(abspath(str(__file__))) test_network_dir = join(testdir, "networks_for_testing") diff --git a/wntr/tests/test_epanet_msx_tooklit.py b/wntr/tests/test_epanet_msx_tooklit.py index 71cef63fe..6235cba73 100644 --- a/wntr/tests/test_epanet_msx_tooklit.py +++ b/wntr/tests/test_epanet_msx_tooklit.py @@ -8,7 +8,6 @@ import wntr.msx import wntr.epanet.msx import wntr.epanet.msx.toolkit -import sympy testdir = dirname(abspath(str(__file__))) test_network_dir = join(testdir, "networks_for_testing") From 54690ce3a4b25d44c68ca40523472feb9ade288f Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 9 Nov 2023 15:15:24 -0700 Subject: [PATCH 039/118] Update to example files and tests --- examples/msx/example.inp | 36 ++++++++++++++++++++ examples/msx/example.msx | 58 ++++++++++++++++++++++++++++++++ wntr/tests/test_msx_variables.py | 29 ++++++---------- 3 files changed, 105 insertions(+), 18 deletions(-) create mode 100644 examples/msx/example.inp create mode 100644 examples/msx/example.msx diff --git a/examples/msx/example.inp b/examples/msx/example.inp new file mode 100644 index 000000000..0887e00db --- /dev/null +++ b/examples/msx/example.inp @@ -0,0 +1,36 @@ +[TITLE] +EPANET-MSX Example Network + +[JUNCTIONS] +;ID Elev Demand Pattern + A 0 4.1 + B 0 3.4 + C 0 5.5 + D 0 2.3 + +[RESERVOIRS] +;ID Head Pattern + Source 100 + +[PIPES] +;ID Node1 Node2 Length Diameter Roughness + 1 Source A 1000 200 100 + 2 A B 800 150 100 + 3 A C 1200 200 100 + 4 B C 1000 150 100 + 5 C D 2000 150 100 + +[TIMES] + Duration 48 + Hydraulic Timestep 1:00 + Quality Timestep 0:05 + Report Timestep 2 + Report Start 0 + Statistic NONE + +[OPTIONS] + Units CMH + Headloss H-W + Quality NONE + +[END] diff --git a/examples/msx/example.msx b/examples/msx/example.msx new file mode 100644 index 000000000..b20e0854b --- /dev/null +++ b/examples/msx/example.msx @@ -0,0 +1,58 @@ +[TITLE] +Arsenic Oxidation/Adsorption Example + +[OPTIONS] + AREA_UNITS M2 ;Surface concentration is mass/m2 + RATE_UNITS HR ;Reaction rates are concentration/hour + SOLVER RK5 ;5-th order Runge-Kutta integrator + TIMESTEP 360 ;360 sec (5 min) solution time step + RTOL 0.001 ;Relative concentration tolerance + ATOL 0.0001 ;Absolute concentration tolerance + +[SPECIES] + BULK AS3 UG ;Dissolved arsenite + BULK AS5 UG ;Dissolved arsenate + BULK AStot UG ;Total dissolved arsenic + WALL AS5s UG ;Adsorbed arsenate + BULK NH2CL MG ;Monochloramine + +[COEFFICIENTS] + CONSTANT Ka 10.0 ;Arsenite oxidation rate coefficient + CONSTANT Kb 0.1 ;Monochloramine decay rate coefficient + CONSTANT K1 5.0 ;Arsenate adsorption coefficient + CONSTANT K2 1.0 ;Arsenate desorption coefficient + CONSTANT Smax 50 ;Arsenate adsorption saturation limit + +[TERMS] + Ks K1/K2 ;Equil. adsorption coeff. + +[PIPES] + ;Arsenite oxidation + RATE AS3 -Ka*AS3*NH2CL + ;Arsenate production + RATE AS5 Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s) + ;Monochloramine decay + RATE NH2CL -Kb*NH2CL + ;Arsenate adsorption + EQUIL AS5s Ks*Smax*AS5/(1+Ks*AS5) - AS5s + ;Total bulk arsenic + FORMULA AStot AS3 + AS5 + +[TANKS] + RATE AS3 -Ka*AS3*NH2CL + RATE AS5 Ka*AS3*NH2CL + RATE NH2CL -Kb*NH2CL + FORMULA AStot AS3 + AS5 + +[QUALITY] + ;Initial conditions (= 0 if not specified here) + NODE Source AS3 10.0 + NODE Source NH2CL 2.5 + +[REPORT] + NODES C D ;Report results for nodes C and D + LINKS 5 ;Report results for pipe 5 + SPECIES AStot YES ;Report results for each specie + SPECIES AS5 YES + SPECIES AS5s YES + SPECIES NH2CL YES diff --git a/wntr/tests/test_msx_variables.py b/wntr/tests/test_msx_variables.py index 3b0df6ab8..429125a06 100644 --- a/wntr/tests/test_msx_variables.py +++ b/wntr/tests/test_msx_variables.py @@ -30,22 +30,15 @@ def test_ReactionVariable_reserved_name_exception(self): def test_RxnVariable_values(self): const1 = wntr.msx.Constant("Kb", 0.482, note="test") - self.assertEqual(const1.get_value(), const1.value) - test_pipe_dict = {"PIPE": 0.38} - test_tank_dict = {"TANK": 222.23} - param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) - self.assertEqual(param2.get_value(), param2.global_value) - self.assertEqual(param2.get_value(pipe="PIPE"), test_pipe_dict["PIPE"]) - self.assertEqual(param2.get_value(pipe="FOO"), param2.global_value) - self.assertEqual(param2.get_value(tank="TANK"), test_tank_dict["TANK"]) - self.assertRaises(TypeError, param2.get_value, pipe="PIPE", tank="TANK") + self.assertEqual(const1.value, 0.482) + param2 = wntr.msx.Parameter("Kb", 0.482, note="test") + self.assertEqual(param2.global_value, 0.482) def test_RxnVariable_string_functions(self): - species1 = wntr.msx.Species('BULK', "Cl", "mg") - species2 = wntr.msx.Species('WALL', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") + species1 = wntr.msx.Species('Cl', 'BULK', "mg") const1 = wntr.msx.Constant("Kb", 0.482) param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") - term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") + term1 = wntr.msx.Term("T0", "-3.2 * Kb * Cl^2", note="bar") self.assertEqual(str(species1), "Cl") self.assertEqual(str(const1), "Kb") @@ -122,7 +115,7 @@ def test_Constant_creation(self): # FIXME: Find a way to suppress warning printing # self.assertWarns(RuntimeWarning, wntr.reaction.Constant, 'Kb1', 0.83, pipe_values={'a',1}) self.assertEqual(const1.name, "Kb") - self.assertEqual(const1.global_value, 0.482) + self.assertEqual(const1.value, 0.482) self.assertEqual(const1.get_value(), const1.global_value) self.assertEqual(const1.var_type, wntr.msx.VariableType.CONST) self.assertEqual(const1.note, "test") @@ -136,11 +129,11 @@ def test_Parameter_creation(self): self.assertEqual(param1.get_value(), param1.global_value) self.assertEqual(param1.var_type, wntr.msx.VariableType.PARAM) self.assertEqual(param1.note, "test") - test_pipe_dict = {"PIPE": 0.38} - test_tank_dict = {"TANK": 222.23} - param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) - self.assertDictEqual(param2.pipe_values, test_pipe_dict) - self.assertDictEqual(param2.tank_values, test_tank_dict) + # test_pipe_dict = {"PIPE": 0.38} + # test_tank_dict = {"TANK": 222.23} + # param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) + # self.assertDictEqual(param2.pipe_values, test_pipe_dict) + # self.assertDictEqual(param2.tank_values, test_tank_dict) def test_RxnTerm_creation(self): self.assertRaises(TypeError, wntr.msx.OtherTerm, "Re") From 73264e427f97b8c1c553c7e354cd4cbbbae9a0bd Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 9 Nov 2023 15:46:30 -0700 Subject: [PATCH 040/118] Test updates --- wntr/tests/test_msx_elements.py | 190 ++++++++++++++++++++++++++ wntr/tests/test_msx_variables.py | 224 ------------------------------- 2 files changed, 190 insertions(+), 224 deletions(-) create mode 100644 wntr/tests/test_msx_elements.py delete mode 100644 wntr/tests/test_msx_variables.py diff --git a/wntr/tests/test_msx_elements.py b/wntr/tests/test_msx_elements.py new file mode 100644 index 000000000..39cc09188 --- /dev/null +++ b/wntr/tests/test_msx_elements.py @@ -0,0 +1,190 @@ +import unittest +import warnings +from os.path import abspath, dirname, join + +import numpy as np +import pandas as pd +import wntr + +testdir = dirname(abspath(str(__file__))) +test_network_dir = join(testdir, "networks_for_testing") +test_data_dir = join(testdir, "data_for_testing") +ex_datadir = join(testdir, "..", "..", "examples", "networks") + + +class Test(unittest.TestCase): + @classmethod + def setUpClass(self): + pass + + @classmethod + def tearDownClass(self): + pass + + def test_ReactionVariable_reserved_name_exception(self): + self.assertRaises(ValueError, wntr.msx.Species, "D", 'bulk', "mg") + self.assertRaises(ValueError, wntr.msx.Species, "Q", 'wall', "mg") + self.assertRaises(ValueError, wntr.msx.Constant, "Re", 0.52) + self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 0.52) + self.assertRaises(ValueError, wntr.msx.Term, "Re", 0.52) + + def test_RxnVariable_values(self): + const1 = wntr.msx.Constant("Kb", 0.482, note="test") + self.assertEqual(const1.value, 0.482) + param2 = wntr.msx.Parameter("Kb", 0.482, note="test") + self.assertEqual(param2.global_value, 0.482) + + def test_RxnVariable_string_functions(self): + species1 = wntr.msx.Species('Cl', 'BULK', "mg") + const1 = wntr.msx.Constant("Kb", 0.482) + param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") + term1 = wntr.msx.Term("T0", "-3.2 * Kb * Cl^2", note="bar") + + self.assertEqual(str(species1), "Cl") + self.assertEqual(str(const1), "Kb") + self.assertEqual(str(param1), "Ka") + self.assertEqual(str(term1), "T0") + + def test_Species_tolerances(self): + # """RxnSpecies(*s) tolerance settings""" + species1 = wntr.msx.Species("Cl", 'bulk', "mg") + species2 = wntr.msx.Species("Cl", 'wall', "mg", 0.01, 0.0001, note="Testing stuff") + self.assertIsNone(species1.get_tolerances()) + self.assertIsNotNone(species2.get_tolerances()) + self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) + self.assertRaises(TypeError, species1.set_tolerances, None, 0.0001) + self.assertRaises(ValueError, species1.set_tolerances, -0.51, 0.01) + self.assertRaises(ValueError, species1.set_tolerances, 0.0, 0.0) + species1.set_tolerances(0.01, 0.0001) + self.assertEqual(species1.atol, 0.01) + self.assertEqual(species1.rtol, 0.0001) + species1.set_tolerances(None, None) + self.assertIsNone(species1.atol) + self.assertIsNone(species1.rtol) + species2.clear_tolerances() + self.assertIsNone(species1.atol) + self.assertIsNone(species1.rtol) + self.assertIsNone(species2.get_tolerances()) + + def test_BulkSpecies_creation(self): + # """BlukSpecies object creation (direct instantiation)""" + self.assertRaises(TypeError, wntr.msx.Species, "Re", 'bulk') + self.assertRaises(ValueError, wntr.msx.Species, "Re", 'bulk', "mg") + # self.assertRaises(TypeError, wntr.msx.Species, "Cl", 1, "mg", 0.01, None) + # self.assertRaises(TypeError, wntr.msx.Species, "Cl", wntr.msx.base.SpeciesType.BULK, "mg", None, 0.01) + species = wntr.msx.Species("Cl", 1, "mg") + self.assertEqual(species.name, "Cl") + self.assertEqual(species.units, "mg") + self.assertEqual(species.species_type, wntr.msx.SpeciesType.BULK) + self.assertIsNone(species.atol) + self.assertIsNone(species.rtol) + self.assertIsNone(species.note) + species = wntr.msx.Species("Cl",'bulk', "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.species_type, wntr.msx.SpeciesType.BULK) + self.assertEqual(species.name, "Cl") + self.assertEqual(species.units, "mg") + self.assertEqual(species.atol, 0.01) + self.assertEqual(species.rtol, 0.0001) + self.assertEqual(species.note, "Testing stuff") + + def test_WallSpecies_creation(self): + # """WallSpecies object creation (direct instantiation)""" + self.assertRaises(TypeError, wntr.msx.Species, "Re", 'W') + self.assertRaises(ValueError, wntr.msx.Species, "Re", 'Wall', "mg") + self.assertRaises(TypeError, wntr.msx.Species, "Cl", 2, "mg", 0.01) + self.assertRaises(TypeError, wntr.msx.Species, "Cl", 'w', "mg", None, 0.01) + species = wntr.msx.Species( "Cl", 'w', "mg") + self.assertEqual(species.name, "Cl") + self.assertEqual(species.units, "mg") + self.assertEqual(species.species_type, wntr.msx.SpeciesType.WALL) + self.assertIsNone(species.atol) + self.assertIsNone(species.rtol) + self.assertIsNone(species.note) + species = wntr.msx.Species( "Cl", 'w', "mg", 0.01, 0.0001, note="Testing stuff") + self.assertEqual(species.species_type, wntr.msx.SpeciesType.WALL) + self.assertEqual(species.name, "Cl") + self.assertEqual(species.units, "mg") + self.assertEqual(species.atol, 0.01) + self.assertEqual(species.rtol, 0.0001) + self.assertEqual(species.note, "Testing stuff") + + def test_Constant_creation(self): + self.assertRaises(TypeError, wntr.msx.Constant, "Re") + self.assertRaises(ValueError, wntr.msx.Constant, "Re", 2.48) + const1 = wntr.msx.Constant("Kb", 0.482, note="test") + # FIXME: Find a way to suppress warning printing + # self.assertWarns(RuntimeWarning, wntr.reaction.Constant, 'Kb1', 0.83, pipe_values={'a',1}) + self.assertEqual(const1.name, "Kb") + self.assertEqual(const1.value, 0.482) + self.assertEqual(const1.var_type, wntr.msx.VariableType.CONST) + self.assertEqual(const1.note, "test") + + def test_Parameter_creation(self): + self.assertRaises(TypeError, wntr.msx.Parameter, "Re") + self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 2.48) + param1 = wntr.msx.Parameter("Kb", 0.482, note="test") + self.assertEqual(param1.name, "Kb") + self.assertEqual(param1.global_value, 0.482) + self.assertEqual(param1.var_type, wntr.msx.VariableType.PARAM) + self.assertEqual(param1.note, "test") + # test_pipe_dict = {"PIPE": 0.38} + # test_tank_dict = {"TANK": 222.23} + # param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) + # self.assertDictEqual(param2.pipe_values, test_pipe_dict) + # self.assertDictEqual(param2.tank_values, test_tank_dict) + + def test_RxnTerm_creation(self): + self.assertRaises(TypeError, wntr.msx.Term, "Re") + self.assertRaises(ValueError, wntr.msx.Term, "Re", "1.0*Re") + term1 = wntr.msx.Term("T0", "-3.2 * Kb * Cl^2", note="bar") + self.assertEqual(term1.name, "T0") + self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") + self.assertEqual(term1.var_type, wntr.msx.VariableType.TERM) + self.assertEqual(term1.note, "bar") + + def test_Reaction(self): + equil1 = wntr.msx.Reaction("Cl", wntr.msx.ReactionType.PIPE, 'equil', "-Ka + Kb * Cl + T0") + self.assertEqual(equil1.species_name, "Cl") + self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") + self.assertEqual(equil1.expression_type, wntr.msx.ExpressionType.EQUIL) + rate1 = wntr.msx.Reaction("Cl", wntr.msx.ReactionType.TANK, 'rate', "-Ka + Kb * Cl + T0", note="Foo Bar") + self.assertEqual(rate1.species_name, "Cl") + self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") + self.assertEqual(rate1.expression_type, wntr.msx.ExpressionType.RATE) + self.assertEqual(rate1.note, "Foo Bar") + formula1 = wntr.msx.Reaction("Cl", wntr.msx.ReactionType.PIPE, 'formula', "-Ka + Kb * Cl + T0") + self.assertEqual(formula1.species_name, "Cl") + self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") + self.assertEqual(formula1.expression_type, wntr.msx.ExpressionType.FORMULA) + + def test_WaterQualityReactionsModel_creation_specific_everything(self): + rxn_model1 = wntr.msx.MsxModel() + bulk1 = wntr.msx.Species("Cl", 'b', "mg") + wall1 = wntr.msx.Species("ClOH", 'w', "mg", 0.01, 0.0001, note="Testing stuff") + const1 = wntr.msx.Constant("Kb", 0.482) + param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") + term1 = wntr.msx.Term("T0", "-3.2 * Kb * Cl^2", note="bar") + equil1 = wntr.msx.Reaction(bulk1, wntr.msx.ReactionType.PIPE, 'equil', "-Ka + Kb * Cl + T0") + rate1 = wntr.msx.Reaction(bulk1, wntr.msx.ReactionType.TANK, 'rate', "-Ka + Kb * Cl + T0", note="Foo Bar") + formula1 = wntr.msx.Reaction(wall1, wntr.msx.ReactionType.PIPE, 'formula', "-Ka + Kb * Cl + T0") + + bulk2 = rxn_model1.add_species("Cl", 'bulk', "mg") + wall2 = rxn_model1.add_species("ClOH", 'wall', "mg", 0.01, 0.0001, note="Testing stuff") + const2 = rxn_model1.add_constant("Kb", 0.482) + param2 = rxn_model1.add_parameter("Ka", 0.482, note="foo") + term2 = rxn_model1.add_term("T0", "-3.2 * Kb * Cl^2", note="bar") + equil2 = rxn_model1.add_reaction("Cl", "pipe", "equil", "-Ka + Kb * Cl + T0") + rate2 = rxn_model1.add_reaction("Cl", "tank", wntr.msx.ExpressionType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") + formula2 = rxn_model1.add_reaction("ClOH", "PIPE", "formula", "-Ka + Kb * Cl + T0") + self.assertDictEqual(bulk1.to_dict(), bulk2.to_dict()) + self.assertDictEqual(wall1.to_dict(), wall2.to_dict()) + self.assertDictEqual(const1.to_dict(), const2.to_dict()) + self.assertDictEqual(param1.to_dict(), param2.to_dict()) + self.assertDictEqual(term1.to_dict(), term2.to_dict()) + self.assertDictEqual(equil1.to_dict(), equil2.to_dict()) + self.assertDictEqual(rate1.to_dict(), rate2.to_dict()) + self.assertDictEqual(formula1.to_dict(), formula2.to_dict()) + + +if __name__ == "__main__": + unittest.main(verbosity=2) diff --git a/wntr/tests/test_msx_variables.py b/wntr/tests/test_msx_variables.py deleted file mode 100644 index 429125a06..000000000 --- a/wntr/tests/test_msx_variables.py +++ /dev/null @@ -1,224 +0,0 @@ -import unittest -import warnings -from os.path import abspath, dirname, join - -import numpy as np -import pandas as pd -import wntr - -testdir = dirname(abspath(str(__file__))) -test_network_dir = join(testdir, "networks_for_testing") -test_data_dir = join(testdir, "data_for_testing") -ex_datadir = join(testdir, "..", "..", "examples", "networks") - - -class Test(unittest.TestCase): - @classmethod - def setUpClass(self): - pass - - @classmethod - def tearDownClass(self): - pass - - def test_ReactionVariable_reserved_name_exception(self): - self.assertRaises(ValueError, wntr.msx.Species, 'bulk', "D", "mg") - self.assertRaises(ValueError, wntr.msx.Species, 'wall', "Q", "mg") - self.assertRaises(ValueError, wntr.msx.Constant, "Re", 0.52) - self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 0.52) - self.assertRaises(ValueError, wntr.msx.Term, "Re", 0.52) - - def test_RxnVariable_values(self): - const1 = wntr.msx.Constant("Kb", 0.482, note="test") - self.assertEqual(const1.value, 0.482) - param2 = wntr.msx.Parameter("Kb", 0.482, note="test") - self.assertEqual(param2.global_value, 0.482) - - def test_RxnVariable_string_functions(self): - species1 = wntr.msx.Species('Cl', 'BULK', "mg") - const1 = wntr.msx.Constant("Kb", 0.482) - param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") - term1 = wntr.msx.Term("T0", "-3.2 * Kb * Cl^2", note="bar") - - self.assertEqual(str(species1), "Cl") - self.assertEqual(str(const1), "Kb") - self.assertEqual(str(param1), "Ka") - self.assertEqual(str(term1), "T0") - - def test_Species_tolerances(self): - # """RxnSpecies(*s) tolerance settings""" - species1 = wntr.msx.Species("B", "Cl", "mg") - species2 = wntr.msx.Species("W", "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertIsNone(species1.get_tolerances()) - self.assertIsNotNone(species2.get_tolerances()) - self.assertTupleEqual(species2.get_tolerances(), (0.01, 0.0001)) - self.assertRaises(TypeError, species1.set_tolerances, None, 0.0001) - self.assertRaises(ValueError, species1.set_tolerances, -0.51, 0.01) - self.assertRaises(ValueError, species1.set_tolerances, 0.0, 0.0) - species1.set_tolerances(0.01, 0.0001) - self.assertEqual(species1._atol, 0.01) - self.assertEqual(species1._rtol, 0.0001) - species1.set_tolerances(None, None) - self.assertIsNone(species1._atol) - self.assertIsNone(species1._rtol) - species2.clear_tolerances() - self.assertIsNone(species1._atol) - self.assertIsNone(species1._rtol) - self.assertIsNone(species2.get_tolerances()) - - def test_BulkSpecies_creation(self): - # """BlukSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.msx.Species, "b", "Re") - self.assertRaises(ValueError, wntr.msx.Species, "B", "Re", "mg") - self.assertRaises(TypeError, wntr.msx.Species, 1, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.msx.Species, wntr.msx.base.SpeciesType.BULK, "Cl", "mg", None, 0.01) - species = wntr.msx.Species(1, "Cl", "mg") - self.assertEqual(species.name, "Cl") - self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.msx.SpeciesType.BULK) - self.assertIsNone(species._atol) - self.assertIsNone(species._rtol) - self.assertIsNone(species.note) - species = wntr.msx.Species('b', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.msx.SpeciesType.BULK) - self.assertEqual(species.name, "Cl") - self.assertEqual(species.units, "mg") - self.assertEqual(species._atol, 0.01) - self.assertEqual(species._rtol, 0.0001) - self.assertEqual(species.note, "Testing stuff") - - def test_WallSpecies_creation(self): - # """WallSpecies object creation (direct instantiation)""" - self.assertRaises(TypeError, wntr.msx.Species, 'W', "Re") - self.assertRaises(ValueError, wntr.msx.Species, 'Wall', "Re", "mg") - self.assertRaises(TypeError, wntr.msx.Species, 2, "Cl", "mg", 0.01) - self.assertRaises(TypeError, wntr.msx.Species, 'W', "Cl", "mg", None, 0.01) - species = wntr.msx.Species('w', "Cl", "mg") - self.assertEqual(species.name, "Cl") - self.assertEqual(species.units, "mg") - self.assertEqual(species.var_type, wntr.msx.SpeciesType.WALL) - self.assertIsNone(species._atol) - self.assertIsNone(species._rtol) - self.assertIsNone(species.note) - species = wntr.msx.Species('w', "Cl", "mg", 0.01, 0.0001, note="Testing stuff") - self.assertEqual(species.var_type, wntr.msx.SpeciesType.WALL) - self.assertEqual(species.name, "Cl") - self.assertEqual(species.units, "mg") - self.assertEqual(species._atol, 0.01) - self.assertEqual(species._rtol, 0.0001) - self.assertEqual(species.note, "Testing stuff") - - def test_Constant_creation(self): - self.assertRaises(TypeError, wntr.msx.Constant, "Re") - self.assertRaises(ValueError, wntr.msx.Constant, "Re", 2.48) - const1 = wntr.msx.Constant("Kb", 0.482, note="test") - # FIXME: Find a way to suppress warning printing - # self.assertWarns(RuntimeWarning, wntr.reaction.Constant, 'Kb1', 0.83, pipe_values={'a',1}) - self.assertEqual(const1.name, "Kb") - self.assertEqual(const1.value, 0.482) - self.assertEqual(const1.get_value(), const1.global_value) - self.assertEqual(const1.var_type, wntr.msx.VariableType.CONST) - self.assertEqual(const1.note, "test") - - def test_Parameter_creation(self): - self.assertRaises(TypeError, wntr.msx.Parameter, "Re") - self.assertRaises(ValueError, wntr.msx.Parameter, "Re", 2.48) - param1 = wntr.msx.Parameter("Kb", 0.482, note="test") - self.assertEqual(param1.name, "Kb") - self.assertEqual(param1.global_value, 0.482) - self.assertEqual(param1.get_value(), param1.global_value) - self.assertEqual(param1.var_type, wntr.msx.VariableType.PARAM) - self.assertEqual(param1.note, "test") - # test_pipe_dict = {"PIPE": 0.38} - # test_tank_dict = {"TANK": 222.23} - # param2 = wntr.msx.Parameter("Kb", 0.482, note="test", pipe_values=test_pipe_dict, tank_values=test_tank_dict) - # self.assertDictEqual(param2.pipe_values, test_pipe_dict) - # self.assertDictEqual(param2.tank_values, test_tank_dict) - - def test_RxnTerm_creation(self): - self.assertRaises(TypeError, wntr.msx.OtherTerm, "Re") - self.assertRaises(ValueError, wntr.msx.OtherTerm, "Re", "1.0*Re") - term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - self.assertEqual(term1.name, "T0") - self.assertEqual(term1.expression, "-3.2 * Kb * Cl^2") - self.assertEqual(term1.var_type, wntr.msx.VariableType.TERM) - self.assertEqual(term1.note, "bar") - - def test_RxnExpression_strings(self): - equil1 = wntr.msx.EquilibriumDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.msx.TankReaction("Cl", wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.msx.PipeReaction("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - - def test_Equilibrium_creation(self): - equil1 = wntr.msx.EquilibriumDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.species, "Cl") - self.assertEqual(equil1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(equil1.dynamics, wntr.msx.ExpressionType.EQUIL) - - def test_Rate_creation(self): - rate1 = wntr.msx.TankReaction("Cl", wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - self.assertEqual(rate1.species_name, "Cl") - self.assertEqual(rate1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(rate1.dynamics, wntr.msx.ExpressionType.RATE) - self.assertEqual(rate1.note, "Foo Bar") - - def test_Formula_creation(self): - formula1 = wntr.msx.FormulaDynamics("Cl", wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.species, "Cl") - self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") - self.assertEqual(formula1.dynamics, wntr.msx.ExpressionType.FORMULA) - - def test_WaterQualityReactionsModel_creation_specific_everything(self): - rxn_model1 = wntr.msx.MsxModel() - bulk1 = wntr.msx.Species('b',"Cl", "mg") - wall1 = wntr.msx.Species('w', "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.msx.Constant("Kb", 0.482) - param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") - term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - equil1 = wntr.msx.EquilibriumDynamics(bulk1, wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - rate1 = wntr.msx.TankReaction(bulk1, wntr.msx.ReactionType.TANK, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula1 = wntr.msx.FormulaDynamics(wall1, wntr.msx.ReactionType.PIPE, "-Ka + Kb * Cl + T0") - - bulk2 = rxn_model1.add_bulk_species("Cl", "mg") - wall2 = rxn_model1.add_wall_species("ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const2 = rxn_model1.add_constant("Kb", 0.482) - param2 = rxn_model1.add_parameter("Ka", 0.482, note="foo") - term2 = rxn_model1.add_other_term("T0", "-3.2 * Kb * Cl^2", note="bar") - equil2 = rxn_model1.add_pipe_reaction("Cl", "equil", "-Ka + Kb * Cl + T0") - rate2 = rxn_model1.add_tank_reaction("Cl", wntr.msx.ExpressionType.R, "-Ka + Kb * Cl + T0", note="Foo Bar") - formula2 = rxn_model1.add_reaction("PIPE", "ClOH", "formula", "-Ka + Kb * Cl + T0") - self.assertEqual(bulk1, bulk2) - self.assertEqual(wall1, wall2) - self.assertEqual(const1, const2) - # self.assertEqual(param1, param2) # No good way to compare dicts inside - self.assertEqual(term1, term2) - # self.assertEqual(equil1, equil2) - # self.assertEqual(rate1, rate2) - # self.assertEqual(formula1, formula2) - - def test_WaterQualityReactionsModel_creation_generic_species_coeffs(self): - bulk1 = wntr.msx.Species('b', "Cl", "mg") - wall1 = wntr.msx.Species(2, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const1 = wntr.msx.Constant("Kb", 0.482) - param1 = wntr.msx.Parameter("Ka", 0.482, note="foo") - term1 = wntr.msx.OtherTerm("T0", "-3.2 * Kb * Cl^2", note="bar") - - rxn_model2 = wntr.msx.MsxModel() - - self.assertRaises(ValueError, rxn_model2.add_species, wntr.msx.VariableType.CONST, "Cl", "mg") - self.assertRaises(TypeError, rxn_model2.add_coefficient, None, "Kb", 0.482) - self.assertRaises(ValueError, rxn_model2.add_coefficient, "Wall", "Kb", 0.482) - - bulk3 = rxn_model2.add_species("BULK", "Cl", "mg") - wall3 = rxn_model2.add_species(wntr.msx.VariableType.WALL, "ClOH", "mg", 0.01, 0.0001, note="Testing stuff") - const3 = rxn_model2.add_coefficient("Consolation", "Kb", 0.482) - param3 = rxn_model2.add_coefficient(wntr.msx.VariableType.P, "Ka", 0.482, note="foo") - - self.assertEqual(bulk3, bulk1) - self.assertEqual(wall3, wall1) - self.assertEqual(const3, const1) - self.assertEqual(param3, param1) - - -if __name__ == "__main__": - unittest.main(verbosity=2) From f4244c773b672f993b7f2bcb396884b086e99b77 Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 9 Nov 2023 15:47:54 -0700 Subject: [PATCH 041/118] Fix tolerances --- wntr/msx/elements.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/wntr/msx/elements.py b/wntr/msx/elements.py index e6c7eb289..82fa4236f 100644 --- a/wntr/msx/elements.py +++ b/wntr/msx/elements.py @@ -123,9 +123,9 @@ def set_tolerances(self, atol: float, rtol: float): ValueError if `atol` or `rtol` ≤ 0 """ - if (self.atol is None) ^ (self.rtol is None): + if (atol is None) ^ (rtol is None): raise TypeError("atol and rtol must both be float or both be None") - if self.atol is None: + if atol is None: self._tolerances = None elif atol <= 0 or rtol <= 0: raise ValueError("atol and rtol must both be positive, got atol={}, rtol={}".format(atol, rtol)) From 8d1a41eb033bb43cf2bafda073ea96dfb3a1329e Mon Sep 17 00:00:00 2001 From: Katherine Klise Date: Thu, 9 Nov 2023 16:29:53 -0800 Subject: [PATCH 042/118] MSX documentation update --- documentation/advancedsim.rst | 359 +++++++++++++++++++++++++++++ documentation/conf.py | 2 +- documentation/hydraulics.rst | 3 +- documentation/index.rst | 2 +- documentation/reference.rst | 4 + documentation/waterquality.rst | 12 +- documentation/waterquality_msx.rst | 92 ++++++++ 7 files changed, 468 insertions(+), 6 deletions(-) create mode 100644 documentation/waterquality_msx.rst diff --git a/documentation/advancedsim.rst b/documentation/advancedsim.rst index 4a8be4fe7..1944c9c70 100644 --- a/documentation/advancedsim.rst +++ b/documentation/advancedsim.rst @@ -248,3 +248,362 @@ The solution for :math:`u` and :math:`v` is then returned and printed to four si 1.618 >>> np.round(m.v.value,4) 2.618 + +Building MSX models +------------------- + +The following two examples illustrate how to build :class:`~wntr.msx.model.MsxModel` objects in WNTR + +.. _msx_example1_lead: + +Plumbosolvency of lead +^^^^^^^^^^^^^^^^^^^^^^ + +The following example builds the plumbosolvency of lead model +described in [BWMS20]_. The model represents plumbosolvency +in lead pipes within a dwelling. +The MSX model is built without a specific water network model in mind. + +Model development starts by defining the model +name, +title, +description, and +reference. + +.. doctest:: + + >>> import wntr.msx + >>> msx = wntr.msx.MsxModel() + >>> msx.name = "lead_ppm" + >>> msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" + >>> msx.desc = "Parameters for EPA HPS Simulator Model" + >>> msx.references.append( + ... """J. B. Burkhardt, et al. (2020) https://doi.org/10.1061/(asce)wr.1943-5452.0001304""" + ... ) + >>> msx + MultispeciesQualityModel(name='lead_ppm') + +Model options are added as follows: + +.. doctest:: + + >>> msx.options = { + ... "report": { + ... "species": {"PB2": "YES"}, + ... "species_precision": {"PB2": 5}, + ... "nodes": "all", + ... "links": "all", + ... }, + ... "timestep": 1, + ... "area_units": "M2", + ... "rate_units": "SEC", + ... "rtol": 1e-08, + ... "atol": 1e-08, + ... } + +There is only one species defined in this model, which is dissolved lead. + +======================== =============== ================================= ======================== +Name Type Units Note +------------------------ --------------- --------------------------------- ------------------------ +:math:`Pb` bulk species :math:`\mathrm{μg}_\mathrm{(Pb)}` dissolved lead +======================== =============== ================================= ======================== + +The species is added to the MsxModel using the using the +:meth:`~wntr.msx.model.MsxModel.add_species` method. +This method adds the new species to the model and also return a copy of the new species object. + +.. doctest:: + + >>> msx.add_species(name="PB2", species_type='bulk', units="ug", note="dissolved lead (Pb)") + Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') + +The new species can be accessed by using the item's name and indexing on the model's +:attr:`~wntr.msx.model.MsxModel.reaction_system` attribute. + + >>> PB2 = msx.reaction_system['PB2'] + >>> PB2 + Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') + +The model also includes two constants and one parameter. + +=============== =============== =============== ================================= ======================== +Type Name Value Units Note +--------------- --------------- --------------- --------------------------------- ------------------------ +constant :math:`M` 0.117 :math:`\mathrm{μg~m^{-2}~s^{-1}}` desorption rate +constant :math:`E` 140.0 :math:`\mathrm{μg~L^{-1}}` saturation level +parameter :math:`F` 0 `n/a` is pipe made of lead? +=============== =============== =============== ================================= ======================== + +These are added to the MsxModel using the using the +:meth:`~wntr.msx.model.MsxModel.add_constant` and +:meth:`~wntr.msx.model.MsxModel.add_parameter` methods. +methods. + +.. doctest:: + + >>> msx.add_constant("M", value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") + >>> msx.add_constant("E", value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") + >>> msx.add_parameter("F", global_value=0, note="determines which pipes have reactions") + +Note that all models must include both pipe and tank reactions. +Since the model only has reactions within +pipes, tank reactions need to be unchanging. +The system of equations defined as follows: + +.. math:: + + \frac{d}{dt}Pb_p &= F_p \, Av_p \, M \frac{\left( E - Pb_p \right)}{E}, &\quad\text{for all pipes}~p~\text{in network} \\ + \frac{d}{dt}Pb_t &= 0, & \quad\text{for all tanks}~t~\text{in network} + +Note that the pipe reaction has a variable that has not been defined, :math:`Av`; +this variable is a pre-defined hydraulic variable. The list of these variables can be found in +the EPANET-MSX documentation, and also in the :attr:`~wntr.msx.base.HYDRAULIC_VARIABLES` +documentation. The reactions are defined as follows: + +================ ============== ========================================================================== +Reaction type Dynamics type Reaction expression +---------------- -------------- -------------------------------------------------------------------------- +pipe rate :math:`F \cdot Av \cdot M \cdot \left( E - Pb \right) / E` +tank rate :math:`0` +================ ============== ========================================================================== + +The reactions are added to the MsxModel using the :meth:`~wntr.msx.model.MsxModel.add_reaction` +method. + +.. doctest:: + + >>> msx.add_reaction("PB2", "pipe", "RATE", expression="F * Av * M * (E - PB2) / E") + >>> msx.add_reaction(PB2, "tank", "rate", expression="0") + +Arsenic oxidation and adsorption +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This example models monochloramine oxidation of arsenite/arsenate and wall +adsorption/desorption, as given in section 3 of the EPANET-MSX user manual [SRU23]_. + +The system of equations for the reaction in pipes is given in Eq. (2.4) through (2.7) +in [SRU23]_. This is a simplified model, taken from [GSCL94]_. + +.. math:: + + \frac{d}{dt}{(\mathsf{As}^\mathrm{III})} &= -k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2Cl})} \\ + \frac{d}{dt}{(\mathsf{As}^\mathrm{V})} &= k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2CL})} - Av \left( k_1 \left(S_\max - {(\mathsf{As}^\mathrm{V}_s)} \right) {(\mathsf{As}^\mathrm{V})} - k_2 ~ {(\mathsf{As}^\mathrm{V}_s)} \right) \\ + \frac{d}{dt}{(\mathsf{NH_2Cl})} &= -k_b ~ {(\mathsf{NH_2Cl})} \\ + {(\mathsf{As}^\mathrm{V}_s)} &= \frac{k_s ~ S_\max ~ {(\mathsf{As}^\mathrm{V})}}{1 + k_s {(\mathsf{As}^\mathrm{V})}} + + +where the various species, coefficients, and expressions are described in the tables below. + + +.. list-table:: Options + :header-rows: 1 + :widths: 3 3 10 + + * - Option + - Code + - Description + * - Rate units + - "HR" + - :math:`\mathrm{h}^{-1}` + * - Area units + - "M2" + - :math:`\mathrm{m}^2` + + +.. list-table:: Species + :header-rows: 1 + :widths: 2 2 2 3 4 6 + + * - Name + - Type + - Value + - Symbol + - Units + - Note + * - AS3 + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{III}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenite + * - AS5 + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{V}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenate + * - AStot + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{tot}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenic (total) + * - NH2CL + - Bulk + - "MG" + - :math:`{\mathsf{NH_2Cl}}` + - :math:`\mathrm{mg~L^{-1}}` + - dissolved monochloramine + * - AS5s + - Wall + - "UG" + - :math:`{\mathsf{As}^\mathrm{V}_{s}}` + - :math:`\require{upgreek}\upmu\mathrm{g}~\mathrm{m}^{-2}` + - adsorped arsenate (surface) + + +.. list-table:: Coefficients + :header-rows: 1 + :widths: 2 2 2 3 4 6 + + * - Name + - Type + - Value + - Symbol + - Units + - Note + * - Ka + - Const + - :math:`10` + - :math:`k_a` + - :math:`\mathrm{mg}^{-1}_{\left(\mathsf{NH_2Cl}\right)}~\mathrm{h}^{-1}` + - arsenite oxidation + * - Kb + - Const + - :math:`0.1` + - :math:`k_b` + - :math:`\mathrm{h}^{-1}` + - chloromine decay + * - K1 + - Const + - :math:`5.0` + - :math:`k_1` + - :math:`\require{upgreek}\textrm{L}~\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{h}^{-1}` + - arsenate adsorption + * - K2 + - Const + - :math:`1.0` + - :math:`k_2` + - :math:`\textrm{L}~\mathrm{h}^{-1}` + - arsenate desorption + * - Smax + - Const + - :math:`50.0` + - :math:`S_{\max}` + - :math:`\require{upgreek}\upmu\mathrm{g}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{m}^{-2}` + - arsenate adsorption limit + + +.. list-table:: Other terms + :header-rows: 1 + :widths: 3 3 2 3 10 + + * - Name + - Symbol + - Expression + - Units + - Note + * - Ks + - :math:`k_s` + - :math:`{k_1}/{k_2}` + - :math:`\require{upgreek}\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}` + - equilibrium adsorption coefficient + + +.. list-table:: Pipe reactions + :header-rows: 1 + :widths: 3 3 16 + + * - Species + - Type + - Expression + * - AS3 + - Rate + - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - AS5 + - Rate + - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}} -Av \left( k_1 \left(S_{\max}-{\mathsf{As}^\mathrm{V}_{s}} \right) {\mathsf{As}^\mathrm{V}} - k_2 \, {\mathsf{As}^\mathrm{V}_{s}} \right)` + * - NH2CL + - Rate + - :math:`-k_b \, {\mathsf{NH_2Cl}}` + * - AStot + - Formula + - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` + * - AS5s + - Equil + - :math:`k_s \, S_{\max} \frac{{\mathsf{As}^\mathrm{V}}}{1 + k_s \, {\mathsf{As}^\mathrm{V}}} - {\mathsf{As}^\mathrm{V}_{s}}` + + +.. list-table:: Tank reactions + :header-rows: 1 + :widths: 3 3 16 + + * - Species + - Type + - Expression + * - AS3 + - Rate + - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - AS5 + - Rate + - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - NH2CL + - Rate + - :math:`-k_b \, {\mathsf{NH_2Cl}}` + * - AStot + - Formula + - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` + * - AS5s + - Equil + - :math:`0` (`not present in tanks`) + + +The model is created in WTNR as shown below. + +.. doctest:: + + >>> msx = wntr.msx.MsxModel() + >>> msx.name = "arsenic_chloramine" + >>> msx.title = "Arsenic Oxidation/Adsorption Example" + >>> msx.references.append(wntr.msx.library.cite_msx()) + + >>> AS3 = msx.add_species(name="AS3", species_type="BULK", units="UG", note="Dissolved arsenite") + >>> AS5 = msx.add_species(name="AS5", species_type="BULK", units="UG", note="Dissolved arsenate") + >>> AStot = msx.add_species(name="AStot", species_type="BULK", units="UG", + ... note="Total dissolved arsenic") + >>> AS5s = msx.add_species(name="AS5s", species_type="WALL", units="UG", note="Adsorbed arsenate") + >>> NH2CL = msx.add_species(name="NH2CL", species_type="BULK", units="MG", note="Monochloramine") + + >>> Ka = msx.add_constant("Ka", 10.0, units="1 / (MG * HR)", note="Arsenite oxidation rate coeff") + >>> Kb = msx.add_constant("Kb", 0.1, units="1 / HR", note="Monochloramine decay rate coeff") + >>> K1 = msx.add_constant("K1", 5.0, units="M^3 / (UG * HR)", note="Arsenate adsorption coeff") + >>> K2 = msx.add_constant("K2", 1.0, units="1 / HR", note="Arsenate desorption coeff") + >>> Smax = msx.add_constant("Smax", 50.0, units="UG / M^2", note="Arsenate adsorption limit") + + >>> Ks = msx.add_term(name="Ks", expression="K1/K2", note="Equil. adsorption coeff") + + >>> _ = msx.add_reaction(species_name="AS3", reaction_type="pipes", expression_type="rate", + ... expression="-Ka*AS3*NH2CL", note="Arsenite oxidation") + >>> _ = msx.add_reaction("AS5", "pipes", "rate", "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", + ... note="Arsenate production less adsorption") + >>> _ = msx.add_reaction( + ... species_name="NH2CL", reaction_type="pipes", expression_type="rate", expression="-Kb*NH2CL", + ... note="Monochloramine decay") + >>> _ = msx.add_reaction("AS5s", "pipe", "equil", "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", + ... note="Arsenate adsorption") + >>> _ = msx.add_reaction(species_name="AStot", reaction_type="pipes", expression_type="formula", + ... expression="AS3 + AS5", note="Total arsenic") + >>> _ = msx.add_reaction(species_name="AS3", reaction_type="tank", expression_type="rate", + ... expression="-Ka*AS3*NH2CL", note="Arsenite oxidation") + >>> _ = msx.add_reaction(species_name="AS5", reaction_type="tank", expression_type="rate", + ... expression="Ka*AS3*NH2CL", note="Arsenate production") + >>> _ = msx.add_reaction(species_name="NH2CL", reaction_type="tank", expression_type="rate", + ... expression="-Kb*NH2CL", note="Monochloramine decay") + >>> _ = msx.add_reaction(species_name="AStot", reaction_type="tanks", expression_type="formula", + ... expression="AS3 + AS5", note="Total arsenic") + + >>> msx.options.area_units = "M2" + >>> msx.options.rate_units = "HR" + >>> msx.options.rtol = 0.001 + >>> msx.options.atol = 0.0001 diff --git a/documentation/conf.py b/documentation/conf.py index f9eef5dfc..d45b8e778 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -108,7 +108,7 @@ # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True -autodoc_type_aliases = {'DataFrame': 'pandas DataFrame', 'MsxVariable': ':class:`~wntr.msx.model.MsxVariable`', 'NoteType': ':class:`~wntr.epanet.util.NoteType`'} +#autodoc_type_aliases = {'DataFrame': 'pandas DataFrame', 'MsxVariable': ':class:`~wntr.msx.model.MsxVariable`', 'NoteType': ':class:`~wntr.epanet.util.NoteType`'} # If true, the current module name will be prepended to all description # unit titles (such as .. function::). diff --git a/documentation/hydraulics.rst b/documentation/hydraulics.rst index 0c755bda5..8a4714d82 100644 --- a/documentation/hydraulics.rst +++ b/documentation/hydraulics.rst @@ -9,10 +9,11 @@ Hydraulic simulation WNTR contains two simulators: the EpanetSimulator and the WNTRSimulator. See :ref:`software_framework` for more information on features and limitations of these simulators. +Additional hydraulic simulation options are included in :ref:`advanced_simulation`. EpanetSimulator ----------------- -The EpanetSimulator can be used to run EPANET 2.00.12 Programmer's Toolkit [Ross00]_ or EPANET 2.2.0 Programmer's Toolkit [RWTS20]_. +The EpanetSimulator can be used to run a hydraulic simulation using the EPANET 2.00.12 Programmer's Toolkit [Ross00]_ or EPANET 2.2.0 Programmer's Toolkit [RWTS20]_. EPANET 2.2.0 is used by default and runs demand-driven and pressure dependent hydraulic analysis. EPANET 2.00.12 runs demand-driven hydraulic analysis only. Both versions can also run water quality simulations, as described in :ref:`water_quality_simulation`. diff --git a/documentation/index.rst b/documentation/index.rst index f7d9e1c42..003bde8c1 100644 --- a/documentation/index.rst +++ b/documentation/index.rst @@ -21,6 +21,7 @@ designed to simulate and analyze resilience of water distribution networks. options hydraulics waterquality + waterquality_msx resultsobject disaster_models criticality @@ -30,7 +31,6 @@ designed to simulate and analyze resilience of water distribution networks. graphics gis advancedsim - advancedqual license whatsnew developers diff --git a/documentation/reference.rst b/documentation/reference.rst index 6d74bce38..3fadfd9d5 100644 --- a/documentation/reference.rst +++ b/documentation/reference.rst @@ -18,10 +18,14 @@ References .. [Bieni19] Bieniek, T., van Andel, B., and Bø, T.I. (2019). Bidirectional UTM-WGS84 converter for python, Retrieved on February 5, 2019 from https://github.com/Turbo87/utm. +.. [BWMS20] Burkhardt, J. B., Woo, J., Mason, J., Shang, F., Triantafyllidou, S., Schock, M.R., Lytle, D., and Murray, R. (2020). Framework for Modeling Lead in Premise Plumbing Systems Using EPANET. Journal of Water Resources Planning and Management, 146(12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304 PMID:33627937. + .. [CrLo02] Crowl, D.A., and Louvar, J.F. (2011). Chemical Process Safety: Fundamentals with Applications, 3 edition. Upper Saddle River, NJ: Prentice Hall, 720p. .. [ELLT12] Eto, J.H., LaCommare, K.H., Larsen, P.H., Todd, A., and Fisher, E. (2012). An Examination of Temporal Trends in Electricity Reliability Based on Reports from U.S. Electric Utilities. Lawrence Berkeley National Laboratory Report Number LBNL-5268E. Berkeley, CA: Ernest Orlando Lawrence Berkeley National Laboratory, 68p. +.. [GSCL94] Gu, B., Schmitt, J., Chen, Z. Liang, L., and McCarthy, J.F. (1994) Adsorption and desorption of natural organic matter on iron oxide: mechanisms and models. Environmental Science and Technology, 28:38-46. + .. [JVFM21] Jordahl, K., Van den Bossche, J., Fleischmann, M, McBride, J. and others (2021) geopandas, 10.5281/zenodo.5573592. .. [Folium] python-visualization/folium. (n.d.). Retrieved on February 5, 2019 from https://github.com/python-visualization/folium. diff --git a/documentation/waterquality.rst b/documentation/waterquality.rst index fa784d531..8b8c6ee37 100644 --- a/documentation/waterquality.rst +++ b/documentation/waterquality.rst @@ -17,7 +17,12 @@ Water quality simulation ================================== Water quality simulations can only be run using the EpanetSimulator. - +This includes the ability to run +EPANET 2.00.12 Programmer's Toolkit [Ross00]_ or +EPANET 2.2.0 Programmer's Toolkit [RWTS20]_ for single species, water age, and tracer analysis. + +WNTR also includes the ability to run EPANET-MSX 2.0 [SRU23]_, see :ref:`msx_water_quality` for more information. + After defining water quality options and sources (described in the :ref:`wq_options` and :ref:`sources` sections below), a hydraulic and water quality simulation using the EpanetSimulator is run using the following code: @@ -34,7 +39,7 @@ The results include a quality value for each node (see :ref:`simulation_results` .. _wq_options: Water quality options ------------------------- +--------------------- Three types of water quality analysis are supported. These options include water age, tracer, and chemical concentration. * **Water age**: A water quality simulation can be used to compute water age at every node. @@ -83,7 +88,7 @@ More information on water network options can be found in :ref:`options`. .. _sources: Sources ------------- +------- Sources are required for CHEMICAL water quality analysis. Sources can still be defined, but *will not* be used if AGE, TRACE, or NONE water quality analysis is selected. Sources are added to the water network model using the :class:`~wntr.network.model.WaterNetworkModel.add_source` method. @@ -135,6 +140,7 @@ In the example below, the strength of the source is changed from 1000 to 1500. When creating a water network model from an EPANET INP file, the sources that are defined in the [SOURCES] section are added to the water network model. These sources are given the name 'INP#' where # is an integer representing the number of sources in the INP file. + .. The following is not shown in the UM _wq_pdd: diff --git a/documentation/waterquality_msx.rst b/documentation/waterquality_msx.rst new file mode 100644 index 000000000..2fa6aa823 --- /dev/null +++ b/documentation/waterquality_msx.rst @@ -0,0 +1,92 @@ +.. raw:: latex + + \clearpage + +.. doctest:: + :hide: + + >>> import wntr + >>> try: + ... wn = wntr.network.model.WaterNetworkModel('../examples/networks/Net3.inp') + ... msx_filename = '../examples/data/something.msx' + ... except: + ... wn = wntr.network.model.WaterNetworkModel('examples/networks/Net3.inp') + ... msx_filename = 'examples/data/something.msx' + +.. _msx_water_quality: + +Multi-species water quality simulation +======================================= + +The EpanetSimulator can use EPANET-MSX 2.0 [SRU23]_ to run +multi-species water quality simulations. +Additional multi-species simulation options are discussed in :ref:`advanced_simulation`. + +A multi-species analysis is run if a :class:`~wntr.msx.model.MsxModel` is added to the +:class:`~wntr.network.model.WaterNetworkModel`, as shown below. +In this example, the MsxModel is created from a MSX file (see [SRU23]_ for more information on file format). + +.. doctest:: + + >>> msx_filename = 'data/something.msx') # doctest: +SKIP + >>> wn.msx = wntr.msx.MsxModel(msx_filename) + >>> sim = wntr.sim.EpanetSimulator(wn) + >>> results = sim.run_sim() +[TODO add an msx file that uses Net3 to the examples folder for documentation examples] + +The results include a quality value for each node, link, and species +(see :ref:`simulation_results` for more details). + +Multi-species model +------------------- +In addition to creating an MsxModel from a MSX file, the MsxModel +can be built from scratch and modified using WNTR. +For example, the user can +add and remove species using :class:`~wntr.msx.model.MsxModel.add_species` and :class:`~wntr.msx.model.MsxModel.remove_species`, or +add and remove reactions using :class:`~wntr.msx.model.MsxModel.add_reaction` and :class:`~wntr.msx.model.MsxModel.remove_reaction`. +See the API documentation for the :class:`~wntr.msx.model.MsxModel` for a complete list of methods. + +Variables +~~~~~~~~~ +Variables include **species**, **coefficients**, and **terms**. +These are used in **expressions** to define the dynamics of the reaction. All variables have at least two +attributes: a name and a note. +The variable name must be a valid EPANET-MSX id, which primarily +means no spaces are permitted. However, it may be useful to ensure that the name is a valid python +variable name, so that it can be used to identify the variable in your code as well. +The note can be a string, a dictionary with the keys "pre" and "post", or an :class:`~wntr.epanet.util.ENcomment` object +(which has a "pre" and "post" attribute). See the ENcomment documentation for details on the meaning; +in this example the string form of the note is used. + +There are two different types of coefficients that can be used in reaction expressions: **constants** +and **parameters**. Constants have a single value in every expression. Parameters have a global value +that is used by default, but which can be modified on a per-pipe or per-tank basis. + +Pre-defined hydraulic variable can be found in +the EPANET-MSX documentation, and are also defined in WNTR as :attr:`~wntr.msx.base.HYDRAULIC_VARIABLES`. + +Reactions +~~~~~~~~~ +All species must have two reactions defined for the model to be run successfully in EPANET-MSX by WNTR. +One is a **pipe reaction**, the other is a **tank reaction**. + +Examples that illustrate how to build MSX models in WNTR are included in :ref:`advanced_simulation`. + +Reaction library +----------------- +WNTR also contains a library of MSX models that are accessed through the :class:`~wntr.msx.library.ReactionLibrary`. +This includes the following models: + +* `Arsenic Chloramine model `_ [SRU23]_ +* `Lead Plumbosolvency model `_ [BWMS20]_ +[TODO change the 2 links to usepa, add other models if they are referenced] + +The models are stored in JSON format. +Additional models can be loaded into the library by setting a user specified path. +Additional models could also be added to the WNTR Reactions library. + +The following example loads a MsxModel from the ReactionLibrary. + +.. doctest:: + + >>> msx_model = ... From 0b11e421145b71cbccdfca7643a177dca2449f9d Mon Sep 17 00:00:00 2001 From: Katherine Klise Date: Thu, 9 Nov 2023 17:01:54 -0800 Subject: [PATCH 043/118] minor updates --- documentation/hydraulics.rst | 2 +- documentation/waterquality_msx.rst | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/documentation/hydraulics.rst b/documentation/hydraulics.rst index 8a4714d82..f284024b7 100644 --- a/documentation/hydraulics.rst +++ b/documentation/hydraulics.rst @@ -9,7 +9,7 @@ Hydraulic simulation WNTR contains two simulators: the EpanetSimulator and the WNTRSimulator. See :ref:`software_framework` for more information on features and limitations of these simulators. -Additional hydraulic simulation options are included in :ref:`advanced_simulation`. +Additional hydraulic simulation options are discussed in :ref:`advanced_simulation`. EpanetSimulator ----------------- diff --git a/documentation/waterquality_msx.rst b/documentation/waterquality_msx.rst index 2fa6aa823..d6314097c 100644 --- a/documentation/waterquality_msx.rst +++ b/documentation/waterquality_msx.rst @@ -90,3 +90,4 @@ The following example loads a MsxModel from the ReactionLibrary. .. doctest:: >>> msx_model = ... +[TODO finish this example] From cdcb4d1732878f943b694c1fe9d15d19f9852e82 Mon Sep 17 00:00:00 2001 From: Katherine Klise Date: Fri, 10 Nov 2023 12:12:55 -0800 Subject: [PATCH 044/118] MSX docs update (#135) * Add scheduled testing to workflow * MSX documentation update * minor updates --------- Co-authored-by: Kirk Bonney <47759761+kbonney@users.noreply.github.com> --- .github/workflows/build_tests.yml | 2 + documentation/advancedsim.rst | 359 +++++++++++++++++++++++++++++ documentation/conf.py | 2 +- documentation/hydraulics.rst | 3 +- documentation/index.rst | 2 +- documentation/reference.rst | 4 + documentation/waterquality.rst | 12 +- documentation/waterquality_msx.rst | 93 ++++++++ 8 files changed, 471 insertions(+), 6 deletions(-) create mode 100644 documentation/waterquality_msx.rst diff --git a/.github/workflows/build_tests.yml b/.github/workflows/build_tests.yml index 06c3ce6a1..21509c083 100644 --- a/.github/workflows/build_tests.yml +++ b/.github/workflows/build_tests.yml @@ -8,6 +8,8 @@ on: branches: [ main, dev ] pull_request: branches: [ main, dev ] + schedule: + - cron: '0 0 1 * *' jobs: diff --git a/documentation/advancedsim.rst b/documentation/advancedsim.rst index 4a8be4fe7..1944c9c70 100644 --- a/documentation/advancedsim.rst +++ b/documentation/advancedsim.rst @@ -248,3 +248,362 @@ The solution for :math:`u` and :math:`v` is then returned and printed to four si 1.618 >>> np.round(m.v.value,4) 2.618 + +Building MSX models +------------------- + +The following two examples illustrate how to build :class:`~wntr.msx.model.MsxModel` objects in WNTR + +.. _msx_example1_lead: + +Plumbosolvency of lead +^^^^^^^^^^^^^^^^^^^^^^ + +The following example builds the plumbosolvency of lead model +described in [BWMS20]_. The model represents plumbosolvency +in lead pipes within a dwelling. +The MSX model is built without a specific water network model in mind. + +Model development starts by defining the model +name, +title, +description, and +reference. + +.. doctest:: + + >>> import wntr.msx + >>> msx = wntr.msx.MsxModel() + >>> msx.name = "lead_ppm" + >>> msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" + >>> msx.desc = "Parameters for EPA HPS Simulator Model" + >>> msx.references.append( + ... """J. B. Burkhardt, et al. (2020) https://doi.org/10.1061/(asce)wr.1943-5452.0001304""" + ... ) + >>> msx + MultispeciesQualityModel(name='lead_ppm') + +Model options are added as follows: + +.. doctest:: + + >>> msx.options = { + ... "report": { + ... "species": {"PB2": "YES"}, + ... "species_precision": {"PB2": 5}, + ... "nodes": "all", + ... "links": "all", + ... }, + ... "timestep": 1, + ... "area_units": "M2", + ... "rate_units": "SEC", + ... "rtol": 1e-08, + ... "atol": 1e-08, + ... } + +There is only one species defined in this model, which is dissolved lead. + +======================== =============== ================================= ======================== +Name Type Units Note +------------------------ --------------- --------------------------------- ------------------------ +:math:`Pb` bulk species :math:`\mathrm{μg}_\mathrm{(Pb)}` dissolved lead +======================== =============== ================================= ======================== + +The species is added to the MsxModel using the using the +:meth:`~wntr.msx.model.MsxModel.add_species` method. +This method adds the new species to the model and also return a copy of the new species object. + +.. doctest:: + + >>> msx.add_species(name="PB2", species_type='bulk', units="ug", note="dissolved lead (Pb)") + Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') + +The new species can be accessed by using the item's name and indexing on the model's +:attr:`~wntr.msx.model.MsxModel.reaction_system` attribute. + + >>> PB2 = msx.reaction_system['PB2'] + >>> PB2 + Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') + +The model also includes two constants and one parameter. + +=============== =============== =============== ================================= ======================== +Type Name Value Units Note +--------------- --------------- --------------- --------------------------------- ------------------------ +constant :math:`M` 0.117 :math:`\mathrm{μg~m^{-2}~s^{-1}}` desorption rate +constant :math:`E` 140.0 :math:`\mathrm{μg~L^{-1}}` saturation level +parameter :math:`F` 0 `n/a` is pipe made of lead? +=============== =============== =============== ================================= ======================== + +These are added to the MsxModel using the using the +:meth:`~wntr.msx.model.MsxModel.add_constant` and +:meth:`~wntr.msx.model.MsxModel.add_parameter` methods. +methods. + +.. doctest:: + + >>> msx.add_constant("M", value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") + >>> msx.add_constant("E", value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") + >>> msx.add_parameter("F", global_value=0, note="determines which pipes have reactions") + +Note that all models must include both pipe and tank reactions. +Since the model only has reactions within +pipes, tank reactions need to be unchanging. +The system of equations defined as follows: + +.. math:: + + \frac{d}{dt}Pb_p &= F_p \, Av_p \, M \frac{\left( E - Pb_p \right)}{E}, &\quad\text{for all pipes}~p~\text{in network} \\ + \frac{d}{dt}Pb_t &= 0, & \quad\text{for all tanks}~t~\text{in network} + +Note that the pipe reaction has a variable that has not been defined, :math:`Av`; +this variable is a pre-defined hydraulic variable. The list of these variables can be found in +the EPANET-MSX documentation, and also in the :attr:`~wntr.msx.base.HYDRAULIC_VARIABLES` +documentation. The reactions are defined as follows: + +================ ============== ========================================================================== +Reaction type Dynamics type Reaction expression +---------------- -------------- -------------------------------------------------------------------------- +pipe rate :math:`F \cdot Av \cdot M \cdot \left( E - Pb \right) / E` +tank rate :math:`0` +================ ============== ========================================================================== + +The reactions are added to the MsxModel using the :meth:`~wntr.msx.model.MsxModel.add_reaction` +method. + +.. doctest:: + + >>> msx.add_reaction("PB2", "pipe", "RATE", expression="F * Av * M * (E - PB2) / E") + >>> msx.add_reaction(PB2, "tank", "rate", expression="0") + +Arsenic oxidation and adsorption +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This example models monochloramine oxidation of arsenite/arsenate and wall +adsorption/desorption, as given in section 3 of the EPANET-MSX user manual [SRU23]_. + +The system of equations for the reaction in pipes is given in Eq. (2.4) through (2.7) +in [SRU23]_. This is a simplified model, taken from [GSCL94]_. + +.. math:: + + \frac{d}{dt}{(\mathsf{As}^\mathrm{III})} &= -k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2Cl})} \\ + \frac{d}{dt}{(\mathsf{As}^\mathrm{V})} &= k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2CL})} - Av \left( k_1 \left(S_\max - {(\mathsf{As}^\mathrm{V}_s)} \right) {(\mathsf{As}^\mathrm{V})} - k_2 ~ {(\mathsf{As}^\mathrm{V}_s)} \right) \\ + \frac{d}{dt}{(\mathsf{NH_2Cl})} &= -k_b ~ {(\mathsf{NH_2Cl})} \\ + {(\mathsf{As}^\mathrm{V}_s)} &= \frac{k_s ~ S_\max ~ {(\mathsf{As}^\mathrm{V})}}{1 + k_s {(\mathsf{As}^\mathrm{V})}} + + +where the various species, coefficients, and expressions are described in the tables below. + + +.. list-table:: Options + :header-rows: 1 + :widths: 3 3 10 + + * - Option + - Code + - Description + * - Rate units + - "HR" + - :math:`\mathrm{h}^{-1}` + * - Area units + - "M2" + - :math:`\mathrm{m}^2` + + +.. list-table:: Species + :header-rows: 1 + :widths: 2 2 2 3 4 6 + + * - Name + - Type + - Value + - Symbol + - Units + - Note + * - AS3 + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{III}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenite + * - AS5 + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{V}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenate + * - AStot + - Bulk + - "UG" + - :math:`{\mathsf{As}^\mathrm{tot}}` + - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` + - dissolved arsenic (total) + * - NH2CL + - Bulk + - "MG" + - :math:`{\mathsf{NH_2Cl}}` + - :math:`\mathrm{mg~L^{-1}}` + - dissolved monochloramine + * - AS5s + - Wall + - "UG" + - :math:`{\mathsf{As}^\mathrm{V}_{s}}` + - :math:`\require{upgreek}\upmu\mathrm{g}~\mathrm{m}^{-2}` + - adsorped arsenate (surface) + + +.. list-table:: Coefficients + :header-rows: 1 + :widths: 2 2 2 3 4 6 + + * - Name + - Type + - Value + - Symbol + - Units + - Note + * - Ka + - Const + - :math:`10` + - :math:`k_a` + - :math:`\mathrm{mg}^{-1}_{\left(\mathsf{NH_2Cl}\right)}~\mathrm{h}^{-1}` + - arsenite oxidation + * - Kb + - Const + - :math:`0.1` + - :math:`k_b` + - :math:`\mathrm{h}^{-1}` + - chloromine decay + * - K1 + - Const + - :math:`5.0` + - :math:`k_1` + - :math:`\require{upgreek}\textrm{L}~\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{h}^{-1}` + - arsenate adsorption + * - K2 + - Const + - :math:`1.0` + - :math:`k_2` + - :math:`\textrm{L}~\mathrm{h}^{-1}` + - arsenate desorption + * - Smax + - Const + - :math:`50.0` + - :math:`S_{\max}` + - :math:`\require{upgreek}\upmu\mathrm{g}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{m}^{-2}` + - arsenate adsorption limit + + +.. list-table:: Other terms + :header-rows: 1 + :widths: 3 3 2 3 10 + + * - Name + - Symbol + - Expression + - Units + - Note + * - Ks + - :math:`k_s` + - :math:`{k_1}/{k_2}` + - :math:`\require{upgreek}\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}` + - equilibrium adsorption coefficient + + +.. list-table:: Pipe reactions + :header-rows: 1 + :widths: 3 3 16 + + * - Species + - Type + - Expression + * - AS3 + - Rate + - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - AS5 + - Rate + - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}} -Av \left( k_1 \left(S_{\max}-{\mathsf{As}^\mathrm{V}_{s}} \right) {\mathsf{As}^\mathrm{V}} - k_2 \, {\mathsf{As}^\mathrm{V}_{s}} \right)` + * - NH2CL + - Rate + - :math:`-k_b \, {\mathsf{NH_2Cl}}` + * - AStot + - Formula + - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` + * - AS5s + - Equil + - :math:`k_s \, S_{\max} \frac{{\mathsf{As}^\mathrm{V}}}{1 + k_s \, {\mathsf{As}^\mathrm{V}}} - {\mathsf{As}^\mathrm{V}_{s}}` + + +.. list-table:: Tank reactions + :header-rows: 1 + :widths: 3 3 16 + + * - Species + - Type + - Expression + * - AS3 + - Rate + - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - AS5 + - Rate + - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` + * - NH2CL + - Rate + - :math:`-k_b \, {\mathsf{NH_2Cl}}` + * - AStot + - Formula + - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` + * - AS5s + - Equil + - :math:`0` (`not present in tanks`) + + +The model is created in WTNR as shown below. + +.. doctest:: + + >>> msx = wntr.msx.MsxModel() + >>> msx.name = "arsenic_chloramine" + >>> msx.title = "Arsenic Oxidation/Adsorption Example" + >>> msx.references.append(wntr.msx.library.cite_msx()) + + >>> AS3 = msx.add_species(name="AS3", species_type="BULK", units="UG", note="Dissolved arsenite") + >>> AS5 = msx.add_species(name="AS5", species_type="BULK", units="UG", note="Dissolved arsenate") + >>> AStot = msx.add_species(name="AStot", species_type="BULK", units="UG", + ... note="Total dissolved arsenic") + >>> AS5s = msx.add_species(name="AS5s", species_type="WALL", units="UG", note="Adsorbed arsenate") + >>> NH2CL = msx.add_species(name="NH2CL", species_type="BULK", units="MG", note="Monochloramine") + + >>> Ka = msx.add_constant("Ka", 10.0, units="1 / (MG * HR)", note="Arsenite oxidation rate coeff") + >>> Kb = msx.add_constant("Kb", 0.1, units="1 / HR", note="Monochloramine decay rate coeff") + >>> K1 = msx.add_constant("K1", 5.0, units="M^3 / (UG * HR)", note="Arsenate adsorption coeff") + >>> K2 = msx.add_constant("K2", 1.0, units="1 / HR", note="Arsenate desorption coeff") + >>> Smax = msx.add_constant("Smax", 50.0, units="UG / M^2", note="Arsenate adsorption limit") + + >>> Ks = msx.add_term(name="Ks", expression="K1/K2", note="Equil. adsorption coeff") + + >>> _ = msx.add_reaction(species_name="AS3", reaction_type="pipes", expression_type="rate", + ... expression="-Ka*AS3*NH2CL", note="Arsenite oxidation") + >>> _ = msx.add_reaction("AS5", "pipes", "rate", "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", + ... note="Arsenate production less adsorption") + >>> _ = msx.add_reaction( + ... species_name="NH2CL", reaction_type="pipes", expression_type="rate", expression="-Kb*NH2CL", + ... note="Monochloramine decay") + >>> _ = msx.add_reaction("AS5s", "pipe", "equil", "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", + ... note="Arsenate adsorption") + >>> _ = msx.add_reaction(species_name="AStot", reaction_type="pipes", expression_type="formula", + ... expression="AS3 + AS5", note="Total arsenic") + >>> _ = msx.add_reaction(species_name="AS3", reaction_type="tank", expression_type="rate", + ... expression="-Ka*AS3*NH2CL", note="Arsenite oxidation") + >>> _ = msx.add_reaction(species_name="AS5", reaction_type="tank", expression_type="rate", + ... expression="Ka*AS3*NH2CL", note="Arsenate production") + >>> _ = msx.add_reaction(species_name="NH2CL", reaction_type="tank", expression_type="rate", + ... expression="-Kb*NH2CL", note="Monochloramine decay") + >>> _ = msx.add_reaction(species_name="AStot", reaction_type="tanks", expression_type="formula", + ... expression="AS3 + AS5", note="Total arsenic") + + >>> msx.options.area_units = "M2" + >>> msx.options.rate_units = "HR" + >>> msx.options.rtol = 0.001 + >>> msx.options.atol = 0.0001 diff --git a/documentation/conf.py b/documentation/conf.py index f9eef5dfc..d45b8e778 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -108,7 +108,7 @@ # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True -autodoc_type_aliases = {'DataFrame': 'pandas DataFrame', 'MsxVariable': ':class:`~wntr.msx.model.MsxVariable`', 'NoteType': ':class:`~wntr.epanet.util.NoteType`'} +#autodoc_type_aliases = {'DataFrame': 'pandas DataFrame', 'MsxVariable': ':class:`~wntr.msx.model.MsxVariable`', 'NoteType': ':class:`~wntr.epanet.util.NoteType`'} # If true, the current module name will be prepended to all description # unit titles (such as .. function::). diff --git a/documentation/hydraulics.rst b/documentation/hydraulics.rst index 0c755bda5..f284024b7 100644 --- a/documentation/hydraulics.rst +++ b/documentation/hydraulics.rst @@ -9,10 +9,11 @@ Hydraulic simulation WNTR contains two simulators: the EpanetSimulator and the WNTRSimulator. See :ref:`software_framework` for more information on features and limitations of these simulators. +Additional hydraulic simulation options are discussed in :ref:`advanced_simulation`. EpanetSimulator ----------------- -The EpanetSimulator can be used to run EPANET 2.00.12 Programmer's Toolkit [Ross00]_ or EPANET 2.2.0 Programmer's Toolkit [RWTS20]_. +The EpanetSimulator can be used to run a hydraulic simulation using the EPANET 2.00.12 Programmer's Toolkit [Ross00]_ or EPANET 2.2.0 Programmer's Toolkit [RWTS20]_. EPANET 2.2.0 is used by default and runs demand-driven and pressure dependent hydraulic analysis. EPANET 2.00.12 runs demand-driven hydraulic analysis only. Both versions can also run water quality simulations, as described in :ref:`water_quality_simulation`. diff --git a/documentation/index.rst b/documentation/index.rst index f7d9e1c42..003bde8c1 100644 --- a/documentation/index.rst +++ b/documentation/index.rst @@ -21,6 +21,7 @@ designed to simulate and analyze resilience of water distribution networks. options hydraulics waterquality + waterquality_msx resultsobject disaster_models criticality @@ -30,7 +31,6 @@ designed to simulate and analyze resilience of water distribution networks. graphics gis advancedsim - advancedqual license whatsnew developers diff --git a/documentation/reference.rst b/documentation/reference.rst index 6d74bce38..3fadfd9d5 100644 --- a/documentation/reference.rst +++ b/documentation/reference.rst @@ -18,10 +18,14 @@ References .. [Bieni19] Bieniek, T., van Andel, B., and Bø, T.I. (2019). Bidirectional UTM-WGS84 converter for python, Retrieved on February 5, 2019 from https://github.com/Turbo87/utm. +.. [BWMS20] Burkhardt, J. B., Woo, J., Mason, J., Shang, F., Triantafyllidou, S., Schock, M.R., Lytle, D., and Murray, R. (2020). Framework for Modeling Lead in Premise Plumbing Systems Using EPANET. Journal of Water Resources Planning and Management, 146(12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304 PMID:33627937. + .. [CrLo02] Crowl, D.A., and Louvar, J.F. (2011). Chemical Process Safety: Fundamentals with Applications, 3 edition. Upper Saddle River, NJ: Prentice Hall, 720p. .. [ELLT12] Eto, J.H., LaCommare, K.H., Larsen, P.H., Todd, A., and Fisher, E. (2012). An Examination of Temporal Trends in Electricity Reliability Based on Reports from U.S. Electric Utilities. Lawrence Berkeley National Laboratory Report Number LBNL-5268E. Berkeley, CA: Ernest Orlando Lawrence Berkeley National Laboratory, 68p. +.. [GSCL94] Gu, B., Schmitt, J., Chen, Z. Liang, L., and McCarthy, J.F. (1994) Adsorption and desorption of natural organic matter on iron oxide: mechanisms and models. Environmental Science and Technology, 28:38-46. + .. [JVFM21] Jordahl, K., Van den Bossche, J., Fleischmann, M, McBride, J. and others (2021) geopandas, 10.5281/zenodo.5573592. .. [Folium] python-visualization/folium. (n.d.). Retrieved on February 5, 2019 from https://github.com/python-visualization/folium. diff --git a/documentation/waterquality.rst b/documentation/waterquality.rst index fa784d531..8b8c6ee37 100644 --- a/documentation/waterquality.rst +++ b/documentation/waterquality.rst @@ -17,7 +17,12 @@ Water quality simulation ================================== Water quality simulations can only be run using the EpanetSimulator. - +This includes the ability to run +EPANET 2.00.12 Programmer's Toolkit [Ross00]_ or +EPANET 2.2.0 Programmer's Toolkit [RWTS20]_ for single species, water age, and tracer analysis. + +WNTR also includes the ability to run EPANET-MSX 2.0 [SRU23]_, see :ref:`msx_water_quality` for more information. + After defining water quality options and sources (described in the :ref:`wq_options` and :ref:`sources` sections below), a hydraulic and water quality simulation using the EpanetSimulator is run using the following code: @@ -34,7 +39,7 @@ The results include a quality value for each node (see :ref:`simulation_results` .. _wq_options: Water quality options ------------------------- +--------------------- Three types of water quality analysis are supported. These options include water age, tracer, and chemical concentration. * **Water age**: A water quality simulation can be used to compute water age at every node. @@ -83,7 +88,7 @@ More information on water network options can be found in :ref:`options`. .. _sources: Sources ------------- +------- Sources are required for CHEMICAL water quality analysis. Sources can still be defined, but *will not* be used if AGE, TRACE, or NONE water quality analysis is selected. Sources are added to the water network model using the :class:`~wntr.network.model.WaterNetworkModel.add_source` method. @@ -135,6 +140,7 @@ In the example below, the strength of the source is changed from 1000 to 1500. When creating a water network model from an EPANET INP file, the sources that are defined in the [SOURCES] section are added to the water network model. These sources are given the name 'INP#' where # is an integer representing the number of sources in the INP file. + .. The following is not shown in the UM _wq_pdd: diff --git a/documentation/waterquality_msx.rst b/documentation/waterquality_msx.rst new file mode 100644 index 000000000..d6314097c --- /dev/null +++ b/documentation/waterquality_msx.rst @@ -0,0 +1,93 @@ +.. raw:: latex + + \clearpage + +.. doctest:: + :hide: + + >>> import wntr + >>> try: + ... wn = wntr.network.model.WaterNetworkModel('../examples/networks/Net3.inp') + ... msx_filename = '../examples/data/something.msx' + ... except: + ... wn = wntr.network.model.WaterNetworkModel('examples/networks/Net3.inp') + ... msx_filename = 'examples/data/something.msx' + +.. _msx_water_quality: + +Multi-species water quality simulation +======================================= + +The EpanetSimulator can use EPANET-MSX 2.0 [SRU23]_ to run +multi-species water quality simulations. +Additional multi-species simulation options are discussed in :ref:`advanced_simulation`. + +A multi-species analysis is run if a :class:`~wntr.msx.model.MsxModel` is added to the +:class:`~wntr.network.model.WaterNetworkModel`, as shown below. +In this example, the MsxModel is created from a MSX file (see [SRU23]_ for more information on file format). + +.. doctest:: + + >>> msx_filename = 'data/something.msx') # doctest: +SKIP + >>> wn.msx = wntr.msx.MsxModel(msx_filename) + >>> sim = wntr.sim.EpanetSimulator(wn) + >>> results = sim.run_sim() +[TODO add an msx file that uses Net3 to the examples folder for documentation examples] + +The results include a quality value for each node, link, and species +(see :ref:`simulation_results` for more details). + +Multi-species model +------------------- +In addition to creating an MsxModel from a MSX file, the MsxModel +can be built from scratch and modified using WNTR. +For example, the user can +add and remove species using :class:`~wntr.msx.model.MsxModel.add_species` and :class:`~wntr.msx.model.MsxModel.remove_species`, or +add and remove reactions using :class:`~wntr.msx.model.MsxModel.add_reaction` and :class:`~wntr.msx.model.MsxModel.remove_reaction`. +See the API documentation for the :class:`~wntr.msx.model.MsxModel` for a complete list of methods. + +Variables +~~~~~~~~~ +Variables include **species**, **coefficients**, and **terms**. +These are used in **expressions** to define the dynamics of the reaction. All variables have at least two +attributes: a name and a note. +The variable name must be a valid EPANET-MSX id, which primarily +means no spaces are permitted. However, it may be useful to ensure that the name is a valid python +variable name, so that it can be used to identify the variable in your code as well. +The note can be a string, a dictionary with the keys "pre" and "post", or an :class:`~wntr.epanet.util.ENcomment` object +(which has a "pre" and "post" attribute). See the ENcomment documentation for details on the meaning; +in this example the string form of the note is used. + +There are two different types of coefficients that can be used in reaction expressions: **constants** +and **parameters**. Constants have a single value in every expression. Parameters have a global value +that is used by default, but which can be modified on a per-pipe or per-tank basis. + +Pre-defined hydraulic variable can be found in +the EPANET-MSX documentation, and are also defined in WNTR as :attr:`~wntr.msx.base.HYDRAULIC_VARIABLES`. + +Reactions +~~~~~~~~~ +All species must have two reactions defined for the model to be run successfully in EPANET-MSX by WNTR. +One is a **pipe reaction**, the other is a **tank reaction**. + +Examples that illustrate how to build MSX models in WNTR are included in :ref:`advanced_simulation`. + +Reaction library +----------------- +WNTR also contains a library of MSX models that are accessed through the :class:`~wntr.msx.library.ReactionLibrary`. +This includes the following models: + +* `Arsenic Chloramine model `_ [SRU23]_ +* `Lead Plumbosolvency model `_ [BWMS20]_ +[TODO change the 2 links to usepa, add other models if they are referenced] + +The models are stored in JSON format. +Additional models can be loaded into the library by setting a user specified path. +Additional models could also be added to the WNTR Reactions library. + +The following example loads a MsxModel from the ReactionLibrary. + +.. doctest:: + + >>> msx_model = ... +[TODO finish this example] From 6c93a6306efa4ebd0a45bc7d1dce9b4015b1a6fe Mon Sep 17 00:00:00 2001 From: Katherine Klise Date: Fri, 10 Nov 2023 12:29:20 -0800 Subject: [PATCH 045/118] API docs update, removed excess imports, removed cite_msx --- documentation/advancedqual.rst | 408 ------------------ documentation/reference.rst | 6 +- wntr/epanet/exceptions.py | 5 +- wntr/epanet/msx/__init__.py | 18 +- wntr/epanet/msx/enums.py | 143 +++--- wntr/epanet/msx/exceptions.py | 75 ++-- wntr/epanet/msx/io.py | 30 +- wntr/epanet/msx/toolkit.py | 267 ++++++------ wntr/msx/__init__.py | 8 +- .../msx/_library_data/arsenic_chloramine.json | 4 +- .../_library_data/batch_chloramine_decay.json | 2 +- wntr/msx/_library_data/lead_ppm.json | 2 +- wntr/msx/_library_data/nicotine.json | 2 +- wntr/msx/_library_data/nicotine_ri.json | 2 +- wntr/msx/base.py | 232 +++++----- wntr/msx/elements.py | 248 ++++++----- wntr/msx/library.py | 140 +++--- wntr/msx/model.py | 269 ++++++------ wntr/msx/options.py | 102 +++-- wntr/network/base.py | 5 +- wntr/tests/test_msx_elements.py | 2 +- wntr/utils/disjoint_mapping.py | 11 +- 22 files changed, 834 insertions(+), 1147 deletions(-) delete mode 100644 documentation/advancedqual.rst diff --git a/documentation/advancedqual.rst b/documentation/advancedqual.rst deleted file mode 100644 index b144cbb38..000000000 --- a/documentation/advancedqual.rst +++ /dev/null @@ -1,408 +0,0 @@ -.. raw:: latex - - \clearpage - -.. _advanced_simulation: - -Advanced water quality techniques -================================= - -This section describes several advanced simulation techniques using WNTR with MSX. - - - -.. _msx_example1_lead: - -Example 1: plumbosolvency of lead ---------------------------------- - -This model is described in [BWMS20]_, and represents plumbosolvency of lead in lead pipes -within a dwelling. -In this case, we will not assume that a water network model has been made for the dwelling, yet. - -Model creation -~~~~~~~~~~~~~~ - -We create a new model, give it a name, title, and description, and we add the reference -for the paper this model was described in. - -.. doctest:: - - >>> import wntr.msx - >>> msx = wntr.msx.MultispeciesQualityModel() - >>> msx.name = "lead_ppm" - >>> msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" - >>> msx.desc = "Parameters for EPA HPS Simulator Model" - >>> msx.references.append( - ... """J. B. Burkhardt, et al. (2020) https://doi.org/10.1061/(asce)wr.1943-5452.0001304""" - ... ) - >>> msx - MultispeciesQualityModel(name='lead_ppm') - -Next, we will update certain options. - -.. doctest:: - - >>> msx.options = { - ... "report": { - ... "species": {"PB2": "YES"}, - ... "species_precision": {"PB2": 5}, - ... "nodes": "all", - ... "links": "all", - ... }, - ... "timestep": 1, - ... "area_units": "M2", - ... "rate_units": "SEC", - ... "rtol": 1e-08, - ... "atol": 1e-08, - ... } - - -Adding variables -~~~~~~~~~~~~~~~~ -The variables that are needed for a multispecies reaction system are: species, coefficients, and terms. -These are used in expressions to define the dynamics of the reaction. All variables have at least two -attributes: their name and a note. The variable name must be a valid EPANET-MSX id, which primarily -means no spaces are permitted. However, it may be useful to ensure that the name is a valid python -variable name, so that it can be used to identify the variable in your code as well. The note can be -a string, a dictionary with the keys "pre" and "post", or an :class:`~wntr.epanet.util.ENcomment` object -(which has a "pre" and "post" attribute). See the ENcomment documentation for details on the meaning; -in this example we will use the string form of the note. - --------------- - -There is only one species defined in this model, which is dissolved lead. - -======================== =============== ================================= ======================== -Name Type Units Note ------------------------- --------------- --------------------------------- ------------------------ -:math:`Pb` bulk species :math:`\mathrm{μg}_\mathrm{(Pb)}` dissolved lead -======================== =============== ================================= ======================== - -To add this species to the model, we can use the model's :meth:`~wntr.msx.multispecies.MultispeciesQualityModel.add_species` -method. -The method arguments are the name, the species_type (which can either be "bulk" or "wall"), the units, -and an optional note. -This method will add the new species to the model and also return a copy of the new species object. - -.. doctest:: - - >>> msx.add_species(name="PB2", species_type='bulk', units="ug", note="dissolved lead (Pb)") - Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') - -The new species can be accessed by using the item's name and indexing on the model's -:attr:`~wntr.msx.multispecies.MultispeciesQualityModel.reaction_system` attribute. - - >>> PB2 = msx.reaction_system['PB2'] - >>> PB2 - Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') - --------------- - -There are two different types of coefficients that can be used in reaction expressions: constants -and parameters. Constants have a single value in every expression. Parameters have a global value -that is used by default, but which can be modified on a per-pipe or per-tank basis. This model -has two constants and one parameter. - -=============== =============== =============== ================================= ======================== -Type Name Value Units Note ---------------- --------------- --------------- --------------------------------- ------------------------ -constant :math:`M` 0.117 :math:`\mathrm{μg~m^{-2}~s^{-1}}` desorption rate -constant :math:`E` 140.0 :math:`\mathrm{μg~L^{-1}}` saturation level -parameter :math:`F` 0 `n/a` is pipe made of lead? -=============== =============== =============== ================================= ======================== - -We can add these to the model as follows: - -.. doctest:: - - >>> msx.add_constant("M", value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") - >>> msx.add_constant("E", value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") - >>> msx.add_parameter("F", global_value=0, note="determines which pipes have reactions") - - -Adding reactions -~~~~~~~~~~~~~~~~ - -All species must have two reactions defined for the model to be run successfully in EPANET-MSX by WNTR. -One is a pipe reaction, the other is a tank reaction. In this case, we only have a reactions within -pipes, so we need to set the tank reaction to be unchanging. The system of equations is: - -.. math:: - - \frac{d}{dt}Pb_p &= F_p \, Av_p \, M \frac{\left( E - Pb_p \right)}{E}, &\quad\text{for all pipes}~p~\text{in network} \\ - \frac{d}{dt}Pb_t &= 0, & \quad\text{for all tanks}~t~\text{in network} - -Note that the pipe reaction has a variable that we have not defined, :math:`Av`, in its expression; -this variable is a pre-defined hydraulic variable. The list of these variables can be found in -the EPANET-MSX documentation, and also in the :attr:`~wntr.msx.base.HYDRAULIC_VARIABLES` -documentation. The reactions can be described in WNTR as - -================ ============== ========================================================================== -Reaction type Dynamics type Reaction expression ----------------- -------------- -------------------------------------------------------------------------- -pipe rate :math:`F \cdot Av \cdot M \cdot \left( E - Pb \right) / E` -tank rate :math:`0` -================ ============== ========================================================================== - -and then added to the reaction model using the :meth:`~wntr.msx.multispecies.MultispeciesQualityModel.add_reaction` -method. - -.. doctest:: - - >>> msx.add_reaction("PB2", "pipe", "RATE", expression="F * Av * M * (E - PB2) / E") - >>> msx.add_reaction(PB2, "tank", "rate", expression="0") - - - -Example 2: arsenic oxidation and adsorption -------------------------------------------- - -This example models monochloramine oxidation of arsenite/arsenate and wall -adsorption/desorption, as given in section 3 of the EPANET-MSX user manual [SRU23]_. -First, the model -will be restated here and then the code to create the model in wntr will be shown. - -Model Description -~~~~~~~~~~~~~~~~~ - -The system of equations for the reaction in pipes is given in Eq. (2.4) through (2.7) -in [SRU23]_. This is a simplified model, taken from [GSCL94]_. - -.. math:: - - \frac{d}{dt}{(\mathsf{As}^\mathrm{III})} &= -k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2Cl})} \\ - \frac{d}{dt}{(\mathsf{As}^\mathrm{V})} &= k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2CL})} - Av \left( k_1 \left(S_\max - {(\mathsf{As}^\mathrm{V}_s)} \right) {(\mathsf{As}^\mathrm{V})} - k_2 ~ {(\mathsf{As}^\mathrm{V}_s)} \right) \\ - \frac{d}{dt}{(\mathsf{NH_2Cl})} &= -k_b ~ {(\mathsf{NH_2Cl})} \\ - {(\mathsf{As}^\mathrm{V}_s)} &= \frac{k_s ~ S_\max ~ {(\mathsf{As}^\mathrm{V})}}{1 + k_s {(\mathsf{As}^\mathrm{V})}} - - -where the various species, coefficients, and expressions are described in the tables below. - - -.. list-table:: Options - :header-rows: 1 - :widths: 3 3 10 - - * - Option - - Code - - Description - * - Rate units - - "HR" - - :math:`\mathrm{h}^{-1}` - * - Area units - - "M2" - - :math:`\mathrm{m}^2` - - -.. list-table:: Species - :header-rows: 1 - :widths: 2 2 2 3 4 6 - - * - Name - - Type - - Value - - Symbol - - Units - - Note - * - AS3 - - Bulk - - "UG" - - :math:`{\mathsf{As}^\mathrm{III}}` - - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` - - dissolved arsenite - * - AS5 - - Bulk - - "UG" - - :math:`{\mathsf{As}^\mathrm{V}}` - - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` - - dissolved arsenate - * - AStot - - Bulk - - "UG" - - :math:`{\mathsf{As}^\mathrm{tot}}` - - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` - - dissolved arsenic (total) - * - NH2CL - - Bulk - - "MG" - - :math:`{\mathsf{NH_2Cl}}` - - :math:`\mathrm{mg~L^{-1}}` - - dissolved monochloramine - * - AS5s - - Wall - - "UG" - - :math:`{\mathsf{As}^\mathrm{V}_{s}}` - - :math:`\require{upgreek}\upmu\mathrm{g}~\mathrm{m}^{-2}` - - adsorped arsenate (surface) - - -.. list-table:: Coefficients - :header-rows: 1 - :widths: 2 2 2 3 4 6 - - * - Name - - Type - - Value - - Symbol - - Units - - Note - * - Ka - - Const - - :math:`10` - - :math:`k_a` - - :math:`\mathrm{mg}^{-1}_{\left(\mathsf{NH_2Cl}\right)}~\mathrm{h}^{-1}` - - arsenite oxidation - * - Kb - - Const - - :math:`0.1` - - :math:`k_b` - - :math:`\mathrm{h}^{-1}` - - chloromine decay - * - K1 - - Const - - :math:`5.0` - - :math:`k_1` - - :math:`\require{upgreek}\textrm{L}~\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{h}^{-1}` - - arsenate adsorption - * - K2 - - Const - - :math:`1.0` - - :math:`k_2` - - :math:`\textrm{L}~\mathrm{h}^{-1}` - - arsenate desorption - * - Smax - - Const - - :math:`50.0` - - :math:`S_{\max}` - - :math:`\require{upgreek}\upmu\mathrm{g}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{m}^{-2}` - - arsenate adsorption limit - - -.. list-table:: Other terms - :header-rows: 1 - :widths: 3 3 2 3 10 - - * - Name - - Symbol - - Expression - - Units - - Note - * - Ks - - :math:`k_s` - - :math:`{k_1}/{k_2}` - - :math:`\require{upgreek}\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}` - - equilibrium adsorption coefficient - - -.. list-table:: Pipe reactions - :header-rows: 1 - :widths: 3 3 16 - - * - Species - - Type - - Expression - * - AS3 - - Rate - - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` - * - AS5 - - Rate - - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}} -Av \left( k_1 \left(S_{\max}-{\mathsf{As}^\mathrm{V}_{s}} \right) {\mathsf{As}^\mathrm{V}} - k_2 \, {\mathsf{As}^\mathrm{V}_{s}} \right)` - * - NH2CL - - Rate - - :math:`-k_b \, {\mathsf{NH_2Cl}}` - * - AStot - - Formula - - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` - * - AS5s - - Equil - - :math:`k_s \, S_{\max} \frac{{\mathsf{As}^\mathrm{V}}}{1 + k_s \, {\mathsf{As}^\mathrm{V}}} - {\mathsf{As}^\mathrm{V}_{s}}` - - -.. list-table:: Tank reactions - :header-rows: 1 - :widths: 3 3 16 - - * - Species - - Type - - Expression - * - AS3 - - Rate - - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` - * - AS5 - - Rate - - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` - * - NH2CL - - Rate - - :math:`-k_b \, {\mathsf{NH_2Cl}}` - * - AStot - - Formula - - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` - * - AS5s - - Equil - - :math:`0` (`not present in tanks`) - - -Creation in WNTR -~~~~~~~~~~~~~~~~ - -.. doctest:: - - >>> msx = wntr.msx.MultispeciesQualityModel() - >>> msx.name = "arsenic_chloramine" - >>> msx.title = "Arsenic Oxidation/Adsorption Example" - >>> msx.references.append(wntr.msx.library.cite_msx()) - >>> AS3 = msx.add_species(name="AS3", species_type="BULK", units="UG", note="Dissolved arsenite") - >>> AS5 = msx.add_species(name="AS5", species_type="BULK", units="UG", note="Dissolved arsenate") - >>> AStot = msx.add_species(name="AStot", species_type="BULK", units="UG", note="Total dissolved arsenic") - >>> AS5s = msx.add_species(name="AS5s", species_type="WALL", units="UG", note="Adsorbed arsenate") - >>> NH2CL = msx.add_species(name="NH2CL", species_type="BULK", units="MG", note="Monochloramine") - >>> Ka = msx.add_constant("Ka", 10.0, units="1 / (MG * HR)", note="Arsenite oxidation rate coefficient") - >>> Kb = msx.add_constant("Kb", 0.1, units="1 / HR", note="Monochloramine decay rate coefficient") - >>> K1 = msx.add_constant("K1", 5.0, units="M^3 / (UG * HR)", note="Arsenate adsorption coefficient") - >>> K2 = msx.add_constant("K2", 1.0, units="1 / HR", note="Arsenate desorption coefficient") - >>> Smax = msx.add_constant("Smax", 50.0, units="UG / M^2", note="Arsenate adsorption limit") - >>> Ks = msx.add_term(name="Ks", expression="K1/K2", note="Equil. adsorption coeff.") - >>> _ = msx.add_reaction( - ... species_name="AS3", reaction_type="pipes", expression_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" - ... ) - >>> _ = msx.add_reaction( - ... "AS5", "pipes", "rate", "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", note="Arsenate production less adsorption" - ... ) - >>> _ = msx.add_reaction( - ... species_name="NH2CL", reaction_type="pipes", expression_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" - ... ) - >>> _ = msx.add_reaction("AS5s", "pipe", "equil", "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", note="Arsenate adsorption") - >>> _ = msx.add_reaction( - ... species_name="AStot", reaction_type="pipes", expression_type="formula", expression="AS3 + AS5", note="Total arsenic" - ... ) - >>> _ = msx.add_reaction( - ... species_name="AS3", reaction_type="tank", expression_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" - ... ) - >>> _ = msx.add_reaction( - ... species_name="AS5", reaction_type="tank", expression_type="rate", expression="Ka*AS3*NH2CL", note="Arsenate production" - ... ) - >>> _ = msx.add_reaction( - ... species_name="NH2CL", reaction_type="tank", expression_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" - ... ) - >>> _ = msx.add_reaction( - ... species_name="AStot", reaction_type="tanks", expression_type="formula", expression="AS3 + AS5", note="Total arsenic" - ... ) - >>> msx.options.area_units = "M2" - >>> msx.options.rate_units = "HR" - >>> msx.options.rtol = 0.001 - >>> msx.options.atol = 0.0001 - - -References ----------- - -.. [BWMS20] - J. B. Burkhardt, et al. (2020) - "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". - `Journal of Water Resources Planning and Management`. - **146** (12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304. PMID:33627937. - -.. [GSCL94] - B. Gu, J. Schmitt, Z. Chen, L. Liang, and J.F. McCarthy. "Adsorption and desorption of - natural organic matter on iron oxide: mechanisms and models". Environ. Sci. Technol., 28:38-46, January 1994. diff --git a/documentation/reference.rst b/documentation/reference.rst index 3fadfd9d5..bd638f8cf 100644 --- a/documentation/reference.rst +++ b/documentation/reference.rst @@ -10,7 +10,7 @@ References Due to limitations with cross referenced citations in reStructuredText (e.g., commas and spaces are not supported), citations are cross referenced using a 6 digit notation [*]_. -.. [ALA01] American Lifelines Alliance. (2001). Seismic Fragility Formulations for Water Systems, Part 1 and 2. Report for the American Lifelines Alliance, ASCE (Ed.) Reston, VA: American Society of Civil Engineers. April 2001. +.. [ALA01] American Lifelines Alliance. (2001). Seismic Fragility Formulations for Water Systems, Part 1 and 2. Report for the American Lifelines Alliance, ASCE (Ed.) Reston, VA: American Society of Civil Engineers. April 2001. .. [AwGB90] Awumah, K., Goulter, I., and Bhatt, S.K. (1990). Assessment of reliability in water distribution networks using entropy based measures. Stochastic Hydrology and Hydraulics, 4(4), 309-320. @@ -38,7 +38,7 @@ References .. [ICC12] International Code Council. (2011). 2012 International Fire Code, Appendix B - Fire-Flow Requirements for Buildings. Country Club Hills, IL: International Code Council, ISBN: 978-1-60983-046-5. -.. [JaSr08] Jayaram, N. and Srinivasan, K. (2008). Performance-based optimal design and rehabilitation of water distribution networks using life cycle costing. Water resources research, 44(1). +.. [JaSr08] Jayaram, N. and Srinivasan, K. (2008). Performance-based optimal design and rehabilitation of water distribution networks using life cycle costing. Water Resources Research, 44(1). .. [JCMG11] Joyner, D., Certik, O., Meurer, A., and Granger, B.E. (2012). Open source computer algebra systems, SymPy. ACM Communications in Computer Algebra, 45(4), 225-234. @@ -62,7 +62,7 @@ References .. [SPHC16] Sievert, C., Parmer, C., Hocking, T., Chamberlain, S., Ram, K., Corvellec, M., and Despouy, P. (2016). plotly: Create interactive web graphics via Plotly’s JavaScript graphing library [Software]. -.. [SRU23] Shang, F., Rossman, L. A., Uber, J.G. (2023). EPANET-MSX 2.0 User Manual. U.S. Environmental Protection Agency, Cincinnati, OH. EPA/600/R-22/199. +.. [SRU23] Shang, F., Rossman, L. A., and Uber, J.G. (2023). EPANET-MSX 2.0 User Manual. U.S. Environmental Protection Agency, Cincinnati, OH. EPA/600/R-22/199. .. [Todi00] Todini, E. (2000). Looped water distribution networks design using a resilience index based heuristic approach. Urban Water, 2(2), 115-122. diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index 82ce50f61..fdf405dd5 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -1,5 +1,8 @@ # coding: utf-8 -"""Exceptions for EPANET toolkit and IO operations.""" +""" +The wntr.epanet.expections module contains Exceptions for EPANET toolkit +and IO operations. +""" from typing import List diff --git a/wntr/epanet/msx/__init__.py b/wntr/epanet/msx/__init__.py index b7ae5c121..5fbc99912 100644 --- a/wntr/epanet/msx/__init__.py +++ b/wntr/epanet/msx/__init__.py @@ -1,15 +1,19 @@ -"""The wntr.epanet.msx package provides EPANET-MSX compatibility functions for WNTR. +# coding: utf-8 +""" +The wntr.epanet.msx package provides EPANET-MSX compatibility functions for +WNTR. -The following environment variable must be set, or the command `set_msx_path` must -be run prior to trying to instantiate the EPANET-MSX toolkit. +The following environment variable must be set, or the command `set_msx_path` +must be run prior to trying to instantiate the EPANET-MSX toolkit. .. envvar:: WNTR_PATH_TO_EPANETMSX - The full path to the directory where EPANET-MSX has been installed. Specifically, - the directory should contain both toolkit files, epanet2.dll and epanetmsx.dll - (or the appropriate equivalent files for your system architecture). - + The full path to the directory where EPANET-MSX has been installed. + Specifically, the directory should contain both toolkit files, epanet2.dll + and epanetmsx.dll (or the appropriate equivalent files for your system + architecture). """ + import os as _os def set_msx_path(path): diff --git a/wntr/epanet/msx/enums.py b/wntr/epanet/msx/enums.py index e2a77fead..73d7134fc 100644 --- a/wntr/epanet/msx/enums.py +++ b/wntr/epanet/msx/enums.py @@ -1,18 +1,22 @@ -"""EPANET-MSX enum types, for use in toolkit API calls.""" +# coding: utf-8 +""" +The wntr.epanet.msx.enums module contains EPANET-MSX enum types, for use in +toolkit API calls. +""" from enum import IntEnum from wntr.utils.enumtools import add_get @add_get(prefix='MSX_') class TkObjectType(IntEnum): - """The enumeration for object type used in EPANET-MSX. - + """Enumeration for object type used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NODE @@ -48,14 +52,14 @@ class TkObjectType(IntEnum): @add_get(prefix='MSX_') class TkSourceType(IntEnum): - """The enumeration for source type used in EPANET-MSX. - + """Enumeration for source type used in EPANET-MSX. + .. warning:: These enum values start with -1. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NOSOURCE @@ -78,14 +82,14 @@ class TkSourceType(IntEnum): @add_get(prefix='MSX_') class TkUnitSystem(IntEnum): - """The enumeration for the units system used in EPANET-MSX. - + """Enumeration for the units system used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: US @@ -99,14 +103,15 @@ class TkUnitSystem(IntEnum): @add_get(prefix='MSX_') class TkFlowUnits(IntEnum): - """The enumeration for the flow units used in EPANET-MSX (determined from EPANET INP file read in with the toolkit). - + """Enumeration for the flow units used in EPANET-MSX (determined from + EPANET INP file read in with the toolkit). + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: CFS @@ -144,14 +149,14 @@ class TkFlowUnits(IntEnum): @add_get(prefix='MSX_') class TkMixType(IntEnum): - """The enumeration for the mixing model used in EPANET-MSX. - + """Enumeration for the mixing model used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: MIX1 @@ -171,14 +176,14 @@ class TkMixType(IntEnum): @add_get(prefix='MSX_') class TkSpeciesType(IntEnum): - """The enumeration for species type used in EPANET-MSX. + """Enumeration for species type used in EPANET-MSX. .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: BULK @@ -192,14 +197,14 @@ class TkSpeciesType(IntEnum): @add_get(prefix='MSX_') class TkExpressionType(IntEnum): - """The enumeration for the expression type used in EPANET-MSX. - + """Enumeration for the expression type used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NO_EXPR @@ -219,14 +224,14 @@ class TkExpressionType(IntEnum): @add_get(prefix='MSX_') class TkSolverType(IntEnum): - """The enumeration for the solver type used in EPANET-MSX. - + """Enumeration for the solver type used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: EUL @@ -243,14 +248,14 @@ class TkSolverType(IntEnum): @add_get(prefix='MSX_') class TkCouplingType(IntEnum): - """The enumeration for the coupling type option used in EPANET-MSX. - + """Enumeration for the coupling type option used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NO_COUPLING @@ -264,14 +269,14 @@ class TkCouplingType(IntEnum): @add_get(prefix='MSX_') class TkMassUnits(IntEnum): - """The enumeration for mass units used in EPANET-MSX. + """Enumeration for mass units used in EPANET-MSX. .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: MG @@ -291,14 +296,14 @@ class TkMassUnits(IntEnum): @add_get(prefix='MSX_') class TkAreaUnits(IntEnum): - """The enumeration for area units used in EPANET-MSX. - + """Enumeration for area units used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: FT2 @@ -315,14 +320,14 @@ class TkAreaUnits(IntEnum): @add_get(prefix='MSX_') class TkRateUnits(IntEnum): - """The enumeration for rate units used in EPANET-MSX. - + """Enumeration for rate units used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: SECONDS @@ -342,14 +347,14 @@ class TkRateUnits(IntEnum): @add_get(prefix='MSX_') class TkUnits(IntEnum): - """The position for units used in EPANET-MSX. - + """Position for units used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: LENGTH_UNITS @@ -379,14 +384,14 @@ class TkUnits(IntEnum): @add_get(prefix='MSX_') class TkHydVar(IntEnum): - """The enumeration for hydraulic variable used in EPANET-MSX. + """Enumeration for hydraulic variable used in EPANET-MSX. .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: DIAMETER @@ -422,14 +427,14 @@ class TkHydVar(IntEnum): @add_get(prefix='MSX_') class TkTstat(IntEnum): - """The enumeration used for time statistic in EPANET-MSX. - + """Enumeration used for time statistic in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: SERIES @@ -452,14 +457,14 @@ class TkTstat(IntEnum): @add_get(prefix='MSX_') class TkOption(IntEnum): - """The enumeration used for choosing an option in EPANET-MSX toolkit. + """Enumeration used for choosing an option in EPANET-MSX toolkit. .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: AREA_UNITS_OPTION @@ -497,14 +502,14 @@ class TkOption(IntEnum): @add_get(prefix='MSX_') class TkCompiler(IntEnum): - """The enumeration used for specifying compiler options in EPANET-MSX. - + """Enumeration used for specifying compiler options in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NO_COMPILER @@ -521,14 +526,14 @@ class TkCompiler(IntEnum): @add_get(prefix='MSX_') class TkFileMode(IntEnum): - """The enumeration for file model used in EPANET-MSX. - + """Enumeration for file model used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: SCRATCH_FILE diff --git a/wntr/epanet/msx/exceptions.py b/wntr/epanet/msx/exceptions.py index 2ed33e506..a1dcc6ee4 100644 --- a/wntr/epanet/msx/exceptions.py +++ b/wntr/epanet/msx/exceptions.py @@ -1,12 +1,12 @@ # coding: utf-8 -"""EPANET-MSX error and exception classes.""" +""" +The wntr.epanet.msx.exceptions module contains Exceptions for EPANET-MSX +IO operations. +""" -from enum import IntEnum from typing import List -from wntr.utils.enumtools import add_get - -from ..exceptions import EN_ERROR_CODES, EpanetException +from ..exceptions import EpanetException MSX_ERROR_CODES = { # MSX syntax errors @@ -52,21 +52,25 @@ :meta hide-value: """ + class EpanetMsxException(EpanetException): - def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> None: - """An Exception class for EPANET-MSX Toolkit and IO exceptions. + def __init__(self, code: int, *args: List[object], line_num=None, + line=None) -> None: + """Exception class for EPANET-MSX Toolkit and IO exceptions Parameters ---------- code : int or str or MSXErrors - The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + EPANET-MSX error code (int) or a string mapping to the MSXErrors + enum members args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to - replace the format, otherwise they will be output at the end of the Exception message. + If there is a string-format within the error code's text, these + will be used to replace the format, otherwise they will be output + at the end of the Exception message. line_num : int, optional - The line number, if reading an INP file, by default None + Line number, if reading an INP file, by default None line : str, optional - The contents of the line, by default None + Contents of the line, by default None """ if not code or int(code) < 400: return super().__init__(code, *args, line_num=line_num, line=line) @@ -87,61 +91,68 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> class MSXSyntaxError(EpanetMsxException, SyntaxError): def __init__(self, code, *args, line_num=None, line=None) -> None: - """An MSX-specific error that is due to a syntax error in an msx-file. + """MSX-specific error that is due to a syntax error in an msx-file. Parameters ---------- code : int or str or MSXErrors - The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + EPANET-MSX error code (int) or a string mapping to the MSXErrors + enum members args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to - replace the format, otherwise they will be output at the end of the Exception message. + If there is a string-format within the error code's text, these + will be used to replace the format, otherwise they will be output + at the end of the Exception message. line_num : int, optional - The line number, if reading an INP file, by default None + Line number, if reading an INP file, by default None line : str, optional - The contents of the line, by default None + Contents of the line, by default None """ super().__init__(code, *args, line_num=line_num, line=line) class MSXKeyError(EpanetMsxException, KeyError): def __init__(self, code, name, *args, line_num=None, line=None) -> None: - """An MSX-specific error that is due to a missing or unacceptably named variable/speces/etc. + """MSX-specific error that is due to a missing or unacceptably named + variable/speces/etc. Parameters ---------- code : int or str or MSXErrors - The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + EPANET-MSX error code (int) or a string mapping to the MSXErrors + enum members name : str - The key/name/id that is missing + Key/name/id that is missing args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to - replace the format, otherwise they will be output at the end of the Exception message. + If there is a string-format within the error code's text, these + will be used to replace the format, otherwise they will be output + at the end of the Exception message. line_num : int, optional - The line number, if reading an INP file, by default None + Line number, if reading an INP file, by default None line : str, optional - The contents of the line, by default None + Contents of the line, by default None """ super().__init__(code, name, *args, line_num=line_num, line=line) class MSXValueError(EpanetMsxException, ValueError): def __init__(self, code, value, *args, line_num=None, line=None) -> None: - """An MSX-specific error that is related to an invalid value. + """MSX-specific error that is related to an invalid value. Parameters ---------- code : int or str or MSXErrors - The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + EPANET-MSX error code (int) or a string mapping to the MSXErrors + enum members value : Any - The value that is invalid + Value that is invalid args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to - replace the format, otherwise they will be output at the end of the Exception message. + If there is a string-format within the error code's text, these + will be used to replace the format, otherwise they will be output + at the end of the Exception message. line_num : int, optional - The line number, if reading an INP file, by default None + Line number, if reading an INP file, by default None line : str, optional - The contents of the line, by default None + Contents of the line, by default None """ super().__init__(code, value, *args, line_num=line_num, line=line) diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index e1a87ae31..fc271d30e 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -1,5 +1,8 @@ # coding: utf-8 -"""I/O functions for EPANET-MSX toolkit compatibility""" +""" +The wntr.epanet.msx io module contains methods for reading/writing EPANET +MSX input and output files. +""" import datetime import logging @@ -13,8 +16,7 @@ import wntr.network from wntr.epanet.msx.exceptions import EpanetMsxException, MSXValueError from wntr.epanet.util import ENcomment -from wntr.network.elements import Source -from wntr.msx.base import ReactionType, VariableType, SpeciesType +from wntr.msx.base import VariableType, SpeciesType from wntr.msx.model import MsxModel sys_default_enc = sys.getdefaultencoding() @@ -79,20 +81,22 @@ def __init__(self): @classmethod def read(cls, msx_filename: str, rxn_model: MsxModel = None): """ - Read an EPANET-MSX input file (.msx) and load data into a water quality - reactions model. Only MSX 2.0 files are recognized. + Read an EPANET-MSX input file (.msx) and load data into a MsxModel. + Only MSX 2.0 files are recognized. Parameters ---------- msx_file : str - the filename of the .msx file to read in - rxn_model : WaterQualityReactionsModel, optional - the model to put data into, by default None (new model) + Filename of the .msx file to read in + rxn_model : MsxModel, optional + Multi-species water quality model to put data into, + by default None (new model) Returns ------- - WaterQualityReactionsModel - the model with the new species, reactions and other options added + MsxModel + Multi-species water quality model with the new species, reactions + and other options added """ if rxn_model is None: rxn_model = MsxModel() @@ -180,9 +184,9 @@ def write(cls, filename: str, msx: MsxModel): Parameters ---------- filename : str - the filename to write - rxn : MultispeciesQualityModel - the multispecies reaction model + Filename to write + rxn : MsxModel + Multi-species water quality model """ obj = cls() obj.rxn = msx diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py index 20aea7cd8..e7ffdd78e 100644 --- a/wntr/epanet/msx/toolkit.py +++ b/wntr/epanet/msx/toolkit.py @@ -1,18 +1,18 @@ +# coding: utf-8 """ -The wntr.reaction.toolkit module is a Python extension for the EPANET MSX +The wntr.epanet.msx.toolkit module is a Python extension for the EPANET-MSX Programmers Toolkit DLLs. .. note:: - Code in this section based on code from "EPANET-MSX-Python-wrapper", - licensed under the BSD license. See LICENSE.txt for details. + Code in this section is based on code from "EPANET-MSX-Python-wrapper", + licensed under the BSD license. See LICENSE.md for details. """ import ctypes import os import os.path import platform import sys -from ctypes import byref from typing import Union from pkg_resources import resource_filename @@ -20,7 +20,6 @@ from wntr.epanet.msx.enums import TkObjectType, TkSourceType from ..toolkit import ENepanet -from ..util import SizeLimits from .exceptions import MSX_ERROR_CODES, EpanetMsxException, MSXKeyError, MSXValueError epanet_toolkit = "wntr.epanet.toolkit" @@ -119,14 +118,14 @@ def _error(self, *args): raise EpanetMsxException(self.errcode) return - # ----------running the simulation----------------------------------------------------- + # ----------running the simulation----------------------------------------- def MSXopen(self, msxfile): """Opens the MSX Toolkit to analyze a particular distribution system. Parameters ---------- msxfile : str - name of the MSX input file + Name of the MSX input file """ if msxfile is not None: msxfile = ctypes.c_char_p(msxfile.encode()) @@ -141,7 +140,8 @@ def MSXclose(self): raise EpanetMsxException(ierr) def MSXusehydfile(self, filename): - """Uses the contents of the specified file as the current binary hydraulics file + """Uses the contents of the specified file as the current binary + hydraulics file Parameters ---------- @@ -160,22 +160,25 @@ def MSXsolveH(self): raise EpanetMsxException(ierr) def MSXinit(self, saveFlag=0): - """Initializes the MSX system before solving for water quality results in step-wise fashion - set saveFlag to 1 if water quality results should be saved to a scratch binary file, or to 0 is not saved to file""" + """Initializes the MSX system before solving for water quality results + in step-wise fashion set saveFlag to 1 if water quality results should + be saved to a scratch binary file, or to 0 is not saved to file""" saveFlag = int(saveFlag) ierr = self.ENlib.MSXinit(saveFlag) if ierr != 0: raise EpanetMsxException(ierr) def MSXsolveQ(self): - """solves for water quality over the entire simulation period and saves the results to an internal scratch file""" + """Solves for water quality over the entire simulation period and saves + the results to an internal scratch file""" ierr = self.ENlib.MSXsolveQ() if ierr != 0: raise EpanetMsxException(ierr) def MSXstep(self): """Advances the water quality simulation one water quality time step. - The time remaining in the overall simulation is returned as tleft, the current time as t.""" + The time remaining in the overall simulation is returned as tleft, the + current time as t.""" t = ctypes.c_long() tleft = ctypes.c_long() ierr = self.ENlib.MSXstep(ctypes.byref(t), ctypes.byref(tleft)) @@ -185,8 +188,9 @@ def MSXstep(self): return out def MSXsaveoutfile(self, filename): - """saves water quality results computed for each node, link and reporting time period to a named binary file - + """Saves water quality results computed for each node, link and + reporting time period to a named binary file + Parameters ---------- filename : str @@ -197,45 +201,47 @@ def MSXsaveoutfile(self, filename): raise EpanetMsxException(ierr) def MSXsavemsxfile(self, filename): - """saves the data associated with the current MSX project into a new MSX input file - + """Saves the data associated with the current MSX project into a new + MSX input file + Parameters ---------- filename : str - the name of the MSX input file to create + Name of the MSX input file to create """ ierr = self.ENlib.MSXsavemsxfile(ctypes.c_char_p(filename.encode())) if ierr != 0: raise EpanetMsxException(ierr, filename) def MSXreport(self): - """Writes water quality simulations results as instructed by the MSX input file to a text file""" + """Writes water quality simulations results as instructed by the MSX + input file to a text file""" ierr = self.ENlib.MSXreport() if ierr != 0: raise EpanetMsxException(ierr) - # ---------get parameters--------------------------------------------------------------- + # ---------get parameters-------------------------------------------------- def MSXgetindex(self, _type: Union[int, TkObjectType], name): - """Retrieves the internal index of an MSX object given its name. + """Gets the internal index of an MSX object given its name. Parameters ---------- _type : int, str or ObjectType - The type of object to get an index for + Type of object to get an index for name : str - The name of the object to get an index for + Name of the object to get an index for Returns ------- int - The internal index + Internal index Raises ------ MSXKeyError - if an invalid str is passed for _type + If an invalid str is passed for _type MSXValueError - if _type is not a valid MSX object type + If _type is not a valid MSX object type """ try: _type = TkObjectType.get(_type) @@ -249,19 +255,20 @@ def MSXgetindex(self, _type: Union[int, TkObjectType], name): return ind.value def MSXgetIDlen(self, _type, index): - """Retrieves the number of characters in the ID name of an MSX object given its internal index number. + """Get the number of characters in the ID name of an MSX object + given its internal index number. Parameters ---------- _type : int, str or ObjectType - The type of object to get an index for - index : int - The index of the object to get the ID length for + Type of object to get an index for + index : int + Index of the object to get the ID length for Returns ------- int - the length of the object ID + Length of the object ID """ try: _type = TkObjectType.get(_type) @@ -275,19 +282,19 @@ def MSXgetIDlen(self, _type, index): return len.value def MSXgetID(self, _type, index): - """Retrieves the ID name of an object given its internal index number + """Get the ID name of an object given its internal index number Parameters ---------- _type : int, str or ObjectType - The type of object to get an index for - index : int - The index of the object to get the ID for + Type of object to get an index for + index : int + Index of the object to get the ID for Returns ------- str - the object ID + Object ID """ try: _type = TkObjectType.get(_type) @@ -303,31 +310,31 @@ def MSXgetID(self, _type, index): return id.value.decode() def MSXgetinitqual(self, _type, node_link_index, species_index): - """Retrieves the initial concentration of a particular chemical species assigned to a specific node - or link of the pipe network + """Get the initial concentration of a particular chemical species + assigned to a specific node or link of the pipe network Parameters ---------- _type : str, int or ObjectType - the type of object + Type of object node_link_index : int - the object index + Object index species_index : int - the species index + Species index Returns ------- float - the initial quality value for that node or link + Initial quality value for that node or link Raises ------ MSXKeyError - the type passed in for ``_type`` is not valid + Type passed in for ``_type`` is not valid MSXValueError - the value for ``_type`` is not valid + Value for ``_type`` is not valid EpanetMsxException - any other error from the C-API + Any other error from the C-API """ try: _type = TkObjectType.get(_type) @@ -343,30 +350,31 @@ def MSXgetinitqual(self, _type, node_link_index, species_index): return iniqual.value def MSXgetqual(self, _type, node_link_index, species_index): - """Retrieves a chemical species concentration at a given node or the average concentration along a link at the current simulation time step + """Get a chemical species concentration at a given node or the + average concentration along a link at the current simulation time step Parameters ---------- _type : str, int or ObjectType - the type of object + Type of object node_link_index : int - the object index + Object index species_index : int - the species index + Species index Returns ------- float - the current quality value for that node or link + Current quality value for that node or link Raises ------ MSXKeyError - the type passed in for ``_type`` is not valid + Type passed in for ``_type`` is not valid MSXValueError - the value for ``_type`` is not valid + Value for ``_type`` is not valid EpanetMsxException - any other error from the C-API + Any other error from the C-API """ try: _type = TkObjectType.get(_type) @@ -382,22 +390,22 @@ def MSXgetqual(self, _type, node_link_index, species_index): return qual.value def MSXgetconstant(self, constant_index): - """Retrieves the value of a particular reaction constant + """Get the value of a particular reaction constant Parameters ---------- constant_index : int - index to the constant + Index to the constant Returns ------- float - the value of the constant + Value of the constant Raises ------ EpanetMsxException - a toolkit error occurred + Toolkit error occurred """ const = ctypes.c_double() ierr = self.ENlib.MSXgetconstant(constant_index, ctypes.byref(const)) @@ -406,30 +414,31 @@ def MSXgetconstant(self, constant_index): return const.value def MSXgetparameter(self, _type, node_link_index, param_index): - """Retrieves the value of a particular reaction parameter for a given TANK or PIPE. + """Get the value of a particular reaction parameter for a given + TANK or PIPE. Parameters ---------- _type : int or str or Enum - get the type of the parameter + Get the type of the parameter node_link_index : int - the link index + Link index param_index : int - the parameter variable index + Parameter variable index Returns ------- float - the parameter value + Parameter value Raises ------ MSXKeyError - if there is no such _type + If there is no such _type MSXValueError - if the _type is improper + If the _type is improper EpanetMsxException - any other error + Any other error """ try: _type = TkObjectType.get(_type) @@ -445,10 +454,24 @@ def MSXgetparameter(self, _type, node_link_index, param_index): return param.value def MSXgetsource(self, node_index, species_index): - """Retrieves information on any external source of a particular chemical species assigned to a specific node of the pipe network + """Get information on any external source of a particular + chemical species assigned to a specific node of the pipe network + + Parameters + ---------- + node_index : int + Node index + species_index : int + Species index + + Returns + ------- + list + [source type, level, and pattern] where level is the baseline + concentration (or mass flow rate) of the source and pattern the + index of the time pattern used to add variability to the source's + baseline level (0 if no pattern defined for the source) """ - #level is returned with the baseline concentration (or mass flow rate) of the source - #pat is returned with the index of the time pattern used to add variability to the source's baseline level (0 if no pattern defined for the source)""" level = ctypes.c_double() _type = ctypes.c_int() pat = ctypes.c_int() @@ -459,17 +482,17 @@ def MSXgetsource(self, node_index, species_index): return src_out def MSXgetpatternlen(self, pat): - """Retrieves the number of time periods within a SOURCE time pattern. + """Get the number of time periods within a SOURCE time pattern. Parameters ---------- pat : int - pattern index + Pattern index Returns ------- int - number of time periods in the pattern + Number of time periods in the pattern """ len = ctypes.c_int() ierr = self.ENlib.MSXgetpatternlen(pat, ctypes.byref(len)) @@ -478,19 +501,19 @@ def MSXgetpatternlen(self, pat): return len.value def MSXgetpatternvalue(self, pat, period): - """Retrieves the multiplier at a specific time period for a given SOURCE time pattern + """Get the multiplier at a specific time period for a given + SOURCE time pattern Parameters ---------- pat : int - pattern index + Pattern index period : int 1-indexed period of the pattern to retrieve Returns ------- - float - the multiplier + Multiplier """ val = ctypes.c_double() ierr = self.ENlib.MSXgetpatternvalue(pat, period, ctypes.byref(val)) @@ -499,22 +522,22 @@ def MSXgetpatternvalue(self, pat, period): return val.value def MSXgetcount(self, _type): - """Retrieves the number of objects of a specified type. + """Get the number of objects of a specified type. Parameters ---------- _type : int or str or Enum - the type of object to count + Type of object to count Returns ------- int - the number of objects of specified type + Number of objects of specified type Raises ------ MSXKeyError - if the _type is invalid + If the _type is invalid """ try: _type = TkObjectType.get(_type) @@ -528,18 +551,19 @@ def MSXgetcount(self, _type): return count.value def MSXgetspecies(self, species_index): - """Retrieves the attributes of a chemical species given its internal index number. - species is the sequence number of the species (starting from 1 as listed in the MSX input file + """Get the attributes of a chemical species given its internal + index number. Parameters ---------- species_index : int - the species to query + Species index to query (starting from 1 as listed in the MSX input + file) Returns ------- int, str, float, float - the type, units, aTol, and rTol for the species + Type, units, aTol, and rTol for the species """ type_ind = ctypes.c_int() units = ctypes.create_string_buffer(15) @@ -552,25 +576,25 @@ def MSXgetspecies(self, species_index): return spe_out def MSXgeterror(self, errcode, len=100): - """returns the text for an error message given its error code + """Get the text for an error message given its error code Parameters ---------- errcode : int - the error code + Error code len : int, optional - the length of the error message, by default 100 and minimum 80 + Length of the error message, by default 100 and minimum 80 Returns ------- str - returns a string decoded from the DLL + String decoded from the DLL Warning ------- - Getting string parameters in this way is not recommended, because it requires - setting up string arrays that may or may not be the correct size. Use the - wntr.epanet.msx.enums package to get error information. + Getting string parameters in this way is not recommended, because it + requires setting up string arrays that may or may not be the correct + size. Use the wntr.epanet.msx.enums package to get error information. """ errmsg = ctypes.create_string_buffer(len) self.ENlib.MSXgeterror(errcode, ctypes.byref(errmsg), len) @@ -579,39 +603,40 @@ def MSXgeterror(self, errcode, len=100): # --------------set parameters----------------------------------- def MSXsetconstant(self, ind, value): - """assigns a new value to a specific reaction constant + """Set a new value to a specific reaction constant Parameters ---------- ind : int - the index to the variable + Index to the variable value : float - the value to give the constant + Value to give the constant """ ierr = self.ENlib.MSXsetconstant(ctypes.c_int(ind), ctypes.c_double(value)) if ierr != 0: raise EpanetMsxException(ierr) def MSXsetparameter(self, _type, ind, param, value): - """assigns a value to a particular reaction parameter for a given TANK or PIPE + """Set a value to a particular reaction parameter for a given TANK + or PIPE Parameters ---------- _type : int or str or enum - the type of value to set + Type of value to set ind : int - the tank or pipe index + Tank or pipe index param : int - the parameter variable index + Parameter variable index value : float - the value to be set + Value to be set Raises ------ MSXKeyError - if there is no such _type + If there is no such _type MSXValueError - if the _type is invalid + If the _type is invalid """ try: _type = TkObjectType.get(_type) @@ -625,19 +650,19 @@ def MSXsetparameter(self, _type, ind, param, value): raise EpanetMsxException(ierr) def MSXsetinitqual(self, _type, ind, spe, value): - """Retrieves the initial concentration of a particular chemical species assigned to a specific node - or link of the pipe network. + """Set the initial concentration of a particular chemical species + assigned to a specific node or link of the pipe network. Parameters ---------- _type : int or str or enum - what type of network element is being set + Type of network element to set ind : int - the index of the network element + Index of the network element spe : int - the index of the species + Index of the species value : float - the initial quality value + Initial quality value """ try: _type = TkObjectType.get(_type) @@ -651,20 +676,21 @@ def MSXsetinitqual(self, _type, ind, spe, value): raise EpanetMsxException(ierr) def MSXsetsource(self, node, spe, _type, level, pat): - """sets the attributes of an external source of a particular chemical species in a specific node of the pipe network + """Set the attributes of an external source of a particular chemical + species in a specific node of the pipe network Parameters ---------- node : int - the node index + Node index spe : int - the species index + Species index _type : int or str or enum - the type of source + Type of source level : float - the source quality value + Source quality value pat : int - the pattern index + Pattern index """ try: _type = TkSourceType.get(_type) @@ -676,14 +702,14 @@ def MSXsetsource(self, node, spe, _type, level, pat): raise EpanetMsxException(ierr) def MSXsetpattern(self, pat, mult): - """assigns a new set of multipliers to a given MSX SOURCE time pattern + """Set multipliers to a given MSX SOURCE time pattern Parameters ---------- pat : int - the pattern index + Pattern index mult : list-like - the pattern multipliers + Pattern multipliers """ length = len(mult) cfactors_type = ctypes.c_double * length @@ -695,28 +721,29 @@ def MSXsetpattern(self, pat, mult): raise EpanetMsxException(ierr) def MSXsetpatternvalue(self, pat, period, value): - """Sets the multiplier factor for a specific period within a SOURCE time pattern. + """Set the multiplier factor for a specific period within a SOURCE time + pattern. Parameters ---------- pat : int - the pattern index + Pattern index period : int - the 1-indexed pattern time period index + 1-indexed pattern time period index value : float - the value to set at that time period + Value to set at that time period """ ierr = self.ENlib.MSXsetpatternvalue(ctypes.c_int(pat), ctypes.c_int(period), ctypes.c_double(value)) if ierr != 0: raise EpanetMsxException(ierr) def MSXaddpattern(self, patternid): - """Adds a new, empty MSX source time pattern to an MSX project. + """Add a new, empty MSX source time pattern to an MSX project. Parameters ---------- patternid : str - the name of the new pattern + Name of the new pattern """ ierr = self.ENlib.MSXaddpattern(ctypes.c_char_p(patternid.encode())) if ierr != 0: diff --git a/wntr/msx/__init__.py b/wntr/msx/__init__.py index e44b248fe..d563c9a97 100644 --- a/wntr/msx/__init__.py +++ b/wntr/msx/__init__.py @@ -1,11 +1,13 @@ -# -*- coding: utf-8 -*- -"""Contains definitions for EPANET Multispecies Extension (MSX) water quality modeling. +# coding: utf-8 +""" +The wntr.msx package contains methods to define EPANET Multi-species Extension +(MSX) water quality models. """ from .base import VariableType, SpeciesType, ReactionType, ExpressionType from .elements import Species, Constant, Parameter, Term, Reaction, HydraulicVariable, MathFunction from .model import MsxModel from .options import MsxSolverOptions -from .library import ReactionLibrary, cite_msx +from .library import ReactionLibrary from . import base, elements, library, model, options diff --git a/wntr/msx/_library_data/arsenic_chloramine.json b/wntr/msx/_library_data/arsenic_chloramine.json index c67e1dc13..8661afaa3 100644 --- a/wntr/msx/_library_data/arsenic_chloramine.json +++ b/wntr/msx/_library_data/arsenic_chloramine.json @@ -1,10 +1,10 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "arsenic_chloramine", "title": "Arsenic Oxidation/Adsorption Example", "description": "This example models monochloramine oxidation of arsenite/arsenate and wall adsoption/desorption, as given in section 3 of the EPANET-MSX user manual", "references": [ - "Shang, F. and Rossman, L.A. and Uber, J.G. (2023) \"EPANET-MSX 2.0 User Manual\". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199." + "Shang, F., Rossman, L. A., and Uber, J.G. (2023). EPANET-MSX 2.0 User Manual. U.S. Environmental Protection Agency, Cincinnati, OH. EPA/600/R-22/199." ], "reaction_system": { "species": [ diff --git a/wntr/msx/_library_data/batch_chloramine_decay.json b/wntr/msx/_library_data/batch_chloramine_decay.json index fc4c416db..6563c38e0 100644 --- a/wntr/msx/_library_data/batch_chloramine_decay.json +++ b/wntr/msx/_library_data/batch_chloramine_decay.json @@ -1,5 +1,5 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "batch_chloramine_decay", "title": "Batch chloramine decay example", "description": null, diff --git a/wntr/msx/_library_data/lead_ppm.json b/wntr/msx/_library_data/lead_ppm.json index 63a69e852..7d483200b 100644 --- a/wntr/msx/_library_data/lead_ppm.json +++ b/wntr/msx/_library_data/lead_ppm.json @@ -1,5 +1,5 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "lead_ppm", "title": "Lead Plumbosolvency Model (from Burkhardt et al 2020)", "description": "Parameters for EPA HPS Simulator Model", diff --git a/wntr/msx/_library_data/nicotine.json b/wntr/msx/_library_data/nicotine.json index 7603d684d..999f7b888 100644 --- a/wntr/msx/_library_data/nicotine.json +++ b/wntr/msx/_library_data/nicotine.json @@ -1,5 +1,5 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "nicotine", "title": "Nicotine - Chlorine reaction", "description": null, diff --git a/wntr/msx/_library_data/nicotine_ri.json b/wntr/msx/_library_data/nicotine_ri.json index f73267661..6554f0469 100644 --- a/wntr/msx/_library_data/nicotine_ri.json +++ b/wntr/msx/_library_data/nicotine_ri.json @@ -1,5 +1,5 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "nicotine_ri", "title": "Nicotine - Chlorine reaction with reactive intermediate", "description": null, diff --git a/wntr/msx/base.py b/wntr/msx/base.py index e795616c7..6bc035ddc 100644 --- a/wntr/msx/base.py +++ b/wntr/msx/base.py @@ -1,7 +1,9 @@ -# -*- coding: utf-8 -*- +# coding: utf-8 +""" +The wntr.msx.base module includes base classes for the multi-species water +quality model -"""The base classes for the the WNTR quality extensions module. -Other than the enum classes, the classes in this module are all abstract +Other than the enum classes, the classes in this module are all abstract and/or mixin classes, and should not be instantiated directly. """ @@ -9,8 +11,8 @@ import os from abc import ABC, abstractclassmethod, abstractmethod, abstractproperty from enum import Enum -from typing import Any, Dict, Iterator, List, Union, Generator -from wntr.epanet.util import ENcomment, NoteType +from typing import Any, Dict, Iterator, Generator +from wntr.epanet.util import NoteType from wntr.utils.disjoint_mapping import DisjointMapping from wntr.utils.enumtools import add_get @@ -59,11 +61,11 @@ def coth(x): {"name": "Av", "note": "Surface area per unit volume (area units/L) "}, {"name": "Len", "note": "Pipe length (feet or meters)"}, ] -"""The hydraulic variables defined in EPANET-MSX. +"""Hydraulic variables defined in EPANET-MSX. For reference, the valid values are provided in :numref:`table-msx-hyd-vars`. .. _table-msx-hyd-vars: -.. table:: Valid hydraulic variables in multispecies quality model expressions. +.. table:: Valid hydraulic variables in multi-species quality model expressions. ============== ================================================ **Name** **Description** @@ -149,7 +151,7 @@ def coth(x): + tuple([k.upper() for k in EXPR_FUNCTIONS.keys()]) + tuple([k.capitalize() for k in EXPR_FUNCTIONS.keys()]) ) -"""The WNTR reserved names. This includes the MSX hydraulic variables +"""WNTR reserved names. This includes the MSX hydraulic variables (see :numref:`table-msx-hyd-vars`) and the MSX defined functions (see :numref:`table-msx-funcs`). @@ -167,7 +169,7 @@ def coth(x): @add_get(abbrev=True) class VariableType(Enum): - """The type of reaction variable. + """Type of reaction variable. The following types are defined, and aliases of just the first character are also defined. @@ -190,15 +192,15 @@ class VariableType(Enum): """ SPECIES = 3 - """A chemical or biological water quality species""" + """Chemical or biological water quality species""" TERM = 4 - """A functional term, or named expression, for use in reaction expressions""" + """Functional term, or named expression, for use in reaction expressions""" PARAMETER = 5 - """A reaction expression coefficient that is parameterized by tank or pipe""" + """Reaction expression coefficient that is parameterized by tank or pipe""" CONSTANT = 6 - """A constant coefficient for use in reaction expressions""" + """Constant coefficient for use in reaction expressions""" RESERVED = 9 - """A variable that is either a hydraulic variable or other reserved word""" + """Variable that is either a hydraulic variable or other reserved word""" S = SPEC = SPECIES T = TERM @@ -209,7 +211,7 @@ class VariableType(Enum): @add_get(abbrev=True) class SpeciesType(Enum): - """The enumeration for species type. + """Enumeration for species type .. warning:: These enum values are not the same as the MSX SpeciesType. @@ -228,9 +230,9 @@ class SpeciesType(Enum): """ BULK = 1 - """bulk species""" + """Bulk species""" WALL = 2 - """wall species""" + """Wall species""" B = BULK W = WALL @@ -238,7 +240,7 @@ class SpeciesType(Enum): @add_get(abbrev=True) class ReactionType(Enum): - """What type of network component does this reaction occur in + """Reaction type which specifies the location where the reaction occurs The following types are defined, and aliases of just the first character are also defined. @@ -256,9 +258,9 @@ class ReactionType(Enum): """ PIPE = 1 - """The expression describes a reaction in pipes""" + """Expression describes a reaction in pipes""" TANK = 2 - """The expression describes a reaction in tanks""" + """Expression describes a reaction in tanks""" P = PIPE T = TANK @@ -266,7 +268,7 @@ class ReactionType(Enum): @add_get(abbrev=True) class ExpressionType(Enum): - """The type of reaction expression. + """Type of reaction expression The following types are defined, and aliases of just the first character are also defined. @@ -287,12 +289,14 @@ class ExpressionType(Enum): """ EQUIL = 1 - """used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero""" + """Equilibrium expressions where equation is being equated to zero""" RATE = 2 - """used to supply the equation that expresses the rate of change of the given species with respect to time as a function - of the other species in the model""" + """Rate expression where the equation expresses the rate of change of + the given species with respect to time as a function of the other species + in the model""" FORMULA = 3 - """used when the concentration of the named species is a simple function of the remaining species""" + """Formula expression where the concentration of the named species is a + simple function of the remaining species""" E = EQUIL R = RATE @@ -300,27 +304,27 @@ class ExpressionType(Enum): class ReactionBase(ABC): - """A water quality reaction class. + """Water quality reaction class This is an abstract class for water quality reactions with partial concrete - attribute and method definitions. All parameters - and methods documented here must be defined by a subclass except for the following: + attribute and method definitions. All parameters and methods documented + here must be defined by a subclass except for the following: - .. rubric:: Concrete attribtues + .. rubric:: Concrete attributes - The :meth:`__init__` method defines the following attributes concretely. Thus, - a subclass should call :code:`super().__init__(species_name, note=note)` at the beginning of its own - initialization. + The :meth:`__init__` method defines the following attributes concretely. + Thus, a subclass should call :code:`super().__init__(species_name, note=note)` + at the beginning of its own initialization. .. autosummary:: ~ReactionBase._species_name ~ReactionBase.note - .. rubric:: Concrete properies + .. rubric:: Concrete properties - The species name is protected, and a reaction cannot be manually assigned a new species. - Therefore, the following property is defined concretely. + The species name is protected, and a reaction cannot be manually assigned + a new species. Therefore, the following property is defined concretely. .. autosummary:: @@ -338,14 +342,15 @@ class ReactionBase(ABC): """ def __init__(self, species_name: str, *, note: NoteType = None) -> None: - """A water quality reaction definition. + """Water quality reaction definition This abstract class must be subclassed. Parameters ---------- species_name : str - The name of the chemical or biological species being modeled using this reaction. + Name of the chemical or biological species being modeled using this + reaction note : (str | dict | ENcomment), optional keyword Supplementary information regarding this reaction, by default None (see-also :class:`~wntr.epanet.util.NoteType`) @@ -353,52 +358,54 @@ def __init__(self, species_name: str, *, note: NoteType = None) -> None: Raises ------ TypeError - if expression_type is invalid + If expression_type is invalid """ if species_name is None: raise TypeError("The species_name cannot be None") self._species_name: str = str(species_name) - """The protected name of the species""" + """Protected name of the species""" self.note: NoteType = note - """An optional note regarding the reaction (see :class:`~wntr.epanet.util.NoteType`) + """Optional note regarding the reaction (see :class:`~wntr.epanet.util.NoteType`) """ @property def species_name(self) -> str: - """The name of the species that has a reaction being defined.""" + """Name of the species that has a reaction being defined.""" return self._species_name @abstractproperty def reaction_type(self) -> Enum: - """The reaction type (reaction location).""" + """Reaction type (reaction location).""" raise NotImplementedError def __str__(self) -> str: - """Return the name of the species and the reaction type, indicated by an arrow. E.g., 'HOCL->PIPE for chlorine reaction in pipes.""" + """Return the name of the species and the reaction type, indicated by + an arrow. E.g., 'HOCL->PIPE for chlorine reaction in pipes.""" return "{}->{}".format(self.species_name, self.reaction_type.name) def __repr__(self) -> str: - """Return a representation of the reaction from the dictionary representation - see :meth:`to_dict`""" + """Return a representation of the reaction from the dictionary + representation - see :meth:`to_dict`""" return "{}(".format(self.__class__.__name__) + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) + ")" @abstractmethod def to_dict(self) -> dict: - """Represent the object as a dictionary.""" + """Represent the object as a dictionary""" raise NotImplementedError class VariableBase(ABC): - """A multi-species water quality model variable. + """Multi-species water quality model variable - This is an abstract class for water quality model variables with partial definition - of concrete attributes and methods. Parameters - and methods documented here must be defined by a subclass except for the following: + This is an abstract class for water quality model variables with partial + definition of concrete attributes and methods. Parameters and methods + documented here must be defined by a subclass except for the following: - .. rubric:: Concrete attribtues + .. rubric:: Concrete attributes - The :meth:`__init__` method defines the following attributes concretely. Thus, - a subclass should call :code:`super().__init__()` at the beginning of its own - initialization. + The :meth:`__init__` method defines the following attributes concretely. + Thus, a subclass should call :code:`super().__init__()` at the beginning + of its own initialization. .. autosummary:: @@ -417,12 +424,12 @@ class VariableBase(ABC): """ def __init__(self, name: str, *, note: NoteType = None) -> None: - """Multi-species variable constructor arguments. + """Multi-species variable constructor arguments Parameters ---------- name : str - The name/symbol for the variable. Must be a valid MSX variable name. + Name/symbol for the variable. Must be a valid MSX variable name note : (str | dict | ENcomment), optional keyword Supplementary information regarding this variable, by default None (see-also :class:`~wntr.epanet.util.NoteType`) @@ -430,21 +437,21 @@ def __init__(self, name: str, *, note: NoteType = None) -> None: Raises ------ KeyExistsError - the name is already taken + Name is already taken ValueError - the name is a reserved word + Name is a reserved word """ if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") self.name: str = name - """The name/ID of this variable, must be a valid EPANET/MSX ID""" + """Name/ID of this variable, must be a valid EPANET/MSX ID""" self.note: NoteType = note - """An optional note regarding the variable (see :class:`~wntr.epanet.util.NoteType`) + """Optional note regarding the variable (see :class:`~wntr.epanet.util.NoteType`) """ @abstractproperty def var_type(self) -> Enum: - """The type of reaction variable""" + """Type of reaction variable""" raise NotImplementedError @abstractmethod @@ -457,24 +464,27 @@ def __str__(self) -> str: return self.name def __repr__(self) -> str: - """Return a representation of the variable from the dictionary representation - see :meth:`to_dict`""" + """Return a representation of the variable from the dictionary + representation - see :meth:`to_dict`""" return "{}(".format(self.__class__.__name__) + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) + ")" class ReactionSystemBase(ABC): - """Abstract class for reaction systems, which contains variables and reaction expressions. + """Abstract class for reaction systems, which contains variables and + reaction expressions. This class contains the functions necessary to perform dictionary-style addressing of *variables* by their name. It does not allow dictionary-style addressing of reactions. - This is an abstract class with some concrete attributes and methods. Parameters - and methods documented here must be defined by a subclass except for the following: + This is an abstract class with some concrete attributes and methods. + Parameters and methods documented here must be defined by a subclass + except for the following: .. rubric:: Concrete attributes - The :meth:`__init__` method defines the following attributes concretely. Thus, - a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. + The :meth:`__init__` method defines the following attributes concretely. + Thus, a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. .. autosummary:: @@ -483,8 +493,8 @@ class ReactionSystemBase(ABC): .. rubric:: Concrete methods - The following special methods are concretely provided to directly access items - in the :attr:`_vars` attribute. + The following special methods are concretely provided to directly access + items in the :attr:`_vars` attribute. .. autosummary:: :nosignatures: @@ -498,11 +508,12 @@ class ReactionSystemBase(ABC): """ def __init__(self) -> None: - """The constructor for the reaction system.""" + """Constructor for the reaction system.""" self._vars: DisjointMapping = DisjointMapping() - """The variables registry, which is mapped to dictionary functions on the reaction system object""" + """Variables registry, which is mapped to dictionary functions on the + reaction system object""" self._rxns: Dict[str, Any] = dict() - """The reactions dictionary""" + """Reactions dictionary""" @abstractmethod def add_variable(self, obj: VariableBase) -> None: @@ -516,12 +527,12 @@ def add_reaction(self, obj: ReactionBase) -> None: @abstractmethod def variables(self) -> Generator[Any, Any, Any]: - """A generator looping through all variables""" + """Generator looping through all variables""" raise NotImplementedError @abstractmethod def reactions(self) -> Generator[Any, Any, Any]: - """A generator looping through all reactions""" + """Generator looping through all reactions""" raise NotImplementedError @abstractmethod @@ -549,11 +560,11 @@ def __len__(self) -> int: class VariableValuesBase(ABC): - """Abstract class for a variable's network-specific values. + """Abstract class for a variable's network-specific values This class should contain values for different pipes, tanks, etc., that correspond to a specific network for the reaction - system. It can be used for intial concentration values, or + system. It can be used for initial concentration values, or for initial settings on parameters, but should be information that is clearly tied to a specific type of variable. @@ -563,23 +574,17 @@ class VariableValuesBase(ABC): @abstractproperty def var_type(self) -> Enum: - """The type of variable this object holds data for.""" + """Type of variable this object holds data for.""" raise NotImplementedError @abstractmethod def to_dict(self) -> dict: - """Represent a specific variable's network-specific values as a dictionary. - - Returns - ------- - dict - the network-specific values for a specific variable - """ + """Represent the object as a dictionary""" raise NotImplementedError class NetworkDataBase(ABC): - """Abstract class containing network specific data. + """Abstract class containing network specific data This class should be populated with things like initial quality, sources, parameterized values, etc. @@ -590,26 +595,21 @@ class NetworkDataBase(ABC): @abstractmethod def to_dict(self) -> dict: - """Represent the quality-relevant network-specific data as a dictionary. - - Returns - ------- - dict - the quality-relevant network data - """ + """Represent the object as a dictionary""" raise NotImplementedError class QualityModelBase(ABC): - """Abstract water quality model. + """Abstract multi-species water quality model - This is an abstract class for a water quality model. All parameters - and methods documented here must be defined by a subclass except for the following: + This is an abstract class for a water quality model. All parameters and + methods documented here must be defined by a subclass except for the + following: .. rubric:: Concrete attributes - The :meth:`__init__` method defines the following attributes concretely. Thus, - a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. + The :meth:`__init__` method defines the following attributes concretely. + Thus, a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. .. autosummary:: @@ -624,34 +624,34 @@ class QualityModelBase(ABC): """ def __init__(self, filename=None): - """Abstract water quality model. + """Abstract water quality model Parameters ---------- filename : str, optional - the file to use to populate the initial data + File to use to populate the initial data """ self.name: str = None if filename is None else os.path.splitext(os.path.split(filename)[1])[0] - """A name for the model, or the MSX model filename (no spaces allowed)""" + """Name for the model, or the MSX model filename (no spaces allowed)""" self.title: str = None - """The title line from the MSX file, must be a single line""" + """Title line from the MSX file, must be a single line""" self.description: str = None - """A longer description; note that multi-line descriptions may not be + """Longer description; note that multi-line descriptions may not be represented well in dictionary form""" self._orig_file: str = filename - """The protected original filename, if provided in the constructor""" + """Protected original filename, if provided in the constructor""" self._options = None - """The protected options data object""" + """Protected options data object""" self._rxn_system: ReactionSystemBase = None - """The protected reaction system object""" + """Protected reaction system object""" self._net_data: NetworkDataBase = None - """The protected network data object""" + """Protected network data object""" self._wn = None - """The protected water network object""" + """Protected water network object""" @abstractproperty def options(self): - """The model options structure. + """Model options structure Concrete classes should implement this with the appropriate typing and also implement a setter method. @@ -660,7 +660,7 @@ def options(self): @abstractproperty def reaction_system(self) -> ReactionSystemBase: - """The reaction variables defined for this model. + """Reaction variables defined for this model Concrete classes should implement this with the appropriate typing. """ @@ -668,7 +668,7 @@ def reaction_system(self) -> ReactionSystemBase: @abstractproperty def network_data(self) -> NetworkDataBase: - """The network-specific values added to this model. + """Network-specific values added to this model Concrete classes should implement this with the appropriate typing. """ @@ -676,27 +676,21 @@ def network_data(self) -> NetworkDataBase: @abstractmethod def to_dict(self) -> dict: - """Represent the model as a dictionary. - - Returns - ------- - dict - A dictionary representation of a water quality model - """ + """Represent the object as a dictionary""" raise NotImplementedError @abstractclassmethod def from_dict(self, data: dict) -> "QualityModelBase": - """Create a new model from a dictionary. + """Create a new model from a dictionary Parameters ---------- data : dict - A dictionary representation of a water quality model + Dictionary representation of the model Returns ------- QualityModelBase - the new concrete water quality model + New concrete model """ raise NotImplementedError diff --git a/wntr/msx/elements.py b/wntr/msx/elements.py index 82fa4236f..3499a59ef 100644 --- a/wntr/msx/elements.py +++ b/wntr/msx/elements.py @@ -1,11 +1,14 @@ -# -*- coding: utf-8 -*- - -"""Concrete implementations of MSX classes. +# coding: utf-8 +""" +The wntr.msx.elements module includes concrete implementations of the +multi-species water quality model elements, including species, constants, +parameters, terms, and reactions. """ + from __future__ import annotations import logging -from typing import Any, Dict, Literal, Tuple, Union +from typing import Any, Dict, Tuple, Union from wntr.epanet.util import ENcomment, NoteType from wntr.utils.disjoint_mapping import KeyExistsError @@ -25,7 +28,7 @@ class Species(VariableBase): - """A biological or chemical species that impacts water quality. + """Biological or chemical species """ def __init__( @@ -41,44 +44,46 @@ def __init__( _vars: ReactionSystemBase = None, _vals: VariableValuesBase = None, ) -> None: - """A biological or chemical species. + """Biological or chemical species Parameters ---------- name - The species name + Species name species_type - The species type + Species type units - The units of mass for this species, see :attr:`units` property. + Units of mass for this species, see :attr:`units` property. atol : float | None - The absolute tolerance when solving this species' equations, by default None + Absolute tolerance when solving this species' equations, by default + None rtol : float | None - The relative tolerance when solving this species' equations, by default None + Relative tolerance when solving this species' equations, by default + None note Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.NoteType`) diffusivity Diffusivity of the species in water, by default None _vars - the reaction system this species is a part of, by default None + Reaction system this species is a part of, by default None _vals - the initial quality values for this species, by default None + Initial quality values for this species, by default None Raises ------ KeyExistsError - if the name has already been used + If the name has already been used TypeError - if `atol` and `rtol` are not the same type + If `atol` and `rtol` are not the same type ValueError - if `atol` or `rtol` ≤ 0 + If `atol` or `rtol` ≤ 0 Notes ----- - EPANET-MSX requires that `atol` and `rtol` either both be omitted, or both be provided. - In order to enforce this, the arguments passed for `atol` and `rtol` must both be None - or both be positive values. + EPANET-MSX requires that `atol` and `rtol` either both be omitted, or + both be provided. In order to enforce this, the arguments passed for + `atol` and `rtol` must both be None or both be positive values. """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -94,12 +99,12 @@ def __init__( self._tolerances: Tuple[float, float] = None self.set_tolerances(atol, rtol) self.units: str = units - """The units of mass for this species. - For bulk species, concentration is this unit divided by liters, for wall species, concentration is this unit - divided by the model's area-unit (see options). + """Units of mass for this species. For bulk species, concentration is + this unit divided by liters, for wall species, concentration is this + unit divided by the model's area-unit (see options). """ self.diffusivity: float = diffusivity - """The diffusivity of this species in water, if being used, by default None""" + """Diffusivity of this species in water, if being used, by default None""" self._vars: ReactionSystemBase = _vars self._vals: InitialQuality = _vals @@ -112,16 +117,16 @@ def set_tolerances(self, atol: float, rtol: float): Parameters ---------- atol - The absolute tolerance to use + Absolute tolerance to use rtol - The relative tolerance to use + Relative tolerance to use Raises ------ TypeError - if only one of `atol` or `rtol` is a float + If only one of `atol` or `rtol` is a float ValueError - if `atol` or `rtol` ≤ 0 + If `atol` or `rtol` ≤ 0 """ if (atol is None) ^ (rtol is None): raise TypeError("atol and rtol must both be float or both be None") @@ -138,41 +143,43 @@ def get_tolerances(self) -> Union[Tuple[float, float], None]: Returns ------- (atol, rtol) : (float, float) or None - absolute and relative tolerances, respectively, if they are set + Absolute and relative tolerances, respectively, if they are set """ return self._tolerances def clear_tolerances(self): - """Set both tolerances to None, reverting to the global options value.""" + """Set both tolerances to None, reverting to the global options value. + """ self._tolerances = None @property def atol(self) -> float: - """The absolute tolerance. Must be set using :meth:`set_tolerances`""" + """Absolute tolerance. Must be set using :meth:`set_tolerances`""" if self._tolerances is not None: return self._tolerances[0] return None @property def rtol(self) -> float: - """The relative tolerance. Must be set using :meth:`set_tolerances`""" + """Relative tolerance. Must be set using :meth:`set_tolerances`""" if self._tolerances is not None: return self._tolerances[1] return None @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`.""" return VariableType.SPECIES @property def species_type(self) -> SpeciesType: - """The type of species, either :attr:`~wntr.msx.base.SpeciesType.BULK` or :attr:`~wntr.msx.base.SpeciesType.WALL`""" + """Type of species, either :attr:`~wntr.msx.base.SpeciesType.BULK` + or :attr:`~wntr.msx.base.SpeciesType.WALL`""" return self._species_type @property def initial_quality(self) -> 'InitialQuality': - """If a specific network has been linked, then the initial quality values for the network""" + """Initial quality values for the network""" if self._vals is not None: return self._vals else: @@ -180,7 +187,7 @@ def initial_quality(self) -> 'InitialQuality': @property def pipe_reaction(self) -> 'Reaction': - """The pipe reaction definition""" + """Pipe reaction definition""" if self._vars is not None: return self._vars.pipe_reactions[self.name] else: @@ -188,14 +195,14 @@ def pipe_reaction(self) -> 'Reaction': @property def tank_reaction(self) -> 'Reaction': - """The tank reaction definition""" + """Tank reaction definition""" if self._vars is not None: return self._vars.tank_reactions[self.name] else: raise AttributeError("This species is not connected to a ReactionSystem") def to_dict(self) -> Dict[str, Any]: - """Create a dictionary representation of the object + """Dictionary representation of the object The species dictionary has the following format, as described using a json schema. @@ -249,23 +256,23 @@ def to_dict(self) -> Dict[str, Any]: class Constant(VariableBase): - """A constant coefficient for use in reaction expressions.""" + """Constant coefficient for use in expressions""" def __init__(self, name: str, value: float, *, units: str = None, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None) -> None: - """A variable representing a constant value. + """Constant coefficient for use in expressions Parameters ---------- name - The name of the variable. + Name of the variable. value - The constant value. + Constant value. units Units for the variable, by default None note Supplementary information regarding this variable, by default None _vars - the reaction system this constant is a part of, by default None + Reaction system this constant is a part of, by default None """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -273,9 +280,9 @@ def __init__(self, name: str, value: float, *, units: str = None, note: Union[st if _vars is not None and name in _vars: raise KeyExistsError("This variable name is already taken") self.value: float = float(value) - """The value of the constant""" + """Value of the constant""" self.units: str = units - """The units of the constant""" + """Units of the constant""" self._vars: ReactionSystemBase = _vars def __call__(self, *, t=None) -> Any: @@ -283,10 +290,11 @@ def __call__(self, *, t=None) -> Any: @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.CONSTANT`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.CONSTANT`.""" return VariableType.CONSTANT def to_dict(self) -> Dict[str, Any]: + """Dictionary representation of the object""" ret = dict(name=self.name, value=self.value) if self.units: ret["units"] = self.units @@ -298,27 +306,27 @@ def to_dict(self) -> Dict[str, Any]: class Parameter(VariableBase): - """A coefficient that is parameterized by pipe/tank.""" + """Parameterized variable for use in expressions""" def __init__( self, name: str, global_value: float, *, units: str = None, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None, _vals: VariableValuesBase = None ) -> None: - """A parameterized variable for use in expressions. + """Parameterized variable for use in expressions Parameters ---------- name - The name of this parameter. + Name of this parameter. global_value - The global value for the parameter if otherwise unspecified. + Global value for the parameter if otherwise unspecified. units - The units for this parameter, by default None + Units for this parameter, by default None note Supplementary information regarding this variable, by default None _vars - the reaction system this parameter is a part of, by default None + Reaction system this parameter is a part of, by default None _vals - the netork-specific values for this parameter, by default None + Network-specific values for this parameter, by default None """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -343,21 +351,22 @@ def __call__(self, *, pipe: str = None, tank: str = None) -> float: Parameters ---------- pipe - the name of a pipe to get the parameter value for, by default None + Name of a pipe to get the parameter value for, by default None tank - the name of a pipe to get the parameter value for, by default None + Name of a pipe to get the parameter value for, by default None Returns ------- float - the value at the specified pipe or tank, or the global value + Value at the specified pipe or tank, or the global value Raises ------ TypeError - if both pipe and tank are specified + If both pipe and tank are specified ValueError - if there is no ParameterValues object defined for and linked to this parameter + If there is no ParameterValues object defined for and linked to + this parameter """ if pipe is not None and tank is not None: raise TypeError("Both pipe and tank cannot be specified at the same time") @@ -371,10 +380,11 @@ def __call__(self, *, pipe: str = None, tank: str = None) -> float: @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`.""" return VariableType.PARAMETER def to_dict(self) -> Dict[str, Any]: + """Dictionary representation of the object""" ret = dict(name=self.name, global_value=self.global_value) if self.units: ret["units"] = self.units @@ -386,21 +396,23 @@ def to_dict(self) -> Dict[str, Any]: class Term(VariableBase): - """A named expression that can be used as a term in other expressions.""" + """Named expression (term) that can be used in expressions""" - def __init__(self, name: str, expression: str, *, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None) -> None: - """A named expression that can be used as a term in other expressions. + def __init__(self, name: str, expression: str, *, + note: Union[str, dict, ENcomment] = None, + _vars: ReactionSystemBase = None) -> None: + """Named expression (term) that can be used in expressions Parameters ---------- name - The variable name. + Variable name. expression - The mathematical expression to be aliased + Mathematical expression to be aliased note Supplementary information regarding this variable, by default None _vars - the reaction system this species is a part of, by default None + Reaction system this species is a part of, by default None """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -408,15 +420,16 @@ def __init__(self, name: str, expression: str, *, note: Union[str, dict, ENcomme if _vars is not None and name in _vars: raise KeyExistsError("This variable name is already taken") self.expression: str = expression - """The expression that is aliased by this term""" + """Expression that is aliased by this term""" self._vars: ReactionSystemBase = _vars @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.TERM`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.TERM`.""" return VariableType.TERM def to_dict(self) -> Dict[str, Any]: + """Dictionary representation of the object""" ret = dict(name=self.name, expression=self.expression) if isinstance(self.note, ENcomment): ret["note"] = self.note.to_dict() @@ -426,70 +439,71 @@ def to_dict(self) -> Dict[str, Any]: class ReservedName(VariableBase): - """An object representing a reserved name that should not be used by the user.""" + """Reserved name that should not be used""" def __init__(self, name: str, *, note: Union[str, dict, ENcomment] = None) -> None: - """An object representing a reserved name that should not be used by the user. + """Reserved name that should not be used Parameters ---------- name - The reserved name. + Reserved name. note Supplementary information regarding this variable, by default None Raises ------ KeyExistsError - if the name has already been registered + If the name has already been registered """ self.name: str = name self.note: Union[str, dict, ENcomment] = note @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.RESERVED`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.RESERVED`.""" return VariableType.RESERVED def to_dict(self) -> Dict[str, Any]: + """Dictionary representation of the object""" return "{}({})".format(self.__class__.__name__, ", ".join(["name={}".format(repr(self.name)), "note={}".format(repr(self.note))])) class HydraulicVariable(ReservedName): - """A variable representing instantaneous hydraulics data.""" + """Reserved name for hydraulic variables""" def __init__(self, name: str, units: str = None, *, note: Union[str, dict, ENcomment] = None) -> None: - """A variable representing instantaneous hydraulics data. + """Reserved name for hydraulic variables The user should not need to create any variables using this class, they - are created automatically by the MultispeciesModel object during initialization. + are created automatically by the MsxModel object during initialization. Parameters ---------- name - The name of the variable (predefined by MSX) + Name of the variable (predefined by MSX) units - The units for hydraulic variable, by default None + Units for hydraulic variable, by default None note Supplementary information regarding this variable, by default None """ super().__init__(name, note=note) self.units: str = units - """The hydraulic variable's units""" + """Hydraulic variable's units""" class MathFunction(ReservedName): - """A variable that is actually a mathematical function defined by MSX.""" + """Reserved name for math functions""" def __init__(self, name: str, func: callable, *, note: Union[str, dict, ENcomment] = None) -> None: - """A variable that is actually a mathematical function defined by MSX. + """Reserved name for math functions Parameters ---------- name - The function name + Function name func - The callable function + Callable function note Supplementary information regarding this variable, by default None """ @@ -503,7 +517,7 @@ def __call__(self, *args: Any, **kwds: Any) -> Any: class Reaction(ReactionBase): - """A water quality biochemical reaction dynamics definition for a specific species.""" + """Water quality reaction dynamics definition for a specific species""" def __init__( self, @@ -515,22 +529,24 @@ def __init__( note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None, ) -> None: - """A water quality biochemical reaction dynamics definition for a specific species. + """Water quality reaction dynamics definition for a specific species Parameters ---------- species_name - The species (object or name) this reaction is applicable to. + Species (object or name) this reaction is applicable to. reaction_type - The type of reaction, either PIPE or TANK + Reaction type (location), from {PIPE, TANK} expression_type - The type of reaction dynamics being described by the expression: one of RATE, FORMULA, or EQUIL. + Expression type (left-hand-side) of the equation, from + {RATE, EQUIL, FORMULA} expression - The mathematical expression for the right-hand-side of the reaction equation. + Mathematical expression for the right-hand-side of the reaction + equation. note Supplementary information regarding this variable, by default None _vars - the reaction system this species is a part of, by default None + Reaction system this species is a part of, by default None """ super().__init__(species_name=species_name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -546,20 +562,26 @@ def __init__( if not expression: raise TypeError("expression cannot be None") self.expression: str = expression - """The mathematical expression (right-hand-side)""" + """Mathematical expression (right-hand-side)""" self._vars: ReactionSystemBase = _vars @property def expression_type(self) -> ExpressionType: - """The expression type (left-hand-side), either :attr:`~wntr.msx.base.ExpressionType.RATE`, :attr:`~wntr.msx.base.ExpressionType.EQUIL`, or :attr:`~wntr.msx.base.ExpressionType.FORMULA`""" + """Expression type (left-hand-side), either + :attr:`~wntr.msx.base.ExpressionType.RATE`, + :attr:`~wntr.msx.base.ExpressionType.EQUIL`, or + :attr:`~wntr.msx.base.ExpressionType.FORMULA`""" return self._expr_type @property def reaction_type(self) -> ReactionType: - """The reaction type (reaction location), either :attr:`~wntr.msx.base.ReactionType.PIPE` or :attr:`~wntr.msx.base.ReactionType.TANK`""" + """Reaction type (location), either + :attr:`~wntr.msx.base.ReactionType.PIPE` or + :attr:`~wntr.msx.base.ReactionType.TANK`""" return self.__rxn_type def to_dict(self) -> dict: + """Dictionary representation of the object""" ret = dict(species_name=str(self.species_name), expression_type=self.expression_type.name.lower(), expression=self.expression) if isinstance(self.note, ENcomment): ret["note"] = self.note.to_dict() @@ -569,22 +591,24 @@ def to_dict(self) -> dict: class InitialQuality(VariableValuesBase): - """A container for initial quality values for a species in a specific network.""" + """Initial quality values for a species in a specific network""" def __init__(self, global_value: float = 0.0, node_values: dict = None, link_values: dict = None): - """The initial quality values for a species. + """Initial quality values for a species in a specific network Parameters ---------- global_value - the global initial quality value, by default 0.0 + Global initial quality value, by default 0.0 node_values - any different initial quality values for specific nodes, by default None + Any different initial quality values for specific nodes, + by default None link_values - any different initial quality values for specific links, by default None + Any different initial quality values for specific links, + by default None """ self.global_value = global_value - """The global initial quality values for this species.""" + """Global initial quality values for this species.""" self._node_values = node_values if node_values is not None else dict() self._link_values = link_values if link_values is not None else dict() @@ -595,35 +619,41 @@ def __repr__(self) -> str: @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`, this object holds data for.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`, + this object holds data for.""" return VariableType.SPECIES @property def node_values(self) -> Dict[str, float]: - """A mapping that overrides the global_value of the initial quality at specific nodes""" + """Mapping that overrides the global_value of the initial quality at + specific nodes""" return self._node_values @property def link_values(self) -> Dict[str, float]: - """A mapping that overrides the global_value of the initial quality in specific links""" + """Mapping that overrides the global_value of the initial quality in + specific links""" return self._link_values def to_dict(self) -> Dict[str, Dict[str, float]]: + """Dictionary representation of the object""" return dict(global_value=self.global_value, node_values=self._node_values.copy(), link_values=self._link_values.copy()) class ParameterValues(VariableValuesBase): - """A container for pipe and tank specific values of a parameter for a specific network.""" + """Pipe and tank specific values of a parameter for a specific network""" def __init__(self, *, pipe_values: dict = None, tank_values: dict = None) -> None: - """The non-global values for a parameter. + """Pipe and tank specific values of a parameter for a specific network Parameters ---------- pipe_values - any different values for this parameter for specific pipes, by default None + Any different values for this parameter for specific pipes, + by default None tank_values - any different values for this parameter for specific tanks, by default None + Any different values for this parameter for specific tanks, + by default None """ self._pipe_values = pipe_values if pipe_values is not None else dict() self._tank_values = tank_values if tank_values is not None else dict() @@ -633,18 +663,22 @@ def __repr__(self) -> str: @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`, this object holds data for.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`, + this object holds data for.""" return VariableType.PARAMETER @property def pipe_values(self) -> Dict[str, float]: - """A mapping that overrides the global_value of a parameter for a specific pipe""" + """Mapping that overrides the global_value of a parameter for a + specific pipe""" return self._pipe_values @property def tank_values(self) -> Dict[str, float]: - """A mapping that overrides the global_value of a parameter for a specific tank""" + """Mapping that overrides the global_value of a parameter for a + specific tank""" return self._tank_values def to_dict(self) -> Dict[str, Dict[str, float]]: + """Dictionary representation of the object""" return dict(pipe_values=self._pipe_values.copy(), tank_values=self._tank_values.copy()) diff --git a/wntr/msx/library.py b/wntr/msx/library.py index 76f00a173..62ce4d1ea 100644 --- a/wntr/msx/library.py +++ b/wntr/msx/library.py @@ -1,18 +1,19 @@ -# -*- coding: utf-8 -*- - -r"""A library of common MSX reactions. - +# coding: utf-8 +""" +The wntr.msx.library module includes a library of multi-species water +models .. rubric:: Environment Variable .. envvar:: WNTR_RXN_LIBRARY_PATH This environment variable, if set, will add additional folder(s) to the - path to search for quality model files, (files with an ".msx", ".yaml", - or ".json" file extension). + path to search for multi-species water quality model files, + (files with an ".msx", ".yaml", or ".json" file extension). Multiple folders should be separated using the "``;``" character. See :class:`~wntr.msx.library.ReactionLibrary` for more details. """ + from __future__ import annotations import json @@ -44,67 +45,49 @@ logger = logging.getLogger(__name__) -def cite_msx() -> dict: - """A citation generator for the EPANET-MSX user guide. - - Returns - ------- - str - Shang, F. and Rossman, L.A. and Uber, J.G. (2023) "EPANET-MSX 2.0 User Manual". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199. - """ - return 'Shang, F. and Rossman, L.A. and Uber, J.G. (2023) "EPANET-MSX 2.0 User Manual". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199.' - # return dict( - # entry_type="report", - # key="SRU23", - # fields=dict( - # title="EPANET-MSX 2.0 User Manual", - # year=2023, - # author="Shang, F. and Rossman, L.A. and Uber, J.G.", - # institution="Water Infrastructure Division (CESER), U.S. Environmental Protection Agency", - # location="Cincinnati, OH", - # number="EPA/600/R-22/199", - # ), - # ) - - class ReactionLibrary: - """A library of multispecies reaction definitions. + """Library of multi-species water quality models - This object can be accessed and treated like a dictionary, where keys are the model - names and the values are the model objects. + This object can be accessed and treated like a dictionary, where keys are + the model names and the values are the model objects. Paths are added/processed in the following order: 1. the builtin directory of reactions, - 2. any paths specified in the environment variable described below, with directories listed - first having the highest priority, - 3. any extra paths specified in the constructor, searched in the order provided. + 2. any paths specified in the environment variable described below, with + directories listed first having the highest priority, + 3. any extra paths specified in the constructor, searched in the order + provided. + + Once created, the library paths cannot be modified. However, a model can + be added to the library using :meth:`add_model_from_file` or + :meth:`add_models_from_dir`. - Once created, the library paths cannot be modified. However, a model can be added - to the library using :meth:`add_model_from_file` or :meth:`add_models_from_dir`. """ - def __init__(self, extra_paths: List[str] = None, include_builtins=True, include_envvar_paths=True, load=True) -> None: - """A library of multispecies reaction definitions. + def __init__(self, extra_paths: List[str] = None, include_builtins=True, + include_envvar_paths=True, load=True) -> None: + """Library of multi-species water quality models Parameters ---------- extra_paths : list of str, optional - user-specified list of reaction library directories, by default None + User-specified list of reaction library directories, by default + None include_builtins : bool, optional - load files built-in with wntr, by default True + Load files built-in with WNTR, by default True include_envvar_paths : bool, optional - load files from the paths specified in :envvar:`WNTR_RXN_LIBRARY_PATH`, by default True + Load files from the paths specified in + :envvar:`WNTR_RXN_LIBRARY_PATH`, by default True load : bool or str, optional - load the files immediately on creation, by default True. - + Load the files immediately on creation, by default True. If a string, then it will be passed as the `duplicates` argument to the load function. See :meth:`reset_and_reload` for details. Raises ------ TypeError - if `extra_paths` is not a list + If `extra_paths` is not a list """ if extra_paths is None: extra_paths = list() @@ -142,20 +125,20 @@ def __repr__(self) -> str: return "{}({})".format(self.__class__.__name__, repr(self.__library_paths)) def path_list(self) -> List[str]: - """Get the original list of paths used for this library. + """List of paths used to populate the library Returns ------- list of str - a copy of the paths used to **initially** populate this library + Copy of the paths used to **initially** populate the library """ return self.__library_paths.copy() def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, Any]]: - """Load data from the configured directories into a library of models. + """Load data from the configured directories into a library of models - Note, this function is not recursive and does not 'walk' any of the library's - directories to look for subfolders. + Note, this function is not recursive and does not 'walk' any of the + library's directories to look for subfolders. The ``duplicates`` argument specifies how models that have the same name, or that have the same filename if a name isn't specified in the file, @@ -187,13 +170,13 @@ def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, An Raises ------ TypeError - if `duplicates` is not a string + If `duplicates` is not a string ValueError - if `duplicates` is not a valid value + If `duplicates` is not a valid value IOError - if `path_to_folder` is not a directory + If `path_to_folder` is not a directory KeyError - if `duplicates` is ``"error"`` and two models have the same name + If `duplicates` is ``"error"`` and two models have the same name """ if duplicates and not isinstance(duplicates, str): raise TypeError("The `duplicates` argument must be None or a string") @@ -207,44 +190,43 @@ def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, An return load_errors def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> List[Tuple[str, str, Union[MsxModel, Exception]]]: - """Load all valid model files in a folder. - - Note, this function is not recursive and does not 'walk' a directory tree. + """Load all valid model files in a folder - The ``duplicates`` argument specifies how models that have the same name, - or that have the same filename if a name isn't specified in the file, - are handled. **Warning**, if two files in the same directory have models - with the same name, there is no guarantee which will be read in first. + Note, this function is not recursive and does not 'walk' a directory + tree. Parameters ---------- path_to_dir : str - the path to the folder to search + Path to the folder to search duplicates : {"error", "skip", "replace"}, optional + Specifies how models that have the same name, or that have the same + filename if a name isn't specified in the file, are handled. + **Warning**, if two files in the same directory have models with + the same name, there is no guarantee which will be read in first, by default ``"error"`` - - - A value of of ``"error"`` raises an exception and stops execution. - - A value of ``"skip"`` will skip models with the same `name` as a model that already - exists in the library. - - A value of ``"replace"`` will replace any existing model with a model that is read - in that has the same `name`. + - A value of of ``"error"`` raises an exception and stops execution + - A value of ``"skip"`` will skip models with the same `name` as a + model that already exists in the library. + - A value of ``"replace"`` will replace any existing model with a + model that is read in that has the same `name`. Returns ------- (filename, reason, obj) : tuple[str, str, Any] - the file not read in, the cause of the problem, and the object that was skipped/overwritten - or the exception raised + File not read in, the cause of the problem, and the object that was + skipped/overwritten or the exception raised Raises ------ TypeError - if `duplicates` is not a string + If `duplicates` is not a string ValueError - if `duplicates` is not a valid value + If `duplicates` is not a valid value IOError - if `path_to_folder` is not a directory + If `path_to_folder` is not a directory KeyError - if `duplicates` is ``"error"`` and two models have the same name + If `duplicates` is ``"error"`` and two models have the same name """ if duplicates and not isinstance(duplicates, str): raise TypeError("The `duplicates` argument must be None or a string") @@ -309,7 +291,7 @@ def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> Li return load_errors def add_model_from_file(self, path_and_filename: str, name: str = None): - """Load a reaction model from a file and add it to the model. + """Load a model from a file and add it to the library Note, this **does not check** to see if a model exists with the same name, and it will automatically overwrite the existing model if one @@ -349,22 +331,22 @@ def add_model_from_file(self, path_and_filename: str, name: str = None): self.__data[new.name] = new def get_model(self, name: str) -> MsxModel: - """Get a reaction model from the library by model name. + """Get a model from the library by model name Parameters ---------- name : str - the name of the model + Name of the model Returns ------- MsxModel - the model object + Model object """ return self.__data[name] def model_name_list(self) -> List[str]: - """Get the names of all models in the library. + """Get the names of all models in the library Returns ------- diff --git a/wntr/msx/model.py b/wntr/msx/model.py index 4d9749c3d..49bf90058 100644 --- a/wntr/msx/model.py +++ b/wntr/msx/model.py @@ -1,13 +1,15 @@ -# -*- coding: utf-8 -*- - -"""The WNTR MSX model. +# coding: utf-8 +""" +The wntr.msx.model module includes methods to build a multi-species water +quality model. """ + from __future__ import annotations import logging import warnings -from typing import Any, Dict, Generator, List, NewType, Union -from wntr.epanet.util import ENcomment, NoteType +from typing import Dict, Generator, List, Union +from wntr.epanet.util import NoteType from wntr.utils.disjoint_mapping import KeyExistsError @@ -18,7 +20,6 @@ ReactionBase, NetworkDataBase, ReactionSystemBase, - VariableBase, ExpressionType, ReactionType, SpeciesType, @@ -34,7 +35,8 @@ class MsxReactionSystem(ReactionSystemBase): - """A registry for all the variables registered in the multispecies reactions model. + """Registry for all the variables registered in the multi-species reactions + model. This object can be used like a mapping. """ @@ -53,32 +55,32 @@ def __init__(self) -> None: @property def species(self) -> Dict[str, Species]: - """The dictionary view onto only species""" + """Dictionary view onto only species""" return self._species @property def constants(self) -> Dict[str, Constant]: - """The dictionary view onto only constants""" + """Dictionary view onto only constants""" return self._const @property def parameters(self) -> Dict[str, Parameter]: - """The dictionary view onto only parameters""" + """Dictionary view onto only parameters""" return self._param @property def terms(self) -> Dict[str, Term]: - """The dictionary view onto only named terms""" + """Dictionary view onto only named terms""" return self._term @property def pipe_reactions(self) -> Dict[str, Reaction]: - """The dictionary view onto pipe reactions""" + """Dictionary view onto pipe reactions""" return self._pipes @property def tank_reactions(self) -> Dict[str, Reaction]: - """The dictionary view onto tank reactions""" + """Dictionary view onto tank reactions""" return self._tanks def add_variable(self, variable: MsxVariable) -> None: @@ -90,14 +92,14 @@ def add_variable(self, variable: MsxVariable) -> None: Parameters ---------- variable - The variable to add. + Variable to add. Raises ------ TypeError - if `variable` is not an MsxVariable + If `variable` is not an MsxVariable KeyExistsError - if `variable` has a name that is already used in the registry + If `variable` has a name that is already used in the registry """ if not isinstance(variable, (Species, Constant, Parameter, Term, MathFunction, HydraulicVariable)): raise TypeError("Expected AVariable object") @@ -112,14 +114,14 @@ def add_reaction(self, reaction: Reaction) -> None: Parameters ---------- reaction : Reaction - a water quality reaction definition + Water quality reaction definition Raises ------ TypeError - if `reaction` is not a Reaction + If `reaction` is not a Reaction KeyError - if the `species_name` in the `reaction` does not exist in the model + If the `species_name` in the `reaction` does not exist in the model """ if not isinstance(reaction, Reaction): raise TypeError("Expected a Reaction object") @@ -129,17 +131,18 @@ def add_reaction(self, reaction: Reaction) -> None: def variables(self) -> Generator[tuple, None, None]: # FIXME: rename without "all_" for this - """A generator looping through all variables""" + """Generator looping through all variables""" for k, v in self._vars.items(): yield k, v.var_type.name.lower(), v def reactions(self) -> Generator[tuple, None, None]: - """A generator looping through all reactions""" + """Generator looping through all reactions""" for k2, v in self._rxns.items(): for k1, v1 in v.items(): yield k1, k2, v1 def to_dict(self) -> dict: + """Dictionary representation of the MsxModel.""" return dict( species=[v.to_dict() for v in self._species.values()], constants=[v.to_dict() for v in self._const.values()], @@ -151,38 +154,46 @@ def to_dict(self) -> dict: class MsxNetworkData(NetworkDataBase): - """A container for network-specific values associated with a multispecies water quality model.""" - def __init__(self, patterns: Dict[str, List[float]] = None, sources: Dict[str, Dict[str, dict]] = None, initial_quality: Dict[str, Union[dict,InitialQuality]] = None, parameter_values: Dict[str, Union[dict, ParameterValues]] = None) -> None: - """A container for network-specific values associated with a multispecies water quality model. + def __init__(self, patterns: Dict[str, List[float]] = None, + sources: Dict[str, Dict[str, dict]] = None, + initial_quality: Dict[str, Union[dict, InitialQuality]] = None, + parameter_values: Dict[str, Union[dict, ParameterValues]] = None) -> None: + """Network-specific values associated with a multi-species water + quality model - Data is copied from dictionaries passed in, so once created, the dictionaries passed are not connected - to this object. + Data is copied from dictionaries passed in, so once created, the + dictionaries passed are not connected to this object. Parameters ---------- patterns : dict, optional - patterns to use for sources + Patterns to use for sources sources : dict, optional - sources defined for the model + Sources defined for the model initial_quality : dict, optional - initial values for different species at different nodes, links, and the global value + Initial values for different species at different nodes, links, and + the global value parameter_values : dict, optional - parameter values for different pipes and tanks + Parameter values for different pipes and tanks Notes ----- ``patterns`` - A dictionary keyed by pattern name (str) with values being the multipliers (list of float) + Dictionary keyed by pattern name (str) with values being the + multipliers (list of float) ``sources`` - A dictionary keyed by species name (str) with values being dictionaries keyed by junction name (str) with values being the + Dictionary keyed by species name (str) with values being + dictionaries keyed by junction name (str) with values being the dictionary of settings for the source ``initial_quality`` - A dictionary keyed by species name (str) with values being either an :class:`~wntr.msx.elements.InitialQuality` object or - the appropriate dictionary representation thereof. + Dictionary keyed by species name (str) with values being either an + :class:`~wntr.msx.elements.InitialQuality` object or the + appropriate dictionary representation thereof. ``parameter_values`` - A dictionary keyed by parameter name (str) with values being either a :class:`~wntr.msx.elements.ParameterValues` object or - the appropriate dictionary representation thereof. + Dictionary keyed by parameter name (str) with values being either + a :class:`~wntr.msx.elements.ParameterValues` object or the + appropriate dictionary representation thereof. """ if sources is None: sources = dict() @@ -206,53 +217,55 @@ def __init__(self, patterns: Dict[str, List[float]] = None, sources: Dict[str, D @property def sources(self): - """A dictionary of sources, keyed by species name""" + """Dictionary of sources, keyed by species name""" return self._source_dict @property def initial_quality(self) -> Dict[str, InitialQuality]: - """A dictionary of initial quality values, keyed by species name""" + """Dictionary of initial quality values, keyed by species name""" return self._initial_quality_dict @property def patterns(self): - """A dictionary of patterns, specific for the water quality model, keyed by pattern name. + """Dictionary of patterns, specific for the water quality model, keyed + by pattern name. - .. note:: the WaterNetworkModel cannot see these patterns, so names can be reused, so be - careful. Likewise, this model cannot see the WaterNetworkModel patterns, so this could be - a source of some confusion. + .. note:: the WaterNetworkModel cannot see these patterns, so names can + be reused, so be careful. Likewise, this model cannot see the + WaterNetworkModel patterns, so this could be a source of some + confusion. """ return self._pattern_dict @property def parameter_values(self) -> Dict[str, ParameterValues]: - """A dictionary of parameter values, keyed by parameter name""" + """Dictionary of parameter values, keyed by parameter name""" return self._parameter_value_dict def add_pattern(self, name: str, multipliers: List[float]): - """Add a water-quality-model-specific pattern. + """Add a water quality model specific pattern. Arguments --------- name : str - The pattern name + Pattern name multipliers : list of float - The pattern multipliers + Pattern multipliers """ self._pattern_dict[name] = multipliers def init_new_species(self, species: Species): - """(Re)set the initial quality values for a species to a new container + """(Re)set the initial quality values for a species Arguments --------- species : Species - The species to (re)initialized. + Species to (re)initialized. Returns ------- InitialQuality - the new initial quality values container + New initial quality values """ self._initial_quality_dict[str(species)] = InitialQuality() if isinstance(species, Species): @@ -260,12 +273,12 @@ def init_new_species(self, species: Species): return self._initial_quality_dict[str(species)] def remove_species(self, species: Union[Species, str]): - """Remove a species from the network specific model. + """Remove a species from the network specific model Arguments --------- species : Species or str - a species to be removed from the network data + Species to be removed from the network data """ if isinstance(species, Species): species._vals = None @@ -275,17 +288,17 @@ def remove_species(self, species: Union[Species, str]): pass def init_new_parameter(self, param: Parameter): - """(Re)initialize parameter values for a parameter. + """(Re)initialize parameter values for a parameter Arguments --------- param : Parameter - a parameter to be (re)initialized with network data + Parameter to be (re)initialized with network data Returns ------- ParameterValues - the new network data for the specific parameter + New network data for the specific parameter """ self._parameter_value_dict[str(param)] = ParameterValues() if isinstance(param, Parameter): @@ -293,14 +306,14 @@ def init_new_parameter(self, param: Parameter): return self._parameter_value_dict[str(param)] def remove_parameter(self, param: Union[Parameter, str]): - """Remove values associated with a specific parameter. + """Remove values associated with a specific parameter Ignores non-parameters. Arguments --------- param : Parameter or str - the parameter or parameter name to be removed from the network data + Parameter or parameter name to be removed from the network data """ if isinstance(param, Parameter): param._vals = None @@ -321,15 +334,15 @@ def to_dict(self) -> dict: class MsxModel(QualityModelBase): - """A multispecies water quality model for use with WNTR EPANET-MSX simulator.""" + """Multi-species water quality model""" def __init__(self, msx_file_name=None) -> None: - """A full, multi-species water quality model. + """Multi-species water quality model Arguments --------- msx_file_name : str, optional - an MSX file to read in, by default None + MSX file to to load into the MsxModel object, by default None """ super().__init__(msx_file_name) self._references: List[Union[str, Dict[str, str]]] = list() @@ -363,47 +376,48 @@ def __repr__(self) -> str: @property def references(self) -> List[Union[str, Dict[str, str]]]: - """A list of strings or mappings that provide references for this model. + """List of strings or mappings that provide references for this model .. note:: - This property is a list, and should be modified using append/insert/remove. - Members of the list should be json seriealizable (i.e., strings or dicts of strings). + This property is a list, and should be modified using + append/insert/remove. Members of the list should be json + serializable (i.e., strings or dicts of strings). """ return self._references @property def reaction_system(self) -> MsxReactionSystem: - """The reaction variables defined for this model.""" + """Reaction variables defined for this model""" return self._rxn_system @property def network_data(self) -> MsxNetworkData: - """The network-specific values added to this model.""" + """Network-specific values added to this model""" return self._net_data @property def options(self) -> MsxSolverOptions: - """The MSX model options""" + """MSX model options""" return self._options @property def species_name_list(self) -> List[str]: - """all defined species names""" + """Get a list of species names""" return list(self.reaction_system.species.keys()) @property def constant_name_list(self) -> List[str]: - """all defined coefficient names""" + """Get a list of coefficient names""" return list(self.reaction_system.constants.keys()) @property def parameter_name_list(self) -> List[str]: - """all defined coefficient names""" + """Get a list of coefficient names""" return list(self.reaction_system.parameters.keys()) @property def term_name_list(self) -> List[str]: - """all defined function (MSX 'terms') names""" + """Get a list of function (MSX 'terms') names""" return list(self.reaction_system.terms.keys()) @options.setter @@ -411,7 +425,7 @@ def options(self, value: Union[dict, MsxSolverOptions]): if isinstance(value, dict): self._options = MsxSolverOptions.factory(value) elif not isinstance(value, MsxSolverOptions): - raise TypeError("Expected a MultispeciesOptions object, got {}".format(type(value))) + raise TypeError("Expected a MsxSolverOptions object, got {}".format(type(value))) else: self._options = value @@ -430,32 +444,32 @@ def add_species( Arguments --------- name : str - the species name + Species name species_type : SpeciesType - the type of species, either BULK or WALL + Type of species, either BULK or WALL units : str - the mass units for this species + Mass units for this species atol : float, optional unless rtol is not None - the absolute solver tolerance for this species, by default None + Absolute solver tolerance for this species, by default None rtol : float, optional unless atol is not None - the relative solver tolerance for this species, by default None + Relative solver tolerance for this species, by default None note : NoteType, optional keyword - supplementary information regarding this variable, by default None + Supplementary information regarding this variable, by default None (see also :class:`~wntr.epanet.util.ENcomment`) diffusivity : float, optional - diffusivity of this species in water + Diffusivity of this species in water Raises ------ KeyExistsError - if a variable with this name already exists + If a variable with this name already exists ValueError - if `atol` or `rtol` ≤ 0 + If `atol` or `rtol` ≤ 0 Returns ------- Species - the new species + New species """ if name in self._rxn_system: raise KeyExistsError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) @@ -476,19 +490,19 @@ def add_species( return new def remove_species(self, variable_or_name): - """Remove a species from the model. + """Remove a species from the model Removes from both the reaction_system and the network_data. Parameters ---------- variable_or_name : Species or str - the species (or name of the species) to be removed + Species (or name of the species) to be removed Raises ------ KeyError - if `variable_or_name` is not a species in the model + If `variable_or_name` is not a species in the model """ name = str(variable_or_name) if name not in self.reaction_system.species: @@ -498,28 +512,28 @@ def remove_species(self, variable_or_name): self.reaction_system.__delitem__(name) def add_constant(self, name: str, value: float, units: str = None, note: NoteType = None) -> Constant: - """Add a constant coefficient to the model. + """Add a constant coefficient to the model Arguments --------- name : str - the name of the coefficient + Name of the coefficient value : float - the constant value of the coefficient + Constant value of the coefficient units : str, optional - the units for this coefficient, by default None + Units for this coefficient, by default None note : NoteType, optional - supplementary information regarding this variable, by default None + Supplementary information regarding this variable, by default None Raises ------ KeyExistsError - a variable with this name already exists + Variable with this name already exists Returns ------- Constant - the new constant coefficient + New constant coefficient """ if name in self._rxn_system: raise KeyExistsError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) @@ -528,17 +542,17 @@ def add_constant(self, name: str, value: float, units: str = None, note: NoteTyp return new def remove_constant(self, variable_or_name): - """Remove a constant coefficient from the model. + """Remove a constant coefficient from the model Parameters ---------- variable_or_name : Constant or str - the constant (or name of the constant) to be removed + Constant (or name of the constant) to be removed Raises ------ KeyError - if `variable_or_name` is not a constant coefficient in the model + If `variable_or_name` is not a constant coefficient in the model """ name = str(variable_or_name) if name not in self.reaction_system.constants: @@ -547,16 +561,17 @@ def remove_constant(self, variable_or_name): self.reaction_system.__delitem__(name) def add_parameter(self, name: str, global_value: float, units: str = None, note: NoteType = None) -> Parameter: - """Add a parameterized coefficient to the model. + """Add a parameterized coefficient to the model Arguments --------- name : str - the name of the parameter + Name of the parameter global_value : float - the global value of the coefficient (can be overridden for specific pipes/tanks) + Global value of the coefficient (can be overridden for specific + pipes/tanks) units : str, optional - the units for the coefficient, by default None + Units for the coefficient, by default None note : NoteType, optional keyword Supplementary information regarding this variable, by default None (see also :class:`~wntr.epanet.util.ENcomment`). @@ -564,12 +579,12 @@ def add_parameter(self, name: str, global_value: float, units: str = None, note: Raises ------ KeyExistsError - if a variable with this name already exists + If a variable with this name already exists Returns ------- Parameter - the new parameterized coefficient + New parameterized coefficient """ if name in self._rxn_system: raise KeyExistsError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) @@ -579,17 +594,17 @@ def add_parameter(self, name: str, global_value: float, units: str = None, note: return new def remove_parameter(self, variable_or_name): - """Remove a parameterized coefficient from the model. + """Remove a parameterized coefficient from the model Parameters ---------- variable_or_name : Parameter or str - the parameter (or name of the parameter) to be removed + Parameter (or name of the parameter) to be removed Raises ------ KeyError - if `variable_or_name` is not a parameter in the model + If `variable_or_name` is not a parameter in the model """ name = str(variable_or_name) if name not in self.reaction_system.parameters: @@ -599,14 +614,14 @@ def remove_parameter(self, variable_or_name): self.reaction_system.__delitem__(name) def add_term(self, name: str, expression: str, note: NoteType = None) -> Term: - """Add a named expression (term) to the model. + """Add a named expression (term) to the model Parameters ---------- name : str - the name of the functional term to be added + Name of the functional term to be added expression : str - the expression that the term defines + Expression that the term defines note : NoteType, optional keyword Supplementary information regarding this variable, by default None (see also :class:`~wntr.epanet.util.ENcomment`) @@ -619,7 +634,7 @@ def add_term(self, name: str, expression: str, note: NoteType = None) -> Term: Returns ------- Term - the new term + New term """ if name in self._rxn_system: raise KeyError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) @@ -628,17 +643,17 @@ def add_term(self, name: str, expression: str, note: NoteType = None) -> Term: return new def remove_term(self, variable_or_name): - """Remove a named expression (term) from the model. + """Remove a named expression (term) from the model Parameters ---------- variable_or_name : Term or str - the term (or name of the term) to be deleted + Term (or name of the term) to be deleted Raises ------ KeyError - if `variable_or_name` is not a term in the model + If `variable_or_name` is not a term in the model """ name = str(variable_or_name) # FIXME: validate deletion @@ -647,25 +662,26 @@ def remove_term(self, variable_or_name): self.reaction_system.__delitem__(name) def add_reaction(self, species_name: Union[Species, str], reaction_type: ReactionType, expression_type: ExpressionType, expression: str, note: NoteType = None) -> ReactionBase: - """Add a reaction to a species in the model. + """Add a reaction to a species in the model - Note that all species need to have both a pipe and tank reaction defined - unless all species are bulk species and - the tank reactions are identical to the pipe reactions. However, it is not - recommended that users take this approach. + Note that all species need to have both a pipe and tank reaction + defined unless all species are bulk species and the tank reactions are + identical to the pipe reactions. However, it is not recommended that + users take this approach. Once added, access the reactions from the species' object. Arguments --------- species_name : Species or str - the species (or name of species) the reaction is being defined for + Species (or name of species) the reaction is being defined for reaction_type: ReactionType - where this reaction takes place, from {PIPE, TANK} + Reaction type (location), from {PIPE, TANK} expression_type : ExpressionType - the type (LHS) of the equation the expression belongs to, from {RATE, EQUIL, FORMULA} + Expression type (left-hand-side) of the equation, from {RATE, + EQUIL, FORMULA} expression : str - the expression defining the reaction + Expression defining the reaction note : NoteType, optional keyword Supplementary information regarding this reaction, by default None (see also :class:`~wntr.epanet.util.ENcomment`) @@ -673,12 +689,12 @@ def add_reaction(self, species_name: Union[Species, str], reaction_type: Reactio Raises ------ TypeError - if a variable that is not species is passed + If a variable that is not species is passed Returns ------- - MultispeciesReaction - the new reaction object + MsxReactionSystem + New reaction object """ species_name = str(species_name) species = self.reaction_system.species[species_name] @@ -697,20 +713,21 @@ def add_reaction(self, species_name: Union[Species, str], reaction_type: Reactio return new def remove_reaction(self, species_name: str, reaction_type: ReactionType) -> None: - """Remove a reaction at a specified location from a species. + """Remove a reaction at a specified location from a species Parameters ---------- species : Species or str - the species (or name of the species) of the reaction to remove + Species (or name of the species) of the reaction to remove reaction_type : ReactionType - the reaction type (location) of the reaction to remove + Reaction type (location) of the reaction to remove """ reaction_type = ReactionType.get(reaction_type, allow_none=False) species_name = str(species_name) del self.reaction_system.reactions[reaction_type.name.lower()][species_name] def to_dict(self) -> dict: + """Dictionary representation of the MsxModel""" from wntr import __version__ return { @@ -726,12 +743,12 @@ def to_dict(self) -> dict: @classmethod def from_dict(cls, data) -> "MsxModel": - """Create a new multispecies reaction model from a dictionary. + """Create a new multi-species water quality model from a dictionary Parameters ---------- data : dict - The model data + Model data """ from wntr import __version__ diff --git a/wntr/msx/options.py b/wntr/msx/options.py index e99645352..70bed47f2 100644 --- a/wntr/msx/options.py +++ b/wntr/msx/options.py @@ -1,5 +1,7 @@ # coding: utf-8 -"""Options for multispecies reaction models. +""" +The wntr.msx.options module includes options for multi-species water quality +models """ import logging @@ -12,7 +14,7 @@ class MsxReportOptions(_OptionsBase): """ - Options related to EPANET-MSX report outputs. + Report options """ def __init__( @@ -25,44 +27,39 @@ def __init__( links: Union[Literal["ALL"], List[str]] = None, ): """ - Options related to EPANET-MSX report outputs. + Report options Parameters ---------- report_filename : str - Provides the filename to use for outputting an EPANET report file, - by default this will be the prefix plus ".rpt". - + Filename for the EPANET-MSX report file, by default this will be + the prefix plus ".rpt". species : dict[str, bool] Output species concentrations - species_precision : dict[str, float] Output species concentrations with the specified precision - nodes : None, "ALL", or list - Output node information in report file. If a list of node names is provided, - EPANET only provides report information for those nodes. - + Output node information. If a list of node names is provided, + EPANET-MSX only provides report information for those nodes. links : None, "ALL", or list - Output link information in report file. If a list of link names is provided, - EPANET only provides report information for those links. - + Output link information. If a list of link names is provided, + EPANET-MSX only provides report information for those links. pagesize : str - Page size for EPANET report output + Page size for EPANET-MSX report output """ self.pagesize = pagesize - """The pagesize for the report""" + """Pagesize for the report""" self.report_filename = report_filename - """The prefix of the report filename (will add .rpt)""" + """Prefix of the report filename (will add .rpt)""" self.species = species if species is not None else dict() """Turn individual species outputs on and off, by default no species are output""" self.species_precision = species_precision if species_precision is not None else dict() - """Set the output precision for the concentration of a specific species""" + """Output precision for the concentration of a specific species""" self.nodes = nodes - """A list of nodes to print output for, or 'ALL' for all nodes, by default None""" + """List of nodes to print output for, or 'ALL' for all nodes, by default None""" self.links = links - """A list of links to print output for, or 'ALL' for all links, by default None""" + """List of links to print output for, or 'ALL' for all links, by default None""" def __setattr__(self, name, value): if name not in ["pagesize", "report_filename", "species", "nodes", "links", "species_precision"]: @@ -71,9 +68,7 @@ def __setattr__(self, name, value): class MsxSolverOptions(_OptionsBase): - """ - Multispecies quality model options. - """ + """Solver options""" def __init__( self, @@ -91,56 +86,73 @@ def __init__( report: MsxReportOptions = None, ): """ - Multispecies quality model options. + Solver options Parameters ---------- timestep : int >= 1 Water quality timestep (seconds), by default 60 (one minute). area_units : str, optional - The units of area to use in surface concentration forms, by default ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. + Units of area to use in surface concentration forms, by default + ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. rate_units : str, optional - The time units to use in all rate reactions, by default ``MIN``. Valid values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. + Time units to use in all rate reactions, by default ``MIN``. Valid + values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. solver : str, optional - The solver to use, by default ``RK5``. Options are ``RK5`` (5th order Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or ``EUL`` (Euler method). + Solver to use, by default ``RK5``. Options are ``RK5`` (5th order + Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or + ``EUL`` (Euler method). coupling : str, optional - Use coupling method for solution, by default ``NONE``. Valid options are ``FULL`` or ``NONE``. + Use coupling method for solution, by default ``NONE``. Valid + options are ``FULL`` or ``NONE``. atol : float, optional - Absolute concentration tolerance, by default 0.01 (regardless of species concentration units). + Absolute concentration tolerance, by default 0.01 (regardless of + species concentration units). rtol : float, optional Relative concentration tolerance, by default 0.001 (±0.1%). compiler : str, optional - Whether to use a compiler, by default ``NONE``. Valid options are ``VC``, ``GC``, or ``NONE`` + Whether to use a compiler, by default ``NONE``. Valid options are + ``VC``, ``GC``, or ``NONE`` segments : int, optional - Maximum number of segments per pipe (MSX 2.0 or newer only), by default 5000. + Maximum number of segments per pipe (MSX 2.0 or newer only), by + default 5000. peclet : int, optional - Peclet threshold for applying dispersion (MSX 2.0 or newer only), by default 1000. - report : ReportOptions or dict + Peclet threshold for applying dispersion (MSX 2.0 or newer only), + by default 1000. + report : MsxReportOptions or dict Options on how to report out results. """ self.timestep: int = timestep - """The timestep, in seconds, by default 360""" + """Timestep, in seconds, by default 360""" self.area_units: str = area_units - """The units used to express pipe wall surface area where, by default FT2. Valid values are FT2, M2, and CM2.""" + """Units used to express pipe wall surface area where, by default FT2. + Valid values are FT2, M2, and CM2.""" self.rate_units: str = rate_units - """The units in which all reaction rate terms are expressed, by default HR. Valid values are HR, MIN, SEC, and DAY.""" + """Units in which all reaction rate terms are expressed, by default HR. + Valid values are HR, MIN, SEC, and DAY.""" self.solver: str = solver - """The solver to use, by default EUL. Valid values are EUL, RK5, and ROS2.""" + """Solver to use, by default EUL. Valid values are EUL, RK5, and + ROS2.""" self.coupling: str = coupling - """Whether coupling should occur during solving, by default NONE. Valid values are NONE and FULL.""" + """Whether coupling should occur during solving, by default NONE. Valid + values are NONE and FULL.""" self.rtol: float = rtol - """The relative tolerance used during solvers ROS2 and RK5, by default 0.001 for all species. Can be overridden on a per-species basis.""" + """Relative tolerance used during solvers ROS2 and RK5, by default + 0.001 for all species. Can be overridden on a per-species basis.""" self.atol: float = atol - """The absolute tolerance used by the solvers, by default 0.01 for all species regardless of concentration units. Can be overridden on a per-species basis.""" + """Absolute tolerance used by the solvers, by default 0.01 for all + species regardless of concentration units. Can be overridden on a + per-species basis.""" self.compiler: str = compiler - """A compier to use if the equations should be compiled by EPANET-MSX, by default NONE. Valid options are VC, GC and NONE.""" + """Compiler to use if the equations should be compiled by EPANET-MSX, + by default NONE. Valid options are VC, GC and NONE.""" self.segments: int = segments - """The number of segments per-pipe to use, by default 5000.""" + """Number of segments per-pipe to use, by default 5000.""" self.peclet: int = peclet - """The threshold for applying dispersion, by default 1000.""" + """Threshold for applying dispersion, by default 1000.""" self.report: MsxReportOptions = MsxReportOptions.factory(report) - """The reporting output options.""" + """Reporting output options.""" def __setattr__(self, name, value): if name == "report": @@ -163,7 +175,7 @@ def __setattr__(self, name, value): except ValueError: raise ValueError("%s must be a number", name) elif name not in ["area_units", "rate_units", "solver", "coupling", "compiler"]: - raise ValueError("%s is not a valid member of MultispeciesOptions") + raise ValueError("%s is not a valid member of MsxSolverOptions") self.__dict__[name] = value def to_dict(self): diff --git a/wntr/network/base.py b/wntr/network/base.py index 20ddc94eb..7dcf3ae8b 100644 --- a/wntr/network/base.py +++ b/wntr/network/base.py @@ -245,7 +245,8 @@ def tag(self, tag): @property def initial_quality(self): - """float or dict: The initial quality (concentration) at the node, or a dict of species-->quality for multispecies quality""" + """float or dict: Initial quality (concentration) at the node, or + a dict of species-->quality for multi-species quality""" if not self._initial_quality: return 0.0 return self._initial_quality @@ -257,7 +258,7 @@ def initial_quality(self, value): @property def coordinates(self): - """tuple: The node coordinates, (x,y)""" + """tuple: Node coordinates, (x,y)""" return self._coordinates @coordinates.setter def coordinates(self, coordinates): diff --git a/wntr/tests/test_msx_elements.py b/wntr/tests/test_msx_elements.py index 39cc09188..e65f796f3 100644 --- a/wntr/tests/test_msx_elements.py +++ b/wntr/tests/test_msx_elements.py @@ -157,7 +157,7 @@ def test_Reaction(self): self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") self.assertEqual(formula1.expression_type, wntr.msx.ExpressionType.FORMULA) - def test_WaterQualityReactionsModel_creation_specific_everything(self): + def test_MsxModel_creation_specific_everything(self): rxn_model1 = wntr.msx.MsxModel() bulk1 = wntr.msx.Species("Cl", 'b', "mg") wall1 = wntr.msx.Species("ClOH", 'w', "mg", 0.01, 0.0001, note="Testing stuff") diff --git a/wntr/utils/disjoint_mapping.py b/wntr/utils/disjoint_mapping.py index 27dc32c34..fd2572bf8 100644 --- a/wntr/utils/disjoint_mapping.py +++ b/wntr/utils/disjoint_mapping.py @@ -1,7 +1,8 @@ # coding: utf-8 -"""A set of utility classes that is similar to the 'registry' objects in the wntr.network -class, but more general, and therefore usable for other extensions, such as multispecies -reaction modeling. +""" +A set of utility classes that is similar to the 'registry' objects in the wntr.network +class, but more general, and therefore usable for other extensions, such as multi-species +water quality models. """ from collections.abc import MutableMapping @@ -10,13 +11,11 @@ class WrongGroupError(KeyError): """The key exists but is in a different disjoint group""" - pass class KeyExistsError(KeyError): - """The name already exists in the reaction model""" - + """The name already exists in the model""" pass From 9bc4140ffc9b60ae3f191ee6d83b1993c39efe01 Mon Sep 17 00:00:00 2001 From: Katherine Klise Date: Fri, 10 Nov 2023 13:20:45 -0800 Subject: [PATCH 046/118] API docs update, removed excess imports, removed cite_msx (#136) * Add scheduled testing to workflow * MSX documentation update * minor updates * API docs update, removed excess imports, removed cite_msx --------- Co-authored-by: Kirk Bonney <47759761+kbonney@users.noreply.github.com> --- documentation/advancedqual.rst | 408 ------------------ documentation/reference.rst | 6 +- wntr/epanet/exceptions.py | 5 +- wntr/epanet/msx/__init__.py | 18 +- wntr/epanet/msx/enums.py | 143 +++--- wntr/epanet/msx/exceptions.py | 75 ++-- wntr/epanet/msx/io.py | 30 +- wntr/epanet/msx/toolkit.py | 267 ++++++------ wntr/msx/__init__.py | 8 +- .../msx/_library_data/arsenic_chloramine.json | 4 +- .../_library_data/batch_chloramine_decay.json | 2 +- wntr/msx/_library_data/lead_ppm.json | 2 +- wntr/msx/_library_data/nicotine.json | 2 +- wntr/msx/_library_data/nicotine_ri.json | 2 +- wntr/msx/base.py | 232 +++++----- wntr/msx/elements.py | 248 ++++++----- wntr/msx/library.py | 140 +++--- wntr/msx/model.py | 269 ++++++------ wntr/msx/options.py | 102 +++-- wntr/network/base.py | 5 +- wntr/tests/test_msx_elements.py | 2 +- wntr/utils/disjoint_mapping.py | 11 +- 22 files changed, 834 insertions(+), 1147 deletions(-) delete mode 100644 documentation/advancedqual.rst diff --git a/documentation/advancedqual.rst b/documentation/advancedqual.rst deleted file mode 100644 index b144cbb38..000000000 --- a/documentation/advancedqual.rst +++ /dev/null @@ -1,408 +0,0 @@ -.. raw:: latex - - \clearpage - -.. _advanced_simulation: - -Advanced water quality techniques -================================= - -This section describes several advanced simulation techniques using WNTR with MSX. - - - -.. _msx_example1_lead: - -Example 1: plumbosolvency of lead ---------------------------------- - -This model is described in [BWMS20]_, and represents plumbosolvency of lead in lead pipes -within a dwelling. -In this case, we will not assume that a water network model has been made for the dwelling, yet. - -Model creation -~~~~~~~~~~~~~~ - -We create a new model, give it a name, title, and description, and we add the reference -for the paper this model was described in. - -.. doctest:: - - >>> import wntr.msx - >>> msx = wntr.msx.MultispeciesQualityModel() - >>> msx.name = "lead_ppm" - >>> msx.title = "Lead Plumbosolvency Model (from Burkhardt et al 2020)" - >>> msx.desc = "Parameters for EPA HPS Simulator Model" - >>> msx.references.append( - ... """J. B. Burkhardt, et al. (2020) https://doi.org/10.1061/(asce)wr.1943-5452.0001304""" - ... ) - >>> msx - MultispeciesQualityModel(name='lead_ppm') - -Next, we will update certain options. - -.. doctest:: - - >>> msx.options = { - ... "report": { - ... "species": {"PB2": "YES"}, - ... "species_precision": {"PB2": 5}, - ... "nodes": "all", - ... "links": "all", - ... }, - ... "timestep": 1, - ... "area_units": "M2", - ... "rate_units": "SEC", - ... "rtol": 1e-08, - ... "atol": 1e-08, - ... } - - -Adding variables -~~~~~~~~~~~~~~~~ -The variables that are needed for a multispecies reaction system are: species, coefficients, and terms. -These are used in expressions to define the dynamics of the reaction. All variables have at least two -attributes: their name and a note. The variable name must be a valid EPANET-MSX id, which primarily -means no spaces are permitted. However, it may be useful to ensure that the name is a valid python -variable name, so that it can be used to identify the variable in your code as well. The note can be -a string, a dictionary with the keys "pre" and "post", or an :class:`~wntr.epanet.util.ENcomment` object -(which has a "pre" and "post" attribute). See the ENcomment documentation for details on the meaning; -in this example we will use the string form of the note. - --------------- - -There is only one species defined in this model, which is dissolved lead. - -======================== =============== ================================= ======================== -Name Type Units Note ------------------------- --------------- --------------------------------- ------------------------ -:math:`Pb` bulk species :math:`\mathrm{μg}_\mathrm{(Pb)}` dissolved lead -======================== =============== ================================= ======================== - -To add this species to the model, we can use the model's :meth:`~wntr.msx.multispecies.MultispeciesQualityModel.add_species` -method. -The method arguments are the name, the species_type (which can either be "bulk" or "wall"), the units, -and an optional note. -This method will add the new species to the model and also return a copy of the new species object. - -.. doctest:: - - >>> msx.add_species(name="PB2", species_type='bulk', units="ug", note="dissolved lead (Pb)") - Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') - -The new species can be accessed by using the item's name and indexing on the model's -:attr:`~wntr.msx.multispecies.MultispeciesQualityModel.reaction_system` attribute. - - >>> PB2 = msx.reaction_system['PB2'] - >>> PB2 - Species(name='PB2', species_type=, units='ug', atol=None, rtol=None, note='dissolved lead (Pb)') - --------------- - -There are two different types of coefficients that can be used in reaction expressions: constants -and parameters. Constants have a single value in every expression. Parameters have a global value -that is used by default, but which can be modified on a per-pipe or per-tank basis. This model -has two constants and one parameter. - -=============== =============== =============== ================================= ======================== -Type Name Value Units Note ---------------- --------------- --------------- --------------------------------- ------------------------ -constant :math:`M` 0.117 :math:`\mathrm{μg~m^{-2}~s^{-1}}` desorption rate -constant :math:`E` 140.0 :math:`\mathrm{μg~L^{-1}}` saturation level -parameter :math:`F` 0 `n/a` is pipe made of lead? -=============== =============== =============== ================================= ======================== - -We can add these to the model as follows: - -.. doctest:: - - >>> msx.add_constant("M", value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") - >>> msx.add_constant("E", value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") - >>> msx.add_parameter("F", global_value=0, note="determines which pipes have reactions") - - -Adding reactions -~~~~~~~~~~~~~~~~ - -All species must have two reactions defined for the model to be run successfully in EPANET-MSX by WNTR. -One is a pipe reaction, the other is a tank reaction. In this case, we only have a reactions within -pipes, so we need to set the tank reaction to be unchanging. The system of equations is: - -.. math:: - - \frac{d}{dt}Pb_p &= F_p \, Av_p \, M \frac{\left( E - Pb_p \right)}{E}, &\quad\text{for all pipes}~p~\text{in network} \\ - \frac{d}{dt}Pb_t &= 0, & \quad\text{for all tanks}~t~\text{in network} - -Note that the pipe reaction has a variable that we have not defined, :math:`Av`, in its expression; -this variable is a pre-defined hydraulic variable. The list of these variables can be found in -the EPANET-MSX documentation, and also in the :attr:`~wntr.msx.base.HYDRAULIC_VARIABLES` -documentation. The reactions can be described in WNTR as - -================ ============== ========================================================================== -Reaction type Dynamics type Reaction expression ----------------- -------------- -------------------------------------------------------------------------- -pipe rate :math:`F \cdot Av \cdot M \cdot \left( E - Pb \right) / E` -tank rate :math:`0` -================ ============== ========================================================================== - -and then added to the reaction model using the :meth:`~wntr.msx.multispecies.MultispeciesQualityModel.add_reaction` -method. - -.. doctest:: - - >>> msx.add_reaction("PB2", "pipe", "RATE", expression="F * Av * M * (E - PB2) / E") - >>> msx.add_reaction(PB2, "tank", "rate", expression="0") - - - -Example 2: arsenic oxidation and adsorption -------------------------------------------- - -This example models monochloramine oxidation of arsenite/arsenate and wall -adsorption/desorption, as given in section 3 of the EPANET-MSX user manual [SRU23]_. -First, the model -will be restated here and then the code to create the model in wntr will be shown. - -Model Description -~~~~~~~~~~~~~~~~~ - -The system of equations for the reaction in pipes is given in Eq. (2.4) through (2.7) -in [SRU23]_. This is a simplified model, taken from [GSCL94]_. - -.. math:: - - \frac{d}{dt}{(\mathsf{As}^\mathrm{III})} &= -k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2Cl})} \\ - \frac{d}{dt}{(\mathsf{As}^\mathrm{V})} &= k_a ~ {(\mathsf{As}^\mathrm{III})} ~ {(\mathsf{NH_2CL})} - Av \left( k_1 \left(S_\max - {(\mathsf{As}^\mathrm{V}_s)} \right) {(\mathsf{As}^\mathrm{V})} - k_2 ~ {(\mathsf{As}^\mathrm{V}_s)} \right) \\ - \frac{d}{dt}{(\mathsf{NH_2Cl})} &= -k_b ~ {(\mathsf{NH_2Cl})} \\ - {(\mathsf{As}^\mathrm{V}_s)} &= \frac{k_s ~ S_\max ~ {(\mathsf{As}^\mathrm{V})}}{1 + k_s {(\mathsf{As}^\mathrm{V})}} - - -where the various species, coefficients, and expressions are described in the tables below. - - -.. list-table:: Options - :header-rows: 1 - :widths: 3 3 10 - - * - Option - - Code - - Description - * - Rate units - - "HR" - - :math:`\mathrm{h}^{-1}` - * - Area units - - "M2" - - :math:`\mathrm{m}^2` - - -.. list-table:: Species - :header-rows: 1 - :widths: 2 2 2 3 4 6 - - * - Name - - Type - - Value - - Symbol - - Units - - Note - * - AS3 - - Bulk - - "UG" - - :math:`{\mathsf{As}^\mathrm{III}}` - - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` - - dissolved arsenite - * - AS5 - - Bulk - - "UG" - - :math:`{\mathsf{As}^\mathrm{V}}` - - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` - - dissolved arsenate - * - AStot - - Bulk - - "UG" - - :math:`{\mathsf{As}^\mathrm{tot}}` - - :math:`\require{upgreek}\upmu\mathrm{g~L^{-1}}` - - dissolved arsenic (total) - * - NH2CL - - Bulk - - "MG" - - :math:`{\mathsf{NH_2Cl}}` - - :math:`\mathrm{mg~L^{-1}}` - - dissolved monochloramine - * - AS5s - - Wall - - "UG" - - :math:`{\mathsf{As}^\mathrm{V}_{s}}` - - :math:`\require{upgreek}\upmu\mathrm{g}~\mathrm{m}^{-2}` - - adsorped arsenate (surface) - - -.. list-table:: Coefficients - :header-rows: 1 - :widths: 2 2 2 3 4 6 - - * - Name - - Type - - Value - - Symbol - - Units - - Note - * - Ka - - Const - - :math:`10` - - :math:`k_a` - - :math:`\mathrm{mg}^{-1}_{\left(\mathsf{NH_2Cl}\right)}~\mathrm{h}^{-1}` - - arsenite oxidation - * - Kb - - Const - - :math:`0.1` - - :math:`k_b` - - :math:`\mathrm{h}^{-1}` - - chloromine decay - * - K1 - - Const - - :math:`5.0` - - :math:`k_1` - - :math:`\require{upgreek}\textrm{L}~\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{h}^{-1}` - - arsenate adsorption - * - K2 - - Const - - :math:`1.0` - - :math:`k_2` - - :math:`\textrm{L}~\mathrm{h}^{-1}` - - arsenate desorption - * - Smax - - Const - - :math:`50.0` - - :math:`S_{\max}` - - :math:`\require{upgreek}\upmu\mathrm{g}_{\left(\mathsf{As}^\mathrm{V}\right)}~\mathrm{m}^{-2}` - - arsenate adsorption limit - - -.. list-table:: Other terms - :header-rows: 1 - :widths: 3 3 2 3 10 - - * - Name - - Symbol - - Expression - - Units - - Note - * - Ks - - :math:`k_s` - - :math:`{k_1}/{k_2}` - - :math:`\require{upgreek}\upmu\mathrm{g}^{-1}_{\left(\mathsf{As}^\mathrm{V}\right)}` - - equilibrium adsorption coefficient - - -.. list-table:: Pipe reactions - :header-rows: 1 - :widths: 3 3 16 - - * - Species - - Type - - Expression - * - AS3 - - Rate - - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` - * - AS5 - - Rate - - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}} -Av \left( k_1 \left(S_{\max}-{\mathsf{As}^\mathrm{V}_{s}} \right) {\mathsf{As}^\mathrm{V}} - k_2 \, {\mathsf{As}^\mathrm{V}_{s}} \right)` - * - NH2CL - - Rate - - :math:`-k_b \, {\mathsf{NH_2Cl}}` - * - AStot - - Formula - - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` - * - AS5s - - Equil - - :math:`k_s \, S_{\max} \frac{{\mathsf{As}^\mathrm{V}}}{1 + k_s \, {\mathsf{As}^\mathrm{V}}} - {\mathsf{As}^\mathrm{V}_{s}}` - - -.. list-table:: Tank reactions - :header-rows: 1 - :widths: 3 3 16 - - * - Species - - Type - - Expression - * - AS3 - - Rate - - :math:`-k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` - * - AS5 - - Rate - - :math:`k_a \, {\mathsf{As}^\mathrm{III}} \, {\mathsf{NH_2Cl}}` - * - NH2CL - - Rate - - :math:`-k_b \, {\mathsf{NH_2Cl}}` - * - AStot - - Formula - - :math:`{\mathsf{As}^\mathrm{III}} + {\mathsf{As}^\mathrm{V}}` - * - AS5s - - Equil - - :math:`0` (`not present in tanks`) - - -Creation in WNTR -~~~~~~~~~~~~~~~~ - -.. doctest:: - - >>> msx = wntr.msx.MultispeciesQualityModel() - >>> msx.name = "arsenic_chloramine" - >>> msx.title = "Arsenic Oxidation/Adsorption Example" - >>> msx.references.append(wntr.msx.library.cite_msx()) - >>> AS3 = msx.add_species(name="AS3", species_type="BULK", units="UG", note="Dissolved arsenite") - >>> AS5 = msx.add_species(name="AS5", species_type="BULK", units="UG", note="Dissolved arsenate") - >>> AStot = msx.add_species(name="AStot", species_type="BULK", units="UG", note="Total dissolved arsenic") - >>> AS5s = msx.add_species(name="AS5s", species_type="WALL", units="UG", note="Adsorbed arsenate") - >>> NH2CL = msx.add_species(name="NH2CL", species_type="BULK", units="MG", note="Monochloramine") - >>> Ka = msx.add_constant("Ka", 10.0, units="1 / (MG * HR)", note="Arsenite oxidation rate coefficient") - >>> Kb = msx.add_constant("Kb", 0.1, units="1 / HR", note="Monochloramine decay rate coefficient") - >>> K1 = msx.add_constant("K1", 5.0, units="M^3 / (UG * HR)", note="Arsenate adsorption coefficient") - >>> K2 = msx.add_constant("K2", 1.0, units="1 / HR", note="Arsenate desorption coefficient") - >>> Smax = msx.add_constant("Smax", 50.0, units="UG / M^2", note="Arsenate adsorption limit") - >>> Ks = msx.add_term(name="Ks", expression="K1/K2", note="Equil. adsorption coeff.") - >>> _ = msx.add_reaction( - ... species_name="AS3", reaction_type="pipes", expression_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" - ... ) - >>> _ = msx.add_reaction( - ... "AS5", "pipes", "rate", "Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)", note="Arsenate production less adsorption" - ... ) - >>> _ = msx.add_reaction( - ... species_name="NH2CL", reaction_type="pipes", expression_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" - ... ) - >>> _ = msx.add_reaction("AS5s", "pipe", "equil", "Ks*Smax*AS5/(1+Ks*AS5) - AS5s", note="Arsenate adsorption") - >>> _ = msx.add_reaction( - ... species_name="AStot", reaction_type="pipes", expression_type="formula", expression="AS3 + AS5", note="Total arsenic" - ... ) - >>> _ = msx.add_reaction( - ... species_name="AS3", reaction_type="tank", expression_type="rate", expression="-Ka*AS3*NH2CL", note="Arsenite oxidation" - ... ) - >>> _ = msx.add_reaction( - ... species_name="AS5", reaction_type="tank", expression_type="rate", expression="Ka*AS3*NH2CL", note="Arsenate production" - ... ) - >>> _ = msx.add_reaction( - ... species_name="NH2CL", reaction_type="tank", expression_type="rate", expression="-Kb*NH2CL", note="Monochloramine decay" - ... ) - >>> _ = msx.add_reaction( - ... species_name="AStot", reaction_type="tanks", expression_type="formula", expression="AS3 + AS5", note="Total arsenic" - ... ) - >>> msx.options.area_units = "M2" - >>> msx.options.rate_units = "HR" - >>> msx.options.rtol = 0.001 - >>> msx.options.atol = 0.0001 - - -References ----------- - -.. [BWMS20] - J. B. Burkhardt, et al. (2020) - "Framework for Modeling Lead in Premise Plumbing Systems Using EPANET". - `Journal of Water Resources Planning and Management`. - **146** (12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304. PMID:33627937. - -.. [GSCL94] - B. Gu, J. Schmitt, Z. Chen, L. Liang, and J.F. McCarthy. "Adsorption and desorption of - natural organic matter on iron oxide: mechanisms and models". Environ. Sci. Technol., 28:38-46, January 1994. diff --git a/documentation/reference.rst b/documentation/reference.rst index 3fadfd9d5..bd638f8cf 100644 --- a/documentation/reference.rst +++ b/documentation/reference.rst @@ -10,7 +10,7 @@ References Due to limitations with cross referenced citations in reStructuredText (e.g., commas and spaces are not supported), citations are cross referenced using a 6 digit notation [*]_. -.. [ALA01] American Lifelines Alliance. (2001). Seismic Fragility Formulations for Water Systems, Part 1 and 2. Report for the American Lifelines Alliance, ASCE (Ed.) Reston, VA: American Society of Civil Engineers. April 2001. +.. [ALA01] American Lifelines Alliance. (2001). Seismic Fragility Formulations for Water Systems, Part 1 and 2. Report for the American Lifelines Alliance, ASCE (Ed.) Reston, VA: American Society of Civil Engineers. April 2001. .. [AwGB90] Awumah, K., Goulter, I., and Bhatt, S.K. (1990). Assessment of reliability in water distribution networks using entropy based measures. Stochastic Hydrology and Hydraulics, 4(4), 309-320. @@ -38,7 +38,7 @@ References .. [ICC12] International Code Council. (2011). 2012 International Fire Code, Appendix B - Fire-Flow Requirements for Buildings. Country Club Hills, IL: International Code Council, ISBN: 978-1-60983-046-5. -.. [JaSr08] Jayaram, N. and Srinivasan, K. (2008). Performance-based optimal design and rehabilitation of water distribution networks using life cycle costing. Water resources research, 44(1). +.. [JaSr08] Jayaram, N. and Srinivasan, K. (2008). Performance-based optimal design and rehabilitation of water distribution networks using life cycle costing. Water Resources Research, 44(1). .. [JCMG11] Joyner, D., Certik, O., Meurer, A., and Granger, B.E. (2012). Open source computer algebra systems, SymPy. ACM Communications in Computer Algebra, 45(4), 225-234. @@ -62,7 +62,7 @@ References .. [SPHC16] Sievert, C., Parmer, C., Hocking, T., Chamberlain, S., Ram, K., Corvellec, M., and Despouy, P. (2016). plotly: Create interactive web graphics via Plotly’s JavaScript graphing library [Software]. -.. [SRU23] Shang, F., Rossman, L. A., Uber, J.G. (2023). EPANET-MSX 2.0 User Manual. U.S. Environmental Protection Agency, Cincinnati, OH. EPA/600/R-22/199. +.. [SRU23] Shang, F., Rossman, L. A., and Uber, J.G. (2023). EPANET-MSX 2.0 User Manual. U.S. Environmental Protection Agency, Cincinnati, OH. EPA/600/R-22/199. .. [Todi00] Todini, E. (2000). Looped water distribution networks design using a resilience index based heuristic approach. Urban Water, 2(2), 115-122. diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index 82ce50f61..fdf405dd5 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -1,5 +1,8 @@ # coding: utf-8 -"""Exceptions for EPANET toolkit and IO operations.""" +""" +The wntr.epanet.expections module contains Exceptions for EPANET toolkit +and IO operations. +""" from typing import List diff --git a/wntr/epanet/msx/__init__.py b/wntr/epanet/msx/__init__.py index b7ae5c121..5fbc99912 100644 --- a/wntr/epanet/msx/__init__.py +++ b/wntr/epanet/msx/__init__.py @@ -1,15 +1,19 @@ -"""The wntr.epanet.msx package provides EPANET-MSX compatibility functions for WNTR. +# coding: utf-8 +""" +The wntr.epanet.msx package provides EPANET-MSX compatibility functions for +WNTR. -The following environment variable must be set, or the command `set_msx_path` must -be run prior to trying to instantiate the EPANET-MSX toolkit. +The following environment variable must be set, or the command `set_msx_path` +must be run prior to trying to instantiate the EPANET-MSX toolkit. .. envvar:: WNTR_PATH_TO_EPANETMSX - The full path to the directory where EPANET-MSX has been installed. Specifically, - the directory should contain both toolkit files, epanet2.dll and epanetmsx.dll - (or the appropriate equivalent files for your system architecture). - + The full path to the directory where EPANET-MSX has been installed. + Specifically, the directory should contain both toolkit files, epanet2.dll + and epanetmsx.dll (or the appropriate equivalent files for your system + architecture). """ + import os as _os def set_msx_path(path): diff --git a/wntr/epanet/msx/enums.py b/wntr/epanet/msx/enums.py index e2a77fead..73d7134fc 100644 --- a/wntr/epanet/msx/enums.py +++ b/wntr/epanet/msx/enums.py @@ -1,18 +1,22 @@ -"""EPANET-MSX enum types, for use in toolkit API calls.""" +# coding: utf-8 +""" +The wntr.epanet.msx.enums module contains EPANET-MSX enum types, for use in +toolkit API calls. +""" from enum import IntEnum from wntr.utils.enumtools import add_get @add_get(prefix='MSX_') class TkObjectType(IntEnum): - """The enumeration for object type used in EPANET-MSX. - + """Enumeration for object type used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NODE @@ -48,14 +52,14 @@ class TkObjectType(IntEnum): @add_get(prefix='MSX_') class TkSourceType(IntEnum): - """The enumeration for source type used in EPANET-MSX. - + """Enumeration for source type used in EPANET-MSX. + .. warning:: These enum values start with -1. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NOSOURCE @@ -78,14 +82,14 @@ class TkSourceType(IntEnum): @add_get(prefix='MSX_') class TkUnitSystem(IntEnum): - """The enumeration for the units system used in EPANET-MSX. - + """Enumeration for the units system used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: US @@ -99,14 +103,15 @@ class TkUnitSystem(IntEnum): @add_get(prefix='MSX_') class TkFlowUnits(IntEnum): - """The enumeration for the flow units used in EPANET-MSX (determined from EPANET INP file read in with the toolkit). - + """Enumeration for the flow units used in EPANET-MSX (determined from + EPANET INP file read in with the toolkit). + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: CFS @@ -144,14 +149,14 @@ class TkFlowUnits(IntEnum): @add_get(prefix='MSX_') class TkMixType(IntEnum): - """The enumeration for the mixing model used in EPANET-MSX. - + """Enumeration for the mixing model used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: MIX1 @@ -171,14 +176,14 @@ class TkMixType(IntEnum): @add_get(prefix='MSX_') class TkSpeciesType(IntEnum): - """The enumeration for species type used in EPANET-MSX. + """Enumeration for species type used in EPANET-MSX. .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: BULK @@ -192,14 +197,14 @@ class TkSpeciesType(IntEnum): @add_get(prefix='MSX_') class TkExpressionType(IntEnum): - """The enumeration for the expression type used in EPANET-MSX. - + """Enumeration for the expression type used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NO_EXPR @@ -219,14 +224,14 @@ class TkExpressionType(IntEnum): @add_get(prefix='MSX_') class TkSolverType(IntEnum): - """The enumeration for the solver type used in EPANET-MSX. - + """Enumeration for the solver type used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: EUL @@ -243,14 +248,14 @@ class TkSolverType(IntEnum): @add_get(prefix='MSX_') class TkCouplingType(IntEnum): - """The enumeration for the coupling type option used in EPANET-MSX. - + """Enumeration for the coupling type option used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NO_COUPLING @@ -264,14 +269,14 @@ class TkCouplingType(IntEnum): @add_get(prefix='MSX_') class TkMassUnits(IntEnum): - """The enumeration for mass units used in EPANET-MSX. + """Enumeration for mass units used in EPANET-MSX. .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: MG @@ -291,14 +296,14 @@ class TkMassUnits(IntEnum): @add_get(prefix='MSX_') class TkAreaUnits(IntEnum): - """The enumeration for area units used in EPANET-MSX. - + """Enumeration for area units used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: FT2 @@ -315,14 +320,14 @@ class TkAreaUnits(IntEnum): @add_get(prefix='MSX_') class TkRateUnits(IntEnum): - """The enumeration for rate units used in EPANET-MSX. - + """Enumeration for rate units used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: SECONDS @@ -342,14 +347,14 @@ class TkRateUnits(IntEnum): @add_get(prefix='MSX_') class TkUnits(IntEnum): - """The position for units used in EPANET-MSX. - + """Position for units used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: LENGTH_UNITS @@ -379,14 +384,14 @@ class TkUnits(IntEnum): @add_get(prefix='MSX_') class TkHydVar(IntEnum): - """The enumeration for hydraulic variable used in EPANET-MSX. + """Enumeration for hydraulic variable used in EPANET-MSX. .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: DIAMETER @@ -422,14 +427,14 @@ class TkHydVar(IntEnum): @add_get(prefix='MSX_') class TkTstat(IntEnum): - """The enumeration used for time statistic in EPANET-MSX. - + """Enumeration used for time statistic in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: SERIES @@ -452,14 +457,14 @@ class TkTstat(IntEnum): @add_get(prefix='MSX_') class TkOption(IntEnum): - """The enumeration used for choosing an option in EPANET-MSX toolkit. + """Enumeration used for choosing an option in EPANET-MSX toolkit. .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: AREA_UNITS_OPTION @@ -497,14 +502,14 @@ class TkOption(IntEnum): @add_get(prefix='MSX_') class TkCompiler(IntEnum): - """The enumeration used for specifying compiler options in EPANET-MSX. - + """Enumeration used for specifying compiler options in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: NO_COMPILER @@ -521,14 +526,14 @@ class TkCompiler(IntEnum): @add_get(prefix='MSX_') class TkFileMode(IntEnum): - """The enumeration for file model used in EPANET-MSX. - + """Enumeration for file model used in EPANET-MSX. + .. warning:: These enum values start with 0. .. rubric:: Enum Members - The following enum names are defined, and, if using the :meth:`get` method, then - they are case insensitive and can be optionally prefixed with "MSX\_". + The following enum names are defined, and, if using the :meth:`get` method, + then they are case insensitive and can be optionally prefixed with "MSX\_". .. autosummary:: SCRATCH_FILE diff --git a/wntr/epanet/msx/exceptions.py b/wntr/epanet/msx/exceptions.py index 2ed33e506..a1dcc6ee4 100644 --- a/wntr/epanet/msx/exceptions.py +++ b/wntr/epanet/msx/exceptions.py @@ -1,12 +1,12 @@ # coding: utf-8 -"""EPANET-MSX error and exception classes.""" +""" +The wntr.epanet.msx.exceptions module contains Exceptions for EPANET-MSX +IO operations. +""" -from enum import IntEnum from typing import List -from wntr.utils.enumtools import add_get - -from ..exceptions import EN_ERROR_CODES, EpanetException +from ..exceptions import EpanetException MSX_ERROR_CODES = { # MSX syntax errors @@ -52,21 +52,25 @@ :meta hide-value: """ + class EpanetMsxException(EpanetException): - def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> None: - """An Exception class for EPANET-MSX Toolkit and IO exceptions. + def __init__(self, code: int, *args: List[object], line_num=None, + line=None) -> None: + """Exception class for EPANET-MSX Toolkit and IO exceptions Parameters ---------- code : int or str or MSXErrors - The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + EPANET-MSX error code (int) or a string mapping to the MSXErrors + enum members args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to - replace the format, otherwise they will be output at the end of the Exception message. + If there is a string-format within the error code's text, these + will be used to replace the format, otherwise they will be output + at the end of the Exception message. line_num : int, optional - The line number, if reading an INP file, by default None + Line number, if reading an INP file, by default None line : str, optional - The contents of the line, by default None + Contents of the line, by default None """ if not code or int(code) < 400: return super().__init__(code, *args, line_num=line_num, line=line) @@ -87,61 +91,68 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> class MSXSyntaxError(EpanetMsxException, SyntaxError): def __init__(self, code, *args, line_num=None, line=None) -> None: - """An MSX-specific error that is due to a syntax error in an msx-file. + """MSX-specific error that is due to a syntax error in an msx-file. Parameters ---------- code : int or str or MSXErrors - The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + EPANET-MSX error code (int) or a string mapping to the MSXErrors + enum members args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to - replace the format, otherwise they will be output at the end of the Exception message. + If there is a string-format within the error code's text, these + will be used to replace the format, otherwise they will be output + at the end of the Exception message. line_num : int, optional - The line number, if reading an INP file, by default None + Line number, if reading an INP file, by default None line : str, optional - The contents of the line, by default None + Contents of the line, by default None """ super().__init__(code, *args, line_num=line_num, line=line) class MSXKeyError(EpanetMsxException, KeyError): def __init__(self, code, name, *args, line_num=None, line=None) -> None: - """An MSX-specific error that is due to a missing or unacceptably named variable/speces/etc. + """MSX-specific error that is due to a missing or unacceptably named + variable/speces/etc. Parameters ---------- code : int or str or MSXErrors - The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + EPANET-MSX error code (int) or a string mapping to the MSXErrors + enum members name : str - The key/name/id that is missing + Key/name/id that is missing args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to - replace the format, otherwise they will be output at the end of the Exception message. + If there is a string-format within the error code's text, these + will be used to replace the format, otherwise they will be output + at the end of the Exception message. line_num : int, optional - The line number, if reading an INP file, by default None + Line number, if reading an INP file, by default None line : str, optional - The contents of the line, by default None + Contents of the line, by default None """ super().__init__(code, name, *args, line_num=line_num, line=line) class MSXValueError(EpanetMsxException, ValueError): def __init__(self, code, value, *args, line_num=None, line=None) -> None: - """An MSX-specific error that is related to an invalid value. + """MSX-specific error that is related to an invalid value. Parameters ---------- code : int or str or MSXErrors - The EPANET-MSX error code (int) or a string mapping to the MSXErrors enum members + EPANET-MSX error code (int) or a string mapping to the MSXErrors + enum members value : Any - The value that is invalid + Value that is invalid args : additional non-keyword arguments, optional - If there is a string-format within the error code's text, these will be used to - replace the format, otherwise they will be output at the end of the Exception message. + If there is a string-format within the error code's text, these + will be used to replace the format, otherwise they will be output + at the end of the Exception message. line_num : int, optional - The line number, if reading an INP file, by default None + Line number, if reading an INP file, by default None line : str, optional - The contents of the line, by default None + Contents of the line, by default None """ super().__init__(code, value, *args, line_num=line_num, line=line) diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index e1a87ae31..fc271d30e 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -1,5 +1,8 @@ # coding: utf-8 -"""I/O functions for EPANET-MSX toolkit compatibility""" +""" +The wntr.epanet.msx io module contains methods for reading/writing EPANET +MSX input and output files. +""" import datetime import logging @@ -13,8 +16,7 @@ import wntr.network from wntr.epanet.msx.exceptions import EpanetMsxException, MSXValueError from wntr.epanet.util import ENcomment -from wntr.network.elements import Source -from wntr.msx.base import ReactionType, VariableType, SpeciesType +from wntr.msx.base import VariableType, SpeciesType from wntr.msx.model import MsxModel sys_default_enc = sys.getdefaultencoding() @@ -79,20 +81,22 @@ def __init__(self): @classmethod def read(cls, msx_filename: str, rxn_model: MsxModel = None): """ - Read an EPANET-MSX input file (.msx) and load data into a water quality - reactions model. Only MSX 2.0 files are recognized. + Read an EPANET-MSX input file (.msx) and load data into a MsxModel. + Only MSX 2.0 files are recognized. Parameters ---------- msx_file : str - the filename of the .msx file to read in - rxn_model : WaterQualityReactionsModel, optional - the model to put data into, by default None (new model) + Filename of the .msx file to read in + rxn_model : MsxModel, optional + Multi-species water quality model to put data into, + by default None (new model) Returns ------- - WaterQualityReactionsModel - the model with the new species, reactions and other options added + MsxModel + Multi-species water quality model with the new species, reactions + and other options added """ if rxn_model is None: rxn_model = MsxModel() @@ -180,9 +184,9 @@ def write(cls, filename: str, msx: MsxModel): Parameters ---------- filename : str - the filename to write - rxn : MultispeciesQualityModel - the multispecies reaction model + Filename to write + rxn : MsxModel + Multi-species water quality model """ obj = cls() obj.rxn = msx diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py index 20aea7cd8..e7ffdd78e 100644 --- a/wntr/epanet/msx/toolkit.py +++ b/wntr/epanet/msx/toolkit.py @@ -1,18 +1,18 @@ +# coding: utf-8 """ -The wntr.reaction.toolkit module is a Python extension for the EPANET MSX +The wntr.epanet.msx.toolkit module is a Python extension for the EPANET-MSX Programmers Toolkit DLLs. .. note:: - Code in this section based on code from "EPANET-MSX-Python-wrapper", - licensed under the BSD license. See LICENSE.txt for details. + Code in this section is based on code from "EPANET-MSX-Python-wrapper", + licensed under the BSD license. See LICENSE.md for details. """ import ctypes import os import os.path import platform import sys -from ctypes import byref from typing import Union from pkg_resources import resource_filename @@ -20,7 +20,6 @@ from wntr.epanet.msx.enums import TkObjectType, TkSourceType from ..toolkit import ENepanet -from ..util import SizeLimits from .exceptions import MSX_ERROR_CODES, EpanetMsxException, MSXKeyError, MSXValueError epanet_toolkit = "wntr.epanet.toolkit" @@ -119,14 +118,14 @@ def _error(self, *args): raise EpanetMsxException(self.errcode) return - # ----------running the simulation----------------------------------------------------- + # ----------running the simulation----------------------------------------- def MSXopen(self, msxfile): """Opens the MSX Toolkit to analyze a particular distribution system. Parameters ---------- msxfile : str - name of the MSX input file + Name of the MSX input file """ if msxfile is not None: msxfile = ctypes.c_char_p(msxfile.encode()) @@ -141,7 +140,8 @@ def MSXclose(self): raise EpanetMsxException(ierr) def MSXusehydfile(self, filename): - """Uses the contents of the specified file as the current binary hydraulics file + """Uses the contents of the specified file as the current binary + hydraulics file Parameters ---------- @@ -160,22 +160,25 @@ def MSXsolveH(self): raise EpanetMsxException(ierr) def MSXinit(self, saveFlag=0): - """Initializes the MSX system before solving for water quality results in step-wise fashion - set saveFlag to 1 if water quality results should be saved to a scratch binary file, or to 0 is not saved to file""" + """Initializes the MSX system before solving for water quality results + in step-wise fashion set saveFlag to 1 if water quality results should + be saved to a scratch binary file, or to 0 is not saved to file""" saveFlag = int(saveFlag) ierr = self.ENlib.MSXinit(saveFlag) if ierr != 0: raise EpanetMsxException(ierr) def MSXsolveQ(self): - """solves for water quality over the entire simulation period and saves the results to an internal scratch file""" + """Solves for water quality over the entire simulation period and saves + the results to an internal scratch file""" ierr = self.ENlib.MSXsolveQ() if ierr != 0: raise EpanetMsxException(ierr) def MSXstep(self): """Advances the water quality simulation one water quality time step. - The time remaining in the overall simulation is returned as tleft, the current time as t.""" + The time remaining in the overall simulation is returned as tleft, the + current time as t.""" t = ctypes.c_long() tleft = ctypes.c_long() ierr = self.ENlib.MSXstep(ctypes.byref(t), ctypes.byref(tleft)) @@ -185,8 +188,9 @@ def MSXstep(self): return out def MSXsaveoutfile(self, filename): - """saves water quality results computed for each node, link and reporting time period to a named binary file - + """Saves water quality results computed for each node, link and + reporting time period to a named binary file + Parameters ---------- filename : str @@ -197,45 +201,47 @@ def MSXsaveoutfile(self, filename): raise EpanetMsxException(ierr) def MSXsavemsxfile(self, filename): - """saves the data associated with the current MSX project into a new MSX input file - + """Saves the data associated with the current MSX project into a new + MSX input file + Parameters ---------- filename : str - the name of the MSX input file to create + Name of the MSX input file to create """ ierr = self.ENlib.MSXsavemsxfile(ctypes.c_char_p(filename.encode())) if ierr != 0: raise EpanetMsxException(ierr, filename) def MSXreport(self): - """Writes water quality simulations results as instructed by the MSX input file to a text file""" + """Writes water quality simulations results as instructed by the MSX + input file to a text file""" ierr = self.ENlib.MSXreport() if ierr != 0: raise EpanetMsxException(ierr) - # ---------get parameters--------------------------------------------------------------- + # ---------get parameters-------------------------------------------------- def MSXgetindex(self, _type: Union[int, TkObjectType], name): - """Retrieves the internal index of an MSX object given its name. + """Gets the internal index of an MSX object given its name. Parameters ---------- _type : int, str or ObjectType - The type of object to get an index for + Type of object to get an index for name : str - The name of the object to get an index for + Name of the object to get an index for Returns ------- int - The internal index + Internal index Raises ------ MSXKeyError - if an invalid str is passed for _type + If an invalid str is passed for _type MSXValueError - if _type is not a valid MSX object type + If _type is not a valid MSX object type """ try: _type = TkObjectType.get(_type) @@ -249,19 +255,20 @@ def MSXgetindex(self, _type: Union[int, TkObjectType], name): return ind.value def MSXgetIDlen(self, _type, index): - """Retrieves the number of characters in the ID name of an MSX object given its internal index number. + """Get the number of characters in the ID name of an MSX object + given its internal index number. Parameters ---------- _type : int, str or ObjectType - The type of object to get an index for - index : int - The index of the object to get the ID length for + Type of object to get an index for + index : int + Index of the object to get the ID length for Returns ------- int - the length of the object ID + Length of the object ID """ try: _type = TkObjectType.get(_type) @@ -275,19 +282,19 @@ def MSXgetIDlen(self, _type, index): return len.value def MSXgetID(self, _type, index): - """Retrieves the ID name of an object given its internal index number + """Get the ID name of an object given its internal index number Parameters ---------- _type : int, str or ObjectType - The type of object to get an index for - index : int - The index of the object to get the ID for + Type of object to get an index for + index : int + Index of the object to get the ID for Returns ------- str - the object ID + Object ID """ try: _type = TkObjectType.get(_type) @@ -303,31 +310,31 @@ def MSXgetID(self, _type, index): return id.value.decode() def MSXgetinitqual(self, _type, node_link_index, species_index): - """Retrieves the initial concentration of a particular chemical species assigned to a specific node - or link of the pipe network + """Get the initial concentration of a particular chemical species + assigned to a specific node or link of the pipe network Parameters ---------- _type : str, int or ObjectType - the type of object + Type of object node_link_index : int - the object index + Object index species_index : int - the species index + Species index Returns ------- float - the initial quality value for that node or link + Initial quality value for that node or link Raises ------ MSXKeyError - the type passed in for ``_type`` is not valid + Type passed in for ``_type`` is not valid MSXValueError - the value for ``_type`` is not valid + Value for ``_type`` is not valid EpanetMsxException - any other error from the C-API + Any other error from the C-API """ try: _type = TkObjectType.get(_type) @@ -343,30 +350,31 @@ def MSXgetinitqual(self, _type, node_link_index, species_index): return iniqual.value def MSXgetqual(self, _type, node_link_index, species_index): - """Retrieves a chemical species concentration at a given node or the average concentration along a link at the current simulation time step + """Get a chemical species concentration at a given node or the + average concentration along a link at the current simulation time step Parameters ---------- _type : str, int or ObjectType - the type of object + Type of object node_link_index : int - the object index + Object index species_index : int - the species index + Species index Returns ------- float - the current quality value for that node or link + Current quality value for that node or link Raises ------ MSXKeyError - the type passed in for ``_type`` is not valid + Type passed in for ``_type`` is not valid MSXValueError - the value for ``_type`` is not valid + Value for ``_type`` is not valid EpanetMsxException - any other error from the C-API + Any other error from the C-API """ try: _type = TkObjectType.get(_type) @@ -382,22 +390,22 @@ def MSXgetqual(self, _type, node_link_index, species_index): return qual.value def MSXgetconstant(self, constant_index): - """Retrieves the value of a particular reaction constant + """Get the value of a particular reaction constant Parameters ---------- constant_index : int - index to the constant + Index to the constant Returns ------- float - the value of the constant + Value of the constant Raises ------ EpanetMsxException - a toolkit error occurred + Toolkit error occurred """ const = ctypes.c_double() ierr = self.ENlib.MSXgetconstant(constant_index, ctypes.byref(const)) @@ -406,30 +414,31 @@ def MSXgetconstant(self, constant_index): return const.value def MSXgetparameter(self, _type, node_link_index, param_index): - """Retrieves the value of a particular reaction parameter for a given TANK or PIPE. + """Get the value of a particular reaction parameter for a given + TANK or PIPE. Parameters ---------- _type : int or str or Enum - get the type of the parameter + Get the type of the parameter node_link_index : int - the link index + Link index param_index : int - the parameter variable index + Parameter variable index Returns ------- float - the parameter value + Parameter value Raises ------ MSXKeyError - if there is no such _type + If there is no such _type MSXValueError - if the _type is improper + If the _type is improper EpanetMsxException - any other error + Any other error """ try: _type = TkObjectType.get(_type) @@ -445,10 +454,24 @@ def MSXgetparameter(self, _type, node_link_index, param_index): return param.value def MSXgetsource(self, node_index, species_index): - """Retrieves information on any external source of a particular chemical species assigned to a specific node of the pipe network + """Get information on any external source of a particular + chemical species assigned to a specific node of the pipe network + + Parameters + ---------- + node_index : int + Node index + species_index : int + Species index + + Returns + ------- + list + [source type, level, and pattern] where level is the baseline + concentration (or mass flow rate) of the source and pattern the + index of the time pattern used to add variability to the source's + baseline level (0 if no pattern defined for the source) """ - #level is returned with the baseline concentration (or mass flow rate) of the source - #pat is returned with the index of the time pattern used to add variability to the source's baseline level (0 if no pattern defined for the source)""" level = ctypes.c_double() _type = ctypes.c_int() pat = ctypes.c_int() @@ -459,17 +482,17 @@ def MSXgetsource(self, node_index, species_index): return src_out def MSXgetpatternlen(self, pat): - """Retrieves the number of time periods within a SOURCE time pattern. + """Get the number of time periods within a SOURCE time pattern. Parameters ---------- pat : int - pattern index + Pattern index Returns ------- int - number of time periods in the pattern + Number of time periods in the pattern """ len = ctypes.c_int() ierr = self.ENlib.MSXgetpatternlen(pat, ctypes.byref(len)) @@ -478,19 +501,19 @@ def MSXgetpatternlen(self, pat): return len.value def MSXgetpatternvalue(self, pat, period): - """Retrieves the multiplier at a specific time period for a given SOURCE time pattern + """Get the multiplier at a specific time period for a given + SOURCE time pattern Parameters ---------- pat : int - pattern index + Pattern index period : int 1-indexed period of the pattern to retrieve Returns ------- - float - the multiplier + Multiplier """ val = ctypes.c_double() ierr = self.ENlib.MSXgetpatternvalue(pat, period, ctypes.byref(val)) @@ -499,22 +522,22 @@ def MSXgetpatternvalue(self, pat, period): return val.value def MSXgetcount(self, _type): - """Retrieves the number of objects of a specified type. + """Get the number of objects of a specified type. Parameters ---------- _type : int or str or Enum - the type of object to count + Type of object to count Returns ------- int - the number of objects of specified type + Number of objects of specified type Raises ------ MSXKeyError - if the _type is invalid + If the _type is invalid """ try: _type = TkObjectType.get(_type) @@ -528,18 +551,19 @@ def MSXgetcount(self, _type): return count.value def MSXgetspecies(self, species_index): - """Retrieves the attributes of a chemical species given its internal index number. - species is the sequence number of the species (starting from 1 as listed in the MSX input file + """Get the attributes of a chemical species given its internal + index number. Parameters ---------- species_index : int - the species to query + Species index to query (starting from 1 as listed in the MSX input + file) Returns ------- int, str, float, float - the type, units, aTol, and rTol for the species + Type, units, aTol, and rTol for the species """ type_ind = ctypes.c_int() units = ctypes.create_string_buffer(15) @@ -552,25 +576,25 @@ def MSXgetspecies(self, species_index): return spe_out def MSXgeterror(self, errcode, len=100): - """returns the text for an error message given its error code + """Get the text for an error message given its error code Parameters ---------- errcode : int - the error code + Error code len : int, optional - the length of the error message, by default 100 and minimum 80 + Length of the error message, by default 100 and minimum 80 Returns ------- str - returns a string decoded from the DLL + String decoded from the DLL Warning ------- - Getting string parameters in this way is not recommended, because it requires - setting up string arrays that may or may not be the correct size. Use the - wntr.epanet.msx.enums package to get error information. + Getting string parameters in this way is not recommended, because it + requires setting up string arrays that may or may not be the correct + size. Use the wntr.epanet.msx.enums package to get error information. """ errmsg = ctypes.create_string_buffer(len) self.ENlib.MSXgeterror(errcode, ctypes.byref(errmsg), len) @@ -579,39 +603,40 @@ def MSXgeterror(self, errcode, len=100): # --------------set parameters----------------------------------- def MSXsetconstant(self, ind, value): - """assigns a new value to a specific reaction constant + """Set a new value to a specific reaction constant Parameters ---------- ind : int - the index to the variable + Index to the variable value : float - the value to give the constant + Value to give the constant """ ierr = self.ENlib.MSXsetconstant(ctypes.c_int(ind), ctypes.c_double(value)) if ierr != 0: raise EpanetMsxException(ierr) def MSXsetparameter(self, _type, ind, param, value): - """assigns a value to a particular reaction parameter for a given TANK or PIPE + """Set a value to a particular reaction parameter for a given TANK + or PIPE Parameters ---------- _type : int or str or enum - the type of value to set + Type of value to set ind : int - the tank or pipe index + Tank or pipe index param : int - the parameter variable index + Parameter variable index value : float - the value to be set + Value to be set Raises ------ MSXKeyError - if there is no such _type + If there is no such _type MSXValueError - if the _type is invalid + If the _type is invalid """ try: _type = TkObjectType.get(_type) @@ -625,19 +650,19 @@ def MSXsetparameter(self, _type, ind, param, value): raise EpanetMsxException(ierr) def MSXsetinitqual(self, _type, ind, spe, value): - """Retrieves the initial concentration of a particular chemical species assigned to a specific node - or link of the pipe network. + """Set the initial concentration of a particular chemical species + assigned to a specific node or link of the pipe network. Parameters ---------- _type : int or str or enum - what type of network element is being set + Type of network element to set ind : int - the index of the network element + Index of the network element spe : int - the index of the species + Index of the species value : float - the initial quality value + Initial quality value """ try: _type = TkObjectType.get(_type) @@ -651,20 +676,21 @@ def MSXsetinitqual(self, _type, ind, spe, value): raise EpanetMsxException(ierr) def MSXsetsource(self, node, spe, _type, level, pat): - """sets the attributes of an external source of a particular chemical species in a specific node of the pipe network + """Set the attributes of an external source of a particular chemical + species in a specific node of the pipe network Parameters ---------- node : int - the node index + Node index spe : int - the species index + Species index _type : int or str or enum - the type of source + Type of source level : float - the source quality value + Source quality value pat : int - the pattern index + Pattern index """ try: _type = TkSourceType.get(_type) @@ -676,14 +702,14 @@ def MSXsetsource(self, node, spe, _type, level, pat): raise EpanetMsxException(ierr) def MSXsetpattern(self, pat, mult): - """assigns a new set of multipliers to a given MSX SOURCE time pattern + """Set multipliers to a given MSX SOURCE time pattern Parameters ---------- pat : int - the pattern index + Pattern index mult : list-like - the pattern multipliers + Pattern multipliers """ length = len(mult) cfactors_type = ctypes.c_double * length @@ -695,28 +721,29 @@ def MSXsetpattern(self, pat, mult): raise EpanetMsxException(ierr) def MSXsetpatternvalue(self, pat, period, value): - """Sets the multiplier factor for a specific period within a SOURCE time pattern. + """Set the multiplier factor for a specific period within a SOURCE time + pattern. Parameters ---------- pat : int - the pattern index + Pattern index period : int - the 1-indexed pattern time period index + 1-indexed pattern time period index value : float - the value to set at that time period + Value to set at that time period """ ierr = self.ENlib.MSXsetpatternvalue(ctypes.c_int(pat), ctypes.c_int(period), ctypes.c_double(value)) if ierr != 0: raise EpanetMsxException(ierr) def MSXaddpattern(self, patternid): - """Adds a new, empty MSX source time pattern to an MSX project. + """Add a new, empty MSX source time pattern to an MSX project. Parameters ---------- patternid : str - the name of the new pattern + Name of the new pattern """ ierr = self.ENlib.MSXaddpattern(ctypes.c_char_p(patternid.encode())) if ierr != 0: diff --git a/wntr/msx/__init__.py b/wntr/msx/__init__.py index e44b248fe..d563c9a97 100644 --- a/wntr/msx/__init__.py +++ b/wntr/msx/__init__.py @@ -1,11 +1,13 @@ -# -*- coding: utf-8 -*- -"""Contains definitions for EPANET Multispecies Extension (MSX) water quality modeling. +# coding: utf-8 +""" +The wntr.msx package contains methods to define EPANET Multi-species Extension +(MSX) water quality models. """ from .base import VariableType, SpeciesType, ReactionType, ExpressionType from .elements import Species, Constant, Parameter, Term, Reaction, HydraulicVariable, MathFunction from .model import MsxModel from .options import MsxSolverOptions -from .library import ReactionLibrary, cite_msx +from .library import ReactionLibrary from . import base, elements, library, model, options diff --git a/wntr/msx/_library_data/arsenic_chloramine.json b/wntr/msx/_library_data/arsenic_chloramine.json index c67e1dc13..8661afaa3 100644 --- a/wntr/msx/_library_data/arsenic_chloramine.json +++ b/wntr/msx/_library_data/arsenic_chloramine.json @@ -1,10 +1,10 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "arsenic_chloramine", "title": "Arsenic Oxidation/Adsorption Example", "description": "This example models monochloramine oxidation of arsenite/arsenate and wall adsoption/desorption, as given in section 3 of the EPANET-MSX user manual", "references": [ - "Shang, F. and Rossman, L.A. and Uber, J.G. (2023) \"EPANET-MSX 2.0 User Manual\". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199." + "Shang, F., Rossman, L. A., and Uber, J.G. (2023). EPANET-MSX 2.0 User Manual. U.S. Environmental Protection Agency, Cincinnati, OH. EPA/600/R-22/199." ], "reaction_system": { "species": [ diff --git a/wntr/msx/_library_data/batch_chloramine_decay.json b/wntr/msx/_library_data/batch_chloramine_decay.json index fc4c416db..6563c38e0 100644 --- a/wntr/msx/_library_data/batch_chloramine_decay.json +++ b/wntr/msx/_library_data/batch_chloramine_decay.json @@ -1,5 +1,5 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "batch_chloramine_decay", "title": "Batch chloramine decay example", "description": null, diff --git a/wntr/msx/_library_data/lead_ppm.json b/wntr/msx/_library_data/lead_ppm.json index 63a69e852..7d483200b 100644 --- a/wntr/msx/_library_data/lead_ppm.json +++ b/wntr/msx/_library_data/lead_ppm.json @@ -1,5 +1,5 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "lead_ppm", "title": "Lead Plumbosolvency Model (from Burkhardt et al 2020)", "description": "Parameters for EPA HPS Simulator Model", diff --git a/wntr/msx/_library_data/nicotine.json b/wntr/msx/_library_data/nicotine.json index 7603d684d..999f7b888 100644 --- a/wntr/msx/_library_data/nicotine.json +++ b/wntr/msx/_library_data/nicotine.json @@ -1,5 +1,5 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "nicotine", "title": "Nicotine - Chlorine reaction", "description": null, diff --git a/wntr/msx/_library_data/nicotine_ri.json b/wntr/msx/_library_data/nicotine_ri.json index f73267661..6554f0469 100644 --- a/wntr/msx/_library_data/nicotine_ri.json +++ b/wntr/msx/_library_data/nicotine_ri.json @@ -1,5 +1,5 @@ { - "wntr-version": "1.0.0", + "wntr-version": "", "name": "nicotine_ri", "title": "Nicotine - Chlorine reaction with reactive intermediate", "description": null, diff --git a/wntr/msx/base.py b/wntr/msx/base.py index e795616c7..6bc035ddc 100644 --- a/wntr/msx/base.py +++ b/wntr/msx/base.py @@ -1,7 +1,9 @@ -# -*- coding: utf-8 -*- +# coding: utf-8 +""" +The wntr.msx.base module includes base classes for the multi-species water +quality model -"""The base classes for the the WNTR quality extensions module. -Other than the enum classes, the classes in this module are all abstract +Other than the enum classes, the classes in this module are all abstract and/or mixin classes, and should not be instantiated directly. """ @@ -9,8 +11,8 @@ import os from abc import ABC, abstractclassmethod, abstractmethod, abstractproperty from enum import Enum -from typing import Any, Dict, Iterator, List, Union, Generator -from wntr.epanet.util import ENcomment, NoteType +from typing import Any, Dict, Iterator, Generator +from wntr.epanet.util import NoteType from wntr.utils.disjoint_mapping import DisjointMapping from wntr.utils.enumtools import add_get @@ -59,11 +61,11 @@ def coth(x): {"name": "Av", "note": "Surface area per unit volume (area units/L) "}, {"name": "Len", "note": "Pipe length (feet or meters)"}, ] -"""The hydraulic variables defined in EPANET-MSX. +"""Hydraulic variables defined in EPANET-MSX. For reference, the valid values are provided in :numref:`table-msx-hyd-vars`. .. _table-msx-hyd-vars: -.. table:: Valid hydraulic variables in multispecies quality model expressions. +.. table:: Valid hydraulic variables in multi-species quality model expressions. ============== ================================================ **Name** **Description** @@ -149,7 +151,7 @@ def coth(x): + tuple([k.upper() for k in EXPR_FUNCTIONS.keys()]) + tuple([k.capitalize() for k in EXPR_FUNCTIONS.keys()]) ) -"""The WNTR reserved names. This includes the MSX hydraulic variables +"""WNTR reserved names. This includes the MSX hydraulic variables (see :numref:`table-msx-hyd-vars`) and the MSX defined functions (see :numref:`table-msx-funcs`). @@ -167,7 +169,7 @@ def coth(x): @add_get(abbrev=True) class VariableType(Enum): - """The type of reaction variable. + """Type of reaction variable. The following types are defined, and aliases of just the first character are also defined. @@ -190,15 +192,15 @@ class VariableType(Enum): """ SPECIES = 3 - """A chemical or biological water quality species""" + """Chemical or biological water quality species""" TERM = 4 - """A functional term, or named expression, for use in reaction expressions""" + """Functional term, or named expression, for use in reaction expressions""" PARAMETER = 5 - """A reaction expression coefficient that is parameterized by tank or pipe""" + """Reaction expression coefficient that is parameterized by tank or pipe""" CONSTANT = 6 - """A constant coefficient for use in reaction expressions""" + """Constant coefficient for use in reaction expressions""" RESERVED = 9 - """A variable that is either a hydraulic variable or other reserved word""" + """Variable that is either a hydraulic variable or other reserved word""" S = SPEC = SPECIES T = TERM @@ -209,7 +211,7 @@ class VariableType(Enum): @add_get(abbrev=True) class SpeciesType(Enum): - """The enumeration for species type. + """Enumeration for species type .. warning:: These enum values are not the same as the MSX SpeciesType. @@ -228,9 +230,9 @@ class SpeciesType(Enum): """ BULK = 1 - """bulk species""" + """Bulk species""" WALL = 2 - """wall species""" + """Wall species""" B = BULK W = WALL @@ -238,7 +240,7 @@ class SpeciesType(Enum): @add_get(abbrev=True) class ReactionType(Enum): - """What type of network component does this reaction occur in + """Reaction type which specifies the location where the reaction occurs The following types are defined, and aliases of just the first character are also defined. @@ -256,9 +258,9 @@ class ReactionType(Enum): """ PIPE = 1 - """The expression describes a reaction in pipes""" + """Expression describes a reaction in pipes""" TANK = 2 - """The expression describes a reaction in tanks""" + """Expression describes a reaction in tanks""" P = PIPE T = TANK @@ -266,7 +268,7 @@ class ReactionType(Enum): @add_get(abbrev=True) class ExpressionType(Enum): - """The type of reaction expression. + """Type of reaction expression The following types are defined, and aliases of just the first character are also defined. @@ -287,12 +289,14 @@ class ExpressionType(Enum): """ EQUIL = 1 - """used for equilibrium expressions where it is assumed that the expression supplied is being equated to zero""" + """Equilibrium expressions where equation is being equated to zero""" RATE = 2 - """used to supply the equation that expresses the rate of change of the given species with respect to time as a function - of the other species in the model""" + """Rate expression where the equation expresses the rate of change of + the given species with respect to time as a function of the other species + in the model""" FORMULA = 3 - """used when the concentration of the named species is a simple function of the remaining species""" + """Formula expression where the concentration of the named species is a + simple function of the remaining species""" E = EQUIL R = RATE @@ -300,27 +304,27 @@ class ExpressionType(Enum): class ReactionBase(ABC): - """A water quality reaction class. + """Water quality reaction class This is an abstract class for water quality reactions with partial concrete - attribute and method definitions. All parameters - and methods documented here must be defined by a subclass except for the following: + attribute and method definitions. All parameters and methods documented + here must be defined by a subclass except for the following: - .. rubric:: Concrete attribtues + .. rubric:: Concrete attributes - The :meth:`__init__` method defines the following attributes concretely. Thus, - a subclass should call :code:`super().__init__(species_name, note=note)` at the beginning of its own - initialization. + The :meth:`__init__` method defines the following attributes concretely. + Thus, a subclass should call :code:`super().__init__(species_name, note=note)` + at the beginning of its own initialization. .. autosummary:: ~ReactionBase._species_name ~ReactionBase.note - .. rubric:: Concrete properies + .. rubric:: Concrete properties - The species name is protected, and a reaction cannot be manually assigned a new species. - Therefore, the following property is defined concretely. + The species name is protected, and a reaction cannot be manually assigned + a new species. Therefore, the following property is defined concretely. .. autosummary:: @@ -338,14 +342,15 @@ class ReactionBase(ABC): """ def __init__(self, species_name: str, *, note: NoteType = None) -> None: - """A water quality reaction definition. + """Water quality reaction definition This abstract class must be subclassed. Parameters ---------- species_name : str - The name of the chemical or biological species being modeled using this reaction. + Name of the chemical or biological species being modeled using this + reaction note : (str | dict | ENcomment), optional keyword Supplementary information regarding this reaction, by default None (see-also :class:`~wntr.epanet.util.NoteType`) @@ -353,52 +358,54 @@ def __init__(self, species_name: str, *, note: NoteType = None) -> None: Raises ------ TypeError - if expression_type is invalid + If expression_type is invalid """ if species_name is None: raise TypeError("The species_name cannot be None") self._species_name: str = str(species_name) - """The protected name of the species""" + """Protected name of the species""" self.note: NoteType = note - """An optional note regarding the reaction (see :class:`~wntr.epanet.util.NoteType`) + """Optional note regarding the reaction (see :class:`~wntr.epanet.util.NoteType`) """ @property def species_name(self) -> str: - """The name of the species that has a reaction being defined.""" + """Name of the species that has a reaction being defined.""" return self._species_name @abstractproperty def reaction_type(self) -> Enum: - """The reaction type (reaction location).""" + """Reaction type (reaction location).""" raise NotImplementedError def __str__(self) -> str: - """Return the name of the species and the reaction type, indicated by an arrow. E.g., 'HOCL->PIPE for chlorine reaction in pipes.""" + """Return the name of the species and the reaction type, indicated by + an arrow. E.g., 'HOCL->PIPE for chlorine reaction in pipes.""" return "{}->{}".format(self.species_name, self.reaction_type.name) def __repr__(self) -> str: - """Return a representation of the reaction from the dictionary representation - see :meth:`to_dict`""" + """Return a representation of the reaction from the dictionary + representation - see :meth:`to_dict`""" return "{}(".format(self.__class__.__name__) + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) + ")" @abstractmethod def to_dict(self) -> dict: - """Represent the object as a dictionary.""" + """Represent the object as a dictionary""" raise NotImplementedError class VariableBase(ABC): - """A multi-species water quality model variable. + """Multi-species water quality model variable - This is an abstract class for water quality model variables with partial definition - of concrete attributes and methods. Parameters - and methods documented here must be defined by a subclass except for the following: + This is an abstract class for water quality model variables with partial + definition of concrete attributes and methods. Parameters and methods + documented here must be defined by a subclass except for the following: - .. rubric:: Concrete attribtues + .. rubric:: Concrete attributes - The :meth:`__init__` method defines the following attributes concretely. Thus, - a subclass should call :code:`super().__init__()` at the beginning of its own - initialization. + The :meth:`__init__` method defines the following attributes concretely. + Thus, a subclass should call :code:`super().__init__()` at the beginning + of its own initialization. .. autosummary:: @@ -417,12 +424,12 @@ class VariableBase(ABC): """ def __init__(self, name: str, *, note: NoteType = None) -> None: - """Multi-species variable constructor arguments. + """Multi-species variable constructor arguments Parameters ---------- name : str - The name/symbol for the variable. Must be a valid MSX variable name. + Name/symbol for the variable. Must be a valid MSX variable name note : (str | dict | ENcomment), optional keyword Supplementary information regarding this variable, by default None (see-also :class:`~wntr.epanet.util.NoteType`) @@ -430,21 +437,21 @@ def __init__(self, name: str, *, note: NoteType = None) -> None: Raises ------ KeyExistsError - the name is already taken + Name is already taken ValueError - the name is a reserved word + Name is a reserved word """ if name in RESERVED_NAMES: raise ValueError("Name cannot be a reserved name") self.name: str = name - """The name/ID of this variable, must be a valid EPANET/MSX ID""" + """Name/ID of this variable, must be a valid EPANET/MSX ID""" self.note: NoteType = note - """An optional note regarding the variable (see :class:`~wntr.epanet.util.NoteType`) + """Optional note regarding the variable (see :class:`~wntr.epanet.util.NoteType`) """ @abstractproperty def var_type(self) -> Enum: - """The type of reaction variable""" + """Type of reaction variable""" raise NotImplementedError @abstractmethod @@ -457,24 +464,27 @@ def __str__(self) -> str: return self.name def __repr__(self) -> str: - """Return a representation of the variable from the dictionary representation - see :meth:`to_dict`""" + """Return a representation of the variable from the dictionary + representation - see :meth:`to_dict`""" return "{}(".format(self.__class__.__name__) + ", ".join(["{}={}".format(k, repr(getattr(self, k))) for k, v in self.to_dict().items()]) + ")" class ReactionSystemBase(ABC): - """Abstract class for reaction systems, which contains variables and reaction expressions. + """Abstract class for reaction systems, which contains variables and + reaction expressions. This class contains the functions necessary to perform dictionary-style addressing of *variables* by their name. It does not allow dictionary-style addressing of reactions. - This is an abstract class with some concrete attributes and methods. Parameters - and methods documented here must be defined by a subclass except for the following: + This is an abstract class with some concrete attributes and methods. + Parameters and methods documented here must be defined by a subclass + except for the following: .. rubric:: Concrete attributes - The :meth:`__init__` method defines the following attributes concretely. Thus, - a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. + The :meth:`__init__` method defines the following attributes concretely. + Thus, a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. .. autosummary:: @@ -483,8 +493,8 @@ class ReactionSystemBase(ABC): .. rubric:: Concrete methods - The following special methods are concretely provided to directly access items - in the :attr:`_vars` attribute. + The following special methods are concretely provided to directly access + items in the :attr:`_vars` attribute. .. autosummary:: :nosignatures: @@ -498,11 +508,12 @@ class ReactionSystemBase(ABC): """ def __init__(self) -> None: - """The constructor for the reaction system.""" + """Constructor for the reaction system.""" self._vars: DisjointMapping = DisjointMapping() - """The variables registry, which is mapped to dictionary functions on the reaction system object""" + """Variables registry, which is mapped to dictionary functions on the + reaction system object""" self._rxns: Dict[str, Any] = dict() - """The reactions dictionary""" + """Reactions dictionary""" @abstractmethod def add_variable(self, obj: VariableBase) -> None: @@ -516,12 +527,12 @@ def add_reaction(self, obj: ReactionBase) -> None: @abstractmethod def variables(self) -> Generator[Any, Any, Any]: - """A generator looping through all variables""" + """Generator looping through all variables""" raise NotImplementedError @abstractmethod def reactions(self) -> Generator[Any, Any, Any]: - """A generator looping through all reactions""" + """Generator looping through all reactions""" raise NotImplementedError @abstractmethod @@ -549,11 +560,11 @@ def __len__(self) -> int: class VariableValuesBase(ABC): - """Abstract class for a variable's network-specific values. + """Abstract class for a variable's network-specific values This class should contain values for different pipes, tanks, etc., that correspond to a specific network for the reaction - system. It can be used for intial concentration values, or + system. It can be used for initial concentration values, or for initial settings on parameters, but should be information that is clearly tied to a specific type of variable. @@ -563,23 +574,17 @@ class VariableValuesBase(ABC): @abstractproperty def var_type(self) -> Enum: - """The type of variable this object holds data for.""" + """Type of variable this object holds data for.""" raise NotImplementedError @abstractmethod def to_dict(self) -> dict: - """Represent a specific variable's network-specific values as a dictionary. - - Returns - ------- - dict - the network-specific values for a specific variable - """ + """Represent the object as a dictionary""" raise NotImplementedError class NetworkDataBase(ABC): - """Abstract class containing network specific data. + """Abstract class containing network specific data This class should be populated with things like initial quality, sources, parameterized values, etc. @@ -590,26 +595,21 @@ class NetworkDataBase(ABC): @abstractmethod def to_dict(self) -> dict: - """Represent the quality-relevant network-specific data as a dictionary. - - Returns - ------- - dict - the quality-relevant network data - """ + """Represent the object as a dictionary""" raise NotImplementedError class QualityModelBase(ABC): - """Abstract water quality model. + """Abstract multi-species water quality model - This is an abstract class for a water quality model. All parameters - and methods documented here must be defined by a subclass except for the following: + This is an abstract class for a water quality model. All parameters and + methods documented here must be defined by a subclass except for the + following: .. rubric:: Concrete attributes - The :meth:`__init__` method defines the following attributes concretely. Thus, - a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. + The :meth:`__init__` method defines the following attributes concretely. + Thus, a subclass should call :code:`super().__init__()` or :code:`super().__init__(filename)`. .. autosummary:: @@ -624,34 +624,34 @@ class QualityModelBase(ABC): """ def __init__(self, filename=None): - """Abstract water quality model. + """Abstract water quality model Parameters ---------- filename : str, optional - the file to use to populate the initial data + File to use to populate the initial data """ self.name: str = None if filename is None else os.path.splitext(os.path.split(filename)[1])[0] - """A name for the model, or the MSX model filename (no spaces allowed)""" + """Name for the model, or the MSX model filename (no spaces allowed)""" self.title: str = None - """The title line from the MSX file, must be a single line""" + """Title line from the MSX file, must be a single line""" self.description: str = None - """A longer description; note that multi-line descriptions may not be + """Longer description; note that multi-line descriptions may not be represented well in dictionary form""" self._orig_file: str = filename - """The protected original filename, if provided in the constructor""" + """Protected original filename, if provided in the constructor""" self._options = None - """The protected options data object""" + """Protected options data object""" self._rxn_system: ReactionSystemBase = None - """The protected reaction system object""" + """Protected reaction system object""" self._net_data: NetworkDataBase = None - """The protected network data object""" + """Protected network data object""" self._wn = None - """The protected water network object""" + """Protected water network object""" @abstractproperty def options(self): - """The model options structure. + """Model options structure Concrete classes should implement this with the appropriate typing and also implement a setter method. @@ -660,7 +660,7 @@ def options(self): @abstractproperty def reaction_system(self) -> ReactionSystemBase: - """The reaction variables defined for this model. + """Reaction variables defined for this model Concrete classes should implement this with the appropriate typing. """ @@ -668,7 +668,7 @@ def reaction_system(self) -> ReactionSystemBase: @abstractproperty def network_data(self) -> NetworkDataBase: - """The network-specific values added to this model. + """Network-specific values added to this model Concrete classes should implement this with the appropriate typing. """ @@ -676,27 +676,21 @@ def network_data(self) -> NetworkDataBase: @abstractmethod def to_dict(self) -> dict: - """Represent the model as a dictionary. - - Returns - ------- - dict - A dictionary representation of a water quality model - """ + """Represent the object as a dictionary""" raise NotImplementedError @abstractclassmethod def from_dict(self, data: dict) -> "QualityModelBase": - """Create a new model from a dictionary. + """Create a new model from a dictionary Parameters ---------- data : dict - A dictionary representation of a water quality model + Dictionary representation of the model Returns ------- QualityModelBase - the new concrete water quality model + New concrete model """ raise NotImplementedError diff --git a/wntr/msx/elements.py b/wntr/msx/elements.py index 82fa4236f..3499a59ef 100644 --- a/wntr/msx/elements.py +++ b/wntr/msx/elements.py @@ -1,11 +1,14 @@ -# -*- coding: utf-8 -*- - -"""Concrete implementations of MSX classes. +# coding: utf-8 +""" +The wntr.msx.elements module includes concrete implementations of the +multi-species water quality model elements, including species, constants, +parameters, terms, and reactions. """ + from __future__ import annotations import logging -from typing import Any, Dict, Literal, Tuple, Union +from typing import Any, Dict, Tuple, Union from wntr.epanet.util import ENcomment, NoteType from wntr.utils.disjoint_mapping import KeyExistsError @@ -25,7 +28,7 @@ class Species(VariableBase): - """A biological or chemical species that impacts water quality. + """Biological or chemical species """ def __init__( @@ -41,44 +44,46 @@ def __init__( _vars: ReactionSystemBase = None, _vals: VariableValuesBase = None, ) -> None: - """A biological or chemical species. + """Biological or chemical species Parameters ---------- name - The species name + Species name species_type - The species type + Species type units - The units of mass for this species, see :attr:`units` property. + Units of mass for this species, see :attr:`units` property. atol : float | None - The absolute tolerance when solving this species' equations, by default None + Absolute tolerance when solving this species' equations, by default + None rtol : float | None - The relative tolerance when solving this species' equations, by default None + Relative tolerance when solving this species' equations, by default + None note Supplementary information regarding this variable, by default None (see :class:`~wntr.epanet.util.NoteType`) diffusivity Diffusivity of the species in water, by default None _vars - the reaction system this species is a part of, by default None + Reaction system this species is a part of, by default None _vals - the initial quality values for this species, by default None + Initial quality values for this species, by default None Raises ------ KeyExistsError - if the name has already been used + If the name has already been used TypeError - if `atol` and `rtol` are not the same type + If `atol` and `rtol` are not the same type ValueError - if `atol` or `rtol` ≤ 0 + If `atol` or `rtol` ≤ 0 Notes ----- - EPANET-MSX requires that `atol` and `rtol` either both be omitted, or both be provided. - In order to enforce this, the arguments passed for `atol` and `rtol` must both be None - or both be positive values. + EPANET-MSX requires that `atol` and `rtol` either both be omitted, or + both be provided. In order to enforce this, the arguments passed for + `atol` and `rtol` must both be None or both be positive values. """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -94,12 +99,12 @@ def __init__( self._tolerances: Tuple[float, float] = None self.set_tolerances(atol, rtol) self.units: str = units - """The units of mass for this species. - For bulk species, concentration is this unit divided by liters, for wall species, concentration is this unit - divided by the model's area-unit (see options). + """Units of mass for this species. For bulk species, concentration is + this unit divided by liters, for wall species, concentration is this + unit divided by the model's area-unit (see options). """ self.diffusivity: float = diffusivity - """The diffusivity of this species in water, if being used, by default None""" + """Diffusivity of this species in water, if being used, by default None""" self._vars: ReactionSystemBase = _vars self._vals: InitialQuality = _vals @@ -112,16 +117,16 @@ def set_tolerances(self, atol: float, rtol: float): Parameters ---------- atol - The absolute tolerance to use + Absolute tolerance to use rtol - The relative tolerance to use + Relative tolerance to use Raises ------ TypeError - if only one of `atol` or `rtol` is a float + If only one of `atol` or `rtol` is a float ValueError - if `atol` or `rtol` ≤ 0 + If `atol` or `rtol` ≤ 0 """ if (atol is None) ^ (rtol is None): raise TypeError("atol and rtol must both be float or both be None") @@ -138,41 +143,43 @@ def get_tolerances(self) -> Union[Tuple[float, float], None]: Returns ------- (atol, rtol) : (float, float) or None - absolute and relative tolerances, respectively, if they are set + Absolute and relative tolerances, respectively, if they are set """ return self._tolerances def clear_tolerances(self): - """Set both tolerances to None, reverting to the global options value.""" + """Set both tolerances to None, reverting to the global options value. + """ self._tolerances = None @property def atol(self) -> float: - """The absolute tolerance. Must be set using :meth:`set_tolerances`""" + """Absolute tolerance. Must be set using :meth:`set_tolerances`""" if self._tolerances is not None: return self._tolerances[0] return None @property def rtol(self) -> float: - """The relative tolerance. Must be set using :meth:`set_tolerances`""" + """Relative tolerance. Must be set using :meth:`set_tolerances`""" if self._tolerances is not None: return self._tolerances[1] return None @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`.""" return VariableType.SPECIES @property def species_type(self) -> SpeciesType: - """The type of species, either :attr:`~wntr.msx.base.SpeciesType.BULK` or :attr:`~wntr.msx.base.SpeciesType.WALL`""" + """Type of species, either :attr:`~wntr.msx.base.SpeciesType.BULK` + or :attr:`~wntr.msx.base.SpeciesType.WALL`""" return self._species_type @property def initial_quality(self) -> 'InitialQuality': - """If a specific network has been linked, then the initial quality values for the network""" + """Initial quality values for the network""" if self._vals is not None: return self._vals else: @@ -180,7 +187,7 @@ def initial_quality(self) -> 'InitialQuality': @property def pipe_reaction(self) -> 'Reaction': - """The pipe reaction definition""" + """Pipe reaction definition""" if self._vars is not None: return self._vars.pipe_reactions[self.name] else: @@ -188,14 +195,14 @@ def pipe_reaction(self) -> 'Reaction': @property def tank_reaction(self) -> 'Reaction': - """The tank reaction definition""" + """Tank reaction definition""" if self._vars is not None: return self._vars.tank_reactions[self.name] else: raise AttributeError("This species is not connected to a ReactionSystem") def to_dict(self) -> Dict[str, Any]: - """Create a dictionary representation of the object + """Dictionary representation of the object The species dictionary has the following format, as described using a json schema. @@ -249,23 +256,23 @@ def to_dict(self) -> Dict[str, Any]: class Constant(VariableBase): - """A constant coefficient for use in reaction expressions.""" + """Constant coefficient for use in expressions""" def __init__(self, name: str, value: float, *, units: str = None, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None) -> None: - """A variable representing a constant value. + """Constant coefficient for use in expressions Parameters ---------- name - The name of the variable. + Name of the variable. value - The constant value. + Constant value. units Units for the variable, by default None note Supplementary information regarding this variable, by default None _vars - the reaction system this constant is a part of, by default None + Reaction system this constant is a part of, by default None """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -273,9 +280,9 @@ def __init__(self, name: str, value: float, *, units: str = None, note: Union[st if _vars is not None and name in _vars: raise KeyExistsError("This variable name is already taken") self.value: float = float(value) - """The value of the constant""" + """Value of the constant""" self.units: str = units - """The units of the constant""" + """Units of the constant""" self._vars: ReactionSystemBase = _vars def __call__(self, *, t=None) -> Any: @@ -283,10 +290,11 @@ def __call__(self, *, t=None) -> Any: @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.CONSTANT`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.CONSTANT`.""" return VariableType.CONSTANT def to_dict(self) -> Dict[str, Any]: + """Dictionary representation of the object""" ret = dict(name=self.name, value=self.value) if self.units: ret["units"] = self.units @@ -298,27 +306,27 @@ def to_dict(self) -> Dict[str, Any]: class Parameter(VariableBase): - """A coefficient that is parameterized by pipe/tank.""" + """Parameterized variable for use in expressions""" def __init__( self, name: str, global_value: float, *, units: str = None, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None, _vals: VariableValuesBase = None ) -> None: - """A parameterized variable for use in expressions. + """Parameterized variable for use in expressions Parameters ---------- name - The name of this parameter. + Name of this parameter. global_value - The global value for the parameter if otherwise unspecified. + Global value for the parameter if otherwise unspecified. units - The units for this parameter, by default None + Units for this parameter, by default None note Supplementary information regarding this variable, by default None _vars - the reaction system this parameter is a part of, by default None + Reaction system this parameter is a part of, by default None _vals - the netork-specific values for this parameter, by default None + Network-specific values for this parameter, by default None """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -343,21 +351,22 @@ def __call__(self, *, pipe: str = None, tank: str = None) -> float: Parameters ---------- pipe - the name of a pipe to get the parameter value for, by default None + Name of a pipe to get the parameter value for, by default None tank - the name of a pipe to get the parameter value for, by default None + Name of a pipe to get the parameter value for, by default None Returns ------- float - the value at the specified pipe or tank, or the global value + Value at the specified pipe or tank, or the global value Raises ------ TypeError - if both pipe and tank are specified + If both pipe and tank are specified ValueError - if there is no ParameterValues object defined for and linked to this parameter + If there is no ParameterValues object defined for and linked to + this parameter """ if pipe is not None and tank is not None: raise TypeError("Both pipe and tank cannot be specified at the same time") @@ -371,10 +380,11 @@ def __call__(self, *, pipe: str = None, tank: str = None) -> float: @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`.""" return VariableType.PARAMETER def to_dict(self) -> Dict[str, Any]: + """Dictionary representation of the object""" ret = dict(name=self.name, global_value=self.global_value) if self.units: ret["units"] = self.units @@ -386,21 +396,23 @@ def to_dict(self) -> Dict[str, Any]: class Term(VariableBase): - """A named expression that can be used as a term in other expressions.""" + """Named expression (term) that can be used in expressions""" - def __init__(self, name: str, expression: str, *, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None) -> None: - """A named expression that can be used as a term in other expressions. + def __init__(self, name: str, expression: str, *, + note: Union[str, dict, ENcomment] = None, + _vars: ReactionSystemBase = None) -> None: + """Named expression (term) that can be used in expressions Parameters ---------- name - The variable name. + Variable name. expression - The mathematical expression to be aliased + Mathematical expression to be aliased note Supplementary information regarding this variable, by default None _vars - the reaction system this species is a part of, by default None + Reaction system this species is a part of, by default None """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -408,15 +420,16 @@ def __init__(self, name: str, expression: str, *, note: Union[str, dict, ENcomme if _vars is not None and name in _vars: raise KeyExistsError("This variable name is already taken") self.expression: str = expression - """The expression that is aliased by this term""" + """Expression that is aliased by this term""" self._vars: ReactionSystemBase = _vars @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.TERM`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.TERM`.""" return VariableType.TERM def to_dict(self) -> Dict[str, Any]: + """Dictionary representation of the object""" ret = dict(name=self.name, expression=self.expression) if isinstance(self.note, ENcomment): ret["note"] = self.note.to_dict() @@ -426,70 +439,71 @@ def to_dict(self) -> Dict[str, Any]: class ReservedName(VariableBase): - """An object representing a reserved name that should not be used by the user.""" + """Reserved name that should not be used""" def __init__(self, name: str, *, note: Union[str, dict, ENcomment] = None) -> None: - """An object representing a reserved name that should not be used by the user. + """Reserved name that should not be used Parameters ---------- name - The reserved name. + Reserved name. note Supplementary information regarding this variable, by default None Raises ------ KeyExistsError - if the name has already been registered + If the name has already been registered """ self.name: str = name self.note: Union[str, dict, ENcomment] = note @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.RESERVED`.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.RESERVED`.""" return VariableType.RESERVED def to_dict(self) -> Dict[str, Any]: + """Dictionary representation of the object""" return "{}({})".format(self.__class__.__name__, ", ".join(["name={}".format(repr(self.name)), "note={}".format(repr(self.note))])) class HydraulicVariable(ReservedName): - """A variable representing instantaneous hydraulics data.""" + """Reserved name for hydraulic variables""" def __init__(self, name: str, units: str = None, *, note: Union[str, dict, ENcomment] = None) -> None: - """A variable representing instantaneous hydraulics data. + """Reserved name for hydraulic variables The user should not need to create any variables using this class, they - are created automatically by the MultispeciesModel object during initialization. + are created automatically by the MsxModel object during initialization. Parameters ---------- name - The name of the variable (predefined by MSX) + Name of the variable (predefined by MSX) units - The units for hydraulic variable, by default None + Units for hydraulic variable, by default None note Supplementary information regarding this variable, by default None """ super().__init__(name, note=note) self.units: str = units - """The hydraulic variable's units""" + """Hydraulic variable's units""" class MathFunction(ReservedName): - """A variable that is actually a mathematical function defined by MSX.""" + """Reserved name for math functions""" def __init__(self, name: str, func: callable, *, note: Union[str, dict, ENcomment] = None) -> None: - """A variable that is actually a mathematical function defined by MSX. + """Reserved name for math functions Parameters ---------- name - The function name + Function name func - The callable function + Callable function note Supplementary information regarding this variable, by default None """ @@ -503,7 +517,7 @@ def __call__(self, *args: Any, **kwds: Any) -> Any: class Reaction(ReactionBase): - """A water quality biochemical reaction dynamics definition for a specific species.""" + """Water quality reaction dynamics definition for a specific species""" def __init__( self, @@ -515,22 +529,24 @@ def __init__( note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None, ) -> None: - """A water quality biochemical reaction dynamics definition for a specific species. + """Water quality reaction dynamics definition for a specific species Parameters ---------- species_name - The species (object or name) this reaction is applicable to. + Species (object or name) this reaction is applicable to. reaction_type - The type of reaction, either PIPE or TANK + Reaction type (location), from {PIPE, TANK} expression_type - The type of reaction dynamics being described by the expression: one of RATE, FORMULA, or EQUIL. + Expression type (left-hand-side) of the equation, from + {RATE, EQUIL, FORMULA} expression - The mathematical expression for the right-hand-side of the reaction equation. + Mathematical expression for the right-hand-side of the reaction + equation. note Supplementary information regarding this variable, by default None _vars - the reaction system this species is a part of, by default None + Reaction system this species is a part of, by default None """ super().__init__(species_name=species_name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): @@ -546,20 +562,26 @@ def __init__( if not expression: raise TypeError("expression cannot be None") self.expression: str = expression - """The mathematical expression (right-hand-side)""" + """Mathematical expression (right-hand-side)""" self._vars: ReactionSystemBase = _vars @property def expression_type(self) -> ExpressionType: - """The expression type (left-hand-side), either :attr:`~wntr.msx.base.ExpressionType.RATE`, :attr:`~wntr.msx.base.ExpressionType.EQUIL`, or :attr:`~wntr.msx.base.ExpressionType.FORMULA`""" + """Expression type (left-hand-side), either + :attr:`~wntr.msx.base.ExpressionType.RATE`, + :attr:`~wntr.msx.base.ExpressionType.EQUIL`, or + :attr:`~wntr.msx.base.ExpressionType.FORMULA`""" return self._expr_type @property def reaction_type(self) -> ReactionType: - """The reaction type (reaction location), either :attr:`~wntr.msx.base.ReactionType.PIPE` or :attr:`~wntr.msx.base.ReactionType.TANK`""" + """Reaction type (location), either + :attr:`~wntr.msx.base.ReactionType.PIPE` or + :attr:`~wntr.msx.base.ReactionType.TANK`""" return self.__rxn_type def to_dict(self) -> dict: + """Dictionary representation of the object""" ret = dict(species_name=str(self.species_name), expression_type=self.expression_type.name.lower(), expression=self.expression) if isinstance(self.note, ENcomment): ret["note"] = self.note.to_dict() @@ -569,22 +591,24 @@ def to_dict(self) -> dict: class InitialQuality(VariableValuesBase): - """A container for initial quality values for a species in a specific network.""" + """Initial quality values for a species in a specific network""" def __init__(self, global_value: float = 0.0, node_values: dict = None, link_values: dict = None): - """The initial quality values for a species. + """Initial quality values for a species in a specific network Parameters ---------- global_value - the global initial quality value, by default 0.0 + Global initial quality value, by default 0.0 node_values - any different initial quality values for specific nodes, by default None + Any different initial quality values for specific nodes, + by default None link_values - any different initial quality values for specific links, by default None + Any different initial quality values for specific links, + by default None """ self.global_value = global_value - """The global initial quality values for this species.""" + """Global initial quality values for this species.""" self._node_values = node_values if node_values is not None else dict() self._link_values = link_values if link_values is not None else dict() @@ -595,35 +619,41 @@ def __repr__(self) -> str: @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`, this object holds data for.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.SPECIES`, + this object holds data for.""" return VariableType.SPECIES @property def node_values(self) -> Dict[str, float]: - """A mapping that overrides the global_value of the initial quality at specific nodes""" + """Mapping that overrides the global_value of the initial quality at + specific nodes""" return self._node_values @property def link_values(self) -> Dict[str, float]: - """A mapping that overrides the global_value of the initial quality in specific links""" + """Mapping that overrides the global_value of the initial quality in + specific links""" return self._link_values def to_dict(self) -> Dict[str, Dict[str, float]]: + """Dictionary representation of the object""" return dict(global_value=self.global_value, node_values=self._node_values.copy(), link_values=self._link_values.copy()) class ParameterValues(VariableValuesBase): - """A container for pipe and tank specific values of a parameter for a specific network.""" + """Pipe and tank specific values of a parameter for a specific network""" def __init__(self, *, pipe_values: dict = None, tank_values: dict = None) -> None: - """The non-global values for a parameter. + """Pipe and tank specific values of a parameter for a specific network Parameters ---------- pipe_values - any different values for this parameter for specific pipes, by default None + Any different values for this parameter for specific pipes, + by default None tank_values - any different values for this parameter for specific tanks, by default None + Any different values for this parameter for specific tanks, + by default None """ self._pipe_values = pipe_values if pipe_values is not None else dict() self._tank_values = tank_values if tank_values is not None else dict() @@ -633,18 +663,22 @@ def __repr__(self) -> str: @property def var_type(self) -> VariableType: - """The type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`, this object holds data for.""" + """Type of variable, :attr:`~wntr.msx.base.VariableType.PARAMETER`, + this object holds data for.""" return VariableType.PARAMETER @property def pipe_values(self) -> Dict[str, float]: - """A mapping that overrides the global_value of a parameter for a specific pipe""" + """Mapping that overrides the global_value of a parameter for a + specific pipe""" return self._pipe_values @property def tank_values(self) -> Dict[str, float]: - """A mapping that overrides the global_value of a parameter for a specific tank""" + """Mapping that overrides the global_value of a parameter for a + specific tank""" return self._tank_values def to_dict(self) -> Dict[str, Dict[str, float]]: + """Dictionary representation of the object""" return dict(pipe_values=self._pipe_values.copy(), tank_values=self._tank_values.copy()) diff --git a/wntr/msx/library.py b/wntr/msx/library.py index 76f00a173..62ce4d1ea 100644 --- a/wntr/msx/library.py +++ b/wntr/msx/library.py @@ -1,18 +1,19 @@ -# -*- coding: utf-8 -*- - -r"""A library of common MSX reactions. - +# coding: utf-8 +""" +The wntr.msx.library module includes a library of multi-species water +models .. rubric:: Environment Variable .. envvar:: WNTR_RXN_LIBRARY_PATH This environment variable, if set, will add additional folder(s) to the - path to search for quality model files, (files with an ".msx", ".yaml", - or ".json" file extension). + path to search for multi-species water quality model files, + (files with an ".msx", ".yaml", or ".json" file extension). Multiple folders should be separated using the "``;``" character. See :class:`~wntr.msx.library.ReactionLibrary` for more details. """ + from __future__ import annotations import json @@ -44,67 +45,49 @@ logger = logging.getLogger(__name__) -def cite_msx() -> dict: - """A citation generator for the EPANET-MSX user guide. - - Returns - ------- - str - Shang, F. and Rossman, L.A. and Uber, J.G. (2023) "EPANET-MSX 2.0 User Manual". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199. - """ - return 'Shang, F. and Rossman, L.A. and Uber, J.G. (2023) "EPANET-MSX 2.0 User Manual". (Cincinnati, OH: Water Infrastructure Division (CESER), U.S. Environmental Protection Agency). EPA/600/R-22/199.' - # return dict( - # entry_type="report", - # key="SRU23", - # fields=dict( - # title="EPANET-MSX 2.0 User Manual", - # year=2023, - # author="Shang, F. and Rossman, L.A. and Uber, J.G.", - # institution="Water Infrastructure Division (CESER), U.S. Environmental Protection Agency", - # location="Cincinnati, OH", - # number="EPA/600/R-22/199", - # ), - # ) - - class ReactionLibrary: - """A library of multispecies reaction definitions. + """Library of multi-species water quality models - This object can be accessed and treated like a dictionary, where keys are the model - names and the values are the model objects. + This object can be accessed and treated like a dictionary, where keys are + the model names and the values are the model objects. Paths are added/processed in the following order: 1. the builtin directory of reactions, - 2. any paths specified in the environment variable described below, with directories listed - first having the highest priority, - 3. any extra paths specified in the constructor, searched in the order provided. + 2. any paths specified in the environment variable described below, with + directories listed first having the highest priority, + 3. any extra paths specified in the constructor, searched in the order + provided. + + Once created, the library paths cannot be modified. However, a model can + be added to the library using :meth:`add_model_from_file` or + :meth:`add_models_from_dir`. - Once created, the library paths cannot be modified. However, a model can be added - to the library using :meth:`add_model_from_file` or :meth:`add_models_from_dir`. """ - def __init__(self, extra_paths: List[str] = None, include_builtins=True, include_envvar_paths=True, load=True) -> None: - """A library of multispecies reaction definitions. + def __init__(self, extra_paths: List[str] = None, include_builtins=True, + include_envvar_paths=True, load=True) -> None: + """Library of multi-species water quality models Parameters ---------- extra_paths : list of str, optional - user-specified list of reaction library directories, by default None + User-specified list of reaction library directories, by default + None include_builtins : bool, optional - load files built-in with wntr, by default True + Load files built-in with WNTR, by default True include_envvar_paths : bool, optional - load files from the paths specified in :envvar:`WNTR_RXN_LIBRARY_PATH`, by default True + Load files from the paths specified in + :envvar:`WNTR_RXN_LIBRARY_PATH`, by default True load : bool or str, optional - load the files immediately on creation, by default True. - + Load the files immediately on creation, by default True. If a string, then it will be passed as the `duplicates` argument to the load function. See :meth:`reset_and_reload` for details. Raises ------ TypeError - if `extra_paths` is not a list + If `extra_paths` is not a list """ if extra_paths is None: extra_paths = list() @@ -142,20 +125,20 @@ def __repr__(self) -> str: return "{}({})".format(self.__class__.__name__, repr(self.__library_paths)) def path_list(self) -> List[str]: - """Get the original list of paths used for this library. + """List of paths used to populate the library Returns ------- list of str - a copy of the paths used to **initially** populate this library + Copy of the paths used to **initially** populate the library """ return self.__library_paths.copy() def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, Any]]: - """Load data from the configured directories into a library of models. + """Load data from the configured directories into a library of models - Note, this function is not recursive and does not 'walk' any of the library's - directories to look for subfolders. + Note, this function is not recursive and does not 'walk' any of the + library's directories to look for subfolders. The ``duplicates`` argument specifies how models that have the same name, or that have the same filename if a name isn't specified in the file, @@ -187,13 +170,13 @@ def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, An Raises ------ TypeError - if `duplicates` is not a string + If `duplicates` is not a string ValueError - if `duplicates` is not a valid value + If `duplicates` is not a valid value IOError - if `path_to_folder` is not a directory + If `path_to_folder` is not a directory KeyError - if `duplicates` is ``"error"`` and two models have the same name + If `duplicates` is ``"error"`` and two models have the same name """ if duplicates and not isinstance(duplicates, str): raise TypeError("The `duplicates` argument must be None or a string") @@ -207,44 +190,43 @@ def reset_and_reload(self, duplicates: str = "error") -> List[Tuple[str, str, An return load_errors def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> List[Tuple[str, str, Union[MsxModel, Exception]]]: - """Load all valid model files in a folder. - - Note, this function is not recursive and does not 'walk' a directory tree. + """Load all valid model files in a folder - The ``duplicates`` argument specifies how models that have the same name, - or that have the same filename if a name isn't specified in the file, - are handled. **Warning**, if two files in the same directory have models - with the same name, there is no guarantee which will be read in first. + Note, this function is not recursive and does not 'walk' a directory + tree. Parameters ---------- path_to_dir : str - the path to the folder to search + Path to the folder to search duplicates : {"error", "skip", "replace"}, optional + Specifies how models that have the same name, or that have the same + filename if a name isn't specified in the file, are handled. + **Warning**, if two files in the same directory have models with + the same name, there is no guarantee which will be read in first, by default ``"error"`` - - - A value of of ``"error"`` raises an exception and stops execution. - - A value of ``"skip"`` will skip models with the same `name` as a model that already - exists in the library. - - A value of ``"replace"`` will replace any existing model with a model that is read - in that has the same `name`. + - A value of of ``"error"`` raises an exception and stops execution + - A value of ``"skip"`` will skip models with the same `name` as a + model that already exists in the library. + - A value of ``"replace"`` will replace any existing model with a + model that is read in that has the same `name`. Returns ------- (filename, reason, obj) : tuple[str, str, Any] - the file not read in, the cause of the problem, and the object that was skipped/overwritten - or the exception raised + File not read in, the cause of the problem, and the object that was + skipped/overwritten or the exception raised Raises ------ TypeError - if `duplicates` is not a string + If `duplicates` is not a string ValueError - if `duplicates` is not a valid value + If `duplicates` is not a valid value IOError - if `path_to_folder` is not a directory + If `path_to_folder` is not a directory KeyError - if `duplicates` is ``"error"`` and two models have the same name + If `duplicates` is ``"error"`` and two models have the same name """ if duplicates and not isinstance(duplicates, str): raise TypeError("The `duplicates` argument must be None or a string") @@ -309,7 +291,7 @@ def add_models_from_dir(self, path_to_dir: str, duplicates: str = "error") -> Li return load_errors def add_model_from_file(self, path_and_filename: str, name: str = None): - """Load a reaction model from a file and add it to the model. + """Load a model from a file and add it to the library Note, this **does not check** to see if a model exists with the same name, and it will automatically overwrite the existing model if one @@ -349,22 +331,22 @@ def add_model_from_file(self, path_and_filename: str, name: str = None): self.__data[new.name] = new def get_model(self, name: str) -> MsxModel: - """Get a reaction model from the library by model name. + """Get a model from the library by model name Parameters ---------- name : str - the name of the model + Name of the model Returns ------- MsxModel - the model object + Model object """ return self.__data[name] def model_name_list(self) -> List[str]: - """Get the names of all models in the library. + """Get the names of all models in the library Returns ------- diff --git a/wntr/msx/model.py b/wntr/msx/model.py index 4d9749c3d..49bf90058 100644 --- a/wntr/msx/model.py +++ b/wntr/msx/model.py @@ -1,13 +1,15 @@ -# -*- coding: utf-8 -*- - -"""The WNTR MSX model. +# coding: utf-8 +""" +The wntr.msx.model module includes methods to build a multi-species water +quality model. """ + from __future__ import annotations import logging import warnings -from typing import Any, Dict, Generator, List, NewType, Union -from wntr.epanet.util import ENcomment, NoteType +from typing import Dict, Generator, List, Union +from wntr.epanet.util import NoteType from wntr.utils.disjoint_mapping import KeyExistsError @@ -18,7 +20,6 @@ ReactionBase, NetworkDataBase, ReactionSystemBase, - VariableBase, ExpressionType, ReactionType, SpeciesType, @@ -34,7 +35,8 @@ class MsxReactionSystem(ReactionSystemBase): - """A registry for all the variables registered in the multispecies reactions model. + """Registry for all the variables registered in the multi-species reactions + model. This object can be used like a mapping. """ @@ -53,32 +55,32 @@ def __init__(self) -> None: @property def species(self) -> Dict[str, Species]: - """The dictionary view onto only species""" + """Dictionary view onto only species""" return self._species @property def constants(self) -> Dict[str, Constant]: - """The dictionary view onto only constants""" + """Dictionary view onto only constants""" return self._const @property def parameters(self) -> Dict[str, Parameter]: - """The dictionary view onto only parameters""" + """Dictionary view onto only parameters""" return self._param @property def terms(self) -> Dict[str, Term]: - """The dictionary view onto only named terms""" + """Dictionary view onto only named terms""" return self._term @property def pipe_reactions(self) -> Dict[str, Reaction]: - """The dictionary view onto pipe reactions""" + """Dictionary view onto pipe reactions""" return self._pipes @property def tank_reactions(self) -> Dict[str, Reaction]: - """The dictionary view onto tank reactions""" + """Dictionary view onto tank reactions""" return self._tanks def add_variable(self, variable: MsxVariable) -> None: @@ -90,14 +92,14 @@ def add_variable(self, variable: MsxVariable) -> None: Parameters ---------- variable - The variable to add. + Variable to add. Raises ------ TypeError - if `variable` is not an MsxVariable + If `variable` is not an MsxVariable KeyExistsError - if `variable` has a name that is already used in the registry + If `variable` has a name that is already used in the registry """ if not isinstance(variable, (Species, Constant, Parameter, Term, MathFunction, HydraulicVariable)): raise TypeError("Expected AVariable object") @@ -112,14 +114,14 @@ def add_reaction(self, reaction: Reaction) -> None: Parameters ---------- reaction : Reaction - a water quality reaction definition + Water quality reaction definition Raises ------ TypeError - if `reaction` is not a Reaction + If `reaction` is not a Reaction KeyError - if the `species_name` in the `reaction` does not exist in the model + If the `species_name` in the `reaction` does not exist in the model """ if not isinstance(reaction, Reaction): raise TypeError("Expected a Reaction object") @@ -129,17 +131,18 @@ def add_reaction(self, reaction: Reaction) -> None: def variables(self) -> Generator[tuple, None, None]: # FIXME: rename without "all_" for this - """A generator looping through all variables""" + """Generator looping through all variables""" for k, v in self._vars.items(): yield k, v.var_type.name.lower(), v def reactions(self) -> Generator[tuple, None, None]: - """A generator looping through all reactions""" + """Generator looping through all reactions""" for k2, v in self._rxns.items(): for k1, v1 in v.items(): yield k1, k2, v1 def to_dict(self) -> dict: + """Dictionary representation of the MsxModel.""" return dict( species=[v.to_dict() for v in self._species.values()], constants=[v.to_dict() for v in self._const.values()], @@ -151,38 +154,46 @@ def to_dict(self) -> dict: class MsxNetworkData(NetworkDataBase): - """A container for network-specific values associated with a multispecies water quality model.""" - def __init__(self, patterns: Dict[str, List[float]] = None, sources: Dict[str, Dict[str, dict]] = None, initial_quality: Dict[str, Union[dict,InitialQuality]] = None, parameter_values: Dict[str, Union[dict, ParameterValues]] = None) -> None: - """A container for network-specific values associated with a multispecies water quality model. + def __init__(self, patterns: Dict[str, List[float]] = None, + sources: Dict[str, Dict[str, dict]] = None, + initial_quality: Dict[str, Union[dict, InitialQuality]] = None, + parameter_values: Dict[str, Union[dict, ParameterValues]] = None) -> None: + """Network-specific values associated with a multi-species water + quality model - Data is copied from dictionaries passed in, so once created, the dictionaries passed are not connected - to this object. + Data is copied from dictionaries passed in, so once created, the + dictionaries passed are not connected to this object. Parameters ---------- patterns : dict, optional - patterns to use for sources + Patterns to use for sources sources : dict, optional - sources defined for the model + Sources defined for the model initial_quality : dict, optional - initial values for different species at different nodes, links, and the global value + Initial values for different species at different nodes, links, and + the global value parameter_values : dict, optional - parameter values for different pipes and tanks + Parameter values for different pipes and tanks Notes ----- ``patterns`` - A dictionary keyed by pattern name (str) with values being the multipliers (list of float) + Dictionary keyed by pattern name (str) with values being the + multipliers (list of float) ``sources`` - A dictionary keyed by species name (str) with values being dictionaries keyed by junction name (str) with values being the + Dictionary keyed by species name (str) with values being + dictionaries keyed by junction name (str) with values being the dictionary of settings for the source ``initial_quality`` - A dictionary keyed by species name (str) with values being either an :class:`~wntr.msx.elements.InitialQuality` object or - the appropriate dictionary representation thereof. + Dictionary keyed by species name (str) with values being either an + :class:`~wntr.msx.elements.InitialQuality` object or the + appropriate dictionary representation thereof. ``parameter_values`` - A dictionary keyed by parameter name (str) with values being either a :class:`~wntr.msx.elements.ParameterValues` object or - the appropriate dictionary representation thereof. + Dictionary keyed by parameter name (str) with values being either + a :class:`~wntr.msx.elements.ParameterValues` object or the + appropriate dictionary representation thereof. """ if sources is None: sources = dict() @@ -206,53 +217,55 @@ def __init__(self, patterns: Dict[str, List[float]] = None, sources: Dict[str, D @property def sources(self): - """A dictionary of sources, keyed by species name""" + """Dictionary of sources, keyed by species name""" return self._source_dict @property def initial_quality(self) -> Dict[str, InitialQuality]: - """A dictionary of initial quality values, keyed by species name""" + """Dictionary of initial quality values, keyed by species name""" return self._initial_quality_dict @property def patterns(self): - """A dictionary of patterns, specific for the water quality model, keyed by pattern name. + """Dictionary of patterns, specific for the water quality model, keyed + by pattern name. - .. note:: the WaterNetworkModel cannot see these patterns, so names can be reused, so be - careful. Likewise, this model cannot see the WaterNetworkModel patterns, so this could be - a source of some confusion. + .. note:: the WaterNetworkModel cannot see these patterns, so names can + be reused, so be careful. Likewise, this model cannot see the + WaterNetworkModel patterns, so this could be a source of some + confusion. """ return self._pattern_dict @property def parameter_values(self) -> Dict[str, ParameterValues]: - """A dictionary of parameter values, keyed by parameter name""" + """Dictionary of parameter values, keyed by parameter name""" return self._parameter_value_dict def add_pattern(self, name: str, multipliers: List[float]): - """Add a water-quality-model-specific pattern. + """Add a water quality model specific pattern. Arguments --------- name : str - The pattern name + Pattern name multipliers : list of float - The pattern multipliers + Pattern multipliers """ self._pattern_dict[name] = multipliers def init_new_species(self, species: Species): - """(Re)set the initial quality values for a species to a new container + """(Re)set the initial quality values for a species Arguments --------- species : Species - The species to (re)initialized. + Species to (re)initialized. Returns ------- InitialQuality - the new initial quality values container + New initial quality values """ self._initial_quality_dict[str(species)] = InitialQuality() if isinstance(species, Species): @@ -260,12 +273,12 @@ def init_new_species(self, species: Species): return self._initial_quality_dict[str(species)] def remove_species(self, species: Union[Species, str]): - """Remove a species from the network specific model. + """Remove a species from the network specific model Arguments --------- species : Species or str - a species to be removed from the network data + Species to be removed from the network data """ if isinstance(species, Species): species._vals = None @@ -275,17 +288,17 @@ def remove_species(self, species: Union[Species, str]): pass def init_new_parameter(self, param: Parameter): - """(Re)initialize parameter values for a parameter. + """(Re)initialize parameter values for a parameter Arguments --------- param : Parameter - a parameter to be (re)initialized with network data + Parameter to be (re)initialized with network data Returns ------- ParameterValues - the new network data for the specific parameter + New network data for the specific parameter """ self._parameter_value_dict[str(param)] = ParameterValues() if isinstance(param, Parameter): @@ -293,14 +306,14 @@ def init_new_parameter(self, param: Parameter): return self._parameter_value_dict[str(param)] def remove_parameter(self, param: Union[Parameter, str]): - """Remove values associated with a specific parameter. + """Remove values associated with a specific parameter Ignores non-parameters. Arguments --------- param : Parameter or str - the parameter or parameter name to be removed from the network data + Parameter or parameter name to be removed from the network data """ if isinstance(param, Parameter): param._vals = None @@ -321,15 +334,15 @@ def to_dict(self) -> dict: class MsxModel(QualityModelBase): - """A multispecies water quality model for use with WNTR EPANET-MSX simulator.""" + """Multi-species water quality model""" def __init__(self, msx_file_name=None) -> None: - """A full, multi-species water quality model. + """Multi-species water quality model Arguments --------- msx_file_name : str, optional - an MSX file to read in, by default None + MSX file to to load into the MsxModel object, by default None """ super().__init__(msx_file_name) self._references: List[Union[str, Dict[str, str]]] = list() @@ -363,47 +376,48 @@ def __repr__(self) -> str: @property def references(self) -> List[Union[str, Dict[str, str]]]: - """A list of strings or mappings that provide references for this model. + """List of strings or mappings that provide references for this model .. note:: - This property is a list, and should be modified using append/insert/remove. - Members of the list should be json seriealizable (i.e., strings or dicts of strings). + This property is a list, and should be modified using + append/insert/remove. Members of the list should be json + serializable (i.e., strings or dicts of strings). """ return self._references @property def reaction_system(self) -> MsxReactionSystem: - """The reaction variables defined for this model.""" + """Reaction variables defined for this model""" return self._rxn_system @property def network_data(self) -> MsxNetworkData: - """The network-specific values added to this model.""" + """Network-specific values added to this model""" return self._net_data @property def options(self) -> MsxSolverOptions: - """The MSX model options""" + """MSX model options""" return self._options @property def species_name_list(self) -> List[str]: - """all defined species names""" + """Get a list of species names""" return list(self.reaction_system.species.keys()) @property def constant_name_list(self) -> List[str]: - """all defined coefficient names""" + """Get a list of coefficient names""" return list(self.reaction_system.constants.keys()) @property def parameter_name_list(self) -> List[str]: - """all defined coefficient names""" + """Get a list of coefficient names""" return list(self.reaction_system.parameters.keys()) @property def term_name_list(self) -> List[str]: - """all defined function (MSX 'terms') names""" + """Get a list of function (MSX 'terms') names""" return list(self.reaction_system.terms.keys()) @options.setter @@ -411,7 +425,7 @@ def options(self, value: Union[dict, MsxSolverOptions]): if isinstance(value, dict): self._options = MsxSolverOptions.factory(value) elif not isinstance(value, MsxSolverOptions): - raise TypeError("Expected a MultispeciesOptions object, got {}".format(type(value))) + raise TypeError("Expected a MsxSolverOptions object, got {}".format(type(value))) else: self._options = value @@ -430,32 +444,32 @@ def add_species( Arguments --------- name : str - the species name + Species name species_type : SpeciesType - the type of species, either BULK or WALL + Type of species, either BULK or WALL units : str - the mass units for this species + Mass units for this species atol : float, optional unless rtol is not None - the absolute solver tolerance for this species, by default None + Absolute solver tolerance for this species, by default None rtol : float, optional unless atol is not None - the relative solver tolerance for this species, by default None + Relative solver tolerance for this species, by default None note : NoteType, optional keyword - supplementary information regarding this variable, by default None + Supplementary information regarding this variable, by default None (see also :class:`~wntr.epanet.util.ENcomment`) diffusivity : float, optional - diffusivity of this species in water + Diffusivity of this species in water Raises ------ KeyExistsError - if a variable with this name already exists + If a variable with this name already exists ValueError - if `atol` or `rtol` ≤ 0 + If `atol` or `rtol` ≤ 0 Returns ------- Species - the new species + New species """ if name in self._rxn_system: raise KeyExistsError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) @@ -476,19 +490,19 @@ def add_species( return new def remove_species(self, variable_or_name): - """Remove a species from the model. + """Remove a species from the model Removes from both the reaction_system and the network_data. Parameters ---------- variable_or_name : Species or str - the species (or name of the species) to be removed + Species (or name of the species) to be removed Raises ------ KeyError - if `variable_or_name` is not a species in the model + If `variable_or_name` is not a species in the model """ name = str(variable_or_name) if name not in self.reaction_system.species: @@ -498,28 +512,28 @@ def remove_species(self, variable_or_name): self.reaction_system.__delitem__(name) def add_constant(self, name: str, value: float, units: str = None, note: NoteType = None) -> Constant: - """Add a constant coefficient to the model. + """Add a constant coefficient to the model Arguments --------- name : str - the name of the coefficient + Name of the coefficient value : float - the constant value of the coefficient + Constant value of the coefficient units : str, optional - the units for this coefficient, by default None + Units for this coefficient, by default None note : NoteType, optional - supplementary information regarding this variable, by default None + Supplementary information regarding this variable, by default None Raises ------ KeyExistsError - a variable with this name already exists + Variable with this name already exists Returns ------- Constant - the new constant coefficient + New constant coefficient """ if name in self._rxn_system: raise KeyExistsError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) @@ -528,17 +542,17 @@ def add_constant(self, name: str, value: float, units: str = None, note: NoteTyp return new def remove_constant(self, variable_or_name): - """Remove a constant coefficient from the model. + """Remove a constant coefficient from the model Parameters ---------- variable_or_name : Constant or str - the constant (or name of the constant) to be removed + Constant (or name of the constant) to be removed Raises ------ KeyError - if `variable_or_name` is not a constant coefficient in the model + If `variable_or_name` is not a constant coefficient in the model """ name = str(variable_or_name) if name not in self.reaction_system.constants: @@ -547,16 +561,17 @@ def remove_constant(self, variable_or_name): self.reaction_system.__delitem__(name) def add_parameter(self, name: str, global_value: float, units: str = None, note: NoteType = None) -> Parameter: - """Add a parameterized coefficient to the model. + """Add a parameterized coefficient to the model Arguments --------- name : str - the name of the parameter + Name of the parameter global_value : float - the global value of the coefficient (can be overridden for specific pipes/tanks) + Global value of the coefficient (can be overridden for specific + pipes/tanks) units : str, optional - the units for the coefficient, by default None + Units for the coefficient, by default None note : NoteType, optional keyword Supplementary information regarding this variable, by default None (see also :class:`~wntr.epanet.util.ENcomment`). @@ -564,12 +579,12 @@ def add_parameter(self, name: str, global_value: float, units: str = None, note: Raises ------ KeyExistsError - if a variable with this name already exists + If a variable with this name already exists Returns ------- Parameter - the new parameterized coefficient + New parameterized coefficient """ if name in self._rxn_system: raise KeyExistsError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) @@ -579,17 +594,17 @@ def add_parameter(self, name: str, global_value: float, units: str = None, note: return new def remove_parameter(self, variable_or_name): - """Remove a parameterized coefficient from the model. + """Remove a parameterized coefficient from the model Parameters ---------- variable_or_name : Parameter or str - the parameter (or name of the parameter) to be removed + Parameter (or name of the parameter) to be removed Raises ------ KeyError - if `variable_or_name` is not a parameter in the model + If `variable_or_name` is not a parameter in the model """ name = str(variable_or_name) if name not in self.reaction_system.parameters: @@ -599,14 +614,14 @@ def remove_parameter(self, variable_or_name): self.reaction_system.__delitem__(name) def add_term(self, name: str, expression: str, note: NoteType = None) -> Term: - """Add a named expression (term) to the model. + """Add a named expression (term) to the model Parameters ---------- name : str - the name of the functional term to be added + Name of the functional term to be added expression : str - the expression that the term defines + Expression that the term defines note : NoteType, optional keyword Supplementary information regarding this variable, by default None (see also :class:`~wntr.epanet.util.ENcomment`) @@ -619,7 +634,7 @@ def add_term(self, name: str, expression: str, note: NoteType = None) -> Term: Returns ------- Term - the new term + New term """ if name in self._rxn_system: raise KeyError("Variable named {} already exists in model as type {}".format(name, self._rxn_system._vars.get_groupname(name))) @@ -628,17 +643,17 @@ def add_term(self, name: str, expression: str, note: NoteType = None) -> Term: return new def remove_term(self, variable_or_name): - """Remove a named expression (term) from the model. + """Remove a named expression (term) from the model Parameters ---------- variable_or_name : Term or str - the term (or name of the term) to be deleted + Term (or name of the term) to be deleted Raises ------ KeyError - if `variable_or_name` is not a term in the model + If `variable_or_name` is not a term in the model """ name = str(variable_or_name) # FIXME: validate deletion @@ -647,25 +662,26 @@ def remove_term(self, variable_or_name): self.reaction_system.__delitem__(name) def add_reaction(self, species_name: Union[Species, str], reaction_type: ReactionType, expression_type: ExpressionType, expression: str, note: NoteType = None) -> ReactionBase: - """Add a reaction to a species in the model. + """Add a reaction to a species in the model - Note that all species need to have both a pipe and tank reaction defined - unless all species are bulk species and - the tank reactions are identical to the pipe reactions. However, it is not - recommended that users take this approach. + Note that all species need to have both a pipe and tank reaction + defined unless all species are bulk species and the tank reactions are + identical to the pipe reactions. However, it is not recommended that + users take this approach. Once added, access the reactions from the species' object. Arguments --------- species_name : Species or str - the species (or name of species) the reaction is being defined for + Species (or name of species) the reaction is being defined for reaction_type: ReactionType - where this reaction takes place, from {PIPE, TANK} + Reaction type (location), from {PIPE, TANK} expression_type : ExpressionType - the type (LHS) of the equation the expression belongs to, from {RATE, EQUIL, FORMULA} + Expression type (left-hand-side) of the equation, from {RATE, + EQUIL, FORMULA} expression : str - the expression defining the reaction + Expression defining the reaction note : NoteType, optional keyword Supplementary information regarding this reaction, by default None (see also :class:`~wntr.epanet.util.ENcomment`) @@ -673,12 +689,12 @@ def add_reaction(self, species_name: Union[Species, str], reaction_type: Reactio Raises ------ TypeError - if a variable that is not species is passed + If a variable that is not species is passed Returns ------- - MultispeciesReaction - the new reaction object + MsxReactionSystem + New reaction object """ species_name = str(species_name) species = self.reaction_system.species[species_name] @@ -697,20 +713,21 @@ def add_reaction(self, species_name: Union[Species, str], reaction_type: Reactio return new def remove_reaction(self, species_name: str, reaction_type: ReactionType) -> None: - """Remove a reaction at a specified location from a species. + """Remove a reaction at a specified location from a species Parameters ---------- species : Species or str - the species (or name of the species) of the reaction to remove + Species (or name of the species) of the reaction to remove reaction_type : ReactionType - the reaction type (location) of the reaction to remove + Reaction type (location) of the reaction to remove """ reaction_type = ReactionType.get(reaction_type, allow_none=False) species_name = str(species_name) del self.reaction_system.reactions[reaction_type.name.lower()][species_name] def to_dict(self) -> dict: + """Dictionary representation of the MsxModel""" from wntr import __version__ return { @@ -726,12 +743,12 @@ def to_dict(self) -> dict: @classmethod def from_dict(cls, data) -> "MsxModel": - """Create a new multispecies reaction model from a dictionary. + """Create a new multi-species water quality model from a dictionary Parameters ---------- data : dict - The model data + Model data """ from wntr import __version__ diff --git a/wntr/msx/options.py b/wntr/msx/options.py index e99645352..70bed47f2 100644 --- a/wntr/msx/options.py +++ b/wntr/msx/options.py @@ -1,5 +1,7 @@ # coding: utf-8 -"""Options for multispecies reaction models. +""" +The wntr.msx.options module includes options for multi-species water quality +models """ import logging @@ -12,7 +14,7 @@ class MsxReportOptions(_OptionsBase): """ - Options related to EPANET-MSX report outputs. + Report options """ def __init__( @@ -25,44 +27,39 @@ def __init__( links: Union[Literal["ALL"], List[str]] = None, ): """ - Options related to EPANET-MSX report outputs. + Report options Parameters ---------- report_filename : str - Provides the filename to use for outputting an EPANET report file, - by default this will be the prefix plus ".rpt". - + Filename for the EPANET-MSX report file, by default this will be + the prefix plus ".rpt". species : dict[str, bool] Output species concentrations - species_precision : dict[str, float] Output species concentrations with the specified precision - nodes : None, "ALL", or list - Output node information in report file. If a list of node names is provided, - EPANET only provides report information for those nodes. - + Output node information. If a list of node names is provided, + EPANET-MSX only provides report information for those nodes. links : None, "ALL", or list - Output link information in report file. If a list of link names is provided, - EPANET only provides report information for those links. - + Output link information. If a list of link names is provided, + EPANET-MSX only provides report information for those links. pagesize : str - Page size for EPANET report output + Page size for EPANET-MSX report output """ self.pagesize = pagesize - """The pagesize for the report""" + """Pagesize for the report""" self.report_filename = report_filename - """The prefix of the report filename (will add .rpt)""" + """Prefix of the report filename (will add .rpt)""" self.species = species if species is not None else dict() """Turn individual species outputs on and off, by default no species are output""" self.species_precision = species_precision if species_precision is not None else dict() - """Set the output precision for the concentration of a specific species""" + """Output precision for the concentration of a specific species""" self.nodes = nodes - """A list of nodes to print output for, or 'ALL' for all nodes, by default None""" + """List of nodes to print output for, or 'ALL' for all nodes, by default None""" self.links = links - """A list of links to print output for, or 'ALL' for all links, by default None""" + """List of links to print output for, or 'ALL' for all links, by default None""" def __setattr__(self, name, value): if name not in ["pagesize", "report_filename", "species", "nodes", "links", "species_precision"]: @@ -71,9 +68,7 @@ def __setattr__(self, name, value): class MsxSolverOptions(_OptionsBase): - """ - Multispecies quality model options. - """ + """Solver options""" def __init__( self, @@ -91,56 +86,73 @@ def __init__( report: MsxReportOptions = None, ): """ - Multispecies quality model options. + Solver options Parameters ---------- timestep : int >= 1 Water quality timestep (seconds), by default 60 (one minute). area_units : str, optional - The units of area to use in surface concentration forms, by default ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. + Units of area to use in surface concentration forms, by default + ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. rate_units : str, optional - The time units to use in all rate reactions, by default ``MIN``. Valid values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. + Time units to use in all rate reactions, by default ``MIN``. Valid + values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. solver : str, optional - The solver to use, by default ``RK5``. Options are ``RK5`` (5th order Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or ``EUL`` (Euler method). + Solver to use, by default ``RK5``. Options are ``RK5`` (5th order + Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or + ``EUL`` (Euler method). coupling : str, optional - Use coupling method for solution, by default ``NONE``. Valid options are ``FULL`` or ``NONE``. + Use coupling method for solution, by default ``NONE``. Valid + options are ``FULL`` or ``NONE``. atol : float, optional - Absolute concentration tolerance, by default 0.01 (regardless of species concentration units). + Absolute concentration tolerance, by default 0.01 (regardless of + species concentration units). rtol : float, optional Relative concentration tolerance, by default 0.001 (±0.1%). compiler : str, optional - Whether to use a compiler, by default ``NONE``. Valid options are ``VC``, ``GC``, or ``NONE`` + Whether to use a compiler, by default ``NONE``. Valid options are + ``VC``, ``GC``, or ``NONE`` segments : int, optional - Maximum number of segments per pipe (MSX 2.0 or newer only), by default 5000. + Maximum number of segments per pipe (MSX 2.0 or newer only), by + default 5000. peclet : int, optional - Peclet threshold for applying dispersion (MSX 2.0 or newer only), by default 1000. - report : ReportOptions or dict + Peclet threshold for applying dispersion (MSX 2.0 or newer only), + by default 1000. + report : MsxReportOptions or dict Options on how to report out results. """ self.timestep: int = timestep - """The timestep, in seconds, by default 360""" + """Timestep, in seconds, by default 360""" self.area_units: str = area_units - """The units used to express pipe wall surface area where, by default FT2. Valid values are FT2, M2, and CM2.""" + """Units used to express pipe wall surface area where, by default FT2. + Valid values are FT2, M2, and CM2.""" self.rate_units: str = rate_units - """The units in which all reaction rate terms are expressed, by default HR. Valid values are HR, MIN, SEC, and DAY.""" + """Units in which all reaction rate terms are expressed, by default HR. + Valid values are HR, MIN, SEC, and DAY.""" self.solver: str = solver - """The solver to use, by default EUL. Valid values are EUL, RK5, and ROS2.""" + """Solver to use, by default EUL. Valid values are EUL, RK5, and + ROS2.""" self.coupling: str = coupling - """Whether coupling should occur during solving, by default NONE. Valid values are NONE and FULL.""" + """Whether coupling should occur during solving, by default NONE. Valid + values are NONE and FULL.""" self.rtol: float = rtol - """The relative tolerance used during solvers ROS2 and RK5, by default 0.001 for all species. Can be overridden on a per-species basis.""" + """Relative tolerance used during solvers ROS2 and RK5, by default + 0.001 for all species. Can be overridden on a per-species basis.""" self.atol: float = atol - """The absolute tolerance used by the solvers, by default 0.01 for all species regardless of concentration units. Can be overridden on a per-species basis.""" + """Absolute tolerance used by the solvers, by default 0.01 for all + species regardless of concentration units. Can be overridden on a + per-species basis.""" self.compiler: str = compiler - """A compier to use if the equations should be compiled by EPANET-MSX, by default NONE. Valid options are VC, GC and NONE.""" + """Compiler to use if the equations should be compiled by EPANET-MSX, + by default NONE. Valid options are VC, GC and NONE.""" self.segments: int = segments - """The number of segments per-pipe to use, by default 5000.""" + """Number of segments per-pipe to use, by default 5000.""" self.peclet: int = peclet - """The threshold for applying dispersion, by default 1000.""" + """Threshold for applying dispersion, by default 1000.""" self.report: MsxReportOptions = MsxReportOptions.factory(report) - """The reporting output options.""" + """Reporting output options.""" def __setattr__(self, name, value): if name == "report": @@ -163,7 +175,7 @@ def __setattr__(self, name, value): except ValueError: raise ValueError("%s must be a number", name) elif name not in ["area_units", "rate_units", "solver", "coupling", "compiler"]: - raise ValueError("%s is not a valid member of MultispeciesOptions") + raise ValueError("%s is not a valid member of MsxSolverOptions") self.__dict__[name] = value def to_dict(self): diff --git a/wntr/network/base.py b/wntr/network/base.py index 20ddc94eb..7dcf3ae8b 100644 --- a/wntr/network/base.py +++ b/wntr/network/base.py @@ -245,7 +245,8 @@ def tag(self, tag): @property def initial_quality(self): - """float or dict: The initial quality (concentration) at the node, or a dict of species-->quality for multispecies quality""" + """float or dict: Initial quality (concentration) at the node, or + a dict of species-->quality for multi-species quality""" if not self._initial_quality: return 0.0 return self._initial_quality @@ -257,7 +258,7 @@ def initial_quality(self, value): @property def coordinates(self): - """tuple: The node coordinates, (x,y)""" + """tuple: Node coordinates, (x,y)""" return self._coordinates @coordinates.setter def coordinates(self, coordinates): diff --git a/wntr/tests/test_msx_elements.py b/wntr/tests/test_msx_elements.py index 39cc09188..e65f796f3 100644 --- a/wntr/tests/test_msx_elements.py +++ b/wntr/tests/test_msx_elements.py @@ -157,7 +157,7 @@ def test_Reaction(self): self.assertEqual(formula1.expression, "-Ka + Kb * Cl + T0") self.assertEqual(formula1.expression_type, wntr.msx.ExpressionType.FORMULA) - def test_WaterQualityReactionsModel_creation_specific_everything(self): + def test_MsxModel_creation_specific_everything(self): rxn_model1 = wntr.msx.MsxModel() bulk1 = wntr.msx.Species("Cl", 'b', "mg") wall1 = wntr.msx.Species("ClOH", 'w', "mg", 0.01, 0.0001, note="Testing stuff") diff --git a/wntr/utils/disjoint_mapping.py b/wntr/utils/disjoint_mapping.py index 27dc32c34..fd2572bf8 100644 --- a/wntr/utils/disjoint_mapping.py +++ b/wntr/utils/disjoint_mapping.py @@ -1,7 +1,8 @@ # coding: utf-8 -"""A set of utility classes that is similar to the 'registry' objects in the wntr.network -class, but more general, and therefore usable for other extensions, such as multispecies -reaction modeling. +""" +A set of utility classes that is similar to the 'registry' objects in the wntr.network +class, but more general, and therefore usable for other extensions, such as multi-species +water quality models. """ from collections.abc import MutableMapping @@ -10,13 +11,11 @@ class WrongGroupError(KeyError): """The key exists but is in a different disjoint group""" - pass class KeyExistsError(KeyError): - """The name already exists in the reaction model""" - + """The name already exists in the model""" pass From d347ad644511740b950a59a3f2d505f7dc4c2469 Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 13 Nov 2023 08:15:11 -0700 Subject: [PATCH 047/118] Docs update --- wntr/epanet/exceptions.py | 2 +- wntr/epanet/msx/exceptions.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index fdf405dd5..1a4200128 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -85,7 +85,7 @@ 309: "cannot save results to report file %s", } """A dictionary of the error codes and their meanings from the EPANET toolkit. -Please see :doc:`/errors` for a tables of these values. +Please see :doc:`/errors` for tables of these values. :meta hide-value: """ diff --git a/wntr/epanet/msx/exceptions.py b/wntr/epanet/msx/exceptions.py index a1dcc6ee4..d505d33ef 100644 --- a/wntr/epanet/msx/exceptions.py +++ b/wntr/epanet/msx/exceptions.py @@ -46,8 +46,8 @@ 523: "could not load functions from compiled chemistry file", 524: "illegal math operation", } -"""Dictionary of MSX error codes and meanings. -See :class:`MsxErrorEnum` for the list of error codes and their meanings. +"""A dictionary of the error codes and their meanings from the EPANET-MSX toolkit. +Please see :doc:`/errors` for tables of these values. :meta hide-value: """ From e07e292fc900b9a1da0813113d327350e57807fa Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 17 Nov 2023 09:59:06 -0700 Subject: [PATCH 048/118] Fix changed name --- wntr/network/model.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/wntr/network/model.py b/wntr/network/model.py index f6c6cb2ae..81c85ce22 100644 --- a/wntr/network/model.py +++ b/wntr/network/model.py @@ -336,9 +336,9 @@ def msx(self): def msx(self, msx): if msx is None: self._msx = None - from wntr.msx.base import AbstractQualityModel - if not isinstance(msx, AbstractQualityModel): - raise TypeError('Expected AbstractQualityModel (or derived), got {}'.format(type(msx))) + from wntr.msx.base import QualityModelBase + if not isinstance(msx, QualityModelBase): + raise TypeError('Expected QualityModelBase (or derived), got {}'.format(type(msx))) def add_msx_model(self, msx_filename=None): """Add an msx model from a MSX input file (.msx extension)""" From 361f1675b5109b64bad4ca62911bc75de4dc98a4 Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 23 Oct 2023 11:34:06 -0600 Subject: [PATCH 049/118] Update to correct the exceptions listings --- wntr/epanet/exceptions.py | 128 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 128 insertions(+) diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index 1a4200128..6ed8555a6 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -85,7 +85,130 @@ 309: "cannot save results to report file %s", } """A dictionary of the error codes and their meanings from the EPANET toolkit. +<<<<<<< HEAD Please see :doc:`/errors` for tables of these values. +======= + +.. rubric:: Runtime warnings +==== ============================================================================================================================================================================== +Err# Description +---- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +1 At `time`, system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials +2 At `time`, system may be hydraulically unstable - hydraulic convergence was only achieved after the status of all links was held fixed +3 At `time`, system disconnected - one or more nodes with positive demands were disconnected for all supply sources +4 At `time`, pumps cannot deliver enough flow or head - one or more pumps were forced to either shut down (due to insufficient head) or operate beyond the maximum rated flow +5 At `time`, valves cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open +6 At `time`, system has negative pressures - negative pressures occurred at one or more junctions with positive demand +==== ============================================================================================================================================================================== + +.. rubric:: Runtime errors + +==== ================================================================= +Err# Description +---- ----------------------------------------------------------------- +101 insufficient memory available +102 no network data available +103 hydraulics not initialized +104 no hydraulics for water quality analysis +105 water quality not initialized +106 no results saved to report on +107 hydraulics supplied from external file +108 cannot use external file while hydraulics solver is active +109 cannot change time parameter when solver is active +110 cannot solve network hydraulic equations +120 cannot solve water quality transport equations +==== ================================================================= + +.. rubric:: Input file errors, exclusively + +==== ================================================================= +Err# Description +---- ----------------------------------------------------------------- +200 one or more errors in input file +201 syntax error +==== ================================================================= + +.. rubric:: Input file and/or toolkit errors + +==== ================================================================= +Err# Description +---- ----------------------------------------------------------------- +202 illegal numeric value +203 undefined node +204 undefined link +205 undefined time pattern +206 undefined curve +207 attempt to control a CV/GPV link +208 illegal PDA pressure limits +209 illegal node property value +211 illegal link property value +212 undefined trace node +213 invalid option value +214 too many characters in input line +215 duplicate ID label +216 reference to undefined pump +217 pump has no head curve or power defined +218 `note: error number 218 is undefined in the EPANET 2.2 toolkit` +219 illegal valve connection to tank node +220 illegal valve connection to another valve +221 misplaced rule clause in rule-based control +222 link assigned same start and end nodes +==== ================================================================= + +.. rubric:: Network consistency errors (INP-file and/or toolkit) + +==== ================================================================= +Err# Description +---- ----------------------------------------------------------------- +223 not enough nodes in network +224 no tanks or reservoirs in network +225 invalid lower/upper levels for tank +226 no head curve or power rating for pump +227 invalid head curve for pump +230 nonincreasing x-values for curve +233 network has unconnected node +234 network has an unconnected node with ID `id` +==== ================================================================= + +.. rubric:: Toolkit-only errors + +==== ================================================================= +Err# Description +---- ----------------------------------------------------------------- +240 nonexistent water quality source +241 nonexistent control +250 invalid format (e.g. too long an ID name) +251 invalid parameter code +252 invalid ID name +253 nonexistent demand category +254 node with no coordinates +255 invalid link vertex +257 nonexistent rule +258 nonexistent rule clause +259 attempt to delete a node that still has links connected to it +260 attempt to delete node assigned as a Trace Node +261 attempt to delete a node or link contained in a control +262 attempt to modify network structure while a solver is open +263 node is not a tank +==== ================================================================= + +.. rubric:: File I/O errors + +==== ========================================================= +Err# Description +---- --------------------------------------------------------- +301 identical file names used for different types of files +302 cannot open input file +303 cannot open report file +304 cannot open binary output file +305 cannot open hydraulics file +306 hydraulics file does not match network data +307 cannot read hydraulics file +308 cannot save results to binary file +309 cannot save results to report file +==== ========================================================= + +>>>>>>> f2235867 (Update to correct the exceptions listings) :meta hide-value: """ @@ -108,6 +231,11 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> line : str, optional The contents of the line, by default None """ +<<<<<<< HEAD +======= + if not isinstance(code, int): + return super().__init__('unknown error code: {}'.format(repr(code)), *args) +>>>>>>> f2235867 (Update to correct the exceptions listings) msg = EN_ERROR_CODES.get(code, 'unknown error') if args is not None: args = [*args] From be1144742ddeb24ef6f93acd2f13598e1e8a9b38 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 17 Nov 2023 11:28:18 -0700 Subject: [PATCH 050/118] fix exceptions --- wntr/epanet/exceptions.py | 128 -------------------------------------- 1 file changed, 128 deletions(-) diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index 6ed8555a6..1a4200128 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -85,130 +85,7 @@ 309: "cannot save results to report file %s", } """A dictionary of the error codes and their meanings from the EPANET toolkit. -<<<<<<< HEAD Please see :doc:`/errors` for tables of these values. -======= - -.. rubric:: Runtime warnings -==== ============================================================================================================================================================================== -Err# Description ----- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ -1 At `time`, system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials -2 At `time`, system may be hydraulically unstable - hydraulic convergence was only achieved after the status of all links was held fixed -3 At `time`, system disconnected - one or more nodes with positive demands were disconnected for all supply sources -4 At `time`, pumps cannot deliver enough flow or head - one or more pumps were forced to either shut down (due to insufficient head) or operate beyond the maximum rated flow -5 At `time`, valves cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open -6 At `time`, system has negative pressures - negative pressures occurred at one or more junctions with positive demand -==== ============================================================================================================================================================================== - -.. rubric:: Runtime errors - -==== ================================================================= -Err# Description ----- ----------------------------------------------------------------- -101 insufficient memory available -102 no network data available -103 hydraulics not initialized -104 no hydraulics for water quality analysis -105 water quality not initialized -106 no results saved to report on -107 hydraulics supplied from external file -108 cannot use external file while hydraulics solver is active -109 cannot change time parameter when solver is active -110 cannot solve network hydraulic equations -120 cannot solve water quality transport equations -==== ================================================================= - -.. rubric:: Input file errors, exclusively - -==== ================================================================= -Err# Description ----- ----------------------------------------------------------------- -200 one or more errors in input file -201 syntax error -==== ================================================================= - -.. rubric:: Input file and/or toolkit errors - -==== ================================================================= -Err# Description ----- ----------------------------------------------------------------- -202 illegal numeric value -203 undefined node -204 undefined link -205 undefined time pattern -206 undefined curve -207 attempt to control a CV/GPV link -208 illegal PDA pressure limits -209 illegal node property value -211 illegal link property value -212 undefined trace node -213 invalid option value -214 too many characters in input line -215 duplicate ID label -216 reference to undefined pump -217 pump has no head curve or power defined -218 `note: error number 218 is undefined in the EPANET 2.2 toolkit` -219 illegal valve connection to tank node -220 illegal valve connection to another valve -221 misplaced rule clause in rule-based control -222 link assigned same start and end nodes -==== ================================================================= - -.. rubric:: Network consistency errors (INP-file and/or toolkit) - -==== ================================================================= -Err# Description ----- ----------------------------------------------------------------- -223 not enough nodes in network -224 no tanks or reservoirs in network -225 invalid lower/upper levels for tank -226 no head curve or power rating for pump -227 invalid head curve for pump -230 nonincreasing x-values for curve -233 network has unconnected node -234 network has an unconnected node with ID `id` -==== ================================================================= - -.. rubric:: Toolkit-only errors - -==== ================================================================= -Err# Description ----- ----------------------------------------------------------------- -240 nonexistent water quality source -241 nonexistent control -250 invalid format (e.g. too long an ID name) -251 invalid parameter code -252 invalid ID name -253 nonexistent demand category -254 node with no coordinates -255 invalid link vertex -257 nonexistent rule -258 nonexistent rule clause -259 attempt to delete a node that still has links connected to it -260 attempt to delete node assigned as a Trace Node -261 attempt to delete a node or link contained in a control -262 attempt to modify network structure while a solver is open -263 node is not a tank -==== ================================================================= - -.. rubric:: File I/O errors - -==== ========================================================= -Err# Description ----- --------------------------------------------------------- -301 identical file names used for different types of files -302 cannot open input file -303 cannot open report file -304 cannot open binary output file -305 cannot open hydraulics file -306 hydraulics file does not match network data -307 cannot read hydraulics file -308 cannot save results to binary file -309 cannot save results to report file -==== ========================================================= - ->>>>>>> f2235867 (Update to correct the exceptions listings) :meta hide-value: """ @@ -231,11 +108,6 @@ def __init__(self, code: int, *args: List[object], line_num=None, line=None) -> line : str, optional The contents of the line, by default None """ -<<<<<<< HEAD -======= - if not isinstance(code, int): - return super().__init__('unknown error code: {}'.format(repr(code)), *args) ->>>>>>> f2235867 (Update to correct the exceptions listings) msg = EN_ERROR_CODES.get(code, 'unknown error') if args is not None: args = [*args] From d4678600f49731c6e9a1cee98edfa4a2018bdea9 Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 30 Oct 2023 10:12:27 -0600 Subject: [PATCH 051/118] Updates to address comments in PR. Tests forthcoming --- documentation/errors.rst | 166 +++++++++++++++++++++++++++++++++++++++ documentation/index.rst | 1 + 2 files changed, 167 insertions(+) create mode 100644 documentation/errors.rst diff --git a/documentation/errors.rst b/documentation/errors.rst new file mode 100644 index 000000000..5206caaba --- /dev/null +++ b/documentation/errors.rst @@ -0,0 +1,166 @@ +.. raw:: latex + + \clearpage + + +Errors and debugging +==================== + +WNTR extends several of the standard python exceptions, :class:`KeyError`, :class:`SyntaxError`, +and :class:`ValueError` with EPANET toolkit specific versions, +:class:`~wntr.epanet.exceptions.ENKeyError`, +:class:`~wntr.epanet.exceptions.ENSyntaxError`, +and :class:`~wntr.epanet.exceptions.ENValueError`, +and a base :class:`~wntr.epanet.exceptions.EpanetException`. +These exceptions are raised when errors occur during INP-file reading/writing, +when using the EPANET toolkit functions, and when running the +:class:`~wntr.sim.epanet.EpanetSimulator`. + +In addition to the normal information that a similar python exception would provide, +these exceptions return the EPANET error code number and the error description +from the EPANET source code. WNTR also tries to intuit the specific variable, +line number (of an input file), and timestamp to give the user the most information +possible. Tables :numref:`table-epanet-warnings` through :numref:`table-epanet-errors-filesystem` +provide the description of the various warnings and error codes defined in [Ross00]_. + + +.. _table-epanet-warnings: +.. table:: EPANET warnings + + =========== ============================================================================================================================================================================== + *Err No.* *Description* + ----------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ + **1-6** **Simulation warnings** + ----------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ + 1 At `{time}`, system hydraulically unbalanced - convergence to a hydraulic solution was not achieved in the allowed number of trials + 2 At `{time}`, system may be hydraulically unstable - hydraulic convergence was only achieved after the status of all links was held fixed + 3 At `{time}`, system disconnected - one or more nodes with positive demands were disconnected for all supply sources + 4 At `{time}`, pumps cannot deliver enough flow or head - one or more pumps were forced to either shut down (due to insufficient head) or operate beyond the maximum rated flow + 5 At `{time}`, valves cannot deliver enough flow - one or more flow control valves could not deliver the required flow even when fully open + 6 At `{time}`, system has negative pressures - negative pressures occurred at one or more junctions with positive demand + =========== ============================================================================================================================================================================== + +.. _table-epanet-errors-runtime: +.. table:: EPANET runtime errors + + =========== ================================================================= + *Err No.* *Description* + ----------- ----------------------------------------------------------------- + **101-120** **Runtime and simulation errors** + ----------- ----------------------------------------------------------------- + 101 insufficient memory available + 102 no network data available + 103 hydraulics not initialized + 104 no hydraulics for water quality analysis + 105 water quality not initialized + 106 no results saved to report on + 107 hydraulics supplied from external file + 108 cannot use external file while hydraulics solver is active + 109 cannot change time parameter when solver is active + 110 cannot solve network hydraulic equations + 120 cannot solve water quality transport equations + =========== ================================================================= + + +.. _table-epanet-errors-network: +.. table:: EPANET network errors + + =========== ================================================================= + *Err No.* *Description* + ----------- ----------------------------------------------------------------- + **200-201** **Input file errors (exclusively for input files)** + ----------- ----------------------------------------------------------------- + 200 one or more errors in input file + 201 syntax error + ----------- ----------------------------------------------------------------- + **202-222** **Input file and toolkit errors** + ----------- ----------------------------------------------------------------- + 202 illegal numeric value + 203 undefined node + 204 undefined link + 205 undefined time pattern + 206 undefined curve + 207 attempt to control a CV/GPV link + 208 illegal PDA pressure limits + 209 illegal node property value + 211 illegal link property value + 212 undefined trace node + 213 invalid option value + 214 too many characters in input line + 215 duplicate ID label + 216 reference to undefined pump + 217 pump has no head curve or power defined + 218 `note: error number 218 is undefined in EPANET 2.2` + 219 illegal valve connection to tank node + 220 illegal valve connection to another valve + 221 misplaced rule clause in rule-based control + 222 link assigned same start and end nodes + ----------- ----------------------------------------------------------------- + **223-234** **Network consistency errors (INP-file and/or toolkit)** + ----------- ----------------------------------------------------------------- + 223 not enough nodes in network + 224 no tanks or reservoirs in network + 225 invalid lower/upper levels for tank + 226 no head curve or power rating for pump + 227 invalid head curve for pump + 230 nonincreasing x-values for curve + 233 network has unconnected node + 234 network has an unconnected node with ID `id` + ----------- ----------------------------------------------------------------- + **240-263** **Toolkit-only errors** + ----------- ----------------------------------------------------------------- + 240 nonexistent water quality source + 241 nonexistent control + 250 invalid format (e.g. too long an ID name) + 251 invalid parameter code + 252 invalid ID name + 253 nonexistent demand category + 254 node with no coordinates + 255 invalid link vertex + 257 nonexistent rule + 258 nonexistent rule clause + 259 attempt to delete a node that still has links connected to it + 260 attempt to delete node assigned as a Trace Node + 261 attempt to delete a node or link contained in a control + 262 attempt to modify network structure while a solver is open + 263 node is not a tank + =========== ================================================================= + + +.. _table-epanet-errors-filesystem: +.. table:: EPANET file/system errors + + =========== ================================================================= + *Err No.* *Description* + ----------- ----------------------------------------------------------------- + **301-305** **Filename errors** + ----------- ----------------------------------------------------------------- + 301 identical file names used for different types of files + 302 cannot open input file + 303 cannot open report file + 304 cannot open binary output file + 305 cannot open hydraulics file + ----------- ----------------------------------------------------------------- + **306-307** **File structure errors** + ----------- ----------------------------------------------------------------- + 306 hydraulics file does not match network data + 307 cannot read hydraulics file + ----------- ----------------------------------------------------------------- + **308-309** **Filesystem errors** + ----------- ----------------------------------------------------------------- + 308 cannot save results to binary file + 309 cannot save results to report file + =========== ================================================================= + + +For developers +-------------- + +The custom exceptions for EPANET that are included in the :class:`wntr.epanet.exceptions` +module subclass both the :class:`~wntr.epanet.exceptions.EpanetException` +and the standard python exception they are named after. This means that when handling +exceptions, a try-catch block that is looking for a :class:`KeyError`, for example, +will still catch an :class:`~wntr.epanet.exceptions.ENKeyError`. The newest versions +of Python, e.g., 3.11, have a new style of multiple inheritence for Exceptions, called +exception groups, but this has not yet been used in WNTR because older versions of +Python are still supported at this time. diff --git a/documentation/index.rst b/documentation/index.rst index 003bde8c1..5c56728c4 100644 --- a/documentation/index.rst +++ b/documentation/index.rst @@ -31,6 +31,7 @@ designed to simulate and analyze resilience of water distribution networks. graphics gis advancedsim + errors license whatsnew developers From 4c9600aff5498d56be395cd234f0c41f8842c527 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 17 Nov 2023 09:37:07 -0700 Subject: [PATCH 052/118] Added the tests for exceptions --- .../apidoc/wntr.epanet.exceptions.rst | 7 --- wntr/tests/test_epanet_exceptions.py | 47 +++++++++++++++++++ 2 files changed, 47 insertions(+), 7 deletions(-) delete mode 100644 documentation/apidoc/wntr.epanet.exceptions.rst create mode 100644 wntr/tests/test_epanet_exceptions.py diff --git a/documentation/apidoc/wntr.epanet.exceptions.rst b/documentation/apidoc/wntr.epanet.exceptions.rst deleted file mode 100644 index 6cb9d9029..000000000 --- a/documentation/apidoc/wntr.epanet.exceptions.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.epanet.exceptions module -============================= - -.. automodule:: wntr.epanet.exceptions - :members: - :no-undoc-members: - :show-inheritance: diff --git a/wntr/tests/test_epanet_exceptions.py b/wntr/tests/test_epanet_exceptions.py new file mode 100644 index 000000000..5dd3b20c3 --- /dev/null +++ b/wntr/tests/test_epanet_exceptions.py @@ -0,0 +1,47 @@ +import unittest +from os.path import abspath, dirname, join, exists + +import wntr.epanet.exceptions + +testdir = dirname(abspath(__file__)) +datadir = join(testdir, "..", "..", "examples", "networks") + + +class TestEpanetExceptions(unittest.TestCase): + + def test_epanet_exception(self): + try: + raise wntr.epanet.exceptions.EpanetException(213, '13:00:00 pm', 'Cannot specify am/pm for times greater than 12:00:00') + except Exception as e: + self.assertTupleEqual(e.args, ("(Error 213) invalid option value '13:00:00 pm' ['Cannot specify am/pm for times greater than 12:00:00']",)) + try: + raise wntr.epanet.exceptions.EpanetException(999) + except Exception as e: + self.assertTupleEqual(e.args, ('(Error 999) unknown error',)) + try: + raise wntr.epanet.exceptions.EpanetException(108) + except Exception as e: + self.assertTupleEqual(e.args, ('(Error 108) cannot use external file while hydraulics solver is active',)) + + def test_epanet_syntax_error(self): + try: + raise wntr.epanet.exceptions.ENSyntaxError(223, line_num=38, line='I AM A SYNTAX ERROR') + except SyntaxError as e: + self.assertTupleEqual(e.args, ('(Error 223) not enough nodes in network, at line 38:\n I AM A SYNTAX ERROR',)) + + def test_epanet_key_error(self): + try: + raise wntr.epanet.exceptions.ENKeyError(206, 'NotACurve') + except KeyError as e: + self.assertTupleEqual(e.args, ("(Error 206) undefined curve, 'NotACurve'",)) + + def test_epanet_value_error(self): + try: + raise wntr.epanet.exceptions.ENValueError(213, 423.0e28) + except ValueError as e: + self.assertTupleEqual(e.args, ('(Error 213) invalid option value 4.23e+30',)) + + + +if __name__ == "__main__": + unittest.main() From 54e045eff37e27981b7bb2ab17eb9a58aa7bc6c6 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 17 Nov 2023 11:33:52 -0700 Subject: [PATCH 053/118] Get rid of apidoc to match docs-theme --- documentation/apidoc/wntr.epanet.io.rst | 7 ----- .../apidoc/wntr.epanet.msx.enums.rst | 7 ----- .../apidoc/wntr.epanet.msx.exceptions.rst | 7 ----- documentation/apidoc/wntr.epanet.msx.io.rst | 7 ----- documentation/apidoc/wntr.epanet.msx.rst | 20 -------------- .../apidoc/wntr.epanet.msx.toolkit.rst | 7 ----- documentation/apidoc/wntr.epanet.rst | 21 --------------- documentation/apidoc/wntr.epanet.toolkit.rst | 7 ----- documentation/apidoc/wntr.epanet.util.rst | 7 ----- documentation/apidoc/wntr.gis.geospatial.rst | 7 ----- documentation/apidoc/wntr.gis.network.rst | 7 ----- documentation/apidoc/wntr.gis.rst | 15 ----------- documentation/apidoc/wntr.graphics.color.rst | 7 ----- documentation/apidoc/wntr.graphics.curve.rst | 7 ----- documentation/apidoc/wntr.graphics.layer.rst | 7 ----- .../apidoc/wntr.graphics.network.rst | 7 ----- documentation/apidoc/wntr.graphics.rst | 18 ------------- .../apidoc/wntr.metrics.economic.rst | 7 ----- .../apidoc/wntr.metrics.hydraulic.rst | 7 ----- documentation/apidoc/wntr.metrics.misc.rst | 7 ----- documentation/apidoc/wntr.metrics.rst | 18 ------------- .../apidoc/wntr.metrics.topographic.rst | 7 ----- .../apidoc/wntr.metrics.water_security.rst | 7 ----- documentation/apidoc/wntr.morph.link.rst | 7 ----- documentation/apidoc/wntr.morph.node.rst | 7 ----- documentation/apidoc/wntr.morph.rst | 16 ----------- documentation/apidoc/wntr.morph.skel.rst | 7 ----- documentation/apidoc/wntr.msx.base.rst | 7 ----- documentation/apidoc/wntr.msx.elements.rst | 7 ----- documentation/apidoc/wntr.msx.library.rst | 7 ----- documentation/apidoc/wntr.msx.model.rst | 7 ----- documentation/apidoc/wntr.msx.options.rst | 7 ----- documentation/apidoc/wntr.msx.rst | 20 -------------- documentation/apidoc/wntr.network.base.rst | 8 ------ .../apidoc/wntr.network.controls.rst | 8 ------ .../apidoc/wntr.network.elements.rst | 8 ------ documentation/apidoc/wntr.network.io.rst | 8 ------ documentation/apidoc/wntr.network.layer.rst | 8 ------ documentation/apidoc/wntr.network.model.rst | 8 ------ documentation/apidoc/wntr.network.options.rst | 7 ----- documentation/apidoc/wntr.network.rst | 21 --------------- documentation/apidoc/wntr.rst | 27 ------------------- .../apidoc/wntr.scenario.earthquake.rst | 7 ----- .../apidoc/wntr.scenario.fragility_curve.rst | 7 ----- documentation/apidoc/wntr.scenario.rst | 16 ----------- documentation/apidoc/wntr.sim.aml.rst | 12 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a/documentation/apidoc/wntr.epanet.msx.exceptions.rst b/documentation/apidoc/wntr.epanet.msx.exceptions.rst deleted file mode 100644 index 0f920ebf8..000000000 --- a/documentation/apidoc/wntr.epanet.msx.exceptions.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.epanet.msx.exceptions module -================================= - -.. automodule:: wntr.epanet.msx.exceptions - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.epanet.msx.io.rst b/documentation/apidoc/wntr.epanet.msx.io.rst deleted file mode 100644 index eb608d561..000000000 --- a/documentation/apidoc/wntr.epanet.msx.io.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.epanet.msx.io module -========================= - -.. automodule:: wntr.epanet.msx.io - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.epanet.msx.rst b/documentation/apidoc/wntr.epanet.msx.rst deleted file mode 100644 index 83be9381a..000000000 --- a/documentation/apidoc/wntr.epanet.msx.rst +++ /dev/null @@ -1,20 +0,0 @@ -wntr.epanet.msx module -====================== - -.. automodule:: wntr.epanet.msx - :members: - :no-undoc-members: - :show-inheritance: - - -Submodules ----------- - -.. toctree:: - :maxdepth: 1 - - wntr.epanet.msx.enums - wntr.epanet.msx.exceptions - wntr.epanet.msx.io - wntr.epanet.msx.toolkit - diff --git a/documentation/apidoc/wntr.epanet.msx.toolkit.rst b/documentation/apidoc/wntr.epanet.msx.toolkit.rst deleted file mode 100644 index 4ae1e206a..000000000 --- a/documentation/apidoc/wntr.epanet.msx.toolkit.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.epanet.msx.toolkit module -============================== - -.. automodule:: wntr.epanet.msx.toolkit - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.epanet.rst b/documentation/apidoc/wntr.epanet.rst deleted file mode 100644 index a4fc3f35d..000000000 --- a/documentation/apidoc/wntr.epanet.rst +++ /dev/null @@ -1,21 +0,0 @@ -wntr.epanet package -=================== - -.. automodule:: wntr.epanet - :members: - :no-undoc-members: - :show-inheritance: - - -Submodules ----------- - -.. toctree:: - :maxdepth: 1 - - wntr.epanet.exceptions - wntr.epanet.io - wntr.epanet.msx - wntr.epanet.toolkit - wntr.epanet.util - diff --git a/documentation/apidoc/wntr.epanet.toolkit.rst b/documentation/apidoc/wntr.epanet.toolkit.rst deleted file mode 100644 index 3556c750a..000000000 --- a/documentation/apidoc/wntr.epanet.toolkit.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.epanet.toolkit module -=================================== - -.. automodule:: wntr.epanet.toolkit - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.epanet.util.rst b/documentation/apidoc/wntr.epanet.util.rst deleted file mode 100644 index 9e367ec0d..000000000 --- a/documentation/apidoc/wntr.epanet.util.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.epanet.util module -======================= - -.. automodule:: wntr.epanet.util - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.gis.geospatial.rst b/documentation/apidoc/wntr.gis.geospatial.rst deleted file mode 100644 index b1ecdef10..000000000 --- a/documentation/apidoc/wntr.gis.geospatial.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.gis.geospatial module -===================================== - -.. automodule:: wntr.gis.geospatial - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.gis.network.rst b/documentation/apidoc/wntr.gis.network.rst deleted file mode 100644 index 236c31d19..000000000 --- a/documentation/apidoc/wntr.gis.network.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.gis.network module -===================================== - -.. automodule:: wntr.gis.network - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.gis.rst b/documentation/apidoc/wntr.gis.rst deleted file mode 100644 index 69a81375c..000000000 --- a/documentation/apidoc/wntr.gis.rst +++ /dev/null @@ -1,15 +0,0 @@ -wntr.gis package -==================== - -.. automodule:: wntr.gis - :members: - :no-undoc-members: - :show-inheritance: - -Submodules ----------- - -.. toctree:: - - wntr.gis.network - wntr.gis.geospatial diff --git a/documentation/apidoc/wntr.graphics.color.rst b/documentation/apidoc/wntr.graphics.color.rst deleted file mode 100644 index 62faef5e7..000000000 --- a/documentation/apidoc/wntr.graphics.color.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.graphics.color module -==================================== - -.. automodule:: wntr.graphics.color - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.graphics.curve.rst b/documentation/apidoc/wntr.graphics.curve.rst deleted file mode 100644 index 61823bf13..000000000 --- a/documentation/apidoc/wntr.graphics.curve.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.graphics.curve module -==================================== - -.. automodule:: wntr.graphics.curve - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.graphics.layer.rst b/documentation/apidoc/wntr.graphics.layer.rst deleted file mode 100644 index cb0ce7e24..000000000 --- a/documentation/apidoc/wntr.graphics.layer.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.graphics.layer module -==================================== - -.. automodule:: wntr.graphics.layer - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.graphics.network.rst b/documentation/apidoc/wntr.graphics.network.rst deleted file mode 100644 index a87b73ded..000000000 --- a/documentation/apidoc/wntr.graphics.network.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.graphics.network module -==================================== - -.. automodule:: wntr.graphics.network - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.graphics.rst b/documentation/apidoc/wntr.graphics.rst deleted file mode 100644 index 6d05f1b27..000000000 --- a/documentation/apidoc/wntr.graphics.rst +++ /dev/null @@ -1,18 +0,0 @@ -wntr.graphics package -===================== - -.. automodule:: wntr.graphics - :members: - :no-undoc-members: - :show-inheritance: - -Submodules ----------- - -.. toctree:: - - wntr.graphics.network - wntr.graphics.layer - wntr.graphics.curve - wntr.graphics.color - diff --git a/documentation/apidoc/wntr.metrics.economic.rst b/documentation/apidoc/wntr.metrics.economic.rst deleted file mode 100644 index 5ca22bda1..000000000 --- a/documentation/apidoc/wntr.metrics.economic.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.metrics.economic module -============================= - -.. automodule:: wntr.metrics.economic - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.metrics.hydraulic.rst b/documentation/apidoc/wntr.metrics.hydraulic.rst deleted file mode 100644 index 83432d025..000000000 --- a/documentation/apidoc/wntr.metrics.hydraulic.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.metrics.hydraulic module -================================ - -.. automodule:: wntr.metrics.hydraulic - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.metrics.misc.rst b/documentation/apidoc/wntr.metrics.misc.rst deleted file mode 100644 index 99dba99d6..000000000 --- a/documentation/apidoc/wntr.metrics.misc.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.metrics.misc module -========================= - -.. automodule:: wntr.metrics.misc - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.metrics.rst b/documentation/apidoc/wntr.metrics.rst deleted file mode 100644 index 9278e295e..000000000 --- a/documentation/apidoc/wntr.metrics.rst +++ /dev/null @@ -1,18 +0,0 @@ -wntr.metrics package -====================== - -.. automodule:: wntr.metrics - :members: - :no-undoc-members: - :show-inheritance: - -Submodules ----------- - -.. toctree:: - - wntr.metrics.topographic - wntr.metrics.hydraulic - wntr.metrics.water_security - wntr.metrics.economic - wntr.metrics.misc diff --git a/documentation/apidoc/wntr.metrics.topographic.rst b/documentation/apidoc/wntr.metrics.topographic.rst deleted file mode 100644 index 992b1ce5e..000000000 --- a/documentation/apidoc/wntr.metrics.topographic.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.metrics.topographic module -=============================== - -.. automodule:: wntr.metrics.topographic - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.metrics.water_security.rst b/documentation/apidoc/wntr.metrics.water_security.rst deleted file mode 100644 index a1d0629c3..000000000 --- a/documentation/apidoc/wntr.metrics.water_security.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.metrics.water_security module -===================================== - -.. automodule:: wntr.metrics.water_security - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.morph.link.rst b/documentation/apidoc/wntr.morph.link.rst deleted file mode 100644 index 94d3d0a9f..000000000 --- a/documentation/apidoc/wntr.morph.link.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.morph.link module -===================================== - -.. automodule:: wntr.morph.link - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.morph.node.rst b/documentation/apidoc/wntr.morph.node.rst deleted file mode 100644 index 70b826f60..000000000 --- a/documentation/apidoc/wntr.morph.node.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.morph.node module -===================================== - -.. automodule:: wntr.morph.node - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.morph.rst b/documentation/apidoc/wntr.morph.rst deleted file mode 100644 index 888d0a1ef..000000000 --- a/documentation/apidoc/wntr.morph.rst +++ /dev/null @@ -1,16 +0,0 @@ -wntr.morph package -==================== - -.. automodule:: wntr.morph - :members: - :no-undoc-members: - :show-inheritance: - -Submodules ----------- - -.. toctree:: - - wntr.morph.node - wntr.morph.link - wntr.morph.skel diff --git a/documentation/apidoc/wntr.morph.skel.rst b/documentation/apidoc/wntr.morph.skel.rst deleted file mode 100644 index 2969ece7b..000000000 --- a/documentation/apidoc/wntr.morph.skel.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.morph.skel module -===================================== - -.. automodule:: wntr.morph.skel - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.base.rst b/documentation/apidoc/wntr.msx.base.rst deleted file mode 100644 index 9df2031eb..000000000 --- a/documentation/apidoc/wntr.msx.base.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.msx.base module -==================== - -.. automodule:: wntr.msx.base - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.elements.rst b/documentation/apidoc/wntr.msx.elements.rst deleted file mode 100644 index 9bc59e92d..000000000 --- a/documentation/apidoc/wntr.msx.elements.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.msx.elements module -======================== - -.. automodule:: wntr.msx.elements - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.library.rst b/documentation/apidoc/wntr.msx.library.rst deleted file mode 100644 index dc10f1f4e..000000000 --- a/documentation/apidoc/wntr.msx.library.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.msx.library module -======================= - -.. automodule:: wntr.msx.library - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.model.rst b/documentation/apidoc/wntr.msx.model.rst deleted file mode 100644 index ec8a7934e..000000000 --- a/documentation/apidoc/wntr.msx.model.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.msx.model module -===================== - -.. automodule:: wntr.msx.model - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.options.rst b/documentation/apidoc/wntr.msx.options.rst deleted file mode 100644 index 1e1b0c622..000000000 --- a/documentation/apidoc/wntr.msx.options.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.msx.options module -======================= - -.. automodule:: wntr.msx.options - :members: - :undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.msx.rst b/documentation/apidoc/wntr.msx.rst deleted file mode 100644 index 00b1530eb..000000000 --- a/documentation/apidoc/wntr.msx.rst +++ /dev/null @@ -1,20 +0,0 @@ -wntr.msx package -================ - -.. automodule:: wntr.msx - :members: - :undoc-members: - :show-inheritance: - - -Submodules ----------- - -.. toctree:: - :maxdepth: 1 - - wntr.msx.base - wntr.msx.elements - wntr.msx.library - wntr.msx.model - wntr.msx.options diff --git a/documentation/apidoc/wntr.network.base.rst b/documentation/apidoc/wntr.network.base.rst deleted file mode 100644 index cd3152561..000000000 --- a/documentation/apidoc/wntr.network.base.rst +++ /dev/null @@ -1,8 +0,0 @@ -wntr.network.base module -===================================== - -.. automodule:: wntr.network.base - :members: - :inherited-members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.network.controls.rst b/documentation/apidoc/wntr.network.controls.rst deleted file mode 100644 index 07036c787..000000000 --- a/documentation/apidoc/wntr.network.controls.rst +++ /dev/null @@ -1,8 +0,0 @@ -wntr.network.controls module -=================================== - -.. automodule:: wntr.network.controls - :members: - :inherited-members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.network.elements.rst b/documentation/apidoc/wntr.network.elements.rst deleted file mode 100644 index 26cef395e..000000000 --- a/documentation/apidoc/wntr.network.elements.rst +++ /dev/null @@ -1,8 +0,0 @@ -wntr.network.elements module -===================================== - -.. automodule:: wntr.network.elements - :members: - :inherited-members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.network.io.rst b/documentation/apidoc/wntr.network.io.rst deleted file mode 100644 index 190a5e351..000000000 --- a/documentation/apidoc/wntr.network.io.rst +++ /dev/null @@ -1,8 +0,0 @@ -wntr.network.io module -=================================== - -.. automodule:: wntr.network.io - :members: - :inherited-members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.network.layer.rst b/documentation/apidoc/wntr.network.layer.rst deleted file mode 100644 index ef1a5c171..000000000 --- a/documentation/apidoc/wntr.network.layer.rst +++ /dev/null @@ -1,8 +0,0 @@ -wntr.network.layer module -===================================== - -.. automodule:: wntr.network.layer - :members: - :inherited-members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.network.model.rst b/documentation/apidoc/wntr.network.model.rst deleted file mode 100644 index c40d391e4..000000000 --- a/documentation/apidoc/wntr.network.model.rst +++ /dev/null @@ -1,8 +0,0 @@ -wntr.network.model module -===================================== - -.. automodule:: wntr.network.model - :members: - :inherited-members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.network.options.rst b/documentation/apidoc/wntr.network.options.rst deleted file mode 100644 index 69baf0350..000000000 --- a/documentation/apidoc/wntr.network.options.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.network.options module -===================================== - -.. automodule:: wntr.network.options - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.network.rst b/documentation/apidoc/wntr.network.rst deleted file mode 100644 index 05dbe11ca..000000000 --- a/documentation/apidoc/wntr.network.rst +++ /dev/null @@ -1,21 +0,0 @@ -wntr.network package -==================== - -.. automodule:: wntr.network - :members: - :no-undoc-members: - :show-inheritance: - -Submodules ----------- - -.. toctree:: - - wntr.network.base - wntr.network.controls - wntr.network.elements - wntr.network.io - wntr.network.model - wntr.network.layer - wntr.network.options - diff --git a/documentation/apidoc/wntr.rst b/documentation/apidoc/wntr.rst deleted file mode 100644 index 7dd9f2ca5..000000000 --- a/documentation/apidoc/wntr.rst +++ /dev/null @@ -1,27 +0,0 @@ -.. _api_documentation: - -API documentation -=================== - -.. automodule:: wntr - :members: - :no-undoc-members: - :show-inheritance: - -Subpackages ------------ - -.. toctree:: - :maxdepth: 1 - - wntr.epanet - wntr.graphics - wntr.gis - wntr.metrics - wntr.morph - wntr.network - wntr.msx - wntr.scenario - wntr.sim - wntr.utils - diff --git a/documentation/apidoc/wntr.scenario.earthquake.rst b/documentation/apidoc/wntr.scenario.earthquake.rst deleted file mode 100644 index 3daaddef7..000000000 --- a/documentation/apidoc/wntr.scenario.earthquake.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.scenario.earthquake module -=============================== - -.. automodule:: wntr.scenario.earthquake - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.scenario.fragility_curve.rst b/documentation/apidoc/wntr.scenario.fragility_curve.rst deleted file mode 100644 index 1fcd14d21..000000000 --- a/documentation/apidoc/wntr.scenario.fragility_curve.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.scenario.fragility_curve module -===================================== - -.. automodule:: wntr.scenario.fragility_curve - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.scenario.rst b/documentation/apidoc/wntr.scenario.rst deleted file mode 100644 index 88a7aec78..000000000 --- a/documentation/apidoc/wntr.scenario.rst +++ /dev/null @@ -1,16 +0,0 @@ -wntr.scenario package -===================== - -.. automodule:: wntr.scenario - :members: - :no-undoc-members: - :show-inheritance: - -Submodules ----------- - -.. toctree:: - - wntr.scenario.earthquake - wntr.scenario.fragility_curve - diff --git a/documentation/apidoc/wntr.sim.aml.rst b/documentation/apidoc/wntr.sim.aml.rst deleted file mode 100644 index ffdb96180..000000000 --- a/documentation/apidoc/wntr.sim.aml.rst +++ /dev/null @@ -1,12 +0,0 @@ -wntr.sim.aml module -============================ - -.. automodule:: wntr.sim.aml.aml - :members: - :no-undoc-members: - :show-inheritance: - -.. automodule:: wntr.sim.aml.expr - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.sim.core.rst b/documentation/apidoc/wntr.sim.core.rst deleted file mode 100644 index fa5e1eb9c..000000000 --- a/documentation/apidoc/wntr.sim.core.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.sim.core module -============================= - -.. automodule:: wntr.sim.core - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.sim.epanet.rst b/documentation/apidoc/wntr.sim.epanet.rst deleted file mode 100644 index 2a6fab645..000000000 --- a/documentation/apidoc/wntr.sim.epanet.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.sim.epanet module -====================== - -.. automodule:: wntr.sim.epanet - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.sim.hydraulics.rst b/documentation/apidoc/wntr.sim.hydraulics.rst deleted file mode 100644 index 289b92411..000000000 --- a/documentation/apidoc/wntr.sim.hydraulics.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.sim.hydraulics module -============================== - -.. automodule:: wntr.sim.hydraulics - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.sim.results.rst b/documentation/apidoc/wntr.sim.results.rst deleted file mode 100644 index 6e6c78b6f..000000000 --- a/documentation/apidoc/wntr.sim.results.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.sim.results module -============================== - -.. automodule:: wntr.sim.results - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.sim.rst b/documentation/apidoc/wntr.sim.rst deleted file mode 100644 index cc230a09d..000000000 --- a/documentation/apidoc/wntr.sim.rst +++ /dev/null @@ -1,20 +0,0 @@ -wntr.sim package -================ - -.. automodule:: wntr.sim - :members: - :no-undoc-members: - :show-inheritance: - -Submodules ----------- - -.. toctree:: - - wntr.sim.core - wntr.sim.epanet - wntr.sim.hydraulics - wntr.sim.results - wntr.sim.solvers - wntr.sim.aml - diff --git a/documentation/apidoc/wntr.sim.solvers.rst b/documentation/apidoc/wntr.sim.solvers.rst deleted file mode 100644 index 4bd3ac9b2..000000000 --- a/documentation/apidoc/wntr.sim.solvers.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.sim.solvers module -============================ - -.. automodule:: wntr.sim.solvers - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.disjoint_mapping.rst b/documentation/apidoc/wntr.utils.disjoint_mapping.rst deleted file mode 100644 index de6ab742d..000000000 --- a/documentation/apidoc/wntr.utils.disjoint_mapping.rst +++ /dev/null @@ -1,8 +0,0 @@ -wntr.utils.disjoint_mapping module -================================== - -.. automodule:: wntr.utils.disjoint_mapping - :members: - :inherited-members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.enumtools.rst b/documentation/apidoc/wntr.utils.enumtools.rst deleted file mode 100644 index c856c713c..000000000 --- a/documentation/apidoc/wntr.utils.enumtools.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.utils.enumtools module -=========================== - -.. automodule:: wntr.utils.enumtools - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.logger.rst b/documentation/apidoc/wntr.utils.logger.rst deleted file mode 100644 index a778dc33d..000000000 --- a/documentation/apidoc/wntr.utils.logger.rst +++ /dev/null @@ -1,7 +0,0 @@ -wntr.utils.logger module -======================== - -.. automodule:: wntr.utils.logger - :members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.ordered_set.rst b/documentation/apidoc/wntr.utils.ordered_set.rst deleted file mode 100644 index 45610dd78..000000000 --- a/documentation/apidoc/wntr.utils.ordered_set.rst +++ /dev/null @@ -1,8 +0,0 @@ -wntr.utils.ordered_set module -=================================== - -.. automodule:: wntr.utils.ordered_set - :members: - :inherited-members: - :no-undoc-members: - :show-inheritance: diff --git a/documentation/apidoc/wntr.utils.rst b/documentation/apidoc/wntr.utils.rst deleted file mode 100644 index f66334b01..000000000 --- a/documentation/apidoc/wntr.utils.rst +++ /dev/null @@ -1,18 +0,0 @@ -wntr.utils package -================== - -.. automodule:: wntr.utils - :members: - :inherited-members: - :no-undoc-members: - :show-inheritance: - -Submodules ----------- - -.. toctree:: - - wntr.utils.disjoint_mapping - wntr.utils.enumtools - wntr.utils.logger - wntr.utils.ordered_set From fd965c742a1c8efe68743edd92b8878d6deffe9c Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 17 Nov 2023 11:40:48 -0700 Subject: [PATCH 054/118] Exceptions/docs-theme merges --- documentation/conf.py | 122 +++++++++++++++++++++++++------- documentation/errors.rst | 1 + documentation/hydraulics.rst | 15 ++-- documentation/index.rst | 60 +++++----------- documentation/reference.rst | 132 +++++++++++++++++++++-------------- wntr/epanet/__init__.py | 3 +- wntr/epanet/exceptions.py | 7 +- wntr/network/options.py | 19 ++--- 8 files changed, 211 insertions(+), 148 deletions(-) diff --git a/documentation/conf.py b/documentation/conf.py index d45b8e778..0fc5bf7c2 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -40,16 +40,51 @@ 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.intersphinx', -] + 'sphinx_design', + 'sphinxcontrib.bibtex' +] + +add_function_parentheses = True +add_module_names = False +python_display_short_literal_types = True + +toc_object_entries = True +toc_object_entries_show_parents = 'hide' + +napoleon_google_docstring = True +napoleon_numpy_docstring = True +napoleon_include_init_with_doc = True +napoleon_include_private_with_doc = False +napoleon_include_special_with_doc = False +napoleon_use_admonition_for_examples = False +napoleon_use_admonition_for_notes = False +napoleon_use_admonition_for_references = True +napoleon_preprocess_types = False +napoleon_use_ivar = True +napoleon_use_param = True +napoleon_use_rtype = True +napoleon_use_keyword = False +napoleon_custom_sections = ['Read-only Simulation Attributes', 'Class Methods', 'Enum Members'] + +# viewcode_import = False + +autodoc_default_options = { + 'undoc-members': True, + 'private-members': False, + 'special-members': False, + 'inherited-members': True, + 'show-inheritance': True, + 'member-order': 'groupwise', +} + +autodoc_class_signature = 'separated' +autodoc_typehints = 'description' +autodoc_typehints_format = 'short' +autodoc_typehints_description_target = 'documented' +autodoc_type_aliases = {'DataFrame': 'pandas DataFrame',} + +autoclass_content = 'class' -autosummary_generate = True -napoleon_use_rtype = False -viewcode_import = True -numpydoc_show_class_members = True -numpydoc_show_inherited_class_members = False -numpydoc_class_members_toctree = False -autodoc_member_order = 'bysource' -autoclass_content = 'both' numfig=True numfig_format = {'figure': 'Figure %s', 'table': 'Table %s', 'code-block': 'Listing %s'} @@ -57,7 +92,8 @@ templates_path = ['_templates'] import glob -autosummary_generate = glob.glob("apidoc/*.rst") +autosummary_generate = ["wntr-api.rst",] + glob.glob("apidoc/*.rst") +autosummary_generate_overwrite = True # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: @@ -75,6 +111,10 @@ copyright = u'2023 National Technology & Engineering Solutions of Sandia, LLC (NTESS)' author = u'WNTR Developers' +bibtex_bibfiles = ['references.bib', 'citations.bib'] +bibtex_default_style = 'plain' +bibtex_reference_style = 'label' + # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. @@ -91,6 +131,13 @@ # Usually you set "language" from the command line for these cases. language = 'en' +intersphinx_mapping = { + "python": ("https://docs.python.org/3", (None, "_local/python-objects.inv")), + "matplotlib": ("https://matplotlib.org/stable/", (None, "_local/matplotlib-objects.inv")), + "numpy": ("https://numpy.org/doc/stable/", (None, "_local/numpy-objects.inv")), + "pandas": ("https://pandas.pydata.org/docs/", (None, "_local/pandas-objects.inv")), +} + # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' @@ -104,11 +151,9 @@ # The reST default role (used for this markup: `text`) to use for all # documents. #default_role = None -napoleon_custom_sections = ['Read-only Simulation Attributes', 'Class Methods', 'Enum Members', 'Model Description'] # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True -#autodoc_type_aliases = {'DataFrame': 'pandas DataFrame', 'MsxVariable': ':class:`~wntr.msx.model.MsxVariable`', 'NoteType': ':class:`~wntr.epanet.util.NoteType`'} # If true, the current module name will be prepended to all description # unit titles (such as .. function::). @@ -129,7 +174,7 @@ # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True -html_extra_path = ['extra'] + # -- Options for HTML output ---------------------------------------------- @@ -137,26 +182,53 @@ # a list of builtin themes. #html_theme = 'sphinx_rtd_theme' -def setup(app): - app.add_css_file( "wntr.css") on_rtd = os.environ.get('READTHEDOCS', None) == 'True' if not on_rtd: # only import and set the theme if we're building docs locally - import sphinx_rtd_theme - html_theme = 'sphinx_rtd_theme' - html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] - html_style = 'wntr.css' + html_theme = 'pydata_sphinx_theme' + else: + def setup(app): + app.add_css_file( "wntr.css") html_theme = 'default' # html_context = { # 'css_files': ['_static/wntr.css'], # } - + # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. -#html_theme_options = {} - +html_theme_options = { + "icon_links": [ + { + # Label for this link + "name": "GitHub", + # URL where the link will redirect + "url": "https://github.com/USEPA/WNTR", # required + # Icon class (if "type": "fontawesome"), or path to local image (if "type": "local") + "icon": "fa-brands fa-github", + # The type of image to be used (see below for details) + "type": "fontawesome", + }, + { + "name": "Sandia National Laboratories", + "url": "https://sandia.gov", # required + "icon": "_static/snl_logo.png", + "type": "local", + }, + { + "name": "U.S. Environmental Protection Agency", + "url": "https://epa.gov", # required + "icon": "_static/epa_logo.png", + "type": "local", + }, + ], + "use_edit_page_button": False, + "primary_sidebar_end": ["indices.html"], + "show_toc_level": 2, + # "secondary_sidebar_items": ["page-toc"], #["page-toc", "edit-this-page", "sourcelink"], + "navbar_end": [ "theme-switcher.html", "navbar-icon-links.html",], +} # Add any paths that contain custom themes here, relative to this directory. #html_theme_path = [] @@ -169,12 +241,12 @@ def setup(app): # The name of an image file (relative to this directory) to place at the top # of the sidebar. -#html_logo = 'figures/wntr.png' +html_logo = '_static/logo.jpg' # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. -#html_favicon = None +html_favicon = "_static/wntr-favicon.svg" # The style sheet to use for HTML and HTML Help pages. A file of that name # must exist either in Sphinx' static/ path, or in one of the custom paths @@ -189,7 +261,7 @@ def setup(app): # Add any extra paths that contain custom files (such as robots.txt or # .htaccess) here, relative to this directory. These files are copied # directly to the root of the documentation. -#html_extra_path = [] +html_extra_path = ['_data'] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. diff --git a/documentation/errors.rst b/documentation/errors.rst index 5206caaba..bd945d6f7 100644 --- a/documentation/errors.rst +++ b/documentation/errors.rst @@ -2,6 +2,7 @@ \clearpage +.. _epanet-errors: Errors and debugging ==================== diff --git a/documentation/hydraulics.rst b/documentation/hydraulics.rst index f284024b7..56243a2ad 100644 --- a/documentation/hydraulics.rst +++ b/documentation/hydraulics.rst @@ -9,11 +9,10 @@ Hydraulic simulation WNTR contains two simulators: the EpanetSimulator and the WNTRSimulator. See :ref:`software_framework` for more information on features and limitations of these simulators. -Additional hydraulic simulation options are discussed in :ref:`advanced_simulation`. EpanetSimulator ----------------- -The EpanetSimulator can be used to run a hydraulic simulation using the EPANET 2.00.12 Programmer's Toolkit [Ross00]_ or EPANET 2.2.0 Programmer's Toolkit [RWTS20]_. +The EpanetSimulator can be used to run EPANET 2.00.12 Programmer's Toolkit :cite:p:`ross00` or EPANET 2.2.0 Programmer's Toolkit :cite:p:`rwts20`. EPANET 2.2.0 is used by default and runs demand-driven and pressure dependent hydraulic analysis. EPANET 2.00.12 runs demand-driven hydraulic analysis only. Both versions can also run water quality simulations, as described in :ref:`water_quality_simulation`. @@ -112,7 +111,7 @@ More information on water network options can be found in :ref:`options`. Mass balance at nodes ------------------------- -Both simulators use the mass balance equations from EPANET [Ross00]_: +Both simulators use the mass balance equations from EPANET :cite:p:`ross00`: .. math:: @@ -128,7 +127,7 @@ If water is flowing out of node :math:`n` and into pipe :math:`p`, then Headloss in pipes ------------------------- -Both simulators use conservation of energy formulas from EPANET [Ross00]_. +Both simulators use conservation of energy formulas from EPANET :cite:p:`ross00`. While the EpanetSimulator can use the Hazen-Williams and Chezy-Manning pipe head loss formulas, the WNTRSimulator uses only the Hazen-Williams head loss formula, shown below. @@ -226,7 +225,7 @@ The mass balance and headloss equations described above are solved by simultaneously determining demand along with the network pressures and flow rates. Both simulators can run hydraulics using a pressure dependent demand simulation -according to the following pressure-demand relationship [WaSM88]_: +according to the following pressure-demand relationship :cite:p:`wasm88`: .. math:: @@ -309,7 +308,7 @@ Users interested in using the EpanetSimulator to model leaks can still do so by emitter coefficients. When using the WNTRSimulator, leaks are modeled with a general form of the equation proposed by Crowl and Louvar -[CrLo02]_ where the mass flow rate of fluid through the hole is expressed as: +:cite:p:`crlo02` where the mass flow rate of fluid through the hole is expressed as: .. math:: @@ -329,9 +328,9 @@ where :math:`g` is the acceleration of gravity (m/s²), and :math:`\rho` is the density of the fluid (kg/m³). -The default discharge coefficient is 0.75 (assuming turbulent flow) [Lamb01]_, but +The default discharge coefficient is 0.75 (assuming turbulent flow) :cite:p:`lamb01`, but the user can specify other values if needed. -The value of :math:`\alpha` is set to 0.5 (assuming large leaks out of steel pipes) [Lamb01]_ and currently cannot be changed by the user. +The value of :math:`\alpha` is set to 0.5 (assuming large leaks out of steel pipes) :cite:p:`lamb01` and currently cannot be changed by the user. Leaks can be added to junctions and tanks. A pipe break is modeled using a leak area large enough to drain the pipe. diff --git a/documentation/index.rst b/documentation/index.rst index 5c56728c4..b7ba52ee4 100644 --- a/documentation/index.rst +++ b/documentation/index.rst @@ -1,47 +1,28 @@ -.. figure:: figures/logo.jpg +.. figure:: _static/logo.jpg :scale: 10 % :alt: Logo +======================================== +Water Network Tool for Resilience (WNTR) +======================================== + The Water Network Tool for Resilience (WNTR) is an EPANET compatible Python package designed to simulate and analyze resilience of water distribution networks. +The official WNTR software repository is in the U.S. EPA's GitHub repository +(https://github.com/USEPA/WNTR); releases are also made available via PyPI and conda-forge +(see :ref:`installation`). + .. toctree:: :maxdepth: 1 + :hidden: - overview - installation - framework - units - getting_started - waternetworkmodel - model_io - controls - networkxgraph - layers - options - hydraulics - waterquality - waterquality_msx - resultsobject - disaster_models - criticality - resilience - fragility - morph - graphics - gis - advancedsim - errors - license - whatsnew - developers + userguide + wntr-api users - API documentation - acronyms - reference - + Citing WNTR ------------------ +=========== To cite WNTR, use one of the following references: * Klise, K.A., Hart, D.B., Bynum, M., Hogge, J., Haxton, T., Murray, R., Burkhardt, J. (2020). Water Network Tool for Resilience (WNTR) User Manual: Version 0.2.3. U.S. EPA Office of Research and Development, Washington, DC, EPA/600/R-20/185, 82p. @@ -50,8 +31,9 @@ To cite WNTR, use one of the following references: * Klise, K.A., Bynum, M., Moriarty, D., Murray, R. (2017). A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study, Environmental Modelling and Software, 95, 420-431, doi: 10.1016/j.envsoft.2017.06.022 + US EPA Disclaimer ---------------------- +================= The U.S. Environmental Protection Agency through its Office of Research and Development funded and collaborated in the research described here under an Interagency Agreement with the Department of Energy's Sandia National Laboratories. @@ -60,17 +42,9 @@ the contents necessarily reflect the views of the Agency. Mention of trade names EPA approval, endorsement, or recommendation. Sandia Funding Statement --------------------------------- +======================== Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA-0003525. -Indices and tables -================== - -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` - - diff --git a/documentation/reference.rst b/documentation/reference.rst index bd638f8cf..d365df535 100644 --- a/documentation/reference.rst +++ b/documentation/reference.rst @@ -2,93 +2,123 @@ \clearpage -References -==================== - .. only:: html - Due to limitations with cross referenced citations in reStructuredText (e.g., commas and spaces are not supported), - citations are cross referenced using a 6 digit notation [*]_. + References + ========== + + +.. raw:: latex + + \begingroup + \def\section#1#2{} + \def\chapter#1#2{} + \begin{thebibliography}{1234} + +.. + [ALA01] American Lifelines Alliance. (2001). Seismic Fragility Formulations for Water Systems, Part 1 and 2. Report for the American Lifelines Alliance, ASCE (Ed.) Reston, VA: American Society of Civil Engineers. April 2001. -.. [ALA01] American Lifelines Alliance. (2001). Seismic Fragility Formulations for Water Systems, Part 1 and 2. Report for the American Lifelines Alliance, ASCE (Ed.) Reston, VA: American Society of Civil Engineers. April 2001. +.. + [AwGB90] Awumah, K., Goulter, I., and Bhatt, S.K. (1990). Assessment of reliability in water distribution networks using entropy based measures. Stochastic Hydrology and Hydraulics, 4(4), 309-320. -.. [AwGB90] Awumah, K., Goulter, I., and Bhatt, S.K. (1990). Assessment of reliability in water distribution networks using entropy based measures. Stochastic Hydrology and Hydraulics, 4(4), 309-320. +.. + [BaRR13] Barker, K., Ramirez-Marquez, J.E., and Rocco, C.M. (2013). Resilience-based network component importance measures. Reliability Engineering and System Safety, 117, 89-97. -.. [BaRR13] Barker, K., Ramirez-Marquez, J.E., and Rocco, C.M. (2013). Resilience-based network component importance measures. Reliability Engineering and System Safety, 117, 89-97. +.. + [Bieni19] Bieniek, T., van Andel, B., and Bø, T.I. (2019). Bidirectional UTM-WGS84 converter for python, Retrieved on February 5, 2019 from https://github.com/Turbo87/utm. -.. [Bieni19] Bieniek, T., van Andel, B., and Bø, T.I. (2019). Bidirectional UTM-WGS84 converter for python, Retrieved on February 5, 2019 from https://github.com/Turbo87/utm. +.. + [CrLo02] Crowl, D.A., and Louvar, J.F. (2011). Chemical Process Safety: Fundamentals with Applications, 3 edition. Upper Saddle River, NJ: Prentice Hall, 720p. -.. [BWMS20] Burkhardt, J. B., Woo, J., Mason, J., Shang, F., Triantafyllidou, S., Schock, M.R., Lytle, D., and Murray, R. (2020). Framework for Modeling Lead in Premise Plumbing Systems Using EPANET. Journal of Water Resources Planning and Management, 146(12). https://doi.org/10.1061/(asce)wr.1943-5452.0001304 PMID:33627937. +.. + [ELLT12] Eto, J.H., LaCommare, K.H., Larsen, P.H., Todd, A., and Fisher, E. (2012). An Examination of Temporal Trends in Electricity Reliability Based on Reports from U.S. Electric Utilities. Lawrence Berkeley National Laboratory Report Number LBNL-5268E. Berkeley, CA: Ernest Orlando Lawrence Berkeley National Laboratory, 68p. -.. [CrLo02] Crowl, D.A., and Louvar, J.F. (2011). Chemical Process Safety: Fundamentals with Applications, 3 edition. Upper Saddle River, NJ: Prentice Hall, 720p. +.. + [JVFM21] Jordahl, K., Van den Bossche, J., Fleischmann, M, McBride, J. and others (2021) geopandas, 10.5281/zenodo.5573592. -.. [ELLT12] Eto, J.H., LaCommare, K.H., Larsen, P.H., Todd, A., and Fisher, E. (2012). An Examination of Temporal Trends in Electricity Reliability Based on Reports from U.S. Electric Utilities. Lawrence Berkeley National Laboratory Report Number LBNL-5268E. Berkeley, CA: Ernest Orlando Lawrence Berkeley National Laboratory, 68p. +.. + [Folium] python-visualization/folium. (n.d.). Retrieved on February 5, 2019 from https://github.com/python-visualization/folium. -.. [GSCL94] Gu, B., Schmitt, J., Chen, Z. Liang, L., and McCarthy, J.F. (1994) Adsorption and desorption of natural organic matter on iron oxide: mechanisms and models. Environmental Science and Technology, 28:38-46. +.. + [GaCl18] Gazoni, E. and Clark, C. (2018) openpyxl - A Python library to read/write Excel 2010 xlsx/xlsm files, Retrieved on May 4, 2018 from https://openpyxl.readthedocs.io. -.. [JVFM21] Jordahl, K., Van den Bossche, J., Fleischmann, M, McBride, J. and others (2021) geopandas, 10.5281/zenodo.5573592. +.. + [HaSS08] Hagberg, A.A., Schult, D.A., and Swart, P.J. (2008). Exploring network structure, dynamics, and function using NetworkX. In Proceedings of the 7th Python in Science Conference (SciPy2008), August 19-24, Pasadena, CA, USA. -.. [Folium] python-visualization/folium. (n.d.). Retrieved on February 5, 2019 from https://github.com/python-visualization/folium. +.. + [Hunt07] Hunter, J.D. (2007). Matplotlib: A 2D graphics environment. Computing in Science and Engineering, 9(3), 90-95. -.. [GaCl18] Gazoni, E. and Clark, C. (2018) openpyxl - A Python library to read/write Excel 2010 xlsx/xlsm files, Retrieved on May 4, 2018 from https://openpyxl.readthedocs.io. +.. + [ICC12] International Code Council. (2011). 2012 International Fire Code, Appendix B - Fire-Flow Requirements for Buildings. Country Club Hills, IL: International Code Council, ISBN: 978-1-60983-046-5. -.. [HaSS08] Hagberg, A.A., Schult, D.A., and Swart, P.J. (2008). Exploring network structure, dynamics, and function using NetworkX. In Proceedings of the 7th Python in Science Conference (SciPy2008), August 19-24, Pasadena, CA, USA. +.. + [JaSr08] Jayaram, N. and Srinivasan, K. (2008). Performance-based optimal design and rehabilitation of water distribution networks using life cycle costing. Water resources research, 44(1). -.. [Hunt07] Hunter, J.D. (2007). Matplotlib: A 2D graphics environment. Computing in Science and Engineering, 9(3), 90-95. +.. + [JCMG11] Joyner, D., Certik, O., Meurer, A., and Granger, B.E. (2012). Open source computer algebra systems, SymPy. ACM Communications in Computer Algebra, 45(4), 225-234. -.. [ICC12] International Code Council. (2011). 2012 International Fire Code, Appendix B - Fire-Flow Requirements for Buildings. Country Club Hills, IL: International Code Council, ISBN: 978-1-60983-046-5. +.. + [Lamb01] Lambert, A. (2001). What do we know about pressure-leakage relationships in distribution systems. Proceedings of the IWA Specialised Conference ‘System Approach to Leakage Control and Water Distribution Systems Management’, Brno, Czech Republic, 2001, May 16-18, 89-96. -.. [JaSr08] Jayaram, N. and Srinivasan, K. (2008). Performance-based optimal design and rehabilitation of water distribution networks using life cycle costing. Water Resources Research, 44(1). +.. + [LWFZ17] Liu, H., Walski, T., Fu, G., Zhang, C. (2017). Failure Impact Analysis of Isolation Valves in a Water Distribution Network. Journal of Water Resources Planning and Management 143(7): 04017019. -.. [JCMG11] Joyner, D., Certik, O., Meurer, A., and Granger, B.E. (2012). Open source computer algebra systems, SymPy. ACM Communications in Computer Algebra, 45(4), 225-234. +.. + [Mcki13] McKinney, W. (2013). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. Sebastopal, CA: O'Reilly Media, 1 edition, 466p. -.. [Lamb01] Lambert, A. (2001). What do we know about pressure-leakage relationships in distribution systems. Proceedings of the IWA Specialised Conference ‘System Approach to Leakage Control and Water Distribution Systems Management’, Brno, Czech Republic, 2001, May 16-18, 89-96. +.. + [NIAC09] National Infrastructure Advisory Council (NIAC). (2009). Critical Infrastructure Resilience, Final Report and Recommendations, U.S. Department of Homeland Security, Washington, D.C., Accessed September 20, 2014. http://www.dhs.gov/xlibrary/assets/niac/niac_critical_infrastructure_resilience.pdf. -.. [LWFZ17] Liu, H., Walski, T., Fu, G., Zhang, C. (2017). Failure Impact Analysis of Isolation Valves in a Water Distribution Network. Journal of Water Resources Planning and Management 143(7): 04017019. +.. + [OsKS02] Ostfeld, A., Kogan, D., and Shamir, U. (2002). Reliability simulation of water distribution systems - single and multiquality. Urban Water, 4(1), 53-61. -.. [Mcki13] McKinney, W. (2013). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. Sebastopal, CA: O'Reilly Media, 1 edition, 466p. +.. + [Ross00] Rossman, L.A. (2000). EPANET 2 Users Manual. Cincinnati, OH: U.S. Environmental Protection Agency. U.S. Environmental Protection Agency Technical Report, EPA/600/R--00/057, 200p. -.. [NIAC09] National Infrastructure Advisory Council (NIAC). (2009). Critical Infrastructure Resilience, Final Report and Recommendations, U.S. Department of Homeland Security, Washington, D.C., Accessed September 20, 2014. http://www.dhs.gov/xlibrary/assets/niac/niac_critical_infrastructure_resilience.pdf. +.. + [rtree] Toblerity/rtree. (n.d.). Retrieved on March 17, 2022 from https://github.com/Toblerity/rtree. -.. [OsKS02] Ostfeld, A., Kogan, D., and Shamir, U. (2002). Reliability simulation of water distribution systems - single and multiquality. Urban Water, 4(1), 53-61. +.. + [RWTS20] Rossman, L., Woo, H., Tryby M., Shang, F., Janke, R., and Haxton, T. (2020) EPANET 2.2 User Manual. U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-20/133. -.. [Ross00] Rossman, L.A. (2000). EPANET 2 Users Manual. Cincinnati, OH: U.S. Environmental Protection Agency. U.S. Environmental Protection Agency Technical Report, EPA/600/R--00/057, 200p. +.. + [SOKZ12] Salomons, E., Ostfeld, A., Kapelan, Z., Zecchin, A., Marchi, A., and Simpson, A. (2012). The battle of the water networks II - Problem description. Water Distribution Systems Analysis Conference 2012, September 24-27, Adelaide, South Australia, Australia. Retrieved on May 23, 2017 from https://emps.exeter.ac.uk/media/universityofexeter/emps/research/cws/downloads/WDSA2012-BWNII-ProblemDescription.pdf. -.. [rtree] Toblerity/rtree. (n.d.). Retrieved on March 17, 2022 from https://github.com/Toblerity/rtree. +.. + [SPHC16] Sievert, C., Parmer, C., Hocking, T., Chamberlain, S., Ram, K., Corvellec, M., and Despouy, P. (2016). plotly: Create interactive web graphics via Plotly’s JavaScript graphing library [Software]. -.. [RWTS20] Rossman, L., Woo, H., Tryby M., Shang, F., Janke, R., and Haxton, T. (2020) EPANET 2.2 User Manual. U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-20/133. +.. + [Todi00] Todini, E. (2000). Looped water distribution networks design using a resilience index based heuristic approach. Urban Water, 2(2), 115-122. -.. [SOKZ12] Salomons, E., Ostfeld, A., Kapelan, Z., Zecchin, A., Marchi, A., and Simpson, A. (2012). The battle of the water networks II - Problem description. Water Distribution Systems Analysis Conference 2012, September 24-27, Adelaide, South Australia, Australia. Retrieved on May 23, 2017 from https://emps.exeter.ac.uk/media/universityofexeter/emps/research/cws/downloads/WDSA2012-BWNII-ProblemDescription.pdf. +.. + [USEPA14] United States Environmental Protection Agency. (2014). Systems Measures of Water Distribution System Resilience. Washington DC: U.S. Environmental Protection Agency. U.S. Environmental Protection Agency Technical Report, EPA 600/R--14/383, 58p. -.. [SPHC16] Sievert, C., Parmer, C., Hocking, T., Chamberlain, S., Ram, K., Corvellec, M., and Despouy, P. (2016). plotly: Create interactive web graphics via Plotly’s JavaScript graphing library [Software]. +.. + [USEPA15] United States Environmental Protection Agency. (2015). Water Security Toolkit User Manual. Washington DC: U.S. Environmental Protection Agency. U.S. Environmental Protection Agency Technical Report, EPA/600/R-14/338, 187p. -.. [SRU23] Shang, F., Rossman, L. A., and Uber, J.G. (2023). EPANET-MSX 2.0 User Manual. U.S. Environmental Protection Agency, Cincinnati, OH. EPA/600/R-22/199. +.. + [VaCV11] van der Walt, S., Colbert, S.C., and Varoquaux, G. (2011). The NumPy array: A structure for efficient numerical computation. Computing in Science and Engineering, 13, 22-30. -.. [Todi00] Todini, E. (2000). Looped water distribution networks design using a resilience index based heuristic approach. Urban Water, 2(2), 115-122. +.. + [WaSM88] Wagner, J.M., Shamir, U., and Marks, D.H. (1988). Water distribution reliability: Simulation methods. Journal of Water Resources Planning and Management, 114(3), 276-294. -.. [USEPA14] United States Environmental Protection Agency. (2014). Systems Measures of Water Distribution System Resilience. Washington DC: U.S. Environmental Protection Agency. U.S. Environmental Protection Agency Technical Report, EPA 600/R--14/383, 58p. +.. + [WaWC06] Walski, T., Weiler, J. Culver, T. (2006). Using Criticality Analysis to Identify Impact of Valve Location. Water Distribution Systems Analysis Symposium. Cincinnati, OH, American Society of Civil Engineers: 1-9. -.. [USEPA15] United States Environmental Protection Agency. (2015). Water Security Toolkit User Manual. Washington DC: U.S. Environmental Protection Agency. U.S. Environmental Protection Agency Technical Report, EPA/600/R-14/338, 187p. +.. + [WWQP06] Wald, D.J., Worden, B.C., Quitoriano, V., and Pankow, K.L. (2006). ShakeMap manual: Technical manual, user's guide, and software guide. United States Geologic Survey, Retrieved on April 25, 2017 from http://pubs.usgs.gov/tm/2005/12A01/. -.. [VaCV11] van der Walt, S., Colbert, S.C., and Varoquaux, G. (2011). The NumPy array: A structure for efficient numerical computation. Computing in Science and Engineering, 13, 22-30. +.. + [WCSG03] Walski, T.M., Chase, D.V., Savic, D.A., Grayman, W., Beckwith, S. (2003). Advanced Water Distribution Modeling and Management. HAESTAD Press, Waterbury, CT, 800. -.. [WaSM88] Wagner, J.M., Shamir, U., and Marks, D.H. (1988). Water distribution reliability: Simulation methods. Journal of Water Resources Planning and Management, 114(3), 276-294. +.. raw:: html -.. [WaWC06] Walski, T., Weiler, J. Culver, T. (2006). Using Criticality Analysis to Identify Impact of Valve Location. Water Distribution Systems Analysis Symposium. Cincinnati, OH, American Society of Civil Engineers: 1-9. +
-.. [WWQP06] Wald, D.J., Worden, B.C., Quitoriano, V., and Pankow, K.L. (2006). ShakeMap manual: Technical manual, user's guide, and software guide. United States Geologic Survey, Retrieved on April 25, 2017 from http://pubs.usgs.gov/tm/2005/12A01/. +.. bibliography:: -.. [WCSG03] Walski, T.M., Chase, D.V., Savic, D.A., Grayman, W., Beckwith, S. (2003). Advanced Water Distribution Modeling and Management. HAESTAD Press, Waterbury, CT, 693p. -.. [*] Cross reference labels begins with 4 letters: +.. raw:: latex - * If the citation has one author, the first 4 letters of name are used - * If the citation has two authors, the first 2 letters of author 1 and first 2 letters of author 2 are used - * If the citation has three authors, the first 2 letters of author 1, first letter of author 2, and first letter of author 3 are used - * If the citation has four authors, the first letter of each author is used - * If the citation has more than four authors, the first letter of first four authors is used - * Exceptions are made for American Lifelines Alliance (ALA) and United States Environmental Protection Agency (USEPA) - - The next two digits are the year (century ignored). - If the 6 digits match another citation, a lower case letter (a, b, ...) is added. - Cross reference notation will be updated to a standard format when better options come available. + \end{thebibliography} + \endgroup diff --git a/wntr/epanet/__init__.py b/wntr/epanet/__init__.py index daea1f9c1..2024a4aae 100644 --- a/wntr/epanet/__init__.py +++ b/wntr/epanet/__init__.py @@ -3,6 +3,5 @@ """ from .io import InpFile #, BinFile, HydFile, RptFile from .util import FlowUnits, MassUnits, HydParam, QualParam, EN -import wntr.epanet.toolkit as toolkit -import wntr.epanet.exceptions as exceptions +from . import toolkit, io, util, exceptions import wntr.epanet.msx as msx \ No newline at end of file diff --git a/wntr/epanet/exceptions.py b/wntr/epanet/exceptions.py index 1a4200128..6442a0706 100644 --- a/wntr/epanet/exceptions.py +++ b/wntr/epanet/exceptions.py @@ -1,8 +1,5 @@ # coding: utf-8 -""" -The wntr.epanet.expections module contains Exceptions for EPANET toolkit -and IO operations. -""" +"""Exceptions for EPANET toolkit and IO operations.""" from typing import List @@ -85,7 +82,7 @@ 309: "cannot save results to report file %s", } """A dictionary of the error codes and their meanings from the EPANET toolkit. -Please see :doc:`/errors` for tables of these values. +Please see :doc:`/errors` for descriptions of these values. :meta hide-value: """ diff --git a/wntr/network/options.py b/wntr/network/options.py index 8daa855f2..3d1d086a5 100644 --- a/wntr/network/options.py +++ b/wntr/network/options.py @@ -1,21 +1,12 @@ """ The wntr.network.options module includes simulation options. -.. rubric:: Classes - -.. autosummary:: - :nosignatures: - - Options - TimeOptions - GraphicsOptions - HydraulicOptions - ReportOptions - ReactionOptions - QualityOptions - EnergyOptions - UserOptions +.. note:: + This module has been changed in version 0.2.3 to incorporate the new options + that EPANET 2.2 requires. It also reorganizes certain options to better align + with EPANET nomenclature. This change is not backwards compatible, particularly + when trying to use pickle files with older options. """ import re import logging From 853536e87fbae1d56ad3db2f29771498e8fd41d9 Mon Sep 17 00:00:00 2001 From: dbhart Date: Fri, 17 Nov 2023 11:42:08 -0700 Subject: [PATCH 055/118] Final conflict --- wntr/epanet/__init__.py | 1 - 1 file changed, 1 deletion(-) diff --git a/wntr/epanet/__init__.py b/wntr/epanet/__init__.py index 2024a4aae..38953580e 100644 --- a/wntr/epanet/__init__.py +++ b/wntr/epanet/__init__.py @@ -4,4 +4,3 @@ from .io import InpFile #, BinFile, HydFile, RptFile from .util import FlowUnits, MassUnits, HydParam, QualParam, EN from . import toolkit, io, util, exceptions -import wntr.epanet.msx as msx \ No newline at end of file From 7ea6a6ede32b4a97b4985367d5f196b6bd8b5558 Mon Sep 17 00:00:00 2001 From: Katherine Klise Date: Tue, 12 Dec 2023 16:06:34 -0800 Subject: [PATCH 056/118] Updates to msx docs --- documentation/advancedsim.rst | 2 +- documentation/waterquality_msx.rst | 37 ++++++++++++------- .../example.msx => data/Net3_arsenic.msx} | 4 +- examples/msx/example.inp | 36 ------------------ 4 files changed, 27 insertions(+), 52 deletions(-) rename examples/{msx/example.msx => data/Net3_arsenic.msx} (97%) delete mode 100644 examples/msx/example.inp diff --git a/documentation/advancedsim.rst b/documentation/advancedsim.rst index 1944c9c70..cb295bdd3 100644 --- a/documentation/advancedsim.rst +++ b/documentation/advancedsim.rst @@ -281,7 +281,7 @@ reference. ... """J. B. Burkhardt, et al. (2020) https://doi.org/10.1061/(asce)wr.1943-5452.0001304""" ... ) >>> msx - MultispeciesQualityModel(name='lead_ppm') + MsxModel(name='lead_ppm') Model options are added as follows: diff --git a/documentation/waterquality_msx.rst b/documentation/waterquality_msx.rst index d6314097c..3ffcf6145 100644 --- a/documentation/waterquality_msx.rst +++ b/documentation/waterquality_msx.rst @@ -8,10 +8,10 @@ >>> import wntr >>> try: ... wn = wntr.network.model.WaterNetworkModel('../examples/networks/Net3.inp') - ... msx_filename = '../examples/data/something.msx' + ... wn.msx = wntr.msx.MsxModel('../examples/data/Net3_arsenic.msx') ... except: ... wn = wntr.network.model.WaterNetworkModel('examples/networks/Net3.inp') - ... msx_filename = 'examples/data/something.msx' + ... wn.msx = wntr.msx.MsxModel('examples/data/Net3_arsenic.msx') .. _msx_water_quality: @@ -28,11 +28,13 @@ In this example, the MsxModel is created from a MSX file (see [SRU23]_ for more .. doctest:: - >>> msx_filename = 'data/something.msx') # doctest: +SKIP - >>> wn.msx = wntr.msx.MsxModel(msx_filename) + >>> import wntr # doctest: +SKIP + + >>> wn = wntr.network.WaterNetworkModel('networks/Net3.inp') # doctest: +SKIP + >>> wn.msx = wntr.msx.MsxModel('data/Net3_arsenic.msx') # doctest: +SKIP + >>> sim = wntr.sim.EpanetSimulator(wn) >>> results = sim.run_sim() -[TODO add an msx file that uses Net3 to the examples folder for documentation examples] The results include a quality value for each node, link, and species (see :ref:`simulation_results` for more details). @@ -74,20 +76,29 @@ Examples that illustrate how to build MSX models in WNTR are included in :ref:`a Reaction library ----------------- -WNTR also contains a library of MSX models that are accessed through the :class:`~wntr.msx.library.ReactionLibrary`. +WNTR also contains a library of MSX models that are accessed through the +:class:`~wntr.msx.library.ReactionLibrary`. This includes the following models: -* `Arsenic Chloramine model `_ [SRU23]_ -* `Lead Plumbosolvency model `_ [BWMS20]_ -[TODO change the 2 links to usepa, add other models if they are referenced] +* `Arsenic oxidation/adsorption `_ [SRU23]_ +* `Batch chloramine decay `_ +* `Lead plumbosolvency `_ [BWMS20]_ +* `Nicotine/chlorine reaction `_ +* `Nicotine/chlorine reaction with reactive intermediate `_ The models are stored in JSON format. Additional models can be loaded into the library by setting a user specified path. -Additional models could also be added to the WNTR Reactions library. +Additional models could also be added directly to the WNTR Reactions library. -The following example loads a MsxModel from the ReactionLibrary. +The following example loads the Lead plumbosolvency model (lead_ppm) from the ReactionLibrary. .. doctest:: - >>> msx_model = ... -[TODO finish this example] + >>> reaction_library = wntr.msx.library.ReactionLibrary() + + >>> print(reaction_library.model_name_list()) + ['arsenic_chloramine', 'batch_chloramine_decay', 'lead_ppm', 'nicotine', 'nicotine_ri'] + + >>> lead_ppm = reaction_library.get_model("lead_ppm") + >>> print(lead_ppm) + MsxModel(name='lead_ppm') diff --git a/examples/msx/example.msx b/examples/data/Net3_arsenic.msx similarity index 97% rename from examples/msx/example.msx rename to examples/data/Net3_arsenic.msx index b20e0854b..2b7cb2a81 100644 --- a/examples/msx/example.msx +++ b/examples/data/Net3_arsenic.msx @@ -46,8 +46,8 @@ Arsenic Oxidation/Adsorption Example [QUALITY] ;Initial conditions (= 0 if not specified here) - NODE Source AS3 10.0 - NODE Source NH2CL 2.5 + NODE River AS3 10.0 + NODE River NH2CL 2.5 [REPORT] NODES C D ;Report results for nodes C and D diff --git a/examples/msx/example.inp b/examples/msx/example.inp deleted file mode 100644 index 0887e00db..000000000 --- a/examples/msx/example.inp +++ /dev/null @@ -1,36 +0,0 @@ -[TITLE] -EPANET-MSX Example Network - -[JUNCTIONS] -;ID Elev Demand Pattern - A 0 4.1 - B 0 3.4 - C 0 5.5 - D 0 2.3 - -[RESERVOIRS] -;ID Head Pattern - Source 100 - -[PIPES] -;ID Node1 Node2 Length Diameter Roughness - 1 Source A 1000 200 100 - 2 A B 800 150 100 - 3 A C 1200 200 100 - 4 B C 1000 150 100 - 5 C D 2000 150 100 - -[TIMES] - Duration 48 - Hydraulic Timestep 1:00 - Quality Timestep 0:05 - Report Timestep 2 - Report Start 0 - Statistic NONE - -[OPTIONS] - Units CMH - Headloss H-W - Quality NONE - -[END] From 48a6faf07b025caef1d03f9dc7e6ec79f4c9bc75 Mon Sep 17 00:00:00 2001 From: dbhart Date: Thu, 14 Dec 2023 10:50:24 -0700 Subject: [PATCH 057/118] Fixing typos --- documentation/citations.bib | 4 ++-- documentation/references.bib | 15 +++++++++++++-- documentation/userguide.rst | 1 + documentation/wntr-api.rst | 1 + 4 files changed, 17 insertions(+), 4 deletions(-) diff --git a/documentation/citations.bib b/documentation/citations.bib index 6e5b3eef6..d0a2c6b4c 100644 --- a/documentation/citations.bib +++ b/documentation/citations.bib @@ -198,7 +198,7 @@ @article{mazumder2022 number = "5", pages = "728--743", year = "2022", - publisher = "Taylor \\& Francis", + publisher = "Taylor \& Francis", doi = "10.1080/15732479.2020.1864415" } @@ -259,7 +259,7 @@ @article{nikolopoulos2020b number = "3", pages = "256--270", year = "2022", - publisher = "Taylor \\& Francis", + publisher = "Taylor \& Francis", doi = "10.1080/1573062X.2021.1995446" } diff --git a/documentation/references.bib b/documentation/references.bib index 40f09982c..e07d3450c 100644 --- a/documentation/references.bib +++ b/documentation/references.bib @@ -23,7 +23,7 @@ @article{barr13 author = "Barker, Kash and Ramirez-Marquez, Jose Emmanuel and Rocco, Claudio M.", doi = "10.1016/j.ress.2013.03.012", issn = "0951-8320", - journal = "Reliability Engineering \\& System Safety", + journal = "Reliability Engineering \& System Safety", pages = "89--97", title = "Resilience-based network component importance measures", volume = "117", @@ -92,7 +92,7 @@ @inproceedings{hass08 @article{hunt07, author = "Hunter, John D. and others", doi = "10.1109/MCSE.2007.55", - journal = "Computing in Science \\& Engineering", + journal = "Computing in Science \& Engineering", number = "3", pages = "90--95", title = "Matplotlib: A {2D} Graphics Environment", @@ -250,6 +250,17 @@ @misc{sphc16 optcomment = "modified from below preferred citation, per Plotly" } +@techreport{shang2023, + author = "Shang, F. and Rossman, L. and Uber, J.", + institution = "U.S. Environmental Protection Agency", + title = "{EPANET}-{MSX} 2.0 User Manual", + year = "2023", + address = "Cincinnati, OH", + number = "EPA/600/R--22/199", + url = "https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=358205&Lab=CESER", + urldate = "2023-11-17", +} + @article{todi00, author = "Todini, Ezio", doi = "10.1016/S1462-0758(00)00049-2", diff --git a/documentation/userguide.rst b/documentation/userguide.rst index fa4c7d302..023e35285 100644 --- a/documentation/userguide.rst +++ b/documentation/userguide.rst @@ -55,6 +55,7 @@ U.S. Department of Energy's National Nuclear Security Administration under contr hydraulics waterquality + waterquality_msx resultsobject .. toctree:: diff --git a/documentation/wntr-api.rst b/documentation/wntr-api.rst index f3fc7c4c1..27a6b7d71 100644 --- a/documentation/wntr-api.rst +++ b/documentation/wntr-api.rst @@ -21,6 +21,7 @@ API documentation wntr.graphics wntr.metrics wntr.morph + wntr.msx wntr.network wntr.scenario wntr.sim From 08b60b7e3705d1f1864071ecb461200e54a7fdc8 Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 18 Dec 2023 10:04:52 -0700 Subject: [PATCH 058/118] Adding MSX binary files and updating .gitignore --- .gitignore | 84 ++++++++++++++++++++++++-- wntr/epanet/Darwin/libepanet2.dylib | Bin 0 -> 309136 bytes wntr/epanet/Darwin/libepanetmsx.dylib | Bin 0 -> 249696 bytes wntr/epanet/Linux/libepanet2.so | Bin 0 -> 400624 bytes wntr/epanet/Linux/libepanetmsx.so | Bin 0 -> 225256 bytes wntr/epanet/Windows/epanet2.lib | Bin 22614 -> 50330 bytes wntr/epanet/Windows/epanetmsx.lib | Bin 0 -> 7182 bytes 7 files changed, 78 insertions(+), 6 deletions(-) create mode 100755 wntr/epanet/Darwin/libepanet2.dylib create mode 100755 wntr/epanet/Darwin/libepanetmsx.dylib create mode 100644 wntr/epanet/Linux/libepanet2.so create mode 100644 wntr/epanet/Linux/libepanetmsx.so create mode 100644 wntr/epanet/Windows/epanetmsx.lib diff --git a/.gitignore b/.gitignore index 01ebf9a57..8a88191db 100644 --- a/.gitignore +++ b/.gitignore @@ -1,24 +1,96 @@ +# Developer IDE directories /.project -/.spyproject -_build/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# VS Code project settings +*.code-workspace +/.vscode + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Distribution / packaging +.Python build/ -wntr.egg-info/ +develop-eggs/ dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg docker/ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +.hypothesis/ +.pytest_cache/ + +# Mac cleanup +**/.DS_Store + +# Other items / test output +temp* *.pyd *.pyc *.egg 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zyhwXBPeI}*MI9{fy$T3&RC20)>h1fB5UpIIS%)wkPSbK&#eg{UC}{70SNtQ9l1o7| zzZ_+Ueg3m^U<}_o{Ws_)JKv7S&dl1BW)S;<>`eRp@c3VJJ+6?5=3%^0q-U~`CU;%? z7ca_q3pUvhS&E;13&nC^`305Hi^TGk78bug=wOttzD{SgOBE}oD2wYAH1^$IpPHuSki`K9=Kb@=6O+We4R)-@!@LfB zc<0m8zY-rdO2o&+hYoo?(DKnAl-Km#(fWp^ty}&q<$zN@|EC`ar%A!tuJ^2KIqa4b l=iV%RYm(Tond8t$kpgGq@D^#k_~CtuzZQm~d~DIN{sRGkOX~mt literal 0 HcmV?d00001 From 263b9d6d7bbf5023223ca00effda4bb09a7cc2bf Mon Sep 17 00:00:00 2001 From: dbhart Date: Mon, 18 Dec 2023 11:17:37 -0700 Subject: [PATCH 059/118] Update dll paths --- wntr/epanet/msx/toolkit.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py index e7ffdd78e..aad3a4745 100644 --- a/wntr/epanet/msx/toolkit.py +++ b/wntr/epanet/msx/toolkit.py @@ -25,10 +25,10 @@ epanet_toolkit = "wntr.epanet.toolkit" if os.name in ["nt", "dos"]: - libepanet = resource_filename(__name__, "../Windows/epanet2.dll") - libmsx = resource_filename(__name__, "../Windows/epanetmsx.dll") + libepanet = resource_filename(__name__, "../Windows/epanet2.lib") + libmsx = resource_filename(__name__, "../Windows/epanetmsx.lib") elif sys.platform in ["darwin"]: - libepanet = resource_filename(__name__, "../Darwin/libepanet.dylib") + libepanet = resource_filename(__name__, "../Darwin/libepanet2.dylib") libmsx = resource_filename(__name__, "../Darwin/libepanetmsx.dylib") else: libepanet = resource_filename(__name__, "../Linux/libepanet2.so") From 1709f1f39957171cc8fa40c9206d079e044287f2 Mon Sep 17 00:00:00 2001 From: dbhart Date: Tue, 19 Dec 2023 09:04:45 -0700 Subject: [PATCH 060/118] Updating tests...ish --- wntr/epanet/msx/toolkit.py | 9 +++++++-- wntr/tests/test_epanet_msx_io.py | 7 ++++--- 2 files changed, 11 insertions(+), 5 deletions(-) diff --git a/wntr/epanet/msx/toolkit.py b/wntr/epanet/msx/toolkit.py index aad3a4745..31574c6fb 100644 --- a/wntr/epanet/msx/toolkit.py +++ b/wntr/epanet/msx/toolkit.py @@ -34,6 +34,11 @@ libepanet = resource_filename(__name__, "../Linux/libepanet2.so") libmsx = resource_filename(__name__, "../Linux/libepanetmsx.so") +dylib_dir = os.environ.get('DYLD_FALLBACK_LIBRARY_PATH','') +if dylib_dir != '': + dylib_dir = dylib_dir + ':' + resource_filename(__name__, "../Darwin") + os.environ['DYLD_FALLBACK_LIBRARY_PATH'] = dylib_dir + import logging logger = logging.getLogger(__name__) @@ -61,9 +66,9 @@ def __init__(self, inpfile="", rptfile="", binfile="", msxfile=""): self.binfile = binfile self.msxfile = msxfile - libnames = ["epanetmsx", "epanetmsx_win32"] + libnames = ["epanetmsx"] if "64" in platform.machine(): - libnames.insert(0, "epanetmsx_amd64") + libnames.insert(0, "epanetmsx") if msx_toolkit: for lib in libnames: try: diff --git a/wntr/tests/test_epanet_msx_io.py b/wntr/tests/test_epanet_msx_io.py index 74d222798..793e2d381 100644 --- a/wntr/tests/test_epanet_msx_io.py +++ b/wntr/tests/test_epanet_msx_io.py @@ -29,10 +29,11 @@ def test_msx_io(self): wntr.epanet.InpFile().write("test.inp", wn_model) wntr.epanet.msx.MsxFile().write("test.msx", msx_model) msx_model2 = wntr.msx.MsxModel(msx_file_name="test.msx") - true_vars = ["AS3", "AS5", "AS5s", "AStot", "Av", "D", "Ff", "K1", "K2", "Ka", "Kb", "Kc", "Ks", "Len", "NH2CL", "Q", "Re", "Smax", "U", "Us"] - in_vars = msx_model.variable_name_list + true_vars = ["AS3", "AS5", "AS5s", "AStot", "NH2CL", "Ka", "Kb", "K1", "K2", "Smax", "Ks"] + true_vars.sort() + in_vars = msx_model.species_name_list + msx_model.constant_name_list + msx_model.parameter_name_list + msx_model.term_name_list in_vars.sort() - io_vars = msx_model2.variable_name_list + io_vars = msx_model2.species_name_list + msx_model2.constant_name_list + msx_model2.parameter_name_list + msx_model2.term_name_list io_vars.sort() self.assertListEqual(true_vars, in_vars) self.assertListEqual(true_vars, io_vars) From 6b146c5f3fc0b01600825c8d67f2ddbe60bf9cff Mon Sep 17 00:00:00 2001 From: David Hart Date: Mon, 12 Feb 2024 08:01:29 -0700 Subject: [PATCH 061/118] MSX binaries update --- wntr/epanet/Windows/EN2setup.exe | Bin 1584021 -> 0 bytes wntr/epanet/Windows/epanet2.bas | 194 ---------------------- wntr/epanet/Windows/epanet2.def | 58 ------- wntr/epanet/Windows/epanet2.dll | Bin 217088 -> 262656 bytes wntr/epanet/Windows/epanet2.lib | Bin 50330 -> 0 bytes wntr/epanet/Windows/epanet2.pas | 264 ------------------------------ wntr/epanet/Windows/epanetmsx.dll | Bin 0 -> 147456 bytes wntr/epanet/Windows/epanetmsx.lib | Bin 7182 -> 0 bytes 8 files changed, 516 deletions(-) delete mode 100644 wntr/epanet/Windows/EN2setup.exe delete mode 100644 wntr/epanet/Windows/epanet2.bas delete mode 100644 wntr/epanet/Windows/epanet2.def delete mode 100644 wntr/epanet/Windows/epanet2.lib delete mode 100644 wntr/epanet/Windows/epanet2.pas create mode 100644 wntr/epanet/Windows/epanetmsx.dll delete mode 100644 wntr/epanet/Windows/epanetmsx.lib diff --git a/wntr/epanet/Windows/EN2setup.exe b/wntr/epanet/Windows/EN2setup.exe 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10:34:43 -0700 Subject: [PATCH 062/118] Updates to documentation configuration --- documentation/_templates/autosummary/base.rst | 3 +- .../_templates/autosummary/class.rst | 6 ++-- .../_templates/autosummary/exception.rst | 6 ++-- documentation/conf.py | 12 +++---- wntr/epanet/msx/enums.py | 36 +++++++++---------- 5 files changed, 34 insertions(+), 29 deletions(-) diff --git a/documentation/_templates/autosummary/base.rst b/documentation/_templates/autosummary/base.rst index 667f19687..52bf10b46 100644 --- a/documentation/_templates/autosummary/base.rst +++ b/documentation/_templates/autosummary/base.rst @@ -4,7 +4,8 @@ {{ objname | escape | underline}} -.. rubric:: *module* :mod:`{{ module }}` +.. + rubric:: *module* :mod:`{{ module }}` .. currentmodule:: {{ module }} diff --git a/documentation/_templates/autosummary/class.rst b/documentation/_templates/autosummary/class.rst index 9e9adf167..757961130 100644 --- a/documentation/_templates/autosummary/class.rst +++ b/documentation/_templates/autosummary/class.rst @@ -1,10 +1,12 @@ {{ objname | escape | underline}} -.. rubric:: *module* :mod:`{{ module }}` +.. + rubric:: *module* :mod:`{{ module }}` .. currentmodule:: {{ module }} -.. autoclass:: {{ objname }} +.. autoclass:: {{ fullname }} + :exclude-members: __new__ {% block methods %} {% if methods %} diff --git a/documentation/_templates/autosummary/exception.rst b/documentation/_templates/autosummary/exception.rst index 8d05ab977..e3504e253 100644 --- a/documentation/_templates/autosummary/exception.rst +++ b/documentation/_templates/autosummary/exception.rst @@ -1,11 +1,13 @@ {{ objname | escape | underline}} -.. rubric:: *module* :mod:`{{ module }}` +.. + rubric:: *module* :mod:`{{ module }}` .. currentmodule:: {{ module }} -.. autoexception:: {{ objname }} +.. autoexception:: {{ fullname }} :no-inherited-members: + :exclude-members: __new__ {% block methods %} {% if methods %} diff --git a/documentation/conf.py b/documentation/conf.py index 0fc5bf7c2..71ca52f48 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -45,7 +45,7 @@ ] add_function_parentheses = True -add_module_names = False +add_module_names = True python_display_short_literal_types = True toc_object_entries = True @@ -53,7 +53,7 @@ napoleon_google_docstring = True napoleon_numpy_docstring = True -napoleon_include_init_with_doc = True +napoleon_include_init_with_doc = False napoleon_include_private_with_doc = False napoleon_include_special_with_doc = False napoleon_use_admonition_for_examples = False @@ -69,7 +69,7 @@ # viewcode_import = False autodoc_default_options = { - 'undoc-members': True, + 'undoc-members': False, 'private-members': False, 'special-members': False, 'inherited-members': True, @@ -77,13 +77,13 @@ 'member-order': 'groupwise', } -autodoc_class_signature = 'separated' +autodoc_class_signature = 'mixed' autodoc_typehints = 'description' autodoc_typehints_format = 'short' autodoc_typehints_description_target = 'documented' -autodoc_type_aliases = {'DataFrame': 'pandas DataFrame',} +autodoc_type_aliases = {'DataFrame': 'pandas.DataFrame',} -autoclass_content = 'class' +autoclass_content = 'both' numfig=True numfig_format = {'figure': 'Figure %s', 'table': 'Table %s', 'code-block': 'Listing %s'} diff --git a/wntr/epanet/msx/enums.py b/wntr/epanet/msx/enums.py index 73d7134fc..b5e67ae78 100644 --- a/wntr/epanet/msx/enums.py +++ b/wntr/epanet/msx/enums.py @@ -9,7 +9,7 @@ @add_get(prefix='MSX_') class TkObjectType(IntEnum): - """Enumeration for object type used in EPANET-MSX. + r"""Enumeration for object type used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -52,7 +52,7 @@ class TkObjectType(IntEnum): @add_get(prefix='MSX_') class TkSourceType(IntEnum): - """Enumeration for source type used in EPANET-MSX. + r"""Enumeration for source type used in EPANET-MSX. .. warning:: These enum values start with -1. @@ -82,7 +82,7 @@ class TkSourceType(IntEnum): @add_get(prefix='MSX_') class TkUnitSystem(IntEnum): - """Enumeration for the units system used in EPANET-MSX. + r"""Enumeration for the units system used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -103,7 +103,7 @@ class TkUnitSystem(IntEnum): @add_get(prefix='MSX_') class TkFlowUnits(IntEnum): - """Enumeration for the flow units used in EPANET-MSX (determined from + r"""Enumeration for the flow units used in EPANET-MSX (determined from EPANET INP file read in with the toolkit). .. warning:: These enum values start with 0. @@ -149,7 +149,7 @@ class TkFlowUnits(IntEnum): @add_get(prefix='MSX_') class TkMixType(IntEnum): - """Enumeration for the mixing model used in EPANET-MSX. + r"""Enumeration for the mixing model used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -176,7 +176,7 @@ class TkMixType(IntEnum): @add_get(prefix='MSX_') class TkSpeciesType(IntEnum): - """Enumeration for species type used in EPANET-MSX. + r"""Enumeration for species type used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -197,7 +197,7 @@ class TkSpeciesType(IntEnum): @add_get(prefix='MSX_') class TkExpressionType(IntEnum): - """Enumeration for the expression type used in EPANET-MSX. + r"""Enumeration for the expression type used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -224,7 +224,7 @@ class TkExpressionType(IntEnum): @add_get(prefix='MSX_') class TkSolverType(IntEnum): - """Enumeration for the solver type used in EPANET-MSX. + r"""Enumeration for the solver type used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -248,7 +248,7 @@ class TkSolverType(IntEnum): @add_get(prefix='MSX_') class TkCouplingType(IntEnum): - """Enumeration for the coupling type option used in EPANET-MSX. + r"""Enumeration for the coupling type option used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -269,7 +269,7 @@ class TkCouplingType(IntEnum): @add_get(prefix='MSX_') class TkMassUnits(IntEnum): - """Enumeration for mass units used in EPANET-MSX. + r"""Enumeration for mass units used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -296,7 +296,7 @@ class TkMassUnits(IntEnum): @add_get(prefix='MSX_') class TkAreaUnits(IntEnum): - """Enumeration for area units used in EPANET-MSX. + r"""Enumeration for area units used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -320,7 +320,7 @@ class TkAreaUnits(IntEnum): @add_get(prefix='MSX_') class TkRateUnits(IntEnum): - """Enumeration for rate units used in EPANET-MSX. + r"""Enumeration for rate units used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -347,7 +347,7 @@ class TkRateUnits(IntEnum): @add_get(prefix='MSX_') class TkUnits(IntEnum): - """Position for units used in EPANET-MSX. + r"""Position for units used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -384,7 +384,7 @@ class TkUnits(IntEnum): @add_get(prefix='MSX_') class TkHydVar(IntEnum): - """Enumeration for hydraulic variable used in EPANET-MSX. + r"""Enumeration for hydraulic variable used in EPANET-MSX. .. warning:: These enum values start with 0. @@ -427,7 +427,7 @@ class TkHydVar(IntEnum): @add_get(prefix='MSX_') class TkTstat(IntEnum): - """Enumeration used for time statistic in EPANET-MSX. + r"""Enumeration used for time statistic in EPANET-MSX. .. warning:: These enum values start with 0. @@ -457,7 +457,7 @@ class TkTstat(IntEnum): @add_get(prefix='MSX_') class TkOption(IntEnum): - """Enumeration used for choosing an option in EPANET-MSX toolkit. + r"""Enumeration used for choosing an option in EPANET-MSX toolkit. .. warning:: These enum values start with 0. @@ -502,7 +502,7 @@ class TkOption(IntEnum): @add_get(prefix='MSX_') class TkCompiler(IntEnum): - """Enumeration used for specifying compiler options in EPANET-MSX. + r"""Enumeration used for specifying compiler options in EPANET-MSX. .. warning:: These enum values start with 0. @@ -526,7 +526,7 @@ class TkCompiler(IntEnum): @add_get(prefix='MSX_') class TkFileMode(IntEnum): - """Enumeration for file model used in EPANET-MSX. + r"""Enumeration for file model used in EPANET-MSX. .. warning:: These enum values start with 0. From 63d782a86ad663e5bff1792d56d341ef9138a1f7 Mon Sep 17 00:00:00 2001 From: David Hart Date: Wed, 13 Mar 2024 10:43:20 -0600 Subject: [PATCH 063/118] Fix toolkit problems. * Updated MSX binaries, PR issued to EPANETMSX main * Updated toolkit to match modified code in MSX DLL * Fixed an error in the filename encoding --- examples/data/Net3_arsenic.msx | 4 +-- wntr/epanet/Windows/epanet2.dll | Bin 262656 -> 418304 bytes wntr/epanet/Windows/epanetmsx.dll | Bin 147456 -> 345600 bytes wntr/epanet/__init__.py | 2 +- wntr/epanet/msx/toolkit.py | 47 ++++++++++++++++++++++++++++-- wntr/sim/epanet.py | 2 +- 6 files changed, 48 insertions(+), 7 deletions(-) diff --git a/examples/data/Net3_arsenic.msx b/examples/data/Net3_arsenic.msx index 2b7cb2a81..bb01238ae 100644 --- a/examples/data/Net3_arsenic.msx +++ b/examples/data/Net3_arsenic.msx @@ -50,8 +50,8 @@ Arsenic Oxidation/Adsorption Example NODE River NH2CL 2.5 [REPORT] - NODES C D ;Report results for nodes C and D - LINKS 5 ;Report results 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--- wntr/epanet/msx/exceptions.py | 1 - wntr/msx/_library_data/msx.schema.json | 873 +++++++++++++++++++++++++ wntr/msx/base.py | 1 + wntr/network/model.py | 10 +- 4 files changed, 880 insertions(+), 5 deletions(-) create mode 100644 wntr/msx/_library_data/msx.schema.json diff --git a/wntr/epanet/msx/exceptions.py b/wntr/epanet/msx/exceptions.py index d505d33ef..dc8759543 100644 --- a/wntr/epanet/msx/exceptions.py +++ b/wntr/epanet/msx/exceptions.py @@ -47,7 +47,6 @@ 524: "illegal math operation", } """A dictionary of the error codes and their meanings from the EPANET-MSX toolkit. -Please see :doc:`/errors` for tables of these values. :meta hide-value: """ diff --git a/wntr/msx/_library_data/msx.schema.json b/wntr/msx/_library_data/msx.schema.json new file mode 100644 index 000000000..04c91af17 --- /dev/null +++ b/wntr/msx/_library_data/msx.schema.json @@ -0,0 +1,873 @@ +{ + "$schema": "http://json-schema.org/schema#", + "type": "object", + "properties": { + "wntr-version": { + "type": "string" + }, + "name": { + "type": "string" + }, + "title": { + "type": "string" + }, + "description": { + "type": [ + "null", + "string" + ] + }, + "references": { + "type": "array", + "items": { + "type": "string" + } + }, + "reaction_system": { + "type": "object", + "properties": { + "species": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "species_type": { + "type": "string" + }, + "units": { + "type": "string" + }, + "atol": { + "type": "null" + }, + "rtol": { + "type": "null" + }, + "note": { + "type": "string" + } + }, + "required": [ + "atol", + "name", + "note", + "rtol", + "species_type", + "units" + ] + } + }, + "constants": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "value": { + "type": "number" + }, + "units": { + "type": "string" + }, + "note": { + "type": "string" + } + }, + "required": [ + "name", + "note", + "units", + "value" + ] + } + }, + "parameters": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "global_value": { + "type": "number" + }, + "note": { + "type": "string" + } + }, + "required": [ + "global_value", + "name" + ] + } + }, + "terms": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "expression": { + "type": "string" + }, + "note": { + "type": "string" + } + }, + "required": [ + "expression", + "name" + ] + } + }, + "pipe_reactions": { + "type": "array", + "items": { + "type": "object", + "properties": { + "species_name": { + "type": "string" + }, + "expression_type": { + "type": "string" + }, + "expression": { + "type": "string" + }, + "note": { + "type": "string" + } + }, + "required": [ + "expression", + "expression_type", + "species_name" + ] + } + }, + "tank_reactions": { + "type": "array", + "items": { + "type": "object", + "properties": { + "species_name": { + "type": "string" + }, + "expression_type": { + "type": "string" + }, + "expression": { + "type": "string" + }, + "note": { + "type": "string" + } + }, + "required": [ + "expression", + "expression_type", + "species_name" + ] + } + } + }, + "required": [ + "constants", + "parameters", + "pipe_reactions", + "species", + "tank_reactions", + "terms" + ] + }, + "network_data": { + "type": "object", + "properties": { + "initial_quality": { + "type": "object", + "properties": { + "AS3": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "AS5": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "AStot": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "AS5s": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "NH2CL": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "HOCL": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "NH3": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "NHCL2": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "I": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "OCL": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "NH4": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "ALK": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "H": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "OH": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "CO3": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "HCO3": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "H2CO3": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "chloramine": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "PB2": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "Nx": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + }, + "NX2": { + "type": "object", + "properties": { + "global_value": { + "type": "number" + }, + "node_values": { + "type": "object" + }, + "link_values": { + "type": "object" + } + }, + "required": [ + "global_value", + "link_values", + "node_values" + ] + } + } + }, + "parameter_values": { + "type": "object", + "properties": { + "k1": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + }, + "k2": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + }, + "k3": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + }, + "k4": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + }, + "k6": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + }, + "k7": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + }, + "k8": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + }, + "k9": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + }, + "k10": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + }, + "F": { + "type": "object", + "properties": { + "pipe_values": { + "type": "object" + }, + "tank_values": { + "type": "object" + } + }, + "required": [ + "pipe_values", + "tank_values" + ] + } + } + }, + "sources": { + "type": "object" + }, + "patterns": { + "type": "object" + } + }, + "required": [ + "initial_quality", + "parameter_values", + "patterns", + "sources" + ] + }, + "options": { + "type": "object", + "properties": { + "timestep": { + "type": "integer" + }, + "area_units": { + "type": "string" + }, + "rate_units": { + "type": "string" + }, + "solver": { + "type": "string" + }, + "coupling": { + "type": "string" + }, + "rtol": { + "type": "number" + }, + "atol": { + "type": "number" + }, + "compiler": { + "type": "string" + }, + "segments": { + "type": "integer" + }, + "peclet": { + "type": "integer" + }, + "report": { + "type": "object", + "properties": { + "pagesize": { + "type": "null" + }, + "report_filename": { + "type": "null" + }, + "species": { + "type": "object", + "properties": { + "PB2": { + "type": "string" + } + } + }, + "species_precision": { + "type": "object", + "properties": { + "PB2": { + "type": "integer" + } + } + }, + "nodes": { + "type": [ + "null", + "string" + ] + }, + "links": { + "type": [ + "null", + "string" + ] + } + }, + "required": [ + "links", + "nodes", + "pagesize", + "report_filename", + "species", + "species_precision" + ] + } + }, + "required": [ + "area_units", + "atol", + "compiler", + "coupling", + "peclet", + "rate_units", + "report", + "rtol", + "segments", + "solver", + "timestep" + ] + } + }, + "required": [ + "description", + "name", + "network_data", + "options", + "reaction_system", + "references", + "title", + "wntr-version" + ] +} diff --git a/wntr/msx/base.py b/wntr/msx/base.py index 6bc035ddc..bee6b727d 100644 --- a/wntr/msx/base.py +++ b/wntr/msx/base.py @@ -73,6 +73,7 @@ def coth(x): ``D`` pipe diameter ``Kc`` pipe roughness coefficient ``Q`` pipe flow rate + ``U`` pipe flow velocity ``Re`` flow Reynolds number ``Us`` pipe shear velocity ``Ff`` Darcy-Weisbach friction factor diff --git a/wntr/network/model.py b/wntr/network/model.py index da6c159b1..cb04fa2e2 100644 --- a/wntr/network/model.py +++ b/wntr/network/model.py @@ -321,12 +321,14 @@ def msx(self): return self._msx @msx.setter - def msx(self, msx): - if msx is None: + def msx(self, model): + if model is None: self._msx = None + return from wntr.msx.base import QualityModelBase - if not isinstance(msx, QualityModelBase): - raise TypeError('Expected QualityModelBase (or derived), got {}'.format(type(msx))) + if not isinstance(model, QualityModelBase): + raise TypeError('Expected QualityModelBase (or derived), got {}'.format(type(model))) + self._msx = model def add_msx_model(self, msx_filename=None): """Add an msx model from a MSX input file (.msx extension)""" From f76e9972e50ccb0fbd6d2047d55bbbb2d2050264 Mon Sep 17 00:00:00 2001 From: David Hart Date: Tue, 30 Apr 2024 15:48:16 -0600 Subject: [PATCH 065/118] JSON schema commit --- wntr/msx/_library_data/msx.schema.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/wntr/msx/_library_data/msx.schema.json b/wntr/msx/_library_data/msx.schema.json index 04c91af17..24feef0e2 100644 --- a/wntr/msx/_library_data/msx.schema.json +++ b/wntr/msx/_library_data/msx.schema.json @@ -1,5 +1,5 @@ { - "$schema": "http://json-schema.org/schema#", + "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "wntr-version": { From d1df04eb42f4ee7e61556c796383acc576734f5d Mon Sep 17 00:00:00 2001 From: David Hart Date: Sat, 4 May 2024 09:19:20 -0600 Subject: [PATCH 066/118] Update to MSX examples and bug fix --- examples/data/msx_as.msx | 58 ++++++ examples/demos/multisource-cl-decay.ipynb | 211 ++++++++++++++++++++++ examples/networks/msx_as.inp | 36 ++++ wntr/epanet/msx/io.py | 2 +- wntr/msx/model.py | 2 +- 5 files changed, 307 insertions(+), 2 deletions(-) create mode 100644 examples/data/msx_as.msx create mode 100644 examples/demos/multisource-cl-decay.ipynb create mode 100644 examples/networks/msx_as.inp diff --git a/examples/data/msx_as.msx b/examples/data/msx_as.msx new file mode 100644 index 000000000..b20e0854b --- /dev/null +++ b/examples/data/msx_as.msx @@ -0,0 +1,58 @@ +[TITLE] +Arsenic Oxidation/Adsorption Example + +[OPTIONS] + AREA_UNITS M2 ;Surface concentration is mass/m2 + RATE_UNITS HR ;Reaction rates are concentration/hour + SOLVER RK5 ;5-th order Runge-Kutta integrator + TIMESTEP 360 ;360 sec (5 min) solution time step + RTOL 0.001 ;Relative concentration tolerance + ATOL 0.0001 ;Absolute concentration tolerance + +[SPECIES] + BULK AS3 UG ;Dissolved arsenite + BULK AS5 UG ;Dissolved arsenate + BULK AStot UG ;Total dissolved arsenic + WALL AS5s UG ;Adsorbed arsenate + BULK NH2CL MG ;Monochloramine + +[COEFFICIENTS] + CONSTANT Ka 10.0 ;Arsenite oxidation rate coefficient + CONSTANT Kb 0.1 ;Monochloramine decay rate coefficient + CONSTANT K1 5.0 ;Arsenate adsorption coefficient + CONSTANT K2 1.0 ;Arsenate desorption coefficient + CONSTANT Smax 50 ;Arsenate adsorption saturation limit + +[TERMS] + Ks K1/K2 ;Equil. adsorption coeff. + +[PIPES] + ;Arsenite oxidation + RATE AS3 -Ka*AS3*NH2CL + ;Arsenate production + RATE AS5 Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s) + ;Monochloramine decay + RATE NH2CL -Kb*NH2CL + ;Arsenate adsorption + EQUIL AS5s Ks*Smax*AS5/(1+Ks*AS5) - AS5s + ;Total bulk arsenic + FORMULA AStot AS3 + AS5 + +[TANKS] + RATE AS3 -Ka*AS3*NH2CL + RATE AS5 Ka*AS3*NH2CL + RATE NH2CL -Kb*NH2CL + FORMULA AStot AS3 + AS5 + +[QUALITY] + ;Initial conditions (= 0 if not specified here) + NODE Source AS3 10.0 + NODE Source NH2CL 2.5 + +[REPORT] + NODES C D ;Report results for nodes C and D + LINKS 5 ;Report results for pipe 5 + SPECIES AStot YES ;Report results for each specie + SPECIES AS5 YES + SPECIES AS5s YES + SPECIES NH2CL YES diff --git a/examples/demos/multisource-cl-decay.ipynb b/examples/demos/multisource-cl-decay.ipynb new file mode 100644 index 000000000..a6d2edd9c --- /dev/null +++ b/examples/demos/multisource-cl-decay.ipynb @@ -0,0 +1,211 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import wntr\n", + "from wntr.msx.elements import InitialQuality\n", + "wn = wntr.network.WaterNetworkModel('../networks/Net3.inp')\n", + "wn.options.quality.parameter = 'NONE'" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Reaction(species_name='CL2', expression_type=, expression='-(k1*T1 + k2*(1-T1))*CL2')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wn.add_msx_model()\n", + "wn.msx.options.area_units = 'FT2'\n", + "wn.msx.options.rate_units = 'DAY'\n", + "wn.msx.options.timestep = 300\n", + "wn.msx.add_species('T1','bulk',units='MG', note='Source 1 Tracer')\n", + "wn.msx.add_species('CL2','bulk', units='MG', note='Free Chlorine')\n", + "k1 = wn.msx.add_constant('k1', 1.3)\n", + "k2 = wn.msx.add_constant('k2', 17.7)\n", + "wn.msx.add_reaction('T1', 'pipe', 'rate', '0')\n", + "wn.msx.add_reaction('CL2', 'pipe', 'rate', '-(k1*T1 + k2*(1-T1))*CL2')\n", + "wn.msx.add_reaction('T1', 'tank', 'rate', '0')\n", + "wn.msx.add_reaction('CL2', 'tank', 'rate', '-(k1*T1 + k2*(1-T1))*CL2')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "wn.msx.network_data.initial_quality['T1'] = InitialQuality(node_values={'River': 1.0})\n", + "wn.msx.network_data.initial_quality['CL2'] = InitialQuality(node_values={'River':1.2, 'Lake':1.2})" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "sim = wntr.sim.EpanetSimulator(wn)\n", + "res = sim.run_sim()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "_=wntr.graphics.plot_network(\n", + " wn, node_attribute=res.node['T1'].loc[3600*12,:], \n", + " title='12 h', node_colorbar_label='River\\nFraction',\n", + ")\n", + "_=wntr.graphics.plot_network(\n", + " wn, node_attribute=res.node['T1'].loc[3600*24,:], \n", + " title='24 h', node_colorbar_label='River\\nFraction',\n", + ")\n", + "_=wntr.graphics.plot_network(\n", + " wn, node_attribute=res.node['T1'].loc[3600*36,:], \n", + " title='36 h', node_colorbar_label='River\\nFraction',\n", + ")\n", + "query = '117' # '191', '269', '117'\n", + "res.node['CL2'][query].plot()\n", + "res.node['T1'][query].plot()\n", + "plt.title('Node {}\\nk1 = {:.1f}, k2 = {:.1f}'.format(query, k1.value, k2.value))\n", + "_=plt.legend(['Cl2', 'T1'])" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "d_k1 = dict()\n", + "for i in range(7):\n", + " newk = 1.3 + (2*i*1.3)\n", + " k1.value = newk\n", + " resk = sim.run_sim()\n", + " d_k1[newk] = resk" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Cl2 at node 117')" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "res.node[\"T1\"].loc[0:3600*36, query].plot(style='k.:')\n", + "for newk, resk in d_k1.items():\n", + " resk.node[\"CL2\"].loc[0:3600*36, query].plot()\n", + "plt.legend(['Tracer', *[\"{:.1f}\".format(k) for k in d_k1.keys()]], title=\"k1 (1/day)\")\n", + "plt.title(\"Cl2 at node {}\".format(query))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/networks/msx_as.inp b/examples/networks/msx_as.inp new file mode 100644 index 000000000..0887e00db --- /dev/null +++ b/examples/networks/msx_as.inp @@ -0,0 +1,36 @@ +[TITLE] +EPANET-MSX Example Network + +[JUNCTIONS] +;ID Elev Demand Pattern + A 0 4.1 + B 0 3.4 + C 0 5.5 + D 0 2.3 + +[RESERVOIRS] +;ID Head Pattern + Source 100 + +[PIPES] +;ID Node1 Node2 Length Diameter Roughness + 1 Source A 1000 200 100 + 2 A B 800 150 100 + 3 A C 1200 200 100 + 4 B C 1000 150 100 + 5 C D 2000 150 100 + +[TIMES] + Duration 48 + Hydraulic Timestep 1:00 + Quality Timestep 0:05 + Report Timestep 2 + Report Start 0 + Statistic NONE + +[OPTIONS] + Units CMH + Headloss H-W + Quality NONE + +[END] diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index fc271d30e..5ac252e09 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -779,7 +779,7 @@ def _write_quality(self, fout): for node, conc in getattr(val, typ).items(): fout.write(" {:<8s} {:<8s} {:<8s} {}\n".format(typ.upper()[0:4], node, species, conc)) if val.global_value: - fout.write(" {:<8s} {:<8s} {}\n".format("GLOBAL", species, val)) + fout.write(" {:<8s} {:<8s} {}\n".format("GLOBAL", species, val.global_value)) fout.write("\n") def _write_parameters(self, fout): diff --git a/wntr/msx/model.py b/wntr/msx/model.py index 49bf90058..be46e2201 100644 --- a/wntr/msx/model.py +++ b/wntr/msx/model.py @@ -755,7 +755,7 @@ def from_dict(cls, data) -> "MsxModel": ver = data.get("wntr-version", None) if ver != __version__: logger.warn("Importing from a file created by a different version of wntr, compatibility not guaranteed") - warnings.warn("Importing from a file created by a different version of wntr, compatibility not guaranteed") + # warnings.warn("Importing from a file created by a different version of wntr, compatibility not guaranteed") new = cls() new.name = data.get("name", None) new.title = data.get("title", None) From 168e59d8701ec0cdb6438701699e425bd5ee4787 Mon Sep 17 00:00:00 2001 From: David Hart Date: Sun, 5 May 2024 09:22:48 -0600 Subject: [PATCH 067/118] Update to MSX demo --- examples/demos/multisource-cl-decay.ipynb | 196 ++++++++++++++++++---- 1 file changed, 165 insertions(+), 31 deletions(-) diff --git a/examples/demos/multisource-cl-decay.ipynb b/examples/demos/multisource-cl-decay.ipynb index a6d2edd9c..eb4877902 100644 --- a/examples/demos/multisource-cl-decay.ipynb +++ b/examples/demos/multisource-cl-decay.ipynb @@ -1,12 +1,25 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# WNTR / EPANET-MSX demo\n", + "This demo shows a simple example of multispecies chlorine decay taken from the \n", + "EPANETMSX user manual. The Net3 example network from EPANET is used, and two \n", + "different decay coefficients are assigned - one for each source of water.\n", + "The river uses decay coefficient k1, the lake uses decay coefficient k2, and \n", + "the two values are an order of magnitude different. Once the initial example,\n", + "from the EPANETMSX user manual, has been run, parameter sensitivity is performed\n", + "to look at the impacts of different decay coefficients for the river source." + ] + }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ - "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import wntr\n", "from wntr.msx.elements import InitialQuality\n", @@ -14,60 +27,171 @@ "wn.options.quality.parameter = 'NONE'" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create a new MSX model" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "wn.add_msx_model()\n", + "wn.msx.title = 'Multisource Chlorine Decay'\n", + "wn.msx.references.append(\"\"\"(2023) Shang F, L Rossman, and J Uber. \n", + "\"EPANET-MSX 2.0 User Manual\". EPA/600/R-22/199\"\"\")\n", + "wn.msx.options.area_units = 'FT2'\n", + "wn.msx.options.rate_units = 'DAY'\n", + "wn.msx.options.timestep = 300" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Add the species" + ] + }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Reaction(species_name='CL2', expression_type=, expression='-(k1*T1 + k2*(1-T1))*CL2')" + "Species(name='CL2', species_type=, units='MG', atol=None, rtol=None, note='Free Chlorine')" ] }, - "execution_count": 16, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "wn.add_msx_model()\n", - "wn.msx.options.area_units = 'FT2'\n", - "wn.msx.options.rate_units = 'DAY'\n", - "wn.msx.options.timestep = 300\n", + "# Add the species\n", "wn.msx.add_species('T1','bulk',units='MG', note='Source 1 Tracer')\n", - "wn.msx.add_species('CL2','bulk', units='MG', note='Free Chlorine')\n", - "k1 = wn.msx.add_constant('k1', 1.3)\n", - "k2 = wn.msx.add_constant('k2', 17.7)\n", + "wn.msx.add_species('CL2','bulk', units='MG', note='Free Chlorine')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Add the coefficients" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Constant(name='k2', value=17.7, units='1/day')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Add the constant coefficients\n", + "k1 = wn.msx.add_constant('k1', 1.3, units='1/day')\n", + "k2 = wn.msx.add_constant('k2', 17.7, units='1/day')\n", + "k2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Add the recations" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Reaction(species_name='CL2', expression_type=, expression='-(k1*T1 + k2*(1-T1))*CL2')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Add the reactions\n", "wn.msx.add_reaction('T1', 'pipe', 'rate', '0')\n", - "wn.msx.add_reaction('CL2', 'pipe', 'rate', '-(k1*T1 + k2*(1-T1))*CL2')\n", - "wn.msx.add_reaction('T1', 'tank', 'rate', '0')\n", - "wn.msx.add_reaction('CL2', 'tank', 'rate', '-(k1*T1 + k2*(1-T1))*CL2')" + "wn.msx.add_reaction('CL2', 'pipe', 'rate', '-(k1*T1 + k2*(1-T1))*CL2')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set up the initial quality" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'T1': InitialQuality(global_value=0.0, node_values=<1 entries>, link_values=<0 entries>),\n", + " 'CL2': InitialQuality(global_value=0.0, node_values=<2 entries>, link_values=<0 entries>)}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "wn.msx.network_data.initial_quality['T1'] = InitialQuality(node_values={'River': 1.0})\n", - "wn.msx.network_data.initial_quality['CL2'] = InitialQuality(node_values={'River':1.2, 'Lake':1.2})" + "net_data = wn.msx.network_data\n", + "net_data.initial_quality['T1'] = InitialQuality(\n", + " node_values={'River': 1.0}\n", + ")\n", + "net_data.initial_quality['CL2'] = InitialQuality(\n", + " node_values={'River':1.2, 'Lake':1.2}\n", + ")\n", + "net_data.initial_quality" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the simulation and view the results" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "sim = wntr.sim.EpanetSimulator(wn)\n", - "res = sim.run_sim()" + "res = sim.run_sim()\n" ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -102,7 +226,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
      " ] @@ -131,14 +255,22 @@ "_=plt.legend(['Cl2', 'T1'])" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Perform analysis of different k1 values" + ] + }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "d_k1 = dict()\n", "for i in range(7):\n", + " # Increase the reaction rate\n", " newk = 1.3 + (2*i*1.3)\n", " k1.value = newk\n", " resk = sim.run_sim()\n", @@ -147,22 +279,22 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(0.5, 1.0, 'Cl2 at node 117')" + "Text(0, 0.5, 'River Fraction [/100%] // Concentraion [mg/L]')" ] }, - "execution_count": 24, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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      " ] @@ -172,11 +304,13 @@ } ], "source": [ - "res.node[\"T1\"].loc[0:3600*36, query].plot(style='k.:')\n", + "res.node[\"T1\"].loc[0:3600*36, query].plot(style='k.')\n", "for newk, resk in d_k1.items():\n", " resk.node[\"CL2\"].loc[0:3600*36, query].plot()\n", "plt.legend(['Tracer', *[\"{:.1f}\".format(k) for k in d_k1.keys()]], title=\"k1 (1/day)\")\n", - "plt.title(\"Cl2 at node {}\".format(query))" + "plt.title(\"Cl2 at node {}\".format(query))\n", + "plt.xlabel('Seconds')\n", + "plt.ylabel('River Fraction [/100%] // Concentraion [mg/L]')" ] }, { @@ -207,5 +341,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } From 5ba02f3bd49adb6d103548ab9167ba2087dbac72 Mon Sep 17 00:00:00 2001 From: David Hart Date: Tue, 7 May 2024 11:04:54 -0600 Subject: [PATCH 068/118] Update to the MSX demo jupyter notebook. --- examples/demos/multisource-cl-decay.ipynb | 179 ++++++++++++---------- 1 file changed, 97 insertions(+), 82 deletions(-) diff --git a/examples/demos/multisource-cl-decay.ipynb b/examples/demos/multisource-cl-decay.ipynb index eb4877902..943f9e898 100644 --- a/examples/demos/multisource-cl-decay.ipynb +++ b/examples/demos/multisource-cl-decay.ipynb @@ -20,9 +20,23 @@ "metadata": {}, "outputs": [], "source": [ - "import matplotlib.pyplot as plt\n", + "from pprint import pprint" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load the network model, optionally remove EPANET quality" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ "import wntr\n", - "from wntr.msx.elements import InitialQuality\n", "wn = wntr.network.WaterNetworkModel('../networks/Net3.inp')\n", "wn.options.quality.parameter = 'NONE'" ] @@ -31,12 +45,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Create a new MSX model" + "### Add a new MSX model to the water network, set options" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -53,115 +67,95 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Add the species" + "### Add the MSX reaction system information\n", + "This reaction system comes from the EPANET-MSX user manual. There are two species: Free Chlorine and a tracer. The tracer is used to select which decay coefficient is being used. The river is source 1, the lake is source 2.\n", + "\n", + "The amount of free chlorine is based on the rate reaction below, " ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "Species(name='CL2', species_type=, units='MG', atol=None, rtol=None, note='Free Chlorine')" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "(\"Species(name='CL2', species_type=, units='MG', \"\n", + " \"atol=None, rtol=None, note='Free Chlorine')\")\n" + ] } ], "source": [ - "# Add the species\n", - "wn.msx.add_species('T1','bulk',units='MG', note='Source 1 Tracer')\n", - "wn.msx.add_species('CL2','bulk', units='MG', note='Free Chlorine')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Add the coefficients" + "T1 = wn.msx.add_species('T1','bulk',units='MG', note='Source 1 Tracer')\n", + "Cl2 = wn.msx.add_species('CL2','bulk', units='MG', note='Free Chlorine')\n", + "pprint(repr(Cl2))" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "Constant(name='k2', value=17.7, units='1/day')" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "\"Constant(name='k2', value=17.7, units='1/day')\"\n" + ] } ], "source": [ - "# Add the constant coefficients\n", "k1 = wn.msx.add_constant('k1', 1.3, units='1/day')\n", "k2 = wn.msx.add_constant('k2', 17.7, units='1/day')\n", - "k2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Add the recations" + "pprint(repr(k2))" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "Reaction(species_name='CL2', expression_type=, expression='-(k1*T1 + k2*(1-T1))*CL2')" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "(\"Reaction(species_name='CL2', expression_type=, \"\n", + " \"expression='-(k1*T1 + k2*(1-T1))*CL2')\")\n" + ] } ], "source": [ - "# Add the reactions\n", - "wn.msx.add_reaction('T1', 'pipe', 'rate', '0')\n", - "wn.msx.add_reaction('CL2', 'pipe', 'rate', '-(k1*T1 + k2*(1-T1))*CL2')\n" + "rxn_T1 = wn.msx.add_reaction('T1', 'pipe', 'rate', '0')\n", + "rxn_Cl2 = wn.msx.add_reaction('CL2', 'pipe', 'rate', '-(k1*T1 + k2*(1-T1))*CL2')\n", + "pprint(repr(rxn_Cl2))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Set up the initial quality" + "### Set up the initial quality\n", + "In this example, the initial quality is based on the two sources: the tracer, indicating which source is which, is set to 1.0 for the river; the chlorine is being boosted at the sources to the same level, 1.2 mg/L." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "{'T1': InitialQuality(global_value=0.0, node_values=<1 entries>, link_values=<0 entries>),\n", - " 'CL2': InitialQuality(global_value=0.0, node_values=<2 entries>, link_values=<0 entries>)}" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "{'CL2': InitialQuality(global_value=0.0, node_values=<2 entries>, link_values=<0 entries>),\n", + " 'T1': InitialQuality(global_value=0.0, node_values=<1 entries>, link_values=<0 entries>)}\n" + ] } ], "source": [ + "from wntr.msx.elements import InitialQuality\n", "net_data = wn.msx.network_data\n", "net_data.initial_quality['T1'] = InitialQuality(\n", " node_values={'River': 1.0}\n", @@ -169,29 +163,48 @@ "net_data.initial_quality['CL2'] = InitialQuality(\n", " node_values={'River':1.2, 'Lake':1.2}\n", ")\n", - "net_data.initial_quality" + "pprint(net_data.initial_quality)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Run the simulation and view the results" + "### Run the simulation and view the results\n", + "With the MSX model attached to the WaterNetworkModel, there is nothing different in how the EpanetSimulator is called. Results are saved in keys with the species' name." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Node results: demand, head, pressure, quality, T1, CL2\n", + "Link results: quality, flowrate, velocity, headloss, status, setting, friction_factor, reaction_rate, T1, CL2\n" + ] + } + ], "source": [ "sim = wntr.sim.EpanetSimulator(wn)\n", - "res = sim.run_sim()\n" + "res = sim.run_sim()\n", + "print('Node results:' , ', '.join([k for k in res.node.keys()]))\n", + "print('Link results:' , ', '.join([k for k in res.link.keys()]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Generate some graphics that show how the river fraction changes through time." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -236,6 +249,7 @@ } ], "source": [ + "import matplotlib.pyplot as plt\n", "_=wntr.graphics.plot_network(\n", " wn, node_attribute=res.node['T1'].loc[3600*12,:], \n", " title='12 h', node_colorbar_label='River\\nFraction',\n", @@ -259,19 +273,20 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Perform analysis of different k1 values" + "### Look at impact of different k1 values on residuals" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "d_k1 = dict()\n", + "k1 = wn.msx.reaction_system.constants['k1']\n", "for i in range(7):\n", " # Increase the reaction rate\n", - " newk = 1.3 + (2*i*1.3)\n", + " newk = 1.3 + i*2.6\n", " k1.value = newk\n", " resk = sim.run_sim()\n", " d_k1[newk] = resk" @@ -279,22 +294,22 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(0, 0.5, 'River Fraction [/100%] // Concentraion [mg/L]')" + "Text(0, 0.5, 'Concentraion [mg/L]')" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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fKy0tjX379jFy5EgA5syZwzXXXMOzzz4LQKdOndi8eTMrVqywn9OrVy969epl//qVV17h119/ZenSpUyePJmYmBhGjBjBggUL7MnNggULGDp0KO3bt7efFxUVZY/fI5ObBQsW4O/v7/BFP/vsM8LDwxsclCAIguBakiTx0eok3vv7GAAPDe3Ac9d0dqqviL9WTW6pgcIyE5H+Irmpy88//0x2djabNm2y//JvjPLycjQaTYN6wCxdupTLLrvMvhrq8OHD3HDDDdWOSUxMrJbclJaWMmPGDJYtW0ZGRgaVlZWUl5eTkpJiP+b+++9nwoQJzJo1C7lczuLFi3n//ferXVertf4bKSsrczruxnIouRk/fvwFjzGbzWRlZREVFcW4ceMaHZggCILgGpIk8fbKo3y69gQAT13ViclXdnT6l2WATkVuqYGCMrE7dn0SEhLYvXs3X375Jf369Wt0Y7qQkBDKysowGo1Od0peunQpo0ePduqcp59+mr///pt3332Xjh07otVqufnmm6vtij5q1Cg0Gg2//vorarUak8nEzTffXO06+fn5gHVLhebmsr2lDhw4QJ8+fRrdMlkQBEFwHYtFYub/HWLh5lMATLuuK5OGtK//pDoE6qwFqUVlJleF1yp16NCB9957j2HDhqFQKPjoo48adb3evXsDcOjQIftjR5SWlrJmzZpqK5a6du3Ktm3bqh23devWal9v2rSJe++91z7CU1paWqNoWalUMn78eBYsWIBareb222+3j9TYHDhwAJVKxSWXXOJwzK4iNs4UBEFopcwWialL9vHjzlRkMnhtbA/GDWjT4Ov5a62jBoXlIrm5kE6dOrFmzRqGDRuGUqm097MxGo0cOnTI/jgtLY29e/fi4+NDx44da71WaGgoffr0YePGjdWSm/z8fFJSUkhPTwfg6NGjAERERBAREcGKFSvo1KlTtXqXxx9/nMGDB/Puu+8yZswYVq5cWW1KCiA+Pp4lS5YwatQoZDIZL730EhZLzRYAkyZNomvXroA1ITrfhg0bGDJkSI2kpzmIPjeCIAitkMls4Ykf9vLjzlTkMph1a69GJTZwduRGTEs5pnPnzqxevZrvvvuOp556CoD09HQSEhJISEggIyODd999l4SEBCZNmlTvtSZNmlRjKfjSpUtJSEjguuuuA+D2228nISGBuXPnAtYl4OdPSQ0cOJDPP/+cOXPm0KtXL/766y+mTZtW7ZhZs2YRGBjIoEGDGDVqFCNGjKBPnz41YoqPj2fQoEF06dKFAQMG1Hj9+++/5/7777/AT6lpyCSpIYsBa/r3339bxLRUcXEx/v7+FBUV4efn5+5wBEEQXK7CZGby4j38czgLlULGB7cnMLJHZKOv+9qyQ3y+IZkHL2/P1Gu7uiBSz1dRUUFycjLt2rXDy8vLbXGUl5fTuXNnfvjhBxITEy94fGVlJeHh4SxfvpxLL720SWKSJIn4+HgeeeSRGv3wli9fzlNPPcW+fftQKh2fJKrv5+3M72+H77hv3756X7cNhwmCIAjuU24088DXO9lwPBe1Us5nd/Xlii7OLyGuTYDOOi0lRm6an1arZdGiReTm5jp0fH5+Pk8++aRLVmvVJicnh++//57MzEzuu+++Gq/r9XoWLFjgVGLjSg7ftXfv3shkMmob6LE972xF+Pr163nnnXfYtWsXGRkZ/Prrr4wdO7bec9auXcuUKVM4ePAgsbGxTJs2jXvvvdep+wqCILRGJRUmJi7cyfZT+ejUCr64px+DOoa47PoBVdNShaKg2C2GDRvm8LFhYWE1pptcKSwsjJCQEObNm0dgYGCN189fOdXcHE5ukpOTXX5zvV5Pr169mDBhAjfeeKNDMVx33XU89NBDfPvtt6xatYpJkyYRGRnJiBEjXB6fIAhCS1FYZmT8l9v5N7UIXy8lC+/rT9+2ru0SHyAKioUqLqpoaTIOJzerVq1i9OjRhIS47q+AkSNH2rsmOmLu3Lm0a9eO9957D7Auadu4cSPvv/++SG4EQWg1UlNTOX78OPHx8cTExFzw+OySCu6Yu4kTeRX4eyn49v6BdI+uv/Gqs/cAMOkLAcgpav6mbILgDIdXS33zzTfExMQwaNAg3nrrLQ4fPtyUcdVqy5Yt9o27bEaMGMGWLVuaPRZBEISmMH/+fNq2bcuVV15J27ZtmT9/fr3Hn8kv45q3V3Iir4LK0nyOfPIQ21b87NJ72M65/cZRACSlpDl0jiC4i8PJzerVq8nIyOCRRx5h165dDBgwgPj4eJ566inWr19f6xp4V8vMzKyxrUN4eDjFxcWUl5fXeo7BYKC4uLjahyAIgidKTU3lgQcesL+fWiwWHnzwQVJTU2s9Pim7hBs/3ki+SYmpMJOsb5/FmHO63nOcvce551Tqre+fci/fC54jCO7kVJ+bwMBA7rrrLn788Udyc3P58MMPKS8v58477yQsLIx77rmHn3/+Gb1e31TxOu2NN97A39/f/hEbG+vukARBEGp1/PjxGn8oms1mkpKSahy7P7WIWz/bSo7ehDH3NFnfPkdlYWa95zh7j/PPsVSUACBTqrHIlfWeIwju1OAmfmq1mmuuuYZPPvmEM2fOsGLFCuLi4njllVeYNWuWK2O0i4iIICsrq9pzWVlZ+Pn51dkBcerUqRQVFdk/zpw50ySxCYIgNFZ8fDxyefW3ZYVCUaNz7baTedzx+Vby9Ua6hGnJ+f4FzKV59Z7j7D1qO0cyVSBVWouJVd4B9Z4jCO7ksg7F/fr1Y+bMmfz77788//zzrrpsNYmJiaxatarac3///Xe9DY00Gg1+fn7VPgRBEDxRTEwM8+bNQ6FQANak47PPPqtW8Lv6SBb3fLmdUkMlA9sH8dMjQ5g75716z3H2HvWdY64avZn+2lsOFyILQnNzukPx+V0I7ReSyfDy8iI+Pp7Ro0cTFHThJYilpaX2Yc2EhARmzZrFFVdcQVBQEG3atGHq1KmkpaWxaNEiwLoUvHv37jz66KNMmDCB1atX8/jjj7Ns2TKHV0uJDsWCIHi61NRUkpKS6NixY7UEYum/6Uz5YS+VFonhXcP4aFwfvFSKes9x9h4XOufWhftIL5VYPGmAS3voeCpP6VB8sWj2DsU2e/bsYffu3ZjNZjp37gzAsWPHUCgUdOnShU8++YQpU6awceNGunXrVu+1du7cyRVXXGH/2pY4jR8/noULF5KRkUFKSor99Xbt2rFs2TKefPJJ5syZQ0xMDF988YVYBi4IQqsSExNTI+H4dttppv12AEmCsb2jeOeWXqgU8nrPcfYeDp0Tcob00nzR68aDXaih7ssvv8yMGTOaJxg3cTq5GTNmDEFBQSxYsMCeORUVFTFp0iQuu+wy7r//fsaNG8eTTz7JypUr673WsGHD6m0EtHDhwlrP2bNnj7NhC4IgtFifrj3BWyuOAHD3wLb8b/QlyOXOdYR3FX/RpdjjZWRk2B//8MMPTJ8+vdoWST4+PvbHkiRhNpvdsk2C0WhErVY3ybWdrrl55513eOWVV6oNCfn7+zNjxgzefvttdDod06dPZ9euXS4NVBAE4WIjSRJvrThiT2wevaIDM8e4L7EBsTN4Y6SmprJmzZomX0IfERFh//D390cmk9m/PnLkCL6+vixfvpy+ffui0WjYuHEjJ06cYMyYMYSHh+Pj40P//v35559/ql3XYDDw3HPPERsbi0ajoWPHjtX6HR04cICRI0fi4+NDeHg4d999d7W9sIYNG8bkyZN54oknCAkJadJZF6eTm6KiIrKzs2s8n5OTY+8hExAQgNEo/uELgiA0lNkiMe23A3y69gQAL1zbhWdGdHF6Dz9Xs22eWSSmpZzSkMaJTen555/nzTff5PDhw/Ts2ZPS0lKuvfZaVq1axZ49e7jmmmsYNWpUtdKQe+65h++++44PPviAw4cP89lnn9lHgQoLC7nyyitJSEhg586drFixgqysLG699dZq9/3qq69Qq9Vs2rSJuXPnNtn316BpqQkTJvDee+/ZdxvdsWMHTz/9tH3Ty+3bt9OpUyeXBioIgnCxMJktPPXjvyz9Nx2ZDF6/oQd3XNrG3WEB4K+tGrnRiz9gHVVX48QRI0a4bcXZzJkzueqqq+xfBwUF0atXL/vXr7zyCr/++itLly5l8uTJHDt2jB9//JG///7bvlNA+/bt7cd/9NFHJCQk8Prrr9uf+/LLL4mNjeXYsWP2nCA+Pp633367qb8955Obzz77jCeffJLbb7+dyspK60WUSsaPH8/7778PQJcuXfjiiy9cG6kgCMJFYvY/x1j6bzoqhYz3b+vN9T2j3B2SXaBObJ7prPoaJ7oruenXr1+1r0tLS5kxYwbLli0jIyODyspKysvL7SM3e/fuRaFQMHTo0Fqv9++//7JmzZpq9Tw2J06csCc3ffv2dfF3UjunkxsfHx8+//xz3n//fU6ePAlYs7dzv6HevXu7LEBBEISLzfpj1jqF/43u7lGJDUBAVc1NkSgodpitCeK5Cc6FGic2NW9v72pfP/300/z999+8++67dOzYEa1Wy80332wvMamrUa5NaWkpo0aN4q233qrxWmRkZJ33bSoNLo/28fGhZ8+eroxFEATholdptnA0y9oob3DHYDdHU1OAVhQUO8vWBPHBBx/EbDY71DixuW3atIl7772XG264AbAmK6dOnbK/3qNHDywWC+vWrauxgTVAnz59+OWXX4iLi3PLyqvzOR1BRUUFH374IWvWrCE7O7vGUNvu3btdFpwgCMLF5mSuHmOlBR+NkthAnbvDqSFATEs1yMSJExkxYoTTjRObS3x8PEuWLGHUqFHIZDJeeumlar/f4+LiGD9+PBMmTOCDDz6gV69enD59muzsbG699VYeffRRPv/8c+644w6effZZgoKCSEpK4vvvv+eLL76wd8RuLk4nNxMnTuSvv/7i5ptv5tJLL3V75b4gCEJrcjjDuuq0S4SvW5d81+XcaSlJksTvACc0pHFic5k1axYTJkxg0KBBhISE8Nxzz9lXQNt8+umnvPDCCzzyyCPk5eXRpk0bXnjhBQCioqLYtGkTzz33HFdffTUGg4G2bdtyzTXX1NjLrDk4vf2Cv78/f/75J4MHD26qmJqU2H5BEARP9safh/ls/UnuSWzLzDHd3R1ODWXGSrpNtzZoPfi/EXhr3D8F0ZTE9gvNy1XbLzidTkVHR+Pr6+vsaYIgCIIDDlWN3HSN9Mw/vrQqBWql9VeHmJoSPJXTyc17773Hc889x+nTp5siHkEQhIuWJEkcSrcmN908NLmRyWT2ouJCUVQseCinxxP79etHRUUF7du3R6fToVKpqr2en5/vsuAEQRAuJjklBvL0RuQy6BzhuSPkAToV2SUGsb+U4LGcTm7uuOMO0tLSeP311wkPDxfFZIIgCC5im5JqH+qDl6p5V5c4w75iSiQ3godyOrnZvHkzW7ZsqdamWRAEQWg8T6+3sRG9bgRP53TNTZcuXSgvL2+KWARBEC5qhzOszfs8td7GJlBsnil4OKeTmzfffJOnnnqKtWvXkpeXR3FxcbUPQRAEoWEOpRcB0DXSc+tt4GyvG1FQLHgqp6elrrnmGgD+85//VHve1szJbDa7JjJBEISLSLnRTHKuHoBuUZ49cuOvs01LiZEbwTM5ndysWbOmKeIQBEG4qB3NKsEiQYiPmjBfz24WFygKigUP53RyU9d254IgCELDHW4hxcRwtqC4qFxMSwmeyaGam3379tXYILM+Bw8epLKyssFBCYIgXGw8vXnfucS0VMuwfv16Ro0aRVRUFDKZjN9++63e4zdu3MjgwYMJDg5Gq9XSpUsX3n///eYJ1sUcSm4SEhLIy8tz+KKJiYmkpKQ0OChBEISLjW3kxtPrbUBMS7UUer2eXr168fHHHzt0vLe3N5MnT2b9+vUcPnyYadOmMW3aNObNm9fEkbqeQ9NSkiTx0ksvodPpHLqo0SiGKgVBEBxlsUgta1pKd3ZaSuwM7rlGjhzJyJEjHT4+ISGBhIQE+9dxcXEsWbKEDRs28MADDzRFiE3GoeTm8ssv5+jRow5fNDExEa1W2+CgBEEQLiZnCsrQG82olXLah3i7O5wLCtBaR25MZgm90YxPK98Z/FySJFFucs+qYK1K0ayJ5J49e9i8eTOvvvpqs93TVRz6F7l27domDkMQBOHiZau36Rzui1LhdPuxZqdVK9Ao5RgqLRSWGS+q5KbcZKbb9JVuufehmSPQqZv+Zx0TE0NOTg6VlZXMmDGDSZMmNfk9Xe3i+RcpCILgoez1Ni1gSsomQKciq9i6eWZMoLujEVxpw4YNlJaWsnXrVp5//nk6duzIHXfc4e6wnCKSG0EQBDc7u6eUZ3cmPleAVm1Pbi4mWpWCQzNHuO3ezaFdu3YA9OjRg6ysLGbMmCGSG0EQBME59j2lovzdHInj7FswXGS9bmQyWbNMDXkKi8WCwWBwdxhOu3j+CwmCIHigwjIjaYXWzYi7tKSRG9HrxuOVlpaSlJRk/zo5OZm9e/cSFBREmzZtmDp1KmlpaSxatAiAjz/+mDZt2tClSxfA2ifn3Xff5fHHH3dL/I0hkhtBEAQ3so3axAZp8fNSuTkax9l3BhebZ3qsnTt3csUVV9i/njJlCgDjx49n4cKFZGRkVOtJZ7FYmDp1KsnJySiVSjp06MBbb73Fgw8+2OyxN1aDkpvjx4+zZs0asrOza3Qunj59uksCEwRBuBjY620iWk4xMZztUnyx1dy0JMOGDUOSpDpfX7hwYbWvH3vsMR577LEmjqp5OJ3cfP755zz88MOEhIQQERFRbc29TCYTyY0gCIITWlJn4nPZet2IaSnBEzmd3Lz66qu89tprPPfcc00RjyAIwkXF1uOmJXQmPlegTmyeKXgup7tFFRQUcMsttzRFLIIgCBcVY6WFpOxSoGX1uIFzVkuJkRvBAzmd3Nxyyy389ddfTRGLIAiCx0tNTWXNmjWkpqY2+lonckoxmi34eimJCWxZW9b426elxMiN4Hmcnpbq2LEjL730Elu3bqVHjx6oVNWr+1vikjFBEARHzJ8/nwceeACLxYJcLmfevHlMnDixwdc7d7PMlrb5ZKC3bVpKjNwInsfp5GbevHn4+Piwbt061q1bV+01mUwmkhtBEFqU1NRUjh8/Tnx8PDExMfUeZ0tswLps9sEHH2TEiBH1nlcfW71NS5uSgrMFxYVlJrEzuOBxnE5ukpOTmyIOQRCEZufMSMzx48drtL4wm80kJSU1OLk5nNmCk5uqmptKi0SpoRLfFtSjR2j9GrX9rCRJ9a6hFwRB8FR1jcTUVUsTHx+PXF79LVOhUNCxY8cG3V+SpBa7UgrAS6XAS2X9eYiiYsHTNCi5WbRoET169ECr1aLVaunZsydff/21q2MTBEFoMvWNxNQmJiaGefPmoVBYNy9UKBR89tlnDR61ySo2UFBmQiGXER/u06BruNu5U1OC4EmcnpaaNWsWL730EpMnT2bw4MEAbNy4kYceeojc3FyefPJJlwcpCILgaraRmHMTnAuNxEycOJERI0aQlJREx44dHU5saqvrOZRRBECHUG+8mmm3Z1cL0KnILK646DbPFDyf0yM3H374IZ9++ilvvfUWo0ePZvTo0bz99tt88sknfPDBB00RoyAIgkOcWabd0JGYmJgYhg0b5nBiM3/+fNq2bcuVV15J27ZtmT9/PnDOTuAtcErKRvS68VyffvopPXv2xM/PDz8/PxITE1m+fHmdx5tMJmbOnEmHDh3w8vKiV69erFixohkjdi2nk5uMjAwGDRpU4/lBgwaRkZHhkqAEQRCcVVcSUZ+JEydy6tQp1qxZw6lTpxq1rLs29dX1tOR6G5uz01Ji5MbTxMTE8Oabb7Jr1y527tzJlVdeyZgxYzh48GCtx0+bNo3PPvuMDz/8kEOHDvHQQw9xww03sGfPnmaO3DWcTm46duzIjz/+WOP5H374gfj4eJcEJQiC4Axni4PP5exIjDPqq+tpqXtKncvW60aM3HieUaNGce211xIfH0+nTp147bXX8PHxYevWrbUe//XXX/PCCy9w7bXX0r59ex5++GGuvfZa3nvvvWaO3DWcrrn53//+x2233cb69evtNTebNm1i1apVtSY9giAIDeVoD5qmWKbtCnXV9US3bUfyygNAyx65sXUpLryYGvlJEpjK3HNvlQ4a0E/IbDbz008/odfrSUxMrPUYg8GAl5dXtee0Wi0bN25sUKju5nRyc9NNN7Ft2zbef/99fvvtNwC6du3K9u3bSUhIcHV8giBcpJzpQdOQ4uDmYKvrefDBBzGbzfa6nhKFH5IEYb4aQnw0bo2xMWw1NxfVFgymMng9yj33fiEd1N4OH75//34SExOpqKjAx8eHX3/9lW7dutV67IgRI5g1axaXX345HTp0YNWqVSxZsgSz2eyq6JuV08kNQN++ffnmm29cHYsgCALgfDfgupIId47a2NS2wuqbraeBlj1qA+fsDC6mpTxS586d2bt3L0VFRfz888+MHz+edevW1ZrgzJkzh/vvv58uXbogk8no0KED9913H19++aUbIm88h5Kb4uJi/Pz87I/rYztOEAShoRoyzdTQZdrNISYmplo8raHeBi7SaSmVzjqC4q57O0GtVttHL/v27cuOHTuYM2cOn332WY1jQ0ND+e2336ioqCAvL4+oqCief/552rdv75LQm5tDyU1gYCAZGRmEhYUREBBQ6x4itr1FWuoQliAInqOh00znJxGe6lBGy18pBRfptJRM5tTUkCexWCwYDIZ6j/Hy8iI6OhqTycQvv/zCrbfe2kzRuZZDyc3q1asJCgoCYM2aNU0akCAIgidPMzWW2SJxNLPl97gBCNRZR27EtJTnmTp1KiNHjqRNmzaUlJSwePFi1q5dy8qVKwG45557iI6O5o033gBg27ZtpKWl0bt3b9LS0pgxYwYWi4Vnn33Wnd9GgzmU3AwdOrTWx4IgCE3Fk6eZGuN0np4yoxkvlZx2IS1zBMDG3sSvXOwM7mmys7O55557yMjIwN/fn549e7Jy5UquuuoqAFJSUqrtlVZRUcG0adM4efIkPj4+XHvttXz99dcEBAS46TtonAYVFAOUlZWRkpKC0Vh9OLJnz56NDkoQhNbH0WXd52op00zOsHUm7hzhh0LespMBf601uTFbJEoMlfiJncE9xoWaWK5du7ba10OHDuXQoUNNGFHzcjq5ycnJ4b777quzjbOouREE4XzOLOtu7Wx7SnWL9HVzJI3npVKgVSkoN5kpKjOJ5EbwGE53KH7iiScoLCxk27ZtaLVaVqxYwVdffUV8fDxLly5tihgFQWjBGtM9uDVqDXtKneuiLCoWPJ7TIzerV6/m999/p1+/fsjlctq2bctVV12Fn58fb7zxBtddd11TxCkIQgvlqd2D3aU17Cl1Ln+tioyiCrEFg+BRnB650ev1hIWFAdYl4jk5OQD06NGD3bt3Ox3Axx9/TFxcHF5eXgwYMIDt27fXe/zs2bPp3LkzWq2W2NhYnnzySSoqKpy+ryAIzcO2rPtcntA92B3y9UYyi63vV11aSXJjWzF1UfW6ETye08lN586dOXr0KAC9evXis88+Iy0tjblz5xIZGenUtX744QemTJnCyy+/zO7du+nVqxcjRowgOzu71uMXL17M888/z8svv8zhw4eZP38+P/zwAy+88IKz34YgCM3EtqxboVAAtKpl3c6yNe9rG6zDR9Pg9Rwexb5iSkxLCR7E6f+7/vvf/5KRkQHAyy+/zDXXXMO3336LWq1m4cKFTl1r1qxZ3H///dx3330AzJ07l2XLlvHll1/y/PPP1zh+8+bNDB48mHHjxgEQFxfHHXfcwbZt25z9NgRBaEatdVm3s+ydiVvJqA1AgG3kRkxLCR7E6eTmrrvusj/u27cvp0+f5siRI7Rp04aQkBCHr2M0Gtm1axdTp061PyeXyxk+fDhbtmyp9ZxBgwbxzTffsH37di699FJOnjzJn3/+yd13313nfQwGQ7WOjBfaPkIQhKbRGpd1O6u11dvAuSM3IrkRPIdT01Imk4kOHTpw+PBh+3M6nY4+ffo4ldgA5ObmYjabCQ8Pr/Z8eHg4mZmZtZ4zbtw4Zs6cyWWXXYZKpaJDhw4MGzas3mmpN954A39/f/tHbGysU3EKgiC4yqHWOHKjFdNSgudxKrlRqVRuLd5du3Ytr7/+Op988gm7d+9myZIlLFu2jFdeeaXOc6ZOnUpRUZH948yZM80YsSAIgpWh0kxSdikAXVv4hpnnEgXFgidyelrq0Ucf5a233uKLL75AqWx4QVxISAgKhYKsrKxqz2dlZREREVHrOS+99BJ33303kyZNAqwrtPR6PQ888AAvvvhijRUZABqNBo1G0+A4BUEQXCEpu5RKi4S/VkWUv5e7w3EZf1FQLHggp7OTHTt2sGrVKv766y969OiBt3f1vVGWLFni0HXUajV9+/Zl1apVjB07FrA291q1ahWTJ0+u9ZyysrJal5SCdVdyQRAET3W23sbXc/ZgKsmE8gIwlIKxpOpzaS1fl1g/jHro+B8Y9Jj9EmenpcTIjadJS0vjueeeY/ny5ZSVldGxY0cWLFhAv379aj1+7dq1XHHFFTWez8jIqHPQwVM5ndwEBARw0003ueTmU6ZMYfz48fTr149LL72U2bNno9fr7aunzt+1dNSoUcyaNYuEhAQGDBhAUlISL730EqNGjbInOYIgCJ7obGdifzdHUmXDLFj1P+fPS14Hlz4ISut0VKC3mJbyRAUFBQwePJgrrriC5cuXExoayvHjxwkMDLzguUePHsXP7+zUqa23XUvidHKzYMECl938tttuIycnh+nTp5OZmUnv3r1ZsWKFvcj4/F1Lp02bhkwmY9q0aaSlpREaGsqoUaN47bXXXBaTIAhCU7DtKdXVE/aUKi+Eje9bH2sDQeMLGj9Q+4DG55zPvtW//vNZkMxQlgt+UUD1gmKLRULewjcDbS3eeustYmNjq/3ObteunUPnhoWFtdjdwG2cTm6uvPJKlixZUuMbLy4uZuzYsaxevdqp602ePLnOaajzdy1VKpW8/PLLvPzyy07dQxAEwRVMZguHM4rJ0xtJbB+Ml8qxEWNJks6O3HhCMfGOz8FQDKFd4eHNUEu9Yq3WvQ2lWaDPsSc3tpobiwQlhkr7TuGtlSRJlFeWu+XeWqXW4SnNpUuXMmLECG655RbWrVtHdHQ0jzzyCPfff/8Fz+3duzcGg4Hu3bszY8YMBg8e3NjQm53Tyc3atWsxGmsWjlVUVLBhwwaXBCUIguAJispM7E4pYNfpAnaezuffM0WUm8wAhPhouHdQW+4a2NbeyK4u6UUVFJWbUMpldAzzaY7Q62bUw5ZPrI+HPOV4YgPgHWZNbkpz7E9plAp0agVlRuvO4K09uSmvLGfA4gFuufe2cdvQqXQOHXvy5Ek+/fRTpkyZwgsvvMCOHTt4/PHHUavVjB8/vtZzIiMjmTt3Lv369cNgMPDFF18wbNgwtm3bRp8+fVz5rTQ5h5Obffv22R8fOnSoWi8as9nMihUriI6Odm10giAIzUSSJE7llbHzVD67UwrYeaqA41VLt8/l56VEo1KQU2Lg3b+O8fGaE9zWP5aJl7UjNqj2XzyHq4qJO4b5oFG6uT5w10Ioz4fAdnDJDc6d613Vz0yfU+3pAK2KMqOZgjIjbYId++UrNC2LxUK/fv14/fXXAUhISODAgQPMnTu3zuSmc+fOdO7c2f71oEGDOHHiBO+//z5ff/11s8TtKg4nN71790YmkyGTybjyyitrvK7Vavnwww9dGpwgCEJTytcb+XVPGltP5rH7dAF5+pqj0u1CvOnbNpC+bQPp1zaQDqE+mCWJZfsy+Gz9SQ5nFLNw8ykWbTnFyB6RPDCkPb1iA6pdw2Oa91UaYHPV+/RlT4LCycF7n6rCUn31/f/8dWrSiyouiqJirVLLtnHu2fJHq9Q6fGxkZCTdunWr9lzXrl355ZdfnLrnpZdeysaNG506xxM4/C87OTkZSZJo374927dvJzQ01P6aWq0mLCxMrFgSBKFF2JdayFebT/PHvnSMlRb782qlnJ7R/vSNC6RvG2tCE+xTs0+WHBljE6IZ0zuKTUl5zNtwkvXHcli2L4Nl+zK4tF0QD17enis6hyGXy87uKeXuepu930JJBvhGQa/bnT/fu+p9/7yRm8CLqNeNTCZzeGrInQYPHmzf5Nrm2LFjtG3b1qnr7N271+lNsT2Bw8mN7QdisVgucKQgCILnqTCZWbYvg0VbT/PvmUL7892j/RjdK4q+bYPoHu3n1LSRTCbjsvgQLosP4XBGMZ+vP8nSf9PZnpzP9uR8Oob5cP+QdhxIt62UcmNyY66EjbOtjwc/DsoGNDe1T0vlVnta7C/leZ588kkGDRrE66+/zq233sr27duZN28e8+bNsx8zdepU0tLSWLRoEQCzZ8+mXbt2XHLJJVRUVPDFF1+wevVq/vrrL3d9Gw3WoBbDx48fZ82aNWRnZ9dIdqZPn+6SwARBEFwhtaCMb7el8MOOM+RXTTupFXKu6xnJ3YltSYgNcElTva6Rfsy6rTfPXNOZhZtOsXhbCknZpTz3y/5qx7jNgZ+h8DToQqBP7TUXF+RdNS1VWn1aSuwM7nn69+/Pr7/+ytSpU5k5cybt2rVj9uzZ3HnnnfZjMjIySElJsX9tNBp56qmnSEtLQ6fT0bNnT/75559aG/t5OqeTm88//5yHH36YkJAQIiIiqr0pyGQykdwIguB2kiSxKSmPr7acYtXhLCxVDcwj/b24a2BbbusfS0gt002uEOmvZeq1XXn0yo78sP0MX25KJqOogg6h3gR517+qqslYLNamfQCJj4C6gdMqdUxL2XvdlLf+aamW5Prrr+f666+v8/WFCxdW+/rZZ5/l2WefbeKomofTyc2rr77Ka6+9xnPPPdcU8QiCIDRYvt7I0r1pLNp6mpM5evvzgzoEc09iHMO7hqFUOLVfcIP5eam4//L23Ds4jk1JubQL8b7wSU3lyB+QexQ0/tB/UsOv41NHciOmpQQP43RyU1BQwC233NIUsQiCIDjFUGlm16kC1h/PZWNSDgfTi7FtM+etVnBT3xjuHtiW+HD3dQVWKeQM6+zG9vWSBOvftT4e8AB4NWL7h3NHbiQJqkbuz05LiZEbwTM4ndzccsst/PXXXzz00ENNEY8gCEKdJEniWFYpG47nsOF4LtuS86gwVa/76xbpxx2XxnJDnxh8NA0qK2xdkv6BzH2g0sGAhxt3LVtyY6mEikLr1g2cOy0lRm4Ez+D0//kdO3bkpZdeYuvWrfTo0QOVqno3yscff9xlwQmCIGSXVLApKZcNx3LZmJRLdomh2uuhvhqGxIcwJD6EwR1DCPP1clOkHujcUZt+E8A7uHHXU2qsU1uGImuXYltyIwqKBQ/jdHIzb948fHx8WLduHevWrav2mkwmE8mNIAgusfdMIS//foB/U4uqPe+lkjOgXXBVQhNKp3Afl6x2apVOb4IzW0GhhsTa9/BzmneINbnR50BoJ+Di6nMjtAxOJzfJyclNEYcgCAIAFovE3PUnmPXXMSqrljl1j/ZjSHwoQzqG0KdtoMMbVl70bKM2CXeBn4sasfmEQf6Jal2KbZtnFpWbxM7ggkdo8IS00WgkOTmZDh06oFSKeW1BEBovs6iCKT/uZfOJPACu6xHJjNGXEOrbNMu2W7W0XXByDcgUMPi/rrtuLY38ArTWaSmLBCUVlfZkRxDcxek1kWVlZUycOBGdTscll1xibwD02GOP8eabb7o8QEEQLg5/Hcxk5Jz1bD6Rh06t4O2be/LRuASR2DTU+vesn3veCoFxrrtuLY381Eo53mrraJrodSN4AqeTm6lTp/Lvv/+ydu1avLzOFu4NHz6cH374waXBCYLQ+lWYzEz7bT8PfL2LgjIT3aP9+L/HLuPWfrGilqahsg7C0WWADC6b4tpr19XIr6qouEAUFQsewOn5pN9++40ffviBgQMHVnvjueSSSzhx4oRLgxMEoXU7klnMY4v3cDy7FIAHLm/P01d3Rq1snkZ7rZatG3G30faiX5epo5Gfv1ZFWmG5KCoWPILT7yA5OTmEhdVsSKXX68VfWYIgOESSJL7afIrRH23ieHYpIT4aFk24lBeu7SoSm8bKOwEHl1gfD3nK9deva2dw77NFxYJnKCkp4YknnqBt27ZotVoGDRrEjh076jw+IyODcePG0alTJ+RyOU888UTzBetiTr+L9OvXj2XLltm/tiU0X3zxBYmJia6LTBCEVimv1MCkr3by8tKDGCstXNkljBVPDOHyTqHuDq112Pg+SBaIvxoie7n++nXuL1U1LaUXIzeeYtKkSfz99998/fXX7N+/n6uvvprhw4eTlpZW6/EGg4HQ0FCmTZtGr15N8G+nGTk9LfX6668zcuRIDh06RGVlJXPmzOHQoUNs3ry5Rt8bQRCEc204nsOUH/8lp8SAWinnhZFdGD8oToz6ukpRKvz7vfXxkKeb5h72guI69pdq5SM3kiQhlZe75d4yrdbh/1fKy8v55Zdf+P3337n88ssBmDFjBn/88Qeffvopr776ao1z4uLimDNnDgBffvml6wJ3A6eTm8suu4y9e/fy5ptv0qNHD/766y/69OnDli1b6NGjR1PEKAhCK/DN1tNM++0AAB3DfPjwjgS6Rvq5OapWZtMHYDFB3BBoM6Bp7mFbCm4sAVM5qLTAxbN5plReztE+fd1y7867dyHTObaje2VlJWazudrCHwCtVsvGjRubIjyP0qAGNR06dODzzz93dSyCILRi8zdaG4De0jeGmWO6o1WLRnwuVZoNu7+yPm6KWhsbL39rx2Oz0To1FdAGODstJQqKPYOvry+JiYm88sordO3alfDwcL777ju2bNlCx44d3R1ek3M6ufnzzz9RKBSMGDGi2vMrV67EYrEwcuRIlwUnCELrIEkS6YXWofzHrowXiU1T2PIxVFZAdF9oP6zp7iOTWetuitOqJzcXybSUTKul8+5dbru3M77++msmTJhAdHQ0CoWCPn36cMcdd7Brl3vib05OFxQ///zzmM3mGs9LksTzzz/vkqAEQWhdCspMGCqtu3eH+4umfC5Xlg875lsfD3nKmoA0JXtR8Tldii+SPjcymQy5TueWD2dr0zp06MC6desoLS3lzJkzbN++HZPJRPv27Zvop+M5nE5ujh8/Trdu3Wo836VLF5KSklwSlCAIrYtt1CbER4NGKUZtXG7TbGsNTHh36NQMo+e25OacLsW2kZsiMS3lcby9vYmMjKSgoICVK1cyZswYd4fU5JyelvL39+fkyZPExcVVez4pKQlvb29XxSUIQiuSUVQBQKS/1wWOFJxWnAHbPrM+vvIlkDdDn6BaloMHXiTTUi3JypUrkSSJzp07k5SUxDPPPEOXLl247777AOuOA2lpaSxatMh+zt69ewEoLS0lJyeHvXv3olarax3U8GROJzdjxozhiSee4Ndff6VDhw6ANbF56qmnGD16tMsDFASh5cssso7ciOSmCax/21prEzsAOo248PGuUEuXYv+qguKichNmi4RC7AzudkVFRUydOpXU1FSCgoK46aabeO2111CprIloRkaGfX9Im4SEBPvjXbt2sXjxYtq2bcupU6eaM/RGczq5efvtt7nmmmvo0qULMTExAKSmpjJkyBDeffddlwcoCELLl141chMV4FxBpHAB+Sdhd9Vf3f95uelrbWxqGbnx11p/YUoSlFSY7DU4gvvceuut3HrrrXW+vnDhwhrPSZLUhBE1nwZNS23evJm///6bf//9F61WS8+ePe1NggRBEM6XUVVzEyFGblxrzetgqYSOwyFucPPdt46dwX00SkoNlRSWieRGcK8G9bmRyWRcffXVXH311a6ORxCEVihd1Ny4XuYB2P+z9fF/pjfvvW2N/M5ZLQXW0ZtSQyUFZUbiEDWYgvs0KLlZtWoVq1atIjs7G4vFUu21lt6yWRAE18sU01Kut/oVQIJLbmiaPaTqU9f+UrqqncFFUbHgZk4nN//73/+YOXMm/fr1IzIyUuwJIwhCvSwWyZ7cRPiJkRuXSNkKx1aATAFXTGv++/tUTUuV5YLFDHLr8v7Aqqmoolbe60bwfE4nN3PnzmXhwoXcfffdTRGPIAitTJ7eiNFsQSYTNTcuIUmwaqb1ccKdEOKGVvq64KpYLFBeYJ+m8q9aDl4get0IbuZ0QwSj0cigQYOaIhZBEFoh26hNqI8GlaIZerC0dkmr4PQmUGhgqJu6witUoA2yPj63kZ/24tg8U/B8Tr/TTJo0icWLFzdFLIIgtELposeN61gssOp/1seX3g/+0e6LpdZGfmd73QiCOzk9LVVRUcG8efP4559/6Nmzp70ZkM2sWbNcFpwgCC2fbRl4pL8oJm60Q79B5j5Q+8JlU9wbi08Y5B6tltwEiGkpwUM4ndzs27eP3r17A3DgwIFqr4niYkEQzpdRXLUMPECM3DSKuRLWvGZ9PGgyeAe7Nx77cvBzkxvryI2YlhLczenkZs2aNU0RhyAIrVRGoehx4xJ7v4W8JGsxb+Kj7o6m1mmpszU3YuRGcK9GVfelpqaSmprqqlgEQWiFMorEtFSjmSpg3VvWx0OeAo2ve+OBWrsUB4jNMz3K+vXrGTVqFFFRUchkMn777bdqry9ZsoSrr76a4OBgZDKZfdPM+gwbNgyZTFbj47rrrmuab6KBnE5uLBYLM2fOxN/fn7Zt29K2bVsCAgJ45ZVXajT0EwRByLA38BMjNw224wsoTgO/GOg30d3RWNXSpVhMS3kWvV5Pr169+Pjjj+t8/bLLLuOtt95y+JpLliwhIyPD/nHgwAEUCgW33HKLq8J2CaenpV588UXmz5/Pm2++yeDB1r1MNm7cyIwZM6ioqOC1115zeZCCILRMFotEVlXNTYQYuWmYimLY8J718bDnQOUhSaKtkZ++5shNcUXr3RlckiQqje75Q16pljtV2zpy5EhGjhxZ5+u2fnXO7PgdFBRU7evvv/8enU7X8pObr776ii+++ILRo0fbn+vZsyfR0dE88sgjIrkRBMEut9SAySwhl0G4r8bd4bRMWz6G8nwIjode49wdzVkX2Bm8uNxEoHfr2zyz0mhh3n/XueXeD8wZikqjcMu96zJ//nxuv/12vL09ay8xp6el8vPz6dKlS43nu3TpQn5+vkuCEgShdbBNSYX5eqEUDfycp8+FLR9ZH1/5IigatB1g07AlN6U51mwGUCnk+GqsMYq6m9Zv+/btHDhwgEmTJrk7lBqc/j+lV69efPTRR3zwwQfVnv/oo4/o1auZN28TBMGj2YuJRb1Nw2yYBcZSiOgJXce4O5rqbMlNZTkY9aDxAaxbMJRU7QzerhXuDK5Uy3lgzlC33duTzJ8/nx49enDppZe6O5QanE5u3n77ba677jr++ecfEhMTAdiyZQtnzpzhzz//dHmAgiC0XOliGXjDFaVaC4kB/vMyyD3rFxtqb1BqrcmNPsee3AToVKQWlLfazTNlMpnHTQ25g16v5/vvv2fmzJnuDqVWTv/fMnToUI4dO8YNN9xAYWEhhYWF3HjjjRw9epQhQ4Y0RYyCILRQmbYGfqKY2Hlr3wSzAdoOho7/cXc0Nclk4FP3FgyF5aLXTWv2008/YTAYuOuuu9wdSq0aNIEbFRUlCocFQbig9EKxr1SD5B63Nu0D66iNp3Z/9w6FwpRai4oL9K1z5KYlKS0tJSkpyf51cnIye/fuJSgoiDZt2pCfn09KSgrp6ekAHD16FICIiAgiIiIAuOeee4iOjuaNN96odu358+czduxYgoPd3Cm7Dg6P3Bw/fpw77riD4uLiGq8VFRUxbtw4Tp486dLgBEFo2WwFxWLkxkmbZoNkgU7XQJsB7o6mbqKRn0fbuXMnCQkJJCQkADBlyhQSEhKYPn06AEuXLiUhIcHegO/2228nISGBuXPn2q+RkpJCRkZGtesePXqUjRs3MnGih/RcqoXDIzfvvPMOsbGx+Pn51XjN39+f2NhY3nnnHT799FOXBigIQstl3zRTFBQ7TpLg+D/WxwMecm8sF1JLIz/7tJTYgsHthg0bhlS1kq029957L/fee2+911i7dm2N5zp37lzvdT2BwyM369atq7dJz6233srq1atdEpQgCC2f2SKRVWIAIEqM3Dgu+zCUZoLSC9okujua+tXSyM/fvr+UGLkR3Mfh5CYlJYWwsLA6Xw8JCeHMmTMuCUoQhJYvp8Rg71IbKhr4Oe5k1ebEbQd5TjfiutTSyO9sQbFIbgT3cTi58ff358SJE3W+npSUVOuUlSAIF6f0qh434b6aVtmGv8mcqEpu2l/h3jgcYU9uzt1fSuwMLrifw8nN5Zdfzocffljn6x988IFYCi4Igl2mrZg4QExJOazSAKc3WR93aEHJTW0FxWJaSnAjh5ObqVOnsnz5cm6++Wa2b99OUVERRUVFbNu2jZtuuomVK1cydepUpwP4+OOPiYuLw8vLiwEDBrB9+/Z6jy8sLOTRRx8lMjISjUZDp06dRPNAQfBAtmXgEWIZuOPObAdTmTVpCLvE3dFcWC3TUgGioFjwAA6vlkpISODnn39mwoQJ/Prrr9VeCw4O5scff6RPnz5O3fyHH35gypQpzJ07lwEDBjB79mxGjBjB0aNHa63vMRqNXHXVVYSFhfHzzz8THR3N6dOnCQgIcOq+giA0Pdsy8CiR3Dju5Frr53ZDPa8jcW1sBcXl+WA2gUJFgNa2M3gllWaL2FNMcAunmvhdf/31nD59mhUrVpCUlIQkSXTq1Imrr74anU7n9M1nzZrF/fffz3333QfA3LlzWbZsGV9++SXPP/98jeO//PJL8vPz2bx5MyqV9X+guLg4p+8rCELTyxQ9bpxnKyZuCVNSANpAkMmtPXnK8sA3wr5aCqwJTlAr3Blc8HxOdyjWarXccMMNjb6x0Whk165d1aay5HI5w4cPZ8uWLbWes3TpUhITE3n00Uf5/fffCQ0NZdy4cTz33HMoFGKvD0HwJLaCYtGd2EHlBZC+x/q4JRQTA8gVoAu2TkuVZoNvBEqFHF8vJSUVlRSWGUVyI7hFg7ZfcIXc3FzMZjPh4eHVng8PD+fIkSO1nnPy5ElWr17NnXfeyZ9//klSUhKPPPIIJpOJl19+udZzDAYDBoPB/nVtHZYFQXC9jEJRUOyU5PXWEZCQTuAf7e5oHOcdZk1uqtXdqCipqKRAFBULbtKiJkMtFgthYWHMmzePvn37ctttt/Hiiy9WaxV9vjfeeAN/f3/7R2xsbDNGLAgXp0qzhewSUXPjFDcvAZckCb1JT0ZpBkfzj7IjcwerU1bze9LvfH3oaz7Z+wlvbX+LVSmrqp9YS5fiAK11tKZIbJ7pVuvXr2fUqFFERUUhk8n47bff6jz2oYceQiaTMXv27Hqv+emnn9KzZ0/8/Pzw8/MjMTGR5cuXuzZwF3DbyE1ISAgKhYKsrKxqz2dlZdk37DpfZGQkKpWq2hRU165dyczMxGg0olbXHP6cOnUqU6ZMsX9dXFwsEhxBaGLZJQYsEijlMoJ9RAM/hzRzvc2OzB3M3j2bgooCio3FlBhLsEiWC57307Gf2DJuCyp5VW1NLV2KxXJwz6DX6+nVqxcTJkzgxhtvrPO4X3/9la1btxIVFXXBa8bExPDmm28SHx+PJEl89dVXjBkzhj179nDJJZ6zws9tyY1araZv376sWrWKsWPHAtaRmVWrVjF58uRazxk8eDCLFy/GYrEgr1pJcOzYMSIjI2tNbAA0Gg0ajXhzFYTmlGFr4OfnJRr4OSI/GQpOgUwBcZc1yy3f2/keB/MO1nheKVfip/azf/hqfPFT+eGn8eOXY79gMBvIK88jwrvqj9B6loOLaSn3GjlyJCNHjqz3mLS0NB577DFWrlxp30CzPqNGjar29Wuvvcann37K1q1bRXJjM2XKFMaPH0+/fv249NJLmT17Nnq93r566vyt1h9++GE++ugj/vvf//LYY49x/PhxXn/9dR5//HF3fhuCIJzHvgxcbJjpGNsS8Jj+oPFt8tsdzjvMwbyDKOVKPh3+KSFeIfhp/PBV++Kl8EImqz0h3Zi2kbTSNDL1mTWTm9JzkpuqFVNFrbDXjSRJVJ5Tx9mclBpNnf9tGsJisXD33XfzzDPPNCgxMZvN/PTTT+j1ehITPWsfNLcmN7fddhs5OTlMnz6dzMxMevfuzYoVK+xFxikpKfYRGoDY2FhWrlzJk08+Sc+ePYmOjua///0vzz33nLu+BUEQamErJo4Qy8Ad08xTUr8c/wWA/7T5DwMjBzp8XpgujLTSNLLLzk5B1b6/lDW5aY0jN5UGAx+Mv9kt9378q59RebnuD4a33noLpVLp9ADB/v37SUxMpKKiAh8fH3799Ve6devmsrhcwa3JDcDkyZPrnIaqbav1xMREtm7d2sRRCYLQGLZl4KKY2AEWM5xcZ33cDMXEZaYylp1cBsBN8Tc5dW64zvqHZ1bZObWS9uTmnJ3BxeaZHm/Xrl3MmTOH3bt3Oz0a1LlzZ/bu3UtRURE///wz48ePZ926dR6V4Lg9uREEofU528BPJDcXlLEXKgpB4wfRfZv8ditPraTUVEqMTwwDIgc4da49udGfk9z41Nw8M7AVb56p1Gh4/Kuf3XZvV9mwYQPZ2dm0adPG/pzZbOapp55i9uzZnDp1qs5z1Wo1HTt2BKBv377s2LGDOXPm8Nlnn7ksvsYSyY0gCC6XLjbNdJxtCXjcEFA0/VuybUrqpk43IZc51w0k3Lu+kZsckCSQyVr1aimZTObSqSF3ufvuuxk+fHi150aMGMHdd99tr3t1lMViqdZPzhOI5EYQBJfLKBTdiR1mKyZuhnqb4wXH+TfnX5QyJWM7jnX6/HqnpcxGqCgCbQD+Wtu0VOsbuWlJSktLSUpKsn+dnJzM3r17CQoKok2bNgQHB1c7XqVSERERQefOne3P/ec//+GGG26wl49MnTqVkSNH0qZNG0pKSli8eDFr165l5cqVzfNNOUgkN4IguJSx0kJOqfWvOLGv1AUYy+DMNuvj9sOa/Ha2UZuhsUMJ0YY4fX6YztrTplpBsUoLal8wllinprQB50xLtb6Rm5Zk586dXHHF2aTZ1vNt/PjxLFy40KFrnDhxgtzcs1OO2dnZ3HPPPWRkZODv70/Pnj1ZuXIlV111lUtjbyyR3AiC4FLZJRVIEqgVcoLFvkL1O73ZOuLhFwPBHZv0VhWVFfxx4g8Abu7UsNU+tuXfWWVZWCTL2Wktn1DIL7EWFYd0tPe5KRE7g7vVsGHDkCTJ4eNrq7M5/7n58+c3MqrmIf7FCYLgUrYeN+H+GuSigV/97EvAh4EL+5fU5u/Tf1NsLCbSO5LEyIb1JAnWBiOXyam0VJJfkX/2hfOWg/t5nf27uUismBLcQCQ3giC4VLq93kZMSV1QM+4nZZuSujH+RhRyxQWOrp1KriLEyzqdVWdRMaBUyO0JjlgOLriDSG4EQXAp2zJw0ePmAkqyILtq+4Mmrrc5WXSSXVm7kMvkDSokPpd9xZS+luSmtOYWDK1xObjg+URyIwiCS9mmpUR34guwrZKK6Hl2Z+0msuTYEgAuj7787LYJDVRrUXGt+0uJomLBfRxObk6ePNmUcQiC0ErYpqXEvlIX0ExLwI1mI7+f+B2w9rZprFqXg9e6M7jYPFNwH4eTm549e9K9e3deeOEFtm3b1pQxCYLQgmUW27oTi5GbOknS2WLiJp6SWp2ymkJDIWG6MC6LbvyO47VPS1WNPJ3Tpdi2eebOfYdITU1t9H0FwRkOJze5ubm88cYbZGdnM2bMGCIjI7n//vv5448/qKioaMoYBUFoQdILxdYLF5RzFEoyQKGBNk27m/LPx6xbBdzQ8QaU8sZ3/6i9kV/VyE3p2ZGb9FPHAZi74Gvatm3bYpYQC62Dw8mNl5cXo0aN4osvviAjI4NffvmF4OBgnnvuOUJCQhg7dixffvklOTk5F76YIAitkqHSTK69gZ9IbupkG7Vpm2htgtdEUopT2Ja5DRkyboy/0SXXrH/zTOvITWpqKquWLwVA4eWLxWLhwQcfFCM4QrNpUEGxTCZj0KBBvPnmmxw6dIg9e/YwZMgQFi5cSExMDB9//LGr4xQEoQXILrYmNmqlnCDRwK9uzbQE3Lb8e1D0IKJ8olxyTVtyk12WfbZBnG1aylAElQaOHz+OuawEALnWF7BuynjuVgCC0JQcTm6mT5/Orl27an0tPj6ep556ivXr15Oens7VV1/tsgAFQWg50s/ZU0rWxE3pWqxKI5zaaH3chMXEJrOJ35J+A+CW+Ftcdt2wqimo8spyio3F1ie1gWCb8tLnEB8fj2QoBUDu5QOAQqGw7yQtCE3N4eQmNTWVkSNHEhMTw8MPP8zy5csxGmv2LwgODiY+Pt6lQQqC0DLYloGLKal6pO0Ekx50IRDeo8luszZ1LfkV+QR7BXN57OUuu65GoSFQEwicMzUlk1VbDh4TE8Oj998LgFzrh0Kh4LPPPiMmJsZlcQgXtn79ekaNGkVUVBQymYzffvutxjGHDx9m9OjR+Pv74+3tTf/+/UlJSanzmiaTiZkzZ9KhQwe8vLzo1asXK1asaMLvomEcTm6+/PJLMjMz+e677/D19eWJJ54gJCSEm266iUWLFpGfn3/hiwiC0Kpl2Bv4iZVSdbJPSQ0FedO1GvvlmHVK6ob4G1DJVS69tiON/G4dez0A0e3iOXXqFBMnTnRpDMKF6fV6evXqVWepyIkTJ7jsssvo0qULa9euZd++fbz00kt4edX9x8m0adP47LPP+PDDDzl06BAPPfQQN9xwA3v27Gmqb6NBnCqdl8vlDBkyhCFDhvD2229z+PBh/vjjDz777DMeeOABLr30UkaPHs0dd9xBdHR0U8UsCIKHyiiyTktFiJGbujXDEvC00jQ2p28G4MaOrikkPleYLowj+Ufq3YIhsKrPjcGiECM2bjJy5EhGjhxZ5+svvvgi1157LW+//bb9uQ4dOtR7za+//tp+HsDDDz/MP//8w3vvvcc333zjmsBdoFF/NnTt2pVnn32WTZs2cebMGcaPH8+GDRv47rvvXBWfIAgtiH0ZeIAYualVeSGkVdUuNmEx8ZLjS5CQGBg5kFi/WJdf/9yiYrvzGvnZ+tyUGCoxmS0uj8FdJEnCYjS75cOZHb4vxGKxsGzZMjp16sSIESMICwtjwIABtU5dnctgMNQY2dFqtWzcuNFlsblC45seVAkNDWXixIli6FEQLmKZxVXdicXITe1ObQDJAsEdIcD1SQdApaWS347/BrimI3Ftal8OXr2Rn59WhUxm7VdYVG4ixEfTJLE0N8lkIX36ZrfcO2rmIGTqhm16er7s7GxKS0t58803efXVV3nrrbdYsWIFN954I2vWrGHo0KG1njdixAhmzZrF5ZdfTocOHVi1ahVLlizBbDa7JC5XEXtLCYLgMhmFtn2lRHJTq2ZYAr4hdQPZ5dkEeQXxn9j/NMk96q25qZqWUshl+HmJ/aU8lcViHU0bM2YMTz75JL179+b555/n+uuvZ+7cuXWeN2fOHOLj4+nSpQtqtZrJkydz3333IW/C+rGGcNnIjSAIF7cKk5k8vXUFpSgoroOt3qYJl4D/fNzakXh0h9GoFK4tJLZxtEtxgE5FUbmpVe0MLlPJiZo5yG33dpWQkBCUSiXdunWr9nzXrl3rnWIKDQ3lt99+o6Kigry8PKKionj++edp3769y2JzBZHcCILgEllVe0p5qeT2HaGFcxSchvyTIFNAXOP3eKpNpj6TjWnWX0w3xTfNlBSck9zUOnJTfX+p07SukRuZTOayqSF3UqvV9O/fn6NHj1Z7/tixY7Rt2/aC53t5eREdHY3JZOKXX37h1ltvbapQG0QkN4IguIStmDjKXysa+NXGtgt4TD/w8m+SW/x6/FcskoV+4f2I849rknvA2WmpElMJZaYydCod+NiSm9p2Bm89IzctSWlpabWu0MnJyezdu5egoCDatGnDM888w2233cbll1/OFVdcwYoVK/jjjz9Yu3at/Zx77rmH6Oho3njjDQC2bdtGWloavXv3Ji0tjRkzZmCxWHj22Web+9url2dNkgmC0GKJZeAX0MRLwM0WM0uSlgBwc6ebm+QeNt4qb3xU1s7D9qmpc0duquo5bCN4ReWtZ+SmJdm5cycJCQkkJCQAMGXKFBISEpg+fToAN9xwA3PnzuXtt9+mR48efPHFF/zyyy9cdtnZkcWUlBQyMjLsX1dUVDBt2jS6devGDTfcQHR0NBs3biQgIKBZv7cLESM3giC4xNnuxKLepgaLBU6usz5uomLiTembyNRn4q/xZ3jb4U1yj3OF68IpLSolqyyLdv7trB2XASQzlBeAd7C9101m1b8NoXkNGzbsgsvHJ0yYwIQJE+p8/dxRHIChQ4dy6NAhV4TXpMTIjSAILmEbuYkKaMUjN6ZyyNhnnWKq6sTrkMx/oTwf1L7WaakmYOtIPKr9KDSKpl92XWPFlFINXgHWx1UrpnrFWqffdpwSHeyF5iVGbgRBcIlWtQy8ohhyj0HOUcg5UvX4iLUomHP+EvaPhagEiO4D0X0hsjd4+dW8nm0JeNxl0AQrmDL1maxLtY4MNfWUlE2Yzro6qlojP+9QqCisSm66kNjeOpqzP62I4gqTfWm4IDQ1kdwIguAS6S1xX6lKI6TvgawD5yQzR6Ekve5zvAKsu2AXJEPRGevH4aVVL8ogJB6i+lgTnqg+ENHjbDFxEy0B//rQ15glM/3C+9EhoP72+a5S63JwnzDIO24vKo7w96J9iDcnc/VsP5nP8G7hzRKbIIjkRhAEl8ismpaK9ORpKYvFmsgkr7PWwJzebN2huzY+4RDaGUI6Wz+HdobQLtbRCZkMKoogfS+k74a03dYkqeiMNUnKPQb7vrdeR660diWGJqm3KTIU8dOxnwCY2KP5OsTX3sivepdigMQOwZzM1bP5RJ5IboRmI5IbQRAardxopqCql0mknweN3EiStbeMLZk5tQHK8qofow2yTinZEpiQzhDayTo6Ux8vf+vO3u3PaVNfmnNOslP1uazqF31QB+uojot9d+Q7yivL6RzYmcFRg11+/bo42sgvsUMw325LYfOJXAShuYjkRhCERrMVE+vUCvy0bn5bKcmE5PXWZCZ5nXU05Vwqb4gbDO0uh3ZDIbw7uKp1vE8odBph/YCqjZXOQOZ+6/SUi/v/lFeWs/jwYgAmdJ/QrP2Fak9uqm/BADCwfTAARzJLyNcbCfJWN1uMruTKTSuFurnq5yySG0EQGi3Tvgzcq/l+wVosUHjKmjhkHrBON2UegKKU6sfJVRB7qTWRaT/UOkrTRNsS1CCTQUAb60cT+PX4rxQYCoj2iebquKub5B51sSU3+RX5GM1G1Ar1OdNSZ5ObEB8NXSJ8OZJZwtaTeVzbI7JZ42wshcLajdhoNKLVetCoZCtlNFobPtp+7g0lkhtBEBotval73Bj1kHUIss5JZLIOgrG0loNlENnzbDLTJhHU3k0TlxuZLCa+OvgVAPddch9KefO+nftr/NEoNBjMBrLLsonxjbEWFEO15AasozdHMkvYfCK3xSU3SqUSnU5HTk4OKpXK4zaIbE0sFgs5OTnodDqUysb9exbJjSAIjZZRWFVM7Mpl4Ge2w475kLYT8k5QbQm2jUIDYV2sUz7hPSCiu3WaSRvgujg81IrkFaTr0wnyCmJMxzHNfn+ZTEa4LpyUkhSyyrKsyU0t01IAgzoEs3DzKbacyKvlSp5NJpMRGRlJcnIyp0+fdnc4rZ5cLqdNmzaNHgEWyY0gCI2WUbVpZmRAI0duLBY4vhI2zYGULdVf8wm3Ji4R3c8mMsHxoLj43sYkSeLLA18CcFfXu/BSumeFWrh3VXKjP28LhvMaHA5oH4xcBidy9GQVVxDu58Er6mqhVquJj4+3T5kITUetVrtkdOzie1cQBMHlGj1yU2mAfT/C5g8ht2qXYoUaet4Kl9xoHZmxTXkIbEjbQFJhEt4qb27rcpvb4qhRVGxLbkx661Ri1XSgv1bFJVH+7E8rYsuJPMYmRLsj3EaRy+V4ebWspOxi5lBys3Tp0gsfdJ6rrrpKFF8JwkUi45yCYqdUFMHOBbD1UyjNtD6n8YN+E2DAQ+DXsuozmsv8/fMBuLXTrfipa+mI3ExqdCnW+ILSCyorrFNT59Q6DeoQ3KKTG6FlcSi5GTt2rFMXlclkHD9+nPbt2zckJkEQWhhbchPl6LRUcTps/QR2LgRjifU53yhIfAT6jK99CwMBgN1Zu9mdvRuVXMVd3e5yayw1Rm5kMuvoTdEZayO/wDj7sYkdgvls/Uk2nxT9boSm5/C0VGZmJmFhjg0L+/r6NjggQRBaljJjJUXl1gZ+F9xXKvuwdepp349gsZ5DaFcY/Dh0v9m6+aJQL1utzegOo+0jJ+5SZ5fiojPVGvkB9I8LQimXcSa/nDP5ZcQG6ZozVOEi41ByM378eKemmO666y78/MRfXoJwMUiv2jDTR6Osf2PENW/AujfPft32Mhj8X4i/yuXN7Vqr4wXHWZe6Dhky7r3kXneHQ4QuAoDMssyzT3rXvhzcW6OkV2wAu04XsOVEnkhuhCblUHKzYMECpy766aefNigYQRBankxH6m2K0mDDu9bHXUdbk5qYfs0QXeuy4ID1vXh42+HE+ce57LqSJCGVl2MuKsJcXGz9XFSEpbgYc1HV18VFWIpL0A0cQOAttwBna25yy3OptFRae+3UsRwcrHU3u04XsOVkHrf2j3VZ/IJwvkatljKZTBw7dgyz2Uznzp3RaDSuiksQhBYi3b5hZj2ju9vmgqUS4obAbV83U2StS3ppOn8m/wnAxO6N3yCzdOMmst9+m8q8PMzFxWAyOXRe8YoV+I8ahdzLiyCvIJQyJZVSJXnledZpKp+6k5vE9sF8uDqJzSdykSSpWbeLEC4uDU5uNmzYwO23347JZKKyshKlUsmiRYu45pprXBmfIAgeLqNqWiqyrt4lhhLYZe2ky6DHmimq1uerg19hlswMjBzIJSGXNPp62bPew3DsWPUnlUoUfn4o/P1R+PkhD/BH4edvfy5v4UKksjJMaWloOnRAIVcQqgslQ59BVlmWNbmpZ+SmT9tA1Eo5WcUGTubq6RDq0+jvQxBq43ByY7FYqjXWeeKJJ/j2228ZNmwYAPPmzePhhx8mOTnZ5UEKguC5MuwjN3UkN7u/BkORteFex6uaMbLWo6CigCXHlwDWDTIbq/zgQQyHDiNTqWj79SKUYWEo/P2R6XT1jqaUrFmD4fBhjCkpaDp0AKwrpmzJDVDrzuA2XioFfdsEsuVkHltO5InkRmgyDrcBHDBgALt377Z/bTQaadPm7GZwbdq0oaKiwrXRCYLg8ezLwGvbV8pcae1hA5D4qOt2377ILD6ymApzBd2CuzEwcmCjr1f0yy8A+F41HG3v3qiiopB7e19wmkgda62TMZ05u9N6jRVT9s0za1/yndjBukt4S9yKQWg5HH6n+eijj5g0aRJPPvkker2el19+mb59+zJw4ED69u3LTTfdxGuvvdaUsQqC4IFsIze1LgM/vNS6S7cuBHrd3syRtQ5lpjIWH14MWGttGlunYikvp+iP/wMg4OabnTpX3caa3BhTziY3tqLiGl2K9TVHbsBaVAyw5WQeFkst+4UJggs4PC01YMAAduzYwdtvv03fvn15++23OXr0KNu2bcNsNtO/f3+io0XXSUG42NhqbqLOn5aSJNjykfVx/0mgEh3LG+LnYz9TbCymrV9b/tPmP42+Xslff2EpKUEVHY1uoHOjQKqYquTmTIr9uRqN/GzbZJTlW0fuztv7q2dMADq1gny9kWPZJXSJEG1DBNdzaoxYoVAwdepUli1bxocffsjDDz9M3759GTt2rEhsBOEiVFJhosRQCUDE+dNSKVshbZd15+7+k9wQXctnMptYdGgRAPddch8KuaLR1yz82Tol5X/TjcicnCa0jdyYzqTan6sxLaUNAmSABOX5Na+hlNMvLgiAzUliakpoGk79yz548CC//PILZrOZv//+m9GjRzNkyBA++eSTpopPEAQPZutx4+ulxEdz3kCwbdSm1+1nlwcLTlmWvIyssixCtaGM6jCq0dczJCdTtmMHyOUE3HCD0+erquosTampSBYLcLaRn33kRqEEnXXqqbaiYjg7NbVZ1N0ITcTh5GbWrFn079+fd955h8TERD7//HPGjx/Ptm3b2Lp1K4mJiezfv78pYxUEwcOk11VMnHcCjiyzPk6c3MxRtQ4WyWLfauHubnejVjR+a4qiJdYVV96XDUYV6fympKqICFAqkYxGKrOsyYxtWiq7LBuLZE146lsODmeTm23JeZhF3Y3QBBxObt5++22WLVvG1q1b2b17N7NmzQIgJCSERYsWMXPmTG699dYmC1QQBM+TWdcy8K2fABLEj4DQTs0fWCuw5swakouS8VX5ckunWxp9PclkovC33wDnC4ltZEolqugo4GxRcYguBBkyTBYTBRUF1gPtK6ZqT24uifLH10tJSUUlB9OLGhSLINTH4eRGkiR7nxuFQoEkVc+2r7rqKvbs2ePa6ARB8Gi2faWqbb1Qlg97vrU+HiRGbRpCkiS+3G8dtbm9y+34qBvfD6Z0/XrMObkogoPxrepP1hDq2KqpqaqiYpVcRbDWOhKTXVY1DeVT+/5SNgq5jAHtxNSU0HQcTm6eeeYZrr32WgYNGkTv3r2ZMmVKjWO8vC6wI7AgCK2KvYHfudNSO+dDZTlE9LRutyA4bWfWTvbl7kOj0DCu6ziXXNNeSDxmDDJ1w6e4VLExABjPLSo+f8WUbVqqjpobOGdJuEhuhCbgcHLz9NNPs3XrVp588kk2btzIAw884LIgPv74Y+Li4vDy8mLAgAFs377dofO+//57ZDIZY8eOdVksgiA4LuP8TTMrDbD9c+vjQY+J3b4byLZCamzHsYRoQxp9PVNWFqXr1gEQcPNNjbrW+SM3cE5yoz+/103tjfzgbDO/HafyMVZaGhWTIJzPqdVSPXr04JZbbqFLly4uC+CHH35gypQpvPzyy+zevZtevXoxYsQIsrPrzvgBTp06xdNPP82QIeIvQ0Fwl7PJTdXIzf6foDQL/KLhEudX4wjWqZ0NqRsAXDZqU/Trb2CxoO3TB0379o26Vm2N/OzLwWs08qt9Wgqgc7gvQd5qyoxm9qUWNiomQTifU8nNoUOHeOSRR0hISCAyMpLIyEgSEhJ45JFHOHToUIMCmDVrFvfffz/33Xcf3bp1Y+7cueh0Or788ss6zzGbzdx5553873//o30j/0cVBKFhJEkio/CcgmJJgi0fW18c8CAoVG6MruX6Pel3zJKZPmF9aO/f+Pc3yWKhsGqVVEMLic+lqhq5MZ6pp0uxveam7j9S5XIZie3F1JTQNBxObpYvX05CQgJ79uxhzJgxTJ8+nenTpzNmzBj+/fdf+vTpw8qVK526udFoZNeuXQwfPvxsQHI5w4cPZ8uWLXWeN3PmTMLCwpg4ceIF72EwGCguLq72IQhC45UYKtEbzUDVtNSJ1ZB9CNQ+0Ge8m6NrmSySxb5B5o3xN7rkmmXbd2BKSUHu7Y3fNSMafT11Vc2NpagIc5F1pVOdNTf1TEsBDBT9boQm4vD2C88//zzPPfccM2fOrPHajBkzmDFjBs888wwjRjj+P09ubi5ms5nw8PBqz4eHh3PkyJFaz9m4cSPz589n7969Dt3jjTfe4H//+5/DMQmC4Bjbtgv+WhU6tfJs076Eu0Eb4L7AWrAdmTtILU3FR+XD1XFXu+SahT//DIDfddch1+kafT25TociJARzbi7GlDNoe/gT4V3VyO/8zTNLs60jenXUXtmKinelFFBhMuOlanwHZkEAJ0Zujh07xp133lnn63fccQfHjx93SVB1KSkp4e677+bzzz8nJMSxIrupU6dSVFRk/zhzzlCqIAgNl25fKeUFWQetIzcyOQx8yM2RtVy/HLeuaLqu/XVolY3fi8tcVETJX38BEHBL46ekbOy7g6da30/PHbmRJOnsyI3ZAIaSOq/TPsSbcD8NxkoLu1MKXBafIDg8chMXF8eyZcvo3Llzra8vW7aMtm3bOnXzkJAQFAoFWVWdLm2ysrKIiIiocfyJEyc4deoUo0adbUNuqWoBrlQqOXr0KB06dKh2jkajQaPROBWXIAgXZtt6ISpAe7bWputoCIxzX1AtWGFFIf+c/gdw3ZRU0R//h2Q0ouncGa/u3V1yTbAWFZfv2WMvKrbV3JRXllNiKsFP7QcqbzDprUXFXrVvjimTWetuftubzpYTeQzq0PiVYYIATiQ3M2fOZNy4caxdu5bhw4fbp5KysrJYtWoVK1asYPHixU7dXK1W07dvX1atWmVfzm2xWFi1ahWTJ9ds/tWlS5caWzxMmzaNkpIS5syZQ2zVXxOCIDQ9WzFxvK4U9v1ofXLQY26MqGX7v5P/h8liomtQV7oFd2v09SRJsk9JBdx0EzIXLss/W1RsXQ7upfTCX+NPkaGIbH22NbnxCYWCquQmuEOd1xrUIYTf9qaz+UQeT7ksQuFi53Byc8sttxAdHc0HH3zAe++9R2ZmJgAREREkJiaydu1aEhMTnQ5gypQpjB8/nn79+nHppZcye/Zs9Ho99913HwD33HMP0dHRvPHGG3h5edH9vL8+AgICAGo8LwhC07LtK3VVye9gMUHsQIjp5+aoWiZJkuxTUjfFN64PjU3FwUMYjhxBplbjP7rxm26ey747+LnLwXXhFBmKyCrLomNgR+vUVMGpepeDw9l+N/+eKURvqMT7/A1YBaEBnPpXNGjQIAYNGuTSAG677TZycnKYPn06mZmZ9O7dmxUrVthHhlJSUuzbPgiC4DkyisrRUkHPTOsvZbHVQsPtz91PUmESXgovRrYf6ZJrFv78EwC+V12FouqPQFdRVY2Sn7scPFwXzrGCY+esmKpaDl5Pl2KA2CAdMYFaUgvK2XEqn2Gdw1waq3BxalCKXFRUVG3kxt/fv1FBTJ48udZpKIC1a9fWe+7ChQsbdW9BEBomo6iCmxXrUZuKIbAddL7W3SG1WLZRm6vjrrZO6TSSpbyc4v+z7sre2I7EtbEVFFdmZmIxGpGr1Wcb+Z2/YuoCy8HBumrqx52pbDmRJ5IbwSWcGhL54osv6NatG0FBQXTr1o2uXbvaH8+fP7+pYhQEwcNIkkRWYRkTFcutTyQ+CnKxjLch9CY9y5OtP0dXFRIXr1yJpbQUVUwMugEDXHLNcymCg5HpdCBJmFLTgFoa+dl73dQ/cgPYC4mbo99NcV4eyx99l7WPzuWPJ9/k0MZNTX5Pofk5PHLzzjvvMGPGDB5//HFGjBhRraD4r7/+4r///S8FBQU8/fTTTRas4JlyUlLY9un3eEX40+uGkYS2aePukIQmVlRu4jLzduLUWUheAch6u2abgIvRiuQVlFeWE+cXR5+wPi655tlC4huRNcG0vkwmQx0bi+HoUUxnUtC0b0eErqrXTY0uxfXX3MDZupuD6UUUlZnw1zVNd+v1C77B/18vevieTfgsf1Sy75dfyDVkUuavp98DtxDRrl2T3F9oPg4nNx999BELFizg1ltvrfZ8165dGTZsGL169eKZZ54Ryc1F6NBbK+jtmwgZUP5xMkcq91FqKkZvLqGMEir9LYT36UTvUSNRO7gsPyclheTtu8k/eYbK/HIol5Cb5UhBMnrfOZrozp2a+LsS6pNRVMG9WKc9ZP0ngtrbzRG1XLaOxDfFu2ZFkyE5mfKdu0Aux/+GptvfS93GmtzYloPX7FJsa+R34eQm3M+L9qHenMzRsy05j6svqdkKpDGMBgN/PTObS7z6ovLSYDRXkF6eQpA6FD91IEGaMII0YSBBxafJ7DZsI7cyE3O0jCGP3oePv+NThelJSaTuPUDRmQxUPl4MHHcrXt7i/4/m5nByk52dTY8ePep8vUePHuTmXnhuVWhddiz5nTifeABMFgMquQYflT8+qnPqsCzATkjbvpFSUxGllSXozcVYZGZUaFDLNKjlGtQKDRq5FxqFFyq5hiiCicL6Fx22fmZGMH+ZwX7jAQpMeZTICvDqHMjg+8Y16g3EaDCw/+/V5B09SUi3jnS/cpjDiVhrUVpUzIlt28g5fJKKrCIos6AwqVBLGtQy638XtVyDRuGFRu5FtPxd/snazfBL73B36C3WsYJj7Mvdh1KmZFQH16xoKvrFWr/jM2QIqlr6hbnK+cvBa9bcOD5yA9a6m5M5ejafcG1yc3z7DnK/Pkhvb+timNyKTEr7mbnsLuv2PVt//IW8DScIkEIJ84pAq/QhTBtNGNFQDNmvbuNgRSYFlhwkLCglNSqZGpVMg0quQi3XoJKrre9hcg0KufLse1cWpM/YTIExl0JTHmU6PW2u7kOvq69y2fcn1M7h5KZ///68+eabzJ8/H6Wy+mlms5m33nqL/v37uzxAwbOV/pNOpF8QuRWZdHtrNPv/+oeMbYeRF0roJB+8FX74qPzwVvqhkqsJ1IQSqAl16NoWyYLBUo7RbMBgrsAimfFXB6FVele/TqrtDSTP+gaiLSV6eG/6jDy7FUh6UhJHV61Hn5yLTA8asxat3ButQodW6Y1O4UO43IdwesI6SFuzgVJTCWWVJegtpVTI9Fh8Jfy7xpIw5jqn/pIzGgxkn0gi40gSxenZGArL8Ar2IaJHFzr279ckSVROSgqndu6h4FQaxrxSKLMgNylQWlTWhPKcN2SNQoNabk0og2VeBFPVY8Wr6qMe4V5xpFJJjMu/g4uDbdTmijZXEKwNbvT1JJOJwt9+B8C/CQqJz2VfDn4mFTg7clNsLKbMVIbOgZ3Bz5XYPoRvtqaw9aTr6m6WTX+XjmVdifXugEWycLTkXxLfuLfa/78Db70JqiYkjAYDGz5fhPFwMcGKcEK8IlArvIj2jiOaOIfva5EsGC0VKGUq1AovwrUxhGur/i9ZDUdW/h8FxjyKLHmYw6DvPTfUOhVWWlTMgZV/k3foNFKBCXWlBg06tAodOqU3WoUPCpkCfWUJ+soSysyllFNKpc6Mb6cweo+5noAwx95v62I0GDBWGJx6z/MEMkmSJEcO3LdvHyNGjMBkMnH55ZdXq7lZv349arWav/76y+P7zRQXF+Pv709RURF+fi3rP5anObhmLbrlZlRyNXvMmxn1znN1HpuXnsHeX5dRdjIXTYUXOpkvMuSYpAqMGKiUmTBrzMh9VOiiAgm/pDPtE3rXGI0xGgzsWPI7+dtO4mP0J1AdQoA6GKW85hx9qakYk8WAVumNl+LCe+pIkoTRUoFa7lXv9IBZMluTHlMJenMplZIJpUyFUqZCJVehkqurPVbJNchltdc9WCQzBnMFBksFRnMFBosBo6UCo2TAJDdgUZnBV4lcqcBcYkRmBEWlouqvR5X1L8iqROXcvx5r+3k4ymAut8dkMFecjUdmwKwyI/NV4KX2p7O+CwZzBT8OW8XU695s8P0uVgazgSt/vJJiYzFzh89lcPTgRl+z5J9/SJ38GIrgYOLXrkGmarqd2Us3buLMpEmoO3agw//9HwADvh1AWWUZf4z9gziVH7xd9Qt7Wg4o1fVeL6/UQN9XrR2ad04bTohPw5P+4rw8drz0HfG+PZDL5JSaijjhf4zrpk9x+jobP16EKlOOvzIYi2TBZDFikoxUyoxUykxYVGYkrRxVgBafqFCiLulCTLeuqDUaCrNz2PLld3DGiJ8siEB1CH7qwBr3sUhmCo35FBnzUcgUaJXeaBXe6JTeyGUNL9S3SBbKKkut71eV1sTHoKpABsgrFSgsSpSoa7x/qeQqlDK1/X1FhgyjxfY+ZbB/NkoVmGRGKpUm0MpQBXsT1CGG9gMvJTgqssFx18WZ398Oj9z07NmTY8eO8c0337B161ZOnjwJWJeCv/rqq4wbN04kCxeZjJ/208WvNwWGXEa8+US9xwZHRfKfRyc1+p5qjYbBd9wK58yEFGbnsHXh91hSKvAniAB1CH6qQHxU1f89mixGyipLKa/UU24uo0LSY1BWgJ8C/45RdLv6CmKjIslMTubgsn8oO5WPqkyFVuaNTuGLt8oHb6UvCpkSX1UAvqoAp2K3vTFWSiZ7IiK3vZFRz5SasepDwdnpOQfvZ7RUYLQYrG9EFgMmi9H6GQOVcusbMzo5mhBfAtvH0DFxIDEO/KVnKCoj541daBReZK//l/Sh6UT5RDkenMCq06soNhYT6R3JwMiBLrlm4U9VhcQ3jG3SxAaqj9xIFgsyuZxw73CSi5LJLssmLrwNyBQgmaEsF/zq//cR7KOhS4QvRzJL2Hoyj+t7Nuzfk61ouLNfLwBOlyYRcV9Prut7vdPX8gsO5trpTzYoDoCAsFBGPv94teeOb9/B0SVr0BRr8FcGE6QJxUuhI0gTSlAto9oWyUK5uZSySj3llXoqJD0VsnLMWgvamACUOjUlSdkoSxVoqXqvUvrgrfRDKVfho/Kr8V7YEBqFFo1CC/X9s8qzfpRvT+Lfik30mu26/cyc5VSfG19fXx5++GEefvjhpopHaCFO7tlLO+8uAJyWjtFD03SFixcSEBbKNc9Wb/t/fPsOjvy2BgwS6ggfYhN707H/ZQ5NAUW0a0fE5Ptrfa20qJi9f/xJwaEUFMUyvCzeKGRKzBgxSSbM8kosSjOSSobcR4Um0Ae/qDDCO3cgslOnavfPSUnhxNYdFJ5Mp7KwDFkZKMxVNS5y61SRrcZFLpNjNFv/YjSZjZgkg/WxZLQmKUoLkpcMpb8X3hFBhMS3o31CnyYrZNT46zCYK9AovOiSH8v8/fN5KfGlJrlXa2XrbXNDxxtQuGAZvSkri9INGwDwv7Fpp6QAVJGRoFAgGQxU5uSgCg8nXGdNbrLKskAutxYVl2ZZG/ldILkB66qpI5klbDnhfHJTW9HwIeNurv+o7hFld4i/tD/xl54t4TAaDGz7YQlFu0+jM/lQSSVGpQFZoIrgbm3pPuKqBk0JGQ0G/l22gqy9x5EVWPAy69ApfNApfLBQNQJlMVEpVX1grPX9yz8mHLlaTcGJFCqyi5D0FpQmJSpJg0pmrZO01ktqUCu80Mi1yGVyzFKlK39sTnNZn2uTyURGRgZtxDLgi8Lxz9dwiV8/SkyFDPuf5yW757+BuIqPvx+X3XW7S64V2qZNi142X27Ro1F4EWqKYG7SEu7veT8R3k1XwNqapBSnsD1zOzJkjO041iXXLPr1V7BY0Pbri6Z90y9llqlUqKKiMJ05gyklxZ7cANW7FJdm1d/Iz2KGojOQl8Rt5j0kFBoJXJXB6n82UIl16sestiDzUeAV4kdgu2g6DLi0Wi3JkS1bKVh8pEbR8PV3eVZiUxu1RsOQe+6Ae1x/3f43jgHXtE5yWIVez8ldu7AUuHeFmMuSm0OHDtGnTx/MZrOrLil4qJyUFNrrrKM2yYYjdPV37b41Qstgklv/MvNRBFBpNjF//3xeHPiim6NqGX5N+hWAwdGDifRpfG2CZLFQ+LN1JCjg5uabClDHxmI6cwZjyhl0/fvbV0xl6q0d7M92Kc6BsnzIPQ55SZBX9Tk3CfJPgtkAgKU8mt7+n9Zeo2YE0q0fpZuOUGD5F0PVdKuXQltv0bDQfLy8vel2+eXuDsN1yY1w8djx9g/09BlIWWUJA164y93hCO7iq4IyUKl8CC+wTrNM6jHJ/gtOqF2lpZLfkn4DXLdJZunq1ZhSU5H7+OA3YsSFT3AR+x5TqXX0urE18lv6mHVz1boo1BDUnsMn+jFALcdoMZCiT0Il06C2Fcorzk7XymSyqkL6s9O89qLht5wrGhZaJ4eTmz596u+cWV5e3uhgBM9XnJdHO01XAE6WH6FTlNhP6GKlCvWG0+Cl0nKVvi3fBKWw4OACnr/0eXeH5tHWp64ntzyXIK8ghsYMbfT1JEki55NPAAi8807kWieqzh24tslgxlBWiaHMhKGsksAIb3R+1pVP5+8ObktussuqtlwIq2orYEts/GIguAOExENwRwiOt34d0AbkCiwPzwQ1lJiKGPbxQ7XGVFpUzOndu8k+dpKyzEIsJSYwS1xyzzVcl+B80bDQOjmc3Bw6dIjbb7+ddnW0pc7IyODYsWMuC0zwTOtnfkFv7SAM5nK6P9p8fyEKnsevbTCcLkWn1HJlaRe+IYWfj/3MxO4TCdU1rrdGa2brbTOmwxhUisavaCpdsxbDocPIdDqC7h3v8HnlpUaObcuirMRYLXkx6E0YyisxlFViLKvEYqneLcQnUMM9rw1CJpfV2B28RiO/gQ9DdB/QBkJQ+3o7WScVJOFr9rVeT2ao8zgffz8uuWIYl1wxzOHvVbj4OJzcdO/enQEDBtS5Umrv3r18/vnnLgtM8DxGg4E4RWcATuqPcFW3q90ckeBO/u3DKVlfik7hjfG0iV6X9+LfnH9ZcHABz/Z/1t3heaQsfRYb0qwrmlyxSaYkSeR+/DEAQXeOQxlYs4dKXdZ/f4yknRfe1BJArpCh0SmpKDVRWmCgOK8C/1At6qqCeFNKVZfiqpGbvIo8TGYTKqUG2jlWf7EieTk9ldbkBp3YhFVoHIeTm8GDB3P06NE6X/f19eVyDygiEprOyhdnk6AehMliJHpcX3eHI7iZd0wIJZxAq/QhKb+Mh7vdz0PrJvPT0Z+Y0H0CIdoQd4focX4/8TsWyULf8L7E+cc1+nr69eupOHgQmVZL0H33OX5eoYGTu62dgy+5PBqdrwqNToXGW4lGq7Q+1intzylVcmQyGT+8tp3cM6Xkp5fiH6pFFWMduTEXFmIuKSHAJwC1XI3RYiS7PJton2iH4pEkiW17/4+BqnsB0MQ4nqQJQm0cTm7mzJlT7+sdOnRgzZo1jQ5I8ExGg4E2lR1ACcn6o1x52SPuDklwM4W3yt6d2eATQp/SYHqE9GB/7n4WHVzElH6isPNcFslSbZPMxpIkiZyPq2pt7rgDZVCQw+ce3JiOxSIR2cGfYeM6O3xeUJQ3uWdKyUvX065XKAofbxTBwZjz8jCdOYNXt26E6cJILU0lS5/lcHJzOP8w3kdz8VZap62COouGkELj1N4TvhZffvml2BjzIvbXKx8S7BWO2VKJ/zVt3R2O4AFkMhkVVFi/8A6kYv9+HuplLQL9/uj35FfkuzE6z7MtYxtppWn4qnwZ3nZ4o6+n37iJin37kHl5ETzB8VEbs9nCoQ1pAHQf5ljyYRMc5QNAfrre/pw6xrpnkn13cO/zioodsCJ5BR0zI9Aprcu3Q7rGOhWXIJzP4eTmm2++ISYmhkGDBvHWW29x+PDhpoxL8DCRJdY3wdP6JPqOus7N0QiewqyxAKDQ6Cj/dx9DoofQLbgb5ZXlLDq4yM3ReRbbqM217a9Fq2zciqZza20Cb7sNZYjjU4DJe3PRFxnR+qro0DvMqfsGRVlHVvLTS+3Pqdqctzv4+cvBL8AiWVhxagWRFbEoZAoskhlNmOhRIzSOw8nN6tWrycjI4JFHHmHXrl0MGDCA+Ph4nnrqKdavX4/FYmnKOAU3Wv7GB4RrY7BIFmT93dt1UvAsigDrkmCNSoN+/0FkMhkP9bSO3nx35DsKKwrdGJ3nKKgoYFXKKgBu7tT4JntlW7ZQvncvMo2GoIkTnDr3wHrrLt7dLotCoXL4VwBwNrkpyCzDbLa+56tjz1sOfn4jvwvYl7OPzJJ0fOXW88otZcjkdW9cKwiOcKqJX2BgIHfddRd33XUXRqOR1atXs3TpUu68807Ky8u59tprGT16NCNHjsS7ifa0EZpfUHoAeEOq/iRD7nV8+Fto/bzCfSG7Ep1CRVFmCeaSEobFDqNLUBeO5B9h0aFFPN7n8QtfyMMZzAay9Flk6jPJ0GdQbCzGX+NPoCaQIK8gAr0CCfQKrHNE5o8Tf2CymOgW3I0uQV0aFcu5tTYBt96KKszx0Zf8dD1pRwuRyeCSIc5NSQH4Bnmh0igwGcwUZZUTFOWNqs15y8GdHLlZnryc6DxQav2t11G5d08ioXVocIditVrNNddcwzXXXMMnn3zCzp07Wbp0Ka+88gqHDx/mpZfEJnqtwaqPv6CTrhMAZfFGN0cjeBptVACm/bnoFF6UaMOoOHgQ74EDeajnQzyx9gkWH1nM+EvG46/xd3eodbJIFvLK8+yJS4Y+g0x9pv3rTH0meRV5Dl3LS+FlT3QCvQIJ0lgTH9uojSsKicu2bad81y5kKhXBkyY6de6B9dZam7ieIfgGeTl9b5lMRlCUN1nJxeSllxIU5X12OXgDkhuzxczKUyvpkSGh1lT9QewrGucLjeeyf0X9+vWjX79+zJw5E5OpnjbbQovidViOzEdGetlphv/3QXeHI3gY39gw8snFW+lLmnco5fv24z1wIFe0uYJOgZ04VnCMbw5/w6O9H3V3qJgtZlJLU0kqTOJk4UlOFJ3gROEJkouSMZjrbhpn46XwIsI7ggjvCAI0ARQZiigwFJBfkU9BRQEmi4kKc4U9Qart/JHtRjb6+8it6kYccMstqMId3+rCWFHJka3WuHoMjWnw/YOrkhtbUbGqqqDYlJGBZDTW7FJcj51ZO8mryKNLljfaQOtWCl7hPg2OTRBsHEpupkyZwiuvvOLwVNP06dN55plnCHJiaaLgeTZ99yOx3u0ByA3JcXM0gifShFl/EWkVvpTo/Cjf9y8AcpmcB3s+yFPrnuLbQ99yd7e78VM3T5FopaWSMyVnOFl4kqTCJHsSc6roFEZL7aOPcpmcUG0okd6RRHhH2D+f+zhAE4BMVnstiCRJ6E16CioKyDdYk52CigIKDNbPhYZChsYMxVft26jvrWzHDsq2bweViuD7Jzl17rHtWZgqzPiHaYnp0vA+MkHnrZhShoYi02qRyssxpacTHmZNbnLKcjBbzCjkdTfkW568HIBORW3wDrFO6fnGBTc4NkGwcSi5mTNnDlOnTnU4ufn444+5//77RXLTwlVuLEDuG0l2eRrXvvmku8MRPJDcR41FMiOXKTDr/KnYt8n+2vC2w+kY0JGkwiS+PfwtD/eqvbu5syRJIq8ij7TSNNJL0+2fbY/TStMw1bFJo5fCi3b+7egQ0MH64W/9HOUThVLe8IFsmUyGj9oHH7UPsTTdMmbbHlIBN92IKtLx3cQlSWL/WmshcY+hMY0q2A2Ktv4eyKtaMSWTyVDHxGA4fhzjmTMEtxmEQqbALJnJq8gjTFd7TZDJbOKflH9QVkpYynzwrloG7hcX0eDYBMHGof+bJUmiU6dOdf7Vcj69Xn/hgwSPtnv5Stp6xwOQrkuh/m1ThYuVTC7DqDDiZdGi8NJiys7GlJWFKjzcPnrzzPpn+PrQ19zV9S6nRi6KjcXsyNhBcnFyteQlQ59xwWkkrVJLO/92dAzoSHv/9tbPAe2J8o6qdyTBk5Xt3k3Zlq2gUhFy//1OnZuRVER+uh6lSk7ngY1LHmy9bopyyqk0mlGqFajatLEmNykp+AwZQog2hKyyLLL0WXUmN1sytlBkKKJPoT8lukC0Sut1vSLEMnCh8RxKbhYsWOD0hcOdmAsWPE/h/x0nzLcX+YZsrn7zv+4OR/BgkrcMSsBLIcOo9qN83z5UV10FwFVtr6K9f3tOFp3kuyPf8UDPB+q+jiSRXJTMutR1rE9dz57sPZglc63HymVywnRhRHlHEe0TTbRvdLXHkd6RyGXOLXP2dLm2FVJjx6KKdm6l0/511lGbTpeG4+XduM06tb4qvHxUVJSaKMgsI7SN79nl4Ges9wn3DrcmN2VZ9KBHrddZkbwCgJHlHTH7WqeiTJIRua7xm4kKgkPJzfjxju80K3iW/5v2LlGlsRjMFejNxRiUZcjCvIi/ehDxl/av9Zzj23cQ521drnpalkRPjaY5QxZaGIW/GkpAp5BTpgunYt9+/KqSG4VcwQM9H+D5Dc+z6NAi7ux6J96qs9PbBrOBHZk7WJ+6nvWp60krTat27Xb+7ege3J0oH2viEuUTRZRPFBG6CJfsqN1SlO/di37TJlAqCX6w7gSxNvqis/tIdW9EIbGNTCYjOMqbtGOF5KWXEtrG1+nl4BWVFaw+s9oaU46GI1rrqI1RKRajCK4h1ty1cmHFEYTpztunpRRYUsHxn1ZQaipGX1mM3lKCUWtA1y4Yy6FyuvolUGTM56pXJrslbqHlUIf6QGoZOrmKMl045fv2VXv9mrhrmPvvXE4Vn+K7I98xqv0o1qdZk5ltGdsoryy3H6uSq7g04lKGxAzh8pjLifUVbfjhbK2N/5jR9u0OHHV4k3UfqYj2foS2aVxBs01QlA9pxwrJT7OWIJxt5OdYl+KNaRvRm/REekeiTspCE9vL+oJv6xptE9xHJDetnK5qHvtU6TFAwlvph4/SD63SG63C+hHKOYWJqUDVlHdy5REu8R7T7DELLYsuKpCyPWXolFoKtKFUHPgLyWxGprDWtthGb17Y+AIf7/mYOburb8Ibpg2zJzMDIweiU+nc8W14rPL9+9Gv3wAKBSEPOteOwWK2cHBDOuCaURsbW6fivPTqyY0xNRVJkojwttb1ZOlrT25sq6SuD7uSwuzVeLe1/ipShzZuWwpBsBHJTStmNBjwVlr/UjP1kHHFg2cbfh3fvoOkfzZjzqzAq1KHt8IPH6UvPip/VHI1RcZ8LpvmXFt34eKkiwqijDS8lX6U+ARi0esxJiej6djRfszIdiOZt28ep4pPIUNGj9AeXB59OUNjh9I5sLPDixUuRrZaG/9Ro+wN8xx1al8epQUGvHxUdOzj3D5S9Qk+b48pVVQUyOVI5eVU5uTYi4hrG7nRm/SsT10PwPCKdmRqw/FWWqe+tZENX6IuCOcSyU0rdmD1WsLkOiRJovvI6rsQx1/av9aaG6PBwP6//qFNrwQCwkKbK1ShBVMGWjvd6pR+6HXWUZfyffurJTdKuZLPr/6cg7kHSQhPIMhLtIlwRPnBg5SuXQtyOSEPOd9E01ZI3G2w8/tI1cc2clNaYMBQXolGq0YVGYkpLQ3TmTOEx9TdyG/tmbVUmCto69eWsFPFHPcJJbxqGbhPW/GeI7iGmOBsxTJ2HASgzFxKqIN/8ak1GvqOus7h4wVB4a9GQkIhU4Lcglmuonz/vhrHRXhH8J+2/xGJjRNyP/kUAL/rr0MdF+fUuQWZelKPFIAMLrk86sInOEGjU+FT1VHY3qn4nKJi2+aZWfosJEmqdq5tldQ1cddQceAARVpfvJXW7Tk04WIZuOAaTic3er2el156iUGDBtGxY0fat29f7UPwHFKedeVBWWWpmyMRWjOZQk6l0rrZoRYT5dpQKv6tmdwIzqk4fJjSVatAJiPkoYecPv/Auqp9pHqE4Bfs+lqWoPOmptQxZ3cHD9Nap6WMFiOFhkL7OUWGIjambwSsU5XlB/ZTqfNGKVcjSRLKALEyU3ANp6elJk2axLp167j77ruJjIwUc+UeTGPyAq1IboSmJ+mAYtDKLeh1Efgc24elogK5l/ObMwpWuZ/OBcBv5Eg0Tv7haDKYObLFto+U87t/OyIoyoeUg/n2ouJzR25UChXBXsHkVeSRVZZFoJe1lmZ1ymoqLZXEB8bTttKfoxk5KNtZExqT0ohMKSYTBNdwOrlZvnw5y5YtY/DgwU0Rj+BCWrl1pVSZRSQ3QtNSBGig2IJOLqc8pB3k7Kbi8GF0CQnuDq1Fqjh6jJK//rKO2jzs/KjNse2ZGCvM+Idqie3aNNOA5xcVq2OrdgevWg4epguzJjf6LLoEWftm2VZJjYwbSfn+/ZTpwvCWW4CqZpCC4CJOp8mBgYFiz6gWQqewNcYqv8CRgtA4tg00vRVqKsI6AFCxf787Q2rRcj78AADfESPQxMc7da51HynrlFT3odGN2keqPmenpaqWg5/fyM+7eq+bvPI8tmVuA6rqbfbvR6+LQKew/hpSBIopKcF1nE5uXnnlFaZPn05ZWVlTxCO4kLfK+guH4Iunk6vgHtpI6x88OqUPpV7W4tDyfSK5aQj91m2U/rMKFApCJz/q9PmZJ4rISytFoZLTJdHxzTWdFRjpDTIoLzFRVmxEVbUIwZyfj7lUX6OR39+n/8YiWege3J1Yv1jK9x+g1DsCb4U1qfEKd02DQUGABkxLvffee5w4cYLw8HDi4uJQqar/4ty9e7fLghMaLi89A53C+mYR0berm6MRWjtNqA8lYO11U1qBhKxGp2LhwiSzmaw33gAg8Pbbqy2nd9T+qkLiTv0bv49UfVRqBf4hWopyyslPLyWmSxCKwEDMBQWYUs/UaORnm5K6pt01SJJExf79lESNIqqqF5cuNqTJYhUuPk4nN2PHjm2CMARX279sBR1lHam0mOhx1ZXuDkdo5WxTCjqlH5WVWRg0/shSUqgsKEAZKBqzOarw518wHD2K3M+PkAaM2pQVGzmx29pbpruThcSSJFFpNGAoK8NQpseg12Ms01NRpsdoe66sjOgu3WjXuy9gnZoqyiknL11PTJcgVLGxmAsKMKakENbhbCO/TH0mu7Otf/iOiBuBKTUVc2EhpR298VYFAKAJEyM3gus4ndy8/PLLTRGH4GKlJ7KBjugrS1CLjS+FJmZbwquSa1BKeozteuF1ZB0VBw7gM2SIm6NrGcwlJeTMsW5NETr50QYlhYc2pWMxS4TF+RHWtv6eMWcO7mPDd19RXlKMQW9NXCzmygveQ6FS8ej871BpvAiO9iH539yzdTexsVTs22dt5NejO2BNblaeWglAn7A+RHhHULzuTywyORUquX2EWRkkVtYJrtPgDsW7du3i8OHDAFxyySUkiFURHkVeKgcf0FeWuDsU4SIgUykwK80oKhXoZCYMcd3hyDrK9+0TyY2Dcj+dizk/H3W7dgTecYfT51vMFg6ut05J9RhW/6iNZLHwz/xPyU87U+M1mUyOWqdFo/NBo9Oh8fZGo7N+nNi1DYNeT9bJJGK6dq/R68a+HDzlDOG6/wDWLsW2xn0j240ErPVY5dpQtDIDMpkMi8yM3EfUBgqu43Ryk52dze23387atWsJ+P/27jw+yupe/PjnmX0mewJZgECABAKyg1AUQWWHq+JeihW1ta1Lq+JPcWnlaq+FcrV6tVStXrW1db9qtSIWEVQUoSBbkCVBtpANsk2SyazP+f3xJAORAJmQjeT7fr3GZJ45M883xzDzzXPO95z4eAAqKiq46KKLeP311+neXZbP7gicynjTqQ3VtHMkoqtQURpUgtOk8Mb3AcArk4qbxH/gAGWvvAJAyn0L0ayRf9Dv3163j1SUlczRp95Hau+mDZQdPoTN6WLOvb/BGR2DzRWFIyoKq8N50vXL3n/8d+Ru+IrC3N0NkpvSghqUUsfKwQ8dCu8vVROoIac0B5NmYmqfqQDU5mynxpWGSwsBEHIqWTNNtKiIq6V++ctfUlVVxY4dOygrK6OsrIycnBzcbje/+tWvWiNG0QyuujVuapHkRrSN8B5TJhPV5ngAardtO2H5fXGi4qX/DYEAURdcQPSkSc16jZy6faQGnZ+GxWo+aTulFBv+8RYAI6bNIn3wULr1ziC2W3dsTtcpk4y0rIEAFObuBiA+2YXJrBHwhqgu9zUoB3dZXcTajg2NjUsdR5IzCRUM4t3xLTVRqUSZjXOZ4uSqjWhZESc3K1as4E9/+hODBh2rwBk8eDDLli3jo48+atHgRPO5LEZyE3AG2jkS0VXYu9dVvZjtVFbpYLUalTOHD7dzZB1bzbp1xjYLZjMpC+9t1mscOVjFoZ3GPlJDJp56SOrwzh0U5u7GbLUyatZlEZ2nPrkpyN2FUgqzxUR8irFZaunhaqzpdVswFBSgAoHw1Rs4NiTl2/sdqraWmtieuMxGUmPrHh1RHEKcTsTJja7rJ5R/A1itVnRdb5GgxJnx+3xEWY2/mJy9pVJFtA1HqrG+TZQlhuryUizZQwHwSkn4SalgkOLFSwBImDu3WaXfSinWvpULQNboZGK7nXofqQ3vvw3AOZMmExUf2ftDSr9MNJOJmvIyqkqPAsevVFyDpXt3NLsdQiEChYXhhfwsJgsX9zaqNr05xlBlTWwq0fVl4L3kfUq0rIiTm4svvpg77riDgoKC8LHDhw9z1113MXny5BYNTjRP3vr12ExG9cqg6Re2bzCiywgPS1niUHolwYFjAFnM71Qq3v4/fHv2YIqLo9tttzbrNfZtOUpBbgVmq4kfXN7/lG2PHNjHvs0b0TQTYy65IuJzWe0OuvfpCxwbmkrsYVx1KSuoQTOZsKb3AoxJxakuY62bCT0mEGc/trijrpmo1nSi63YDlys3oqVFnNz88Y9/xO12k5GRQf/+/enfvz99+/bF7Xbz9NNPt0aMIkIH1m4GoDZYTc+BA9o5GtFVmOuSmyhLLEqvxNvD2DagVrZhaFTI7T6u9Pv2ZpV+hwI6X76TB8CIKemn3f17wz+MqzZZPzifhNQeEZ8PIC3L2CeqMHcXwHGTir+3x9Shg1yRdQUjk0dyy4hbws/3bt+O19ENPeQmyhIPSBm4aHkRV0ulp6fzzTff8Mknn7Brl/HLPWjQIKZMmdLiwYnmCZbUggNqZDdw0YYsdQv52c0uTHo1nqg0HIB3xw5UINCsCqDO7OgzzxIqL8fWvz8JP7y2Wa+xbU0+7iO1uGJtjJre55RtK0uK2L3uCwDGXnpls84H0CNrIFv/9WH4yk1STyO5KS/0oOvquEnF+QzrPpe/zvxr+Lm6z4d3zx5q4gdjVlXYzEZSU58YC9FSmrXOjaZpTJ06lalTp7Z0PKIF2AMOcIBHkhvRhkwOC7pFxxQ04dICVHltdIuJQa+qwpeXh2OQbANSz79/P2V/+xvQ/NLv2io/G5fvB2DcZf2wOU79dr7xn++idJ0+w0aS0i/yuT316icVF+/LIxQMEJvkxGI1EQzouI/UYj3uys33+XbuhGCQ2qR+uDSj2CFkDWGynby6S4jmaFJy89RTT/Gzn/0Mh8PBU089dcq2Ug7e/pwY49ceXZIb0caizFCpcJoU5cUeBg8dQs1X66jdtl2Sm+OES78nXtDsRQ43/HMf/tog3dKjT7tBpqeygpxPVwIw9rKrmnW+evGpPXBEx+CtruLI/n2kZg4gsUcUJQeqKC2oJuW4OTffV7s9x/iamkVU0Chd12KavZasECfVpN+qJ554gnnz5uFwOHjiiSdO2k7TNEluOoD6MnCfWXZuF23LkmBHr/TiMpspKqnFPmSYkdxs30bCtde0d3gdQs1XX1H96adG6fd99zXrNUoLqsOrEU+4KguT6dQL4G1e8QHBgJ/U/lmknzOsWeesp2kaaVkD2bd5IwW5uxskN2UFNfQaZFy58R86hFINF+er3W5UzlU7UkioLQLAcprqLiGao0nJzb59+xr9XnRMUXXJjUqQS72ibdmTY6nd7yXK7CLo9xDqX18OLpOK4Xul3z/6EfZ+/Zr1Ol+9nYdS0G9Ed3oOPPVEZH+th80f/xOAcy+7qkVWAq5Pbgpzd8HMS8IVU6WHa7BOHQCahvJ4CJWWYul2bLdv7/YcFBpVfkWvuvcpZ5qUgYuWF3G11COPPILHc+IVgdraWh555JEWCUo0n7u0FFfd2hHJw5o/ri5Ec9i6GZNLo+rKwWuTMgDw5eWh18hq2RVvvYUvNxdzXBzdm1n6fSCnlIPflmEya4y/4tSl3wDbVn2Mr6aGhLSeZJ77g2ad8/vqK6aK8vYAx691U43JZsOSZpSA+w8dG5oKVVXh37cPryORYKCc6LrdwG3do1okJiGOF3Fy8/DDD1NdfeJcDo/Hw8MPP9ysIJYtW0ZGRgYOh4Nx48axYcOGk7Z9/vnnueCCC0hISCAhIYEpU6acsn1Xs/WDjzFpJkJ6kGEzZcK3aFvm8Fo3Rjl4ldeKJTUVdJ3aHTvaObr2ZZR+G3MWu/3yl5jr9uaL6DVCOl++bSzYN+yiXsQnu07dPhhg04fvATDmkiswmVrmam5apnF1pqK4EI+7MnzlpqKkllBAb7DHVD1vjjHfxtt7CCpUQVTdGjeWRHuLxCTE8SJObr4/hlpv69atJCYmRhzAG2+8wYIFC1i0aBHffPMNw4cPZ/r06ZSUlDTafs2aNcydO5fVq1ezbt060tPTmTZtGodliXcAKvYYk/RqQlU4ouQvItG26svB69e6KS/y4BxmzPHwdvH1bo4u+xOhigpsmc0v/f72iwLKizw4oq2MmZVx2vY7v1hDdVkpUQmJDJ54cbPO2Ri7K4qknkbJd2HubqLibdhdFpRuTCS3Hbc7eL36ycS+3kPQ9WPJjTlR5tyIltfk5CYhIYHExEQ0TWPAgAEkJiaGb3FxcUydOpVrrol8wuAf/vAHbr75Zm688UYGDx7Ms88+i8vl4sUXX2y0/d///nduvfVWRowYQXZ2Ni+88AK6rrNq1aqIz90Zmd1G4ill4KI9mOON5MZpiUELVVFR7ME5zJh305VXKvbt20fZ3/8OQMrC+9AskVcIeWsCrP/gOwDGXdIXu+vU5eNK19nw/v8BMHr2HCwtvM7Q8ZtoapoWXsyvrKAaa6+6PaaOKwevT249cb1x4sWkmVGawhxra9G4hIAI1rl58sknUUpx00038fDDDxMXFxd+zGazkZGRwfjx4yM6ud/vZ9OmTdx///3hYyaTiSlTprBu3bomvYbH4yEQCJz0qpHP58Pn84Xvu93uiGI82zh04zK1LOAn2oMpyooyKTRdw2EKUF5Ug2OCceWmvlLmbKD7/YTKywmVlhIsKydUXkaorMz4vqyMUHUVmtmCZrWiWSxoVgtY6u/XH7OiWS1oFgvulSshGCR60iSiL5jQrJg2Lt+PryZIYo8oBk84/erCeRu/prwgH7srimGTZzTrnKeSljmQnNUrj1upOJrCvEpKC2pIbfTKjZHcVGuxuEzGTvEqSkM7TaWXEM3R5ORm/vz5APTt25fzzz8fSzP+8vi+o0ePEgqFSElJaXA8JSUlvPrx6SxcuJAePXqcdIXkxYsXN3su0NnIaTbGvmuR5Ea0PU3T0GLMUKnjMikqqwLQdxhoGsGCQoJHjmDp3r1dYlNKEaqoIFhcTLC4mEBxMcHiEoIlxQSPlhrJS7mRvOiNzCs8YxYLyQsXNuupFcUetq8xhpzPvzITk/nUF92VUuGtFkZMn43ddeq5Oc1Rf+WmaO8edD3UYANN68S6cvB8I7kJlJQQLCpCaRrllYrkurk/su2CaC0RZyg1NTWsWrWK6dOnNzj+8ccfo+s6M2fObLHgTmfJkiW8/vrrrFmzBoej8X8k999/PwsWLAjfd7vdpKent1WIba6+DDxgD7RzJKKrsiQ6CVbW4DJZqVA6VdVgz+yPLzeP2u3bibm45eZ+gDH8EqqsNJKT0lJCR48SKC4xkpiS4uO+L0H5/RH8IBbMCfFYEhIxJyZiSTS+mhMTMEfHoPQQBIOoQAAVCKLqvw8GUQE/KhiEQN2xUIiYiy/C3q9vs37Gr97JQw8pep+TRO9zkk7bPv/b7RTl7cFstTJyxiURn08FdXRfCOULoXuDxldfCOULYk2LxprsIim9N1a7A39tLWX5h0jsYVzNLyuoxtZ7CAChI0fRPZ7wZGI1cARBXzVRVuN9yp4SG3FsQjRFxMnNfffdx5IlS044rpTivvvuiyi56datG2azmeLi4gbHi4uLSU1NPeVzH3vsMZYsWcInn3zCsGEnX5TKbrdjt3ed2fhRdWXg9p6yy65oH7bu0QT31RBliUHpVZQX1RA3bJiR3Gzb1uTkRq+txZe317iyUlpKqKycYFkpodKy476WESovh1CoyfGZExOxpKRgTU7GkpKCJSUZS7fumBMTjAQmIRFLUiKm2NgWWRPmTOXvKmPf1qNoJo3zr2ra8g71c22GXDiVqPjG15Hx51fh/vQQem0A5Q0dS2Z8QQiqk762yWUh7f5xmKxmUjMHcGjHNgpyd5M17iIA3Ee9hGwuzHFxhCor8R/KDw9J+TNHoyoqiLbFA1IGLlpPxMlNbm4ugwcPPuF4dnY2eXl5Eb2WzWZj9OjRrFq1ijlz5gCEJwfffvvtJ33e0qVLefTRR/n4448ZM2ZMROfszHI3/Bun2ag8yLz4/HaORnRVlgTjd9BliUV5K6ko9pA6dBiV//fOSRfzC5aW4t21C9/OnXh37sK7axf+fftA15t8XlNsrJGcJCVhTUnGkpKKJSUZa0qKkcQkp2BJ7o7JdvZMYNV1xdq3jPfVIRN7kph2+mSgZP937N+yCU0zMeaSKxpto3RF2Vt7CBafehVzzWpCc5gx2S1odjPBIx50TxDf/kocWQmkZQ3k0I5tFObuZtjk6bhibXjcfsoLPVjT0wlVVhI4dBBv/bYLyZnopQeJshhDkzIsJVpLxMlNXFwc3333HRkZGQ2O5+XlEdWM0uMFCxYwf/58xowZw9ixY3nyySepqanhxhtvBOD666+nZ8+eLF68GIDf//73PPTQQ7z66qtkZGRQVGQs4R0dHU10dNe+WrF3zdcMYQTekIfMkc3br0aIM3WsHDwOpR8xysEn1VVMbd+Ob98+fLt31yUxO/Ht3EXwJEs/mBMTsfbqFR4SsiQlYk5MOvFrQjzaWZS0NNWurwopPVyN3WVh7H80bUirfq7NgPETiE9p/Aq4Z1MxwWIPmtNCwpxMTA4zmsOCyW5Gs5vrvlrQzA2vXJW9tQfPpmK8ueV1yY2xmN+xScVReNx+SguqieudjjcnB/+Bg+FKqRp7d5S+lWhrFiC7gYvWE3Fyc9lll3HnnXfy7rvv0r+/sTpmXl4ed999N5deemnEAVx77bUcOXKEhx56iKKiIkaMGMGKFSvCk4wPHjyIyXRs8twzzzyD3+/nqqsabv62aNEi/vM//zPi83cmgcIasEsZuGhf9eXgxkJ+eZQXebBnjUaz29Grqvhu5qwTn6Rp2Pr0wT4oG0f2IByDsrFnZ2Pp3r1DDA21B783yNfvG6XfY2Zl4Ig+fSl3RXERe9atBU6+QabuD+FeeQCA2IvScQ1v+gRvx4AEI7nZXQ6z6hbzA0oPH8LnqSGpRzT5u8opK6ihW91CfjXr1hGqrESzWqmstWLSq3CYjT+ELUmS3IjWEXFys3TpUmbMmEF2dja9ehm7v+bn53PBBRfw2GOPNSuI22+//aTDUGvWrGlwf//+/c06R1dg89nBLmXgon0dW6U4BkJu3Edq0U1moidOpGrlSjS7HfvAgTiys8NJjGPAAEyy6GQDm1YcoNbtJy7ZydALezXpORs/eAeldDKGjyI5o/F9q6q/KiDk9mOOtxM9/vQl5cezZ8aDBsFiD8FKH1HxCcQlp1BZUkxRXi6JPZOB+knFRuFGTd2yHrZBgygvriXKZAw1KhuYHLIjuGgdzRqW+uqrr1i5ciVbt27F6XQybNgwJk6c2BrxiQg4NePDoVavaudIRFdmjrGhNDBhxmEKEtIV7iO19Hz8MQLFxVjT0pq1iF1X4j5ay9ZPjDLq86/MxGw5/XqrNRXl7FjzCXDyqzahmgBVa4zXjZ3WB80a2SL15igrtl4x+A9V4dtTjuXcVNKysqksKaYwdxcZo4yhs9KCGqzj66pS6yZ7a4NG4SsKkFR3SlNc5xtGFB1Hs95hNE1j2rRpTJs2raXjEWfAVbfGjVerbedIRFemmerWunGHiDKDGygv8pCQ2h1bJ16GoaXoIZ3Vf9tFKKjTc2ACGcO6nf5JwOYVHxAM+EnLHEivwUMbbVO1+hDKG8KaFoVrRHKz4rMPSMB/qArvnnKizk0lLWsgu778jMK83YyabSRVnko/ereMBs/zpg+GQg/R9RWdyV17jqRoXc1Kbmpqavjss884ePAg/u+tG/GrX/2qRQITkatfO0KPPXkZpxBtwZroIuCuwqnZqdS9VJymKkcc88WbueTvKsdiN3PBtVlNmnNUW+Vmy8cfAnDuZVc2+pxgmZfqdQUAxM3s2+yVgR0DEqhadRBvXgUqpMKL+RXk7sZqNxOT5KCq1Is74EKz2cJrC3lie6H0HKKsxno41m4tv7CgEPUiTm42b97MrFmz8Hg81NTUkJiYyNGjR3G5XCQnJ0ty006qK93GHAcgfnDvdo5GdHXWJBeB/VW4LHEo3U15UU17h3RW2LY6n5zPDoMGU28cTFKP01/dUErxyQt/wuepoVt6HzLH/KDRdu6VByCksGfGY8+Kb3aMtl4xaE4LqjaIP7+K5Ix+mK1WvFVuKooLSeoRRVWpl7JCD65evfB/9x2mqCjcfgd6qJxol3Fus5SBi1YU8a7gd911F5dccgnl5eU4nU6+/vprDhw4wOjRo5s9oVicuW0ffYxZs6CrECMuaaQaRYg2VF8xZewOXkF5kVy5OZ2DO0pZ++YeAMbP6U+/EU2rYtr11efs+XotJrOZGbfehWY68W3dX1CNZ4tRbh83I+OMKtA0s4YjMx4A755yzBYryX2NytnC3N0k1iVkZQU14WFIx5AhlBd5UHoFURbjubLGjWhNESc3W7Zs4e6778ZkMmE2m/H5fKSnp7N06VIeeOCB1ohRNEHZjv2AUSkVHSdLmov2Vb/WjXHlxljITykZLj2ZssIaPn4+B6Uge3wqI6c17eprVdlRPv3fZwAYd/m1pPRrfAXjyo/2gQLn8O7YesWccbyOAcaqx7495QD0CO8Qviu8O3hpQTX2bGMdHOeo0ZQV1KBCFURZjGEpSW5Ea4o4ubFareF1Z5KTkzl40NjSPi4ujkOHDp3qqaIVaRXGB4cnKJVSov2Z440PLuPKTSU+T5DaKtnvrDG11X4+XLYVvzdEWmYcF/4ou0lXVpRS/Ou5p/HWVJPSL4txl1/TaDtvbjm+3Aowa8RN69MiMdvrkht/fhWhmsBxi/ntJqnnsQ00E3/6E9Ie/S9cP5qPzxPEjheLyYri2NU9IVpDxHNuRo4cyb///W+ysrKYNGkSDz30EEePHuWVV15hyJAhrRGjaAJHyJic5wnK3AbR/o5duYnFbDYS7oriGlyxUv57vFBQZ8VzObiPeont5mDmL4ZibmJ59rZPVrB/yybMViszb1uAuZHyeqUr46oNED0uDUuSs0XitsTZsaS4CBZ78OVVhCcVHzmwj6h4M5pJw+cJ4gvZiL/ySvJ3l6OUItrYDBxTrAXtNDubC3EmIv7t+t3vfkdaWhoAjz76KAkJCdxyyy0cOXKEP//5zy0eoGgap8kY565FFvAT7c8cZ0cBFpMVG8YVG5l305BSijWv7qYgtwKbw8zsW4fjjG5a8ldRVMhnr/wvABfMnU9Sr8ZL7Gu3HSFQUINmNxNzccuW4TsGGldvvHvKiUnqTlRCInooRGn+PuKTjSSqtMB4PyovrAHlIapuuQprklRKidYVUXKjlCI5OZnx48cDxrDUihUrcLvdbNq0ieHDh7dKkOL0oizGm4bf6m3nSIQAzWLCFG1cSbCHdJTSJbn5ns0rD7Lrq0I0DabdPCQ8V+V0dD3ER396goDPS6/BQxg1s/Ftb1RQp/Lj/QDETOqFuYmJU1M5so4lNwBpmfXzbnaHf5ayAuNKcllhDSpUTpQ1HqDFriAJcTIRJzeZmZkyt6YDctWtcWNOlb+IRMdgSTQ+wJzmGNCrZa2b4+zbeoR17+4F4Pyrs+hzTlKTn7vpn+9RsPtbbE4nM25pvDoKoPrrQkLlPkwxNqIn9GyRuI9nz4hDs5rQq/wEijzhoSljUrHxflRal9yUF9ag6xVE11dKyZ5SopVFlNyYTCaysrIoLS1trXhEM+R/uwNn3UZ0fSeNbedohDBY6vaYirLGoesVstZNnaP5VfzrxW9BwTkTezLsoqbtGwVw9OB+vnzjFQAuvP5m4pJTGm2ne4NUfWoUe8RO7Y3JZj7zwL9Hs5qw9zMqn3x7yuhx/KTi+is3h41hqbLCmroy8LpKKdkNXLSyiOfcLFmyhHvuuYecnJzWiEc0w86PPwfAF/KSPb7xBbyEaGv1k4rrK6bcpV6CgVA7R9W+aip9fLhsG0FfiF7ZCU1egRggFAywfNkfCAWD9Bt1LkMumnrStlVr8tE9QSzdnUSNTm2p8E9QXxLu3VNOSr9MNJOJ6rJS7C5jeLyssIbaKj+1VQFUqJzoumEpWcBPtLaIq6Wuv/56PB4Pw4cPx2az4XQ2HDstKytrseBE03jz3WCVMnDRsRzbHTwOs+kwKKgsqSWpZ9fcUyjoD/HRs9upLvcRn+Ji+s1DMEdQMfT1/73Okf3f4YiJZdrPf3XSpChU6aP6y8MAxM3oi2Zu/oJ9p1NfEu7b78asWeneuy8l+/dSXXYAs8VE0K9zIMe40m/Wqo0hSmSNG9H6Ik5unnzyyVYIQ5wJa60VrMYCfkJ0FJbjVik2W3ejY1RMdcXkRinFp6/sonifG7vLwuxbh+GIsjb5+YW5u1n/3lsATP3prUTFJ5y0beXKA6iAjq1PLI7BiWcc+6lYujkxJzoIlXnxfVdBWtYASvbvpfi7XBLShnD0UDV5m0pQSuFENxIyq4Ypgp9diOZocnLz0EMPcd999zF//nwAysvLSUg4+T8w0XacmjG+7dEluREdx/FXbtArwWSsdXM2CgV0fLVB/LVB/N4gAW8IpRQKQAeFQilAGYmM8f2xY4dzy8n9dzEmk8aMnw8lPqXpE/8DPi8fLfsDStfJPn8SA34w4eRti2vwbCoGIG5W3zPaZqEpNE3DMSCBmq8L8e4pJy0rm60rP6IwdxdJGeM4eqiaQ9+WgarBZTZ+Zkuis9XjEqLJyc2jjz7K7bffjstl/IL26dOHLVu20K9fv1YLTjSNq27tCK92dn5wiM6pfgVam8kO/hpwtN9aN6Ggjs8TxFsTMBaX8wTw1QTweoL4agL4a0P4vHXJS90tnMzUhggF9RaJY+LcAfQaGNkfhV+89hfKCw8TnZDI5JtuOWXbyhX7QYFjcBL2Pm2zDYsj67jkZp5RMVW8N4/MHxhTFnRdoULHV0pJGbhofU1Obr6/L4zsE9NxuOrWuAlFy/8T0XGYbGY0lwXlCWILWahVvmYlN0opggG90aSjwf265MRIXuoSGE8QrydI0NcyE5mtDjN2pwWr3ViF17gAoaGZCF+N0DTjP5pmHDPuQ9aYFM65ILKS7IM5W9n80QcATP/FHTiiTz6k59tfiXdnGZiMzTHbij0zDkwaoVIvMdYEHFHReGuqMZuPzb/U9XKiHPGAzLcRbSPiOTeiY/H7fERZjEl6sVmtVxUhRHNYEhwEPNW4LLF4Qm4qil0opcKJgFIKX02QqjKvcSv1hr+vrvvqqwmi6y2QuGtgd1qwuyzYXdZjX6MsOFwWbE4LNofx1e6su++0YHPWJTQOCyZT2w2n+Dw1rPjTkwAMnzqTjBGjT9pW6YrK5cY2C1FjUrEmt916Vya7BVufWPz7KvHlVZKaNZD9WzbhrT4ExNXFV0GUxUjsJLkRbaHJyY2maVRVVeFwOMJvTtXV1bjd7gbtYmNlR+q2tG3Fv0g1xaMrneGXzGzvcIRowJJgJ3C4mihLHEf1SgK+7nz6l514qvxGIlPua/JVFU2jQQJSn3TYjrvV37e7LDjqEpf6JMbmbNvk5Eytfvl5qkqPEJeSysTrbjplW/e/9uM/WIVmNRE7pWU2x4yEY2AC/n2VxtBUppHclB/ei9V+LgFfCLPZTbTlHEDKwEXbiGhYasCAAQ3ujxw5ssF9TdMIhbr2OhZtrfibPaQyltpQNb2Tu7d3OEI0cPzu4HaLh0AAdn1ddEI7Z6yNmERH3c1OTJLxfXSiA2e0DZvTbAwFdZGJqLu+/Iwdn30CmsbMWxdgc5x8nkrNv4uoWpMPQPycTMztsDmpIysB94r9+PZW0OMy43OiMG83iT0upHifG1Tlsa0XJLkRbaDJyc3q1atbMw7RTKo8BC4pAxcdkzm8O3gcKX2qiE1JwxV3LHkxEhg7FmvLr6B7NlJKseG9t1hbtwrxuZdcQc/swSdt782roPzdPABiLk4nanTjKxa3NmtaFKZoK3p1gESbMfxUUVRI72EaRd8pTAGPMbGcY4s7CtGampzcTJo0qTXjEM1kDxp/BXkkuREdkOW4KzfBwCEu+vGgdo6o4wp4vax49n/Ys+4LAIZPncX51/745O1LPJT+bSfoCufw7sRObfvhqHqaySgJ93xTgp7vJbFHL8oK8knJ8KCraA5/ZswBMsVY0SSRFW0g4u0XRMfiMhnVE7LGjeiIjr9yU1l84nCUMFSWFPPaQ/ewZ90XmMwWpt58O1N+eitmS+N/f4aq/Rx9eQfKG8TWJ5bEqwa0+5Bd/VYMvt3GejcAVUf3M/g8V3jbhfrNVIVobVItdZarLwP3W73tHIkQJ6pfpdhhdlFTWIquhzCZ5C/34x3asY0PnlhCbZUbV1w8lyy4n17Z55y0vQrolL6yk1CZF3Oig6QfD0Kztv/fqfbMeNAgUFRDjwnZ7OATCnJ3E9s95diGmTLfRrQRSW7OcvVl4KZubT+JUIjT0ZwWNLsZ5QthJ4rqsjJiu8nEdzDm12z514esfvnPKF0npV8ml9794Cn7R+mKsrf34D/gRnNY6HbDOZijO8a/fXO0DWvPaAL51XSvK/suyttNcka/8AJ+Uikl2kr7p/ui2Yr27QtfuUk/b0T7BiNEIzRNa7A7eGWJDE0BBAMB/vXc03z64rMoXWfQhAu59uHfnzbxc39ygNqtR8CkkXTdoDZdz6Yp6oemrKVmrHYH/tpa9m7aIJVSos1FlNwEAgEsFgs5OTmtFY+IwI7lqwAI6D4GTjivnaMRonHHl4PLvBuoqSjnzUfuJ2f1v9A0ExOvu4mZt9+N1XbqKqKaTcVUfXoIgIQrMnFkxrdBtJGpT278eytJ7ZcFQHlBPtEyLCXaWETDUlarld69e8taNh2EZ38pmKEmWIXNLuWVomNqMKm4i1+5Kcrbwz8ef5TqslLsrihm33EvfU+x8nA9794Kyt/JBSDmwnSixnTM1cht6bFoDjO6J0hG5jAO7dyOhmZsnookN6LtRDws9eCDD/LAAw9QVlZ2+saiVVk8xsRMT1A2zBQd17Fy8DgquvCVm28//5TX/3Mh1WWlJPZMZ97v/tCkxCZwpK7kO6RwDu1G7LT2K/k+Hc2sha8odbf1BsBpicGkmcCiYYrpGPODROcX8YTiP/7xj+Tl5dGjRw/69OlDVFRUg8e/+eabFgtOnJoTo+89oap2jkSIkzMfN+fmQMmedo6maXQ9RNDnIxC+eevuewn4fAT9fvRQED0UQtdDqJBufB8+Vn/fuLmPFLNz7RoA+o0ey6zb/x921+nny4RqAkbJd20QW3oMidcMQOvgW0jYByRQm1OKo9L4/x7eDTzB0eFjF51HxMnNnDlzWiEM0Rwus1EpVYtcuREdlyXBuHJjDEsVt8hrKl0n6PcT8PvCSUjQfyz5CPi8BLx133trjx33euu+9x773lvX3u8j6DW+hgKBFonz+35wxbWcd/U8NNPpL5qroE7pK98SKvViTrCTdP3gs2IBvPp5N6GCWhK7pxNdGw/IkJRoWxEnN4sWLWqNOEQzuCzGlZugS+ZAiY7LXLfWjdMcjbfSjb/Wg9XuwOfxUFtVSW2Vm9qqKmqr3Hir3HX3jx0L1CUcQZ8v/DXo97VN8JqG1WbH6nBgsdmx2o2bxWbHZDY3vJnMaMd9bzKbMJktdY+byBg+mozho5p0WqUU5f+Xi3+/G81uNkq+z5IhHUu8A0uyk2BJLZm9RlO735jCIGXgoi01a52biooK3n77bfbu3cs999xDYmIi33zzDSkpKfTs2bOlYxSN8Pt8RFmMHdij+nVr52iEODlTtBUsJrSgjtMSw/O33YTP40EpvUVe32K1YbHbsdjtWG11X+0ObA4HVrvDSEgcDqwOZ11yUnfcUXerb2N3hJ9rrXs9i9XW5iv/Bit9VC7fV1fyjVHynRJ1+id2II4BiVSXHKZ/6khKqvdCUK7ciLYVcXKzbds2pkyZQlxcHPv37+fmm28mMTGRd955h4MHD/LXv/61NeIU37Pzs89JMjlQSjF4xsXtHY4QJ6VpGpZ4O8GjtURZ4iipORh+zOZ04oyJxREdizM2FmdMLM7oGONrrHHc5nSecPUknMjYbE0a4jkb6N4gVWvyqVp7GIJG4pcwJwtHVkI7RxY5x4AEqtceRisIkpaaRSC/Ojw8KURbiDi5WbBgATfccANLly4lJiYmfHzWrFn86Ec/atHgxMkd/jqHJMZQG6ohvW/f9g5HiFMyJxjJzUVX/gT7iCSc0TE4YmKxWK3tHVq7UyGdmvVFuFcdQK8JAmDLiCV+dj9s6TGneXbHZO8bCxYTIbefULUfkGEp0bYiTm7+/e9/89xzz51wvGfPnhQVdd0yz7aml/rBaaxxI0RHZ4l34ANinN2I691xS5nbklIK745SKlfsJ3i0FgBLdydxM/riGJzY7hthngnNasbeLw7fnnKoG32UYSnRliJObux2O263+4Tje/bsoXt32TOmrdgCDnCCJyi7gYuOr74cPFTRRhOBOzjfQTeVH+7Df8B4LzVFW4md0puoc1PRzJ1jmM0xIMFIbgCTy4LJIVsZirYT8W/bpZdeyiOPPMKbb74JGOPpBw8eZOHChVx55ZUtHqBonMtk7Cnl0SW5ER2fuW6+Rai8a+9eHzxaS+XH+6ndfhQAzWoi+oKexEzqhcneuT78HQMSqKz7XoakRFuL+F/T448/zlVXXUVycjK1tbVMmjSJoqIixo8fz6OPPtoaMYpG1G+Y6bN07Q8LcXaw1JWDB7vQlRullDEko+votUGqPsun+utCCCnQwDU6hbipfTDHdc6tUyzdnZjj7YQqfDIkJdpcxMlNXFwcK1euZO3atWzbto3q6mpGjRrFlClTWiM+cRJRdcmNlti5/toTndPxw1JKVy26Uq0KKVRIh6COCipUUEeFjO+NY3W3kEIFdAjVH1Phx054bkCH0LHH69uHXy+kg25MBiakULoCXaFCDb82xj4ggfhZfbGmnl3l3ZHSNA3HoERq1hWedaXs4uwX8SfjoUOHSE9PZ8KECUyYMKE1YhKnUVpQiNNsJDepowe2czRCnJ45xm7sZKcrvLvK0CwmdF8Q5dNRviC6X0f5QsYxf8NjJyQgxyUnhHRoPIfocKw9o4mbkXFWlnY3V9z0DKwpUbhGynxM0bYiTm4yMjKYMGEC1113HVdddRUJCV3nH2pHsf3Df5Gp9SOoBxg6Ta6YiY5PM2uYY40hitK/ftuKJwLMJjSLCc2i1X01vsdiQjOb0KwmNHPdfYvxvXHMBHWPHXueseGjZjY1fC1z3VeTZlyFMpvQTHXnNmnG69d/NRttzoatE1qayWEh+gdp7R2G6IIiTm42btzIq6++yiOPPMIvf/lLZsyYwXXXXccll1yC3d45x447mqq9xUA/aoJV2KTPxVkienwaVV8WYLKa0GxmNLsZk934qtnqvj/+eN0x6hKP+mSlPrHQzI0kLuazt3xaCNFyIk5uRo4cyciRI1m6dClr1qzh1Vdf5Wc/+xm6rnPFFVfw4osvtkac4jjmag2ipQxcnF1iJqUTMym9vcMQQnQBzV5QQdM0LrroIp5//nk++eQT+vbty1/+8peWjE2chEMZk/M8IUluhBBCiO9rdnKTn5/P0qVLGTFiBGPHjiU6Opply5a1ZGziJOrXuKlVNe0ciRBCCNHxRDws9dxzz/Hqq6/y5Zdfkp2dzbx58/jHP/5Bnz6ypHpbqS8DDzgD7RyJEEII0fFEnNz813/9F3PnzuWpp55i+PDhrRGTOI0oi7GZnrN3fPsGIoQQQnRAESc3Bw8ePKs3dDvbfbv2S2LNxmqfg2Zc1M7RCCGEEB1Pk5Kbbdu2MWTIEEwmE9u3bz9l22HDhrVIYKJxB77YxFBGUhuqIWvggPYORwghhOhwmpTcjBgxgqKiIpKTkxkxYgSaphn7ptSpv69pGqFQqNWCFRAq9oADPAGplBJCCCEa06TkZt++fXTv3j38vWg/toADHFAja9wIIYQQjWpScnN8JdSpqqJqa2vPPCJxSk7qysB1SW6EEEKIxjR7nZvj+Xw+Hn/8cfr27dus5y9btoyMjAwcDgfjxo1jw4YNp2z/1ltvkZ2djcPhYOjQoSxfvrxZ5z0buSzGAn5es6edIxFCCCE6piYnNz6fj/vvv58xY8Zw3nnn8d577wHw0ksv0bdvX5588knuuuuuiAN44403WLBgAYsWLeKbb75h+PDhTJ8+nZKSkkbbf/XVV8ydO5ef/OQnbN68mTlz5jBnzhxycnIiPndLy8/PZ/Xq1eTn57dKewBXXRl4IKppc5uac462+Dk6S1xyjsieI8TpdJbfdzlHO783qCa69957VVxcnLryyitVWlqaslgs6uabb1ZDhw5Vr732mgoGg019qQbGjh2rbrvttvD9UCikevTooRYvXtxo+2uuuUbNnj27wbFx48apn//85006X2VlpQJUZWVls+I9mWeefEpdf8GF6roLLlTXX3CheuHXi9QXr7x20tsLv14UUfsvXnlNvfDAQ+rAvavVoYWfq2vHT1AvvPDCKWN64YUXlMlkUoAymUynbd+c57TFOTpqXHKOyJ4jxOl0lt93OUfrvDdE8vmtKXVc2dMp9OvXjyeffJJLL72UnJwchg0bxg033MD//u//NnvdG7/fj8vl4u2332bOnDnh4/Pnz6eiooJ//OMfJzynd+/eLFiwgDvvvDN8bNGiRbz33nts3br1hPY+nw+fzxe+73a7SU9Pp7KyktjY2GbF/X35+fn8/a6HmNf/xhZ5vdMJqSBZ/z0V3QT79++nV69ejcbUp08fdF0PHzObzSdt35zntMU5Ompcco7IniPE6XSW33c5R+u9N7jdbuLi4pr0+d3kYan8/HxGjx4NwJAhQ7Db7dx1111ntKDf0aNHCYVCpKSkNDiekpJCUVFRo88pKiqKqP3ixYuJi4sL39LTW35X4tzcXHSlE9QDbXI7UJ1LQIUIhULk5eWdPKbjfsGAU7ZvznPa4hwdNS45R2TPEeJ0Osvvu5yjY7w3NHmF4lAohM1mO/ZEi4Xo6OhWCaol3X///SxYsCB8v/7KTUvKyspiyruv8IB+bFf0tsqIMzMzTxqTyWRqcvvmPKctztFR45JzRPYcIU6ns/y+yzk6yHtDU8e6NE1Ts2bNUpdffrm6/PLLlcViUdOmTQvfr79FwufzKbPZrN59990Gx6+//np16aWXNvqc9PR09cQTTzQ49tBDD6lhw4Y16ZytNefmhRdeUGazWQHKbDY3aSwzkvZd+RwdNS45R2TPEeJ0Osvvu5yjdd4bWmXOzY03Nm0+yUsvvdSkdvXGjRvH2LFjefrppwHQdZ3evXtz++23c999953Q/tprr8Xj8fDBBx+Ej5133nkMGzaMZ5999rTni2TMLlL5+fnk5eWRmZnZpPHFSNt35XN01LjkHJE9R4jT6Sy/73KOln9viOTzu8nJTWt54403mD9/Ps899xxjx47lySef5M0332TXrl2kpKRw/fXX07NnTxYvXgwYpeCTJk1iyZIlzJ49m9dff53f/e53fPPNNwwZMuS052vN5EYIIYQQrSOSz++IdwVvaddeey1HjhzhoYceoqioiBEjRrBixYrwpOGDBw9iMh2b93zeeefx6quv8utf/5oHHniArKws3nvvvSYlNkIIIYTo/Nr9yk1bkys3QgghxNmnVUrBhRBCCCHOBpLcCCGEEKJTkeRGCCGEEJ2KJDdCCCGE6FQkuRFCCCFEpyLJjRBCCCE6FUluhBBCCNGpSHIjhBBCiE5FkhshhBBCdCrtvv1CW6tfkNntdrdzJEIIIYRoqvrP7aZsrNDlkpuqqioA0tPT2zkSIYQQQkSqqqqKuLi4U7bpcntL6bpOQUEBMTExaJrWoq/tdrtJT0/n0KFDsm9VHemTxkm/NE765UTSJ42TfjlRZ+8TpRRVVVX06NGjwYbajelyV25MJhO9evVq1XPExsZ2yl+sMyF90jjpl8ZJv5xI+qRx0i8n6sx9crorNvVkQrEQQgghOhVJboQQQgjRqUhy04LsdjuLFi3Cbre3dygdhvRJ46RfGif9ciLpk8ZJv5xI+uSYLjehWAghhBCdm1y5EUIIIUSnIsmNEEIIIToVSW6EEEII0alIciOEEEKITkWSmxaybNkyMjIycDgcjBs3jg0bNrR3SM22ePFizj33XGJiYkhOTmbOnDns3r27QRuv18ttt91GUlIS0dHRXHnllRQXFzdoc/DgQWbPno3L5SI5OZl77rmHYDDYoM2aNWsYNWoUdrudzMxMXn755RPi6Yh9u2TJEjRN48477wwf66p9cvjwYa677jqSkpJwOp0MHTqUjRs3hh9XSvHQQw+RlpaG0+lkypQp5ObmNniNsrIy5s2bR2xsLPHx8fzkJz+hurq6QZtt27ZxwQUX4HA4SE9PZ+nSpSfE8tZbb5GdnY3D4WDo0KEsX768dX7oUwiFQvzmN7+hb9++OJ1O+vfvz29/+9sG++F0hT75/PPPueSSS+jRoweapvHee+81eLwj9UFTYmkpp+qXQCDAwoULGTp0KFFRUfTo0YPrr7+egoKCBq/RGfulxSlxxl5//XVls9nUiy++qHbs2KFuvvlmFR8fr4qLi9s7tGaZPn26eumll1ROTo7asmWLmjVrlurdu7eqrq4Ot/nFL36h0tPT1apVq9TGjRvVD37wA3XeeeeFHw8Gg2rIkCFqypQpavPmzWr58uWqW7du6v777w+3+e6775TL5VILFixQ3377rXr66aeV2WxWK1asCLfpiH27YcMGlZGRoYYNG6buuOOO8PGu2CdlZWWqT58+6oYbblDr169X3333nfr4449VXl5euM2SJUtUXFyceu+999TWrVvVpZdeqvr27atqa2vDbWbMmKGGDx+uvv76a/XFF1+ozMxMNXfu3PDjlZWVKiUlRc2bN0/l5OSo1157TTmdTvXcc8+F23z55ZfKbDarpUuXqm+//Vb9+te/VlarVW3fvr1tOqPOo48+qpKSktQ///lPtW/fPvXWW2+p6Oho9T//8z/hNl2hT5YvX64efPBB9c477yhAvfvuuw0e70h90JRY2qJfKioq1JQpU9Qbb7yhdu3apdatW6fGjh2rRo8e3eA1OmO/tDRJblrA2LFj1W233Ra+HwqFVI8ePdTixYvbMaqWU1JSogD12WefKaWMf4BWq1W99dZb4TY7d+5UgFq3bp1SyvgHbDKZVFFRUbjNM888o2JjY5XP51NKKXXvvfeqc845p8G5rr32WjV9+vTw/Y7Wt1VVVSorK0utXLlSTZo0KZzcdNU+WbhwoZowYcJJH9d1XaWmpqr//u//Dh+rqKhQdrtdvfbaa0oppb799lsFqH//+9/hNh999JHSNE0dPnxYKaXUn/70J5WQkBDup/pzDxw4MHz/mmuuUbNnz25w/nHjxqmf//znZ/ZDRmj27NnqpptuanDsiiuuUPPmzVNKdc0++f6HeEfqg6bE0loaS/q+b8OGDQpQBw4cUEp1jX5pCTIsdYb8fj+bNm1iypQp4WMmk4kpU6awbt26doys5VRWVgKQmJgIwKZNmwgEAg1+5uzsbHr37h3+mdetW8fQoUNJSUkJt5k+fTput5sdO3aE2xz/GvVt6l+jI/btbbfdxuzZs0+Iu6v2yfvvv8+YMWO4+uqrSU5OZuTIkTz//PPhx/ft20dRUVGDeOPi4hg3blyDfomPj2fMmDHhNlOmTMFkMrF+/fpwm4kTJ2Kz2cJtpk+fzu7duykvLw+3OVXftZXzzjuPVatWsWfPHgC2bt3K2rVrmTlzJtA1++T7OlIfNCWW9lRZWYmmacTHxwPSL00lyc0ZOnr0KKFQqMEHFkBKSgpFRUXtFFXL0XWdO++8k/PPP58hQ4YAUFRUhM1mC/9jq3f8z1xUVNRon9Q/dqo2breb2traDte3r7/+Ot988w2LFy8+4bGu2iffffcdzzzzDFlZWXz88cfccsst/OpXv+Ivf/kLcOznOlW8RUVFJCcnN3jcYrGQmJjYIn3X1v1y33338cMf/pDs7GysVisjR47kzjvvZN68eQ3i7Up98n0dqQ+aEkt78Xq9LFy4kLlz54Y3wpR+aZoutyu4iMxtt91GTk4Oa9eube9Q2tWhQ4e44447WLlyJQ6Ho73D6TB0XWfMmDH87ne/A2DkyJHk5OTw7LPPMn/+/HaOrn28+eab/P3vf+fVV1/lnHPOYcuWLdx555306NGjy/aJiFwgEOCaa65BKcUzzzzT3uGcdeTKzRnq1q0bZrP5hKqY4uJiUlNT2ymqlnH77bfzz3/+k9WrV9OrV6/w8dTUVPx+PxUVFQ3aH/8zp6amNton9Y+dqk1sbCxOp7ND9e2mTZsoKSlh1KhRWCwWLBYLn332GU899RQWi4WUlJQu1ycAaWlpDB48uMGxQYMGcfDgQeDYz3WqeFNTUykpKWnweDAYpKysrEX6rq375Z577glfvRk6dCg//vGPueuuu8JX/Lpin3xfR+qDpsTS1uoTmwMHDrBy5crwVRvo2v0SCUluzpDNZmP06NGsWrUqfEzXdVatWsX48ePbMbLmU0px++238+677/Lpp5/St2/fBo+PHj0aq9Xa4GfevXs3Bw8eDP/M48ePZ/v27Q3+Edb/I63/MBw/fnyD16hvU/8aHalvJ0+ezPbt29myZUv4NmbMGObNmxf+vqv1CcD5559/wjIBe/bsoU+fPgD07duX1NTUBvG63W7Wr1/foF8qKirYtGlTuM2nn36KruuMGzcu3Obzzz8nEAiE26xcuZKBAweSkJAQbnOqvmsrHo8Hk6nhW6vZbEbXdaBr9sn3daQ+aEosbak+scnNzeWTTz4hKSmpweNdtV8i1t4zmjuD119/XdntdvXyyy+rb7/9Vv3sZz9T8fHxDapizia33HKLiouLU2vWrFGFhYXhm8fjCbf5xS9+oXr37q0+/fRTtXHjRjV+/Hg1fvz48OP1Zc/Tpk1TW7ZsUStWrFDdu3dvtOz5nnvuUTt37lTLli1rtOy5o/bt8dVSSnXNPtmwYYOyWCzq0UcfVbm5uervf/+7crlc6m9/+1u4zZIlS1R8fLz6xz/+obZt26Yuu+yyRkt+R44cqdavX6/Wrl2rsrKyGpS2VlRUqJSUFPXjH/9Y5eTkqNdff125XK4TSlstFot67LHH1M6dO9WiRYvapRR8/vz5qmfPnuFS8HfeeUd169ZN3XvvveE2XaFPqqqq1ObNm9XmzZsVoP7whz+ozZs3h6t+OlIfNCWWtugXv9+vLr30UtWrVy+1ZcuWBu+/x1c+dcZ+aWmS3LSQp59+WvXu3VvZbDY1duxY9fXXX7d3SM0GNHp76aWXwm1qa2vVrbfeqhISEpTL5VKXX365KiwsbPA6+/fvVzNnzlROp1N169ZN3X333SoQCDRos3r1ajVixAhls9lUv379GpyjXkft2+8nN121Tz744AM1ZMgQZbfbVXZ2tvrzn//c4HFd19VvfvMblZKSoux2u5o8ebLavXt3gzalpaVq7ty5Kjo6WsXGxqobb7xRVVVVNWizdetWNWHCBGW321XPnj3VkiVLTojlzTffVAMGDFA2m02dc8456sMPP2z5H/g03G63uuOOO1Tv3r2Vw+FQ/fr1Uw8++GCDD6eu0CerV69u9H1k/vz5SqmO1QdNiaWlnKpf9u3bd9L339WrV3fqfmlpmlLHLZsphBBCCHGWkzk3QgghhOhUJLkRQgghRKciyY0QQgghOhVJboQQQgjRqUhyI4QQQohORZIbIYQQQnQqktwIIYQQolOR5EYIIU7ihhtuYM6cOe0dhhAiQpLcCCFa3ZEjR7jlllvo3bs3drud1NRUpk+fzpdfftneoQkhOiFLewcghOj8rrzySvx+P3/5y1/o168fxcXFrFq1itLS0vYOTQjRCcmVGyFEq6qoqOCLL77g97//PRdddBF9+vRh7Nix3H///Vx66aXhNj/96U/p3r07sbGxXHzxxWzdurXB63zwwQece+65OBwOunXrxuWXXx5+rLy8nOuvv56EhARcLhczZ84kNzc3/PjLL79MfHw8H3/8MYMGDSI6OpoZM2ZQWFgYbhMKhViwYAHx8fEkJSVx77338v3dad5++22GDh2K0+kkKSmJKVOmUFNT0xrdJoQ4A5LcCCFaVXR0NNHR0bz33nv4fL5G21x99dWUlJTw0UcfsWnTJkaNGsXkyZMpKysD4MMPP+Tyyy9n1qxZbN68mVWrVjF27Njw82+44QY2btzI+++/z7p161BKMWvWLAKBQLiNx+Phscce45VXXuHzzz/n4MGD/L//9//Cjz/++OO8/PLLvPjii6xdu5aysjLefffd8OOFhYXMnTuXm266iZ07d7JmzRquuOKKExIgIUQH0K7bdgohuoS3335bJSQkKIfDoc477zx1//33q61btyqllPriiy9UbGys8nq9DZ7Tv39/9dxzzymllBo/fryaN29eo6+9Z88eBagvv/wyfOzo0aPK6XSqN998Uyml1EsvvaQAlZeXF26zbNkylZKSEr6flpamli5dGr4fCARUr1691GWXXaaUUmrTpk0KUPv37z+DnhBCtAW5ciOEaHVXXnklBQUFvP/++8yYMYM1a9YwatQoXn75ZbZu3Up1dTVJSUnhqzzR0dHs27ePvXv3ArBlyxYmT57c6Gvv3LkTi8XCuHHjwseSkpIYOHAgO3fuDB9zuVz0798/fD8tLY2SkhIAKisrKSwsbPAaFouFMWPGhO8PHz6cyZMnM3ToUK6++mqef/55ysvLW6aDhBAtSiYUCyHahMPhYOrUqUydOpXf/OY3/PSnP2XRokXceuutpKWlsWbNmhOeEx8fD4DT6Tzj81ut1gb3NU2LaEjJbDazcuVKvvrqK/71r3/x9NNP8+CDD7J+/Xr69u17xvEJIVqOXLkRQrSLwYMHU1NTw6hRoygqKsJisZCZmdng1q1bNwCGDRvGqlWrGn2dQYMGEQwGWb9+ffhYaWkpu3fvZvDgwU2KJS4ujrS0tAavEQwG2bRpU4N2mqZx/vnn8/DDD7N582ZsNluDeTlCiI5BrtwIIVpVaWkpV199NTfddBPDhg0jJiaGjRs3snTpUi677DKmTJnC+PHjmTNnDkuXLmXAgAEUFBSEJxGPGTOGRYsWMXnyZPr3788Pf/hDgsEgy5cvZ+HChWRlZXHZZZdx880389xzzxETE8N9991Hz549ueyyy5oc5x133MGSJUvIysoiOzubP/zhD1RUVIQfX79+PatWrWLatGkkJyezfv16jhw5wqBBg1qh14QQZ0KSGyFEq4qOjmbcuHE88cQT7N27l0AgQHp6OjfffDMPPPAAmqaxfPlyHnzwQW688UaOHDlCamoqEydOJCUlBYALL7yQt956i9/+9rcsWbKE2NhYJk6cGD7HSy+9xB133MF//Md/4Pf7mThxIsuXLz9hKOpU7r77bgoLC5k/fz4mk4mbbrqJyy+/nMrKSgBiY2P5/PPPefLJJ3G73fTp04fHH3+cmTNntmyHCSHOmKYiGXQWQgghhOjgZM6NEEIIIToVSW6EEEII0alIciOEEEKITkWSGyGEEEJ0KpLcCCGEEKJTkeRGCCGEEJ2KJDdCCCGE6FQkuRFCCCFEpyLJjRBCCCE6FUluhBBCCNGpSHIjhBBCiE5FkhshhBBCdCr/Hyw6lgBntulcAAAAAElFTkSuQmCC", + "image/png": 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", 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      " ] @@ -304,13 +319,13 @@ } ], "source": [ - "res.node[\"T1\"].loc[0:3600*36, query].plot(style='k.')\n", + "# res.node[\"T1\"].loc[0:3600*36, query].plot(style='k.')\n", "for newk, resk in d_k1.items():\n", " resk.node[\"CL2\"].loc[0:3600*36, query].plot()\n", - "plt.legend(['Tracer', *[\"{:.1f}\".format(k) for k in d_k1.keys()]], title=\"k1 (1/day)\")\n", - "plt.title(\"Cl2 at node {}\".format(query))\n", + "plt.legend([\"{:.1f}\".format(k) for k in d_k1.keys()], title=\"k1 (1/day)\")\n", + "plt.title(\"Chlorine residual at node {}\".format(query))\n", "plt.xlabel('Seconds')\n", - "plt.ylabel('River Fraction [/100%] // Concentraion [mg/L]')" + "plt.ylabel('Concentraion [mg/L]')" ] }, { From 4894e82653bce7b5d3a0e3cd2b02cb4fb249cf7b Mon Sep 17 00:00:00 2001 From: David Hart Date: Tue, 7 May 2024 11:10:12 -0600 Subject: [PATCH 069/118] Update to demo --- examples/demos/multisource-cl-decay.ipynb | 28 ++++++++++++----------- 1 file changed, 15 insertions(+), 13 deletions(-) diff --git a/examples/demos/multisource-cl-decay.ipynb b/examples/demos/multisource-cl-decay.ipynb index 943f9e898..5e9e106da 100644 --- a/examples/demos/multisource-cl-decay.ipynb +++ b/examples/demos/multisource-cl-decay.ipynb @@ -70,7 +70,11 @@ "### Add the MSX reaction system information\n", "This reaction system comes from the EPANET-MSX user manual. There are two species: Free Chlorine and a tracer. The tracer is used to select which decay coefficient is being used. The river is source 1, the lake is source 2.\n", "\n", - "The amount of free chlorine is based on the rate reaction below, " + "The amount of free chlorine is based on the rate reaction:\n", + "\n", + "$$\n", + " \\frac{d}{dt}\\mathrm{Cl_2} = -(k_1 T + k_2(1-T)) \\mathrm{Cl_2}\n", + "$$" ] }, { @@ -82,15 +86,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "(\"Species(name='CL2', species_type=, units='MG', \"\n", - " \"atol=None, rtol=None, note='Free Chlorine')\")\n" + "Species(name='CL2', species_type=, units='MG', atol=None, rtol=None, note='Free Chlorine')\n" ] } ], "source": [ "T1 = wn.msx.add_species('T1','bulk',units='MG', note='Source 1 Tracer')\n", "Cl2 = wn.msx.add_species('CL2','bulk', units='MG', note='Free Chlorine')\n", - "pprint(repr(Cl2))" + "print(repr(Cl2))" ] }, { @@ -102,14 +105,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "\"Constant(name='k2', value=17.7, units='1/day')\"\n" + "Constant(name='k2', value=17.7, units='1/day')\n" ] } ], "source": [ "k1 = wn.msx.add_constant('k1', 1.3, units='1/day')\n", "k2 = wn.msx.add_constant('k2', 17.7, units='1/day')\n", - "pprint(repr(k2))" + "print(repr(k2))" ] }, { @@ -121,15 +124,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "(\"Reaction(species_name='CL2', expression_type=, \"\n", - " \"expression='-(k1*T1 + k2*(1-T1))*CL2')\")\n" + "Reaction(species_name='CL2', expression_type=, expression='-(k1*T1 + k2*(1-T1))*CL2')\n" ] } ], "source": [ "rxn_T1 = wn.msx.add_reaction('T1', 'pipe', 'rate', '0')\n", "rxn_Cl2 = wn.msx.add_reaction('CL2', 'pipe', 'rate', '-(k1*T1 + k2*(1-T1))*CL2')\n", - "pprint(repr(rxn_Cl2))" + "print(repr(rxn_Cl2))" ] }, { @@ -142,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -176,15 +178,15 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Node results: demand, head, pressure, quality, T1, CL2\n", - "Link results: quality, flowrate, velocity, headloss, status, setting, friction_factor, reaction_rate, T1, CL2\n" + "Node results: demand, head, pressure, quality, T1, CL2\n", + "Link results: quality, flowrate, velocity, headloss, status, setting, friction_factor, reaction_rate, T1, CL2\n" ] } ], From 8124da7257c32347a2d6cd1d29fe4f2a2f16a0e4 Mon Sep 17 00:00:00 2001 From: David Hart Date: Mon, 20 May 2024 11:06:03 -0600 Subject: [PATCH 070/118] MSX updates * Move library to new directory * Updates to documentation * New ipynb demo * various bug fixes --- MANIFEST.in | 4 +- documentation/advancedsim.rst | 32 +- documentation/references.bib | 21 + documentation/resultsobject.rst | 16 + documentation/waterquality.rst | 6 +- documentation/waterquality_msx.rst | 8 +- examples/data/Net3_arsenic.msx | 1 + examples/demos/multisource-cl-decay.ipynb | 277 +++++- wntr/epanet/msx/io.py | 2 +- wntr/library/msx/__init__.py | 1 + .../library.py => library/msx/_msxlibrary.py} | 14 +- .../msx}/arsenic_chloramine.json | 0 .../msx}/batch_chloramine_decay.json | 0 .../msx}/lead_ppm.json | 0 .../msx}/nicotine.json | 0 .../msx}/nicotine_ri.json | 0 wntr/msx/__init__.py | 3 +- wntr/msx/_library_data/msx.schema.json | 873 ------------------ wntr/msx/base.py | 36 +- wntr/msx/elements.py | 6 +- wntr/msx/io.py | 123 +++ wntr/msx/model.py | 13 +- 22 files changed, 516 insertions(+), 920 deletions(-) create mode 100644 wntr/library/msx/__init__.py rename wntr/{msx/library.py => library/msx/_msxlibrary.py} (98%) rename wntr/{msx/_library_data => library/msx}/arsenic_chloramine.json (100%) rename wntr/{msx/_library_data => library/msx}/batch_chloramine_decay.json (100%) rename wntr/{msx/_library_data => library/msx}/lead_ppm.json (100%) rename wntr/{msx/_library_data => library/msx}/nicotine.json (100%) rename wntr/{msx/_library_data => library/msx}/nicotine_ri.json (100%) delete mode 100644 wntr/msx/_library_data/msx.schema.json create mode 100644 wntr/msx/io.py diff --git a/MANIFEST.in b/MANIFEST.in index 7157c882b..0f6c9b053 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -8,5 +8,5 @@ include wntr/sim/aml/numpy.i include wntr/sim/network_isolation/network_isolation* include wntr/sim/network_isolation/numpy.i include wntr/tests/networks_for_testing/*.inp -include wntr/msx/_library_data/*.json -include wntr/msx/_library_data/*.msx +include wntr/library/msx/*.json +include wntr/library/msx/*.msx diff --git a/documentation/advancedsim.rst b/documentation/advancedsim.rst index cb295bdd3..2235aa640 100644 --- a/documentation/advancedsim.rst +++ b/documentation/advancedsim.rst @@ -252,7 +252,9 @@ The solution for :math:`u` and :math:`v` is then returned and printed to four si Building MSX models ------------------- -The following two examples illustrate how to build :class:`~wntr.msx.model.MsxModel` objects in WNTR +The following two examples illustrate how to build :class:`~wntr.msx.model.MsxModel` objects in WNTR. +There is also a jupyter notebook in the examples/demos source directory called multisource-cl-decay.ipynb +that demonstrates this process with Net3. .. _msx_example1_lead: @@ -260,7 +262,7 @@ Plumbosolvency of lead ^^^^^^^^^^^^^^^^^^^^^^ The following example builds the plumbosolvency of lead model -described in [BWMS20]_. The model represents plumbosolvency +described in :cite:p:`bwms20`. The model represents plumbosolvency in lead pipes within a dwelling. The MSX model is built without a specific water network model in mind. @@ -332,7 +334,7 @@ Type Name Value Units --------------- --------------- --------------- --------------------------------- ------------------------ constant :math:`M` 0.117 :math:`\mathrm{μg~m^{-2}~s^{-1}}` desorption rate constant :math:`E` 140.0 :math:`\mathrm{μg~L^{-1}}` saturation level -parameter :math:`F` 0 `n/a` is pipe made of lead? +parameter :math:`F` 0 `flag` is pipe made of lead? =============== =============== =============== ================================= ======================== These are added to the MsxModel using the using the @@ -344,7 +346,18 @@ methods. >>> msx.add_constant("M", value=0.117, note="Desorption rate (ug/m^2/s)", units="ug * m^(-2) * s^(-1)") >>> msx.add_constant("E", value=140.0, note="saturation/plumbosolvency level (ug/L)", units="ug/L") - >>> msx.add_parameter("F", global_value=0, note="determines which pipes have reactions") + >>> msx.add_parameter("F", global_value=0, note="determines which pipes are made of lead") + +If the value of one of these needs to be modified, then it can be accessed and modified as an object +in the same manner as other WNTR objects. + +.. doctest:: + + >>> M = msx.reaction_system.constants['M'] + >>> M.value = 0.118 + >>> M + Constant(name='M', value=0.118, units='ug * m^(-2) * s^(-1)', note='Desorption rate (ug/m^2/s)') + Note that all models must include both pipe and tank reactions. Since the model only has reactions within @@ -374,16 +387,23 @@ method. .. doctest:: >>> msx.add_reaction("PB2", "pipe", "RATE", expression="F * Av * M * (E - PB2) / E") + + +If the species is saved as an object, as was done above, then it can be passed instead of the species name. + +.. doctest:: + >>> msx.add_reaction(PB2, "tank", "rate", expression="0") + Arsenic oxidation and adsorption ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ This example models monochloramine oxidation of arsenite/arsenate and wall -adsorption/desorption, as given in section 3 of the EPANET-MSX user manual [SRU23]_. +adsorption/desorption, as given in section 3 of the EPANET-MSX user manual :cite:p:`shang2023`. The system of equations for the reaction in pipes is given in Eq. (2.4) through (2.7) -in [SRU23]_. This is a simplified model, taken from [GSCL94]_. +in :cite:p:`shang2023`. This is a simplified model, taken from :cite:p:`gscl94`. .. math:: diff --git a/documentation/references.bib b/documentation/references.bib index e07d3450c..13f609914 100644 --- a/documentation/references.bib +++ b/documentation/references.bib @@ -39,6 +39,18 @@ @misc{bieni19 year = "2019" } +@article{bwms20, + author="Burkhardt, J. B. and Woo, J. and Mason, J. and Shang, F. and Triantafyllidou, S. and Schock, M.R., and Lytle, D., and Murray, R." , + year = 2020, + title="Framework for Modeling Lead in Premise Plumbing Systems Using EPANET", + journal="Journal of Water Resources Planning and Management", + volume=146, + number=12, + doi="10.1061/(asce)wr.1943-5452.0001304", + eprint="33627937", + eprintclass="PMID" +} + @book{crlo02, author = "Crowl, D.A. and Louvar, J.F.", address = "Upper Saddle River, NJ", @@ -79,6 +91,15 @@ @misc{gacl18 year = "2018" } +@article{gscl94, + author = "Gu, B. and Schmitt, J. and Chen, Z. and Liang, L. and McCarthy, J.F.", + title = "Adsorption and desorption of natural organic matter on iron oxide: mechanisms and models", + year = "1994", + journal = "Environmental Science and Technology", + volume = "28", + pages = "38--46" +} + @inproceedings{hass08, author = "Hagberg, Aric A. and Schult, Daniel A. and Swart, Pieter J.", booktitle = "Proceedings of the 7th {Python} in Science Conference ({SciPy2008}), August 19-24, Pasadena, CA, USA", diff --git a/documentation/resultsobject.rst b/documentation/resultsobject.rst index 7ba089176..20c8e0c45 100644 --- a/documentation/resultsobject.rst +++ b/documentation/resultsobject.rst @@ -206,3 +206,19 @@ For example, DataFrames can be saved to Excel files using: .. note:: The Pandas method ``to_excel`` requires the Python package **openpyxl** :cite:p:`gacl18`, which is an optional dependency of WNTR. + + +Water quality results +--------------------- +Water quality metrics are stored under the 'quality' key of the node and link results +if the EpanetSimulator is used. The units of the quality results depend on the quality +parameter that is used (see :ref:`_water_quality_simulation`) and can be the age, +concentration, or the fraction of water that belongs to a tracer. If the parameter +is set to 'NONE', then the quality results will be zero. + +The quality of a link is equal to the average across the length of the link. The quality +at a node is the instantaneous value. + +When using the EPANET-MSX water quality model, each species is given its own key in the +node and link results objects, and the 'quality' results still references the EPANET +water quality results. diff --git a/documentation/waterquality.rst b/documentation/waterquality.rst index 8b8c6ee37..697c83f60 100644 --- a/documentation/waterquality.rst +++ b/documentation/waterquality.rst @@ -18,10 +18,10 @@ Water quality simulation Water quality simulations can only be run using the EpanetSimulator. This includes the ability to run -EPANET 2.00.12 Programmer's Toolkit [Ross00]_ or -EPANET 2.2.0 Programmer's Toolkit [RWTS20]_ for single species, water age, and tracer analysis. +EPANET 2.00.12 Programmer's Toolkit :cite:p:`ross00` or +EPANET 2.2.0 Programmer's Toolkit :cite:p:`rwts20` for single species, water age, and tracer analysis. -WNTR also includes the ability to run EPANET-MSX 2.0 [SRU23]_, see :ref:`msx_water_quality` for more information. +WNTR also includes the ability to run EPANET-MSX 2.0 :cite:p:`shang2023`, see :ref:`msx_water_quality` for more information. After defining water quality options and sources (described in the :ref:`wq_options` and :ref:`sources` sections below), a hydraulic and water quality simulation using the EpanetSimulator is run using the following code: diff --git a/documentation/waterquality_msx.rst b/documentation/waterquality_msx.rst index 3ffcf6145..bbb4826a9 100644 --- a/documentation/waterquality_msx.rst +++ b/documentation/waterquality_msx.rst @@ -18,13 +18,13 @@ Multi-species water quality simulation ======================================= -The EpanetSimulator can use EPANET-MSX 2.0 [SRU23]_ to run +The EpanetSimulator can use EPANET-MSX 2.0 :cite:p:`shang2023` to run multi-species water quality simulations. Additional multi-species simulation options are discussed in :ref:`advanced_simulation`. A multi-species analysis is run if a :class:`~wntr.msx.model.MsxModel` is added to the :class:`~wntr.network.model.WaterNetworkModel`, as shown below. -In this example, the MsxModel is created from a MSX file (see [SRU23]_ for more information on file format). +In this example, the MsxModel is created from a MSX file (see :cite:p:`shang2023` for more information on file format). .. doctest:: @@ -80,9 +80,9 @@ WNTR also contains a library of MSX models that are accessed through the :class:`~wntr.msx.library.ReactionLibrary`. This includes the following models: -* `Arsenic oxidation/adsorption `_ [SRU23]_ +* `Arsenic oxidation/adsorption `_ :cite:p:`shang2023` * `Batch chloramine decay `_ -* `Lead plumbosolvency `_ [BWMS20]_ +* `Lead plumbosolvency `_ :cite:p:`bwms20` * `Nicotine/chlorine reaction `_ * `Nicotine/chlorine reaction with reactive intermediate `_ diff --git a/examples/data/Net3_arsenic.msx b/examples/data/Net3_arsenic.msx index bb01238ae..51c37cafd 100644 --- a/examples/data/Net3_arsenic.msx +++ b/examples/data/Net3_arsenic.msx @@ -48,6 +48,7 @@ Arsenic Oxidation/Adsorption Example ;Initial conditions (= 0 if not specified here) NODE River AS3 10.0 NODE River NH2CL 2.5 + NODE Lake NH2CL 2.5 [REPORT] NODES All ;Report results for nodes C and D diff --git a/examples/demos/multisource-cl-decay.ipynb b/examples/demos/multisource-cl-decay.ipynb index 5e9e106da..da1115d55 100644 --- a/examples/demos/multisource-cl-decay.ipynb +++ b/examples/demos/multisource-cl-decay.ipynb @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Species(name='CL2', species_type=, units='MG', atol=None, rtol=None, note='Free Chlorine')\n" + "Species(name='CL2', species_type='BULK', units='MG', atol=None, rtol=None, note='Free Chlorine')\n" ] } ], @@ -124,7 +124,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Reaction(species_name='CL2', expression_type=, expression='-(k1*T1 + k2*(1-T1))*CL2')\n" + "Reaction(species_name='CL2', expression_type='RATE', expression='-(k1*T1 + k2*(1-T1))*CL2')\n" ] } ], @@ -330,12 +330,281 @@ "plt.ylabel('Concentraion [mg/L]')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Save the model\n", + "The model is now saved in two formats: the EPANET-MSX style format as Net3.msx and then as a JSON file, Net3-msx.json.\n", + "We also can save the model as in a library format; this strips the JSON file of any network-specific information so that it only contains the species, constants, and reaction dynamics." + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "from wntr.msx import io as msxio\n", + "msxio.write_msxfile(wn.msx, 'Net3.msx')\n", + "msxio.write_json(wn.msx, 'Net3-msx.json')\n", + "msxio.write_json(wn.msx, 'multisource-cl.json', as_library=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can look at the file that was written out, and we can read in the two JSON files to see how the library format has stripped out the network data." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "; WNTR-reactions MSX file generated 2024-05-20 07:00:10.969400\n", + "\n", + "[TITLE]\n", + " Multisource Chlorine Decay\n", + "\n", + "[OPTIONS]\n", + " AREA_UNITS FT2\n", + " RATE_UNITS DAY\n", + " SOLVER RK5\n", + " COUPLING NONE\n", + " TIMESTEP 300\n", + " ATOL 0.0001\n", + " RTOL 0.0001\n", + " COMPILER NONE\n", + " SEGMENTS 5000\n", + " PECLET 1000\n", + "\n", + "[SPECIES]\n", + " BULK T1 MG ; Source 1 Tracer\n", + " BULK CL2 MG ; Free Chlorine\n", + "\n", + "[COEFFICIENTS]\n", + " CONSTANT k1 16.900000000000002\n", + " CONSTANT k2 17.7 \n", + "\n", + "[TERMS]\n", + "\n", + "[PIPES]\n", + " RATE T1 0 \n", + " RATE CL2 -(k1*T1 + k2*(1-T1))*CL2 \n", + "\n", + "[TANKS]\n", + "\n", + "[DIFFUSIVITY]\n", + "\n", + "[PARAMETERS]\n", + "\n", + "[PATTERNS]\n", + "\n", + "[REPORT]\n", + "\n", + "[QUALITY]\n", + " NODE River T1 1.0\n", + " NODE River CL2 1.2\n", + " NODE Lake CL2 1.2\n", + "\n", + "[SOURCES]\n", + "\n", + "\n" + ] + } + ], + "source": [ + "with open('Net3.msx', 'r') as fin:\n", + " print(fin.read())" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "With network data:\n", + "{'initial_quality': {'CL2': {'global_value': 0.0,\n", + " 'link_values': {},\n", + " 'node_values': {'Lake': 1.2, 'River': 1.2}},\n", + " 'T1': {'global_value': 0.0,\n", + " 'link_values': {},\n", + " 'node_values': {'River': 1.0}}},\n", + " 'parameter_values': {},\n", + " 'patterns': {},\n", + " 'sources': {}}\n", + "As a library:\n", + "{'initial_quality': {}, 'parameter_values': {}, 'patterns': {}, 'sources': {}}\n" + ] + } + ], + "source": [ + "import json\n", + "with_net: dict = None\n", + "without_net: dict = None\n", + "\n", + "with open('Net3-msx.json', 'r') as fin:\n", + " with_net = json.load(fin)\n", + "with open('multisource-cl.json', 'r') as fin:\n", + " without_net = json.load(fin)\n", + "\n", + "print('With network data:')\n", + "pprint(with_net['network_data'])\n", + "\n", + "print('As a library:')\n", + "pprint(without_net['network_data'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using the MSX WNTR library\n", + "WNTR now includes a library functionality that allows a user to access certain objects by name.\n", + "The MSX integration includes adding a library of certain reaction models that are described in\n", + "the EPANET-MSX user manual. This section demonstrates how to use the model that was just saved\n", + "in the library." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['arsenic_chloramine',\n", + " 'batch_chloramine_decay',\n", + " 'lead_ppm',\n", + " 'msx.schema',\n", + " 'nicotine',\n", + " 'nicotine_ri',\n", + " 'ms-cl-tmp',\n", + " 'Multisource-Cl',\n", + " 'Net3-msx',\n", + " 'Net3',\n", + " 'Net3_multisource-cl',\n", + " 'temp.check',\n", + " 'temp']" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from wntr.library.msx import MsxLibrary\n", + "my_library = MsxLibrary(extra_paths=['.']) # load files from the current directory\n", + "my_library.model_name_list()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that this has pulled in a lot more files than might be expected. This is because it is getting the default models (the first five models) followed by all the models in the current directory ('.'). It grabs any file that has the extension .json or .msx, which means that it has pulled in \"temp\", since this demo has run the EpanetSimulator several times, Net3, Net3-msx, and multisource-cl, because they were just created.\n", + "\n", + "The models are accessed by name. To see how they are different, compare the initial quality for the \"Net3\" model (which came from the .msx file created above) and the \"multisource-cl\" model (created with as_library=True)." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'T1': InitialQuality(global_value=0.0, node_values=<1 entries>, link_values=<0 entries>),\n", + " 'CL2': InitialQuality(global_value=0.0, node_values=<2 entries>, link_values=<0 entries>)}" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "my_library.get_model('Net3').network_data.initial_quality" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'T1': InitialQuality(global_value=0.0, node_values=<0 entries>, link_values=<0 entries>),\n", + " 'CL2': InitialQuality(global_value=0.0, node_values=<0 entries>, link_values=<0 entries>)}" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "my_library.get_model('Multisource-Cl').network_data.initial_quality" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, examine a model that comes from the built-in data." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "AS3 \t Species(name='AS3', species_type='BULK', units='UG', atol=None, rtol=None, note='Dissolved arsenite')\n", + "AS5 \t Species(name='AS5', species_type='BULK', units='UG', atol=None, rtol=None, note='Dissolved arsenate')\n", + "AStot \t Species(name='AStot', species_type='BULK', units='UG', atol=None, rtol=None, note='Total dissolved arsenic')\n", + "AS5s \t Species(name='AS5s', species_type='WALL', units='UG', atol=None, rtol=None, note='Adsorbed arsenate')\n", + "NH2CL \t Species(name='NH2CL', species_type='BULK', units='MG', atol=None, rtol=None, note='Monochloramine')\n", + "Ka \t Constant(name='Ka', value=10.0, units='1 / (MG * HR)', note='Arsenite oxidation rate coefficient')\n", + "Kb \t Constant(name='Kb', value=0.1, units='1 / HR', note='Monochloramine decay rate coefficient')\n", + "K1 \t Constant(name='K1', value=5.0, units='M^3 / (UG * HR)', note='Arsenate adsorption coefficient')\n", + "K2 \t Constant(name='K2', value=1.0, units='1 / HR', note='Arsenate desorption coefficient')\n", + "Smax \t Constant(name='Smax', value=50.0, units='UG / M^2', note='Arsenate adsorption limit')\n", + "Ks \t Term(name='Ks', expression='K1/K2', note='Equil. adsorption coeff.')\n", + "AS3 \t Reaction(species_name='AS3', expression_type='RATE', expression='-Ka*AS3*NH2CL', note='Arsenite oxidation')\n", + "AS5 \t Reaction(species_name='AS5', expression_type='RATE', expression='Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)', note='Arsenate production less adsorption')\n", + "NH2CL \t Reaction(species_name='NH2CL', expression_type='RATE', expression='-Kb*NH2CL', note='Monochloramine decay')\n", + "AS5s \t Reaction(species_name='AS5s', expression_type='EQUIL', expression='Ks*Smax*AS5/(1+Ks*AS5) - AS5s', note='Arsenate adsorption')\n", + "AStot \t Reaction(species_name='AStot', expression_type='FORMULA', expression='AS3 + AS5', note='Total arsenic')\n", + "AS3 \t Reaction(species_name='AS3', expression_type='RATE', expression='-Ka*AS3*NH2CL', note='Arsenite oxidation')\n", + "AS5 \t Reaction(species_name='AS5', expression_type='RATE', expression='Ka*AS3*NH2CL', note='Arsenate production')\n", + "NH2CL \t Reaction(species_name='NH2CL', expression_type='RATE', expression='-Kb*NH2CL', note='Monochloramine decay')\n", + "AStot \t Reaction(species_name='AStot', expression_type='FORMULA', expression='AS3 + AS5', note='Total arsenic')\n" + ] + } + ], + "source": [ + "arsenic = my_library.get_model('arsenic_chloramine')\n", + "for key,value in arsenic.reaction_system.variables(): print(key, '\\t', repr(value))\n", + "for key,value in arsenic.reaction_system.reactions(): print(key, '\\t', repr(value))" + ] } ], "metadata": { diff --git a/wntr/epanet/msx/io.py b/wntr/epanet/msx/io.py index 5ac252e09..47e35d5c6 100644 --- a/wntr/epanet/msx/io.py +++ b/wntr/epanet/msx/io.py @@ -847,7 +847,7 @@ def _write_report(self, fout): fout.write("\n") -def MsxBinFile(filename, wn: wntr.network.WaterNetworkModel, res = None): +def MsxBinFile(filename, wn, res = None): duration = int(wn.options.time.duration) if res is None: from wntr.sim.results import SimulationResults diff --git a/wntr/library/msx/__init__.py b/wntr/library/msx/__init__.py new file mode 100644 index 000000000..403cb8c23 --- /dev/null +++ b/wntr/library/msx/__init__.py @@ -0,0 +1 @@ +from ._msxlibrary import MsxLibrary diff --git a/wntr/msx/library.py b/wntr/library/msx/_msxlibrary.py similarity index 98% rename from wntr/msx/library.py rename to wntr/library/msx/_msxlibrary.py index 62ce4d1ea..117be0c82 100644 --- a/wntr/msx/library.py +++ b/wntr/library/msx/_msxlibrary.py @@ -5,7 +5,7 @@ .. rubric:: Environment Variable -.. envvar:: WNTR_RXN_LIBRARY_PATH +.. envvar:: WNTR_LIBRARY_PATH This environment variable, if set, will add additional folder(s) to the path to search for multi-species water quality model files, @@ -23,8 +23,8 @@ from pkg_resources import resource_filename -from .base import ExpressionType, ReactionType, SpeciesType -from .model import MsxModel +from wntr.msx.base import ExpressionType, ReactionType, SpeciesType +from wntr.msx.model import MsxModel try: import yaml @@ -45,7 +45,7 @@ logger = logging.getLogger(__name__) -class ReactionLibrary: +class MsxLibrary: """Library of multi-species water quality models This object can be accessed and treated like a dictionary, where keys are @@ -78,7 +78,7 @@ def __init__(self, extra_paths: List[str] = None, include_builtins=True, Load files built-in with WNTR, by default True include_envvar_paths : bool, optional Load files from the paths specified in - :envvar:`WNTR_RXN_LIBRARY_PATH`, by default True + :envvar:`WNTR_LIBRARY_PATH`, by default True load : bool or str, optional Load the files immediately on creation, by default True. If a string, then it will be passed as the `duplicates` argument @@ -99,12 +99,12 @@ def __init__(self, extra_paths: List[str] = None, include_builtins=True, self.__data = dict() if include_builtins: - default_path = os.path.abspath(resource_filename(__name__, "_library_data")) + default_path = os.path.abspath(resource_filename(__name__, '.')) if default_path not in self.__library_paths: self.__library_paths.append(default_path) if include_envvar_paths: - environ_path = os.environ.get("WNTR_RXN_LIBRARY_PATH", None) + environ_path = os.environ.get("WNTR_LIBRARY_PATH", None) if environ_path: lib_folders = environ_path.split(";") for folder in lib_folders: diff --git a/wntr/msx/_library_data/arsenic_chloramine.json b/wntr/library/msx/arsenic_chloramine.json similarity index 100% rename from wntr/msx/_library_data/arsenic_chloramine.json rename to wntr/library/msx/arsenic_chloramine.json diff --git a/wntr/msx/_library_data/batch_chloramine_decay.json b/wntr/library/msx/batch_chloramine_decay.json similarity index 100% rename from wntr/msx/_library_data/batch_chloramine_decay.json rename to wntr/library/msx/batch_chloramine_decay.json diff --git a/wntr/msx/_library_data/lead_ppm.json b/wntr/library/msx/lead_ppm.json similarity index 100% rename from wntr/msx/_library_data/lead_ppm.json rename to wntr/library/msx/lead_ppm.json diff --git a/wntr/msx/_library_data/nicotine.json b/wntr/library/msx/nicotine.json similarity index 100% rename from wntr/msx/_library_data/nicotine.json rename to wntr/library/msx/nicotine.json diff --git a/wntr/msx/_library_data/nicotine_ri.json b/wntr/library/msx/nicotine_ri.json similarity index 100% rename from wntr/msx/_library_data/nicotine_ri.json rename to wntr/library/msx/nicotine_ri.json diff --git a/wntr/msx/__init__.py b/wntr/msx/__init__.py index d563c9a97..3daaa7e4b 100644 --- a/wntr/msx/__init__.py +++ b/wntr/msx/__init__.py @@ -8,6 +8,5 @@ from .elements import Species, Constant, Parameter, Term, Reaction, HydraulicVariable, MathFunction from .model import MsxModel from .options import MsxSolverOptions -from .library import ReactionLibrary -from . import base, elements, library, model, options +from . import base, elements, model, options, io diff --git a/wntr/msx/_library_data/msx.schema.json b/wntr/msx/_library_data/msx.schema.json deleted file mode 100644 index 24feef0e2..000000000 --- a/wntr/msx/_library_data/msx.schema.json +++ /dev/null @@ -1,873 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "type": "object", - "properties": { - "wntr-version": { - "type": "string" - }, - "name": { - "type": "string" - }, - "title": { - "type": "string" - }, - "description": { - "type": [ - "null", - "string" - ] - }, - "references": { - "type": "array", - "items": { - "type": "string" - } - }, - "reaction_system": { - "type": "object", - "properties": { - "species": { - "type": "array", - "items": { - "type": "object", - "properties": { - "name": { - "type": "string" - }, - "species_type": { - "type": "string" - }, - "units": { - "type": "string" - }, - "atol": { - "type": "null" - }, - "rtol": { - "type": "null" - }, - "note": { - "type": "string" - } - }, - "required": [ - "atol", - "name", - "note", - "rtol", - "species_type", - "units" - ] - } - }, - "constants": { - "type": "array", - "items": { - "type": "object", - "properties": { - "name": { - "type": "string" - }, - "value": { - "type": "number" - }, - "units": { - "type": "string" - }, - "note": { - "type": "string" - } - }, - "required": [ - "name", - "note", - "units", - "value" - ] - } - }, - "parameters": { - "type": "array", - "items": { - "type": "object", - "properties": { - "name": { - "type": "string" - }, - "global_value": { - "type": "number" - }, - "note": { - "type": "string" - } - }, - "required": [ - "global_value", - "name" - ] - } - }, - "terms": { - "type": "array", - "items": { - "type": "object", - "properties": { - "name": { - "type": "string" - }, - "expression": { - "type": "string" - }, - "note": { - "type": "string" - } - }, - "required": [ - "expression", - "name" - ] - } - }, - "pipe_reactions": { - "type": "array", - "items": { - "type": "object", - "properties": { - "species_name": { - "type": "string" - }, - "expression_type": { - "type": "string" - }, - "expression": { - "type": "string" - }, - "note": { - "type": "string" - } - }, - "required": [ - "expression", - "expression_type", - "species_name" - ] - } - }, - "tank_reactions": { - "type": "array", - "items": { - "type": "object", - "properties": { - "species_name": { - "type": "string" - }, - "expression_type": { - "type": "string" - }, - "expression": { - "type": "string" - }, - "note": { - "type": "string" - } - }, - "required": [ - "expression", - "expression_type", - "species_name" - ] - } - } - }, - "required": [ - "constants", - "parameters", - "pipe_reactions", - "species", - "tank_reactions", - "terms" - ] - }, - "network_data": { - "type": "object", - "properties": { - "initial_quality": { - "type": "object", - "properties": { - "AS3": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "AS5": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "AStot": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "AS5s": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "NH2CL": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "HOCL": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "NH3": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "NHCL2": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "I": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "OCL": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "NH4": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "ALK": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "H": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "OH": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "CO3": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "HCO3": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "H2CO3": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "chloramine": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "PB2": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "Nx": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - }, - "NX2": { - "type": "object", - "properties": { - "global_value": { - "type": "number" - }, - "node_values": { - "type": "object" - }, - "link_values": { - "type": "object" - } - }, - "required": [ - "global_value", - "link_values", - "node_values" - ] - } - } - }, - "parameter_values": { - "type": "object", - "properties": { - "k1": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - }, - "k2": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - }, - "k3": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - }, - "k4": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - }, - "k6": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - }, - "k7": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - }, - "k8": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - }, - "k9": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - }, - "k10": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - }, - "F": { - "type": "object", - "properties": { - "pipe_values": { - "type": "object" - }, - "tank_values": { - "type": "object" - } - }, - "required": [ - "pipe_values", - "tank_values" - ] - } - } - }, - "sources": { - "type": "object" - }, - "patterns": { - "type": "object" - } - }, - "required": [ - "initial_quality", - "parameter_values", - "patterns", - "sources" - ] - }, - "options": { - "type": "object", - "properties": { - "timestep": { - "type": "integer" - }, - "area_units": { - "type": "string" - }, - "rate_units": { - "type": "string" - }, - "solver": { - "type": "string" - }, - "coupling": { - "type": "string" - }, - "rtol": { - "type": "number" - }, - "atol": { - "type": "number" - }, - "compiler": { - "type": "string" - }, - "segments": { - "type": "integer" - }, - "peclet": { - "type": "integer" - }, - "report": { - "type": "object", - "properties": { - "pagesize": { - "type": "null" - }, - "report_filename": { - "type": "null" - }, - "species": { - "type": "object", - "properties": { - "PB2": { - "type": "string" - } - } - }, - "species_precision": { - "type": "object", - "properties": { - "PB2": { - "type": "integer" - } - } - }, - "nodes": { - "type": [ - "null", - "string" - ] - }, - "links": { - "type": [ - "null", - "string" - ] - } - }, - "required": [ - "links", - "nodes", - "pagesize", - "report_filename", - "species", - "species_precision" - ] - } - }, - "required": [ - "area_units", - "atol", - "compiler", - "coupling", - "peclet", - "rate_units", - "report", - "rtol", - "segments", - "solver", - "timestep" - ] - } - }, - "required": [ - "description", - "name", - "network_data", - "options", - "reaction_system", - "references", - "title", - "wntr-version" - ] -} diff --git a/wntr/msx/base.py b/wntr/msx/base.py index bee6b727d..74d30a6e8 100644 --- a/wntr/msx/base.py +++ b/wntr/msx/base.py @@ -209,6 +209,9 @@ class VariableType(Enum): C = CONST = CONSTANT R = RES = RESERVED + def __repr__(self): + return repr(self.name) + @add_get(abbrev=True) class SpeciesType(Enum): @@ -238,6 +241,9 @@ class SpeciesType(Enum): B = BULK W = WALL + def __repr__(self): + return repr(self.name) + @add_get(abbrev=True) class ReactionType(Enum): @@ -266,6 +272,9 @@ class ReactionType(Enum): P = PIPE T = TANK + def __repr__(self): + return repr(self.name) + @add_get(abbrev=True) class ExpressionType(Enum): @@ -303,6 +312,9 @@ class ExpressionType(Enum): R = RATE F = FORMULA + def __repr__(self): + return repr(self.name) + class ReactionBase(ABC): """Water quality reaction class @@ -374,7 +386,8 @@ def species_name(self) -> str: """Name of the species that has a reaction being defined.""" return self._species_name - @abstractproperty + @property + @abstractmethod def reaction_type(self) -> Enum: """Reaction type (reaction location).""" raise NotImplementedError @@ -450,15 +463,15 @@ def __init__(self, name: str, *, note: NoteType = None) -> None: """Optional note regarding the variable (see :class:`~wntr.epanet.util.NoteType`) """ - @abstractproperty + @property + @abstractmethod def var_type(self) -> Enum: """Type of reaction variable""" raise NotImplementedError - @abstractmethod def to_dict(self) -> Dict[str, Any]: """Represent the object as a dictionary""" - raise NotImplementedError + return dict(name=self.name) def __str__(self) -> str: """Return the name of the variable""" @@ -573,7 +586,8 @@ class VariableValuesBase(ABC): and methods documented here must be defined by a subclass. """ - @abstractproperty + @property + @abstractmethod def var_type(self) -> Enum: """Type of variable this object holds data for.""" raise NotImplementedError @@ -650,7 +664,8 @@ def __init__(self, filename=None): self._wn = None """Protected water network object""" - @abstractproperty + @property + @abstractmethod def options(self): """Model options structure @@ -659,7 +674,8 @@ def options(self): """ raise NotImplementedError - @abstractproperty + @property + @abstractmethod def reaction_system(self) -> ReactionSystemBase: """Reaction variables defined for this model @@ -667,7 +683,8 @@ def reaction_system(self) -> ReactionSystemBase: """ raise NotImplementedError - @abstractproperty + @property + @abstractmethod def network_data(self) -> NetworkDataBase: """Network-specific values added to this model @@ -680,7 +697,8 @@ def to_dict(self) -> dict: """Represent the object as a dictionary""" raise NotImplementedError - @abstractclassmethod + @classmethod + @abstractmethod def from_dict(self, data: dict) -> "QualityModelBase": """Create a new model from a dictionary diff --git a/wntr/msx/elements.py b/wntr/msx/elements.py index 3499a59ef..0c923df9d 100644 --- a/wntr/msx/elements.py +++ b/wntr/msx/elements.py @@ -464,9 +464,9 @@ def var_type(self) -> VariableType: """Type of variable, :attr:`~wntr.msx.base.VariableType.RESERVED`.""" return VariableType.RESERVED - def to_dict(self) -> Dict[str, Any]: - """Dictionary representation of the object""" - return "{}({})".format(self.__class__.__name__, ", ".join(["name={}".format(repr(self.name)), "note={}".format(repr(self.note))])) + # def to_dict(self) -> Dict[str, Any]: + # """Dictionary representation of the object""" + # return "{}({})".format(self.__class__.__name__, ", ".join(["name={}".format(repr(self.name)), "note={}".format(repr(self.note))])) class HydraulicVariable(ReservedName): diff --git a/wntr/msx/io.py b/wntr/msx/io.py new file mode 100644 index 000000000..900f21e92 --- /dev/null +++ b/wntr/msx/io.py @@ -0,0 +1,123 @@ +""" +The wntr.msx.io module includes functions that convert the MSX reaction +model to other data formats, create an MSX model from a file, and write +the MSX model to a file. +""" +import logging +import json + + +logger = logging.getLogger(__name__) + +def to_dict(msx) -> dict: + """ + Convert a MsxModel into a dictionary + + Parameters + ---------- + msx : MsxModel + The MSX reaction model. + + Returns + ------- + dict + Dictionary representation of the MsxModel + """ + return msx.to_dict() + +def from_dict(d: dict): + """ + Create or append a MsxModel from a dictionary + + Parameters + ---------- + d : dict + Dictionary representation of the water network model. + + Returns + ------- + MsxModel + + """ + from wntr.msx.model import MsxModel + return MsxModel.from_dict(d) + +def write_json(msx, path_or_buf, as_library=False, **kw_json): + """ + Write the MSX model to a JSON file + + Parameters + ---------- + msx : MsxModel + The model to output. + path_or_buf : str or IO stream + Name of the file or file pointer. + as_library : bool, optional + Strip out network-specific elements if True, by default False. + kw_json : keyword arguments + Arguments to pass directly to :meth:`json.dump`. + """ + d = to_dict(msx) + if as_library: + d.get('network_data', {}).get('initial_quality',{}).clear() + d.get('network_data', {}).get('parameter_values',{}).clear() + d.get('network_data', {}).get('sources',{}).clear() + d.get('network_data', {}).get('patterns',{}).clear() + d.get('options', {}).get('report',{}).setdefault('nodes', None) + d.get('options', {}).get('report',{}).setdefault('links', None) + if isinstance(path_or_buf, str): + with open(path_or_buf, "w") as fout: + json.dump(d, fout, **kw_json) + else: + json.dump(d, path_or_buf, **kw_json) + +def read_json(path_or_buf, **kw_json): + """ + Create or append a WaterNetworkModel from a JSON file + + Parameters + ---------- + f : str + Name of the file or file pointer. + kw_json : keyword arguments + Keyword arguments to pass to `json.load`. + + Returns + ------- + MsxModel + + """ + if isinstance(path_or_buf, str): + with open(path_or_buf, "r") as fin: + d = json.load(fin, **kw_json) + else: + d = json.load(path_or_buf, **kw_json) + return from_dict(d) + +def write_msxfile(msx, filename): + """ + Write an EPANET-MSX input file (.msx) + + Parameters + ---------- + msx : MsxModel + The model to write + filename : str + The filename to use for output + """ + from wntr.epanet.msx.io import MsxFile + MsxFile.write(filename, msx) + +def read_msxfile(filename, append=None): + """ + Read in an EPANET-MSX input file (.msx) + + Parameters + ---------- + filename : str + The filename to read in. + append : MsxModel + An existing model to add data into, by default None. + """ + from wntr.epanet.msx.io import MsxFile + return MsxFile.read(filename, append) diff --git a/wntr/msx/model.py b/wntr/msx/model.py index be46e2201..bf3b9b3ed 100644 --- a/wntr/msx/model.py +++ b/wntr/msx/model.py @@ -133,13 +133,14 @@ def variables(self) -> Generator[tuple, None, None]: # FIXME: rename without "all_" for this """Generator looping through all variables""" for k, v in self._vars.items(): - yield k, v.var_type.name.lower(), v + if v.var_type.name.lower() not in ['reserved']: + yield k, v def reactions(self) -> Generator[tuple, None, None]: """Generator looping through all reactions""" for k2, v in self._rxns.items(): for k1, v1 in v.items(): - yield k1, k2, v1 + yield k1, v1 def to_dict(self) -> dict: """Dictionary representation of the MsxModel.""" @@ -724,14 +725,14 @@ def remove_reaction(self, species_name: str, reaction_type: ReactionType) -> Non """ reaction_type = ReactionType.get(reaction_type, allow_none=False) species_name = str(species_name) - del self.reaction_system.reactions[reaction_type.name.lower()][species_name] + del self.reaction_system._rxns[reaction_type.name.lower()][species_name] def to_dict(self) -> dict: """Dictionary representation of the MsxModel""" from wntr import __version__ return { - "wntr-version": "{}".format(__version__), + "version": "wntr-{}".format(__version__), "name": self.name, "title": self.title, "description": self.description if self.description is None or "\n" not in self.description else self.description.splitlines(), @@ -752,8 +753,8 @@ def from_dict(cls, data) -> "MsxModel": """ from wntr import __version__ - ver = data.get("wntr-version", None) - if ver != __version__: + ver = data.get("version", None) + if ver != 'wntr-{}'.format(__version__): logger.warn("Importing from a file created by a different version of wntr, compatibility not guaranteed") # warnings.warn("Importing from a file created by a different version of wntr, compatibility not guaranteed") new = cls() From 2fe12ed9603be746974f7097f9d1a18884f9f251 Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 11 Jun 2024 12:57:24 -0400 Subject: [PATCH 071/118] first draft of plot_network function with a GIS backend --- wntr/graphics/__init__.py | 2 +- wntr/graphics/network.py | 145 ++++++++++++++++++++++++++++++++++++++ 2 files changed, 146 insertions(+), 1 deletion(-) diff --git a/wntr/graphics/__init__.py b/wntr/graphics/__init__.py index b0d086674..5ea000ee9 100644 --- a/wntr/graphics/__init__.py +++ b/wntr/graphics/__init__.py @@ -1,7 +1,7 @@ """ The wntr.graphics package contains graphic functions """ -from wntr.graphics.network import plot_network, plot_interactive_network, plot_leaflet_network, network_animation +from wntr.graphics.network import plot_network, plot_network_gis, plot_interactive_network, plot_leaflet_network, network_animation from wntr.graphics.layer import plot_valve_layer from wntr.graphics.curve import plot_fragility_curve, plot_pump_curve, plot_tank_volume_curve from wntr.graphics.color import custom_colormap, random_colormap diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index 45b420b13..66b2ff82b 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -3,6 +3,7 @@ water network model. """ import logging +import math import networkx as nx import pandas as pd import matplotlib.pyplot as plt @@ -21,6 +22,15 @@ logger = logging.getLogger(__name__) +def _get_angle(line, loc=0.5): + # calculate orientation angle + p1 = line.interpolate(loc-0.01, normalized=True) + p2 = line.interpolate(loc+0.01, normalized=True) + angle = math.atan2(p2.y-p1.y, p2.x - p1.x) + return angle + +# def _create_oriented_arrow(line, length=0.01) + def _format_node_attribute(node_attribute, wn): if isinstance(node_attribute, str): @@ -42,6 +52,141 @@ def _format_link_attribute(link_attribute, wn): link_attribute = dict(link_attribute) return link_attribute + +def plot_network_gis( + wn, node_attribute=None, link_attribute=None, title=None, + node_size=20, node_range=[None,None], node_alpha=1, node_cmap=None, node_labels=False, + link_width=1, link_range=[None,None], link_alpha=1, link_cmap=None, link_labels=False, + add_colorbar=True, node_colorbar_label='Node', link_colorbar_label='Link', + directed=False, ax=None, filename=None): + + + # # Define node properties + # add_node_colorbar = add_colorbar + # if node_attribute is not None: + + # if isinstance(node_attribute, list): + # if node_cmap is None: + # node_cmap = ['red', 'red'] + # add_node_colorbar = False + + # if node_cmap is None: + # node_cmap = plt.get_cmap('Spectral_r') + # elif isinstance(node_cmap, list): + # if len(node_cmap) == 1: + # node_cmap = node_cmap*2 + # node_cmap = custom_colormap(len(node_cmap), node_cmap) + + # node_attribute = _format_node_attribute(node_attribute, wn) + # nodelist,nodecolor = zip(*node_attribute.items()) + + # else: + # nodelist = None + # nodecolor = 'k' + + # # Define link properties + # add_link_colorbar = add_colorbar + # if link_attribute is not None: + + # if isinstance(link_attribute, list): + # if link_cmap is None: + # link_cmap = ['red', 'red'] + # add_link_colorbar = False + + # if link_cmap is None: + # link_cmap = plt.get_cmap('Spectral_r') + # elif isinstance(link_cmap, list): + # if len(link_cmap) == 1: + # link_cmap = link_cmap*2 + # link_cmap = custom_colormap(len(link_cmap), link_cmap) + + # link_attribute = _format_link_attribute(link_attribute, wn) + + # # Replace link_attribute dictionary defined as + # # {link_name: attr} with {(start_node, end_node, link_name): attr} + # attr = {} + # for link_name, value in link_attribute.items(): + # link = wn.get_link(link_name) + # attr[(link.start_node_name, link.end_node_name, link_name)] = value + # link_attribute = attr + + # linklist,linkcolor = zip(*link_attribute.items()) + # else: + # linklist = None + # linkcolor = 'k' + + + if ax is None: # create a new figure + plt.figure(facecolor='w', edgecolor='k') + ax = plt.gca() + + if title is not None: + ax.set_title(title) + + # set aspect setting + aspect = None + + wn_gis = wn.to_gis() + + + # link preprocessing + pipes_kwds = {} + if link_attribute is not None: + pipes_kwds["column"] = link_attribute + pipes_kwds["cmap"] = "Spectral_r" + pipes_kwds["legend"] = True + else: + pipes_kwds["color"] = "black" + + + # node preprocessing + if node_attribute is not None: + node_color = node_attribute + else: + node_color = "black" + + # plot pipes + wn_gis.pipes.plot(ax=ax, aspect=aspect, zorder=0, linewidth=link_width, **pipes_kwds) + + # plot pumps + if len(wn_gis.pumps) >0: + wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) + wn_gis.pumps["midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) + wn_gis.pumps["angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) + # valve_midpoints.plot(ax=ax, marker=">", aspect=aspect) + for idx , row in wn_gis.pumps.iterrows(): + x,y = row["midpoint"].x, row["midpoint"].y + # dx = math.cos(math.radians(row["angle"])) + # dy = math.sin(math.radians(row["angle"])) + angle = row["angle"] + ax.scatter(x,y, color="purple", s=100, marker=(3,0, angle-90)) + # ax.arrow(x,y, dx*0.1, dy*0.1, head_width=0.05, head_length=0.1, fc="blue", ec="blue") + + # plot valves + if len(wn_gis.valves) >0: + wn_gis.valves.plot(ax=ax, color="green", aspect=aspect) + wn_gis.valves["midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) + wn_gis.valves["angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) + # valve_midpoints.plot(ax=ax, marker=">", aspect=aspect) + for idx , row in wn_gis.valves.iterrows(): + x,y = row["midpoint"].x, row["midpoint"].y + # dx = math.cos(math.radians(row["angle"])) + # dy = math.sin(math.radians(row["angle"])) + angle = row["angle"] + ax.scatter(x,y, color="green", s=100, marker=(3,0, angle-90)) + # ax.arrow(x,y, dx*0.1, dy*0.1, head_width=0.05, head_length=0.1, fc="blue", ec="blue") + + # plot junctions + wn_gis.junctions.plot(ax=ax, aspect=aspect, color=node_color, markersize=node_size, zorder=1) + + # plot tanks + wn_gis.tanks.plot(ax=ax, marker="P", aspect=aspect, zorder=1) + + # plot reservoirs + wn_gis.reservoirs.plot(ax=ax, marker="s", aspect=aspect, zorder=1) + + return ax + def plot_network(wn, node_attribute=None, link_attribute=None, title=None, node_size=20, node_range=[None,None], node_alpha=1, node_cmap=None, node_labels=False, From 366b7d7f743bbda807f14bee938206216c01309c Mon Sep 17 00:00:00 2001 From: David Hart Date: Tue, 2 Jul 2024 16:48:05 -0600 Subject: [PATCH 072/118] Reverting --- wntr/network/base.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/wntr/network/base.py b/wntr/network/base.py index 6cdc50e20..7bf9c6a4b 100644 --- a/wntr/network/base.py +++ b/wntr/network/base.py @@ -589,8 +589,8 @@ class Registry(MutableMapping): """ def __init__(self, wn): - # if not isinstance(wn, AbstractModel): - # raise ValueError('Registry must be initialized with a model') + if not isinstance(wn, AbstractModel): + raise ValueError('Registry must be initialized with a model') # self._m = model self._data = OrderedDict() self._usage = OrderedDict() From 6c6dc92214a78429303983b00a0a11e3c2f028d5 Mon Sep 17 00:00:00 2001 From: kbonney Date: Mon, 15 Jul 2024 10:26:34 -0400 Subject: [PATCH 073/118] add msx simulation test --- wntr/tests/test_epanet_msx_sim.py | 50 +++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100644 wntr/tests/test_epanet_msx_sim.py diff --git a/wntr/tests/test_epanet_msx_sim.py b/wntr/tests/test_epanet_msx_sim.py new file mode 100644 index 000000000..fdc5c9db0 --- /dev/null +++ b/wntr/tests/test_epanet_msx_sim.py @@ -0,0 +1,50 @@ +import unittest +import warnings +from os.path import abspath, dirname, join + +import numpy as np +import pandas as pd +import wntr +import wntr.msx +import wntr.epanet.msx + +testdir = dirname(abspath(str(__file__))) +test_network_dir = join(testdir, "networks_for_testing") +inp_filename = join(test_network_dir, "msx_example.inp") +msx_filename = join(test_network_dir, "msx_example.msx") + + +class TestEpanetMSXSim(unittest.TestCase): + @classmethod + def setUpClass(self): + pass + + @classmethod + def tearDownClass(self): + pass + + def test_msx_sim(self): + wn = wntr.network.WaterNetworkModel(inp_file_name=inp_filename) + wn.add_msx_model(msx_filename=msx_filename) + sim = wntr.sim.EpanetSimulator(wn) + msx_model = wntr.msx.MsxModel(msx_file_name=msx_filename) + + # run sim + res = sim.run_sim() + + # check results object keys + for species in wn.msx.species_name_list: + assert species in res.node.keys() + assert species in res.link.keys() + + + # sanity check at test point + expected = 10.032905 # Node 'C' at time 136800 for AStot + error = abs( + (res.node["AStot"].loc[136800, "C"] - expected) / expected + ) + self.assertLess(error, 0.0001) # 0.01% error + + +if __name__ == "__main__": + unittest.main(verbosity=2) From 2469acb5b9f1b546b1f3841eb98d0240f79fd4fb Mon Sep 17 00:00:00 2001 From: David Hart Date: Mon, 15 Jul 2024 09:28:59 -0600 Subject: [PATCH 074/118] Revert documentation config changes --- documentation/_templates/autosummary/base.rst | 5 ++--- documentation/_templates/autosummary/class.rst | 8 +++----- documentation/_templates/autosummary/exception.rst | 8 +++----- 3 files changed, 8 insertions(+), 13 deletions(-) diff --git a/documentation/_templates/autosummary/base.rst b/documentation/_templates/autosummary/base.rst index 52bf10b46..3ba1e3144 100644 --- a/documentation/_templates/autosummary/base.rst +++ b/documentation/_templates/autosummary/base.rst @@ -4,8 +4,7 @@ {{ objname | escape | underline}} -.. - rubric:: *module* :mod:`{{ module }}` +.. rubric:: *module* :mod:`{{ module }}` .. currentmodule:: {{ module }} @@ -13,4 +12,4 @@ property {% endif %} -.. auto{{ objtype }}:: {{ fullname | replace(module + ".", module + "::") }} +.. auto{{ objtype }}:: {{ fullname | replace(module + ".", module + "::") }} \ No newline at end of file diff --git a/documentation/_templates/autosummary/class.rst b/documentation/_templates/autosummary/class.rst index 757961130..615c3519b 100644 --- a/documentation/_templates/autosummary/class.rst +++ b/documentation/_templates/autosummary/class.rst @@ -1,12 +1,10 @@ {{ objname | escape | underline}} -.. - rubric:: *module* :mod:`{{ module }}` +.. rubric:: *module* :mod:`{{ module }}` .. currentmodule:: {{ module }} -.. autoclass:: {{ fullname }} - :exclude-members: __new__ +.. autoclass:: {{ objname }} {% block methods %} {% if methods %} @@ -36,4 +34,4 @@ {% if methods or attributes %} ~~~~~~~~~~~~~~~~~~~~~~~~~~~ - {% endif %} + {% endif %} \ No newline at end of file diff --git a/documentation/_templates/autosummary/exception.rst b/documentation/_templates/autosummary/exception.rst index e3504e253..e0d9dc9b7 100644 --- a/documentation/_templates/autosummary/exception.rst +++ b/documentation/_templates/autosummary/exception.rst @@ -1,13 +1,11 @@ {{ objname | escape | underline}} -.. - rubric:: *module* :mod:`{{ module }}` +.. rubric:: *module* :mod:`{{ module }}` .. currentmodule:: {{ module }} -.. autoexception:: {{ fullname }} +.. autoexception:: {{ objname }} :no-inherited-members: - :exclude-members: __new__ {% block methods %} {% if methods %} @@ -33,4 +31,4 @@ {%- endif -%} {%- endfor %} {% endif %} -{% endblock %} +{% endblock %} \ No newline at end of file From 891d33c5dfcfa354bdf342727469da1b577b7b4a Mon Sep 17 00:00:00 2001 From: David Hart Date: Mon, 15 Jul 2024 09:34:18 -0600 Subject: [PATCH 075/118] Revert conf.py --- documentation/conf.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/documentation/conf.py b/documentation/conf.py index 97bb83072..b921adb78 100644 --- a/documentation/conf.py +++ b/documentation/conf.py @@ -45,7 +45,7 @@ ] add_function_parentheses = True -add_module_names = True +add_module_names = False python_display_short_literal_types = True toc_object_entries = True @@ -53,7 +53,7 @@ napoleon_google_docstring = True napoleon_numpy_docstring = True -napoleon_include_init_with_doc = False +napoleon_include_init_with_doc = True napoleon_include_private_with_doc = False napoleon_include_special_with_doc = False napoleon_use_admonition_for_examples = False @@ -69,7 +69,7 @@ # viewcode_import = False autodoc_default_options = { - 'undoc-members': False, + 'undoc-members': True, 'private-members': False, 'special-members': False, 'inherited-members': True, @@ -77,13 +77,13 @@ 'member-order': 'groupwise', } -autodoc_class_signature = 'mixed' +autodoc_class_signature = 'separated' autodoc_typehints = 'description' autodoc_typehints_format = 'short' autodoc_typehints_description_target = 'documented' -autodoc_type_aliases = {'DataFrame': 'pandas.DataFrame',} +autodoc_type_aliases = {'DataFrame': 'pandas DataFrame',} -autoclass_content = 'both' +autoclass_content = 'class' numfig=True numfig_format = {'figure': 'Figure %s', 'table': 'Table %s', 'code-block': 'Listing %s'} From fe5ca2974b541bc75126ce747be928388927d593 Mon Sep 17 00:00:00 2001 From: David Hart Date: Mon, 15 Jul 2024 09:35:39 -0600 Subject: [PATCH 076/118] Finish revert erroneous commits --- documentation/_templates/autosummary/base.rst | 2 +- documentation/_templates/autosummary/class.rst | 2 +- documentation/_templates/autosummary/exception.rst | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/documentation/_templates/autosummary/base.rst b/documentation/_templates/autosummary/base.rst index 3ba1e3144..667f19687 100644 --- a/documentation/_templates/autosummary/base.rst +++ b/documentation/_templates/autosummary/base.rst @@ -12,4 +12,4 @@ property {% endif %} -.. auto{{ objtype }}:: {{ fullname | replace(module + ".", module + "::") }} \ No newline at end of file +.. auto{{ objtype }}:: {{ fullname | replace(module + ".", module + "::") }} diff --git a/documentation/_templates/autosummary/class.rst b/documentation/_templates/autosummary/class.rst index 615c3519b..9e9adf167 100644 --- a/documentation/_templates/autosummary/class.rst +++ b/documentation/_templates/autosummary/class.rst @@ -34,4 +34,4 @@ {% if methods or attributes %} ~~~~~~~~~~~~~~~~~~~~~~~~~~~ - {% endif %} \ No newline at end of file + {% endif %} diff --git a/documentation/_templates/autosummary/exception.rst b/documentation/_templates/autosummary/exception.rst index e0d9dc9b7..8d05ab977 100644 --- a/documentation/_templates/autosummary/exception.rst +++ b/documentation/_templates/autosummary/exception.rst @@ -31,4 +31,4 @@ {%- endif -%} {%- endfor %} {% endif %} -{% endblock %} \ No newline at end of file +{% endblock %} From 2ec9b81ece2dcc3550d78cf7d35ae4484016bf70 Mon Sep 17 00:00:00 2001 From: David Hart Date: Sat, 20 Jul 2024 12:45:09 -0600 Subject: [PATCH 077/118] CrowdStrike mess backup --- examples/demos/multisource-cl-decay.ipynb | 90 +++++++++++------------ 1 file changed, 45 insertions(+), 45 deletions(-) diff --git a/examples/demos/multisource-cl-decay.ipynb b/examples/demos/multisource-cl-decay.ipynb index da1115d55..b4fbb930b 100644 --- a/examples/demos/multisource-cl-decay.ipynb +++ b/examples/demos/multisource-cl-decay.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -50,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -79,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -98,7 +98,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -117,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -144,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -178,7 +178,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -206,7 +206,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -280,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -296,7 +296,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -305,7 +305,7 @@ "Text(0, 0.5, 'Concentraion [mg/L]')" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, @@ -341,7 +341,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -360,14 +360,14 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "; WNTR-reactions MSX file generated 2024-05-20 07:00:10.969400\n", + "; WNTR-reactions MSX file generated 2024-05-20 16:04:15.375087\n", "\n", "[TITLE]\n", " Multisource Chlorine Decay\n", @@ -426,7 +426,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -478,7 +478,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -499,7 +499,7 @@ " 'temp']" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -521,7 +521,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -531,7 +531,7 @@ " 'CL2': InitialQuality(global_value=0.0, node_values=<2 entries>, link_values=<0 entries>)}" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -542,7 +542,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -552,7 +552,7 @@ " 'CL2': InitialQuality(global_value=0.0, node_values=<0 entries>, link_values=<0 entries>)}" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -570,40 +570,40 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "AS3 \t Species(name='AS3', species_type='BULK', units='UG', atol=None, rtol=None, note='Dissolved arsenite')\n", - "AS5 \t Species(name='AS5', species_type='BULK', units='UG', atol=None, rtol=None, note='Dissolved arsenate')\n", - "AStot \t Species(name='AStot', species_type='BULK', units='UG', atol=None, rtol=None, note='Total dissolved arsenic')\n", - "AS5s \t Species(name='AS5s', species_type='WALL', units='UG', atol=None, rtol=None, note='Adsorbed arsenate')\n", - "NH2CL \t Species(name='NH2CL', species_type='BULK', units='MG', atol=None, rtol=None, note='Monochloramine')\n", - "Ka \t Constant(name='Ka', value=10.0, units='1 / (MG * HR)', note='Arsenite oxidation rate coefficient')\n", - "Kb \t Constant(name='Kb', value=0.1, units='1 / HR', note='Monochloramine decay rate coefficient')\n", - "K1 \t Constant(name='K1', value=5.0, units='M^3 / (UG * HR)', note='Arsenate adsorption coefficient')\n", - "K2 \t Constant(name='K2', value=1.0, units='1 / HR', note='Arsenate desorption coefficient')\n", - "Smax \t Constant(name='Smax', value=50.0, units='UG / M^2', note='Arsenate adsorption limit')\n", - "Ks \t Term(name='Ks', expression='K1/K2', note='Equil. adsorption coeff.')\n", - "AS3 \t Reaction(species_name='AS3', expression_type='RATE', expression='-Ka*AS3*NH2CL', note='Arsenite oxidation')\n", - "AS5 \t Reaction(species_name='AS5', expression_type='RATE', expression='Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)', note='Arsenate production less adsorption')\n", - "NH2CL \t Reaction(species_name='NH2CL', expression_type='RATE', expression='-Kb*NH2CL', note='Monochloramine decay')\n", - "AS5s \t Reaction(species_name='AS5s', expression_type='EQUIL', expression='Ks*Smax*AS5/(1+Ks*AS5) - AS5s', note='Arsenate adsorption')\n", - "AStot \t Reaction(species_name='AStot', expression_type='FORMULA', expression='AS3 + AS5', note='Total arsenic')\n", - "AS3 \t Reaction(species_name='AS3', expression_type='RATE', expression='-Ka*AS3*NH2CL', note='Arsenite oxidation')\n", - "AS5 \t Reaction(species_name='AS5', expression_type='RATE', expression='Ka*AS3*NH2CL', note='Arsenate production')\n", - "NH2CL \t Reaction(species_name='NH2CL', expression_type='RATE', expression='-Kb*NH2CL', note='Monochloramine decay')\n", - "AStot \t Reaction(species_name='AStot', expression_type='FORMULA', expression='AS3 + AS5', note='Total arsenic')\n" + "Species(name='AS3', species_type='BULK', units='UG', atol=None, rtol=None, note='Dissolved arsenite')\n", + "Species(name='AS5', species_type='BULK', units='UG', atol=None, rtol=None, note='Dissolved arsenate')\n", + "Species(name='AStot', species_type='BULK', units='UG', atol=None, rtol=None, note='Total dissolved arsenic')\n", + "Species(name='AS5s', species_type='WALL', units='UG', atol=None, rtol=None, note='Adsorbed arsenate')\n", + "Species(name='NH2CL', species_type='BULK', units='MG', atol=None, rtol=None, note='Monochloramine')\n", + "Constant(name='Ka', value=10.0, units='1 / (MG * HR)', note='Arsenite oxidation rate coefficient')\n", + "Constant(name='Kb', value=0.1, units='1 / HR', note='Monochloramine decay rate coefficient')\n", + "Constant(name='K1', value=5.0, units='M^3 / (UG * HR)', note='Arsenate adsorption coefficient')\n", + "Constant(name='K2', value=1.0, units='1 / HR', note='Arsenate desorption coefficient')\n", + "Constant(name='Smax', value=50.0, units='UG / M^2', note='Arsenate adsorption limit')\n", + "Term(name='Ks', expression='K1/K2', note='Equil. adsorption coeff.')\n", + "Reaction(species_name='AS3', expression_type='RATE', expression='-Ka*AS3*NH2CL', note='Arsenite oxidation')\n", + "Reaction(species_name='AS5', expression_type='RATE', expression='Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)', note='Arsenate production less adsorption')\n", + "Reaction(species_name='NH2CL', expression_type='RATE', expression='-Kb*NH2CL', note='Monochloramine decay')\n", + "Reaction(species_name='AS5s', expression_type='EQUIL', expression='Ks*Smax*AS5/(1+Ks*AS5) - AS5s', note='Arsenate adsorption')\n", + "Reaction(species_name='AStot', expression_type='FORMULA', expression='AS3 + AS5', note='Total arsenic')\n", + "Reaction(species_name='AS3', expression_type='RATE', expression='-Ka*AS3*NH2CL', note='Arsenite oxidation')\n", + "Reaction(species_name='AS5', expression_type='RATE', expression='Ka*AS3*NH2CL', note='Arsenate production')\n", + "Reaction(species_name='NH2CL', expression_type='RATE', expression='-Kb*NH2CL', note='Monochloramine decay')\n", + "Reaction(species_name='AStot', expression_type='FORMULA', expression='AS3 + AS5', note='Total arsenic')\n" ] } ], "source": [ "arsenic = my_library.get_model('arsenic_chloramine')\n", - "for key,value in arsenic.reaction_system.variables(): print(key, '\\t', repr(value))\n", - "for key,value in arsenic.reaction_system.reactions(): print(key, '\\t', repr(value))" + "for key,value in arsenic.reaction_system.variables(): print(repr(value))\n", + "for key,value in arsenic.reaction_system.reactions(): print(repr(value))" ] } ], From 48ac43e2c75b201dfdeddda38b3117b194beb96c Mon Sep 17 00:00:00 2001 From: kbonney Date: Mon, 30 Sep 2024 15:57:42 -0400 Subject: [PATCH 078/118] incorporating the rest of the keywords from plot_network in plot_network_gis --- wntr/graphics/network.py | 213 +++++++++++++++++++++++++++------------ 1 file changed, 147 insertions(+), 66 deletions(-) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index 66b2ff82b..b29794bed 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -55,67 +55,96 @@ def _format_link_attribute(link_attribute, wn): def plot_network_gis( wn, node_attribute=None, link_attribute=None, title=None, - node_size=20, node_range=[None,None], node_alpha=1, node_cmap=None, node_labels=False, - link_width=1, link_range=[None,None], link_alpha=1, link_cmap=None, link_labels=False, + node_size=20, node_range=None, node_alpha=1, node_cmap=None, node_labels=False, + link_width=1, link_range=None, link_alpha=1, link_cmap=None, link_labels=False, add_colorbar=True, node_colorbar_label='Node', link_colorbar_label='Link', directed=False, ax=None, filename=None): + """ + Plot network graphic + + Parameters + ---------- + wn : wntr WaterNetworkModel + A WaterNetworkModel object + + node_attribute : None, str, list, pd.Series, or dict, optional + + - If node_attribute is a string, then a node attribute dictionary is + created using node_attribute = wn.query_node_attribute(str) + - If node_attribute is a list, then each node in the list is given a + value of 1. + - If node_attribute is a pd.Series, then it should be in the format + {nodeid: x} where nodeid is a string and x is a float. + - If node_attribute is a dict, then it should be in the format + {nodeid: x} where nodeid is a string and x is a float + link_attribute : None, str, list, pd.Series, or dict, optional + + - If link_attribute is a string, then a link attribute dictionary is + created using edge_attribute = wn.query_link_attribute(str) + - If link_attribute is a list, then each link in the list is given a + value of 1. + - If link_attribute is a pd.Series, then it should be in the format + {linkid: x} where linkid is a string and x is a float. + - If link_attribute is a dict, then it should be in the format + {linkid: x} where linkid is a string and x is a float. + + title: str, optional + Plot title + + node_size: int, optional + Node size + + node_range: list, optional + Node color range ([None,None] indicates autoscale) + + node_alpha: int, optional + Node transparency + + node_cmap: matplotlib.pyplot.cm colormap or list of named colors, optional + Node colormap + + node_labels: bool, optional + If True, the graph will include each node labelled with its name. + + link_width: int, optional + Link width + + link_range : list, optional + Link color range ([None,None] indicates autoscale) + + link_alpha : int, optional + Link transparency - # # Define node properties - # add_node_colorbar = add_colorbar - # if node_attribute is not None: + link_cmap: matplotlib.pyplot.cm colormap or list of named colors, optional + Link colormap - # if isinstance(node_attribute, list): - # if node_cmap is None: - # node_cmap = ['red', 'red'] - # add_node_colorbar = False + link_labels: bool, optional + If True, the graph will include each link labelled with its name. - # if node_cmap is None: - # node_cmap = plt.get_cmap('Spectral_r') - # elif isinstance(node_cmap, list): - # if len(node_cmap) == 1: - # node_cmap = node_cmap*2 - # node_cmap = custom_colormap(len(node_cmap), node_cmap) - - # node_attribute = _format_node_attribute(node_attribute, wn) - # nodelist,nodecolor = zip(*node_attribute.items()) - - # else: - # nodelist = None - # nodecolor = 'k' - - # # Define link properties - # add_link_colorbar = add_colorbar - # if link_attribute is not None: - - # if isinstance(link_attribute, list): - # if link_cmap is None: - # link_cmap = ['red', 'red'] - # add_link_colorbar = False + add_colorbar: bool, optional + Add colorbar - # if link_cmap is None: - # link_cmap = plt.get_cmap('Spectral_r') - # elif isinstance(link_cmap, list): - # if len(link_cmap) == 1: - # link_cmap = link_cmap*2 - # link_cmap = custom_colormap(len(link_cmap), link_cmap) - - # link_attribute = _format_link_attribute(link_attribute, wn) + node_colorbar_label: str, optional + Node colorbar label - # # Replace link_attribute dictionary defined as - # # {link_name: attr} with {(start_node, end_node, link_name): attr} - # attr = {} - # for link_name, value in link_attribute.items(): - # link = wn.get_link(link_name) - # attr[(link.start_node_name, link.end_node_name, link_name)] = value - # link_attribute = attr + link_colorbar_label: str, optional + Link colorbar label - # linklist,linkcolor = zip(*link_attribute.items()) - # else: - # linklist = None - # linkcolor = 'k' + directed: bool, optional + If True, plot the directed graph + ax: matplotlib axes object, optional + Axes for plotting (None indicates that a new figure with a single + axes will be used) + filename : str, optional + Filename used to save the figure + + Returns + ------- + ax : matplotlib axes object + """ if ax is None: # create a new figure plt.figure(facecolor='w', edgecolor='k') ax = plt.gca() @@ -125,28 +154,74 @@ def plot_network_gis( # set aspect setting aspect = None - + wn_gis = wn.to_gis() + # colormap + if link_cmap is None: + link_cmap = plt.get_cmap('Spectral_r') + if node_cmap is None: + node_cmap = plt.get_cmap('Spectral_r') + + # ranges + if link_range is None: + link_range = (None, None) + if node_range is None: + node_range = (None, None) + - # link preprocessing + # prepare pipe plotting keywords pipes_kwds = {} if link_attribute is not None: pipes_kwds["column"] = link_attribute - pipes_kwds["cmap"] = "Spectral_r" - pipes_kwds["legend"] = True + pipes_kwds["cmap"] = link_cmap + if add_colorbar: + pipes_kwds["legend"] = True else: pipes_kwds["color"] = "black" + pipes_kwds["alpha"] = link_alpha + + pipes_cbar_kwds = {} + pipes_cbar_kwds["shrink"] = 0.5 + pipes_cbar_kwds["pad"] = 0.0 + pipes_cbar_kwds["label"] = link_colorbar_label - - # node preprocessing + # prepare junctin plotting keywords + junction_kwds = {} if node_attribute is not None: - node_color = node_attribute + junction_kwds["column"] = node_attribute + junction_kwds["cmap"] = node_cmap + if add_colorbar: + junction_kwds["legend"] = True else: - node_color = "black" + junction_kwds["color"] = "black" + junction_kwds["alpha"] = node_alpha + + junction_cbar_kwds = {} + junction_cbar_kwds["shrink"] = 0.5 + junction_cbar_kwds["pad"] = 0.0 + junction_cbar_kwds["label"] = node_colorbar_label + + # TODO handle node/link labels + + # colorbar kwds + + + # plot junctions + wn_gis.junctions.plot( + ax=ax, aspect=aspect, markersize=node_size, zorder=1, + vmax=node_range[0], vmin=node_range[1],legend_kwds=junction_cbar_kwds, **junction_kwds) + + # plot tanks + wn_gis.tanks.plot(ax=ax, marker="P", aspect=aspect, zorder=1) + + # plot reservoirs + wn_gis.reservoirs.plot(ax=ax, marker="s", aspect=aspect, zorder=1) # plot pipes - wn_gis.pipes.plot(ax=ax, aspect=aspect, zorder=0, linewidth=link_width, **pipes_kwds) + wn_gis.pipes.plot( + ax=ax, aspect=aspect, zorder=0, linewidth=link_width, + vmax=link_range[0], vmin=link_range[1], legend_kwds=pipes_cbar_kwds, **pipes_kwds) # plot pumps if len(wn_gis.pumps) >0: @@ -175,15 +250,21 @@ def plot_network_gis( angle = row["angle"] ax.scatter(x,y, color="green", s=100, marker=(3,0, angle-90)) # ax.arrow(x,y, dx*0.1, dy*0.1, head_width=0.05, head_length=0.1, fc="blue", ec="blue") - - # plot junctions - wn_gis.junctions.plot(ax=ax, aspect=aspect, color=node_color, markersize=node_size, zorder=1) - # plot tanks - wn_gis.tanks.plot(ax=ax, marker="P", aspect=aspect, zorder=1) + # annotation + if node_labels: + for x, y, label in zip(wn_gis.junctions.geometry.x, wn_gis.junctions.geometry.y, wn_gis.junctions.index): + ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") + if link_labels: + # compute midpoints + midpoints = wn_gis.pipes.geometry.apply(lambda x: x.interpolate(0.5, normalized=True)) + for x, y, label in zip(midpoints.geometry.x, midpoints.geometry.y, wn_gis.pipes.index): + ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") - # plot reservoirs - wn_gis.reservoirs.plot(ax=ax, marker="s", aspect=aspect, zorder=1) + ax.axis('off') + + if filename: + plt.savefig(filename) return ax From f307ae9a07f9bda285bfad1b2cc969fe7a488c4b Mon Sep 17 00:00:00 2001 From: David Hart Date: Mon, 30 Sep 2024 22:45:42 -0600 Subject: [PATCH 079/118] This addresses comments made regarding the msx model files. Documentation is not pulled in this commit --- wntr/msx/base.py | 36 ++++- wntr/msx/elements.py | 347 +++++++++++++++++++++---------------------- wntr/msx/io.py | 6 +- wntr/msx/model.py | 93 ++++++------ wntr/msx/options.py | 118 +++++++-------- 5 files changed, 300 insertions(+), 300 deletions(-) diff --git a/wntr/msx/base.py b/wntr/msx/base.py index 74d30a6e8..7fbf0065f 100644 --- a/wntr/msx/base.py +++ b/wntr/msx/base.py @@ -317,7 +317,7 @@ def __repr__(self): class ReactionBase(ABC): - """Water quality reaction class + """Water quality reaction class. This is an abstract class for water quality reactions with partial concrete attribute and method definitions. All parameters and methods documented @@ -355,9 +355,13 @@ class ReactionBase(ABC): """ def __init__(self, species_name: str, *, note: NoteType = None) -> None: - """Water quality reaction definition + """Reaction ABC init method. - This abstract class must be subclassed. + Make sure you call this method from your concrete subclass ``__init__`` method: + + .. code:: + + super().__init__(species_name, note=note) Parameters ---------- @@ -438,7 +442,13 @@ class VariableBase(ABC): """ def __init__(self, name: str, *, note: NoteType = None) -> None: - """Multi-species variable constructor arguments + """Variable ABC init method. + + Make sure you call this method from your concrete subclass ``__init__`` method: + + .. code:: + + super().__init__(name, note=note) Parameters ---------- @@ -522,7 +532,15 @@ class ReactionSystemBase(ABC): """ def __init__(self) -> None: - """Constructor for the reaction system.""" + """Constructor for the reaction system. + + Make sure you call this method from your concrete subclass ``__init__`` method: + + .. code:: + + super().__init__() + + """ self._vars: DisjointMapping = DisjointMapping() """Variables registry, which is mapped to dictionary functions on the reaction system object""" @@ -639,7 +657,13 @@ class QualityModelBase(ABC): """ def __init__(self, filename=None): - """Abstract water quality model + """QualityModel ABC init method. + + Make sure you call this method from your concrete subclass ``__init__`` method: + + .. code:: + + super().__init__(filename=filename) Parameters ---------- diff --git a/wntr/msx/elements.py b/wntr/msx/elements.py index 0c923df9d..a031211ed 100644 --- a/wntr/msx/elements.py +++ b/wntr/msx/elements.py @@ -28,7 +28,46 @@ class Species(VariableBase): - """Biological or chemical species + """Biological or chemical species. + + Parameters + ---------- + name + Species name + species_type + Species type + units + Units of mass for this species, see :attr:`units` property. + atol : float | None + Absolute tolerance when solving this species' equations, by default + None + rtol : float | None + Relative tolerance when solving this species' equations, by default + None + note + Supplementary information regarding this variable, by default None + (see :class:`~wntr.epanet.util.NoteType`) + diffusivity + Diffusivity of the species in water, by default None + _vars + Reaction system this species is a part of, by default None + _vals + Initial quality values for this species, by default None + + Raises + ------ + KeyExistsError + If the name has already been used + TypeError + If `atol` and `rtol` are not the same type + ValueError + If `atol` or `rtol` ≤ 0 + + Notes + ----- + EPANET-MSX requires that `atol` and `rtol` either both be omitted, or + both be provided. In order to enforce this, the arguments passed for + `atol` and `rtol` must both be None or both be positive values. """ def __init__( @@ -44,47 +83,6 @@ def __init__( _vars: ReactionSystemBase = None, _vals: VariableValuesBase = None, ) -> None: - """Biological or chemical species - - Parameters - ---------- - name - Species name - species_type - Species type - units - Units of mass for this species, see :attr:`units` property. - atol : float | None - Absolute tolerance when solving this species' equations, by default - None - rtol : float | None - Relative tolerance when solving this species' equations, by default - None - note - Supplementary information regarding this variable, by default None - (see :class:`~wntr.epanet.util.NoteType`) - diffusivity - Diffusivity of the species in water, by default None - _vars - Reaction system this species is a part of, by default None - _vals - Initial quality values for this species, by default None - - Raises - ------ - KeyExistsError - If the name has already been used - TypeError - If `atol` and `rtol` are not the same type - ValueError - If `atol` or `rtol` ≤ 0 - - Notes - ----- - EPANET-MSX requires that `atol` and `rtol` either both be omitted, or - both be provided. In order to enforce this, the arguments passed for - `atol` and `rtol` must both be None or both be positive values. - """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) @@ -256,24 +254,23 @@ def to_dict(self) -> Dict[str, Any]: class Constant(VariableBase): - """Constant coefficient for use in expressions""" + """Constant coefficient for use in expressions. + + Parameters + ---------- + name + Name of the variable. + value + Constant value. + units + Units for the variable, by default None + note + Supplementary information regarding this variable, by default None + _vars + Reaction system this constant is a part of, by default None + """ def __init__(self, name: str, value: float, *, units: str = None, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None) -> None: - """Constant coefficient for use in expressions - - Parameters - ---------- - name - Name of the variable. - value - Constant value. - units - Units for the variable, by default None - note - Supplementary information regarding this variable, by default None - _vars - Reaction system this constant is a part of, by default None - """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) @@ -306,28 +303,26 @@ def to_dict(self) -> Dict[str, Any]: class Parameter(VariableBase): - """Parameterized variable for use in expressions""" - + """Parameterized variable for use in expressions. + + Parameters + ---------- + name + Name of this parameter. + global_value + Global value for the parameter if otherwise unspecified. + units + Units for this parameter, by default None + note + Supplementary information regarding this variable, by default None + _vars + Reaction system this parameter is a part of, by default None + _vals + Network-specific values for this parameter, by default None + """ def __init__( self, name: str, global_value: float, *, units: str = None, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None, _vals: VariableValuesBase = None ) -> None: - """Parameterized variable for use in expressions - - Parameters - ---------- - name - Name of this parameter. - global_value - Global value for the parameter if otherwise unspecified. - units - Units for this parameter, by default None - note - Supplementary information regarding this variable, by default None - _vars - Reaction system this parameter is a part of, by default None - _vals - Network-specific values for this parameter, by default None - """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) @@ -396,24 +391,22 @@ def to_dict(self) -> Dict[str, Any]: class Term(VariableBase): - """Named expression (term) that can be used in expressions""" - + """Named expression (term) that can be used in expressions + + Parameters + ---------- + name + Variable name. + expression + Mathematical expression to be aliased + note + Supplementary information regarding this variable, by default None + _vars + Reaction system this species is a part of, by default None + """ def __init__(self, name: str, expression: str, *, note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None) -> None: - """Named expression (term) that can be used in expressions - - Parameters - ---------- - name - Variable name. - expression - Mathematical expression to be aliased - note - Supplementary information regarding this variable, by default None - _vars - Reaction system this species is a part of, by default None - """ super().__init__(name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) @@ -439,23 +432,22 @@ def to_dict(self) -> Dict[str, Any]: class ReservedName(VariableBase): - """Reserved name that should not be used""" + """Reserved name that should not be used + + Parameters + ---------- + name + Reserved name. + note + Supplementary information regarding this variable, by default None + + Raises + ------ + KeyExistsError + If the name has already been registered + """ def __init__(self, name: str, *, note: Union[str, dict, ENcomment] = None) -> None: - """Reserved name that should not be used - - Parameters - ---------- - name - Reserved name. - note - Supplementary information regarding this variable, by default None - - Raises - ------ - KeyExistsError - If the name has already been registered - """ self.name: str = name self.note: Union[str, dict, ENcomment] = note @@ -470,43 +462,41 @@ def var_type(self) -> VariableType: class HydraulicVariable(ReservedName): - """Reserved name for hydraulic variables""" + """Reserved name for hydraulic variables + + The user should not need to create any variables using this class, they + are created automatically by the MsxModel object during initialization. + + Parameters + ---------- + name + Name of the variable (predefined by MSX) + units + Units for hydraulic variable, by default None + note + Supplementary information regarding this variable, by default None + """ def __init__(self, name: str, units: str = None, *, note: Union[str, dict, ENcomment] = None) -> None: - """Reserved name for hydraulic variables - - The user should not need to create any variables using this class, they - are created automatically by the MsxModel object during initialization. - - Parameters - ---------- - name - Name of the variable (predefined by MSX) - units - Units for hydraulic variable, by default None - note - Supplementary information regarding this variable, by default None - """ super().__init__(name, note=note) self.units: str = units """Hydraulic variable's units""" class MathFunction(ReservedName): - """Reserved name for math functions""" + """Reserved name for math functions + + Parameters + ---------- + name + Function name + func + Callable function + note + Supplementary information regarding this variable, by default None + """ def __init__(self, name: str, func: callable, *, note: Union[str, dict, ENcomment] = None) -> None: - """Reserved name for math functions - - Parameters - ---------- - name - Function name - func - Callable function - note - Supplementary information regarding this variable, by default None - """ super().__init__(name, note=note) self.func: callable = func """A callable function or SymPy function""" @@ -517,7 +507,25 @@ def __call__(self, *args: Any, **kwds: Any) -> Any: class Reaction(ReactionBase): - """Water quality reaction dynamics definition for a specific species""" + """Water quality reaction dynamics definition for a specific species. + + Parameters + ---------- + species_name + Species (object or name) this reaction is applicable to. + reaction_type + Reaction type (location), from {PIPE, TANK} + expression_type + Expression type (left-hand-side) of the equation, from + {RATE, EQUIL, FORMULA} + expression + Mathematical expression for the right-hand-side of the reaction + equation. + note + Supplementary information regarding this variable, by default None + _vars + Reaction system this species is a part of, by default None + """ def __init__( self, @@ -529,25 +537,6 @@ def __init__( note: Union[str, dict, ENcomment] = None, _vars: ReactionSystemBase = None, ) -> None: - """Water quality reaction dynamics definition for a specific species - - Parameters - ---------- - species_name - Species (object or name) this reaction is applicable to. - reaction_type - Reaction type (location), from {PIPE, TANK} - expression_type - Expression type (left-hand-side) of the equation, from - {RATE, EQUIL, FORMULA} - expression - Mathematical expression for the right-hand-side of the reaction - equation. - note - Supplementary information regarding this variable, by default None - _vars - Reaction system this species is a part of, by default None - """ super().__init__(species_name=species_name, note=note) if _vars is not None and not isinstance(_vars, ReactionSystemBase): raise TypeError("Invalid type for _vars, {}".format(type(_vars))) @@ -591,22 +580,21 @@ def to_dict(self) -> dict: class InitialQuality(VariableValuesBase): - """Initial quality values for a species in a specific network""" + """Initial quality values for a species in a specific network. + + Parameters + ---------- + global_value + Global initial quality value, by default 0.0 + node_values + Any different initial quality values for specific nodes, + by default None + link_values + Any different initial quality values for specific links, + by default None + """ def __init__(self, global_value: float = 0.0, node_values: dict = None, link_values: dict = None): - """Initial quality values for a species in a specific network - - Parameters - ---------- - global_value - Global initial quality value, by default 0.0 - node_values - Any different initial quality values for specific nodes, - by default None - link_values - Any different initial quality values for specific links, - by default None - """ self.global_value = global_value """Global initial quality values for this species.""" self._node_values = node_values if node_values is not None else dict() @@ -641,20 +629,19 @@ def to_dict(self) -> Dict[str, Dict[str, float]]: class ParameterValues(VariableValuesBase): - """Pipe and tank specific values of a parameter for a specific network""" + """Pipe and tank specific values of a parameter for a specific network. + + Parameters + ---------- + pipe_values + Any different values for this parameter for specific pipes, + by default None + tank_values + Any different values for this parameter for specific tanks, + by default None + """ def __init__(self, *, pipe_values: dict = None, tank_values: dict = None) -> None: - """Pipe and tank specific values of a parameter for a specific network - - Parameters - ---------- - pipe_values - Any different values for this parameter for specific pipes, - by default None - tank_values - Any different values for this parameter for specific tanks, - by default None - """ self._pipe_values = pipe_values if pipe_values is not None else dict() self._tank_values = tank_values if tank_values is not None else dict() diff --git a/wntr/msx/io.py b/wntr/msx/io.py index 900f21e92..e8d43b45d 100644 --- a/wntr/msx/io.py +++ b/wntr/msx/io.py @@ -42,7 +42,7 @@ def from_dict(d: dict): from wntr.msx.model import MsxModel return MsxModel.from_dict(d) -def write_json(msx, path_or_buf, as_library=False, **kw_json): +def write_json(msx, path_or_buf, as_library=False, indent=4, **kw_json): """ Write the MSX model to a JSON file @@ -67,9 +67,9 @@ def write_json(msx, path_or_buf, as_library=False, **kw_json): d.get('options', {}).get('report',{}).setdefault('links', None) if isinstance(path_or_buf, str): with open(path_or_buf, "w") as fout: - json.dump(d, fout, **kw_json) + json.dump(d, fout, indent=indent **kw_json) else: - json.dump(d, path_or_buf, **kw_json) + json.dump(d, path_or_buf, indent=indent, **kw_json) def read_json(path_or_buf, **kw_json): """ diff --git a/wntr/msx/model.py b/wntr/msx/model.py index bf3b9b3ed..644684fd1 100644 --- a/wntr/msx/model.py +++ b/wntr/msx/model.py @@ -42,7 +42,6 @@ class MsxReactionSystem(ReactionSystemBase): """ def __init__(self) -> None: - """Create a new reaction system.""" super().__init__() self._vars.add_disjoint_group("reserved") self._species = self._vars.add_disjoint_group("species") @@ -130,7 +129,6 @@ def add_reaction(self, reaction: Reaction) -> None: self._rxns[reaction.reaction_type.name.lower()][reaction.species_name] = reaction def variables(self) -> Generator[tuple, None, None]: - # FIXME: rename without "all_" for this """Generator looping through all variables""" for k, v in self._vars.items(): if v.var_type.name.lower() not in ['reserved']: @@ -155,47 +153,47 @@ def to_dict(self) -> dict: class MsxNetworkData(NetworkDataBase): + """Network-specific values associated with a multi-species water + quality model + + Data is copied from dictionaries passed in, so once created, the + dictionaries passed are not connected to this object. + + Parameters + ---------- + patterns : dict, optional + Patterns to use for sources + sources : dict, optional + Sources defined for the model + initial_quality : dict, optional + Initial values for different species at different nodes, links, and + the global value + parameter_values : dict, optional + Parameter values for different pipes and tanks + + Notes + ----- + ``patterns`` + Dictionary keyed by pattern name (str) with values being the + multipliers (list of float) + ``sources`` + Dictionary keyed by species name (str) with values being + dictionaries keyed by junction name (str) with values being the + dictionary of settings for the source + ``initial_quality`` + Dictionary keyed by species name (str) with values being either an + :class:`~wntr.msx.elements.InitialQuality` object or the + appropriate dictionary representation thereof. + ``parameter_values`` + Dictionary keyed by parameter name (str) with values being either + a :class:`~wntr.msx.elements.ParameterValues` object or the + appropriate dictionary representation thereof. + """ def __init__(self, patterns: Dict[str, List[float]] = None, sources: Dict[str, Dict[str, dict]] = None, initial_quality: Dict[str, Union[dict, InitialQuality]] = None, parameter_values: Dict[str, Union[dict, ParameterValues]] = None) -> None: - """Network-specific values associated with a multi-species water - quality model - - Data is copied from dictionaries passed in, so once created, the - dictionaries passed are not connected to this object. - - Parameters - ---------- - patterns : dict, optional - Patterns to use for sources - sources : dict, optional - Sources defined for the model - initial_quality : dict, optional - Initial values for different species at different nodes, links, and - the global value - parameter_values : dict, optional - Parameter values for different pipes and tanks - - Notes - ----- - ``patterns`` - Dictionary keyed by pattern name (str) with values being the - multipliers (list of float) - ``sources`` - Dictionary keyed by species name (str) with values being - dictionaries keyed by junction name (str) with values being the - dictionary of settings for the source - ``initial_quality`` - Dictionary keyed by species name (str) with values being either an - :class:`~wntr.msx.elements.InitialQuality` object or the - appropriate dictionary representation thereof. - ``parameter_values`` - Dictionary keyed by parameter name (str) with values being either - a :class:`~wntr.msx.elements.ParameterValues` object or the - appropriate dictionary representation thereof. - """ if sources is None: sources = dict() if initial_quality is None: @@ -335,16 +333,15 @@ def to_dict(self) -> dict: class MsxModel(QualityModelBase): - """Multi-species water quality model""" + """Multi-species water quality model - def __init__(self, msx_file_name=None) -> None: - """Multi-species water quality model + Arguments + --------- + msx_file_name : str, optional + MSX file to to load into the MsxModel object, by default None + """ - Arguments - --------- - msx_file_name : str, optional - MSX file to to load into the MsxModel object, by default None - """ + def __init__(self, msx_file_name=None) -> None: super().__init__(msx_file_name) self._references: List[Union[str, Dict[str, str]]] = list() self._options: MsxSolverOptions = MsxSolverOptions() @@ -509,7 +506,6 @@ def remove_species(self, variable_or_name): if name not in self.reaction_system.species: raise KeyError('The specified variable is not a registered species in the reaction system') self.network_data.remove_species(name) - # FIXME: validate additional items self.reaction_system.__delitem__(name) def add_constant(self, name: str, value: float, units: str = None, note: NoteType = None) -> Constant: @@ -558,7 +554,6 @@ def remove_constant(self, variable_or_name): name = str(variable_or_name) if name not in self.reaction_system.constants: raise KeyError('The specified variable is not a registered constant in the reaction system') - # FIXME: validate deletion self.reaction_system.__delitem__(name) def add_parameter(self, name: str, global_value: float, units: str = None, note: NoteType = None) -> Parameter: @@ -611,7 +606,6 @@ def remove_parameter(self, variable_or_name): if name not in self.reaction_system.parameters: raise KeyError('The specified variable is not a registered parameter in the reaction system') self.network_data.remove_parameter(name) - # FIXME: validate additional items self.reaction_system.__delitem__(name) def add_term(self, name: str, expression: str, note: NoteType = None) -> Term: @@ -657,7 +651,6 @@ def remove_term(self, variable_or_name): If `variable_or_name` is not a term in the model """ name = str(variable_or_name) - # FIXME: validate deletion if name not in self.reaction_system.terms: raise KeyError('The specified variable is not a registered term in the reaction system') self.reaction_system.__delitem__(name) diff --git a/wntr/msx/options.py b/wntr/msx/options.py index 70bed47f2..cb9a01510 100644 --- a/wntr/msx/options.py +++ b/wntr/msx/options.py @@ -15,6 +15,25 @@ class MsxReportOptions(_OptionsBase): """ Report options + + Parameters + ---------- + report_filename : str + Filename for the EPANET-MSX report file, by default this will be + the prefix plus ".rpt". + species : dict[str, bool] + Output species concentrations + species_precision : dict[str, float] + Output species concentrations with the specified precision + nodes : None, "ALL", or list + Output node information. If a list of node names is provided, + EPANET-MSX only provides report information for those nodes. + links : None, "ALL", or list + Output link information. If a list of link names is provided, + EPANET-MSX only provides report information for those links. + pagesize : str + Page size for EPANET-MSX report output + """ def __init__( @@ -26,28 +45,6 @@ def __init__( nodes: Union[Literal["ALL"], List[str]] = None, links: Union[Literal["ALL"], List[str]] = None, ): - """ - Report options - - Parameters - ---------- - report_filename : str - Filename for the EPANET-MSX report file, by default this will be - the prefix plus ".rpt". - species : dict[str, bool] - Output species concentrations - species_precision : dict[str, float] - Output species concentrations with the specified precision - nodes : None, "ALL", or list - Output node information. If a list of node names is provided, - EPANET-MSX only provides report information for those nodes. - links : None, "ALL", or list - Output link information. If a list of link names is provided, - EPANET-MSX only provides report information for those links. - pagesize : str - Page size for EPANET-MSX report output - - """ self.pagesize = pagesize """Pagesize for the report""" self.report_filename = report_filename @@ -68,7 +65,44 @@ def __setattr__(self, name, value): class MsxSolverOptions(_OptionsBase): - """Solver options""" + """ + Solver options + + Parameters + ---------- + timestep : int >= 1 + Water quality timestep (seconds), by default 60 (one minute). + area_units : str, optional + Units of area to use in surface concentration forms, by default + ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. + rate_units : str, optional + Time units to use in all rate reactions, by default ``MIN``. Valid + values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. + solver : str, optional + Solver to use, by default ``RK5``. Options are ``RK5`` (5th order + Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or + ``EUL`` (Euler method). + coupling : str, optional + Use coupling method for solution, by default ``NONE``. Valid + options are ``FULL`` or ``NONE``. + atol : float, optional + Absolute concentration tolerance, by default 0.01 (regardless of + species concentration units). + rtol : float, optional + Relative concentration tolerance, by default 0.001 (±0.1%). + compiler : str, optional + Whether to use a compiler, by default ``NONE``. Valid options are + ``VC``, ``GC``, or ``NONE`` + segments : int, optional + Maximum number of segments per pipe (MSX 2.0 or newer only), by + default 5000. + peclet : int, optional + Peclet threshold for applying dispersion (MSX 2.0 or newer only), + by default 1000. + report : MsxReportOptions or dict + Options on how to report out results. + + """ def __init__( self, @@ -85,44 +119,6 @@ def __init__( # global_initial_quality: Dict[str, float] = None, report: MsxReportOptions = None, ): - """ - Solver options - - Parameters - ---------- - timestep : int >= 1 - Water quality timestep (seconds), by default 60 (one minute). - area_units : str, optional - Units of area to use in surface concentration forms, by default - ``M2``. Valid values are ``FT2``, ``M2``, or ``CM2``. - rate_units : str, optional - Time units to use in all rate reactions, by default ``MIN``. Valid - values are ``SEC``, ``MIN``, ``HR``, or ``DAY``. - solver : str, optional - Solver to use, by default ``RK5``. Options are ``RK5`` (5th order - Runge-Kutta method), ``ROS2`` (2nd order Rosenbrock method), or - ``EUL`` (Euler method). - coupling : str, optional - Use coupling method for solution, by default ``NONE``. Valid - options are ``FULL`` or ``NONE``. - atol : float, optional - Absolute concentration tolerance, by default 0.01 (regardless of - species concentration units). - rtol : float, optional - Relative concentration tolerance, by default 0.001 (±0.1%). - compiler : str, optional - Whether to use a compiler, by default ``NONE``. Valid options are - ``VC``, ``GC``, or ``NONE`` - segments : int, optional - Maximum number of segments per pipe (MSX 2.0 or newer only), by - default 5000. - peclet : int, optional - Peclet threshold for applying dispersion (MSX 2.0 or newer only), - by default 1000. - report : MsxReportOptions or dict - Options on how to report out results. - - """ self.timestep: int = timestep """Timestep, in seconds, by default 360""" self.area_units: str = area_units From 3baa93a44dd678459bee5eaa6d90e24a531995d8 Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 1 Oct 2024 12:43:27 -0400 Subject: [PATCH 080/118] combining link-like and node-like gis files --- wntr/graphics/network.py | 125 +++++++++++++++++++++------------------ 1 file changed, 67 insertions(+), 58 deletions(-) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index 10a966185..42282d10c 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -58,7 +58,7 @@ def plot_network_gis( node_size=20, node_range=None, node_alpha=1, node_cmap=None, node_labels=False, link_width=1, link_range=None, link_alpha=1, link_cmap=None, link_labels=False, add_colorbar=True, node_colorbar_label='Node', link_colorbar_label='Link', - directed=False, ax=None, filename=None): + directed=False, ax=None, show_plot=True, filename=None): """ Plot network graphic @@ -137,6 +137,9 @@ def plot_network_gis( ax: matplotlib axes object, optional Axes for plotting (None indicates that a new figure with a single axes will be used) + + show_plot: bool, optional + If True, show plot with plt.show() filename : str, optional Filename used to save the figure @@ -153,10 +156,22 @@ def plot_network_gis( ax.set_title(title) # set aspect setting - aspect = None + # aspect = None + aspect = "auto" + # aspect = "equal" + # initialize gis objects wn_gis = wn.to_gis() + link_gdf = pd.concat((wn_gis.pipes, wn_gis.pumps, wn_gis.valves)) + + node_gdf = pd.concat((wn_gis.junctions, wn_gis.tanks, wn_gis.reservoirs)) + + # missing keyword args + # these are used for elements that do not have a value for the link_attribute + missing_kwds = {"color": "black"} + + # colormap if link_cmap is None: link_cmap = plt.get_cmap('Spectral_r') @@ -171,36 +186,36 @@ def plot_network_gis( # prepare pipe plotting keywords - pipes_kwds = {} + link_kwds = {} if link_attribute is not None: - pipes_kwds["column"] = link_attribute - pipes_kwds["cmap"] = link_cmap + link_kwds["column"] = link_attribute + link_kwds["cmap"] = link_cmap if add_colorbar: - pipes_kwds["legend"] = True + link_kwds["legend"] = True else: - pipes_kwds["color"] = "black" - pipes_kwds["alpha"] = link_alpha + link_kwds["color"] = "black" + link_kwds["alpha"] = link_alpha - pipes_cbar_kwds = {} - pipes_cbar_kwds["shrink"] = 0.5 - pipes_cbar_kwds["pad"] = 0.0 - pipes_cbar_kwds["label"] = link_colorbar_label + link_cbar_kwds = {} + link_cbar_kwds["shrink"] = 0.5 + link_cbar_kwds["pad"] = 0.0 + link_cbar_kwds["label"] = link_colorbar_label # prepare junctin plotting keywords - junction_kwds = {} + node_kwds = {} if node_attribute is not None: - junction_kwds["column"] = node_attribute - junction_kwds["cmap"] = node_cmap + node_kwds["column"] = node_attribute + node_kwds["cmap"] = node_cmap if add_colorbar: - junction_kwds["legend"] = True + node_kwds["legend"] = True else: - junction_kwds["color"] = "black" - junction_kwds["alpha"] = node_alpha + node_kwds["color"] = "black" + node_kwds["alpha"] = node_alpha - junction_cbar_kwds = {} - junction_cbar_kwds["shrink"] = 0.5 - junction_cbar_kwds["pad"] = 0.0 - junction_cbar_kwds["label"] = node_colorbar_label + node_cbar_kwds = {} + node_cbar_kwds["shrink"] = 0.5 + node_cbar_kwds["pad"] = 0.0 + node_cbar_kwds["label"] = node_colorbar_label # TODO handle node/link labels @@ -208,48 +223,42 @@ def plot_network_gis( # plot junctions - wn_gis.junctions.plot( - ax=ax, aspect=aspect, markersize=node_size, zorder=1, - vmax=node_range[0], vmin=node_range[1],legend_kwds=junction_cbar_kwds, **junction_kwds) + # node_gdf.plot( + # ax=ax, aspect=aspect, markersize=node_size, zorder=1, + # vmax=node_range[0], vmin=node_range[1], legend_kwds=node_cbar_kwds, **node_kwds) - # plot tanks - wn_gis.tanks.plot(ax=ax, marker="P", aspect=aspect, zorder=1) + # # plot tanks + # wn_gis.tanks.plot(ax=ax, marker="P", aspect=aspect, zorder=1) - # plot reservoirs - wn_gis.reservoirs.plot(ax=ax, marker="s", aspect=aspect, zorder=1) + # # plot reservoirs + # wn_gis.reservoirs.plot(ax=ax, marker="s", aspect=aspect, zorder=1) # plot pipes - wn_gis.pipes.plot( + minx, miny, maxx, maxy = link_gdf.total_bounds + link_gdf.plot( ax=ax, aspect=aspect, zorder=0, linewidth=link_width, - vmax=link_range[0], vmin=link_range[1], legend_kwds=pipes_cbar_kwds, **pipes_kwds) - - # plot pumps - if len(wn_gis.pumps) >0: - wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) - wn_gis.pumps["midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) - wn_gis.pumps["angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) - # valve_midpoints.plot(ax=ax, marker=">", aspect=aspect) - for idx , row in wn_gis.pumps.iterrows(): - x,y = row["midpoint"].x, row["midpoint"].y - # dx = math.cos(math.radians(row["angle"])) - # dy = math.sin(math.radians(row["angle"])) - angle = row["angle"] - ax.scatter(x,y, color="purple", s=100, marker=(3,0, angle-90)) - # ax.arrow(x,y, dx*0.1, dy*0.1, head_width=0.05, head_length=0.1, fc="blue", ec="blue") + vmax=link_range[0], vmin=link_range[1], missing_kwds=missing_kwds, legend_kwds=link_cbar_kwds, **link_kwds) + ax.set_xlim([minx, maxx]) + ax.set_ylim([miny, maxy]) + # # plot pumps + # if len(wn_gis.pumps) >0: + # wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) + # wn_gis.pumps["midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) + # wn_gis.pumps["angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) + # for idx , row in wn_gis.pumps.iterrows(): + # x,y = row["midpoint"].x, row["midpoint"].y + # angle = row["angle"] + # ax.scatter(x,y, color="purple", s=100, marker=(3,0, angle-90)) # plot valves - if len(wn_gis.valves) >0: - wn_gis.valves.plot(ax=ax, color="green", aspect=aspect) - wn_gis.valves["midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) - wn_gis.valves["angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) - # valve_midpoints.plot(ax=ax, marker=">", aspect=aspect) - for idx , row in wn_gis.valves.iterrows(): - x,y = row["midpoint"].x, row["midpoint"].y - # dx = math.cos(math.radians(row["angle"])) - # dy = math.sin(math.radians(row["angle"])) - angle = row["angle"] - ax.scatter(x,y, color="green", s=100, marker=(3,0, angle-90)) - # ax.arrow(x,y, dx*0.1, dy*0.1, head_width=0.05, head_length=0.1, fc="blue", ec="blue") + # if len(wn_gis.valves) >0: + # # wn_gis.valves.plot(ax=ax, color="green", aspect=aspect) + # wn_gis.valves["midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) + # wn_gis.valves["angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) + # for idx , row in wn_gis.valves.iterrows(): + # x,y = row["midpoint"].x, row["midpoint"].y + # angle = row["angle"] + # ax.scatter(x,y, color="green", s=100, marker=(3,0, angle-90)) # annotation if node_labels: @@ -261,7 +270,7 @@ def plot_network_gis( for x, y, label in zip(midpoints.geometry.x, midpoints.geometry.y, wn_gis.pipes.index): ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") - ax.axis('off') + # ax.axis('off') if filename: plt.savefig(filename) From 487511afa21f237cdcd62f8886bda8662175589e Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 1 Oct 2024 18:30:28 -0400 Subject: [PATCH 081/118] adding tank/reservoir marker shapes and implementating other type options for attributes --- wntr/graphics/network.py | 104 +++++++++++++++++++++++++++++---------- 1 file changed, 79 insertions(+), 25 deletions(-) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index 42282d10c..37529d3a7 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -57,7 +57,7 @@ def plot_network_gis( wn, node_attribute=None, link_attribute=None, title=None, node_size=20, node_range=None, node_alpha=1, node_cmap=None, node_labels=False, link_width=1, link_range=None, link_alpha=1, link_cmap=None, link_labels=False, - add_colorbar=True, node_colorbar_label='Node', link_colorbar_label='Link', + add_colorbar=True, node_colorbar_label="", link_colorbar_label="", directed=False, ax=None, show_plot=True, filename=None): """ Plot network graphic @@ -156,8 +156,8 @@ def plot_network_gis( ax.set_title(title) # set aspect setting - # aspect = None - aspect = "auto" + aspect = None + # aspect = "auto" # aspect = "equal" # initialize gis objects @@ -169,8 +169,11 @@ def plot_network_gis( # missing keyword args # these are used for elements that do not have a value for the link_attribute - missing_kwds = {"color": "black"} + # missing_kwds = {"color": "black"} + # set tank and reservoir marker + tank_marker = "P" + reservoir_marker = "s" # colormap if link_cmap is None: @@ -188,14 +191,41 @@ def plot_network_gis( # prepare pipe plotting keywords link_kwds = {} if link_attribute is not None: - link_kwds["column"] = link_attribute + # if dict convert to a series + if isinstance(link_attribute, dict): + link_attribute = pd.Series(link_attribute) + # if series add as a column to link gdf + if isinstance(link_attribute, pd.Series): + link_gdf["_link_attribute"] = link_attribute + link_kwds["column"] = "_link_attribute" + # if list, create new boolean column that captures which indices are in the list + # TODO need to check this with original behavior + elif isinstance(link_attribute, list): + link_gdf["_link_attribute"] = link_gdf.index.isin(link_attribute).astype(int) + link_kwds["column"] = "_link_attribute" + # if str, assert that column name exists + elif isinstance(link_attribute, str): + if link_attribute not in link_gdf.columns: + raise KeyError(f"link_attribute {link_attribute} does not exist.") + link_kwds["column"] = link_attribute + else: + raise TypeError("link_attribute must be dict, Series, list, or str") link_kwds["cmap"] = link_cmap if add_colorbar: link_kwds["legend"] = True + link_kwds["vmin"] = link_range[0] + link_kwds["vmax"] = link_range[1] else: link_kwds["color"] = "black" + + link_kwds["linewidth"] = link_width link_kwds["alpha"] = link_alpha + background_link_kwds = {} + background_link_kwds["color"] = "grey" + background_link_kwds["linewidth"] = link_width + background_link_kwds["alpha"] = link_alpha + link_cbar_kwds = {} link_cbar_kwds["shrink"] = 0.5 link_cbar_kwds["pad"] = 0.0 @@ -204,43 +234,67 @@ def plot_network_gis( # prepare junctin plotting keywords node_kwds = {} if node_attribute is not None: - node_kwds["column"] = node_attribute + # if dict convert to a series + if isinstance(node_attribute, dict): + node_attribute = pd.Series(node_attribute) + # if series add as a column to node gdf + if isinstance(node_attribute, pd.Series): + node_gdf["_node_attribute"] = node_attribute + node_kwds["column"] = "_node_attribute" + # if list, create new boolean column that captures which indices are in the list + # TODO need to check this with original behavior + elif isinstance(node_attribute, list): + node_gdf["_node_attribute"] = node_gdf.index.isin(node_attribute).astype(int) + node_kwds["column"] = "_node_attribute" + # if str, assert that column name exists + elif isinstance(node_attribute, str): + if node_attribute not in node_gdf.columns: + raise KeyError(f"node_attribute {node_attribute} does not exist.") + node_kwds["column"] = node_attribute + else: + raise TypeError("node_attribute must be dict, Series, list, or str") node_kwds["cmap"] = node_cmap if add_colorbar: node_kwds["legend"] = True + node_kwds["vmin"] = node_range[0] + node_kwds["vmax"] = node_range[1] else: node_kwds["color"] = "black" node_kwds["alpha"] = node_alpha + node_kwds["markersize"] = node_size node_cbar_kwds = {} node_cbar_kwds["shrink"] = 0.5 node_cbar_kwds["pad"] = 0.0 node_cbar_kwds["label"] = node_colorbar_label - # TODO handle node/link labels - - # colorbar kwds - - # plot junctions - # node_gdf.plot( - # ax=ax, aspect=aspect, markersize=node_size, zorder=1, - # vmax=node_range[0], vmin=node_range[1], legend_kwds=node_cbar_kwds, **node_kwds) + # junction_mask + node_gdf[node_gdf.node_type == "Junction"].plot( + ax=ax, aspect=aspect, zorder=3, legend_kwds=node_cbar_kwds, **node_kwds) + + # turn off legend for subsequent node plots + node_kwds["legend"] = False - # # plot tanks - # wn_gis.tanks.plot(ax=ax, marker="P", aspect=aspect, zorder=1) + # plot tanks + node_kwds["markersize"] = node_size * 1.5 + node_gdf[node_gdf.node_type == "Tank"].plot( + ax=ax, aspect=aspect, zorder=4, marker=tank_marker, **node_kwds) - # # plot reservoirs - # wn_gis.reservoirs.plot(ax=ax, marker="s", aspect=aspect, zorder=1) + # plot reservoirs + node_kwds["markersize"] = node_size * 2.0 + node_gdf[node_gdf.node_type == "Reservoir"].plot( + ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, **node_kwds) # plot pipes - minx, miny, maxx, maxy = link_gdf.total_bounds + # background + link_gdf.plot( + ax=ax, aspect=aspect, zorder=1, **background_link_kwds) + link_gdf.plot( - ax=ax, aspect=aspect, zorder=0, linewidth=link_width, - vmax=link_range[0], vmin=link_range[1], missing_kwds=missing_kwds, legend_kwds=link_cbar_kwds, **link_kwds) - ax.set_xlim([minx, maxx]) - ax.set_ylim([miny, maxy]) - # # plot pumps + ax=ax, aspect=aspect, zorder=2, legend_kwds=link_cbar_kwds, **link_kwds) + + # plot pumps # if len(wn_gis.pumps) >0: # wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) # wn_gis.pumps["midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) @@ -270,7 +324,7 @@ def plot_network_gis( for x, y, label in zip(midpoints.geometry.x, midpoints.geometry.y, wn_gis.pipes.index): ax.annotate(label, xy=(x, y))#, 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083/118] tests: correct filename in demo file, clean binary objects out of ipynb --- examples/demos/multisource-cl-decay.ipynb | 435 +++++----------------- 1 file changed, 98 insertions(+), 337 deletions(-) diff --git a/examples/demos/multisource-cl-decay.ipynb b/examples/demos/multisource-cl-decay.ipynb index b4fbb930b..6bf6db693 100644 --- a/examples/demos/multisource-cl-decay.ipynb +++ b/examples/demos/multisource-cl-decay.ipynb @@ -37,8 +37,11 @@ "outputs": [], "source": [ "import wntr\n", - "wn = wntr.network.WaterNetworkModel('../networks/Net3.inp')\n", - "wn.options.quality.parameter = 'NONE'" + "\n", + "\n", + "wn = wntr.network.WaterNetworkModel(\"../networks/Net3.inp\")\n", + "\n", + "wn.options.quality.parameter = \"NONE\"" ] }, { @@ -55,11 +58,13 @@ "outputs": [], "source": [ "wn.add_msx_model()\n", - "wn.msx.title = 'Multisource Chlorine Decay'\n", - "wn.msx.references.append(\"\"\"(2023) Shang F, L Rossman, and J Uber. \n", - "\"EPANET-MSX 2.0 User Manual\". EPA/600/R-22/199\"\"\")\n", - "wn.msx.options.area_units = 'FT2'\n", - "wn.msx.options.rate_units = 'DAY'\n", + "wn.msx.title = \"Multisource Chlorine Decay\"\n", + "wn.msx.references.append(\n", + " \"\"\"(2023) Shang F, L Rossman, and J Uber. \n", + "\"EPANET-MSX 2.0 User Manual\". EPA/600/R-22/199\"\"\"\n", + ")\n", + "wn.msx.options.area_units = \"FT2\"\n", + "wn.msx.options.rate_units = \"DAY\"\n", "wn.msx.options.timestep = 300" ] }, @@ -79,58 +84,34 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Species(name='CL2', species_type='BULK', units='MG', atol=None, rtol=None, note='Free Chlorine')\n" - ] - } - ], + "outputs": [], "source": [ - "T1 = wn.msx.add_species('T1','bulk',units='MG', note='Source 1 Tracer')\n", - "Cl2 = wn.msx.add_species('CL2','bulk', units='MG', note='Free Chlorine')\n", + "T1 = wn.msx.add_species(\"T1\", \"bulk\", units=\"MG\", note=\"Source 1 Tracer\")\n", + "Cl2 = wn.msx.add_species(\"CL2\", \"bulk\", units=\"MG\", note=\"Free Chlorine\")\n", "print(repr(Cl2))" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Constant(name='k2', value=17.7, units='1/day')\n" - ] - } - ], + "outputs": [], "source": [ - "k1 = wn.msx.add_constant('k1', 1.3, units='1/day')\n", - "k2 = wn.msx.add_constant('k2', 17.7, units='1/day')\n", + "k1 = wn.msx.add_constant(\"k1\", 1.3, units=\"1/day\")\n", + "k2 = wn.msx.add_constant(\"k2\", 17.7, units=\"1/day\")\n", "print(repr(k2))" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reaction(species_name='CL2', expression_type='RATE', expression='-(k1*T1 + k2*(1-T1))*CL2')\n" - ] - } - ], + "outputs": [], "source": [ - "rxn_T1 = wn.msx.add_reaction('T1', 'pipe', 'rate', '0')\n", - "rxn_Cl2 = wn.msx.add_reaction('CL2', 'pipe', 'rate', '-(k1*T1 + k2*(1-T1))*CL2')\n", + "rxn_T1 = wn.msx.add_reaction(\"T1\", \"pipe\", \"rate\", \"0\")\n", + "rxn_Cl2 = wn.msx.add_reaction(\"CL2\", \"pipe\", \"rate\", \"-(k1*T1 + k2*(1-T1))*CL2\")\n", "print(repr(rxn_Cl2))" ] }, @@ -144,27 +125,15 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'CL2': InitialQuality(global_value=0.0, node_values=<2 entries>, link_values=<0 entries>),\n", - " 'T1': InitialQuality(global_value=0.0, node_values=<1 entries>, link_values=<0 entries>)}\n" - ] - } - ], + "outputs": [], "source": [ "from wntr.msx.elements import InitialQuality\n", + "\n", "net_data = wn.msx.network_data\n", - "net_data.initial_quality['T1'] = InitialQuality(\n", - " node_values={'River': 1.0}\n", - ")\n", - "net_data.initial_quality['CL2'] = InitialQuality(\n", - " node_values={'River':1.2, 'Lake':1.2}\n", - ")\n", + "net_data.initial_quality[\"T1\"] = InitialQuality(node_values={\"River\": 1.0})\n", + "net_data.initial_quality[\"CL2\"] = InitialQuality(node_values={\"River\": 1.2, \"Lake\": 1.2})\n", "pprint(net_data.initial_quality)" ] }, @@ -178,23 +147,14 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Node results: demand, head, pressure, quality, T1, CL2\n", - "Link results: quality, flowrate, velocity, headloss, status, setting, friction_factor, reaction_rate, T1, CL2\n" - ] - } - ], + "outputs": [], "source": [ "sim = wntr.sim.EpanetSimulator(wn)\n", "res = sim.run_sim()\n", - "print('Node results:' , ', '.join([k for k in res.node.keys()]))\n", - "print('Link results:' , ', '.join([k for k in res.link.keys()]))" + "print(\"Node results:\", \", \".join([k for k in res.node.keys()]))\n", + "print(\"Link results:\", \", \".join([k for k in res.link.keys()]))" ] }, { @@ -206,69 +166,35 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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", 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", - "text/plain": [ - "
        " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", - "_=wntr.graphics.plot_network(\n", - " wn, node_attribute=res.node['T1'].loc[3600*12,:], \n", - " title='12 h', node_colorbar_label='River\\nFraction',\n", + "\n", + "_ = wntr.graphics.plot_network(\n", + " wn,\n", + " node_attribute=res.node[\"T1\"].loc[3600 * 12, :],\n", + " title=\"12 h\",\n", + " node_colorbar_label=\"River\\nFraction\",\n", ")\n", - "_=wntr.graphics.plot_network(\n", - " wn, node_attribute=res.node['T1'].loc[3600*24,:], \n", - " title='24 h', node_colorbar_label='River\\nFraction',\n", + "_ = wntr.graphics.plot_network(\n", + " wn,\n", + " node_attribute=res.node[\"T1\"].loc[3600 * 24, :],\n", + " title=\"24 h\",\n", + " node_colorbar_label=\"River\\nFraction\",\n", ")\n", - "_=wntr.graphics.plot_network(\n", - " wn, node_attribute=res.node['T1'].loc[3600*36,:], \n", - " title='36 h', node_colorbar_label='River\\nFraction',\n", + "_ = wntr.graphics.plot_network(\n", + " wn,\n", + " node_attribute=res.node[\"T1\"].loc[3600 * 36, :],\n", + " title=\"36 h\",\n", + " node_colorbar_label=\"River\\nFraction\",\n", ")\n", - "query = '117' # '191', '269', '117'\n", - "res.node['CL2'][query].plot()\n", - "res.node['T1'][query].plot()\n", - "plt.title('Node {}\\nk1 = {:.1f}, k2 = {:.1f}'.format(query, k1.value, k2.value))\n", - "_=plt.legend(['Cl2', 'T1'])" + "query = \"117\" # '191', '269', '117'\n", + "res.node[\"CL2\"][query].plot()\n", + "res.node[\"T1\"][query].plot()\n", + "plt.title(\"Node {}\\nk1 = {:.1f}, k2 = {:.1f}\".format(query, k1.value, k2.value))\n", + "_ = plt.legend([\"Cl2\", \"T1\"])" ] }, { @@ -285,10 +211,10 @@ "outputs": [], "source": [ "d_k1 = dict()\n", - "k1 = wn.msx.reaction_system.constants['k1']\n", + "k1 = wn.msx.reaction_system.constants[\"k1\"]\n", "for i in range(7):\n", " # Increase the reaction rate\n", - " newk = 1.3 + i*2.6\n", + " newk = 1.3 + i * 2.6\n", " k1.value = newk\n", " resk = sim.run_sim()\n", " d_k1[newk] = resk" @@ -296,38 +222,17 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Concentraion [mg/L]')" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
        " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# res.node[\"T1\"].loc[0:3600*36, query].plot(style='k.')\n", "for newk, resk in d_k1.items():\n", - " resk.node[\"CL2\"].loc[0:3600*36, query].plot()\n", + " resk.node[\"CL2\"].loc[0 : 3600 * 36, query].plot()\n", "plt.legend([\"{:.1f}\".format(k) for k in d_k1.keys()], title=\"k1 (1/day)\")\n", "plt.title(\"Chlorine residual at node {}\".format(query))\n", - "plt.xlabel('Seconds')\n", - "plt.ylabel('Concentraion [mg/L]')" + "plt.xlabel(\"Seconds\")\n", + "plt.ylabel(\"Concentraion [mg/L]\")" ] }, { @@ -346,9 +251,10 @@ "outputs": [], "source": [ "from wntr.msx import io as msxio\n", - "msxio.write_msxfile(wn.msx, 'Net3.msx')\n", - "msxio.write_json(wn.msx, 'Net3-msx.json')\n", - "msxio.write_json(wn.msx, 'multisource-cl.json', as_library=True)" + "\n", + "msxio.write_msxfile(wn.msx, \"Net3.msx\")\n", + "msxio.write_json(wn.msx, \"Net3-msx.json\")\n", + "msxio.write_json(wn.msx, \"multisource-cl.json\", as_library=True)" ] }, { @@ -360,109 +266,35 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "; WNTR-reactions MSX file generated 2024-05-20 16:04:15.375087\n", - "\n", - "[TITLE]\n", - " Multisource Chlorine Decay\n", - "\n", - "[OPTIONS]\n", - " AREA_UNITS FT2\n", - " RATE_UNITS DAY\n", - " SOLVER RK5\n", - " COUPLING NONE\n", - " TIMESTEP 300\n", - " ATOL 0.0001\n", - " RTOL 0.0001\n", - " COMPILER NONE\n", - " SEGMENTS 5000\n", - " PECLET 1000\n", - "\n", - "[SPECIES]\n", - " BULK T1 MG ; Source 1 Tracer\n", - " BULK CL2 MG ; Free Chlorine\n", - "\n", - "[COEFFICIENTS]\n", - " CONSTANT k1 16.900000000000002\n", - " CONSTANT k2 17.7 \n", - "\n", - "[TERMS]\n", - "\n", - "[PIPES]\n", - " RATE T1 0 \n", - " RATE CL2 -(k1*T1 + k2*(1-T1))*CL2 \n", - "\n", - "[TANKS]\n", - "\n", - "[DIFFUSIVITY]\n", - "\n", - "[PARAMETERS]\n", - "\n", - "[PATTERNS]\n", - "\n", - "[REPORT]\n", - "\n", - "[QUALITY]\n", - " NODE River T1 1.0\n", - " NODE River CL2 1.2\n", - " NODE Lake CL2 1.2\n", - "\n", - "[SOURCES]\n", - "\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "with open('Net3.msx', 'r') as fin:\n", + "with open(\"Net3.msx\", \"r\") as fin:\n", " print(fin.read())" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "With network data:\n", - "{'initial_quality': {'CL2': {'global_value': 0.0,\n", - " 'link_values': {},\n", - " 'node_values': {'Lake': 1.2, 'River': 1.2}},\n", - " 'T1': {'global_value': 0.0,\n", - " 'link_values': {},\n", - " 'node_values': {'River': 1.0}}},\n", - " 'parameter_values': {},\n", - " 'patterns': {},\n", - " 'sources': {}}\n", - "As a library:\n", - "{'initial_quality': {}, 'parameter_values': {}, 'patterns': {}, 'sources': {}}\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", + "\n", "with_net: dict = None\n", "without_net: dict = None\n", "\n", - "with open('Net3-msx.json', 'r') as fin:\n", + "with open(\"Net3-msx.json\", \"r\") as fin:\n", " with_net = json.load(fin)\n", - "with open('multisource-cl.json', 'r') as fin:\n", + "with open(\"multisource-cl.json\", \"r\") as fin:\n", " without_net = json.load(fin)\n", "\n", - "print('With network data:')\n", - "pprint(with_net['network_data'])\n", + "print(\"With network data:\")\n", + "pprint(with_net[\"network_data\"])\n", "\n", - "print('As a library:')\n", - "pprint(without_net['network_data'])" + "print(\"As a library:\")\n", + "pprint(without_net[\"network_data\"])" ] }, { @@ -478,35 +310,13 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['arsenic_chloramine',\n", - " 'batch_chloramine_decay',\n", - " 'lead_ppm',\n", - " 'msx.schema',\n", - " 'nicotine',\n", - " 'nicotine_ri',\n", - " 'ms-cl-tmp',\n", - " 'Multisource-Cl',\n", - " 'Net3-msx',\n", - " 'Net3',\n", - " 'Net3_multisource-cl',\n", - " 'temp.check',\n", - " 'temp']" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "from wntr.library.msx import MsxLibrary\n", - "my_library = MsxLibrary(extra_paths=['.']) # load files from the current directory\n", + "\n", + "my_library = MsxLibrary(extra_paths=[\".\"]) # load files from the current directory\n", "my_library.model_name_list()" ] }, @@ -521,44 +331,20 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'T1': InitialQuality(global_value=0.0, node_values=<1 entries>, link_values=<0 entries>),\n", - " 'CL2': InitialQuality(global_value=0.0, node_values=<2 entries>, link_values=<0 entries>)}" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "my_library.get_model('Net3').network_data.initial_quality" + "my_library.get_model(\"Net3\").network_data.initial_quality" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'T1': InitialQuality(global_value=0.0, node_values=<0 entries>, link_values=<0 entries>),\n", - " 'CL2': InitialQuality(global_value=0.0, node_values=<0 entries>, link_values=<0 entries>)}" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "my_library.get_model('Multisource-Cl').network_data.initial_quality" + "my_library.get_model(\"multisource-cl\").network_data.initial_quality" ] }, { @@ -570,46 +356,21 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Species(name='AS3', species_type='BULK', units='UG', atol=None, rtol=None, note='Dissolved arsenite')\n", - "Species(name='AS5', species_type='BULK', units='UG', atol=None, rtol=None, note='Dissolved arsenate')\n", - "Species(name='AStot', species_type='BULK', units='UG', atol=None, rtol=None, note='Total dissolved arsenic')\n", - "Species(name='AS5s', species_type='WALL', units='UG', atol=None, rtol=None, note='Adsorbed arsenate')\n", - "Species(name='NH2CL', species_type='BULK', units='MG', atol=None, rtol=None, note='Monochloramine')\n", - "Constant(name='Ka', value=10.0, units='1 / (MG * HR)', note='Arsenite oxidation rate coefficient')\n", - "Constant(name='Kb', value=0.1, units='1 / HR', note='Monochloramine decay rate coefficient')\n", - "Constant(name='K1', value=5.0, units='M^3 / (UG * HR)', note='Arsenate adsorption coefficient')\n", - "Constant(name='K2', value=1.0, units='1 / HR', note='Arsenate desorption coefficient')\n", - "Constant(name='Smax', value=50.0, units='UG / M^2', note='Arsenate adsorption limit')\n", - "Term(name='Ks', expression='K1/K2', note='Equil. adsorption coeff.')\n", - "Reaction(species_name='AS3', expression_type='RATE', expression='-Ka*AS3*NH2CL', note='Arsenite oxidation')\n", - "Reaction(species_name='AS5', expression_type='RATE', expression='Ka*AS3*NH2CL - Av*(K1*(Smax-AS5s)*AS5 - K2*AS5s)', note='Arsenate production less adsorption')\n", - "Reaction(species_name='NH2CL', expression_type='RATE', expression='-Kb*NH2CL', note='Monochloramine decay')\n", - "Reaction(species_name='AS5s', expression_type='EQUIL', expression='Ks*Smax*AS5/(1+Ks*AS5) - AS5s', note='Arsenate adsorption')\n", - "Reaction(species_name='AStot', expression_type='FORMULA', expression='AS3 + AS5', note='Total arsenic')\n", - "Reaction(species_name='AS3', expression_type='RATE', expression='-Ka*AS3*NH2CL', note='Arsenite oxidation')\n", - "Reaction(species_name='AS5', expression_type='RATE', expression='Ka*AS3*NH2CL', note='Arsenate production')\n", - "Reaction(species_name='NH2CL', expression_type='RATE', expression='-Kb*NH2CL', note='Monochloramine decay')\n", - "Reaction(species_name='AStot', expression_type='FORMULA', expression='AS3 + AS5', note='Total arsenic')\n" - ] - } - ], + "outputs": [], "source": [ - "arsenic = my_library.get_model('arsenic_chloramine')\n", - "for key,value in arsenic.reaction_system.variables(): print(repr(value))\n", - "for key,value in arsenic.reaction_system.reactions(): print(repr(value))" + "arsenic = my_library.get_model(\"arsenic_chloramine\")\n", + "for key, value in arsenic.reaction_system.variables():\n", + " print(repr(value))\n", + "for key, value in arsenic.reaction_system.reactions():\n", + " print(repr(value))" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -623,7 +384,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.1" + "version": "3.11.5" } }, "nbformat": 4, From 9bc07cfa255d25f0cdead32d874bb69c4539e56e Mon Sep 17 00:00:00 2001 From: kbonney Date: Mon, 21 Oct 2024 09:52:42 -0400 Subject: [PATCH 084/118] set geopandas backend to the plot_network function name. update the geopandas backend to handle lists for attributes and add shapes for valves and pumps. --- wntr/graphics/__init__.py | 2 +- wntr/graphics/network.py | 182 +++++++++++++++++++------------------- 2 files changed, 94 insertions(+), 90 deletions(-) diff --git a/wntr/graphics/__init__.py b/wntr/graphics/__init__.py index 5ea000ee9..7238bd7ea 100644 --- a/wntr/graphics/__init__.py +++ b/wntr/graphics/__init__.py @@ -1,7 +1,7 @@ """ The wntr.graphics package contains graphic functions """ -from wntr.graphics.network import plot_network, plot_network_gis, plot_interactive_network, plot_leaflet_network, network_animation +from wntr.graphics.network import plot_network, plot_network_nx, plot_interactive_network, plot_leaflet_network, network_animation from wntr.graphics.layer import plot_valve_layer from wntr.graphics.curve import plot_fragility_curve, plot_pump_curve, plot_tank_volume_curve from wntr.graphics.color import custom_colormap, random_colormap diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index 37529d3a7..c8d12ce78 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -7,7 +7,9 @@ import networkx as nx import pandas as pd import matplotlib.pyplot as plt +import matplotlib.path as mpath from matplotlib import animation +import numpy as np try: import plotly @@ -22,13 +24,56 @@ logger = logging.getLogger(__name__) + +arrow_verts = [ + (0.0, 0.0), + (0.5, 0.5), + (0.5, -0.5), + (0.0, 0.0), +] + +arrow_marker = mpath.Path(arrow_verts) + def _get_angle(line, loc=0.5): # calculate orientation angle p1 = line.interpolate(loc-0.01, normalized=True) p2 = line.interpolate(loc+0.01, normalized=True) - angle = math.atan2(p2.y-p1.y, p2.x - p1.x) + angle = math.atan2(p2.y-p1.y, p2.x - p1.x) # radians + angle = math.degrees(angle) return angle + +def _prepare_attribute(attribute, gdf): + kwds = {} + if attribute is not None: + # if dict convert to a series + if isinstance(attribute, dict): + attribute = pd.Series(attribute) + # if series add as a column to link gdf + if isinstance(attribute, pd.Series): + gdf["_attribute"] = attribute + kwds["column"] = "_attribute" + # if list, create new boolean column that captures which indices are in the list + # TODO need to check this with original behavior + elif isinstance(attribute, list): + gdf["_attribute"] = np.nan + gdf.loc[gdf.index.isin(attribute), "_attribute"] = 1 + kwds["column"] = "_attribute" + # if str, assert that column name exists + elif isinstance(attribute, str): + if attribute not in gdf.columns: + raise KeyError(f"attribute {attribute} does not exist.") + kwds["column"] = attribute + else: + raise TypeError("attribute must be dict, Series, list, or str") + else: + kwds["color"] = "black" + return kwds + + + + + # def _create_oriented_arrow(line, length=0.01) def _format_node_attribute(node_attribute, wn): @@ -53,7 +98,7 @@ def _format_link_attribute(link_attribute, wn): return link_attribute -def plot_network_gis( +def plot_network( wn, node_attribute=None, link_attribute=None, title=None, node_size=20, node_range=None, node_alpha=1, node_cmap=None, node_labels=False, link_width=1, link_range=None, link_alpha=1, link_cmap=None, link_labels=False, @@ -155,66 +200,37 @@ def plot_network_gis( if title is not None: ax.set_title(title) - # set aspect setting aspect = None - # aspect = "auto" - # aspect = "equal" - - # initialize gis objects - wn_gis = wn.to_gis() - - link_gdf = pd.concat((wn_gis.pipes, wn_gis.pumps, wn_gis.valves)) - node_gdf = pd.concat((wn_gis.junctions, wn_gis.tanks, wn_gis.reservoirs)) - - # missing keyword args - # these are used for elements that do not have a value for the link_attribute - # missing_kwds = {"color": "black"} - - # set tank and reservoir marker - tank_marker = "P" + tank_marker = "D" reservoir_marker = "s" - # colormap if link_cmap is None: link_cmap = plt.get_cmap('Spectral_r') if node_cmap is None: node_cmap = plt.get_cmap('Spectral_r') - # ranges if link_range is None: link_range = (None, None) if node_range is None: node_range = (None, None) + + wn_gis = wn.to_gis() + link_gdf = pd.concat((wn_gis.pipes, wn_gis.pumps, wn_gis.valves)) + node_gdf = pd.concat((wn_gis.junctions, wn_gis.tanks, wn_gis.reservoirs)) + # process link attribute + link_kwds = _prepare_attribute(link_attribute, link_gdf) - # prepare pipe plotting keywords - link_kwds = {} - if link_attribute is not None: - # if dict convert to a series - if isinstance(link_attribute, dict): - link_attribute = pd.Series(link_attribute) - # if series add as a column to link gdf - if isinstance(link_attribute, pd.Series): - link_gdf["_link_attribute"] = link_attribute - link_kwds["column"] = "_link_attribute" - # if list, create new boolean column that captures which indices are in the list - # TODO need to check this with original behavior - elif isinstance(link_attribute, list): - link_gdf["_link_attribute"] = link_gdf.index.isin(link_attribute).astype(int) - link_kwds["column"] = "_link_attribute" - # if str, assert that column name exists - elif isinstance(link_attribute, str): - if link_attribute not in link_gdf.columns: - raise KeyError(f"link_attribute {link_attribute} does not exist.") - link_kwds["column"] = link_attribute - else: - raise TypeError("link_attribute must be dict, Series, list, or str") + if isinstance(link_attribute, list): + link_kwds["column"] = "_attribute" + link_kwds["cmap"] = custom_colormap(2,("red", "red")) + link_kwds["legend"] = False + elif isinstance(link_attribute, (dict, pd.Series, str)): link_kwds["cmap"] = link_cmap - if add_colorbar: - link_kwds["legend"] = True link_kwds["vmin"] = link_range[0] link_kwds["vmax"] = link_range[1] + link_kwds["legend"] = add_colorbar else: link_kwds["color"] = "black" @@ -230,36 +246,21 @@ def plot_network_gis( link_cbar_kwds["shrink"] = 0.5 link_cbar_kwds["pad"] = 0.0 link_cbar_kwds["label"] = link_colorbar_label - - # prepare junctin plotting keywords - node_kwds = {} - if node_attribute is not None: - # if dict convert to a series - if isinstance(node_attribute, dict): - node_attribute = pd.Series(node_attribute) - # if series add as a column to node gdf - if isinstance(node_attribute, pd.Series): - node_gdf["_node_attribute"] = node_attribute - node_kwds["column"] = "_node_attribute" - # if list, create new boolean column that captures which indices are in the list - # TODO need to check this with original behavior - elif isinstance(node_attribute, list): - node_gdf["_node_attribute"] = node_gdf.index.isin(node_attribute).astype(int) - node_kwds["column"] = "_node_attribute" - # if str, assert that column name exists - elif isinstance(node_attribute, str): - if node_attribute not in node_gdf.columns: - raise KeyError(f"node_attribute {node_attribute} does not exist.") - node_kwds["column"] = node_attribute - else: - raise TypeError("node_attribute must be dict, Series, list, or str") + + # process node attribute + node_kwds = _prepare_attribute(node_attribute, node_gdf) + + if isinstance(node_attribute, list): + node_kwds["cmap"] = custom_colormap(2,("red", "red")) + node_kwds["legend"] = False + elif isinstance(node_attribute, (dict, pd.Series, str)): node_kwds["cmap"] = node_cmap - if add_colorbar: - node_kwds["legend"] = True node_kwds["vmin"] = node_range[0] node_kwds["vmax"] = node_range[1] + node_kwds["legend"] = add_colorbar else: node_kwds["color"] = "black" + node_kwds["alpha"] = node_alpha node_kwds["markersize"] = node_size @@ -268,8 +269,8 @@ def plot_network_gis( node_cbar_kwds["pad"] = 0.0 node_cbar_kwds["label"] = node_colorbar_label + # plot nodes - each type is plotted separately to allow for different marker types # plot junctions - # junction_mask node_gdf[node_gdf.node_type == "Junction"].plot( ax=ax, aspect=aspect, zorder=3, legend_kwds=node_cbar_kwds, **node_kwds) @@ -277,12 +278,12 @@ def plot_network_gis( node_kwds["legend"] = False # plot tanks - node_kwds["markersize"] = node_size * 1.5 + node_kwds["markersize"] = node_size * 2.0 node_gdf[node_gdf.node_type == "Tank"].plot( ax=ax, aspect=aspect, zorder=4, marker=tank_marker, **node_kwds) # plot reservoirs - node_kwds["markersize"] = node_size * 2.0 + node_kwds["markersize"] = node_size * 3.0 node_gdf[node_gdf.node_type == "Reservoir"].plot( ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, **node_kwds) @@ -295,24 +296,24 @@ def plot_network_gis( ax=ax, aspect=aspect, zorder=2, legend_kwds=link_cbar_kwds, **link_kwds) # plot pumps - # if len(wn_gis.pumps) >0: - # wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) - # wn_gis.pumps["midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) - # wn_gis.pumps["angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) - # for idx , row in wn_gis.pumps.iterrows(): - # x,y = row["midpoint"].x, row["midpoint"].y - # angle = row["angle"] - # ax.scatter(x,y, color="purple", s=100, marker=(3,0, angle-90)) + if len(wn_gis.pumps) >0: + # wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) + wn_gis.pumps["midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) + wn_gis.pumps["angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) + for idx , row in wn_gis.pumps.iterrows(): + x,y = row["midpoint"].x, row["midpoint"].y + angle = row["angle"] + ax.scatter(x,y, color="black", s=100, marker=(3, 0, angle-90)) + # ax.scatter(x,y, color="purple", s=100, marker=arrow_marker) # plot valves - # if len(wn_gis.valves) >0: - # # wn_gis.valves.plot(ax=ax, color="green", aspect=aspect) - # wn_gis.valves["midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) - # wn_gis.valves["angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) - # for idx , row in wn_gis.valves.iterrows(): - # x,y = row["midpoint"].x, row["midpoint"].y - # angle = row["angle"] - # ax.scatter(x,y, color="green", s=100, marker=(3,0, angle-90)) + if len(wn_gis.valves) >0: + wn_gis.valves["midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) + wn_gis.valves["angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) + for idx , row in wn_gis.valves.iterrows(): + x,y = row["midpoint"].x, row["midpoint"].y + angle = row["angle"] + ax.scatter(x,y, color="black", s=200, marker=(2,0, angle)) # annotation if node_labels: @@ -329,10 +330,13 @@ def plot_network_gis( if filename: plt.savefig(filename) + if show_plot is True: + plt.show(block=False) + return ax -def plot_network(wn, node_attribute=None, link_attribute=None, title=None, +def plot_network_nx(wn, node_attribute=None, link_attribute=None, title=None, node_size=20, node_range=[None,None], node_alpha=1, node_cmap=None, node_labels=False, link_width=1, link_range=[None,None], link_alpha=1, link_cmap=None, link_labels=False, add_colorbar=True, node_colorbar_label='Node', link_colorbar_label='Link', From 3bb3c4b206512a275e402de4ff0809fd68591a6b Mon Sep 17 00:00:00 2001 From: kbonney Date: Mon, 21 Oct 2024 09:56:02 -0400 Subject: [PATCH 085/118] archive networkx plotting function in test suite --- wntr/tests/test_graphics.py | 238 ++++++++++++++++++++++++++++++++++++ 1 file changed, 238 insertions(+) diff --git a/wntr/tests/test_graphics.py b/wntr/tests/test_graphics.py index 0374ebef3..20ce5c055 100644 --- a/wntr/tests/test_graphics.py +++ b/wntr/tests/test_graphics.py @@ -5,7 +5,10 @@ import warnings from os.path import abspath, dirname, isfile, join +import networkx as nx import matplotlib.pylab as plt +from wntr.graphics.color import custom_colormap +import pandas as pd import wntr testdir = dirname(abspath(str(__file__))) @@ -235,6 +238,241 @@ def test_custom_colormap(self): ) self.assertEqual(cmp.N, 3) self.assertEqual(cmp.name, "custom") + + +# old plotting function using networkx backend to compare with geopandas +def plot_network_nx(wn, node_attribute=None, link_attribute=None, title=None, + node_size=20, node_range=[None,None], node_alpha=1, node_cmap=None, node_labels=False, + link_width=1, link_range=[None,None], link_alpha=1, link_cmap=None, link_labels=False, + add_colorbar=True, node_colorbar_label='Node', link_colorbar_label='Link', + directed=False, ax=None, show_plot=True, filename=None): + """ + Plot network graphic + + Parameters + ---------- + wn : wntr WaterNetworkModel + A WaterNetworkModel object + + node_attribute : None, str, list, pd.Series, or dict, optional + + - If node_attribute is a string, then a node attribute dictionary is + created using node_attribute = wn.query_node_attribute(str) + - If node_attribute is a list, then each node in the list is given a + value of 1. + - If node_attribute is a pd.Series, then it should be in the format + {nodeid: x} where nodeid is a string and x is a float. + - If node_attribute is a dict, then it should be in the format + {nodeid: x} where nodeid is a string and x is a float + + link_attribute : None, str, list, pd.Series, or dict, optional + + - If link_attribute is a string, then a link attribute dictionary is + created using edge_attribute = wn.query_link_attribute(str) + - If link_attribute is a list, then each link in the list is given a + value of 1. + - If link_attribute is a pd.Series, then it should be in the format + {linkid: x} where linkid is a string and x is a float. + - If link_attribute is a dict, then it should be in the format + {linkid: x} where linkid is a string and x is a float. + + title: str, optional + Plot title + + node_size: int, optional + Node size + + node_range: list, optional + Node color range ([None,None] indicates autoscale) + + node_alpha: int, optional + Node transparency + + node_cmap: matplotlib.pyplot.cm colormap or list of named colors, optional + Node colormap + + node_labels: bool, optional + If True, the graph will include each node labelled with its name. + + link_width: int, optional + Link width + + link_range : list, optional + Link color range ([None,None] indicates autoscale) + + link_alpha : int, optional + Link transparency + + link_cmap: matplotlib.pyplot.cm colormap or list of named colors, optional + Link colormap + + link_labels: bool, optional + If True, the graph will include each link labelled with its name. + + add_colorbar: bool, optional + Add colorbar + + node_colorbar_label: str, optional + Node colorbar label + + link_colorbar_label: str, optional + Link colorbar label + + directed: bool, optional + If True, plot the directed graph + + ax: matplotlib axes object, optional + Axes for plotting (None indicates that a new figure with a single + axes will be used) + + show_plot: bool, optional + If True, show plot with plt.show() + + filename : str, optional + Filename used to save the figure + + Returns + ------- + ax : matplotlib axes object + """ + + def _format_node_attribute(node_attribute, wn): + + if isinstance(node_attribute, str): + node_attribute = wn.query_node_attribute(node_attribute) + if isinstance(node_attribute, list): + node_attribute = dict(zip(node_attribute,[1]*len(node_attribute))) + if isinstance(node_attribute, pd.Series): + node_attribute = dict(node_attribute) + + return node_attribute + + def _format_link_attribute(link_attribute, wn): + + if isinstance(link_attribute, str): + link_attribute = wn.query_link_attribute(link_attribute) + if isinstance(link_attribute, list): + link_attribute = dict(zip(link_attribute,[1]*len(link_attribute))) + if isinstance(link_attribute, pd.Series): + link_attribute = dict(link_attribute) + + return link_attribute + + if ax is None: # create a new figure + plt.figure(facecolor='w', edgecolor='k') + ax = plt.gca() + + # Graph + G = wn.to_graph() + if not directed: + G = G.to_undirected() + + # Position + pos = nx.get_node_attributes(G,'pos') + if len(pos) == 0: + pos = None + + # Define node properties + add_node_colorbar = add_colorbar + if node_attribute is not None: + + if isinstance(node_attribute, list): + if node_cmap is None: + node_cmap = ['red', 'red'] + add_node_colorbar = False + + if node_cmap is None: + node_cmap = plt.get_cmap('Spectral_r') + elif isinstance(node_cmap, list): + if len(node_cmap) == 1: + node_cmap = node_cmap*2 + node_cmap = custom_colormap(len(node_cmap), node_cmap) + + node_attribute = _format_node_attribute(node_attribute, wn) + nodelist,nodecolor = zip(*node_attribute.items()) + + else: + nodelist = None + nodecolor = 'k' + + add_link_colorbar = add_colorbar + if link_attribute is not None: + + if isinstance(link_attribute, list): + if link_cmap is None: + link_cmap = ['red', 'red'] + add_link_colorbar = False + + if link_cmap is None: + link_cmap = plt.get_cmap('Spectral_r') + elif isinstance(link_cmap, list): + if len(link_cmap) == 1: + link_cmap = link_cmap*2 + link_cmap = custom_colormap(len(link_cmap), link_cmap) + + link_attribute = _format_link_attribute(link_attribute, wn) + + # Replace link_attribute dictionary defined as + # {link_name: attr} with {(start_node, end_node, link_name): attr} + attr = {} + for link_name, value in link_attribute.items(): + link = wn.get_link(link_name) + attr[(link.start_node_name, link.end_node_name, link_name)] = value + link_attribute = attr + + linklist,linkcolor = zip(*link_attribute.items()) + else: + linklist = None + linkcolor = 'k' + + if title is not None: + ax.set_title(title) + + edge_background = nx.draw_networkx_edges(G, pos, edge_color='grey', + width=0.5, ax=ax) + + nodes = nx.draw_networkx_nodes(G, pos, + nodelist=nodelist, node_color=nodecolor, node_size=node_size, + alpha=node_alpha, cmap=node_cmap, vmin=node_range[0], vmax = node_range[1], + linewidths=0, ax=ax) + edges = nx.draw_networkx_edges(G, pos, edgelist=linklist, arrows=directed, + edge_color=linkcolor, width=link_width, alpha=link_alpha, edge_cmap=link_cmap, + edge_vmin=link_range[0], edge_vmax=link_range[1], ax=ax) + if node_labels: + labels = dict(zip(wn.node_name_list, wn.node_name_list)) + nx.draw_networkx_labels(G, pos, labels, font_size=7, ax=ax) + if link_labels: + labels = {} + for link_name in wn.link_name_list: + link = wn.get_link(link_name) + labels[(link.start_node_name, link.end_node_name)] = link_name + nx.draw_networkx_edge_labels(G, pos, labels, font_size=7, ax=ax) + if add_node_colorbar and node_attribute: + clb = plt.colorbar(nodes, shrink=0.5, pad=0, ax=ax) + clb.ax.set_title(node_colorbar_label, fontsize=10) + if add_link_colorbar and link_attribute: + if link_range[0] is None: + vmin = min(link_attribute.values()) + else: + vmin = link_range[0] + if link_range[1] is None: + vmax = max(link_attribute.values()) + else: + vmax = link_range[1] + sm = plt.cm.ScalarMappable(cmap=link_cmap, norm=plt.Normalize(vmin=vmin, vmax=vmax)) + sm.set_array([]) + clb = plt.colorbar(sm, shrink=0.5, pad=0.05, ax=ax) + clb.ax.set_title(link_colorbar_label, fontsize=10) + + ax.axis('off') + + if filename: + plt.savefig(filename) + + if show_plot is True: + plt.show(block=False) + + return ax if __name__ == "__main__": From 1a7e0a593ca9e56cbb15c2348891e2983479ba86 Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 5 Nov 2024 10:05:22 -0500 Subject: [PATCH 086/118] clean up function and add directed functionality --- wntr/graphics/network.py | 43 +++++++++++++++++----------------------- 1 file changed, 18 insertions(+), 25 deletions(-) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index c8d12ce78..8ef9b396c 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -54,7 +54,6 @@ def _prepare_attribute(attribute, gdf): gdf["_attribute"] = attribute kwds["column"] = "_attribute" # if list, create new boolean column that captures which indices are in the list - # TODO need to check this with original behavior elif isinstance(attribute, list): gdf["_attribute"] = np.nan gdf.loc[gdf.index.isin(attribute), "_attribute"] = 1 @@ -70,12 +69,6 @@ def _prepare_attribute(attribute, gdf): kwds["color"] = "black" return kwds - - - - -# def _create_oriented_arrow(line, length=0.01) - def _format_node_attribute(node_attribute, wn): if isinstance(node_attribute, str): @@ -270,60 +263,60 @@ def plot_network( node_cbar_kwds["label"] = node_colorbar_label # plot nodes - each type is plotted separately to allow for different marker types - # plot junctions node_gdf[node_gdf.node_type == "Junction"].plot( ax=ax, aspect=aspect, zorder=3, legend_kwds=node_cbar_kwds, **node_kwds) # turn off legend for subsequent node plots node_kwds["legend"] = False - # plot tanks node_kwds["markersize"] = node_size * 2.0 node_gdf[node_gdf.node_type == "Tank"].plot( ax=ax, aspect=aspect, zorder=4, marker=tank_marker, **node_kwds) - # plot reservoirs node_kwds["markersize"] = node_size * 3.0 node_gdf[node_gdf.node_type == "Reservoir"].plot( ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, **node_kwds) - # plot pipes - # background + # plot links link_gdf.plot( ax=ax, aspect=aspect, zorder=1, **background_link_kwds) link_gdf.plot( ax=ax, aspect=aspect, zorder=2, legend_kwds=link_cbar_kwds, **link_kwds) - # plot pumps if len(wn_gis.pumps) >0: # wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) - wn_gis.pumps["midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) - wn_gis.pumps["angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) + wn_gis.pumps["_midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) + wn_gis.pumps["_angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) for idx , row in wn_gis.pumps.iterrows(): - x,y = row["midpoint"].x, row["midpoint"].y - angle = row["angle"] + x,y = row["_midpoint"].x, row["_midpoint"].y + angle = row["_angle"] ax.scatter(x,y, color="black", s=100, marker=(3, 0, angle-90)) - # ax.scatter(x,y, color="purple", s=100, marker=arrow_marker) - # plot valves if len(wn_gis.valves) >0: - wn_gis.valves["midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) - wn_gis.valves["angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) + wn_gis.valves["_midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) + wn_gis.valves["_angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) for idx , row in wn_gis.valves.iterrows(): - x,y = row["midpoint"].x, row["midpoint"].y - angle = row["angle"] + x,y = row["_midpoint"].x, row["_midpoint"].y + angle = row["_angle"] ax.scatter(x,y, color="black", s=200, marker=(2,0, angle)) - # annotation if node_labels: for x, y, label in zip(wn_gis.junctions.geometry.x, wn_gis.junctions.geometry.y, wn_gis.junctions.index): ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") + if link_labels: - # compute midpoints midpoints = wn_gis.pipes.geometry.apply(lambda x: x.interpolate(0.5, normalized=True)) for x, y, label in zip(midpoints.geometry.x, midpoints.geometry.y, wn_gis.pipes.index): ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") + + if directed: + link_gdf["_midpoint"] = link_gdf.geometry.interpolate(0.5, normalized=True) + link_gdf["_angle"] = link_gdf.apply(lambda row: _get_angle(row.geometry), axis=1) + for idx , row in link_gdf.iterrows(): + x,y = row["_midpoint"].x, row["_midpoint"].y + angle = row["_angle"] + ax.scatter(x,y, color="black", s=200, marker=(3,0, angle-90)) ax.axis('off') From 08f9ee9b824d4029a525b67272aaa1da5707c730 Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 5 Nov 2024 10:05:54 -0500 Subject: [PATCH 087/118] add comparison test for plotting --- wntr/tests/test_graphics.py | 62 +++++++++++++++++++++++++++++++++++++ 1 file changed, 62 insertions(+) diff --git a/wntr/tests/test_graphics.py b/wntr/tests/test_graphics.py index 20ce5c055..a049c15ad 100644 --- a/wntr/tests/test_graphics.py +++ b/wntr/tests/test_graphics.py @@ -9,6 +9,7 @@ import matplotlib.pylab as plt from wntr.graphics.color import custom_colormap import pandas as pd +import numpy as np import wntr testdir = dirname(abspath(str(__file__))) @@ -119,6 +120,67 @@ def test_plot_network5(self): plt.close() self.assertTrue(isfile(filename)) + + def test_plot_network_options(self): + # NOTE:to compare with the old plot_network set compare=True. + # this should be set to false for regular testing + compare = False + + inp_file = join(ex_datadir, "Net3.inp") + wn = wntr.network.WaterNetworkModel(inp_file) + + random_node_values = pd.Series( + np.random.rand(len(wn.node_name_list)), index=wn.node_name_list) + random_link_values = pd.Series( + np.random.rand(len(wn.link_name_list)), index=wn.link_name_list) + random_node_dict_subset = dict(random_node_values.iloc[:10]) + random_link_dict_subset = dict(random_link_values.iloc[:10]) + node_list = list(wn.node_name_list[:10]) + link_list = list(wn.link_name_list[:10]) + + kwarg_list = [ + {"node_attribute": "elevation", + "node_range": [0,1], + "node_alpha": 0.5, + "node_colorbar_label": "test_label"}, + {"link_attribute": "diameter", + "link_range": [0,1], + "link_alpha": 0.5, + "link_colorbar_label": "test_label"}, + {"node_labels": True, + "link_labels": True}, + {"node_attribute": "elevation", + "add_colorbar": False}, + {"link_attribute": "diameter", + "add_colorbar": False}, + {"node_attribute": node_list}, + {"node_attribute": random_node_values}, + {"node_attribute": random_node_dict_subset}, + {"link_attribute": link_list}, + {"link_attribute": random_link_values}, + {"link_attribute": random_link_dict_subset}, + {"directed": True} + ] + + for kwargs in kwarg_list: + filename = abspath(join(testdir, "plot_network_options.png")) + if isfile(filename): + os.remove(filename) + if compare: + fig, ax = plt.subplots(1,2) + wntr.graphics.plot_network(wn, ax=ax[0], title="GIS plot_network", **kwargs) + wntr.graphics.plot_network_nx(wn, ax=ax[1], title="NX plot_network", **kwargs) + fig.savefig(filename, format="png") + plt.close(fig) + else: + plt.figure() + wntr.graphics.plot_network(wn, **kwargs) + plt.savefig(filename, format="png") + plt.close() + + self.assertTrue(isfile(filename)) + os.remove(filename) + def test_plot_interactive_network1(self): From 1eaaade86bc29c000d51a518c4a0d143ccdd7f5b Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 5 Nov 2024 11:56:18 -0500 Subject: [PATCH 088/118] handle cbar manually to avoid error in earthquake demo --- wntr/graphics/network.py | 39 +++++++++++++++++++++++++++------------ 1 file changed, 27 insertions(+), 12 deletions(-) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index 8ef9b396c..a974b7c2f 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -9,6 +9,7 @@ import matplotlib.pyplot as plt import matplotlib.path as mpath from matplotlib import animation +import matplotlib as mpl import numpy as np try: @@ -218,14 +219,15 @@ def plot_network( if isinstance(link_attribute, list): link_kwds["column"] = "_attribute" link_kwds["cmap"] = custom_colormap(2,("red", "red")) - link_kwds["legend"] = False + link_cbar = False elif isinstance(link_attribute, (dict, pd.Series, str)): link_kwds["cmap"] = link_cmap link_kwds["vmin"] = link_range[0] link_kwds["vmax"] = link_range[1] - link_kwds["legend"] = add_colorbar + link_cbar = add_colorbar else: link_kwds["color"] = "black" + link_cbar = False link_kwds["linewidth"] = link_width link_kwds["alpha"] = link_alpha @@ -245,15 +247,16 @@ def plot_network( if isinstance(node_attribute, list): node_kwds["cmap"] = custom_colormap(2,("red", "red")) - node_kwds["legend"] = False + node_cbar = False elif isinstance(node_attribute, (dict, pd.Series, str)): node_kwds["cmap"] = node_cmap node_kwds["vmin"] = node_range[0] node_kwds["vmax"] = node_range[1] - node_kwds["legend"] = add_colorbar + node_cbar = add_colorbar else: node_kwds["color"] = "black" - + node_cbar = False + node_kwds["alpha"] = node_alpha node_kwds["markersize"] = node_size @@ -264,25 +267,37 @@ def plot_network( # plot nodes - each type is plotted separately to allow for different marker types node_gdf[node_gdf.node_type == "Junction"].plot( - ax=ax, aspect=aspect, zorder=3, legend_kwds=node_cbar_kwds, **node_kwds) + ax=ax, aspect=aspect, zorder=3, legend=False, **node_kwds) - # turn off legend for subsequent node plots - node_kwds["legend"] = False + if node_cbar: + norm = plt.Normalize(vmin=node_kwds["vmin"], vmax=node_kwds["vmax"],) + sm = mpl.cm.ScalarMappable(cmap=node_kwds["cmap"], norm=norm) + sm.set_array([]) + + node_cbar = ax.figure.colorbar(sm, ax=ax, **node_cbar_kwds) node_kwds["markersize"] = node_size * 2.0 node_gdf[node_gdf.node_type == "Tank"].plot( - ax=ax, aspect=aspect, zorder=4, marker=tank_marker, **node_kwds) + ax=ax, aspect=aspect, zorder=4, marker=tank_marker, legend=False, **node_kwds) node_kwds["markersize"] = node_size * 3.0 node_gdf[node_gdf.node_type == "Reservoir"].plot( - ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, **node_kwds) + ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, legend=False, **node_kwds) # plot links link_gdf.plot( - ax=ax, aspect=aspect, zorder=1, **background_link_kwds) + ax=ax, aspect=aspect, zorder=1, legend=False, **background_link_kwds) link_gdf.plot( - ax=ax, aspect=aspect, zorder=2, legend_kwds=link_cbar_kwds, **link_kwds) + ax=ax, aspect=aspect, zorder=2, legend=False, **link_kwds) + + # Create a ScalarMappable for the colorbar + if link_cbar: + norm = plt.Normalize(vmin=link_kwds["vmin"], vmax=link_kwds["vmax"]) + sm = mpl.cm.ScalarMappable(cmap=link_kwds["cmap"], norm=norm) + sm.set_array([]) # Needed to create an empty array for the colorbar + + ax.figure.colorbar(sm, ax=ax, **link_cbar_kwds) # Adjusts size and position of colorbar if len(wn_gis.pumps) >0: # wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) From 80eaf964af563204b434f935b56b5c0d608a5c03 Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 5 Nov 2024 13:45:34 -0500 Subject: [PATCH 089/118] extend test cases --- wntr/tests/test_graphics.py | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/wntr/tests/test_graphics.py b/wntr/tests/test_graphics.py index a049c15ad..112797fa6 100644 --- a/wntr/tests/test_graphics.py +++ b/wntr/tests/test_graphics.py @@ -7,6 +7,7 @@ import networkx as nx import matplotlib.pylab as plt +import matplotlib from wntr.graphics.color import custom_colormap import pandas as pd import numpy as np @@ -126,6 +127,9 @@ def test_plot_network_options(self): # this should be set to false for regular testing compare = False + cmap = matplotlib.colormaps['viridis'] + + inp_file = join(ex_datadir, "Net3.inp") wn = wntr.network.WaterNetworkModel(inp_file) @@ -133,6 +137,8 @@ def test_plot_network_options(self): np.random.rand(len(wn.node_name_list)), index=wn.node_name_list) random_link_values = pd.Series( np.random.rand(len(wn.link_name_list)), index=wn.link_name_list) + random_pipe_values = pd.Series( + np.random.rand(len(wn.pipe_name_list)), index=wn.pipe_name_list) random_node_dict_subset = dict(random_node_values.iloc[:10]) random_link_dict_subset = dict(random_link_values.iloc[:10]) node_list = list(wn.node_name_list[:10]) @@ -159,7 +165,13 @@ def test_plot_network_options(self): {"link_attribute": link_list}, {"link_attribute": random_link_values}, {"link_attribute": random_link_dict_subset}, - {"directed": True} + {"directed": True}, + {"link_attribute": random_pipe_values, + "node_size": 0, + "link_cmap": cmap, + "link_range": [0,1], + "link_width": 1.5} + ] for kwargs in kwarg_list: From be18e35860fa43f52211bc6bd14433609b58bf00 Mon Sep 17 00:00:00 2001 From: David Hart Date: Mon, 18 Nov 2024 10:21:29 -0700 Subject: [PATCH 090/118] Updates to MSX documentation --- documentation/waterquality_msx.rst | 12 ++++++------ examples/demos/multisource-cl-decay.ipynb | 6 +++--- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/documentation/waterquality_msx.rst b/documentation/waterquality_msx.rst index bbb4826a9..51ce22b97 100644 --- a/documentation/waterquality_msx.rst +++ b/documentation/waterquality_msx.rst @@ -64,7 +64,7 @@ There are two different types of coefficients that can be used in reaction expre and **parameters**. Constants have a single value in every expression. Parameters have a global value that is used by default, but which can be modified on a per-pipe or per-tank basis. -Pre-defined hydraulic variable can be found in +Pre-defined hydraulic variables can be found in the EPANET-MSX documentation, and are also defined in WNTR as :attr:`~wntr.msx.base.HYDRAULIC_VARIABLES`. Reactions @@ -80,11 +80,11 @@ WNTR also contains a library of MSX models that are accessed through the :class:`~wntr.msx.library.ReactionLibrary`. This includes the following models: -* `Arsenic oxidation/adsorption `_ :cite:p:`shang2023` -* `Batch chloramine decay `_ -* `Lead plumbosolvency `_ :cite:p:`bwms20` -* `Nicotine/chlorine reaction `_ -* `Nicotine/chlorine reaction with reactive intermediate `_ +* `Arsenic oxidation/adsorption `_ :cite:p:`shang2023` +* `Batch chloramine decay `_ +* `Lead plumbosolvency `_ :cite:p:`bwms20` +* `Nicotine/chlorine reaction `_ +* `Nicotine/chlorine reaction with reactive intermediate `_ The models are stored in JSON format. Additional models can be loaded into the library by setting a user specified path. diff --git a/examples/demos/multisource-cl-decay.ipynb b/examples/demos/multisource-cl-decay.ipynb index 6bf6db693..ad0da5885 100644 --- a/examples/demos/multisource-cl-decay.ipynb +++ b/examples/demos/multisource-cl-decay.ipynb @@ -78,7 +78,7 @@ "The amount of free chlorine is based on the rate reaction:\n", "\n", "$$\n", - " \\frac{d}{dt}\\mathrm{Cl_2} = -(k_1 T + k_2(1-T)) \\mathrm{Cl_2}\n", + " \\frac{d}{dt}\\mathrm{Cl_2} = -(k_1 T_1 + k_2(1-T_1)) \\mathrm{Cl_2}\n", "$$" ] }, @@ -370,7 +370,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -384,7 +384,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.12.5" } }, "nbformat": 4, From d0d59f46ca7ff3d27079787f6e068d049f1fb11a Mon Sep 17 00:00:00 2001 From: kbonney Date: Wed, 20 Nov 2024 14:02:50 -0500 Subject: [PATCH 091/118] fix bug caused by node_type no longer provided by GIS geodataframes, fix bugs pointed out by meghna: colorbar scale and spacing, reduce directed arrow size, add option for pumps/valves (default to not plot), --- wntr/graphics/network.py | 84 +++++++++++++++++++++++++++------------- 1 file changed, 57 insertions(+), 27 deletions(-) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index a974b7c2f..6634cc226 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -6,6 +6,7 @@ import math import networkx as nx import pandas as pd +import matplotlib import matplotlib.pyplot as plt import matplotlib.path as mpath from matplotlib import animation @@ -97,7 +98,7 @@ def plot_network( node_size=20, node_range=None, node_alpha=1, node_cmap=None, node_labels=False, link_width=1, link_range=None, link_alpha=1, link_cmap=None, link_labels=False, add_colorbar=True, node_colorbar_label="", link_colorbar_label="", - directed=False, ax=None, show_plot=True, filename=None): + directed=False, plot_valves=False, plot_pumps=False, ax=None, show_plot=True, filename=None): """ Plot network graphic @@ -210,20 +211,33 @@ def plot_network( node_range = (None, None) wn_gis = wn.to_gis() + # add node_type so that node assets can be plotted separately + wn_gis.junctions["node_type"] = "Junction" + wn_gis.tanks["node_type"] = "Tank" + wn_gis.reservoirs["node_type"] = "Reservoir" link_gdf = pd.concat((wn_gis.pipes, wn_gis.pumps, wn_gis.valves)) node_gdf = pd.concat((wn_gis.junctions, wn_gis.tanks, wn_gis.reservoirs)) # process link attribute link_kwds = _prepare_attribute(link_attribute, link_gdf) + # handle cbar/cmap if isinstance(link_attribute, list): - link_kwds["column"] = "_attribute" link_kwds["cmap"] = custom_colormap(2,("red", "red")) link_cbar = False elif isinstance(link_attribute, (dict, pd.Series, str)): link_kwds["cmap"] = link_cmap - link_kwds["vmin"] = link_range[0] - link_kwds["vmax"] = link_range[1] + + link_attribute_values = link_gdf[link_kwds["column"]] + if link_range[0] is None: + link_kwds["vmin"] = np.nanmin(link_attribute_values) + else: + link_kwds["vmin"] = link_range[0] + if link_range[1] is None: + link_kwds["vmax"] = np.nanmax(link_attribute_values) + else: + link_kwds["vmax"] = link_range[1] + link_cbar = add_colorbar else: link_kwds["color"] = "black" @@ -239,7 +253,7 @@ def plot_network( link_cbar_kwds = {} link_cbar_kwds["shrink"] = 0.5 - link_cbar_kwds["pad"] = 0.0 + link_cbar_kwds["pad"] = 0.05 link_cbar_kwds["label"] = link_colorbar_label # process node attribute @@ -250,8 +264,17 @@ def plot_network( node_cbar = False elif isinstance(node_attribute, (dict, pd.Series, str)): node_kwds["cmap"] = node_cmap - node_kwds["vmin"] = node_range[0] - node_kwds["vmax"] = node_range[1] + + node_attribute_values = node_gdf[node_kwds["column"]] + if node_range[0] is None: + node_kwds["vmin"] = np.nanmin(node_attribute_values) + else: + node_kwds["vmin"] = node_range[0] + if node_range[1] is None: + node_kwds["vmax"] = np.nanmax(node_attribute_values) + else: + node_kwds["vmax"] = node_range[1] + node_cbar = add_colorbar else: node_kwds["color"] = "black" @@ -267,39 +290,39 @@ def plot_network( # plot nodes - each type is plotted separately to allow for different marker types node_gdf[node_gdf.node_type == "Junction"].plot( - ax=ax, aspect=aspect, zorder=3, legend=False, **node_kwds) + ax=ax, aspect=aspect, zorder=3, label="Junctions", legend=False, **node_kwds) - if node_cbar: - norm = plt.Normalize(vmin=node_kwds["vmin"], vmax=node_kwds["vmax"],) - sm = mpl.cm.ScalarMappable(cmap=node_kwds["cmap"], norm=norm) - sm.set_array([]) - - node_cbar = ax.figure.colorbar(sm, ax=ax, **node_cbar_kwds) node_kwds["markersize"] = node_size * 2.0 node_gdf[node_gdf.node_type == "Tank"].plot( - ax=ax, aspect=aspect, zorder=4, marker=tank_marker, legend=False, **node_kwds) + ax=ax, aspect=aspect, zorder=4, marker=tank_marker, label="Tanks", legend=False, **node_kwds) node_kwds["markersize"] = node_size * 3.0 node_gdf[node_gdf.node_type == "Reservoir"].plot( - ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, legend=False, **node_kwds) + ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, label="Reservoirs", legend=False, **node_kwds) + + if node_cbar: + sm = mpl.cm.ScalarMappable(cmap=node_kwds["cmap"]) + sm.set_clim(node_kwds["vmin"], node_kwds["vmax"]) + + node_cbar = ax.figure.colorbar(sm, ax=ax, **node_cbar_kwds) # plot links + # background link_gdf.plot( ax=ax, aspect=aspect, zorder=1, legend=False, **background_link_kwds) + # main plot link_gdf.plot( ax=ax, aspect=aspect, zorder=2, legend=False, **link_kwds) - # Create a ScalarMappable for the colorbar if link_cbar: - norm = plt.Normalize(vmin=link_kwds["vmin"], vmax=link_kwds["vmax"]) - sm = mpl.cm.ScalarMappable(cmap=link_kwds["cmap"], norm=norm) - sm.set_array([]) # Needed to create an empty array for the colorbar + sm = mpl.cm.ScalarMappable(cmap=link_kwds["cmap"]) + sm.set_clim(link_kwds["vmin"], link_kwds["vmax"]) - ax.figure.colorbar(sm, ax=ax, **link_cbar_kwds) # Adjusts size and position of colorbar + link_cbar = ax.figure.colorbar(sm, ax=ax, **link_cbar_kwds) - if len(wn_gis.pumps) >0: + if plot_pumps & (len(wn_gis.pumps) > 0): # wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) wn_gis.pumps["_midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) wn_gis.pumps["_angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) @@ -308,7 +331,7 @@ def plot_network( angle = row["_angle"] ax.scatter(x,y, color="black", s=100, marker=(3, 0, angle-90)) - if len(wn_gis.valves) >0: + if plot_valves & (len(wn_gis.valves) > 0): wn_gis.valves["_midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) wn_gis.valves["_angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) for idx , row in wn_gis.valves.iterrows(): @@ -317,12 +340,19 @@ def plot_network( ax.scatter(x,y, color="black", s=200, marker=(2,0, angle)) if node_labels: - for x, y, label in zip(wn_gis.junctions.geometry.x, wn_gis.junctions.geometry.y, wn_gis.junctions.index): + for x, y, label in zip(node_gdf.geometry.x, node_gdf.geometry.y, node_gdf.index): ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") + # for x, y, label in zip(wn_gis.tanks.geometry.x, wn_gis.tanks.geometry.y, wn_gis.tanks.index): + # ax.annotate(label, xy=(x, y)) + # for x, y, label in zip(wn_gis.junctions.geometry.x, wn_gis.junctions.geometry.y, wn_gis.junctions.index): + # ax.annotate(label, xy=(x, y)) if link_labels: - midpoints = wn_gis.pipes.geometry.apply(lambda x: x.interpolate(0.5, normalized=True)) - for x, y, label in zip(midpoints.geometry.x, midpoints.geometry.y, wn_gis.pipes.index): + # midpoints = wn_gis.pipes.geometry.apply(lambda x: x.interpolate(0.5, normalized=True)) + # for x, y, label in zip(midpoints.geometry.x, midpoints.geometry.y, wn_gis.pipes.index): + # ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") + midpoints = link_gdf.geometry.apply(lambda x: x.interpolate(0.5, normalized=True)) + for x, y, label in zip(midpoints.geometry.x, midpoints.geometry.y, link_gdf.index): ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") if directed: @@ -331,7 +361,7 @@ def plot_network( for idx , row in link_gdf.iterrows(): x,y = row["_midpoint"].x, row["_midpoint"].y angle = row["_angle"] - ax.scatter(x,y, color="black", s=200, marker=(3,0, angle-90)) + ax.scatter(x,y, color="black", s=50, marker=(3,0, angle-90)) ax.axis('off') From 6e3fcf6903839de37aba669ad4c5ba81ed07ac4f Mon Sep 17 00:00:00 2001 From: kbonney Date: Wed, 20 Nov 2024 14:03:56 -0500 Subject: [PATCH 092/118] add extra test cases, remove unneccesary calls to plt.figure --- wntr/tests/test_graphics.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/wntr/tests/test_graphics.py b/wntr/tests/test_graphics.py index 112797fa6..8cf28e708 100644 --- a/wntr/tests/test_graphics.py +++ b/wntr/tests/test_graphics.py @@ -27,7 +27,6 @@ def test_plot_network1(self): inp_file = join(ex_datadir, "Net6.inp") wn = wntr.network.WaterNetworkModel(inp_file) - plt.figure() wntr.graphics.plot_network(wn) plt.savefig(filename, format="png") plt.close() @@ -42,7 +41,7 @@ def test_plot_network2(self): filename = abspath(join(testdir, "plot_network2_undirected.png")) if isfile(filename): os.remove(filename) - plt.figure() + wntr.graphics.plot_network( wn, node_attribute="elevation", link_attribute="length" ) @@ -55,7 +54,7 @@ def test_plot_network2(self): filename = abspath(join(testdir, "plot_network2_directed.png")) if isfile(filename): os.remove(filename) - plt.figure() + wntr.graphics.plot_network( wn, node_attribute="elevation", link_attribute="length", directed=True ) @@ -72,7 +71,6 @@ def test_plot_network3(self): inp_file = join(ex_datadir, "Net1.inp") wn = wntr.network.WaterNetworkModel(inp_file) - plt.figure() wntr.graphics.plot_network( wn, node_attribute=["11", "21"], @@ -92,7 +90,6 @@ def test_plot_network4(self): inp_file = join(ex_datadir, "Net1.inp") wn = wntr.network.WaterNetworkModel(inp_file) - plt.figure() wntr.graphics.plot_network( wn, node_attribute={"11": 5, "21": 10}, @@ -113,7 +110,6 @@ def test_plot_network5(self): wn = wntr.network.WaterNetworkModel(inp_file) pop = wntr.metrics.population(wn) - plt.figure() wntr.graphics.plot_network( wn, node_attribute=pop, node_range=[0, 500], title="Population" ) @@ -125,7 +121,7 @@ def test_plot_network5(self): def test_plot_network_options(self): # NOTE:to compare with the old plot_network set compare=True. # this should be set to false for regular testing - compare = False + compare = True cmap = matplotlib.colormaps['viridis'] @@ -145,6 +141,10 @@ def test_plot_network_options(self): link_list = list(wn.link_name_list[:10]) kwarg_list = [ + {"node_attribute": "elevation", + "node_range": [0,20], + "node_alpha": 0.5, + "node_colorbar_label": "test_label"}, {"node_attribute": "elevation", "node_range": [0,1], "node_alpha": 0.5, @@ -170,8 +170,9 @@ def test_plot_network_options(self): "node_size": 0, "link_cmap": cmap, "link_range": [0,1], - "link_width": 1.5} - + "link_width": 1.5}, + {"plot_pumps": True, + "plot_valves": False} ] for kwargs in kwarg_list: @@ -185,7 +186,6 @@ def test_plot_network_options(self): fig.savefig(filename, format="png") plt.close(fig) else: - plt.figure() wntr.graphics.plot_network(wn, **kwargs) plt.savefig(filename, format="png") plt.close() From a3b25761a918cb441a2fbc404cd8f1d822c3fd54 Mon Sep 17 00:00:00 2001 From: kbonney Date: Wed, 20 Nov 2024 14:16:19 -0500 Subject: [PATCH 093/118] setting compare to false --- wntr/tests/test_graphics.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/wntr/tests/test_graphics.py b/wntr/tests/test_graphics.py index 8cf28e708..301ed77f9 100644 --- a/wntr/tests/test_graphics.py +++ b/wntr/tests/test_graphics.py @@ -121,7 +121,7 @@ def test_plot_network5(self): def test_plot_network_options(self): # NOTE:to compare with the old plot_network set compare=True. # this should be set to false for regular testing - compare = True + compare = False cmap = matplotlib.colormaps['viridis'] From c267ac194620bd9d89cf0a9c86026f350f8da16d Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 26 Nov 2024 10:26:34 -0500 Subject: [PATCH 094/118] add alpha to colorbars --- wntr/graphics/network.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index 6634cc226..e61724bb5 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -255,6 +255,7 @@ def plot_network( link_cbar_kwds["shrink"] = 0.5 link_cbar_kwds["pad"] = 0.05 link_cbar_kwds["label"] = link_colorbar_label + link_cbar_kwds["alpha"] = link_alpha # process node attribute node_kwds = _prepare_attribute(node_attribute, node_gdf) @@ -286,6 +287,7 @@ def plot_network( node_cbar_kwds = {} node_cbar_kwds["shrink"] = 0.5 node_cbar_kwds["pad"] = 0.0 + node_cbar_kwds["alpha"] = node_alpha node_cbar_kwds["label"] = node_colorbar_label # plot nodes - each type is plotted separately to allow for different marker types From 664e4a56804cd5fcd7b06d33c28570901046b757 Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 26 Nov 2024 14:17:50 -0800 Subject: [PATCH 095/118] fix color bug on mpl 3.8, change plot_valve/pumps kwarg name, set aspect to "equal" --- wntr/graphics/network.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index e61724bb5..df9100c3c 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -98,7 +98,7 @@ def plot_network( node_size=20, node_range=None, node_alpha=1, node_cmap=None, node_labels=False, link_width=1, link_range=None, link_alpha=1, link_cmap=None, link_labels=False, add_colorbar=True, node_colorbar_label="", link_colorbar_label="", - directed=False, plot_valves=False, plot_pumps=False, ax=None, show_plot=True, filename=None): + directed=False, show_valve_direction=False, show_pump_direction=False, ax=None, show_plot=True, filename=None): """ Plot network graphic @@ -195,7 +195,7 @@ def plot_network( if title is not None: ax.set_title(title) - aspect = None + aspect = "equal" tank_marker = "D" reservoir_marker = "s" @@ -223,7 +223,7 @@ def plot_network( # handle cbar/cmap if isinstance(link_attribute, list): - link_kwds["cmap"] = custom_colormap(2,("red", "red")) + link_kwds["cmap"] = custom_colormap(2,["red", "red"]) link_cbar = False elif isinstance(link_attribute, (dict, pd.Series, str)): link_kwds["cmap"] = link_cmap @@ -261,7 +261,7 @@ def plot_network( node_kwds = _prepare_attribute(node_attribute, node_gdf) if isinstance(node_attribute, list): - node_kwds["cmap"] = custom_colormap(2,("red", "red")) + node_kwds["cmap"] = custom_colormap(2,["red", "red"]) node_cbar = False elif isinstance(node_attribute, (dict, pd.Series, str)): node_kwds["cmap"] = node_cmap @@ -324,23 +324,23 @@ def plot_network( link_cbar = ax.figure.colorbar(sm, ax=ax, **link_cbar_kwds) - if plot_pumps & (len(wn_gis.pumps) > 0): + if show_pump_direction & (len(wn_gis.pumps) > 0): # wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) wn_gis.pumps["_midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) wn_gis.pumps["_angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) for idx , row in wn_gis.pumps.iterrows(): x,y = row["_midpoint"].x, row["_midpoint"].y angle = row["_angle"] - ax.scatter(x,y, color="black", s=100, marker=(3, 0, angle-90)) + ax.scatter(x,y, color="black", s=50, marker=(3, 0, angle-90)) - if plot_valves & (len(wn_gis.valves) > 0): + if show_valve_direction & (len(wn_gis.valves) > 0): wn_gis.valves["_midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) wn_gis.valves["_angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) for idx , row in wn_gis.valves.iterrows(): x,y = row["_midpoint"].x, row["_midpoint"].y angle = row["_angle"] - ax.scatter(x,y, color="black", s=200, marker=(2,0, angle)) - + ax.scatter(x,y, color="black", s=50, marker=(3, 0, angle-90)) + if node_labels: for x, y, label in zip(node_gdf.geometry.x, node_gdf.geometry.y, node_gdf.index): ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") From 64017163a83bb81f195b367abc4ac824d2f5aac3 Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 26 Nov 2024 14:26:34 -0800 Subject: [PATCH 096/118] fix test case to adjust for new kwarg names --- wntr/tests/test_graphics.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/wntr/tests/test_graphics.py b/wntr/tests/test_graphics.py index 301ed77f9..9151918a6 100644 --- a/wntr/tests/test_graphics.py +++ b/wntr/tests/test_graphics.py @@ -171,8 +171,8 @@ def test_plot_network_options(self): "link_cmap": cmap, "link_range": [0,1], "link_width": 1.5}, - {"plot_pumps": True, - "plot_valves": False} + {"show_pump_direction": True, + "show_pump_direction": True} ] for kwargs in kwarg_list: From 105d243a53c0a3e692ab11777ccdc75dda0047dc Mon Sep 17 00:00:00 2001 From: kbonney Date: Mon, 2 Dec 2024 06:06:00 -0800 Subject: [PATCH 097/118] add legend and plot all nodes regardless of node_attribute --- wntr/graphics/network.py | 27 ++++++++++++++++++++------- 1 file changed, 20 insertions(+), 7 deletions(-) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index df9100c3c..0dbc179a4 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -98,7 +98,7 @@ def plot_network( node_size=20, node_range=None, node_alpha=1, node_cmap=None, node_labels=False, link_width=1, link_range=None, link_alpha=1, link_cmap=None, link_labels=False, add_colorbar=True, node_colorbar_label="", link_colorbar_label="", - directed=False, show_valve_direction=False, show_pump_direction=False, ax=None, show_plot=True, filename=None): + directed=False, legend=False, show_valve_direction=False, show_pump_direction=False, ax=None, show_plot=True, filename=None): """ Plot network graphic @@ -289,19 +289,24 @@ def plot_network( node_cbar_kwds["pad"] = 0.0 node_cbar_kwds["alpha"] = node_alpha node_cbar_kwds["label"] = node_colorbar_label - + + # # prepare legend item list + # legend_items = [] + missing_node_kwds={"color": "black", "markersize": node_size / 2} # TODO: customize per element type + missing_link_kwds={"color": "black", "linewidth": link_width / 2} + # plot nodes - each type is plotted separately to allow for different marker types node_gdf[node_gdf.node_type == "Junction"].plot( - ax=ax, aspect=aspect, zorder=3, label="Junctions", legend=False, **node_kwds) - + ax=ax, aspect=aspect, zorder=3, label="Junctions", legend=False, missing_kwds=missing_node_kwds, **node_kwds) + # legend_items.append(plt.Line2D([0], [0], marker='o', color='w', label='Junctions', markerfacecolor='blue', markersize=6)) node_kwds["markersize"] = node_size * 2.0 node_gdf[node_gdf.node_type == "Tank"].plot( - ax=ax, aspect=aspect, zorder=4, marker=tank_marker, label="Tanks", legend=False, **node_kwds) + ax=ax, aspect=aspect, zorder=4, marker=tank_marker, label="Tanks", legend=False, missing_kwds=missing_node_kwds, **node_kwds) node_kwds["markersize"] = node_size * 3.0 node_gdf[node_gdf.node_type == "Reservoir"].plot( - ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, label="Reservoirs", legend=False, **node_kwds) + ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, label="Reservoirs", legend=False, missing_kwds=missing_node_kwds,**node_kwds) if node_cbar: sm = mpl.cm.ScalarMappable(cmap=node_kwds["cmap"]) @@ -316,7 +321,7 @@ def plot_network( # main plot link_gdf.plot( - ax=ax, aspect=aspect, zorder=2, legend=False, **link_kwds) + ax=ax, aspect=aspect, zorder=2, legend=False, missing_kwds=missing_link_kwds, **link_kwds) if link_cbar: sm = mpl.cm.ScalarMappable(cmap=link_kwds["cmap"]) @@ -364,6 +369,14 @@ def plot_network( x,y = row["_midpoint"].x, row["_midpoint"].y angle = row["_angle"] ax.scatter(x,y, color="black", s=50, marker=(3,0, angle-90)) + + # NOTE: The coloring on the symbols will change based on the colors of the underlying object. + # If this isn't desired behavior, handles and labels can be build manually using: + # handle = plt.Line2D([0], [0], marker='o', color='w', label='Junctions', markerfacecolor='black', markersize=6) + if legend: + handles, labels = ax.get_legend_handles_labels() + ax.legend(handles, labels, loc='upper right', title="Legend") + ax.axis('off') From c8f9fd5b9007a3d9c6b0d3cf8d6bce1b0c084555 Mon Sep 17 00:00:00 2001 From: kbonney Date: Mon, 2 Dec 2024 06:06:24 -0800 Subject: [PATCH 098/118] add additional tests --- wntr/tests/test_graphics.py | 52 ++++++++++++++++++++++++++++++++++--- 1 file changed, 49 insertions(+), 3 deletions(-) diff --git a/wntr/tests/test_graphics.py b/wntr/tests/test_graphics.py index 9151918a6..1ed01c659 100644 --- a/wntr/tests/test_graphics.py +++ b/wntr/tests/test_graphics.py @@ -117,6 +117,52 @@ def test_plot_network5(self): plt.close() self.assertTrue(isfile(filename)) + + def test_plot_network6(self): + # pumps/valves + filename = abspath(join(testdir, "plot_network6.png")) + if isfile(filename): + os.remove(filename) + + inp_file = join(ex_datadir, "Net6.inp") + wn = wntr.network.WaterNetworkModel(inp_file) + + # verify that direction points away from start node + start_nodes = [] + for link_name in wn.pump_name_list+wn.valve_name_list: + link = wn.get_link(link_name) + start_nodes.append(link.start_node_name) + + # pump=0, valve=1 + link_type = pd.Series(0, index=wn.pump_name_list+wn.valve_name_list) + link_type[wn.valve_name_list] = 1 + + wntr.graphics.plot_network( + wn, node_attribute=start_nodes, link_attribute=link_type, + show_pump_direction=True, show_valve_direction=True + ) + plt.savefig(filename, format="png") + plt.close() + + self.assertTrue(isfile(filename)) + + def test_plot_network7(self): + # legend + filename = abspath(join(testdir, "plot_network7.png")) + if isfile(filename): + os.remove(filename) + + inp_file = join(ex_datadir, "Net6.inp") + wn = wntr.network.WaterNetworkModel(inp_file) + + wntr.graphics.plot_network( + wn, node_attribute="elevation", link_attribute="diameter", + add_colorbar=True, legend=True + ) + plt.savefig(filename, format="png") + plt.close() + + self.assertTrue(isfile(filename)) def test_plot_network_options(self): # NOTE:to compare with the old plot_network set compare=True. @@ -126,7 +172,7 @@ def test_plot_network_options(self): cmap = matplotlib.colormaps['viridis'] - inp_file = join(ex_datadir, "Net3.inp") + inp_file = join(ex_datadir, "Net6.inp") wn = wntr.network.WaterNetworkModel(inp_file) random_node_values = pd.Series( @@ -171,8 +217,8 @@ def test_plot_network_options(self): "link_cmap": cmap, "link_range": [0,1], "link_width": 1.5}, - {"show_pump_direction": True, - "show_pump_direction": True} + # {"show_pump_direction": True, + # "show_pump_direction": True} ] for kwargs in kwarg_list: From 0558ff8824b96500e6fa770abf47a3a6284b1bdb Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 3 Dec 2024 09:52:34 -0500 Subject: [PATCH 099/118] remove old plot network code, clean up plot network, add default colorbar label when passing a str for attribute, fix missingkwds markersize --- wntr/graphics/__init__.py | 2 +- wntr/graphics/network.py | 271 ++++---------------------------------- 2 files changed, 26 insertions(+), 247 deletions(-) diff --git a/wntr/graphics/__init__.py b/wntr/graphics/__init__.py index 7238bd7ea..b0d086674 100644 --- a/wntr/graphics/__init__.py +++ b/wntr/graphics/__init__.py @@ -1,7 +1,7 @@ """ The wntr.graphics package contains graphic functions """ -from wntr.graphics.network import plot_network, plot_network_nx, plot_interactive_network, plot_leaflet_network, network_animation +from wntr.graphics.network import plot_network, plot_interactive_network, plot_leaflet_network, network_animation from wntr.graphics.layer import plot_valve_layer from wntr.graphics.curve import plot_fragility_curve, plot_pump_curve, plot_tank_volume_curve from wntr.graphics.color import custom_colormap, random_colormap diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index 0dbc179a4..2433b0003 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -6,7 +6,6 @@ import math import networkx as nx import pandas as pd -import matplotlib import matplotlib.pyplot as plt import matplotlib.path as mpath from matplotlib import animation @@ -97,8 +96,8 @@ def plot_network( wn, node_attribute=None, link_attribute=None, title=None, node_size=20, node_range=None, node_alpha=1, node_cmap=None, node_labels=False, link_width=1, link_range=None, link_alpha=1, link_cmap=None, link_labels=False, - add_colorbar=True, node_colorbar_label="", link_colorbar_label="", - directed=False, legend=False, show_valve_direction=False, show_pump_direction=False, ax=None, show_plot=True, filename=None): + add_colorbar=True, node_colorbar_label=None, link_colorbar_label=None, + directed=False, legend=False, ax=None, show_plot=True, filename=None): """ Plot network graphic @@ -194,7 +193,7 @@ def plot_network( if title is not None: ax.set_title(title) - + aspect = "equal" tank_marker = "D" @@ -209,6 +208,13 @@ def plot_network( link_range = (None, None) if node_range is None: node_range = (None, None) + + # use attribute name if no other label is provided + if node_colorbar_label is None and isinstance(node_attribute, str): + node_colorbar_label = node_attribute + if link_colorbar_label is None and isinstance(link_attribute, str): + link_colorbar_label = link_attribute + wn_gis = wn.to_gis() # add node_type so that node assets can be plotted separately @@ -219,7 +225,17 @@ def plot_network( node_gdf = pd.concat((wn_gis.junctions, wn_gis.tanks, wn_gis.reservoirs)) # process link attribute + # link_kwds = {} link_kwds = _prepare_attribute(link_attribute, link_gdf) + # Node attribute + # if node_attribute is not None: + # if isinstance(node_attribute, list): + # node_cmap = 'Reds' + # add_colorbar = False + # node_attribute = _format_node_attribute(node_attribute, wn) + # else: + # add_colorbar = False + # link_ # handle cbar/cmap if isinstance(link_attribute, list): @@ -292,21 +308,21 @@ def plot_network( # # prepare legend item list # legend_items = [] - missing_node_kwds={"color": "black", "markersize": node_size / 2} # TODO: customize per element type + missing_node_kwds={"color": "black"} missing_link_kwds={"color": "black", "linewidth": link_width / 2} # plot nodes - each type is plotted separately to allow for different marker types node_gdf[node_gdf.node_type == "Junction"].plot( - ax=ax, aspect=aspect, zorder=3, label="Junctions", legend=False, missing_kwds=missing_node_kwds, **node_kwds) + ax=ax, aspect=aspect, zorder=3, legend=False, label="Junction", missing_kwds=missing_node_kwds, **node_kwds) # legend_items.append(plt.Line2D([0], [0], marker='o', color='w', label='Junctions', markerfacecolor='blue', markersize=6)) node_kwds["markersize"] = node_size * 2.0 node_gdf[node_gdf.node_type == "Tank"].plot( - ax=ax, aspect=aspect, zorder=4, marker=tank_marker, label="Tanks", legend=False, missing_kwds=missing_node_kwds, **node_kwds) + ax=ax, aspect=aspect, zorder=4, marker=tank_marker, legend=False, label="Tank", missing_kwds=missing_node_kwds, **node_kwds) node_kwds["markersize"] = node_size * 3.0 node_gdf[node_gdf.node_type == "Reservoir"].plot( - ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, label="Reservoirs", legend=False, missing_kwds=missing_node_kwds,**node_kwds) + ax=ax, aspect=aspect, zorder=5, marker=reservoir_marker, legend=False, label="Reservoir", missing_kwds=missing_node_kwds,**node_kwds) if node_cbar: sm = mpl.cm.ScalarMappable(cmap=node_kwds["cmap"]) @@ -329,35 +345,11 @@ def plot_network( link_cbar = ax.figure.colorbar(sm, ax=ax, **link_cbar_kwds) - if show_pump_direction & (len(wn_gis.pumps) > 0): - # wn_gis.pumps.plot(ax=ax, color="purple", aspect=aspect) - wn_gis.pumps["_midpoint"] = wn_gis.pumps.geometry.interpolate(0.5, normalized=True) - wn_gis.pumps["_angle"] = wn_gis.pumps.apply(lambda row: _get_angle(row.geometry), axis=1) - for idx , row in wn_gis.pumps.iterrows(): - x,y = row["_midpoint"].x, row["_midpoint"].y - angle = row["_angle"] - ax.scatter(x,y, color="black", s=50, marker=(3, 0, angle-90)) - - if show_valve_direction & (len(wn_gis.valves) > 0): - wn_gis.valves["_midpoint"] = wn_gis.valves.geometry.interpolate(0.5, normalized=True) - wn_gis.valves["_angle"] = wn_gis.valves.apply(lambda row: _get_angle(row.geometry), axis=1) - for idx , row in wn_gis.valves.iterrows(): - x,y = row["_midpoint"].x, row["_midpoint"].y - angle = row["_angle"] - ax.scatter(x,y, color="black", s=50, marker=(3, 0, angle-90)) - if node_labels: for x, y, label in zip(node_gdf.geometry.x, node_gdf.geometry.y, node_gdf.index): ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") - # for x, y, label in zip(wn_gis.tanks.geometry.x, wn_gis.tanks.geometry.y, wn_gis.tanks.index): - # ax.annotate(label, xy=(x, y)) - # for x, y, label in zip(wn_gis.junctions.geometry.x, wn_gis.junctions.geometry.y, wn_gis.junctions.index): - # ax.annotate(label, xy=(x, y)) if link_labels: - # midpoints = wn_gis.pipes.geometry.apply(lambda x: x.interpolate(0.5, normalized=True)) - # for x, y, label in zip(midpoints.geometry.x, midpoints.geometry.y, wn_gis.pipes.index): - # ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") midpoints = link_gdf.geometry.apply(lambda x: x.interpolate(0.5, normalized=True)) for x, y, label in zip(midpoints.geometry.x, midpoints.geometry.y, link_gdf.index): ax.annotate(label, xy=(x, y))#, xytext=(3, 3),)# textcoords="offset points") @@ -375,221 +367,8 @@ def plot_network( # handle = plt.Line2D([0], [0], marker='o', color='w', label='Junctions', markerfacecolor='black', markersize=6) if legend: handles, labels = ax.get_legend_handles_labels() - ax.legend(handles, labels, loc='upper right', title="Legend") - - - ax.axis('off') - - if filename: - plt.savefig(filename) - - if show_plot is True: - plt.show(block=False) + leg = ax.legend(handles, labels, loc='upper right', title="Legend") - return ax - - -def plot_network_nx(wn, node_attribute=None, link_attribute=None, title=None, - node_size=20, node_range=[None,None], node_alpha=1, node_cmap=None, node_labels=False, - link_width=1, link_range=[None,None], link_alpha=1, link_cmap=None, link_labels=False, - add_colorbar=True, node_colorbar_label='Node', link_colorbar_label='Link', - directed=False, ax=None, show_plot=True, filename=None): - """ - Plot network graphic - - Parameters - ---------- - wn : wntr WaterNetworkModel - A WaterNetworkModel object - - node_attribute : None, str, list, pd.Series, or dict, optional - - - If node_attribute is a string, then a node attribute dictionary is - created using node_attribute = wn.query_node_attribute(str) - - If node_attribute is a list, then each node in the list is given a - value of 1. - - If node_attribute is a pd.Series, then it should be in the format - {nodeid: x} where nodeid is a string and x is a float. - - If node_attribute is a dict, then it should be in the format - {nodeid: x} where nodeid is a string and x is a float - - link_attribute : None, str, list, pd.Series, or dict, optional - - - If link_attribute is a string, then a link attribute dictionary is - created using edge_attribute = wn.query_link_attribute(str) - - If link_attribute is a list, then each link in the list is given a - value of 1. - - If link_attribute is a pd.Series, then it should be in the format - {linkid: x} where linkid is a string and x is a float. - - If link_attribute is a dict, then it should be in the format - {linkid: x} where linkid is a string and x is a float. - - title: str, optional - Plot title - - node_size: int, optional - Node size - - node_range: list, optional - Node color range ([None,None] indicates autoscale) - - node_alpha: int, optional - Node transparency - - node_cmap: matplotlib.pyplot.cm colormap or list of named colors, optional - Node colormap - - node_labels: bool, optional - If True, the graph will include each node labelled with its name. - - link_width: int, optional - Link width - - link_range : list, optional - Link color range ([None,None] indicates autoscale) - - link_alpha : int, optional - Link transparency - - link_cmap: matplotlib.pyplot.cm colormap or list of named colors, optional - Link colormap - - link_labels: bool, optional - If True, the graph will include each link labelled with its name. - - add_colorbar: bool, optional - Add colorbar - - node_colorbar_label: str, optional - Node colorbar label - - link_colorbar_label: str, optional - Link colorbar label - - directed: bool, optional - If True, plot the directed graph - - ax: matplotlib axes object, optional - Axes for plotting (None indicates that a new figure with a single - axes will be used) - - show_plot: bool, optional - If True, show plot with plt.show() - - filename : str, optional - Filename used to save the figure - - Returns - ------- - ax : matplotlib axes object - """ - - if ax is None: # create a new figure - plt.figure(facecolor='w', edgecolor='k') - ax = plt.gca() - - # Graph - G = wn.to_graph() - if not directed: - G = G.to_undirected() - - # Position - pos = nx.get_node_attributes(G,'pos') - if len(pos) == 0: - pos = None - - # Define node properties - add_node_colorbar = add_colorbar - if node_attribute is not None: - - if isinstance(node_attribute, list): - if node_cmap is None: - node_cmap = ['red', 'red'] - add_node_colorbar = False - - if node_cmap is None: - node_cmap = plt.get_cmap('Spectral_r') - elif isinstance(node_cmap, list): - if len(node_cmap) == 1: - node_cmap = node_cmap*2 - node_cmap = custom_colormap(len(node_cmap), node_cmap) - - node_attribute = _format_node_attribute(node_attribute, wn) - nodelist,nodecolor = zip(*node_attribute.items()) - - else: - nodelist = None - nodecolor = 'k' - - add_link_colorbar = add_colorbar - if link_attribute is not None: - - if isinstance(link_attribute, list): - if link_cmap is None: - link_cmap = ['red', 'red'] - add_link_colorbar = False - - if link_cmap is None: - link_cmap = plt.get_cmap('Spectral_r') - elif isinstance(link_cmap, list): - if len(link_cmap) == 1: - link_cmap = link_cmap*2 - link_cmap = custom_colormap(len(link_cmap), link_cmap) - - link_attribute = _format_link_attribute(link_attribute, wn) - - # Replace link_attribute dictionary defined as - # {link_name: attr} with {(start_node, end_node, link_name): attr} - attr = {} - for link_name, value in link_attribute.items(): - link = wn.get_link(link_name) - attr[(link.start_node_name, link.end_node_name, link_name)] = value - link_attribute = attr - - linklist,linkcolor = zip(*link_attribute.items()) - else: - linklist = None - linkcolor = 'k' - - if title is not None: - ax.set_title(title) - - edge_background = nx.draw_networkx_edges(G, pos, edge_color='grey', - width=0.5, ax=ax) - - nodes = nx.draw_networkx_nodes(G, pos, - nodelist=nodelist, node_color=nodecolor, node_size=node_size, - alpha=node_alpha, cmap=node_cmap, vmin=node_range[0], vmax = node_range[1], - linewidths=0, ax=ax) - edges = nx.draw_networkx_edges(G, pos, edgelist=linklist, arrows=directed, - edge_color=linkcolor, width=link_width, alpha=link_alpha, edge_cmap=link_cmap, - edge_vmin=link_range[0], edge_vmax=link_range[1], ax=ax) - if node_labels: - labels = dict(zip(wn.node_name_list, wn.node_name_list)) - nx.draw_networkx_labels(G, pos, labels, font_size=7, ax=ax) - if link_labels: - labels = {} - for link_name in wn.link_name_list: - link = wn.get_link(link_name) - labels[(link.start_node_name, link.end_node_name)] = link_name - nx.draw_networkx_edge_labels(G, pos, labels, font_size=7, ax=ax) - if add_node_colorbar and node_attribute: - clb = plt.colorbar(nodes, shrink=0.5, pad=0, ax=ax) - clb.ax.set_title(node_colorbar_label, fontsize=10) - if add_link_colorbar and link_attribute: - if link_range[0] is None: - vmin = min(link_attribute.values()) - else: - vmin = link_range[0] - if link_range[1] is None: - vmax = max(link_attribute.values()) - else: - vmax = link_range[1] - sm = plt.cm.ScalarMappable(cmap=link_cmap, norm=plt.Normalize(vmin=vmin, vmax=vmax)) - sm.set_array([]) - clb = plt.colorbar(sm, shrink=0.5, pad=0.05, ax=ax) - clb.ax.set_title(link_colorbar_label, fontsize=10) - ax.axis('off') if filename: From 4a8f5a484589ae0e449369e65b1ea6cc69e1fdb9 Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 3 Dec 2024 09:53:04 -0500 Subject: [PATCH 100/118] remove pump/valve direction plotting tests --- wntr/tests/test_graphics.py | 32 +------------------------------- 1 file changed, 1 insertion(+), 31 deletions(-) diff --git a/wntr/tests/test_graphics.py b/wntr/tests/test_graphics.py index 1ed01c659..f5c5c6c7c 100644 --- a/wntr/tests/test_graphics.py +++ b/wntr/tests/test_graphics.py @@ -119,36 +119,8 @@ def test_plot_network5(self): self.assertTrue(isfile(filename)) def test_plot_network6(self): - # pumps/valves - filename = abspath(join(testdir, "plot_network6.png")) - if isfile(filename): - os.remove(filename) - - inp_file = join(ex_datadir, "Net6.inp") - wn = wntr.network.WaterNetworkModel(inp_file) - - # verify that direction points away from start node - start_nodes = [] - for link_name in wn.pump_name_list+wn.valve_name_list: - link = wn.get_link(link_name) - start_nodes.append(link.start_node_name) - - # pump=0, valve=1 - link_type = pd.Series(0, index=wn.pump_name_list+wn.valve_name_list) - link_type[wn.valve_name_list] = 1 - - wntr.graphics.plot_network( - wn, node_attribute=start_nodes, link_attribute=link_type, - show_pump_direction=True, show_valve_direction=True - ) - plt.savefig(filename, format="png") - plt.close() - - self.assertTrue(isfile(filename)) - - def test_plot_network7(self): # legend - filename = abspath(join(testdir, "plot_network7.png")) + filename = abspath(join(testdir, "plot_network6.png")) if isfile(filename): os.remove(filename) @@ -217,8 +189,6 @@ def test_plot_network_options(self): "link_cmap": cmap, "link_range": [0,1], "link_width": 1.5}, - # {"show_pump_direction": True, - # "show_pump_direction": True} ] for kwargs in kwarg_list: From 046006a2b848ea169fd0621415f7a0255c7a3ffd Mon Sep 17 00:00:00 2001 From: kbonney Date: Tue, 3 Dec 2024 10:20:45 -0500 Subject: [PATCH 101/118] update plot_network to use _format functions instead of _prepare function --- wntr/graphics/network.py | 161 ++++++++++++++---------------------- wntr/tests/test_graphics.py | 11 +-- 2 files changed, 68 insertions(+), 104 deletions(-) diff --git a/wntr/graphics/network.py b/wntr/graphics/network.py index 2433b0003..7b49704fd 100644 --- a/wntr/graphics/network.py +++ b/wntr/graphics/network.py @@ -43,33 +43,6 @@ def _get_angle(line, loc=0.5): angle = math.degrees(angle) return angle - -def _prepare_attribute(attribute, gdf): - kwds = {} - if attribute is not None: - # if dict convert to a series - if isinstance(attribute, dict): - attribute = pd.Series(attribute) - # if series add as a column to link gdf - if isinstance(attribute, pd.Series): - gdf["_attribute"] = attribute - kwds["column"] = "_attribute" - # if list, create new boolean column that captures which indices are in the list - elif isinstance(attribute, list): - gdf["_attribute"] = np.nan - gdf.loc[gdf.index.isin(attribute), "_attribute"] = 1 - kwds["column"] = "_attribute" - # if str, assert that column name exists - elif isinstance(attribute, str): - if attribute not in gdf.columns: - raise KeyError(f"attribute {attribute} does not exist.") - kwds["column"] = attribute - else: - raise TypeError("attribute must be dict, Series, list, or str") - else: - kwds["color"] = "black" - return kwds - def _format_node_attribute(node_attribute, wn): if isinstance(node_attribute, str): @@ -213,8 +186,7 @@ def plot_network( if node_colorbar_label is None and isinstance(node_attribute, str): node_colorbar_label = node_attribute if link_colorbar_label is None and isinstance(link_attribute, str): - link_colorbar_label = link_attribute - + link_colorbar_label = link_attribute wn_gis = wn.to_gis() # add node_type so that node assets can be plotted separately @@ -224,37 +196,71 @@ def plot_network( link_gdf = pd.concat((wn_gis.pipes, wn_gis.pumps, wn_gis.valves)) node_gdf = pd.concat((wn_gis.junctions, wn_gis.tanks, wn_gis.reservoirs)) - # process link attribute - # link_kwds = {} - link_kwds = _prepare_attribute(link_attribute, link_gdf) # Node attribute - # if node_attribute is not None: - # if isinstance(node_attribute, list): - # node_cmap = 'Reds' - # add_colorbar = False - # node_attribute = _format_node_attribute(node_attribute, wn) - # else: - # add_colorbar = False - # link_ - - # handle cbar/cmap - if isinstance(link_attribute, list): - link_kwds["cmap"] = custom_colormap(2,["red", "red"]) - link_cbar = False - elif isinstance(link_attribute, (dict, pd.Series, str)): - link_kwds["cmap"] = link_cmap + node_kwds = {} + node_cbar = add_colorbar + if node_attribute is not None: + node_gdf["_attribute"] = _format_node_attribute(node_attribute, wn) + node_kwds["column"] = "_attribute" - link_attribute_values = link_gdf[link_kwds["column"]] - if link_range[0] is None: - link_kwds["vmin"] = np.nanmin(link_attribute_values) + # handle cbar/cmap + if isinstance(node_attribute, list): + node_kwds["cmap"] = custom_colormap(2,["red", "red"]) + node_cbar = False + elif isinstance(node_attribute, (dict, pd.Series, str)): + node_kwds["cmap"] = node_cmap + + # manually extract min/max if no range is given + node_attribute_values = node_gdf[node_kwds["column"]] + if node_range[0] is None: + node_kwds["vmin"] = np.nanmin(node_attribute_values) + else: + node_kwds["vmin"] = node_range[0] + if node_range[1] is None: + node_kwds["vmax"] = np.nanmax(node_attribute_values) + else: + node_kwds["vmax"] = node_range[1] else: - link_kwds["vmin"] = link_range[0] - if link_range[1] is None: - link_kwds["vmax"] = np.nanmax(link_attribute_values) + raise TypeError("attribute must be dict, Series, list, or str") + else: + node_kwds["color"] = "black" + node_cbar = False + + node_kwds["alpha"] = node_alpha + node_kwds["markersize"] = node_size + + node_cbar_kwds = {} + node_cbar_kwds["shrink"] = 0.5 + node_cbar_kwds["pad"] = 0.0 + node_cbar_kwds["alpha"] = node_alpha + node_cbar_kwds["label"] = node_colorbar_label + + # Link attribute + link_kwds = {} + link_cbar = add_colorbar + if link_attribute is not None: + link_gdf["_attribute"] = pd.Series(_format_link_attribute(link_attribute, wn)) + link_kwds["column"] = "_attribute" + + # handle cbar/cmap + if isinstance(link_attribute, list): + link_kwds["cmap"] = custom_colormap(2,["red", "red"]) + link_cbar = False + elif isinstance(link_attribute, (dict, pd.Series, str)): + link_kwds["cmap"] = link_cmap + + # manually extract min/max if no range is given + link_attribute_values = link_gdf[link_kwds["column"]] + if link_range[0] is None: + link_kwds["vmin"] = np.nanmin(link_attribute_values) + else: + link_kwds["vmin"] = link_range[0] + if link_range[1] is None: + link_kwds["vmax"] = np.nanmax(link_attribute_values) + else: + link_kwds["vmax"] = link_range[1] else: - link_kwds["vmax"] = link_range[1] - - link_cbar = add_colorbar + raise TypeError("attribute must be dict, Series, list, or str") else: link_kwds["color"] = "black" link_cbar = False @@ -264,7 +270,7 @@ def plot_network( background_link_kwds = {} background_link_kwds["color"] = "grey" - background_link_kwds["linewidth"] = link_width + background_link_kwds["linewidth"] = link_width / 2 background_link_kwds["alpha"] = link_alpha link_cbar_kwds = {} @@ -273,48 +279,12 @@ def plot_network( link_cbar_kwds["label"] = link_colorbar_label link_cbar_kwds["alpha"] = link_alpha - # process node attribute - node_kwds = _prepare_attribute(node_attribute, node_gdf) - - if isinstance(node_attribute, list): - node_kwds["cmap"] = custom_colormap(2,["red", "red"]) - node_cbar = False - elif isinstance(node_attribute, (dict, pd.Series, str)): - node_kwds["cmap"] = node_cmap - - node_attribute_values = node_gdf[node_kwds["column"]] - if node_range[0] is None: - node_kwds["vmin"] = np.nanmin(node_attribute_values) - else: - node_kwds["vmin"] = node_range[0] - if node_range[1] is None: - node_kwds["vmax"] = np.nanmax(node_attribute_values) - else: - node_kwds["vmax"] = node_range[1] - - node_cbar = add_colorbar - else: - node_kwds["color"] = "black" - node_cbar = False - - node_kwds["alpha"] = node_alpha - node_kwds["markersize"] = node_size - - node_cbar_kwds = {} - node_cbar_kwds["shrink"] = 0.5 - node_cbar_kwds["pad"] = 0.0 - node_cbar_kwds["alpha"] = node_alpha - node_cbar_kwds["label"] = node_colorbar_label - - # # prepare legend item list - # legend_items = [] missing_node_kwds={"color": "black"} - missing_link_kwds={"color": "black", "linewidth": link_width / 2} + missing_link_kwds={"color": "black"} # plot nodes - each type is plotted separately to allow for different marker types node_gdf[node_gdf.node_type == "Junction"].plot( ax=ax, aspect=aspect, zorder=3, legend=False, label="Junction", missing_kwds=missing_node_kwds, **node_kwds) - # legend_items.append(plt.Line2D([0], [0], marker='o', color='w', label='Junctions', markerfacecolor='blue', markersize=6)) node_kwds["markersize"] = node_size * 2.0 node_gdf[node_gdf.node_type == "Tank"].plot( @@ -362,9 +332,6 @@ def plot_network( angle = row["_angle"] ax.scatter(x,y, color="black", s=50, marker=(3,0, angle-90)) - # NOTE: The coloring on the symbols will change based on the colors of the underlying object. - # If this isn't desired behavior, handles and labels can be build manually using: - # handle = plt.Line2D([0], [0], marker='o', color='w', label='Junctions', markerfacecolor='black', markersize=6) if legend: handles, labels = ax.get_legend_handles_labels() leg = ax.legend(handles, labels, loc='upper right', title="Legend") diff --git a/wntr/tests/test_graphics.py b/wntr/tests/test_graphics.py index f5c5c6c7c..8caed7e45 100644 --- a/wntr/tests/test_graphics.py +++ b/wntr/tests/test_graphics.py @@ -143,7 +143,6 @@ def test_plot_network_options(self): cmap = matplotlib.colormaps['viridis'] - inp_file = join(ex_datadir, "Net6.inp") wn = wntr.network.WaterNetworkModel(inp_file) @@ -163,14 +162,12 @@ def test_plot_network_options(self): "node_range": [0,20], "node_alpha": 0.5, "node_colorbar_label": "test_label"}, - {"node_attribute": "elevation", - "node_range": [0,1], - "node_alpha": 0.5, - "node_colorbar_label": "test_label"}, {"link_attribute": "diameter", - "link_range": [0,1], + "link_range": [0,None], "link_alpha": 0.5, "link_colorbar_label": "test_label"}, + {"link_attribute": "diameter", + "node_attribute": "elevation"}, {"node_labels": True, "link_labels": True}, {"node_attribute": "elevation", @@ -198,7 +195,7 @@ def test_plot_network_options(self): if compare: fig, ax = plt.subplots(1,2) wntr.graphics.plot_network(wn, ax=ax[0], title="GIS plot_network", **kwargs) - wntr.graphics.plot_network_nx(wn, ax=ax[1], title="NX plot_network", **kwargs) + plot_network_nx(wn, ax=ax[1], title="NX plot_network", **kwargs) fig.savefig(filename, format="png") plt.close(fig) else: From caa0af2ffb62afb54311e4e3668ee44e4fbc6f2e Mon Sep 17 00:00:00 2001 From: David Hart Date: Sat, 14 Dec 2024 10:41:50 -0700 Subject: [PATCH 102/118] build: Update binaries with structure condusive to multi-platform Darwin builds --- wntr/epanet/Darwin/libepanet.dylib | Bin 302216 -> 0 bytes wntr/epanet/Darwin/libepanet2.dylib | Bin 309136 -> 0 bytes wntr/epanet/Darwin/libepanet22.dylib | Bin 325828 -> 0 bytes wntr/epanet/Linux/libepanet22_amd64.so | Bin 385808 -> 0 bytes wntr/epanet/Linux/libepanet2_amd64.so | Bin 505379 -> 0 bytes wntr/epanet/Windows/epanet2.dll | Bin 418304 -> 0 bytes wntr/epanet/Windows/epanet22_amd64.dll | Bin 349184 -> 0 bytes wntr/epanet/Windows/epanet22_win32.dll | Bin 285696 -> 0 bytes wntr/epanet/Windows/epanet2_amd64.dll | Bin 315904 -> 0 bytes wntr/epanet/Windows/epanetmsx.dll | Bin 149504 -> 0 bytes .../libepanet/darwin-arm/libepanet2.dylib | Bin 0 -> 292512 bytes .../darwin-arm}/libepanetmsx.dylib | Bin .../libepanet/darwin-x64/libepanet2.dylib | Bin 0 -> 308976 bytes .../libepanet/darwin-x64/libepanetmsx.dylib | Bin 0 -> 216960 bytes .../linux-x64}/libepanet2.so | Bin .../linux-x64}/libepanetmsx.so | Bin wntr/epanet/libepanet/windows-x64/epanet2.dll | Bin 0 -> 264192 bytes .../libepanet/windows-x64/epanetmsx.dll | Bin 0 -> 150016 bytes wntr/epanet/msx/toolkit.py | 31 +++++++++++------- wntr/epanet/toolkit.py | 9 +++-- 20 files changed, 25 insertions(+), 15 deletions(-) delete mode 100755 wntr/epanet/Darwin/libepanet.dylib delete mode 100755 wntr/epanet/Darwin/libepanet2.dylib delete mode 100755 wntr/epanet/Darwin/libepanet22.dylib delete mode 100755 wntr/epanet/Linux/libepanet22_amd64.so delete mode 100644 wntr/epanet/Linux/libepanet2_amd64.so delete mode 100644 wntr/epanet/Windows/epanet2.dll delete mode 100644 wntr/epanet/Windows/epanet22_amd64.dll delete mode 100644 wntr/epanet/Windows/epanet22_win32.dll delete mode 100644 wntr/epanet/Windows/epanet2_amd64.dll delete mode 100644 wntr/epanet/Windows/epanetmsx.dll create mode 100644 wntr/epanet/libepanet/darwin-arm/libepanet2.dylib rename wntr/epanet/{Darwin => libepanet/darwin-arm}/libepanetmsx.dylib (100%) mode change 100755 => 100644 create mode 100644 wntr/epanet/libepanet/darwin-x64/libepanet2.dylib create mode 100644 wntr/epanet/libepanet/darwin-x64/libepanetmsx.dylib rename wntr/epanet/{Linux => libepanet/linux-x64}/libepanet2.so (100%) rename wntr/epanet/{Linux => libepanet/linux-x64}/libepanetmsx.so (100%) create mode 100644 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