Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: Fix handling of zero loss in LossLink and WTW nodes. #266

Merged
merged 1 commit into from
Oct 9, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
49 changes: 46 additions & 3 deletions pywr-schema/src/nodes/loss_link.rs
Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,8 @@ pub enum LossFactor {

#[cfg(feature = "core")]
impl LossFactor {
/// Load the loss factor and return a corresponding [`Relationship`] if the loss factor is
/// not a constant zero. If a zero is loaded, then `None` is returned.
pub fn load(
&self,
network: &mut pywr_core::network::Network,
Expand All @@ -34,7 +36,7 @@ impl LossFactor {
match self {
LossFactor::Gross { factor } => {
let lf = factor.load(network, args)?;
// Handle the case where we a given a zero loss factor
// Handle the case where we are given a zero loss factor
// The aggregated node does not support zero loss factors so filter them here.
if lf.is_constant_zero() {
return Ok(None);
Expand Down Expand Up @@ -173,6 +175,11 @@ impl LossLinkNode {

if let Some(loss_factor) = &self.loss_factor {
let factors = loss_factor.load(network, args)?;

if factors.is_none() {
// Loaded a constant zero factor; ensure that the loss node has zero flow
network.set_node_max_flow(self.meta.name.as_str(), Self::loss_sub_name(), Some(0.0.into()))?;
}
network.set_aggregated_node_relationship(self.meta.name.as_str(), Self::agg_sub_name(), factors)?;
}

Expand Down Expand Up @@ -289,7 +296,7 @@ mod tests {
}

#[test]
fn test_model_schema() {
fn test_loss_link1_schema() {
let data = loss_link1_str();
let schema: PywrModel = serde_json::from_str(data).unwrap();

Expand All @@ -299,7 +306,7 @@ mod tests {

#[test]
#[cfg(feature = "core")]
fn test_model_run() {
fn test_loss_link1_run() {
let data = loss_link1_str();
let schema: PywrModel = serde_json::from_str(data).unwrap();
let temp_dir = TempDir::new().unwrap();
Expand All @@ -314,4 +321,40 @@ mod tests {
// Test all solvers
run_all_solvers(&model, &[], &expected_outputs);
}

fn loss_link2_str() -> &'static str {
include_str!("../test_models/loss_link2.json")
}

#[cfg(feature = "core")]
fn loss_link2_outputs_str() -> &'static str {
include_str!("../test_models/loss_link2-expected.csv")
}

#[test]
fn test_loss_link2_schema() {
let data = loss_link2_str();
let schema: PywrModel = serde_json::from_str(data).unwrap();

assert_eq!(schema.network.nodes.len(), 4);
assert_eq!(schema.network.edges.len(), 3);
}

#[test]
#[cfg(feature = "core")]
fn test_loss_link2_run() {
let data = loss_link2_str();
let schema: PywrModel = serde_json::from_str(data).unwrap();
let temp_dir = TempDir::new().unwrap();

let model = schema.build_model(None, Some(temp_dir.path())).unwrap();
// After model run there should be an output file.
let expected_outputs = [ExpectedOutputs::new(
temp_dir.path().join("loss_link2.csv"),
loss_link2_outputs_str(),
)];

// Test all solvers
run_all_solvers(&model, &[], &expected_outputs);
}
}
49 changes: 47 additions & 2 deletions pywr-schema/src/nodes/water_treatment_works.rs
Original file line number Diff line number Diff line change
Expand Up @@ -181,6 +181,10 @@ impl WaterTreatmentWorks {

if let Some(loss_factor) = &self.loss_factor {
let factors = loss_factor.load(network, args)?;
if factors.is_none() {
// Loaded a constant zero factor; ensure that the loss node has zero flow
network.set_node_max_flow(self.meta.name.as_str(), Self::loss_sub_name(), Some(0.0.into()))?;
}
network.set_aggregated_node_relationship(self.meta.name.as_str(), Self::agg_sub_name(), factors)?;
}

Expand Down Expand Up @@ -255,7 +259,7 @@ mod tests {
}

#[test]
fn test_model_schema() {
fn test_wtw1_schema() {
let data = wtw1_str();
let schema: PywrModel = serde_json::from_str(data).unwrap();

Expand All @@ -265,7 +269,7 @@ mod tests {

#[test]
#[cfg(feature = "core")]
fn test_model_run() {
fn test_wtw1_run() {
let data = wtw1_str();
let schema: PywrModel = serde_json::from_str(data).unwrap();
let temp_dir = TempDir::new().unwrap();
Expand All @@ -285,4 +289,45 @@ mod tests {
// Test all solvers
run_all_solvers(&model, &[], &expected_outputs);
}

fn wtw2_str() -> &'static str {
include_str!("../test_models/wtw2.json")
}

#[cfg(feature = "core")]
fn wtw2_outputs_str() -> &'static str {
include_str!("../test_models/wtw2-expected.csv")
}

#[test]
fn test_wtw2_schema() {
let data = wtw2_str();
let schema: PywrModel = serde_json::from_str(data).unwrap();

assert_eq!(schema.network.nodes.len(), 4);
assert_eq!(schema.network.edges.len(), 3);
}

#[test]
#[cfg(feature = "core")]
fn test_wtw2_run() {
let data = wtw2_str();
let schema: PywrModel = serde_json::from_str(data).unwrap();
let temp_dir = TempDir::new().unwrap();

let mut model = schema.build_model(None, Some(temp_dir.path())).unwrap();

let network = model.network_mut();
assert_eq!(network.nodes().len(), 7);
assert_eq!(network.edges().len(), 7);

// After model run there should be an output file.
let expected_outputs = [ExpectedOutputs::new(
temp_dir.path().join("wtw2.csv"),
wtw2_outputs_str(),
)];

// Test all solvers
run_all_solvers(&model, &[], &expected_outputs);
}
}
13 changes: 13 additions & 0 deletions pywr-schema/src/test_models/loss_link2-expected.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
time_start,time_end,scenario_index,metric_set,name,attribute,value
2015-01-01T00:00:00,2015-01-02T00:00:00,0,nodes,loss1,Inflow,10.0
2015-01-01T00:00:00,2015-01-02T00:00:00,0,nodes,loss1,Outflow,10.0
2015-01-01T00:00:00,2015-01-02T00:00:00,0,nodes,loss1,Loss,0.0
2015-01-01T00:00:00,2015-01-02T00:00:00,0,nodes,spill1,Inflow,5.0
2015-01-02T00:00:00,2015-01-03T00:00:00,0,nodes,loss1,Inflow,10.0
2015-01-02T00:00:00,2015-01-03T00:00:00,0,nodes,loss1,Outflow,10.0
2015-01-02T00:00:00,2015-01-03T00:00:00,0,nodes,loss1,Loss,0.0
2015-01-02T00:00:00,2015-01-03T00:00:00,0,nodes,spill1,Inflow,5.0
2015-01-03T00:00:00,2015-01-04T00:00:00,0,nodes,loss1,Inflow,10.0
2015-01-03T00:00:00,2015-01-04T00:00:00,0,nodes,loss1,Outflow,10.0
2015-01-03T00:00:00,2015-01-04T00:00:00,0,nodes,loss1,Loss,0.0
2015-01-03T00:00:00,2015-01-04T00:00:00,0,nodes,spill1,Inflow,5.0
116 changes: 116 additions & 0 deletions pywr-schema/src/test_models/loss_link2.json
Original file line number Diff line number Diff line change
@@ -0,0 +1,116 @@
{
"metadata": {
"title": "Loss Link Test 1",
"description": "Test LossLink with zero loss",
"minimum_version": "0.1"
},
"timestepper": {
"start": "2015-01-01",
"end": "2015-01-03",
"timestep": 1
},
"network": {
"nodes": [
{
"meta": {
"name": "input1"
},
"type": "Catchment",
"flow": {
"type": "Constant",
"value": 15.0
}
},
{
"meta": {
"name": "loss1"
},
"type": "LossLink",
"loss_factor": {
"type": "Net",
"factor": {
"type": "Constant",
"value": 0.0
}
}
},
{
"meta": {
"name": "demand1"
},
"type": "Output",
"max_flow": {
"type": "Constant",
"value": 10.0
},
"cost": {
"type": "Constant",
"value": -10
}
},
{
"meta": {
"name": "spill1"
},
"type": "Output",
"cost": {
"type": "Constant",
"value": 10
}
}
],
"edges": [
{
"from_node": "input1",
"to_node": "loss1"
},
{
"from_node": "loss1",
"to_node": "demand1"
},
{
"from_node": "input1",
"to_node": "spill1"
}
],
"metric_sets": [
{
"name": "nodes",
"metrics": [
{
"type": "Node",
"name": "loss1",
"attribute": "Inflow"
},
{
"type": "Node",
"name": "loss1",
"attribute": "Outflow"
},
{
"type": "Node",
"name": "loss1",
"attribute": "Loss"
},
{
"type": "Node",
"name": "spill1",
"attribute": "Inflow"
}
]
}
],
"outputs": [
{
"name": "node-outputs",
"type": "CSV",
"format": "long",
"filename": "loss_link2.csv",
"metric_set": [
"nodes"
],
"decimal_places": 1
}
]
}
}
13 changes: 13 additions & 0 deletions pywr-schema/src/test_models/wtw2-expected.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
time_start,time_end,scenario_index,metric_set,name,attribute,value
2015-01-01T00:00:00,2015-01-02T00:00:00,0,nodes,wtw1,Inflow,10.0
2015-01-01T00:00:00,2015-01-02T00:00:00,0,nodes,wtw1,Outflow,10.0
2015-01-01T00:00:00,2015-01-02T00:00:00,0,nodes,wtw1,Loss,0.0
2015-01-01T00:00:00,2015-01-02T00:00:00,0,nodes,spill1,Inflow,10.0
2015-01-02T00:00:00,2015-01-03T00:00:00,0,nodes,wtw1,Inflow,10.0
2015-01-02T00:00:00,2015-01-03T00:00:00,0,nodes,wtw1,Outflow,10.0
2015-01-02T00:00:00,2015-01-03T00:00:00,0,nodes,wtw1,Loss,0.0
2015-01-02T00:00:00,2015-01-03T00:00:00,0,nodes,spill1,Inflow,10.0
2015-01-03T00:00:00,2015-01-04T00:00:00,0,nodes,wtw1,Inflow,10.0
2015-01-03T00:00:00,2015-01-04T00:00:00,0,nodes,wtw1,Outflow,10.0
2015-01-03T00:00:00,2015-01-04T00:00:00,0,nodes,wtw1,Loss,0.0
2015-01-03T00:00:00,2015-01-04T00:00:00,0,nodes,spill1,Inflow,10.0
Loading