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analyser_merge_railway_railstation_FR.py
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analyser_merge_railway_railstation_FR.py
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#!/usr/bin/env python
#-*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Frédéric Rodrigo 2012 ##
## ##
## This program is free software: you can redistribute it and/or modify ##
## it under the terms of the GNU General Public License as published by ##
## the Free Software Foundation, either version 3 of the License, or ##
## (at your option) any later version. ##
## ##
## This program is distributed in the hope that it will be useful, ##
## but WITHOUT ANY WARRANTY; without even the implied warranty of ##
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ##
## GNU General Public License for more details. ##
## ##
## You should have received a copy of the GNU General Public License ##
## along with this program. If not, see <http://www.gnu.org/licenses/>. ##
## ##
###########################################################################
from .Analyser_Merge import Analyser_Merge, Source, GTFS, Load, Mapping, Select, Generate
class Analyser_Merge_Railway_Railstation_FR(Analyser_Merge):
def __init__(self, config, logger = None):
Analyser_Merge.__init__(self, config, logger)
self.missing_official = self.def_class(item = 8050, id = 1, level = 3, tags = ['merge', 'railway'],
title = T_('Railway station not integrated'))
self.missing_osm = self.def_class(item = 7100, id = 2, level = 3, tags = ['merge', 'railway'],
title = T_('Railway station without tag "uic_ref" or invalid'))
self.possible_merge = self.def_class(item = 8051, id = 3, level = 3, tags = ['merge', 'railway'],
title = T_('Railway station, integration suggestion'))
self.init(
u"https://ressources.data.sncf.com/explore/dataset/sncf-ter-gtfs/",
u"Horaires prévus des trains TER",
GTFS(Source(attribution = u"SNCF", millesime = "08/2017",
fileUrl = u"https://ressources.data.sncf.com/explore/dataset/sncf-ter-gtfs/files/24e02fa969496e2caa5863a365c66ec2/download/")),
Load("stop_lon", "stop_lat",
select = {"stop_id": "StopPoint:OCETrain%"}),
Mapping(
select = Select(
types = ["nodes", "ways"],
tags = {"railway": ["station", "halt"]}),
osmRef = "uic_ref",
conflationDistance = 500,
generate = Generate(
static1 = {
"railway": "station",
"operator": "SNCF"},
static2 = {"source": self.source},
mapping1 = {"uic_ref": lambda res: res["stop_id"].split(":")[1][3:].split("-")[-1][:-1]},
mapping2 = {"name": lambda res: res["stop_name"].replace("gare de ", "")},
text = lambda tags, fields: {"en": fields["stop_name"][0].upper() + fields["stop_name"][1:]} )))