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analyser_merge_public_transport_FR_bibus.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#########################################################################
# #
# Copyrights Arzhel Younsi 2024 #
# #
# 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 modules.OsmoseTranslation import T_
from .Analyser_Merge import (
GTFS,
Analyser_Merge_Point,
Conflate,
Load_XY,
Mapping,
Select,
SourceDataGouv,
)
class Analyser_Merge_Public_Transport_FR_bibus(Analyser_Merge_Point):
def __init__(self, config, logger=None):
Analyser_Merge_Point.__init__(self, config, logger)
place = "Bibus"
self.def_class_missing_official(
item=8040,
id=151,
level=3,
tags=["merge", "public transport", "fix:survey", "fix:picture"],
title=T_("{0} stop not integrated", place),
)
self.def_class_possible_merge(
item=8041,
id=153,
level=3,
tags=["merge", "public transport", "fix:chair"],
title=T_("{0} stop, integration suggestion", place),
)
self.init(
"https://www.data.gouv.fr/fr/datasets/horaires-theoriques-et-temps-reel-des-bus-et-tramways-circulant-sur-le-territoire-de-brest-metropole/",
"Horaires théoriques et temps-réel des bus et tramways circulant sur le territoire de Brest métropole",
GTFS(
SourceDataGouv(
attribution="Brest Métropole",
dataset="55ffbe0888ee387348ccb97d",
resource="583d1419-058b-481b-b378-449cab744c82",
)
),
Load_XY("stop_lon", "stop_lat", select={"location_type": "0"}),
Conflate(
mapping=Mapping(
static1={"public_transport": "platform"},
static2={"source": self.source},
mapping1={
"ref:FR:Bibus": "stop_id",
"wheelchair": lambda fields: self.wheelchair_boarding[
fields.get("wheelchair_boarding")
],
},
mapping2={"name": "stop_name"},
text=lambda tags, fields: T_(
"{0} stop {1}", place, fields["stop_name"]
),
),
select=Select(
types=["nodes", "ways"],
tags=[
{"highway": "bus_stop", "public_transport": "platform"},
{"tram": "yes", "public_transport": "platform"},
{"aerialway": "station", "public_transport": "platform"},
],
),
conflationDistance=10,
osmRef="ref:FR:Bibus",
),
)
wheelchair_boarding = {None: None, "0": None, "1": "yes", "2": "no"}