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analyser_merge_bicycle_rental_FR_IDF.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#########################################################################
# #
# Copyrights Frederic Rodrigo 2019 #
# #
# 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 (
Analyser_Merge_Point,
Conflate,
GeoJSON,
Load_XY,
Mapping,
Select,
SourceOpenDataSoft,
)
class Analyser_Merge_Bicycle_Rental_FR_IDF(Analyser_Merge_Point):
def __init__(self, config, logger=None):
Analyser_Merge_Point.__init__(self, config, logger)
self.def_class_missing_official(
item=8160,
id=11,
level=3,
tags=["merge", "public equipment", "bicycle", "fix:survey", "fix:picture"],
title=T_("{0} bicycle rental not integrated", "IDF"),
)
self.def_class_possible_merge(
item=8161,
id=13,
level=3,
tags=["merge", "public equipment", "bicycle", "fix:survey", "fix:picture"],
title=T_("{0} bicycle rental integration suggestion", "IDF"),
)
self.def_class_update_official(
item=8162,
id=14,
level=3,
tags=["merge", "public equipment", "bicycle", "fix:survey", "fix:picture"],
title=T_("{0} bicycle update", "IDF"),
)
self.init(
"https://opendata.paris.fr/explore/dataset/velib-disponibilite-en-temps-reel/information/",
"Vélib' - Disponibilité temps réel",
GeoJSON(
SourceOpenDataSoft(
attribution="Autolib Velib Métropole",
url="https://opendata.paris.fr/explore/dataset/velib-disponibilite-en-temps-reel",
format="geojson",
)
),
Load_XY("geom_x", "geom_y"),
Conflate(
select=Select(
types=["nodes", "ways"], tags={"amenity": "bicycle_rental"}
),
conflationDistance=100,
mapping=Mapping(
static1={
"amenity": "bicycle_rental",
"network": "Vélib’",
"operator": "Smovengo",
},
static2={"source": self.source},
mapping1={
"name": "name",
"capacity": lambda res: (
res["capacity"] if res["capacity"] != "0" else None
),
},
),
),
)