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analyser_merge_carpool_FR.py
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analyser_merge_carpool_FR.py
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#!/usr/bin/env python
#-*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Adrien PAVIE 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, SourceDataGouv, CSV, Load_XY, Conflate, Select, Mapping
class Analyser_Merge_Carpool_FR(Analyser_Merge_Point):
def __init__(self, config, logger = None):
Analyser_Merge_Point.__init__(self, config, logger)
self.def_class_missing_official(item = 8130, id = 41, level = 3, tags = ['merge', 'parking', 'carpool', 'fix:imagery', 'fix:survey'],
title = T_('Carpool parking not integrated'))
self.def_class_possible_merge(item = 8131, id = 43, level = 3, tags = ['merge', 'parking', 'carpool', 'fix:imagery', 'fix:survey'],
title = T_('Carpool parking integration suggestion'))
self.def_class_update_official(item = 8132, id = 44, level = 3, tags = ['merge', 'parking', 'carpool', 'fix:imagery', 'fix:survey'],
title = T_('Carpool parking update'))
self.init(
"https://www.data.gouv.fr/fr/datasets/base-nationale-consolidee-des-lieux-de-covoiturage",
"Base nationale consolidée des lieux de covoiturage",
CSV(
SourceDataGouv(
attribution="Transport.data.gouv.fr",
encoding="utf-8-sig",
dataset="5d6eaffc8b4c417cdc452ac3",
resource="46362a9d-053e-4ba0-be58-bca4417a2de8")),
Load_XY("Xlong", "Ylat",
select = {
"ouvert": "true"}),
Conflate(
select = Select(
types = ["nodes", "ways"],
tags = [{"amenity": "parking", "carpool": "yes"}, {"amenity":"car_pooling"}, {"amenity":"parking", "carpool":"designated"}]),
osmRef = "ref:FR:BNCLC",
conflationDistance = 300,
mapping = Mapping(
static1 = {"amenity": "parking", "carpool": "designated"},
static2 = {"source": self.source},
mapping1 = {
"ref:FR:BNCLC": "id_lieu",
"name": "nom_lieu",
"capacity": "nbre_pl",
"capacity:disabled": "nbre_pmr",
"lit": lambda res: "yes" if res["lumiere"] == "true" else ("no" if res["lumiere"] == "false" else None)},
text = lambda tags, fields: T_("Carpool parking {0}", fields["nom_lieu"]) )))