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analyser_merge_defibrillators_FR_issylesmoulineaux.py
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analyser_merge_defibrillators_FR_issylesmoulineaux.py
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#!/usr/bin/env python
#-*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Nicolas Bétheuil 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, SourceOpenDataSoft, CSV, Load_XY, Conflate, Select, Mapping
class Analyser_merge_defibrillators_FR_issylesmoulineaux(Analyser_Merge_Point):
def __init__(self, config, logger = None):
Analyser_Merge_Point.__init__(self, config, logger)
self.def_class_missing_official(item = 8370, id = 10, level = 3, tags = ['merge', "emergency", "fix:picture", "fix:survey"],
title = T_('Defibrillator not integrated'))
self.init(
"https://data.issy.com/explore/dataset/defibrillateurs-issy-les-moulineaux/information",
"Défibrillateurs à la Ville d'Issy-les-Moulineaux",
CSV(
SourceOpenDataSoft(
attribution="data.gouv.fr:Ville d'Issy-les-Moulineaux",
url="https://data.issy.com/explore/dataset/defibrillateurs-issy-les-moulineaux")),
Load_XY("Coordonnées géographiques", "Coordonnées géographiques",
xFunction = lambda x: x.split(",")[1].strip(),
yFunction = lambda y: y.split(",")[0].strip()),
Conflate(
select = Select(
types = ["nodes", "ways", "relations"],
tags = {"emergency": "defibrillator"}),
conflationDistance = 50,
mapping = Mapping(
static1 = {"emergency": "defibrillator"},
static2 = {"source": self.source},
text = lambda tags, fields: {"en": ', '.join(filter(lambda x: x, [fields["Titre"], fields["Localisation"], fields["Accès"], fields["Horaires"]]))} )))