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analyser_merge_recycling_FR_ampm.py
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analyser_merge_recycling_FR_ampm.py
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#!/usr/bin/env python
#-*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Paul Bonaud 2023 ##
## ##
## 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_Recycling_FR_ampm(Analyser_Merge_Point):
def __init__(self, config, logger = None):
Analyser_Merge_Point.__init__(self, config, logger)
self.def_class_missing_official(item = 8120, id = 30, level = 3, tags = ['merge', 'recycling', 'fix:survey', 'fix:picture'],
title = T_('{0} recycling not integrated', 'AMPM'))
self.def_class_possible_merge(item = 8121, id = 31, level = 3, tags = ['merge', 'recycling', 'fix:chair'],
title = T_('{0} recycling, integration suggestion', 'AMPM'))
self.init(
"https://data.ampmetropole.fr/explore/dataset/point-dapport-volontaire-mamp/",
"Points d'apport volontaire - Aix-Marseille-Provence",
CSV(SourceOpenDataSoft(
attribution="Métropole Aix-Marseille Provence",
url="https://data.ampmetropole.fr/explore/dataset/point-dapport-volontaire-mamp")),
Load_XY("geo_point_2d", "geo_point_2d",
xFunction = lambda x: x and x.split(',')[1],
yFunction = lambda y: y and y.split(',')[0],
select = {"flux_lib": ["Verre", "Biflux", "Textile"]}),
Conflate(
select = Select(
types = ["nodes", "ways"],
tags = {"amenity": "recycling"}),
conflationDistance = 100,
mapping = Mapping(
static1 = {
"amenity": "recycling",
"recycling_type": "container"},
static2 = {"source": self.source},
mapping1 = {
"recycling:glass_bottles": lambda fields: "yes" if fields["flux_lib"] == "Verre" else None,
"recycling:paper": lambda fields: "yes" if fields["flux_lib"] == "Biflux" else None,
"recycling:plastic": lambda fields: "yes" if fields["flux_lib"] == "Biflux" else None,
"recycling:packaging": lambda fields: "yes" if fields["flux_lib"] == "Biflux" else None,
"recycling:clothes": lambda fields: "yes" if fields["flux_lib"] == "Textile" else None,
"location": lambda fields: "underground" if fields["type_lib"] == "Enterré" else None,},
text = lambda tags, fields: {"en": "{0} - {1}".format(fields["flux_lib"], fields["adresse"])} )))