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analyser_merge_charging_station_FR.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Noémie Lehuby 2020 ##
## ##
## 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, Source, CSV, Load_XY, Conflate, Select, Mapping
class Analyser_Merge_Charging_station_FR(Analyser_Merge_Point):
def __init__(self, config, logger=None):
Analyser_Merge_Point.__init__(self, config, logger)
doc = dict(
detail = T_(
'''A car charging station may be here but is not mapped. The list of the
charging stations comes from a database published by Etalab. This database
brings together information published by the various local authorities and
networks in France.'''),
fix = T_(
'''See [the
mapping](https://wiki.openstreetmap.org/wiki/France/data.gouv.fr/Bornes_de_Recharge_pour_V%C3%A9hicules_%C3%89lectriques)
on the wiki. Add a node or add tags if already existing.'''),
trap = T_(
'''The initial information corresponds to recharging pools and devices and not to
stations, so some values are worth checking in the field. For instance, an open data point
with `capacity=6` can sometimes match to 3 charging station with `capacity=2`'''))
self.def_class_missing_official(item = 8410, id = 1, level = 3, tags = ['merge', 'fix:imagery', 'fix:survey', 'fix:picture'],
title = T_('Car charging station not integrated'), **doc)
self.def_class_possible_merge(item = 8411, id = 3, level = 3, tags = ['merge', 'fix:imagery', 'fix:survey', 'fix:picture'],
title = T_('Car charging station, integration suggestion'), **doc)
self.def_class_update_official(item = 8412, id = 4, level = 3, tags = ['merge', 'fix:imagery', 'fix:survey', 'fix:picture'],
title = T_('Car charging station update'), **doc)
self.init(
"https://transport.data.gouv.fr/datasets/fichier-consolide-des-bornes-de-recharge-pour-vehicules-electriques/",
"Stations de recharge pour véhicules électriques",
CSV(Source(attribution="data.gouv.fr:Etalab", millesime="05/2022",
fileUrl="https://raw.githubusercontent.com/Jungle-Bus/ref-EU-EVSE/gh-pages/opendata_stations.csv")),
Load_XY("Xlongitude", "Ylatitude"),
Conflate(
select=Select(
types=["nodes", "ways"],
tags={"amenity": "charging_station"}),
conflationDistance=100,
osmRef="ref:EU:EVSE",
mapping=Mapping(
static1={
"amenity": "charging_station",
"motorcar": "yes"},
static2={"source": self.source},
mapping1={
"operator": "nom_operateur",
"network": "nom_enseigne",
"owner": "nom_amenageur",
"ref:EU:EVSE": "id_station_itinerance"
},
mapping2={
"email": "contact_operateur",
"phone": "telephone_operateur",
"capacity": "nbre_pdc",
"bicycle": lambda fields: "yes" if fields["station_deux_roues"] == "true" else None,
"motorcycle": lambda fields: "yes" if fields["station_deux_roues"] == "true" else None,
"moped": lambda fields: "yes" if fields["station_deux_roues"] == "true" else None,
"motorcar": lambda fields: "no" if fields["station_deux_roues"] == "true" else "yes",
"opening_hours": "horaires_grouped",
"fee": lambda fields: "yes" if fields["gratuit_grouped"] == "false" else ("no" if fields["gratuit_grouped"] == "true" else None),
"authentication:none": lambda fields: "yes" if fields["paiement_acte_grouped"] == "true" else None,
"payment:credit_cards": lambda fields: "yes" if fields["paiement_cb_grouped"] == "true" else ("no" if fields["paiement_cb_grouped"] == "false" else None),
"reservation": lambda fields: "yes" if fields["reservation_grouped"] == "true" else None,
"wheelchair": lambda fields: "yes" if fields["accessibilite_pmr_grouped"] == "Accessible mais non réservé PMR" else ("no" if fields["accessibilite_pmr_grouped"] == "Non accessible" else None),
"socket:typee": lambda fields: fields["nb_EF_grouped"] if fields["nb_EF_grouped"] != "0" else None,
"socket:type2": lambda fields: fields["nb_T2_grouped"] if fields["nb_T2_grouped"] != "0" else None,
"socket:type2_combo": lambda fields: fields["nb_combo_ccs_grouped"] if fields["nb_combo_ccs_grouped"] != "0" else None,
"socket:chademo": lambda fields: fields["nb_chademo_grouped"] if fields["nb_chademo_grouped"] != "0" else None
},
text=lambda tags, fields: {"en": "{0}, {1}, {2}".format(fields["nom_station"], fields["adresse_station"], fields["observations"] if fields["observations"] != "null" else "-")})))