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analyser_merge_museum_FR.py
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analyser_merge_museum_FR.py
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#!/usr/bin/env python
#-*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Jérôme Amagat 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, SourceDataGouv, CSV, Load, Conflate, Select, Mapping
import re
class Analyser_Merge_Museum_FR(Analyser_Merge):
def __init__(self, config, logger = None):
Analyser_Merge.__init__(self, config, logger)
self.def_class_missing_official(item = 8010, id = 31, level = 3, tags = ['merge', 'tourism', 'fix:survey', 'fix:picture'],
title = T_('Museum not integrated'))
self.def_class_possible_merge(item = 8011, id = 33, level = 3, tags = ['merge', 'tourism', 'fix:survey', 'fix:picture', 'fix:chair'],
title = T_('Museum, integration suggestion'))
re_phone = re.compile("^0[0-9] [0-9]{2} [0-9]{2} [0-9]{2} [0-9]{2}$")
self.init(
"https://www.data.gouv.fr/fr/datasets/musees-de-france-base-museofile/",
"Musées de France : base Muséofile",
CSV(
SourceDataGouv(
attribution="Ministère de la Culture - Muséofile",
dataset="5d12ee8206e3e762c0c89a4c",
resource="5ccd6238-4fb0-4b2c-b14a-581909489320"),
separator=';'),
Load("geolocalisation", "geolocalisation",
where = lambda row: row["geolocalisation"],
xFunction = lambda x: x and x.split(',')[1],
yFunction = lambda y: y and y.split(',')[0]),
Conflate(
select = Select(
types = ["nodes", "ways", "relations"],
tags = {"tourism": "museum"}),
conflationDistance = 300,
osmRef = "ref:FR:museofile",
mapping = Mapping(
static1 = {"tourism": "museum"},
static2 = {"source": self.source},
mapping1 = {"ref:FR:museofile": "ref"},
mapping2 = {
"website": lambda res: None if not res["url_m"] else res["url_m"] if res["url_m"].startswith('http') else 'http://' + res["url_m"],
"phone": lambda res: "+33 " + res["tel_m"][1:] if res["tel_m"] and re_phone.match(res["tel_m"]) else None,
"name": lambda res: res["nomusage"][0].upper() + res["nomusage"][1:] if res["nomusage"] else res["nomoff"][0].upper() + res["nomoff"][1:] if res["nomoff"] else None,
"official_name": lambda res: res["nomoff"][0].upper() + res["nomoff"][1:] if res["nomusage"] and res["nomoff"].lower() != res["nomusage"].lower() else None},
text = lambda tags, fields: {"en": ' '.join(filter(lambda x: x, [fields["adrl1_m"], fields["cp_m"], fields["ville_m"]]))} )))