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analyser_merge_healthcare_FR_finess.py
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analyser_merge_healthcare_FR_finess.py
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#!/usr/bin/env python
#-*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Frédéric Rodrigo 2018 ##
## ##
## 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/>. ##
## ##
###########################################################################
import json
import csv
import io
from modules.OsmoseTranslation import T_
from .Analyser_Merge_Dynamic import Analyser_Merge_Dynamic, SubAnalyser_Merge_Dynamic
from .Analyser_Merge import SourceDataGouv, CSV, Load, Conflate, Select, Mapping
class Analyser_Merge_Healthcare_FR_Finess(Analyser_Merge_Dynamic):
def __init__(self, config, logger = None):
Analyser_Merge_Dynamic.__init__(self, config, logger)
if config.db_schema == 'france_guadeloupe':
srid = 2970
is_in = lambda dep: dep == "9A"
elif config.db_schema == 'france_guyane':
srid = 2972
is_in = lambda dep: dep == "9C"
elif config.db_schema == 'france_reunion':
srid = 2975
is_in = lambda dep: dep == "9D"
elif config.db_schema == 'france_martinique':
srid = 2973
is_in = lambda dep: dep == "9B"
elif config.db_schema == 'france_saintpierreetmiquelon':
srid = 32621
is_in = lambda dep: dep == "9E"
elif config.db_schema == 'france_mayotte':
srid = 32738
is_in = lambda dep: dep == "9F"
else:
srid = 2154
is_in = lambda dep: dep not in ("9A", "9B", "9C", "9D")
mapingfile = json.loads(open("merge_data/healthcare_FR_finess.mapping.json").read())
for r in mapingfile:
self.classFactory(SubAnalyser_Merge_Healthcare_FR_Finess, r['classes'], srid, is_in, r['categories'], r['items'], r.get('missing_osm', True), r['classes'], r['level'], r['title:fr'], r['tags_select'], r['tags_generate1'], r['tags_generate2'])
class SubAnalyser_Merge_Healthcare_FR_Finess(SubAnalyser_Merge_Dynamic):
def __init__(self, config, error_file, logger, srid, is_in, categories, items, missing_osm, classs, level, title, tags_select, tags_generate1, tags_generate2):
SubAnalyser_Merge_Dynamic.__init__(self, config, error_file, logger)
self.def_class_missing_official(item =str(items[0]), id = classs+1, level = level, tags = ['merge', 'public equipment', 'fix:imagery', 'fix:survey'],
title = T_('{0} not integrated', title))
if missing_osm is not False:
self.def_class_missing_osm(item =str(items[1]), id = classs+2, level = level, tags = ['merge', 'public equipment', 'fix:chair'],
title = T_('{0} without tag "{1}" or invalid', title, 'ref:FR:FINESS'))
self.def_class_possible_merge(item =str(items[0]+1), id = classs+3, level = level, tags = ['merge', 'public equipment', 'fix:chair', 'fix:survey'],
title = T_('{0}, integration suggestion', title))
self.init(
"https://www.data.gouv.fr/fr/datasets/finess-extraction-du-fichier-des-etablissements/",
"FINESS Extraction du Fichier des établissements",
CSV(Source_Finess(
attribution="Le ministère des solidarités et de la santé",
encoding="ISO-8859-1",
dataset="53699569a3a729239d2046eb",
resource="16ee2cd3-b9fe-459e-8a57-46e03ba3adbd")),
Load("coordxet", "coordyet", srid = srid,
select = {"categetab": categories},
where = lambda res: is_in(res["departement"])),
Conflate(
select = Select(
types = ["nodes", "ways", "relations"],
tags = tags_select),
osmRef = "ref:FR:FINESS",
conflationDistance = 200,
mapping = Mapping(
static1 = tags_generate1,
static2 = dict({"source": self.source}, **tags_generate2),
mapping1 = {"ref:FR:FINESS": "nofinesset"},
mapping2 = {
"type:FR:FINESS": "categetab",
"ref:FR:SIRET": "siret",
"phone": lambda fields: self.phone(fields["telephone"]),
"fax": lambda fields: self.phone(fields["telecopie"]),
},
text = lambda tags, fields: {"en": ", ".join(filter(lambda i: i not in (None, 'None'), [fields["rs"], fields["rslongue"], fields["complrs"], fields["compldistrib"], fields["numvoie"], fields["typvoie"], fields["voie"], fields["compvoie"], fields["lieuditbp"], fields["ligneacheminement"], fields["libcategetab"], fields["numuai"]]))} )))
def phone(self, number):
if number and len(number) == 10 and number[0] == "0":
return "+33" + number[1:]
class Source_Finess(SourceDataGouv):
def open(self):
# Cheat the parent open
self.encoding = 'UTF-8'
f = super().open()
csvreader = csv.reader(f, delimiter=u';')
structureet = [u'nofinesset,nofinessej,rs,rslongue,complrs,compldistrib,numvoie,typvoie,voie,compvoie,lieuditbp,commune,departement,libdepartement,ligneacheminement,telephone,telecopie,categetab,libcategetab,categagretab,libcategagretab,siret,codeape,codemft,libmft,codesph,libsph,dateouv,dateautor,datemaj,numuai,coordxet,coordyet,sourcecoordet,datemajcoord'.split(',')]
geolocalisation = {}
for row in csvreader:
if row[0] == 'structureet':
structureet.append(row[1:])
elif row[0] == 'geolocalisation':
geolocalisation[row[1]] = row[2:]
for row in structureet:
row += geolocalisation.get(row[0], [])
csvfile = io.StringIO()
writer = csv.writer(csvfile)
for row in structureet:
writer.writerow(row)
csvfile.seek(0)
return csvfile