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analyser_merge_pitch_FR.py
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analyser_merge_pitch_FR.py
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#!/usr/bin/env python
#-*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Frédéric Rodrigo 2014-2016 ##
## ##
## 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 io import open # In python3 only, this import is not required
from backports import csv # In python3 only just "import csv"
from .Analyser_Merge_Dynamic import Analyser_Merge_Dynamic, SubAnalyser_Merge_Dynamic
from .Analyser_Merge import Source, CSV, Load, Mapping, Select, Generate
class Analyser_Merge_Pitch_FR(Analyser_Merge_Dynamic):
def __init__(self, config, logger = None):
Analyser_Merge_Dynamic.__init__(self, config, logger)
with open("merge_data/pitch_FR.mapping.csv") as mappingfile:
spamreader = csv.reader(mappingfile)
for row in spamreader:
classs, topic = row[0:2]
tags = list(map(lambda t: t.split('=') if t else None, row[2:5]))
osmTags = dict(filter(lambda t: t, tags[0:2]))
if len(osmTags) > 0:
defaultTags = dict(filter(lambda t: t, tags[2:3]))
self.classFactory(SubAnalyser_Merge_Pitch_FR, classs, classs, topic, osmTags, defaultTags)
class SubAnalyser_Merge_Pitch_FR(SubAnalyser_Merge_Dynamic):
def __init__(self, config, error_file, logger, classs, topic, osmTags, defaultTags):
SubAnalyser_Merge_Dynamic.__init__(self, config, error_file, logger)
self.missing_official = self.def_class(item = 8170, id = classs, level = 3, tags = ['merge', 'leisure'],
title = T_f('Pitch not integrated {0}', topic))
self.init(
u"http://www.data.gouv.fr/fr/dataset/recensement-des-equipements-sportifs-espaces-et-sites-de-pratiques",
u"Recensement des équipements sportifs, espaces et sites de pratiques",
CSV(Source(attribution = u"Le ministère de la ville, de la jeunesse et des sports", millesime = "01/2018",
fileUrl = u"https://www.data.gouv.fr/s/resources/recensement-des-equipements-sportifs-espaces-et-sites-de-pratiques/20180112-114703/20180110_RES_FichesEquipements.zip", zip = "20180110_RES_FichesEquipements.csv", encoding = "ISO-8859-15"),
separator = u';'),
Load("EquGpsX", "EquGpsY",
select = {"EquipementTypeLib": topic},
where = lambda row: self.validLatLon(row)),
Mapping(
select = Select(
types = ["nodes", "ways", "relations"],
tags = osmTags),
conflationDistance = 200,
generate = Generate(
static1 = dict(dict(**osmTags), **defaultTags),
static2 = {"source": self.source},
mapping1 = {"surface": self.surface},
text = lambda tags, fields: {"en": ", ".join(filter(lambda i: i is not None, [fields["EquipementTypeLib"], fields["InsNo"], fields["EquNom"], fields["EquNomBatiment"]]))} )))
def validLatLon(self, row):
if abs(float(row["EquGpsX"])) <= 180 and abs(float(row["EquGpsY"])) <= 90:
return row
else:
return []
surfaceMap = {
u"Sable": "sand",
u"Gazon naturel": "grass",
u"Bitume": "asphalt",
u"Béton": "concrete",
u"Gazon synthétique": "artificial_turf",
u"Bois": "wood",
u"Terre battue": "clay",
u"Métal": "metal",
}
def surface(self, res):
if res["NatureSolLib"] in self.surfaceMap:
return self.surfaceMap[res["NatureSolLib"]]
else:
return None