-
Notifications
You must be signed in to change notification settings - Fork 116
/
analyser_merge_defibrillators_FR_paris.py
51 lines (46 loc) · 2.85 KB
/
analyser_merge_defibrillators_FR_paris.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
#!/usr/bin/env python
#-*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Nicolas Bétheuil 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_Point, SourceDataGouv, CSV, Load_XY, Conflate, Select, Mapping
class Analyser_Merge_defibrillators_FR_paris(Analyser_Merge_Point):
def __init__(self, config, logger = None):
Analyser_Merge_Point.__init__(self, config, logger)
self.def_class_missing_official(item = 8370, id = 30, level = 3, tags = ['merge', 'emergency', 'fix:picture', 'fix:survey'],
title = T_('Defibrillator not integrated'))
self.init(
"https://www.data.gouv.fr/fr/datasets/batiments-publics-equipes-de-defibrillateurs-a-paris/",
"Défibrillateurs à Paris",
CSV(
SourceDataGouv(
attribution="data.gouv.fr:Mairie de Paris",
dataset="5addf594c751df48fa763949",
resource="d2b94d3d-977d-4dcb-ab8c-77e2568de736"),
separator=";"),
Load_XY("longitude", "latitude"),
Conflate(
select = Select(
types = ["nodes", "ways", "relations"],
tags = {"emergency": "defibrillator"}),
conflationDistance = 50,
mapping = Mapping(
static1 = {"emergency": "defibrillator"},
static2 = {"source": self.source},
text = lambda tags, fields: {"en": ', '.join(filter(lambda x: x, [fields["Type"], fields["Nom"], fields["Addresse"]]))} )))