66 lines
2.9 KiB
Python
66 lines
2.9 KiB
Python
# Available modules: logging, requests, json, re, etree. But importing these helps catch other errors
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import json
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import re
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import logging
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# Verify this at http://data.mos.ru/opendata/1421/passport ("Download .json")
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# Disabled since the link returns a zip file and not a plain json
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# download_url = 'http://op.mos.ru/EHDWSREST/catalog/export/get?id=89786'
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# What will be put into "source" tags. Lower case please
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source = 'dit.mos.ru'
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# A fairly unique id of the dataset to query OSM, used for "ref:mos_parking" tags
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# If you omit it, set explicitly "no_dataset_id = True"
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dataset_id = 'mos_parking'
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# Tags for querying with overpass api
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query = [('amenity', 'vending_machine'), ('vending', 'parking_tickets')]
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# Use bbox from dataset points (default). False = query whole world, [minlat, minlon, maxlat, maxlon] to override
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bbox = True
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# How close OSM point should be to register a match. Default is 0.001 (~110 m)
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max_distance = 0.0003 # ~30 m
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# Delete objects that match query tags but not dataset? False is the default
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delete_unmatched = False
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# If set, modify tags on unmatched objects instead
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tag_unmatched = {
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'fixme': 'Проверить на местности: в данных ДИТ отсутствует. Вероятно, демонтирован',
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'amenity': None,
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'was:amenity': 'vending_machine'
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}
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# A set of authoritative tags to replace on matched objects
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master_tags = set(('zone:parking', 'ref', 'contact:phone', 'contact:website', 'operator'))
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# A list of SourcePoint objects. Initialize with (id, lat, lon, {tags}).
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def dataset(fileobj):
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source = json.loads(fileobj.read().decode('cp1251'))
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RE_NUM4 = re.compile(r'\d{4,6}')
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data = []
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for el in source:
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try:
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gid = el['global_id']
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zone = el['ParkingZoneNumber']
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lon = el['Longitude_WGS84']
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lat = el['Latitude_WGS84']
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pnum = el['NumberOfParkingMeter']
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tags = {
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'amenity': 'vending_machine',
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'vending': 'parking_tickets',
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'zone:parking': zone,
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'contact:phone': '+7 495 539-54-54',
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'contact:website': 'http://parking.mos.ru/',
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'opening_hours': '24/7',
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'operator': 'ГКУ «Администратор Московского парковочного пространства»',
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'payment:cash': 'no',
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'payment:credit_cards': 'yes',
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'payment:debit_cards': 'yes'
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}
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try:
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lat = float(lat)
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lon = float(lon)
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tags['ref'] = RE_NUM4.search(pnum).group(0)
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data.append(SourcePoint(gid, lat, lon, tags))
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except Exception as e:
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logging.warning('PROFILE: Failed to parse lat/lon/ref for parking meter %s: %s', gid, str(e))
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except Exception as e:
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logging.warning('PROFILE: Failed to get attributes for parking meter: %s', str(e))
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return data
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