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219 lines
6.9 KiB
Python
Executable File
219 lines
6.9 KiB
Python
Executable File
#!/usr/bin/env python
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# lint: pylint
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# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Fetch OSM keys and tags.
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To get the i18n names, the scripts uses `Wikidata Query Service`_ instead of for
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example `OSM tags API`_ (sidenote: the actual change log from
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map.atownsend.org.uk_ might be useful to normalize OSM tags).
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Output file: :origin:`searx/data/osm_keys_tags` (:origin:`CI Update data ...
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<.github/workflows/data-update.yml>`).
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.. _Wikidata Query Service: https://query.wikidata.org/
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.. _OSM tags API: https://taginfo.openstreetmap.org/taginfo/apidoc
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.. _map.atownsend.org.uk: https://map.atownsend.org.uk/maps/map/changelog.html
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:py:obj:`SPARQL_TAGS_REQUEST` :
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Wikidata SPARQL query that returns *type-categories* and *types*. The
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returned tag is ``Tag:{category}={type}`` (see :py:func:`get_tags`).
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Example:
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- https://taginfo.openstreetmap.org/tags/building=house#overview
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- https://wiki.openstreetmap.org/wiki/Tag:building%3Dhouse
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at the bottom of the infobox (right side), there is a link to wikidata:
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https://www.wikidata.org/wiki/Q3947
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see property "OpenStreetMap tag or key" (P1282)
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- https://wiki.openstreetmap.org/wiki/Tag%3Abuilding%3Dbungalow
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https://www.wikidata.org/wiki/Q850107
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:py:obj:`SPARQL_KEYS_REQUEST` :
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Wikidata SPARQL query that returns *keys*. Example with "payment":
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- https://wiki.openstreetmap.org/wiki/Key%3Apayment
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at the bottom of infobox (right side), there is a link to wikidata:
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https://www.wikidata.org/wiki/Q1148747
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link made using the "OpenStreetMap tag or key" property (P1282)
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to be confirm: there is a one wiki page per key ?
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- https://taginfo.openstreetmap.org/keys/payment#values
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- https://taginfo.openstreetmap.org/keys/payment:cash#values
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``rdfs:label`` get all the labels without language selection
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(as opposed to SERVICE ``wikibase:label``).
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"""
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import json
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import collections
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from pathlib import Path
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from searx import searx_dir
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from searx.network import set_timeout_for_thread
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from searx.engines import wikidata, set_loggers
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from searx.languages import language_codes
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from searx.engines.openstreetmap import get_key_rank, VALUE_TO_LINK
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set_loggers(wikidata, 'wikidata')
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SPARQL_TAGS_REQUEST = """
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SELECT ?tag ?item ?itemLabel WHERE {
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?item wdt:P1282 ?tag .
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?item rdfs:label ?itemLabel .
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FILTER(STRSTARTS(?tag, 'Tag'))
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}
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GROUP BY ?tag ?item ?itemLabel
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ORDER BY ?tag ?item ?itemLabel
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"""
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SPARQL_KEYS_REQUEST = """
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SELECT ?key ?item ?itemLabel WHERE {
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?item wdt:P1282 ?key .
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?item rdfs:label ?itemLabel .
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FILTER(STRSTARTS(?key, 'Key'))
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}
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GROUP BY ?key ?item ?itemLabel
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ORDER BY ?key ?item ?itemLabel
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"""
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LANGUAGES = [l[0].lower() for l in language_codes]
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PRESET_KEYS = {
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('wikidata',): {'en': 'Wikidata'},
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('wikipedia',): {'en': 'Wikipedia'},
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('email',): {'en': 'Email'},
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('facebook',): {'en': 'Facebook'},
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('fax',): {'en': 'Fax'},
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('internet_access', 'ssid'): {'en': 'Wi-Fi'},
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}
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INCLUDED_KEYS = {('addr',)}
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def get_preset_keys():
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results = collections.OrderedDict()
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for keys, value in PRESET_KEYS.items():
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r = results
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for k in keys:
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r = r.setdefault(k, {})
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r.setdefault('*', value)
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return results
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def get_keys():
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results = get_preset_keys()
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response = wikidata.send_wikidata_query(SPARQL_KEYS_REQUEST)
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for key in response['results']['bindings']:
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keys = key['key']['value'].split(':')[1:]
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if keys[0] == 'currency' and len(keys) > 1:
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# special case in openstreetmap.py
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continue
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if keys[0] == 'contact' and len(keys) > 1:
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# label for the key "contact.email" is "Email"
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# whatever the language
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r = results.setdefault('contact', {})
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r[keys[1]] = {'*': {'en': keys[1]}}
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continue
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if tuple(keys) in PRESET_KEYS:
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# skip presets (already set above)
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continue
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if (
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get_key_rank(':'.join(keys)) is None
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and ':'.join(keys) not in VALUE_TO_LINK
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and tuple(keys) not in INCLUDED_KEYS
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):
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# keep only keys that will be displayed by openstreetmap.py
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continue
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label = key['itemLabel']['value'].lower()
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lang = key['itemLabel']['xml:lang']
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r = results
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for k in keys:
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r = r.setdefault(k, {})
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r = r.setdefault('*', {})
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if lang in LANGUAGES:
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r.setdefault(lang, label)
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# special cases
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results['delivery']['covid19']['*'].clear()
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for k, v in results['delivery']['*'].items():
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results['delivery']['covid19']['*'][k] = v + ' (COVID19)'
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results['opening_hours']['covid19']['*'].clear()
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for k, v in results['opening_hours']['*'].items():
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results['opening_hours']['covid19']['*'][k] = v + ' (COVID19)'
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return results
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def get_tags():
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results = collections.OrderedDict()
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response = wikidata.send_wikidata_query(SPARQL_TAGS_REQUEST)
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for tag in response['results']['bindings']:
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tag_names = tag['tag']['value'].split(':')[1].split('=')
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if len(tag_names) == 2:
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tag_category, tag_type = tag_names
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else:
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tag_category, tag_type = tag_names[0], ''
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label = tag['itemLabel']['value'].lower()
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lang = tag['itemLabel']['xml:lang']
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if lang in LANGUAGES:
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results.setdefault(tag_category, {}).setdefault(tag_type, {}).setdefault(lang, label)
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return results
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def optimize_data_lang(translations):
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language_to_delete = []
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# remove "zh-hk" entry if the value is the same as "zh"
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# same for "en-ca" / "en" etc...
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for language in translations:
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if '-' in language:
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base_language = language.split('-')[0]
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if translations.get(base_language) == translations.get(language):
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language_to_delete.append(language)
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for language in language_to_delete:
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del translations[language]
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language_to_delete = []
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# remove entries that have the same value than the "en" entry
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value_en = translations.get('en')
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if value_en:
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for language, value in translations.items():
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if language != 'en' and value == value_en:
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language_to_delete.append(language)
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for language in language_to_delete:
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del translations[language]
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def optimize_tags(data):
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for v in data.values():
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for translations in v.values():
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optimize_data_lang(translations)
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return data
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def optimize_keys(data):
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for k, v in data.items():
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if k == '*':
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optimize_data_lang(v)
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elif isinstance(v, dict):
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optimize_keys(v)
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return data
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def get_osm_tags_filename():
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return Path(searx_dir) / "data" / "osm_keys_tags.json"
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if __name__ == '__main__':
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set_timeout_for_thread(60)
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result = {
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'keys': optimize_keys(get_keys()),
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'tags': optimize_tags(get_tags()),
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}
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with open(get_osm_tags_filename(), 'w', encoding="utf8") as f:
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json.dump(result, f, indent=4, ensure_ascii=False)
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