forked from Ponysearch/Ponysearch
[pylint] searx_extra/update/update_osm_keys_tags.py
BTW: move some comments into script's doc-string Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
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1 changed files with 53 additions and 48 deletions
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@ -1,12 +1,43 @@
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#!/usr/bin/env python
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"""
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Fetch OSM keys and tags
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# lint: pylint
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# pylint: disable=missing-function-docstring
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"""Fetch OSM keys and tags.
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to get the i18n names, the scripts uses query.wikidata.org
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instead of for example https://taginfo.openstreetmap.org/taginfo/apidoc
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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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.. _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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https://map.atownsend.org.uk/maps/map/changelog.html (the actual change log)
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might be useful to normalize OSM tags
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"""
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import json
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@ -19,50 +50,28 @@ from searx.engines.wikidata import send_wikidata_query
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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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# nominatim return type category and type
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# the tag is "Tag:{category}={type}"
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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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SARQL_TAGS_REQUEST = """
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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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GROUP BY ?tag ?item ?itemLabel
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ORDER BY ?tag ?item ?itemLabel
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"""
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# keys
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# 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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#
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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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SARQL_KEYS_REQUEST = """
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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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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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@ -71,11 +80,11 @@ PRESET_KEYS = {
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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 = {
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('addr', )
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}
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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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@ -85,10 +94,9 @@ def get_preset_keys():
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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 = send_wikidata_query(SARQL_KEYS_REQUEST)
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response = 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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@ -136,7 +144,7 @@ def get_keys():
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def get_tags():
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results = collections.OrderedDict()
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response = send_wikidata_query(SARQL_TAGS_REQUEST)
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response = 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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@ -149,7 +157,6 @@ def get_tags():
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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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@ -174,14 +181,12 @@ def optimize_data_lang(translations):
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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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@ -190,15 +195,15 @@ def optimize_keys(data):
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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') as f:
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json.dump(result, f, indent=4, ensure_ascii=False)
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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') as f:
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json.dump(result, f, indent=4, ensure_ascii=False)
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