forked from hans/Nominatim
simplify handling of SQL lookup code for search_name
Use function classes which can be instantiated directly.
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@@ -15,6 +15,7 @@ from nominatim.api.search.query import QueryStruct, Token, TokenType, TokenRange
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from nominatim.api.search.token_assignment import TokenAssignment
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import nominatim.api.search.db_search_fields as dbf
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import nominatim.api.search.db_searches as dbs
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import nominatim.api.search.db_search_lookups as lookups
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def wrap_near_search(categories: List[Tuple[str, str]],
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@@ -152,7 +153,7 @@ class SearchBuilder:
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sdata.lookups = [dbf.FieldLookup('nameaddress_vector',
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[t.token for r in address
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for t in self.query.get_partials_list(r)],
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'restrict')]
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lookups.Restrict)]
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penalty += 0.2
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yield dbs.PostcodeSearch(penalty, sdata)
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@@ -162,7 +163,7 @@ class SearchBuilder:
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""" Build a simple address search for special entries where the
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housenumber is the main name token.
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"""
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sdata.lookups = [dbf.FieldLookup('name_vector', [t.token for t in hnrs], 'lookup_any')]
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sdata.lookups = [dbf.FieldLookup('name_vector', [t.token for t in hnrs], lookups.LookupAny)]
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expected_count = sum(t.count for t in hnrs)
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partials = [t for trange in address
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@@ -170,16 +171,16 @@ class SearchBuilder:
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if expected_count < 8000:
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sdata.lookups.append(dbf.FieldLookup('nameaddress_vector',
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[t.token for t in partials], 'restrict'))
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[t.token for t in partials], lookups.Restrict))
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elif len(partials) != 1 or partials[0].count < 10000:
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sdata.lookups.append(dbf.FieldLookup('nameaddress_vector',
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[t.token for t in partials], 'lookup_all'))
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[t.token for t in partials], lookups.LookupAll))
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else:
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sdata.lookups.append(
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dbf.FieldLookup('nameaddress_vector',
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[t.token for t
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in self.query.get_tokens(address[0], TokenType.WORD)],
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'lookup_any'))
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lookups.LookupAny))
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sdata.housenumbers = dbf.WeightedStrings([], [])
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yield dbs.PlaceSearch(0.05, sdata, expected_count)
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@@ -232,16 +233,16 @@ class SearchBuilder:
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penalty += 1.2 * sum(t.penalty for t in addr_partials if not t.is_indexed)
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# Any of the full names applies with all of the partials from the address
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yield penalty, fulls_count / (2**len(addr_partials)),\
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dbf.lookup_by_any_name([t.token for t in name_fulls], addr_tokens,
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'restrict' if fulls_count < 10000 else 'lookup_all')
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dbf.lookup_by_any_name([t.token for t in name_fulls],
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addr_tokens, fulls_count > 10000)
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# To catch remaining results, lookup by name and address
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# We only do this if there is a reasonable number of results expected.
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exp_count = exp_count / (2**len(addr_partials)) if addr_partials else exp_count
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if exp_count < 10000 and all(t.is_indexed for t in name_partials):
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lookup = [dbf.FieldLookup('name_vector', name_tokens, 'lookup_all')]
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lookup = [dbf.FieldLookup('name_vector', name_tokens, lookups.LookupAll)]
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if addr_tokens:
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lookup.append(dbf.FieldLookup('nameaddress_vector', addr_tokens, 'lookup_all'))
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lookup.append(dbf.FieldLookup('nameaddress_vector', addr_tokens, lookups.LookupAll))
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penalty += 0.35 * max(0, 5 - len(name_partials) - len(addr_tokens))
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yield penalty, exp_count, lookup
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