X-Git-Url: https://git.openstreetmap.org/nominatim.git/blobdiff_plain/5360384b7024fb2a1f84fee55511beef41c3fd46..f2b2b2b92ca87fdf6ae8fcd7062db76ff4c42f51:/nominatim/api/search/icu_tokenizer.py diff --git a/nominatim/api/search/icu_tokenizer.py b/nominatim/api/search/icu_tokenizer.py index d2cdd96e..23cfa5a1 100644 --- a/nominatim/api/search/icu_tokenizer.py +++ b/nominatim/api/search/icu_tokenizer.py @@ -8,7 +8,6 @@ Implementation of query analysis for the ICU tokenizer. """ from typing import Tuple, Dict, List, Optional, NamedTuple, Iterator, Any, cast -from copy import copy from collections import defaultdict import dataclasses import difflib @@ -22,6 +21,7 @@ from nominatim.api.connection import SearchConnection from nominatim.api.logging import log from nominatim.api.search import query as qmod from nominatim.api.search.query_analyzer_factory import AbstractQueryAnalyzer +from nominatim.db.sqlalchemy_types import Json DB_TO_TOKEN_TYPE = { @@ -97,14 +97,21 @@ class ICUToken(qmod.Token): """ Create a ICUToken from the row of the word table. """ count = 1 if row.info is None else row.info.get('count', 1) + addr_count = 1 if row.info is None else row.info.get('addr_count', 1) penalty = 0.0 if row.type == 'w': penalty = 0.3 + elif row.type == 'W': + if len(row.word_token) == 1 and row.word_token == row.word: + penalty = 0.2 if row.word.isdigit() else 0.3 elif row.type == 'H': penalty = sum(0.1 for c in row.word_token if c != ' ' and not c.isdigit()) if all(not c.isdigit() for c in row.word_token): penalty += 0.2 * (len(row.word_token) - 1) + elif row.type == 'C': + if len(row.word_token) == 1: + penalty = 0.3 if row.info is None: lookup_word = row.word @@ -117,7 +124,8 @@ class ICUToken(qmod.Token): return ICUToken(penalty=penalty, token=row.word_id, count=count, lookup_word=lookup_word, is_indexed=True, - word_token=row.word_token, info=row.info) + word_token=row.word_token, info=row.info, + addr_count=addr_count) @@ -153,7 +161,7 @@ class ICUQueryAnalyzer(AbstractQueryAnalyzer): sa.Column('word_token', sa.Text, nullable=False), sa.Column('type', sa.Text, nullable=False), sa.Column('word', sa.Text), - sa.Column('info', self.conn.t.types.Json)) + sa.Column('info', Json)) async def analyze_query(self, phrases: List[qmod.Phrase]) -> qmod.QueryStruct: @@ -178,13 +186,12 @@ class ICUQueryAnalyzer(AbstractQueryAnalyzer): if row.type == 'S': if row.info['op'] in ('in', 'near'): if trange.start == 0: - query.add_token(trange, qmod.TokenType.CATEGORY, token) + query.add_token(trange, qmod.TokenType.NEAR_ITEM, token) else: - query.add_token(trange, qmod.TokenType.QUALIFIER, token) - if trange.start == 0 or trange.end == query.num_token_slots(): - token = copy(token) - token.penalty += 0.1 * (query.num_token_slots()) - query.add_token(trange, qmod.TokenType.CATEGORY, token) + if trange.start == 0 and trange.end == query.num_token_slots(): + query.add_token(trange, qmod.TokenType.NEAR_ITEM, token) + else: + query.add_token(trange, qmod.TokenType.QUALIFIER, token) else: query.add_token(trange, DB_TO_TOKEN_TYPE[row.type], token) @@ -257,7 +264,7 @@ class ICUQueryAnalyzer(AbstractQueryAnalyzer): if len(part.token) <= 4 and part[0].isdigit()\ and not node.has_tokens(i+1, qmod.TokenType.HOUSENUMBER): query.add_token(qmod.TokenRange(i, i+1), qmod.TokenType.HOUSENUMBER, - ICUToken(0.5, 0, 1, part.token, True, part.token, None)) + ICUToken(0.5, 0, 1, 1, part.token, True, part.token, None)) def rerank_tokens(self, query: qmod.QueryStruct, parts: QueryParts) -> None: