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 = {
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:
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)
+ query.add_token(trange, qmod.TokenType.NEAR_ITEM, token)
else:
query.add_token(trange, DB_TO_TOKEN_TYPE[row.type], token)