expected_count = sum(t.count for t in hnrs)
partials = {t.token: t.addr_count for trange in address
- for t in self.query.get_partials_list(trange)}
+ for t in self.query.get_partials_list(trange)
+ if t.is_indexed}
+
+ if not partials:
+ # can happen when none of the partials is indexed
+ return
if expected_count < 8000:
sdata.lookups.append(dbf.FieldLookup('nameaddress_vector',
def _dump_word_tokens(query: qmod.QueryStruct) -> Iterator[List[Any]]:
- yield ['type', 'token', 'word_token', 'lookup_word', 'penalty', 'count', 'info']
+ yield ['type', 'token', 'word_token', 'lookup_word', 'penalty', 'count', 'info', 'indexed']
for node in query.nodes:
for tlist in node.starting:
for token in tlist.tokens:
t = cast(LegacyToken, token)
yield [tlist.ttype.name, t.token, t.word_token or '',
- t.lookup_word or '', t.penalty, t.count, t.info]
+ t.lookup_word or '', t.penalty, t.count, t.info,
+ 'Y' if t.is_indexed else 'N']
async def create_query_analyzer(conn: SearchConnection) -> AbstractQueryAnalyzer: