exp_count = min(exp_count, min(t.count for t in addr_partials)) \
if addr_partials else exp_count
- if exp_count < 1000 and len(addr_tokens) > 3 and partials_indexed:
- # Lookup by address partials and restrict results through name terms.
- # Give this a small penalty because lookups in the address index are
- # more expensive
- yield penalty + exp_count/5000, exp_count,\
- dbf.lookup_by_addr(name_tokens, addr_tokens)
- return
# Partial term to frequent. Try looking up by rare full names first.
name_fulls = self.query.get_tokens(name, TokenType.WORD)
assert set(search.countries.values) == {'en'}
-def test_country_search_with_confllicting_country_restriction():
+def test_country_search_with_conflicting_country_restriction():
q = make_query([(1, TokenType.COUNTRY, [(2, 'de'), (3, 'en')])])
builder = SearchBuilder(q, SearchDetails.from_kwargs({'countries': 'fr'}))
{('name_vector', 'lookup_all'), ('nameaddress_vector', 'restrict')}
-def test_frequent_partials_in_name_but_not_in_address():
- searches = make_counted_searches(10000, 1, 1, 1, num_address_parts=4)
-
- assert len(searches) == 1
- search = searches[0]
-
- assert isinstance(search, dbs.PlaceSearch)
- assert len(search.lookups) == 2
- assert len(search.rankings) == 2
-
- assert set((l.column, l.lookup_type) for l in search.lookups) == \
- {('nameaddress_vector', 'lookup_all'), ('name_vector', 'restrict')}
-
-
def test_frequent_partials_in_name_and_address():
searches = make_counted_searches(9999, 1, 9999, 1)