"""
Data structures for more complex fields in abstract search descriptions.
"""
-from typing import List, Tuple, Iterator, cast, Dict
+from typing import List, Tuple, Iterator, Dict, Type
import dataclasses
import sqlalchemy as sa
from nominatim.typing import SaFromClause, SaColumn, SaExpression
from nominatim.api.search.query import Token
+import nominatim.api.search.db_search_lookups as lookups
+from nominatim.utils.json_writer import JsonWriter
+
@dataclasses.dataclass
class WeightedStrings:
def with_token(self, t: Token, transition_penalty: float) -> 'RankedTokens':
""" Create a new RankedTokens list with the given token appended.
- The tokens penalty as well as the given transision penalty
+ The tokens penalty as well as the given transition penalty
are added to the overall penalty.
"""
return RankedTokens(self.penalty + t.penalty + transition_penalty,
"""
assert self.rankings
- return sa.func.weigh_search(table.c[self.column],
- [f"{{{','.join((str(s) for s in r.tokens))}}}"
- for r in self.rankings],
- [r.penalty for r in self.rankings],
- self.default)
+ rout = JsonWriter().start_array()
+ for rank in self.rankings:
+ rout.start_array().value(rank.penalty).next()
+ rout.start_array()
+ for token in rank.tokens:
+ rout.value(token).next()
+ rout.end_array()
+ rout.end_array().next()
+ rout.end_array()
+
+ return sa.func.weigh_search(table.c[self.column], rout(), self.default)
@dataclasses.dataclass
"""
column: str
tokens: List[int]
- lookup_type: str
+ lookup_type: Type[lookups.LookupType]
def sql_condition(self, table: SaFromClause) -> SaColumn:
""" Create an SQL expression for the given match condition.
"""
- col = table.c[self.column]
- if self.lookup_type == 'lookup_all':
- return col.contains(self.tokens)
- if self.lookup_type == 'lookup_any':
- return cast(SaColumn, col.overlaps(self.tokens))
-
- return sa.func.coalesce(sa.null(), col).contains(self.tokens) # pylint: disable=not-callable
+ return self.lookup_type(table, self.column, self.tokens)
class SearchData:
categories: Dict[Tuple[str, str], float] = {}
min_penalty = 1000.0
for t in tokens:
- if t.penalty < min_penalty:
- min_penalty = t.penalty
+ min_penalty = min(min_penalty, t.penalty)
cat = t.get_category()
if t.penalty < categories.get(cat, 1000.0):
categories[cat] = t.penalty
""" Create a lookup list where name tokens are looked up via index
and potential address tokens are used to restrict the search further.
"""
- lookup = [FieldLookup('name_vector', name_tokens, 'lookup_all')]
+ lookup = [FieldLookup('name_vector', name_tokens, lookups.LookupAll)]
if addr_tokens:
- lookup.append(FieldLookup('nameaddress_vector', addr_tokens, 'restrict'))
+ lookup.append(FieldLookup('nameaddress_vector', addr_tokens, lookups.Restrict))
return lookup
def lookup_by_any_name(name_tokens: List[int], addr_tokens: List[int],
- lookup_type: str) -> List[FieldLookup]:
+ use_index_for_addr: bool) -> List[FieldLookup]:
""" Create a lookup list where name tokens are looked up via index
and only one of the name tokens must be present.
Potential address tokens are used to restrict the search further.
"""
- lookup = [FieldLookup('name_vector', name_tokens, 'lookup_any')]
+ lookup = [FieldLookup('name_vector', name_tokens, lookups.LookupAny)]
if addr_tokens:
- lookup.append(FieldLookup('nameaddress_vector', addr_tokens, lookup_type))
+ lookup.append(FieldLookup('nameaddress_vector', addr_tokens,
+ lookups.LookupAll if use_index_for_addr else lookups.Restrict))
return lookup
""" Create a lookup list where address tokens are looked up via index
and the name tokens are only used to restrict the search further.
"""
- return [FieldLookup('name_vector', name_tokens, 'restrict'),
- FieldLookup('nameaddress_vector', addr_tokens, 'lookup_all')]
+ return [FieldLookup('name_vector', name_tokens, lookups.Restrict),
+ FieldLookup('nameaddress_vector', addr_tokens, lookups.LookupAll)]