extend word statistics to address index

[nominatim.git] / nominatim / api / search / db_search_fields.py

diff --git a/nominatim/api/search/db_search_fields.py b/nominatim/api/search/db_search_fields.py
index 612e90597df2064a4ba6bf19221076093c5c55f7..cd5717753ba722616084dc06bbfb76dda901c0fb 100644 (file)
--- a/nominatim/api/search/db_search_fields.py
+++ b/nominatim/api/search/db_search_fields.py
@@ -7,14 +7,16 @@
 """
 Data structures for more complex fields in abstract search descriptions.
 """
-from typing import List, Tuple, Iterator, cast
+from typing import List, Tuple, Iterator, Dict, Type
 import dataclasses
 
 import sqlalchemy as sa
-from sqlalchemy.dialects.postgresql import ARRAY
 
 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:
@@ -92,7 +94,7 @@ class RankedTokens:
 
     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,
@@ -129,11 +131,17 @@ class FieldRanking:
         """
         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
@@ -146,19 +154,12 @@ class FieldLookup:
     """
     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.overlap(self.tokens))
-
-        return sa.func.array_cat(col, sa.text('ARRAY[]::integer[]'),
-                                 type_=ARRAY(sa.Integer())).contains(self.tokens)
+        return self.lookup_type(table, self.column, self.tokens)
 
 
 class SearchData:
@@ -195,10 +196,16 @@ class SearchData:
         """ Set the qulaifier field from the given tokens.
         """
         if tokens:
-            min_penalty = min(t.penalty for t in tokens)
+            categories: Dict[Tuple[str, str], float] = {}
+            min_penalty = 1000.0
+            for t in tokens:
+                min_penalty = min(min_penalty, t.penalty)
+                cat = t.get_category()
+                if t.penalty < categories.get(cat, 1000.0):
+                    categories[cat] = t.penalty
             self.penalty += min_penalty
-            self.qualifiers = WeightedCategories([t.get_category() for t in tokens],
-                                                 [t.penalty - min_penalty for t in tokens])
+            self.qualifiers = WeightedCategories(list(categories.keys()),
+                                                 list(categories.values()))
 
 
     def set_ranking(self, rankings: List[FieldRanking]) -> None:
@@ -217,22 +224,23 @@ def lookup_by_names(name_tokens: List[int], addr_tokens: List[int]) -> List[Fiel
     """ 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
 
@@ -241,5 +249,5 @@ def lookup_by_addr(name_tokens: List[int], addr_tokens: List[int]) -> List[Field
     """ 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)]