X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/70dc4957dc41df7d808ae4acb6c881e80b6348f9..3c7a28dab0e7fa9b1d9eb4a5f9bdddfb879d0384:/nominatim/api/search/db_search_builder.py

diff --git a/nominatim/api/search/db_search_builder.py b/nominatim/api/search/db_search_builder.py
index 35d10e78..39c25f6b 100644
--- a/nominatim/api/search/db_search_builder.py
+++ b/nominatim/api/search/db_search_builder.py
@@ -89,12 +89,14 @@ class SearchBuilder:
         if sdata is None:
             return
 
-        categories = self.get_search_categories(assignment)
+        near_items = self.get_near_items(assignment)
+        if near_items is not None and not near_items:
+            return # impossible compbination of near items and category parameter
 
         if assignment.name is None:
-            if categories and not sdata.postcodes:
-                sdata.qualifiers = categories
-                categories = None
+            if near_items and not sdata.postcodes:
+                sdata.qualifiers = near_items
+                near_items = None
                 builder = self.build_poi_search(sdata)
             elif assignment.housenumber:
                 hnr_tokens = self.query.get_tokens(assignment.housenumber,
@@ -102,16 +104,19 @@ class SearchBuilder:
                 builder = self.build_housenumber_search(sdata, hnr_tokens, assignment.address)
             else:
                 builder = self.build_special_search(sdata, assignment.address,
-                                                    bool(categories))
+                                                    bool(near_items))
         else:
             builder = self.build_name_search(sdata, assignment.name, assignment.address,
-                                             bool(categories))
+                                             bool(near_items))
 
-        if categories:
-            penalty = min(categories.penalties)
-            categories.penalties = [p - penalty for p in categories.penalties]
+        if near_items:
+            penalty = min(near_items.penalties)
+            near_items.penalties = [p - penalty for p in near_items.penalties]
             for search in builder:
-                yield dbs.NearSearch(penalty + assignment.penalty, categories, search)
+                search_penalty = search.penalty
+                search.penalty = 0.0
+                yield dbs.NearSearch(penalty + assignment.penalty + search_penalty,
+                                     near_items, search)
         else:
             for search in builder:
                 search.penalty += assignment.penalty
@@ -158,11 +163,15 @@ class SearchBuilder:
             housenumber is the main name token.
         """
         sdata.lookups = [dbf.FieldLookup('name_vector', [t.token for t in hnrs], 'lookup_any')]
+        expected_count = sum(t.count for t in hnrs)
 
         partials = [t for trange in address
                        for t in self.query.get_partials_list(trange)]
 
-        if len(partials) != 1 or partials[0].count < 10000:
+        if expected_count < 8000:
+            sdata.lookups.append(dbf.FieldLookup('nameaddress_vector',
+                                                 [t.token for t in partials], 'restrict'))
+        elif len(partials) != 1 or partials[0].count < 10000:
             sdata.lookups.append(dbf.FieldLookup('nameaddress_vector',
                                                  [t.token for t in partials], 'lookup_all'))
         else:
@@ -173,7 +182,7 @@ class SearchBuilder:
                                 'lookup_any'))
 
         sdata.housenumbers = dbf.WeightedStrings([], [])
-        yield dbs.PlaceSearch(0.05, sdata, sum(t.count for t in hnrs))
+        yield dbs.PlaceSearch(0.05, sdata, expected_count)
 
 
     def build_name_search(self, sdata: dbf.SearchData,
@@ -339,16 +348,18 @@ class SearchBuilder:
         return sdata
 
 
-    def get_search_categories(self,
-                              assignment: TokenAssignment) -> Optional[dbf.WeightedCategories]:
-        """ Collect tokens for category search or use the categories
+    def get_near_items(self, assignment: TokenAssignment) -> Optional[dbf.WeightedCategories]:
+        """ Collect tokens for near items search or use the categories
             requested per parameter.
             Returns None if no category search is requested.
         """
-        if assignment.category:
+        if assignment.near_item:
             tokens: Dict[Tuple[str, str], float] = {}
-            for t in self.query.get_tokens(assignment.category, TokenType.CATEGORY):
+            for t in self.query.get_tokens(assignment.near_item, TokenType.NEAR_ITEM):
                 cat = t.get_category()
+                # The category of a near search will be that of near_item.
+                # Thus, if search is restricted to a category parameter,
+                # the two sets must intersect.
                 if (not self.details.categories or cat in self.details.categories)\
                    and t.penalty < tokens.get(cat, 1000.0):
                     tokens[cat] = t.penalty