correctly exclude streets with housenumber searches

Street result are not subject to the full filtering in the SQL
query, so recheck.

nominatim/api/search/db_searches.py

@@ -766,9 +766,6 @@ class PlaceSearch(AbstractSearch):
             assert result
             result.bbox = Bbox.from_wkb(row.bbox)
             result.accuracy = row.accuracy
-            if not details.excluded or not result.place_id in details.excluded:
-                results.append(result)
-
             if self.housenumbers and row.rank_address < 30:
                 if row.placex_hnr:
                     subs = _get_placex_housenumbers(conn, row.placex_hnr, details)
@@ -788,6 +785,14 @@ class PlaceSearch(AbstractSearch):
                             sub.accuracy += 0.6
                         results.append(sub)
 
-                result.accuracy += 1.0 # penalty for missing housenumber
+                # Only add the street as a result, if it meets all other
+                # filter conditions.
+                if (not details.excluded or result.place_id not in details.excluded)\
+                   and (not self.qualifiers or result.category in self.qualifiers.values)\
+                   and result.rank_address >= details.min_rank:
+                    result.accuracy += 1.0 # penalty for missing housenumber
+                    results.append(result)
+            else:
+                results.append(result)
 
         return results

test/python/api/search/test_search_places.py

@@ -281,6 +281,37 @@ class TestStreetWithHousenumber:
         assert [r.place_id for r in results] == [2, 92, 2000]
 
 
+    def test_lookup_only_house_qualifier(self, apiobj):
+        lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
+        ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
+
+        results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
+                             quals=[('place', 'house')])
+
+        assert [r.place_id for r in results] == [2, 92]
+
+
+    def test_lookup_only_street_qualifier(self, apiobj):
+        lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
+        ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
+
+        results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
+                             quals=[('highway', 'residential')])
+
+        assert [r.place_id for r in results] == [1000, 2000]
+
+
+    @pytest.mark.parametrize('rank,found', [(26, True), (27, False), (30, False)])
+    def test_lookup_min_rank(self, apiobj, rank, found):
+        lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
+        ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
+
+        results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
+                             details=SearchDetails(min_rank=rank))
+
+        assert [r.place_id for r in results] == ([2, 92, 1000, 2000] if found else [2, 92])
+
+
     @pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
                                       napi.GeometryFormat.KML,
                                       napi.GeometryFormat.SVG,