]> git.openstreetmap.org Git - nominatim.git/blobdiff - nominatim/api/search/db_searches.py
extend word statistics to address index
[nominatim.git] / nominatim / api / search / db_searches.py
index 742f4a70f60aedf00ca5a92bc2a4e6adbd917c7a..3f294de7c925ba5b2017bfd247496ef2c28c189c 100644 (file)
@@ -602,10 +602,28 @@ class PostcodeSearch(AbstractSearch):
 
         results = nres.SearchResults()
         for row in await conn.execute(sql, _details_to_bind_params(details)):
-            result = nres.create_from_postcode_row(row, nres.SearchResult)
+            p = conn.t.placex
+            placex_sql = _select_placex(p).add_columns(p.c.importance)\
+                             .where(sa.text("""class = 'boundary'
+                                               AND type = 'postal_code'
+                                               AND osm_type = 'R'"""))\
+                             .where(p.c.country_code == row.country_code)\
+                             .where(p.c.postcode == row.postcode)\
+                             .limit(1)
+
+            if details.geometry_output:
+                placex_sql = _add_geometry_columns(placex_sql, p.c.geometry, details)
+
+            for prow in await conn.execute(placex_sql, _details_to_bind_params(details)):
+                result = nres.create_from_placex_row(prow, nres.SearchResult)
+                break
+            else:
+                result = nres.create_from_postcode_row(row, nres.SearchResult)
+
             assert result
-            result.accuracy = row.accuracy
-            results.append(result)
+            if result.place_id not in details.excluded:
+                result.accuracy = row.accuracy
+                results.append(result)
 
         return results
 
@@ -700,7 +718,7 @@ class PlaceSearch(AbstractSearch):
                or (details.viewbox is not None and details.viewbox.area < 0.5):
                 sql = sql.order_by(
                         penalty - sa.case((tsearch.c.importance > 0, tsearch.c.importance),
-                                    else_=0.75001-(sa.cast(tsearch.c.search_rank, sa.Float())/40)))
+                                    else_=0.40001-(sa.cast(tsearch.c.search_rank, sa.Float())/75)))
             sql = sql.add_columns(t.c.importance)