reduce expected count for multi-part words

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

diff --git a/nominatim/api/search/geocoder.py b/nominatim/api/search/geocoder.py
index 564e3d8dadc1df4181c5f3a2a5c4bfb86ade0c77..f88bffbd367bb3b78042375565dc22e820816e6f 100644 (file)
--- a/nominatim/api/search/geocoder.py
+++ b/nominatim/api/search/geocoder.py
@@ -9,6 +9,7 @@ Public interface to the search code.
 """
 from typing import List, Any, Optional, Iterator, Tuple
 import itertools
 """
 from typing import List, Any, Optional, Iterator, Tuple
 import itertools

+import datetime as dt

 
 from nominatim.api.connection import SearchConnection
 from nominatim.api.types import SearchDetails
 
 from nominatim.api.connection import SearchConnection
 from nominatim.api.types import SearchDetails


@@ -24,9 +25,11 @@ class ForwardGeocoder:
     """ Main class responsible for place search.
     """
 
     """ Main class responsible for place search.
     """
 

-    def __init__(self, conn: SearchConnection, params: SearchDetails) -> None:
+    def __init__(self, conn: SearchConnection,
+                 params: SearchDetails, timeout: Optional[int]) -> None:

         self.conn = conn
         self.params = params
         self.conn = conn
         self.params = params

+        self.timeout = dt.timedelta(seconds=timeout or 1000000)

         self.query_analyzer: Optional[AbstractQueryAnalyzer] = None
 
 
         self.query_analyzer: Optional[AbstractQueryAnalyzer] = None
 
 


@@ -71,6 +74,7 @@ class ForwardGeocoder:
         """
         log().section('Execute database searches')
         results = SearchResults()
         """
         log().section('Execute database searches')
         results = SearchResults()

+        end_time = dt.datetime.now() + self.timeout

 
         num_results = 0
         min_ranking = 1000.0
 
         num_results = 0
         min_ranking = 1000.0


@@ -85,6 +89,8 @@ class ForwardGeocoder:
             log().result_dump('Results', ((r.accuracy, r) for r in results[num_results:]))
             num_results = len(results)
             prev_penalty = search.penalty
             log().result_dump('Results', ((r.accuracy, r) for r in results[num_results:]))
             num_results = len(results)
             prev_penalty = search.penalty

+            if dt.datetime.now() >= end_time:
+                break

 
         if results:
             min_ranking = min(r.ranking for r in results)
 
         if results:
             min_ranking = min(r.ranking for r in results)