Merge pull request #2786 from lonvia/export-centroid-for-tokenizer

[nominatim.git] / nominatim / indexer / progress.py

diff --git a/nominatim/indexer/progress.py b/nominatim/indexer/progress.py
index 634b1fae703670d838bf1633a2d222b427dd43fa..177c262b702e19eec30c08383737670c1414ce74 100644 (file)
--- a/nominatim/indexer/progress.py
+++ b/nominatim/indexer/progress.py
@@ -1,7 +1,9 @@
 # SPDX-License-Identifier: GPL-2.0-only
 #
-# This file is part of Nominatim.
-# Copyright (C) 2020 Sarah Hoffmann
+# This file is part of Nominatim. (https://nominatim.org)
+#
+# Copyright (C) 2022 by the Nominatim developer community.
+# For a full list of authors see the git log.
 """
 Helpers for progress logging.
 """
@@ -16,11 +18,11 @@ class ProgressLogger:
     """ Tracks and prints progress for the indexing process.
         `name` is the name of the indexing step being tracked.
         `total` sets up the total number of items that need processing.
-        `log_interval` denotes the interval in seconds at which progres
+        `log_interval` denotes the interval in seconds at which progress
         should be reported.
     """
 
-    def __init__(self, name, total, log_interval=1):
+    def __init__(self, name: str, total: int, log_interval: int = 1) -> None:
         self.name = name
         self.total_places = total
         self.done_places = 0
@@ -28,7 +30,7 @@ class ProgressLogger:
         self.log_interval = log_interval
         self.next_info = INITIAL_PROGRESS if LOG.isEnabledFor(logging.WARNING) else total + 1
 
-    def add(self, num=1):
+    def add(self, num: int = 1) -> None:
         """ Mark `num` places as processed. Print a log message if the
             logging is at least info and the log interval has passed.
         """
@@ -53,14 +55,14 @@ class ProgressLogger:
 
         self.next_info += int(places_per_sec) * self.log_interval
 
-    def done(self):
+    def done(self) -> None:
         """ Print final statistics about the progress.
         """
         rank_end_time = datetime.now()
 
         if rank_end_time == self.rank_start_time:
-            diff_seconds = 0
-            places_per_sec = self.done_places
+            diff_seconds = 0.0
+            places_per_sec = float(self.done_places)
         else:
             diff_seconds = (rank_end_time - self.rank_start_time).total_seconds()
             places_per_sec = self.done_places / diff_seconds