main.py 文件源码

def benchmark_data():
  """Returns benchmark data in json format for graphing."""
  test_id = urllib.parse.unquote(request.args.get('test'))
  entry_id = urllib.parse.unquote(request.args.get('entry'))
  min_time_to_lookup = datetime.now() - timedelta(days=_DAYS_TO_FETCH)

  client = datastore.Client()
  timing_query = client.query(kind='Entry')
  timing_query.add_filter('test', '=', test_id)
  timing_query.add_filter('entry', '=', entry_id)
  timing_query.add_filter('start', '>', min_time_to_lookup)
  timing_query.projection = ['start', 'timing']
  start_and_timing = [
      {'start': data['start'], 'timing': data['timing']}
      for data in timing_query.fetch()]
  start_and_timing_json = json.dumps(start_and_timing)
  return start_and_timing_json