#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

"""Test for the game_stats example."""

# pytype: skip-file

from __future__ import absolute_import

import logging
import unittest

import apache_beam as beam
from apache_beam.examples.complete.game import game_stats
from apache_beam.testing.test_pipeline import TestPipeline
from apache_beam.testing.util import assert_that
from apache_beam.testing.util import equal_to


class GameStatsTest(unittest.TestCase):

  SAMPLE_DATA = [
      'user1_team1,team1,18,1447686663000,2015-11-16 15:11:03.921',
      'user1_team1,team1,18,1447690263000,2015-11-16 16:11:03.921',
      'user2_team2,team2,2,1447690263000,2015-11-16 16:11:03.955',
      'user3_team3,team3,8,1447690263000,2015-11-16 16:11:03.955',
      'user4_team3,team3,5,1447690263000,2015-11-16 16:11:03.959',
      'user1_team1,team1,14,1447697463000,2015-11-16 18:11:03.955',
      'robot1_team1,team1,9000,1447697463000,2015-11-16 18:11:03.955',
      'robot2_team2,team2,1,1447697463000,2015-11-16 20:11:03.955',
      'robot2_team2,team2,9000,1447697463000,2015-11-16 21:11:03.955',
  ]

  def create_data(self, p):
    return (p
            | beam.Create(GameStatsTest.SAMPLE_DATA)
            | beam.ParDo(game_stats.ParseGameEventFn())
            | beam.Map(lambda elem:\
                       beam.window.TimestampedValue(elem, elem['timestamp'])))

  def test_spammy_users(self):
    with TestPipeline() as p:
      result = (
          self.create_data(p)
          | beam.Map(lambda elem: (elem['user'], elem['score']))
          | game_stats.CalculateSpammyUsers())
      assert_that(
          result, equal_to([('robot1_team1', 9000), ('robot2_team2', 9001)]))

  def test_game_stats_sessions(self):
    session_gap = 5 * 60
    user_activity_window_duration = 30 * 60
    with TestPipeline() as p:
      result = (
          self.create_data(p)
          | beam.Map(lambda elem: (elem['user'], elem['score']))
          | 'WindowIntoSessions' >> beam.WindowInto(
              beam.window.Sessions(session_gap),
              timestamp_combiner=beam.window.TimestampCombiner.OUTPUT_AT_EOW)
          | beam.CombinePerKey(lambda _: None)
          | beam.ParDo(game_stats.UserSessionActivity())
          | 'WindowToExtractSessionMean' >> beam.WindowInto(
              beam.window.FixedWindows(user_activity_window_duration))
          | beam.CombineGlobally(beam.combiners.MeanCombineFn())\
              .without_defaults())
      assert_that(result, equal_to([300.0, 300.0, 300.0]))


if __name__ == '__main__':
  logging.getLogger().setLevel(logging.INFO)
  unittest.main()
