| # |
| # 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.""" |
| |
| 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() |