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https://issues.apache.org/jira/browse/BEAM-3377?focusedWorklogId=100833&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-100833
 ]

ASF GitHub Bot logged work on BEAM-3377:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 10/May/18 21:00
            Start Date: 10/May/18 21:00
    Worklog Time Spent: 10m 
      Work Description: mariapython commented on a change in pull request 
#5279: [BEAM-3377] Call assert_that per window via windowed (flag)
URL: https://github.com/apache/beam/pull/5279#discussion_r187459016
 
 

 ##########
 File path: sdks/python/apache_beam/testing/util.py
 ##########
 @@ -75,6 +75,25 @@ def __repr__(self):
   return InAnyOrder(iterable)
 
 
+def equal_to_per_window(expected_dict_window_to_its_elements):
+  def matcher(elements):
+    actual_elements_in_window, window = elements
+    if window in expected_dict_window_to_its_elements:
+      expected_elements_in_window = list(
+          expected_dict_window_to_its_elements[window])
+      sorted_expected = sorted(expected_elements_in_window)
+      sorted_actual = sorted(actual_elements_in_window)
+      if sorted_expected != sorted_actual:
+        # Results for the same window don't necessarily come all
 
 Review comment:
   That is the expected behavior when there are additional firings.

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 100833)
    Time Spent: 2h 50m  (was: 2h 40m)

> assert_that not working for streaming
> -------------------------------------
>
>                 Key: BEAM-3377
>                 URL: https://issues.apache.org/jira/browse/BEAM-3377
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>    Affects Versions: 2.2.0
>            Reporter: MarĂ­a GH
>            Priority: Major
>              Labels: starter
>          Time Spent: 2h 50m
>  Remaining Estimate: 0h
>
> assert_that does not work for AfterWatermark timers.
> Easy way to reproduce: modify test_gbk_execution [1] in this form:
>  
> {code:java}
>  def test_this(self):
>     test_stream = (TestStream()
>                    .add_elements(['a', 'b', 'c'])
>                    .advance_watermark_to(20))
>     def fnc(x):
>       print 'fired_elem:', x
>       return x
>     options = PipelineOptions()
>     options.view_as(StandardOptions).streaming = True
>     p = TestPipeline(options=options)
>     records = (p
>                | test_stream
>                | beam.WindowInto(
>                    FixedWindows(15),
>                    
> trigger=trigger.AfterWatermark(early=trigger.AfterCount(2)),
>                    accumulation_mode=trigger.AccumulationMode.ACCUMULATING)
>                | beam.Map(lambda x: ('k', x))
>                | beam.GroupByKey())
>     assert_that(records, equal_to([
>         ('k', ['a', 'b', 'c'])]))
>     p.run()
> {code}
> This test will pass, but if the .advance_watermark_to(20) is removed, the 
> test will fail. However, both cases fire the same elements:
>       fired_elem: ('k', ['a', 'b', 'c'])
>       fired_elem: ('k', ['a', 'b', 'c'])
> In the passing case, they correspond to the sorted_actual inside the 
> assert_that. In the failing case:
>       sorted_actual: [('k', ['a', 'b', 'c']), ('k', ['a', 'b', 'c'])]
>       sorted_actual: []
> [1] 
> https://github.com/mariapython/incubator-beam/blob/direct-timers-show/sdks/python/apache_beam/testing/test_stream_test.py#L120



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