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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=393709&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-393709
 ]

ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 26/Feb/20 19:11
            Start Date: 26/Feb/20 19:11
    Worklog Time Spent: 10m 
      Work Description: lukecwik commented on pull request #10892: [BEAM-8335] 
Make TestStream to/from runner_api include the output_tags property.
URL: https://github.com/apache/beam/pull/10892#discussion_r384689184
 
 

 ##########
 File path: sdks/python/apache_beam/runners/direct/test_stream_impl.py
 ##########
 @@ -45,11 +46,69 @@ class _WatermarkController(PTransform):
    - If the instance receives an ElementEvent, it emits all specified elements
      to the Global Window with the event time set to the element's timestamp.
   """
+  def __init__(self, output_tag):
+    self.output_tag = output_tag
+
   def get_windowing(self, _):
     return core.Windowing(window.GlobalWindows())
 
   def expand(self, pcoll):
-    return pvalue.PCollection.from_(pcoll)
+    ret = pvalue.PCollection.from_(pcoll)
+    ret.tag = self.output_tag
+    return ret
+
+
+class _ExpandableTestStream(PTransform):
+  def __init__(self, test_stream):
+    self.test_stream = test_stream
+
+  def expand(self, pbegin):
+    """Expands the TestStream into the DirectRunner implementation.
+
 
 Review comment:
   ```suggestion
   ```
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 393709)
    Time Spent: 74h 10m  (was: 74h)

> Add streaming support to Interactive Beam
> -----------------------------------------
>
>                 Key: BEAM-8335
>                 URL: https://issues.apache.org/jira/browse/BEAM-8335
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-py-interactive
>            Reporter: Sam Rohde
>            Assignee: Sam Rohde
>            Priority: Major
>          Time Spent: 74h 10m
>  Remaining Estimate: 0h
>
> This issue tracks the work items to introduce streaming support to the 
> Interactive Beam experience. This will allow users to:
>  * Write and run a streaming job in IPython
>  * Automatically cache records from unbounded sources
>  * Add a replay experience that replays all cached records to simulate the 
> original pipeline execution
>  * Add controls to play/pause/stop/step individual elements from the cached 
> records
>  * Add ability to inspect/visualize unbounded PCollections



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