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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=335680&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-335680
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 29/Oct/19 18:31
            Start Date: 29/Oct/19 18:31
    Worklog Time Spent: 10m 
      Work Description: robertwb commented on pull request #9720: [BEAM-8335] 
Add initial modules for interactive streaming support
URL: https://github.com/apache/beam/pull/9720#discussion_r340252219
 
 

 ##########
 File path: 
sdks/python/apache_beam/runners/interactive/caching/streaming_cache_test.py
 ##########
 @@ -0,0 +1,167 @@
+#
+# 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.
+#
+
+from __future__ import absolute_import
+
+import unittest
+
+from google.protobuf import timestamp_pb2
+
+from apache_beam import coders
+from apache_beam.portability.api.beam_interactive_api_pb2 import 
InteractiveStreamHeader
+from apache_beam.portability.api.beam_interactive_api_pb2 import 
InteractiveStreamRecord
+from apache_beam.portability.api.beam_runner_api_pb2 import TestStreamPayload
+from apache_beam.runners.interactive.caching.streaming_cache import 
StreamingCache
+from apache_beam.utils import timestamp
+
+
+def to_timestamp_proto(timestamp_secs):
+  """Converts seconds since epoch to a google.protobuf.Timestamp.
+  """
+  seconds = int(timestamp_secs)
+  nanos = int((timestamp_secs - seconds) * 10**9)
+  return timestamp_pb2.Timestamp(seconds=seconds, nanos=nanos)
+
+
+class InMemoryReader(object):
+  def __init__(self, tag=None):
+    self._records = [InteractiveStreamHeader(tag=tag).SerializeToString()]
 
 Review comment:
   It'd be cleaner if the stream returned proto objects, rather than the stream 
returning strings which need to be parsed in a certain way. 
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 335680)

> 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: 12h 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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