[
https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=353688&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-353688
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Dec/19 19:29
Start Date: 04/Dec/19 19:29
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #10120:
[BEAM-8335] Add a TestStreamService Python Implementation
URL: https://github.com/apache/beam/pull/10120#discussion_r353938704
##########
File path: sdks/python/apache_beam/testing/test_stream_service_test.py
##########
@@ -0,0 +1,90 @@
+#
+# 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
+
+import grpc
+
+from apache_beam.portability.api import beam_runner_api_pb2
+from apache_beam.portability.api import beam_runner_api_pb2_grpc
+from apache_beam.portability.api.beam_interactive_api_pb2 import
TestStreamFileHeader
+from apache_beam.portability.api.beam_interactive_api_pb2 import
TestStreamFileRecord
+from apache_beam.portability.api.beam_runner_api_pb2 import TestStreamPayload
+from apache_beam.testing.test_stream_service import TestStreamServiceController
+
+# Nose automatically detects tests if they match a regex. Here, it mistakens
+# these protos as tests. For more info see the Nose docs at:
+# https://nose.readthedocs.io/en/latest/writing_tests.html
+TestStreamPayload.__test__ = False
+TestStreamFileHeader.__test__ = False
+TestStreamFileRecord.__test__ = False
+
+
+class TestStreamServiceTest(unittest.TestCase):
+ def events(self):
+ for i in range(10):
+ e = TestStreamPayload.Event()
+ e.element_event.elements.append(
+ TestStreamPayload.TimestampedElement(timestamp=i))
+ yield e
+
+ def setUp(self):
+ self.controller = TestStreamServiceController(self.events)
+ self.controller.start()
+
+ channel = grpc.insecure_channel(self.controller.endpoint)
+ self.stub = beam_runner_api_pb2_grpc.TestStreamServiceStub(channel)
+
+ def tearDown(self):
+ self.controller.stop()
+
+ def test_normal_run(self):
+ r = self.stub.Events(beam_runner_api_pb2.EventsRequest())
+ events = [e for e in r]
+ expected_events = [e for e in self.events()]
+
+ self.assertEqual(events, expected_events)
+
+ def test_multiple_sessions(self):
+ resp_a = self.stub.Events(beam_runner_api_pb2.EventsRequest())
+ resp_b = self.stub.Events(beam_runner_api_pb2.EventsRequest())
+
+ events_a = []
+ events_b = []
+
+ done = False
+ while not done:
+ try:
+ events_a.append(next(resp_a))
+ except StopIteration:
+ done |= True
+
+ try:
+ events_b.append(next(resp_b))
+ except StopIteration:
+ done |= True
Review comment:
I changed it to have an explicit done variable for each events, "a_is_done"
and "b_is_done". I think this makes it easier to tell what's going on at a
glance.
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Issue Time Tracking
-------------------
Worklog Id: (was: 353688)
Time Spent: 41h 20m (was: 41h 10m)
> 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: 41h 20m
> 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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