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https://issues.apache.org/jira/browse/BEAM-7926?focusedWorklogId=353752&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-353752
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ASF GitHub Bot logged work on BEAM-7926:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Dec/19 20:29
Start Date: 04/Dec/19 20:29
Worklog Time Spent: 10m
Work Description: aaltay commented on pull request #10276: [BEAM-7926]
Data-centric Interactive Part1
URL: https://github.com/apache/beam/pull/10276#discussion_r353963243
##########
File path: sdks/python/apache_beam/runners/interactive/testing/mock_ipython.py
##########
@@ -0,0 +1,67 @@
+#
+# 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.
+#
+
+# Mocked object returned by invoking get_ipython() in an ipython environment.
+_mocked_get_ipython = None
+
+
+def mock_get_ipython():
+ """Mock an ipython environment w/o setting up real ipython kernel.
+
+ Each entering of get_ipython() invocation will have the prompt increased by
+ one. Grouping arbitrary python code into separate cells using `with` clause.
+
+ Examples::
+
+ # Usage, before each test function, append:
+ @patch('IPython.get_ipython', mock_get_ipython)
+
+ # Group lines of code into a cell:
+ with mock_get_ipython():
+ # arbitrary python code
+ # ...
+ # arbitrary python code
+
+ # Next cell with prompt increased by one:
+ with mock_get_ipython(): # Auto-incremental
+ # arbitrary python code
+ # ...
+ # arbitrary python code
+ """
+
+ class MockedGetIpython(object):
+
+ def __init__(self):
+ self._execution_count = 0
+
+ @property
+ def execution_count(self):
+ """Execution count always starts from 1 and is constant within a cell."""
+ return self._execution_count
+
+ def __enter__(self):
+ """Marks entering of a cell/prompt."""
+ self._execution_count = self._execution_count + 1
+
+ def __exit__(self, exc_type, exc_value, traceback):
+ """Marks exiting of a cell/prompt."""
+ pass
+
+ global _mocked_get_ipython
Review comment:
Do you need both L19 and L65 definitions for global?
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Issue Time Tracking
-------------------
Worklog Id: (was: 353752)
Time Spent: 24h 10m (was: 24h)
> Show PCollection with Interactive Beam in a data-centric user flow
> ------------------------------------------------------------------
>
> Key: BEAM-7926
> URL: https://issues.apache.org/jira/browse/BEAM-7926
> Project: Beam
> Issue Type: New Feature
> Components: runner-py-interactive
> Reporter: Ning Kang
> Assignee: Ning Kang
> Priority: Major
> Time Spent: 24h 10m
> Remaining Estimate: 0h
>
> Support auto plotting / charting of materialized data of a given PCollection
> with Interactive Beam.
> Say an Interactive Beam pipeline defined as
>
> {code:java}
> p = beam.Pipeline(InteractiveRunner())
> pcoll = p | 'Transform' >> transform()
> pcoll2 = ...
> pcoll3 = ...{code}
> The use can call a single function and get auto-magical charting of the data.
> e.g.,
> {code:java}
> show(pcoll, pcoll2)
> {code}
> Throughout the process, a pipeline fragment is built to include only
> transforms necessary to produce the desired pcolls (pcoll and pcoll2) and
> execute that fragment.
> This makes the Interactive Beam user flow data-centric.
>
> Detailed
> [design|https://docs.google.com/document/d/1DYWrT6GL_qDCXhRMoxpjinlVAfHeVilK5Mtf8gO6zxQ/edit#heading=h.v6k2o3roarzz].
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