[
https://issues.apache.org/jira/browse/BEAM-7926?focusedWorklogId=353092&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-353092
]
ASF GitHub Bot logged work on BEAM-7926:
----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Dec/19 23:33
Start Date: 03/Dec/19 23:33
Worklog Time Spent: 10m
Work Description: davidyan74 commented on pull request #10276:
[BEAM-7926] Data-centric Interactive Part1
URL: https://github.com/apache/beam/pull/10276#discussion_r353478890
##########
File path: sdks/python/apache_beam/utils/interactive_utils.py
##########
@@ -0,0 +1,98 @@
+#
+# 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.
+#
+
+"""Common utility module shared by runners.
+
+For experimental usage only; no backwards-compatibility guarantees.
+"""
+from __future__ import absolute_import
+
+import logging
+
+_LOGGER = logging.getLogger(__name__)
+
+
+def is_in_ipython():
+ """Determines if current code is executed within an ipython session."""
+ is_in_ipython = False
+ # Check if the runtime is within an interactive environment, i.e., ipython.
+ try:
+ from IPython import get_ipython # pylint: disable=import-error
+ if get_ipython():
+ is_in_ipython = True
+ except ImportError:
+ pass # If dependencies are not available, then not interactive for sure.
+ return is_in_ipython
+
+
+def is_in_notebook():
+ """Determines if current code is executed from an ipython notebook.
+
+ If is_in_notebook() is True, then is_in_ipython() must also be True.
+ """
+ is_in_notebook = False
+ if is_in_ipython():
+ # The import and usage must be valid under the execution path.
+ from IPython import get_ipython
+ if 'IPKernelApp' in get_ipython().config:
+ is_in_notebook = True
+ return is_in_notebook
+
+
+def alter_label_if_interactive(transform, pvalueish):
+ """Alters the label to an interactive label with ipython prompt metadata
+ prefixed for the given transform if the given pvalueish belongs to a
+ user-defined pipeline. Otherwise, noop.
+
+ A label is either a user-defined or auto-generated str name of a PTransform
+ that is unique within a pipeline. If current environment is_in_ipython(),
Beam
+ can implicitly create interactive labels to replace labels of root
PTransforms
+ to be applied. The label is formatted as `Cell {prompt}: {original_label}`.
+ """
+ if is_in_ipython():
+ from apache_beam.runners.interactive import interactive_environment as ie
+ # Tracks user defined pipeline instances in watched scopes so that we only
+ # alter labels for any transform to pvalueish belonging to those pipeline
+ # instances, excluding any transform to be applied in other pipeline
+ # instances the Beam SDK creates implicitly.
+ ie.current_env().track_user_pipelines()
+ from IPython import get_ipython
+ prompt = get_ipython().execution_count
+ pipeline = _extract_pipeline_of_pvalueish(pvalueish)
+ if not pipeline:
+ _LOGGER.warning('Non-fatal error. Failed to alter the label of a '
Review comment:
nit: warning already implies non-fatal.
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Issue Time Tracking
-------------------
Worklog Id: (was: 353092)
Time Spent: 21h 40m (was: 21.5h)
> 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: 21h 40m
> 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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