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ASF GitHub Bot logged work on BEAM-7926: ---------------------------------------- Author: ASF GitHub Bot Created on: 03/Mar/20 22:50 Start Date: 03/Mar/20 22:50 Worklog Time Spent: 10m Work Description: KevinGG commented on pull request #11020: [BEAM-7926] Update Data Visualization URL: https://github.com/apache/beam/pull/11020#discussion_r387267410 ########## File path: sdks/python/apache_beam/runners/interactive/display/pcoll_visualization.py ########## @@ -52,42 +56,89 @@ except ImportError: _pcoll_visualization_ready = False +_LOGGER = logging.getLogger(__name__) + # 1-d types that need additional normalization to be compatible with DataFrame. _one_dimension_types = (int, float, str, bool, list, tuple) +_CSS = """ + <style> + .p-Widget.jp-OutputPrompt.jp-OutputArea-prompt:empty {{ + padding: 0; + border: 0; + }} + .p-Widget.jp-RenderedJavaScript.jp-mod-trusted.jp-OutputArea-output:empty {{ + padding: 0; + border: 0; + }} + </style>""" _DIVE_SCRIPT_TEMPLATE = """ - document.querySelector("#{display_id}").data = {jsonstr};""" -_DIVE_HTML_TEMPLATE = """ + try {{ + document.querySelector("#{display_id}").data = {jsonstr}; + }} catch (e) {{ + console.log("#{display_id} is not rendered yet."); + }}""" +_DIVE_HTML_TEMPLATE = _CSS + """ <script src="https://cdnjs.cloudflare.com/ajax/libs/webcomponentsjs/1.3.3/webcomponents-lite.js"></script> <link rel="import" href="https://raw.githubusercontent.com/PAIR-code/facets/1.0.0/facets-dist/facets-jupyter.html"> <facets-dive sprite-image-width="{sprite_size}" sprite-image-height="{sprite_size}" id="{display_id}" height="600"></facets-dive> <script> document.querySelector("#{display_id}").data = {jsonstr}; </script>""" _OVERVIEW_SCRIPT_TEMPLATE = """ - document.querySelector("#{display_id}").protoInput = "{protostr}"; - """ -_OVERVIEW_HTML_TEMPLATE = """ + try {{ + document.querySelector("#{display_id}").protoInput = "{protostr}"; + }} catch (e) {{ + console.log("#{display_id} is not rendered yet."); Review comment: Facets widgets doesn't depend on the jQuery we setup. The JS also doesn't depend on the webcomponent (it's for HTML import). So there is no need to wait for `onload` of anything. This is to avoid the DOM change when the output area containing the widgets being updated gets deleted by the user in the notebook and some JS exceptions could be thrown out. `display_javascript` would pollute the output area in this scenario. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 397098) Time Spent: 51h 10m (was: 51h) > 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: 51h 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]. -- This message was sent by Atlassian Jira (v8.3.4#803005)