KevinGG commented on a change in 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
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@@ -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.
The DOM changes 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.
This is to avoid `display_javascript` polluting the output area of notebooks
in this scenario.
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