Bug: Exporting as HTML (New Issues as of v.3.0.1)
Dieses Issue hat noch niemand übernommen.
- Vorherrschende Sprache
- JavaScript
- Sterne
- 18.3k
- Forks
- 2k
- Ø Merge
- 2 T. 12 Std.
- Gemergte PRs (30 T.)
- 28
Beschreibung
Hey, I have been using plotly.js within my react application for several months now.
I never noticed this issue before but my users have started to report the following issue as of today, and I wonder if its linked to the latest release of plotlyjs.
In my React app I'm using a combination of react plotly and plotlyjs for various bits of functionality.
The key bit thats relevant here, is exporting charts as HTML.
Since the js client has no .to_html method like the python client does, I had to do this with a bit of a workaround as suggested by other people online.
// Function to export as HTML
const exportAsHTML = (chartData: ChartData, fileName: string) => {
const plotlyScript = `
<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
<style>
body, html {
margin: 0;
padding: 0;
width: 100%;
height: 100%;
overflow: hidden;
}
#plotly-chart {
width: 100%;
height: 100%;
}
</style>
<div id="plotly-chart"></div>
<script>
var data = ${JSON.stringify(chartData.data)};
var layout = ${JSON.stringify(chartData.layout)};
Plotly.newPlot('plotly-chart', data, layout);
</script>
`;
const blob = new Blob([plotlyScript], { type: 'text/html' });
const url = URL.createObjectURL(blob);
const link = document.createElement('a');
link.href = url;
link.download = fileName;
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
URL.revokeObjectURL(url);
};
Basically I'm creating the HTML skeleton myself and passing in the chart data / layout to be read by the embedded plotly client.
Here i'm explicitly importing the latest version of plotlyjs via the <script/> tag
Now as for the results. The html version of the chart is either missing data entirely, or the data has been mutated such that it doesn't match the original chart.
A couple of examples are below.
EXAMPLE A
This chart (plotted using React Plotly)
Becomes the following (missing data entirely)
EXAMPLE B
This chart (plotted using React Plotly)
Becomes the following (shape of data changed drastically)
Obviously this is a major issue and if not fixed could mislead our data analysts.
The only solution i can think of for now is to create a python backend endpoint to take the chart data and layout and use the python libraries to_html function to send back the html, but this seems unnecessarily convoluted.
Now, it could be that I have been taking the wrong approach the whole time, but I'd be surprised if this was the case since the feature has been live for months and has only now been reported as buggy. Hence why I suspect its to do with the latest release (21 hours ago as of writing this)
As a sidenote, why on earth isn't there a built in .to_html method in the javascript client library? The disparity between this and the python library is confusing.
Any guidance is appreciated.
Best,
Pat
Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Beginne damit, das Problem mit der bereitgestellten exportAsHTML-Funktion, den betroffenen Diagrammdaten und dem betroffenen Layout sowie dem neuesten aus dem CDN geladenen Plotly-Client zu reproduzieren. Vergleiche das ursprüngliche React-Plotly-Diagramm mit der heruntergeladenen HTML-Ausgabe und grenze ein, ob Daten während des Exports oder des Renderings verloren gehen oder verändert werden. Als erledigt gilt die Aufgabe, wenn das exportierte HTML die Diagrammdaten und die Form beibehält.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- javascript, react
- Bereich
- data-visualization, frontend
- Issue-Typ
- Bug
- Schwierigkeit
- 4/5
- Geschätzter Aufwand
- 3-5 Tage
- Aktivitätsstatus
- Aktiv
- Klarheit
- Muss geklärt werden
- Anfängerfreundlichkeit
- 38/100