dosubot[bot] commented on issue #33615:
URL: https://github.com/apache/superset/issues/33615#issuecomment-2919055850

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   Hi @singhs124! I'm [Dosu](https://go.dosu.dev/dosubot) and I’m helping the 
superset team.
   
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   The 400 error with "Chart has no query context saved. Please save the chart 
again" occurs because the `/api/v1/chart/{pk}/data/` endpoint depends on a 
saved query context for each chart. When dashboards are imported via zip files, 
the query context for charts may not be populated, which leads to this error 
until each chart is manually opened and saved in the UI. This is a known 
behavior: the query context is only generated and stored when a chart is saved 
through the Explore view or similar UI actions, not during import 
[[source]](https://github.com/apache/superset/blob/master/superset/charts/data/api.py).
   
   There is no built-in Superset command or API to bulk-generate or repair 
missing query contexts for charts after import. However, you can automate the 
process of opening and saving charts using browser automation tools like 
Cypress. Superset's own test suite includes Cypress scripts that 
programmatically open and save charts, which triggers the generation of the 
query context. For example, the `saveChartToDashboard` and 
`openExploreWithDashboardContext` functions in the Cypress test files automate 
these actions 
[[source]](https://github.com/apache/superset/blob/master/superset-frontend/cypress-base/cypress/e2e/explore/utils.ts)
 
[[source]](https://github.com/apache/superset/blob/master/superset-frontend/cypress-base/cypress/e2e/dashboard/editmode.test.ts).
   
   To automate this for your environment, you could:
   
   1. Use Cypress or a similar tool to script logging in, opening each chart by 
ID, and saving it. This will populate the query context for each chart.
   2. Optionally, adapt the Cypress commands from Superset's test suite (see 
`visitChartById`, `saveChartToDashboard`, etc.) to loop through your chart IDs 
[[source]](https://github.com/apache/superset/blob/master/superset-frontend/cypress-base/cypress/support/e2e.ts).
   
   There is also a Python-side approach: you could write a script that uses the 
Superset API to fetch each chart's form data, then POST it to the 
`/api/v1/chart/{pk}` endpoint to trigger a save, but this is more complex and 
not officially documented.
   
   In summary, the most practical workaround is to automate the "open and save" 
process using browser automation. There is no direct API or CLI command to 
bulk-populate missing query contexts after import. If you need help with a 
Cypress script template, let me know.
   
   
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