GitHub user dosubot[bot] added a comment to the discussion: Cache warm_up logic?

<!-- Answer -->
The most reliable way to find the exact extra_filters payload (and the full 
request context) for a chart is to use your browser’s developer tools. Open the 
Network tab, then load your dashboard or chart with the filters you want. Look 
for the POST request to `/api/v1/chart/data`—the request payload will contain 
all filters and parameters, even for large/complex queries. You can copy the 
relevant part (usually the `extra_filters` or `filters` array) and use it in 
your cache warmup API call to `/api/v1/chart/warm_up_cache` as a JSON string in 
the `extra_filters` field. This ensures your warmup matches the real dashboard 
context and maximizes cache hits. 

For advanced use, you can also extract past payloads from the `logs.json` 
column in the Superset database, associated with the `explore_json` action, but 
browser devtools is the most direct method for most users.  
[Reference](https://github.com/apache/superset/discussions/32765)  
[API 
details](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/charts/api.py)


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GitHub link: 
https://github.com/apache/superset/discussions/34837#discussioncomment-14363646

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