codeant-ai-for-open-source[bot] commented on code in PR #37516:
URL: https://github.com/apache/superset/pull/37516#discussion_r3577080257
##########
superset/commands/chart/warm_up_cache.py:
##########
@@ -96,12 +101,14 @@ def _warm_up_non_legacy_cache(self, chart: Slice) ->
tuple[Any, Any]:
query_context.force = True
command = ChartDataCommand(query_context)
command.validate()
- payload = command.run()
+ execution: ChartDataExecutionResult = command.execute(
+ ChartDataExecutionOptions(mode=ChartDataExecutionMode.CACHE_ONLY)
+ )
# Report the first error.
- for query_result in cast(list[dict[str, Any]], payload["queries"]):
- error = query_result.get("error")
- status = query_result.get("status")
+ for query_result in execution.queries:
+ error = query_result.payload.get("error")
+ status = query_result.payload.get("status")
Review Comment:
**Suggestion:** Add explicit type annotations for the newly introduced local
values extracted from the query payload so the new logic complies with the
type-hint requirement for relevant variables. [custom_rule]
**Severity Level:** Minor ๐งน
<details>
<summary><b>Why it matters? โญ </b></summary>
The added local variables `error` and `status` are inferred from untyped
payload access and could be annotated, so this new code matches the rule's
requirement to add type hints for relevant variables.
</details>
<details>
<summary><b>Rule source ๐ </b></summary>
.cursor/rules/dev-standard.mdc (line 28)
</details>
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<details>
<summary><b>Prompt for AI Agent ๐ค </b></summary>
```mdx
This is a comment left during a code review.
**Path:** superset/commands/chart/warm_up_cache.py
**Line:** 110:111
**Comment:**
*Custom Rule: Add explicit type annotations for the newly introduced
local values extracted from the query payload so the new logic complies with
the type-hint requirement for relevant variables.
Validate the correctness of the flagged issue. If correct, How can I resolve
this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask
user if the user wants to fix the rest of the comments as well. if said yes,
then fetch all the comments validate the correctness and implement a minimal fix
```
</details>
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