Greptile Summary

This PR adds defensive programming to prevent runtime errors when handling streaming aggregation responses that contain empty hits arrays. The changes implement null/empty checks in three critical locations within the dashboard panel data loader:

1. getDataThroughPartitions (line 557): Added a length check before spreading searchRes?.data?.hits into the state array
2. handleHistogramResponse (line 667): Added a length check before spreading searchRes?.content?.results?.hits into the state
3. handleStreamingHistogramHits (line 723): Added identical protection for streaming histogram hits

The pattern is consistent across all three locations: if (searchRes?.data?.hits?.length > 0) or similar, followed by the array spread operation only when data exists. This addresses a legitimate edge case where streaming aggregation APIs can return empty results during certain query phases or when no data matches the criteria.

These changes integrate well with the existing dashboard data loading architecture, which already handles asynchronous data fetching and state management. The defensive checks align with the codebase's approach to graceful error handling and prevent the UI from breaking when encountering empty result sets from backend streaming operations.

Confidence score: 4/5

• This PR is safe to merge with minimal risk as it only adds protective checks without changing core logic
• Score reflects defensive programming best practices and addresses a legitimate edge case in streaming data handling
• No files require special attention as the changes are straightforward null checks

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