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Introduces a lightweight, cached data feed tailored for sitemap generation. Provides minimal series and message metadata (IDs and dates) via a dedicated endpoint, leveraging existing caching to reduce repeated queries and improve performance. Caches results for two hours to align with sitemap regeneration strategies. Enhances reliability with comprehensive tests covering cache hits/misses, empty datasets, and partial failures, ensuring consistent behavior and efficient data retrieval. - Adds minimal response models for sitemap use - Implements service logic to aggregate and cache data - Exposes a GET endpoint to retrieve sitemap-ready data - Reuses existing caches to minimize backend load - Adds unit tests for success, edge cases, and error handling
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✅ AI Code Review: No issues found. The changes look good! |
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Introduces a lightweight, cached data feed tailored for sitemap generation. Provides minimal series and message metadata (IDs and dates) via a dedicated endpoint, leveraging existing caching to reduce repeated queries and improve performance. Caches results for two hours to align with sitemap regeneration strategies.
Enhances reliability with comprehensive tests covering cache hits/misses, empty datasets, and partial failures, ensuring consistent behavior and efficient data retrieval.