Granular caching#1
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Greptile SummaryThis PR implements granular caching for track analysis by breaking down the analysis generation into individual fields that can be cached and regenerated independently. Major changes:
Issues found:
Confidence Score: 4/5
Important Files Changed
Sequence DiagramsequenceDiagram
participant UI as UI Component
participant API as Server API
participant Store as Redis Store
participant Analysis as Analysis Service
participant AI as Gemini AI
UI->>API: POST /api/analyse?trackId=xyz
API->>Store: getTrack(trackId)
Store-->>API: Track with partial analysis
API->>API: Check trackAnalysisFilled()
alt Analysis incomplete
API->>Store: updateTrack (loading: true, defaultAnalysis)
API->>UI: SSE: analysisUpdate event
API->>Analysis: runAnalysis(track)
Analysis->>Analysis: Filter unfilled fields
Analysis->>AI: generateText (partial schema)
AI-->>Analysis: Generated content for missing fields
Analysis->>Store: updateTrack (merge results)
Analysis->>UI: SSE: analysisUpdate event
else Analysis complete
API->>UI: 200 "Analysis already completed"
end
Last reviewed commit: 3e389cf |
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Invalid Tailwind syntax - !important modifier must come before the class name
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Invalid Tailwind syntax - !important modifier must come before the class name
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Still need to do the component that separates out each part of the analysis into its own cache key