feat(core): Optimize HITS algorithm and metrics persistence#27
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- Refactor `computeHITS` to use array-based adjacency lists and TypedArrays, improving performance by ~5x (10k nodes in ~260ms).
- Update `GraphNode` interface to include `crawlStatus`, `wordCount`, `thinContentScore`, `externalLinkRatio`, `orphanScore`.
- Update `loadGraphFromSnapshot` to populate these metrics from the database, enabling efficient persistence.
- Refactor `runPostCrawlMetrics` in `metricsRunner.ts` to:
- Pre-fetch page identities (`id`, `url`) using `getPagesIdentityBySnapshot`.
- Eliminate N+1 SELECT queries inside the processing loop by using loaded `GraphNode` data.
- Add `getPagesIdentityBySnapshot` to `PageRepository` to reduce memory usage during metrics calculation.
- Add `insertMany` and optimize `getMetricsForPage` in `MetricsRepository`.
- Add `tests/graphLoader.test.ts` to verify correct data loading from DB to GraphNode.
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This PR significantly improves the performance of the post-crawl analysis phase, specifically for HITS scoring and metrics persistence.
Changes
HITS Algorithm Optimization:
Float64Arrayfor score storage.Metrics Persistence Optimization:
runPostCrawlMetricswheregetIdByUrlandgetMetricsForPagewere called for every node.Mapusing a lightweight query (getPagesIdentityBySnapshot) to avoid loading full page content (HTML) into memory.GraphNodeandloadGraphFromSnapshotto carry necessary metric data, allowing the persistence loop to operate purely on in-memory objects without additional DB reads.Tests:
plugins/core/tests/graphLoader.test.tsto verify that metrics are correctly loaded from the database into the graph structure.hits.test.ts.crawler.test.ts.PR created automatically by Jules for task 6283601808976102817 started by @saurabhsharma2u