feat(ai): persist hint usage and difficulty analytics (BA-081) - #735
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MaryammAli merged 1 commit intoAug 28, 2026
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…Dash-Studios#649) - Track hint usage durably, keyed by userId:hintId (deduplicated per user) - Persist records to Redis under hint:usage:... and unique-user sets under hint:users:... - Add getHintUsageAnalytics() aggregating totalUses, uniqueUsers, usesByHint, usesByDifficulty - Mirror Redis state into a fresh service instance so counts survive restarts - Expose GET /ai/hints/analytics endpoint - Add unit tests for dedup, user-scoping, difficulty distribution, and restart durability
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This PR was re-created as #745 to correct commit authorship attribution (commits were initially authored with the wrong git identity). The replacement PR is identical in content. |
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Closes #649
Description
In-memory hint counts disappear on restart and cannot support difficulty calibration across instances. This change makes hint usage durable, user-scoped, deduplicated per user, and queryable for analytics.
Changes
userId:hintId(deduplicated: repeated requests from the same user incrementusedCounton one record)hint:usage:{userId}:{hintId}and unique-user sets underhint:users:{hintId}getHintUsageAnalytics()aggregatestotalUses,uniqueUsers,usesByHint,usesByDifficulty, and per-record detailsGET /ai/hints/analyticsVerification
npm test src/ai/ai.service.spec.tspasses (10/10)