Refactor search analytics#2
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Replace @upstash/core-analytics with a direct Redis Search implementation. - Store each citation as a hash per (dimensions, hour) at <prefix>:event:<data-hash>:<hourInt>; a Lua script HINCRBYs the counter and writes metadata + TTL (default 28d, configurable) on first hit. - Order-independent data-hash; hourInt kept internal (public API uses Date). - Add AgentAnalytics.query namespace (aggregateBy, timeseries, getIndex, dropIndex) backed by a search index over the event hashes. - Make keyPrefix/eventKey protected. - Move implementation under src/; trim public surface to AgentAnalytics + types. - Add unit + live integration tests.
aggregateBy/timeseries no longer call waitIndexing implicitly; callers invoke query.waitIndexing() when they need read-after-write consistency.
…sing aggregateBy/timeseries now query via redis.search.index (a local handle, no round-trip) instead of createIndex, so each read is a single request. The index must be created once via query.getIndex(); querying a missing index now throws a clear IndexNotFoundError (a describe() round-trip is paid only on the error path) instead of an opaque TypeError.
- aggregateBy({ field, since, until? }) and timeseries({ since, until?, groupBy? })
now each take one options object (AggregateByOptions / TimeseriesOptions).
- Add scripts/seed.ts (bun run seed): writes 30 days of hourly history with
diurnal/weekly patterns and deliberate empty buckets, then creates the index.
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