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Marc-André Bombeck
67ccd55398
Switches two reader surfaces onto the persistent rollup table for the
linearly-composable stats. The comprehensive insights aggregator and
the slim analytics summaries slice now source count / min / max / mean
from the DAY rollup buckets via aggregateBuckets, plus the comprehensive
dailyByType correlation feed straight from the bucket means. Slope /
R² / standard deviation / anomaly counts stay on live SQL — they do
not compose across DAY buckets.
A defensive parity check against the live aggregate's COUNT(*) falls
back to live SQL when divergence is detected: covers the cold-mount
edge case where the rollup populator is mid-flight, and degrades
cleanly on the slim slice's all-time window for accounts that never
ran the explicit backfill.
Three new integration cases pin the parity contract end-to-end
against a real Postgres testcontainer: the aggregator's
count / min / max / mean matches live SQL byte-for-byte, dailyByType
matches a parallel date_trunc('day', ...) GROUP BY query, and a
freshly-written measurement is reflected on the next read.
tests: 4249 → 4280 unit + 222 → 228 integration. tsc + lint clean.