Marc-André Bombeck 901e7d345d fix(insights): resolve cross-source double-count and read truncation in mood crosstab ...

The tag × metric crosstab summed cumulative metrics (steps, active
energy, sleep duration) per day across every source with no canonical
pick, so once two sources reported the same day — Fitbit + Apple steps,
Fitbit + WHOOP sleep — the per-day total double-counted and inflated the
with/without averages and the Welch delta the surface ranks on. Run the
metric rows through the same per-day source-priority + device-type picker
the analytics steps/sleep path uses before bucketing, keyed by the
metric's priority ladder and the user's Berlin calendar day. Same-source
per-stage rows still sum into the night total; only cross-source twins
collapse. Thread the user's source-priority blob through the read so the
pick honours the configured ladder.

The cross-metric read was a flat `take: 5000` over the 365-day window
ordered `measuredAt desc`, unioned across per-stage sleep + per-sample
pulse/HRV; a multi-source, high-frequency user blew past it and silently
dropped the oldest months, biasing the crosstab and the long-window
correlations toward recent data. Lift the cap to cover the realistic
worst case for the window and annotate a wide event when the cap is hit
so a truncated read is observable rather than silently wrong. The read
stays raw rather than moving to the DAY rollup tier because that tier
buckets on UTC midnight while these aggregates key on the user's Berlin
day, which would skew the day pairing at the boundary.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit aa72ffba6e3bcac9f97be4adc26d689d4f352e98)

2026-06-05 03:25:22 +02:00

..

integration

fix(insights): resolve cross-source double-count and read truncation in mood crosstab

2026-06-05 03:25:22 +02:00