The per-type avg/min/max blended every ingest source, so a metric carried
by two overlapping sources on the same day (WHOOP + Apple Watch resting
heart rate) averaged both readings while the dashboard and rollups already
collapse to the ladder-canonical source per day. Route the report's raw
measurements through the same picker the analytics aggregator uses
(pickCanonicalSourceRows, keyed by metricKeyForType + the user day key +
source-priority ladder) before grouping, so the PDF and FHIR numbers match
the dashboard. SLEEP_DURATION stays untouched — its per-stage rows are
resolved by the per-night reconstruction downstream. Adds a parity test.
Marc-André Bombeck
b9a3f577ca