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v1.4.16 phase B5e: ship the pg-boss `feedback-aggregator` queue that
runs daily at 04:00 Europe/Berlin (after the rate-limit, idempotency,
audit-log cleanups). Aggregates the last 30 days of
`RecommendationFeedback` rows into per-(severity, metricSourceType,
providerType, promptVersion) buckets and writes a JSON summary to
the singleton `AppSettings.adminAiInsightsFeedbackSummary` row.
Summary shape:
{ generatedAt, windowDays, buckets:
[{ severity, metricSourceType, providerType, promptVersion,
helpful, notHelpful, total, helpfulRate }] }
Bucketing is split into a pure `buildFeedbackBuckets()` helper so the
admin's ad-hoc analysis tools can reuse it without going through
Prisma. helpfulRate is rounded to 2 decimals; sort order is
deterministic (severity → metricSourceType → providerType →
promptVersion) so the admin UI's row order stays stable across
aggregator runs.
Single-user-default-on policy (research §3): the aggregator runs
unconditionally for the user's own ratings. Cross-user prompt-tuning
stays admin-only via `requireAdmin()` gating on the consuming
endpoint; the aggregator just produces the data. Prompt mutation
itself is a v1.4.17 ratchet — this commit only delivers the loop
infrastructure.
Worker handler degrades gracefully on failure: warns instead of
throwing so a single-tick error doesn't poison the queue and block
the next cleanup window. Wide-Event annotations: feedback_buckets,
feedback_total_rows, feedback_window_days.
Tests: 5 new unit tests (3 bucketing scenarios + 2 aggregator
default-window + custom-window).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>