PR3 of Phase B. Replaces the no-op stubs in analytics.service.ts with
working drizzle queries and adds the recurring BullMQ job that warms
the cache.
Computations:
- computePipelineFunnel: groups interests by pipeline_stage filtered by
port + range + not archived; emits 8-row stages array with conversion
pct relative to 'open' as the funnel top.
- computeOccupancyTimeline: per day in range, counts berths covered by
an active reservation (start_date ≤ day, end_date IS NULL OR ≥ day);
emits {date, occupied, total, occupancyPct}.
- computeRevenueBreakdown: sums invoices.total grouped by status +
currency; filters out archived rows.
- computeLeadSourceAttribution: counts interests by source descending;
null source bucketed as 'unspecified'.
Public API (getPipelineFunnel, getOccupancyTimeline, etc.) reads
analytics_snapshots first; falls back to compute + writeSnapshot. TTL
15 minutes (matches the cron interval).
Cron:
- queue/scheduler.ts registers 'analytics-refresh' on maintenance with
pattern '*/15 * * * *'.
- queue/workers/maintenance.ts dispatches to refreshSnapshotsForPort
for every port; per-port try/catch so one bad port doesn't kill the
sweep.
Tests: tests/integration/analytics-service.test.ts (9 cases). Pipeline
funnel math (incl. zero state), occupancy timeline shape/percentages
with seeded reservations, revenue grouped by status + currency, lead
source attribution incl. null bucketing, cache hit (mutate snapshot
directly → next read returns mutated value), refreshSnapshotsForPort
warms every metric×range combo.
Vitest 690/690 (+9). tsc + lint clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
PR1 of Phase B per docs/superpowers/specs/2026-04-28-phase-b-insights-alerts-design.md.
Lays the foundation that PRs 2-10 will fill in with behaviour.
Schema (migration 0014):
- alerts table with rule-engine fields (rule_id, severity, link,
entity_type/id, fingerprint, fired/dismissed/acknowledged/resolved
timestamps, jsonb metadata). Partial-unique fingerprint index keeps
one open row per (port, rule, entity); separate indexes power
severity-filtered and time-ordered queries.
- analytics_snapshots (port_id, metric_id) -> jsonb cache + computedAt
for the 15-min recurring refresh.
- expenses: duplicate_of self-FK, dedup_scanned_at, ocr_status/raw/
confidence; partial index on (port, vendor, amount, date) where
duplicate_of IS NULL drives the dedup heuristic.
- audit_logs.search_text: GENERATED ALWAYS tsvector over
action+entity_type+entity_id+user_id, GIN-indexed (drizzle can't
model GENERATED ALWAYS in TS yet, so the migration appends manual
ALTER + the GIN index).
Service skeletons in src/lib/services/:
- alerts.service.ts: fingerprintFor, reconcileAlertsForPort (upsert +
auto-resolve), dismiss, acknowledge, listAlertsForPort.
- alert-rules.ts: RULE_REGISTRY of 10 rule evaluators (currently no-op);
PR2 fills in the bodies.
- analytics.service.ts: readSnapshot/writeSnapshot with 15-min TTL +
no-op compute* stubs for the four chart series; PR3 fills behavior.
- expense-dedup.service.ts: scanForDuplicates + markBestDuplicate
using the partial dedup index. PR8 wires the BullMQ trigger.
- expense-ocr.service.ts: OcrResult/OcrLineItem types + ocrReceipt
stub. PR9 wires Claude Vision (Haiku 4.5 + ephemeral system-prompt
cache).
- audit-search.service.ts: tsvector @@ plainto_tsquery + cursor
pagination on (createdAt, id). PR10 wires the admin UI.
tsc clean, lint clean, vitest 675/675 (one unrelated AES random-output
flake passes solo).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
