feat(insights): Phase B schema + service skeletons
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>
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@@ -8,7 +8,10 @@ import {
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index,
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uniqueIndex,
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primaryKey,
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jsonb,
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AnyPgColumn,
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} from 'drizzle-orm/pg-core';
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import { sql } from 'drizzle-orm';
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import { ports } from './ports';
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import { files } from './documents';
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@@ -36,6 +39,19 @@ export const expenses = pgTable(
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paymentDate: date('payment_date'),
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paymentReference: text('payment_reference'),
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paymentNotes: text('payment_notes'),
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/** When set, this expense is flagged as a duplicate of another in the
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* same port. Self-referencing FK; the dedup service writes this. */
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duplicateOf: text('duplicate_of').references((): AnyPgColumn => expenses.id, {
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onDelete: 'set null',
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}),
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/** Last time the dedup heuristic ran against this row. */
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dedupScannedAt: timestamp('dedup_scanned_at', { withTimezone: true }),
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/** OCR pipeline state: 'pending'|'ok'|'failed'|'low_confidence'. */
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ocrStatus: text('ocr_status').default('pending'),
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/** Full Claude Vision response payload for audit/debug. */
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ocrRaw: jsonb('ocr_raw'),
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/** 0..1; values < 0.6 force the verify-mode UI. */
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ocrConfidence: numeric('ocr_confidence'),
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createdBy: text('created_by').notNull(),
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archivedAt: timestamp('archived_at', { withTimezone: true }),
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createdAt: timestamp('created_at', { withTimezone: true }).notNull().defaultNow(),
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@@ -45,6 +61,10 @@ export const expenses = pgTable(
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index('idx_expenses_port').on(table.portId),
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index('idx_expenses_date').on(table.portId, table.expenseDate),
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index('idx_expenses_category').on(table.portId, table.category),
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// Powers the dedup heuristic lookup (port + vendor + amount + date window).
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index('idx_expenses_dedup')
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.on(table.portId, table.establishmentName, table.amount, table.expenseDate)
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.where(sql`duplicate_of IS NULL`),
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],
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);
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