feat(reports): occupancy curve, hour×dow heatmap, stay histogram, fraud KPIs
The dashboard had generic BI views but nothing parking-shaped. Added: - Occupancy step-area over the range with the configured capacity as a red reference line. occupancyStart folds the ENTIRE prior ledger (voided entries excluded, clamped ≥0); each series point carries occupancyEnd. Answers "when are we near full". - Entries heatmap hour × day-of-week (7×24, row 0 = Monday, site tz) as a pure CSS-grid intensity map — weekday-vs-weekend at a glance, the direct evidence for tariff windows. Replaces the flat hour histogram (strictly contains it). - Stay-duration histogram at tariff-shaped edges (30m/1h/2h/4h/8h/24h/ tail): where ladder/up-to breakpoints should sit. - Voids + anomalies KPIs (accented when >0) — the look-closer counters the signed chain exists for; peak-occupancy KPI (peak / capacity). - Revenue bars stacked cash vs card (the drawer's money vs the bank's); CSV export gains cash, card, occupancy_end columns. Internals: localParts caches its Intl formatter per tz (was one new formatter per ledger row); @parking/db re-exports lt/gt. 5 new tests. Claude-Session: https://claude.ai/code/session_01Xcm6ikLgGoCxxHrxtjkk5V
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@@ -48,9 +48,18 @@ export async function reportRoutes(app: FastifyInstance, db: Db): Promise<void>
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async (req, reply) => {
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const summary = reportSummary(db, parseQuery(req.query));
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const lines = [
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"bucket,entries,exits,payments,revenue",
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"bucket,entries,exits,payments,revenue,cash,card,occupancy_end",
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...summary.series.map((p) =>
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[p.bucket, p.entries, p.exits, p.payments, (p.revenueMinor / 100).toFixed(2)].join(","),
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[
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p.bucket,
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p.entries,
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p.exits,
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p.payments,
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(p.revenueMinor / 100).toFixed(2),
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(p.cashMinor / 100).toFixed(2),
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(p.cardMinor / 100).toFixed(2),
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p.occupancyEnd,
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].join(","),
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),
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];
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reply
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