feat(reports): vendor + admin reports, CSV export, demand forecasting#23
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Reporting and a statistical demand forecast — all SQL-aggregated (no in-memory summing), company-scoped for vendors. - Vendor: GET /api/vendor/reports/summary (trips, confirmed bookings, seats sold, revenue from completed payments, occupancy %), /reports/trips (per-trip rows), and /reports/trips/export (CSV download). - Admin: GET /api/admin/reports/summary (platform-wide companies/active/trips/ confirmed-bookings/revenue). - Demand: GET /api/vendor/demand/predict?origin&destination&date — forecasts seats from the company's last-90-days history (day-of-week baseline × recent-vs-earlier trend × seasonal factor), with a sample-size-based confidence. No ML dependency. - CsvWriter: dependency-free, RFC-4180 quoting + formula-injection defense (neutralizes a leading = + - @) per the security skill. 53 unit + 32 integration green (reports reflect a confirmed paid booking; CSV is text/csv with the data; demand returns a well-formed forecast); 0 warnings. Note: XLSX/PDF exports and a frontend reporting dashboard are follow-ups; this PR delivers the data + CSV via the API.
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…#45) Completes the dashboards against the analytics + sales backend (#23/#37/#40) and the admin notify/reports endpoints: - Vendor Reports: date-range financial/occupancy summary cards, per-trip table, CSV/XLSX/PDF download, and a demand-forecast widget. - Vendor Promo: list + create (percent/fixed, caps, expiry) + deactivate. - Vendor Desk: counter cash booking (trip + customer + passengers) and a company-bookings list with cancel/refund — reachable by managers AND staff (the vendor nav now shows only the Desk to staff). - Admin: per-company in-app Notify composer, plus a platform overview page (companies/trips/bookings/revenue) behind a new admin nav. Frontend only. ng build + ng lint clean.
2 participants
What
Reporting + a statistical demand forecast — all SQL-aggregated (no in-memory summing), company-scoped for vendors.
Endpoints
GET /api/vendor/reports/summary(trips, confirmed bookings, seats sold, revenue from completed payments, occupancy %),/reports/trips(per-trip rows),/reports/trips/export(CSV download).GET /api/admin/reports/summary(platform-wide companies / active / trips / confirmed bookings / revenue).GET /api/vendor/demand/predict?origin&destination&date— forecasts seats from the company's last-90-days history: day-of-week baseline × recent-vs-earlier trend × seasonal factor (weekend / summer / Dec–Jan), with a sample-size-based confidence. No ML dependency.Safety
CsvWriteris dependency-free with RFC-4180 quoting plus formula-injection defense (neutralizes a leading=+-@) per thecheck-securityskill.Tests
ReportsTests(Testcontainers): vendor + admin reports reflect a confirmed, paid booking (revenue/seats/occupancy), the CSV export istext/csvwith the data, and the demand endpoint returns a well-formed forecast. 53 unit + 32 integration green; 0 warnings.Note
XLSX/PDF exports and a frontend reporting dashboard are follow-ups; this PR delivers the data + CSV via the API.
Part of the phased roadmap (indexes ✅ → Google OAuth ✅ → staff ✅ → payments ✅ → notifications/real-time ✅ → reports/demand → observability).