M3: implement Data Quality Workbench

Five rule scanners (duplicate customers, missing fields, odometer regression, booking overlap, status conflict) run automatically after seed and via an explicit scan endpoint. Issue defer/reject/merge-customers endpoints with transactional customer merge (booking rewiring, tombstone, audit). Data Quality nav + workbench UI with two-column duplicate comparison and inline (non-native) confirm. Dashboard attention items now link to issues. 35 backend tests passing, ruff clean. Fixed a real false-positive bug in odometer-regression detection found through iteration on seed data, and two TS narrowing errors. Verified end-to-end via browser: S2 merge and S4 overlap scenarios.
2026-08-01 22:11:06 +02:00
parent 0091c57c7f
commit a7cbeaae3b
17 changed files with 1127 additions and 5 deletions
@@ -5,6 +5,7 @@ const NAV_ITEMS = [
  { to: "/dashboard", label: "Dashboard" },
  { to: "/vehicles", label: "Vehicles" },
  { to: "/bookings", label: "Bookings" },
+  { to: "/data-quality", label: "Data Quality" },
  { to: "/audit", label: "Audit" },
 ];