- Add a single shared, pure vehicle-status evaluator (app/services/vehicle_status.py)
used identically by the data-quality scanner, a new non-mutating status-recommendation
preview endpoint, and a transactional apply endpoint with optimistic-concurrency token
revalidation -- eliminates the old opaque "calculate and apply" action and the unsafe
"maintenance + active booking -> auto rented" shortcut. Frontend
DataQualityIssueDetail.tsx now shows a review/decide/confirm panel with localized
why/evidence/consequence text in nl-BE/en-GB/fr-BE, with an exact "Change status to
<status>" confirm action per the brief.
- Fix MO-016 issue-order dependency: resolving the booking-overlap issue before vs.
after the status-conflict issue now converges on the same final vehicle status,
proven by test_mo_016_status_conflict_recommendation_is_order_independent.
- Make "Fleet Ops" a non-localizable brand constant (frontend/src/product.ts,
backend PRODUCT_NAME) via {{productName}} interpolation everywhere the brand name
appeared in locale prose; add a permanent test guarding against a translation file
ever defining the brand name or an "appName" key again.
- Convert dynamic backend prose to stable message codes + params: return status
reasons, audit field/actor-type labels, automation last_error, and search
section/vehicle/booking/issue results all now carry codes the frontend localizes,
with raw technical text demoted to a "Technical details" disclosure.
- docs/fleet-ops-correction/: gap audit, i18n inventory, and the vehicle-status
decision table documenting the evaluator's rules and safe-status principles.
148 backend tests + Ruff + mypy green; Alembic migration verified upgrade/downgrade;
frontend tsc/build and the i18n-coverage Playwright suite green.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
The original docs described two n8n workflows but the repository only ever
shipped one (return-processing); the sketched second workflow (knowledge
sync) depends on RAGcore, which isn't connected here, so it stays deferred.
Add POST /api/v1/integrations/n8n/scheduled-scan (X-Service-Token
protected, same pattern as the return callback), calling the same
run_scan() the manual "Run quality scan" UI action uses and recording a
service-actor data_quality_scan_run audit event. run_scan() already only
creates an issue for a condition without one open, so overlapping triggers
do no duplicate domain work.
n8n/mobilityops-scheduled-quality-scan.json (hourly schedule + manual test
trigger, both feeding the same HTTP call) ships "active": false so it can't
fire anywhere until deliberately published. Verified live against the
local n8n instance via the Manual test trigger: full green execution, and
the resulting data_quality_scan_run audit event (actor_type=service,
actor_label="n8n scheduled scan") confirms the real round trip, not just a
contract test. deploy/unraid/setup-scheduled-scan.sh mirrors the existing
return-workflow publish script for the shared Unraid n8n.
Two real gaps here: related-entity snapshots were typed by inferring from
the issue's rule_type (get_issue always resolved related refs as "customer"
for duplicates and "vehicle" for everything else), so a booking_overlap
issue's related bookings silently failed to resolve; and defer/reject were
the only resolution actions for 4 of 5 rule types, leaving
missing_required_field, odometer_regression, booking_overlap and
vehicle_status_conflict with no real path beyond a generic reject.
Type related entities from their own public-reference prefix (CUS-/MO-/
BK-/INSP-) instead of the issue's rule_type, and add typed snapshots for
booking and inspection. Add one bounded resolution endpoint per remaining
rule type: provide-fields (re-runs the missing-field check, resolves only
once nothing required is missing), resolve-odometer-regression (retain
canonical or correct the reading -- never silently lowers canonical
mileage), resolve-overlap (blocks one of the two bookings, re-verifies no
overlap remains), apply-recommended-status (one authoritative
recommendation function shared with re-validation). Manual scan now takes
an actor and audits data_quality_scan_run. Reintroduced evidence after a
non-open decision links the new issue back to the prior one
(evidence.reopened_from / previous_decision) instead of looking like a
fresh, undecided problem.
Ran a dedicated post-M7 release-readiness audit. Found and fixed the one real gap: mypy
was a declared dev dependency but had never been run in any milestone's validation loop.
Fixed all 43 pre-existing type errors it surfaced, including two genuine defensive-
programming gaps (unguarded Optional vehicle/customer lookups that could have crashed
with unhandled 500s instead of clean 404/401 responses) rather than suppressing them.
make lint now runs ruff + mypy; mypy reports zero errors across 44 source files.
Re-verified end to end against a genuinely wiped-volumes clean checkout: automatic
migrations, deterministic seed, 66/66 backend tests, and the full user-journey matrix
(login, dashboard, vehicle/booking detail, return workflow, invalid-mileage rejection,
data-quality review, duplicate-customer merge, audit trail, Knowledge Assistant, n8n,
MCP Hub) via curl and Playwright.
Live-verified both external-dependency degraded modes, not just unit tests: stopped n8n
mid-flow and confirmed a return still commits with the outbox event staying pending and
retrying with backoff, then self-healing to succeeded with zero manual intervention once
n8n came back; verified RAGcore's unavailable-degradation path against an unreachable
host. Added frontend/e2e/interactive-elements.spec.ts (11 tests covering every nav item,
filter, tab, and role boundary) alongside the existing demo script test — 12/12 e2e tests
passing.
Verified no secrets are committed (.env never tracked, clean git history scan) and
.env.example covers every operator-configurable setting. Confirmed no placeholders,
TODOs, fake responses, hardcoded metrics, or dead routes anywhere in the codebase.
Updated README.md with an honest integration-status section and PROJECT_STATE.md with
the full audit findings. Added artifacts/final-acceptance/summary.md as the authoritative
final evidence document (commands, results, URLs, demo access, integration status per
external dependency, known limitations, deployment instructions, five-minute demo flow).
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.
