pdf-quiz-generator/docs/quiz-revamp-progress.md
Daniel f696b99569 fix: close custom-test review gaps and verify grading
Handle ownerless question revocation, legacy hide sharing, private deletion, selected-set grading including skips, UI validation/reparent/delete safeguards and offline-safe hierarchy migration. Verified 14 backend tests in deployed image, 13 frontend tests/build and real disposable PostgreSQL migration round-trip. Related tutor/image privacy work remains before deployment.
2026-09-07 02:07:58 +02:00

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Quiz revamp progress

Milestone 1 — custom tests and categories

Implemented in affd717 plus the follow-up review-fix commit:

  • Learner custom-test builder: multiple categories and descendants, exact available counts, 1200 questions, study/exam modes, unused/incorrect/bookmarked filters, fixed saved membership and optional sharing.
  • Existing categories retain IDs/assignments; optional hierarchy, cycle guards, breadcrumbs and educator reparenting support added.
  • Central general-quiz visibility and sharing checks across web, attempts and mobile; ownerless-question revocation is NULL-safe and both Hide and Unshare revoke public access.
  • Explicit question selection rejects private/course/missing IDs. Peer deletion of private/manual questions is denied.
  • Web, mobile and expiry use one grading function. Duplicate/out-of-pool submissions are rejected; skips have recorded incorrect outcomes; reviews use selected questions only, and unfinished attempts do not return answer review.
  • Category UI handles validation arrays, refreshes reparented filters and offers relocation even when the visible question count is zero. Private quiz titles are keyboard-accessible links.
  • Category migration supports real offline SQL rendering and existing/fresh schemas.

Verification

Initial implementation received two independent read-only reviews (access/correctness and UI/migration). The parent applied the accepted fixes and added behavioral regressions.

  • Backend: 14 tests passed inside the exact deployed backend image sha256:77d9af981537a09396fb5a511f27b4efd00794443823db8eb522beb3aa70a5b9 (Python 3.11 and deployed library versions). Disposable SQLite only; network disabled; no production data.
  • Frontend: 13 tests passed in four suites with NODE_ENV=test npm test; production build passed with NODE_ENV=production npm run build.
  • PostgreSQL 16: actual migration upgrade, FK enforcement, existing-row/question-assignment preservation, repeated upgrade, downgrade and re-upgrade passed in a disposable network-isolated container. Container/data cleaned up automatically.
  • Alembic offline SQL: explicit 5f8c1c2a9d40:c82d19e4a601 upgrade and reverse downgrade exercised without mocking inspection.
  • Changed Python syntax and git diff --check passed.
  • Regression negative-control run against the unfixed affd717 is tracked separately; do not infer its result from the passing fixed-code suite.

The first Docker validation attempt failed before tests because a read-only mountpoint was absent; setup was corrected. One frontend regression initially used an ambiguous Create Quiz selector; the modal was labeled and the test scoped to it, then all tests passed.

Release boundaries

This milestone is source work on the feature branch, not a production deployment or completion of the whole revamp. Apply migrations explicitly before serving updated code against the existing production DB; startup does not automatically upgrade existing tables.

Older tutor-context and question-image delivery authorization gaps identified by review remain a release blocker and have their own tracked privacy task. Already-downloaded offline content cannot be recalled by server revocation. No new AI provider calls or production database/service changes were performed.

Next

Continue with the Orthobullets-inspired runner/results UI, question navigation and study tools; then article/subsection reading, linked flashcards, educator AI authoring and moderated comments. Complete related-content privacy work and end-to-end desktop/mobile validation before deployment.