bun defaults to --frozen-lockfile in CI environments, causing failures
when the lockfile format differs from the version used at build time.
Co-Authored-By: Claude <noreply@anthropic.com>
CI uses bun 1.3.14 (stable) but local dev uses canary. Lockfile
format can differ between versions causing spurious failures.
Co-Authored-By: Claude <noreply@anthropic.com>
- Updated @moonrepo/cli to version 2.2.5 and typescript to version 6.0.3 in package.json and shared package.json.
- Modified build script in package.json to run shared, api, and web builds.
- Removed unnecessary type and language declarations from shared moon.yml.
- Added ignoreDeprecations option in tsconfig.base.json to handle TypeScript 6.0 deprecations.
- Add environment-aware CORS and secure cookie support:
* Add secureCookies config to env.ts based on SECURE_COOKIES env var or https detection
* Integrate @elysiajs/cors with credentials and origin configuration
* Update cookie helpers to use SameSite=None; Secure in production
- Wrap expert review update and insert in database transaction for atomicity:
* Ensures diagnosis status update and review insert succeed together
* Rolls back both operations if either fails
* Preserves behavior: only update if status is needs_review, return badRequest if no row updated
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
In POST /reviews/:diagnosisId, perform the conditional diagnoses update
first with .returning() to determine whether a row was updated. The update
WHERE includes both id and status 'needs_review'. If no row is returned,
return badRequest and do not insert an expert review. Only after a
successful update insert expertReviews. This prevents concurrent reviewers
from both inserting review rows when only one update should win.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Reject diagnoses not in needs_review status with badRequest
- Make update conditional on both id and status needs_review using and()
- Simplify isDiagnosisRecordOrNull type guard with type alias
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Replace `function toReview(row: any)` with typed ReviewRow interface
- Reconstruct DiseaseCatalogItem explicitly from selected fields instead of casting
- Replace `.filter(Boolean)` with typed isDiagnosisRecord predicate
- Add proper type narrowing for verdict and correctedDiseaseSlug in toReview
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Replace unsafe `as any` casts with proper type guards using `isDiseaseSlug()`
and explicit type casting to `DiagnosisStatus` and `DiseaseCatalogItem`.
Replace non-null assertions with explicit null checks that return
`serviceUnavailable()` errors when database operations fail.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Implement diagnosis persistence routes with image upload, classification,
and prediction storage. Add missing HTTP error helpers (unauthorized,
forbidden) and update uploader client to use configurable base URL.
- Create POST /api/v1/diagnoses to upload images and store classifications
- Create GET /api/v1/diagnoses to list user's diagnoses (30 most recent)
- Create GET /api/v1/diagnoses/:id to retrieve diagnosis with predictions
- Add loadDiagnosisRecord helper for consistent diagnosis data loading
- Update uploader-client.ts to use env.uploaderBaseUrl
- Add unauthorized and forbidden error helpers to http-errors.ts
- Register diagnosisRoutes in main app
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Extend shared types for image classification, including PredictionProbability, UploaderMetadata, and ImageClassificationRecord.
- Create image_classifications table in the database with necessary fields and foreign key constraints.
- Implement disease mappers to convert database rows to shared disease records.
- Develop uploader client to handle image uploads to external service.
- Create image model service to load and classify images using TensorFlow.js.
- Add API routes for image classification, including GET for history and POST for new classifications.
- Implement frontend components for image classification form and display results.
- Update dashboard to integrate image classification functionality and display results.
- Document implementation plan for backend image classification.
- Add disease detail page component with data fetching and error handling
- Create shared types for diseases and classifications
- Implement API routes for diseases, classifications, and dashboard summary
- Develop reusable components for risk badge and disease card
- Build catalog page with search and filter functionality
- Update dashboard page with data-backed summary and manual classification form
- Register new routes in the web application
- Ensure type safety and consistency across shared modules
- Install bun dependencies and generate bun.lock
- Add @types/bun to API dev dependencies for Bun type support
- Add @types/react and @types/react-dom to web dev dependencies
- Fix web tsconfig.node.json composite project emit configuration
- Verify all packages typecheck and build successfully
- Verify API health and status endpoints respond correctly
All verification steps passed:
- bun install: 354 packages installed
- packages/shared typecheck: OK
- packages/shared build: OK (dist generated)
- apps/api typecheck: OK
- apps/api build: OK (0.76 MB bundle)
- apps/web typecheck: OK
- apps/web build: OK (dist generated)
- API /health endpoint: {"status":"ok"}
- API /api/v1/status endpoint: {"name":"ZeaVis Edu","status":"ok","version":"0.1.0"}
