- Replace 37 instances of 'any' type with proper TypeScript types
- Fix trailing spaces in i18n.test.ts
- Add proper interfaces for profanity analysis and matches
- Extend Express Request interface with custom properties
- Fix error handling in ProfanityFilterService for constraint violations
- Update test mocks to satisfy TypeScript strict checking
- All 147 tests now pass with 0 linting errors
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add 19 integration tests for i18n API routes with 100% coverage
- Fix Express route ordering: specific routes (/detect) before parameterized routes (/:locale)
- Test all endpoints: locale translations, available locales, locale detection
- Test error cases: unsupported locales, missing translations, malformed headers
- Test HTTP caching headers and content-type validation
- Include i18n routes in coverage collection (was previously excluded)
Coverage improvement: 147 tests total (+19), 79.9% statements (+1.2%)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove unused imports: LocationSubmission from types, Location/ProfanityWord from server
- Remove unused variables: wordText, detectedWords in profanity rejection
- Remove unused parameters: req in skip function, wordId/updates in fallback filter
- Fix regex escaping and destructuring patterns
- Remove unused response variables in tests
- Reduce ESLint issues from 45 to 22 (eliminated all 21 errors, keeping only warnings)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add integration tests for admin routes with authentication
- Add unit tests for DatabaseService with proper mocking
- Fix ProfanityFilterService tests to handle case variations
- Remove old JavaScript test files
- Add coverage reporting to gitignore
- All 123 tests passing with 76% overall coverage
Coverage achieved:
- Models: 69.5% statements
- Routes: 80.6% statements
- Services: 75% statements
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Configure Jest for TypeScript testing with ts-jest preset
- Create comprehensive unit tests for Location model (15 tests)
- Create comprehensive unit tests for ProfanityWord model (16 tests)
- Create comprehensive unit tests for ProfanityFilterService (30+ tests)
- Create integration tests for public API routes (18 tests)
- Add test database setup and teardown utilities
- Configure coverage reporting with 80% threshold
- Install testing dependencies (@types/jest, ts-jest, @types/supertest)
Test Coverage:
- Location model: Full CRUD operations, validation, cleanup
- ProfanityWord model: Full CRUD operations, constraints, case handling
- ProfanityFilterService: Text analysis, custom words, filtering
- Public API routes: Configuration, location reporting, error handling
- Request validation: JSON parsing, content types, edge cases
Features:
- In-memory SQLite databases for isolated testing
- Comprehensive test setup with proper cleanup
- Mock profanity filters for controlled testing
- Type-safe test implementations with TypeScript
- Detailed test scenarios for edge cases and error conditions
All tests passing: 67 total tests across models and integration
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Create dedicated ProfanityFilter class with isolated SQLite database
- Separate profanity.db from main application database to prevent SQLITE_MISUSE errors
- Add comprehensive custom word management (CRUD operations)
- Implement advanced profanity detection with leetspeak and pattern matching
- Add admin UI for managing custom profanity words
- Add extensive test suites for both profanity filter and API routes
- Update server.js to use isolated profanity filter
- Add proper database initialization and cleanup methods
- Support in-memory databases for testing
Breaking changes:
- Profanity filter now uses separate database file
- Updated admin API endpoints for profanity management
- Enhanced profanity detection capabilities
