- Replace black, isort, and flake8 with Ruff (all-in-one linter and formatter)
- Add comprehensive pyproject.toml configuration
- Simplify Makefile code quality targets
- Configure exclusions for venv/.venv in pyproject.toml
- Auto-fix 1,359 linting issues across codebase
Benefits:
- Much faster builds (Ruff is written in Rust)
- Single tool replaces multiple tools
- More comprehensive rule set (UP, B, C4, SIM, PIE, RET, Q)
- All configuration centralized in pyproject.toml
- Better import sorting and formatting consistency
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Standardize quote style (single to double quotes)
- Reorder and group imports alphabetically
- Fix line breaks and indentation for consistency
- Apply PEP 8 formatting standards
Also updated Makefile to exclude both venv and .venv from code quality checks.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement comprehensive code quality dashboard (Phase 2-4) to track and manage
architecture violations found by the validation script.
Backend Implementation:
- Add JSON output support to validate_architecture.py script
- Create CodeQualityService with scan management, violation tracking, and statistics
- Implement REST API endpoints for code quality management:
* POST /admin/code-quality/scan - trigger new architecture scan
* GET /admin/code-quality/scans - list scan history
* GET /admin/code-quality/violations - list violations with filtering/pagination
* GET /admin/code-quality/violations/{id} - get violation details
* POST /admin/code-quality/violations/{id}/assign - assign to developer
* POST /admin/code-quality/violations/{id}/resolve - mark as resolved
* POST /admin/code-quality/violations/{id}/ignore - mark as ignored
* POST /admin/code-quality/violations/{id}/comments - add comments
* GET /admin/code-quality/stats - dashboard statistics
- Fix architecture_scan model imports to use app.core.database
Frontend Implementation:
- Create code quality dashboard page (code-quality-dashboard.html)
* Summary cards for total violations, errors, warnings, health score
* Status breakdown (open, assigned, resolved, ignored)
* Trend visualization for last 7 scans
* Top violating files list
* Violations by rule and module
* Quick action links
- Create violations list page (code-quality-violations.html)
* Filterable table by severity, status, rule ID, file path
* Pagination support
* Violation detail view links
- Add Alpine.js components (code-quality-dashboard.js, code-quality-violations.js)
* Dashboard state management and scan triggering
* Violations list with filtering and pagination
* API integration with authentication
- Add "Code Quality" navigation link in admin sidebar (Developer Tools section)
Routes:
- GET /admin/code-quality - dashboard page
- GET /admin/code-quality/violations - violations list
- GET /admin/code-quality/violations/{id} - violation details
Features:
- Real-time scan execution from UI
- Technical debt score calculation (0-100 scale)
- Violation workflow: open → assigned → resolved/ignored
- Trend tracking across multiple scans
- File and module-level insights
- Assignment system with priorities and due dates
- Collaborative comments on violations
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implemented automated architecture validation to enforce design decisions:
Architecture Validation System:
- Created .architecture-rules.yaml with comprehensive rule definitions
- Implemented validate_architecture.py script with AST-based validation
- Added pre-commit hook configuration for automatic validation
- Comprehensive documentation in docs/architecture/architecture-patterns.md
Key Design Rules Enforced:
- API-001 to API-004: API endpoint patterns (Pydantic models, no business logic, exception handling, auth)
- SVC-001 to SVC-004: Service layer patterns (domain exceptions, db session params, no HTTP concerns)
- MDL-001 to MDL-002: Model separation (SQLAlchemy vs Pydantic)
- EXC-001 to EXC-002: Exception handling (custom exceptions, no bare except)
- JS-001 to JS-003: JavaScript patterns (apiClient, logger, Alpine components)
- TPL-001: Template patterns (extend base.html)
Features:
- Validates separation of concerns (routes vs services vs models)
- Enforces proper exception handling (domain exceptions in services, HTTP in routes)
- Checks database session patterns and Pydantic model usage
- JavaScript and template validation
- Detailed error reporting with suggestions
- Integration with pre-commit hooks and CI/CD
UI Fix:
- Fixed icon names in content-pages.html (pencil→edit, trash→delete)
Documentation:
- Added architecture patterns guide with examples
- Created scripts/README.md for validator usage
- Updated mkdocs.yml with architecture documentation
- Built and verified documentation successfully
Usage:
python scripts/validate_architecture.py # Validate all
python scripts/validate_architecture.py --verbose # With details
python scripts/validate_architecture.py --errors-only # Errors only
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
