Implemented all 5 scan management endpoints with comprehensive error
handling, logging, and integration tests.
## Changes
### API Endpoints (web/api/scans.py)
- POST /api/scans - Trigger new scan with config file validation
- GET /api/scans - List scans with pagination and status filtering
- GET /api/scans/<id> - Retrieve scan details with all relationships
- DELETE /api/scans/<id> - Delete scan and associated files
- GET /api/scans/<id>/status - Poll scan status for long-running scans
### Features
- Comprehensive error handling (400, 404, 500)
- Structured logging with appropriate levels
- Input validation via validators
- Consistent JSON error format
- SQLAlchemy error handling with graceful degradation
- HTTP status codes following REST conventions
### Testing (tests/test_scan_api.py)
- 24 integration tests covering all endpoints
- Empty/populated scan lists
- Pagination with multiple pages
- Status filtering
- Error scenarios (invalid input, not found, etc.)
- Complete workflow integration test
### Test Infrastructure (tests/conftest.py)
- Flask app fixture with test database
- Flask test client fixture
- Database session fixture compatible with app context
- Sample scan fixture for testing
### Documentation (docs/ai/PHASE2.md)
- Updated progress: 4/14 days complete (29%)
- Marked Step 2 as complete
- Added implementation details and testing results
## Implementation Notes
- All endpoints use ScanService for business logic separation
- Scan triggering returns immediately; client polls status endpoint
- Background job execution will be added in Step 3
- Authentication will be added in Step 4
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Complete the foundation for Phase 2 by implementing the service layer,
utilities, and comprehensive test suite. This establishes the core
business logic for scan management.
Service Layer:
- Add ScanService class with complete scan lifecycle management
* trigger_scan() - Create scan record and prepare for execution
* get_scan() - Retrieve scan with all related data (eager loading)
* list_scans() - Paginated scan list with status filtering
* delete_scan() - Remove scan from DB and delete all files
* get_scan_status() - Poll current scan status and progress
* _save_scan_to_db() - Persist scan results to database
* _map_report_to_models() - Complex JSON-to-DB mapping logic
Database Mapping:
- Comprehensive mapping from scanner JSON output to normalized schema
- Handles nested relationships: sites → IPs → ports → services → certs → TLS
- Processes both TCP and UDP ports with expected/actual tracking
- Maps service detection results with HTTP/HTTPS information
- Stores SSL/TLS certificates with expiration tracking
- Records TLS version support and cipher suites
- Links screenshots to services
Utilities:
- Add pagination.py with PaginatedResult class
* paginate() function for SQLAlchemy queries
* validate_page_params() for input sanitization
* Metadata: total, pages, has_prev, has_next, etc.
- Add validators.py with comprehensive validation functions
* validate_config_file() - YAML structure and required fields
* validate_scan_status() - Enum validation (running/completed/failed)
* validate_scan_id() - Positive integer validation
* validate_port() - Port range validation (1-65535)
* validate_ip_address() - Basic IPv4 format validation
* sanitize_filename() - Path traversal prevention
Database Migration:
- Add migration 002 for scan status index
- Optimizes queries filtering by scan status
- Timestamp index already exists from migration 001
Testing:
- Add pytest infrastructure with conftest.py
* test_db fixture - Temporary SQLite database per test
* sample_scan_report fixture - Realistic scanner output
* sample_config_file fixture - Valid YAML config
* sample_invalid_config_file fixture - For validation tests
- Add comprehensive test_scan_service.py (15 tests)
* Test scan trigger with valid/invalid configs
* Test scan retrieval (found/not found cases)
* Test scan listing with pagination and filtering
* Test scan deletion with cascade cleanup
* Test scan status retrieval
* Test database mapping from JSON to models
* Test expected vs actual port flagging
* Test certificate and TLS data mapping
* Test full scan retrieval with all relationships
* All tests passing
Files Added:
- web/services/__init__.py
- web/services/scan_service.py (545 lines)
- web/utils/pagination.py (153 lines)
- web/utils/validators.py (245 lines)
- migrations/versions/002_add_scan_indexes.py
- tests/__init__.py
- tests/conftest.py (142 lines)
- tests/test_scan_service.py (374 lines)
Next Steps (Step 2):
- Implement scan API endpoints in web/api/scans.py
- Add authentication decorators
- Integrate ScanService with API routes
- Test API endpoints with integration tests
Phase 2 Step 1 Complete ✓
Implement complete database schema and Flask application structure for
SneakyScan web interface. This establishes the foundation for web-based
scan management, scheduling, and visualization.
Database & ORM:
- Add 11 SQLAlchemy models for comprehensive scan data storage
(Scan, ScanSite, ScanIP, ScanPort, ScanService, ScanCertificate,
ScanTLSVersion, Schedule, Alert, AlertRule, Setting)
- Configure Alembic migrations system with initial schema migration
- Add init_db.py script for database initialization and password setup
- Support both migration-based and direct table creation
Settings System:
- Implement SettingsManager with automatic encryption for sensitive values
- Add Fernet encryption for SMTP passwords and API tokens
- Implement PasswordManager with bcrypt password hashing (work factor 12)
- Initialize default settings for SMTP, authentication, and retention
Flask Application:
- Create Flask app factory pattern with scoped session management
- Add 4 API blueprints: scans, schedules, alerts, settings
- Implement functional Settings API (GET/PUT/DELETE endpoints)
- Add CORS support, error handlers, and request/response logging
- Configure development and production logging to file and console
Docker & Deployment:
- Update Dockerfile to install Flask dependencies
- Add docker-compose-web.yml for web application deployment
- Configure volume mounts for database, output, and logs persistence
- Expose port 5000 for Flask web server
Testing & Validation:
- Add validate_phase1.py script to verify all deliverables
- Validate directory structure, Python syntax, models, and endpoints
- All validation checks passing
Documentation:
- Add PHASE1_COMPLETE.md with comprehensive Phase 1 summary
- Update ROADMAP.md with Phase 1 completion status
- Update .gitignore to exclude database files and documentation
Files changed: 21 files
- New: web/ directory with complete Flask app structure
- New: migrations/ with Alembic configuration
- New: requirements-web.txt with Flask dependencies
- Modified: Dockerfile, ROADMAP.md, .gitignore
