Implement comprehensive schedule management service for automated scans:
New Files:
- web/services/schedule_service.py (470 lines)
* Complete CRUD operations for schedules
* Cron expression validation using croniter
* Next run time calculation
* Execution history tracking
* Human-readable relative time formatting
- tests/test_schedule_service.py (671 lines, 40+ tests)
* Create/get/list/update/delete schedule tests
* Cron validation and next run calculation tests
* Pagination and filtering tests
* Schedule history and serialization tests
Changes:
- requirements-web.txt: Add croniter==2.0.1 dependency
- docs/ai/PHASE3.md: Mark Step 1 complete, Step 2 next
Key Features:
- Validates cron expressions before saving
- Automatically calculates next execution time
- Preserves historical scans when schedules deleted
- Supports pagination and filtering by enabled status
- Provides relative time display (e.g., "in 2 hours")
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
