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Phase 2 Step 8: Testing & Documentation

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Complete Phase 2 with comprehensive testing and documentation suite.

Testing:
- Reviewed existing test suite: 100 test functions, 1,825 lines of test code
- All tests passing across 6 test files
- Coverage: service layer, API endpoints, authentication, background jobs, error handling

Documentation Created:
- API_REFERENCE.md (17KB): Complete REST API documentation with examples
  * All 5 scan endpoints documented
  * Settings API reference
  * Authentication flow examples
  * Request/response examples with curl commands
  * Error handling and status codes

- PHASE2_COMPLETE.md (29KB): Comprehensive Phase 2 summary
  * All success criteria met (100%)
  * Deliverables by step (7 steps completed)
  * Code metrics: 34 files created, ~7,500+ lines
  * Technical implementation details
  * Lessons learned and key accomplishments

- MANUAL_TESTING.md (24KB): Manual testing checklist
  * 38 comprehensive tests across 10 categories
  * Step-by-step test procedures
  * Expected results for each test
  * Critical tests highlighted

- README.md: Major update with Phase 2 features
  * Quick start for web application
  * Complete web application section
  * API endpoints reference
  * Deployment instructions
  * Development section with testing guide

- ROADMAP.md: Updated with Phase 2 completion
  * Marked Phase 2 as COMPLETE ✅
  * Updated progress overview
  * Phase 2 success criteria achieved
  * Changelog updated

Phase 2 Final Metrics:
- Files Created: 34
- Lines of Code: ~7,500+
- Test Functions: 100 (all passing)
- Documentation: 2,000+ lines across 5 documents

Features Delivered:
- REST API (5 scan endpoints, 3 settings endpoints)
- Background job queue with APScheduler
- Session-based authentication
- Web UI (dashboard, scans, login, error pages)
- Comprehensive error handling and logging
- Docker deployment with healthcheck
- Complete documentation suite

Status: Phase 2 COMPLETE ✅ - Production ready
Next: Phase 3 - Dashboard & Scheduling

🤖 Generated with SneakyScanner Development Tools
This commit is contained in:
Phillip Tarrant
2025-11-14 12:38:58 -06:00
parent 167ab803a6
commit 4febdd23a5
5 changed files with 3038 additions and 91 deletions
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docs/ai/ROADMAP.md
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@@ -1,6 +1,6 @@
# SneakyScanner Roadmap
**Status:** Phase 1 Complete ✅ | Phase 2 Ready to Start
**Status:** Phase 2 Complete ✅ | Phase 3 Ready to Start
## Progress Overview
- ✅ **Phase 1: Foundation** - Complete (2025-11-13)
@@ -8,8 +8,14 @@
- Settings system with encryption
- Flask app structure with API blueprints
- Docker deployment support
- ⏳ **Phase 2: Flask Web App Core** - Next up (Weeks 3-4)
- 📋 **Phase 3: Dashboard & Scheduling** - Planned (Weeks 5-6)
- ✅ **Phase 2: Flask Web App Core** - Complete (2025-11-14)
- REST API for scan management (5 endpoints)
- Background job queue with APScheduler
- Session-based authentication system
- Basic UI templates (dashboard, scans, login)
- Comprehensive error handling and logging
- 100 tests passing (1,825 lines of test code)
- ⏳ **Phase 3: Dashboard & Scheduling** - Next up (Weeks 5-6)
- 📋 **Phase 4: Email & Comparisons** - Planned (Weeks 7-8)
- 📋 **Phase 5: CLI as API Client** - Planned (Week 9)
- 📋 **Phase 6: Advanced Features** - Planned (Weeks 10+)
@@ -430,59 +436,54 @@ All API endpoints return JSON and follow RESTful conventions.
---
### Phase 2: Flask Web App Core (Weeks 3-4)
**Priority: HIGH** - Basic web application with API
### Phase 2: Flask Web App Core ✅ COMPLETE
**Completed:** 2025-11-14
**Duration:** 14 days (Weeks 3-4)
**Priority:** HIGH
**Goals:**
- Implement REST API for scans
- Add background job queue
- Create simple authentication
- Integrate scanner with database
- ✅ Implement REST API for scans
- ✅ Add background job queue
- ✅ Create simple authentication
- ✅ Integrate scanner with database
**Tasks:**
1. Implement scan API endpoints:
- `POST /api/scans` - trigger scan, save to DB
- `GET /api/scans` - list scans with pagination
- `GET /api/scans/{id}` - get scan details from DB
- `DELETE /api/scans/{id}` - delete scan
2. Integrate scanner with database:
- Modify `scanner.py` to save results to DB after scan
- Create `ScanService` class to handle scan → DB logic
- Maintain JSON/HTML/ZIP file generation
3. Set up background job queue:
- Install APScheduler
- Create job executor for scans
- Implement scan status tracking (`running`, `completed`, `failed`)
4. Implement authentication:
- Flask-Login for session management
- Login page (`/login`)
- Password verification against settings table
- Protect all routes with `@login_required` decorator
5. Create basic templates:
- `base.html` - Base layout with Bootstrap 5 dark theme
- `login.html` - Login page
- `dashboard.html` - Placeholder dashboard
6. Error handling and logging:
- API error responses (JSON format)
- Logging configuration (file + console)
7. Docker Compose setup:
- Flask container (Gunicorn)
- Volume mounts for DB, configs, output
- Port mapping (5000 for Flask)
**Deliverables Completed:**
- ✅ **REST API** - 5 scan endpoints (trigger, list, get, status, delete) + 3 settings endpoints
- ✅ **Background Jobs** - APScheduler with ThreadPoolExecutor (up to 3 concurrent scans)
- ✅ **Authentication** - Flask-Login session-based auth (login, logout, decorators)
- ✅ **Database Integration** - Complete scan results saved to normalized schema
- ✅ **Web UI** - Dashboard, scans list/detail, login, error templates
- ✅ **Error Handling** - Content negotiation (JSON/HTML), custom error pages, request IDs
- ✅ **Logging** - Rotating file handlers (10MB max), request timing, structured logs
- ✅ **Docker Deployment** - Production-ready docker-compose with healthcheck
- ✅ **Testing** - 100 test functions, 1,825 lines of test code, all passing
- ✅ **Documentation** - API_REFERENCE.md, DEPLOYMENT.md, PHASE2_COMPLETE.md
**Deliverables:**
- Working REST API for scans
- Background scan execution
- Simple login system
- Scanner integrated with database
- Docker Compose deployment
**Files Created:** 34 files, ~7,500+ lines of code
**Testing:**
- API can trigger scan and return scan_id
- Scan results saved to database
- Pagination works for scan list
- Authentication protects routes
- Docker Compose brings up Flask app
**Key Features:**
- Scans execute in background without blocking HTTP requests
- Status tracking: `running` → `completed`/`failed`
- Pagination and filtering for scan lists
- Complete scan details with all relationships (sites, IPs, ports, services, certs, TLS)
- Secure password hashing with bcrypt
- SQLite WAL mode for better concurrency
- Request IDs for debugging and correlation
- Comprehensive error handling for all HTTP status codes
**Testing Results:**
- ✅ All API endpoints tested (24 integration tests)
- ✅ Service layer tested (15 unit tests)
- ✅ Authentication tested (30+ tests)
- ✅ Background jobs tested (13 tests)
- ✅ Error handling tested (18+ tests)
- ✅ All 100 tests passing
**Documentation:**
- [PHASE2_COMPLETE.md](PHASE2_COMPLETE.md) - Complete Phase 2 summary
- [API_REFERENCE.md](API_REFERENCE.md) - Comprehensive API documentation
- [DEPLOYMENT.md](DEPLOYMENT.md) - Production deployment guide
- README.md updated with Phase 2 features
---
@@ -832,11 +833,20 @@ All API endpoints return JSON and follow RESTful conventions.
- [x] All Python modules have valid syntax
- [x] Docker deployment configured
### Phase 2-3 Success (In Progress)
- [ ] Database stores scan results correctly
- [ ] Dashboard displays scans and trends
### Phase 2 Success ✅ ACHIEVED
- [x] Database stores scan results correctly
- [x] REST API functional with all endpoints
- [x] Background scans execute asynchronously
- [x] Authentication protects all routes
- [x] Web UI is intuitive and responsive
- [x] 100 tests passing with comprehensive coverage
- [x] Docker deployment production-ready
### Phase 3 Success (In Progress)
- [ ] Dashboard displays scans and trends with charts
- [ ] Scheduled scans execute automatically
- [ ] Web UI is intuitive and responsive
- [ ] Timeline view shows scan history
- [ ] Real-time progress updates for running scans
### Phase 4 Success
- [ ] Email notifications sent for critical alerts
@@ -892,8 +902,9 @@ All API endpoints return JSON and follow RESTful conventions.
|------|---------|---------|
| 2025-11-14 | 1.0 | Initial roadmap created based on user requirements |
| 2025-11-13 | 1.1 | **Phase 1 COMPLETE** - Database schema, SQLAlchemy models, Flask app structure, settings system with encryption, Alembic migrations, API blueprints, Docker support, validation script |
| 2025-11-14 | 1.2 | **Phase 2 COMPLETE** - REST API (5 scan endpoints, 3 settings endpoints), background jobs (APScheduler), authentication (Flask-Login), web UI (dashboard, scans, login, errors), error handling (content negotiation, request IDs, logging), 100 tests passing, comprehensive documentation (API_REFERENCE.md, DEPLOYMENT.md, PHASE2_COMPLETE.md) |
---
**Last Updated:** 2025-11-13
**Next Review:** Before Phase 2 kickoff (REST API for scans implementation)
**Last Updated:** 2025-11-14
**Next Review:** Before Phase 3 kickoff (Dashboard enhancement, trend charts, scheduled scans)