Files
geutebruck-api/specs/001-surveillance-api/plan.md
Geutebruck API Developer dd2278b39a Complete Phase 0 and Phase 1 design documentation
- Add comprehensive research.md with SDK integration decisions
- Add complete data-model.md with 7 entities and relationships
- Add OpenAPI 3.0 specification (contracts/openapi.yaml)
- Add developer quickstart.md guide
- Add comprehensive tasks.md with 215 tasks organized by user story
- Update plan.md with complete technical context
- Add SDK_INTEGRATION_LESSONS.md capturing critical knowledge
- Add .gitignore for Python and C# projects
- Include GeViScopeConfigReader and GeViSoftConfigReader tools

Phase 1 Design Complete:
 Architecture: Python FastAPI + C# gRPC Bridge + GeViScope SDK
 10 user stories mapped to tasks (MVP = US1-4)
 Complete API contract with 17 endpoints
 Data model with User, Camera, Stream, Event, Recording, Analytics
 TDD approach enforced with 80+ test tasks

Ready for Phase 2: Implementation

🤖 Generated with Claude Code (https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-09 07:39:55 +01:00

404 lines
18 KiB
Markdown
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# Implementation Plan: Geutebruck Surveillance API
**Branch**: `001-surveillance-api` | **Date**: 2025-12-08 | **Spec**: [spec.md](./spec.md)
**Input**: Feature specification from `/specs/001-surveillance-api/spec.md`
## Summary
Build a production-ready REST API for Geutebruck GeViScope/GeViSoft video surveillance systems, enabling developers to integrate surveillance capabilities into custom applications without direct SDK complexity. The system uses a C# gRPC bridge to interface with the GeViScope SDK, exposing clean REST/WebSocket endpoints through Python FastAPI.
**Technical Approach**: Python FastAPI + C# gRPC SDK Bridge + GeViScope SDK → delivers <200ms API responses, supports 100+ concurrent video streams, and handles 1000+ WebSocket event subscribers.
## Technical Context
**Language/Version**: Python 3.11+, C# .NET Framework 4.8 (SDK bridge), C# .NET 8.0 (gRPC service)
**Primary Dependencies**:
- **Python**: FastAPI, Uvicorn, SQLAlchemy, Redis (aioredis), protobuf, grpcio, PyJWT, asyncio
- **C#**: GeViScope SDK (GeViProcAPINET_4_0.dll), Grpc.Core, Google.Protobuf
**Storage**: PostgreSQL 14+ (user management, session storage, audit logs), Redis 6.0+ (session cache, pub/sub for WebSocket events)
**Testing**: pytest (Python), xUnit (.NET), 80% minimum coverage, TDD enforced
**Target Platform**: Windows Server 2016+ (SDK bridge + GeViServer), Linux (FastAPI server - optional)
**Project Type**: Web (backend API + SDK bridge service)
**Performance Goals**:
- <200ms p95 for metadata queries (camera lists, status)
- <2s stream initialization
- <100ms event notification delivery
- 100+ concurrent video streams
- 1000+ concurrent WebSocket connections
**Constraints**:
- SDK requires Windows x86 (32-bit) runtime
- Visual C++ 2010 Redistributable (x86) mandatory
- Full GeViSoft installation required (not just SDK)
- GeViServer must be running on network-accessible host
- All SDK operations must use Channel-based architecture
**Scale/Scope**:
- Support 50+ cameras per installation
- Handle 10k+ events/hour during peak activity
- Store 90 days audit logs (configurable)
- Support 100+ concurrent operators
## Constitution Check
*GATE: Must pass before Phase 0 research. Re-check after Phase 1 design.*
### Constitution Alignment
**Single Source of Truth**: OpenAPI spec serves as the contract, auto-generated from code
**Test-First Development**: TDD enforced with pytest/xUnit, 80% minimum coverage
**Simplicity**: REST over custom protocols, JWT over session cookies, direct stream URLs over proxying
**Clear Abstractions**: SDK Bridge isolates SDK complexity from Python API layer
**Error Handling**: SDK errors translated to HTTP status codes with user-friendly messages
**Documentation**: Auto-generated OpenAPI docs at `/docs`, quickstart guide provided
**Security First**: JWT authentication, RBAC, rate limiting, audit logging, TLS enforcement
### Exceptions to Constitution
None. All design decisions align with constitution principles.
## Project Structure
### Documentation (this feature)
```text
specs/001-surveillance-api/
├── plan.md # This file (implementation plan)
├── spec.md # Feature specification (user stories, requirements)
├── research.md # Phase 0 output (technical research, architectural decisions)
├── data-model.md # Phase 1 output (entity schemas, relationships, validation)
├── quickstart.md # Phase 1 output (developer quick start guide)
├── contracts/ # Phase 1 output (API contracts)
│ └── openapi.yaml # Complete OpenAPI 3.0 specification
└── tasks.md # Phase 2 output (will be generated by /speckit.tasks)
```
### Source Code (repository root)
```text
geutebruck-api/
├── src/
│ ├── api/ # Python FastAPI application
│ │ ├── main.py # FastAPI app entry point
│ │ ├── config.py # Configuration management (env vars)
│ │ ├── models/ # SQLAlchemy ORM models
│ │ │ ├── user.py
│ │ │ ├── camera.py
│ │ │ ├── event.py
│ │ │ └── audit_log.py
│ │ ├── schemas/ # Pydantic request/response models
│ │ │ ├── auth.py
│ │ │ ├── camera.py
│ │ │ ├── stream.py
│ │ │ ├── event.py
│ │ │ └── recording.py
│ │ ├── routers/ # FastAPI route handlers
│ │ │ ├── auth.py # /api/v1/auth/*
│ │ │ ├── cameras.py # /api/v1/cameras/*
│ │ │ ├── events.py # /api/v1/events/*
│ │ │ ├── recordings.py # /api/v1/recordings/*
│ │ │ ├── analytics.py # /api/v1/analytics/*
│ │ │ └── system.py # /api/v1/health, /status
│ │ ├── services/ # Business logic layer
│ │ │ ├── auth_service.py
│ │ │ ├── camera_service.py
│ │ │ ├── stream_service.py
│ │ │ ├── event_service.py
│ │ │ └── recording_service.py
│ │ ├── clients/ # External service clients
│ │ │ ├── sdk_bridge_client.py # gRPC client for SDK bridge
│ │ │ └── redis_client.py # Redis connection pooling
│ │ ├── middleware/ # FastAPI middleware
│ │ │ ├── auth_middleware.py
│ │ │ ├── rate_limiter.py
│ │ │ └── error_handler.py
│ │ ├── websocket/ # WebSocket event streaming
│ │ │ ├── connection_manager.py
│ │ │ └── event_broadcaster.py
│ │ ├── utils/ # Utility functions
│ │ │ ├── jwt_utils.py
│ │ │ └── error_translation.py
│ │ └── migrations/ # Alembic database migrations
│ │ └── versions/
│ │
│ └── sdk-bridge/ # C# gRPC service (SDK wrapper)
│ ├── GeViScopeBridge.sln
│ ├── GeViScopeBridge/
│ │ ├── Program.cs # gRPC server entry point
│ │ ├── Services/
│ │ │ ├── CameraService.cs # Camera operations
│ │ │ ├── StreamService.cs # Stream management
│ │ │ ├── EventService.cs # Event subscriptions
│ │ │ ├── RecordingService.cs # Recording management
│ │ │ └── AnalyticsService.cs # Analytics configuration
│ │ ├── SDK/
│ │ │ ├── GeViDatabaseWrapper.cs
│ │ │ ├── StateQueryHandler.cs
│ │ │ ├── DatabaseQueryHandler.cs
│ │ │ └── ActionDispatcher.cs
│ │ ├── Models/ # Internal data models
│ │ └── Utils/
│ └── Protos/ # gRPC protocol definitions
│ ├── camera.proto
│ ├── stream.proto
│ ├── event.proto
│ ├── recording.proto
│ └── analytics.proto
├── tests/
│ ├── api/
│ │ ├── unit/ # Unit tests for Python services
│ │ │ ├── test_auth_service.py
│ │ │ ├── test_camera_service.py
│ │ │ └── test_event_service.py
│ │ ├── integration/ # Integration tests with SDK bridge
│ │ │ ├── test_camera_operations.py
│ │ │ ├── test_stream_lifecycle.py
│ │ │ └── test_event_notifications.py
│ │ └── contract/ # OpenAPI contract validation
│ │ └── test_openapi_compliance.py
│ │
│ └── sdk-bridge/
│ ├── Unit/ # C# unit tests
│ │ ├── CameraServiceTests.cs
│ │ └── StateQueryTests.cs
│ └── Integration/ # Tests with actual SDK
│ └── SdkIntegrationTests.cs
├── docs/
│ ├── architecture.md # System architecture diagram
│ ├── sdk-integration.md # SDK integration patterns
│ └── deployment.md # Production deployment guide
├── scripts/
│ ├── setup_dev_environment.ps1 # Development environment setup
│ ├── start_services.ps1 # Start all services (Redis, SDK Bridge, API)
│ └── run_tests.sh # Test execution script
├── .env.example # Environment variable template
├── requirements.txt # Python dependencies
├── pyproject.toml # Python project configuration
├── alembic.ini # Database migration configuration
└── README.md # Project overview
```
**Structure Decision**: Web application structure selected (backend API + SDK bridge service) because:
1. SDK requires Windows runtime isolated C# bridge service
2. API layer can run on Linux flexibility for deployment
3. Clear separation between SDK complexity and API logic
4. gRPC provides high-performance, typed communication between layers
5. Python layer handles web concerns (HTTP, WebSocket, auth, validation)
## Phase 0 - Research ✅ COMPLETED
**Deliverable**: [research.md](./research.md)
**Key Decisions**:
1. **SDK Integration Method**: C# gRPC bridge service (not pythonnet, subprocess, or COM)
- Rationale: Isolates SDK crashes, maintains type safety, enables independent scaling
2. **Stream Architecture**: Direct RTSP URLs with token authentication (not API proxy)
- Rationale: Reduces API latency, leverages existing streaming infrastructure
3. **Event Distribution**: FastAPI WebSocket + Redis Pub/Sub
- Rationale: Supports 1000+ concurrent connections, horizontal scaling capability
4. **Authentication**: JWT with Redis session storage
- Rationale: Stateless validation, flexible permissions, Redis for quick invalidation
5. **Performance Strategy**: Async Python + gRPC connection pooling
- Rationale: Non-blocking I/O for concurrent operations, <200ms response targets
**Critical Discoveries**:
- Visual C++ 2010 Redistributable (x86) mandatory for SDK DLL loading
- Full GeViSoft installation required (not just SDK)
- Windows Forms context needed for mixed-mode C++/CLI assemblies
- GeViServer ports: 7700, 7701, 7703 (NOT 7707 as initially assumed)
- SDK connection pattern: Create RegisterCallback Connect (order matters!)
- State Queries use GetFirst/GetNext iteration for enumerating entities
See [SDK_INTEGRATION_LESSONS.md](../../SDK_INTEGRATION_LESSONS.md) for complete details.
## Phase 1 - Design ✅ COMPLETED
**Deliverables**:
- [data-model.md](./data-model.md) - Entity schemas, relationships, validation rules
- [contracts/openapi.yaml](./contracts/openapi.yaml) - Complete REST API specification
- [quickstart.md](./quickstart.md) - Developer quick start guide
**Key Components**:
### Data Model
- **User**: Authentication, RBAC (viewer/operator/administrator), permissions
- **Camera**: Channel-based, capabilities (PTZ, analytics), status tracking
- **Stream**: Active sessions with token-authenticated URLs
- **Event**: Surveillance occurrences (motion, alarms, analytics)
- **Recording**: Video segments with ring buffer management
- **AnalyticsConfig**: VMD, NPR, OBTRACK configuration per camera
### API Endpoints (RESTful)
- `POST /api/v1/auth/login` - Authenticate and get JWT tokens
- `POST /api/v1/auth/refresh` - Refresh access token
- `POST /api/v1/auth/logout` - Invalidate tokens
- `GET /api/v1/cameras` - List cameras with filtering
- `GET /api/v1/cameras/{id}` - Get camera details
- `POST /api/v1/cameras/{id}/stream` - Start video stream
- `DELETE /api/v1/cameras/{id}/stream/{stream_id}` - Stop stream
- `POST /api/v1/cameras/{id}/ptz` - PTZ control commands
- `WS /api/v1/events/stream` - WebSocket event notifications
- `GET /api/v1/events` - Query event history
- `GET /api/v1/recordings` - Query recordings
- `POST /api/v1/recordings/{id}/export` - Export video segment
- `GET /api/v1/analytics/{camera_id}` - Get analytics configuration
- `POST /api/v1/analytics/{camera_id}` - Configure analytics
- `GET /api/v1/health` - System health check
- `GET /api/v1/status` - Detailed system status
### gRPC Service Definitions
- **CameraService**: ListCameras, GetCameraDetails, GetCameraStatus
- **StreamService**: StartStream, StopStream, GetStreamStatus
- **PTZService**: MoveCamera, SetPreset, GotoPreset
- **EventService**: SubscribeEvents, UnsubscribeEvents (server streaming)
- **RecordingService**: QueryRecordings, StartRecording, StopRecording
- **AnalyticsService**: ConfigureAnalytics, GetAnalyticsConfig
## Phase 2 - Tasks ⏭️ NEXT
**Command**: `/speckit.tasks`
Will generate:
- Task breakdown with dependencies
- Implementation order (TDD-first)
- Test plan for each task
- Acceptance criteria per task
- Time estimates
**Expected Task Categories**:
1. **Infrastructure Setup**: Repository structure, development environment, CI/CD
2. **SDK Bridge Foundation**: gRPC server, SDK wrapper, basic camera queries
3. **API Foundation**: FastAPI app, authentication, middleware
4. **Core Features**: Camera management, stream lifecycle, event notifications
5. **Extended Features**: Recording management, analytics configuration
6. **Testing & Documentation**: Contract tests, integration tests, deployment docs
## Phase 3 - Implementation ⏭️ FUTURE
**Command**: `/speckit.implement`
Will execute TDD implementation:
- Red: Write failing test
- Green: Minimal code to pass test
- Refactor: Clean up while maintaining passing tests
- Repeat for each task
## Complexity Tracking
No constitution violations. All design decisions follow simplicity and clarity principles:
- REST over custom protocols
- JWT over session management
- Direct streaming over proxying
- Clear layer separation (API Bridge SDK)
- Standard patterns (FastAPI, gRPC, SQLAlchemy)
## Technology Stack Summary
### Python API Layer
- **Web Framework**: FastAPI 0.104+
- **ASGI Server**: Uvicorn with uvloop
- **ORM**: SQLAlchemy 2.0+
- **Database**: PostgreSQL 14+
- **Cache/PubSub**: Redis 6.0+ (aioredis)
- **Authentication**: PyJWT, passlib (bcrypt)
- **gRPC Client**: grpcio, protobuf
- **Validation**: Pydantic v2
- **Testing**: pytest, pytest-asyncio, httpx
- **Code Quality**: ruff (linting), black (formatting), mypy (type checking)
### C# SDK Bridge
- **Framework**: .NET Framework 4.8 (SDK runtime), .NET 8.0 (gRPC service)
- **gRPC**: Grpc.Core, Grpc.Tools
- **SDK**: GeViScope SDK 7.9.975.68+ (GeViProcAPINET_4_0.dll)
- **Testing**: xUnit, Moq
- **Logging**: Serilog
### Infrastructure
- **Database**: PostgreSQL 14+ (user data, audit logs)
- **Cache**: Redis 6.0+ (sessions, pub/sub)
- **Deployment**: Docker (API layer), Windows Service (SDK bridge)
- **CI/CD**: GitHub Actions
- **Monitoring**: Prometheus metrics, Grafana dashboards
## Commands Reference
### Development
```bash
# Setup environment
.\scripts\setup_dev_environment.ps1
# Start all services
.\scripts\start_services.ps1
# Run API server (development)
cd src/api
uvicorn main:app --reload --host 0.0.0.0 --port 8000
# Run SDK bridge (development)
cd src/sdk-bridge
dotnet run --configuration Debug
# Run tests
pytest tests/api -v --cov=src/api --cov-report=html # Python
dotnet test tests/sdk-bridge/ # C#
# Format code
ruff check src/api --fix # Python linting
black src/api # Python formatting
# Database migrations
alembic upgrade head # Apply migrations
alembic revision --autogenerate -m "description" # Create migration
```
### API Usage
```bash
# Authenticate
curl -X POST http://localhost:8000/api/v1/auth/login \
-H "Content-Type: application/json" \
-d '{"username": "sysadmin", "password": "masterkey"}'
# List cameras
curl -X GET http://localhost:8000/api/v1/cameras \
-H "Authorization: Bearer YOUR_TOKEN"
# Start stream
curl -X POST http://localhost:8000/api/v1/cameras/{id}/stream \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"resolution": {"width": 1920, "height": 1080, "fps": 30}, "format": "h264"}'
# WebSocket events (Python)
import websockets
uri = f"ws://localhost:8000/api/v1/events/stream?token={TOKEN}"
async with websockets.connect(uri) as ws:
await ws.send('{"action": "subscribe", "filters": {"event_types": ["motion_detected"]}}')
while True:
event = await ws.recv()
print(event)
```
## Next Steps
1. **Run `/speckit.tasks`** to generate Phase 2 task breakdown
2. **Review tasks** for sequencing and dependencies
3. **Execute `/speckit.implement`** to begin TDD implementation
4. **Iterate** through tasks following Red-Green-Refactor cycle
## References
- **Specification**: [spec.md](./spec.md) - User stories, requirements, success criteria
- **Research**: [research.md](./research.md) - Technical decisions and architectural analysis
- **Data Model**: [data-model.md](./data-model.md) - Entity schemas and relationships
- **API Contract**: [contracts/openapi.yaml](./contracts/openapi.yaml) - Complete REST API spec
- **Quick Start**: [quickstart.md](./quickstart.md) - Developer onboarding guide
- **SDK Lessons**: [../../SDK_INTEGRATION_LESSONS.md](../../SDK_INTEGRATION_LESSONS.md) - Critical SDK integration knowledge
- **Constitution**: [../../.specify/memory/constitution.md](../../.specify/memory/constitution.md) - Development principles
---
**Plan Status**: Phase 0 | Phase 1 | Phase 2 | Phase 3
**Last Updated**: 2025-12-08