9.6 KiB
9.6 KiB
Backend Architecture
Overview
The Headquarter backend is built with FastAPI and follows a layered architecture pattern.
Architecture Diagram
┌─────────────────────────────────────────────────────────────┐
│ FastAPI App │
├─────────────────────────────────────────────────────────────┤
│ Middleware: CORS → Request Logging → Exception Logging │
├─────────────────────────────────────────────────────────────┤
│ API Layer (src/api/) │
│ ┌─────────┐ ┌─────────┐ ┌────────┐ ┌──────────┐ │
│ │ Auth │ │Terminal │ │Projects│ │ Git │ │
│ │ Routes │ │ WS │ │ Routes │ │ Repos │ │
│ └────┬────┘ └────┬────┘ └───┬────┘ └────┬─────┘ │
├───────┼───────────┼──────────┼───────────┼──────────────────┤
│ │ │ │ │ │
│ Auth │ Terminal │ Project │ Git │ │
│ Layer │ Manager │ Service │ Service │ │
│ │ + Session│ │ │ │
├───────┴───────────┴──────────┴───────────┴──────────────────┤
│ Data Layer │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Models │ │ Database │ │ Config │ │
│ │(SQLAlch) │ │(AsyncPG) │ │(Pydantic)│ │
│ └──────────┘ └──────────┘ └──────────┘ │
└─────────────────────────────────────────────────────────────┘
Directory Structure
src/
├── api/ # API Routes
│ ├── auth.py # Authentication endpoints
│ ├── terminal.py # WebSocket terminal endpoint
│ ├── projects.py # Project endpoints
│ ├── git_repositories.py # Repository endpoints
│ ├── users.py # User endpoints
│ ├── tool_types.py # Tool type endpoints
│ ├── ssh_keys.py # SSH key endpoints
│ └── dashboard.py # Dashboard endpoints
├── auth/ # Authentication
│ ├── session.py # Session management
│ ├── oidc.py # OAuth2 client
│ ├── dependencies.py # Auth dependencies
│ └── cookies.py # Cookie utilities
├── models/ # Database Models
│ ├── user.py # User model
│ ├── project.py # Project model
│ ├── git_repository.py # Repository model
│ ├── tool_type.py # Tool type model
│ ├── ssh_key.py # SSH key model
│ └── user_config.py # User config model
├── services/ # Business Logic
│ ├── terminal_manager.py # Terminal session manager
│ ├── terminal_session.py # PTY + docker exec session
│ ├── docker.py # Docker operations
│ └── profile_resolver.py # Profile resolution
├── utils/ # Utilities
│ ├── git_url_parser.py # URL parsing
│ ├── git_files.py # Git file operations
│ └── git_history.py # Git history operations
├── config.py # Configuration
├── database.py # Database setup
└── main.py # Application entry point
Terminal System
The terminal system provides interactive shell access to running tool instances via WebSocket.
Architecture
Client (WebSocket)
↕
terminal.py (FastAPI WS endpoint)
├─ Auth validation (session cookie)
├─ Instance ownership check
├─ Session lifecycle (create / monitor / cleanup)
└─ Echo state detection (termios)
↕
TerminalManager
├─ create_session() → spawns TerminalSession
├─ _read_loop() → batches PTY output → WebSocket
├─ _write_loop() → WebSocket input → PTY
└─ _heartbeat_loop() → closes idle connections (60s)
↕
TerminalSession
├─ start() → pty.openpty() + docker exec
├─ read_output() → select.select() + os.read()
├─ write_input() → os.write() to PTY master
├─ resize() → TIOCSWINSZ ioctl
└─ check_echo_state() → termios.ECHO flag
Protocol
Binary frames: Raw terminal I/O (hot path) Text (JSON) frames: Control messages
Control messages:
| Direction | Type | Purpose |
|---|---|---|
| Client → Server | ping |
Heartbeat (every 15s idle) |
| Server → Client | pong |
Heartbeat response |
| Client → Server | resize |
Terminal dimensions changed |
| Server → Client | set_echo_state |
Enable/disable local echo |
| Server → Client | session_ended |
Container process exited |
Message Batching
The read loop batches small PTY reads into single WebSocket frames:
- Buffer accumulates data for up to 16ms
- Flushed immediately when no new data is available
- Reduces WebSocket frame overhead for rapid output
Reconnect Behavior
The server cannot resume a docker exec PTY across connections. On reconnect:
- Old session is terminated
- New
docker execis spawned - Client restores scrollback from
sessionStorage - New shell appears seamlessly to the user
Layers
1. API Layer (src/api/)
Responsibilities:
- Define HTTP endpoints
- Parse request parameters
- Return HTTP responses
- Use dependencies for auth and DB
Pattern:
@router.get("/projects")
async def list_projects(
session: AsyncSession = Depends(get_db_session),
user_id: str = Depends(get_current_user_id),
):
# Call service layer
projects = await project_service.list(session, user_id)
return projects
2. Auth Layer (src/auth/)
Responsibilities:
- Session management (create, verify, expire)
- OAuth2 flow (login, callback)
- User authentication dependencies
Key Components:
session.py: HMAC-SHA256 signed cookiesoidc.py: OAuth2 token exchangedependencies.py: FastAPI dependencies for auth
3. Data Layer (src/models/, src/database.py)
Responsibilities:
- Database schema definition
- Async database sessions
- Connection management
Technology:
- SQLAlchemy 2.0 with async support
- asyncpg driver for PostgreSQL
- Alembic for migrations
4. Utility Layer (src/utils/)
Responsibilities:
- Git operations (file browsing, history)
- URL parsing
- Helper functions
Data Flow
Request Lifecycle
1. Request arrives at FastAPI
2. Middleware processes (CORS, logging)
3. Auth dependency verifies session
4. Route handler processes request
5. Database session executes queries
6. Response returned to client
Authentication Flow
1. User clicks login
2. Backend redirects to Authentik
3. User authenticates
4. Authentik redirects with code
5. Backend exchanges code for token
6. Backend fetches user info
7. Backend creates session cookie
8. User is authenticated
Dependencies
Database Session
async def get_db_session() -> AsyncGenerator[AsyncSession, None]:
async with SessionLocal() as session:
yield session
Current User
async def get_current_user_id(
request: Request,
settings: Settings = Depends(get_settings),
) -> str:
# Verify session cookie
# Return user_id
Configuration
Configuration is managed via Pydantic Settings:
class Settings(BaseSettings):
app_env: str = "development"
database_url: str = "..."
authentik_domain: str = "..."
# ...
Environment variables are automatically loaded from .env files.
Error Handling
Errors are handled at multiple levels:
- Validation: Pydantic validates request bodies
- HTTP Exceptions: FastAPI HTTPException for client errors
- Middleware: ExceptionLoggingMiddleware logs server errors
- Database: SQLAlchemy errors converted to HTTP responses
Testing
- Unit tests: SQLite in-memory database
- Integration tests: PostgreSQL with transaction rollback
- Fixtures: Shared in
conftest.py
Technology Stack
| Component | Technology | Version |
|---|---|---|
| Web Framework | FastAPI | ^0.104 |
| ORM | SQLAlchemy | ^2.0 |
| Database Driver | asyncpg | ^0.29 |
| Validation | Pydantic | ^2.0 |
| Migrations | Alembic | ^1.12 |
| HTTP Client | httpx | ^0.25 |
| Testing | pytest | ^7.4 |