Add Jupyter implementation status document

- Comprehensive status of real Jupyter backend implementation
- Architecture decisions documented (1:1 mapping)
- Completed features and remaining TODOs
- Test status and known issues
- Next steps prioritized
- Architecture diagrams and communication flow
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Hans Aschauer 2026-02-07 08:09:07 +01:00
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# Jupyter Backend Implementation Status
## Branch
`feature/real-jupyter-backend`
## Architecture Decision
**Decision**: 1:1 mapping - one container per session, one kernel per container
**Rationale**:
- Strongest isolation (processes, namespaces, resources)
- Easier debugging and resource tracking
- Clean lifecycle management
- Optional shared volumes for file exchange between sessions
**Components**:
- `jupyter-client`: Runs on host (MCP-Forge server)
- `ipykernel`: Runs in containers
- Communication: ZMQ protocol via Jupyter message protocol
## Implementation Progress
### ✅ Completed
1. **Core Architecture** ([kernel.py](../src/mcp_forge/execution/jupyter/kernel.py))
- Replaced mock exec() implementation with real Jupyter protocol
- `JupyterKernelManager` class with proper ZMQ communication
- `KernelInfo` dataclass with connection info and client
- Connection file generation
- Jupyter message protocol for code execution (execute_request, stream, execute_result)
2. **Kernel Lifecycle**
- `start_kernel()`: Container creation, kernel startup, client connection
- `shutdown_kernel()`: Graceful shutdown, container cleanup, connection file removal
- `restart_kernel()`: Stub implementation (needs KernelManager integration)
3. **Code Execution**
- `execute_code()`: Proper message protocol execution
- Output collection (stdout, stderr, result)
- Error handling with traceback capture
- Activity timestamp tracking
4. **Namespace Introspection**
- `inspect_namespace()`: List variables via introspection code
- `get_variable_info()`: Type, size, shape, repr extraction
5. **Resource Management**
- `cleanup_idle_kernels()`: Time-based cleanup
- Activity timestamp updates
6. **Dependencies**
- `jupyter-client>=8.8.0` added to server dependencies
- `ipykernel` removed from server (will be in container image)
- `pyzmq>=27.1.0` for ZMQ support
7. **Documentation**
- [architecture1.md](../docs/architecture1.md) updated with Jupyter Backend section
- [todo.md](../docs/todo.md) Phase 2.2.1 updated with architecture details
- Architecture flow diagram and session mapping explanation
### 🚧 In Progress / TODO
1. **Container Configuration**
- [ ] Port mappings for ZMQ sockets (shell, iopub, stdin, control, hb)
- [ ] Mount connection file into container at `/tmp/kernel-{id}.json`
- [ ] Proper network configuration for host-container ZMQ communication
2. **Kernel Readiness**
- [ ] Replace `time.sleep(2)` with proper readiness check
- [ ] Poll kernel status messages
- [ ] Implement retry logic with timeout
3. **Restart Implementation**
- [ ] Use `KernelManager` instead of just `BlockingKernelClient`
- [ ] Proper restart via `KernelManager.restart_kernel()`
- [ ] Handle restart failures gracefully
4. **Container Image**
- [ ] Add `ipykernel` to `mcp-forge/jupyter:latest` image
- [ ] Configure kernel to accept ZMQ connections
- [ ] Test kernel startup in isolation
5. **Testing**
- [ ] Update tests in `tests/execution/jupyter/test_kernel.py`
- [ ] Mock ZMQ connection and Jupyter messages
- [ ] Mock container manager for unit tests
- [ ] Integration tests with real containers
- [ ] Test port conflict handling
- [ ] Test connection file cleanup
6. **Error Handling**
- [ ] Port conflict resolution
- [ ] Kernel crash detection and recovery
- [ ] Connection timeout handling
- [ ] Invalid connection file handling
7. **Performance**
- [ ] Connection pooling/reuse consideration
- [ ] Batch message processing
- [ ] Async execution option
## Test Status
Current test results: **20 failed, 2 passed**
**Failure Reason**: Tests attempt to start real Jupyter kernels, but implementation is missing:
- Port mappings for ZMQ
- Connection file mounting
- Proper readiness check
**Required Actions**:
1. Complete container configuration (ports, volumes)
2. Update container image to include ipykernel
3. Mock ZMQ connections in unit tests
4. Create integration test suite with real containers
## Known Issues
1. **Port Assignment**: Currently using `port: 0` (let ZMQ assign), but need to:
- Get assigned ports after socket binding
- Map container ports to host ports
- Update connection info with actual ports
2. **Connection File**: Generated on host, but needs to be:
- Mounted into container at known path
- Have correct host-accessible addresses
3. **Network Mode**: Need to determine:
- Host network mode (simpler, less isolated)
- Bridge network with port mapping (more isolated, more complex)
4. **Restart Logic**: `restart_kernel()` only updates timestamp:
- Need KernelManager integration
- Or implement shutdown + start approach
## Next Steps
1. **Immediate** (Core functionality):
```
1. Implement port mapping in ContainerConfig
2. Mount connection file into container
3. Test kernel startup with real container
```
2. **Short-term** (Stability):
```
4. Implement proper readiness check
5. Update container image with ipykernel
6. Mock tests for unit testing
```
3. **Medium-term** (Production-ready):
```
7. Implement restart via KernelManager
8. Integration test suite
9. Error handling improvements
10. Performance testing
```
## Architecture Diagrams
### Communication Flow
```
┌─────────────────────┐
│ MCP-Forge Server │
│ (Host Process) │
│ │
│ ┌─────────────────┐ │
│ │ jupyter-client │ │
│ │ │ │
│ │ BlockingKernel │ │
│ │ Client │ │
│ └────────┬────────┘ │
│ │ │
│ │ ZMQ │
│ │ (shell, │
│ │ iopub, │
│ │ stdin, │
│ │ control,│
│ │ hb) │
└──────────┼──────────┘
│ TCP ports
│ (mapped)
┌──────────┼──────────┐
│ Container│ │
│ ▼ │
│ ┌─────────────────┐ │
│ │ ipykernel │ │
│ │ │ │
│ │ Python REPL │ │
│ │ + ZMQ Server │ │
│ └─────────────────┘ │
│ │
│ Connection file: │
│ /tmp/kernel-X.json │
└─────────────────────┘
```
### Session-to-Kernel Mapping
```
Session A ──> Container A ──> Kernel A ──> Namespace A
Session B ──> Container B ──> Kernel B ──> Namespace B
Session C ──> Container C ──> Kernel C ──> Namespace C
Optional: Shared volume for file exchange
Container A ──┐
├──> /shared/session-group-1
Container B ──┘
Container C ──> /shared/session-group-2 (independent)
```
## References
- [Jupyter Client Documentation](https://jupyter-client.readthedocs.io/)
- [Jupyter Message Protocol](https://jupyter-client.readthedocs.io/en/stable/messaging.html)
- [ZMQ Guide](https://zeromq.org/socket-api/)
- [IPykernel Documentation](https://ipykernel.readthedocs.io/)
## Commit History
- `244a3e5` - Implement real Jupyter backend with jupyter-client
- Replaced mock exec() with real Jupyter protocol
- Added ZMQ communication
- Kernel lifecycle management
- Backed up old implementation
## Old Implementation
The previous mock implementation using `exec()` is preserved in:
- `src/mcp_forge/execution/jupyter/kernel_old.py`
This can be used for reference or comparison.