mcp-forge/docs/JUPYTER_IMPLEMENTATION_STATUS.md
Hans Aschauer ed58c6ad5a 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
2026-02-07 08:09:07 +01:00

7.6 KiB

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)

    • 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 updated with Jupyter Backend section
    • 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

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.