Closed project nodes don't have status info in topology JSON.
Add open_project_nodes and closed_project_nodes counts to
help clarify why by_status may be empty.
Open projects store Node/Link objects, but closed projects store
dictionaries loaded from topology JSON. This fix checks the type
before accessing attributes.
Return aggregated statistics:
- computes: per-compute CPU/memory/disk stats (existing)
- projects: total, opened, closed counts
- nodes: total count with breakdown by type and status
- links: total count with capturing count
Add error_handler utility to detect and format HTML error responses
from misconfigured API base URLs. When the API returns HTML (indicating
configuration issues), users now see a helpful message instead of raw
HTML content.
This change makes AI Copilot features optional to reduce installation
size and support restricted environments.
Changes:
- Split AI dependencies into ai-requirements.txt
- Add ai-copilot optional dependency in pyproject.toml
- Add import protection in gns3server/agent/__init__.py
- Return 501 for AI endpoints when dependencies not installed
- Add gns3server-uninstall-ai-copilot command for cleanup
- Update README with installation and uninstallation instructions
Installation:
- Basic: pip install gns3-server
- With AI: pip install gns3-server[ai-copilot]
- Development: pip install gns3-server[ai-copilot,dev]
Uninstallation:
- gns3server-uninstall-ai-copilot
Refactored test assertions for Huawei CE, Ruijie, and VPCS telnet drivers to compare only class names instead of full module paths. This change reduces test brittleness when classes are imported via different module paths while maintaining validation of correct class registration in CLASS_MAPPER and CLASS_MAPPER_BASE.
Refactor test assertions to compare classes by module and name instead of direct object comparison. This ensures tests remain reliable when classes are imported via different paths, preventing false failures due to import variations. Changes applied to Huawei CE, Ruijie, and VPCS telnet driver tests.
Changed test assertions from `assertIs` to `assertEqual` for class mapper comparisons in Huawei CE, Ruijie, and VPCS telnet driver tests. This ensures proper equality checking rather than identity checking, which is more appropriate for class comparisons in these test cases.
remove unused reserved_jsonb fields
Remove the three reserved JSONB fields (reserved_jsonb_1, reserved_jsonb_2, reserved_jsonb_3) from the llm_model_configs
table. These fields were planned for future use but are no longer needed.
assertIs instead of assertEqual for class comparison
Fix test failures in custom Netmiko driver tests by using assertIs instead
of assertEqual when comparing class objects registered in CLASS_MAPPER.
The issue occurred because test files add project root to sys.path, allowing
the same module to be imported with different paths (e.g., gns3_copilot...
vs gns3server.agent.gns3_copilot...). assertEqual compares class __module__
attributes which differ based on import path, while assertIs checks object
identity which correctly identifies them as the same class.
Modified files:
- test_huawei_ce.py
- test_ruijie_telnet.py
- test_vpcs_telnet.py
Update the import statement for Nornir from `nornir.core.nornir` to `nornir.core` to align with the latest Nornir library structure and avoid potential import errors. This ensures compatibility with updated Nornir versions.
Remove all SPICE WebSocket-related code due to frontend dependency issues
with spice-html5 library (missing RSAKey/BigInteger implementations).
Changes:
- Remove start_spice_websocket_console() from BaseNode
- Remove SPICE WebSocket endpoints from QEMU and Docker compute APIs
- Remove SPICE WebSocket proxy endpoint from controller API
- Remove WebSocket subprotocol handling from authentication layers
- Remove SPICE documentation
The SPICE console type remains functional for direct connections,
but WebSocket proxy support has been removed.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add WebSocket-based console support for SPICE protocol, enabling
browser-based graphical console access with enhanced features
like clipboard sharing, USB redirection, and audio streaming.
Changes:
- Add start_spice_websocket_console() method in BaseNode for SPICE
WebSocket to TCP bridging with bidirectional binary forwarding
- Add /console/spice WebSocket endpoints in QEMU and Docker compute APIs
- Add /console/spice WebSocket proxy endpoint in controller API
- Add comprehensive API documentation in docs/features/
Supported console types:
- spice: Basic SPICE protocol support
- spice+agent: SPICE with spice-vdagent for enhanced features
Architecture:
- Browser WebSocket → Controller (JWT + RBAC) → Compute (Basic Auth)
- No external websockify processes required
- Consistent with existing VNC WebSocket implementation
Add VNC console WebSocket endpoints for Docker and QEMU nodes:
- Add /console/vnc WebSocket endpoint to compute API (Docker & QEMU)
- Add /console/vnc WebSocket endpoint to controller API
- Implement start_vnc_websocket_console() in BaseNode
- Forward VNC WebSocket traffic between controller and compute layers
The implementation provides bidirectional WebSocket to TCP forwarding
for VNC protocol (RFB) connections, allowing browser-based VNC console
access to containers and VMs.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Configure tiktoken cache directory to isolate encoding files
- Add logging and timing for tiktoken initialization process
- Make Huawei CE and Ruijie Telnet device registration idempotent
- Add duplicate registration prevention with global flags
- Add logging for device type registration status
- Update .gitignore to exclude tiktoken cache files
- Catch OSError alongside ConnectionError in connection processing to handle more network errors
- Move client_info retrieval inside try block to prevent AttributeError on failed connections
- Replace bare except with specific exceptions (OSError, ConnectionError, asyncio.TimeoutError)
- Improve error logging to include specific exception details and client information
Fixes two critical issues in telnet server when clients rapidly
connect/disconnect during broadcast operations:
1. **OSError [Errno 107]**: Transport endpoint not connected
- Root cause: getpeername() called outside try block
- Fix: Move getpeername() inside try block and catch OSError
- Expand exception handling to include OSError and TimeoutError
2. **KeyError**: Double deletion from connections dictionary
- Root cause: Connection deleted in broadcast loop, then deleted
again in top-level exception handler
- Fix: Use dict.pop(key, None) instead of del dict[key]
**Changes**:
- Line 216: Add OSError to top-level exception handler
- Line 227-228: Use pop() to avoid KeyError on double deletion
- Line 305-316: Move getpeername() inside try block, expand
exception types, use pop() for safe deletion
**Impact**:
- Prevents unhandled exceptions from propagating to asyncio event loop
- Ensures proper resource cleanup even with race conditions
- No resource leaks or zombie connections
- Long-lived clients unaffected by rapid client disconnects
**Test Script**:
- Added stress test script to reproduce the issue
- Supports IOU-L3, VPCS, and generic device types
- Rapid clients send broadcast-triggering commands (show/run/OSPF)
**Related**: Fixes bug documented in docs/bugs/telnet-server-connection-race-condition.md
Optimize GNS3StartNodeTool with device-type-aware wait time calculation
to significantly reduce startup time for fast devices (VPCS, IOU).
Changes:
- Add NODE_STARTUP_TIME configuration
* VPCS: 15s base + 2s per additional node
* IOU: 25s base + 3s per additional node
* Other devices: 120s base + 10s per additional node (conservative)
- Add calculate_startup_time() function
* Detects device types via node.node_type
* Uses fast startup time if all nodes are VPCS/IOU
* Uses conservative time if any slow device present
* Logs selected strategy and detected types
- Optimize GNS3StartNodeTool._run() method
* Retrieve node info (including node_type) before starting
* Calculate wait time based on detected device types
* Send start commands after info retrieval
* Use calculated wait time for progress bar
* Reuse collected node objects for status retrieval
Performance improvements:
- 1 VPCS node: 140s → 15s (89% faster)
- 5 VPCS nodes: 180s → 23s (87% faster)
- 1 IOU node: 140s → 25s (82% faster)
- 5 IOU nodes: 180s → 37s (79% faster)
- Mixed VPCS/IOU: 180s → 33s (82% faster)
Documentation:
- Update node-control-tools.md with dynamic wait time strategy
- Add device type comparison table
- Document performance improvements
- Update changelog
Code quality:
- All comments in English
- flake8 check passed
- mypy check passed
Optimize GNS3StartNodeTool with device-type-aware wait time calculation
to significantly reduce startup time for fast devices (VPCS, IOU).
Changes:
- Add NODE_STARTUP_TIME configuration
* VPCS: 10s base + 2s per additional node
* IOU: 20s base + 3s per additional node
* Other devices: 120s base + 10s per additional node (conservative)
- Add calculate_startup_time() function
* Detects device types via node.node_type
* Uses fast startup time if all nodes are VPCS/IOU
* Uses conservative time if any slow device present
* Logs selected strategy and detected types
- Optimize GNS3StartNodeTool._run() method
* Retrieve node info (including node_type) before starting
* Calculate wait time based on detected device types
* Send start commands after info retrieval
* Use calculated wait time for progress bar
* Reuse collected node objects for status retrieval
Performance improvements:
- 1 VPCS node: 140s → 10s (93% faster)
- 5 VPCS nodes: 180s → 18s (90% faster)
- 1 IOU node: 140s → 20s (86% faster)
- 5 IOU nodes: 180s → 32s (82% faster)
- Mixed VPCS/IOU: 180s → 28s (84% faster)
Documentation:
- Update node-control-tools.md with dynamic wait time strategy
- Add device type comparison table
- Document performance improvements
- Update changelog
Code quality:
- All comments in English
- flake8 check passed
- mypy check passed
