Remote candidate training worker for the JuniperCascor cascade correlation neural network service.
This package enables distributed candidate training on remote hardware.
It supports two worker modes:
- WebSocket mode (default):
CascorWorkerAgentconnects to thejuniper-cascor/ws/v1/workersendpoint and exchanges structured JSON and binary tensor frames. - Legacy mode (
--legacy):CandidateTrainingWorkerconnects to aCandidateTrainingManagerovermultiprocessing.managers(deprecated).
This package is part of the Juniper ecosystem. Compatible with:
| juniper-data | juniper-cascor | juniper-canopy |
|---|---|---|
| 0.4.x | 0.3.x | 0.2.x |
pip install juniper-cascor-workerNote: This package requires the JuniperCascor source code to be importable on the worker machine (the worker runs CasCor's training code locally).
# Default mode (WebSocket)
juniper-cascor-worker \
--server-url ws://192.168.1.100:8200/ws/v1/workers \
--auth-token my-worker-token
# WebSocket mode with mTLS and custom heartbeat
juniper-cascor-worker \
--server-url wss://cascor.example.com/ws/v1/workers \
--auth-token my-worker-token \
--heartbeat-interval 15 \
--tls-cert /etc/juniper/worker.crt \
--tls-key /etc/juniper/worker.key \
--tls-ca /etc/juniper/ca.pem
# Legacy mode (deprecated)
juniper-cascor-worker \
--legacy \
--manager-host 192.168.1.100 \
--manager-port 50000 \
--authkey my-secret-key \
--workers 4 \
--mp-context forkserver \
--log-level INFOimport asyncio
from juniper_cascor_worker import CascorWorkerAgent, WorkerConfig
config = WorkerConfig(
server_url="ws://192.168.1.100:8200/ws/v1/workers",
auth_token="my-worker-token",
)
agent = CascorWorkerAgent(config)
asyncio.run(agent.run())| Variable | Mode | Description | Default |
|---|---|---|---|
CASCOR_SERVER_URL |
WebSocket (default) | Worker endpoint URL (ws:// or wss://) |
(required) |
CASCOR_AUTH_TOKEN |
WebSocket (default) | Token sent as X-API-Key header |
empty |
CASCOR_HEARTBEAT_INTERVAL |
WebSocket (default) | Seconds between heartbeat messages | 10.0 |
CASCOR_TLS_CERT |
WebSocket (default) | Client certificate path for mTLS | unset |
CASCOR_TLS_KEY |
WebSocket (default) | Client private key path for mTLS | unset |
CASCOR_TLS_CA |
WebSocket (default) | Custom CA bundle for TLS verification | unset |
CASCOR_MANAGER_HOST |
Legacy (--legacy) |
Manager hostname | 127.0.0.1 |
CASCOR_MANAGER_PORT |
Legacy (--legacy) |
Manager port | 50000 |
CASCOR_AUTHKEY |
Legacy (--legacy) |
Manager authentication key | (required in legacy mode) |
CASCOR_NUM_WORKERS |
Legacy (--legacy) |
Worker process count | 1 |
CASCOR_MP_CONTEXT |
Legacy (--legacy) |
Multiprocessing method | forkserver |
This package is part of the Juniper Cascade Correlation Neural Network Research Platform.
| Package | Description | Install |
|---|---|---|
| juniper-data-client | Dataset service client | pip install juniper-data-client |
| juniper-cascor-client | Neural network service client | pip install juniper-cascor-client |
| juniper-cascor-worker | Distributed training worker (this package) | pip install juniper-cascor-worker |
MIT License - see LICENSE for details.