Jupyter kernels Pool manager
A http server for jupyter kernels pool management
| NAME | Default Value | Description |
|---|---|---|
| JKP_EG_ENDPOINT | http://127.0.0.1:8888 | jupyter server enterprise gateway. |
| JKP_MAX_PENDING_KERNELS | 10 | The maximum number of Jupyter kernels idle. |
| JKP_NFS_VOLUME_SERVER | 10.0.0.29 | NFS SERVER HOST |
| JKP_NFS_MOUNT_PATH | /data/tablegpt-test/shared/ | NFS MOUNTED PATH |
| JKP_WORKING_DIR | /mnt/shared/ | Jupyter kernel Working Dir PATH |
| JKP_KERNEL_IMAGE | elyra/kernel-py:3.2.2 | Jupyter Kernel Running Image |
| JKP_KERNEL_NAMESPACE | tablegpt-kernels | Jupyter Kernel Running namespace in k8s |
| JKP_SERVER_PORT | 8080 | JKP Manager Http Server Running Port |
| JKP_ACTIVATION_INTERVAL | 1200 | The activation time interval of the kernel WS connection |
| JKP_REDIS_HOST | 127.0.0.1 | Redis HOST |
| JKP_REDIS_PORT | 6379 | Redis Port |
| JKP_REDIS_DB | 0 | Redis DB |
| JKP_REDIS_KEY | tablegpt-test:kernels:idle | redis key to save kernels info |
| Name | Required | Description |
|---|---|---|
| userId | true | Create a directory and cd into the directory's userId. |
POST /api/kernels/pop/ HTTP/1.1 Content-Type: application/json Host: 127.0.0.1:8080
{ userId":"zt" }
{
"id": "7d7e2f30-60bf-415c-836c-1137256965d9",
"name": "python_kubernetes",
"last_activity": "2024-02-29T06:37:19.189801Z",
"execution_state": "starting",
"connections": 0
}
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