update bak

This commit is contained in:
2024-05-27 13:01:20 +08:00
parent d31595f238
commit c8389c4855

View File

@@ -1,68 +1,108 @@
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
# Configuration file for JupyterHub
import os import os
from pathlib import Path
from dockerspawner import DockerSpawner
c = get_config() c = get_config() # noqa: F821
c.Application.log_level = 'DEBUG'
# 基本的JupyterHub配置 # We rely on environment variables to configure JupyterHub so that we
c.JupyterHub.cookie_secret_file = os.path.expanduser('~/.jupyterhub/jupyterhub_cookie_secret') # avoid having to rebuild the JupyterHub container every time we change a
db_file = os.path.expanduser('~/.jupyterhub/jupyterhub.sqlite') # configuration parameter.
c.JupyterHub.db_url = f'sqlite:///{db_file}'
c.ConfigurableHTTPProxy.pid_file = os.path.expanduser('~/.jupyterhub/jupyterhub-proxy.pid')
# Authenticator 设置 # from dockerspawner import DockerSpawner
c.JupyterHub.authenticator_class = 'jupyterhub.auth.PAMAuthenticator'
c.PAMAuthenticator.encoding = 'utf8'
c.Authenticator.admin_users = set()
c.Authenticator.allowed_users = set()
c.LocalAuthenticator.create_system_users = True
# Spawner 设置 # class MyDockerSpawner(DockerSpawner):
c.Spawner.ip = '127.0.0.1' # def start(self):
c.Spawner.cmd = ['jupyter-labhub'] # # 启动父类的start方法
c.Spawner.default_url = '/lab' # self.user_options['environment']['JUPYTER_ENABLE_NBEXTENSIONS'] = 'true'
c.LocalProcessSpawner.shell_cmd = ["bash", "-l", "-c"] # self.user_options['cmd'] = [
c.Spawner.notebook_dir = '~' # 'bash',
c.Spawner.args = ['--allow-root', "--KernelSpecManager.ensure_native_kernel=False", '--NotebookApp.allow_origin_pat=https://.*vscode-cdn\\.net', '--NotebookApp.iopub_data_rate_limit=10000000'] # '-c',
# 'pip install nglview jupyter_packaging -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com && jupyter nbextension enable nglview --py --sys-prefix && jupyter labextension install nglview-js-widgets && jupyter labextension install @jupyter-widgets/jupyterlab-manager && start-singleuser.sh'
# ]
# return super().start()
# 环境变量保持 # Spawn single-user servers as Docker containers
c.Spawner.env_keep = ['PATH', 'PYTHONPATH', 'LD_LIBRARY_PATH', 'ENV1', 'ENV2'] c.Authenticator.allow_all = True
c.JupyterHub.spawner_class = "dockerspawner.DockerSpawner"
# JupyterHub 服务配置 # Spawn containers from this image
c.JupyterHub.ip = '0.0.0.0' c.DockerSpawner.image = os.environ["DOCKER_NOTEBOOK_IMAGE"]
c.JupyterHub.port = 9000
c.JupyterHub.shutdown_on_logout = True
c.JupyterHub.statsd_prefix = 'jupyterhub'
c.JupyterHub.page_title = 'JupyterHub Service'
# Dockerspawner 配置(如果需要启用) # Connect containers to this Docker network
c.JupyterHub.spawner_class = DockerSpawner network_name = os.environ["DOCKER_NETWORK_NAME"]
c.DockerSpawner.allowed_images='*' c.DockerSpawner.use_internal_ip = True
c.DockerSpawner.network_name = network_name
# Docker 守护进程的地址 # Explicitly set notebook directory because we'll be mounting a volume to it.
c.DockerSpawner.docker_host = 'unix:///var/run/docker.sock' # Most `jupyter/docker-stacks` *-notebook images run the Notebook server as
# user `jovyan`, and set the notebook directory to `/home/jovyan/work`.
# We follow the same convention.
notebook_dir = os.environ.get("DOCKER_NOTEBOOK_DIR", "/home/jovyan/work")
c.DockerSpawner.notebook_dir = notebook_dir
# 使用的 Docker 镜像 # Mount the real user's Docker volume on the host to the notebook user's
c.DockerSpawner.image = 'quay.io/jupyter/scipy-notebook' # notebook directory in the container
# c.DockerSpawner.volumes = {"jupyterhub-user-{username}": notebook_dir}
# Mount the real user's Docker volume on the host to the notebook user's
# notebook directory in the container
c.DockerSpawner.volumes = {
"jupyterhub-user-{username}": notebook_dir,
"/mnt/mydrive": "/home/jovyan/work/mydrive",
"/mnt/mydrive/project/docker-jupyterhub/id_rsa": "/home/jovyan/.ssh/id_rsa",
}
# 删除容器当它停止时
# Remove containers once they are stopped
c.DockerSpawner.remove = True c.DockerSpawner.remove = True
# 设置网络(如果您有特定的 Docker 网络配置) # For debugging arguments passed to spawned containers
# c.DockerSpawner.network_name = 'jupyterhub' c.DockerSpawner.debug = True
# c.Application.log_level = 'DEBUG'
# JupyterHub 的连接地址,用于 DockerSpawner 内部通信 # User containers will access hub by container name on the Docker network
# 如果 JupyterHub 运行在同一 Docker 网络中,可以使用 Docker 容器名称 c.JupyterHub.hub_ip = 'jupyterhub'
# c.JupyterHub.hub_connect_ip = 'jupyterhub' c.JupyterHub.hub_port = 8080
# 其他配置... # Persist hub data on volume mounted inside container
c.JupyterHub.cookie_secret_file = "/data/jupyterhub_cookie_secret"
c.JupyterHub.db_url = "sqlite:////data/jupyterhub.sqlite"
# 注意:下面这行配置是不必要的,因为您已经使用 Unix 套接字 # Authenticate users with Native Authenticator
# c.DockerSpawner.docker_host = 'tcp://docker-daemon-host:2375' c.JupyterHub.authenticator_class = "nativeauthenticator.NativeAuthenticator"
# 如果使用TLS根据需要取消注释
# os.environ['DOCKER_TLS_VERIFY'] = '1' # Allow anyone to sign-up without approval
# os.environ['DOCKER_CERT_PATH'] = '/path/to/certificates' c.NativeAuthenticator.open_signup = True
# Allowed admins
admin = os.environ.get("JUPYTERHUB_ADMIN")
if admin:
c.Authenticator.admin_users = [admin]
# c.DockerSpawner.extra_create_kwargs.update({
# "environment": {"JUPYTER_ENABLE_LAB": "yes"}
# })
# 启动jupyter时候增加跨域支持, 否则反向代理的时候出现问题
# --NotebookApp.iopub_data_rate_limit=10000000 给nglview使用
c.DockerSpawner.extra_create_kwargs.update({
"environment": {"NOTEBOOK_ARGS": "--NotebookApp.allow_origin='*' --NotebookApp.iopub_data_rate_limit=10000000"}
})
# 要支持正则匹配的域名请求,可以通过设置 allow_origin_pat 参数来实现。这个参数允许你使用正则表达式来匹配允许跨域请求的域名。例如,如果你想允许所有以 .example.com 结尾的域名进行跨域请求,可以在 jupyterhub_config.py 文件中添加如下配置:
# c.Spawner.environment = {
# 'JUPYTERHUB_CORS': '{"allow_origin_pat": "https?://.*\\.example\\.com"}'
# }
# GPU 和网络配置
c.DockerSpawner.extra_host_config = {
'runtime': 'nvidia'
}
c.DockerSpawner.environment = {
'NVIDIA_DRIVER_CAPABILITIES': 'compute,utility',
'NVIDIA_VISIBLE_DEVICES': 'all'
}
# 其他配置(根据需要添加)
# ...