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