# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.

# Configuration file for JupyterHub
import os

c = get_config()  # noqa: F821

# We rely on environment variables to configure JupyterHub so that we
# avoid having to rebuild the JupyterHub container every time we change a
# configuration parameter.

# Spawn single-user servers as Docker containers
c.JupyterHub.spawner_class = "dockerspawner.DockerSpawner"

# Spawn containers from this image
c.DockerSpawner.image = os.environ["DOCKER_NOTEBOOK_IMAGE"]

# Connect containers to this Docker network
network_name = os.environ["DOCKER_NETWORK_NAME"]
c.DockerSpawner.use_internal_ip = True
c.DockerSpawner.network_name = network_name

# Explicitly set notebook directory because we'll be mounting a volume to it.
# 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

# 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}
# 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",
}


# Remove containers once they are stopped
c.DockerSpawner.remove = True

# For debugging arguments passed to spawned containers
c.DockerSpawner.debug = True
# c.Application.log_level = 'DEBUG'

# User containers will access hub by container name on the Docker network
c.JupyterHub.hub_ip = 'jupyterhub'
c.JupyterHub.hub_port = 8080

# 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"

# Authenticate users with Native Authenticator
c.JupyterHub.authenticator_class = "nativeauthenticator.NativeAuthenticator"

# Allow anyone to sign-up without approval
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'
}