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# Spawning and proxying a web service from JupyterHub
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- The ` standalone ` feature of Jupyter Server Proxy enables JupyterHub Admins to launch and proxy arbitrary web services
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- directly, in place of the JupyterLab or Notebook. You can use Jupyter Server Proxy to spawn a single proxy,
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- without it being attached to a Jupyter server. The proxy securely authenticates and restricts access to authorized
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+ The ` standalone ` feature of Jupyter Server Proxy enables JupyterHub Admins to launch and proxy arbitrary web services
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+ directly, in place of the JupyterLab or Notebook. You can use Jupyter Server Proxy to spawn a single proxy,
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+ without it being attached to a Jupyter server. The proxy securely authenticates and restricts access to authorized
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users through JupyterHub, giving a unified way to securely provide arbitrary applications.
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- This works similar to {ref}` proxying Server Processes <server-process> ` , where a server process is started and proxied.
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- The Proxy is usually started from the command line, often by modifying the ` Spawner.cmd ` in your
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+ This works similar to {ref}` proxying Server Processes <server-process> ` , where a server process is started and proxied.
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+ The Proxy is usually started from the command line, often by modifying the ` Spawner.cmd ` in your
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[ JupyterHub Configuration] ( https://jupyterhub.readthedocs.io/en/stable/tutorial/getting-started/spawners-basics.html ) .
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This feature builds upon the work of [ Dan Lester] ( https://github.com/danlester ) , who originally developed it in the
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[ jhsingle-native-proxy] ( https://github.com/ideonate/jhsingle-native-proxy ) package.
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## Installation
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- This feature has a dependency to JupyterHub and must be explicitly installed via an optional dependency:
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+ This feature has a dependency to JupyterHub and must be explicitly installed via an optional dependency:
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``` shell
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pip install jupyter-server-proxy[standalone]
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```
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## Usage
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- The standalone proxy is controlled with the ` jupyter standaloneproxy ` command. You always need to specify the
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- {ref}` command <server-process:cmd> ` of the web service that will be launched and proxied. Let's use
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+
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+ The standalone proxy is controlled with the ` jupyter standaloneproxy ` command. You always need to specify the
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+ {ref}` command <server-process:cmd> ` of the web service that will be launched and proxied. Let's use
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[ voilà] ( https://github.com/voila-dashboards/voila ) as an example here:
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``` shell
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jupyter standaloneproxy -- voila --no-browser --port={port} /path/to/some/Notebook.ipynb
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```
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Executing this command will spawn a new HTTP Server, which will spawn the voilà dashboard and render the notebook.
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- Any template strings (like the ` --port={port} ` ) inside the command will be automatically replaced when the command is
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+ Any template strings (like the ` --port={port} ` ) inside the command will be automatically replaced when the command is
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executed.
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The CLI has multiple advanced options to customize the behavior of the proxy. Execute ` jupyter standaloneproxy --help `
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to get a complete list of all arguments.
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### Specify address and port
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The proxy will try to extract the address and port from the ` JUPYTERHUB_SERVICE_URL ` environment variable, which is
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set if an application is launched by JupyterHub. Otherwise, it will be launched on ` 127.0.0.1:8888 ` .
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You can also explicitly overwrite these values:
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```
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### Disable Authentication
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For testing, it can be useful to disable the authentication with JupyterHub. Passing ` --skip-authentication ` will
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not triggering the login process when accessing the application.
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- ``` {warning} Disabling authentication will leave the application open to anyone! Be careful with it,
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+ ``` {warning} Disabling authentication will leave the application open to anyone! Be careful with it,
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especially on multi-user systems.
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```
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## Usage with JupyterHub
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- To launch a standalone proxy with JupyterHub, you need to customize the ` Spawner ` inside the configuration
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+ To launch a standalone proxy with JupyterHub, you need to customize the ` Spawner ` inside the configuration
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using traitlets:
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``` python
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```
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## Technical Overview
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The following section should serve as an explanation to developers of the standalone feature of jupyter-server-proxy.
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It outlines the basic functionality and will explain the different components of the code in more depth.
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### JupyterHub and jupyterhub-singleuser
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By default, JupyterHub will use the ` jupyterhub-singleuser ` executable when launching a new instance for a user.
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- This executable is usually a wrapper around the ` JupyterLab ` or ` Notebook ` application, with some
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+ This executable is usually a wrapper around the ` JupyterLab ` or ` Notebook ` application, with some
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additions regarding authentication and multi-user systems.
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In the standalone feature, we try to mimic these additions, but instead of using ` JupyterLab ` or ` Notebook ` , we
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will wrap them around an arbitrary web application.
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The different additions will be discussed in more detail below.
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### Structure
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- The standalone feature is built on top of the ` SuperviseAndProxyhandler ` , which will spawn a process and proxy
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- requests to this server. While this process is called * Server* in the documentation, I will call it * Application*
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+ The standalone feature is built on top of the ` SuperviseAndProxyhandler ` , which will spawn a process and proxy
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+ requests to this server. While this process is called _ Server_ in the documentation, I will call it _ Application_
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here, to avoid confusion with the other server where the ` SuperviseAndProxyhandler ` is attached to.
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When using jupyter-server-proxy, the proxies are attached to the Jupyter server and will proxy requests
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to the application.
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- Since we do not want to use the Jupyter server here, we instead require an alternative server, which will be used
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+ Since we do not want to use the Jupyter server here, we instead require an alternative server, which will be used
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to attach the ` SuperviseAndProxyhandler ` and all the required additions from ` jupyterhub-singleuser ` .
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For that, we use tornado ` HTTPServer ` .
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### Login and Authentication
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One central component is the authentication with the JupyterHub Server.
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Any client accessing the application will need to authenticate with the JupyterHub API, which will ensure only
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the user themselves (or otherwise allowed users, e.g., admins) can access the application.
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- The Login process is started by deriving our ` StandaloneProxyHandler ` from
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+ The Login process is started by deriving our ` StandaloneProxyHandler ` from
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[ jupyterub.services.auth.HubOAuthenticated] ( https://github.com/jupyterhub/jupyterhub/blob/5.0.0/jupyterhub/services/auth.py#L1541 )
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and decorating any methods we want to authenticate with ` tornado.web.authenticated ` .
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For the proxy, we just decorate the ` proxy ` method with ` web.authenticated ` , which will authenticate all routes on all HTTP Methods.
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- ` HubOAuthenticated ` will automatically provide the login URL for the authentication process and any
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+ ` HubOAuthenticated ` will automatically provide the login URL for the authentication process and any
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client accessing any path of our server will be redirected to the JupyterHub API.
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- After a client has been authenticated with the JupyterHub API, they will be redirected back to our server.
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+ After a client has been authenticated with the JupyterHub API, they will be redirected back to our server.
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This redirect will be received on the ` /oauth_callback ` path, from where we need to redirect the client back to the
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root of the application.
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- We use the [ HubOAuthCallbackHander] ( https://github.com/jupyterhub/jupyterhub/blob/5.0.0/jupyterhub/services/auth.py#L1547 ) ,
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- another handler from the JupyterHub package, for this.
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+ We use the [ HubOAuthCallbackHander] ( https://github.com/jupyterhub/jupyterhub/blob/5.0.0/jupyterhub/services/auth.py#L1547 ) ,
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+ another handler from the JupyterHub package, for this.
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It will also cache the received OAuth state from the login, so that we can skip authentication for the next requests
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and do not need to go through the whole login process for each request.
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### SSL certificates
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- In some JupyterHub configurations, the launched application will be configured to use an SSL certificate for request
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- between the JupyterLab / Notebook and the JupyterHub API. The path of the certificate is given in the
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- ` JUPYTERHUB_SSL_* ` environment variables. We use these variables to create a new SSL Context for both
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- the ` AsyncHTTPClient ` (used for Activity Notification, see below) and the ` HTTPServer ` .
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+ In some JupyterHub configurations, the launched application will be configured to use an SSL certificate for request
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+ between the JupyterLab / Notebook and the JupyterHub API. The path of the certificate is given in the
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+ ` JUPYTERHUB_SSL_* ` environment variables. We use these variables to create a new SSL Context for both
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+ the ` AsyncHTTPClient ` (used for Activity Notification, see below) and the ` HTTPServer ` .
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### Activity Notifications
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The ` jupyterhub-singleuser ` will periodically send an activity notification to the JupyterHub API and inform it that
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- the currently running application is still active. Whether this information is actually used or not depends on the
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+ the currently running application is still active. Whether this information is actually used or not depends on the
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specific configuration of this JupyterHub.
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### Environment Variables
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JupyterHub uses a lot of environment variables to specify how the launched app should be run.
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This list is a small overview of all used variables and what they contain and are used for.
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| Variable | Explanation | Typical Value |
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- | --------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------- |
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+ | ------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
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| ` JUPYTERHUB_SERVICE_URL ` | URL where the server should be listening. Used to find the Address and Port to start the server on. | ` http://127.0.0.1:5555 ` |
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| ` JUPYTERHUB_SERVICE_PREFIX ` | An URL Prefix where the root of the launched application should be hosted. E.g., when set to ` /user/name/ ` , then the root of the proxied aplication should be ` /user/name/index.html ` | ` /services/service-name/ ` or ` /user/name/ ` |
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| ` JUPYTERHUB_ACTIVITY_URL ` | URL where to send activity notifications to. | ` $JUPYTERHUB_API_URL/user/name/activity ` |
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| ` JUPYTERHUB_API_TOKEN ` | Authorization Token for requests to the JupyterHub API. | |
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| ` JUPYTERHUB_SERVER_NAME ` | A name given to all apps launched by the JupyterHub. | |
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| ` JUPYTERHUB_SSL_KEYFILE ` , ` JUPYTERHUB_SSL_CERTFILE ` , ` JUPYTERHUB_SSL_CLIENT_CA ` | Paths to keyfile, certfile and client CA for the SSL configuration | |
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- | ` JUPYTERHUB_USER ` , ` JUPYTERHUB_GROUP ` | Name and Group of the user for this application. Required for Authentication |
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+ | ` JUPYTERHUB_USER ` , ` JUPYTERHUB_GROUP ` | Name and Group of the user for this application. Required for Authentication |
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