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Edit networking and REST API usage docs

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Carol Willing
2017-07-25 15:23:25 -07:00
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docs/source/networking-basics.md
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# Networking basics # Networking basics
## Configuring the Proxy's IP address and port ## Set the Proxy's IP address and port
The Proxy's main IP address setting determines where JupyterHub is available to users. The Proxy's main IP address setting determines where JupyterHub is available to users.
By default, JupyterHub is configured to be available on all network interfaces By default, JupyterHub is configured to be available on all network interfaces
(`''`) on port 8000. **Note**: Use of `'*'` is discouraged for IP configuration; (`''`) on port 8000. *Note*: Use of `'*'` is discouraged for IP configuration;
instead, use of `'0.0.0.0'` is preferred. instead, use of `'0.0.0.0'` is preferred.
Changing the IP address and port can be done with the following command line Changing the Proxy's main IP address and port can be done with the following
arguments: JupyterHub **command line options**:
```bash ```bash
jupyterhub --ip=192.168.1.2 --port=443 jupyterhub --ip=192.168.1.2 --port=443
``` ```
Or by placing the following lines in a configuration file: Or by placing the following lines in a **configuration file**,
`jupyterhub_config.py`:
```python ```python
c.JupyterHub.ip = '192.168.1.2' c.JupyterHub.ip = '192.168.1.2'
c.JupyterHub.port = 443 c.JupyterHub.port = 443
``` ```
Port 443 is used as an example since 443 is the default port for SSL/HTTPS. Port 443 is used in the examples since 443 is the default port for SSL/HTTPS.
Configuring only the main IP and port of JupyterHub should be sufficient for most deployments of JupyterHub. Configuring only the main IP and port of JupyterHub should be sufficient for
However, more customized scenarios may need additional networking details to most deployments of JupyterHub. However, more customized scenarios may need
be configured. additional networking details to be configured.
## Set the Proxy's REST API communication IP address and port (optional)
## Configuring the Proxy's REST API communication IP address and port (optional)
The Hub service talks to the proxy via a REST API on a secondary port, The Hub service talks to the proxy via a REST API on a secondary port,
whose network interface and port can be configured separately. whose network interface and port can be configured separately.
By default, this REST API listens on port 8081 of localhost only. By default, this REST API listens on port 8081 of `localhost` only.
If running the Proxy separate from the Hub, If running the Proxy separate from the Hub, configure the REST API communication
configure the REST API communication IP address and port with: IP address and port by adding this to the `jupyterhub_config.py` file:
```python ```python
# ideally a private network address # ideally a private network address
@@ -42,9 +44,11 @@ c.JupyterHub.proxy_api_port = 5432
``` ```
## Configuring the Hub if Spawners or Proxy are remote or isolated in containers ## Configuring the Hub if Spawners or Proxy are remote or isolated in containers
The Hub service also listens only on localhost (port 8080) by default.
The Hub needs needs to be accessible from both the proxy and all Spawners. The Hub service listens only on `localhost` (port 8080) by default.
When spawning local servers, an IP address setting of localhost is fine. The Hub needs to be accessible from both the proxy and all Spawners.
When spawning local servers, an IP address setting of `localhost` is fine.
If *either* the Proxy *or* (more likely) the Spawners will be remote or If *either* the Proxy *or* (more likely) the Spawners will be remote or
isolated in containers, the Hub must listen on an IP that is accessible. isolated in containers, the Hub must listen on an IP that is accessible.

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docs/source/rest.md
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# Using JupyterHub's REST API # Using JupyterHub's REST API
This section will give you information on:
- what you can do with the API
- create an API token
- add API tokens to the config files
- make an API request programmatically using the requests library
- learn more about JupyterHub's API
## What you can do with the API
Using the [JupyterHub REST API][], you can perform actions on the Hub, Using the [JupyterHub REST API][], you can perform actions on the Hub,
such as: such as:
@@ -12,16 +22,16 @@ A [REST](https://en.wikipedia.org/wiki/Representational_state_transfer)
API provides a standard way for users to get and send information to the API provides a standard way for users to get and send information to the
Hub. Hub.
## Create an API token
## Creating an API token
To send requests using JupyterHub API, you must pass an API token with the To send requests using JupyterHub API, you must pass an API token with the
request. You can create a token for an individual user using the following request. You can create a token for an individual user using the following
command: command:
jupyterhub token USERNAME jupyterhub token USERNAME
## Add API tokens to the config file
## Adding tokens to the config file
You may also add a dictionary of API tokens and usernames to the hub's You may also add a dictionary of API tokens and usernames to the hub's
configuration file, `jupyterhub_config.py`: configuration file, `jupyterhub_config.py`:
@@ -31,16 +41,16 @@ c.JupyterHub.api_tokens = {
} }
``` ```
## Make an API request
## Making an API request
To authenticate your requests, pass the API token in the request's To authenticate your requests, pass the API token in the request's
Authorization header. Authorization header.
**Example: List the hub's users** ### Use requests
Using the popular Python requests library, the following code sends an API Using the popular Python [requests](http://docs.python-requests.org/en/master/)
request and an API token for authorization: library, here's example code to get users of a JupyterHub deployment. An API
is made, and the request sends an API token for authorization:
```python ```python
import requests import requests
@@ -57,18 +67,19 @@ r.raise_for_status()
users = r.json() users = r.json()
``` ```
Note that the token authorizes JupyterHub REST API requests. The same token Note that the API token authorizes **JupyterHub** REST API requests. The same
does **not** authorize access to the [Jupyter Notebook REST API][] provided token does **not** authorize access to the [Jupyter Notebook REST API][]
by notebook servers managed by JupyterHub. provided by notebook servers managed by JupyterHub. A different token is used
to access the **Jupyter Notebook** API.
## Learning more about the API ## Learn more about the API
You can see the full [JupyterHub REST API][] for details. You can see the full [JupyterHub REST API][] for details. This REST API Spec can
The same REST API Spec can be viewed in a more interactive style [on swagger's petstore][]. be viewed in a more [interactive style on swagger's petstore][].
Both resources contain the same information and differ only in its display. Both resources contain the same information and differ only in its display.
Note: The Swagger specification is being renamed the [OpenAPI Initiative][]. Note: The Swagger specification is being renamed the [OpenAPI Initiative][].
[on swagger's petstore]: http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyterhub/jupyterhub/master/docs/rest-api.yml#!/default [interactive style on swagger's petstore]: http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyterhub/jupyterhub/master/docs/rest-api.yml#!/default
[OpenAPI Initiative]: https://www.openapis.org/ [OpenAPI Initiative]: https://www.openapis.org/
[JupyterHub REST API]: ./_static/rest-api/index.html [JupyterHub REST API]: ./_static/rest-api/index.html
[Jupyter Notebook REST API]: http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/notebook/master/notebook/services/api/api.yaml [Jupyter Notebook REST API]: http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/notebook/master/notebook/services/api/api.yaml