hazza/jupyterhub
1
0
Fork 0
mirror of https://github.com/jupyterhub/jupyterhub.git synced 2025-10-17 23:13:00 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #3078 from gatoniel/patch-1

Browse Source
This commit is contained in:
Min RK
2020-06-11 10:30:21 +02:00
committed by GitHub
parent 77edffd695 4eb22821f2
commit d20a33a0e4
1 changed files with 5 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
docs/source/troubleshooting.md
View File

@@ -152,7 +152,7 @@ You should see a similar 200 message, as above, in the Hub log when you first
visit your single-user notebook server. If you don't see this message in the log, it
may mean that your single-user notebook server isn't connecting to your Hub.
If you see 403 (forbidden) like this, it's a token problem:
If you see 403 (forbidden) like this, it's likely a token problem:
```
403 GET /hub/api/authorizations/cookie/jupyterhub-token-name/[secret] (@10.0.1.4) 4.14ms
@@ -196,6 +196,10 @@ After this, when you start your server via JupyterHub, it will build a
new container. If this was the underlying cause of the issue, you should see
your server again.
##### Proxy settings (403 GET)
When your whole JupyterHub sits behind a organization proxy (*not* a reverse proxy like NGINX as part of your setup and *not* the configurable-http-proxy) the environment variables `HTTP_PROXY`, `HTTPS_PROXY`, `http_proxy` and `https_proxy` might be set. This confuses the jupyterhub-singleuser servers: When connecting to the Hub for authorization they connect via the proxy instead of directly connecting to the Hub on localhost. The proxy might deny the request (403 GET). This results in the singleuser server thinking it has a wrong auth token. To circumvent this you should add `<hub_url>,<hub_ip>,localhost,127.0.0.1` to the environment variables `NO_PROXY` and `no_proxy`.
### Launching Jupyter Notebooks to run as an externally managed JupyterHub service with the `jupyterhub-singleuser` command returns a `JUPYTERHUB_API_TOKEN` error
[JupyterHub services](https://jupyterhub.readthedocs.io/en/stable/reference/services.html) allow processes to interact with JupyterHub's REST API. Example use-cases include: