In the documentation the PassRole Action includes the resource arn:aws:iam::<aws_account_id>:role/<task-role>. What is this resource referring to? Our implementation is working without defining this resource.

    {
      "Sid": "",
      "Effect": "Allow",
      "Action": "iam:PassRole",
      "Resource": [
        "arn:aws:iam::<aws_account_id>:role/<task-execution-role>",
        **"arn:aws:iam::<aws_account_id>:role/<task-role>"**
      ]
    }

Hello! Just a quick question: is there any way to send variables from JupyterHub API request like POST /users/{name}/servers/{server_name} to the container. So for example if I set some kind of key in JSON body like { "key1":"value1"} would it be possible to use this variable inside the container at notebool?

The AWS Fargate Platform Version 1.4.0 supports using Amazon EFS file system volumes for persistent task storage. However, the LATEST version still uses the 1.3.0 platform version.
In the same time RunTask ECS API method supports the platformVersion parameter.
It would be nice to have an option for selecting the desired platform version.

I am working on getting this setup for our current notebook setup. In the readme to use rolls for ECS auth this is what is written
from jupters3 import FargateSpawnerECSRoleAuthentication

Should that be
from fargatespawner import FargateSpawnerECSRoleAuthentication

I can do a PR if so.
Thanks

It would be great to be able to configure tags. See PR #7 for an implementation.

Hey!

Will this spawner persist the user input inside the notbook?
Or is there a way to configure this?

Thanks!

The following log line records API keys in plain text

[D 2021-01-13 21:16:04.593 JupyterHub fargatespawner:351] Request response ...

JUPYTERHUB_API_TOKEN
JPY_API_TOKEN

I believe this is the line writing the log:
https://github.com/uktrade/fargatespawner/blob/master/fargatespawner/fargatespawner.py#L203

run_response = await _run_task(self.log, self._aws_endpoint(), self.get_run_task_args(self))

Hello,
is there a way to configure fargateSpawner with EFS ?
I managed to get fargateSpawner running spawning Labs from a TaskDefinition using one EFS with an AccessPoint.
Resulting in all spawning Labs have the same storage dir.

I currently see two ways:
1.
Configuring Jupyterhub/FargateSpawner to redirect to a folder under the one EFS for example. (EFS is mounted on /home/joyvan)
/home/joyvan/user1 and /home/joyvan/user2 . The user1 or user2 dir must be created somewhere.
This would result in having one EFS for all and data accessible for everyone but users land in their home directory which is persistent. This is still okay for my solution.

Prettier:
2.
Configuring Jupyterhub/FargateSpawner to create an accessPoint for the known EFS for every User.
This will result in having one EFS but data is not accessible for everyone because of the accessPoints. But i need to set somewhere the new mounting configuration and it seems i am not able to do it with the c.FargateSpawner.get_run_task_args and the overrides.

   'cluster': cluster,
    'taskDefinition': runtaskTaskdefinitionArn,
    'count': 1,
    'overrides': {
        'containerOverrides': [{
....cutted

Depending its no even possible to override mount configs by the AWS RunTask or StartTask API.

The solutions seems to need more or less code implementations, which i really want to avoid.
Is there maybe already a solution?

Some help would be appreciated, thank you.

Hi
I tried setting up the default_url on the Spawner to launch Jupyterlab by default but it does not seem to work. It ends up launching the Jupyter Notebook ('/user/username/tree')

c.Spawner.default_url = '/lab'

Is there another setting for fargatespawner that I should be using?
Thanks

Dear @michalc,

sorry for the naive question: but how/where do I set up the JupyterHub in the first place? Does this assume that a JupyterHub (running inside a container?) is already running on AWS?

Thanks!

Best wishes,
-Filippo

I have tried to use a field from an options form to add an environment variable to a new notebook but cannot work out how

if I set the following i get an error, any pointers would be great, i also cant see how to add the value to an environment variable ourside the get_run_task_args
'environment': [
{
'name': 'newvar',
'value': spawner.user_options['key'][0]
},
{
'name': name,
'value': value,
} for name, value in spawner.get_env().items()
],