where did you specify it?

This is really extremely hard to debug. I am thinking to create another repo and iterate on the packages to hopefully find the problem, but it will take ages.

Yes indeed, but what about the possibility to do the clone/poetry installation ourself in the init bash script of the task?

but I still had time to go inside the container, export the PATH variables for my poetry and python versions, and run the poetry install command there

And I just tried with Python 3.8 (default version of the image) and it still fails.

Poetry Enabled: Ignoring requested python packages, using repository poetry lock file!
Creating virtualenv debug in /root/.clearml/venvs-builds/3.8/task_repository/clearmldebug.git/.venv
Using virtualenv: /root/.clearml/venvs-builds/3.8/task_repository/clearmldebug.git/.venv
2023-04-18 15:03:52
Installing dependencies from lock file
Finding the necessary packages for the current system
Package operations: 6 installs, 0 updates, 0 removals
failed installing poetry requirements: Command '['poetry', 'install', '-n', '-v']' returned non-zero exit status 1.

Using a pyenv virtual env then exporting LOCALPYTHON env var

How do you explain that it works when I ssh-ed into the same AWS container instance from the autoscaler?

When the task finally failed, I was kicked of from the container

The same container

My issue has been resolved going with pip.

Yes same error

I am literrally trying with 1 package and python and it fails. I tried with python 3.8 3.9 and 3.9.16. and it always fail --> not linked to python version. What is the problem then? I am wondering if there is not an intrinsic bug

The autoscaler just runs it on an AWS instance, inside a docker container - there's no difference from running it yourself inside a docker container - did you try running it inside a docker container as well?

@<1556812486840160256:profile|SuccessfulRaven86> , did you install poetry inside the EC2 instance or inside the docker? Basically, where do you put the poetry installation bash script - in the 'init script' section of the autoscaler or on the task's 'setup shell script' in execution tab (This is basically the script that runs inside the docker)

It sounds like you're installing poetry on the ec2 instance itself but the experiment runs inside a docker container

I tried too. I do not have more logs inside the ClearML agent 😞

@<1523701070390366208:profile|CostlyOstrich36> poetry is installed as part of the bash script of the task.

The init script of the AWS autoscaler only contains three export variables I set.

or just to the AWS instance?

@<1523701087100473344:profile|SuccessfulKoala55> Do you think it is possible to ask to run docker mode in the aws autoscaler, and add the cloning and installation inside the init bash script of the task?

You can theoretically do that in the docker init bash script that will be executed before the task is cloned and run

and are you sure these are the same env vars available when the agent does the same?

I also did that in the following way:

• I put a sleep inside the bash script
• I ssh-ed to the fresh container and did all commands myself (cloning, installation) and again it worked...

@<1523701070390366208:profile|CostlyOstrich36> @<1523701087100473344:profile|SuccessfulKoala55> I tried with dummy repo. Using Python and stripe packages ONLY in the pyproject.toml

Here is my result (still failing) :

Poetry Enabled: Ignoring requested python packages, using repository poetry lock file!
Creating virtualenv debug in /root/.clearml/venvs-builds/3.9/task_repository/clearmldebug.git/.venv
Using virtualenv: /root/.clearml/venvs-builds/3.9/task_repository/clearmldebug.git/.venv
Installing dependencies from lock file
Finding the necessary packages for the current system
Package operations: 6 installs, 0 updates, 0 removals
failed installing poetry requirements: Command '['poetry', 'install', '-n', '-v']' returned non-zero exit status 1.
Ignoring pip: markers 'python_version >= "3.10"' don't match your environment

I am currently trying with a new dummy repo and I iterate over the dependencies of the pyproject.toml.

@<1556812486840160256:profile|SuccessfulRaven86> can you try with -vvv instead of -v ?

@<1556812486840160256:profile|SuccessfulRaven86> , to make things easier to debug, can you try running the agent locally?

So the same?

into the same docker container running the task?

the autoscaler always uses docker mode

I guess it makes no sense because of the steps a clearml-agent works...
I also thought about going to pip mode but not all packages are detected from our poetry.lock file unfortunately so cannot do that.

Yes I take the export statements from my bash script of the task