I am currently trying with a new dummy repo and I iterate over the dependencies of the pyproject.toml.
You can theoretically do that in the docker init bash script that will be executed before the task is cloned and run
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 should be correct. Inside the bash script of the task.
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.
@<1556812486840160256:profile|SuccessfulRaven86> can you try with -vvv
instead of -v
?
Yes, the problem is it's still really hidden (the error, I mean)
Yes indeed, but what about the possibility to do the clone/poetry installation ourself in the init bash script of the task?
I think you should try to manually start such a docker container and try to see what fails in the process. Attaching to an existing one has too many differences already
How do you explain that it works when I ssh-ed into the same AWS container instance from the autoscaler?
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
How is it still up is the task failed?
@<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.
Because I was ssh-ing to it before the fail. When poetry fails, it installs everything using PIP
into the same docker container running the task?
When the task finally failed, I was kicked of from the container
@<1556812486840160256:profile|SuccessfulRaven86> , to make things easier to debug, can you try running the agent locally?
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?
@<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 see it's running inside 3.9, so I assume it's correct
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.
How to make sure that the python version is correct?
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
I tried too. I do not have more logs inside the ClearML agent 😞
Is it a bug inside the AWS autoscaler??