https://github.com/allegroai/clearml-server/issues/134

e.g. a separate structured user guide with common tips, usability, best practices - https://pandas.pydata.org/pandas-docs/stable/user_guide/index.html
vs the doc, where each function is its own page, e.g.
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html

Visibility, same issue as I had 😁

I'll have yet another look at both the latest agent RC and at the docker-compose, thanks!

There was no "default" services agent btw, just the queue, I had to launch an agent myself (not sure if it's relevant)

My code is done, it's hanging waiting for ClearML :E

Actually SuccessfulKoala55 , there is something like that happening behind the scenes.
I have an AWS Autoscaler running on a services queue, so the autoscaler inherits the configuration used by the services agent, right?
Now, when my autoscaler launched new EC2 instances, they used the same fileserver as the one that was defined in the services agent too 🤔

and I don't think it's in the docs - we'll add that

Very welcome update, please use some highlighting for it too, it's so important for a complete understanding of how the remote execution works

Let me know if you do; would be nice to have control over that 😁

Right, but that's as defined in the services agent, which is not immediately transparent

Holy crap this was a light-bulb moment, is this listed somewhere in the docs?
It solves so much of my issues xD

I’ve tracked it down further, it seems the pigar utility does not apply any smart logic there.
The case we have is the following -

• We have a monorepo, but all modules/libs share a common namespace foo ; so e.g. working on module mod , we use from foo.mod import …
• This then looks for a module called foo , even though it’s just a namespace
• In the dist-info requirement, it seems any hyphen, dot, etc are swapped for an underscore, so our site-packages represents this as `foo_m...

As in here SuccessfulKoala55 - https://github.com/allegroai/clearml/blob/master/clearml/automation/cloud_driver.py#L169

Sorry, I misspoke, yes of course, the agents config file, not the queues

Exactly; the cloud instances (that are run with clearml-agent ) should have that clearml.conf + any changes specified in extra_clearml_configuration for the scaler

Yes exactly 👍 Good news.

Always great to find a bug! I'll make relevant SDK updates then.

I am indeed

Here's a full description of the layout:
Remote agent + entire ClearML docker suite running on host A. Host A also has a /data/clearml folder mounted to it and to it's docker containers (I've edited the docker-compose to add this mount point) Connect to host A, use StorageManager on the /data/clearml folder for some early troubles (e.g. long .list call) Use the same connection to run a task with execute_remotely and download_folder and see it crash :disapp...

So a normal config file with environment variables.

Actually TimelyPenguin76 I get only the following as a "preview" -- I thought the preview for an image would be... the image itself..?

Or some users that update their poetry.lock and some that update manually as they prefer to resolve on their own.

Is it CLEARML_CONFIG_FILE ? (I had to dig this from the GH code 😅 )

This also appears in the error log:

` StorageManager.download_folder(cache_dir.as_posix(), local_folder=".")
File "/home/idan/.clearml/venvs-builds/3.7/lib/python3.7/site-packages/clearml/storage/manager.py", line 278, in download_folder
for path in helper.list(prefix=remote_url):
File "/home/idan/.clearml/venvs-builds/3.7/lib/python3.7/site-packages/clearml/storage/helper.py", line 596, in list
res = self._driver.list_container_objects(self._container, ex_prefix=prefix)
Fi...

Will try!

Curious - is there a temporary changelog for 1.2.0? 😁 Always fun to poke at the upcoming features

EDIT: Wait, should the clearml RC be installed outside the venv for the agent as well?

Yes

That's fine as well - the code simply shows the name of the environment variable, not it's value, since that's taken directly from the agent listening to the services queue (and who's then running the scaler)

That's what I thought too, it should only look for the CLEARML_TASK_ID environment variable?

Couldn't the agent just come with the toml library? Kinda easy to load up and check if poetry is present then... 🤔

But yes it indeed used poetry correctly, though it would fail in other circumstances

I have selected the correct project indeed

Kinda, yes, and this has changed with 1.8.1.
The thing is that afaik currently ClearML does not officially support a remotely executed task to spawn more tasks, so we also have a small hack that marks the remote "master process" as a local task prior to anything else.