However, it's very interesting why ability to cache the step impacts artifacts behavior

From you log:

videos_df = StorageManager.download_file(videos_df)

Seems like "videos_df" is the DataFrame, why are you trying to download the DataFrame ? I would expect to try and download the pandas file, not a DataFrame object

Hi @<1544853721739956224:profile|QuizzicalFox36> ,
You can use StorageManager.download_file() to easily fetch files.
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@<1523701205467926528:profile|AgitatedDove14> I've checked my configs and it's all good, no / is missing

@<1523701205467926528:profile|AgitatedDove14> I could test it but I just recently fixed this issue by caching the previous step where this artifact is coming from. Now I'm getting the dataframe itself instead of link to artifact.
I don't know should I waste our time on this? However, it's very interesting why ability to cache the step impacts artifacts behavior

here's a log of the failing step

@<1544853721739956224:profile|QuizzicalFox36> , yes 🙂

http://<host>:8081/lp_veh_detect_train_pipeline/.pipelines/vids_pipe/detect_frames.4a80b274007d4e969b71dd03c69d504c/artifacts/videos_df/videos_df.csv.gz
(the <host> contains correct hostname)

Here is a log of the pipeline

What is the link you are seeing there?

Hmm, can you send the full log of the pipeline component that failed, because this should have worked
Also could you test it with the latest clearml python version (i.e. 1.10.2)

You can take a look at the pipeline examples here:
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Transferring artifacts between tasks is exactly what they do.

I didn't understand how to use it. Everything I've tried failed. Could you give me an example?

@<1523701205467926528:profile|AgitatedDove14> it is as expected - a dataframe

I suggest reading all of them, starting with pipeline from tasks 🙂

Where should I configure it?

What do you have in the artifacts of this task id: 4a80b274007d4e969b71dd03c69d504c

@<1523701070390366208:profile|CostlyOstrich36> Hi! Sorry for not responding for a long time. I couldn't reproduce my issue until today. So usually, I don't need to use Storage manager as I would get the contents of the parameter directly. However, for some reason once again instead of contents of dataframe I've got a PosixPath to the artifact or string describing dict with url to artifact. I've implemented if statement to catch such cases but again I can't access the artifact. I've tried StorageManager.download_file(str(artifacts_PosixPath)) and got same path as response or when accessing as string StorageManager.download_file(artifact_as_string_dict)) (I would get it if I pass .artifacts.df), got error ValueError: Requested path does not exist: /home/monika_kazlauskaite/.clearml/venvs-builds.1/3.8/code/{'name': 'videos_df', 'size': 1357, 'type': 'pandas', 'mode': <ArtifactModeEnum.output: 'output'>, 'url': 'http:/11.11.11.11:8081/lp_veh_detect_train_pipeline/.pipelines/vids_pipe/detect_frames.4a80b274007d4e969b71dd03c69d504c/artifacts/videos_df/videos_df.csv.gz',

@<1523701205467926528:profile|AgitatedDove14> Hi, I have no idea as I don't upload the file to the artifacts myself. I return df from function that is in previous pipeline step and then pass it as a parameter for this step

Hi @<1544853721739956224:profile|QuizzicalFox36>

http:/34.67.35.46:8081/...

notice there is a / missing in the link, how is that possible? it should be http://

I think your "files_server" is misconfigured somewhere, I cannot explain how you ended up with this broken link...
Check the clearml.conf on the machines or the env vars ?

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is it in clearml.conf api.files_server?

@<1544853721739956224:profile|QuizzicalFox36> , are you running the steps from the machine who's config you checked?

Yes. I've also checked configs in all of my machines just in case

(you can find it in the pipeline component page)