I'm afraid I don't really know, you could check out the user settings in the UI, top right corner on the user icon, maybe there is something there, but I didn't really find anything to that extent there myself.

For my use case I poll tasks.get_all which returns an object that contains the user ID: None

Thanks again 🙌 , I managed to get the user's name like so

from clearml.backend_api.session.client import APIClient

client = APIClient()
task = client.tasks.get...
user_response = client.session.send_request(
    "users", "get_by_id", json={"user": task.user}
).json()
user_name = user_response["data"]["user"]["name"]

I will then assume that there is a users.get_by_id as well? Fingers crossed! Thanks!
That said it would be great if they could add it to the documentation.

Maybe there's a way to pass some additional config stuffs to boto3 client? Perhaps, change the retry mode to this adaptive one? None

Hi @<1523701070390366208:profile|CostlyOstrich36> , mainly I'm looking for the user's name. I just want to get the Created By data from a task. I can get the user's ID from a task, I'm just unsure how to proceed with getting their name.

To be clear this mostly occurred because of probably slightly unintended use of clearml, but if you remember, previously I had trouble adding external files because of how many requests the .exists() and .get_metadata() calls were sending to the server. Now, there's a way to list files with a common prefix in a bucket in batches, so, less requests, more files. Sending these requests also returns the metadata, so essentially I skipped .add_external_files entirely and created ...

I have a rate limit of 600 requests per minute and I was running into it even with a single worker. And 503 is sort of only part of the issue, I suppose it's rather related, but, the bigger issue (could be caused by what causes the 503 though) is that it evidently is rejected by the host when it checks if the file exists and thus it throw that log message about not being able to list/find a file, however, the file is actually there, it just seems that the server refuses to respond (likely due...

@<1523701435869433856:profile|SmugDolphin23> Thanks for the response! Configuring those env vars seems to help, but even with the adaptive mode and 32 or 64 max attempts it still happens to fail at some point. Granted I was using 8 workers and uploading all 1.7M in a single call to add_external_files , but I would have expected the adaptive mode to, well, adapt to that, especially with that many attempts. Currently I'm back to sending them in batches, this time in batches of 50k files, s...

So, I monkey patched this fix into my code, however, that still did not help, so frankly I have just made it to try again within the _add_external_files method that I'm patching to just check again and list files again if it fails. I think that would be also something that you could add, retries into the _add_external_files method itself, so that it retries calling StorageManager.exists_file because that appears to be the main point of failure in this case. I mean, not a failure c...

@<1523701205467926528:profile|AgitatedDove14> my point is that it's not documented anywhere that I can find, so when requesting a 1000 entries and not getting those, it was assumed that there were no more entries to request, whereas in reality it was just capping out at 500 entries.

Also even using AWS_MAX_ATTEMPTS and AWS_RETRY_MODE did not help, I had set MAX_ATTEMPTS to 1024 and it still failed, so, I would assume that this boto3 configuration unfortunately doesn't really help, really at all? Maybe because the adaptive mode that I was using is still technically experimental so it wasn't really doing anything, I don't know, I just know that it fails

Also, this was not happening when adding fewer files, at the time of constantly running into this issue, I was trying to add 1.7M files in a single call to add_external_files , then I tried in batches of 100k, but still, it failed to list some of the files (that were actually there), now I'm running in batches of 10k which seems to work fine (at least for now), however, it is rather slow, it takes about 20 minutes to upload those 10k and I have about 170 batches.

It appears to be a twitter card embed, it will show up like this wherever that is supported. It's definitely something that can be fixed, it's probably not worthwhile, but it might help down the road, it at least would be more obvious what the link is pointing to without having to read the whole link.

Are you using page_size and page keys? page should be incremented by 1 regardless of page size, then just check if the response contains less than those 500 responses, then you can break out.

Why are you using query parameters? The documentation shows that you should be using the request body for all that. None