removing it doesnt fix the problem

I do have write permissions

So from our IT guys i now know that
"s3" part of url is subdomain, we use it in all other libs like boto3 and cloudpathlib, never had any problems
This is where the crash happens inside the clearml Task

Adding bucket in clearml.conf causes the same error: clearml.storage - ERROR - Failed uploading: Could not connect to the endpoint URL: " None "


![image](https://clearml-web-assets.s3.amazonaws.com/scoold/images/TT...

Specifying it like this, gets me different error:

Exception has occurred: ValueError

• Insufficient permissions (delete failed) for None
  botocore.exceptions.ClientError: An error occurred (IllegalLocationConstraintException) when calling the DeleteObject operation: The me-south-1 location constraint is incompatible for the region specific endpoint this request was sent to.

During handling of the above exception, another exception occurred:

File "/home/ma...

I cant get the conf credentials to work
Specifying it like this gives me:
Exception has occurred: ValueError
Could not get access credentials for ' None ' , check configuration file ~/clearml.conf

File is written

ok, slight update. It seems like artifacts are uploading now to bucket. Maybe my folder explorer used old cache or something.
However, reported images are uploaded to fileserver instead of s3

here is the script im using to test things. Thanks

also, if I try to set the url to None it auto replaces it with None : None

It looks like im moving forward

Setting url in clearml.conf without "s3" as suggested works (But I dont add port ther, not sure if it breaks something, we dont have a port)
host: " our-host.com "

Then in test_task.py
task: clearml.Task = clearml.Task.init(
project_name="project",
task_name="task",
output_uri=" None ",
)

I think connection is created
What im getting now is bucket error, i suppose I have to specify it so...

We dont need a port
"s3" is part of url that is configured on our routers, without it we cannot connect

unable to see the images with that link tho

@<1523701070390366208:profile|CostlyOstrich36> Still unable to understand what im doing wrong.
We have self hosted S3 Ceph storage server
Setting my config like this breaks task.init

good morning, I tried the script you provided and Im getting somewhere

ClearML team should really write up some tutorial about this. I see this question weekly now. The short answer on what we did when we migrated servers was to wite a python script that takes data from clearml mongodb(stores tasks and datasets) and elastic (stores debug image urls, logs, scalars) and migrate them to other clearml instance databases

I purged all docker images and it still doesnt seem right
I see no side panel and it doesnt ask for login name

it looks like problem is the host field, whenever I add it I get:
2024-01-22 13:27:16,489 - clearml.storage - ERROR - Failed creating storage object None Reason: Missing key and secret for S3 storage access ( None )

Here are my clearml versions and elastisearch taking up 50GB

from docker inspect I can see that allegorai/clearml uses:
"CLEARML_SERVER_VERSION=1.11.0",
"CLEARML_SERVER_BUILD=373"

Image hash:ed05631045c4237f59ad48f477e06dd72274ab67e70d2f9adc489431d1ce75d7

I do notice another strange thing
Agent-services is down because It has no API key to clearm

@<1523701087100473344:profile|SuccessfulKoala55> Anything on this?

elastisearch also takes like 15GB of ram

ok, is dataset path stored in mongo?
Im unable to find it in elasticsearch (debug images were here)

ok, I found it.
Are S3 links supported?

Elaseticsearch spazzing out

@<1523701070390366208:profile|CostlyOstrich36> It it still needed since Eugene thinks there is a bug?

When I look at LinkEntry object, link property is correct, no duplicates. Its relative_path thats duped and also key name in _dataset_link_entries

Im doing all of this because there isnt (or im not aware of) any good way understand what datasets are on workers