CostlyOstrich36 I'm using WebApp: 1.3.1-169 • Server: 1.3.1-169 • API: 2.17 Thanks.

reproduced error likes below

Which resource I have to inspect?

I just use clearml-init command and paste api key from localhost webserver like below. Is it normal that there's no files_server key in api dict?
api { web_server: api_server: credentials { "access_key" = "my key" "secret_key" = "my key" } }

It says some files not deleted on several experiments. But the files also not deleted on project which error not occurred.

How can I check SDK version?

I changed my directory to clearml-data installed and just run the same command with sudo ./clearml-data and it works

Error: Insufficient permissions for //:8081/files_server: http://localhost:8081 This is my whole output.
BTW, Is there a possibility this problem have related to access permission of /opt/clearml folder?

What is desired output when I typed ls -al at clearml folder?

The weird thing is after I run clearml-data create ... , I can check the project and dataset are created in draft mode withCLI spit out error above

Thank you for supporting Jake

In this docs step #9 , https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac

It says "Grant access to the Dockers, depending upon the operating system."

Even I uploaded files name with 001 to 010, only 004, 005, 010 exist on fileserver.

SuccessfulKoala55 created file run after clearml-init on cli

SuccessfulKoala55 yep

SuccessfulKoala55 Thanks a lot. problem solved. Have a good day!

I just added manually to config file and it works fine

I'm using ubuntu 18.04, and docker command was docker-compose -f /opt/clearml/docker-compose.yml up -d as described at docs.

Name: clearml Version: 1.1.6 Summary: ClearML - Auto-Magical Experiment Manager, Version Control, and MLOps for AI Home-page: Author: Allegroai Author-email: clearml@allegro.ai License: Apache License 2.0 Location: /home/junpyo/.conda/envs/minikube/lib/python3.8/site-packages Requires: psutil, numpy, jsonschema, requests, urllib3, PyYAML, python-dateutil, future, attrs, pathlib2, Pillow, furl, pyjwt, six, pyparsing Required-by:

It's 1.1.6

http://<IP>:8081/ranix_pp_result/2022%252F04%252F04.29adfa8dbfa24489a0d9e9[…]tifacts/data/dataset.29adfa8dbfa24489a0d9e959d947b971.zip

also, all dataset don't have any dependency(parent) on other dataset

TimelyPenguin76 I think http://clear.ml webserver is down. I can't access webserver nor clearml API

` >>> d = Dataset.get(dataset_name="Anonymous task (user@beryl 2022-03-23 04:05:19)", dataset_project="test_project").get_local
_copy()
Retrying (Retry(total=2, connect=2, read=5, redirect=5, status=None)) after connection broken by 'NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f0c23e4b490>: Failed to establish a new connection: [Errno 111] Connection refused')': /test_project/Anonymous%20task%20%28user%2540beryl%202022-03-23%2004%253A05%253A19%29.c05641c2e1c74389b471fb...

Is this bug resolved in latest version?

TimelyPenguin76 It's working now. Thx for your support.

SuccessfulKoala55 OMG I solved problem. the cause was the permission of the clearml-data

I'm not sure about how airflow workers run. What I trying to do is upload "different files" to "one clearrml-dataset" in parallel. My dag looks like below, each task from "transform_group " execute clearml-related dataset tasks. Sorry for my bad explanation

Also I tired to put fileserver information to configuration file, but nothing changed

SuccessfulKoala55

The dataset file URL is set on upload and stored on the server

This might be a reason. I think server IP in machine A is set to "localhost:port"
Then, after I change IP "localhost" to "<server IP>" in server A and re upload Dataset, Is it accessible remotely?