Just wanted to add that the above error api_server is misconfigured seems to happen regardless of whether I modify the standard docker_compose.yml

Hi @<1722786133810614272:profile|LazyClams7> where exactly do you see the error? Can you send the complete logs?

Also, how are you configuring clearml.conf inside your container?

@<1523701087100473344:profile|SuccessfulKoala55> I see the api_server is misconfigured error in the logs for the clearml-fileserver . Unfortunately I can't copy and paste the logs for policy reasons, but I'll paraphrase them below:

• config files loaded from /opt/clearml/fileserver
• [ERROR] [werkzeug] (ip address) code 400, message bad request version
• urllib3.connectionpool Retrying after connection broken by NewConnectionError
• Traceback: urllib3/connection.py: ConnectionRefusedError [Errno 111] Connection refused- During the handling of above exception, another error occured: MaxRetryError- During the handling of above exception: ConnectionError: HTTPConnectionPool(host='apiserver', port=8008): Max retries exceeded with url: /auth.login- During the handling of above exception: ValueError : Connection Error: it seems api_server is misconfigured

I used clearml-init to configure the clearml.conf . This used the following:

• api_server : None
• web_server: None
• files_server : NoneJust to see if it would help, I tried changing localhost to host.docker.internal but it didn't help.

I also tried using the ip address of the files_server container, but that didn't seem to make a difference

Hi @<1722786133810614272:profile|LazyClams7> , if you see api_server is misconfigured error in the logs for the clearml-fileserver , this basically means the filesserver can't reach the apiserver (it needs to), this doesn't seem to be a client issue. The filessererver tried to reach the apiserver by default using the None endpoint, which should be available inside the docker backend network - you can try to exec into the fileserver container and see if curl to that address works

@<1523701087100473344:profile|SuccessfulKoala55> I did as you suggested: from the fileserver container, I was able to authenticate with the API server and receive a token.
however, from my development container if I do
clearml-data add --files Affairs.csv
I still get a connetion refused error.

Perhaps your container is not part of the correct docker networks as the fileserver contains is?

@<1523701087100473344:profile|SuccessfulKoala55> right now it is configured with:

network_mode: service:apiserver

in docker-compose-win-10.yml . I have also tried:

networks:
   - frontend
   - backend

But with this configuration, I was not even able to communicate with the apiserver.
Correction: I am able to authenticate with the api server with both configurations. However, with the first configuration, I can use the task cli to do for instance:

clearml-task --project examples --name remote_test --repo 

 --branch master --script /webinar-0620/keras_mnist.py --args batch_size=64 epochs=1 --queue default

However, this does not work with the second configuration (I get a connection refused error)

So the first configuration works?

@<1523701087100473344:profile|SuccessfulKoala55> No, I am not able to upload a file with either configuration. However, the first configuration works better in that I can use the task CLI.