Ok, it works i need to specify :80 also in the output_uri from my python file !

I saw this part of the configuration file but i don't know exactly which key is used as mount point for configuration file ?

To your point of view, it may be related with the sdk client that triggers the upload ? with urllib request ?

The addresses seems strange, is this the hostname?

I use the nip services to have subdomains: clearml.domain api.domain and file.domain that points to the same host.

My configuration.json is { "fileBaseUrl": " http://file.10.68.0.250.nip.io "}, but HTTP.FILE_BASE_URL still remains undefined . Something is missing ?

No, no "delete" request 😞 Is there a way to put a breakpoint just before ?

i tried so far but it was not so easy, because there is a python executable "update_from_env" that empties the configuration.json file. So i create a file in /mnt/external_files/configs and my configuration.json was read.

My artifacts are now deleted but the directories where the artifacts are stored are not deleted.

What i don't understant is the list of artifacts that were not deleted

sudo docker logs clearml-fileserver

This gives no info at all. May be i should increase the log level to debug. The only message i got is about "werkzeug" the default server module of flash that shouldn't be use as production deployement (by the way, why not use gunicorn as entrypoint in docker-compose ?)

I take a look a src/app/webapp-common/shared/entity-page/entity-delete/base-delete-dialog.effects.ts.

I see that an error is raised in the mergeMap at line 125, but i'm not familiar enough with Typescript to find why.

It seems that i should define this variable by the use of an environment variable in ConfigurationService.globalEnvironment.

When i deleted the Experiment, i obtain a the following window :

No particular information in console( no error), no network error too.

But after all these modifications, i succeeded in using the clearml-agent. 👍 Great job ! Thank to the clearml team.

Yes, i even got a "upload finished" message et the whole process goes to end.

In docker-compose, image was latest allegroai/clearml:latest when i pull docker images. When i launch it, after installation i have in WebApp following informations : "WebApp: 1.3.1-169 • Server: 1.3.1-169 • API: 2.17"

I don't undestand why after specifying /root/clearml.conf , a copy is required to /root/default_clearml.conf . I modified in the code this copy by one that takes a user mounting point and copies it to home directory ~/clearml.conf

My files (fs) are deleted but i have the same issue as reported by SuperiorPanda77 , with some undefined value that is said not to be deleted. I guess that as my command deleteFileServerSources works but exit with some strange return value, other commands in the row addFaieldDeletedFiles and deleteProjectFromRoot are not executed (file src/app/webapp-common/shared/entity-page/entity-delete/base-delete-dialog.effects.ts )

I define the HOST ( ENDPOINT) like this but it doesn't change anything

As far i know, a server get a SIG_PIPE event on a socket when a client died too soon or is closed by user, but i don't know who get the broken pipe ? Is it the clearml file server ( who masters the upload, i guess) ? Is it due to my minio server ? Who is the client that died before upload is finished ?

Hello. I think an Issue should at least be opened. Modifications in my code need to be generalized before creating a pull request.

Files are stored on the same box where the docker is running. And there is a mounting point between file server docker and the host itself.

But i don't want to create a new dataset, my dataset exists and has already been downloaded by a previous task.

for clearml package i use the 1.4.1.

I was unable to define FILE_BASE_URL inside the docker container. I modify the HTTP constant in app.constants.ts with hard code values, compile the webapp again (npm) and replace it in my docker container and now it works....

As my clearml server is run using docker, i have no idea where http://clearml.10.68.0.250.nip.io/projects/300ec77013504f51a7f295226c3f7e40/experiments/5418cf58b64f425a9a17fbd4af6cfee8/output/log is exactly stored.

By default, i put nothing in the task but when i use a ClearMLSaver like this
ClearMLSaver(logger, output_uri=" ")where clearml is my bucket.

i use a proxy and the port is 80, i need to write it ?

I tried to modify all docker_internal_mounts point but the mount point for clearm.conf file still remains the same. May be it is defined on server side ?