were you able to confirm in the file server whether the files were actually deleted and the UI error message is wrong?

MotionlessCoral18 if you build the UI, instead of overriding stuff with hard coded values, you can set fileBaseUrl in src/environments/environment.prod.ts

I'll need to check how to configure the UI for this type of deployment as the UI has just a few configurations it can guess the files server URL from.

and did you see any error in the browser console (F12)

which port are you running clearml of?

what version of ClearML are you using?

if you open the help menu on the top and click "clearml python package setup" then "create new credentials"
do you see the right value for files_server in the suggested config?

Hi,

you can manually override this configuration by adding or updating (if you have 1) the configuration.json file next to the index.html
with fileBaseUrl

the UI should then send delete requests to the fileserver, do you see those in the network?

it might be an issue in the UI due to this unconventional address or network settings, before you try this again, can you open the browser devtools?
the console and network tabs should give us more insight

you can take a look at src/app/webapp-common/shared/entity-page/entity-delete/base-delete-dialog.effects.ts using the devtools debugger

in your setup you should probably configure docker webserver container to mount a config file to /usr/share/nginx/html/configuration.json

logically that doesn't make sense, iteration is a different scale then time. these values are indeed hard coded

port forwarding is an unconventional setup, and inconvenient 1. you should configure a public address.
https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_aws_ec2_ami has some info and links.

for a more secure option I'd follow this guide to create a user/password environment https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_config/#web-login-authentication
and use AWS ELB to securely expose the 3 services though it.
you can then configure your client wit...

can you please make sure the configuration got to the right place and see if you have the expected value for fileBaseUrl in

clearml.mydoamin/configuration.json

Hi Ed,
when you try to view a resource from azure on the UI (debug samples), a popup will appear, asking for credentials, in this case azure query string. it will fill the rest of the fields you see in profile automatically.

sorry for the delay ResponsiveRabbit81
unlike AWS where the UI would rely on key and secret to sign a S3 resource, in google storage, the UI expects a GS cookie, which is available after signing in to GS. are you signed in to GS in both Firefox and Chrome and can view the resource in GS console on both browsers?

Hi JitteryCoyote63 ,
which version of http://clear.ml are you using?

credentials moved to workspace tab, but I get the feeling your API server is down

Thank you Ophir, managed to reproduce on our environment. we'll work on a fix.

@<1792727007507779584:profile|HollowKangaroo53> which version of clearml server are you using?

just wanted to update, the root cause is python JSON dump, creating non standard JSON strings. a fix will be released soon.

Thanks JitteryCoyote63 , we'll try to find the time for the effort to improve this behavior.
in the mean time, maybe open a ticket here https://github.com/allegroai/clearml-web/issues so maybe someone from the community might help.

Hi @<1523701977094033408:profile|FriendlyElk26> , it indeed seems the last build is missing this fix.
we'll try to find the time to rebuild and release a new one.

Hi @<1572757572547514368:profile|GiddySnake50> , where is this asset saved? fileserver? S3? GS?

@<1572757572547514368:profile|GiddySnake50> do debug sample images stored in that bucket show up correctly on the debug samples tab?
I'm trying to understand if S3 assets signing works correctly.

can you open devtools (F12) and look for the events.debug_images response in the network tab?

there is no limitation reporting the same images on different iterations. what we think might be the issue that multiple images are reported with the same iteration + metric + variant, using report_image
can this be the case?