i want to download model before i run the my inference code. i can actually make simple script using cleaml-sdk before that, but i just look for CLI based solution.

Thanks, its works!

Thanks! i just prove it can run in next day, but not for the same day. i hope can run in same day too.

Syncing scheduler
Waiting for next run, sleeping for 5.13 minutes, until next sync.
Launching job: ScheduleJob(name='fetch feedback', base_task_id='', base_function=<function test_make at 0x7f91fd123d90>, queue=None, target_project='Automation/testing', single_instance=False, task_parameters={}, task_overrides={}, clone_task=True, _executed_instances=None, execution_limit_hours=None, r...

that so simple, thanks!

https://github.com/allegroai/clearml/issues/865#issue-1517283786

Hi @<1523701070390366208:profile|CostlyOstrich36> , i think can try this to run it as standalone:

you can spesificly use Task.add_requirements and pointing to path requirement.txt

None

wow, so cool!
Thanks, really great tools!

{"meta":{"id":"37a8d7b26c534f9da20682801f9bd2bd","trx":"37a8d7b26c534f9da20682801f9bd2bd","endpoint":{"name":"projects.get_all_ex","requested_version":"2.20","actual_version":"1.0"},"result_code":200,"result_subcode":0,"result_msg":"OK","error_stack":"","error_data":{}},"data":{"projects":[]}}

yeah, it seems i will try option 2 that you mentioned.
i upload my full my configuration, and when done using google colab my configuration will gone too.

nope, still looking away to set AWS S3 secret_key without doing clearml-agent init

Hi, CostlyOstrich36 , Sure!

Hi, @<1523701070390366208:profile|CostlyOstrich36> ,yes! correct! how to achive that? it will save my storage.

clearml-agent, if you looking for clearml.conf, the place is '/root/default_clearml.conf'

Hi AgitatedDove14 , is the Dataset.get will take all child too?

clearml is awsome ❤ 🤩

it seems your clearml-agent didn't setup the right git account. are you sure setup on your agent conf?

remove this params will solve use_current_task=True,

i see,
thanks for clarify. i just want to find other solutions to storing secret value. rightnow i just storing secret value on env in clearml.conf in my workers. but it will complicated if there is new value, i need update workers conf and redeploy workers.

Hi @<1523701087100473344:profile|SuccessfulKoala55> , Thanks for your response.

I'm not entirely sure about the use of CLEARML_ENV since I haven't interacted with it before. Could you guide me on what I should set as its value?

Previously, the system was running smoothly. However, I've run into some issues after making certain configuration changes to modify the server permissions. Specifically, I'm curious if these changes might have influenced the agent's permission to access certain...

wow, okay, i think will move all logs/plot/artifacs to my storage s3. Thanks! really helpful!

do you mean i can change?

files_server: 

 -> 

hi @<1523701087100473344:profile|SuccessfulKoala55> , it solved! thanks for information CLEARML_ENV ! I just accidently write environment varible CLEARML_ENV on every clearml-agent.conf. 🎉

Hi @<1523701070390366208:profile|CostlyOstrich36>
i mean we can do a form dropdown for others configuration like hyperparameters (task.connect)