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

it just solved. Thanks!

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 @<1523701070390366208:profile|CostlyOstrich36> ,
i use vpn and set location in US still cannot access too.
when i set location to Germany, it can access.
any idea to solve this from user side?

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

Thanks for response.

from clearml import Task
from clearml.automation import TaskScheduler
from datetime import timedelta, datetime

def my_task():
    task = Task.init(...)
    # do somthinge
    print("do something")
    # sleep 10
    condition = True
    if condition:
        # i want to trigger run another task by 
        # set some config in task, but execute tomorrow/sometime
        # not directly run at the time.
        # here i use
        task_id = task.id 
        task.cl...

Hi AppetizingMouse58 , this is from My Work View
` # Payload
{"meta":{"id":"4ff606b50768402495674f4a2b37bdf4","trx":"4ff606b50768402495674f4a2b37bdf4","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":[{"id":"75d04598197a445ebef533814022c58d","company":{"id":"d1bd92a3b039400cbafc60a7a5b1e52b"},"user":{"id":"a174c4e36b0446a7b3b5dd1ff5261962"},...

my case more like there is a task/process that running but somehow its takes too long to completed. it can be because connection issue forgot to put connection timeout, a problem connection database, etc that makes status still running, but its traped in a situation like that.

so i want to force shutdown a task to failed if that happen

Hi @<1523701205467926528:profile|AgitatedDove14> , Thanks for rresponse!
this my simple code to test scheduler

import datetime
from clearml.automation import TaskScheduler
  
def test_make():
    print('test running', datetime.datetime.now())

if __name__ == '__main__':
    task_scheduler = TaskScheduler(
        sync_frequency_minutes=30,
        force_create_task_name='controller_feedback',
        force_create_task_project='Automation/Controller',
    )

    print('\n[utc_timestamp]...

hmm i want to make custom function that need credential registed on clearml.conf, like aws s3.
is clearml-agent have clearml.conf? where the path for that? i just test it, running using clearml-agent, but not found /root/clearml.conf

i am using dictionary, more convinient for me and can categorize each params.
Thanks, hope that feature will ready soon!

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

remove this params will solve use_current_task=True,

yup,
example just need choosing between SGD, Adam, AdamW on optimizer field

Hi SmugDolphin23 , i have try 1.8.4rc1, and yeah its working! Thanks!

i see thanks for the answer, i will read that reference.

AgitatedDove14 , yes. i tried 3 times, and it always happen.

it seems i forgot using clearml-agent init.
i follow this way: https://clear.ml/docs/latest/docs/guides/ide/google_colab/

`

payload

{"id":["75d04598197a445ebef533814022c58d"],"include_stats":true,"check_own_contents":true,"active_users":["a174c4e36b0446a7b3b5dd1ff5261962"],"search_hidden":true}

Response

{"meta":{"id":"8d18a89599db4d899ab40959a39970b3","trx":"8d18a89599db4d899ab40959a39970b3","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":[{"id":"75d0459819...

alright, will try thanks!

yes, so far i know, if we want to upload dataset on clearml, we need provide local_path to data, then clearml will upload to the platform.

my data not on local, but s3 bucket.
is there a way to point s3 url ? my currently workflow is download my data from s3 bucket to local, then upload to clearml.

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.

Hi AppetizingMouse58 , this is when in Team's Work View :

`

Payload

{"id":["75d04598197a445ebef533814022c58d"],"include_stats":true,"check_own_contents":true,"search_hidden":true}

Response

{"meta":{"id":"c4ee9cb1c4594040bd0b44499d5e9970","trx":"c4ee9cb1c4594040bd0b44499d5e9970","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":[{"id":"7...