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 see okay thanks

it seems if i access with my dns cannot see
and if access with ip address can see

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

the current my solution is upload my config to s3, and the pipeline will download it and read it when execute. but its decrase flexiblity.

Correct! Thanks AppetizingMouse58 !

Thanks, its works!

`

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...

also i found, i cannot delete project, even the project is show empty experiment.

Hi AgitatedDove14 ,
right now i can delete, i set configuration to see hidden project/file on UI, and it show task related (e.g pipeline, dataset) on that project. but yeah, every time i make project with subproject inside, there is [undefined] there. i create project using code and UI, the result is same.

this is my docker-compose conf. i change all port 8XXX to 7XXX nad also change /opt/cleaml to /mnt/hdd_2/clearml.
` version: "3.6"
services:

apiserver:
command:
- apiserver
...

i set like this: for init Task Scheduler

    task_scheduler = TaskScheduler(
        sync_frequency_minutes=5,
        force_create_task_name='controller_feedback',
        force_create_task_project='Automation/Controller',

    )

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?

` {"meta":{"id":"17c6e609ace54bf8bfdf3113c39fd470","trx":"17c6e609ace54bf8bfdf3113c39fd470","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"},"name":"ex-1","basename":"ex-1","description":"","created":"20...

Thanks guys, i will try to learn that first. i will updates when executing these ideas. @<1523701087100473344:profile|SuccessfulKoala55> @<1590514584836378624:profile|AmiableSeaturtle81> 🙌

Hi @<1523701070390366208:profile|CostlyOstrich36>
i attach for complete log

here my structure:

.
├── app
│   ├── backend
│   └── frontend
├── assets
│   ├── demo-app-sample.png
│   └── workflow.png
├── config
│   ├── clearml.conf
│   ├── list_models.py
│   ├── list_optimizer.py
│   ├── __pycache__
│   └── train_config.py
├── docker
│   ├── Dockerfile
│   ├── Dockerfile.app
│   ├── requirements.prod.txt
│   ├── requirements.train.txt
│   └── requirements.txt
├── lightning_logs
├── Mak...

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

yeah, we cannot do anything to that [undefined]. i got this when i click that.

i feel pain to make it as form if so much varible want to changes.

Hi @<1523701070390366208:profile|CostlyOstrich36> , thanks for response, sorry for late replay,

this is my configuration in yaml, i facing difficulty when there is params in list. somehow, form to display bunch list not easy to see. do you have suggestion? Thanks!

download-data:
  dataset_train:
  - 

  - 

  - 

  dataset_test:
  - 

  - 

  - 

train:
  data:
    batch: 4
    input_size: 224
    split:
      t...

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

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

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! 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...

i running this on 2.35 am, but the job not launching after 2.40 am

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]...

remove this params will solve use_current_task=True,

sorry, but can clearml pipeline do this scenario?

projects.get_all_ex API call

` {"meta":{"id":"369cbeafb3ec4b36ae7c07e781be5941","trx":"369cbeafb3ec4b36ae7c07e781be5941","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":[{"company":{"id":"d1bd92a3b039400cbafc60a7a5b1e52b"},"created":"2022-09-26T01:33:28.216000+00:00","id":"5664bd88f48d4868a80805f6d824d5a9","name":"ex-1/sub-ex-1","user":{"id":"a174c4e36b0446a7b3b5dd1ff5261...