clearml is awsome ❤ 🤩

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',

    )

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

i see thankyou!

sorry, but can clearml pipeline do this scenario?

remove this params will solve use_current_task=True,

i see okay thanks

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 just solved. Thanks!

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...

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...

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

i attach train.py here,
and to run it i do python src/train.py

Hi @<1523701070390366208:profile|CostlyOstrich36> , just want to update,
this is solve by

• remove

-f 

2. change Task.force_requirements_env_freeze(False, req_path) -> Task.add_requirements(req_path)
3. change my clearml-agent settings

`

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...

Hi, CostlyOstrich36 , Sure!

    from src.net import Classifier
ModuleNotFoundError: No module named 'src'

hmm yeah i think, this is not possible to share a whole script here.

hi @<1523701070390366208:profile|CostlyOstrich36> , i mean uv this None

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.

wow, so cool!
Thanks, really great tools!

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

Hi @<1523701994743664640:profile|AppetizingMouse58> , i have update on #228. Thanks!

that so simple, thanks!