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

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.

it just solved. Thanks!

hi i have similar case, but can we scheduled new task here?

def trigger_task_func(task_id):
    print("trigger running...")
    try:
        previous_task = Task.get_task(task_id=task_id)
        print(previous_task.artifacts)
        try:
            fp = previous_task.artifacts['latest_condition'].get_local_copy()
            params = open_json(fp)
            last_index = params.get('last_index')
            day_n = params.get('iteration')
            print("Success Fetching", param...

sorry, but can clearml pipeline do this scenario?

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

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...

alright, will try thanks!

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

that so simple, thanks!

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...

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

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

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

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
...

Hi, CostlyOstrich36 , Sure!

i see okay thanks

    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 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...

I see, yeah my alternative solution right now is just to show the list of options outside on ClearML UI.

I’m running the agent in ‘pip’ mode. I need to fetch certain secret values, which would be best done using Python code. If I incorporate it into the script (repository), others could deduce the path to retrieve the environment or secret value. Storing the environment variables in the clearml.config isn’t very flexible either.

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

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

its auto to fileserver instance

i see thankyou!

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

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...

Hi @<1523701087100473344:profile|SuccessfulKoala55> ,
We have successfully created a sample for the migration. Here are the changes:

• URL for MongoDB from s3:// to azure://
• Elasticsearch as you suggested
  However, our main focus is that most of our production fetches models from ClearML, which are configured with s3:// URLs.

There is an issue/bug in the UI when downloading via Azure. Here are the details: None .