Oh if this is the case you can probably do
` import os
import subprocess
from clearml import Task
from clearml.backend_api.session.client import APIClient

client = APIClient()

queue_ids = client.queues.get_all(name="queue_name_here")

while True:
result = client.queues.get_next_task(queue=queue_ids[0].id)
if not result or not result.entry:
sleep(5)
continue
task_id = result.entry.task
client.tasks.started(task=task_id)
env = dict(**os.environ)
env['CLEARML_TASK_ID'] = task_id
env['CLEARML_LOG_TASK_TO_BACKEND'] = '1'
env['CLEARML_SIMULATE_REMOTE_TASK'] = '1'
p = subprocess.Popen(args=["python", "my_script_here.py"], env=env)
p.wait() Explanation: This will pop a Task from queue_name_here ` , mark it as started, ans call the python process with two magic environment variables telling it (1) that it should simulate an agent (2) which Task it is running (i.e. the Task ID)
ExcitedFish86 wdyt?