now it stopped working locally as well

now it stopped working locally as well

At least this is consistent 🙂
How so ? Is the "main" Task still running ?

yes, I don't know whether you have access to the backend, but just in case my experiment is this one:
ClearML results page: https://app.clear.ml/projects/45557a1ee1464631a9a18b0dcda4f682/experiments/01b77a220869442d80af42efce82c617/output/log

the situation is:
I can report a scalar by calling clearml_task.logger.report_scalar and it becomes immediately visible in the web ui

I can't make anything appear in the console part of the ui

I don't know whether you have access to the backend,

Creepy , no I do not 🙂

I can't make anything appear in the console part of the ui

clearml_task.logger.report_text("some text") should work

So it is the automagic that is not working.
Can you print the following before calling Both Task.debug_simulate_remote_task and Task.init , Notice you have to call Task.init
print(os.environ)

report_scalar works, report_text does not, this is very weird

yes, I am calling Task.init

report_text does not, this is very weird

Okay this seems to be the issue.
Just making sure the Task status is "running" and task.get_logger().report_text("something") does not report a thing ?
Do you see it on your screen?
Can you test without the "Task.debug_simulate_remote_task / init" ?

my code snippet
` from clearml import Task
import os

clearml_task_id = os.environ['CLEARML_TASK_ID']
Task.debug_simulate_remote_task(clearml_task_id)
clearml_task = Task.init(auto_connect_arg_parser=False, auto_resource_monitoring=False)
print(clearml_task.id)
clearml_task.logger.report_scalar(series='s', value='123', iteration=2, title='title')
clearml_task.logger.report_text("some text") `

task status is running in the webui

I see the text on my screen

console output:
ClearML results page: 01b77a220869442d80af42efce82c617 some text 2022-03-21 22:47:16,660 - clearml.Task - INFO - Waiting to finish uploads 2022-03-21 22:47:28,217 - clearml.Task - INFO - Finished uploading

Wait, how did you end up with
clearml_task_id = os.environ['CLEARML_TASK_ID']printing "01b77a220869442d80af42efce82c617" ?
This means you are running by an agent?!

no, I set the env variable CLEARML_TASK_ID myself

I can hardcode it into program if you want

no, I set the env variable CLEARML_TASK_ID myself

Do not, this is the issue 🙂
this is used internally and messing up the internal state, basically this is one of the signals for the SDK to know there is an agent taking care of things (for example logging the entire console output)
Use any other variable, for example MY_CLEARML_TASK_ID

wow

I guess we should have obfuscated the name better 😄

I could have been more inventive as well 😄

LOL, great minds and so on 🙂

but seriously, I am very thankful you were willing to spend so much time helping me, I am super impressed by your response time and helpfulness!

Thank you! 😊

Just to let you know, it now works (obviously) in the k8s setting as well.

but perhaps it is worth adding to the docs page a hint to avoid using the CLEARML_TASK_ID env variable, perhaps I am not the only one to ever try it

YEY 🎉 🎊

but perhaps it is worth adding to the docs page a hint to avoid using the CLEARML_TASK_ID env variable, perhaps I am not the only one to ever try it

Good idea, any thoughts on where ? I cannot find a trivial place to put these things

maybe another warning here? https://clear.ml/docs/latest/docs/references/sdk/task/

maybe not at the top but in the Task.init description