only clearml probably

ok so, idk why it helped, but setting base_task_id
instead of base_task_name in the pipe.add_step
function, seems to overcome this

i updated to 1.10
i am uploading the model inside the main() function, using this code:

model_path = model_name + '.pkl'
with open(model_path, "wb") as f:
    pickle.dump(prophet_model, f)

output_model.update_weights(weights_filename=model_path, iteration=0)

i don't know why the server crashed (it is not self hosted)

i need to read and write, i do have access from genesis autoscaler when i set off all firewall rules. but this is not recommend by microsoft.

I need to add specific firewall rules for the genesis machines, to allow them to authorize to my azure blob storage

plus, is there an option to configure the agent configuration? for example we are using:

force_git_root_python_path: true

can we do it there as well?

@<1523701070390366208:profile|CostlyOstrich36>
By the way, how do i set up a shell script?
i don't see an option to do it from the UI

Hey @<1523701087100473344:profile|SuccessfulKoala55> , thanks for the quick response
I'm not sure I understand, but that might just be my lack of knowledge, to clarify:

i am running the task remotely on a worker with the --docker flag.
how can i add the root folder to PYTHONPATH?
as far as I understand, clearml is creating a new venv inside this docker, with its own python executeable, (which i don't have access to in advance)

basicaly now i understand that I do need to define a PYTHONPATH inside my dockerimage
my only problem is that the path depends on the clearml worker
for example, i see that the current path is:
File "/root/.clearml/venvs-builds/3.10/task_repository/palmers.git

is there a way for me to know that dynamiclly?

yes jake 🙂 thank you 🙂

@<1523701087100473344:profile|SuccessfulKoala55> hey jake, in case you've missed my answer
am i making sense?