solved with Alon's help 1x1

ClearML Task: created new task id=bda6736172df497a83290b2927df28a2 ClearML results page: 2022-06-30 12:35:16,119 - clearml.Task - INFO - No repository found, storing script code instead ClearML pipeline page: `
2022-06-30 12:35:25,434 - clearml.automation.controller - INFO - Node "step_two" missing parent reference, adding: {'step_one'}
2022-06-30 12:35:25,436 - clearml.automation.controller - INFO - Node "step_three" missing parent reference, adding: {'step_two'}
2022-06-30 12:35...

ran clearml-agent daemon --queue rudolf --detached

TimelyPenguin76

thanks again... I have tried what you have suggested. It does inject the dir, but not cloning the whole content.

os.system("tree") from within demo.py pipeline step function:

└── test-demo-clearml.git ├── demo.py ├── __init__.py ├── local_dir └── step_one_task.pyvs.
from the actual tree (under ~/clearml_using_local_lib )
` tree
.
├── demo.py
├── init.py
└── local_dir
├── hello.py
├── init.py
└── pycache
└── __i...

now the question how to make the production stuff to work

from clearml import PipelineController

Task.add_requirements

how this is possible?

I think I am missing something

PIP Mode

By default, ClearML Agent works in PIP Mode, in which it uses

as the package manager. When ClearML runs, it will create a virtual environment (or reuse an existing one, see

). Task dependencies (Python packages) will be installed in the virtual environment.

how does it know what are the dependencies of a task?

the question how does ClearML know to create env and what files does it copy to the task
/homes/yossi/.clearml/venvs-builds/3.7/

the only way any computer could figure this out is by running it

Yep Correct

it's an undecidable problem

if a==True: import torch else: import tensorflow

we have a diff name for this file in the repo

I have a simple pipline that works

so it looks for requirement.txt?

nice! Thank you

consider this case:

or how can I add some libraries I'd like it to pip install in the new environment

there was an issue with the layout of my simple git example. So if you do the above it should work

thank you, guys! I think now it works! Amazing step-by-step support! This is sublime!

for future ref., this is a summary of what I have done:

create a project on clearml webUI create a queue on clearml webUI run an agent /homes/yosefhaie/.conda/envs/devops/bin/clearml-agent daemon --create-queue --queue <queue-name> use this test script:` from clearml import PipelineController

We will use the following function an independent pipeline component step

notice all package imports ins...

based on what reqeuirment.txt manifest?

Missing the last piece of the puzzle I believe.

would love to hear your thoughts

This is extremely helpful! I decided to go with pipeline from functions.

Everything looks great, but the tasks are pending. Am I missing some executor or something like that?

so it's not auto-generated. What's the spec of this conf file?

` from clearml import PipelineController

We will use the following function an independent pipeline component step

notice all package imports inside the function will be automatically logged as

required packages for the pipeline execution step

def step_one(pickle_data_url):
# make sure we have scikit-learn for this step, we need it to use to unpickle the object
import sklearn # noqa
import pickle
import pandas as pd
from clearml import StorageManager
pickle_da...

SweetBadger76 thanks,

The only thing I am not certain about is. What does agent means in ClearML world? Is the queue manager or the pipelien?