I would just add git+ None to your requirements (either in the requirements.txt or even better as part of the pipeline/component where you also specify the repo to be used)
The agent will automatically push the crednetilas when it installs the repo as wheel.
wdyt?
btw: you might also get away with adding -e . into the requirements.txt (but you will need to test that one)
Thanks @<1523701205467926528:profile|AgitatedDove14> restarting the agents did the trick!
The extra_index_url is not even showing..
I added the following to the clearml.conf file
agent {
package_manager: {
# supported options: pip, conda, poetry
type: pip,
extra_index_url: ["my_url"],
},
}
For some reason the changes were not reflected, here are the logs from the agent:
agent.package_manager.type = pip
agent.package_manager.pip_version.0 = <20.2 ; python_version < '3.10'
agent.package_manager.pip_version.1 = <22.3 ; python_version >\= '3.10'
agent.package_manager.system_site_packages = false
agent.package_manager.force_upgrade = false
agent.package_manager.conda_channels.0 = pytorch
agent.package_manager.conda_channels.1 = conda-forge
agent.package_manager.conda_channels.2 = defaults
agent.package_manager.priority_optional_packages.0 = pygobject
agent.package_manager.torch_nightly = false
agent.package_manager.poetry_files_from_repo_working_dir = false
@<1523701205467926528:profile|AgitatedDove14> So I was able to get it to pull the package by defining packages= None
The second problem that I am running into now, is that one of the dependencies in the package is actually hosted in a private repo.
I tried getting around it by defining the environment PIP_INDEX_URL and passing it using log_os_environments in the clearml.conf and I am now getting this message:
md-ap-feature-engineering/.venv/lib/python3.11/site-packages/clearml_agent/external/requirements_parser/parser.py:49: UserWarning: Private repos not supported. Skipping.
warnings.warn('Private repos not supported. Skipping.')
How do you handle private repos in clearml for packages?
Hi @<1523701205467926528:profile|AgitatedDove14> ,
Thank you for your prompt response.
I am using the functional pipeline API to create the steps. Where each step calls a function. My functions are stored in the files under the ap_pipeline directory ( filters.py , features.py , etc..)
These are packaged as part of this repo.
The modules are imported inside of the clearml_pipeline.py so it would look something like:
from ap_pipeline.features import func1, func2 ....
This works locally since ap_pipeline is installed using pip install -e . Which installs the repo as an editable install.
The pipeline installs all the dependencies except the ap_pipeline (this repo) which then causes the pipeline to fail as it will say that it can't find the module ap_pipeline
I set my local laptop as an agent for testing purposes. I run the code on my laptop, it gets sent to the server which sends it back to my laptop. So the conf file is technically on the worker right?
the agent does not auto-refresh the configuration, after a conf file change you should restart the agent, after that it should present the new configuration when loading
The second problem that I am running into now, is that one of the dependencies in the package is actually hosted in a private repo.
Add your private repo to the extra index section in the clearml.conf:
None
Hi @<1523701168822292480:profile|ExuberantBat52>
I am trying to execute a pipeline remotely,
How are you creating your pipeline? and are you referring to an issue with the pipeline logic or is it a component that needs that repo installed ?
I added the following to the
clearml.conf
file
the conf file that is on the worker machine ?