Hey Alon. Thanks for the response. I'm not quite sure I follow your answer. Where do I add this git+ssh and how?

Never mind. I think I figured it out. Thanks for your help 🙂

Here is the error message from the console
Collecting git+ssh://****@github.com/15gifts/py-db.git Cloning ssh://****@github.com/15gifts/py-db.git to /tmp/pip-req-build-xai2xts_ Running command git clone -q 'ssh://****@github.com/15gifts/py-db.git' /tmp/pip-req-build-xai2xts_ ERROR: Repository not found. fatal: Could not read from remote repository. Please make sure you have the correct access rights and the repository exists.

Rightttttt I think I am starting to understanding the architecture now lol. Thank you so much for your help!

Hey guys. Installing from the private repo is still failing. We have added the relevant deploy key to the repo, but I still get an error when trying to clone and install. Any ideas?

This is what I see under the 'Installed Packages' section
` # Python 3.8.5 (default, Sep 4 2020, 02:22:02) [Clang 10.0.0 ]
azure_storage_blob == 12.6.0
boto3 == 1.11.17
clearml == 0.17.4
git+ssh://git@github.com/15gifts/py-db.git

Detailed import analysis

**************************

IMPORT PACKAGE azure_st...

That is a neat way of making it work! Thanks Martin. Once I've added the SSH key to the deployment keys in that repo, then the change in the config should work right? I'm guessing the extra index URL can be a URL to the github repo of interest? (not another privately hosted pypi repo)

Hey Martin. We have managed to resolve this. FYI the issue was with the resolving of the host. It had to be changed from @github.com to what the host is in the ssh config file!

Yeah I would say that a demo on this would be great. I think this task is difficult as is given the differences in deployment architectures, but for common tasks it would be good to have some additional docs/examples 🙂

We are planning to use Airflow as an extension of clearml itself, for several tasks:
we want to isolate the data validation steps from the general training pipeline; the validation will be handled using some base logic and some more advanced validations using something like great expectations. our training data will be a snapshot from the most recent 2 weeks, and this training data will be used across multiple tasks to automate the scheduling and execution of training pipelines periodically e...

Did the shell script route work? I have a similar question.

It's a little more complicated because the index URL is not fixed; it contains the token which is only valid for a max of 12 hours. That means the ~/.config/pip/pip.conf file will also need to be updated every 12 hours. Fortunately, this editing is done automatically by authenticating AWS codeartefact in the command line by logging in.

My current thinking is as follows:

Install the awscli - pip install awscli (c...