DSGT-DLP / Deep-Learning-Playground

Web Application where people new to Deep Learning can input a dataset and toy around with basic Pytorch modules without writing any code
MIT License
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[FEATURE]: "Improve dlp-cli Debugging with Directory Check Warning" #1149

Open codingwithsurya opened 6 months ago

codingwithsurya commented 6 months ago

Feature Name

Add pre-installation check logging to dlp-cli to advise on removing the existing miniforge3/envs/dlp directory to prevent conflicts.

Your Name

Surya Subramanian

Description

When attempting to reinstall or update the backend using dlp-cli backend install, if the miniforge3/envs/dlp directory already exists, it can lead to issues that are not immediately apparent to the user. This scenario can cause confusion and slow down the debugging process.

It would be beneficial for the dlp-cli tool to include a logging statement before attempting the installation or update process that checks for the existence of the miniforge3/envs/dlp directory. If found, the tool should log a clear message advising the user to remove or rename the existing directory to prevent potential conflicts. A suggested message could be:

Adding this feature would improve user experience by making the debugging process more straightforward and reducing the time spent identifying common installation issues.

github-actions[bot] commented 6 months ago

Hello @codingwithsurya! Thank you for submitting the Feature Request Form. We appreciate your contribution. :wave:

We will look into it and provide a response as soon as possible.

To work on this feature request, you can follow these branch setup instructions:

  1. Checkout the main branch:

     git checkout nextjs
  2. Pull the latest changes from the remote main branch:

     git pull origin nextjs
  3. Create a new branch specific to this feature request using the issue number:

     git checkout -b feature-1149

    Feel free to make the necessary changes in this branch and submit a pull request when you're ready.

    Best regards, Deep Learning Playground (DLP) Team