raga-cli 0.1.78

Git for data scientists - manage your code and data together

# Raga CLI (rc) - Data Version Control Tool

Raga CLI (rc) is a command-line tool built in Python for managing data version control. It allows you to track changes to datasets and models, create checkpoints, and manage repositories to ensure smooth collaboration and reproducibility in data-related projects.

Installation

To install Raga CLI, make sure you have Python installed, and then run the following command:

pip install raga-cli

Usage

Raga CLI provides several commands to help you manage your data version control tasks. Here are the available commands:

1. Create a New Repository

   rc repo create -n <repo_name> -tag <model/dataset>
   

   This command creates a new repository with the specified name and tags it as a model or dataset repository.

2. Clone an Existing Repository

   rc repo clone -n <repo_name>
   

   Use this command to clone an existing repository by providing the repository name.

3. Show Repository Current Local Version

   rc repo version
   

   Displays the current local version of the repository.

4. Show Repository Information

   rc repo info
   

   Provides information about the repository, including its name, type, and current version.

5. Upload Files and Create Checkpoint

   rc put -m "<commit message>"
   

   Uploads tracked files or directories to remote storage and creates a checkpoint with the specified commit message.

6. Download Tracked Files or Directories

   rc get
   

   Downloads files or directories that are tracked by Raga CLI.

7. Download Files or Directories of a Specific Repo Version

   rc get -repo-version <repo_version>
   

   Downloads files or directories of a particular version of the repository.

Additional Flags

• -h, --help: Prints the usage/help message and exits.
• -q, --quiet: Suppresses standard output. Exits with 0 if no problems arise; otherwise, exits with 1.
• -v, --verbose: Displays detailed tracing information.

Contributing

Contributions to Raga CLI are welcome! If you encounter issues or have suggestions for improvements, feel free to open an issue or submit a pull request on the GitHub repository.

License

This project is licensed under the MIT License.

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