langtools-cli 0.1.0b1

A CLI tool for packaging and submitting Python files to feeds and Ray clusters.

LangTools CLI

LangTools supports CLI to help submit jobs to Ray or other hosting platforms (To be supported).

Installation

Note: This tool can only be used in Linux or WSL environments.

You have two options to install LangTools:

Option 1: Use the Installation Script

We provide a script to install LangTools and its prerequisites in one command. Run the following command in your terminal, go to langtools\packages\cli:

bash install_langtools.sh

After running the script, activate conda venv:

conda activate langtools-venv

Option 2: Follow the Steps Manually

1. Install Python version 3.8 to 3.11: These versions are required because Ray 2.10.0, a dependency of LangTools, supports only these Python versions. You can use Conda to create a Python environment if you do not want to change your local Python version.

2. Install .NET runtime: The .NET runtime is required for the keyring package, which is used for secure storage and retrieval of credentials.

   wget https://packages.microsoft.com/config/ubuntu/22.04/packages-microsoft-prod.deb -O packages-microsoft-prod.deb
   sudo dpkg -i packages-microsoft-prod.deb
   rm packages-microsoft-prod.deb
   sudo apt-get update && sudo apt-get install -y aspnetcore-runtime-9.0
   

3. Install keyring and artifacts-keyring: These Python packages are used for secure storage and retrieval of credentials, as well as for accessing private package feeds.

   pip install keyring artifacts-keyring
   

4. Install xdg utilities: These utilities are required for handling desktop integration tasks, such as opening URLs or files in the default application.

   sudo apt install xdg-utils
   

5. Install wslu (https://wslutiliti.es/wslu/install.html): This package provides a set of utilities to enhance the WSL (Windows Subsystem for Linux) experience, enabling better integration between Windows and Linux environments.

   sudo add-apt-repository ppa:wslutilities/wslu
   sudo apt update
   sudo apt install wslu
   

6. Install LangTools_CLI:

   pip install langtools_cli --extra-index-url=https://pkgs.dev.azure.com/msasg/WebXT/_packaging/Repo/pypi/simple/
   

Usage

LangTools provides two main commands:

1. PackAndUpload

This command packages a Python file and uploads it to a specified feed.

langtools PackAndUpload -file <file_path> -version <package_version> -feed <feed_url>

• -file: The Python file to package.
• -version: The version of the package.
• -feed: The feed URL to upload the package to.

2. Deploy

This command deploys a Python file to a Ray cluster.

langtools deploy -f <file_path> -c <ray_cluster_url> [-r <requirements_path>] [--feed <feed_url>] [--num-cpus <number_of_cpus>] [-t <type>] [-h <host_target>]

• -f, --file: The Python file to deploy. This should be the entry point file of your tool.
• -c, --cluster: The URL of the Ray cluster where the job will be deployed.
• -r, --requirements: (Optional) Path to a requirements.txt file for additional dependencies.
• --feed: (Optional) Feed URL for additional dependencies. If not provided, a default feed URL will be used.
• --num-cpus: (Optional) Number of CPUs to allocate for the entrypoint. Defaults to 1.
• -t, --type: (Optional) Type of application to deploy. Defaults to job. Currently, only job type is supported.
• --target-host: (Optional) Target platform for deployment. Defaults to ray. Currently, only the ray platform is supported.

Example

langtools PackAndUpload -file example.py -version 1.0.0 -feed https://example-feed-url.com
langtools Submit -file example.py -cluster http://example-ray-cluster.com -requirements requirements.txt -feed https://example-feed-url.com -num_cpus 4

Authentication Notes

• The Ray worker in "default-prod" cluster is running with a PME managed identity:
  • client_id: 506ba7c7-124d-41cf-bb1f-829fa84990ad
  • object_id: c67f2f36-4de9-4f0b-997a-fa9cb9e8ddf4
• The managed identity (MI) already has access to Papyrus.
• Use the AAD scope api://56eb33f7-8aa4-47f6-b898-bd7ebb109bed/.default for Papyrus authentication.

Additional Notes

In your application, you can use different environment files to configure settings for local or Ray environments, such as .local.env and .ray.env. Similarly, you can use separate requirements.txt files for Ray, like requirements_ray.txt.

License

This project is licensed under the MIT License.