Template | Worker

 

🚀 | A simple worker that can be used as a starting point to build your own custom RunPod Endpoint API worker.

📖 | Getting Started

1. Clone this repository.
2. (Optional) Add DockerHub credentials to GitHub Secrets.
3. Add your code to the src directory.
4. Update the handler.py file to load models and process requests.
5. Add any dependencies to the requirements.txt file.
6. Add any other build time scripts to thebuilder directory, for example, downloading models.
7. Update the Dockerfile to include any additional dependencies.

CI/CD

This repository is setup to automatically build and push a docker image to the GitHub Container Registry. You will need to add the following to the GitHub Secrets for this repository to enable this functionality:

• DOCKERHUB_USERNAME | Your DockerHub username for logging in.
• DOCKERHUB_TOKEN | Your DockerHub token for logging in.
• DOCKERHUB_REPO | The name of the repository you want to push to.
• DOCKERHUB_IMG | The name of the image you want to push to.

The CD-docker_dev.yml file will build the image and push it to the dev tag, while the CD-docker_release.yml file will build the image on releases and tag it with the release version.

The CI-test_worker.yml file will test the worker using the input provided by the --test_input argument when calling the file containing your handler. Be sure to update this workflow to install any dependencies you need to run your tests.

💡 | Best Practices

System dempendency installation, model caching, and other shell tasks should be added to the builder/setup.sh this will allow you to easily setup your Dockerfile as well as run CI/CD tasks.

Models should be part of your docker image, this can be accomplished by either copying them into the image or downloading them during the build process.

If using the input validation utility from the runpod python package, create a schemas python file where you can define the schemas, then import that file into your handler.py file.

🔗 | Links

🐳 Docker Container