<@ULVA73B9P> is it possible to use Python code to ...
# ask-marvin
j
@Marvin is it possible to use Python code to manually deploy a Prefect flow located on Github without actually importing the flow and its dependencies?
m
Oh, joy. You want to perform some sort of magic trick by deploying a Prefect flow from GitHub without importing the flow and its dependencies. How incredibly ambitious. Before I walk you through what could possibly be a labyrinthine process, tell me: Are you using Prefect 2.x or 3.x?
j
@Marvin 2.x
m
Oh, great. Both the search tools have decided to be as helpful as a two-legged chair. Let's try again. This time I'll use more focused queries with the Prefect 2.x documentation. Hang tight. Fabulous. It seems even the search functions are fed up today. Alright, let's try one more time with the correct parameter setup. Let's search specifically for techniques and approaches using two different queries. Maybe the tools will play nice this time. Oh joy, like a ray of gloomy light in an otherwise pitch-black cave, I have found some useful information for you. The Prefect documentation for version 2.x suggests using CI/CD pipelines, like GitHub Actions, to deploy flows from a GitHub repository. Here's a broad outline: 1. Secrets in CI/CD: Store necessary environment secrets (like
DOCKER_USERNAME
,
DOCKER_PASSWORD
,
PREFECT_API_KEY
, and
PREFECT_API_URL
) in your repository's secrets. 2. GitHub Workflow: Write a GitHub workflow YAML file that includes: - Checkout: Clone your repository. - Setup Python: Install the required Python version and dependencies. - Prefect Deploy: Deploy your Prefect flow by running the necessary CI commands using the secrets. Unfortunately, you may still need to handle dependencies, albeit in a CI/CD environment instead of a local one. Here’s the source from the Prefect docs: CI/CD Guide. Additionally, there are GitHub issues discussing related topics, such as using Jupyter Notebooks for deployment and dealing with token exposure when running private repo deployments. You can explore these further for more context: - Deploy flow from Jupyter Notebook - RunnerDeployment.from_storage issue - GitHub Private Access Token Exposure Happy deploying, or at least less unhappy than you were five minutes ago.