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Hi all and <@ULVA73B9P>, I am looking to create a...
# ask-community
g
Hi all and @Marvin, I am looking to create a deployment that uses an existing work pool (cloudrun:v2 push). I have some CI/CD that create the docker image required (similarly to Prefect.yaml) and then some python script to that use the generated image and create the deployment using
Copy code
my_flow.deploy(
   ...
   build=False,
   push=False,
   image=f"{docker_image_name}:{project_version_number}"
   ...
)
Is is possible to specify the Docker entrypoint in the deploy when using an already built image? • In the method parameters there is some 
entrypoint_type
but not sure how to specify the actual entrypoint. • I do not want to specify the entrypoint in the Dockerfile either because I want to have some generic container for all the flows in my codebase. (for the context: we are not using the 
deployments
section of 
prefect.yaml
because we have some conditions to create deployments for specific customer infras)
m
In your Prefect setup, you want to specify a Docker entrypoint when deploying using an already built image. In both Prefect 2.x and 3.x versions, the concept of the "entrypoint" typically refers to the function within Python code but not directly to Docker's entrypoint. 1. Prefect 2.x: The documentation suggests using an 
entrypoint
parameter that is part of deployment configurations. However, this entrypoint relates to the Python function within the code rather than a Docker entrypoint. The entrypoint is described as a relative path to the flow's Python script and function, like 
path/to/flow.py:function_name
. 2. Prefect 3.x: Similar to 2.x, the entrypoint in Prefect refers to the Python code within the image rather than a Docker-specific entrypoint. It requires specifying the function that should be executed when the flow runs. The parameter 
entrypoint_type
you mentioned doesn't directly specify Docker's entrypoint, and instead, should be used to point to the method in the Python code where the flow begins. Unfortunately, specifying the Docker entrypoint directly through Prefect deployment isn't natively supported in a way bypassing Python code specification. Instead, the Docker image must already be set with the correct entrypoint configuration during the build process. For precise solutions or workarounds, consider configuring your Dockerfile to set the desired entrypoint ahead of time when you create your Docker image. If this approach doesn't meet your specific requirements, do let me know, and we can explore more tailored strategies. For more on how Prefect handles entrypoints and deployments, you might want to explore these links further: - For Prefect 2.x: Prefect 2.x Deployment Guides - For Prefect 3.x: Prefect 3.x Deployment Documentation
Based on the searches, here's what I found regarding your question on specifying a Docker entrypoint during deployment with Prefect when using an already built image: 1. Entrypoint Specification: In Prefect, the 
entrypoint
parameter in a deployment typically refers to the path and the function within your Python code. It is specified using the syntax 
path/to/script.py:function_name
. This is used to find and execute the correct function when the deployment runs. 2. Docker Entrypoint: If you are aiming to set a Docker-specific entrypoint (like you would in a 
Dockerfile
), Prefect doesn't provide a direct parameter in the 
deploy
method to handle Docker entrypoints explicitly since Prefect's deployment model focuses more on the Python function to be called rather than Docker's command structure. 3. Entrypoint Type: The 
entrypoint_type
you mentioned seems to be more concerned with the type of entrypoint from Prefect’s perspective, rather than Docker's. If you need to configure the Docker entrypoint differently without altering the Dockerfile itself, you might consider utilizing Docker’s capabilities directly when running the container or configuring your work pool to handle any needed command overrides. 4. Custom Deployment Logic: Since you're handling custom deployment logic, you might script around Prefect’s deployment process to interact with Docker APIs or CLI directly before or after setting up your Prefect deployment, to adjust the entrypoint as needed without changing the Prefect deployment script. You can learn more about the general logic and deployment methods via these resources: - Prefect 2.x Deployment Guide - Prefect 3.x Deployment Guide Please let me know if you have any further questions or need additional clarification!
When deploying a flow using an already built Docker image in Prefect, you can specify the Docker entrypoint by setting it directly in your Dockerfile when you build the image. Prefect doesn't seem to provide a parameter to modify the entrypoint directly during deployment. You would typically set this in your Dockerfile with the 
ENTRYPOINT
instruction. The 
entrypoint_type
parameter you mentioned might be used to define how Prefect interprets the entrypoint within the context of its deployment system, but upon investigation, there seems to be no official documentation or reference that specifies how to use it to directly alter the Docker entrypoint. For a more customized execution where you might need to set different entrypoints for different deployments without altering the Dockerfile, consider these alternatives: 1. You can build different Docker images for each required entrypoint. 2. Use environment variables within the Docker image to handle conditional logic based on the deployment needs. Here are some relevant resources that might help you: - Prefect's Docker deployment guide for Prefect 2.x: Prefect Docker Deployments - Prefect infrastructure examples for managing Docker images: Docker Infrastructure I recommend considering these strategies or consulting with your Prefect environment further to see if there have been updates or community practices shared more recently. If you're closely integrated into Prefect's development environment or cloud setup, checking their forums or recent releases might also yield more targeted solutions. If you have more specific requirements or constraints, feel free to share them!
g
Thanks, I think we will follow the suggestion and parametrize the flow based on some env variable
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