@Marvin in Prefect 3.1.5, when using the flow.deploy() method where the

image=DockerImage

and where you specify using a dockerfile to build the image, the

entrypoint_type

for a deployment is supposed to be a filepath or a module path that is importable in the execution environment, but the

entrypoint_type

doesn't seem to be used, on execution I'm getting this error:

FileNotFoundError: [Errno 2] No such file or directory: '/opt/prefect/arte_tasks/None'

any ideas?

It seems you're encountering an issue with the

entrypoint_type

when deploying a flow using

DockerImage

in Prefect 3.1.5. Here's what I found: 1. Documentation Insights: - The

DockerImage

object allows for image customization, and you can specify a custom Dockerfile path. Prefect generates a Dockerfile that builds an image based on one of its published images, copying the current directory into the Docker image and installing dependencies from a

requirements.txt

file. - However, it appears there might be some confusion or oversight regarding the

entrypoint_type

. The entrypoint should be a valid file path or module path in your execution environment. 2. Error Context: - The error

FileNotFoundError: [Errno 2] No such file or directory: '/opt/prefect/arte_tasks/None'

suggests that the entrypoint is not correctly set or recognized. It seems like the entrypoint might be defaulting to

None

, leading to this error. 3. No GitHub Issues Found: - There are no open issues in the Prefect repository related to this specific problem, indicating it might be a configuration error or a less common bug. 4. Top-Level API Review: - The Prefect API includes modules like

flow

and

deploy

, which you might be using. However, nothing specific about

entrypoint_type

was highlighted in the top-level API review. Recommendation: - Double-check the value being passed to

entrypoint_type

. Ensure it is a valid and accessible path or module within the Docker image. - Review your Dockerfile to confirm that the necessary files are being copied and are accessible in the specified paths. For further details, you can refer to the Prefect Docker deployment documentation. If the issue persists, consider reaching out on Prefect's forums or support channels for more targeted assistance.

this example might be useful https://github.com/zzstoatzz/prefect-pack/blob/main/flows/with_special_deps/deploy.py

To set up a

pull

step that configures the working directory when deploying a Prefect flow using Docker, you can follow this general approach: 1. Prefect YAML Configuration: - Utilize the

prefect.yaml

file to define the

pull

and

push

steps. The

pull

section can be configured to set the working directory where your code is expected to reside. 2. Example Setup: - In your

prefect.yaml

, you might define the

pull

step as follows:

yaml
   pull:
     - prefect.blocks.storage.S3:
         bucket: your-bucket-name
         folder: your-folder-path

- Ensure that the Dockerfile or Docker image used in the deployment has the correct working directory set. This can be done in the Dockerfile with a command like

WORKDIR /your/folder/path

. 3. Dockerfile Considerations: - Make sure that your Dockerfile copies the necessary files into the image and sets the working directory appropriately:

Dockerfile
   FROM python:3.9
   WORKDIR /app
   COPY . /app
   RUN pip install -r requirements.txt

4. Documentation Reference: - For more detailed guidance, refer to the Prefect Docker deployment documentation. This setup ensures that when your flow runs, it pulls the necessary code and sets the correct working directory within the Docker container. Adjust the paths and configurations according to your specific environment and deployment needs.

🙅 https://github.com/zzstoatzz/prefect-monorepo/blob/main/prefect.yaml#L167-L177

thanks for looking at this @Nate - I think using a

prefect.yaml

file is the solution - I was trying to do it all in the

.deploy

(more details here: https://prefect-community.slack.com/archives/CL09KU1K7/p1738004778709099 )