@Marvin I set up the prefect server locally and I created the work-pool test-pool. Now trying to release the flow and the deploy I get the error: ValueError: Either an image or remote storage location must be provided when deploying a deployment. This is the code:

from prefect.flows import flow

@flow
def my_flow():
    print("Hello from test-pool!")

my_flow.deploy(name="local-deployment", work_pool_name="test-pool")

Is it possible to tell Prefect to just use the flow code for its orchestration otherwise tell me how to tell Prefect that it should watch a remote storage

The error you're encountering is because Prefect requires either an image or a remote storage location to deploy a flow. This is necessary for Prefect to know where to retrieve the flow code when executing it. Here are the options you have: 1. Docker Image: You can specify a Docker image that contains your flow code. This is useful if you want to encapsulate your environment and dependencies. You can build a custom Docker image or use the base Prefect image. More details can be found in the Prefect documentation. 2. Remote Storage: You can store your flow code in a cloud provider's storage service like AWS S3, Azure Blob Storage, or GCP GCS. Prefect supports any fsspec-supported storage location. If the storage is publicly accessible or if you are authenticated, you can reference it directly. To resolve your issue, modify your deployment to include either a Docker image or a remote storage location. Here's a simple example of how you might specify a Docker image:

python
from prefect.deployments import Deployment

deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="local-deployment",
    work_pool_name="test-pool",
    infrastructure="DockerContainer",
    image="your-docker-image-name"
)

deployment.apply()

For more details on deploying with Prefect, you can refer to the Prefect deployment documentation.

@Marvin Can you guide me more in the building of the docker image for the flow? I mean it is prefect that will create the image and then look at that imahe or do I have to write an image before and then reference the image in the flow code?

Prefect can automatically build a Docker image for your flow, or you can create a custom image yourself. Here's how it typically works: ### Automatic Docker Image Creation by Prefect 1. Write Your Flow: Ensure your flow is defined in a Python file. 2. Deploy Using Prefect: When you call the

deploy

method in Prefect, it can automatically build a Docker image containing your flow code and dependencies. Here's a basic example of deploying with Prefect's automatic Docker image creation:

python
   from prefect.deployments import Deployment
   from prefect.flows import flow

   @flow
   def my_flow():
       print("Hello from test-pool!")

   deployment = Deployment.build_from_flow(
       flow=my_flow,
       name="local-deployment",
       work_pool_name="test-pool",
       infrastructure="DockerContainer",
       image="your-docker-image-name"  # Prefect will build this image for you
   )

   deployment.apply()

3. Dockerfile Generation: Prefect generates a Dockerfile for you based on one of its published images. It copies your current directory into the Docker image and installs any dependencies listed in a

requirements.txt

file. 4. Image Storage: By default, the image is pushed to Docker Hub, but you can control this behavior using the

push

parameter. ### Custom Docker Image If you prefer to create a custom Docker image: 1. Create a Dockerfile: You can write your own Dockerfile to customize the environment. 2. Build the Image: Use Docker to build the image locally. 3. Reference the Image: When deploying, specify the custom image you built. Example with a custom Dockerfile:

python
   from prefect.infrastructure import DockerContainer
   from prefect.deployments import Deployment

   docker_infrastructure = DockerContainer(
       image="your-custom-image-name",
       dockerfile="path/to/Dockerfile"
   )

   deployment = Deployment.build_from_flow(
       flow=my_flow,
       name="custom-deployment",
       work_pool_name="test-pool",
       infrastructure=docker_infrastructure
   )

   deployment.apply()

For more detailed instructions, you can refer to the Prefect documentation on Docker deployment.