@Marvin I'm getting a

FileNotFoundError: [Errno 2] No such file or directory

when trying to run

prefect deploy

and building my docker container. the docker daemon is running in the background so what could be causing this?

Here are a few potential reasons and solutions for the

FileNotFoundError

you are encountering when running `prefect deploy`: 1. Incorrect Working Directory: The deployment may be failing due to attempting to set a working directory that does not exist. Ensure that the directory specified in your deployment configuration exists and is accessible. Example issue: Encountered error while running prefect.deployments.steps.set_working_directory - FileNotFoundError 2. Nested Directories in Storage Blocks: If you're using a storage block like GCS or S3, there might be issues with the file paths within the bucket. Make sure the files are correctly placed as expected by your deployment script. Example issue: Prefect deployment with gcs-bucket storage block loading into bucket incorrectly 3. Docker Build and Push Settings: You need to ensure Docker is correctly installed, running, and authenticated with your registry before running the deployment command. If you do not need to push the Docker image to a registry or want to skip the build process, you can adjust the deployment settings accordingly:

python
   if __name__ == "__main__":
       flow.deploy(
           name="my-deployment",
           work_pool_name="my-docker-pool",
           image="my_registry/my_image:my_image_tag",
           push=False,  # Skip pushing to Docker registry
           build=False  # Skip building the Docker image
       )

Documentation: Prefect Deployment 4. Code Example: Here is a basic example of defining a flow and deploying it in Prefect:

python
   from prefect import flow

   @flow(log_prints=True)  # send `print` statements as INFO logs
   def my_workflow():
       print("I can call any python code here, including prefect tasks or flows")

   if __name__ == "__main__":
       my_workflow()  # call it like a normal python function
       # or serve it as a long-lived process
       # my_workflow.serve("my-deployment-name")

Example: Basic Prefect Flow Please review these potential causes and adjust your deployment configuration accordingly. If the issue persists, share more details about your configuration to provide further assistance.