@Marvin When deploying a flow to a docker worker where the source is a github repository how do I make sure prefect-aws and prefect-github pip packages are installed?

To ensure that additional Python packages, like

prefect-aws

and

prefect-github

, are installed when deploying a Prefect flow to Docker workers, you typically need to customize your Docker image or specify the required packages in your deployment configuration. Here’s a general approach that should be applicable: 1. Custom Dockerfile: Create a custom Dockerfile where you specify the base image and any additional packages you want to install. Example:

dockerfile
   FROM prefecthq/prefect:latest

   RUN pip install prefect-aws prefect-github

You can then build this Docker image and push it to an image registry. 2. Deployment Configuration: In your deployment, specify the custom Docker image. Here’s a JSON example for deploying using a Docker worker configuration:

json
   {
     "type": "docker",
     "docker": {
       "image": "your-custom-image",
       "registry": "your-image-registry-url"
     },
     ...
   }

3. Include Requirements in Prefect Deployment: Some Prefect versions allow specifying extra dependencies directly in the deployment YAML configuration or script. You can specify the packages under a

requirements

section:

yaml
   flows:
     - name: my-flow
       ...
       requirements:
         - prefect-aws
         - prefect-github

Please refer to the Prefect documentation for specific details based on your version, as syntax and capabilities might differ between versions. If you have a specific Prefect version, looking up that version’s documentation can provide more detailed steps tailored to that release.

@Marvin I took the Dockerfile approach

FROM prefecthq/prefect:3.0.5.dev4-python3.12

RUN pip install prefect-aws prefect-github

However, when my worker downloads and runs the image I get a FileNotFoundError for my flow

FileNotFoundError: [Errno 2] No such file or directory: 'flows/provider/process_provider.py'

My deployment is created like this

if __name__ == "__main__":
    process_provider.deploy(
        name="process-provider",
        work_pool_name="docker-process",
        image=DockerImage(
            name="ghcr.io/my-org/prefect_app_backend_data",
            tag="latest",
            dockerfile="./flows/provider/Dockerfile",
        ),
        build=True,
        push=True,
    )

The error you encountered,

FileNotFoundError: [Errno 2] No such file or directory: 'flows/provider/process_provider.py'

, typically occurs when the Docker image doesn't have the source code baked in or the path to the source code is incorrectly specified. Here are some possible solutions to address this issue: 1. Ensure Code is Included in Docker Image: - When you build your Docker image using a

Dockerfile

, make sure you use the

COPY

command to include your flow file within the Docker image. For example:

dockerfile
     FROM prefecthq/prefect:3.0.5.dev4-python3.12

     RUN pip install prefect-aws prefect-github

     # Copy your source code into the Docker image
     COPY ./flows /app/flows

     # Or wherever your Python environment expects the code
     WORKDIR /app

2. Check Build Context: - When specifying the build context in your Docker-related commands, ensure it includes the directory where your flow code is located. The build context is typically specified as the period (

.

), which means the current directory:

docker build -t <image-name> .

3. Verify Paths: - Double-check that the path

'flows/provider/process_provider.py'

is correct and exists relative to your working directory when you run the build commands. 4. Error in Deployment Script: - In your deployment script, ensure that the Dockerfile path and other configurations align with the directories and files you have locally, specifically:

python
     image=DockerImage(
         name="<http://ghcr.io/my-org/prefect_app_backend_data|ghcr.io/my-org/prefect_app_backend_data>",
         tag="latest",
         dockerfile="./flows/provider/Dockerfile",
     )

5. Use from_source Method if Not Baking: - If baking the flow into the Docker image is not preferred, configure your deployment to pull the flow code from the source repository at runtime using the

from_source

method. This is useful when storing your code in repositories like GitHub. For a step-by-step guide, refer to the Prefect documentation specific to Docker deployments: Prefect Docker Deployment Examples. Make sure you tailor your approach based on whether you want your code baked into the Docker image or pulled from a repository at runtime. These configurations can impact how your deployment and Docker builds are set up.

What is the default work dir for prefect docker

I took the Dockerfile approach

FROM prefecthq/prefect:3.0.5.dev4-python3.12

RUN pip install prefect-aws prefect-github

However, when my worker downloads and runs the image I get a FileNotFoundError for my flow

FileNotFoundError: [Errno 2] No such file or directory: 'flows/provider/process_provider.py'

My deployment is created like this

if __name__ == "__main__":
    process_provider.deploy(
        name="process-provider",
        work_pool_name="docker-process",
        image=DockerImage(
            name="<http://ghcr.io/my-org/prefect_app_backend_data|ghcr.io/my-org/prefect_app_backend_data>",
            tag="latest",
            dockerfile="./flows/provider/Dockerfile",
        ),
        build=True,
        push=True,
    )

The

FileNotFoundError

suggests that your flow file is not being included in the Docker image correctly. Here's a step-by-step guide to resolve this: 1. Include Your Flow in the Docker Image: Make sure your

Dockerfile

copies the necessary files into the Docker image. Here's an example of what your

Dockerfile

might look like:

dockerfile
   FROM prefecthq/prefect:3.0.5.dev4-python3.12

   RUN pip install prefect-aws prefect-github

   # Copy the entire project directory to the /app directory in the container
   COPY . /app

   # Set the working directory
   WORKDIR /app

With this setup, the

COPY . /app

command will include everything in your current directory (including

flows/provider/process_provider.py

) into the

/app

directory within the Docker image. 2. Check Build Context: When building your Docker image, ensure that the correct context (the directory containing your

Dockerfile

and flow code) is specified. You can do this by running the build command from the root directory of your project:

bash
   docker build -t <http://ghcr.io/my-org/prefect_app_backend_data|ghcr.io/my-org/prefect_app_backend_data> -f ./flows/provider/Dockerfile .

The period (

.

) at the end denotes the current directory as the Docker build context. 3. Verify Paths in Deployment Script: Double-check that the paths in your deployment script match the structure of your project. It's important to confirm both the

dockerfile

path and ensure that the files are correctly included in the build context as described previously. If after these steps you still face issues, ensure that your working directory (where

WORKDIR

is set) in the Docker image aligns with the location of your flow script within the container. This will ensure the script can be found when your worker runs the flow.