< Marvin> I am testing out deploying flows to prefect cloud Prefect Community #ask-marvin

<@ULVA73B9P> I am testing out deploying flows to p...

Sarhan

07/31/2024, 7:50 AM

@Marvin I am testing out deploying flows to prefect cloud using a prefect.yaml. I use pipenv during development and so my dependencies are in a Pipfile and Pipfile.lock rather than a requirements.txt file. I am using ecs push work pools as my infrastructure and so the docker image that gets built is pushed to ECR. My deployments reference the docker image in ECR. But when I try to run my deployment, I hit a ModuleNotFoundError. What should I be doing differently?

Marvin

07/31/2024, 7:50 AM

Your issue with the

ModuleNotFoundError

during deployment is likely due to the way dependencies are specified and handled during the building and running of your docker images in Prefect. Here are some steps to help resolve this: 1. Include Dependencies in Dockerfile: Make sure that your Dockerfile is installing all necessary dependencies. Since you are using Pipfile and Pipfile.lock, you need to make sure those files are utilized during the Docker build process. Here's an example Dockerfile:

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dockerfile
FROM python:3.9

# Install pipenv
RUN pip install pipenv

# Set working directory
WORKDIR /app

# Copy Pipfile and Pipfile.lock
COPY Pipfile Pipfile.lock ./

# Install dependencies
RUN pipenv install --deploy --system

# Copy the rest of your app code
COPY . .

# Set the entrypoint
ENTRYPOINT ["python", "your_entrypoint.py"]

2. Specify Correct Image in
prefect.yaml
: Ensure that your

prefect.yaml

is pointing to the correct Docker image that you've built and pushed to ECR.

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    pull:
      - prefect.deployments.steps.git_clone:
          repository: "<https://github.com/your/repo>"
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-ecr-url/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-ecr-url/your-image:latest"
    flow_name: your_flow_name

3. Verify Local Test: Before pushing to ECR, test your Docker image locally to ensure it runs as expected.

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bash
docker build -t your-local-image .
docker run your-local-image

4. Check Prefect Configuration: Double-check your flow configurations in

prefect.yaml

to ensure all paths and entry points are correct and aligned with the Docker image's structure. Here are links to relevant Prefect documentation that might help: - Deployments: https://docs.prefect.io/latest/guides/prefect-deploy/ - Work Pools: https://docs.prefect.io/latest/concepts/work-pools/ - Kubernetes Deployment Example (similar principles apply): https://docs.prefect.io/latest/guides/deployment/kubernetes/ Additionally, there have been GitHub issues related to

ModuleNotFoundError

that you might find useful: - Issue 12589: https://github.com/PrefectHQ/prefect/issues/12589 - Issue 9512: https://github.com/PrefectHQ/prefect/issues/9512 These steps should help you address the

ModuleNotFoundError

by ensuring that all dependencies are correctly installed in your Docker image used by Prefect for deployments. If you continue to face issues, verifying the installation steps and paths within your Docker build and Prefect deployment configurations will be key.

Sarhan

07/31/2024, 8:14 AM

@Marvin Is my code included in my dockerfile if I deploy using CI/CD and a prefect.yaml?

Marvin

07/31/2024, 8:14 AM

Your code needs to be included in the Docker image if you're deploying through CI/CD and using a

prefect.yaml

file. Here’s an approach to ensure this: 1. Include Code in Docker Build: Make sure your Dockerfile includes steps to copy your code into the Docker image. Here’s an exemplary Dockerfile structure:

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dockerfile
FROM python:3.9

# Install pipenv
RUN pip install pipenv

# Set working directory
WORKDIR /app

# Copy Pipfile and Pipfile.lock
COPY Pipfile Pipfile.lock ./

# Install dependencies
RUN pipenv install --deploy --system

# Copy the rest of your app code
COPY . .

# Set the entrypoint
ENTRYPOINT ["python", "your_entrypoint.py"]

2. CI/CD Pipeline Configuration: Ensure your CI/CD pipeline correctly builds and pushes the Docker image. Here's a conceptual example using GitHub Actions:

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yaml
name: CI/CD Pipeline

on:
  push:
    branches: [main]

jobs:
  build-and-deploy:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout Code
      uses: actions/checkout@v2

    - name: Set up Docker Buildx
      uses: docker/setup-buildx-action@v1

    - name: Log in to ECR
      run: |
        aws ecr get-login-password --region ${{ secrets.AWS_REGION }} | docker login --username AWS --password-stdin ${{ secrets.AWS_ECR_REGISTRY }}

    - name: Build Docker Image
      run: |
        docker build -t ${{ secrets.AWS_ECR_REGISTRY }}/your-image:latest .
    
    - name: Push Docker Image to ECR
      run: |
        docker push ${{ secrets.AWS_ECR_REGISTRY }}/your-image:latest

3. Prefect Configuration (
prefect.yaml
): Ensure the

prefect.yaml

references the built Docker image and that you include the necessary pull steps. Here's a basic example of `prefect.yaml`:

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    pull:
      - prefect.deployments.steps.git_clone:
          repository: "<https://github.com/your/repo>"
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-ecr-url/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-ecr-url/your-image:latest"
    flow_name: your_flow_name

4. Verify Docker Content: Test locally to verify that the Docker image contains all necessary code and can run your flows:

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bash
docker build -t your-local-image .
docker run your-local-image

By ensuring these steps in your Dockerfile, CI/CD pipeline, and

prefect.yaml

, your code will be included in the Docker image that gets deployed by Prefect. If you have further issues, make sure to check Prefect's deployment guide and related sections specific to docker and CI/CD.

Marvin

07/31/2024, 8:43 AM

Could you please provide the script for your GitHub Action YAML file that you are using, so that I can address any specific issues and confirm if your code is correctly included in your Docker image when deployed via CI/CD with

prefect.yaml

? You might want to ensure your GitHub Action includes steps for: 1. Checking out the code. 2. Installing any necessary tools. 3. Building the Docker image. 4. Pushing the Docker image to a registry. 5. Deploying to Prefect Cloud. For example, here's a more detailed GitHub Action YAML file:

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yaml
name: CI/CD Pipeline

on:
  push:
    branches: [main]

jobs:
  build-and-deploy:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout Code
      uses: actions/checkout@v2

    - name: Log in to AWS to fetch ECR credentials
      uses: aws-actions/configure-aws-credentials@v1
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: ${{ secrets.AWS_REGION }}

    - name: Log in to ECR
      run: |
        aws ecr get-login-password | docker login --username AWS --password-stdin ${{ secrets.AWS_ECR_REGISTRY }}

    - name: Build Docker Image
      run: |
        docker build -t ${{ secrets.AWS_ECR_REGISTRY }}/your-image:latest .

    - name: Push Docker Image to ECR
      run: |
        docker push ${{ secrets.AWS_ECR_REGISTRY }}/your-image:latest

    - name: Install Prefect
      run: |
        pip install prefect

    - name: Deploy to Prefect Cloud
      run: |
        prefect deploy --name your-deployment-name --tag your-tag --pool my-ecs-work-pool
      env:
        PREFECT_API_KEY: ${{ secrets.PREFECT_API_KEY }}

Ensure the following configurations in your `prefect.yaml`:

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    pull:
      - prefect.deployments.steps.git_clone:
          repository: "<https://github.com/your/repo>"
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-ecr-url/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-ecr-url/your-image:latest"
    flow_name: your_flow_name

This configuration ensures your code is used during the Docker build process, and the image is correctly pushed and referenced during flow deployments. Please share specific details or provide the GitHub Action YAML file if you need further customized assistance!

Marvin

07/31/2024, 8:44 AM

Alright, let’s walk through an example configuration to ensure everything is set correctly with your GitHub Actions and

prefect.yaml

. Here’s an example GitHub Action workflow file that you might use for CI/CD, as well as a sample

prefect.yaml

. ### GitHub Action Workflow (

.github/workflows/deploy.yml

)

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yaml
name: CI/CD Pipeline

on:
  push:
    branches: [main]

jobs:
  build-and-deploy:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout Code
      uses: actions/checkout@v2

    - name: Set up Docker Buildx
      uses: docker/setup-buildx-action@v1

    - name: Log in to ECR
      run: |
        aws ecr get-login-password --region ${{ secrets.AWS_REGION }} | docker login --username AWS --password-stdin ${{ secrets.AWS_ECR_REGISTRY }}

    - name: Build Docker Image
      run: |
        docker build -t ${{ secrets.AWS_ECR_REGISTRY }}/your-image:latest .

    - name: Push Docker Image to ECR
      run: |
        docker push ${{ secrets.AWS_ECR_REGISTRY }}/your-image:latest

    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: '3.9'

    - name: Install dependencies
      run: |
        pip install prefect

    - name: Deploy to Prefect Cloud
      run: |
        prefect deployment apply path/to/prefect.yaml
      env:
        PREFECT_API_KEY: ${{ secrets.PREFECT_API_KEY }}

### Prefect Configuration (

prefect.yaml

)

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    pull:
      - prefect.deployments.steps.git_clone:
          repository: "<https://github.com/your/repo>"
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-ecr-url/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-ecr-url/your-image:latest"
    flow_name: your_flow_name
    entrypoint: path/to/your_flow.py:your_flow_function_name

### Key Points - Checkout Code: Ensure you are checking out the code so that Docker can copy it into the image during the build. - Log in to ECR: Use AWS credentials to log in to ECR so you can push the Docker image. - Build & Push Docker Image: Build the Docker image and push it to the specified ECR repository. - Install Prefect: Install Prefect in the environment where the deployment command will run. - Deploy to Prefect Cloud: Run the Prefect deploy command to create the deployment on Prefect Cloud. ### Dockerfile Example

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dockerfile
FROM python:3.9

# Install pipenv
RUN pip install pipenv

# Set working directory
WORKDIR /app

# Copy Pipfile and Pipfile.lock
COPY Pipfile Pipfile.lock ./

# Install dependencies
RUN pipenv install --deploy --system

# Copy the rest of your app code
COPY . .

# Set the entrypoint
ENTRYPOINT ["python", "path/to/your_entrypoint.py"]

### Troubleshooting Tips 1. Verify Local Build: Ensure the Dockerfile works locally by running the build and verifying it includes your code and dependencies. 2. Prefect API Key: Ensure the Prefect API key is securely stored in GitHub Secrets and imported correctly in the action. 3. File Paths: Double-check the paths used in the Dockerfile,

prefect.yaml

, and GitHub Action steps to make sure they align with your repository structure. With this setup, your CI/CD pipeline should build the Docker image with your code and dependencies, push it to ECR, and deploy the flow to Prefect Cloud using the defined configuration in

prefect.yaml

Sarhan

07/31/2024, 8:44 AM

@Marvin If I follow the CI/CD guide with prefect.yaml and have my github action yaml as below. Will my dependencies be included in my docker image?

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name: Deploy Prefect flow

on:
  push:
    branches:
      - main

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Log in to Docker Hub
        uses: docker/login-action@v3
        with:
          username: ${{ secrets.DOCKER_USERNAME }}
          password: ${{ secrets.DOCKER_PASSWORD }}

      - name: Setup Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'

      - name: Prefect Deploy
        env:
          PREFECT_API_KEY: ${{ secrets.PREFECT_API_KEY }}
          PREFECT_API_URL: ${{ secrets.PREFECT_API_URL }}
        run: |
          pip install -r requirements.txt
          prefect deploy -n my-deployment

Marvin

07/31/2024, 8:45 AM

The GitHub Actions workflow you provided is missing the Docker build and push steps. As a result, dependencies will not be included in the Docker image built and pushed to the registry. Here's a revised example that includes those steps to ensure your dependencies and application code are included in the Docker image: ### Revised GitHub Action Workflow

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yaml
name: Deploy Prefect flow

on:
  push:
    branches:
      - main

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v2

      - name: Log in to Docker Hub
        uses: docker/login-action@v1
        with:
          username: ${{ secrets.DOCKER_USERNAME }}
          password: ${{ secrets.DOCKER_PASSWORD }}

      - name: Setup Python
        uses: actions/setup-python@v2
        with:
          python-version: '3.11'

      - name: Build and Push Docker image
        run: |
          docker build -t ${{ secrets.DOCKER_USERNAME }}/your-image:latest .
          docker push ${{ secrets.DOCKER_USERNAME }}/your-image:latest

      - name: Install Prefect
        run: |
          pip install prefect

      - name: Prefect Deploy
        env:
          PREFECT_API_KEY: ${{ secrets.PREFECT_API_KEY }}
          PREFECT_API_URL: ${{ secrets.PREFECT_API_URL }}
        run: |
          prefect deploy -n my-deployment

### Example Dockerfile Make sure your Dockerfile is correctly configured to install dependencies and copy your code:

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dockerfile
FROM python:3.11

# Install pip
RUN pip install pipenv

# Set working directory
WORKDIR /app

# Copy Pipfile and Pipfile.lock (if you use them) or requirements.txt
COPY Pipfile Pipfile.lock ./

# Install dependencies
RUN pipenv install --deploy --system

# Copy the rest of your app code
COPY . .

# Set the entrypoint
ENTRYPOINT ["python", "path/to/your_entrypoint.py"]

### Prefect Configuration (

prefect.yaml

) Ensure that your

prefect.yaml

correctly references the Docker image:

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    pull:
      - prefect.deployments.steps.git_clone:
          repository: "<https://github.com/your/repo>"
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-docker-username/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-docker-username/your-image:latest"
    flow_name: your_flow_name
    entrypoint: path/to/your_flow.py:your_flow_function_name

### Key Points: - Docker Build and Push: The GitHub Action now includes steps to build the Docker image and push it to Docker Hub. - Dependencies Inclusion: The Dockerfile ensures that dependencies are installed inside the Docker image. - Prefect Deploy: The Prefect deployment step uses the Docker image built and pushed during the CI/CD pipeline. With these changes, your Docker image will include your application code and dependencies, and the Prefect deployment will use this image correctly.

Sarhan

07/31/2024, 12:56 PM

@Marvin what could be leading to this stacktrace?

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Flow could not be retrieved from deployment.
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/site-packages/prefect/engine.py", line 426, in retrieve_flow_then_begin_flow_run
    else await load_flow_from_flow_run(
  File "/usr/local/lib/python3.10/site-packages/prefect/client/utilities.py", line 100, in with_injected_client
    return await fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/prefect/deployments/deployments.py", line 290, in load_flow_from_flow_run
    basepath = deployment.path or Path(deployment.manifest_path).parent
  File "/usr/local/lib/python3.10/pathlib.py", line 960, in __new__
    self = cls._from_parts(args)
  File "/usr/local/lib/python3.10/pathlib.py", line 594, in _from_parts
    drv, root, parts = self._parse_args(args)
  File "/usr/local/lib/python3.10/pathlib.py", line 578, in _parse_args
    a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType

Marvin

07/31/2024, 12:56 PM

The error message

Flow could not be retrieved from deployment... TypeError: expected str, bytes or os.PathLike object, not NoneType

indicates there is an issue with your deployment's configuration. Specifically, the error suggests that

deployment.path

deployment.manifest_path

None

, causing the Path constructor to fail. This problem commonly arises when the deployment configuration is missing critical information or is improperly set up. ### Steps to Resolve: 1. Check the Deployment Configuration (
prefect.yaml
): Ensure that your deployment configuration includes correct paths and all necessary parameters. Example `prefect.yaml`:

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    pull:
      - prefect.deployments.steps.git_clone:
          repository: "<https://github.com/your/repo>"
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-ecr-url/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-ecr-url/your-image:latest"
    flow_name: your_flow_name
    entrypoint: path/to/your_flow.py:your_flow_function_name

2. Verify Paths and Storage Block Definitions: Ensure that the paths specified in the deployment and storage block definitions are valid and exist. Missing or incorrect paths can lead to such errors. 3. Check for Missing Fields: If you are using a storage block (like GitHub or S3), make sure all necessary fields are provided. Example using a GitHub storage block:

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python
from prefect import flow
from prefect.deployments import Deployment
from prefect.storage import GitHub

if __name__ == "__main__":
    Deployment.build_from_flow(
        flow=my_flow,
        name="my-deployment",
        storage=GitHub.load("your-github-block-name"),
        entrypoint="path/to/your_flow.py:your_flow_function_name",
    )

4. Run Deployment Locally: Try running the deployment script locally to catch errors before pushing it to the CI/CD pipeline. ### Documentation Links: 1. Prefect Deployment Guide 2. Troubleshooting Deployment Issues By ensuring the provided paths and configurations are accurate and properly set, you should be able to resolve the

TypeError

and allow Prefect to correctly retrieve the flow from the deployment. If the issue persists, double-check the deployment setup and ensure that all required parameters and fields are specified correctly.

Sarhan

07/31/2024, 3:27 PM

@Marvin When does the pull section of the prefect.yaml run? How is it meant to be used?

Marvin

07/31/2024, 3:27 PM

The pull section of the

prefect.yaml

file is crucial for preparing your flows to run within a deployment. This section is executed each time a deployment is run via a worker. Its primary purpose is to set up the environment by pulling necessary code or data from specified sources to ensure the flow can be executed correctly. ### Key Points about the pull Section 1. Execution: The steps in the pull section are executed every time the deployment runs. This ensures that the latest code or data changes are incorporated. 2. Common Steps: - Set Working Directory: Sets the working directory for the process before importing the flow. - Git Clone: Clones the specified repository on the specified branch. - Pull from Cloud Storage: Pulls the working directory or specific data from a cloud storage service, such as S3. 3. Block and Variable References: Any block and variable references within the pull step remain unresolved until runtime. This is advantageous for securely handling sensitive information and managing configuration dynamically without rebuilding the deployment. ### Example Use: Here's an example of how the pull section might be used in a

prefect.yaml

file to clone a GitHub repository using stored credentials: ####

prefect.yaml

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    pull:
      - prefect.deployments.steps.git_clone:
          repository: "<https://github.com/org/repo.git>"
          credentials: "{{ prefect.blocks.github-credentials.my-credentials }}"
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-ecr-url/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-ecr-url/your-image:latest"
    flow_name: your_flow_name
    entrypoint: path/to/your_flow.py:your_flow_function_name

### Example Pulling from S3: ####

prefect.yaml

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    pull:
      - prefect_aws.deployments.steps.pull_from_s3:
          bucket: my-bucket
          folder: my-folder
          credentials: "{{ prefect.blocks.aws-credentials.my-credentials }}"
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-ecr-url/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-ecr-url/your-image:latest"
    flow_name: your_flow_name
    entrypoint: path/to/your_flow.py:your_flow_function_name

### Documentation Links: 1. Prefect Deployment Guide By configuring the pull section correctly, you ensure your deployment environment is consistently up-to-date with the necessary code and data, reducing the likelihood of encountering runtime issues related to missing dependencies or outdated code.

Sarhan

07/31/2024, 3:41 PM

@Marvin If my docker image contains my code, would I need to pull code from github or cloud storage?

Marvin

07/31/2024, 3:41 PM

If your Docker image already contains your code and all necessary dependencies, you generally do not need to use the pull section to retrieve the code from GitHub or cloud storage. The purpose of pull steps is to prepare the environment by fetching the latest code or data needed for execution, but if your Docker image is self-contained, this becomes redundant. However, if there are scenarios where you need to update or override the code inside the Docker image with the latest from a repository, you would still use the pull steps. For most cases where the Docker image is built with the latest code, the pull steps can be omitted. ### Example Workflow Without Pull Steps Here's an example of what your

prefect.yaml

might look like if your Docker image contains all the necessary code and dependencies:

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-ecr-url/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-ecr-url/your-image:latest"
    flow_name: your_flow_name
    entrypoint: path/to/your_flow.py:your_flow_function_name

### Key Points - Self-Contained Docker Image: If your Docker image is self-contained, including all code and dependencies, you can omit the pull section. - Deployment Process: The build and push steps will ensure the Docker image is constructed and available without needing any additional pull steps to fetch code from external sources. ### Dockerfile Example to Ensure Self-Containment To make sure your Docker image is self-contained with all necessary code and dependencies, ensure your Dockerfile looks something like this:

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dockerfile
FROM python:3.11

# Install pipenv
RUN pip install pipenv

# Set working directory
WORKDIR /app

# Copy Pipfile and Pipfile.lock (if you're using pipenv) or requirements.txt
COPY Pipfile Pipfile.lock ./
# Or, if you use requirements.txt
# COPY requirements.txt ./

# Install dependencies
RUN pipenv install --deploy --system
# Or, if you use requirements.txt
# RUN pip install -r requirements.txt

# Copy the rest of your app code
COPY . .

# Set the entrypoint
ENTRYPOINT ["python", "path/to/your_entrypoint.py"]

### When to Use Pull Steps Even with a self-contained Docker image, there are scenarios where you might still want to use pull steps: - Dynamic Data: If your flow needs the latest data from an external source (e.g., S3), you might include a pull step for that data. - Configuration Management: If your configuration files are stored separately and need to be fetched during deployment. ### Example with Dynamic Data Pull

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yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    pull:
      - prefect_aws.deployments.steps.pull_from_s3:
          bucket: my-data-bucket
          folder: latest-data
          credentials: "{{ prefect.blocks.aws-credentials.my-credentials }}"
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-ecr-url/your-image:latest"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-ecr-url/your-image:latest"
    flow_name: your_flow_name
    entrypoint: path/to/your_flow.py:your_flow_function_name

### Conclusion If your Docker image includes all necessary code and dependencies, you can skip the pull section unless there are specific needs to fetch dynamic data or configurations. This simplifies the deployment process and ensures everything runs as expected from the self-contained Docker image.

Sarhan

08/02/2024, 2:13 AM

@Marvin how should I set the version of my deployment to be the github commit sha?

Marvin

08/02/2024, 2:13 AM

To set the version of your deployment to be the GitHub commit SHA, you can use GitHub Actions to dynamically inject the commit SHA into your

prefect.yaml

during the build process. Here's how you can achieve this: 1. Modify GitHub Action to Retrieve Commit SHA: Update your GitHub Actions workflow to retrieve the commit SHA and inject it into the

prefect.yaml

file. 2. Use Dynamic Versioning: Update the

prefect.yaml

to accept the versioning from an external environment variable or dynamically change the file during the workflow execution. ### GitHub Action Workflow Here’s an updated GitHub Action workflow that includes steps to set the deployment version to the GitHub commit SHA:

Copy code

yaml
name: Deploy Prefect flow

on:
  push:
    branches:
      - main

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v2

      - name: Log in to Docker Hub
        uses: docker/login-action@v1
        with:
          username: ${{ secrets.DOCKER_USERNAME }}
          password: ${{ secrets.DOCKER_PASSWORD }}

      - name: Setup Python
        uses: actions/setup-python@v2
        with:
          python-version: '3.11'

      - name: Get Commit SHA
        id: get_sha
        run: echo "::set-output name=sha::$(git rev-parse --short HEAD)"

      - name: Set Deployment Version in prefect.yaml
        run: |
          sed -i "s/version:.*/version: ${{ steps.get_sha.outputs.sha }}/" prefect.yaml

      - name: Build and Push Docker image
        run: |
          docker build -t ${{ secrets.DOCKER_USERNAME }}/your-image:${{ steps.get_sha.outputs.sha }} .
          docker push ${{ secrets.DOCKER_USERNAME }}/your-image:${{ steps.get_sha.outputs.sha }}

      - name: Install Prefect
        run: |
          pip install prefect

      - name: Prefect Deploy
        env:
          PREFECT_API_KEY: ${{ secrets.PREFECT_API_KEY }}
          PREFECT_API_URL: ${{ secrets.PREFECT_API_URL }}
        run: |
          prefect deploy -n my-deployment

###

prefect.yaml

Example Update your

prefect.yaml

to optionally accept dynamic versioning (injected from the GitHub Action):

Copy code

yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-docker-username/your-image:${COMMIT_SHA}"
    push:
      - prefect.deployments.steps.docker_push:
          image_name: "your-docker-username/your-image:${COMMIT_SHA}"
    flow_name: your_flow_name
    version: ${COMMIT_SHA}
    entrypoint: path/to/your_flow.py:your_flow_function_name

### Key Points: 1. Get Commit SHA: Retrieves the short commit SHA using

git rev-parse --short HEAD

. 2. Inject Commit SHA: Updates the

prefect.yaml

to set the

version

field to the commit SHA. 3. Dynamic Docker Tagging: Tags the Docker image with the commit SHA and pushes it to the registry. 4. Use Prefect API: Deploys the flow with Prefect using the updated

prefect.yaml

. By following these steps, your deployment version will dynamically correspond to the GitHub commit SHA, ensuring traceability and consistency across your deployments.

Sarhan

08/02/2024, 2:17 AM

@Marvin Is it necessary to have a push docker image step in both the github action and the prefect.yaml?

Marvin

08/02/2024, 2:18 AM

No, it is not necessary to have the push docker image step in both the GitHub Action workflow and the

prefect.yaml

. You should only include it in one place to avoid redundancy. ### Recommendations: 1. Using GitHub Actions for Docker Operations: - Build and push the Docker image within GitHub Actions. - Skip the

push

step in the

prefect.yaml

. Alternatively, 2. Using Prefect for Docker Operations: - Let Prefect handle the build and push steps as defined in the

prefect.yaml

. - Skip the Docker operations in the GitHub Action workflow. ### GitHub Actions Only If you're handling Docker builds and pushes within the GitHub Actions workflow, your

prefect.yaml

can be simplified by removing the

push

section: #### GitHub Actions Workflow with Docker Operations

Copy code

yaml
name: Deploy Prefect flow

on:
  push:
    branches:
      - main

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v2

      - name: Log in to Docker Hub
        uses: docker/login-action@v1
        with:
          username: ${{ secrets.DOCKER_USERNAME }}
          password: ${{ secrets.DOCKER_PASSWORD }}

      - name: Setup Python
        uses: actions/setup-python@v2
        with:
          python-version: '3.11'

      - name: Get Commit SHA
        id: get_sha
        run: echo "::set-output name=sha::$(git rev-parse --short HEAD)"

      - name: Set Deployment Version in prefect.yaml
        run: |
          sed -i "s/version:.*/version: ${{ steps.get_sha.outputs.sha }}/" prefect.yaml

      - name: Build and Push Docker image
        run: |
          docker build -t ${{ secrets.DOCKER_USERNAME }}/your-image:${{ steps.get_sha.outputs.sha }} .
          docker push ${{ secrets.DOCKER_USERNAME }}/your-image:${{ steps.get_sha.outputs.sha }}

      - name: Install Prefect
        run: |
          pip install prefect

      - name: Prefect Deploy
        env:
          PREFECT_API_KEY: ${{ secrets.PREFECT_API_KEY }}
          PREFECT_API_URL: ${{ secrets.PREFECT_API_URL }}
        run: |
          prefect deploy -n my-deployment

#### Simplified

prefect.yaml

Copy code

yaml
deployments:
  - name: my-deployment
    work_pool:
      name: my-ecs-work-pool
    build:
      - prefect.deployments.steps.docker_build:
          build_context: "."
          dockerfile: "Dockerfile"
          image_name: "your-docker-username/your-image:${COMMIT_SHA}"
    # No push step needed here
    flow_name: your_flow_name
    version: ${COMMIT_SHA}
    entrypoint: path/to/your_flow.py:your_flow_function_name

### Prefect Only If you prefer to use Prefect for both building and pushing the Docker image, your GitHub Actions workflow can be simplified: #### GitHub Actions Workflow without Docker Operations

Copy code

yaml
name: Deploy Prefect flow

on:
  push:
    branches:
      - main

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v2

      - name: Setup Python
        uses: actions/setup-python@v2
        with:
          python-version: '3.11'

      - name: Get Commit SHA
        id: get_sha
        run: echo "::set-output name=sha::$(git rev-parse --short HEAD)"

      - name: Set Deployment Version in prefect.yaml
        run: |
          sed -i "s/version:.*/version: ${{ steps.get_sha.outputs.sha }}/" prefect.yaml

      - name: Install Prefect
        run: |
          pip install prefect

      - name: Prefect Deploy
        env:
          PREFECT_API_KEY: ${{ secrets.PREFECT_API_KEY }}
          PREFECT_API_URL: ${{ secrets.PREFECT_API_URL }}
        run: |
          prefect deploy -n my-deployment

#### Full

prefect.yaml

```yaml deployments: - name: my-deployment work_pool: name: my-ecs-work-pool pull: - prefect.deployments.steps.git_clone: repository: "https://github.com/org/repo.git" build: - prefect.deployments.steps.docker_build:

Marvin

08/02/2024, 2:18 AM

build_context: "." dockerfile: "Dockerfile" image_name: "your-docker-username/your-image:${COMMIT_SHA}" push: - prefect.deployments.steps.docker_push: image_name: "your-docker-username/your-image:${COMMIT_SHA}" flow_name: your_flow_name version: ${COMMIT_SHA} entrypoint: path/to/your_flow.py:your_flow_function_name ``` ### Conclusion Choose one method to handle Docker image builds and pushes to keep your CI/CD process clean and avoid redundancy. Either: - Use GitHub Actions for building and pushing Docker images, or - Use Prefect's steps in

prefect.yaml

to manage the process. Both methods achieve the same goal but streamline your setup by centralizing the operations in one configuration.

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