<@ULVA73B9P> what is the best way to hide my githu...
# ask-marvin
d
@Marvin what is the best way to hide my github personal access token that is required to install a custom python library that I need inside my prefect docker container
m
To securely hide your GitHub Personal Access Token (PAT) when installing a custom Python library inside your Prefect Docker container, I recommend the following approach: 1. Use Prefect Secret Blocks: - Create a Prefect Secret block to store your GitHub PAT securely. - Reference this secret within your Prefect deployment configuration. Here is a step-by-step guide: 1. Create a GitHub PAT: - Go to GitHub -> Your Profile -> Developer Settings -> Personal access tokens. - Generate a new fine-grained token with the necessary repository access. 2. Create a Prefect Secret Block: - You can create the secret block via code:
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python
     from prefect.blocks.system import Secret
     # Replace 'your-token-here' with your actual token
     token = Secret(value="your-token-here")
     token.save(name="my-github-pat", overwrite=True)
3. Use the Secret Block in Your Deployment: - Reference the secret in your
prefect.yaml
or deployment script. For example:
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yaml
     pull:
       - prefect.deployments.steps.git_clone:
           repository: <https://github.com/my_username/my_private_repo.git>
           access_token: "{{ prefect.blocks.secret.my-github-pat }}"
4. Register GitHub Block (if using prefect-github): - Install and register the GitHub block if you're using the Prefect GitHub integration:
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bash
     pip install -U prefect-github
     prefect block register -m prefect_github
For more detailed guidance, you can refer to the Storage Guide in the Prefect documentation. This approach will ensure that your PAT is securely stored and used within your Prefect environment.
d
@Marvin show me what the pull: section would look like in a full prefect.yaml file
m
Here is an example of how your
prefect.yaml
can be structured, including the
pull
section with the GitHub credentials:
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yaml
# prefect.yaml
name: my-workflow
description: A workflow that pulls code from a private GitHub repository
version: 1.0.0

# Define the deployment
deployments:
  - name: my-deployment-name
    tags: ["example"]
    worker_pool:
      type: prefect-agent
      base_job_template: null
    schedule: null

    # The pull section to clone from the private GitHub repo
    pull:
      - prefect.deployments.steps.git_clone:
          repository: <https://github.com/my_username/my_private_repo.git>
          access_token: "{{ prefect.blocks.secret.my-github-pat }}"

    # The path to the entry-point
    entrypoint: "path/to/your_flow.py:my_workflow"
    
    parameters: {}  # Define any parameters for your flow here

    storage: null  # Define storage if needed
    infrastructure: null  # Define infrastructure if needed
This
prefect.yaml
file defines a deployment for a Prefect flow, including the section to pull code from a private GitHub repository using a GitHub PAT stored in a Prefect Secret block. Make sure to adjust the
entrypoint
to point to your flow's entry-point script.
d
@Marvin do you understand this is not to store the repo where the prefect.yaml file is. It is to install a custom python library from the requirements.txt file that the prefect image will require. please show me how to install an custom python library from requirements.txt file in a prefect image without having to write the github token in the requirements.txt file
m
To install a custom Python library from a private GitHub repository in a Prefect Docker image without exposing your GitHub token in the
requirements.txt
file, you can use build-time environment variables. Here's how you can do it: 1. Create a Dockerfile for your Prefect Docker image:
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dockerfile
   # Use the official Prefect image as the base image
   FROM prefecthq/prefect:latest

   # Set up build arguments to pass the GitHub token
   ARG GITHUB_TOKEN

   # Set environment variables
   ENV GITHUB_TOKEN=${GITHUB_TOKEN}

   # Install python packages from requirements.txt
   COPY requirements.txt /app/requirements.txt
   RUN pip install --upgrade pip
   RUN pip install --no-cache-dir -r /app/requirements.txt

   # Install the private library using the GitHub token
   RUN pip install --no-cache-dir git+https://${GITHUB_TOKEN}@github.com/my_username/my_private_repo.git

   # Copy the rest of your app's code
   COPY . /app

   # Set the working directory
   WORKDIR /app

   # Set the entrypoint for Prefect
   ENTRYPOINT ["prefect", "orion", "start"]
2. Create a requirements.txt file for other dependencies:
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txt
   # requirements.txt
   requests
   numpy
   # Add other dependencies
3. Build the Docker image using the build argument to pass the GitHub token:
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sh
   docker build --build-arg GITHUB_TOKEN=your_github_token_here -t my-prefect-image .
4. Run the Docker container:
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sh
   docker run my-prefect-image
By using this method, you pass the GitHub token securely during the Docker build process without including it in the
requirements.txt
file. For more detailed Docker-related Prefect usage, you can refer to the Prefect Docker Guide.
d
@Marvin once i have built the docker image show me how to deploy it to prefect cloud
m
After building your Docker image, you can deploy it in Prefect using the following steps: 1. Update your
prefect-deploy.yaml
file:
Create or update your
prefect.yaml
file to specify the deployment configuration. Here’s an example:
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yaml
   # prefect.yaml
   name: my-workflow
   description: A workflow that uses a Docker image

   # Define the deployment
   deployments:
     - name: my-docker-deployment
       tags: ["example"]
       worker_pool:
         type: prefect-agent
         base_job_template: null
       schedule: null

       # Docker block to define the Docker image
       infrastructure:
         type: docker-container
         image_name: my-prefect-image
         image_tag: latest

       # The path to the entry-point
       entrypoint: "/app/your_flow.py:my_workflow"
       
       parameters: {}  # Define any parameters for your flow here
2. Load the flow and create the deployment: You can create the deployment using the
prefect deployment build
and
prefect deployment apply
commands:
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sh
   # Load the flow from your Python script
   prefect deployment build path/to/your_flow.py:my_workflow --name my-docker-deployment --tag example --docker-image my-prefect-image:latest

   # Apply the deployment configuration
   prefect deployment apply my-workflow-deployment.yaml
3. Run the Deployment: Finally, you can run the deployment:
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sh
   prefect deployment run my-workflow/my-docker-deployment
This sequence ensures that your flow will be executed inside the Docker image you have built and specified in the deployment configuration. For more detailed instructions, refer to the Prefect documentation on Docker.
d
@Marvin how do pass a command line arg when running prefect deploy command to make the argument available during the prefect docker image building
m
To deploy your Docker image to Prefect Cloud, you can follow these steps. Additionally, I'll show you how to pass command-line arguments during the Prefect Docker image build process. ### 1. Create a Prefect Docker Image First, ensure you have the Dockerfile for building the image with build arguments. Here’s a reminder of our Dockerfile setup:
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dockerfile
# Use the official Prefect image as the base image
FROM prefecthq/prefect:latest

# Set up build arguments to pass the GitHub token
ARG GITHUB_TOKEN

# Set environment variables
ENV GITHUB_TOKEN=${GITHUB_TOKEN}

# Install python packages from requirements.txt
COPY requirements.txt /app/requirements.txt
RUN pip install --upgrade pip
RUN pip install --no-cache-dir -r /app/requirements.txt

# Install the private library using the GitHub token
RUN pip install --no-cache-dir git+https://${GITHUB_TOKEN}@github.com/my_username/my_private_repo.git

# Copy the rest of your app's code
COPY . /app

# Set the working directory
WORKDIR /app

# Set the entrypoint for Prefect
ENTRYPOINT ["prefect", "orion", "start"]
### 2. Build and Push the Docker Image Build the Docker image passing in the required argument:
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sh
docker build --build-arg GITHUB_TOKEN=your_github_token_here -t my-prefect-image .
docker tag my-prefect-image:latest your_dockerhub_username/my-prefect-image:latest
docker push your_dockerhub_username/my-prefect-image:latest
### 3. Create the
prefect.yaml
Configuration Create or modify the
prefect.yaml
for your Prefect deployment to include the Docker image:
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yaml
# prefect.yaml
name: my-workflow
description: A workflow that uses a Docker image

# Define the deployment
deployments:
  - name: my-docker-deployment
    tags: ["example"]
    worker_pool:
      type: process
      base_job_template: null
    schedule: null

    # Docker block to define the Docker image
    infrastructure:
      type: docker-container
      image: your_dockerhub_username/my-prefect-image:latest

    entrypoint: "/app/your_flow.py:my_workflow"
    parameters: {}
### 4. Deploy to Prefect Cloud 1. Build the Deployment:
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sh
   prefect deployment build path/to/your_flow.py:my_workflow --name my-docker-deployment
2. Apply the Deployment:
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sh
   prefect deployment apply my-workflow-deployment.yaml
3. Run the Deployment:
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sh
   prefect deployment run my-workflow/my-docker-deployment
### 5. Passing Command-Line Arguments to Docker Build To pass additional command-line arguments during the deployment, you can use the
--field
flag with the
prefect init
command or include them directly in your
prefect.yaml
file by adding a
build
step: Example of using
--field
flag:
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sh
prefect init --recipe docker --field image_name=your_dockerhub_username/my-prefect-image --field tag=latest
Example of adding a
build
step in `prefect.yaml`:
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yaml
build:
  - prefect_docker.deployments.steps.build_docker_image:
      requires: prefect-docker>=0.3.0
      image_name: your_dockerhub_username/my-prefect-image
      tag: latest
      dockerfile: auto
      push: true
For more detailed instructions on deploying with Docker, visit the Prefect Deployment Guide. This configuration ensures that your flow will be deployed to Prefect Cloud using the custom Docker image while securely passing necessary build arguments.