Daniel
08/01/2024, 9:50 AMMarvin
08/01/2024, 9:51 AMpython
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:
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:
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.Daniel
08/01/2024, 10:06 AMMarvin
08/01/2024, 10:06 AMprefect.yaml
can be structured, including the pull
section with the GitHub credentials:
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.Daniel
08/01/2024, 10:08 AMMarvin
08/01/2024, 10:08 AMrequirements.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:
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:
txt
# requirements.txt
requests
numpy
# Add other dependencies
3. Build the Docker image using the build argument to pass the GitHub token:
sh
docker build --build-arg GITHUB_TOKEN=your_github_token_here -t my-prefect-image .
4. Run the Docker container:
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.Daniel
08/01/2024, 10:12 AMMarvin
08/01/2024, 10:13 AMprefect-deploy.yaml
file:
Create or update your prefect.yaml
file to specify the deployment configuration. Here’s an example:
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:
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:
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.Daniel
08/01/2024, 11:04 AMMarvin
08/01/2024, 11:04 AMdockerfile
# 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:
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:
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:
sh
prefect deployment build path/to/your_flow.py:my_workflow --name my-docker-deployment
2. Apply the Deployment:
sh
prefect deployment apply my-workflow-deployment.yaml
3. Run the Deployment:
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:
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`:
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.