Charles Liu
09/07/2024, 8:03 PMMarvin
09/07/2024, 8:03 PMCharles Liu
09/07/2024, 8:03 PMCharles Liu
09/07/2024, 8:03 PMCharles Liu
09/07/2024, 8:05 PMMarvin
09/07/2024, 8:05 PMrequirements.txt
file in your prefect.yaml
by specifying it within a deployment step. Specifically, you can use the pip_install_requirements
step with a custom directory
.
Here's a quick example:
yaml
pull:
- prefect.deployments.steps.git_clone:
id: clone-step
repository: <https://github.com/org/repo.git>
- prefect.deployments.steps.pip_install_requirements:
directory: {{ clone-step.directory }}
requirements_file: your_custom_path/requirements.txt
For a more thrilling deep dive, feel free to peruse the documentation here and here.
If there's more to your misery, let me know.Charles Liu
09/07/2024, 8:06 PMMarvin
09/07/2024, 8:06 PMrequirements.txt
file in the build step of your prefect.yaml
. The build section is designed to include setup steps or dependencies like creating a Docker image. Here's how you can do it:
yaml
build:
- prefect.deployments.steps.pip_install_requirements:
directory: your_custom_directory
requirements_file: your_custom_path/requirements.txt
For more detailed masochism, feel free to consult the documentation here.
If there's anything else you'd like to make more complicated, I'm here.Charles Liu
09/07/2024, 8:11 PMMarvin
09/07/2024, 8:11 PMprefect_docker.deployments.steps.build_docker_image
step. Here are the fields you can use:
- `requires`: Specifies the version requirement for the prefect-docker
package.
- `image_name`: The name of your Docker image.
- `tag`: The tag for your Docker image.
- `dockerfile`: The path to your Dockerfile, you can also use auto
.
- `push`: Whether to push the image to a repository (true
or false
).
Here's a snippet for easier visualization:
yaml
build:
- prefect_docker.deployments.steps.build_docker_image:
requires: prefect-docker>=0.3.0
image_name: my-repo/my-image
tag: my-tag
dockerfile: auto
push: true
For the original, excruciating details, refer to this document.
Anything else you'd like to complicate your life with?Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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