Andy Irvine
10/14/2024, 8:51 PMprefect --no-prompt deploy -n data
- prefect.deployments.steps.git_clone:
repository: <https://gitlab.com/vee-engineering/services/irs-data.git>
branch: '{{ env.DEPLOYMENT_BRANCH }}'
access_token: '{{ prefect.blocks.secret.gitlab-prefect-pipelines}}'
Nate
10/14/2024, 8:52 PM'{{ env.DEPLOYMENT_BRANCH }}'
for
'{{ $DEPLOYMENT_BRANCH }}'
Marvin
10/14/2024, 8:52 PMjob_variables
section in the prefect.yaml
file. Here's a guide on how you can structure your deployment file with environment variables:
You might want to define your deployment configuration similar to this format:
yaml
deployments:
- name: your-deployment
entrypoint: your_project/your_flow.py:flow_function
work_pool:
name: your_work_pool
pull:
- prefect.deployments.steps.git_clone:
repository: <https://your-repo-url.git>
branch: '{{ env.DEPLOYMENT_BRANCH }}'
access_token: '{{ prefect.blocks.secret.gitlab-prefect-pipelines }}'
# Add job variables here
job_variables:
env:
DEPLOYMENT_BRANCH: "your-default-branch"
This way, you use env.DEPLOYMENT_BRANCH
as an environment variable which can be substituted at deploy-time. Make sure that your environment is configured to recognize these environment variables when deploying.
You can find more details in the Prefect documentation here: Prefect Deployment Guide.Marvin
10/14/2024, 8:52 PMpull
section. To substitute environment variables, you'll need to handle it within Prefect's YAML configuration by setting certain parameters.
According to the Prefect documentation, for shell scripts, you can use the expand_env_vars
option in your run_shell_script
step to ensure environment variables are expanded. However, this is specific to shell scripts and might not work directly as expected in the git_clone
step.
Here's a relevant excerpt about the setup to expand environment variables:
"To expand environment variables in your shell script, set expand_env_vars: true in your run_shell_script step."
For deployment configurations like yours, consider using Prefect blocks or configuration parameters that are set programmatically or by other means rather than relying on direct in-line substitution in the YAML file.
For further information and examples, you might want to explore:
- Expanding environment variables in specific steps: https://docs-2.prefect.io/latest/guides/prefect-deploy/
- Deployment configurations and job variables related to environment customization: https://docs-2.prefect.io/latest/guides/deployment/overriding-job-variables/
If your use case must absolutely incorporate direct environment variable usage in the YAML, you might need to explore additional scripting or environment setup processes external to Prefect to pre-process these files before deployment.Andy Irvine
10/14/2024, 8:52 PMMarvin
10/14/2024, 8:52 PMpull
section for deployment with Prefect 2.x, you need to follow a specific approach as environment variables are not expanded by default.
Here’s a way to handle environment variables during deployment:
1. Global Job Variables in Deployment: You can add environment variables through the job_variables
section in your prefect.yaml
file. Although this typically applies to job execution rather than deployment, it's the closest Prefect's documentation provides in terms of handling environment variables in deployments.
Example:
deployments:
- name: demo-deployment
entrypoint: demo_project/demo_flow.py:some_work
work_pool:
name: local
job_variables:
env:
DEPLOYMENT_BRANCH: main # Replace with your environment variable
2. Expanding Environment Variables in Scripts: If you're running a shell script as part of a deployment or job, you need to set expand_env_vars: true
to expand environment variables.
Example:
- prefect.deployments.steps.run_shell_script:
id: get-user
script: echo $USER
stream_output: true
expand_env_vars: true
Unfortunately, the direct substitution of environment variables in the git_clone
step, as you have written, isn't directly supported or documented by Prefect for deployment at this stage. You might need to manually resolve them before running the deployment command.
For more details, you can refer to these resources:
- Overriding Job Variables
- Deploying with Prefect
No relevant issues were found in GitHub that provide alternative solutions for this specific requirement. If needed, consider filing a GitHub issue for this feature request.Nate
10/14/2024, 8:53 PMMarvin
10/14/2024, 8:53 PMgit_clone
step of the deployment YAML file. Here are some approaches you could consider:
1. Pre-Processing the YAML File: Before you run the prefect deploy
command, use a script to pre-process your deployment YAML file. This script can replace placeholders (e.g., {{ env.DEPLOYMENT_BRANCH }}
) with actual environment variable values.
2. Using a Template Engine: Tools like Jinja2 can be used in a pre-deployment step to render your YAML file with environment variables. You can incorporate this into a build process or script that you run before deploying with Prefect.
3. External Configuration Management: Consider using an external configuration management tool to handle your deployment configurations if your deployment process is highly dynamic and frequently requires environment-based adjustments.
4. Custom Prefect Commands: Write a custom script or Prefect command to handle the deployment process, resolving environment variables programmatically and dynamically constructing the deployment setup as required.
While these methods require additional setup outside of Prefect, they allow the flexibility needed to insert environment variables into deployment configurations. If you have a workflow that fits into any CI/CD pipeline, integrating it there could also be beneficial.
Keep in mind, Prefect's documentation or updates might introduce more native support in the future, so staying up-to-date with their latest releases can be helpful.Andy Irvine
10/14/2024, 8:54 PMbranch: '{{ $DEPLOYMENT_BRANCH }}'
works. Thanks @NateNate
10/14/2024, 8:54 PM