< Marvin> How do I change the prefect logging level for a de Prefect Community #ask-marvin

file, you need to set the appropriate environment variables. You can configure logging by setting environment variables or Prefect Profile settings using the

PREFECT_LOGGING_[PATH]_[TO]_[KEY]

syntax. Here's an example of how you might include the relevant environment variables in the

prefect.yaml

file:

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yaml
name: my-project
prefect-version: 2.16.1

build: null
push: null
pull: null

deployments:
- name: my-deployment
  version: null
  tags: []
  description: null
  entrypoint: main.py:main_flow
  parameters: {}
  work_pool:
    name: my-work-pool
    work_queue_name: null
    job_variables: {}
  schedules: []
  environment:
    # Set the logging level to DEBUG
    PREFECT_LOGGING_LEVEL: "DEBUG"

References: - Logging in Prefect I hope this helps. Feel free to reach out if you have any more questions.

Alex Ilyin

05/29/2024, 5:35 PM

@Marvin how do I pass the deployment name as a variable in prefect.yaml

Marvin

05/29/2024, 5:35 PM

To pass the deployment name as a variable in the

prefect.yaml

file, you can define job variables within the deployment section of the configuration file. Here's an example of how to accomplish this:

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yaml
name: my-project
prefect-version: 2.16.1

build: null
push: null
pull: null

deployments:
- name: ${DEPLOYMENT_NAME}  # Using an environment variable
  version: null
  tags: []
  description: null
  entrypoint: main.py:main_flow
  parameters: {}
  work_pool:
    name: my-work-pool
    work_queue_name: null
    job_variables:
      env:
        DEPLOYMENT_NAME: my-deployment  # Set the deployment name here
  schedules: []
  environment:
    # Set the logging level to DEBUG
    PREFECT_LOGGING_LEVEL: "DEBUG"

In this example, the

name

of the deployment is set to use an environment variable

${DEPLOYMENT_NAME}

, and within

job_variables

, we specify the actual deployment name. Please note that Prefect will need the deployment name to be resolved before it deploys the flow, so you would typically use an environment variable or another method to inject the value. References: - Prefect Deployment Documentation - Overriding Job Variables in Prefect I trust this clarifies the process. If you need further assistance, feel free to ask.

Alex Ilyin

05/29/2024, 5:36 PM

@Marvin how do I use jinja templating to access the name of a deployment in prefect.yaml

Marvin

05/29/2024, 5:37 PM

To use Jinja templating to access the name of a deployment in the

prefect.yaml

file, you can use templating syntax within your configuration. Here's an example that demonstrates how to use Jinja templating for the deployment name:

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yaml
name: my-project
prefect-version: 2.16.1

build: null
push: null
pull: null

deployments:
- name: "{{ DEPLOYMENT_NAME }}"
  version: null
  tags: []
  description: null
  entrypoint: main.py:main_flow
  parameters: {}
  work_pool:
    name: my-work-pool
    work_queue_name: null
    job_variables:
      env:
        DEPLOYMENT_NAME: "{{ DEPLOYMENT_NAME }}"
  schedules: []
  environment:
    PREFECT_LOGGING_LEVEL: "DEBUG"

In this example,

{{ DEPLOYMENT_NAME }}

serves as a placeholder for the actual deployment name, which you can provide via environment variables or other configuration mechanisms. Here are the steps to pass environment variables: 1. Set the Environment Variable Before running the Prefect deployment, set the environment variable:

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bash
   export DEPLOYMENT_NAME="my-deployment"

2. Deploy with Prefect When you deploy with Prefect, it will substitute the

{{ DEPLOYMENT_NAME }}

placeholder with the value from the environment variable. References: - Prefect Deployment Documentation This approach allows you to dynamically set the deployment name in your

prefect.yaml

file using Jinja templating. If you have more questions or need further assistance, don't hesitate to ask!

Alex Ilyin

05/29/2024, 5:38 PM

@Marvin how can I use the name of a deployment in a work pool definition if the deployment name is statically set

Marvin

05/29/2024, 5:39 PM

If you need to statically set the deployment name in the

prefect.yaml

file and then use this name in the work pool definition, you can refer to the deployment name directly by using YAML anchors and aliases. This approach lets you define a variable-like structure. Here’s an example of how you can accomplish this:

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yaml
name: my-project
prefect-version: 2.16.1

build: null
push: null
pull: null

deployments:
- &deployment1  # Define and anchor for deployment-1
  name: my-deployment-1
  version: null
  tags: []
  description: null
  entrypoint: main.py:main_flow
  parameters: {}
  work_pool:
    name: my-deployment-1-pool  # Use the deployment name directly
    work_queue_name: null
    job_variables: {}
  schedules: []
  environment:
    PREFECT_LOGGING_LEVEL: "DEBUG"

- <<: *deployment1  # Re-use the deployment-1 settings
  name: my-deployment-2  # Override the name and other fields as necessary
  work_pool:
    name: my-deployment-2-pool  # Provide a different work pool name
    work_queue_name: null
    job_variables: {}
  schedules: []
  environment:
    PREFECT_LOGGING_LEVEL: "INFO"

In the example above: - The

&deployment1

creates an anchor for the first deployment. - The

<<: *deployment1

uses the alias to pull in settings from the first deployment, allowing you to override specific fields like

name

and

work_pool

as needed. However, Jinja templating should work dynamically within the YAML file. If you prefer using Jinja, you would have to set environment variables separately and render the file using Jinja:

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yaml
name: my-project
prefect-version: 2.16.1

build: null
push: null
pull: null

deployments:
- name: {{ DEPLOYMENT_NAME }}
  version: null
  tags: []
  description: null
  entrypoint: main.py:main_flow
  parameters: {}
  work_pool:
    name: {{ DEPLOYMENT_NAME }}-pool  # Use the Jinja templating syntax
    work_queue_name: null
    job_variables: {}
  schedules: []
  environment:
    PREFECT_LOGGING_LEVEL: "DEBUG"

Ensure you set the

DEPLOYMENT_NAME

environment variable before deploying with Prefect. References: - Prefect Deployment Documentation - Work Pools Documentation This should allow you to set and use deployment-specific names in a structured and maintainable way. Let me know if you have any further questions!

Alex Ilyin

05/29/2024, 5:53 PM

@Marvin how do I use the jinja tag {{ deployment.name }}

Marvin

05/29/2024, 5:53 PM

Based on the available documentation, there isn't explicit reference material directly supporting the use of Jinja templating with

{{ deployment.name }}

inside

prefect.yaml

. However, you can use Jinja templating within Prefect's configuration to dynamically refer to deployment names or other parameters. Here’s an example of how you might achieve this using Jinja templating: 1. Define your
prefect.yaml
file:

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yaml
    name: my-project
    prefect-version: 2.16.1
    
    build: null
    push: null
    pull: null
    
    deployments:
    - name: my-deployment
      version: null
      tags: []
      description: null
      entrypoint: main.py:main_flow
      parameters: {}
      work_pool:
        name: {{ deployment.name }}-pool  # Use Jinja templating here
        work_queue_name: null
        job_variables: {}
      schedules: []
      environment:
        PREFECT_LOGGING_LEVEL: "DEBUG"

2. Render the YAML file with Jinja before deploying: You can use a tool like

jinja2

to render the template file beforehand. Here's an example using Python:

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python
    from jinja2 import Template

    # Read the template
    with open('prefect.yaml', 'r') as file:
        template = Template(file.read())
    
    # Render the template with variables
    rendered_content = template.render(deployment={'name': 'my-deployment'})
    
    # Write the rendered content to a new YAML file
    with open('rendered_prefect.yaml', 'w') as file:
        file.write(rendered_content)

This approach reads the

prefect.yaml

file, uses Jinja to render the variables, and writes the rendered content to a new file that Prefect can then consume. 3. Deploy using Prefect:

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bash
    prefect deploy --name my-deployment --file rendered_prefect.yaml

In this way, you can dynamically include the deployment name in various parts of your

prefect.yaml

file. If there is built-in Jinja handling within Prefect that supports a more integrated approach, it is not well-documented at this time. For more details on deploying and templating options, you can refer to the deployment documentation: - Prefect Deployment Documentation - Work Pools Documentation I hope this helps! If you have further questions or need additional assistance, feel free to reach out.

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