@Marvin Flow run could not be submitted to infrastructure: Failed to find the default VPC. Network configuration cannot be inferred. Pass an explicit

vpc_id

or configure a default VPC.

The error message you're encountering indicates that Prefect is unable to find a default Virtual Private Cloud (VPC) for your infrastructure. This often arises when using cloud providers like AWS, where a VPC is necessary for network configuration. ### Possible Solutions: 1. Specify a VPC ID: You can explicitly pass a

vpc_id

when configuring your infrastructure to avoid this error. This ensures that Prefect knows which VPC to utilize. 2. Set Up a Default VPC: Ensure that your AWS account has a default VPC configured. This can often be set up via the AWS Management Console. If you don't have a default VPC, you might need to create one. 3. AWS CLI Configuration: Make sure your AWS CLI is installed, authenticated, and set with a default region. Prefect requires this setup to interact with AWS resources. 4. Permissions: Ensure that your AWS account has the necessary permissions to access and manage VPCs. This includes permissions like

ec2:DescribeVpcs

. For more detailed guidance, you might want to explore the Prefect documentation on serverless infrastructure setup. If you continue to face issues, consider checking the Prefect GitHub issues for any similar reports or additional troubleshooting steps.

@Marvin where can I specify a VPC ID?

To specify a VPC ID in Prefect, you typically need to configure your infrastructure block with the

vpc_id

parameter. This is often done when setting up infrastructure for flows that run on cloud platforms like AWS. Unfortunately, the specific documentation detailing this configuration wasn't found in the search results. However, generally, you would configure your infrastructure settings in Prefect to include the

vpc_id

when defining your AWS ECS tasks or similar cloud resources. This is typically done in the Prefect Cloud UI or through your deployment scripts. For more detailed guidance, you might want to explore the Prefect documentation on serverless infrastructure setup, which could provide insights into how to configure infrastructure settings, including specifying a VPC ID. If you're using a specific infrastructure block, ensure that it supports a

vpc_id

parameter and check its documentation for details on how to specify it.

@Marvin would i specify this in the base job template?

In Prefect, a base job template can indeed be used to specify configurations such as a

vpc_id

. The base job template consists of two main sections:

job_configuration

and

variables

. 1. Variables Section: This defines fields that can be customized per deployment or flow run. It follows the OpenAPI specification, allowing you to define constraints like type and value limits. 2. Job Configuration Section: This section is interpolated with values from the variables section. You can use placeholders to reference these values or set hard-coded values directly. To specify a

vpc_id

, you would typically include it in the

variables

section and then reference it in the

job_configuration

section. Here's a conceptual example:

json
{
  "variables": {
    "vpc_id": {
      "type": "string",
      "description": "The VPC ID to use for the AWS infrastructure",
      "default": "vpc-12345678"
    }
  },
  "job_configuration": {
    "network": {
      "vpc_id": "{{ variables.vpc_id }}"
    }
  }
}

This template allows you to define a

vpc_id

that can be customized per deployment but defaults to a specified value if not provided. For more details, you can refer to the Prefect documentation on work pools and base job templates.

@Marvin - okay, and to use this template in my automation how would i populate values like {{ variables.vpc_id }}?

To populate values like

{{ variables.vpc_id }}

in a base job template for your Prefect automation, you can use the

prefect.yaml

deployment configuration file. This file allows you to define job variables that will be injected into the job template at runtime. ### Steps to Populate Variables: 1. Define Job Variables in `prefect.yaml`: You can specify job variables directly in your

prefect.yaml

file under a

job_variables

section. This is where you set values for placeholders used in your job template.

yaml
   job_variables:
     vpc_id: "vpc-12345678"

2. Use Environment Variables: If you want to dynamically set these variables based on your environment, you can use the templating syntax

{{ $ENV_VAR_NAME }}

. This requires that the environment variable is set on the machine where the

prefect deploy

command is run.

yaml
   job_variables:
     vpc_id: "{{ $AWS_VPC_ID }}"

3. Deploy with Prefect: Use the

prefect deploy

command to deploy your flow with these job variables. The values will be used to replace the placeholders in your job configuration. For more details, you can refer to the Prefect documentation on customizing deployments. This approach allows you to manage and customize your infrastructure settings effectively for different environments.

@Marvin i see, so the prefect.yaml file is where i should specify these.

Yes, exactly. The

prefect.yaml

file is the right place to specify these job variables for your deployments. It acts as a configuration file where you can define various settings, including job variables that will be used to populate placeholders in your job templates. This setup allows you to manage configurations centrally and deploy your flows with the desired infrastructure settings. If you have any more questions or need further assistance, feel free to ask.

thank you