<@ULVA73B9P> when upgrading to worker from agent I...
# marvin-in-the-wild
j
@Marvin when upgrading to worker from agent I get this error: "ValueError: Failed to find the default VPC. Network configuration cannot be inferred. Pass an explicit
vpc_id
or configure a default VPC." How can I resolve this?
m
You mentioned an error with upgrading to a worker from an agent regarding the default VPC. Let's look into this. To get a precise solution, I need to know which version of Prefect you are using. Could you please specify the version of Prefect you're working with?
j
@Marvin 2.20
m
The error you're encountering is related to the AWS ECS Worker configuration in Prefect 2.20. Specifically, it seems that the worker cannot find the default VPC, which is necessary for network configuration. To resolve this: 1. Pass an Explicit `vpc_id`: When deploying the worker, explicitly pass the
vpc_id
. This can be done by configuring the network settings within the worker or the work pool configuration. 2. Ensure Proper AWS Configuration: Make sure that your AWS environment has a default VPC configured. If not, you may need to create one. For more detailed guidance, you can refer to the following relevant documentation: - Upgrading from Agents to Workers - Prefect AWS ECS Worker Documentation If you have further issues, you might need to verify your AWS setup or consult Prefect's community forums or GitHub issues for similar cases.
j
@Marvin how do I migrate from using build_from_flow to flow.deploy?
m
To migrate from using
Deployment.build_from_flow
to
flow.deploy
, follow these steps: 1. Replace
infrastructure
with `work_pool_name`:
- Use the name of the created work pool if you have used the
.publish_as_work_pool
method on your infrastructure block. 2. Replace
infra_overrides
with `job_variables`:
- Translate your infrastructure overrides directly into job variables. 3. Replace
storage
with a call to `flow.from_source`:
- Load your flow from a remote storage location using
flow.from_source
. Below are some examples of how to translate from
Deployment.build_from_flow
to `flow.deploy`:
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python
# Old way
deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-deployment",
    ...
)

# New way
my_flow.deploy(
    work_pool_name="my_work_pool",
    job_variables={...},
    source=flow.from_source(...)
)
For more details, refer to these documents: - Upgrade Guide from Agents to Workers - Prefect 2.x Deployment Tutorial This will ensure a smoother transition to using
flow.deploy
with updated configurations.
j
@Marvin how can I upgrade this deprecation warning PrefectDeprecationWarning: prefect_aws.ecs.ECSTask has been deprecated
m
The
prefect_aws.ecs.ECSTask
class has been deprecated, and you should switch to using the ECS worker instead. Follow these steps to upgrade: 1. Switch to ECS Worker: Instead of using
ECSTask
, use the ECS Worker class provided by Prefect. 2. Refer to the Upgrade Guide: The Upgrade Guide from Agents to Workers offers detailed instructions on how to make this change. Here's an example of how to transition:
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python
# Deprecated method
from prefect_aws.ecs import ECSTask

ecs_task = ECSTask(
    ...
)

# New method
from prefect.infrastructure import ECSWorker

ecs_worker = ECSWorker(
    ...
)
By following the guide and replacing
ECSTask
with
ECSWorker
, you should be able to resolve the deprecation warning. For more detailed information on configuring and using the ECS Worker, refer to Prefect AWS ECS Integration.
j
@Marvin how can I make an ecs task block using the prefect sdk
m
To create an ECS task block using the Prefect SDK, you can follow these steps. Here’s an example of how to set up and save an ECS task block: 1. Install Required Prefect and AWS Libraries: Ensure you have the necessary packages installed.
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bash
    pip install prefect prefect-aws
2. Define and Save the ECS Task Block:
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python
from prefect_aws.ecs import ECSTask

# Define your ECS task settings
ecs_settings = {
    "task_role_arn": "arn:aws:iam::123456789012:role/my-task-role",
    "execution_role_arn": "arn:aws:iam::123456789012:role/my-execution-role",
    "vpc_id": "vpc-12345678",
    "subnets": ["subnet-12345678", "subnet-87654321"],
    "security_groups": ["sg-12345678"],
    # Add any other ECS Task settings you need
}

# Create an ECS task instance
ecs_task = ECSTask(**ecs_settings)

# Save the ECS Task block
ecs_task.save(name="my-ecs-task-block", overwrite=True)
3. Use the Block in a Prefect Flow:
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python
from prefect import flow
from prefect_aws.ecs import ECSTask

@flow
def my_flow():
    ecs_task_block = ECSTask.load("my-ecs-task-block")
    # Use the ecs_task_block as needed within your flow

if __name__ == "__main__":
    my_flow()
For more detailed guidance, refer to the Prefect AWS ECS Integration Guide. This guide will help you with all the necessary steps, including creating and using ECS Task blocks within your Prefect flows. For additional details or troubleshooting, you can visit the Prefect Moving Data Guide.
j
@Marvin how do I use ecs_worker in prefect sdk
m
To use
ecs_worker
in the Prefect SDK, follow these steps: 1. Install Required Libraries: Ensure you have the necessary packages installed:
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bash
   pip install prefect prefect-aws
2. Configure and Use ECS Worker: Here's an example of how to set up and use an ECS worker in the Prefect SDK:
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python
from prefect_aws.ecs import ECSWorker

# Define ECS Worker configuration
ecs_worker = ECSWorker(
    work_pool_name="your_work_pool",
    task_role_arn="arn:aws:iam::123456789012:role/my-ecs-task-role",
    execution_role_arn="arn:aws:iam::123456789012:role/my-ecs-execution-role",
    cluster="your-ecs-cluster",
    subnets=["subnet-12345678", "subnet-87654321"],
    security_groups=["sg-12345678"],
    region_name="us-west-1",
    task_definition={
        'family': 'your-task-family',
        'containerDefinitions': [{
            'name': 'your-container',
            'image': 'your-container-image',
            'cpu': 256,
            'memory': 512,
            'essential': True,
            'networkMode': 'awsvpc',
        }],
    },
)

# Save ECS Worker configuration
ecs_worker.save(name="my-ecs-worker", overwrite=True)

# Load and use ECS Worker in a Prefect flow
from prefect import flow
from prefect_aws.ecs import ECSWorker

@flow
def my_flow():
    # Load the saved ECS Worker
    loaded_worker = ECSWorker.load("my-ecs-worker")
    # Use the worker as needed in your flow

# Execute the flow
if __name__ == "__main__":
    my_flow()
3. Create and Configure Work Pools: Ensure you have defined work pools appropriately. Users typically do this via the Prefect UI or Prefect commands. For more detailed guidance on setting up and using ECS Workers, refer to the ECS Guide.