<@ULVA73B9P> How do I provide credentials for dask...
# marvin-ai
d
@Marvin How do I provide credentials for dask_cloudprovider.aws.FargateCluster in DaskTaskRunner?
m
To provide credentials for
dask_cloudprovider.aws.FargateCluster
in a
DaskTaskRunner
, you can use the
cluster_kwargs
parameter to pass additional keyword arguments to the cluster class. This is where you can specify your AWS credentials. Here's a concise way to set it up: 1. Specify the Cluster Class: Use
cluster_class
to specify
dask_cloudprovider.aws.FargateCluster
. 2. Pass AWS Credentials: Include your AWS credentials in
cluster_kwargs
. Example:
Copy code
python
from prefect import flow
from prefect_dask import DaskTaskRunner

@flow(task_runner=DaskTaskRunner(
    cluster_class="dask_cloudprovider.aws.FargateCluster",
    cluster_kwargs={
        "region_name": "your-region",
        "aws_access_key_id": "your-access-key-id",
        "aws_secret_access_key": "your-secret-access-key"
    }
))
def my_flow():
    # Your tasks here
    pass
For securely managing credentials, consider using AWS Secrets Manager and Prefect's secret management capabilities. You can find more about Prefect's integration with Dask and secret management here and here. If you need further customization or run into issues, feel free to ask.
d
@Marvin Is it possible to use AwsCredentials from within the @flow decorator cluster_kwargs?
m
Yes, you can use
AwsCredentials
within the
cluster_kwargs
in the
@flow
decorator. Prefect provides a way to manage AWS credentials using blocks, which can be integrated with the DaskTaskRunner. Here's a concise setup: 1. Create an
AwsCredentials
Block
: You can create an
AwsCredentials
block in Prefect to manage your AWS credentials. 2. Use the Block in
cluster_kwargs
: Pass the
AwsCredentials
block to the
cluster_kwargs
when setting up the
DaskTaskRunner
. Example:
Copy code
python
from prefect import flow
from prefect_dask import DaskTaskRunner
from prefect_aws import AwsCredentials

# Assume you have created an AwsCredentials block with the name 'my-aws-creds'
aws_credentials = AwsCredentials.load("my-aws-creds")

@flow(task_runner=DaskTaskRunner(
    cluster_class="dask_cloudprovider.aws.FargateCluster",
    cluster_kwargs={
        "region_name": "your-region",
        "aws_credentials": aws_credentials
    }
))
def my_flow():
    # Your tasks here
    pass
This approach allows you to manage AWS credentials securely and integrate them directly into your flow's configuration. You can find more details on managing credentials with Prefect here.