Use integrations

Prefect integrations are PyPI packages you can install to help you build integrate your workflows with third parties.

Install an integration package

Install an integration package with pip.

For example, to use prefect-aws:

pip install -U prefect-aws

Register blocks from an integration

Once the packages is installed, register the blocks within the integration to view them in the Prefect Cloud UI:

For example, to register the blocks available in prefect-aws:

prefect block register -m prefect_aws

To use a block’s load method, you must have a block saved. Learn more about blocks.

Use tasks and flows from an Integration

Integrations may contain pre-built tasks and flows that can be imported and called within your code.

For example, read a secret from AWS Secrets Manager with the read_secret task with the following code:

from prefect import flow
from prefect_aws import AwsCredentials
from prefect_aws.secrets_manager import read_secret

@flow
def connect_to_database():
    aws_credentials = AwsCredentials.load("MY_BLOCK_NAME")
    secret_value = read_secret(
        secret_name="db_password",
        aws_credentials=aws_credentials
    )

    # Then, use secret_value to connect to a database

Customize tasks and flows from an integration

To customize pre-configured tasks or flows use with_options. For example, configure retries for dbt Cloud jobs:

from prefect import flow
from prefect_dbt.cloud import DbtCloudCredentials
from prefect_dbt.cloud.jobs import trigger_dbt_cloud_job_run_and_wait_for_completion


custom_run_dbt_cloud_job = trigger_dbt_cloud_job_run_and_wait_for_completion.with_options(
    name="Run My DBT Cloud Job",
    retries=2,
    retry_delay_seconds=10
)

@flow
def run_dbt_job_flow():
    run_result = custom_run_dbt_cloud_job(
        dbt_cloud_credentials=DbtCloudCredentials.load("my-dbt-cloud-credentials"),
        job_id=1
    )


if __name__ == "__main__":  
    run_dbt_job_flow()