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Install an integration package

Install an integration package with pip. For example, to install prefect-aws you can:
  • install the package directly:
pip install prefect-aws
  • install the corresponding extra:
pip install 'prefect[aws]'
See the project.optional-dependencies section of pyproject.toml for the full list of extras and the versions they specify.

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Register blocks from an integration

Once the package 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.

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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

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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()