prefect-aws 0.1.5

Prefect collection of tasks and subflows to integrate with AWS

prefect-aws

Welcome!

prefect-aws is a collection of pre-built Prefect tasks that can be used to quickly construct Prefect flows that interact with Amazon Web Services.

Getting Started

Python setup

Requires an installation of Python 3.7+

We recommend using a Python virtual environment manager such as pipenv, conda or virtualenv.

These tasks are designed to work with Prefect 2.0. For more information about how to use Prefect, please refer to the Prefect documentation.

Installation

Install prefect-aws

pip install prefect-aws

Then, register to view the block on Prefect Cloud:

prefect block register -m prefect_aws.credentials

Note, to use the load method on Blocks, you must already have a block document saved through code or saved through the UI.

AWS Authentication

You will need to obtain AWS credentials in order to use these tasks. Refer to the AWS documentation for authentication methods available.

Write and run a flow with prefect-aws tasks

from prefect import flow
from prefect_aws import AwsCredentials
from prefect_aws.s3 import s3_upload

@flow
def example_s3_upload_flow():
    aws_credentials = AwsCredentials(
        aws_access_key_id="acccess_key_id",
        aws_secret_access_key="secret_access_key"
    )
    with open("data.csv", "rb") as file:
        key = s3_upload(
            bucket="bucket",
            key="data.csv",
            data=file.read(),
            aws_credentials=aws_credentials,
        )

example_s3_upload_flow()

Write and run a flow with AwsCredentials and S3Bucket

import asyncio
from prefect import flow
from prefect_aws import AwsCredentials
from prefect_aws.s3 import S3Bucket


@flow
async def aws_s3_bucket_roundtrip():
    # create an AwsCredentials block here or through UI
    aws_creds = AwsCredentials(
        aws_access_key_id="AWS_ACCESS_KEY_ID",
        aws_secret_access_key="AWS_SECRET_ACCESS_KEY"
    )

    s3_bucket = S3Bucket(
        bucket_name="bucket",  # must exist
        aws_credentials=aws_creds,
        basepath="subfolder",
    )

    key = await s3_bucket.write_path("data.csv", content=b"hello")

    return await s3_bucket.read_path(key)

asyncio.run(aws_s3_bucket_roundtrip())

Write and run an async flow by loading a MinIOCredentials block to use in S3Bucket

import asyncio
from prefect import flow
from prefect_aws import MinIOCredentials
from prefect_aws.s3 import S3Bucket

@flow
async def minio_s3_bucket_roundtrip():

    minio_creds = MinIOCredentials.load("MY_BLOCK_NAME")

    s3_bucket = S3Bucket(
        bucket_name="bucket",  # must exist
        minio_credentials=minio_creds,
        endpoint_url="http://localhost:9000"
    )

    path_to_file = await s3_bucket.write_path("/data.csv", content=b"hello")
    return await s3_bucket.read_path(path_to_file)

asyncio.run(minio_s3_bucket_roundtrip())

Next steps

Refer to the API documentation in the side menu to explore all the capabilities of Prefect AWS!

Resources

If you encounter and bugs while using prefect-aws, feel free to open an issue in the prefect-aws repository.

If you have any questions or issues while using prefect-aws, you can find help in either the Prefect Discourse forum or the Prefect Slack community

Feel free to ⭐️ or watch prefect-aws for updates too!

Development

If you'd like to install a version of prefect-aws for development, first clone the repository and then perform an editable install with pip:

git clone https://github.com/PrefectHQ/prefect-aws.git

cd prefect-aws/

pip install -e ".[dev]"