Airflow S3hook [extra Quality] Download File Info

from airflow import DAG from airflow.operators.python import PythonOperator from airflow.providers.amazon.aws.hooks.s3 import S3Hook from datetime import datetime import os def download_s3_file(key, bucket, local_dir): # Initialize the Hook using your connection ID hook = S3Hook(aws_conn_id='my_s3_conn') # Download the file to a specific local directory # Note: download_file returns the full path of the downloaded file downloaded_path = hook.download_file( key=key, bucket_name=bucket, local_path=local_dir ) print(f"File downloaded successfully to: {downloaded_path}") return downloaded_path with DAG( dag_id='s3_hook_download_example', start_date=datetime(2024, 1, 1), schedule_interval=None, catchup=False ) as dag: download_task = PythonOperator( task_id='download_from_s3', python_callable=download_s3_file, op_kwargs={ 'key': 'raw_data/inventory.csv', 'bucket': 'my-company-data-bucket', 'local_dir': '/tmp/airflow_downloads/' } ) Use code with caution. Important Considerations

Below is a standard pattern for downloading a file using the PythonOperator and S3Hook . airflow s3hook download file

To download files from Amazon S3 within an Apache Airflow DAG, the is the standard tool. It acts as a high-level wrapper around the boto3 library, allowing you to interact with S3 buckets without writing complex SDK code. Understanding the S3Hook download_file Method from airflow import DAG from airflow

The full path to the object within your S3 bucket (e.g., data/logs/file.csv ). bucket_name (str): The name of the S3 bucket. It acts as a high-level wrapper around the