49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
import os
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import tarfile
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from datetime import timedelta
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import pendulum
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from airflow.decorators import dag
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from airflow.decorators import task
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from airflow.providers.amazon.aws.hooks.s3 import S3Hook
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S3_CONN_ID = os.getenv("S3_CONN_ID", "s3_conn")
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EXECUTION_TIMEOUT = int(os.getenv("EXECUTION_TIMEOUT", 6))
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default_args = {
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"execution_timeout": timedelta(hours=EXECUTION_TIMEOUT),
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"retries": int(os.getenv("DEFAULT_TASK_RETRIES", 1)),
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"retry_delay": timedelta(seconds=int(os.getenv("DEFAULT_RETRY_DELAY_SECONDS", 60))),
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}
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@dag(
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start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
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schedule=None,
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catchup=False,
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default_args=default_args,
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params={
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"src_key": "File to untar",
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"src_bucket": "bucket containing the zip file",
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"dst_key_prefix": "",
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"dst_bucket": "bucket that will contain unzipped files"
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},
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tags=["s3"],
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)
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def s3_untar():
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@task
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def untar(**context):
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hook = S3Hook(S3_CONN_ID, transfer_config_args={'use_threads': False})
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s3_obj = hook.get_key(context["params"]["src_key"], bucket_name=context["params"]["src_bucket"])
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with tarfile.TarFile(fileobj=s3_obj.get()["Body"], mode='r') as tar:
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for member in tar:
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hook.load_file_obj(tar.extractfile(member.name),
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context["params"]["dst_key_prefix"] + member.name,
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context["params"]["dst_bucket"],
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replace=True)
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untar()
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s3_untar()
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