64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
import os
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import tarfile
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from datetime import datetime, timedelta
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from io import BytesIO
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from airflow.decorators import task
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from airflow.models.baseoperator import chain
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from airflow.models.dag import DAG
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from airflow.providers.amazon.aws.hooks.s3 import S3Hook
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S3_BUCKET_NAME = os.getenv("S3_BUCKET_NAME", "zenodo-bucket")
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S3_BUCKET_KEY = os.getenv("S3_BUCKET_KEY", "test")
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S3_BUCKET_KEY_LIST = os.getenv("S3_BUCKET_KEY_LIST", "test2")
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S3_BUCKET_WILDCARD_KEY = os.getenv("S3_BUCKET_WILDCARD_KEY", "test*")
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PREFIX = os.getenv("S3_PREFIX", "test")
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INACTIVITY_PERIOD = float(os.getenv("INACTIVITY_PERIOD", 5))
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AWS_DEFAULT_REGION = os.getenv("AWS_DEFAULT_REGION", "us-east-1")
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LOCAL_FILE_PATH = os.getenv("LOCAL_FILE_PATH", "/usr/local/airflow/dags/example_s3_test_file.txt")
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AWS_CONN_ID = os.getenv("ASTRO_AWS_S3_CONN_ID", "s3_conn")
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EXECUTION_TIMEOUT = int(os.getenv("EXECUTION_TIMEOUT", 6))
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DATA = os.environ.get(
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"DATA",
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"""
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apple,0.5
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milk,2.5
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bread,4.0
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""",
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)
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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", 2)),
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"retry_delay": timedelta(seconds=int(os.getenv("DEFAULT_RETRY_DELAY_SECONDS", 60))),
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}
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@task
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def untar_to_s3(key: str, bucket: str):
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hook = S3Hook(AWS_CONN_ID, transfer_config_args={'use_threads': False})
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tarball_obj = hook.get_key(key, bucket_name=bucket)
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with tarfile.open(name=None, mode="r|", fileobj=tarball_obj.get()['Body']) as tarball:
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for member in tarball:
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if not member.isfile():
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continue
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fd = tarball.extractfile(member)
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hook.load_file_obj(BytesIO(fd.read()), member.path, S3_BUCKET_NAME)
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with DAG(
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dag_id="untar_zenodo_organization",
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schedule=None,
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start_date=datetime(2021, 1, 1),
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catchup=False,
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default_args=default_args,
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tags=["example", "async", "s3"],
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) as dag:
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untar_task = untar_to_s3("organization.tar", S3_BUCKET_NAME)
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chain(untar_task)
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