Source code for airflow.providers.microsoft.azure.example_dags.example_azure_blob_to_gcs
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import os
from airflow import DAG
from airflow.providers.microsoft.azure.sensors.wasb import WasbBlobSensor
from airflow.providers.microsoft.azure.transfers.azure_blob_to_gcs import AzureBlobStorageToGCSOperator
from airflow.utils.dates import days_ago
BLOB_NAME = os.environ.get("AZURE_BLOB_NAME", "file.txt")
AZURE_CONTAINER_NAME = os.environ.get("AZURE_CONTAINER_NAME", "airflow")
GCP_BUCKET_FILE_PATH = os.environ.get("GCP_BUCKET_FILE_PATH", "file.txt")
GCP_BUCKET_NAME = os.environ.get("GCP_BUCKET_NAME", "azure_bucket")
GCP_OBJECT_NAME = os.environ.get("GCP_OBJECT_NAME", "file.txt")
with DAG(
"example_azure_blob_to_gcs",
schedule_interval=None,
start_date=days_ago(1), # Override to match your needs
) as dag:
# [START how_to_wait_for_blob]
wait_for_blob = WasbBlobSensor(
task_id="wait_for_blob",
wasb_conn_id="wasb_default",
container_name=AZURE_CONTAINER_NAME,
blob_name=BLOB_NAME,
)
# [END how_to_wait_for_blob]
# [START how_to_azure_blob_to_gcs]
transfer_files_to_gcs = AzureBlobStorageToGCSOperator(
task_id="transfer_files_to_gcs",
# AZURE args
wasb_conn_id="wasb_default",
container_name=AZURE_CONTAINER_NAME,
blob_name=BLOB_NAME,
file_path=GCP_OBJECT_NAME,
# GCP args
gcp_conn_id="google_cloud_default",
bucket_name=GCP_BUCKET_NAME,
object_name=GCP_OBJECT_NAME,
filename=GCP_BUCKET_FILE_PATH,
gzip=False,
delegate_to=None,
impersonation_chain=None,
)
# [END how_to_azure_blob_to_gcs]
wait_for_blob >> transfer_files_to_gcs