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Migrate Google sheets example DAG to new design AIP-47 (#24351)
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related: #22430, #22447
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chenglongyan authored Jun 12, 2022
1 parent 19dd9f5 commit cb90ca7
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Expand Up @@ -38,7 +38,7 @@ Upload data from Google Sheets to GCS
To upload data from Google Spreadsheet to Google Cloud Storage you can use the
:class:`~airflow.providers.google.cloud.transfers.sheets_to_gcs.GoogleSheetsToGCSOperator`.

.. exampleinclude:: /../../airflow/providers/google/cloud/example_dags/example_sheets_to_gcs.py
.. exampleinclude:: /../../tests/system/providers/google/sheets/example_sheets_to_gcs.py
:language: python
:dedent: 4
:start-after: [START upload_sheet_to_gcs]
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Expand Up @@ -20,22 +20,56 @@
from datetime import datetime

from airflow import models
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.transfers.sheets_to_gcs import GoogleSheetsToGCSOperator
from airflow.utils.trigger_rule import TriggerRule

BUCKET = os.environ.get("GCP_GCS_BUCKET", "test28397yeo")
ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
DAG_ID = "example_sheets_to_gcs"

BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
SPREADSHEET_ID = os.environ.get("SPREADSHEET_ID", "1234567890qwerty")

with models.DAG(
"example_sheets_to_gcs",
DAG_ID,
schedule_interval='@once', # Override to match your needs
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example"],
tags=["example", "sheets"],
) as dag:
create_bucket = GCSCreateBucketOperator(
task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
)

# [START upload_sheet_to_gcs]
upload_sheet_to_gcs = GoogleSheetsToGCSOperator(
task_id="upload_sheet_to_gcs",
destination_bucket=BUCKET,
destination_bucket=BUCKET_NAME,
spreadsheet_id=SPREADSHEET_ID,
)
# [END upload_sheet_to_gcs]

delete_bucket = GCSDeleteBucketOperator(
task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
)

(
# TEST SETUP
create_bucket
# TEST BODY
>> upload_sheet_to_gcs
# TEST TEARDOWN
>> delete_bucket
)

from tests.system.utils.watcher import watcher

# This test needs watcher in order to properly mark success/failure
# when "tearDown" task with trigger rule is part of the DAG
list(dag.tasks) >> watcher()

from tests.system.utils import get_test_run # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
test_run = get_test_run(dag)

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