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from __future__ import annotations

import json
import os
from datetime import datetime

from airflow.decorators import task
from airflow.models import Connection
from airflow.models.dag import DAG
from airflow.models.xcom_arg import XComArg
from airflow.operators.bash import BashOperator
from import GCSCreateBucketOperator, GCSDeleteBucketOperator
from import GoogleSheetsToGCSOperator
from import GoogleSheetsCreateSpreadsheetOperator
from import GCSToGoogleSheetsOperator
from airflow.settings import Session
from airflow.utils.trigger_rule import TriggerRule

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default")
[docs]DAG_ID = "example_sheets_gcs"
[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
[docs]SPREADSHEET = { "properties": {"title": "Test1"}, "sheets": [{"properties": {"title": "Sheet1"}}], }
[docs]CONNECTION_ID = f"connection_{DAG_ID}_{ENV_ID}"
with DAG( DAG_ID, schedule="@once", # Override to match your needs, start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "sheets"], ) as dag:
[docs] create_bucket = GCSCreateBucketOperator( task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID )
@task def create_temp_sheets_connection(): conn = Connection( conn_id=CONNECTION_ID, conn_type="google_cloud_platform", ) conn_extra = { "scope": ",", "project": PROJECT_ID, "keyfile_dict": "", # Override to match your needs } conn_extra_json = json.dumps(conn_extra) conn.set_extra(conn_extra_json) session = Session() session.add(conn) session.commit() create_temp_sheets_connection_task = create_temp_sheets_connection() # [START upload_sheet_to_gcs] upload_sheet_to_gcs = GoogleSheetsToGCSOperator( task_id="upload_sheet_to_gcs", destination_bucket=BUCKET_NAME, spreadsheet_id="{{ task_instance.xcom_pull(task_ids='create_spreadsheet', " "key='spreadsheet_id') }}", gcp_conn_id=CONNECTION_ID, ) # [END upload_sheet_to_gcs] # [START create_spreadsheet] create_spreadsheet = GoogleSheetsCreateSpreadsheetOperator( task_id="create_spreadsheet", spreadsheet=SPREADSHEET, gcp_conn_id=CONNECTION_ID ) # [END create_spreadsheet] # [START print_spreadsheet_url] print_spreadsheet_url = BashOperator( task_id="print_spreadsheet_url", bash_command=f"echo {XComArg(create_spreadsheet, key='spreadsheet_url')}", ) # [END print_spreadsheet_url] # [START upload_gcs_to_sheet] upload_gcs_to_sheet = GCSToGoogleSheetsOperator( task_id="upload_gcs_to_sheet", bucket_name=BUCKET_NAME, object_name="{{ task_instance.xcom_pull('upload_sheet_to_gcs')[0] }}", spreadsheet_id="{{ task_instance.xcom_pull(task_ids='create_spreadsheet', " "key='spreadsheet_id') }}", gcp_conn_id=CONNECTION_ID, ) # [END upload_gcs_to_sheet] delete_temp_sheets_connection_task = BashOperator( task_id="delete_temp_sheets_connection", bash_command=f"airflow connections delete {CONNECTION_ID}", trigger_rule=TriggerRule.ALL_DONE, ) delete_bucket = GCSDeleteBucketOperator( task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE ) ( # TEST SETUP [create_bucket, create_temp_sheets_connection_task] # TEST BODY >> create_spreadsheet >> print_spreadsheet_url >> upload_sheet_to_gcs >> upload_gcs_to_sheet # TEST TEARDOWN >> [delete_bucket, delete_temp_sheets_connection_task] ) 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/
[docs]test_run = get_test_run(dag)

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