Source code for tests.system.providers.google.cloud.gcs.example_mysql_to_gcs

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from __future__ import annotations

import os
from datetime import datetime

import pytest

from airflow import models
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator

try:
    from airflow.providers.google.cloud.transfers.mysql_to_gcs import MySQLToGCSOperator
except ImportError:
    pytest.skip("MySQL not available", allow_module_level=True)

from airflow.utils.trigger_rule import TriggerRule

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]DAG_ID = "example_mysql_to_gcs"
[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
[docs]FILENAME = "test_file"
[docs]SQL_QUERY = "SELECT * from test_table"
with models.DAG( DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "mysql"], ) as dag:
[docs] create_bucket = GCSCreateBucketOperator( task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
) # [START howto_operator_mysql_to_gcs] upload_mysql_to_gcs = MySQLToGCSOperator( task_id="mysql_to_gcs", sql=SQL_QUERY, bucket=BUCKET_NAME, filename=FILENAME, export_format="csv" ) # [END howto_operator_mysql_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_mysql_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)
[docs]test_run = get_test_run(dag)

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