Source code for tests.system.providers.google.cloud.data_loss_prevention.example_dlp_job_trigger
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""
Example Airflow DAG that creates, update, get and delete trigger for Data Loss Prevention actions.
"""
from __future__ import annotations
import os
from datetime import datetime
from airflow import models
from airflow.providers.google.cloud.operators.dlp import (
CloudDLPCreateJobTriggerOperator,
CloudDLPDeleteJobTriggerOperator,
CloudDLPGetDLPJobTriggerOperator,
CloudDLPListJobTriggersOperator,
CloudDLPUpdateJobTriggerOperator,
)
from airflow.utils.trigger_rule import TriggerRule
[docs]DAG_ID = "dlp_job_trigger"
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]JOB_TRIGGER = {
"inspect_job": {
"storage_config": {
"datastore_options": {"partition_id": {"project_id": PROJECT_ID}, "kind": {"name": "test"}}
}
},
"triggers": [{"schedule": {"recurrence_period_duration": {"seconds": 60 * 60 * 24}}}],
"status": "HEALTHY",
}
[docs]TRIGGER_ID = f"trigger_{ENV_ID}"
with models.DAG(
DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["dlp", "example"],
) as dag:
# [START howto_operator_dlp_create_job_trigger]
[docs] create_trigger = CloudDLPCreateJobTriggerOperator(
project_id=PROJECT_ID,
job_trigger=JOB_TRIGGER,
trigger_id=TRIGGER_ID,
task_id="create_trigger",
)
# [END howto_operator_dlp_create_job_trigger]
list_triggers = CloudDLPListJobTriggersOperator(task_id="list_triggers", project_id=PROJECT_ID)
get_trigger = CloudDLPGetDLPJobTriggerOperator(
task_id="get_trigger", project_id=PROJECT_ID, job_trigger_id=TRIGGER_ID
)
JOB_TRIGGER["triggers"] = [{"schedule": {"recurrence_period_duration": {"seconds": 2 * 60 * 60 * 24}}}]
# [START howto_operator_dlp_update_job_trigger]
update_trigger = CloudDLPUpdateJobTriggerOperator(
project_id=PROJECT_ID,
job_trigger_id=TRIGGER_ID,
job_trigger=JOB_TRIGGER,
task_id="update_info_type",
)
# [END howto_operator_dlp_update_job_trigger]
# [START howto_operator_dlp_delete_job_trigger]
delete_trigger = CloudDLPDeleteJobTriggerOperator(
project_id=PROJECT_ID, job_trigger_id=TRIGGER_ID, task_id="delete_info_type"
)
# [END howto_operator_dlp_delete_job_trigger]
delete_trigger.trigger_rule = TriggerRule.ALL_DONE
(create_trigger >> list_triggers >> get_trigger >> update_trigger >> delete_trigger)
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)