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Example Airflow DAG for Google Vertex AI service testing Custom Jobs operations.

from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from import ListCustomTrainingJobOperator

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default")
[docs]DAG_ID = "vertex_ai_custom_job_operations"
[docs]REGION = "us-central1"
with DAG( f"{DAG_ID}_list_custom_job", schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "vertex_ai", "custom_job"], ) as dag: # [START how_to_cloud_vertex_ai_list_custom_training_job_operator]
[docs] list_custom_training_job = ListCustomTrainingJobOperator( task_id="list_custom_training_job", region=REGION, project_id=PROJECT_ID, )
# [END how_to_cloud_vertex_ai_list_custom_training_job_operator] 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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