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Airflow System Test DAG that verifies Datastore query operators.
from __future__ import annotations

import os
from datetime import datetime
from typing import Any

from airflow.models.dag import DAG
from import (

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]DAG_ID = "datastore_query"
[docs]KEYS = [ { "partitionId": {"projectId": PROJECT_ID, "namespaceId": ""}, "path": {"kind": "airflow"}, } ]
[docs]TRANSACTION_OPTIONS: dict[str, Any] = {"readWrite": {}}
with DAG( DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["datastore", "example"], ) as dag:
[docs] allocate_ids = CloudDatastoreAllocateIdsOperator( task_id="allocate_ids", partial_keys=KEYS, project_id=PROJECT_ID )
begin_transaction_query = CloudDatastoreBeginTransactionOperator( task_id="begin_transaction_query", transaction_options=TRANSACTION_OPTIONS, project_id=PROJECT_ID, ) # [START how_to_query_def] QUERY = { "partitionId": {"projectId": PROJECT_ID, "namespaceId": "query"}, "readOptions": {"transaction": begin_transaction_query.output}, "query": {}, } # [END how_to_query_def] # [START how_to_run_query] run_query = CloudDatastoreRunQueryOperator(task_id="run_query", body=QUERY, project_id=PROJECT_ID) # [END how_to_run_query] allocate_ids >> begin_transaction_query >> run_query 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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