Source code for system.google.cloud.datastore.example_datastore_query

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"""
Airflow System Test DAG that verifies Datastore query operators.
"""

from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.datastore import (
    CloudDatastoreAllocateIdsOperator,
    CloudDatastoreRunQueryOperator,
)

from system.google import DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID

ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT") or DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID

DAG_ID = "datastore_query"

KEYS = [
    {
        "partitionId": {"projectId": PROJECT_ID, "namespaceId": ""},
        "path": {"kind": "airflow"},
    }
]

with DAG(
    DAG_ID,
    schedule="@once",
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["datastore", "example"],
) as dag:
    allocate_ids = CloudDatastoreAllocateIdsOperator(
        task_id="allocate_ids", partial_keys=KEYS, project_id=PROJECT_ID
    )

    # [START how_to_query_def]
    QUERY = {
        "partitionId": {"projectId": PROJECT_ID, "namespaceId": "query"},
        "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 >> run_query

    from tests_common.test_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_common.test_utils.system_tests import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)