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from __future__ import annotations

from datetime import datetime

from airflow import models
from airflow.providers.microsoft.azure.operators.msgraph import MSGraphAsyncOperator
from airflow.sdk.definitions.asset import Asset

DAG_ID = "example_msfabric"

with models.DAG(
    DAG_ID,
    start_date=datetime(2021, 1, 1),
    schedule=None,
    tags=["example"],
) as dag:
    # [START howto_operator_ms_fabric_create_item_schedule]
    # https://learn.microsoft.com/en-us/rest/api/fabric/core/job-scheduler/create-item-schedule?tabs=HTTP
    workspaces_task = MSGraphAsyncOperator(
        task_id="schedule_datapipeline",
        conn_id="powerbi",
        method="POST",
        url="workspaces/{workspaceId}/items/{itemId}/jobs/instances",
        path_parameters={
            "workspaceId": "e90b2873-4812-4dfb-9246-593638165644",
            "itemId": "65448530-e5ec-4aeb-a97e-7cebf5d67c18",
        },
        query_parameters={"jobType": "Pipeline"},
        dag=dag,
        outlets=[
            Asset(
                "workspaces/e90b2873-4812-4dfb-9246-593638165644/items/65448530-e5ec-4aeb-a97e-7cebf5d67c18/jobs/instances?jobType=Pipeline"
            )
        ],
    )
    # [END howto_operator_ms_fabric_create_item_schedule]

    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: tests/system/README.md#run_via_pytest)
test_run = get_test_run(dag)
