phanikumv commented on code in PR #29801:
URL: https://github.com/apache/airflow/pull/29801#discussion_r1132621981
##########
airflow/providers/microsoft/azure/hooks/data_factory.py:
##########
@@ -1039,3 +1048,124 @@ def test_connection(self) -> tuple[bool, str]:
return success
except Exception as e:
return False, str(e)
+
+
+def provide_targeted_factory_async(func: T) -> T:
+ """
+ Provide the targeted factory to the async decorated function in case it
isn't specified.
+
+ If ``resource_group_name`` or ``factory_name`` is not provided it defaults
to the value specified in
+ the connection extras.
+ """
+ signature = inspect.signature(func)
+
+ @wraps(func)
+ async def wrapper(*args: Any, **kwargs: Any) -> Any:
+ bound_args = signature.bind(*args, **kwargs)
+
+ async def bind_argument(arg: Any, default_key: str) -> None:
+ # Check if arg was not included in the function signature or, if
it is, the value is not provided.
+ if arg not in bound_args.arguments or bound_args.arguments[arg] is
None:
+ self = args[0]
+ conn = await sync_to_async(self.get_connection)(self.conn_id)
+ extras = conn.extra_dejson
+ default_value = extras.get(default_key) or extras.get(
+ f"extra__azure_data_factory__{default_key}"
+ )
+ if not default_value:
+ raise AirflowException("Could not determine the targeted
data factory.")
+
+ bound_args.arguments[arg] = default_value
+
+ await bind_argument("resource_group_name", "resource_group_name")
+ await bind_argument("factory_name", "factory_name")
+
+ return await func(*bound_args.args, **bound_args.kwargs)
+
+ return cast(T, wrapper)
+
+
+class AzureDataFactoryAsyncHook(AzureDataFactoryHook):
+ """
+ An Async Hook that connects to Azure DataFactory to perform pipeline
operations
+
+ :param azure_data_factory_conn_id: The :ref:`Azure Data Factory connection
id<howto/connection:adf>`.
+ """
+
+ def __init__(self, azure_data_factory_conn_id: str):
+ self._async_conn: AsyncDataFactoryManagementClient = None
+ self.conn_id = azure_data_factory_conn_id
+ super().__init__(azure_data_factory_conn_id=azure_data_factory_conn_id)
+
+ async def get_async_conn(self) -> AsyncDataFactoryManagementClient:
+ """Get async connection and connect to azure data factory"""
+ if self._conn is not None:
+ return self._conn
+
+ conn = await sync_to_async(self.get_connection)(self.conn_id)
+ extras = conn.extra_dejson
+ tenant = get_field(extras, "tenantId")
+
+ try:
+ subscription_id = get_field(extras, "subscriptionId", strict=True)
+ except KeyError:
+ raise ValueError("A Subscription ID is required to connect to
Azure Data Factory.")
+
+ credential: AsyncCredentials
+ if conn.login is not None and conn.password is not None:
+ if not tenant:
+ raise ValueError("A Tenant ID is required when authenticating
with Client ID and Secret.")
+
+ credential = AsyncClientSecretCredential(
+ client_id=conn.login, client_secret=conn.password,
tenant_id=tenant
+ )
+ else:
+ credential = AsyncDefaultAzureCredential()
+
+ return AsyncDataFactoryManagementClient(
+ credential=credential,
+ subscription_id=subscription_id,
+ )
+
+ @provide_targeted_factory_async
+ async def get_pipeline_run(
+ self,
+ run_id: str,
+ resource_group_name: str | None = None,
+ factory_name: str | None = None,
+ **config: Any,
+ ) -> PipelineRun:
+ """
+ Connect to Azure Data Factory asynchronously to get the pipeline run
details by run id
+
+ :param run_id: The pipeline run identifier.
+ :param resource_group_name: The resource group name.
+ :param factory_name: The factory name.
Review Comment:
done
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