ashb commented on a change in pull request #19965:
URL: https://github.com/apache/airflow/pull/19965#discussion_r771453391
##########
File path: airflow/decorators/base.py
##########
@@ -176,11 +178,110 @@ def _hook_apply_defaults(self, *args, **kwargs):
T = TypeVar("T", bound=Callable)
+OperatorSubclass = TypeVar("OperatorSubclass", bound="BaseOperator")
+
+
[email protected]
+class OperatorWrapper(Generic[T, OperatorSubclass]):
+ """
+ Helper class for providing dynamic task mapping to decorated functions.
+
+ ``task_decorator_factory`` returns an instance of this, instead of just a
plain wrapped function.
+
+ :meta private:
+ """
+
+ function: T = attr.ib(validator=attr.validators.is_callable())
+ operator_class: Type[OperatorSubclass]
+ multiple_outputs: bool = attr.ib()
+ kwargs: Dict[str, Any] = attr.ib(factory=dict)
+
+ decorator_name: str = attr.ib(repr=False, default="task")
+ function_arg_names: Set[str] = attr.ib(repr=False)
+
+ @function_arg_names.default
+ def _get_arg_names(self):
+ return set(inspect.signature(self.function).parameters)
Review comment:
`@function_arg_names.default` decorator means that this is the default
value for attrs.
No this doesn't need to exist as a function, it could possible be a lamda in
`function_arg_names = attr.ib()` call.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
