uranusjr commented on a change in pull request #19965:
URL: https://github.com/apache/airflow/pull/19965#discussion_r771471869



##########
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:
       Oh, I meant the `function_arg_names` attribute might not need to exist 
entirely, since it is only accessed by `_validate_function` (which is a 
validator for the `function` attribute) and the validator is most likely only 
run once anyway.




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