ashb commented on a change in pull request #19965:
URL: https://github.com/apache/airflow/pull/19965#discussion_r771460323
##########
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:
I think a function is clearer than this:
```
function_arg_names: Set[str] = attr.ib(
repr=False,
default=attr.Factory(lambda i:
set(inspect.signature(i.function).parameters), takes_self=True),
)
```
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