Using ParamSpec to show underlying typehinting (flyteorg#2617)

Signed-off-by: JackUrb <[email protected]>

flytekit/core/task.py

@@ -4,6 +4,11 @@
 from functools import update_wrapper
 from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Type, TypeVar, Union, overload
 
+try:
+    from typing import ParamSpec
+except ImportError:
+    from typing_extensions import ParamSpec  # type: ignore
+
 from flytekit.core import launch_plan as _annotated_launchplan
 from flytekit.core import workflow as _annotated_workflow
 from flytekit.core.base_task import TaskMetadata, TaskResolverMixin
@@ -80,6 +85,7 @@ def find_pythontask_plugin(cls, plugin_config_type: type) -> Type[PythonFunction
         return PythonFunctionTask
 
 
+P = ParamSpec("P")
 T = TypeVar("T")
 FuncOut = TypeVar("FuncOut")
 
@@ -124,7 +130,7 @@ def task(
 
 @overload
 def task(
-    _task_function: Callable[..., FuncOut],
+    _task_function: Callable[P, FuncOut],
     task_config: Optional[T] = ...,
     cache: bool = ...,
     cache_serialize: bool = ...,
@@ -157,11 +163,11 @@ def task(
     pod_template: Optional["PodTemplate"] = ...,
     pod_template_name: Optional[str] = ...,
     accelerator: Optional[BaseAccelerator] = ...,
-) -> Union[PythonFunctionTask[T], Callable[..., FuncOut]]: ...
+) -> Union[Callable[P, FuncOut], PythonFunctionTask[T]]: ...
 
 
 def task(
-    _task_function: Optional[Callable[..., FuncOut]] = None,
+    _task_function: Optional[Callable[P, FuncOut]] = None,
     task_config: Optional[T] = None,
     cache: bool = False,
     cache_serialize: bool = False,
@@ -201,9 +207,9 @@ def task(
     pod_template_name: Optional[str] = None,
     accelerator: Optional[BaseAccelerator] = None,
 ) -> Union[
-    Callable[[Callable[..., FuncOut]], PythonFunctionTask[T]],
+    Callable[P, FuncOut],
+    Callable[[Callable[P, FuncOut]], PythonFunctionTask[T]],
     PythonFunctionTask[T],
-    Callable[..., FuncOut],
 ]:
     """
     This is the core decorator to use for any task type in flytekit.
@@ -324,7 +330,7 @@ def launch_dynamically():
     :param accelerator: The accelerator to use for this task.
     """
 
-    def wrapper(fn: Callable[..., Any]) -> PythonFunctionTask[T]:
+    def wrapper(fn: Callable[P, Any]) -> PythonFunctionTask[T]:
         _metadata = TaskMetadata(
             cache=cache,
             cache_serialize=cache_serialize,

flytekit/core/workflow.py

@@ -8,6 +8,11 @@
 from functools import update_wrapper
 from typing import Any, Callable, Coroutine, Dict, List, Optional, Tuple, Type, Union, cast, overload
 
+try:
+    from typing import ParamSpec
+except ImportError:
+    from typing_extensions import ParamSpec  # type: ignore
+
 from flytekit.core import constants as _common_constants
 from flytekit.core import launch_plan as _annotated_launch_plan
 from flytekit.core.base_task import PythonTask, Task
@@ -58,6 +63,7 @@
     flyte_entity=None,
 )
 
+P = ParamSpec("P")
 T = typing.TypeVar("T")
 FuncOut = typing.TypeVar("FuncOut")
 
@@ -809,21 +815,21 @@ def workflow(
 
 @overload
 def workflow(
-    _workflow_function: Callable[..., FuncOut],
+    _workflow_function: Callable[P, FuncOut],
     failure_policy: Optional[WorkflowFailurePolicy] = ...,
     interruptible: bool = ...,
     on_failure: Optional[Union[WorkflowBase, Task]] = ...,
     docs: Optional[Documentation] = ...,
-) -> Union[PythonFunctionWorkflow, Callable[..., FuncOut]]: ...
+) -> Union[Callable[P, FuncOut], PythonFunctionWorkflow]: ...
 
 
 def workflow(
-    _workflow_function: Optional[Callable[..., Any]] = None,
+    _workflow_function: Optional[Callable[P, FuncOut]] = None,
     failure_policy: Optional[WorkflowFailurePolicy] = None,
     interruptible: bool = False,
     on_failure: Optional[Union[WorkflowBase, Task]] = None,
     docs: Optional[Documentation] = None,
-) -> Union[Callable[[Callable[..., FuncOut]], PythonFunctionWorkflow], PythonFunctionWorkflow, Callable[..., FuncOut]]:
+) -> Union[Callable[P, FuncOut], Callable[[Callable[P, FuncOut]], PythonFunctionWorkflow], PythonFunctionWorkflow]:
     """
     This decorator declares a function to be a Flyte workflow. Workflows are declarative entities that construct a DAG
     of tasks using the data flow between tasks.
@@ -856,7 +862,7 @@ def workflow(
     :param docs: Description entity for the workflow
     """
 
-    def wrapper(fn: Callable[..., Any]) -> PythonFunctionWorkflow:
+    def wrapper(fn: Callable[P, FuncOut]) -> PythonFunctionWorkflow:
         workflow_metadata = WorkflowMetadata(on_failure=failure_policy or WorkflowFailurePolicy.FAIL_IMMEDIATELY)
 
         workflow_metadata_defaults = WorkflowMetadataDefaults(interruptible)