refactor(event_source): fix type hint

aws_lambda_powertools/middleware_factory/factory.py

@@ -2,7 +2,7 @@
 import inspect
 import logging
 import os
-from typing import Any, Callable, Optional
+from typing import Any, Callable, Optional, TypeVar, cast
 
 from ..shared import constants
 from ..shared.functions import resolve_truthy_env_var_choice
@@ -11,9 +11,14 @@
 
 logger = logging.getLogger(__name__)
 
+FuncType = TypeVar("FuncType", bound=Callable[..., Any])
+
 
 # Maintenance: we can't yet provide an accurate return type without ParamSpec etc. see #1066
-def lambda_handler_decorator(decorator: Optional[Callable] = None, trace_execution: Optional[bool] = None) -> Callable:
+def lambda_handler_decorator(
+    decorator: Optional[Callable[..., Any]] = None,
+    trace_execution: Optional[bool] = None,
+) -> Callable[[Callable[..., Any]], Callable[..., Any]]:
     """Decorator factory for decorating Lambda handlers.
 
     You can use lambda_handler_decorator to create your own middlewares,
@@ -34,7 +39,7 @@ def lambda_handler_decorator(decorator: Optional[Callable] = None, trace_executi
 
     Parameters
     ----------
-    decorator: Callable
+    decorator: Callable[..., Any]
         Middleware to be wrapped by this factory
     trace_execution: bool
         Flag to explicitly enable trace execution for middlewares.\n
@@ -104,18 +109,21 @@ def lambda_handler(event, context):
     """
 
     if decorator is None:
-        return functools.partial(lambda_handler_decorator, trace_execution=trace_execution)
+        return cast(
+            Callable[[Callable[..., Any]], Callable[..., Any]],
+            functools.partial(lambda_handler_decorator, trace_execution=trace_execution),
+        )
 
     trace_execution = resolve_truthy_env_var_choice(
         env=os.getenv(constants.MIDDLEWARE_FACTORY_TRACE_ENV, "false"),
         choice=trace_execution,
     )
 
     @functools.wraps(decorator)
-    def final_decorator(func: Optional[Callable] = None, **kwargs: Any):
+    def final_decorator(*args: Any, func: Optional[FuncType] = None, **kwargs: Any) -> FuncType:
         # If called with kwargs return new func with kwargs
         if func is None:
-            return functools.partial(final_decorator, **kwargs)
+            return cast(FuncType, functools.partial(final_decorator, *args, **kwargs))
 
         if not inspect.isfunction(func):
             # @custom_middleware(True) vs @custom_middleware(log_event=True)
@@ -124,9 +132,11 @@ def final_decorator(func: Optional[Callable] = None, **kwargs: Any):
             )
 
         @functools.wraps(func)
-        def wrapper(event, context, **handler_kwargs):
+        def wrapper(*args: Any, **kwargs: Any) -> Any:
             try:
-                middleware = functools.partial(decorator, func, event, context, **kwargs, **handler_kwargs)
+                if decorator is None:
+                    raise ValueError("Decorator cannot be None")
+                middleware = functools.partial(decorator, func, *args, **kwargs)
                 if trace_execution:
                     tracer = Tracer(auto_patch=False)
                     with tracer.provider.in_subsegment(name=f"## {decorator.__qualname__}"):
@@ -135,9 +145,11 @@ def wrapper(event, context, **handler_kwargs):
                     response = middleware()
                 return response
             except Exception:
-                logger.exception(f"Caught exception in {decorator.__qualname__}")
+                logger.exception(
+                    f"Caught exception in {decorator.__qualname__ if decorator is not None else 'UnknownDecorator'}",
+                )
                 raise
 
-        return wrapper
+        return cast(FuncType, wrapper)
 
     return final_decorator

aws_lambda_powertools/utilities/data_classes/event_source.py

@@ -11,7 +11,7 @@ def event_source(
     event: Dict[str, Any],
     context: LambdaContext,
     data_class: Type[DictWrapper],
-):
+) -> Any:
     """Middleware to create an instance of the passed in event source data class
 
     Parameters