feat(event_handler): support any Pydantic Field annotation in parameter

aws_lambda_powertools/event_handler/openapi/params.py

@@ -953,54 +953,52 @@
     return get_field_info_and_type_annotation(inner_type, value, False, True)
 
 
-def _has_discriminator(field_info: FieldInfo) -> bool:
-    """Check if a FieldInfo has a discriminator."""
-    return hasattr(field_info, "discriminator") and field_info.discriminator is not None
-
-
-def _handle_discriminator_with_param(
+def _split_location_marker_and_field(
     annotations: list[FieldInfo],
-    annotation: Any,
-) -> tuple[FieldInfo | None, Any, bool]:
+) -> tuple[FieldInfo, FieldInfo]:
     """
-    Handle the special case of Field(discriminator) + Body() combination.
+    Split a pair of FieldInfo into the Powertools location marker and the plain Pydantic Field.
+
+    A parameter like ``Annotated[str, Field(gt=0), Query()]`` flattens to two FieldInfo: the
+    location marker (``Path``/``Query``/``Header``/``Body``, a ``Param`` or ``Body`` subclass) and
+    a plain Pydantic ``Field`` carrying constraints. We keep them apart so the location marker
+    drives where the value comes from, while the ``Field``'s constraints/metadata still apply.
 
     Returns:
-        tuple of (powertools_annotation, type_annotation, has_discriminator_with_body)
+        tuple of (location_marker, plain_field)
     """
-    field_obj = None
-    body_obj = None
+    location_marker: FieldInfo | None = None
+    plain_field: FieldInfo | None = None
 
     for ann in annotations:
-        if isinstance(ann, Body):
-            body_obj = ann
-        elif _has_discriminator(ann):
-            field_obj = ann
+        if isinstance(ann, (Param, Body)):
+            location_marker = ann
+        else:
+            plain_field = ann
 
-    if field_obj and body_obj:
-        # Use Body as the primary annotation, preserve full annotation for validation
-        return body_obj, annotation, True
+    if location_marker is None or plain_field is None:
+        raise AssertionError("Only one FieldInfo can be used per parameter")
 
-    raise AssertionError("Only one FieldInfo can be used per parameter")
+    return location_marker, plain_field
 
 
 def _create_field_info(
     powertools_annotation: FieldInfo,
     type_annotation: Any,
-    has_discriminator_with_body: bool,
+    preserve_full_annotation: bool,
 ) -> FieldInfo:
     """Create or copy FieldInfo based on the annotation type."""
-    field_info: FieldInfo
-    if has_discriminator_with_body:
-        # For discriminator + Body case, create a new Body instance directly
-        field_info = Body()
+    # Copy field_info because we mutate field_info.default later.
+    field_info = copy_field_info(
+        field_info=powertools_annotation,
+        annotation=type_annotation,
+    )
+    if preserve_full_annotation:
+        # The location marker is paired with a plain Field (constraints or discriminator).
+        # copy_field_info strips the Pydantic Field out of the metadata, so re-attach the full
+        # Annotated type here, that's what makes the Field's metadata flow into the TypeAdapter
+        # that ModelField builds for validation.
         field_info.annotation = type_annotation
-    else:
-        # Copy field_info because we mutate field_info.default later
-        field_info = copy_field_info(
-            field_info=powertools_annotation,
-            annotation=type_annotation,
-        )
     return field_info
 
 
@@ -1017,7 +1015,7 @@
         field_info.default = Required
 
 
 def get_field_info_annotated_type(annotation, value, is_path_param: bool) -> tuple[FieldInfo | None, Any]:
     """
     Get the FieldInfo and type annotation from an Annotated type.
     """
@@ -1043,32 +1041,36 @@
 
     # Determine which annotation to use
     powertools_annotation: FieldInfo | None = None
-    has_discriminator_with_param = False
+    # When a plain Pydantic Field is paired with a location marker (e.g. Field(gt=0) + Query),
+    # we keep the full Annotated type as the annotation so the Field's metadata still validates.
+    preserve_full_annotation = False
 
     if len(powertools_annotations) == 2:
-        powertools_annotation, type_annotation, has_discriminator_with_param = _handle_discriminator_with_param(
-            powertools_annotations,
-            annotation,
-        )
+        # A location marker (Path/Query/Header/Body) plus a plain Pydantic Field carrying
+        # constraints, a discriminator, or any other Field setting. The marker says where the
+        # value comes from; the Field says how to validate it.
+        powertools_annotation, _ = _split_location_marker_and_field(powertools_annotations)
+        preserve_full_annotation = True
     elif len(powertools_annotations) > 1:
         raise AssertionError("Only one FieldInfo can be used per parameter")
     else:
         powertools_annotation = next(iter(powertools_annotations), None)
 
     # Reconstruct type_annotation with non-FieldInfo metadata if present
     # This ensures constraints like Interval are preserved
-    if other_metadata and not has_discriminator_with_param:
+    if other_metadata and not preserve_full_annotation:
         type_annotation = Annotated[(type_annotation, *other_metadata)]
 
     # Process the annotation if it exists
     field_info: FieldInfo | None = None
-    if isinstance(powertools_annotation, FieldInfo):  # pragma: no cover
-        field_info = _create_field_info(powertools_annotation, type_annotation, has_discriminator_with_param)
+    if isinstance(powertools_annotation, FieldInfo):
+        # When pairing a location marker with a plain Field, hand the full Annotated[...] to the
+        # field so the Field's constraints/discriminator flow into the validating TypeAdapter.
+        field_annotation = annotation if preserve_full_annotation else type_annotation
+        field_info = _create_field_info(powertools_annotation, field_annotation, preserve_full_annotation)
         _set_field_default(field_info, value, is_path_param)
-
-        # Preserve full annotated type for discriminated unions
-        if _has_discriminator(powertools_annotation):  # pragma: no cover
-            type_annotation = annotation  # pragma: no cover
+        if preserve_full_annotation:
+            type_annotation = annotation
 
     return field_info, type_annotation
 

tests/functional/event_handler/_pydantic/test_openapi_validation_middleware.py

@@ -30,7 +30,7 @@
     VPCLatticeV2Resolver,
 )
 from aws_lambda_powertools.event_handler.openapi.exceptions import ResponseValidationError
-from aws_lambda_powertools.event_handler.openapi.params import Body, Form, Header, Query
+from aws_lambda_powertools.event_handler.openapi.params import Body, Form, Header, Path, Query
 from tests.functional.utils import load_event
 
 
@@ -2654,6 +2654,77 @@ def create_action(action: Annotated[action_type, Body()]):
     assert result["statusCode"] == 422
 
 
+def test_field_annotation_with_all_param_types(gw_event):
+    """A reusable Annotated type carrying a Pydantic Field works with every parameter location."""
+    app = APIGatewayRestResolver(enable_validation=True)
+
+    # Reusable annotated type, the same kind you'd use inside a model
+    str_field = Annotated[str, Field()]
+
+    @app.get("/header")
+    def get_header(h: Annotated[str_field, Header()]):
+        return {"value": h}
+
+    @app.get("/path/<p>")
+    def get_path(p: Annotated[str_field, Path()]):
+        return {"value": p}
+
+    @app.get("/query")
+    def get_query(q: Annotated[str_field, Query()]):
+        return {"value": q}
+
+    @app.post("/body")
+    def post_body(b: Annotated[str_field, Body()]):
+        return {"value": b}
+
+    del gw_event["multiValueHeaders"]
+    del gw_event["multiValueQueryStringParameters"]
+
+    # Header
+    gw_event["path"] = "/header"
+    gw_event["httpMethod"] = "GET"
+    gw_event["headers"] = {"h": "test"}
+    assert app(gw_event, {})["statusCode"] == 200
+
+    # Path
+    gw_event["path"] = "/path/test"
+    gw_event["pathParameters"] = {"p": "test"}
+    assert app(gw_event, {})["statusCode"] == 200
+
+    # Query
+    gw_event["path"] = "/query"
+    gw_event["pathParameters"] = None
+    gw_event["queryStringParameters"] = {"q": "test"}
+    assert app(gw_event, {})["statusCode"] == 200
+
+    # Body
+    gw_event["path"] = "/body"
+    gw_event["httpMethod"] = "POST"
+    gw_event["headers"]["content-type"] = "application/json"
+    gw_event["body"] = '"test"'
+    assert app(gw_event, {})["statusCode"] == 200
+
+
+def test_field_constraints_apply_with_param_type(gw_event):
+    """Constraints declared on a Field are enforced when paired with a location marker."""
+    app = APIGatewayRestResolver(enable_validation=True)
+
+    @app.get("/items")
+    def get_items(quantity: Annotated[int, Field(gt=0), Query()]):
+        return {"quantity": quantity}
+
+    gw_event["path"] = "/items"
+    gw_event["httpMethod"] = "GET"
+
+    # Passes the gt=0 constraint
+    gw_event["queryStringParameters"] = {"quantity": "5"}
+    assert app(gw_event, {})["statusCode"] == 200
+
+    # Violates gt=0
+    gw_event["queryStringParameters"] = {"quantity": "-1"}
+    assert app(gw_event, {})["statusCode"] == 422
+
+
 def test_validate_pydantic_query_params_with_config_dict_and_validators(gw_event):
     """Test that Pydantic models with ConfigDict, aliases, and validators work correctly"""