Simplify code

fastapi/_compat/v2.py

@@ -7,7 +7,6 @@ from typing import (
     Any,
     Dict,
     List,
-    Mapping,
     Sequence,
     Set,
     Tuple,
@@ -172,6 +171,13 @@ def _get_model_config(model: BaseModel) -> Any:
     return model.model_config
 
 
+def _has_computed_fields(field: ModelField) -> bool:
+    computed_fields = field._type_adapter.core_schema.get("schema", {}).get(
+        "computed_fields", []
+    )
+    return len(computed_fields) > 0
+
+
 def get_schema_from_model_field(
     *,
     field: ModelField,
@@ -181,12 +187,9 @@ def get_schema_from_model_field(
     ],
     separate_input_output_schemas: bool = True,
 ) -> Dict[str, Any]:
-    computed_fields = field._type_adapter.core_schema.get("schema", {}).get(
-        "computed_fields", []
-    )
     override_mode: Union[Literal["validation"], None] = (
         None
-        if (separate_input_output_schemas or len(computed_fields) > 0)
+        if (separate_input_output_schemas or _has_computed_fields(field))
         else "validation"
     )
     # This expects that GenerateJsonSchema was already used to generate the definitions
@@ -239,26 +242,18 @@ def get_definitions(
     unique_flat_model_fields = {
         f for f in flat_model_fields if f.type_ not in input_types
     }
-    inputs: List[
-        Tuple[
-            ModelField,
-            Literal["validation", "serialization"],
-            Mapping[str, Any],
-        ]
-    ] = []
-    for field in list(fields) + list(unique_flat_model_fields):
-        has_computed_fields: bool = field._type_adapter.core_schema.get(
-            "schema", {}
-        ).get("computed_fields", [])
-        override_mode: Union[Literal["validation"], None] = (
-            None
-            if (separate_input_output_schemas or has_computed_fields)
-            else "validation"
-        )
-        inputs.append(
-            (field, override_mode or field.mode, field._type_adapter.core_schema)
+    inputs = [
+        (
+            field,
+            (
+                field.mode
+                if (separate_input_output_schemas or _has_computed_fields(field))
+                else "validation"
+            ),
+            field._type_adapter.core_schema,
         )
-
+        for field in list(fields) + list(unique_flat_model_fields)
+    ]
     field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)
     for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():
         if "description" in item_def: