add misin literal in 3.6-3.7

ormar/fields/model_fields.py

@@ -1,7 +1,7 @@
 import datetime
 import decimal
 import uuid
-from typing import Any, List, Literal, Optional, TYPE_CHECKING, Union, overload
+from typing import Any, Optional, TYPE_CHECKING, Union, overload
 
 import pydantic
 import sqlalchemy
@@ -11,6 +11,11 @@ from ormar.fields import sqlalchemy_uuid
 from ormar.fields.base import BaseField  # noqa I101
 from ormar.fields.sqlalchemy_encrypted import EncryptBackends
 
+try:
+    from typing import Literal
+except ImportError:  # pragma: no cover
+    from typing_extensions import Literal  # type: ignore
+
 
 def is_field_nullable(
     nullable: Optional[bool],
@@ -426,23 +431,23 @@ class JSON(ModelFieldFactory, pydantic.Json):
         return sqlalchemy.JSON()
 
 
-if TYPE_CHECKING:  # pragma: nocover
+if TYPE_CHECKING:  # pragma: nocover # noqa: C901
 
     @overload
     def LargeBinary(
-        max_length: int, *, represent_as_base64_str: Literal[True], **kwargs
+        max_length: int, *, represent_as_base64_str: Literal[True], **kwargs: Any
     ) -> str:
         ...
 
     @overload
     def LargeBinary(
-        max_length: int, *, represent_as_base64_str: Literal[False], **kwargs
+        max_length: int, *, represent_as_base64_str: Literal[False], **kwargs: Any
     ) -> bytes:
         ...
 
     @overload
     def LargeBinary(
-        max_length: int, represent_as_base64_str: Literal[False] = ..., **kwargs
+        max_length: int, represent_as_base64_str: Literal[False] = ..., **kwargs: Any
     ) -> bytes:
         ...
 
@@ -456,7 +461,8 @@ else:
 
     class LargeBinary(ModelFieldFactory, bytes):
         """
-        LargeBinary field factory that construct Field classes and populated their values.
+        LargeBinary field factory that construct Field classes
+        and populated their values.
         """
 
         _type = bytes

ormar/models/helpers/validation.py

@@ -142,10 +142,8 @@ def generate_model_example(model: Type["Model"], relation_map: Dict = None) -> D
     )
     for name, field in model.Meta.model_fields.items():
         if not field.is_relation:
-            if field.__type__ == bytes and field.represent_as_base64_str:
+            is_bytes_str = field.__type__ == bytes and field.represent_as_base64_str
-                example[name] = "string"
+            example[name] = field.__sample__ if not is_bytes_str else "string"
-            else:
-                example[name] = field.__sample__
         elif isinstance(relation_map, dict) and name in relation_map:
             example[name] = get_nested_model_example(
                 name=name, field=field, relation_map=relation_map