Compare objects MRO with encoders at runtime

The previous implementation doesn't handle subclass instances when
pydantic.json.ENCODERS_BY_TYPE is modified after fastapi.encoders import.

This diff makes it easier for developers to add custom encoders that also work
with subclass instances (and it simplifies the code, as well).

fastapi/encoders.py

@@ -1,9 +1,8 @@
 import dataclasses
-from collections import defaultdict
 from enum import Enum
 from pathlib import PurePath
 from types import GeneratorType
-from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union
+from typing import Any, Callable, Dict, List, Optional, Set, Union
 
 from pydantic import BaseModel
 from pydantic.json import ENCODERS_BY_TYPE
@@ -12,20 +11,6 @@
 DictIntStrAny = Dict[Union[int, str], Any]
 
 
-def generate_encoders_by_class_tuples(
-    type_encoder_map: Dict[Any, Callable[[Any], Any]]
-) -> Dict[Callable[[Any], Any], Tuple[Any, ...]]:
-    encoders_by_class_tuples: Dict[Callable[[Any], Any], Tuple[Any, ...]] = defaultdict(
-        tuple
-    )
-    for type_, encoder in type_encoder_map.items():
-        encoders_by_class_tuples[encoder] += (type_,)
-    return encoders_by_class_tuples
-
-
-encoders_by_class_tuples = generate_encoders_by_class_tuples(ENCODERS_BY_TYPE)
-
-
 def jsonable_encoder(
     obj: Any,
     include: Optional[Union[SetIntStr, DictIntStrAny]] = None,
@@ -142,11 +127,9 @@ def jsonable_encoder(
             )
         return encoded_list
 
-    if type(obj) in ENCODERS_BY_TYPE:
-        return ENCODERS_BY_TYPE[type(obj)](obj)
-    for encoder, classes_tuple in encoders_by_class_tuples.items():
-        if isinstance(obj, classes_tuple):
-            return encoder(obj)
+    for base in obj.__class__.__mro__[:-1]:
+        if base in ENCODERS_BY_TYPE:
+            return ENCODERS_BY_TYPE[base](obj)
 
     try:
         data = dict(obj)