Decode cache data to the correct endpoint type

Use the return annotation to decode cached data to the correct type.
This follows the same logic FastAPI uses to JSON request bodies.

For the PickleCoder, this is a no-op as pickle already stores type
information in the serialised data.

tests/test_codecs.py

@@ -1,8 +1,25 @@
-from typing import Any
+from dataclasses import dataclass
+from typing import Any, Optional
 
 import pytest
+from pydantic import BaseModel, ValidationError
 
-from fastapi_cache.coder import PickleCoder
+from fastapi_cache.coder import JsonCoder, PickleCoder
+
+
+@dataclass
+class DCItem:
+    name: str
+    price: float
+    description: Optional[str] = None
+    tax: Optional[float] = None
+
+
+class PDItem(BaseModel):
+    name: str
+    price: float
+    description: Optional[str] = None
+    tax: Optional[float] = None
 
 
 @pytest.mark.parametrize(
@@ -13,6 +30,8 @@ from fastapi_cache.coder import PickleCoder
         (1, 2),
         [1, 2, 3],
         {"some_key": 1, "other_key": 2},
+        DCItem(name="foo", price=42.0, description="some dataclass item", tax=0.2),
+        PDItem(name="foo", price=42.0, description="some pydantic item", tax=0.2),
     ],
 )
 def test_pickle_coder(value: Any) -> None:
@@ -20,3 +39,28 @@ def test_pickle_coder(value: Any) -> None:
     assert isinstance(encoded_value, str)
     decoded_value = PickleCoder.decode(encoded_value)
     assert decoded_value == value
+
+
+@pytest.mark.parametrize(
+    ("value", "return_type"),
+    [
+        (1, None),
+        ("some_string", None),
+        ((1, 2), tuple[int, int]),
+        ([1, 2, 3], None),
+        ({"some_key": 1, "other_key": 2}, None),
+        (DCItem(name="foo", price=42.0, description="some dataclass item", tax=0.2), DCItem),
+        (PDItem(name="foo", price=42.0, description="some pydantic item", tax=0.2), PDItem),
+    ],
+)
+def test_json_coder(value: Any, return_type) -> None:
+    encoded_value = JsonCoder.encode(value)
+    assert isinstance(encoded_value, str)
+    decoded_value = JsonCoder.decode_as_type(encoded_value, type_=return_type)
+    assert decoded_value == value
+
+
+def test_json_coder_validation_error() -> None:
+    invalid = '{"name": "incomplete"}'
+    with pytest.raises(ValidationError):
+        JsonCoder.decode_as_type(invalid, type_=PDItem)