🐛 修复 pydantic model 不能被正确反序列化的bug

nonebot_plugin_tetris_stats/db/models.py

@@ -1,9 +1,10 @@
+from collections.abc import Callable, Sequence
 from datetime import datetime
 from typing import Any
 
 from nonebot.adapters import Message
 from nonebot_plugin_orm import Model
-from pydantic import BaseModel
+from pydantic import BaseModel, ValidationError
 from sqlalchemy import JSON, DateTime, Dialect, PickleType, String, TypeDecorator
 from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
 
@@ -14,16 +15,24 @@ from ..utils.typing import CommandType, GameType
 class PydanticType(TypeDecorator):
     impl = JSON
 
+    def __init__(self, get_model: Callable[[], Sequence[type[BaseModel]]], *args: Any, **kwargs: Any):  # noqa: ANN401
+        self.get_model = get_model
+        super().__init__(*args, **kwargs)
+
     def process_bind_param(self, value: Any | None, dialect: Dialect) -> str:  # noqa: ANN401
         # 将 Pydantic 模型实例转换为 JSON
-        if isinstance(value, BaseModel):
-            return value.json()
+        if isinstance(value, tuple(self.get_model())):
+            return value.json()  # type: ignore[union-attr]
         raise TypeError
 
     def process_result_value(self, value: Any | None, dialect: Dialect) -> BaseModel:  # noqa: ANN401
         # 将 JSON 转换回 Pydantic 模型实例
         if isinstance(value, str | bytes):
-            return BaseModel.parse_raw(value)
+            for i in self.get_model():
+                try:
+                    return i.parse_raw(value)
+                except ValidationError:  # noqa: PERF203
+                    ...
         raise TypeError
 
 
@@ -46,6 +55,8 @@ class HistoricalData(MappedAsDataclass, Model):
     game_platform: Mapped[GameType] = mapped_column(String(32), index=True, init=False)
     command_type: Mapped[CommandType] = mapped_column(String(16), index=True, init=False)
     command_args: Mapped[list[str]] = mapped_column(JSON, init=False)
-    game_user: Mapped[BaseUser] = mapped_column(PydanticType, init=False)
-    processed_data: Mapped[BaseProcessedData] = mapped_column(PydanticType, init=False)
+    game_user: Mapped[BaseUser] = mapped_column(PydanticType(get_model=BaseUser.__subclasses__), init=False)
+    processed_data: Mapped[BaseProcessedData] = mapped_column(
+        PydanticType(get_model=BaseProcessedData.__subclasses__), init=False
+    )
     finish_time: Mapped[datetime] = mapped_column(DateTime, init=False)