✨ Feature: 支持子依赖定义 Pydantic 类型校验 (#2310)

nonebot/dependencies/__init__.py

@@ -45,6 +45,10 @@ class Param(abc.ABC, FieldInfo):
     继承自 `pydantic.fields.FieldInfo`，用于描述参数信息（不包括参数名）。
     """
 
+    def __init__(self, *args, validate: bool = False, **kwargs: Any) -> None:
+        super().__init__(*args, **kwargs)
+        self.validate = validate
+
     @classmethod
     def _check_param(
         cls, param: inspect.Parameter, allow_types: Tuple[Type["Param"], ...]
@@ -206,10 +210,12 @@ class Dependent(Generic[R]):
             raise
 
     async def _solve_field(self, field: ModelField, params: Dict[str, Any]) -> Any:
-        value = await cast(Param, field.field_info)._solve(**params)
+        param = cast(Param, field.field_info)
+        value = await param._solve(**params)
         if value is Undefined:
             value = field.get_default()
-        return check_field_type(field, value)
+        v = check_field_type(field, value)
+        return v if param.validate else value
 
     async def solve(self, **params: Any) -> Dict[str, Any]:
         # solve parameterless

nonebot/dependencies/utils.py

@@ -5,7 +5,7 @@ FrontMatter:
 """
 
 import inspect
-from typing import Any, Dict, TypeVar, Callable, ForwardRef
+from typing import Any, Dict, Callable, ForwardRef
 
 from loguru import logger
 from pydantic.fields import ModelField
@@ -13,8 +13,6 @@ from pydantic.typing import evaluate_forwardref
 
 from nonebot.exception import TypeMisMatch
 
-V = TypeVar("V")
-
 
 def get_typed_signature(call: Callable[..., Any]) -> inspect.Signature:
     """获取可调用对象签名"""
@@ -49,10 +47,10 @@ def get_typed_annotation(param: inspect.Parameter, globalns: Dict[str, Any]) ->
     return annotation
 
 
-def check_field_type(field: ModelField, value: V) -> V:
+def check_field_type(field: ModelField, value: Any) -> Any:
     """检查字段类型是否匹配"""
 
-    _, errs_ = field.validate(value, {}, loc=())
+    v, errs_ = field.validate(value, {}, loc=())
     if errs_:
         raise TypeMisMatch(field, value)
-    return value
+    return v

nonebot/internal/params.py

@@ -1,11 +1,21 @@
 import asyncio
 import inspect
-from typing_extensions import Annotated
+from typing_extensions import Self, Annotated, override
 from contextlib import AsyncExitStack, contextmanager, asynccontextmanager
-from typing import TYPE_CHECKING, Any, Type, Tuple, Literal, Callable, Optional, cast
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Type,
+    Tuple,
+    Union,
+    Literal,
+    Callable,
+    Optional,
+    cast,
+)
 
 from pydantic.typing import get_args, get_origin
-from pydantic.fields import Required, Undefined, ModelField
+from pydantic.fields import Required, FieldInfo, Undefined, ModelField
 
 from nonebot.dependencies.utils import check_field_type
 from nonebot.dependencies import Param, Dependent, CustomConfig
@@ -24,6 +34,23 @@ if TYPE_CHECKING:
     from nonebot.matcher import Matcher
     from nonebot.adapters import Bot, Event
 
+EXTRA_FIELD_INFO = (
+    "gt",
+    "lt",
+    "ge",
+    "le",
+    "multiple_of",
+    "allow_inf_nan",
+    "max_digits",
+    "decimal_places",
+    "min_items",
+    "max_items",
+    "unique_items",
+    "min_length",
+    "max_length",
+    "regex",
+)
+
 
 class DependsInner:
     def __init__(
@@ -31,26 +58,31 @@ class DependsInner:
         dependency: Optional[T_Handler] = None,
         *,
         use_cache: bool = True,
+        validate: Union[bool, FieldInfo] = False,
     ) -> None:
         self.dependency = dependency
         self.use_cache = use_cache
+        self.validate = validate
 
     def __repr__(self) -> str:
         dep = get_name(self.dependency)
         cache = "" if self.use_cache else ", use_cache=False"
-        return f"DependsInner({dep}{cache})"
+        validate = f", validate={self.validate}" if self.validate else ""
+        return f"DependsInner({dep}{cache}{validate})"
 
 
 def Depends(
     dependency: Optional[T_Handler] = None,
     *,
     use_cache: bool = True,
+    validate: Union[bool, FieldInfo] = False,
 ) -> Any:
     """子依赖装饰器
 
     参数:
         dependency: 依赖函数。默认为参数的类型注释。
         use_cache: 是否使用缓存。默认为 `True`。
+        validate: 是否使用 Pydantic 类型校验。默认为 `False`。
 
     用法:
         ```python
@@ -70,7 +102,7 @@ def Depends(
             ...
         ```
     """
-    return DependsInner(dependency, use_cache=use_cache)
+    return DependsInner(dependency, use_cache=use_cache, validate=validate)
 
 
 class DependParam(Param):
@@ -85,23 +117,44 @@ class DependParam(Param):
         return f"Depends({self.extra['dependent']})"
 
     @classmethod
+    def _from_field(
+        cls, sub_dependent: Dependent, use_cache: bool, validate: Union[bool, FieldInfo]
+    ) -> Self:
+        kwargs = {}
+        if isinstance(validate, FieldInfo):
+            kwargs.update((k, getattr(validate, k)) for k in EXTRA_FIELD_INFO)
+
+        return cls(
+            Required,
+            validate=bool(validate),
+            **kwargs,
+            dependent=sub_dependent,
+            use_cache=use_cache,
+        )
+
+    @classmethod
+    @override
     def _check_param(
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
-    ) -> Optional["DependParam"]:
+    ) -> Optional[Self]:
         type_annotation, depends_inner = param.annotation, None
+        # extract type annotation and dependency from Annotated
         if get_origin(param.annotation) is Annotated:
             type_annotation, *extra_args = get_args(param.annotation)
             depends_inner = next(
                 (x for x in extra_args if isinstance(x, DependsInner)), None
             )
 
+        # param default value takes higher priority
         depends_inner = (
             param.default if isinstance(param.default, DependsInner) else depends_inner
         )
+        # not a dependent
         if depends_inner is None:
             return
 
         dependency: T_Handler
+        # sub dependency is not specified, use type annotation
         if depends_inner.dependency is None:
             assert (
                 type_annotation is not inspect.Signature.empty
@@ -109,13 +162,18 @@ class DependParam(Param):
             dependency = type_annotation
         else:
             dependency = depends_inner.dependency
+        # parse sub dependency
         sub_dependent = Dependent[Any].parse(
             call=dependency,
             allow_types=allow_types,
         )
-        return cls(Required, use_cache=depends_inner.use_cache, dependent=sub_dependent)
+
+        return cls._from_field(
+            sub_dependent, depends_inner.use_cache, depends_inner.validate
+        )
 
     @classmethod
+    @override
     def _check_parameterless(
         cls, value: Any, allow_types: Tuple[Type[Param], ...]
     ) -> Optional["Param"]:
@@ -124,8 +182,9 @@ class DependParam(Param):
             dependent = Dependent[Any].parse(
                 call=value.dependency, allow_types=allow_types
             )
-            return cls(Required, use_cache=value.use_cache, dependent=dependent)
+            return cls._from_field(dependent, value.use_cache, value.validate)
 
+    @override
     async def _solve(
         self,
         stack: Optional[AsyncExitStack] = None,
@@ -169,6 +228,7 @@ class DependParam(Param):
             dependency_cache[call] = task
             return await task
 
+    @override
     async def _check(self, **kwargs: Any) -> None:
         # run sub dependent pre-checkers
         sub_dependent: Dependent = self.extra["dependent"]
@@ -195,9 +255,10 @@ class BotParam(Param):
         )
 
     @classmethod
+    @override
     def _check_param(
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
-    ) -> Optional["BotParam"]:
+    ) -> Optional[Self]:
         from nonebot.adapters import Bot
 
         # param type is Bot(s) or subclass(es) of Bot or None
@@ -217,9 +278,11 @@ class BotParam(Param):
         elif param.annotation == param.empty and param.name == "bot":
             return cls(Required)
 
+    @override
     async def _solve(self, bot: "Bot", **kwargs: Any) -> Any:
         return bot
 
+    @override
     async def _check(self, bot: "Bot", **kwargs: Any) -> None:
         if checker := self.extra.get("checker"):
             check_field_type(checker, bot)
@@ -245,9 +308,10 @@ class EventParam(Param):
         )
 
     @classmethod
+    @override
     def _check_param(
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
-    ) -> Optional["EventParam"]:
+    ) -> Optional[Self]:
         from nonebot.adapters import Event
 
         # param type is Event(s) or subclass(es) of Event or None
@@ -267,9 +331,11 @@ class EventParam(Param):
         elif param.annotation == param.empty and param.name == "event":
             return cls(Required)
 
+    @override
     async def _solve(self, event: "Event", **kwargs: Any) -> Any:
         return event
 
+    @override
     async def _check(self, event: "Event", **kwargs: Any) -> Any:
         if checker := self.extra.get("checker", None):
             check_field_type(checker, event)
@@ -287,9 +353,10 @@ class StateParam(Param):
         return "StateParam()"
 
     @classmethod
+    @override
     def _check_param(
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
-    ) -> Optional["StateParam"]:
+    ) -> Optional[Self]:
         # param type is T_State
         if param.annotation is T_State:
             return cls(Required)
@@ -297,6 +364,7 @@ class StateParam(Param):
         elif param.annotation == param.empty and param.name == "state":
             return cls(Required)
 
+    @override
     async def _solve(self, state: T_State, **kwargs: Any) -> Any:
         return state
 
@@ -313,9 +381,10 @@ class MatcherParam(Param):
         return "MatcherParam()"
 
     @classmethod
+    @override
     def _check_param(
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
-    ) -> Optional["MatcherParam"]:
+    ) -> Optional[Self]:
         from nonebot.matcher import Matcher
 
         # param type is Matcher(s) or subclass(es) of Matcher or None
@@ -335,9 +404,11 @@ class MatcherParam(Param):
         elif param.annotation == param.empty and param.name == "matcher":
             return cls(Required)
 
+    @override
     async def _solve(self, matcher: "Matcher", **kwargs: Any) -> Any:
         return matcher
 
+    @override
     async def _check(self, matcher: "Matcher", **kwargs: Any) -> Any:
         if checker := self.extra.get("checker", None):
             check_field_type(checker, matcher)
@@ -382,9 +453,10 @@ class ArgParam(Param):
         return f"ArgParam(key={self.extra['key']!r}, type={self.extra['type']!r})"
 
     @classmethod
+    @override
     def _check_param(
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
-    ) -> Optional["ArgParam"]:
+    ) -> Optional[Self]:
         if isinstance(param.default, ArgInner):
             return cls(
                 Required, key=param.default.key or param.name, type=param.default.type
@@ -419,9 +491,10 @@ class ExceptionParam(Param):
         return "ExceptionParam()"
 
     @classmethod
+    @override
     def _check_param(
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
-    ) -> Optional["ExceptionParam"]:
+    ) -> Optional[Self]:
         # param type is Exception(s) or subclass(es) of Exception or None
         if generic_check_issubclass(param.annotation, Exception):
             return cls(Required)
@@ -429,6 +502,7 @@ class ExceptionParam(Param):
         elif param.annotation == param.empty and param.name == "exception":
             return cls(Required)
 
+    @override
     async def _solve(self, exception: Optional[Exception] = None, **kwargs: Any) -> Any:
         return exception
 
@@ -445,12 +519,14 @@ class DefaultParam(Param):
         return f"DefaultParam(default={self.default!r})"
 
     @classmethod
+    @override
     def _check_param(
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
-    ) -> Optional["DefaultParam"]:
+    ) -> Optional[Self]:
         if param.default != param.empty:
             return cls(param.default)
 
+    @override
     async def _solve(self, **kwargs: Any) -> Any:
         return Undefined
 

tests/plugins/param/param_depend.py

@@ -1,7 +1,10 @@
 from dataclasses import dataclass
 from typing_extensions import Annotated
 
+from pydantic import Field
+
 from nonebot import on_message
+from nonebot.adapters import Bot
 from nonebot.params import Depends
 
 test_depends = on_message()
@@ -33,6 +36,14 @@ class ClassDependency:
     y: int = Depends(gen_async)
 
 
+class FooBot(Bot):
+    ...
+
+
+async def sub_bot(b: FooBot) -> FooBot:
+    return b
+
+
 # test parameterless
 @test_depends.handle(parameterless=[Depends(parameterless)])
 async def depends(x: int = Depends(dependency)):
@@ -46,19 +57,46 @@ async def depends_cache(y: int = Depends(dependency, use_cache=True)):
     return y
 
 
+# test class dependency
 async def class_depend(c: ClassDependency = Depends()):
     return c
 
 
+# test annotated dependency
 async def annotated_depend(x: Annotated[int, Depends(dependency)]):
     return x
 
 
+# test annotated class dependency
 async def annotated_class_depend(c: Annotated[ClassDependency, Depends()]):
     return c
 
 
+# test dependency priority
 async def annotated_prior_depend(
     x: Annotated[int, Depends(lambda: 2)] = Depends(dependency)
 ):
     return x
+
+
+# test sub dependency type mismatch
+async def sub_type_mismatch(b: FooBot = Depends(sub_bot)):
+    return b
+
+
+# test type validate
+async def validate(x: int = Depends(lambda: "1", validate=True)):
+    return x
+
+
+async def validate_fail(x: int = Depends(lambda: "not_number", validate=True)):
+    return x
+
+
+# test FieldInfo validate
+async def validate_field(x: int = Depends(lambda: "1", validate=Field(gt=0))):
+    return x
+
+
+async def validate_field_fail(x: int = Depends(lambda: "0", validate=Field(gt=0))):
+    return x

tests/test_param.py

@@ -42,9 +42,14 @@ async def test_depend(app: App):
         ClassDependency,
         runned,
         depends,
+        validate,
         class_depend,
         test_depends,
+        validate_fail,
+        validate_field,
         annotated_depend,
+        sub_type_mismatch,
+        validate_field_fail,
         annotated_class_depend,
         annotated_prior_depend,
     )
@@ -62,8 +67,7 @@ async def test_depend(app: App):
         event_next = make_fake_event()()
         ctx.receive_event(bot, event_next)
 
-    assert len(runned) == 2
-    assert runned[0] == runned[1] == 1
+    assert runned == [1, 1]
 
     runned.clear()
 
@@ -84,6 +88,29 @@ async def test_depend(app: App):
     ) as ctx:
         ctx.should_return(ClassDependency(x=1, y=2))
 
+    with pytest.raises(TypeMisMatch):  # noqa: PT012
+        async with app.test_dependent(
+            sub_type_mismatch, allow_types=[DependParam, BotParam]
+        ) as ctx:
+            bot = ctx.create_bot()
+            ctx.pass_params(bot=bot)
+
+    async with app.test_dependent(validate, allow_types=[DependParam]) as ctx:
+        ctx.should_return(1)
+
+    with pytest.raises(TypeMisMatch):
+        async with app.test_dependent(validate_fail, allow_types=[DependParam]) as ctx:
+            ...
+
+    async with app.test_dependent(validate_field, allow_types=[DependParam]) as ctx:
+        ctx.should_return(1)
+
+    with pytest.raises(TypeMisMatch):
+        async with app.test_dependent(
+            validate_field_fail, allow_types=[DependParam]
+        ) as ctx:
+            ...
+
 
 @pytest.mark.asyncio
 async def test_bot(app: App):

website/docs/advanced/dependency.mdx

@@ -353,6 +353,80 @@ async def _(x: int = Depends(random_result, use_cache=False)):
 缓存的生命周期与当前接收到的事件相同。接收到事件后，子依赖在首次执行时缓存，在该事件处理完成后，缓存就会被清除。
 :::
 
+### 类型转换与校验
+
+在依赖注入系统中，我们可以对子依赖的返回值进行自动类型转换与校验。这个功能由 Pydantic 支持，因此我们通过参数类型注解自动使用 Pydantic 支持的类型转换。例如：
+
+<Tabs groupId="python">
+  <TabItem value="3.9" label="Python 3.9+" default>
+
+```python {6,9}
+from typing import Annotated
+
+from nonebot.params import Depends
+from nonebot.adapters import Event
+
+def get_user_id(event: Event) -> str:
+    return event.get_user_id()
+
+async def _(user_id: Annotated[int, Depends(get_user_id, validate=True)]):
+    print(user_id)
+```
+
+  </TabItem>
+  <TabItem value="3.8" label="Python 3.8+">
+
+```python {4,7}
+from nonebot.params import Depends
+from nonebot.adapters import Event
+
+def get_user_id(event: Event) -> str:
+    return event.get_user_id()
+
+async def _(user_id: int = Depends(get_user_id, validate=True)):
+    print(user_id)
+```
+
+  </TabItem>
+</Tabs>
+
+在进行类型自动转换的同时，Pydantic 还支持对数据进行更多的限制，如：大于、小于、长度等。使用方法如下：
+
+<Tabs groupId="python">
+  <TabItem value="3.9" label="Python 3.9+" default>
+
+```python {7,10}
+from typing import Annotated
+
+from pydantic import Field
+from nonebot.params import Depends
+from nonebot.adapters import Event
+
+def get_user_id(event: Event) -> str:
+    return event.get_user_id()
+
+async def _(user_id: Annotated[int, Depends(get_user_id, validate=Field(gt=100))]):
+    print(user_id)
+```
+
+  </TabItem>
+  <TabItem value="3.8" label="Python 3.8+">
+
+```python {5,8}
+from pydantic import Field
+from nonebot.params import Depends
+from nonebot.adapters import Event
+
+def get_user_id(event: Event) -> str:
+    return event.get_user_id()
+
+async def _(user_id: int = Depends(get_user_id, validate=Field(gt=100))):
+    print(user_id)
+```
+
+  </TabItem>
+</Tabs>
+
 ### 类作为依赖
 
 在前面的事例中，我们使用了函数作为子依赖。实际上，我们还可以使用类作为依赖。当我们在实例化一个类的时候，其实我们就在调用它，类本身也是一个可调用对象。例如：