mirror of
https://github.com/nonebot/nonebot2.git
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226 lines
6.7 KiB
Python
226 lines
6.7 KiB
Python
"""本模块模块实现了依赖注入的定义与处理。
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FrontMatter:
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sidebar_position: 0
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description: nonebot.dependencies 模块
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"""
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import abc
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import asyncio
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import inspect
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from dataclasses import field, dataclass
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from typing import (
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Any,
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Dict,
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List,
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Type,
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Tuple,
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Generic,
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TypeVar,
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Callable,
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Iterable,
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Optional,
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Awaitable,
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cast,
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)
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from pydantic import BaseConfig
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from pydantic.schema import get_annotation_from_field_info
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from pydantic.fields import Required, FieldInfo, Undefined, ModelField
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from nonebot.log import logger
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from nonebot.typing import _DependentCallable
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from nonebot.exception import SkippedException
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from nonebot.utils import run_sync, is_coroutine_callable
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from .utils import check_field_type, get_typed_signature
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R = TypeVar("R")
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T = TypeVar("T", bound="Dependent")
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class Param(abc.ABC, FieldInfo):
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"""依赖注入的基本单元 —— 参数。
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继承自 `pydantic.fields.FieldInfo`,用于描述参数信息(不包括参数名)。
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"""
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@classmethod
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def _check_param(
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cls, param: inspect.Parameter, allow_types: Tuple[Type["Param"], ...]
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) -> Optional["Param"]:
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return
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@classmethod
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def _check_parameterless(
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cls, value: Any, allow_types: Tuple[Type["Param"], ...]
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) -> Optional["Param"]:
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return
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@abc.abstractmethod
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async def _solve(self, **kwargs: Any) -> Any:
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raise NotImplementedError
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async def _check(self, **kwargs: Any) -> None:
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return
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class CustomConfig(BaseConfig):
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arbitrary_types_allowed = True
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@dataclass(frozen=True)
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class Dependent(Generic[R]):
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"""依赖注入容器
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参数:
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call: 依赖注入的可调用对象,可以是任何 Callable 对象
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pre_checkers: 依赖注入解析前的参数检查
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params: 具名参数列表
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parameterless: 匿名参数列表
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allow_types: 允许的参数类型
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"""
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call: _DependentCallable[R]
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params: Tuple[ModelField] = field(default_factory=tuple)
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parameterless: Tuple[Param] = field(default_factory=tuple)
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def __repr__(self) -> str:
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if inspect.isfunction(self.call) or inspect.isclass(self.call):
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call_str = self.call.__name__
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else:
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call_str = repr(self.call)
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return (
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f"Dependent(call={call_str}"
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+ (f", parameterless={self.parameterless}" if self.parameterless else "")
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+ ")"
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)
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async def __call__(self, **kwargs: Any) -> R:
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# do pre-check
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await self.check(**kwargs)
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# solve param values
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values = await self.solve(**kwargs)
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# call function
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if is_coroutine_callable(self.call):
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return await cast(Callable[..., Awaitable[R]], self.call)(**values)
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else:
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return await run_sync(cast(Callable[..., R], self.call))(**values)
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@staticmethod
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def parse_params(
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call: _DependentCallable[R], allow_types: Tuple[Type[Param], ...]
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) -> Tuple[ModelField]:
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fields: List[ModelField] = []
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params = get_typed_signature(call).parameters.values()
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for param in params:
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default_value = Required
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if param.default != param.empty:
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default_value = param.default
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if isinstance(default_value, Param):
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field_info = default_value
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else:
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for allow_type in allow_types:
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if field_info := allow_type._check_param(param, allow_types):
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break
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else:
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raise ValueError(
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f"Unknown parameter {param.name} for function {call} with type {param.annotation}"
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)
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default_value = field_info.default
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annotation: Any = Any
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required = default_value == Required
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if param.annotation != param.empty:
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annotation = param.annotation
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annotation = get_annotation_from_field_info(
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annotation, field_info, param.name
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)
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fields.append(
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ModelField(
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name=param.name,
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type_=annotation,
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class_validators=None,
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model_config=CustomConfig,
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default=None if required else default_value,
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required=required,
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field_info=field_info,
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)
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)
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return tuple(fields)
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@staticmethod
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def parse_parameterless(
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parameterless: Tuple[Any, ...], allow_types: Tuple[Type[Param], ...]
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) -> Tuple[Param, ...]:
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parameterless_params: List[Param] = []
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for value in parameterless:
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for allow_type in allow_types:
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if param := allow_type._check_parameterless(value, allow_types):
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break
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else:
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raise ValueError(f"Unknown parameterless {value}")
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parameterless_params.append(param)
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return tuple(parameterless_params)
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@classmethod
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def parse(
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cls,
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*,
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call: _DependentCallable[R],
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parameterless: Optional[Iterable[Any]] = None,
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allow_types: Iterable[Type[Param]],
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) -> "Dependent[R]":
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allow_types = tuple(allow_types)
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params = cls.parse_params(call, allow_types)
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parameterless_params = (
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tuple()
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if parameterless is None
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else cls.parse_parameterless(tuple(parameterless), allow_types)
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)
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return cls(call, params, parameterless_params)
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async def check(self, **params: Any) -> None:
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try:
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await asyncio.gather(
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*(param._check(**params) for param in self.parameterless)
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)
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await asyncio.gather(
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*(
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cast(Param, param.field_info)._check(**params)
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for param in self.params
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)
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)
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except SkippedException as e:
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logger.trace(f"{self} skipped due to {e}")
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raise
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async def _solve_field(self, field: ModelField, params: Dict[str, Any]) -> Any:
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value = await cast(Param, field.field_info)._solve(**params)
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if value is Undefined:
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value = field.get_default()
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return check_field_type(field, value)
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async def solve(self, **params: Any) -> Dict[str, Any]:
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# solve parameterless
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for param in self.parameterless:
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await param._solve(**params)
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# solve param values
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values = await asyncio.gather(
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*(self._solve_field(field, params) for field in self.params)
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)
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return {field.name: value for field, value in zip(self.params, values)}
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__autodoc__ = {"CustomConfig": False}
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