nonebot2/nonebot/dependencies/__init__.py
2022-01-12 19:24:01 +08:00

194 lines
6.1 KiB
Python

"""
## 依赖注入处理模块
该模块实现了依赖注入的定义与处理。
"""
import abc
import inspect
from typing import Any, Dict, List, Type, Generic, TypeVar, Callable, Optional
from pydantic import BaseConfig
from pydantic.schema import get_annotation_from_field_info
from pydantic.fields import Required, FieldInfo, Undefined, ModelField
from nonebot.log import logger
from .utils import get_typed_signature
from nonebot.exception import TypeMisMatch
from nonebot.utils import run_sync, is_coroutine_callable
T = TypeVar("T", bound="Dependent")
R = TypeVar("R")
class Param(abc.ABC, FieldInfo):
@classmethod
def _check_param(
cls, dependent: "Dependent", name: str, param: inspect.Parameter
) -> Optional["Param"]:
return None
@classmethod
def _check_parameterless(
cls, dependent: "Dependent", value: Any
) -> Optional["Param"]:
return None
@abc.abstractmethod
async def _solve(self, **kwargs: Any) -> Any:
raise NotImplementedError
class CustomConfig(BaseConfig):
arbitrary_types_allowed = True
class Dependent(Generic[R]):
def __init__(
self,
*,
call: Callable[..., Any],
pre_checkers: Optional[List[Param]] = None,
params: Optional[List[ModelField]] = None,
parameterless: Optional[List[Param]] = None,
allow_types: Optional[List[Type[Param]]] = None,
) -> None:
self.call = call
self.pre_checkers = pre_checkers or []
self.params = params or []
self.parameterless = parameterless or []
self.allow_types = allow_types or []
def __repr__(self) -> str:
return (
f"<Dependent call={self.call}, params={self.params},"
f" parameterless={self.parameterless}>"
)
def __str__(self) -> str:
return self.__repr__()
async def __call__(self, **kwargs: Any) -> R:
values = await self.solve(**kwargs)
if is_coroutine_callable(self.call):
return await self.call(**values)
else:
return await run_sync(self.call)(**values)
def parse_param(self, name: str, param: inspect.Parameter) -> Param:
for allow_type in self.allow_types:
field_info = allow_type._check_param(self, name, param)
if field_info:
return field_info
else:
raise ValueError(
f"Unknown parameter {name} for function {self.call} with type {param.annotation}"
)
def parse_parameterless(self, value: Any) -> Param:
for allow_type in self.allow_types:
field_info = allow_type._check_parameterless(self, value)
if field_info:
return field_info
else:
raise ValueError(
f"Unknown parameterless {value} for function {self.call} with type {type(value)}"
)
def prepend_parameterless(self, value: Any) -> None:
self.parameterless.insert(0, self.parse_parameterless(value))
def append_parameterless(self, value: Any) -> None:
self.parameterless.append(self.parse_parameterless(value))
@classmethod
def parse(
cls: Type[T],
*,
call: Callable[..., Any],
parameterless: Optional[List[Any]] = None,
allow_types: Optional[List[Type[Param]]] = None,
) -> T:
signature = get_typed_signature(call)
params = signature.parameters
dependent = cls(
call=call,
allow_types=allow_types,
)
for param_name, param in params.items():
default_value = Required
if param.default != param.empty:
default_value = param.default
if isinstance(default_value, Param):
field_info = default_value
default_value = field_info.default
else:
field_info = dependent.parse_param(param_name, param)
default_value = field_info.default
annotation: Any = Any
required = default_value == Required
if param.annotation != param.empty:
annotation = param.annotation
annotation = get_annotation_from_field_info(
annotation, field_info, param_name
)
dependent.params.append(
ModelField(
name=param_name,
type_=annotation,
class_validators=None,
model_config=CustomConfig,
default=None if required else default_value,
required=required,
field_info=field_info,
)
)
parameterless_params = [
dependent.parse_parameterless(param) for param in (parameterless or [])
]
dependent.parameterless.extend(parameterless_params)
logger.trace(
f"Parsed dependent with call={call}, "
f"params={[param.field_info for param in dependent.params]}, "
f"parameterless={dependent.parameterless}"
)
return dependent
async def solve(
self,
**params: Any,
) -> Dict[str, Any]:
values: Dict[str, Any] = {}
for checker in self.pre_checkers:
await checker._solve(**params)
for param in self.parameterless:
await param._solve(**params)
for field in self.params:
field_info = field.field_info
assert isinstance(field_info, Param), "Params must be subclasses of Param"
value = await field_info._solve(**params)
if value == Undefined:
value = field.get_default()
_, errs_ = field.validate(value, values, loc=(str(field_info), field.alias))
if errs_:
logger.debug(
f"{field_info} "
f"type {type(value)} not match depends {self.call} "
f"annotation {field._type_display()}, ignored"
)
raise TypeMisMatch(field, value)
else:
values[field.name] = value
return values