nonebot2/nonebot/internal/params.py

539 lines
16 KiB
Python
Raw Normal View History

import asyncio
import inspect
from typing_extensions import Self, Annotated, override
from contextlib import AsyncExitStack, contextmanager, asynccontextmanager
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, FieldInfo, Undefined, ModelField
from nonebot.dependencies.utils import check_field_type
from nonebot.dependencies import Param, Dependent, CustomConfig
from nonebot.typing import T_State, T_Handler, T_DependencyCache
from nonebot.utils import (
get_name,
run_sync,
is_gen_callable,
run_sync_ctx_manager,
is_async_gen_callable,
is_coroutine_callable,
generic_check_issubclass,
)
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__(
self,
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"
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
def depend_func() -> Any:
return ...
def depend_gen_func():
try:
yield ...
finally:
...
async def handler(
param_name: Any = Depends(depend_func),
gen: Any = Depends(depend_gen_func),
):
...
```
"""
return DependsInner(dependency, use_cache=use_cache, validate=validate)
class DependParam(Param):
"""子依赖注入参数。
本注入解析所有子依赖注入然后将它们的返回值作为参数值传递给父依赖
本注入应该具有最高优先级因此应该在其他参数之前检查
"""
def __repr__(self) -> str:
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[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 reversed(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
), "Dependency cannot be empty"
dependency = type_annotation
else:
dependency = depends_inner.dependency
# parse sub dependency
sub_dependent = Dependent[Any].parse(
call=dependency,
allow_types=allow_types,
)
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"]:
if isinstance(value, DependsInner):
assert value.dependency, "Dependency cannot be empty"
dependent = Dependent[Any].parse(
call=value.dependency, allow_types=allow_types
)
return cls._from_field(dependent, value.use_cache, value.validate)
@override
async def _solve(
self,
stack: Optional[AsyncExitStack] = None,
dependency_cache: Optional[T_DependencyCache] = None,
**kwargs: Any,
) -> Any:
use_cache: bool = self.extra["use_cache"]
dependency_cache = {} if dependency_cache is None else dependency_cache
sub_dependent: Dependent = self.extra["dependent"]
call = cast(Callable[..., Any], sub_dependent.call)
# solve sub dependency with current cache
sub_values = await sub_dependent.solve(
stack=stack,
dependency_cache=dependency_cache,
**kwargs,
)
# run dependency function
task: asyncio.Task[Any]
if use_cache and call in dependency_cache:
return await dependency_cache[call]
elif is_gen_callable(call) or is_async_gen_callable(call):
assert isinstance(
stack, AsyncExitStack
), "Generator dependency should be called in context"
if is_gen_callable(call):
cm = run_sync_ctx_manager(contextmanager(call)(**sub_values))
else:
cm = asynccontextmanager(call)(**sub_values)
task = asyncio.create_task(stack.enter_async_context(cm))
dependency_cache[call] = task
return await task
elif is_coroutine_callable(call):
task = asyncio.create_task(call(**sub_values))
dependency_cache[call] = task
return await task
else:
task = asyncio.create_task(run_sync(call)(**sub_values))
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"]
await sub_dependent.check(**kwargs)
class BotParam(Param):
"""{ref}`nonebot.adapters.Bot` 注入参数。
本注入解析所有类型为且仅为 {ref}`nonebot.adapters.Bot` 及其子类或 `None` 的参数
为保证兼容性本注入还会解析名为 `bot` 且没有类型注解的参数
"""
def __repr__(self) -> str:
return (
"BotParam("
+ (
repr(cast(ModelField, checker).type_)
if (checker := self.extra.get("checker"))
else ""
)
+ ")"
)
@classmethod
@override
def _check_param(
cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
) -> Optional[Self]:
from nonebot.adapters import Bot
# param type is Bot(s) or subclass(es) of Bot or None
if generic_check_issubclass(param.annotation, Bot):
checker: Optional[ModelField] = None
if param.annotation is not Bot:
checker = ModelField(
name=param.name,
type_=param.annotation,
class_validators=None,
model_config=CustomConfig,
default=None,
required=True,
)
return cls(Required, checker=checker)
# legacy: param is named "bot" and has no type annotation
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)
class EventParam(Param):
"""{ref}`nonebot.adapters.Event` 注入参数
本注入解析所有类型为且仅为 {ref}`nonebot.adapters.Event` 及其子类或 `None` 的参数
为保证兼容性本注入还会解析名为 `event` 且没有类型注解的参数
"""
def __repr__(self) -> str:
return (
"EventParam("
+ (
repr(cast(ModelField, checker).type_)
if (checker := self.extra.get("checker"))
else ""
)
+ ")"
)
@classmethod
@override
def _check_param(
cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
) -> Optional[Self]:
from nonebot.adapters import Event
# param type is Event(s) or subclass(es) of Event or None
if generic_check_issubclass(param.annotation, Event):
checker: Optional[ModelField] = None
if param.annotation is not Event:
checker = ModelField(
name=param.name,
type_=param.annotation,
class_validators=None,
model_config=CustomConfig,
default=None,
required=True,
)
return cls(Required, checker=checker)
# legacy: param is named "event" and has no type annotation
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)
class StateParam(Param):
"""事件处理状态注入参数
本注入解析所有类型为 `T_State` 的参数
为保证兼容性本注入还会解析名为 `state` 且没有类型注解的参数
"""
def __repr__(self) -> str:
return "StateParam()"
@classmethod
@override
def _check_param(
cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
) -> Optional[Self]:
# param type is T_State
if param.annotation is T_State:
return cls(Required)
# legacy: param is named "state" and has no type annotation
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
class MatcherParam(Param):
"""事件响应器实例注入参数
本注入解析所有类型为且仅为 {ref}`nonebot.matcher.Matcher` 及其子类或 `None` 的参数
为保证兼容性本注入还会解析名为 `matcher` 且没有类型注解的参数
"""
def __repr__(self) -> str:
return "MatcherParam()"
@classmethod
@override
def _check_param(
cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
) -> Optional[Self]:
from nonebot.matcher import Matcher
# param type is Matcher(s) or subclass(es) of Matcher or None
if generic_check_issubclass(param.annotation, Matcher):
checker: Optional[ModelField] = None
if param.annotation is not Matcher:
checker = ModelField(
name=param.name,
type_=param.annotation,
class_validators=None,
model_config=CustomConfig,
default=None,
required=True,
)
return cls(Required, checker=checker)
# legacy: param is named "matcher" and has no type annotation
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)
class ArgInner:
def __init__(
self, key: Optional[str], type: Literal["message", "str", "plaintext"]
) -> None:
self.key = key
self.type = type
def __repr__(self) -> str:
return f"ArgInner(key={self.key!r}, type={self.type!r})"
def Arg(key: Optional[str] = None) -> Any:
"""Arg 参数消息"""
return ArgInner(key, "message")
def ArgStr(key: Optional[str] = None) -> str:
"""Arg 参数消息文本"""
return ArgInner(key, "str") # type: ignore
def ArgPlainText(key: Optional[str] = None) -> str:
"""Arg 参数消息纯文本"""
return ArgInner(key, "plaintext") # type: ignore
class ArgParam(Param):
"""Arg 注入参数
本注入解析事件响应器操作 `got` 所获取的参数
可以通过 `Arg``ArgStr``ArgPlainText` 等函数参数 `key` 指定获取的参数
留空则会根据参数名称获取
"""
def __repr__(self) -> str:
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[Self]:
if isinstance(param.default, ArgInner):
return cls(
Required, key=param.default.key or param.name, type=param.default.type
)
elif get_origin(param.annotation) is Annotated:
for arg in get_args(param.annotation)[:0:-1]:
if isinstance(arg, ArgInner):
return cls(Required, key=arg.key or param.name, type=arg.type)
async def _solve(self, matcher: "Matcher", **kwargs: Any) -> Any:
key: str = self.extra["key"]
message = matcher.get_arg(key)
if message is None:
return message
if self.extra["type"] == "message":
return message
elif self.extra["type"] == "str":
return str(message)
else:
return message.extract_plain_text()
class ExceptionParam(Param):
"""{ref}`nonebot.message.run_postprocessor` 的异常注入参数
本注入解析所有类型为 `Exception` `None` 的参数
为保证兼容性本注入还会解析名为 `exception` 且没有类型注解的参数
"""
def __repr__(self) -> str:
return "ExceptionParam()"
@classmethod
@override
def _check_param(
cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
) -> Optional[Self]:
# param type is Exception(s) or subclass(es) of Exception or None
if generic_check_issubclass(param.annotation, Exception):
return cls(Required)
# legacy: param is named "exception" and has no type annotation
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
class DefaultParam(Param):
"""默认值注入参数
本注入解析所有剩余未能解析且具有默认值的参数
本注入参数应该具有最低优先级因此应该在所有其他注入参数之后使用
"""
def __repr__(self) -> str:
return f"DefaultParam(default={self.default!r})"
@classmethod
@override
def _check_param(
cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
) -> Optional[Self]:
if param.default != param.empty:
return cls(param.default)
@override
async def _solve(self, **kwargs: Any) -> Any:
return Undefined
__autodoc__ = {
"DependsInner": False,
"StateInner": False,
"ArgInner": False,
}