nonebot2/nonebot/internal/params.py

539 lines
16 KiB
Python

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 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):
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` 或 `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,
}