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from typing import Generic, TypeVar
from nonebot import logger
from ..typing import FUNCTION_CALL_FUNC
from .params import P
F = TypeVar("F", bound=FUNCTION_CALL_FUNC)
class Caller(Generic[P]):
def __init__(self, name: str | None = None, description: str | None = None):
self._name = name
self._description = description
self._parameters: dict[str, P] = {}
self.func: FUNCTION_CALL_FUNC | None = None
def params(self, **kwargs: P) -> "Caller":
"""设置多个函数参数
Args:
**kwargs: 参数字典
Returns:
Caller: Caller对象
"""
self._parameters.update(kwargs)
return self
def param(self, name: str, param: P) -> "Caller":
"""设置一个函数参数
Args:
name (str): 参数名
param (P): 参数对象
Returns:
Caller: Caller对象
"""
self._parameters[name] = param
return self
def name(self, name: str) -> "Caller":
"""设置函数名称
Args:
name (str): 函数名称
Returns:
Caller: Caller对象
"""
self._name = name
return self
def description(self, description: str) -> "Caller":
"""设置函数描述
Args:
description (str): 函数描述
Returns:
Caller: Caller对象
"""
self._description = description
return self
def __call__(self, func: F) -> F:
"""装饰函数注册为一个可被AI调用的function call函数
Args:
func (F): 函数对象
Returns:
F: 函数对象
"""
logger.opt(colors=True).info(
f"<y>加载函数 {func.__name__} {self._description}</y>"
)
self.func = func
return func
def on_function_call(name: str | None = None, description: str | None = None) -> Caller:
"""返回一个Caller类可用于装饰一个函数使其注册为一个可被AI调用的function call函数
Args:
description: 函数描述若为None则从函数的docstring中获取
Returns:
Caller: Caller对象
"""
return Caller(name=name, description=description)