"""Tool for asking human input."""

from typing import Callable, Optional

from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from pydantic import Field


def _print_func(text: str) -> None:
    print("\n")  # noqa: T201
    print(text)  # noqa: T201


class HumanInputRun(BaseTool):
    """Tool that asks user for input."""

    name: str = "human"
    description: str = (
        "You can ask a human for guidance when you think you "
        "got stuck or you are not sure what to do next. "
        "The input should be a question for the human."
    )
    prompt_func: Callable[[str], None] = Field(default_factory=lambda: _print_func)
    input_func: Callable = Field(default_factory=lambda: input)

    def _run(
        self,
        query: str,
        run_manager: Optional[CallbackManagerForToolRun] = None,
    ) -> str:
        """Use the Human input tool."""
        self.prompt_func(query)
        return self.input_func()

"""Tool for asking human input."""

from typing import Callable, Optional

from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from pydantic import Field


def _print_func(text: str) -> None:
    print("\n")  # noqa: T201
    print(text)  # noqa: T201


class HumanInputRun(BaseTool):  # type: ignore[override]
    """Tool that asks user for input."""

    name: str = "human"
    description: str = (
        "You can ask a human for guidance when you think you "
        "got stuck or you are not sure what to do next. "
        "The input should be a question for the human."
    )
    prompt_func: Callable[[str], None] = Field(default_factory=lambda: _print_func)
    input_func: Callable = Field(default_factory=lambda: input)

    def _run(
        self,
        query: str,
        run_manager: Optional[CallbackManagerForToolRun] = None,
    ) -> str:
        """Use the Human input tool."""
        self.prompt_func(query)
        return self.input_func()
