from abc import ABC, abstractmethod
from dataclasses import dataclass


@dataclass
class ToolResult:
    content: str


class Tool(ABC):
    @property
    @abstractmethod
    def name(self) -> str: ...

    @property
    @abstractmethod
    def description(self) -> str: ...

    @property
    @abstractmethod
    def schema(self) -> dict[str, object]: ...

    @abstractmethod
    def execute(self, arguments: dict[str, object]) -> ToolResult: ...


class ToolRegistry:
    def __init__(self) -> None:
        self.tools: dict[str, Tool] = {}

    def register(self, tool: Tool) -> None:
        self.tools[tool.name] = tool

    def get(self, name: str) -> Tool | None:
        return self.tools.get(name)

    def all(self) -> list[Tool]:
        return list(self.tools.values())

    def schemas(self) -> list[dict[str, object]]:
        return [
            {
                "type": "function",
                "function": {
                    "name": tool.name,
                    "description": tool.description,
                    "parameters": tool.schema,
                },
            }
            for tool in self.tools.values()
        ]


class HelloTool(Tool):
    @property
    def name(self) -> str:
        return "hello"

    @property
    def description(self) -> str:
        return "Say hello to someone."

    @property
    def schema(self) -> dict[str, object]:
        return {
            "type": "object",
            "properties": {
                "name": {
                    "type": "string",
                    "description": "The person to greet.",
                },
            },
            "required": ["name"],
        }

    def execute(self, arguments: dict[str, object]) -> ToolResult:
        name = arguments.get("name", "stranger")
        return ToolResult(content=f"Hello, {name}!")

class CalculatorTool(Tool):
    @property
    def name(self) -> str:
        return "calculator"
    
    @property
    def description(self) -> str:
        return "Perform basic arithemtic"

    @property
    def schema(self) -> dict[str, object]:
        return {
            "type": "object",
            "properties": {
                "a": {
                    "type": "number",
                    "description": "The first number.",
                },
                "b": {
                    "type": "number",
                    "description": "The second number.",
                },
                "operation": {
                    "type": "string",
                    "enum": ["add", "subtract", "multiply", "divide"],
                    "description": "The arithemtic operation to perform",
                },
            },
            "required": ["a", "b", "operation"],
        }

    def execute(self, arguments: dict[str, object]) -> ToolResult:
        a = arguments["a"]
        b = arguments["b"]
        operation = arguments["operation"]

        if not isinstance(a, (int, float)):
            raise TypeError("a must be a number")

        if not isinstance(b, (int, float)):
            raise TypeError("b must be a number")

        if not isinstance(operation, str):
            raise TypeError("operation must be a string")

        if operation == "add":
            result = a + b
        elif operation == "subtract":
            result = a - b
        elif operation == "multiply":
            result = a * b
        elif operation == "divide":
            if b == 0:
                raise ValueError("cannot divide by zero")
            result = a / b
        else:
            raise ValueError(f"unknown operation: {operation}")

        return ToolResult(content=str(result))

if __name__ == "__main__":
    registry = ToolRegistry()

    registry.register(HelloTool())
    print(registry.schemas())
    tool = registry.get("hello")

    if tool is not None:
        result = tool.execute({"name": "Joseph"})
        print(result.content)