"""Base tool abstraction for all tools in the Hermes platform."""

from __future__ import annotations

import logging
from abc import ABC, abstractmethod
from typing import Any

from pydantic import BaseModel, Field

logger = logging.getLogger(__name__)


class ToolSchema(BaseModel):
    """Schema definition for a tool."""

    name: str
    description: str
    parameters: dict[str, Any] = Field(default_factory=dict)
    required: list[str] = Field(default_factory=list)
    category: str = "general"
    tags: list[str] = Field(default_factory=list)


class BaseTool(ABC):
    """Abstract base class for all tools."""

    def __init__(self) -> None:
        self._schema: ToolSchema | None = None

    @property
    def name(self) -> str:
        """Tool name."""
        return self.schema.name

    @property
    def schema(self) -> ToolSchema:
        """Get tool schema."""
        if self._schema is None:
            self._schema = self._define_schema()
        return self._schema

    @abstractmethod
    def _define_schema(self) -> ToolSchema:
        """Define the tool's schema."""

    @abstractmethod
    async def execute(self, **kwargs: Any) -> Any:
        """Execute the tool with given arguments."""

    def validate_arguments(self, arguments: dict[str, Any]) -> dict[str, Any]:
        """Validate tool arguments against schema."""
        schema = self.schema
        validated = {}

        for param_name, param_schema in schema.parameters.items():
            if param_name in arguments:
                value = arguments[param_name]
                param_type = param_schema.get("type", "string")

                if param_type == "string" and not isinstance(value, str):
                    value = str(value)
                elif param_type == "integer" and not isinstance(value, int):
                    value = int(value)
                elif param_type == "number" and not isinstance(value, (int, float)):
                    value = float(value)
                elif param_type == "boolean" and not isinstance(value, bool):
                    value = bool(value)

                validated[param_name] = value

        for required_param in schema.required:
            if required_param not in validated and required_param not in arguments:
                raise ValueError(f"Missing required parameter: {required_param}")

        return validated

    def to_mcp_schema(self) -> dict[str, Any]:
        """Convert to MCP-compatible schema."""
        schema = self.schema
        properties = {}
        for param_name, param_schema in schema.parameters.items():
            if isinstance(param_schema, dict):
                properties[param_name] = {
                    "type": param_schema.get("type", "string"),
                    "description": param_schema.get("description", ""),
                }
            else:
                properties[param_name] = {
                    "type": str(param_schema) if param_schema else "string",
                    "description": "",
                }

        return {
            "name": schema.name,
            "description": schema.description,
            "inputSchema": {
                "type": "object",
                "properties": properties,
                "required": schema.required,
            },
        }