# src/safety/escalation_ladder.py

from abc import ABC, abstractmethod
from dataclasses import dataclass
from enum import Enum
from typing import Any, Optional
import logging

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)


class RiskLevel(Enum):
    LOW = "LOW"
    MEDIUM = "MEDIUM"
    HIGH = "HIGH"
    CRITICAL = "CRITICAL"


class ExecutionStatus(Enum):
    SUCCESS = "SUCCESS"
    WAITING_FOR_APPROVAL = "WAITING_FOR_APPROVAL"
    REJECTED = "REJECTED"
    ERROR = "ERROR"


@dataclass
class ExecutionResult:
    status: ExecutionStatus
    result: Optional[Any] = None
    error_message: Optional[str] = None
    decision_id: Optional[str] = None


class RiskPolicy(ABC):
    @abstractmethod
    def get_level(self, tool_name: str) -> RiskLevel:
        pass


class Tool(ABC):
    @abstractmethod
    def run(self, parameters: dict) -> Any:
        pass


class ApprovalService(ABC):
    @abstractmethod
    def create_approval_request(self, tool_name: str, parameters: dict) -> str:
        pass

    @abstractmethod
    def notify_manager(self, decision_id: str) -> None:
        pass


class EscalationLadder:
    def __init__(
        self,
        risk_policy: RiskPolicy,
        tool: Tool,
        approval_service: ApprovalService
    ):
        self._risk_policy = risk_policy
        self._tool = tool
        self._approval_service = approval_service

    def execute_tool(self, tool_name: str, parameters: dict) -> ExecutionResult:
        """Execute a tool with appropriate risk-based escalation."""
        if not tool_name or not isinstance(tool_name, str):
            logger.error("Invalid tool_name provided")
            return ExecutionResult(
                status=ExecutionStatus.ERROR,
                error_message="Invalid tool_name: must be a non-empty string"
            )

        if not isinstance(parameters, dict):
            logger.error("Invalid parameters provided")
            return ExecutionResult(
                status=ExecutionStatus.ERROR,
                error_message="Invalid parameters: must be a dictionary"
            )

        try:
            risk_level = self._risk_policy.get_level(tool_name)
        except Exception as e:
            logger.exception("Failed to assess risk level")
            return ExecutionResult(
                status=ExecutionStatus.ERROR,
                error_message=f"Risk assessment failed: {str(e)}"
            )

        if risk_level == RiskLevel.CRITICAL:
            logger.warning(f"CRITICAL risk tool '{tool_name}' blocked")
            return ExecutionResult(
                status=ExecutionStatus.REJECTED,
                error_message="Critical risk tools are not permitted"
            )

        if risk_level == RiskLevel.HIGH:
            return self._handle_high_risk(tool_name, parameters)

        if risk_level == RiskLevel.MEDIUM:
            logger.info(f"MEDIUM risk tool '{tool_name}' - logging for audit")
            return self._execute_with_logging(tool_name, parameters)

        # LOW risk - execute immediately
        return self._execute_tool(parameters)

    def _handle_high_risk(self, tool_name: str, parameters: dict) -> ExecutionResult:
        """Handle high-risk tool execution with approval workflow."""
        try:
            decision_id = self._approval_service.create_approval_request(
                tool_name, parameters
            )
            self._approval_service.notify_manager(decision_id)
            logger.info(f"Approval request created: {decision_id}")
            return ExecutionResult(
                status=ExecutionStatus.WAITING_FOR_APPROVAL,
                decision_id=decision_id
            )
        except Exception as e:
            logger.exception("Failed to create approval request")
            return ExecutionResult(
                status=ExecutionStatus.ERROR,
                error_message=f"Approval workflow failed: {str(e)}"
            )

    def _execute_with_logging(self, tool_name: str, parameters: dict) -> ExecutionResult:
        """Execute tool with enhanced audit logging."""
        logger.info(f"Executing medium-risk tool: {tool_name}")
        return self._execute_tool(parameters)

    def _execute_tool(self, parameters: dict) -> ExecutionResult:
        """Execute the tool and return result."""
        try:
            result = self._tool.run(parameters)
            return ExecutionResult(status=ExecutionStatus.SUCCESS, result=result)
        except Exception as e:
            logger.exception("Tool execution failed")
            return ExecutionResult(
                status=ExecutionStatus.ERROR,
                error_message=f"Execution failed: {str(e)}"
            )