# brain/cortex.py
import os
from typing import Any, Dict, List, Optional

from anthropic import Anthropic


class BaseCortex:
    """
    Base class for high-level cognitive processing.
    Handles message understanding, reasoning, and executive functions.
    """

    def __init__(self, config: Dict[str, Any]):
        """
        Initialize the cortex component.

        Args:
            config: Configuration parameters
        """
        self.config = config
        self.client = Anthropic(api_key=os.getenv("POLVO_CLAUDE_API_KEY"))
        self.planner = TaskPlanner()
        self.reasoner = Reasoner()
        self.last_plan = None
        self.last_reasoning = None

    def process(
        self,
        message: str,
        context: Optional[List[Dict[str, Any]]] = None,
        tools: Optional[List[Dict[str, Any]]] = None,
    ) -> Dict[str, Any]:
        """
        Process input through high-level cognitive functions.

        Args:
            message: Input message to process
            context: Relevant context from memory
            tools: Available tools/tentacles

        Returns:
            Dict containing cognitive processing results
        """
        # Build messages for processing
        messages = []
        messages.append({"role": "user", "content": message})

        # Apply reasoning to understand task
        self.last_reasoning = self.reasoner.analyze(messages=messages, tools=tools)

        # Create execution plan if needed
        if self.last_reasoning.get("requires_planning"):
            self.last_plan = self.planner.create_plan(
                goal=message, reasoning=self.last_reasoning, tools=tools
            )

        # Process with language model
        response = self.client.messages.create(
            model=self.config.model,
            max_tokens=self.config.max_tokens,
            temperature=self.config.temperature,
            messages=messages,
            tools=tools,
        )

        # Handle tool usage decisions
        if response.stop_reason == "tool_use":
            tool_use = next(block for block in response.content if block.type == "tool_use")

            return {
                "status": "tool_use",
                "tool_use": {
                    "tool_name": tool_use.name,
                    "tool_input": tool_use.input,
                    "tool_id": tool_use.id,
                },
                "reasoning": self.last_reasoning,
                "plan": self.last_plan,
            }

        # Return standard cognitive results
        return {
            "status": "success",
            "content": response.content,
            "reasoning": self.last_reasoning,
            "plan": self.last_plan,
        }

    def process_tool_result(self, tool_result: Dict[str, Any]) -> Dict[str, Any]:
        """
        Integrate tool results into cognitive processing.

        Args:
            tool_result: Results from tool execution

        Returns:
            Dict containing updated cognitive state
        """
        # Update reasoning with new information
        self.last_reasoning["tool_results"] = tool_result

        # Adapt plan based on results
        if self.last_plan:
            self.last_plan = self.planner.update_plan(plan=self.last_plan, tool_result=tool_result)

        # Process updated understanding
        response = self.client.messages.create(
            model=self.config.model,
            max_tokens=self.config.max_tokens,
            temperature=self.config.temperature,
            messages=[
                {"role": "system", "content": self.config.system_prompt},
                {
                    "role": "assistant",
                    "content": [{"type": "tool_result", "content": str(tool_result)}],
                },
            ],
        )

        return {
            "status": "success",
            "content": response.content,
            "reasoning": self.last_reasoning,
            "plan": self.last_plan,
        }

    def handle_error(self, error: str):
        """
        Handle errors in cognitive processing.

        Args:
            error: Error description
        """
        # Update reasoning with error information
        self.last_reasoning["errors"].append(error)

        # Adapt plan to handle error
        if self.last_plan:
            self.last_plan = self.planner.handle_error(plan=self.last_plan, error=error)

    def cleanup(self):
        """Clean up cortex resources."""
        self.planner.cleanup()
        self.reasoner.cleanup()


class TaskPlanner:
    """Executive function for planning and sequencing tasks."""

    def create_plan(
        self, goal: str, reasoning: Dict[str, Any], tools: Optional[List[Dict[str, Any]]] = None
    ) -> Dict[str, Any]:
        """Create an execution plan for a goal."""
        # Implementation coming soon
        pass

    def update_plan(self, plan: Dict[str, Any], tool_result: Dict[str, Any]) -> Dict[str, Any]:
        """Update plan based on new information."""
        # Implementation coming soon
        pass

    def handle_error(self, plan: Dict[str, Any], error: str) -> Dict[str, Any]:
        """Adapt plan to handle errors."""
        # Implementation coming soon
        pass

    def cleanup(self):
        """Clean up planner resources."""
        pass


class Reasoner:
    """Analytical processing for understanding and decision making."""

    def analyze(
        self, messages: List[Dict[str, Any]], tools: Optional[List[Dict[str, Any]]] = None
    ) -> Dict[str, Any]:
        """Analyze inputs and generate reasoning."""
        # Implementation coming soon
        return {"requires_planning": False, "tools_needed": [], "errors": []}

    def cleanup(self):
        """Clean up reasoner resources."""
        pass
