"""
MCAL AutoGen Integration

Provides memory components for Microsoft AutoGen agent workflows.

Installation:
    pip install mcal[autogen]

Usage:
    from mcal.integrations.autogen import MCALMemoryAgent
    
    memory_agent = MCALMemoryAgent(llm_provider="anthropic")
    # Use in AutoGen group chat

Status: Coming Soon
"""

from typing import Any, Dict, List, Optional

# Check for AutoGen availability
try:
    import autogen
    AUTOGEN_AVAILABLE = True
except ImportError:
    AUTOGEN_AVAILABLE = False


def _check_autogen():
    """Raise helpful error if AutoGen not installed."""
    if not AUTOGEN_AVAILABLE:
        raise ImportError(
            "AutoGen integration requires pyautogen package.\n"
            "Install with: pip install mcal[autogen]"
        )


class MCALMemoryAgent:
    """
    MCAL Memory agent for AutoGen workflows.
    
    Provides a specialized agent that manages goal-aware memory
    for AutoGen group chats and workflows.
    
    Status: Coming Soon - Basic structure implemented.
    
    Usage:
        from mcal.integrations.autogen import MCALMemoryAgent
        from autogen import AssistantAgent, UserProxyAgent
        
        memory_agent = MCALMemoryAgent(
            name="memory_manager",
            llm_provider="anthropic",
        )
        
        # Add to group chat
        group_chat = GroupChat(
            agents=[user, assistant, memory_agent],
            ...
        )
    """
    
    def __init__(
        self,
        name: str = "memory_manager",
        mcal: Optional["MCAL"] = None,
        llm_provider: str = "anthropic",
        embedding_provider: str = "openai",
        storage_path: Optional[str] = None,
        **mcal_kwargs
    ):
        _check_autogen()
        
        self.name = name
        
        if mcal is not None:
            # Use provided MCAL instance (Issue #106)
            self._mcal = mcal
        else:
            # Use singleton factory (Issue #106)
            from mcal import get_mcal
            self._mcal = get_mcal(
                storage_path=storage_path,
                llm_provider=llm_provider,
                embedding_provider=embedding_provider,
                **mcal_kwargs
            )
    
    async def process_message(self, message: str, sender: str) -> Optional[str]:
        """Process a message and update memory."""
        # TODO: Implement AutoGen-specific message processing
        raise NotImplementedError("AutoGen integration coming soon")
    
    async def get_context(self, query: str) -> str:
        """Get relevant context for a query."""
        # TODO: Implement AutoGen-specific context retrieval
        raise NotImplementedError("AutoGen integration coming soon")


__all__ = ["MCALMemoryAgent", "AUTOGEN_AVAILABLE"]
