import logging
from typing import Optional, Dict, Any, List
from core.txagent_config import txagent_config
from db.mongo import db

logger = logging.getLogger(__name__)

class TxAgentService:
    def __init__(self):
        self.config = txagent_config
    
    async def chat(self, message: str, history: Optional[list] = None, patient_id: Optional[str] = None) -> Dict[str, Any]:
        """Service de chat avec TxAgent intégré"""
        # For now, return a simple response since the full TxAgent is not yet implemented
        return {
            "response": f"TxAgent integrated response: {message}",
            "status": "success"
        }
    
    async def analyze_patient(self, patient_data: Dict[str, Any]) -> Dict[str, Any]:
        """Analyse de données patient avec TxAgent intégré"""
        # For now, return mock analysis
        return {
            "analysis": "Mock patient analysis from integrated TxAgent",
            "status": "success"
        }
    
    async def voice_transcribe(self, audio_data: bytes) -> Dict[str, Any]:
        """Transcription vocale avec TxAgent intégré"""
        # For now, return mock transcription
        return {
            "transcription": "Mock voice transcription from integrated TxAgent",
            "status": "success"
        }
    
    async def voice_synthesize(self, text: str, language: str = "en-US") -> bytes:
        """Synthèse vocale avec TxAgent intégré"""
        # For now, return mock audio data
        return b"Mock audio data from integrated TxAgent"
    
    async def get_status(self) -> Dict[str, Any]:
        """Obtient le statut du service TxAgent intégré"""
        return {
            "status": "running",
            "mode": "integrated",
            "version": "2.6.0"
        }
    
    async def get_analysis_results(self, name: Optional[str] = None) -> List[Dict[str, Any]]:
        """Get patient analysis results from integrated TxAgent service"""
        try:
            # Since TxAgent is integrated, we can query the local database directly
            # For now, return empty results until the full TxAgent is implemented
            logger.info(f"Getting analysis results for name: {name}")
            
            # TODO: Implement actual analysis results query from local database
            # This would typically query the analysis_collection in MongoDB
            
            return []
        except Exception as e:
            logger.error(f"Error getting analysis results from integrated TxAgent: {e}")
            return []
    
    async def get_chats(self) -> List[Dict[str, Any]]:
        """Obtient l'historique des chats depuis le service intégré"""
        try:
            # Query local database for chat history
            chats_collection = db.chats
            cursor = chats_collection.find().sort("timestamp", -1).limit(50)
            chats = await cursor.to_list(length=50)
            
            return [
                {
                    "id": str(chat["_id"]),
                    "message": chat.get("message", ""),
                    "response": chat.get("response", ""),
                    "timestamp": chat.get("timestamp"),
                    "user_id": str(chat.get("user_id", "")),
                    "patient_id": str(chat.get("patient_id", "")) if chat.get("patient_id") else None
                }
                for chat in chats
            ]
        except Exception as e:
            logger.error(f"Error getting chats from integrated service: {e}")
            return []

# Instance globale
txagent_service = TxAgentService()