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| 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() | |