Delete user_manager.py

user_manager.py

@@ -1,62 +0,0 @@
-import logging
-logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
-logger = logging.getLogger(__name__)
-
-try:
-    import json
-    from voice_processor import VoiceProcessor
-except ImportError as e:
-    logger.error(f"Failed to import required libraries: {str(e)}. Please run 'pip install -r requirements.txt'.")
-    raise
-
-class UserManager:
-    def __init__(self, cipher):
-        self.cipher = cipher
-        self.voice_processor = VoiceProcessor(cipher)
-        self.interactions = {}  # Mock storage (replace with Salesforce in production)
-
-    def process_voice(self, audio_path, user_id):
-        try:
-            # Process voice input
-            result = self.voice_processor.analyze_voice(audio_path)
-            
-            if "error" in result:
-                return result
-                
-            # Mock Salesforce user profile creation
-            if user_id:
-                self._create_user_profile(user_id)
-                
-            return result
-        except Exception as e:
-            logger.error(f"Error in user voice processing: {str(e)}")
-            return {"error": str(e)}
-
-    def _create_user_profile(self, user_id):
-        # Mock Salesforce API call
-        self.interactions[user_id] = {
-            "profile": {"user_id": user_id, "consent_given": True},
-            "history": []
-        }
-
-    def store_interaction(self, user_id, encrypted_transcription, response):
-        try:
-            # Mock Salesforce interaction storage
-            if user_id and user_id in self.interactions:
-                self.interactions[user_id]["history"].append({
-                    "transcription": encrypted_transcription,
-                    "response": response,
-                    "timestamp": "2025-07-15T15:45:00"
-                })
-            # Mock report generation
-            self._generate_report()
-        except Exception as e:
-            logger.error(f"Error storing interaction: {str(e)}")
-
-    def _generate_report(self):
-        # Mock report generation
-        report = {
-            "total_assessments": len(self.interactions),
-            "common_issues": {"respiratory": 0, "mental_health": 0}
-        }
-        logger.info(f"Generated report: {json.dumps(report)}")