Deploy production_logging.py to backend/ directory

backend/production_logging.py

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+"""
+Production Logging Infrastructure
+Structured logging with medical-specific fields and compliance features
+
+Features:
+- JSON-structured logging for machine parsing
+- Medical-specific log fields (PHI anonymization, confidence scores)
+- Log levels with appropriate categorization
+- Security event logging
+- Compliance-ready log retention
+- Centralized log aggregation support
+
+Author: MiniMax Agent
+Date: 2025-10-29
+Version: 1.0.0
+"""
+
+import logging
+import json
+import hashlib
+from typing import Dict, Any, Optional
+from datetime import datetime
+from enum import Enum
+import traceback
+
+
+class LogLevel(Enum):
+    """Standard log levels"""
+    DEBUG = "DEBUG"
+    INFO = "INFO"
+    WARNING = "WARNING"
+    ERROR = "ERROR"
+    CRITICAL = "CRITICAL"
+
+
+class EventCategory(Enum):
+    """Event categories for medical AI platform"""
+    AUTHENTICATION = "authentication"
+    AUTHORIZATION = "authorization"
+    PHI_ACCESS = "phi_access"
+    MODEL_INFERENCE = "model_inference"
+    DATA_PROCESSING = "data_processing"
+    SYSTEM_EVENT = "system_event"
+    SECURITY_EVENT = "security_event"
+    COMPLIANCE_EVENT = "compliance_event"
+    PERFORMANCE_EVENT = "performance_event"
+    ERROR_EVENT = "error_event"
+
+
+class MedicalLogger:
+    """
+    Medical-grade structured logger with compliance features
+    Implements HIPAA-compliant logging with PHI protection
+    """
+    
+    def __init__(
+        self,
+        service_name: str,
+        environment: str = "production"
+    ):
+        self.service_name = service_name
+        self.environment = environment
+        self.logger = logging.getLogger(service_name)
+        self.logger.setLevel(logging.DEBUG)
+        
+        # Setup JSON formatter
+        self._setup_json_handler()
+        
+        # Track logging statistics
+        self.log_counts = {level.value: 0 for level in LogLevel}
+    
+    def _setup_json_handler(self):
+        """Setup JSON-formatted log handler"""
+        handler = logging.StreamHandler()
+        handler.setLevel(logging.DEBUG)
+        
+        # Custom formatter for JSON output
+        formatter = logging.Formatter(
+            '{"timestamp": "%(asctime)s", "level": "%(levelname)s", '
+            '"service": "%(name)s", "message": "%(message)s"}'
+        )
+        handler.setFormatter(formatter)
+        
+        self.logger.addHandler(handler)
+    
+    def _anonymize_phi(self, data: Any) -> Any:
+        """Anonymize PHI in log data"""
+        if isinstance(data, dict):
+            anonymized = {}
+            phi_fields = ["patient_id", "patient_name", "ssn", "mrn", "email", "phone"]
+            
+            for key, value in data.items():
+                if any(phi_field in key.lower() for phi_field in phi_fields):
+                    # Hash PHI fields
+                    if isinstance(value, str):
+                        anonymized[key] = hashlib.sha256(value.encode()).hexdigest()[:16]
+                    else:
+                        anonymized[key] = "[REDACTED]"
+                elif isinstance(value, (dict, list)):
+                    anonymized[key] = self._anonymize_phi(value)
+                else:
+                    anonymized[key] = value
+            
+            return anonymized
+        
+        elif isinstance(data, list):
+            return [self._anonymize_phi(item) for item in data]
+        
+        return data
+    
+    def _create_log_entry(
+        self,
+        level: LogLevel,
+        message: str,
+        category: EventCategory,
+        details: Optional[Dict[str, Any]] = None,
+        user_id: Optional[str] = None,
+        document_id: Optional[str] = None,
+        model_id: Optional[str] = None,
+        confidence: Optional[float] = None,
+        anonymize: bool = True
+    ) -> Dict[str, Any]:
+        """Create structured log entry"""
+        
+        log_entry = {
+            "timestamp": datetime.utcnow().isoformat(),
+            "level": level.value,
+            "service": self.service_name,
+            "environment": self.environment,
+            "category": category.value,
+            "message": message
+        }
+        
+        # Add optional fields
+        if user_id:
+            log_entry["user_id"] = user_id
+        
+        if document_id:
+            log_entry["document_id"] = document_id
+        
+        if model_id:
+            log_entry["model_id"] = model_id
+        
+        if confidence is not None:
+            log_entry["confidence"] = confidence
+        
+        if details:
+            # Anonymize PHI if requested
+            if anonymize:
+                details = self._anonymize_phi(details)
+            log_entry["details"] = details
+        
+        return log_entry
+    
+    def log(
+        self,
+        level: LogLevel,
+        message: str,
+        category: EventCategory = EventCategory.SYSTEM_EVENT,
+        **kwargs
+    ):
+        """Generic log method"""
+        log_entry = self._create_log_entry(level, message, category, **kwargs)
+        
+        # Increment counter
+        self.log_counts[level.value] += 1
+        
+        # Log at appropriate level
+        if level == LogLevel.DEBUG:
+            self.logger.debug(json.dumps(log_entry))
+        elif level == LogLevel.INFO:
+            self.logger.info(json.dumps(log_entry))
+        elif level == LogLevel.WARNING:
+            self.logger.warning(json.dumps(log_entry))
+        elif level == LogLevel.ERROR:
+            self.logger.error(json.dumps(log_entry))
+        elif level == LogLevel.CRITICAL:
+            self.logger.critical(json.dumps(log_entry))
+    
+    def info(self, message: str, category: EventCategory = EventCategory.SYSTEM_EVENT, **kwargs):
+        """Log info message"""
+        self.log(LogLevel.INFO, message, category, **kwargs)
+    
+    def warning(self, message: str, category: EventCategory = EventCategory.SYSTEM_EVENT, **kwargs):
+        """Log warning message"""
+        self.log(LogLevel.WARNING, message, category, **kwargs)
+    
+    def error(self, message: str, category: EventCategory = EventCategory.ERROR_EVENT, **kwargs):
+        """Log error message"""
+        self.log(LogLevel.ERROR, message, category, **kwargs)
+    
+    def critical(self, message: str, category: EventCategory = EventCategory.ERROR_EVENT, **kwargs):
+        """Log critical message"""
+        self.log(LogLevel.CRITICAL, message, category, **kwargs)
+    
+    def debug(self, message: str, category: EventCategory = EventCategory.SYSTEM_EVENT, **kwargs):
+        """Log debug message"""
+        self.log(LogLevel.DEBUG, message, category, **kwargs)
+    
+    def log_authentication(
+        self,
+        user_id: str,
+        success: bool,
+        ip_address: str,
+        details: Optional[Dict[str, Any]] = None
+    ):
+        """Log authentication event"""
+        message = f"Authentication {'successful' if success else 'failed'} for user {user_id}"
+        
+        self.log(
+            LogLevel.INFO if success else LogLevel.WARNING,
+            message,
+            EventCategory.AUTHENTICATION,
+            user_id=user_id,
+            details={
+                "ip_address": ip_address,
+                "success": success,
+                **(details or {})
+            }
+        )
+    
+    def log_phi_access(
+        self,
+        user_id: str,
+        document_id: str,
+        action: str,
+        ip_address: str,
+        details: Optional[Dict[str, Any]] = None
+    ):
+        """Log PHI access event (HIPAA requirement)"""
+        message = f"PHI access: {action} on document {document_id} by user {user_id}"
+        
+        self.log(
+            LogLevel.INFO,
+            message,
+            EventCategory.PHI_ACCESS,
+            user_id=user_id,
+            document_id=document_id,
+            details={
+                "action": action,
+                "ip_address": ip_address,
+                **(details or {})
+            },
+            anonymize=False  # PHI access logs must be complete
+        )
+    
+    def log_model_inference(
+        self,
+        model_id: str,
+        document_id: str,
+        confidence: float,
+        duration_seconds: float,
+        success: bool,
+        details: Optional[Dict[str, Any]] = None
+    ):
+        """Log model inference event"""
+        message = f"Model inference: {model_id} on {document_id} ({'success' if success else 'failed'})"
+        
+        self.log(
+            LogLevel.INFO,
+            message,
+            EventCategory.MODEL_INFERENCE,
+            document_id=document_id,
+            model_id=model_id,
+            confidence=confidence,
+            details={
+                "duration_seconds": duration_seconds,
+                "success": success,
+                **(details or {})
+            }
+        )
+    
+    def log_security_event(
+        self,
+        event_type: str,
+        severity: str,
+        user_id: Optional[str] = None,
+        ip_address: Optional[str] = None,
+        details: Optional[Dict[str, Any]] = None
+    ):
+        """Log security event"""
+        message = f"Security event: {event_type} (severity: {severity})"
+        
+        level = LogLevel.CRITICAL if severity == "high" else LogLevel.WARNING
+        
+        self.log(
+            level,
+            message,
+            EventCategory.SECURITY_EVENT,
+            user_id=user_id,
+            details={
+                "event_type": event_type,
+                "severity": severity,
+                "ip_address": ip_address,
+                **(details or {})
+            }
+        )
+    
+    def log_exception(
+        self,
+        exception: Exception,
+        context: str,
+        user_id: Optional[str] = None,
+        document_id: Optional[str] = None
+    ):
+        """Log exception with stack trace"""
+        message = f"Exception in {context}: {str(exception)}"
+        
+        self.log(
+            LogLevel.ERROR,
+            message,
+            EventCategory.ERROR_EVENT,
+            user_id=user_id,
+            document_id=document_id,
+            details={
+                "exception_type": type(exception).__name__,
+                "exception_message": str(exception),
+                "stack_trace": traceback.format_exc(),
+                "context": context
+            }
+        )
+    
+    def get_log_statistics(self) -> Dict[str, int]:
+        """Get logging statistics"""
+        return dict(self.log_counts)
+
+
+# Global logger instance
+_medical_logger = None
+
+
+def get_medical_logger(service_name: str = "medical_ai_platform") -> MedicalLogger:
+    """Get singleton medical logger instance"""
+    global _medical_logger
+    if _medical_logger is None:
+        _medical_logger = MedicalLogger(service_name)
+    return _medical_logger