"""
AgentAI Integration Module for InklyAI
Provides seamless integration between InklyAI signature verification and AgentAI systems.
"""

import asyncio
import logging
from typing import Dict, List, Optional, Union, Any
from dataclasses import dataclass
from datetime import datetime
import json
import hashlib
import base64

from src.models.siamese_network import SignatureVerifier
from src.data.preprocessing import SignaturePreprocessor


@dataclass
class AgentSignature:
    """Represents a signature associated with an AI agent."""
    agent_id: str
    signature_template: str  # Path to signature template
    created_at: datetime
    last_verified: Optional[datetime] = None
    verification_count: int = 0
    is_active: bool = True


@dataclass
class VerificationResult:
    """Result of signature verification."""
    is_verified: bool
    similarity_score: float
    confidence: float
    agent_id: str
    timestamp: datetime
    verification_id: str


class AgentAISignatureManager:
    """
    Manages signature verification for AgentAI systems.
    """
    
    def __init__(self, 
                 model_path: Optional[str] = None,
                 threshold: float = 0.75,
                 device: str = 'auto'):
        """
        Initialize the AgentAI signature manager.
        
        Args:
            model_path: Path to trained model
            threshold: Verification threshold
            device: Device to run inference on
        """
        self.verifier = SignatureVerifier(
            model_path=model_path,
            device=device
        )
        self.threshold = threshold
        self.preprocessor = SignaturePreprocessor()
        
        # Agent signature registry
        self.agent_signatures: Dict[str, AgentSignature] = {}
        
        # Verification history
        self.verification_history: List[VerificationResult] = []
        
        # Configuration
        self.config = {
            'max_verification_attempts': 3,
            'signature_timeout': 300,  # seconds
            'enable_audit_logging': True,
            'encrypt_signatures': True
        }
        
        # Setup logging
        self.logger = logging.getLogger('AgentAISignatureManager')
        self.logger.setLevel(logging.INFO)
        
        if not self.logger.handlers:
            handler = logging.StreamHandler()
            formatter = logging.Formatter(
                '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
            )
            handler.setFormatter(formatter)
            self.logger.addHandler(handler)
    
    def register_agent_signature(self, 
                                agent_id: str, 
                                signature_template_path: str) -> bool:
        """
        Register a signature template for an AI agent.
        
        Args:
            agent_id: Unique identifier for the agent
            signature_template_path: Path to signature template image
            
        Returns:
            True if registration successful, False otherwise
        """
        try:
            # Validate signature template
            if not self._validate_signature_template(signature_template_path):
                self.logger.error(f"Invalid signature template for agent {agent_id}")
                return False
            
            # Create agent signature record
            agent_signature = AgentSignature(
                agent_id=agent_id,
                signature_template=signature_template_path,
                created_at=datetime.now(),
                is_active=True
            )
            
            # Store in registry
            self.agent_signatures[agent_id] = agent_signature
            
            self.logger.info(f"Registered signature for agent {agent_id}")
            return True
            
        except Exception as e:
            self.logger.error(f"Failed to register signature for agent {agent_id}: {e}")
            return False
    
    def verify_agent_signature(self, 
                              agent_id: str, 
                              signature_image: Union[str, bytes],
                              context: Optional[Dict[str, Any]] = None) -> VerificationResult:
        """
        Verify a signature for a specific agent.
        
        Args:
            agent_id: Agent identifier
            signature_image: Signature image (path or bytes)
            context: Additional context for verification
            
        Returns:
            VerificationResult object
        """
        verification_id = self._generate_verification_id()
        
        try:
            # Check if agent is registered
            if agent_id not in self.agent_signatures:
                return VerificationResult(
                    is_verified=False,
                    similarity_score=0.0,
                    confidence=0.0,
                    agent_id=agent_id,
                    timestamp=datetime.now(),
                    verification_id=verification_id
                )
            
            agent_signature = self.agent_signatures[agent_id]
            
            # Check if agent is active
            if not agent_signature.is_active:
                self.logger.warning(f"Agent {agent_id} is not active")
                return VerificationResult(
                    is_verified=False,
                    similarity_score=0.0,
                    confidence=0.0,
                    agent_id=agent_id,
                    timestamp=datetime.now(),
                    verification_id=verification_id
                )
            
            # Perform signature verification
            similarity, is_genuine = self.verifier.verify_signatures(
                signature_image,
                agent_signature.signature_template,
                threshold=self.threshold
            )
            
            # Calculate confidence based on similarity and context
            confidence = self._calculate_confidence(similarity, context)
            
            # Create verification result
            result = VerificationResult(
                is_verified=is_genuine,
                similarity_score=float(similarity),
                confidence=confidence,
                agent_id=agent_id,
                timestamp=datetime.now(),
                verification_id=verification_id
            )
            
            # Update agent signature record
            agent_signature.last_verified = datetime.now()
            agent_signature.verification_count += 1
            
            # Log verification
            if self.config['enable_audit_logging']:
                self._log_verification(result, context)
            
            # Store in history
            self.verification_history.append(result)
            
            return result
            
        except Exception as e:
            self.logger.error(f"Verification failed for agent {agent_id}: {e}")
            return VerificationResult(
                is_verified=False,
                similarity_score=0.0,
                confidence=0.0,
                agent_id=agent_id,
                timestamp=datetime.now(),
                verification_id=verification_id
            )
    
    def batch_verify_agents(self, 
                           verification_requests: List[Dict[str, Any]]) -> List[VerificationResult]:
        """
        Verify signatures for multiple agents in batch.
        
        Args:
            verification_requests: List of verification requests
            
        Returns:
            List of verification results
        """
        results = []
        
        for request in verification_requests:
            agent_id = request['agent_id']
            signature_image = request['signature_image']
            context = request.get('context', {})
            
            result = self.verify_agent_signature(agent_id, signature_image, context)
            results.append(result)
        
        return results
    
    def get_agent_verification_stats(self, agent_id: str) -> Dict[str, Any]:
        """
        Get verification statistics for an agent.
        
        Args:
            agent_id: Agent identifier
            
        Returns:
            Dictionary with verification statistics
        """
        if agent_id not in self.agent_signatures:
            return {}
        
        agent_history = [
            result for result in self.verification_history 
            if result.agent_id == agent_id
        ]
        
        if not agent_history:
            return {
                'total_verifications': 0,
                'successful_verifications': 0,
                'success_rate': 0.0,
                'average_similarity': 0.0,
                'last_verification': None
            }
        
        successful = sum(1 for result in agent_history if result.is_verified)
        total = len(agent_history)
        avg_similarity = sum(result.similarity_score for result in agent_history) / total
        
        return {
            'total_verifications': total,
            'successful_verifications': successful,
            'success_rate': successful / total,
            'average_similarity': avg_similarity,
            'last_verification': agent_history[-1].timestamp.isoformat() if agent_history else None
        }
    
    def deactivate_agent(self, agent_id: str) -> bool:
        """
        Deactivate an agent's signature verification.
        
        Args:
            agent_id: Agent identifier
            
        Returns:
            True if successful, False otherwise
        """
        if agent_id in self.agent_signatures:
            self.agent_signatures[agent_id].is_active = False
            self.logger.info(f"Deactivated agent {agent_id}")
            return True
        return False
    
    def reactivate_agent(self, agent_id: str) -> bool:
        """
        Reactivate an agent's signature verification.
        
        Args:
            agent_id: Agent identifier
            
        Returns:
            True if successful, False otherwise
        """
        if agent_id in self.agent_signatures:
            self.agent_signatures[agent_id].is_active = True
            self.logger.info(f"Reactivated agent {agent_id}")
            return True
        return False
    
    def _validate_signature_template(self, template_path: str) -> bool:
        """Validate signature template file."""
        try:
            # Try to load and preprocess the template
            self.preprocessor.preprocess_image(template_path)
            return True
        except Exception:
            return False
    
    def _calculate_confidence(self, similarity: float, context: Optional[Dict[str, Any]]) -> float:
        """Calculate confidence score based on similarity and context."""
        base_confidence = similarity
        
        # Adjust confidence based on context
        if context:
            # Higher confidence for recent signatures
            if 'time_since_last_verification' in context:
                time_factor = min(1.0, context['time_since_last_verification'] / 3600)  # 1 hour
                base_confidence *= (0.8 + 0.2 * time_factor)
            
            # Lower confidence for suspicious patterns
            if 'suspicious_activity' in context and context['suspicious_activity']:
                base_confidence *= 0.5
        
        return min(1.0, max(0.0, base_confidence))
    
    def _generate_verification_id(self) -> str:
        """Generate unique verification ID."""
        timestamp = datetime.now().isoformat()
        hash_input = f"{timestamp}_{len(self.verification_history)}"
        return hashlib.md5(hash_input.encode()).hexdigest()[:12]
    
    def _log_verification(self, result: VerificationResult, context: Optional[Dict[str, Any]]):
        """Log verification result for audit purposes."""
        log_entry = {
            'verification_id': result.verification_id,
            'agent_id': result.agent_id,
            'is_verified': result.is_verified,
            'similarity_score': result.similarity_score,
            'confidence': result.confidence,
            'timestamp': result.timestamp.isoformat(),
            'context': context or {}
        }
        
        self.logger.info(f"Verification logged: {json.dumps(log_entry)}")


class AgentAISignatureAPI:
    """
    REST API wrapper for AgentAI signature verification.
    """
    
    def __init__(self, signature_manager: AgentAISignatureManager):
        """
        Initialize the API wrapper.
        
        Args:
            signature_manager: AgentAISignatureManager instance
        """
        self.signature_manager = signature_manager
        self.logger = logging.getLogger('AgentAISignatureAPI')
    
    def verify_signature_endpoint(self, request_data: Dict[str, Any]) -> Dict[str, Any]:
        """
        API endpoint for signature verification.
        
        Args:
            request_data: Request data containing agent_id and signature_image
            
        Returns:
            API response dictionary
        """
        try:
            agent_id = request_data['agent_id']
            signature_image = request_data['signature_image']
            context = request_data.get('context', {})
            
            result = self.signature_manager.verify_agent_signature(
                agent_id, signature_image, context
            )
            
            return {
                'success': True,
                'verification_id': result.verification_id,
                'is_verified': result.is_verified,
                'similarity_score': result.similarity_score,
                'confidence': result.confidence,
                'timestamp': result.timestamp.isoformat()
            }
            
        except Exception as e:
            self.logger.error(f"API verification failed: {e}")
            return {
                'success': False,
                'error': str(e),
                'timestamp': datetime.now().isoformat()
            }
    
    def register_agent_endpoint(self, request_data: Dict[str, Any]) -> Dict[str, Any]:
        """
        API endpoint for agent registration.
        
        Args:
            request_data: Request data containing agent_id and signature_template
            
        Returns:
            API response dictionary
        """
        try:
            agent_id = request_data['agent_id']
            signature_template = request_data['signature_template']
            
            success = self.signature_manager.register_agent_signature(
                agent_id, signature_template
            )
            
            return {
                'success': success,
                'agent_id': agent_id,
                'timestamp': datetime.now().isoformat()
            }
            
        except Exception as e:
            self.logger.error(f"API registration failed: {e}")
            return {
                'success': False,
                'error': str(e),
                'timestamp': datetime.now().isoformat()
            }
    
    def get_stats_endpoint(self, agent_id: str) -> Dict[str, Any]:
        """
        API endpoint for agent statistics.
        
        Args:
            agent_id: Agent identifier
            
        Returns:
            API response dictionary
        """
        try:
            stats = self.signature_manager.get_agent_verification_stats(agent_id)
            
            return {
                'success': True,
                'agent_id': agent_id,
                'stats': stats,
                'timestamp': datetime.now().isoformat()
            }
            
        except Exception as e:
            self.logger.error(f"API stats failed: {e}")
            return {
                'success': False,
                'error': str(e),
                'timestamp': datetime.now().isoformat()
            }


# Example usage and integration patterns
def create_agentai_integration_example():
    """Create an example AgentAI integration."""
    
    # Initialize signature manager
    signature_manager = AgentAISignatureManager(
        threshold=0.75,
        device='auto'
    )
    
    # Register some example agents
    signature_manager.register_agent_signature(
        'agent_001', 
        'data/samples/john_doe_1.png'
    )
    
    signature_manager.register_agent_signature(
        'agent_002', 
        'data/samples/jane_smith_1.png'
    )
    
    # Create API wrapper
    api = AgentAISignatureAPI(signature_manager)
    
    return signature_manager, api


if __name__ == "__main__":
    # Example usage
    signature_manager, api = create_agentai_integration_example()
    
    # Test verification
    result = signature_manager.verify_agent_signature(
        'agent_001',
        'data/samples/john_doe_2.png'
    )
    
    print(f"Verification result: {result}")
    
    # Get stats
    stats = signature_manager.get_agent_verification_stats('agent_001')
    print(f"Agent stats: {stats}")