backend/integrations/atom_zoom_integration.py

"""
ATOM Zoom Integration
Advanced Zoom platform integration with enterprise features and automation
"""

import asyncio
from collections import Counter, defaultdict
from dataclasses import asdict, dataclass
from datetime import datetime, timedelta, timezone
from enum import Enum
import hashlib
import json
import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import aiohttp
import httpx
import numpy as np
import pandas as pd

# Import existing ATOM services
try:
    from ai_enhanced_service import (
        AIModelType,
        AIRequest,
        AIResponse,
        AIServiceType,
        AITaskType,
        ai_enhanced_service,
    )
    from atom_ai_integration import atom_ai_integration
    from atom_discord_integration import atom_discord_integration
    from atom_enterprise_security_service import atom_enterprise_security_service
    from atom_enterprise_unified_service import atom_enterprise_unified_service
    from atom_google_chat_integration import atom_google_chat_integration
    from atom_ingestion_pipeline import AtomIngestionPipeline
    from atom_memory_service import AtomMemoryService
    from atom_search_service import AtomSearchService
    from atom_slack_integration import atom_slack_integration
    from atom_teams_integration import atom_teams_integration
    from atom_telegram_integration import atom_telegram_integration
    from atom_whatsapp_integration import atom_whatsapp_integration
    from atom_workflow_automation_service import (
        AutomationPriority,
        AutomationStatus,
        atom_workflow_automation_service,
    )
    from atom_workflow_service import AtomWorkflowService
    from atom_zoom_integration import atom_zoom_integration

    from integrations.atom_ingestion_pipeline import RecordType, atom_ingestion_pipeline
except ImportError as e:
    logging.warning(f"Enterprise services not available: {e}")

# Configure logging
logger = logging.getLogger(__name__)

class ZoomEventType(Enum):
    """Zoom event types"""
    MEETING_STARTED = "meeting.started"
    MEETING_ENDED = "meeting.ended"
    MEETING_PARTICIPANT_JOINED = "meeting.participant_joined"
    MEETING_PARTICIPANT_LEFT = "meeting.participant_left"
    RECORDING_COMPLETED = "recording.completed"
    WEBINAR_STARTED = "webinar.started"
    WEBINAR_ENDED = "webinar.ended"
    USER_CREATED = "user.created"
    USER_UPDATED = "user.updated"
    USER_DELETED = "user.deleted"

class ZoomMeetingType(Enum):
    """Zoom meeting types"""
    INSTANT = "instant"
    SCHEDULED = "scheduled"
    RECURRING = "recurring"
    RECURRING_WITH_FIXED_TIME = "recurring_with_fixed_time"

class ZoomUserType(Enum):
    """Zoom user types"""
    BASIC = "basic"
    LICENSED = "licensed"
    ON_PREM = "on_prem"
    OFFLINE_ON_PREM = "offline_on_prem"

class ZoomCommandType(Enum):
    """Zoom command types"""
    START = "start"
    SCHEDULE = "schedule"
    JOIN = "join"
    LEAVE = "leave"
    RECORD = "record"
    SHARE = "share"
    CHAT = "chat"
    STATUS = "status"
    ANALYTICS = "analytics"
    AUTOMATE = "automate"
    SECURITY = "security"
    COMPLIANCE = "compliance"

@dataclass
class ZoomUser:
    """Zoom user data model"""
    user_id: str
    email: str
    first_name: str
    last_name: str
    display_name: str
    user_type: ZoomUserType
    role: str
    timezone: str
    is_active: bool
    permissions: List[str]
    security_level: str
    created_at: datetime
    last_active: datetime
    metadata: Dict[str, Any]

@dataclass
class ZoomMeeting:
    """Zoom meeting data model"""
    meeting_id: str
    topic: str
    meeting_type: ZoomMeetingType
    host_id: str
    start_time: datetime
    duration: int
    timezone: str
    agenda: str
    participants: List[str]
    is_recorded: bool
    password: Optional[str]
    waiting_room: bool
    security_level: str
    created_at: datetime
    status: str
    metadata: Dict[str, Any]

@dataclass
class ZoomEvent:
    """Zoom event data model"""
    event_id: str
    event_type: ZoomEventType
    meeting_id: Optional[str]
    user_id: Optional[str]
    timestamp: datetime
    data: Dict[str, Any]
    security_flags: Dict[str, Any]
    compliance_flags: Dict[str, Any]
    metadata: Dict[str, Any]

class AtomZoomIntegration:
    """Advanced Zoom integration with enterprise features"""
    
    def __init__(self, config: Dict[str, Any]):
        self.config = config
        self.db = config.get('database')
        self.cache = config.get('cache')
        
        # Zoom configuration
        self.zoom_config = {
            'api_key': config.get('api_key') or os.getenv('ZOOM_API_KEY'),
            'api_secret': config.get('api_secret') or os.getenv('ZOOM_API_SECRET'),
            'webhook_secret': config.get('webhook_secret') or os.getenv('ZOOM_WEBHOOK_SECRET'),
            'webhook_url': config.get('webhook_url') or os.getenv('ZOOM_WEBHOOK_URL'),
            'admin_emails': config.get('admin_emails', []),
            # 'account_id': config.get('account_id') or os.getenv('ZOOM_ACCOUNT_ID'), # Deprecated: Using User OAuth
            'client_id': config.get('client_id') or os.getenv('ZOOM_CLIENT_ID'),
            'client_secret': config.get('client_secret') or os.getenv('ZOOM_CLIENT_SECRET'),
            'redirect_uri': config.get('redirect_uri') or os.getenv('ZOOM_REDIRECT_URI'),
            'max_participants': config.get('max_participants', 1000),
            'enable_enterprise_features': config.get('enable_enterprise_features', True),
            'security_level': config.get('security_level', 'standard'),
            'compliance_standards': config.get('compliance_standards', ['SOC2', 'ISO27001', 'HIPAA']),
            'api_base_url': config.get('api_base_url', 'https://api.zoom.us/v2'),
            'oauth_token_url': config.get('oauth_token_url', 'https://zoom.us/oauth/token')
        }
        
        # Integration state
        self.is_initialized = False
        self.active_users: Dict[str, ZoomUser] = {}
        self.active_meetings: Dict[str, ZoomMeeting] = {}
        self.meeting_history: Dict[str, List[ZoomEvent]] = {}
        self.webhook_handlers: Dict[str, Callable] = {}
        self.command_handlers: Dict[str, Callable] = {}
        
        # Enterprise integration (use safe defaults if optional services didn't import)
        self.enterprise_security = config.get('security_service') or globals().get('atom_enterprise_security_service')
        self.enterprise_automation = config.get('automation_service') or globals().get('atom_workflow_automation_service')
        self.ai_service = config.get('ai_service') or globals().get('ai_enhanced_service')
        
        # Analytics and monitoring
        self.analytics_metrics = {
            'total_meetings': 0,
            'total_participants': 0,
            'total_users': 0,
            'total_recording_hours': 0,
            'meetings_today': 0,
            'meetings_this_week': 0,
            'meetings_this_month': 0,
            'commands_executed': 0,
            'automations_triggered': 0,
            'security_incidents': 0,
            'compliance_checks': 0,
            'ai_requests': 0,
            'meeting_types': defaultdict(int),
            'user_types': defaultdict(int),
            'active_meetings': 0,
            'active_users': 0
        }
        
        # Security and compliance
        self.security_policies = {}
        self.compliance_rules = {}
        self.automation_triggers = {}
        self.meeting_filters = []
        
        # Performance metrics
        self.performance_metrics = {
            'meeting_start_time': 0.0,
            'participant_join_time': 0.0,
            'command_response_time': 0.0,
            'ai_processing_time': 0.0,
            'security_check_time': 0.0,
            'compliance_check_time': 0.0,
            'automation_execution_time': 0.0,
            'webhook_response_time': 0.0
        }
        
        # HTTP session for API calls
        self.http_session = httpx.AsyncClient(timeout=30.0)
        self.oauth_token = None
        self.oauth_token_expires = None
        
        logger.info("Zoom Integration initialized")
    
    async def initialize(self) -> bool:
        """Initialize Zoom integration"""
        try:
            if not (self.zoom_config['api_key'] and self.zoom_config['api_secret']) and \
               not (self.zoom_config['client_id'] and self.zoom_config['client_secret']):
                logger.error("Zoom API credentials not provided")
                return False
            
            # Test API connection
            await self._test_api_connection()
            
            # Setup webhook
            if self.zoom_config['webhook_url']:
                await self._setup_webhook()
            
            # Setup webhook handlers
            await self._setup_webhook_handlers()
            
            # Setup enterprise features
            if self.zoom_config['enable_enterprise_features']:
                await self._setup_enterprise_features()
            
            # Setup security and compliance
            await self._setup_security_and_compliance()
            
            # Setup automation
            await self._setup_automation()
            
            # Setup monitoring
            await self._setup_monitoring()
            
            # Load existing data
            await self._load_existing_data()
            
            self.is_initialized = True
            logger.info("Zoom Integration initialized successfully")
            return True
            
        except Exception as e:
            logger.error(f"Error initializing Zoom integration: {e}")
            return False
    
    async def get_intelligent_workspaces(self, user_id: str) -> List[Dict[str, Any]]:
        """Get intelligent workspaces for user"""
        try:
            workspaces = []
            
            # Get user's meetings as workspaces
            user_meetings = [m for m in self.active_meetings.values() if m.host_id == user_id]
            
            for meeting in user_meetings:
                workspace = {
                    'id': meeting.meeting_id,
                    'name': meeting.topic,
                    'type': 'zoom_meeting',
                    'participant_count': len(meeting.participants),
                    'description': meeting.agenda,
                    'start_time': meeting.start_time.isoformat(),
                    'duration': meeting.duration,
                    'status': meeting.status,
                    'security_level': meeting.security_level,
                    'is_recorded': meeting.is_recorded,
                    'is_active': meeting.status == 'started',
                    'permissions': {
                        'can_join': user_id in meeting.participants or user_id == meeting.host_id,
                        'can_start': user_id == meeting.host_id,
                        'can_record': user_id == meeting.host_id,
                        'can_manage': user_id == meeting.host_id
                    },
                    'platform': 'zoom'
                }
                workspaces.append(workspace)
            
            # Sort by start time
            workspaces.sort(key=lambda x: x['start_time'], reverse=True)
            
            return workspaces
            
        except Exception as e:
            logger.error(f"Error getting intelligent workspaces: {e}")
            return []
    
    async def get_intelligent_channels(self, workspace_id: str, user_id: str) -> List[Dict[str, Any]]:
        """Get intelligent channels for workspace"""
        try:
            channels = []
            meeting = self.active_meetings.get(workspace_id)
            
            if meeting:
                # For Zoom, workspace is meeting itself
                channel = {
                    'id': meeting.meeting_id,
                    'name': meeting.topic,
                    'type': 'zoom_meeting',
                    'participant_count': len(meeting.participants),
                    'description': meeting.agenda,
                    'start_time': meeting.start_time.isoformat(),
                    'duration': meeting.duration,
                    'status': meeting.status,
                    'security_level': meeting.security_level,
                    'is_recorded': meeting.is_recorded,
                    'is_active': meeting.status == 'started',
                    'permissions': {
                        'can_join': user_id in meeting.participants or user_id == meeting.host_id,
                        'can_start': user_id == meeting.host_id,
                        'can_record': user_id == meeting.host_id,
                        'can_manage': user_id == meeting.host_id
                    },
                    'participants': meeting.participants,
                    'host_id': meeting.host_id,
                    'meeting_type': meeting.meeting_type.value,
                    'platform': 'zoom'
                }
                channels.append(channel)
            
            return channels
            
        except Exception as e:
            logger.error(f"Error getting intelligent channels: {e}")
            return []
    
    async def send_intelligent_message(self, channel_id: str, message: str, metadata: Dict[str, Any] = None) -> Dict[str, Any]:
        """Send intelligent message"""
        try:
            # Send message to Zoom meeting chat
            meeting = self.active_meetings.get(channel_id)
            
            if not meeting:
                return {
                    'success': False,
                    'error': 'Meeting not found',
                    'platform': 'zoom'
                }
            
            # Send chat message via Zoom API
            result = await self._send_chat_message(channel_id, message)
            
            if result['success']:
                # Log message
                if self.zoom_config['enable_enterprise_features']:
                    await self._log_message_event('chat_message_sent', channel_id, {
                        'message': message,
                        'timestamp': datetime.utcnow().isoformat(),
                        'metadata': metadata or {}
                    })
            
            return result
            
        except Exception as e:
            logger.error(f"Error sending intelligent message: {e}")
            return {
                'success': False,
                'error': str(e),
                'platform': 'zoom'
            }
    
    async def perform_intelligent_search(self, query: str, user_id: str, workspace_id: str = None) -> List[Dict[str, Any]]:
        """Perform intelligent search"""
        try:
            search_results = []
            
            # Search in meetings
            for meeting_id, meeting in self.active_meetings.items():
                if workspace_id and meeting_id != workspace_id:
                    continue
                
                if query.lower() in meeting.topic.lower() or \
                   (meeting.agenda and query.lower() in meeting.agenda.lower()):
                    result = {
                        'id': meeting.meeting_id,
                        'type': 'zoom_meeting',
                        'title': meeting.topic,
                        'snippet': meeting.agenda[:100] + "..." if meeting.agenda and len(meeting.agenda) > 100 else meeting.agenda or "No agenda",
                        'content': f"Meeting: {meeting.topic}\n{meeting.agenda or ''}",
                        'channel_id': meeting.meeting_id,
                        'host_id': meeting.host_id,
                        'timestamp': meeting.start_time.isoformat(),
                        'meeting_type': meeting.meeting_type.value,
                        'platform': 'zoom',
                        'relevance_score': self._calculate_relevance_score(query, meeting.topic + (meeting.agenda or ''))
                    }
                    search_results.append(result)
            
            # Sort by relevance score
            search_results.sort(key=lambda x: x['relevance_score'], reverse=True)
            
            # AI-enhanced search
            if self.ai_service:
                ai_results = await self._perform_ai_search(query, workspace_id)
                search_results.extend(ai_results)
            
            return search_results[:20]  # Return top 20 results
            
        except Exception as e:
            logger.error(f"Error performing intelligent search: {e}")
            return []
    
    async def get_user_conversation_history(self, user_id: str, channel_id: str, limit: int = 50) -> List[Dict[str, Any]]:
        """Get user conversation history"""
        try:
            conversation_history = []
            events = self.meeting_history.get(channel_id, [])
            
            # Filter by user and limit
            user_events = [e for e in events if e.user_id == user_id][-limit:]
            
            for event in user_events:
                history_item = {
                    'id': event.event_id,
                    'content': f"{event.event_type.value}: {event.data}",
                    'event_type': event.event_type.value,
                    'timestamp': event.timestamp.isoformat(),
                    'channel_id': event.meeting_id or '',
                    'platform': 'zoom',
                    'metadata': event.metadata
                }
                conversation_history.append(history_item)
            
            return conversation_history
            
        except Exception as e:
            logger.error(f"Error getting user conversation history: {e}")
            return []
    
    async def get_service_status(self) -> Dict[str, Any]:
        """Get Zoom service status"""
        try:
            return {
                'platform': 'zoom',
                'status': 'active' if self.is_initialized else 'inactive',
                'webhook_url': self.zoom_config['webhook_url'],
                'enterprise_features': self.zoom_config['enable_enterprise_features'],
                'security_level': self.zoom_config['security_level'],
                'compliance_standards': self.zoom_config['compliance_standards'],
                'total_meetings': self.analytics_metrics['total_meetings'],
                'total_users': self.analytics_metrics['total_users'],
                'total_participants': self.analytics_metrics['total_participants'],
                'total_recording_hours': self.analytics_metrics['total_recording_hours'],
                'commands_executed': self.analytics_metrics['commands_executed'],
                'automations_triggered': self.analytics_metrics['automations_triggered'],
                'security_incidents': self.analytics_metrics['security_incidents'],
                'compliance_checks': self.analytics_metrics['compliance_checks'],
                'ai_requests': self.analytics_metrics['ai_requests'],
                'active_meetings': self.analytics_metrics['active_meetings'],
                'active_users': self.analytics_metrics['active_users'],
                'performance_metrics': self.performance_metrics,
                'uptime': time.time() - (self._start_time if hasattr(self, '_start_time') else time.time())
            }
        except Exception as e:
            logger.error(f"Error getting service status: {e}")
            return {'error': str(e), 'platform': 'zoom'}
    
    # Private helper methods
    async def _test_api_connection(self):
        """Test Zoom API connection"""
        try:
            # Get OAuth token
            await self._get_oauth_token()
            
            # Test API call
            if self.oauth_token:
                api_url = f"{self.zoom_config['api_base_url']}/users/me"
                headers = {'Authorization': f'Bearer {self.oauth_token}'}
                
                response = await self.http_session.get(api_url, headers=headers)
                
                if response.status_code == 200:
                    logger.info("Zoom API connection verified")
                else:
                    logger.error(f"Zoom API connection failed: {response.status_code}")
            else:
                logger.warning("Skipping API test - No OAuth token available (User OAuth flow required)")
                
        except Exception as e:
            logger.error(f"Error testing API connection: {e}")
    
    async def _get_oauth_token(self):
        """Get OAuth token"""
        try:
            if self.oauth_token and self.oauth_token_expires and datetime.utcnow() < self.oauth_token_expires:
                return
            
            # Deprecated: Server-to-Server OAuth (Client Credentials)
            # This flow requires ZOOM_ACCOUNT_ID which is no longer used.
            # We now use User Managed OAuth (Authorization Code) which requires user interaction.
            # This method now just logs a warning if no token is present, as tokens should be 
            # injected or retrieved via the ZoomAuthHandler after user login.
            
            logger.info("User Managed OAuth configured. Token should be provided via user authentication flow.")
            
            # In a real implementation, we would fetch the stored user token from DB here
            # For now, we avoid breaking the initialization by not attempting the client_credentials flow
            
        except Exception as e:
            logger.error(f"Error getting OAuth token: {e}")
    
    async def _setup_webhook(self):
        """Setup webhook"""
        try:
            # Setup webhook via Zoom API
            await self._get_oauth_token()
            
            webhook_url = f"{self.zoom_config['api_base_url']}/webhooks"
            headers = {'Authorization': f'Bearer {self.oauth_token}'}
            
            webhook_data = {
                'event_url': self.zoom_config['webhook_url'],
                'event_types': [
                    'meeting.started', 'meeting.ended', 
                    'meeting.participant_joined', 'meeting.participant_left',
                    'recording.completed'
                ],
                'authorization_token': self.zoom_config['webhook_secret']
            }
            
            response = await self.http_session.post(webhook_url, json=webhook_data, headers=headers)
            
            if response.status_code == 201:
                logger.info(f"Zoom webhook setup complete: {self.zoom_config['webhook_url']}")
            else:
                logger.error(f"Zoom webhook setup failed: {response.status_code}")
                
        except Exception as e:
            logger.error(f"Error setting up webhook: {e}")
    
    async def _setup_webhook_handlers(self):
        """Setup webhook handlers"""
        try:
            # Define webhook handlers
            async def handle_meeting_started(event_data: Dict[str, Any]):
                await self._handle_meeting_started(event_data)
            
            async def handle_meeting_ended(event_data: Dict[str, Any]):
                await self._handle_meeting_ended(event_data)
            
            async def handle_participant_joined(event_data: Dict[str, Any]):
                await self._handle_participant_joined(event_data)
            
            async def handle_participant_left(event_data: Dict[str, Any]):
                await self._handle_participant_left(event_data)
            
            async def handle_recording_completed(event_data: Dict[str, Any]):
                await self._handle_recording_completed(event_data)
            
            # Register handlers
            self.webhook_handlers = {
                ZoomEventType.MEETING_STARTED: handle_meeting_started,
                ZoomEventType.MEETING_ENDED: handle_meeting_ended,
                ZoomEventType.MEETING_PARTICIPANT_JOINED: handle_participant_joined,
                ZoomEventType.MEETING_PARTICIPANT_LEFT: handle_participant_left,
                ZoomEventType.RECORDING_COMPLETED: handle_recording_completed
            }
            
            logger.info("Webhook handlers setup complete")
            
        except Exception as e:
            logger.error(f"Error setting up webhook handlers: {e}")
    
    async def _setup_enterprise_features(self):
        """Setup enterprise features"""
        try:
            if not self.enterprise_security or not self.enterprise_automation:
                logger.warning("Enterprise services not available")
                return
            
            # Setup security policies
            await self._setup_security_policies()
            
            # Setup compliance rules
            await self._setup_compliance_rules()
            
            # Setup automation triggers
            await self._setup_automation_triggers()
            
            logger.info("Enterprise features setup complete")
            
        except Exception as e:
            logger.error(f"Error setting up enterprise features: {e}")
    
    async def _setup_security_policies(self):
        """Setup security policies"""
        try:
            self.security_policies = {
                'meeting_access_control': {
                    'enabled': True,
                    'require_password': True,
                    'waiting_room': True,
                    'action': 'restrict'
                },
                'participant_authentication': {
                    'enabled': True,
                    'verified_domains': [],
                    'blocked_users': [],
                    'action': 'restrict'
                },
                'meeting_security': {
                    'enabled': True,
                    'encryption_required': True,
                    'recording_consent': True,
                    'action': 'monitor'
                }
            }
            
            logger.info("Security policies setup complete")
            
        except Exception as e:
            logger.error(f"Error setting up security policies: {e}")
    
    async def _setup_compliance_rules(self):
        """Setup compliance rules"""
        try:
            self.compliance_rules = {
                'recording_compliance': {
                    'enabled': True,
                    'consent_required': True,
                    'retention_period': 365,
                    'action': 'comply'
                },
                'meeting_compliance': {
                    'enabled': True,
                    'participant_logging': True,
                    'duration_logging': True,
                    'action': 'log'
                },
                'data_protection': {
                    'enabled': True,
                    'data_encryption': True,
                    'access_logging': True,
                    'action': 'protect'
                }
            }
            
            logger.info("Compliance rules setup complete")
            
        except Exception as e:
            logger.error(f"Error setting up compliance rules: {e}")
    
    async def _setup_automation_triggers(self):
        """Setup automation triggers"""
        try:
            self.automation_triggers = {
                'meeting_started': {
                    'enabled': True,
                    'conditions': ['host_role', 'meeting_type', 'participant_count'],
                    'actions': ['send_notification', 'start_recording', 'ai_analysis']
                },
                'meeting_ended': {
                    'enabled': True,
                    'conditions': ['duration', 'participant_count', 'recording_status'],
                    'actions': ['generate_report', 'archive_data', 'compliance_check']
                },
                'participant_joined': {
                    'enabled': True,
                    'conditions': ['user_verification', 'meeting_permissions'],
                    'actions': ['welcome_message', 'role_assignment', 'security_check']
                }
            }
            
            logger.info("Automation triggers setup complete")
            
        except Exception as e:
            logger.error(f"Error setting up automation triggers: {e}")
    
    async def _setup_automation(self):
        """Setup automation"""
        try:
            if not self.enterprise_automation:
                logger.warning("Automation service not available")
                return
            
            # Create Zoom-specific automation
            zoom_automation_data = {
                'name': 'Zoom Meeting Automation',
                'description': 'Automation for Zoom meeting events',
                'automation_type': 'integration',
                'priority': 'medium',
                'conditions': [
                    {
                        'type': 'event_triggered',
                        'platform': 'zoom',
                        'events': ['meeting_started', 'meeting_ended', 'participant_joined', 'recording_completed']
                    }
                ],
                'actions': [
                    {
                        'type': 'notification',
                        'config': {
                            'channels': ['platform_admin'],
                            'message': 'Zoom meeting event occurred',
                            'urgency': 'low'
                        }
                    }
                ],
                'schedule': None,
                'timeout': 300,
                'retry_policy': {
                    'max_retries': 2,
                    'backoff': 'exponential'
                },
                'notification_rules': [
                    {
                        'condition': 'on_error',
                        'channels': ['platform_admin'],
                        'urgency': 'medium'
                    }
                ],
                'metadata': {
                    'platform': 'zoom',
                    'integration_version': '1.0.0'
                }
            }
            
            result = await self.enterprise_automation.create_integration_automation('zoom', zoom_automation_data)
            if result.get('ok'):
                logger.info("Zoom automation created successfully")
            else:
                logger.error(f"Failed to create Zoom automation: {result.get('error')}")
            
        except Exception as e:
            logger.error(f"Error setting up automation: {e}")
    
    async def _setup_security_and_compliance(self):
        """Setup security and compliance monitoring"""
        try:
            # Setup monitoring for security events
            if self.zoom_config['enable_enterprise_features']:
                # Security monitoring
                await self._setup_security_monitoring()
                
                # Compliance monitoring
                await self._setup_compliance_monitoring()
            
            logger.info("Security and compliance setup complete")
            
        except Exception as e:
            logger.error(f"Error setting up security and compliance: {e}")
    
    async def _setup_security_monitoring(self):
        """Setup security monitoring"""
        try:
            self.security_monitoring = {
                'meeting_anomaly_detection': {
                    'enabled': True,
                    'threshold': 0.8,
                    'action': 'alert'
                },
                'participant_behavior_analysis': {
                    'enabled': True,
                    'baseline_period': 30,
                    'action': 'monitor'
                },
                'meeting_security_monitoring': {
                    'enabled': True,
                    'security_score_threshold': 0.7,
                    'action': 'flag'
                }
            }
            
            logger.info("Security monitoring setup complete")
            
        except Exception as e:
            logger.error(f"Error setting up security monitoring: {e}")
    
    async def _setup_compliance_monitoring(self):
        """Setup compliance monitoring"""
        try:
            self.compliance_monitoring = {
                'meeting_compliance_checking': {
                    'enabled': True,
                    'check_frequency': 'real_time',
                    'action': 'flag'
                },
                'participant_activity_auditing': {
                    'enabled': True,
                    'audit_retention': 365,
                    'action': 'log'
                },
                'recording_compliance_management': {
                    'enabled': True,
                    'retention_policy': 'standard',
                    'action': 'manage'
                }
            }
            
            logger.info("Compliance monitoring setup complete")
            
        except Exception as e:
            logger.error(f"Error setting up compliance monitoring: {e}")
    
    async def _setup_monitoring(self):
        """Setup monitoring"""
        try:
            self.performance_metrics = {
                'meeting_start_time': 0.0,
                'participant_join_time': 0.0,
                'command_response_time': 0.0,
                'ai_processing_time': 0.0,
                'security_check_time': 0.0,
                'compliance_check_time': 0.0,
                'automation_execution_time': 0.0,
                'webhook_response_time': 0.0
            }
            
            self._start_time = time.time()
            logger.info("Monitoring setup complete")
            
        except Exception as e:
            logger.error(f"Error setting up monitoring: {e}")
    
    async def _load_existing_data(self):
        """Load existing data"""
        try:
            # Mock implementation - would load from database
            logger.info("Existing data loaded")
            
        except Exception as e:
            logger.error(f"Error loading existing data: {e}")
    
    async def _send_chat_message(self, meeting_id: str, message: str) -> Dict[str, Any]:
        """Send chat message to meeting"""
        try:
            await self._get_oauth_token()
            
            api_url = f"{self.zoom_config['api_base_url']}/meetings/{meeting_id}/chat"
            headers = {'Authorization': f'Bearer {self.oauth_token}'}
            
            chat_data = {
                'to_all': True,
                'message': message
            }
            
            response = await self.http_session.post(api_url, json=chat_data, headers=headers)
            
            if response.status_code == 201:
                return {
                    'success': True,
                    'message_id': response.json().get('message_id'),
                    'timestamp': datetime.utcnow().isoformat()
                }
            else:
                return {
                    'success': False,
                    'error': response.json().get('message', 'Unknown error')
                }
                
        except Exception as e:
            logger.error(f"Error sending chat message: {e}")
            return {
                'success': False,
                'error': str(e)
            }
    
    def _calculate_relevance_score(self, query: str, content: str) -> float:
        """Calculate relevance score for search"""
        try:
            query_words = query.lower().split()
            content_words = content.lower().split()
            
            matches = 0
            for word in query_words:
                if word in content_words:
                    matches += 1
            
            return matches / len(query_words) if query_words else 0.0
            
        except Exception as e:
            logger.error(f"Error calculating relevance score: {e}")
            return 0.0
    
    async def _perform_ai_search(self, query: str, workspace_id: str = None) -> List[Dict[str, Any]]:
        """Perform AI-enhanced search"""
        try:
            if not self.ai_service:
                return []
            
            # Create AI request
            ai_request = AIRequest(
                request_id=f"zoom_search_{int(time.time())}",
                task_type=AITaskType.SEARCH_QUERY,
                model_type=AIModelType.GPT_4,
                service_type=AIServiceType.OPENAI,
                input_data={
                    'query': query,
                    'context': 'zoom_search',
                    'workspace_id': workspace_id,
                    'meetings': [asdict(m) for m in self.active_meetings.values()]
                },
                context={
                    'platform': 'zoom',
                    'workspace_id': workspace_id
                },
                platform='zoom'
            )
            
            # Process AI request
            ai_response = await self.ai_service.process_ai_request(ai_request)
            
            if ai_response.ok and ai_response.output_data:
                return ai_response.output_data.get('results', [])
            
            return []
            
        except Exception as e:
            logger.error(f"Error performing AI search: {e}")
            return []
    
    async def _log_message_event(self, event_type: str, channel_id: str, data: Dict[str, Any]):
        """Log message event"""
        try:
            if self.enterprise_security:
                await self.enterprise_security.audit_event({
                    'event_type': event_type,
                    'user_id': data.get('user_id'),
                    'resource': 'zoom_meeting',
                    'action': event_type,
                    'result': 'success',
                    'ip_address': 'zoom',
                    'user_agent': 'zoom_api',
                    'metadata': {
                        'meeting_id': channel_id,
                        'platform': 'zoom',
                        'data': data
                    }
                })
                
        except Exception as e:
            logger.error(f"Error logging message event: {e}")
    
    # Webhook event handlers
    async def _handle_meeting_started(self, event_data: Dict[str, Any]):
        """Handle meeting started event"""
        try:
            meeting_id = event_data.get('payload', {}).get('object', {}).get('id')
            topic = event_data.get('payload', {}).get('object', {}).get('topic')
            host_id = event_data.get('payload', {}).get('object', {}).get('host_id')
            
            # Update analytics
            self.analytics_metrics['total_meetings'] += 1
            self.analytics_metrics['meetings_today'] += 1
            self.analytics_metrics['active_meetings'] += 1
            
            # Create meeting object
            meeting = ZoomMeeting(
                meeting_id=meeting_id,
                topic=topic,
                meeting_type=ZoomMeetingType.INSTANT,
                host_id=host_id,
                start_time=datetime.utcnow(),
                duration=0,
                timezone='UTC',
                agenda=topic,
                participants=[host_id],
                is_recorded=False,
                password=None,
                waiting_room=False,
                security_level=self.zoom_config['security_level'],
                created_at=datetime.utcnow(),
                status='started',
                metadata={}
            )
            
            self.active_meetings[meeting_id] = meeting
            
            # Trigger automation
            if self.zoom_config['enable_enterprise_features']:
                await self._trigger_automations('meeting_started', meeting, event_data)
            
            # Ingest to ATOM memory (LanceDB)
            try:
                atom_ingestion_pipeline.ingest_record("zoom", RecordType.MEETING.value, asdict(meeting))
                logger.info(f"Zoom meeting {meeting_id} ingested to memory")
            except Exception as me:
                logger.error(f"Failed to ingest Zoom meeting to memory: {me}")
            
            logger.info(f"Meeting started: {meeting_id} - {topic}")
            
        except Exception as e:
            logger.error(f"Error handling meeting started event: {e}")
    
    async def _handle_meeting_ended(self, event_data: Dict[str, Any]):
        """Handle meeting ended event"""
        try:
            meeting_id = event_data.get('payload', {}).get('object', {}).get('id')
            
            # Update analytics
            self.analytics_metrics['active_meetings'] = max(0, self.analytics_metrics['active_meetings'] - 1)
            
            # Update meeting status
            if meeting_id in self.active_meetings:
                meeting = self.active_meetings[meeting_id]
                meeting.status = 'ended'
                meeting.duration = int((datetime.utcnow() - meeting.start_time).total_seconds())
                
                # Trigger automation
                if self.zoom_config['enable_enterprise_features']:
                    await self._trigger_automations('meeting_ended', meeting, event_data)
                
                # Update memory
                try:
                    atom_ingestion_pipeline.ingest_record("zoom", RecordType.MEETING.value, asdict(meeting))
                    logger.info(f"Zoom meeting {meeting_id} (ended) updated in memory")
                except Exception as me:
                    logger.error(f"Failed to update Zoom meeting in memory: {me}")
            
            logger.info(f"Meeting ended: {meeting_id}")
            
        except Exception as e:
            logger.error(f"Error handling meeting ended event: {e}")
    
    async def _handle_participant_joined(self, event_data: Dict[str, Any]):
        """Handle participant joined event"""
        try:
            meeting_id = event_data.get('payload', {}).get('object', {}).get('id')
            participant_id = event_data.get('payload', {}).get('object', {}).get('participant', {}).get('id')
            participant_name = event_data.get('payload', {}).get('object', {}).get('participant', {}).get('user_name')
            
            # Update analytics
            self.analytics_metrics['total_participants'] += 1
            
            # Update meeting participants
            if meeting_id in self.active_meetings:
                meeting = self.active_meetings[meeting_id]
                if participant_id not in meeting.participants:
                    meeting.participants.append(participant_id)
                
                # Trigger automation
                if self.zoom_config['enable_enterprise_features']:
                    await self._trigger_automations('participant_joined', meeting, event_data)
            
            logger.info(f"Participant joined: {participant_name} ({participant_id}) in meeting {meeting_id}")
            
        except Exception as e:
            logger.error(f"Error handling participant joined event: {e}")
    
    async def _handle_participant_left(self, event_data: Dict[str, Any]):
        """Handle participant left event"""
        try:
            meeting_id = event_data.get('payload', {}).get('object', {}).get('id')
            participant_id = event_data.get('payload', {}).get('object', {}).get('participant', {}).get('id')
            participant_name = event_data.get('payload', {}).get('object', {}).get('participant', {}).get('user_name')
            
            # Update meeting participants
            if meeting_id in self.active_meetings:
                meeting = self.active_meetings[meeting_id]
                if participant_id in meeting.participants:
                    meeting.participants.remove(participant_id)
            
            logger.info(f"Participant left: {participant_name} ({participant_id}) from meeting {meeting_id}")
            
        except Exception as e:
            logger.error(f"Error handling participant left event: {e}")
    
    async def _handle_recording_completed(self, event_data: Dict[str, Any]):
        """Handle recording completed event"""
        try:
            meeting_id = event_data.get('payload', {}).get('object', {}).get('id')
            recording_files = event_data.get('payload', {}).get('object', {}).get('recording_files', [])
            
            # Update analytics
            total_duration = sum(f.get('recording_length', 0) for f in recording_files)
            self.analytics_metrics['total_recording_hours'] += total_duration / 3600
            
            # Update meeting recording status
            if meeting_id in self.active_meetings:
                meeting = self.active_meetings[meeting_id]
                meeting.is_recorded = True
                meeting.metadata['recording_files'] = recording_files
                
                # Trigger automation
                if self.zoom_config['enable_enterprise_features']:
                    await self._trigger_automations('recording_completed', meeting, event_data)
                
                # Update memory with recording info
                try:
                    atom_ingestion_pipeline.ingest_record("zoom", RecordType.MEETING.value, asdict(meeting))
                    logger.info(f"Zoom meeting {meeting_id} (recording completed) updated in memory")
                except Exception as me:
                    logger.error(f"Failed to update Zoom meeting in memory: {me}")
            
            logger.info(f"Recording completed for meeting: {meeting_id}")
            
        except Exception as e:
            logger.error(f"Error handling recording completed event: {e}")
    
    async def _trigger_automations(self, event_type: str, meeting: ZoomMeeting, event_data: Dict[str, Any]):
        """Trigger automations"""
        try:
            if not self.enterprise_automation:
                return
            
            # Find relevant automations
            relevant_automations = []
            for automation_id, automation in self.automation_triggers.items():
                if automation['enabled'] and event_type in automation['name']:
                    relevant_automations.append(automation)
            
            # Execute automations
            for automation in relevant_automations:
                trigger_context = {
                    'event_type': event_type,
                    'meeting': asdict(meeting),
                    'event_data': event_data,
                    'platform': 'zoom'
                }
                
                # Execute automation
                # This would integrate with automation service
                # await self.enterprise_automation.trigger_automation(automation_id, trigger_context)
            
            # Update metrics
            self.analytics_metrics['automations_triggered'] += len(relevant_automations)
            
        except Exception as e:
            logger.error(f"Error triggering automations: {e}")
    
    async def close(self):
        """Close Zoom integration"""
        try:
            if self.http_session:
                await self.http_session.aclose()
            
            logger.info("Zoom Integration closed")
            
        except Exception as e:
            logger.error(f"Error closing Zoom integration: {e}")

# Global Zoom integration instance
_zoom_config = {
    'api_key': os.getenv('ZOOM_API_KEY'),
    'api_secret': os.getenv('ZOOM_API_SECRET'),
    'client_id': os.getenv('ZOOM_CLIENT_ID'),
    'client_secret': os.getenv('ZOOM_CLIENT_SECRET'),
    'webhook_url': os.getenv('ZOOM_WEBHOOK_URL'),
    'webhook_secret': os.getenv('ZOOM_WEBHOOK_SECRET'),
    'enable_enterprise_features': True,
    'security_level': 'standard',
    'compliance_standards': ['SOC2', 'ISO27001', 'HIPAA'],
    'database': None,  # Would be actual database connection
    'cache': None,  # Would be actual cache client
}

# Add optional services if they were imported successfully
_security_service = globals().get('atom_enterprise_security_service')
if _security_service:
    _zoom_config['security_service'] = _security_service
_automation_service = globals().get('atom_workflow_automation_service')
if _automation_service:
    _zoom_config['automation_service'] = _automation_service
_ai_service = globals().get('ai_enhanced_service')
if _ai_service:
    _zoom_config['ai_service'] = _ai_service

atom_zoom_integration = AtomZoomIntegration(_zoom_config)