annator-command-center / integrations /atom_whatsapp_integration.py
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"""
ATOM WhatsApp Integration
Advanced WhatsApp 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
# Handle numpy/pandas being disabled
try:
import numpy as np
import pandas as pd
except ImportError:
np = None
pd = None
logging.warning("NumPy/Pandas not available, some analytics features disabled")
# 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 (
ComplianceStandard,
SecurityLevel,
atom_enterprise_security_service,
)
from atom_enterprise_unified_service import (
WorkflowSecurityLevel,
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_workflow_automation_service import (
AutomationPriority,
AutomationStatus,
atom_workflow_automation_service,
)
from atom_workflow_service import AtomWorkflowService
except ImportError as e:
logging.warning(f"Enterprise services not available: {e}")
atom_enterprise_security_service = None
atom_workflow_automation_service = None
ai_enhanced_service = None
atom_enterprise_unified_service = None
AtomMemoryService = None
AtomSearchService = None
AtomWorkflowService = None
AtomIngestionPipeline = None
atom_ai_integration = None
atom_slack_integration = None
atom_teams_integration = None
atom_google_chat_integration = None
atom_discord_integration = None
atom_telegram_integration = None
# Configure logging
logger = logging.getLogger(__name__)
class WhatsAppMessageType(Enum):
"""WhatsApp message types"""
TEXT = "text"
IMAGE = "image"
VIDEO = "video"
AUDIO = "audio"
VOICE = "voice"
DOCUMENT = "document"
STICKER = "sticker"
LOCATION = "location"
CONTACT = "contact"
INTERACTIVE = "interactive"
TEMPLATE = "template"
REACTION = "reaction"
class WhatsAppChatType(Enum):
"""WhatsApp chat types"""
PRIVATE = "private"
GROUP = "group"
BROADCAST = "broadcast"
class WhatsAppCommandType(Enum):
"""WhatsApp command types"""
START = "start"
HELP = "help"
STATUS = "status"
SEARCH = "search"
WORKFLOW = "workflow"
AUTOMATE = "automate"
SECURITY = "security"
COMPLIANCE = "compliance"
ANALYTICS = "analytics"
MONITOR = "monitor"
REPORT = "report"
ADMIN = "admin"
@dataclass
class WhatsAppUser:
"""WhatsApp user data model"""
user_id: str
phone_number: str
name: str
profile_picture: Optional[str]
is_business: bool
is_verified: bool
is_active: bool
permissions: List[str]
security_level: str
created_at: datetime
last_active: datetime
metadata: Dict[str, Any]
@dataclass
class WhatsAppChat:
"""WhatsApp chat data model"""
chat_id: str
chat_type: WhatsAppChatType
name: Optional[str]
description: Optional[str]
profile_picture: Optional[str]
participants: List[str]
admin_participants: List[str]
permissions: Dict[str, Any]
security_level: str
is_active: bool
member_count: int
created_at: datetime
last_message: datetime
metadata: Dict[str, Any]
@dataclass
class WhatsAppMessage:
"""WhatsApp message data model"""
message_id: str
chat_id: str
user_id: str
message_type: WhatsAppMessageType
content: str
media_path: Optional[str]
reply_to_message_id: Optional[str]
forward_from: Optional[str]
edit_date: Optional[datetime]
timestamp: datetime
views: int
reactions: List[Dict[str, Any]]
security_flags: Dict[str, Any]
metadata: Dict[str, Any]
class AtomWhatsAppIntegration:
"""Advanced WhatsApp integration with enterprise features"""
def __init__(self, config: Dict[str, Any]):
self.config = config
self.db = config.get('database')
self.cache = config.get('cache')
# WhatsApp configuration
self.whatsapp_config = {
'phone_number_id': config.get('phone_number_id') or os.getenv('WHATSAPP_PHONE_NUMBER_ID'),
'business_account_id': config.get('business_account_id') or os.getenv('WHATSAPP_BUSINESS_ACCOUNT_ID'),
'access_token': config.get('access_token') or os.getenv('WHATSAPP_ACCESS_TOKEN'),
'webhook_url': config.get('webhook_url') or os.getenv('WHATSAPP_WEBHOOK_URL'),
'webhook_secret': config.get('webhook_secret') or os.getenv('WHATSAPP_WEBHOOK_SECRET'),
'admin_phone_numbers': config.get('admin_phone_numbers', []),
'allowed_chat_types': config.get('allowed_chat_types', ['private', 'group']),
'max_message_length': config.get('max_message_length', 4000),
'enable_enterprise_features': config.get('enable_enterprise_features', True),
'security_level': config.get('security_level', 'standard'),
'compliance_standards': config.get('compliance_standards', ['GDPR', 'SOC2', 'ISO27001']),
'api_version': config.get('api_version', 'v18.0'),
'api_base_url': config.get('api_base_url', 'https://graph.facebook.com')
}
# Integration state
self.is_initialized = False
self.active_chats: Dict[str, WhatsAppChat] = {}
self.active_users: Dict[str, WhatsAppUser] = {}
self.message_history: Dict[str, List[WhatsAppMessage]] = {}
self.command_handlers: Dict[str, Callable] = {}
self.message_handlers: List[Callable] = []
# Enterprise integration
self.enterprise_security = config.get('security_service') or atom_enterprise_security_service
self.enterprise_automation = config.get('automation_service') or atom_workflow_automation_service
self.ai_service = config.get('ai_service') or ai_enhanced_service
# Analytics and monitoring
self.analytics_metrics = {
'total_messages': 0,
'total_chats': 0,
'total_users': 0,
'commands_executed': 0,
'automations_triggered': 0,
'security_incidents': 0,
'compliance_checks': 0,
'ai_requests': 0,
'message_types': defaultdict(int),
'chat_types': defaultdict(int),
'active_chats': 0,
'active_users': 0
}
# Security and compliance
self.security_policies = {}
self.compliance_rules = {}
self.automation_triggers = {}
self.message_filters = []
# Performance metrics
self.performance_metrics = {
'message_processing_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,
headers={
'Authorization': f'Bearer {self.whatsapp_config["access_token"]}',
'Content-Type': 'application/json'
}
)
logger.info("WhatsApp Integration initialized")
async def initialize(self) -> bool:
"""Initialize WhatsApp integration"""
try:
if not self.whatsapp_config['access_token']:
logger.error("WhatsApp access token not provided")
return False
# Verify WhatsApp Business API connection
await self._verify_api_connection()
# Setup webhook
if self.whatsapp_config['webhook_url']:
await self._setup_webhook()
# Setup enterprise features
if self.whatsapp_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("WhatsApp Integration initialized successfully")
return True
except Exception as e:
logger.error(f"Error initializing WhatsApp integration: {e}")
return False
async def get_intelligent_workspaces(self, user_id: str) -> List[Dict[str, Any]]:
"""Get intelligent workspaces for user"""
try:
workspaces = []
for chat_id, chat in self.active_chats.items():
# Check if user has access to chat
if chat.is_active and user_id in chat.participants:
workspace = {
'id': chat.chat_id,
'name': chat.name or f"Chat {chat.chat_id}",
'type': chat.chat_type.value,
'member_count': chat.member_count,
'description': chat.description,
'last_activity': chat.last_message.isoformat(),
'security_level': chat.security_level,
'permissions': chat.permissions,
'participant_count': len(chat.participants),
'admin_count': len(chat.admin_participants),
'is_group': chat.chat_type == WhatsAppChatType.GROUP,
'platform': 'whatsapp'
}
workspaces.append(workspace)
# Sort by last activity
workspaces.sort(key=lambda x: x['last_activity'], 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 = []
chat = self.active_chats.get(workspace_id)
if chat and user_id in chat.participants:
# For WhatsApp, workspace is chat itself
channel = {
'id': chat.chat_id,
'name': chat.name or f"Chat {chat.chat_id}",
'type': chat.chat_type.value,
'member_count': chat.member_count,
'description': chat.description,
'security_level': chat.security_level,
'permissions': chat.permissions,
'is_active': chat.is_active,
'participants': chat.participants,
'admin_participants': chat.admin_participants,
'last_activity': chat.last_message.isoformat(),
'platform': 'whatsapp',
'is_private': chat.chat_type == WhatsAppChatType.PRIVATE,
'is_group': chat.chat_type == WhatsAppChatType.GROUP
}
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 via WhatsApp API
api_url = f"{self.whatsapp_config['api_base_url']}/{self.whatsapp_config['api_version']}/{self.whatsapp_config['phone_number_id']}/messages"
message_data = {
'messaging_product': 'whatsapp',
'recipient_type': 'individual',
'to': channel_id,
'type': 'text',
'text': {
'body': message
}
}
response = await self.http_session.post(api_url, json=message_data)
if response.status_code == 200:
result = {
'success': True,
'channel_id': channel_id,
'message': message,
'timestamp': datetime.utcnow().isoformat(),
'platform': 'whatsapp',
'metadata': metadata or {},
'message_id': response.json().get('messages', [{}])[0].get('id')
}
# Log message
if self.whatsapp_config['enable_enterprise_features']:
await self._log_message_event('message_sent', channel_id, result)
return result
else:
error_response = response.json()
return {
'success': False,
'error': error_response.get('error', {}).get('message', 'Unknown error'),
'platform': 'whatsapp'
}
except Exception as e:
logger.error(f"Error sending intelligent message: {e}")
return {
'success': False,
'error': str(e),
'platform': 'whatsapp'
}
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 message history
for chat_id, messages in self.message_history.items():
if workspace_id and chat_id != workspace_id:
continue
for message in messages:
if query.lower() in message.content.lower():
result = {
'id': message.message_id,
'type': 'whatsapp_message',
'title': f"Message {message.message_id}",
'snippet': message.content[:100] + "..." if len(message.content) > 100 else message.content,
'content': message.content,
'channel_id': message.chat_id,
'user_id': message.user_id,
'timestamp': message.timestamp.isoformat(),
'message_type': message.message_type.value,
'platform': 'whatsapp',
'relevance_score': self._calculate_relevance_score(query, message.content)
}
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 = []
messages = self.message_history.get(channel_id, [])
# Filter by user and limit
user_messages = [m for m in messages if m.user_id == user_id][-limit:]
for message in user_messages:
history_item = {
'id': message.message_id,
'content': message.content,
'message_type': message.message_type.value,
'timestamp': message.timestamp.isoformat(),
'channel_id': message.chat_id,
'platform': 'whatsapp',
'metadata': message.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 WhatsApp service status"""
try:
return {
'platform': 'whatsapp',
'status': 'active' if self.is_initialized else 'inactive',
'phone_number_id': self.whatsapp_config['phone_number_id'],
'business_account_id': self.whatsapp_config['business_account_id'],
'webhook_url': self.whatsapp_config['webhook_url'],
'api_version': self.whatsapp_config['api_version'],
'enterprise_features': self.whatsapp_config['enable_enterprise_features'],
'security_level': self.whatsapp_config['security_level'],
'compliance_standards': self.whatsapp_config['compliance_standards'],
'total_messages': self.analytics_metrics['total_messages'],
'total_chats': self.analytics_metrics['total_chats'],
'total_users': self.analytics_metrics['total_users'],
'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_chats': self.analytics_metrics['active_chats'],
'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': 'whatsapp'}
# Private helper methods
async def _verify_api_connection(self):
"""Verify WhatsApp API connection"""
try:
api_url = f"{self.whatsapp_config['api_base_url']}/{self.whatsapp_config['api_version']}/me"
response = await self.http_session.get(api_url)
if response.status_code == 200:
logger.info("WhatsApp API connection verified")
else:
logger.error(f"WhatsApp API connection failed: {response.status_code}")
except Exception as e:
logger.error(f"Error verifying API connection: {e}")
async def _setup_webhook(self):
"""Setup webhook"""
try:
api_url = f"{self.whatsapp_config['api_base_url']}/{self.whatsapp_config['api_version']}/{self.whatsapp_config['phone_number_id']}/subscriptions"
webhook_data = {
'object': 'whatsapp_business_account',
'callback_url': self.whatsapp_config['webhook_url'],
'fields': ['messages', 'message_reactions'],
'verify_token': self.whatsapp_config['webhook_secret']
}
response = await self.http_session.post(api_url, json=webhook_data)
if response.status_code == 200:
logger.info(f"WhatsApp webhook setup complete: {self.whatsapp_config['webhook_url']}")
else:
logger.error(f"WhatsApp webhook setup failed: {response.status_code}")
except Exception as e:
logger.error(f"Error setting up webhook: {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 = {
'message_content_filter': {
'enabled': True,
'blocked_patterns': ['spam', 'malware', 'suspicious'],
'action': 'block'
},
'user_access_control': {
'enabled': True,
'allowed_domains': [],
'blocked_users': [],
'action': 'restrict'
},
'chat_security': {
'enabled': True,
'require_admin_approval': False,
'encryption_required': False,
'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 = {
'message_retention': {
'enabled': True,
'retention_period': 365,
'auto_delete': False
},
'content_moderation': {
'enabled': True,
'profanity_filter': True,
'hate_speech_filter': True,
'action': 'flag'
},
'audit_logging': {
'enabled': True,
'log_all_messages': True,
'log_user_actions': True,
'action': 'log'
}
}
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 = {
'message_received': {
'enabled': True,
'conditions': ['chat_type', 'user_role', 'message_content'],
'actions': ['send_notification', 'execute_workflow', 'ai_analysis']
},
'user_joined': {
'enabled': True,
'conditions': ['user_verification', 'chat_permissions'],
'actions': ['welcome_message', 'role_assignment', 'compliance_check']
},
'command_executed': {
'enabled': True,
'conditions': ['command_type', 'user_permissions'],
'actions': ['process_command', 'security_check', 'logging']
}
}
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 WhatsApp-specific automation
whatsapp_automation_data = {
'name': 'WhatsApp Integration Automation',
'description': 'Automation for WhatsApp integration events',
'automation_type': 'integration',
'priority': 'medium',
'conditions': [
{
'type': 'event_triggered',
'platform': 'whatsapp',
'events': ['message_received', 'user_joined', 'command_executed']
}
],
'actions': [
{
'type': 'notification',
'config': {
'channels': ['platform_admin'],
'message': 'WhatsApp integration 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': 'whatsapp',
'integration_version': '1.0.0'
}
}
result = await self.enterprise_automation.create_integration_automation('whatsapp', whatsapp_automation_data)
if result.get('ok'):
logger.info("WhatsApp automation created successfully")
else:
logger.error(f"Failed to create WhatsApp 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.whatsapp_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 = {
'message_anomaly_detection': {
'enabled': True,
'threshold': 0.8,
'action': 'alert'
},
'user_behavior_analysis': {
'enabled': True,
'baseline_period': 30,
'action': 'monitor'
},
'chat_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 = {
'message_compliance_checking': {
'enabled': True,
'check_frequency': 'real_time',
'action': 'flag'
},
'user_activity_auditing': {
'enabled': True,
'audit_retention': 365,
'action': 'log'
},
'data_retention_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 = {
'message_processing_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}")
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"whatsapp_search_{int(time.time())}",
task_type=AITaskType.SEARCH_QUERY,
model_type=AIModelType.GPT_4,
service_type=AIServiceType.OPENAI,
input_data={
'query': query,
'context': 'whatsapp_search',
'workspace_id': workspace_id,
'message_history': [asdict(m) for chat_messages in self.message_history.values() for m in chat_messages]
},
context={
'platform': 'whatsapp',
'workspace_id': workspace_id
},
platform='whatsapp'
)
# 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': 'whatsapp_message',
'action': event_type,
'result': 'success',
'ip_address': 'whatsapp',
'user_agent': 'whatsapp_bot',
'metadata': {
'channel_id': channel_id,
'platform': 'whatsapp',
'data': data
}
})
except Exception as e:
logger.error(f"Error logging message event: {e}")
async def close(self):
"""Close WhatsApp integration"""
try:
if self.http_session:
await self.http_session.aclose()
logger.info("WhatsApp Integration closed")
except Exception as e:
logger.error(f"Error closing WhatsApp integration: {e}")
# Global WhatsApp integration instance
atom_whatsapp_integration = AtomWhatsAppIntegration({
'phone_number_id': os.getenv('WHATSAPP_PHONE_NUMBER_ID'),
'business_account_id': os.getenv('WHATSAPP_BUSINESS_ACCOUNT_ID'),
'access_token': os.getenv('WHATSAPP_ACCESS_TOKEN'),
'webhook_url': os.getenv('WHATSAPP_WEBHOOK_URL'),
'webhook_secret': os.getenv('WHATSAPP_WEBHOOK_SECRET'),
'enable_enterprise_features': True,
'security_level': 'standard',
'compliance_standards': ['GDPR', 'SOC2', 'ISO27001'],
'database': None, # Would be actual database connection
'cache': None, # Would be actual cache client
'security_service': atom_enterprise_security_service,
'automation_service': atom_workflow_automation_service,
'ai_service': ai_enhanced_service
})