Upload agents/client_management_agent.py with huggingface_hub

agents/client_management_agent.py

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+import asyncio
+from typing import Dict, List, Any
+from core.agent import BaseAgent
+from core.models import AgentConfig, Task, AgentMessage, SEOData
+import logging
+import random
+from datetime import datetime
+
+logger = logging.getLogger(__name__)
+
+
+class ClientManagementAgent(BaseAgent):
+    """Client Management Agent responsible for customer relations and retention"""
+    
+    def __init__(self, config: AgentConfig):
+        super().__init__(config)
+        self.client_database = {}
+        self.onboarding_process = {}
+        self.performance_reports = {}
+        self.retention_strategies = []
+        
+    async def execute(self):
+        """Execute client management functions"""
+        logger.info(f"{self.name} executing client management...")
+        
+        # Handle client onboarding
+        await self.handle_onboarding()
+        
+        # Generate performance reports
+        await self.generate_reports()
+        
+        # Manage renewals and upsells
+        await self.manage_renewals_upsells()
+        
+        # Implement retention strategies
+        await self.implement_retention()
+    
+    async def handle_onboarding(self):
+        """Handle new client onboarding process"""
+        logger.info(f"{self.name} handling client onboarding...")
+        
+        # Simulate onboarding process
+        onboarding_data = {
+            "client_profile": {
+                "name": "Sample Client Inc.",
+                "industry": "E-commerce",
+                "size": "SMB",
+                "goals": ["increase_organic_traffic", "improve_rankings", "generate_leads"]
+            },
+            "onboarding_status": {
+                "kickoff_meeting": "completed",
+                "site_audit": "in_progress",
+                "keyword_research": "scheduled",
+                "content_strategy": "pending"
+            },
+            "account_manager": "AI_Assistant",
+            "onboarding_completion_date": (datetime.now()).strftime('%Y-%m-%d')
+        }
+        
+        # Add to client database
+        client_id = "client_" + str(len(self.client_database) + 1)
+        self.client_database[client_id] = onboarding_data
+        
+        self.onboarding_process[client_id] = onboarding_data
+        
+        # Log onboarding
+        logger.info(f"Onboarded new client: {onboarding_data['client_profile']['name']}")
+    
+    async def generate_reports(self):
+        """Generate client performance reports"""
+        logger.info(f"{self.name} generating performance reports...")
+        
+        # Simulate report generation
+        report_data = {
+            "report_period": "November_2023",
+            "clients": [
+                {
+                    "client_id": "client_1",
+                    "metrics": {
+                        "organic_traffic": {"current": 12500, "change": "+12%"},
+                        "keyword_rankings": {"improved": 25, "lost": 3},
+                        "revenue_attributed": 25000
+                    },
+                    "recommendations": ["expand_content_creation", "focus_on_local_seo"],
+                    "next_steps": ["technical_audits", "link_building_campaign"]
+                }
+            ],
+            "generation_date": (datetime.now()).strftime('%Y-%m-%d')
+        }
+        
+        self.performance_reports.update(report_data)
+        
+        # Log report generation
+        logger.info(f"Generated performance reports for {len(report_data['clients'])} clients")
+    
+    async def manage_renewals_upsells(self):
+        """Manage subscription renewals and upsell opportunities"""
+        logger.info(f"{self.name} managing renewals and upsells...")
+        
+        # Simulate renewal and upsell management
+        renewal_data = [
+            {
+                "client_id": "client_1",
+                "subscription_type": "professional",
+                "renewal_date": "2024-01-15",
+                "upsell_opportunity": "upgrade_to_enterprise",
+                "retention_risk": "low"
+            },
+            {
+                "client_id": "client_2", 
+                "subscription_type": "starter",
+                "renewal_date": "2024-02-20",
+                "upsell_opportunity": "add_conversion_optimization",
+                "retention_risk": "medium"
+            }
+        ]
+        
+        # Send renewal notifications to clients
+        for renewal in renewal_data:
+            await self.send_message(
+                recipient="ceo_strategy",
+                content=f"Renewal alert: {renewal['client_id']} subscription expires {renewal['renewal_date']}",
+                message_type="info"
+            )
+            
+            if renewal['upsell_opportunity']:
+                await self.send_message(
+                    recipient="ceo_strategy",
+                    content=f"Upsell opportunity for {renewal['client_id']}: {renewal['upsell_opportunity']}",
+                    message_type="info"
+                )
+    
+    async def implement_retention(self):
+        """Implement client retention strategies"""
+        logger.info(f"{self.name} implementing retention strategies...")
+        
+        # Simulate retention strategies
+        retention_strategies = [
+            {"strategy": "success_story_sharing", "target": "at_risk_clients", "frequency": "monthly"},
+            {"strategy": "feature_preview", "target": "all_clients", "frequency": "quarterly"},
+            {"strategy": "dedicated_support", "target": "premium_clients", "frequency": "weekly"},
+            {"strategy": "performance_incentives", "target": "underperforming_accounts", "frequency": "bi_monthly"}
+        ]
+        
+        self.retention_strategies.extend(retention_strategies)
+        
+        # Log retention strategies
+        logger.info(f"Implemented {len(retention_strategies)} retention strategies")
+    
+    async def _execute_task_logic(self, task: Task) -> Dict[str, Any]:
+        """Execute specific task logic for Client Management agent"""
+        if task.type == "handle_onboarding":
+            await self.handle_onboarding()
+            return {"status": "completed", "result": self.onboarding_process}
+        elif task.type == "generate_reports":
+            await self.generate_reports()
+            return {"status": "completed", "result": self.performance_reports}
+        elif task.type == "manage_renewals":
+            await self.manage_renewals_upsells()
+            return {"status": "completed", "result": "Renewal management completed"}
+        else:
+            return {"status": "error", "message": f"Unknown task type: {task.type}"}