Upload agents/seo_director_agent.py with huggingface_hub

agents/seo_director_agent.py

@@ -0,0 +1,151 @@
+import asyncio
+from typing import Dict, List, Any
+from core.agent import BaseAgent
+from core.models import AgentConfig, Task, AgentMessage, SEOData
+import logging
+from datetime import datetime
+
+logger = logging.getLogger(__name__)
+
+
+class SEODirectorAgent(BaseAgent):
+    """SEO Director Agent responsible for pipeline management and oversight"""
+    
+    def __init__(self, config: AgentConfig):
+        super().__init__(config)
+        self.seo_pipeline = []
+        self.performance_tracking = {}
+        self.competitor_intelligence = []
+        
+    async def execute(self):
+        """Execute SEO director functions"""
+        logger.info(f"{self.name} executing SEO pipeline management...")
+        
+        # Monitor ongoing SEO activities
+        await self.monitor_seo_pipeline()
+        
+        # Track performance metrics
+        await self.track_performance()
+        
+        # Gather competitor intelligence
+        await self.gather_competitor_intel()
+        
+        # Coordinate with other agents
+        await self.coordinate_activities()
+    
+    async def monitor_seo_pipeline(self):
+        """Monitor the overall SEO pipeline"""
+        logger.info(f"{self.name} monitoring SEO pipeline...")
+        
+        # In a real implementation, this would check the status of various SEO tasks
+        # For now, we'll simulate pipeline monitoring
+        pipeline_status = {
+            "keyword_research": "completed",
+            "content_creation": "in_progress",
+            "link_building": "scheduled",
+            "technical_audits": "completed"
+        }
+        
+        self.seo_pipeline.append(pipeline_status)
+        
+        # Send pipeline status to relevant agents
+        await self.send_message(
+            recipient="tech_seo",
+            content=f"Pipeline status: {pipeline_status}",
+            message_type="info"
+        )
+        
+        await self.send_message(
+            recipient="content_seo",
+            content=f"Pipeline status: {pipeline_status}",
+            message_type="info"
+        )
+    
+    async def track_performance(self):
+        """Track SEO performance metrics"""
+        logger.info(f"{self.name} tracking performance...")
+        
+        # Simulate performance tracking
+        performance_data = {
+            "rankings": {"improved": 15, "declined": 3, "unchanged": 42},
+            "traffic": {"organic": 12500, "change": "+12%"},
+            "conversions": {"total": 125, "cvr": "2.1%"}
+        }
+        
+        self.performance_tracking.update(performance_data)
+        
+        # Send performance updates to CEO and client management
+        await self.send_message(
+            recipient="ceo_strategy",
+            content=f"Performance report: {performance_data}",
+            message_type="info"
+        )
+        
+        await self.send_message(
+            recipient="client_management",
+            content=f"Performance report: {performance_data}",
+            message_type="info"
+        )
+    
+    async def gather_competitor_intel(self):
+        """Gather intelligence on competitors"""
+        logger.info(f"{self.name} gathering competitor intelligence...")
+        
+        # Simulate competitor analysis
+        competitor_data = {
+            "top_competitors": ["competitor1.com", "competitor2.com"],
+            "content_strategies": "competitor_content_analysis",
+            "backlink_profiles": "competitor_backlink_analysis"
+        }
+        
+        self.competitor_intelligence.append(competitor_data)
+        
+        # Share competitor insights with content and link authority agents
+        await self.send_message(
+            recipient="content_seo",
+            content=f"Competitor insights: {competitor_data}",
+            message_type="info"
+        )
+        
+        await self.send_message(
+            recipient="link_authority",
+            content=f"Competitor insights: {competitor_data}",
+            message_type="info"
+        )
+    
+    async def coordinate_activities(self):
+        """Coordinate activities between different SEO agents"""
+        logger.info(f"{self.name} coordinating activities...")
+        
+        # Determine if any coordination is needed
+        coordination_needed = [
+            {"agents": ["content_seo", "tech_seo"], "action": "align_content_with_technical_constraints"},
+            {"agents": ["link_authority", "content_seo"], "action": "coordinate_linkable_asset_creation"}
+        ]
+        
+        for coord in coordination_needed:
+            await self.send_message(
+                recipient=coord["agents"][0],
+                content=f"Coordination required with {coord['agents'][1]}: {coord['action']}",
+                message_type="info"
+            )
+            
+            await self.send_message(
+                recipient=coord["agents"][1],
+                content=f"Coordination required with {coord['agents'][0]}: {coord['action']}",
+                message_type="info"
+            )
+    
+    async def _execute_task_logic(self, task: Task) -> Dict[str, Any]:
+        """Execute specific task logic for SEO Director agent"""
+        if task.type == "pipeline_monitoring":
+            await self.monitor_seo_pipeline()
+            return {"status": "completed", "result": self.seo_pipeline[-1] if self.seo_pipeline else {}}
+        elif task.type == "performance_tracking":
+            await self.track_performance()
+            return {"status": "completed", "result": self.performance_tracking}
+        elif task.type == "competitor_analysis":
+            await self.gather_competitor_intel()
+            return {"status": "completed", "result": self.competitor_intelligence[-1] if self.competitor_intelligence else {}}
+        else:
+            return {"status": "error", "message": f"Unknown task type: {task.type}"}