Upload agents/content_seo_agent.py with huggingface_hub

agents/content_seo_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 ContentSEOSemanticAgent(BaseAgent):
+    """Content & Semantic SEO Agent responsible for content creation and optimization"""
+    
+    def __init__(self, config: AgentConfig):
+        super().__init__(config)
+        self.content_calendar = []
+        self.topical_clusters = {}
+        self.eeat_optimizations = []
+        self.content_performance = {}
+        
+    async def execute(self):
+        """Execute content and semantic SEO functions"""
+        logger.info(f"{self.name} executing content and semantic SEO...")
+        
+        # Generate SEO-optimized content
+        await self.generate_content()
+        
+        # Build topical authority clusters
+        await self.build_topical_clusters()
+        
+        # Optimize for E-E-A-T
+        await self.optimize_eat()
+        
+        # Track content performance
+        await self.track_performance()
+    
+    async def generate_content(self):
+        """Generate SEO-optimized content"""
+        logger.info(f"{self.name} generating SEO-optimized content...")
+        
+        # In a real implementation, this would generate actual content
+        # For now, we'll simulate content generation
+        content_pieces = [
+            {
+                "title": "Best Practices for Local SEO in 2024",
+                "keywords": ["local seo", "google my business", "local ranking"],
+                "word_count": 2500,
+                "status": "draft"
+            },
+            {
+                "title": "How to Improve Page Speed for Better Rankings",
+                "keywords": ["page speed", "core web vitals", "site performance"],
+                "word_count": 3200,
+                "status": "draft"
+            },
+            {
+                "title": "Complete Guide to E-E-A-T Optimization",
+                "keywords": ["e-e-a-t", "expertise", "authoritativeness"],
+                "word_count": 4100,
+                "status": "draft"
+            }
+        ]
+        
+        # Add to content calendar
+        self.content_calendar.extend(content_pieces)
+        
+        # Log content generation
+        logger.info(f"Generated {len(content_pieces)} content pieces")
+    
+    async def build_topical_clusters(self):
+        """Build topical authority clusters"""
+        logger.info(f"{self.name} building topical authority clusters...")
+        
+        # Simulate topical cluster creation
+        topical_clusters = {
+            "local_seo": {
+                "pillar": "Complete Guide to Local SEO",
+                "cluster_topics": [
+                    "Google My Business Optimization",
+                    "Local Citation Building",
+                    "Review Generation Strategies",
+                    "Local Link Building Tactics"
+                ],
+                "interlinking_pattern": "hub_and_spoke"
+            },
+            "technical_seo": {
+                "pillar": "Technical SEO Fundamentals",
+                "cluster_topics": [
+                    "Site Speed Optimization",
+                    "Mobile-Friendliness",
+                    "Schema Markup",
+                    "Indexation Issues"
+                ],
+                "interlinking_pattern": "hub_and_spoke"
+            }
+        }
+        
+        self.topical_clusters.update(topical_clusters)
+        
+        # Log topical clusters
+        logger.info(f"Created {len(topical_clusters)} topical clusters")
+    
+    async def optimize_eat(self):
+        """Optimize content for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)"""
+        logger.info(f"{self.name} optimizing for E-E-A-T...")
+        
+        # Simulate E-E-A-T optimizations
+        eat_optimizations = [
+            {"type": "author_bio", "improvement": "add_authoritative_author_bios"},
+            {"type": "citation", "improvement": "add_fact_checking_sources"},
+            {"type": "transparency", "improvement": "add_about_us_contact_info"},
+            {"type": "experience", "improvement": "add_user_generated_content"}
+        ]
+        
+        self.eeat_optimizations.extend(eat_optimizations)
+        
+        # Log E-E-A-T optimizations
+        logger.info(f"Applied {len(eat_optimizations)} E-E-A-T optimizations")
+    
+    async def track_performance(self):
+        """Track content performance metrics"""
+        logger.info(f"{self.name} tracking content performance...")
+        
+        # Simulate content performance tracking
+        performance_data = {
+            "content_pieces_created": len(self.content_calendar),
+            "avg_time_to_rank": "45_days",
+            "traffic_increase": "+23%",
+            "engagement_rate": "4.2%"
+        }
+        
+        self.content_performance.update(performance_data)
+        
+        # Send performance data to SEO Director
+        await self.send_message(
+            recipient="seo_director",
+            content=f"Content performance report: {performance_data}",
+            message_type="info"
+        )
+    
+    async def _execute_task_logic(self, task: Task) -> Dict[str, Any]:
+        """Execute specific task logic for Content & Semantic SEO agent"""
+        if task.type == "generate_content":
+            await self.generate_content()
+            return {"status": "completed", "result": self.content_calendar[-1] if self.content_calendar else {}}
+        elif task.type == "build_clusters":
+            await self.build_topical_clusters()
+            return {"status": "completed", "result": self.topical_clusters}
+        elif task.type == "optimize_eat":
+            await self.optimize_eat()
+            return {"status": "completed", "result": self.eeat_optimizations}
+        else:
+            return {"status": "error", "message": f"Unknown task type: {task.type}"}