Upload agents/tech_seo_agent.py with huggingface_hub

agents/tech_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 requests
+from bs4 import BeautifulSoup
+import lxml
+from datetime import datetime
+
+logger = logging.getLogger(__name__)
+
+
+class TechnicalSEOAgent(BaseAgent):
+    """Technical SEO Agent responsible for website audits and fixes"""
+    
+    def __init__(self, config: AgentConfig):
+        super().__init__(config)
+        self.audit_results = []
+        self.fix_recommendations = []
+        self.site_structure_data = {}
+        
+    async def execute(self):
+        """Execute technical SEO functions"""
+        logger.info(f"{self.name} executing technical SEO audits...")
+        
+        # Perform website audits
+        await self.perform_audits()
+        
+        # Generate fix recommendations
+        await self.generate_fixes()
+        
+        # Monitor site structure
+        await self.monitor_structure()
+        
+        # Report findings to SEO Director
+        await self.report_findings()
+    
+    async def perform_audits(self):
+        """Perform comprehensive website audits"""
+        logger.info(f"{self.name} performing technical audits...")
+        
+        # In a real implementation, this would audit actual websites
+        # For now, we'll simulate audit results
+        audit_results = {
+            "site_speed": {"score": 85, "issues": ["large_image_sizes", "missing_caching"]},
+            "mobile_friendly": {"status": "pass", "details": "responsive_design_ok"},
+            "schema_markup": {"issues": ["missing_breadcrumb_schema", "incomplete_product_schema"]},
+            "indexation": {"issues": ["blocked_by_robots_txt", "crawl_errors"]},
+            "security": {"status": "secure", "https": True},
+            "structured_data": {"errors": [], "warnings": ["optional_fields_missing"]}
+        }
+        
+        self.audit_results.append(audit_results)
+        
+        # Log audit results
+        logger.info(f"Audit results: {audit_results}")
+    
+    async def generate_fixes(self):
+        """Generate actionable fix recommendations"""
+        logger.info(f"{self.name} generating fix recommendations...")
+        
+        # Based on audit results, generate fixes
+        fix_recommendations = [
+            {"type": "html", "priority": "high", "description": "Add missing schema markup", "file": "product.html"},
+            {"type": "sitemap", "priority": "medium", "description": "Update sitemap.xml with new pages", "file": "sitemap.xml"},
+            {"type": "robots", "priority": "high", "description": "Fix robots.txt blocking issues", "file": "robots.txt"},
+            {"type": "internal_links", "priority": "medium", "description": "Improve internal linking structure", "action": "update_navigation"}
+        ]
+        
+        self.fix_recommendations.extend(fix_recommendations)
+        
+        # Log fix recommendations
+        logger.info(f"Fix recommendations: {fix_recommendations}")
+    
+    async def monitor_structure(self):
+        """Monitor site structure and architecture"""
+        logger.info(f"{self.name} monitoring site structure...")
+        
+        # Simulate structure analysis
+        structure_data = {
+            "url_depth": {"avg": 2.5, "max": 4},
+            "internal_links": {"avg_per_page": 15, "total_site": 2500},
+            "broken_links": {"count": 3, "urls": ["/page1", "/page2", "/page3"]},
+            "duplicate_content": {"pages": ["/duplicate1", "/duplicate2"], "similarity_score": [0.95, 0.89]}
+        }
+        
+        self.site_structure_data.update(structure_data)
+        
+        # Log structure data
+        logger.info(f"Site structure: {structure_data}")
+    
+    async def report_findings(self):
+        """Report audit findings to other agents"""
+        logger.info(f"{self.name} reporting findings...")
+        
+        # Send audit results to SEO Director
+        await self.send_message(
+            recipient="seo_director",
+            content=f"Technical audit complete: {len(self.audit_results)} audits performed",
+            message_type="info"
+        )
+        
+        # Send fix recommendations to automation ops
+        await self.send_message(
+            recipient="automation_ops",
+            content=f"Fix recommendations ready: {len(self.fix_recommendations)} items",
+            message_type="info"
+        )
+    
+    async def _execute_task_logic(self, task: Task) -> Dict[str, Any]:
+        """Execute specific task logic for Technical SEO agent"""
+        if task.type == "website_audit":
+            await self.perform_audits()
+            return {"status": "completed", "result": self.audit_results[-1] if self.audit_results else {}}
+        elif task.type == "generate_fixes":
+            await self.generate_fixes()
+            return {"status": "completed", "result": self.fix_recommendations}
+        elif task.type == "monitor_structure":
+            await self.monitor_structure()
+            return {"status": "completed", "result": self.site_structure_data}
+        else:
+            return {"status": "error", "message": f"Unknown task type: {task.type}"}