Update Render build configuration: fix deps, force py3.11, add build script

backend/services/intelligence/agents/specialized/seo_optimization.py

@@ -0,0 +1,128 @@
+"""
+SEO Optimization Agent implementation.
+"""
+from typing import Dict, Any, List, Optional
+from datetime import datetime
+from loguru import logger
+from .base import SIFBaseAgent, TXTAI_AVAILABLE, Agent
+from services.intelligence.agents.core_agent_framework import BaseALwrityAgent, TaskProposal
+
+try:
+    from services.intelligence.sif_integration import SIFIntegrationService
+    SIF_AVAILABLE = True
+except ImportError:
+    SIF_AVAILABLE = False
+
+class SEOOptimizationAgent(BaseALwrityAgent):
+    """
+    Agent responsible for technical SEO, keyword strategy, and performance optimization.
+    """
+    
+    def __init__(self, user_id: str, shared_llm_name: str, llm: Any = None, **kwargs):
+        super().__init__(user_id, "seo_specialist", shared_llm_name, llm, **kwargs)
+        
+        self.sif_service = None
+        if SIF_AVAILABLE:
+            try:
+                self.sif_service = SIFIntegrationService(user_id)
+            except Exception as e:
+                logger.warning(f"Failed to initialize SIF service for SEOOptimizationAgent: {e}")
+
+    def _create_txtai_agent(self):
+        """Create a specialized txtai Agent for SEO optimization."""
+        if not TXTAI_AVAILABLE or Agent is None:
+            return None
+            
+        _llm_for_agent = getattr(self.llm, "llm", self.llm)
+        return Agent(
+            tools=[
+                {
+                    "name": "seo_auditor",
+                    "description": "Performs comprehensive SEO audits",
+                    "target": self._seo_auditor_tool
+                },
+                {
+                    "name": "keyword_researcher",
+                    "description": "Researches high-potential keywords",
+                    "target": self._keyword_researcher_tool
+                },
+                {
+                    "name": "on_page_optimizer",
+                    "description": "Optimizes on-page elements",
+                    "target": self._on_page_optimizer_tool
+                },
+                {
+                    "name": "technical_fixer",
+                    "description": "Fixes technical SEO issues",
+                    "target": self._technical_fixer_tool
+                }
+            ],
+            llm=_llm_for_agent,
+            max_iterations=15,
+            # Removed unsupported 'system' argument
+            # Instruction will be provided via orchestrator context or initial prompt
+            # Instruction should be provided during invocation or via orchestrator context
+        )
+    
+    # Tool Implementations
+    
+    def _seo_auditor_tool(self, context: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        SEO audit tool that retrieves existing SEO data via SIF.
+        
+        Args:
+            context: Dictionary containing 'website_url' to audit.
+        """
+        # Stub implementation
+        return {"health": "good", "issues": []}
+
+    def _keyword_researcher_tool(self, context: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Keyword research tool.
+        
+        Args:
+            context: Dictionary containing 'seed_keywords' or 'topic'.
+        """
+        # Stub implementation
+        return {"keywords": []}
+
+    def _on_page_optimizer_tool(self, context: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        On-page optimization tool.
+        
+        Args:
+            context: Dictionary containing 'url' and 'target_keyword'.
+        """
+        # Stub implementation
+        return {"optimized": True}
+
+    def _technical_fixer_tool(self, context: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Technical SEO fixer tool.
+        
+        Args:
+            context: Dictionary containing 'issue_id' to fix.
+        """
+        # Stub implementation
+        return {"fixed": True}
+
+    async def propose_daily_tasks(self, context: Dict[str, Any]) -> List[TaskProposal]:
+        """
+        Propose SEO-focused tasks.
+        """
+        proposals = []
+        
+        # 1. Quick SEO Win
+        proposals.append(TaskProposal(
+            title="Fix Broken Links",
+            description="3 internal links on 'About Us' page are broken.",
+            pillar_id="distribute",
+            priority="high",
+            estimated_time=10,
+            source_agent="SEOOptimizationAgent",
+            reasoning="Easy technical win.",
+            action_type="navigate",
+            action_url="/content-planning-dashboard"
+        ))
+        
+        return proposals