"""
Link Graph Agent implementation.
"""
from typing import List, Dict, Any, Optional
from datetime import datetime
from loguru import logger
from .base import SIFBaseAgent
from services.intelligence.agents.core_agent_framework import TaskProposal
from services.intelligence.txtai_service import TxtaiIntelligenceService

class LinkGraphAgent(SIFBaseAgent):
    """Agent for internal linking and graph optimization."""
    
    def __init__(self, intelligence_service: TxtaiIntelligenceService, user_id: str, **kwargs):
        super().__init__(intelligence_service, user_id, agent_type="link_graph_expert", **kwargs)

    async def analyze_graph(self) -> Dict[str, Any]:
        """Analyze the knowledge graph structure of the content."""
        if not self.intelligence.is_initialized():
            return {}
            
        try:
            # Construct a graph from semantic relationships
            graph = await self.intelligence.construct_graph()
            
            # Identify isolated nodes (orphaned content)
            orphans = [] # self._find_orphans(graph)
            
            # Identify central nodes (pillars)
            hubs = [] # self._find_hubs(graph)
            
            return {
                "node_count": 0, # graph.number_of_nodes(),
                "edge_count": 0, # graph.number_of_edges(),
                "orphaned_content": orphans,
                "content_hubs": hubs
            }
        except Exception as e:
            logger.error(f"[{self.__class__.__name__}] Graph analysis failed: {e}")
            return {}

    async def propose_daily_tasks(self, context: Dict[str, Any]) -> List[TaskProposal]:
        """Propose internal linking tasks."""
        proposals = []
        
        # 1. Internal Link Opportunity
        proposals.append(TaskProposal(
            title="Internal Linking Review",
            description="Add internal links to your new post 'Content Strategy 101'.",
            pillar_id="create",
            priority="medium",
            estimated_time=15,
            source_agent="LinkGraphAgent",
            reasoning="Improves SEO and user navigation.",
            action_type="navigate",
            action_url="/content-planning-dashboard"
        ))
        
        return proposals
