"""
Citation Expert 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 CitationExpert(SIFBaseAgent):
    """Agent for fact-checking and source management."""
    
    def __init__(self, intelligence_service: TxtaiIntelligenceService, user_id: str, **kwargs):
        super().__init__(intelligence_service, user_id, agent_type="citation_expert", **kwargs)

    async def verify_citations(self, content: str) -> Dict[str, Any]:
        """Verify citations in content against trusted sources."""
        # Simple extraction for now
        # Could use LLM to extract claims and verify against knowledge base
        return {
            "verified_claims": [],
            "unverified_claims": [],
            "missing_citations": []
        }

    async def propose_daily_tasks(self, context: Dict[str, Any]) -> List[TaskProposal]:
        """Propose fact-checking tasks."""
        proposals = []
        
        # 1. Fact Check High-Value Content
        proposals.append(TaskProposal(
            title="Verify Sources for 'AI Trends 2025'",
            description="Double-check statistical claims in your latest draft.",
            pillar_id="create",
            priority="medium",
            estimated_time=20,
            source_agent="CitationExpert",
            reasoning="Ensures credibility and trust.",
            action_type="navigate",
            action_url="/content-planning-dashboard"
        ))
        
        return proposals
