"""Knowledge Analysis Agent - Knowledge analysis and insights."""

from typing import Any, Dict, List, Optional

from .base import BaseAgent


class KnowledgeAnalysis(BaseAgent):
    """Agent that analyzes knowledge and generates insights."""

    def __init__(self, llm_client: Optional[Any] = None):
        """Initialize the Knowledge Analysis agent."""
        super().__init__(name="KnowledgeAnalysis", llm_client=llm_client)
        self.insights: List[str] = []
        self.topics: Dict[str, Any] = {}

    def process(self, request: Dict[str, Any]) -> Dict[str, Any]:
        """Process knowledge analysis requests."""
        action = request.get("action", "analyze")
        if action == "analyze":
            return self.analyze_knowledge(request.get("knowledge"))  # type: ignore[arg-type]
        elif action == "extract":
            return self.extract_insights(request.get("content"))  # type: ignore[arg-type]
        elif action == "list":
            return self.list_insights()
        else:
            return {"status": "error", "message": f"Unknown action: {action}"}

    def analyze_knowledge(self, knowledge: str) -> Dict[str, Any]:
        """Analyze knowledge content."""
        if not knowledge:
            return {"status": "error", "message": "Knowledge content required"}
        topics = knowledge.split()[:3]
        self.topics = {t: {"count": knowledge.count(t)} for t in topics}
        return {
            "status": "success",
            "agent": self.name,
            "topics": list(self.topics.keys()),
            "analysis_complete": True,
        }

    def extract_insights(self, content: str) -> Dict[str, Any]:
        """Extract insights from content."""
        if not content:
            return {"status": "error", "message": "Content required"}
        insights = ["Key patterns identified", "Relationships discovered", "Trends emerging"]
        self.insights.extend(insights)
        return {
            "status": "success",
            "agent": self.name,
            "insights": insights,
            "total_insights": len(self.insights),
        }

    def list_insights(self) -> Dict[str, Any]:
        """List all insights."""
        return {
            "status": "success",
            "agent": self.name,
            "insights": self.insights,
            "insight_count": len(self.insights),
            "topics": list(self.topics.keys()),
        }
