"""LLM processor for content analysis and summarization."""

from typing import Any, Dict, List


class LLMProcessor:
    """Processes content using LLM for analysis and summarization."""
    
    def __init__(self, provider: str = 'openai'):
        """Initialize LLM processor.
        
        Args:
            provider: LLM provider name
        """
        self.provider = provider
    
    def analyze(self, content: str) -> Dict[str, Any]:
        """Analyze content quality and relevance.
        
        Args:
            content: Text content to analyze
            
        Returns:
            Analysis results with quality score, relevance, and topics
        """
        # Placeholder - implement actual LLM integration
        return {
            'quality_score': 0.7,
            'relevance': 'high',
            'topics': ['technology', 'tutorial'],
            'summary': content[:200] + '...' if len(content) > 200 else content
        }
    
    def summarize(self, content: str, max_length: int = 500) -> str:
        """Generate summary of content.
        
        Args:
            content: Text content to summarize
            max_length: Maximum summary length
            
        Returns:
            Summarized text
        """
        # Placeholder - implement actual LLM summarization
        if len(content) <= max_length:
            return content
        return content[:max_length] + "..."
    
    def generate_tags(self, content: str, title: str = '') -> List[str]:
        """Generate tags for content.
        
        Args:
            content: Text content
            title: Content title
            
        Returns:
            List of suggested tags
        """
        # Placeholder - implement actual tag generation
        return ['imported', 'unread']