import logging

logger = logging.getLogger(__name__)

class SocialAgent:
    def analyze(self, sentiment: dict, mention_trend: float = 1.0) -> float:
        total = sentiment.get("total", 0)
        if total == 0:
            return 50.0
        try:
            pos = sentiment.get("positive", 0)
            ratio = pos / total
            sentiment_score = ratio * 100

            if mention_trend > 2.0:
                trend_bonus = 15
            elif mention_trend > 1.5:
                trend_bonus = 10
            elif mention_trend > 1.0:
                trend_bonus = 5
            elif mention_trend < 0.5:
                trend_bonus = -10
            else:
                trend_bonus = 0

            if ratio < 0.4 and mention_trend > 1.5:
                trend_bonus = -15

            score = sentiment_score + trend_bonus
            return round(max(0, min(100, score)), 1)
        except Exception as e:
            logger.error(f"Social analysis error: {e}")
            return 50.0