from collections import defaultdict
from datetime import datetime

class AnalyticsTracker:
    def __init__(self):
        self.intent_counts = defaultdict(int)
        self.total_queries = 0
        self.recent_queries = []  # stores last 10 queries
    
    def log(self, text: str, intent: str, confidence: float):
        self.intent_counts[intent] += 1
        self.total_queries += 1
        self.recent_queries.append({
            "text": text,
            "intent": intent,
            "confidence": confidence,
            "timestamp": datetime.now().strftime("%H:%M:%S")
        })
        # keep only last 10
        if len(self.recent_queries) > 10:
            self.recent_queries.pop(0)
    
    def get_top_intents(self, n=10):
        sorted_intents = sorted(
            self.intent_counts.items(),
            key=lambda x: x[1],
            reverse=True
        )
        return sorted_intents[:n]
    
    def get_summary(self):
        return {
            "total_queries": self.total_queries,
            "unique_intents_seen": len(self.intent_counts),
            "top_intents": [
                {"intent": k, "count": v}
                for k, v in self.get_top_intents()
            ],
            "recent_queries": self.recent_queries
        }

# Singleton
tracker = AnalyticsTracker()