import time
from collections import defaultdict

class MetricsAggregator:
    def __init__(self, fps=25.0):
        self.fps = fps
        self.per_id = defaultdict(lambda: {
            'frames_present': 0,
            'frames_in_corridor': 0,
            'frames_on_phone': 0,
            'frames_chatting': 0,
        })

    def step(self, tracks, in_corridor_ids, phone_ids, chatting_ids):
        for tid in tracks.keys():
            self.per_id[tid]['frames_present'] += 1
            if tid in in_corridor_ids:
                self.per_id[tid]['frames_in_corridor'] += 1
            if tid in phone_ids:
                self.per_id[tid]['frames_on_phone'] += 1
            if tid in chatting_ids:
                self.per_id[tid]['frames_chatting'] += 1

    def summarize_minutes(self):
        out = {}
        for tid, m in self.per_id.items():
            out[tid] = {
                'present_min': round(m['frames_present'] / self.fps / 60.0, 2),
                'corridor_min': round(m['frames_in_corridor'] / self.fps / 60.0, 2),
                'phone_min': round(m['frames_on_phone'] / self.fps / 60.0, 2),
                'chat_min': round(m['frames_chatting'] / self.fps / 60.0, 2),
            }
        return out