🤖 自动格式化代码 [skip ci]
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@@ -478,7 +478,6 @@ class StatisticOutputTask(AsyncTask):
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HFC_AVG_TIME_BY_ACTION: defaultdict(lambda: {"decision": 0, "action": 0, "total": 0}),
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HFC_AVG_TIME_BY_VERSION: defaultdict(lambda: {"decision": 0, "action": 0, "total": 0}),
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HFC_ACTIONS_BY_CHAT: defaultdict(lambda: defaultdict(int)), # 群聊×动作交叉统计
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}
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for period_key, _ in collect_period
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}
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@@ -493,11 +492,11 @@ class StatisticOutputTask(AsyncTask):
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return stats
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# 读取HFC统计数据
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with open(hfc_stats_file, 'r', encoding='utf-8') as f:
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with open(hfc_stats_file, "r", encoding="utf-8") as f:
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hfc_data = json.load(f)
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# 处理每个chat_id和版本的统计数据
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for stats_key, chat_stats in hfc_data.items():
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for _stats_key, chat_stats in hfc_data.items():
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chat_id = chat_stats.get("chat_id", "unknown")
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version = chat_stats.get("version", "unknown")
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last_updated_str = chat_stats.get("last_updated")
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@@ -507,7 +506,7 @@ class StatisticOutputTask(AsyncTask):
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# 解析最后更新时间
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try:
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last_updated = datetime.fromisoformat(last_updated_str.replace('Z', '+00:00'))
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last_updated = datetime.fromisoformat(last_updated_str.replace("Z", "+00:00"))
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if last_updated.tzinfo:
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last_updated = last_updated.replace(tzinfo=None)
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except:
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@@ -558,11 +557,26 @@ class StatisticOutputTask(AsyncTask):
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# 累加时间统计(用于后续计算加权平均)
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# 这里我们需要重新设计数据结构来存储累计值
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if chat_id not in stats[period_key][HFC_AVG_TIME_BY_CHAT]:
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stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id] = {"decision": 0, "action": 0, "total": 0, "count": 0}
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stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id] = {
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"decision": 0,
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"action": 0,
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"total": 0,
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"count": 0,
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}
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if action_type not in stats[period_key][HFC_AVG_TIME_BY_ACTION]:
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stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type] = {"decision": 0, "action": 0, "total": 0, "count": 0}
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stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type] = {
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"decision": 0,
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"action": 0,
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"total": 0,
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"count": 0,
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}
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if version not in stats[period_key][HFC_AVG_TIME_BY_VERSION]:
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stats[period_key][HFC_AVG_TIME_BY_VERSION][version] = {"decision": 0, "action": 0, "total": 0, "count": 0}
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stats[period_key][HFC_AVG_TIME_BY_VERSION][version] = {
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"decision": 0,
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"action": 0,
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"total": 0,
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"count": 0,
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}
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# 累加加权值(时间*数量)
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stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id]["decision"] += decision_time * total_records
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@@ -570,7 +584,9 @@ class StatisticOutputTask(AsyncTask):
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stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id]["total"] += total_time * total_records
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stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id]["count"] += total_records
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stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["decision"] += action_decision_time * count
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stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["decision"] += (
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action_decision_time * count
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)
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stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["action"] += action_exec_time * count
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stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["total"] += action_total_time * count
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stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["count"] += count
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@@ -593,7 +609,7 @@ class StatisticOutputTask(AsyncTask):
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stats[period_key][stat_type][key] = {
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"decision": time_data["decision"] / count,
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"action": time_data["action"] / count,
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"total": time_data["total"] / count
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"total": time_data["total"] / count,
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}
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else:
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stats[period_key][stat_type][key] = {"decision": 0, "action": 0, "total": 0}
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@@ -652,7 +668,11 @@ class StatisticOutputTask(AsyncTask):
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# 是字典类型,则进行合并
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for sub_key, sub_val in val.items():
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# 检查是否是HFC的嵌套字典时间数据
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if key in [HFC_AVG_TIME_BY_CHAT, HFC_AVG_TIME_BY_ACTION, HFC_AVG_TIME_BY_VERSION] and isinstance(sub_val, dict):
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if key in [
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HFC_AVG_TIME_BY_CHAT,
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HFC_AVG_TIME_BY_ACTION,
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HFC_AVG_TIME_BY_VERSION,
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] and isinstance(sub_val, dict):
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# 对于HFC时间数据,需要特殊处理
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if sub_key not in stat["all_time"][key]:
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stat["all_time"][key][sub_key] = {"decision": 0, "action": 0, "total": 0, "count": 0}
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@@ -699,7 +719,7 @@ class StatisticOutputTask(AsyncTask):
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"decision": time_data["decision"] / count,
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"action": time_data["action"] / count,
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"total": time_data["total"] / count,
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"count": count # 保留count字段
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"count": count, # 保留count字段
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}
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stat["all_time"][stat_type][key] = avg_data
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else:
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@@ -1170,15 +1190,16 @@ class StatisticOutputTask(AsyncTask):
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try:
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# 首先尝试从chat_stream获取真实群组名称
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from src.chat.message_receive.chat_stream import get_chat_manager
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chat_manager = get_chat_manager()
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if chat_id in chat_manager.streams:
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stream = chat_manager.streams[chat_id]
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if stream.group_info and hasattr(stream.group_info, 'group_name'):
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if stream.group_info and hasattr(stream.group_info, "group_name"):
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group_name = stream.group_info.group_name
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if group_name and group_name.strip():
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return group_name.strip()
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elif stream.user_info and hasattr(stream.user_info, 'user_nickname'):
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elif stream.user_info and hasattr(stream.user_info, "user_nickname"):
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user_name = stream.user_info.user_nickname
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if user_name and user_name.strip():
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return user_name.strip()
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@@ -1364,11 +1385,7 @@ class StatisticOutputTask(AsyncTask):
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sections = []
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# 定义要显示的时间段及其描述(所有时间在最上方)
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time_periods = [
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("all_time", "全部时间"),
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("last_24_hours", "最近24小时"),
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("last_7_days", "最近7天")
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]
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time_periods = [("all_time", "全部时间"), ("last_24_hours", "最近24小时"), ("last_7_days", "最近7天")]
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for period_key, period_desc in time_periods:
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period_data = stat.get(period_key, {})
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