ruff
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@@ -11,6 +11,7 @@ from collections import defaultdict
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logger = get_logger("relation")
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# 暂时弃用,改为实时更新
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class ImpressionUpdateTask(AsyncTask):
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def __init__(self):
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@@ -25,10 +26,10 @@ class ImpressionUpdateTask(AsyncTask):
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# 获取最近的消息
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current_time = int(time.time())
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start_time = current_time - global_config.relationship.build_relationship_interval # 100分钟前
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# 获取所有消息
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messages = get_raw_msg_by_timestamp(timestamp_start=start_time, timestamp_end=current_time)
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if not messages:
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logger.info("没有找到需要处理的消息")
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return
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@@ -48,7 +49,7 @@ class ImpressionUpdateTask(AsyncTask):
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if len(msgs) < 30:
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logger.info(f"聊天组 {chat_id} 消息数小于30,跳过处理")
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continue
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chat_stream = chat_manager.get_stream(chat_id)
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if not chat_stream:
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logger.warning(f"未找到聊天组 {chat_id} 的chat_stream,跳过处理")
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@@ -56,26 +57,26 @@ class ImpressionUpdateTask(AsyncTask):
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# 找到bot的消息
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bot_messages = [msg for msg in msgs if msg["user_nickname"] == global_config.bot.nickname]
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if not bot_messages:
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logger.info(f"聊天组 {chat_id} 没有bot消息,跳过处理")
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continue
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# 按时间排序所有消息
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sorted_messages = sorted(msgs, key=lambda x: x["time"])
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# 找到第一条和最后一条bot消息
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first_bot_msg = bot_messages[0]
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last_bot_msg = bot_messages[-1]
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# 获取第一条bot消息前15条消息
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first_bot_index = sorted_messages.index(first_bot_msg)
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start_index = max(0, first_bot_index - 25)
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# 获取最后一条bot消息后15条消息
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last_bot_index = sorted_messages.index(last_bot_msg)
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end_index = min(len(sorted_messages), last_bot_index + 26)
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# 获取相关消息
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relevant_messages = sorted_messages[start_index:end_index]
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@@ -85,7 +86,9 @@ class ImpressionUpdateTask(AsyncTask):
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# 计算权重
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for bot_msg in bot_messages:
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bot_time = bot_msg["time"]
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context_messages = [msg for msg in relevant_messages if abs(msg["time"] - bot_time) <= 600] # 前后10分钟
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context_messages = [
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msg for msg in relevant_messages if abs(msg["time"] - bot_time) <= 600
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] # 前后10分钟
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logger.debug(f"Bot消息 {bot_time} 的上下文消息数: {len(context_messages)}")
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for msg in context_messages:
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@@ -121,7 +124,7 @@ class ImpressionUpdateTask(AsyncTask):
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weights = [user[1]["weight"] for user in sorted_users]
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total_weight = sum(weights)
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# 计算每个用户的概率
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probabilities = [w/total_weight for w in weights]
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probabilities = [w / total_weight for w in weights]
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# 使用累积概率进行选择
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selected_indices = []
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remaining_indices = list(range(len(sorted_users)))
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@@ -131,12 +134,12 @@ class ImpressionUpdateTask(AsyncTask):
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# 计算剩余索引的累积概率
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remaining_probs = [probabilities[i] for i in remaining_indices]
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# 归一化概率
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remaining_probs = [p/sum(remaining_probs) for p in remaining_probs]
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remaining_probs = [p / sum(remaining_probs) for p in remaining_probs]
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# 选择索引
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chosen_idx = random.choices(remaining_indices, weights=remaining_probs, k=1)[0]
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selected_indices.append(chosen_idx)
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remaining_indices.remove(chosen_idx)
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selected_users = [sorted_users[i] for i in selected_indices]
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logger.info(
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f"开始进一步了解这些用户: {[msg[1]['messages'][0]['user_nickname'] for msg in selected_users]}"
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@@ -153,19 +156,16 @@ class ImpressionUpdateTask(AsyncTask):
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platform = data["messages"][0]["chat_info_platform"]
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user_id = data["messages"][0]["user_id"]
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cardname = data["messages"][0]["user_cardname"]
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is_known = await relationship_manager.is_known_some_one(platform, user_id)
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if not is_known:
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logger.info(f"首次认识用户: {user_nickname}")
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await relationship_manager.first_knowing_some_one(platform, user_id, user_nickname, cardname)
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logger.info(f"开始更新用户 {user_nickname} 的印象")
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await relationship_manager.update_person_impression(
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person_id=person_id,
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timestamp=last_bot_msg["time"],
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bot_engaged_messages=relevant_messages
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person_id=person_id, timestamp=last_bot_msg["time"], bot_engaged_messages=relevant_messages
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)
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logger.debug("印象更新任务执行完成")
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