remove：人格的兴趣配置项移动到planner prompt中

scripts/replyer_action_stats.py

@@ -0,0 +1,304 @@
+"""
+统计和展示 replyer 动作选择记录
+
+用法:
+    python scripts/replyer_action_stats.py
+"""
+
+import json
+import os
+import sys
+from collections import Counter, defaultdict
+from datetime import datetime
+from typing import Dict, List, Any
+from pathlib import Path
+
+# Add project root to Python path
+project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+sys.path.insert(0, project_root)
+
+try:
+    from src.common.database.database_model import ChatStreams
+    from src.chat.message_receive.chat_stream import get_chat_manager
+except ImportError:
+    ChatStreams = None
+    get_chat_manager = None
+
+
+def get_chat_name(chat_id: str) -> str:
+    """根据 chat_id 获取聊天名称"""
+    try:
+        if ChatStreams:
+            chat_stream = ChatStreams.get_or_none(ChatStreams.stream_id == chat_id)
+            if chat_stream:
+                if chat_stream.group_name:
+                    return f"{chat_stream.group_name}"
+                elif chat_stream.user_nickname:
+                    return f"{chat_stream.user_nickname}的私聊"
+        
+        if get_chat_manager:
+            chat_manager = get_chat_manager()
+            stream_name = chat_manager.get_stream_name(chat_id)
+            if stream_name:
+                return stream_name
+        
+        return f"未知聊天 ({chat_id[:8]}...)"
+    except Exception:
+        return f"查询失败 ({chat_id[:8]}...)"
+
+
+def load_records(temp_dir: str = "data/temp") -> List[Dict[str, Any]]:
+    """加载所有 replyer 动作记录"""
+    records = []
+    temp_path = Path(temp_dir)
+    
+    if not temp_path.exists():
+        print(f"目录不存在: {temp_dir}")
+        return records
+    
+    # 查找所有 replyer_action_*.json 文件
+    pattern = "replyer_action_*.json"
+    for file_path in temp_path.glob(pattern):
+        try:
+            with open(file_path, "r", encoding="utf-8") as f:
+                data = json.load(f)
+                records.append(data)
+        except Exception as e:
+            print(f"读取文件失败 {file_path}: {e}")
+    
+    # 按时间戳排序
+    records.sort(key=lambda x: x.get("timestamp", ""))
+    return records
+
+
+def format_timestamp(ts: str) -> str:
+    """格式化时间戳"""
+    try:
+        dt = datetime.fromisoformat(ts)
+        return dt.strftime("%Y-%m-%d %H:%M:%S")
+    except Exception:
+        return ts
+
+
+def calculate_time_distribution(records: List[Dict[str, Any]]) -> Dict[str, int]:
+    """计算时间分布"""
+    now = datetime.now()
+    distribution = {
+        "今天": 0,
+        "昨天": 0,
+        "3天内": 0,
+        "7天内": 0,
+        "30天内": 0,
+        "更早": 0,
+    }
+    
+    for record in records:
+        try:
+            ts = record.get("timestamp", "")
+            if not ts:
+                continue
+            dt = datetime.fromisoformat(ts)
+            diff = (now - dt).days
+            
+            if diff == 0:
+                distribution["今天"] += 1
+            elif diff == 1:
+                distribution["昨天"] += 1
+            elif diff < 3:
+                distribution["3天内"] += 1
+            elif diff < 7:
+                distribution["7天内"] += 1
+            elif diff < 30:
+                distribution["30天内"] += 1
+            else:
+                distribution["更早"] += 1
+        except Exception:
+            pass
+    
+    return distribution
+
+
+def print_statistics(records: List[Dict[str, Any]]):
+    """打印统计信息"""
+    if not records:
+        print("没有找到任何记录")
+        return
+    
+    print("=" * 80)
+    print("Replyer 动作选择记录统计")
+    print("=" * 80)
+    print()
+    
+    # 总记录数
+    total_count = len(records)
+    print(f"📊 总记录数: {total_count}")
+    print()
+    
+    # 时间范围
+    timestamps = [r.get("timestamp", "") for r in records if r.get("timestamp")]
+    if timestamps:
+        first_time = format_timestamp(min(timestamps))
+        last_time = format_timestamp(max(timestamps))
+        print(f"📅 时间范围: {first_time} ~ {last_time}")
+        print()
+    
+    # 按 think_level 统计
+    think_levels = [r.get("think_level", 0) for r in records]
+    think_level_counter = Counter(think_levels)
+    print("🧠 思考深度分布:")
+    for level in sorted(think_level_counter.keys()):
+        count = think_level_counter[level]
+        percentage = (count / total_count) * 100
+        level_name = {0: "不需要思考", 1: "简单思考", 2: "深度思考"}.get(level, f"未知({level})")
+        print(f"  Level {level} ({level_name}): {count} 次 ({percentage:.1f}%)")
+    print()
+    
+    # 按 chat_id 统计（总体）
+    chat_counter = Counter([r.get("chat_id", "未知") for r in records])
+    print(f"💬 聊天分布 (共 {len(chat_counter)} 个聊天):")
+    # 只显示前10个
+    for chat_id, count in chat_counter.most_common(10):
+        chat_name = get_chat_name(chat_id)
+        percentage = (count / total_count) * 100
+        print(f"  {chat_name}: {count} 次 ({percentage:.1f}%)")
+    if len(chat_counter) > 10:
+        print(f"  ... 还有 {len(chat_counter) - 10} 个聊天")
+    print()
+    
+    # 每个 chat_id 的详细统计
+    print("=" * 80)
+    print("每个聊天的详细统计")
+    print("=" * 80)
+    print()
+    
+    # 按 chat_id 分组记录
+    records_by_chat = defaultdict(list)
+    for record in records:
+        chat_id = record.get("chat_id", "未知")
+        records_by_chat[chat_id].append(record)
+    
+    # 按记录数排序
+    sorted_chats = sorted(records_by_chat.items(), key=lambda x: len(x[1]), reverse=True)
+    
+    for chat_id, chat_records in sorted_chats:
+        chat_name = get_chat_name(chat_id)
+        chat_count = len(chat_records)
+        chat_percentage = (chat_count / total_count) * 100
+        
+        print(f"📱 {chat_name} ({chat_id[:8]}...)")
+        print(f"   总记录数: {chat_count} ({chat_percentage:.1f}%)")
+        
+        # 该聊天的 think_level 分布
+        chat_think_levels = [r.get("think_level", 0) for r in chat_records]
+        chat_think_counter = Counter(chat_think_levels)
+        print("   思考深度分布:")
+        for level in sorted(chat_think_counter.keys()):
+            level_count = chat_think_counter[level]
+            level_percentage = (level_count / chat_count) * 100
+            level_name = {0: "不需要思考", 1: "简单思考", 2: "深度思考"}.get(level, f"未知({level})")
+            print(f"     Level {level} ({level_name}): {level_count} 次 ({level_percentage:.1f}%)")
+        
+        # 该聊天的时间范围
+        chat_timestamps = [r.get("timestamp", "") for r in chat_records if r.get("timestamp")]
+        if chat_timestamps:
+            first_time = format_timestamp(min(chat_timestamps))
+            last_time = format_timestamp(max(chat_timestamps))
+            print(f"   时间范围: {first_time} ~ {last_time}")
+        
+        # 该聊天的时间分布
+        chat_time_dist = calculate_time_distribution(chat_records)
+        print("   时间分布:")
+        for period, count in chat_time_dist.items():
+            if count > 0:
+                period_percentage = (count / chat_count) * 100
+                print(f"     {period}: {count} 次 ({period_percentage:.1f}%)")
+        
+        # 显示该聊天最近的一条理由示例
+        if chat_records:
+            latest_record = chat_records[-1]
+            reason = latest_record.get("reason", "无理由")
+            if len(reason) > 120:
+                reason = reason[:120] + "..."
+            timestamp = format_timestamp(latest_record.get("timestamp", ""))
+            think_level = latest_record.get("think_level", 0)
+            print(f"   最新记录 [{timestamp}] (Level {think_level}): {reason}")
+        
+        print()
+    
+    # 时间分布
+    time_dist = calculate_time_distribution(records)
+    print("⏰ 时间分布:")
+    for period, count in time_dist.items():
+        if count > 0:
+            percentage = (count / total_count) * 100
+            print(f"  {period}: {count} 次 ({percentage:.1f}%)")
+    print()
+    
+    # 显示一些示例理由
+    print("📝 示例理由 (最近5条):")
+    recent_records = records[-5:]
+    for i, record in enumerate(recent_records, 1):
+        reason = record.get("reason", "无理由")
+        think_level = record.get("think_level", 0)
+        timestamp = format_timestamp(record.get("timestamp", ""))
+        chat_id = record.get("chat_id", "未知")
+        chat_name = get_chat_name(chat_id)
+        
+        # 截断过长的理由
+        if len(reason) > 100:
+            reason = reason[:100] + "..."
+        
+        print(f"  {i}. [{timestamp}] {chat_name} (Level {think_level})")
+        print(f"     {reason}")
+        print()
+    
+    # 按 think_level 分组显示理由示例
+    print("=" * 80)
+    print("按思考深度分类的示例理由")
+    print("=" * 80)
+    print()
+    
+    for level in [0, 1, 2]:
+        level_records = [r for r in records if r.get("think_level") == level]
+        if not level_records:
+            continue
+        
+        level_name = {0: "不需要思考", 1: "简单思考", 2: "深度思考"}.get(level, f"未知({level})")
+        print(f"Level {level} ({level_name}) - 共 {len(level_records)} 条:")
+        
+        # 显示3个示例（选择最近的）
+        examples = level_records[-3:] if len(level_records) >= 3 else level_records
+        for i, record in enumerate(examples, 1):
+            reason = record.get("reason", "无理由")
+            if len(reason) > 150:
+                reason = reason[:150] + "..."
+            timestamp = format_timestamp(record.get("timestamp", ""))
+            chat_id = record.get("chat_id", "未知")
+            chat_name = get_chat_name(chat_id)
+            print(f"  {i}. [{timestamp}] {chat_name}")
+            print(f"     {reason}")
+        print()
+    
+    # 统计信息汇总
+    print("=" * 80)
+    print("统计汇总")
+    print("=" * 80)
+    print(f"总记录数: {total_count}")
+    print(f"涉及聊天数: {len(chat_counter)}")
+    if chat_counter:
+        avg_count = total_count / len(chat_counter)
+        print(f"平均每个聊天记录数: {avg_count:.1f}")
+    else:
+        print("平均每个聊天记录数: N/A")
+    print()
+
+
+def main():
+    """主函数"""
+    records = load_records()
+    print_statistics(records)
+
+
+if __name__ == "__main__":
+    main()
+

src/chat/brain_chat/brain_chat.py

@@ -311,7 +311,6 @@ class BrainChatting:
                 current_available_actions=available_actions,
                 chat_content_block=chat_content_block,
                 message_id_list=message_id_list,
-                interest=global_config.personality.interest,
                 prompt_key="brain_planner_prompt_react",
             )
             continue_flag, modified_message = await events_manager.handle_mai_events(

src/chat/brain_chat/brain_planner.py

@@ -40,7 +40,6 @@ def init_prompt():
         """
 {time_block}
 {name_block}
-你的兴趣是：{interest}
 {chat_context_description}，以下是具体的聊天内容
 
 **聊天内容**
@@ -305,7 +304,6 @@ class BrainPlanner:
             current_available_actions=filtered_actions,
             chat_content_block=chat_content_block,
             message_id_list=message_id_list,
-            interest=global_config.personality.interest,
             prompt_key=prompt_key,
         )
 

src/chat/heart_flow/heartFC_chat.py

@@ -375,7 +375,6 @@ class HeartFChatting:
                 current_available_actions=available_actions,
                 chat_content_block=chat_content_block,
                 message_id_list=message_id_list,
-                interest=global_config.personality.interest,
             )
             continue_flag, modified_message = await events_manager.handle_mai_events(
                 EventType.ON_PLAN, None, prompt_info[0], None, self.chat_stream.stream_id

src/chat/planner_actions/planner.py

@@ -36,7 +36,6 @@ def init_prompt():
         """
 {time_block}
 {name_block}
-你的兴趣是：{interest}
 {chat_context_description}，以下是具体的聊天内容
 **聊天内容**
 {chat_content_block}
@@ -48,8 +47,8 @@ reply
 2.你可以自然的顺着正在进行的聊天内容进行回复或自然的提出一个问题
 3.不要回复你自己发送的消息
 4.不要单独对表情包进行回复
-5.think_level表示思考深度，0表示该回复不需要思考，1表示该回复需要简单思考，2表示该回复需要深度思考
+5.think_level表示思考深度，0表示该回复不需要思考和回忆，2表示该回复需要深度思考，进行深入的回忆和思考
-{{"action":"reply", "think_level":数值等级(0-2), "target_message_id":"消息id(m+数字)"}}
+{{"action":"reply", "think_level":数值等级(0-2), "target_messamge_id":"消息id(m+数字)"}}
 
 no_reply
 动作描述：
@@ -361,7 +360,6 @@ class ActionPlanner:
             current_available_actions=filtered_actions,
             chat_content_block=chat_content_block,
             message_id_list=message_id_list,
-            interest=global_config.personality.interest,
             is_mentioned=is_mentioned,
         )
 

src/config/official_configs.py

@@ -45,9 +45,6 @@ class PersonalityConfig(ConfigBase):
     reply_style: str = ""
     """表达风格"""
 
-    interest: str = ""
-    """兴趣"""
-
     plan_style: str = ""
     """说话规则，行为风格"""
 
@@ -79,12 +76,6 @@ class ChatConfig(ConfigBase):
     max_context_size: int = 18
     """上下文长度"""
 
-    interest_rate_mode: Literal["fast", "accurate"] = "fast"
-    """兴趣值计算模式，fast为快速计算，accurate为精确计算"""
-
-    planner_size: float = 1.5
-    """副规划器大小，越小，麦麦的动作执行能力越精细，但是消耗更多token，调大可以缓解429类错误"""
-
     mentioned_bot_reply: bool = True
     """是否启用提及必回复"""
 

template/bot_config_template.toml

@@ -27,16 +27,14 @@ personality = "是一个女大学生，现在在读大二，会刷贴吧。"
 # 描述麦麦说话的表达风格，表达习惯，如要修改，可以酌情新增内容
 reply_style = "请回复的平淡一些，简短一些，说中文，不要刻意突出自身学科背景。可以参考贴吧，知乎和微博的回复风格。"
 
-# 麦麦的兴趣，会影响麦麦对什么话题进行回复
-interest = "对技术相关话题，游戏和动漫相关话题感兴趣，也对日常话题感兴趣，不喜欢太过沉重严肃的话题"
-
 # 麦麦的说话规则，行为风格:
 plan_style = """
 1.思考**所有**的可用的action中的**每个动作**是否符合当下条件，如果动作使用条件符合聊天内容就使用
 2.如果相同的内容已经被执行，请不要重复执行
-3.请控制你的发言频率，不要太过频繁的发言
+3.你对技术相关话题，游戏和动漫相关话题感兴趣，也对日常话题感兴趣，不喜欢太过沉重严肃的话题
-4.如果有人对你感到厌烦，请减少回复
+4.请控制你的发言频率，不要太过频繁的发言
-5.如果有人对你进行攻击，或者情绪激动，请你以合适的方法应对"""
+5.如果有人对你感到厌烦，请减少回复
+6.如果有人对你进行攻击，或者情绪激动，请你以合适的方法应对"""
 
 # 麦麦识图规则，不建议修改
 visual_style = "请用中文描述这张图片的内容。如果有文字，请把文字描述概括出来，请留意其主题，直观感受，输出为一段平文本，最多30字，请注意不要分点，就输出一段文本"
@@ -107,7 +105,7 @@ talk_value_rules = [
 ]
 
 [memory]
-max_agent_iterations = 2 # 记忆思考深度（最低为1）
+max_agent_iterations = 3 # 记忆思考深度（最低为1）
 agent_timeout_seconds = 45.0 # 最长回忆时间（秒）
 enable_jargon_detection = true # 记忆检索过程中是否启用黑话识别
 global_memory = false # 是否允许记忆检索进行全局查询