fix:加try

src/chat/focus_chat/expressors/exprssion_learner.py

@@ -4,7 +4,7 @@ from typing import List, Dict, Optional, Any, Tuple
 from src.common.logger_manager import get_logger
 from src.chat.models.utils_model import LLMRequest
 from src.config.config import global_config
-from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_random, build_readable_messages
+from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_random, build_readable_messages, build_anonymous_messages
 from src.chat.focus_chat.heartflow_prompt_builder import Prompt, global_prompt_manager
 import os
 import json
@@ -225,14 +225,15 @@ class ExpressionLearner:
             return None
         # 转化成str
         chat_id: str = random_msg[0]["chat_id"]
-        random_msg_str: str = await build_readable_messages(random_msg, timestamp_mode="normal")
+        # random_msg_str: str = await build_readable_messages(random_msg, timestamp_mode="normal")
+        random_msg_str: str = await build_anonymous_messages(random_msg)
 
         prompt: str = await global_prompt_manager.format_prompt(
             prompt,
             chat_str=random_msg_str,
         )
 
-        logger.debug(f"学习{type_str}的prompt: {prompt}")
+        logger.info(f"学习{type_str}的prompt: {prompt}")
 
         try:
             response, _ = await self.express_learn_model.generate_response_async(prompt)
@@ -240,7 +241,7 @@ class ExpressionLearner:
             logger.error(f"学习{type_str}失败: {e}")
             return None
 
-        logger.debug(f"学习{type_str}的response: {response}")
+        logger.info(f"学习{type_str}的response: {response}")
 
         expressions: List[Tuple[str, str, str]] = self.parse_expression_response(response, chat_id)
 

src/chat/focus_chat/heartFC_chat.py

@@ -907,6 +907,7 @@ class HeartFChatting:
                 )
 
         # --- 概率性忽略文本回复附带的表情 (逻辑保持不变) ---
+        try:
             emoji = action_data.get("emojis")
             if action == "reply" and emoji:
                 logger.debug(f"{self.log_prefix}[Planner] 大模型建议文字回复带表情: '{emoji}'")
@@ -915,6 +916,9 @@ class HeartFChatting:
                     action_data["emojis"] = ""  # 清空表情请求
                 else:
                     logger.info(f"{self.log_prefix}好吧，加上表情 '{emoji}'")
+        except Exception as e:
+            logger.error(f"{self.log_prefix}[Planner] 概率性忽略表情时发生错误: {e}")
+            traceback.print_exc()
             # --- 结束概率性忽略 ---
 
         # 返回结果字典

src/chat/utils/chat_message_builder.py

@@ -413,6 +413,53 @@ async def build_readable_messages(
             return read_mark_line.strip()  # 如果前后都无消息，只返回标记行
 
 
+async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str:
+    """
+    构建匿名可读消息，将不同人的名称转为唯一占位符（A、B、C...），bot自己用SELF。
+    """
+    if not messages:
+        return ""
+
+    # 分配占位符
+    person_map = {}
+    current_char = ord('A')
+    output_lines = []
+
+    for msg in messages:
+        user_info = msg.get("user_info", {})
+        platform = user_info.get("platform")
+        user_id = user_info.get("user_id")
+        timestamp = msg.get("time")
+        content = msg.get("processed_plain_text", "")
+
+        if not all([platform, user_id, timestamp is not None]):
+            continue
+
+        # 判断是否为bot
+        if user_id == global_config.BOT_QQ:
+            anon_name = "SELF"
+        else:
+            person_id = person_info_manager.get_person_id(platform, user_id)
+            if person_id not in person_map:
+                person_map[person_id] = chr(current_char)
+                current_char += 1
+            anon_name = person_map[person_id]
+
+        # 格式化时间
+        readable_time = translate_timestamp_to_human_readable(timestamp, mode="relative")
+        header = f"{readable_time}{anon_name}说:"
+        output_lines.append(header)
+        stripped_line = content.strip()
+        if stripped_line:
+            if stripped_line.endswith("。"):
+                stripped_line = stripped_line[:-1]
+            output_lines.append(f"{stripped_line};")
+        output_lines.append("\n")
+
+    formatted_string = "".join(output_lines).strip()
+    return formatted_string
+
+
 async def get_person_id_list(messages: List[Dict[str, Any]]) -> List[str]:
     """
     从消息列表中提取不重复的 person_id 列表 (忽略机器人自身)。