修改readme

src/chat/heart_flow/heartFC_chat.py

@@ -188,7 +188,7 @@ class HeartFChatting:
             chat_id=self.stream_id,
             start_time=self.last_read_time,
             end_time=time.time(),
-            limit=10,
+            limit=20,
             limit_mode="latest",
             filter_mai=True,
             filter_command=True,

src/chat/heart_flow/heartflow_message_processor.py

@@ -38,53 +38,13 @@ async def _calculate_interest(message: MessageRecv) -> Tuple[float, list[str]]:
     is_mentioned, is_at, reply_probability_boost = is_mentioned_bot_in_message(message)
     interested_rate = 0.0
     keywords = []
-    # with Timer("记忆激活"):
-    #     interested_rate, keywords, keywords_lite = await hippocampus_manager.get_activate_from_text(
-    #         message.processed_plain_text,
-    #         max_depth=4,
-    #         fast_retrieval=global_config.chat.interest_rate_mode == "fast",
-    #     )
-    #     message.key_words = keywords
-    #     message.key_words_lite = keywords_lite
-    #     logger.debug(f"记忆激活率: {interested_rate:.2f}, 关键词: {keywords}")
 
-    text_len = len(message.processed_plain_text)
-    # 根据文本长度分布调整兴趣度，采用分段函数实现更精确的兴趣度计算
-    # 基于实际分布：0-5字符(26.57%), 6-10字符(27.18%), 11-20字符(22.76%), 21-30字符(10.33%), 31+字符(13.86%)
-
-    if text_len == 0:
-        base_interest = 0.01  # 空消息最低兴趣度
-    elif text_len <= 5:
-        # 1-5字符：线性增长 0.01 -> 0.03
-        base_interest = 0.01 + (text_len - 1) * (0.03 - 0.01) / 4
-    elif text_len <= 10:
-        # 6-10字符：线性增长 0.03 -> 0.06
-        base_interest = 0.03 + (text_len - 5) * (0.06 - 0.03) / 5
-    elif text_len <= 20:
-        # 11-20字符：线性增长 0.06 -> 0.12
-        base_interest = 0.06 + (text_len - 10) * (0.12 - 0.06) / 10
-    elif text_len <= 30:
-        # 21-30字符：线性增长 0.12 -> 0.18
-        base_interest = 0.12 + (text_len - 20) * (0.18 - 0.12) / 10
-    elif text_len <= 50:
-        # 31-50字符：线性增长 0.18 -> 0.22
-        base_interest = 0.18 + (text_len - 30) * (0.22 - 0.18) / 20
-    elif text_len <= 100:
-        # 51-100字符：线性增长 0.22 -> 0.26
-        base_interest = 0.22 + (text_len - 50) * (0.26 - 0.22) / 50
-    else:
-        # 100+字符：对数增长 0.26 -> 0.3，增长率递减
-        base_interest = 0.26 + (0.3 - 0.26) * (math.log10(text_len - 99) / math.log10(901))  # 1000-99=901
-
-    # 确保在范围内
-    base_interest = min(max(base_interest, 0.01), 0.3)
-
-    message.interest_value = base_interest
+    message.interest_value = 1
     message.is_mentioned = is_mentioned
     message.is_at = is_at
     message.reply_probability_boost = reply_probability_boost
 
-    return base_interest, keywords
+    return 1, keywords
 
 
 class HeartFCMessageReceiver:

src/main.py

@@ -130,16 +130,6 @@ class MainSystem:
                 self.server.run(),
             ]
 
-            # 根据配置条件性地添加记忆系统相关任务
-            # if global_config.memory.enable_memory and self.hippocampus_manager:
-            #     tasks.extend(
-            #         [
-            #             # 移除记忆构建的定期调用，改为在heartFC_chat.py中调用
-            #             # self.build_memory_task(),
-            #             self.forget_memory_task(),
-            #         ]
-            #     )
-
             await asyncio.gather(*tasks)
 
     async def forget_memory_task(self):