Merge pull request #530 from wangw571/main-fix

对两个可视化功能和bot思考过程的修复

script/run_thingking.bat

@@ -1,5 +1,5 @@
-call conda activate niuniu
-cd src\gui
-start /b python reasoning_gui.py
+@REM call conda activate niuniu
+cd ../src\gui
+start /b ../../venv/scripts/python.exe reasoning_gui.py
 exit
 

src/gui/reasoning_gui.py

@@ -6,6 +6,8 @@ import time
 from datetime import datetime
 from typing import Dict, List
 from typing import Optional
+sys.path.insert(0, sys.path[0]+"/../")
+sys.path.insert(0, sys.path[0]+"/../")
 from src.common.logger import get_module_logger
 
 import customtkinter as ctk

src/plugins/memory_system/memory_manual_build.py

@@ -10,6 +10,12 @@ from pathlib import Path
 import matplotlib.pyplot as plt
 import networkx as nx
 from dotenv import load_dotenv
+sys.path.insert(0, sys.path[0]+"/../")
+sys.path.insert(0, sys.path[0]+"/../")
+sys.path.insert(0, sys.path[0]+"/../")
+sys.path.insert(0, sys.path[0]+"/../")
+sys.path.insert(0, sys.path[0]+"/../")
+from src.common.logger import get_module_logger
 import jieba
 
 # from chat.config import global_config

src/plugins/models/utils_model.py

@@ -274,6 +274,7 @@ class LLM_request:
                             raise RuntimeError(f"请求被拒绝: {error_code_mapping.get(response.status)}")
 
                         response.raise_for_status()
+                        reasoning_content = ""
 
                         # 将流式输出转化为非流式输出
                         if stream_mode:
@@ -303,6 +304,8 @@ class LLM_request:
                                             accumulated_content += delta_content
                                             # 检测流式输出文本是否结束
                                             finish_reason = chunk["choices"][0].get("finish_reason")
+                                            if delta.get("reasoning_content", None):
+                                                reasoning_content += delta["reasoning_content"]
                                             if finish_reason == "stop":
                                                 chunk_usage = chunk.get("usage", None)
                                                 if chunk_usage:
@@ -314,7 +317,6 @@ class LLM_request:
                                     except Exception as e:
                                         logger.exception(f"解析流式输出错误: {str(e)}")
                             content = accumulated_content
-                            reasoning_content = ""
                             think_match = re.search(r"<think>(.*?)</think>", content, re.DOTALL)
                             if think_match:
                                 reasoning_content = think_match.group(1).strip()