Improve MIP optimization and add log export feature

gui.py

@@ -92,6 +92,7 @@ def index():
         "info_container": None,  # 新增信息展示容器
         "ga_switch": None,  # 遗传算法开关
         "mip_switch": None,  # MIP开关
+        "log_content": "",  # 存储计算日志内容
     }
 
     def update_info_panel():
@@ -632,6 +633,63 @@ def index():
                 "icon=folder_zip color=secondary"
             )
 
+            # --- 导出计算日志 ---
+            async def on_click_export_log(e):
+                # 尝试多种方式获取日志内容
+                log_content = ""
+                method_used = "unknown"
+
+                # 方法1: 首先尝试从保存的日志内容获取
+                if refs.get("log_content") and refs["log_content"].strip():
+                    log_content = refs["log_content"]
+                    method_used = "saved_memory"
+
+                # 方法2: 如果保存的日志为空，尝试使用 JavaScript 获取 log 组件的内容
+                if not log_content.strip() and refs["log_box"]:
+                    try:
+                        log_id = refs["log_box"].id
+                        js_code = f"""
+                        (function() {{
+                            const logElement = document.querySelector("#c{log_id}");
+                            if (logElement) {{
+                                console.log("Found log element:", logElement);
+                                return logElement.innerText || logElement.textContent || "";
+                            }}
+                            console.log("Log element not found for ID: c{log_id}");
+                            return "";
+                        }})()
+                        """
+                        result = await ui.run_javascript(js_code)
+                        if result and result.strip():
+                            log_content = result
+                            method_used = "javascript"
+                    except Exception as js_error:
+                        print(f"JavaScript method failed: {js_error}")
+
+                if not log_content.strip():
+                    ui.notify(
+                        "没有可导出的日志内容。请先运行计算任务。", type="warning"
+                    )
+                    print(f"Log export failed. Method tried: {method_used}")
+                    return
+
+                print(
+                    f"Successfully exported log using method: {method_used}, length: {len(log_content)}"
+                )
+                default_name = f"{file_prefix}_calculation_log.txt"
+
+                async def save_log(path):
+                    with open(path, "w", encoding="utf-8") as f:
+                        f.write(log_content)
+
+                await save_file_with_dialog(
+                    default_name, save_log, "Text Files (*.txt)", sender=e.sender
+                )
+
+            ui.button("导出计算日志", on_click=on_click_export_log).props(
+                "icon=description color=info"
+            )
+
     def update_plot(result):
         if refs["plot_container"]:
             refs["plot_container"].clear()
@@ -686,6 +744,8 @@ def index():
             return
         if refs["log_box"]:
             refs["log_box"].clear()
+        # 重置日志内容
+        refs["log_content"] = ""
         log_queue = queue.Queue()
 
         # 获取开关状态
@@ -706,6 +766,8 @@ def index():
                     try:
                         msg = log_queue.get_nowait()
                         refs["log_box"].push(msg)
+                        # 同时保存到日志内容中
+                        refs["log_content"] += msg + "\n"
                         new_msg = True
                         if msg.startswith("--- Scenario"):
                             scenario_name = msg.replace("---", "").strip()