1. 修改了一些bug

2. 做了一些调整，比如启动脚本，支持了tenmsorboard

src/api/fine_tune.py

@@ -167,7 +167,9 @@ def start_training():
             train_method = data.get('train_method', 'lora')
 
             # 创建输出目录（如果不存在）
-            output_model_name = data.get('output_model_name', f"{template}/{train_method}")
+            # 路径格式: /app/base/saves/{train_method}/{output_model_name}
+            output_model_name = data.get('output_model_name', template)
+            output_model_name = f"{train_method}/{output_model_name}"
             if not output_model_name.startswith('/'):
                 output_model_name = f"/app/base/saves/{output_model_name}"
             output_dir = output_model_name
@@ -278,7 +280,9 @@ def build_train_command(data, model_path, dataset_name=None):
     cmd.extend(['--finetuning_type', FINETUNING_TYPE_MAP.get(train_method, 'lora')])
 
     # 输出目录（确保是绝对路径）
-    output_model_name = data.get('output_model_name', f"{template}/{train_method}")
+    # 路径格式: /app/base/saves/{train_method}/{output_model_name}
+    output_model_name = data.get('output_model_name', template)
+    output_model_name = f"{train_method}/{output_model_name}"
     if not output_model_name.startswith('/'):
         output_model_name = f"/app/base/saves/{output_model_name}"
     output_dir = output_model_name
@@ -417,7 +421,12 @@ def delete_training_task(task_id):
         # 获取任务信息（用于删除日志文件）
         conn = get_db_connection()
         cursor = conn.cursor()
-        cursor.execute("SELECT name, process_id FROM fine_tune WHERE id = %s", (task_id,))
+        # 尝试获取所有字段，如果tensorboard_log_dir不存在会报错
+        try:
+            cursor.execute("SELECT name, process_id, tensorboard_log_dir FROM fine_tune WHERE id = %s", (task_id,))
+        except:
+            # 如果列不存在，只获取基本字段
+            cursor.execute("SELECT name, process_id FROM fine_tune WHERE id = %s", (task_id,))
         task_result = cursor.fetchone()
         conn.close()
 
@@ -425,6 +434,7 @@ def delete_training_task(task_id):
             return jsonify({'code': 1, 'message': '任务不存在'})
 
         task_name = task_result.get('name', 'unknown')
+        tensorboard_log_dir = task_result.get('tensorboard_log_dir', '') if 'tensorboard_log_dir' in task_result else ''
 
         # 删除日志文件 (logs/{日期}/{task_id}_{task_name}.log)
         try:
@@ -444,6 +454,17 @@ def delete_training_task(task_id):
         except Exception as log_err:
             logger.warning(f"删除日志文件失败: {log_err}")
 
+        # 删除 TensorBoard 进程（如果存在）
+        global tensorboard_process
+        if tensorboard_process and tensorboard_process.poll() is None:
+            try:
+                import signal
+                os.killpg(os.getpgid(tensorboard_process.pid), signal.SIGTERM)
+                tensorboard_process = None
+                logger.info(f"已停止 TensorBoard 进程")
+            except Exception as tb_err:
+                logger.warning(f"停止 TensorBoard 失败: {tb_err}")
+
         # 删除数据库中的任务记录
         conn = get_db_connection()
         cursor = conn.cursor()

src/api/model_manage.py

@@ -204,44 +204,67 @@ def get_trained_models():
     logger = logging.getLogger(__name__)
 
     try:
-        # 使用 /app/base/saves 目录（容器内路径）
-        saves_base_path = '/app/base/saves'
-        # 本地开发时的备用路径
-        local_saves_path = os.path.join(PROJECT_ROOT, 'saves')
+        # 多个可能的路径
+        potential_paths = [
+            '/app/base/saves',           # 容器内路径
+            os.path.join(PROJECT_ROOT, 'saves'),  # 本地开发路径
+            os.path.join(os.path.dirname(os.path.dirname(PROJECT_ROOT)), 'YG_FT_Base', 'saves'),  # 上级目录
+        ]
 
-        # 选择存在的路径
-        base_path = saves_base_path if os.path.exists(saves_base_path) else local_saves_path
+        base_path = None
+        for path in potential_paths:
+            logger.info(f"[DEBUG] 检查路径: {path}, exists: {os.path.exists(path)}")
+            if os.path.exists(path):
+                base_path = path
+                break
 
-        logger.info(f"[DEBUG] 已训练模型目录: {base_path}, exists: {os.path.exists(base_path)}")
+        logger.info(f"[DEBUG] 最终使用的路径: {base_path}")
 
         models = []
-        if os.path.exists(base_path):
-            for item in os.listdir(base_path):
-                item_path = os.path.join(base_path, item)
-                if os.path.isdir(item_path):
-                    # 检查是否是模板目录（包含训练方法的子目录）
-                    sub_items = []
-                    if os.path.exists(item_path):
-                        for sub_item in os.listdir(item_path):
-                            sub_path = os.path.join(item_path, sub_item)
-                            if os.path.isdir(sub_path):
-                                # 检查是否包含模型文件（adapter_model.bin 或 pytorch_model.bin 等）
-                                has_model = False
-                                for f in os.listdir(sub_path):
-                                    if f.endswith('.bin') or f.endswith('.safetensors'):
-                                        has_model = True
-                                        break
-                                if has_model:
-                                    sub_items.append({
-                                        'name': sub_item,
-                                        'path': sub_path
-                                    })
+        if base_path and os.path.exists(base_path):
+            logger.info(f"[DEBUG] 遍历目录: {base_path}")
+            try:
+                # 路径结构: /app/base/saves/{train_method}/{model_name}/
+                # train_method: lora, full, qlora, dpo, cpt 等
 
-                    models.append({
-                        'name': item,
-                        'path': item_path,
-                        'train_methods': sub_items
-                    })
+                for train_method in os.listdir(base_path):
+                    train_method_path = os.path.join(base_path, train_method)
+                    if not os.path.isdir(train_method_path):
+                        continue
+
+                    logger.info(f"[DEBUG] 检查训练方法目录: {train_method}")
+                    model_count = 0
+
+                    # 遍历模型文件夹
+                    for model_name in os.listdir(train_method_path):
+                        model_path = os.path.join(train_method_path, model_name)
+                        if not os.path.isdir(model_path):
+                            continue
+
+                        # 检查是否有模型文件
+                        try:
+                            files = os.listdir(model_path)
+                            logger.info(f"[DEBUG] {train_method}/{model_name} 文件: {files[:5]}...")
+                            has_model = any(f.endswith('.bin') or f.endswith('.safetensors') for f in files)
+
+                            if has_model:
+                                logger.info(f"[DEBUG] 找到模型: {train_method}/{model_name}")
+                                models.append({
+                                    'name': model_name,
+                                    'path': model_path,
+                                    'train_methods': [{
+                                        'name': train_method,
+                                        'path': model_path
+                                    }]
+                                })
+                                model_count += 1
+                        except Exception as file_err:
+                            logger.error(f"[DEBUG] 读取 {model_path} 失败: {file_err}")
+
+                    logger.info(f"[DEBUG] {train_method} 找到 {model_count} 个模型")
+
+            except Exception as list_err:
+                logger.error(f"[DEBUG] 遍历目录失败: {list_err}")
 
         logger.info(f"[DEBUG] 找到 {len(models)} 个已训练模型")
 
@@ -249,7 +272,7 @@ def get_trained_models():
             'code': 0,
             'data': {
                 'models': models,
-                'base_path': base_path
+                'base_path': base_path or ''
             }
         })
     except Exception as e:

src/main.py

@@ -165,6 +165,7 @@ def init_database():
                 valid_ratio INT DEFAULT 10,
                 output_model_name VARCHAR(255),
                 process_id INT COMMENT '训练进程ID',
+                tensorboard_log_dir VARCHAR(255) COMMENT 'TensorBoard日志目录',
                 status VARCHAR(50) DEFAULT 'pending',
                 progress INT DEFAULT 0,
                 create_time DATETIME DEFAULT CURRENT_TIMESTAMP,

start_all.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 # YG_FT_Base 统一启动脚本
-# 同时启动后端 API 服务和 Web 静态服务器
+# 同时启动后端 API 服务、Web 静态服务器和 TensorBoard
 # 使用方法: bash start_all.sh
 
 # 自动修复脚本换行符
@@ -34,6 +34,7 @@ fi
 echo "📦 端口配置:"
 echo "   - 后端 API: $API_PORT"
 echo "   - Web 服务器: $WEB_PORT"
+echo "   - TensorBoard: 6006"
 echo ""
 
 # 检查端口是否已被占用
@@ -70,6 +71,36 @@ start_api() {
     echo "$API_PID" > /tmp/ygft_api.pid
 }
 
+# 启动 TensorBoard 服务
+start_tensorboard() {
+    echo ""
+    echo "🚀 启动 TensorBoard 服务..."
+
+    # 检查端口
+    if ! check_port 6006; then
+        echo "⚠️  端口 6006 已被占用，TensorBoard 可能已在运行"
+        return 0
+    fi
+
+    # 确保日志目录存在
+    LOG_DIR="/app/base/saves"
+    if [ ! -d "$LOG_DIR" ]; then
+        LOG_DIR="$SCRIPT_DIR/saves"
+    fi
+
+    if [ ! -d "$LOG_DIR" ]; then
+        echo "⚠️  日志目录不存在，跳过 TensorBoard 启动"
+        return 0
+    fi
+
+    # 启动 TensorBoard（后台运行）
+    nohup tensorboard --logdir "$LOG_DIR" --port 6006 --bind_all > "$LOG_DIR/tensorboard.log" 2>&1 &
+    TB_PID=$!
+    echo "✅ TensorBoard 服务已启动 (PID: $TB_PID, 端口: 6006)"
+    echo "$TB_PID" > /tmp/ygft_tensorboard.pid
+    echo "📊 TensorBoard 访问地址: http://localhost:6006"
+}
+
 # 启动 Web 静态服务器
 start_web() {
     echo ""
@@ -105,9 +136,16 @@ stop_all() {
         echo "✅ Web 服务已停止"
     fi
 
+    if [ -f /tmp/ygft_tensorboard.pid ]; then
+        kill $(cat /tmp/ygft_tensorboard.pid) 2>/dev/null
+        rm /tmp/ygft_tensorboard.pid
+        echo "✅ TensorBoard 服务已停止"
+    fi
+
     # 清理可能残留的进程
     pkill -f "src/main.py" 2>/dev/null
     pkill -f "http.server $WEB_PORT" 2>/dev/null
+    pkill -f "tensorboard.*6006" 2>/dev/null
 }
 
 # 显示状态
@@ -128,16 +166,24 @@ status() {
         echo "❌ Web 服务: 未运行"
     fi
 
+    if [ -f /tmp/ygft_tensorboard.pid ] && kill -0 $(cat /tmp/ygft_tensorboard.pid) 2>/dev/null; then
+        echo "✅ TensorBoard: 运行中 (PID: $(cat /tmp/ygft_tensorboard.pid), 端口: 6006)"
+    else
+        echo "❌ TensorBoard: 未运行"
+    fi
+
     echo ""
     echo "🌐 访问地址:"
     echo "   - 后端 API: http://localhost:$API_PORT"
     echo "   - Web 页面: http://localhost:$WEB_PORT/pages/main.html"
+    echo "   - TensorBoard: http://localhost:6006"
 }
 
 # 主菜单
 case "$1" in
     start)
         start_api
+        start_tensorboard
         start_web
         echo ""
         echo "===================================="
@@ -153,6 +199,7 @@ case "$1" in
         stop_all
         sleep 1
         start_api
+        start_tensorboard
         start_web
         echo ""
         echo "===================================="

web/pages/components/sidebar.html

@@ -23,7 +23,7 @@
             </a>
         </div>
         <div class="nav-item-wrapper">
-            <a href="main.html?page=my-models" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
+            <a href="model-manage.html" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
                 <i class="fa fa-database w-5 text-center"></i>
                 <span class="ml-2">我的模型</span>
             </a>

web/pages/custom-tool-create.html

@@ -5,6 +5,18 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>添加自定义工具 / 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+        })();
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .sidebar-section-title {
@@ -105,7 +117,7 @@
                 </a>
             </div>
             <div class="nav-item-wrapper">
-                <a href="main.html?page=my-models" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
+                <a href="model-manage.html" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
                     <i class="fa fa-database w-5 text-center"></i>
                     <span class="ml-2">我的模型</span>
                 </a>
@@ -259,13 +271,15 @@
     </div>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 当前是否为编辑模式
         let isEditMode = false;
@@ -500,6 +514,7 @@
                 if (onConfirm) onConfirm();
             };
         }
+        })();
     </script>
 
     <!-- 自定义消息弹窗 -->

web/pages/dataset-create.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>上传数据集 - 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         /* 侧边栏滑块动画 */
@@ -109,7 +120,7 @@
                 </a>
             </div>
             <div class="nav-item-wrapper">
-                <a href="main.html?page=my-models" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
+                <a href="model-manage.html" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
                     <i class="fa fa-database w-5 text-center"></i>
                     <span class="ml-2">我的模型</span>
                 </a>
@@ -393,13 +404,15 @@
     </div>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 返回页面
         let backUrl = 'main.html?page=dataset-manage';
@@ -1129,6 +1142,7 @@
             }
         }
 
+        })();
     </script>
 
     <!-- 预览弹窗 -->

web/pages/dataset-preview.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>数据管理-文件预览 - 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .sidebar-section-title {
@@ -212,13 +223,15 @@
     </div>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 获取URL参数
         const urlParams = new URLSearchParams(window.location.search);
@@ -405,6 +418,7 @@
                 alert('删除失败: ' + error.message);
             });
         }
+        })();
     </script>
 </body>
 </html>

web/pages/fine-tune-create.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>创建训练任务 / 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .sidebar-section-title {
@@ -111,7 +122,7 @@
                 </a>
             </div>
             <div class="nav-item-wrapper">
-                <a href="main.html?page=my-models" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
+                <a href="model-manage.html" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
                     <i class="fa fa-database w-5 text-center"></i>
                     <span class="ml-2">我的模型</span>
                 </a>
@@ -662,13 +673,15 @@
     </div>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 页面加载完成后初始化
         document.addEventListener('DOMContentLoaded', function() {
@@ -1213,9 +1226,9 @@
             const trainMethod = formData.get('train_method') || 'lora';
             const methodMap = { 'lora': 'lora', 'full': 'full' };
 
-            // 获取输出模型名称（使用任务名称）
+            // 获取输出模型名称（使用任务名称，路径格式: {train_method}/{taskName}）
             const taskName = formData.get('name') || 'task_name';
-            const outputModelName = taskName;
+            const outputModelName = `${trainMethod}/${taskName}`;
             const outputDir = outputModelName.startsWith('/') ? outputModelName : `/app/base/saves/${outputModelName}`;
 
             // 获取数据集名称
@@ -1313,6 +1326,12 @@
             // 初始化时更新一次
             setTimeout(updateCommandPreview, 500);
         }
+
+        // 将函数暴露到全局作用域，供 onclick 调用
+        window.toggleGPUSelection = toggleGPUSelection;
+        window.submitForm = submitForm;
+        window.toggleTrainMethod = toggleTrainMethod;
+        })();
     </script>
 
     <!-- 自定义消息弹窗 -->

web/pages/login.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>远光软件微调平台 - 登录</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .login-card-shadow {
@@ -115,13 +126,15 @@
 
     <!-- 简单的交互脚本 -->
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 密码显示/隐藏切换
         const togglePassword = document.getElementById('togglePassword');
@@ -172,6 +185,7 @@
                 errorMsg.classList.remove('hidden');
             }
         });
+        })();
     </script>
 </body>
 </html>

web/pages/main.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>模型调优 - 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <script src="../lib/marked.min.js"></script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
@@ -189,7 +200,7 @@
                 </a>
             </div>
             <div class="nav-item-wrapper">
-                <a href="#" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
+                <a href="model-manage.html" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
                     <i class="fa fa-database w-5 text-center"></i>
                     <span class="ml-2">我的模型</span>
                 </a>
@@ -310,12 +321,17 @@
 
     <script>
         // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        if (typeof window.getApiBase !== 'function') {
+            window.getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+        }
+        if (typeof window.API_BASE === 'undefined') {
+            window.API_BASE = window.getApiBase();
+        }
+        const API_BASE = window.API_BASE;
 
         // 日志自动刷新相关变量
         let logRefreshTimer = null;

web/pages/model-compare-chat.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>模型对比 - 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .sidebar-section-title {
@@ -372,14 +383,16 @@
     </div>
 
     <script>
-        console.log('>>> model-compare-chat.html 脚本开始加载');
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            console.log('>>> model-compare-chat.html 脚本开始加载');
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 模拟模型数据（用于演示）
         const mockModels = [
@@ -605,6 +618,7 @@
         function delay(ms) {
             return new Promise(resolve => setTimeout(resolve, ms));
         }
+        })();
     </script>
 </body>
 </html>

web/pages/model-compare-create.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>新建对比 - 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .sidebar-section-title {
@@ -284,13 +295,15 @@
     </div>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         let allModels = [];
         let selectedModels = new Set();
@@ -605,6 +618,7 @@
                 }
             }
         }
+        })();
     </script>
 </body>
 </html>

web/pages/model-compare-result.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>模型对比结果 - 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .sidebar-section-title {
@@ -232,14 +243,16 @@
     </div>
 
     <script>
-        console.log('>>> model-compare-result.html 脚本开始加载');
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            console.log('>>> model-compare-result.html 脚本开始加载');
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 模拟模型数据（用于演示）
         const mockModels = [
@@ -590,6 +603,7 @@
         if (restartBtn) {
             restartBtn.onclick = restartQuestion;
         }
+        })();
     </script>
 </body>
 </html>

web/pages/model-dimension-create.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>添加评测维度 / 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         /* 侧边栏滑块动画 */
@@ -205,7 +216,7 @@
                 </a>
             </div>
             <div class="nav-item-wrapper">
-                <a href="main.html?page=my-models" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
+                <a href="model-manage.html" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
                     <i class="fa fa-database w-5 text-center"></i>
                     <span class="ml-2">我的模型</span>
                 </a>
@@ -456,13 +467,15 @@
     </div>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 加载评测模型列表（用途为 evaluation 的模型）
         async function loadEvalModels() {
@@ -1304,7 +1317,7 @@
                 }
                 this._onConfirm = null;
             };
-        }
+        })();
     </script>
 
     <!-- 自定义消息弹窗 -->

web/pages/model-eval-create.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>新建评测 / 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         /* 侧边栏滑块动画 */
@@ -115,7 +126,7 @@
                 </a>
             </div>
             <div class="nav-item-wrapper">
-                <a href="main.html?page=my-models" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
+                <a href="model-manage.html" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
                     <i class="fa fa-database w-5 text-center"></i>
                     <span class="ml-2">我的模型</span>
                 </a>
@@ -357,13 +368,15 @@
     </div>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 页面加载完成后初始化
         document.addEventListener('DOMContentLoaded', function() {
@@ -588,6 +601,7 @@
                 showMessage('错误', '创建失败: ' + error.message, 'error');
             }
         }
+        })();
     </script>
 
     <!-- 自定义消息弹窗 -->

web/pages/model-eval.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>模型评测 / 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .bg-primary { background-color: #1890ff; }
@@ -112,13 +123,15 @@
     </div>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // Tab 内容切换函数（供 main.html 调用）
         window.switchTabContent = function(tabId) {
@@ -452,6 +465,7 @@
         } else {
             initPage();
         }
+        })();
     </script>
 </body>
 </html>

web/pages/model-manage-create.html

@@ -5,6 +5,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>添加模型 / 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .sidebar-section-title {
@@ -103,7 +114,7 @@
                 </a>
             </div>
             <div class="nav-item-wrapper">
-                <a href="main.html?page=my-models" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
+                <a href="model-manage.html" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
                     <i class="fa fa-database w-5 text-center"></i>
                     <span class="ml-2">我的模型</span>
                 </a>
@@ -331,13 +342,15 @@
     </div>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         // 返回页面
         let backUrl = 'main.html?page=model-manage';
@@ -662,6 +675,7 @@
         function goBack() {
             window.location.href = backUrl;
         }
+        })();
     </script>
 
     <!-- 自定义消息弹窗 -->

web/pages/model-manage.html

@@ -5,6 +5,18 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>模型管理 / 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        // 禁用 Tailwind 开发模式警告
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <style>
         .sidebar-section-title {
@@ -95,7 +107,7 @@
                 </a>
             </div>
             <div class="nav-item-wrapper">
-                <a href="#" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
+                <a href="model-manage.html" data-page="my-models" class="nav-link flex items-center px-4 py-2.5 hover:bg-[#001529]/20 transition-colors">
                     <i class="fa fa-database w-5 text-center"></i>
                     <span class="ml-2">我的模型</span>
                 </a>
@@ -248,6 +260,7 @@
                             <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">用途</th>
                             <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">模型来源</th>
                             <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">描述</th>
+                            <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">模型路径</th>
                             <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">创建时间</th>
                             <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">操作</th>
                         </tr>
@@ -290,16 +303,18 @@
                 <p class="text-gray-500">暂无已训练模型</p>
             </div>
         </div>
-    </div>
+    </main>
 
     <script>
-        // API 基础地址 - 使用 config.yaml 中的 app.port (7861)
-        const getApiBase = () => {
-            const protocol = window.location.protocol;
-            const hostname = window.location.hostname;
-            return `${protocol}//${hostname}:7861/api`;
-        };
-        const API_BASE = getApiBase();
+        // 使用 IIFE 避免全局变量污染
+        (function() {
+            // API 基础地址 - 优先使用 main.html 中定义的全局变量
+            const getApiBase = () => {
+                const protocol = window.location.protocol;
+                const hostname = window.location.hostname;
+                return `${protocol}//${hostname}:7861/api`;
+            };
+            const API_BASE = typeof window.API_BASE !== 'undefined' ? window.API_BASE : getApiBase();
 
         let allModels = [];
         let trainedModels = [];
@@ -339,19 +354,94 @@
         // 加载模型数据
         async function loadModels() {
             try {
-                const response = await fetch(`${API_BASE}/model-manage`);
-                const result = await response.json();
+                // 并行加载数据库模型和已训练模型
+                const [dbResponse, trainedResponse] = await Promise.all([
+                    fetch(`${API_BASE}/model-manage`),
+                    fetch(`${API_BASE}/model-manage/trained-models`)
+                ]);
 
-                if (result.code === 0) {
-                    allModels = result.data || [];
-                    renderModels();
+                const dbResult = await dbResponse.json();
+                const trainedResult = await trainedResponse.json();
+
+                console.log('[DEBUG] 数据库模型数量:', dbResult.data?.length || 0);
+                console.log('[DEBUG] 已训练模型API响应:', trainedResult);
+
+                // 数据库模型
+                let dbModels = [];
+                if (dbResult.code === 0) {
+                    dbModels = dbResult.data || [];
                 }
+
+                // 已训练模型 - 转换为统一格式
+                trainedModels = [];
+                if (trainedResult.code === 0) {
+                    const trainedData = trainedResult.data?.models || [];
+                    console.log('[DEBUG] 已训练模型数据:', trainedData);
+                    trainedData.forEach(model => {
+                        // 每个训练方法作为一个模型条目
+                        if (model.train_methods && model.train_methods.length > 0) {
+                            model.train_methods.forEach(method => {
+                                trainedModels.push({
+                                    id: `trained_${model.name}_${method.name}`.replace(/[^a-zA-Z0-9]/g, '_'),
+                                    name: `${model.name} (${method.name})`,
+                                    type: 'LLM',
+                                    purpose: 'inference',
+                                    model_source: 'local',
+                                    path: method.path,
+                                    description: `基于 ${model.name} 的${getMethodDisplayName(method.name)}训练模型`,
+                                    create_time: new Date().toISOString(),
+                                    isTrained: true,
+                                    baseModel: model.name,
+                                    trainMethod: method.name
+                                });
+                            });
+                        } else {
+                            // 没有训练方法的也添加为模型
+                            trainedModels.push({
+                                id: `trained_${model.name}`.replace(/[^a-zA-Z0-9]/g, '_'),
+                                name: model.name,
+                                type: 'LLM',
+                                purpose: 'inference',
+                                model_source: 'local',
+                                path: model.path,
+                                description: '已训练模型',
+                                create_time: new Date().toISOString(),
+                                isTrained: true,
+                                baseModel: model.name,
+                                trainMethod: ''
+                            });
+                        }
+                    });
+                }
+
+                // 合并所有模型
+                allModels = [...dbModels, ...trainedModels];
+                console.log('[DEBUG] 数据库模型:', dbModels.length);
+                console.log('[DEBUG] 已训练模型:', trainedModels.length);
+                console.log('[DEBUG] 合并后的模型总数:', allModels.length);
+                renderModels();
             } catch (error) {
                 console.error('加载模型失败:', error);
             }
         }
 
-        // 加载已训练模型数据
+        // 获取训练方法显示名称
+        function getMethodDisplayName(method) {
+            const methodMap = {
+                'lora': 'LoRA',
+                'qlora': 'QLoRA',
+                'full': '全量微调',
+                'prefix': 'Prefix Tuning',
+                'adapter': 'Adapter',
+                'lora_plus': 'LoRA+',
+                'peft': 'PEFT',
+                'adalora': 'AdaLoRA',
+                'longlora': 'LongLoRA'
+            };
+            return methodMap[method] || method;
+        }
+
+        // 加载已训练模型数据（仅用于Trained Tab）
         async function loadTrainedModels() {
             try {
                 const response = await fetch(`${API_BASE}/model-manage/trained-models`);
@@ -375,7 +465,8 @@
 
         // 渲染模型列表
         function renderModels() {
-            const searchValue = document.getElementById('searchInput').value.toLowerCase();
+            const searchInput = document.getElementById('searchInput');
+            const searchValue = searchInput ? searchInput.value.toLowerCase() : '';
             let filteredModels = allModels;
 
             // 按 Tab 筛选
@@ -394,13 +485,15 @@
             const tbody = document.getElementById('modelsBody');
             const emptyState = document.getElementById('emptyState');
 
+            if (!tbody) return;
+
             if (filteredModels.length === 0) {
                 tbody.innerHTML = '';
-                emptyState.classList.remove('hidden');
+                if (emptyState) emptyState.classList.remove('hidden');
                 return;
             }
 
-            emptyState.classList.add('hidden');
+            if (emptyState) emptyState.classList.add('hidden');
 
             tbody.innerHTML = filteredModels.map(item => {
                 // 模型类型
@@ -429,10 +522,38 @@
                 };
                 const sourceDisplay = sourceMap[item.model_source] || item.model_source || '-';
 
+                // 判断是否是已训练模型
+                const isTrained = item.isTrained === true;
+                const trainedBadge = isTrained ? '<span class="ml-2 px-2 py-0.5 text-xs font-medium rounded bg-green-100 text-green-700">已训练</span>' : '';
+
+                // 操作按钮
+                let actionButtons = '';
+                if (isTrained) {
+                    // 已训练模型：显示查看和复制路径按钮
+                    actionButtons = `
+                        <button onclick="viewTrainedModel('${(item.path || '').replace(/\\/g, '\\\\').replace(/'/g, "\\'")}')" class="text-primary hover:text-primary/80 mr-3">
+                            <i class="fa fa-folder-open"></i> 查看
+                        </button>
+                        <button onclick="copyModelPath('${(item.path || '').replace(/\\/g, '\\\\').replace(/'/g, "\\'")}')" class="text-gray-500 hover:text-gray-700">
+                            <i class="fa fa-copy"></i> 复制路径
+                        </button>
+                    `;
+                } else {
+                    // 普通模型：编辑和删除
+                    actionButtons = `
+                        <button onclick="editModel(${item.id})" class="text-primary hover:text-primary/80 mr-3">
+                            <i class="fa fa-edit"></i> 编辑
+                        </button>
+                        <button onclick="deleteModel(${item.id})" class="text-red-500 hover:text-red-600">
+                            <i class="fa fa-trash"></i> 删除
+                        </button>
+                    `;
+                }
+
                 return `
-                    <tr class="hover:bg-gray-50">
+                    <tr class="hover:bg-gray-50 ${isTrained ? 'bg-green-50/30' : ''}">
                         <td class="px-6 py-4 whitespace-nowrap">
-                            <div class="text-sm font-medium text-gray-900">${item.name || '-'}</div>
+                            <div class="text-sm font-medium text-gray-900">${item.name || '-'}${trainedBadge}</div>
                         </td>
                         <td class="px-6 py-4 whitespace-nowrap">
                             <span class="px-2 py-1 text-xs font-medium rounded bg-blue-100 text-blue-700">${typeDisplay}</span>
@@ -444,18 +565,16 @@
                             <span class="px-2 py-1 text-xs font-medium rounded bg-gray-100 text-gray-700">${sourceDisplay}</span>
                         </td>
                         <td class="px-6 py-4 whitespace-nowrap">
-                            <div class="text-sm text-gray-500 max-w-xs truncate">${item.description || '-'}</div>
+                            <div class="text-sm text-gray-500 max-w-xs truncate" title="${item.description || ''}">${item.description || '-'}</div>
+                        </td>
+                        <td class="px-6 py-4 whitespace-nowrap">
+                            <div class="text-sm text-gray-500 max-w-xs truncate ${isTrained ? 'font-mono text-green-600' : ''}" title="${item.path || ''}">${item.path ? (isTrained ? item.path.split('/').pop() : item.path) : '-'}</div>
                         </td>
                         <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">
                             ${item.create_time ? new Date(item.create_time).toLocaleString('zh-CN') : '-'}
                         </td>
                         <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">
-                            <button onclick="editModel(${item.id})" class="text-primary hover:text-primary/80 mr-3">
-                                <i class="fa fa-edit"></i> 编辑
-                            </button>
-                            <button onclick="deleteModel(${item.id})" class="text-red-500 hover:text-red-600">
-                                <i class="fa fa-trash"></i> 删除
-                            </button>
+                            ${actionButtons}
                         </td>
                     </tr>
                 `;
@@ -523,7 +642,57 @@
 
         // 查看已训练模型
         function viewTrainedModel(path) {
-            alert(`模型路径: ${path}\n\n您可以从此路径加载模型进行推理或评测。`);
+            // 显示模型路径详情
+            const content = `
+                <div class="text-left">
+                    <p class="mb-3 text-gray-600">模型路径：</p>
+                    <div class="bg-gray-100 p-3 rounded text-sm font-mono break-all mb-3">${path}</div>
+                    <p class="text-sm text-gray-500">您可以复制此路径用于推理或评测。</p>
+                </div>
+            `;
+            // 使用简单的提示框
+            showModal('模型详情', content);
+        }
+
+        // 复制模型路径
+        function copyModelPath(path) {
+            navigator.clipboard.writeText(path).then(() => {
+                showToast('模型路径已复制到剪贴板');
+            }).catch(() => {
+                // 降级方案
+                const textarea = document.createElement('textarea');
+                textarea.value = path;
+                document.body.appendChild(textarea);
+                textarea.select();
+                document.execCommand('copy');
+                document.body.removeChild(textarea);
+                showToast('模型路径已复制到剪贴板');
+            });
+        }
+
+        // 显示弹窗
+        function showModal(title, content) {
+            const modal = document.createElement('div');
+            modal.className = 'fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center z-50';
+            modal.innerHTML = `
+                <div class="bg-white rounded-lg p-6 max-w-lg w-full mx-4">
+                    <h3 class="text-lg font-medium mb-4">${title}</h3>
+                    <div class="mb-4">${content}</div>
+                    <div class="flex justify-end">
+                        <button onclick="this.closest('.fixed').remove()" class="px-4 py-2 bg-gray-200 text-gray-700 rounded hover:bg-gray-300">关闭</button>
+                    </div>
+                </div>
+            `;
+            document.body.appendChild(modal);
+        }
+
+        // 显示提示
+        function showToast(message) {
+            const toast = document.createElement('div');
+            toast.className = 'fixed bottom-4 right-4 bg-gray-800 text-white px-4 py-2 rounded shadow-lg z-50';
+            toast.textContent = message;
+            document.body.appendChild(toast);
+            setTimeout(() => toast.remove(), 2000);
         }
 
         // 编辑模型
@@ -554,6 +723,7 @@
 
         // 页面加载时初始化
         loadModels();
+        })();
     </script>
 </body>
 </html>

web/pages/training-log.html

@@ -5,26 +5,30 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>训练日志 / 远光软件微调平台</title>
     <script src="../lib/tailwindcss/tailwind.js"></script>
+    <script>
+        // 禁用 Tailwind 开发模式警告
+        if (typeof console !== 'undefined' && console.warn) {
+            const originalWarn = console.warn;
+            console.warn = function(...args) {
+                if (args[0] && args[0].includes && args[0].includes('cdn.tailwindcss.com')) {
+                    return;
+                }
+                originalWarn.apply(console, args);
+            };
+        }
+    </script>
     <link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
     <script src="../lib/chart.js/chart.min.js"></script>
     <script>
         // 确保 Chart.js 已加载
         if (typeof Chart === 'undefined') {
-            console.error('Chart.js 未加载，尝试动态加载...');
             // 备用：尝试动态加载
             const script = document.createElement('script');
             script.src = '../lib/chart.js/chart.umd.min.js';
-            script.onload = function() {
-                console.log('Chart.js 动态加载成功');
-                window.chartJsLoaded = true;
-            };
             script.onerror = function() {
                 console.error('Chart.js 加载失败');
             };
             document.head.appendChild(script);
-        } else {
-            console.log('Chart.js 已加载');
-            window.chartJsLoaded = true;
         }
     </script>
     <style>
@@ -71,7 +75,7 @@
             <h2 class="text-lg font-medium text-gray-800" id="taskName">加载中...</h2>
             <span id="taskStatus" class="px-3 py-1 rounded-full text-sm bg-gray-100 text-gray-600">加载中</span>
         </div>
-        <div class="grid grid-cols-2 md:grid-cols-5 gap-4 text-sm">
+        <div class="grid grid-cols-2 md:grid-cols-6 gap-4 text-sm">
             <div>
                 <div class="text-gray-500 text-xs">基础模型</div>
                 <div id="baseModel" class="font-medium text-gray-800">-</div>
@@ -88,6 +92,10 @@
                 <div class="text-gray-500 text-xs">进程ID</div>
                 <div id="processId" class="font-medium text-gray-800">-</div>
             </div>
+            <div>
+                <div class="text-gray-500 text-xs">GPU信息</div>
+                <div id="taskGPU" class="font-medium text-gray-800">-</div>
+            </div>
             <div>
                 <div class="text-gray-500 text-xs">最后更新</div>
                 <div id="lastUpdate" class="font-medium text-gray-800">-</div>
@@ -96,21 +104,63 @@
     </div>
 
     <!-- 训练曲线图表 -->
-    <div id="chartsContainer" class="bg-white rounded-lg shadow-sm p-6 mb-6">
-        <h3 class="text-base font-medium text-gray-800 mb-4">训练曲线</h3>
-        <div class="grid grid-cols-1 md:grid-cols-3 gap-4">
-            <div>
+    <div id="chartsContainer" class="bg-white rounded-xl shadow-md p-6 mb-6 border border-gray-100">
+        <div class="flex items-center mb-4">
+            <div class="flex items-center justify-center w-8 h-8 rounded-lg bg-gradient-to-br from-blue-500 to-purple-500 text-white mr-3">
+                <i class="fa fa-line-chart"></i>
+            </div>
+            <h3 class="text-base font-semibold text-gray-800">训练实时曲线</h3>
+            <span id="chartUpdateStatus" class="ml-auto text-xs text-gray-400">自动更新中...</span>
+        </div>
+        <div class="grid grid-cols-1 md:grid-cols-3 gap-6">
+            <div class="bg-gradient-to-br from-red-50 to-white rounded-lg p-4 border border-red-100">
                 <canvas id="lossChart" class="w-full h-48"></canvas>
             </div>
-            <div>
+            <div class="bg-gradient-to-br from-blue-50 to-white rounded-lg p-4 border border-blue-100">
                 <canvas id="gradNormChart" class="w-full h-48"></canvas>
             </div>
-            <div>
+            <div class="bg-gradient-to-br from-green-50 to-white rounded-lg p-4 border border-green-100">
                 <canvas id="learningRateChart" class="w-full h-48"></canvas>
             </div>
         </div>
     </div>
 
+    <!-- 训练总结 -->
+    <div id="trainSummaryContainer" class="bg-white rounded-xl shadow-md p-6 mb-6 border border-gray-100">
+        <div class="flex items-center mb-4">
+            <div class="flex items-center justify-center w-8 h-8 rounded-lg bg-gradient-to-br from-green-500 to-teal-500 text-white mr-3">
+                <i class="fa fa-check-circle"></i>
+            </div>
+            <h3 class="text-base font-semibold text-gray-800">训练总结</h3>
+            <span id="trainSummaryStatus" class="ml-auto text-xs px-2 py-1 rounded-full bg-gray-100 text-gray-500">训练中</span>
+        </div>
+        <div id="trainSummaryContent" class="grid grid-cols-2 md:grid-cols-5 gap-4">
+            <div class="text-center p-3 bg-gray-50 rounded-lg">
+                <div class="text-xs text-gray-500 mb-1">Epoch</div>
+                <div id="summaryEpoch" class="text-lg font-semibold text-gray-800">-</div>
+            </div>
+            <div class="text-center p-3 bg-gray-50 rounded-lg">
+                <div class="text-xs text-gray-500 mb-1">训练损失</div>
+                <div id="summaryTrainLoss" class="text-lg font-semibold text-gray-800">-</div>
+            </div>
+            <div class="text-center p-3 bg-gray-50 rounded-lg">
+                <div class="text-xs text-gray-500 mb-1">训练时长</div>
+                <div id="summaryTrainRuntime" class="text-lg font-semibold text-gray-800">-</div>
+            </div>
+            <div class="text-center p-3 bg-gray-50 rounded-lg">
+                <div class="text-xs text-gray-500 mb-1">样本/秒</div>
+                <div id="summarySamplesPerSec" class="text-lg font-semibold text-gray-800">-</div>
+            </div>
+            <div class="text-center p-3 bg-gray-50 rounded-lg">
+                <div class="text-xs text-gray-500 mb-1">步/秒</div>
+                <div id="summaryStepsPerSec" class="text-lg font-semibold text-gray-800">-</div>
+            </div>
+        </div>
+        <div id="trainSummaryFlos" class="mt-4 text-center text-xs text-gray-400">
+            浮点运算量 (Total FLOPS): <span id="summaryTotalFlos">-</span>
+        </div>
+    </div>
+
     <!-- 日志内容 -->
     <div class="bg-white rounded-lg shadow-sm">
         <div class="flex items-center justify-between p-4 border-b border-gray-100">
@@ -145,33 +195,36 @@
         // 初始化图表
         function initCharts() {
             if (typeof Chart === 'undefined') {
-                console.error('[Charts] Chart 未定义，无法初始化图表');
                 document.getElementById('chartsContainer').innerHTML = '<div class="text-center p-4 text-red-500"><i class="fa fa-exclamation-triangle mr-2"></i>图表库加载失败，请刷新页面重试</div>';
                 return;
             }
 
-            console.log('[Charts] 开始初始化图表...');
-            const commonOptions = {
-                responsive: true,
-                maintainAspectRatio: false,
-                animation: false,
-                scales: {
-                    x: {
-                        title: { display: true, text: 'Step' },
-                        grid: { color: 'rgba(0,0,0,0.05)' }
-                    },
-                    y: {
-                        title: { display: true, text: 'Value' },
-                        grid: { color: 'rgba(0,0,0,0.05)' }
-                    }
-                },
-                plugins: {
-                    legend: { display: false }
-                }
+            // 创建渐变填充函数
+            function createGradient(ctx, colorStart, colorEnd) {
+                const gradient = ctx.createLinearGradient(0, 0, 0, 200);
+                gradient.addColorStop(0, colorStart);
+                gradient.addColorStop(1, colorEnd);
+                return gradient;
+            }
+
+            // 通用样式配置
+            const basePointStyle = {
+                pointRadius: 4,
+                pointHoverRadius: 6,
+                pointBackgroundColor: '#fff',
+                pointBorderWidth: 2,
+                tension: 0.4
+            };
+
+            const baseLineStyle = {
+                borderWidth: 2.5,
+                borderCapStyle: 'round',
+                borderJoinStyle: 'round'
             };
 
             // Loss 图表
             const lossCtx = document.getElementById('lossChart').getContext('2d');
+            const lossGradient = createGradient(lossCtx, 'rgba(239, 68, 68, 0.4)', 'rgba(239, 68, 68, 0.02)');
             lossChart = new Chart(lossCtx, {
                 type: 'line',
                 data: {
@@ -180,20 +233,53 @@
                         label: 'Loss',
                         data: lossData.values,
                         borderColor: '#ef4444',
-                        backgroundColor: 'rgba(239, 68, 68, 0.1)',
+                        backgroundColor: lossGradient,
                         fill: true,
-                        tension: 0.3,
-                        pointRadius: 3
+                        ...basePointStyle,
+                        ...baseLineStyle
                     }]
                 },
                 options: {
-                    ...commonOptions,
-                    plugins: { ...commonOptions.plugins, title: { display: true, text: 'Loss', color: '#ef4444', font: { size: 14 } } }
+                    responsive: true,
+                    maintainAspectRatio: false,
+                    animation: { duration: 500, easing: 'easeOutQuart' },
+                    interaction: { intersect: false, mode: 'index' },
+                    plugins: {
+                        legend: { display: false },
+                        title: {
+                            display: true,
+                            text: '📉 损失值 (Loss)',
+                            color: '#ef4444',
+                            font: { size: 15, weight: '600' },
+                            padding: { bottom: 15 }
+                        },
+                        tooltip: {
+                            backgroundColor: 'rgba(0,0,0,0.8)',
+                            titleColor: '#fff',
+                            bodyColor: '#fff',
+                            padding: 10,
+                            cornerRadius: 8,
+                            displayColors: false
+                        }
+                    },
+                    scales: {
+                        x: {
+                            title: { display: true, text: '训练步数 (Step)', color: '#6b7280', font: { size: 12 } },
+                            grid: { color: 'rgba(0,0,0,0.05)', drawBorder: false },
+                            ticks: { color: '#9ca3af', font: { size: 11 } }
+                        },
+                        y: {
+                            title: { display: true, text: '损失值', color: '#6b7280', font: { size: 12 } },
+                            grid: { color: 'rgba(0,0,0,0.05)', drawBorder: false },
+                            ticks: { color: '#9ca3af', font: { size: 11 } }
+                        }
+                    }
                 }
             });
 
             // Grad Norm 图表
             const gradNormCtx = document.getElementById('gradNormChart').getContext('2d');
+            const gradNormGradient = createGradient(gradNormCtx, 'rgba(59, 130, 246, 0.4)', 'rgba(59, 130, 246, 0.02)');
             gradNormChart = new Chart(gradNormCtx, {
                 type: 'line',
                 data: {
@@ -202,20 +288,53 @@
                         label: 'Grad Norm',
                         data: gradNormData.values,
                         borderColor: '#3b82f6',
-                        backgroundColor: 'rgba(59, 130, 246, 0.1)',
+                        backgroundColor: gradNormGradient,
                         fill: true,
-                        tension: 0.3,
-                        pointRadius: 3
+                        ...basePointStyle,
+                        ...baseLineStyle
                     }]
                 },
                 options: {
-                    ...commonOptions,
-                    plugins: { ...commonOptions.plugins, title: { display: true, text: 'Grad Norm', color: '#3b82f6', font: { size: 14 } } }
+                    responsive: true,
+                    maintainAspectRatio: false,
+                    animation: { duration: 500, easing: 'easeOutQuart' },
+                    interaction: { intersect: false, mode: 'index' },
+                    plugins: {
+                        legend: { display: false },
+                        title: {
+                            display: true,
+                            text: '📊 梯度范数 (Grad Norm)',
+                            color: '#3b82f6',
+                            font: { size: 15, weight: '600' },
+                            padding: { bottom: 15 }
+                        },
+                        tooltip: {
+                            backgroundColor: 'rgba(0,0,0,0.8)',
+                            titleColor: '#fff',
+                            bodyColor: '#fff',
+                            padding: 10,
+                            cornerRadius: 8,
+                            displayColors: false
+                        }
+                    },
+                    scales: {
+                        x: {
+                            title: { display: true, text: '训练步数 (Step)', color: '#6b7280', font: { size: 12 } },
+                            grid: { color: 'rgba(0,0,0,0.05)', drawBorder: false },
+                            ticks: { color: '#9ca3af', font: { size: 11 } }
+                        },
+                        y: {
+                            title: { display: true, text: '梯度范数', color: '#6b7280', font: { size: 12 } },
+                            grid: { color: 'rgba(0,0,0,0.05)', drawBorder: false },
+                            ticks: { color: '#9ca3af', font: { size: 11 } }
+                        }
+                    }
                 }
             });
 
             // Learning Rate 图表
             const lrCtx = document.getElementById('learningRateChart').getContext('2d');
+            const lrGradient = createGradient(lrCtx, 'rgba(34, 197, 94, 0.4)', 'rgba(34, 197, 94, 0.02)');
             learningRateChart = new Chart(lrCtx, {
                 type: 'line',
                 data: {
@@ -224,23 +343,59 @@
                         label: 'Learning Rate',
                         data: learningRateData.values,
                         borderColor: '#22c55e',
-                        backgroundColor: 'rgba(34, 197, 94, 0.1)',
+                        backgroundColor: lrGradient,
                         fill: true,
-                        tension: 0.3,
-                        pointRadius: 3
+                        ...basePointStyle,
+                        ...baseLineStyle
                     }]
                 },
                 options: {
-                    ...commonOptions,
-                    scales: {
-                        ...commonOptions.scales,
-                        y: {
-                            ...commonOptions.scales.y,
-                            type: 'logarithmic',
-                            title: { display: true, text: 'Learning Rate (log)' }
+                    responsive: true,
+                    maintainAspectRatio: false,
+                    animation: { duration: 500, easing: 'easeOutQuart' },
+                    interaction: { intersect: false, mode: 'index' },
+                    plugins: {
+                        legend: { display: false },
+                        title: {
+                            display: true,
+                            text: '📈 学习率 (Learning Rate)',
+                            color: '#22c55e',
+                            font: { size: 15, weight: '600' },
+                            padding: { bottom: 15 }
+                        },
+                        tooltip: {
+                            backgroundColor: 'rgba(0,0,0,0.8)',
+                            titleColor: '#fff',
+                            bodyColor: '#fff',
+                            padding: 10,
+                            cornerRadius: 8,
+                            displayColors: false,
+                            callbacks: {
+                                label: function(context) {
+                                    return '学习率: ' + context.parsed.y.toExponential(2);
+                                }
+                            }
                         }
                     },
-                    plugins: { ...commonOptions.plugins, title: { display: true, text: 'Learning Rate', color: '#22c55e', font: { size: 14 } } }
+                    scales: {
+                        x: {
+                            title: { display: true, text: '训练步数 (Step)', color: '#6b7280', font: { size: 12 } },
+                            grid: { color: 'rgba(0,0,0,0.05)', drawBorder: false },
+                            ticks: { color: '#9ca3af', font: { size: 11 } }
+                        },
+                        y: {
+                            type: 'logarithmic',
+                            title: { display: true, text: '学习率 (对数坐标)', color: '#6b7280', font: { size: 12 } },
+                            grid: { color: 'rgba(0,0,0,0.05)', drawBorder: false },
+                            ticks: {
+                                color: '#9ca3af',
+                                font: { size: 11 },
+                                callback: function(value) {
+                                    return value.toExponential(0);
+                                }
+                            }
+                        }
+                    }
                 }
             });
         }
@@ -288,6 +443,65 @@
             }
         }
 
+        // 解析训练总结指标
+        function parseTrainSummary(logContent, taskStatus) {
+            const summary = {
+                epoch: '-',
+                train_loss: '-',
+                train_runtime: '-',
+                samples_per_sec: '-',
+                steps_per_sec: '-',
+                total_flos: '-',
+                completed: false
+            };
+
+            // 检查任务是否已完成
+            if (taskStatus && taskStatus.toLowerCase() === 'completed') {
+                summary.completed = true;
+            }
+
+            // 匹配训练总结格式
+            const summaryRegex = /\*\*\*\*\* train metrics \*\*\*\*\*\s*[\s\S]*?epoch\s*=\s*([\d.]+)\s*[\s\S]*?total_flos\s*=\s*([\d.]+)([GMT]?)\s*[\s\S]*?train_loss\s*=\s*([\d.]+)\s*[\s\S]*?train_runtime\s*=\s*([\d:.]+)\s*[\s\S]*?train_samples_per_second\s*=\s*([\d.]+)\s*[\s\S]*?train_steps_per_second\s*=\s*([\d.]+)/;
+
+            const match = logContent.match(summaryRegex);
+
+            if (match) {
+                summary.epoch = match[1];
+                summary.total_flos = match[2] + match[3];
+                summary.train_loss = match[4];
+                summary.train_runtime = match[5];
+                summary.samples_per_sec = match[6];
+                summary.steps_per_sec = match[7];
+                summary.completed = true;
+            }
+
+            // 更新UI
+            const summaryEpoch = document.getElementById('summaryEpoch');
+            const summaryTrainLoss = document.getElementById('summaryTrainLoss');
+            const summaryTrainRuntime = document.getElementById('summaryTrainRuntime');
+            const summarySamplesPerSec = document.getElementById('summarySamplesPerSec');
+            const summaryStepsPerSec = document.getElementById('summaryStepsPerSec');
+            const summaryTotalFlos = document.getElementById('summaryTotalFlos');
+            if (summaryEpoch) summaryEpoch.textContent = summary.epoch;
+            if (summaryTrainLoss) summaryTrainLoss.textContent = summary.train_loss;
+            if (summaryTrainRuntime) summaryTrainRuntime.textContent = summary.train_runtime;
+            if (summarySamplesPerSec) summarySamplesPerSec.textContent = summary.samples_per_sec;
+            if (summaryStepsPerSec) summaryStepsPerSec.textContent = summary.steps_per_sec;
+            if (summaryTotalFlos) summaryTotalFlos.textContent = summary.total_flos;
+
+            // 更新状态标签
+            const statusElement = document.getElementById('trainSummaryStatus');
+            if (statusElement) {
+                if (summary.completed) {
+                    statusElement.textContent = '已完成';
+                    statusElement.className = 'ml-auto text-xs px-2 py-1 rounded-full bg-green-100 text-green-600';
+                } else {
+                    statusElement.textContent = '训练中';
+                    statusElement.className = 'ml-auto text-xs px-2 py-1 rounded-full bg-blue-100 text-blue-600';
+                }
+            }
+        }
+
         // 带超时的 fetch
         async function fetchWithTimeout(url, options = {}, timeout = 10000) {
             const controller = new AbortController();
@@ -333,21 +547,17 @@
 
         // 初始化
         async function init() {
-            console.log('[Init] 开始初始化...');
-
             taskId = getTaskId();
-            console.log('[Init] taskId:', taskId);
 
             if (!taskId) {
-                document.getElementById('taskName').textContent = '未指定任务ID';
-                document.getElementById('logContent').innerHTML = '<span class="text-gray-400">请先从模型调优列表点击查看日志</span>';
+                const taskNameEl = document.getElementById('taskName');
+                const logContentEl = document.getElementById('logContent');
+                if (taskNameEl) taskNameEl.textContent = '未指定任务ID';
+                if (logContentEl) logContentEl.innerHTML = '<span class="text-gray-400">请先从模型调优列表点击查看日志</span>';
                 return;
             }
 
-            console.log('[Init] 加载任务信息...');
             await loadTaskInfo();
-
-            console.log('[Init] 加载日志内容...');
             await loadLogContent();
 
             // 自动刷新（每5秒）
@@ -360,24 +570,26 @@
         // 加载任务信息
         async function loadTaskInfo() {
             try {
-                console.log('[Task] Fetching task info from:', `${API_BASE}/fine-tune/${taskId}`);
                 const response = await fetchWithTimeout(`${API_BASE}/fine-tune/${taskId}`);
-                console.log('[Task] Response status:', response.status);
                 const result = await response.json();
-                console.log('[Task] API result:', result);
 
                 if (result.code === 0 && result.data) {
                     taskInfo = result.data;
-                    console.log('[Task] taskInfo:', taskInfo);
-                    console.log('[Task] process_id:', taskInfo.process_id);
                     await updateTaskInfo();
                 } else {
-                    console.error('[Task] API返回错误:', result.message);
+                    const statusElement = document.getElementById('taskStatus');
+                    if (statusElement) {
+                        statusElement.textContent = '获取失败';
+                        statusElement.className = 'px-3 py-1 rounded-full text-sm bg-red-100 text-red-700';
+                    }
                 }
             } catch (error) {
                 console.error('[Task] 获取任务信息失败:', error);
-                document.getElementById('taskStatus').textContent = '获取失败';
-                document.getElementById('taskStatus').className = 'px-3 py-1 rounded-full text-sm bg-red-100 text-red-700';
+                const statusElement = document.getElementById('taskStatus');
+                if (statusElement) {
+                    statusElement.textContent = '获取失败';
+                    statusElement.className = 'px-3 py-1 rounded-full text-sm bg-red-100 text-red-700';
+                }
             }
         }
 
@@ -385,10 +597,15 @@
         async function updateTaskInfo() {
             if (!taskInfo) return;
 
-            document.getElementById('taskName').textContent = taskInfo.name || '未知任务';
+            const taskNameElement = document.getElementById('taskName');
+            if (taskNameElement) {
+                taskNameElement.textContent = taskInfo.name || '未知任务';
+            }
 
             // 更新状态
             const statusElement = document.getElementById('taskStatus');
+            if (!statusElement) return;
+
             const actualStatus = taskInfo.status ? taskInfo.status.toLowerCase() : 'unknown';
             const statusMap = {
                 'pending': { text: '等待中', class: 'bg-gray-100 text-gray-600' },
@@ -402,6 +619,39 @@
             statusElement.textContent = statusConfig.text;
             statusElement.className = `px-3 py-1 rounded-full text-sm ${statusConfig.class}`;
 
+            // 更新训练总结状态
+            const summaryStatusElement = document.getElementById('trainSummaryStatus');
+            if (summaryStatusElement) {
+                if (actualStatus === 'completed') {
+                    summaryStatusElement.textContent = '已完成';
+                    summaryStatusElement.className = 'ml-auto text-xs px-2 py-1 rounded-full bg-green-100 text-green-600';
+                } else if (actualStatus === 'running') {
+                    summaryStatusElement.textContent = '训练中';
+                    summaryStatusElement.className = 'ml-auto text-xs px-2 py-1 rounded-full bg-blue-100 text-blue-600';
+                } else if (actualStatus === 'failed' || actualStatus === 'stopped') {
+                    summaryStatusElement.textContent = '已停止';
+                    summaryStatusElement.className = 'ml-auto text-xs px-2 py-1 rounded-full bg-gray-100 text-gray-500';
+                } else {
+                    summaryStatusElement.textContent = '等待中';
+                    summaryStatusElement.className = 'ml-auto text-xs px-2 py-1 rounded-full bg-gray-100 text-gray-500';
+                }
+            }
+
+            // 更新图表区域状态显示
+            const chartStatusElement = document.getElementById('chartUpdateStatus');
+            if (chartStatusElement) {
+                if (actualStatus === 'completed') {
+                    chartStatusElement.textContent = '已完成';
+                    chartStatusElement.className = 'ml-auto text-xs text-green-500';
+                } else if (actualStatus === 'running') {
+                    chartStatusElement.textContent = '自动更新中...';
+                    chartStatusElement.className = 'ml-auto text-xs text-gray-400';
+                } else {
+                    chartStatusElement.textContent = '-';
+                    chartStatusElement.className = 'ml-auto text-xs text-gray-400';
+                }
+            }
+
             // 更新进度
             const progressElement = document.getElementById('taskProgress');
             if (progressElement && taskInfo.progress !== undefined) {
@@ -419,7 +669,7 @@
                     }
                 }
             } catch (e) {
-                console.log('[Task] 获取GPU信息失败:', e);
+                // GPU信息获取失败，静默处理
             }
 
             // 更新数据集信息
@@ -452,9 +702,15 @@
             }
 
             // 其他信息
-            document.getElementById('processId').textContent = taskInfo.process_id || '-';
-            document.getElementById('createTime').textContent = taskInfo.create_time ?
-                new Date(taskInfo.create_time).toLocaleString('zh-CN') : '-';
+            const processIdElement = document.getElementById('processId');
+            if (processIdElement) {
+                processIdElement.textContent = taskInfo.process_id || '-';
+            }
+            const createTimeElement = document.getElementById('createTime');
+            if (createTimeElement) {
+                createTimeElement.textContent = taskInfo.create_time ?
+                    new Date(taskInfo.create_time).toLocaleString('zh-CN') : '-';
+            }
 
             // 获取模型名称
             if (taskInfo.base_model) {
@@ -464,31 +720,33 @@
 
         // 加载模型名称
         async function loadModelName(modelId) {
+            const baseModelElement = document.getElementById('baseModel');
+            if (!baseModelElement) return;
+
             try {
                 const response = await fetchWithTimeout(`${API_BASE}/model-manage`);
                 const result = await response.json();
                 if (result.code === 0 && result.data) {
                     const model = result.data.find(m => m.id == modelId);
-                    document.getElementById('baseModel').textContent = model ? model.name : `模型${modelId}`;
+                    baseModelElement.textContent = model ? model.name : `模型${modelId}`;
                 }
             } catch (e) {
-                document.getElementById('baseModel').textContent = `模型${modelId}`;
+                baseModelElement.textContent = `模型${modelId}`;
             }
         }
 
         // 加载日志内容
         async function loadLogContent() {
-            console.log('[Log] loadLogContent called');
-            console.log('[Log] taskInfo:', taskInfo);
-            console.log('[Log] taskInfo.process_id:', taskInfo ? taskInfo.process_id : 'taskInfo is null');
+            const logContentElement = document.getElementById('logContent');
 
             // 检查 taskInfo 是否存在
             if (!taskInfo) {
-                console.log('[Log] taskInfo 为空，等待任务信息加载...');
                 // 尝试重新加载任务信息
                 await loadTaskInfo();
                 if (!taskInfo) {
-                    document.getElementById('logContent').innerHTML = '<span class="text-gray-400">无法获取任务信息</span>';
+                    if (logContentElement) {
+                        logContentElement.innerHTML = '<span class="text-gray-400">无法获取任务信息</span>';
+                    }
                     return;
                 }
             }
@@ -499,25 +757,23 @@
 
             if (!processId && !taskName) {
                 const msg = '<span class="text-gray-400">暂无日志文件 (任务未开始或无进程ID)</span>';
-                document.getElementById('logContent').innerHTML = msg;
+                if (logContentElement) {
+                    logContentElement.innerHTML = msg;
+                }
                 return;
             }
 
             try {
-                console.log('[Log] Fetching training log files...');
                 const response = await fetchWithTimeout(`${API_BASE}/training-log-files`);
                 const result = await response.json();
 
                 if (result.code === 0 && result.data) {
-                    console.log('[Log] Training log files:', result.data);
-
                     // 优先使用进程ID匹配文件名
                     let selectedFile = null;
 
                     if (processId) {
                         const pidStr = processId.toString();
                         for (const file of result.data) {
-                            console.log(`[Log] Checking file: ${file.file}, PID: ${file.pid}, Match: ${file.file.startsWith(pidStr + '_') || file.file.includes(pidStr)}`);
                             if (file.file.startsWith(pidStr + '_') || file.file.includes(`_${pidStr}_`) || file.file.endsWith(`_${pidStr}.log`)) {
                                 selectedFile = file.file;
                                 break;
@@ -538,60 +794,73 @@
                     // 如果仍然没有找到，使用第一个文件
                     if (!selectedFile && result.data.length > 0) {
                         selectedFile = result.data[0].file;
-                        console.log('[Log] No matching file found, using first available file:', selectedFile);
                     }
 
                     if (selectedFile) {
-                        console.log('[Log] Selected log file:', selectedFile);
                         await loadLogFileContent(selectedFile);
                     } else {
-                        document.getElementById('logContent').innerHTML = '<span class="text-gray-400">未找到匹配的日志文件</span>';
+                        if (logContentElement) {
+                            logContentElement.innerHTML = '<span class="text-gray-400">未找到匹配的日志文件</span>';
+                        }
                     }
                 } else {
-                    document.getElementById('logContent').innerHTML = '<span class="text-gray-400">获取日志列表失败: ' + (result.message || '未知错误') + '</span>';
+                    if (logContentElement) {
+                        logContentElement.innerHTML = '<span class="text-gray-400">获取日志列表失败: ' + (result.message || '未知错误') + '</span>';
+                    }
                 }
             } catch (error) {
                 console.error('[Log] 获取日志列表失败:', error);
-                document.getElementById('logContent').innerHTML = '<span class="text-red-500">加载日志失败: ' + error.message + '</span>';
+                if (logContentElement) {
+                    logContentElement.innerHTML = '<span class="text-red-500">加载日志失败: ' + error.message + '</span>';
+                }
             }
         }
 
         // 加载日志文件内容
         async function loadLogFileContent(fileName) {
-            console.log('[Log] Loading log file:', fileName);
+            const logContentElement = document.getElementById('logContent');
             try {
                 const response = await fetchWithTimeout(`${API_BASE}/training-log-content?file=${encodeURIComponent(fileName)}`);
                 const result = await response.json();
-                console.log('[Log] Log content API response:', result);
 
                 if (result.code === 0 && result.data) {
                     trainingLogFullContent = result.data.content || '';
-                    console.log('[Log] Log content length:', trainingLogFullContent.length);
                     renderLogContent();
                     // 解析并更新图表
                     parseMetricsFromLog(trainingLogFullContent);
+                    // 解析并更新训练总结
+                    const taskStatus = taskInfo ? taskInfo.status : 'running';
+                    parseTrainSummary(trainingLogFullContent, taskStatus);
                 } else if (result.code === 2) {
                     // 文件被锁定，正在训练中
-                    document.getElementById('logContent').innerHTML = `
-                        <div class="text-orange-500 p-4 text-center">
-                            <i class="fa fa-spinner fa-spin fa-2x mb-2"></i>
-                            <p class="text-lg">日志文件正在被训练进程占用</p>
-                            <p class="text-sm text-gray-500 mt-1">${result.message || '训练结束后可查看完整内容'}</p>
-                            <p class="text-xs text-gray-400 mt-2">页面将自动刷新...</p>
-                        </div>
-                    `;
+                    if (logContentElement) {
+                        logContentElement.innerHTML = `
+                            <div class="text-orange-500 p-4 text-center">
+                                <i class="fa fa-spinner fa-spin fa-2x mb-2"></i>
+                                <p class="text-lg">日志文件正在被训练进程占用</p>
+                                <p class="text-sm text-gray-500 mt-1">${result.message || '训练结束后可查看完整内容'}</p>
+                                <p class="text-xs text-gray-400 mt-2">页面将自动刷新...</p>
+                            </div>
+                        `;
+                    }
                 } else {
-                    document.getElementById('logContent').innerHTML = '<span class="text-red-500">加载日志失败: ' + (result.message || '未知错误') + '</span>';
+                    if (logContentElement) {
+                        logContentElement.innerHTML = '<span class="text-red-500">加载日志失败: ' + (result.message || '未知错误') + '</span>';
+                    }
                 }
             } catch (error) {
                 console.error('[Log] 获取日志内容失败:', error);
-                document.getElementById('logContent').innerHTML = '<span class="text-red-500">加载日志失败: ' + error.message + '</span>';
+                if (logContentElement) {
+                    logContentElement.innerHTML = '<span class="text-red-500">加载日志失败: ' + error.message + '</span>';
+                }
             }
         }
 
         // 渲染日志内容
         function renderLogContent() {
             const logContent = document.getElementById('logContent');
+            if (!logContent) return;
+
             const searchInput = document.getElementById('logSearchInput');
             const searchText = searchInput ? searchInput.value.toLowerCase() : '';
 
@@ -648,9 +917,6 @@
 
         // 搜索日志
         function searchLog() {
-            console.log('[Search] 搜索触发，trainingLogFullContent:', trainingLogFullContent ? '已加载' : '未加载');
-            const searchInput = document.getElementById('logSearchInput');
-            console.log('[Search] 搜索文本:', searchInput ? searchInput.value : '输入框未找到');
             renderLogContent();
         }
 
@@ -663,24 +929,18 @@
 
         // 页面加载完成后初始化
         function startApp() {
-            console.log('[App] startApp called');
-            console.log('[App] Chart available:', typeof Chart !== 'undefined');
-
             // 等待 Chart.js 加载完成（最多等待5秒）
             let waitCount = 0;
             const maxWait = 50; // 50 * 100ms = 5秒
 
             function waitForChart() {
                 if (typeof Chart !== 'undefined') {
-                    console.log('[App] Chart.js 已加载，开始初始化');
                     initCharts();
                     init();
                 } else if (waitCount < maxWait) {
                     waitCount++;
-                    console.log('[App] 等待 Chart.js 加载... (' + waitCount + ')');
                     setTimeout(waitForChart, 100);
                 } else {
-                    console.error('[App] Chart.js 加载超时');
                     document.getElementById('chartsContainer').innerHTML = '<div class="text-center p-4 text-red-500"><i class="fa fa-exclamation-triangle mr-2"></i>图表库加载失败，请检查网络或刷新页面</div>';
                     // 仍然初始化其他功能
                     init();
@@ -692,7 +952,6 @@
                 initCharts();
                 init();
             } else {
-                console.log('[App] Chart.js 尚未加载，开始等待...');
                 setTimeout(waitForChart, 100);
             }
         }
@@ -709,7 +968,6 @@
             fetch(`${API_BASE}/fine-tune/tensorboard/start`, { method: 'POST' })
                 .then(res => res.json())
                 .then(result => {
-                    console.log('TensorBoard启动结果:', result);
                     if (result.code === 0) {
                         // 跳转到TensorBoard页面
                         window.open(TB_URL, '_blank');
@@ -722,7 +980,6 @@
                     }
                 })
                 .catch(err => {
-                    console.error('启动TensorBoard失败:', err);
                     alert('提示: 启动失败 - ' + err.message);
                     btn.innerHTML = '<i class="fa fa-bar-chart mr-1"></i>TensorBoard';
                     btn.className = 'bg-purple-500 text-white px-4 py-2 rounded hover:bg-purple-600 transition-colors text-sm';