diff --git a/AI/Text2Sql/Util/SaveToExcel.py b/AI/Text2Sql/Util/SaveToExcel.py
index 1e42c8da..31c497ad 100644
--- a/AI/Text2Sql/Util/SaveToExcel.py
+++ b/AI/Text2Sql/Util/SaveToExcel.py
@@ -1,7 +1,6 @@
-import pandas as pd
 from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
 from openpyxl.utils import get_column_letter
-
+import pandas as pd
 
 def save_to_excel(data, filename):
     """
@@ -51,7 +50,15 @@ def save_to_excel(data, filename):
                 cell.font = data_font
                 cell.alignment = Alignment(vertical='center', wrap_text=True)
 
-        # 设置列宽（所有列固定50）
-        for idx, column in enumerate(worksheet.columns):
+        # 动态设置列宽
+        for idx, column in enumerate(df.columns):
+            # 获取列的最大长度
+            max_length = max(
+                df[column].astype(str).map(len).max(),  # 数据列的最大长度
+                len(str(column))  # 列名的长度
+            )
+            # 计算列宽，确保在 10 到 120 之间
+            column_width = min(max(max_length + 2, 10)*2, 120)  # 加 2 是为了留出一些空白
+            # 设置列宽
             column_letter = get_column_letter(idx + 1)
-            worksheet.column_dimensions[column_letter].width = 50  # 所有列固定50
+            worksheet.column_dimensions[column_letter].width = column_width
\ No newline at end of file
diff --git a/AI/Text2Sql/Util/__pycache__/SaveToExcel.cpython-310.pyc b/AI/Text2Sql/Util/__pycache__/SaveToExcel.cpython-310.pyc
index 42bd1064..589d8762 100644
Binary files a/AI/Text2Sql/Util/__pycache__/SaveToExcel.cpython-310.pyc and b/AI/Text2Sql/Util/__pycache__/SaveToExcel.cpython-310.pyc differ
diff --git a/AI/Text2Sql/Util/__pycache__/Text2SqlUtil.cpython-310.pyc b/AI/Text2Sql/Util/__pycache__/Text2SqlUtil.cpython-310.pyc
index 415e80e1..595b310a 100644
Binary files a/AI/Text2Sql/Util/__pycache__/Text2SqlUtil.cpython-310.pyc and b/AI/Text2Sql/Util/__pycache__/Text2SqlUtil.cpython-310.pyc differ
diff --git a/AI/Text2Sql/YunXiao.py b/AI/Text2Sql/YunXiao.py
index 01e4c90f..ea3d8533 100644
--- a/AI/Text2Sql/YunXiao.py
+++ b/AI/Text2Sql/YunXiao.py
@@ -1,100 +1,14 @@
 import os
-import platform
-from Text2Sql.Util.Text2SqlUtil import *
+
 from Text2Sql.Util.PostgreSQLUtil import PostgreSQLUtil
 from Text2Sql.Util.SaveToExcel import save_to_excel
-from pyecharts.charts import Bar
-from pyecharts import options as opts
-from pyecharts.commons.utils import JsCode
-import pandas as pd
-import webbrowser
-
-
-def process_data(raw_data):
-    """
-    处理原始数据：
-    1. 过滤无效行政区
-    2. 按上传数量降序排序
-    3. 取前10名
-    """
-    df = pd.DataFrame(raw_data)
-    df = df[df['行政区划名称'].notna() & (df['行政区划名称'] != '')]
-    df = df.sort_values('上传课程数量', ascending=False).head(10)
-    return df
-
-
-def create_top10_chart(data):
-    # 准备数据
-    schools = data['学校名称'].tolist()
-    counts = data['上传课程数量'].tolist()
-    districts = data['行政区划名称'].tolist()
-
-    # 生成颜色渐变（从深到浅）
-    colors = [f"rgb({75 + i * 15}, {115 - i * 10}, {220 - i * 20})" for i in range(10)]
-
-    # 创建图表
-    bar = Bar(init_opts=opts.InitOpts(width='1200px', height='600px'))
-    bar.add_xaxis(schools)
-    bar.add_yaxis(
-        series_name="上传数量",
-        y_axis=counts,
-        itemstyle_opts=opts.ItemStyleOpts(color=JsCode(
-            "function(params){"
-            f"  return {colors}[params.dataIndex];"
-            "}"
-        )),
-        label_opts=opts.LabelOpts(
-            position="right",
-            formatter=JsCode(
-                "function(params){"
-                "  return params.value + ' (' + params.name.split('').join('\\n') + ')';"
-                "}"
-            )
-        )
-    )
-
-    # 全局配置
-    bar.set_global_opts(
-        title_opts=opts.TitleOpts(
-            title="上传资源数量TOP10学校排名",
-            subtitle="数据来源：课程资源管理系统"
-        ),
-        tooltip_opts=opts.TooltipOpts(
-            formatter=JsCode(
-                """function(params){
-                    return params.name + '<br/>'
-                        + '所属行政区：' + %s[params.dataIndex] + '<br/>'
-                        + '上传数量：<b style="color:#5470C6">' + params.value + '</b>'
-                }""" % districts
-            )
-        ),
-        xaxis_opts=opts.AxisOpts(
-            axislabel_opts=opts.LabelOpts(
-                rotate=30,
-                formatter=JsCode(
-                    "function(value){"
-                    "  return value.length > 6 ? value.substring(0,6)+'...' : value;"
-                    "}"
-                )
-            )
-        ),
-        yaxis_opts=opts.AxisOpts(name="上传数量（件）"),
-        datazoom_opts=[opts.DataZoomOpts(type_="inside")],
-        visualmap_opts=opts.VisualMapOpts(
-            min_=min(counts),
-            max_=max(counts),
-            orient="horizontal",
-            pos_left="center",
-            range_color=["#91CC75", "#5470C6"]
-        )
-    )
-
-    # 反转Y轴使降序排列
-    bar.reversal_axis()
-
-    return bar
-
-
+from Text2Sql.Util.Text2SqlUtil import *
+'''
+经验：
+1、尽量使用宽表，少用关联，越少越好
+2、应该有一些固定的组合用法预置出来，给出范例，让用户可以简单修改后就能使用
+3、应该有类似于 保存为用例，查询历史等功能，让用户方便利旧。
+'''
 if __name__ == "__main__":
     vn = DeepSeekVanna()