Initial commit: MSH System\n\n- msh_single_uniapp: Vue 2 + UniApp 前端（微信小程序/H5/App/支付宝小程序）\n- msh_crmeb_22: Spring Boot 2.2 后端（C端API/管理端/业务逻辑）\n- models-integration: AI服务集成（Coze/KieAI/腾讯ASR）\n- docs: 产品文档与设计稿

models-integration/read_excel_correct.py

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+import pandas as pd
+
+# 读取Excel文件
+file_path = '/Users/a123/Documents/UthinkJava2025/xbb-api-demo/sql/名称代码对应表.xls'
+df = pd.read_excel(file_path)
+
+# 清理列名中的特殊字符
+df.columns = [col.replace('\x00', '') for col in df.columns]
+
+# 打印列名
+print("列名:")
+for i, col in enumerate(df.columns):
+    print(f"{i+1}. {col}")
+
+# 打印前几行数据
+print("\n前5行数据:")
+print(df.head())
+
+# 构建替换映射数组
+name_code_map = []
+for index, row in df.iterrows():
+    # 假设第一列是名称，第二列是代码
+    if len(df.columns) >= 3:  # 序号、名称、代码三列
+        name = str(row.iloc[1]) if not pd.isna(row.iloc[1]) else ''  # 名称在第二列
+        code = str(row.iloc[2]) if not pd.isna(row.iloc[2]) else ''  # 代码在第三列
+        if name and code:
+            name_code_map.append((name.strip(), code.strip()))
+
+print("\n名称代码对应关系:")
+for name, code in name_code_map[:10]:  # 只打印前10个
+    print(f"{name} -> {code}")
+print(f"总共 {len(name_code_map)} 个映射关系")
+
+# 生成Java代码
+print("\n生成的Java代码:")
+print("private static final String[][] NAME_CODE_MAP = {")
+for name, code in name_code_map:
+    print(f'    {{"{name}", "{code}"}},')
+print("};")