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("};")