61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
# 读取 Doc目录 数据库-2015-2024-v2.xlsx 文件内容
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# pip install openpyxl
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import openpyxl
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from Config.Config import EXCEL_PATH
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from Util.AreaUtil import query_area_info
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file_name = EXCEL_PATH
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# 初始化统计变量
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success_count = 0
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error_count = 0
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error_details = []
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# 读取Excel文件并获取所有sheet名称
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try:
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# 加载工作簿
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workbook = openpyxl.load_workbook(file_name, read_only=True)
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sheet_names = workbook.sheetnames
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if sheet_names:
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first_sheet = workbook[sheet_names[0]]
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# 读取所有行数据
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rows = list(first_sheet.iter_rows(values_only=True))
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total_count = len(rows[2:]) # 排除表头的总数据行数
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# 跳过前两行表头，从第三行开始处理数据
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for row_num, row in enumerate(rows[2:], start=3):
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# 假设行政区划名称在第一列（索引0）
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if row and row[0]:
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area_name = row[0]
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result = query_area_info(area_name)
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if result:
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success_count += 1
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print(f"✅ 行 {row_num}: {area_name} -> 全称: {result['full_name']}, 行政区划码: {result['area_code']}")
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else:
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error_count += 1
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error_details.append(f"行 {row_num}: '{area_name}'")
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print(f"❌ 行 {row_num}: 未找到 '{area_name}' 的相关信息")
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# 输出汇总结果
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print("\n==================== 匹配结果汇总 ====================")
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print(f"📊 总记录数: {total_count}, 成功匹配: {success_count}, 匹配失败: {error_count}")
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print(f"📈 匹配成功率: {success_count/total_count*100:.2f}%\n")
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if error_details:
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print("❌ 匹配失败详情:")
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for detail in error_details:
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print(f" - {detail}")
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else:
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print("✅ 所有记录均成功匹配!")
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workbook.close()
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except FileNotFoundError:
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print(f"🔴 错误：找不到文件 '{file_name}'")
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except Exception as e:
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print(f"🔴 读取Excel时发生错误：{str(e)}")
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