'commit'
This commit is contained in:
103
Tools/Full_Original.py
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103
Tools/Full_Original.py
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@@ -0,0 +1,103 @@
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import os
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import sys
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import importlib
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import traceback
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from datetime import datetime
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def run_tool(tool_name):
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"""运行指定的工具脚本"""
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print(f"\n{'='*50}")
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print(f"开始执行 {tool_name}")
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print(f"{'='*50}")
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start_time = datetime.now()
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print(f"开始时间: {start_time.strftime('%Y-%m-%d %H:%M:%S')}")
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try:
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# 导入工具模块
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module = importlib.import_module(tool_name)
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# 执行main函数
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if hasattr(module, 'main'):
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module.main()
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print(f"\n✅ {tool_name} 执行成功")
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else:
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print(f"\n❌ {tool_name} 没有找到main函数")
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return False
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except Exception as e:
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print(f"\n❌ {tool_name} 执行失败: {str(e)}")
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traceback.print_exc()
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return False
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end_time = datetime.now()
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duration = end_time - start_time
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print(f"结束时间: {end_time.strftime('%Y-%m-%d %H:%M:%S')}")
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print(f"耗时: {duration.total_seconds():.2f} 秒")
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return True
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def main():
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"""主函数：依次执行所有工具"""
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print("开始执行全部数据处理工具 (T1-T8)")
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print(f"当前工作目录: {os.getcwd()}")
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# 确保在Tools目录下执行
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tools_dir = os.path.dirname(os.path.abspath(__file__))
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os.chdir(tools_dir)
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print(f"切换到工具目录: {tools_dir}")
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# 将Tools目录添加到Python路径
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if tools_dir not in sys.path:
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sys.path.insert(0, tools_dir)
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# 将项目根目录添加到Python路径
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project_root = os.path.dirname(tools_dir)
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if project_root not in sys.path:
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sys.path.insert(0, project_root)
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# 定义要执行的工具列表
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tools = [
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"T1_RenKou",
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"T2_MaoRuXueLv",
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"T3_SchoolCount",
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"T4_ClassCount",
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"T5_ZhaoShengCount",
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"T6_ZaiXiaoShengCount",
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"T7_TeacherCount",
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"T8_SchoolMianJi"
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]
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# 记录执行结果
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results = {}
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# 依次执行每个工具
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for tool in tools:
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success = run_tool(tool)
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results[tool] = success
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# 如果某个工具执行失败，可以选择是否继续执行后续工具
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if not success:
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print(f"\n⚠️ {tool} 执行失败，但继续执行后续工具...")
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# 打印执行结果摘要
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print("\n" + "="*50)
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print("执行结果摘要")
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print("="*50)
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success_count = sum(1 for result in results.values() if result)
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total_count = len(results)
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for tool, success in results.items():
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status = "✅ 成功" if success else "❌ 失败"
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print(f"{tool}: {status}")
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print(f"\n总计: {success_count}/{total_count} 个工具执行成功")
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if success_count == total_count:
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print("🎉 所有工具执行完成！")
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else:
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print("⚠️ 部分工具执行失败，请检查错误信息")
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if __name__ == "__main__":
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main()
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@@ -12,209 +12,220 @@ from Util.DataUtil import (
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convert_area_name, save_to_json, load_workbook_sheet
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)
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# 创建数据保存目录
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DATA_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'Data')
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os.makedirs(DATA_DIR, exist_ok=True)
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JSON_PATH = os.path.join(DATA_DIR, 'SchoolCount.json') # 学校数JSON路径
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def main():
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"""主函数：提取学校数量数据"""
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# 创建数据保存目录
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DATA_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'Data')
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os.makedirs(DATA_DIR, exist_ok=True)
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JSON_PATH = os.path.join(DATA_DIR, 'SchoolCount.json') # 学校数JSON路径
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file_name = EXCEL_PATH
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school_data = []
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name_conversion_errors = [] # 记录转换失败的名称
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conversion_records = [] # 定义转换记录变量
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file_name = EXCEL_PATH
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school_data = []
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name_conversion_errors = [] # 记录转换失败的名称
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conversion_records = [] # 定义转换记录变量
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workbook = None # 初始化workbook变量，确保在finally块中可以访问
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try:
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# 加载工作簿并选择学校数Sheet
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workbook = openpyxl.load_workbook(file_name, read_only=True)
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if '学校数' not in workbook.sheetnames:
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print("❌ 错误：未找到'学校数'Sheet")
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exit(1)
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sheet = workbook['学校数']
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try:
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# 加载工作簿并选择学校数Sheet
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workbook = openpyxl.load_workbook(file_name, read_only=True)
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if '学校数' not in workbook.sheetnames:
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print("❌ 错误：未找到'学校数'Sheet")
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return
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sheet = workbook['学校数']
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# 定义数据列范围与英文属性映射
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# 每个教育阶段包含：年份列表、列配置（年份→列名映射）、数据类别
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data_columns = {
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# 学前教育（每年份4列：城区/镇区/乡村/总计，取前3列）
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'preschool_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'urban': 'D', 'town': 'E', 'rural': 'F'},
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{'year': 2016, 'urban': 'H', 'town': 'I', 'rural': 'J'},
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{'year': 2017, 'urban': 'L', 'town': 'M', 'rural': 'N'},
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{'year': 2018, 'urban': 'P', 'town': 'Q', 'rural': 'R'},
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{'year': 2019, 'urban': 'T', 'town': 'U', 'rural': 'V'},
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{'year': 2020, 'urban': 'X', 'town': 'Y', 'rural': 'Z'},
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{'year': 2021, 'urban': 'AB', 'town': 'AC', 'rural': 'AD'},
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{'year': 2022, 'urban': 'AF', 'town': 'AG', 'rural': 'AH'},
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{'year': 2023, 'urban': 'AJ', 'town': 'AK', 'rural': 'AL'},
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{'year': 2024, 'urban': 'AN', 'town': 'AO', 'rural': 'AP'}
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],
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'categories': ['urban', 'town', 'rural']
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},
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# 定义数据列范围与英文属性映射
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# 每个教育阶段包含：年份列表、列配置（年份→列名映射）、数据类别
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data_columns = {
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# 学前教育（每年份4列：城区/镇区/乡村/总计，取前3列）
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'preschool_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'urban': 'D', 'town': 'E', 'rural': 'F'},
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{'year': 2016, 'urban': 'H', 'town': 'I', 'rural': 'J'},
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{'year': 2017, 'urban': 'L', 'town': 'M', 'rural': 'N'},
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{'year': 2018, 'urban': 'P', 'town': 'Q', 'rural': 'R'},
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{'year': 2019, 'urban': 'T', 'town': 'U', 'rural': 'V'},
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{'year': 2020, 'urban': 'X', 'town': 'Y', 'rural': 'Z'},
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{'year': 2021, 'urban': 'AB', 'town': 'AC', 'rural': 'AD'},
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{'year': 2022, 'urban': 'AF', 'town': 'AG', 'rural': 'AH'},
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{'year': 2023, 'urban': 'AJ', 'town': 'AK', 'rural': 'AL'},
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{'year': 2024, 'urban': 'AN', 'town': 'AO', 'rural': 'AP'}
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],
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'categories': ['urban', 'town', 'rural']
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},
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# 小学教育（每年份4列，取前3列）
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'primary_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'urban': 'AR', 'town': 'AS', 'rural': 'AT'},
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{'year': 2016, 'urban': 'AV', 'town': 'AW', 'rural': 'AX'},
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{'year': 2017, 'urban': 'AZ', 'town': 'BA', 'rural': 'BB'},
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{'year': 2018, 'urban': 'BD', 'town': 'BE', 'rural': 'BF'},
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{'year': 2019, 'urban': 'BH', 'town': 'BI', 'rural': 'BJ'},
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{'year': 2020, 'urban': 'BL', 'town': 'BM', 'rural': 'BN'},
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{'year': 2021, 'urban': 'BP', 'town': 'BQ', 'rural': 'BR'},
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{'year': 2022, 'urban': 'BT', 'town': 'BU', 'rural': 'BV'},
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{'year': 2023, 'urban': 'BX', 'town': 'BY', 'rural': 'BZ'},
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{'year': 2024, 'urban': 'CB', 'town': 'CC', 'rural': 'CD'}
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],
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'categories': ['urban', 'town', 'rural']
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},
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# 小学教育（每年份4列，取前3列）
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'primary_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'urban': 'AR', 'town': 'AS', 'rural': 'AT'},
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{'year': 2016, 'urban': 'AV', 'town': 'AW', 'rural': 'AX'},
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{'year': 2017, 'urban': 'AZ', 'town': 'BA', 'rural': 'BB'},
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{'year': 2018, 'urban': 'BD', 'town': 'BE', 'rural': 'BF'},
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{'year': 2019, 'urban': 'BH', 'town': 'BI', 'rural': 'BJ'},
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{'year': 2020, 'urban': 'BL', 'town': 'BM', 'rural': 'BN'},
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{'year': 2021, 'urban': 'BP', 'town': 'BQ', 'rural': 'BR'},
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{'year': 2022, 'urban': 'BT', 'town': 'BU', 'rural': 'BV'},
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{'year': 2023, 'urban': 'BX', 'town': 'BY', 'rural': 'BZ'},
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{'year': 2024, 'urban': 'CB', 'town': 'CC', 'rural': 'CD'}
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],
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'categories': ['urban', 'town', 'rural']
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},
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# 初中教育
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'junior_high_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'urban': 'CF', 'town': 'CG', 'rural': 'CH'},
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{'year': 2016, 'urban': 'CJ', 'town': 'CK', 'rural': 'CL'},
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{'year': 2017, 'urban': 'CN', 'town': 'CO', 'rural': 'CP'},
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{'year': 2018, 'urban': 'CR', 'town': 'CS', 'rural': 'CT'},
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{'year': 2019, 'urban': 'CV', 'town': 'CW', 'rural': 'CX'},
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{'year': 2020, 'urban': 'CZ', 'town': 'DA', 'rural': 'DB'},
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{'year': 2021, 'urban': 'DD', 'town': 'DE', 'rural': 'DF'},
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{'year': 2022, 'urban': 'DH', 'town': 'DI', 'rural': 'DJ'},
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{'year': 2023, 'urban': 'DL', 'town': 'DM', 'rural': 'DN'},
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{'year': 2024, 'urban': 'DP', 'town': 'DQ', 'rural': 'DR'}
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],
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'categories': ['urban', 'town', 'rural']
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},
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# 初中教育
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'junior_high_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'urban': 'CF', 'town': 'CG', 'rural': 'CH'},
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{'year': 2016, 'urban': 'CJ', 'town': 'CK', 'rural': 'CL'},
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{'year': 2017, 'urban': 'CN', 'town': 'CO', 'rural': 'CP'},
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{'year': 2018, 'urban': 'CR', 'town': 'CS', 'rural': 'CT'},
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{'year': 2019, 'urban': 'CV', 'town': 'CW', 'rural': 'CX'},
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{'year': 2020, 'urban': 'CZ', 'town': 'DA', 'rural': 'DB'},
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{'year': 2021, 'urban': 'DD', 'town': 'DE', 'rural': 'DF'},
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{'year': 2022, 'urban': 'DH', 'town': 'DI', 'rural': 'DJ'},
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{'year': 2023, 'urban': 'DL', 'town': 'DM', 'rural': 'DN'},
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{'year': 2024, 'urban': 'DP', 'town': 'DQ', 'rural': 'DR'}
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],
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'categories': ['urban', 'town', 'rural']
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},
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# 普通高中教育
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'senior_high_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'urban': 'DT', 'town': 'DU', 'rural': 'DV'},
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{'year': 2016, 'urban': 'DX', 'town': 'DY', 'rural': 'DZ'},
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{'year': 2017, 'urban': 'EB', 'town': 'EC', 'rural': 'ED'},
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{'year': 2018, 'urban': 'EF', 'town': 'EG', 'rural': 'EH'},
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{'year': 2019, 'urban': 'EJ', 'town': 'EK', 'rural': 'EL'},
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{'year': 2020, 'urban': 'EN', 'town': 'EO', 'rural': 'EP'},
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{'year': 2021, 'urban': 'ER', 'town': 'ES', 'rural': 'ET'},
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{'year': 2022, 'urban': 'EV', 'town': 'EW', 'rural': 'EX'},
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{'year': 2023, 'urban': 'EZ', 'town': 'FA', 'rural': 'FB'},
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{'year': 2024, 'urban': 'FD', 'town': 'FE', 'rural': 'FF'}
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],
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'categories': ['urban', 'town', 'rural']
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},
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# 普通高中教育
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'senior_high_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'urban': 'DT', 'town': 'DU', 'rural': 'DV'},
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{'year': 2016, 'urban': 'DX', 'town': 'DY', 'rural': 'DZ'},
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{'year': 2017, 'urban': 'EB', 'town': 'EC', 'rural': 'ED'},
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{'year': 2018, 'urban': 'EF', 'town': 'EG', 'rural': 'EH'},
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{'year': 2019, 'urban': 'EJ', 'town': 'EK', 'rural': 'EL'},
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{'year': 2020, 'urban': 'EN', 'town': 'EO', 'rural': 'EP'},
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{'year': 2021, 'urban': 'ER', 'town': 'ES', 'rural': 'ET'},
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{'year': 2022, 'urban': 'EV', 'town': 'EW', 'rural': 'EX'},
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{'year': 2023, 'urban': 'EZ', 'town': 'FA', 'rural': 'FB'},
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{'year': 2024, 'urban': 'FD', 'town': 'FE', 'rural': 'FF'}
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],
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'categories': ['urban', 'town', 'rural']
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},
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# 中职教育（特殊：每年份1列）
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'vocational_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'column': 'FH'},
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{'year': 2016, 'column': 'FI'},
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{'year': 2017, 'column': 'FJ'},
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{'year': 2018, 'column': 'FK'},
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{'year': 2019, 'column': 'FL'},
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{'year': 2020, 'column': 'FM'},
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{'year': 2021, 'column': 'FN'},
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{'year': 2022, 'column': 'FO'},
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{'year': 2023, 'column': 'FP'},
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{'year': 2024, 'column': 'FQ'}
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]
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}
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}
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# 遍历数据行（跳过前4行表头，与T4_2保持一致）
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for row_num, row in enumerate(sheet.iter_rows(min_row=4, values_only=True), start=4):
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# 区域名称从B列获取（索引1）
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raw_name = row[1] if (len(row) > 1 and row[1] is not None) else '未知地区'
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if not raw_name: # 跳过空行
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continue
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# 区域名称转换
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str_raw_name = str(raw_name).strip() if raw_name is not None else '未知地区'
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area_info = query_area_info(str_raw_name)
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if area_info:
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area_name = area_info['full_name']
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area_code = area_info['area_code']
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if raw_name != area_name:
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conversion_records.append({
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'row': row_num,
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'raw_name': raw_name,
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'converted_name': area_name
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})
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else:
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area_name = raw_name
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area_code = 'unknown'
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name_conversion_errors.append(f"行 {row_num}: '{raw_name}'")
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area_data = {
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'area_name': area_name,
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'area_code': area_code,
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'raw_name': raw_name
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# 中职教育（特殊：每年份1列）
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'vocational_schools': {
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'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
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'columns': [
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{'year': 2015, 'column': 'FH'},
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{'year': 2016, 'column': 'FI'},
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{'year': 2017, 'column': 'FJ'},
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{'year': 2018, 'column': 'FK'},
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{'year': 2019, 'column': 'FL'},
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{'year': 2020, 'column': 'FM'},
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{'year': 2021, 'column': 'FN'},
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{'year': 2022, 'column': 'FO'},
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{'year': 2023, 'column': 'FP'},
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{'year': 2024, 'column': 'FQ'}
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]
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}
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}
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# 提取各教育阶段数据
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for stage, config in data_columns.items():
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stage_data = {}
|
||||
# 处理学前/小学/初中/高中（多类别）
|
||||
if 'categories' in config:
|
||||
for year_config in config['columns']:
|
||||
year = year_config['year']
|
||||
year_data = {}
|
||||
for category in config['categories']:
|
||||
col_name = year_config[category]
|
||||
# 遍历数据行（跳过前4行表头，与T4_2保持一致）
|
||||
for row_num, row in enumerate(sheet.iter_rows(min_row=4, values_only=True), start=4):
|
||||
# 区域名称从B列获取（索引1）
|
||||
raw_name = row[1] if (len(row) > 1 and row[1] is not None) else '未知地区'
|
||||
if not raw_name: # 跳过空行
|
||||
continue
|
||||
|
||||
# 区域名称转换
|
||||
str_raw_name = str(raw_name).strip() if raw_name is not None else '未知地区'
|
||||
area_info = query_area_info(str_raw_name)
|
||||
if area_info:
|
||||
area_name = area_info['full_name']
|
||||
area_code = area_info['area_code']
|
||||
if raw_name != area_name:
|
||||
conversion_records.append({
|
||||
'row': row_num,
|
||||
'raw_name': raw_name,
|
||||
'converted_name': area_name
|
||||
})
|
||||
else:
|
||||
area_name = raw_name
|
||||
area_code = 'unknown'
|
||||
name_conversion_errors.append(f"行 {row_num}: '{raw_name}'")
|
||||
|
||||
area_data = {
|
||||
'area_name': area_name,
|
||||
'area_code': area_code,
|
||||
'raw_name': raw_name
|
||||
}
|
||||
|
||||
# 提取各教育阶段数据
|
||||
for stage, config in data_columns.items():
|
||||
stage_data = {}
|
||||
# 处理学前/小学/初中/高中（多类别）
|
||||
if 'categories' in config:
|
||||
for year_config in config['columns']:
|
||||
year = year_config['year']
|
||||
year_data = {}
|
||||
for category in config['categories']:
|
||||
col_name = year_config[category]
|
||||
col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
|
||||
if col_idx < len(row):
|
||||
value = row[col_idx]
|
||||
# 数据清洗
|
||||
if value is None:
|
||||
year_data[category] = 0
|
||||
else:
|
||||
str_value = str(value).strip()
|
||||
if str_value in ['', '####']:
|
||||
year_data[category] = 0
|
||||
else:
|
||||
year_data[category] = int(str_value) if str_value.isdigit() else 0
|
||||
stage_data[str(year)] = year_data
|
||||
# 处理中职教育（单值）
|
||||
else:
|
||||
for year_config in config['columns']:
|
||||
year = year_config['year']
|
||||
col_name = year_config['column']
|
||||
col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
|
||||
if col_idx < len(row):
|
||||
value = row[col_idx]
|
||||
# 数据清洗
|
||||
if value is None:
|
||||
year_data[category] = 0
|
||||
stage_data[str(year)] = 0
|
||||
else:
|
||||
str_value = str(value).strip()
|
||||
if str_value in ['', '####']:
|
||||
year_data[category] = 0
|
||||
else:
|
||||
year_data[category] = int(str_value) if str_value.isdigit() else 0
|
||||
stage_data[str(year)] = year_data
|
||||
# 处理中职教育（单值）
|
||||
else:
|
||||
for year_config in config['columns']:
|
||||
year = year_config['year']
|
||||
col_name = year_config['column']
|
||||
col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
|
||||
if col_idx < len(row):
|
||||
value = row[col_idx]
|
||||
if value is None:
|
||||
stage_data[str(year)] = 0
|
||||
else:
|
||||
str_value = str(value).strip()
|
||||
stage_data[str(year)] = int(str_value) if str_value.isdigit() else 0
|
||||
area_data[stage] = stage_data
|
||||
stage_data[str(year)] = int(str_value) if str_value.isdigit() else 0
|
||||
area_data[stage] = stage_data
|
||||
|
||||
school_data.append(area_data)
|
||||
school_data.append(area_data)
|
||||
|
||||
workbook.close()
|
||||
# 保存JSON
|
||||
with open(JSON_PATH, 'w', encoding='utf-8') as f:
|
||||
json.dump(school_data, f, ensure_ascii=False, indent=2)
|
||||
|
||||
# 保存JSON
|
||||
with open(JSON_PATH, 'w', encoding='utf-8') as f:
|
||||
json.dump(school_data, f, ensure_ascii=False, indent=2)
|
||||
# 输出统计信息
|
||||
print(f"✅ 学校数数据提取完成，已保存至：{JSON_PATH}")
|
||||
print(f"📊 共处理 {len(school_data)} 条地区数据")
|
||||
print("\n=== 名称转换记录 ===")
|
||||
if conversion_records:
|
||||
for record in conversion_records:
|
||||
print(f"🔄 行 {record['row']}: {record['raw_name']} → {record['converted_name']}")
|
||||
print(f"📊 共检测到 {len(conversion_records)} 项名称转换")
|
||||
else:
|
||||
print("📝 不存在名称转换的情况")
|
||||
if name_conversion_errors:
|
||||
print(f"⚠️ 发现 {len(name_conversion_errors)} 个区域名称转换失败：")
|
||||
for error in name_conversion_errors:
|
||||
print(f" - {error}")
|
||||
|
||||
# 输出统计信息
|
||||
print(f"✅ 学校数数据提取完成，已保存至：{JSON_PATH}")
|
||||
print(f"📊 共处理 {len(school_data)} 条地区数据")
|
||||
print("\n=== 名称转换记录 ===")
|
||||
if conversion_records:
|
||||
for record in conversion_records:
|
||||
print(f"🔄 行 {record['row']}: {record['raw_name']} → {record['converted_name']}")
|
||||
print(f"📊 共检测到 {len(conversion_records)} 项名称转换")
|
||||
else:
|
||||
print("📝 不存在名称转换的情况")
|
||||
if name_conversion_errors:
|
||||
print(f"⚠️ 发现 {len(name_conversion_errors)} 个区域名称转换失败：")
|
||||
for error in name_conversion_errors:
|
||||
print(f" - {error}")
|
||||
except FileNotFoundError:
|
||||
print(f"🔴 错误：Excel文件 '{file_name}' 不存在")
|
||||
except Exception as e:
|
||||
print(f"🔴 处理数据时发生错误：{str(e)}{traceback.format_exc()}") # 修复：添加闭合引号
|
||||
finally:
|
||||
try:
|
||||
if workbook:
|
||||
workbook.close()
|
||||
except:
|
||||
pass
|
||||
|
||||
except FileNotFoundError:
|
||||
print(f"🔴 错误：Excel文件 '{file_name}' 不存在")
|
||||
except Exception as e:
|
||||
print(f"🔴 处理数据时发生错误：{str(e)}{traceback.format_exc()}") # 修复：添加闭合引号
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -6,266 +6,272 @@ import traceback
|
||||
from Config.Config import EXCEL_PATH
|
||||
from Util.AreaUtil import query_area_info
|
||||
|
||||
# 创建数据保存目录
|
||||
DATA_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'Data')
|
||||
os.makedirs(DATA_DIR, exist_ok=True)
|
||||
JSON_PATH = os.path.join(DATA_DIR, 'SchoolArea.json') # 修改为学校面积的JSON路径
|
||||
def main():
|
||||
"""主函数：提取学校面积数据"""
|
||||
# 创建数据保存目录
|
||||
DATA_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'Data')
|
||||
os.makedirs(DATA_DIR, exist_ok=True)
|
||||
JSON_PATH = os.path.join(DATA_DIR, 'SchoolArea.json') # 修改为学校面积的JSON路径
|
||||
|
||||
file_name = EXCEL_PATH
|
||||
area_data = []
|
||||
name_conversion_errors = [] # 记录转换失败的名称
|
||||
conversion_records = [] # 定义转换记录变量
|
||||
file_name = EXCEL_PATH
|
||||
area_data = []
|
||||
name_conversion_errors = [] # 记录转换失败的名称
|
||||
conversion_records = [] # 定义转换记录变量
|
||||
|
||||
workbook = None # 初始化workbook变量，确保在finally块中可以访问
|
||||
|
||||
try:
|
||||
# 加载工作簿并选择学校面积、教学辅助房面积Sheet
|
||||
workbook = openpyxl.load_workbook(file_name, data_only=True)
|
||||
if '学校面积、教学辅助房面积' not in workbook.sheetnames:
|
||||
print("❌ 错误：未找到'学校面积、教学辅助房面积'Sheet")
|
||||
exit(1)
|
||||
sheet = workbook['学校面积、教学辅助房面积']
|
||||
try:
|
||||
# 加载工作簿并选择学校面积、教学辅助房面积Sheet
|
||||
workbook = openpyxl.load_workbook(file_name, data_only=True)
|
||||
if '学校面积、教学辅助房面积' not in workbook.sheetnames:
|
||||
print("❌ 错误：未找到'学校面积、教学辅助房面积'Sheet")
|
||||
return
|
||||
sheet = workbook['学校面积、教学辅助房面积']
|
||||
|
||||
# 定义数据列范围与英文属性映射
|
||||
data_columns = {
|
||||
# 学前教育（每年份8列：学校占地面积[总计/城区/镇区/乡村]，教学及辅助用房[总计/城区/镇区/乡村]）
|
||||
'preschool_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'D', 'school_urban': 'E', 'school_town': 'F', 'school_rural': 'G', 'teaching_total': 'H', 'teaching_urban': 'I', 'teaching_town': 'J', 'teaching_rural': 'K'},
|
||||
{'year': 2016, 'school_total': 'L', 'school_urban': 'M', 'school_town': 'N', 'school_rural': 'O', 'teaching_total': 'P', 'teaching_urban': 'Q', 'teaching_town': 'R', 'teaching_rural': 'S'},
|
||||
{'year': 2017, 'school_total': 'T', 'school_urban': 'U', 'school_town': 'V', 'school_rural': 'W', 'teaching_total': 'X', 'teaching_urban': 'Y', 'teaching_town': 'Z', 'teaching_rural': 'AA'},
|
||||
{'year': 2018, 'school_total': 'AB', 'school_urban': 'AC', 'school_town': 'AD', 'school_rural': 'AE', 'teaching_total': 'AF', 'teaching_urban': 'AG', 'teaching_town': 'AH', 'teaching_rural': 'AI'},
|
||||
{'year': 2019, 'school_total': 'AJ', 'school_urban': 'AK', 'school_town': 'AL', 'school_rural': 'AM', 'teaching_total': 'AN', 'teaching_urban': 'AO', 'teaching_town': 'AP', 'teaching_rural': 'AQ'},
|
||||
{'year': 2020, 'school_total': 'AR', 'school_urban': 'AS', 'school_town': 'AT', 'school_rural': 'AU', 'teaching_total': 'AV', 'teaching_urban': 'AW', 'teaching_town': 'AX', 'teaching_rural': 'AY'},
|
||||
{'year': 2021, 'school_total': 'AZ', 'school_urban': 'BA', 'school_town': 'BB', 'school_rural': 'BC', 'teaching_total': 'BD', 'teaching_urban': 'BE', 'teaching_town': 'BF', 'teaching_rural': 'BG'},
|
||||
{'year': 2022, 'school_total': 'BH', 'school_urban': 'BI', 'school_town': 'BJ', 'school_rural': 'BK', 'teaching_total': 'BL', 'teaching_urban': 'BM', 'teaching_town': 'BN', 'teaching_rural': 'BO'},
|
||||
{'year': 2023, 'school_total': 'BP', 'school_urban': 'BQ', 'school_town': 'BR', 'school_rural': 'BS', 'teaching_total': 'BT', 'teaching_urban': 'BU', 'teaching_town': 'BV', 'teaching_rural': 'BW'},
|
||||
{'year': 2024, 'school_total': 'BX', 'school_urban': 'BY', 'school_town': 'BZ', 'school_rural': 'CA', 'teaching_total': 'CB', 'teaching_urban': 'CC', 'teaching_town': 'CD', 'teaching_rural': 'CE'}
|
||||
]
|
||||
},
|
||||
# 定义数据列范围与英文属性映射
|
||||
data_columns = {
|
||||
# 学前教育（每年份8列：学校占地面积[总计/城区/镇区/乡村]，教学及辅助用房[总计/城区/镇区/乡村]）
|
||||
'preschool_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'D', 'school_urban': 'E', 'school_town': 'F', 'school_rural': 'G', 'teaching_total': 'H', 'teaching_urban': 'I', 'teaching_town': 'J', 'teaching_rural': 'K'},
|
||||
{'year': 2016, 'school_total': 'L', 'school_urban': 'M', 'school_town': 'N', 'school_rural': 'O', 'teaching_total': 'P', 'teaching_urban': 'Q', 'teaching_town': 'R', 'teaching_rural': 'S'},
|
||||
{'year': 2017, 'school_total': 'T', 'school_urban': 'U', 'school_town': 'V', 'school_rural': 'W', 'teaching_total': 'X', 'teaching_urban': 'Y', 'teaching_town': 'Z', 'teaching_rural': 'AA'},
|
||||
{'year': 2018, 'school_total': 'AB', 'school_urban': 'AC', 'school_town': 'AD', 'school_rural': 'AE', 'teaching_total': 'AF', 'teaching_urban': 'AG', 'teaching_town': 'AH', 'teaching_rural': 'AI'},
|
||||
{'year': 2019, 'school_total': 'AJ', 'school_urban': 'AK', 'school_town': 'AL', 'school_rural': 'AM', 'teaching_total': 'AN', 'teaching_urban': 'AO', 'teaching_town': 'AP', 'teaching_rural': 'AQ'},
|
||||
{'year': 2020, 'school_total': 'AR', 'school_urban': 'AS', 'school_town': 'AT', 'school_rural': 'AU', 'teaching_total': 'AV', 'teaching_urban': 'AW', 'teaching_town': 'AX', 'teaching_rural': 'AY'},
|
||||
{'year': 2021, 'school_total': 'AZ', 'school_urban': 'BA', 'school_town': 'BB', 'school_rural': 'BC', 'teaching_total': 'BD', 'teaching_urban': 'BE', 'teaching_town': 'BF', 'teaching_rural': 'BG'},
|
||||
{'year': 2022, 'school_total': 'BH', 'school_urban': 'BI', 'school_town': 'BJ', 'school_rural': 'BK', 'teaching_total': 'BL', 'teaching_urban': 'BM', 'teaching_town': 'BN', 'teaching_rural': 'BO'},
|
||||
{'year': 2023, 'school_total': 'BP', 'school_urban': 'BQ', 'school_town': 'BR', 'school_rural': 'BS', 'teaching_total': 'BT', 'teaching_urban': 'BU', 'teaching_town': 'BV', 'teaching_rural': 'BW'},
|
||||
{'year': 2024, 'school_total': 'BX', 'school_urban': 'BY', 'school_town': 'BZ', 'school_rural': 'CA', 'teaching_total': 'CB', 'teaching_urban': 'CC', 'teaching_town': 'CD', 'teaching_rural': 'CE'}
|
||||
]
|
||||
},
|
||||
|
||||
# 小学教育
|
||||
'primary_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'CF', 'school_urban': 'CG', 'school_town': 'CH', 'school_rural': 'CI', 'teaching_total': 'CJ', 'teaching_urban': 'CK', 'teaching_town': 'CL', 'teaching_rural': 'CM'},
|
||||
{'year': 2016, 'school_total': 'CN', 'school_urban': 'CO', 'school_town': 'CP', 'school_rural': 'CQ', 'teaching_total': 'CR', 'teaching_urban': 'CS', 'teaching_town': 'CT', 'teaching_rural': 'CU'},
|
||||
{'year': 2017, 'school_total': 'CV', 'school_urban': 'CW', 'school_town': 'CX', 'school_rural': 'CY', 'teaching_total': 'CZ', 'teaching_urban': 'DA', 'teaching_town': 'DB', 'teaching_rural': 'DC'},
|
||||
{'year': 2018, 'school_total': 'DD', 'school_urban': 'DE', 'school_town': 'DF', 'school_rural': 'DG', 'teaching_total': 'DH', 'teaching_urban': 'DI', 'teaching_town': 'DJ', 'teaching_rural': 'DK'},
|
||||
{'year': 2019, 'school_total': 'DL', 'school_urban': 'DM', 'school_town': 'DN', 'school_rural': 'DO', 'teaching_total': 'DP', 'teaching_urban': 'DQ', 'teaching_town': 'DR', 'teaching_rural': 'DS'},
|
||||
{'year': 2020, 'school_total': 'DT', 'school_urban': 'DU', 'school_town': 'DV', 'school_rural': 'DW', 'teaching_total': 'DX', 'teaching_urban': 'DY', 'teaching_town': 'DZ', 'teaching_rural': 'EA'},
|
||||
{'year': 2021, 'school_total': 'EB', 'school_urban': 'EC', 'school_town': 'ED', 'school_rural': 'EE', 'teaching_total': 'EF', 'teaching_urban': 'EG', 'teaching_town': 'EH', 'teaching_rural': 'EI'},
|
||||
{'year': 2022, 'school_total': 'EJ', 'school_urban': 'EK', 'school_town': 'EL', 'school_rural': 'EM', 'teaching_total': 'EN', 'teaching_urban': 'EO', 'teaching_town': 'EP', 'teaching_rural': 'EQ'},
|
||||
{'year': 2023, 'school_total': 'ER', 'school_urban': 'ES', 'school_town': 'ET', 'school_rural': 'EU', 'teaching_total': 'EV', 'teaching_urban': 'EW', 'teaching_town': 'EX', 'teaching_rural': 'EY'},
|
||||
{'year': 2024, 'school_total': 'EZ', 'school_urban': 'FA', 'school_town': 'FB', 'school_rural': 'FC', 'teaching_total': 'FD', 'teaching_urban': 'FE', 'teaching_town': 'FF', 'teaching_rural': 'FG'}
|
||||
]
|
||||
},
|
||||
# 小学教育
|
||||
'primary_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'CF', 'school_urban': 'CG', 'school_town': 'CH', 'school_rural': 'CI', 'teaching_total': 'CJ', 'teaching_urban': 'CK', 'teaching_town': 'CL', 'teaching_rural': 'CM'},
|
||||
{'year': 2016, 'school_total': 'CN', 'school_urban': 'CO', 'school_town': 'CP', 'school_rural': 'CQ', 'teaching_total': 'CR', 'teaching_urban': 'CS', 'teaching_town': 'CT', 'teaching_rural': 'CU'},
|
||||
{'year': 2017, 'school_total': 'CV', 'school_urban': 'CW', 'school_town': 'CX', 'school_rural': 'CY', 'teaching_total': 'CZ', 'teaching_urban': 'DA', 'teaching_town': 'DB', 'teaching_rural': 'DC'},
|
||||
{'year': 2018, 'school_total': 'DD', 'school_urban': 'DE', 'school_town': 'DF', 'school_rural': 'DG', 'teaching_total': 'DH', 'teaching_urban': 'DI', 'teaching_town': 'DJ', 'teaching_rural': 'DK'},
|
||||
{'year': 2019, 'school_total': 'DL', 'school_urban': 'DM', 'school_town': 'DN', 'school_rural': 'DO', 'teaching_total': 'DP', 'teaching_urban': 'DQ', 'teaching_town': 'DR', 'teaching_rural': 'DS'},
|
||||
{'year': 2020, 'school_total': 'DT', 'school_urban': 'DU', 'school_town': 'DV', 'school_rural': 'DW', 'teaching_total': 'DX', 'teaching_urban': 'DY', 'teaching_town': 'DZ', 'teaching_rural': 'EA'},
|
||||
{'year': 2021, 'school_total': 'EB', 'school_urban': 'EC', 'school_town': 'ED', 'school_rural': 'EE', 'teaching_total': 'EF', 'teaching_urban': 'EG', 'teaching_town': 'EH', 'teaching_rural': 'EI'},
|
||||
{'year': 2022, 'school_total': 'EJ', 'school_urban': 'EK', 'school_town': 'EL', 'school_rural': 'EM', 'teaching_total': 'EN', 'teaching_urban': 'EO', 'teaching_town': 'EP', 'teaching_rural': 'EQ'},
|
||||
{'year': 2023, 'school_total': 'ER', 'school_urban': 'ES', 'school_town': 'ET', 'school_rural': 'EU', 'teaching_total': 'EV', 'teaching_urban': 'EW', 'teaching_town': 'EX', 'teaching_rural': 'EY'},
|
||||
{'year': 2024, 'school_total': 'EZ', 'school_urban': 'FA', 'school_town': 'FB', 'school_rural': 'FC', 'teaching_total': 'FD', 'teaching_urban': 'FE', 'teaching_town': 'FF', 'teaching_rural': 'FG'}
|
||||
]
|
||||
},
|
||||
|
||||
# 初中教育
|
||||
'junior_high_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'FH', 'school_urban': 'FI', 'school_town': 'FJ', 'school_rural': 'FK', 'teaching_total': 'FL', 'teaching_urban': 'FM', 'teaching_town': 'FN', 'teaching_rural': 'FO'},
|
||||
{'year': 2016, 'school_total': 'FP', 'school_urban': 'FQ', 'school_town': 'FR', 'school_rural': 'FS', 'teaching_total': 'FT', 'teaching_urban': 'FU', 'teaching_town': 'FV', 'teaching_rural': 'FW'},
|
||||
{'year': 2017, 'school_total': 'FX', 'school_urban': 'FY', 'school_town': 'FZ', 'school_rural': 'GA', 'teaching_total': 'GB', 'teaching_urban': 'GC', 'teaching_town': 'GD', 'teaching_rural': 'GE'},
|
||||
{'year': 2018, 'school_total': 'GF', 'school_urban': 'GG', 'school_town': 'GH', 'school_rural': 'GI', 'teaching_total': 'GJ', 'teaching_urban': 'GK', 'teaching_town': 'GL', 'teaching_rural': 'GM'},
|
||||
{'year': 2019, 'school_total': 'GN', 'school_urban': 'GO', 'school_town': 'GP', 'school_rural': 'GQ', 'teaching_total': 'GR', 'teaching_urban': 'GS', 'teaching_town': 'GT', 'teaching_rural': 'GU'},
|
||||
{'year': 2020, 'school_total': 'GV', 'school_urban': 'GW', 'school_town': 'GX', 'school_rural': 'GY', 'teaching_total': 'GZ', 'teaching_urban': 'HA', 'teaching_town': 'HB', 'teaching_rural': 'HC'},
|
||||
{'year': 2021, 'school_total': 'HD', 'school_urban': 'HE', 'school_town': 'HF', 'school_rural': 'HG', 'teaching_total': 'HH', 'teaching_urban': 'HI', 'teaching_town': 'HJ', 'teaching_rural': 'HK'},
|
||||
{'year': 2022, 'school_total': 'HL', 'school_urban': 'HM', 'school_town': 'HN', 'school_rural': 'HO', 'teaching_total': 'HP', 'teaching_urban': 'HQ', 'teaching_town': 'HR', 'teaching_rural': 'HS'},
|
||||
{'year': 2023, 'school_total': 'HT', 'school_urban': 'HU', 'school_town': 'HV', 'school_rural': 'HW', 'teaching_total': 'HX', 'teaching_urban': 'HY', 'teaching_town': 'HZ', 'teaching_rural': 'IA'},
|
||||
{'year': 2024, 'school_total': 'IB', 'school_urban': 'IC', 'school_town': 'ID', 'school_rural': 'IE', 'teaching_total': 'IF', 'teaching_urban': 'IG', 'teaching_town': 'IH', 'teaching_rural': 'II'}
|
||||
]
|
||||
},
|
||||
# 初中教育
|
||||
'junior_high_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'FH', 'school_urban': 'FI', 'school_town': 'FJ', 'school_rural': 'FK', 'teaching_total': 'FL', 'teaching_urban': 'FM', 'teaching_town': 'FN', 'teaching_rural': 'FO'},
|
||||
{'year': 2016, 'school_total': 'FP', 'school_urban': 'FQ', 'school_town': 'FR', 'school_rural': 'FS', 'teaching_total': 'FT', 'teaching_urban': 'FU', 'teaching_town': 'FV', 'teaching_rural': 'FW'},
|
||||
{'year': 2017, 'school_total': 'FX', 'school_urban': 'FY', 'school_town': 'FZ', 'school_rural': 'GA', 'teaching_total': 'GB', 'teaching_urban': 'GC', 'teaching_town': 'GD', 'teaching_rural': 'GE'},
|
||||
{'year': 2018, 'school_total': 'GF', 'school_urban': 'GG', 'school_town': 'GH', 'school_rural': 'GI', 'teaching_total': 'GJ', 'teaching_urban': 'GK', 'teaching_town': 'GL', 'teaching_rural': 'GM'},
|
||||
{'year': 2019, 'school_total': 'GN', 'school_urban': 'GO', 'school_town': 'GP', 'school_rural': 'GQ', 'teaching_total': 'GR', 'teaching_urban': 'GS', 'teaching_town': 'GT', 'teaching_rural': 'GU'},
|
||||
{'year': 2020, 'school_total': 'GV', 'school_urban': 'GW', 'school_town': 'GX', 'school_rural': 'GY', 'teaching_total': 'GZ', 'teaching_urban': 'HA', 'teaching_town': 'HB', 'teaching_rural': 'HC'},
|
||||
{'year': 2021, 'school_total': 'HD', 'school_urban': 'HE', 'school_town': 'HF', 'school_rural': 'HG', 'teaching_total': 'HH', 'teaching_urban': 'HI', 'teaching_town': 'HJ', 'teaching_rural': 'HK'},
|
||||
{'year': 2022, 'school_total': 'HL', 'school_urban': 'HM', 'school_town': 'HN', 'school_rural': 'HO', 'teaching_total': 'HP', 'teaching_urban': 'HQ', 'teaching_town': 'HR', 'teaching_rural': 'HS'},
|
||||
{'year': 2023, 'school_total': 'HT', 'school_urban': 'HU', 'school_town': 'HV', 'school_rural': 'HW', 'teaching_total': 'HX', 'teaching_urban': 'HY', 'teaching_town': 'HZ', 'teaching_rural': 'IA'},
|
||||
{'year': 2024, 'school_total': 'IB', 'school_urban': 'IC', 'school_town': 'ID', 'school_rural': 'IE', 'teaching_total': 'IF', 'teaching_urban': 'IG', 'teaching_town': 'IH', 'teaching_rural': 'II'}
|
||||
]
|
||||
},
|
||||
|
||||
# 高中教育
|
||||
'senior_high_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'IJ', 'school_urban': 'IK', 'school_town': 'IL', 'school_rural': 'IM', 'teaching_total': 'IN', 'teaching_urban': 'IO', 'teaching_town': 'IP', 'teaching_rural': 'IQ'},
|
||||
{'year': 2016, 'school_total': 'IR', 'school_urban': 'IS', 'school_town': 'IT', 'school_rural': 'IU', 'teaching_total': 'IV', 'teaching_urban': 'IW', 'teaching_town': 'IX', 'teaching_rural': 'IY'},
|
||||
{'year': 2017, 'school_total': 'IZ', 'school_urban': 'JA', 'school_town': 'JB', 'school_rural': 'JC', 'teaching_total': 'JD', 'teaching_urban': 'JE', 'teaching_town': 'JF', 'teaching_rural': 'JG'},
|
||||
{'year': 2018, 'school_total': 'JH', 'school_urban': 'JI', 'school_town': 'JJ', 'school_rural': 'JK', 'teaching_total': 'JL', 'teaching_urban': 'JM', 'teaching_town': 'JN', 'teaching_rural': 'JO'},
|
||||
{'year': 2019, 'school_total': 'JP', 'school_urban': 'JQ', 'school_town': 'JR', 'school_rural': 'JS', 'teaching_total': 'JT', 'teaching_urban': 'JU', 'teaching_town': 'JV', 'teaching_rural': 'JW'},
|
||||
{'year': 2020, 'school_total': 'JX', 'school_urban': 'JY', 'school_town': 'JZ', 'school_rural': 'KA', 'teaching_total': 'KB', 'teaching_urban': 'KC', 'teaching_town': 'KD', 'teaching_rural': 'KE'},
|
||||
{'year': 2021, 'school_total': 'KF', 'school_urban': 'KG', 'school_town': 'KH', 'school_rural': 'KI', 'teaching_total': 'KJ', 'teaching_urban': 'KK', 'teaching_town': 'KL', 'teaching_rural': 'KM'},
|
||||
{'year': 2022, 'school_total': 'KN', 'school_urban': 'KO', 'school_town': 'KP', 'school_rural': 'KQ', 'teaching_total': 'KR', 'teaching_urban': 'KS', 'teaching_town': 'KT', 'teaching_rural': 'KU'},
|
||||
{'year': 2023, 'school_total': 'KV', 'school_urban': 'KW', 'school_town': 'KX', 'school_rural': 'KY', 'teaching_total': 'KZ', 'teaching_urban': 'LA', 'teaching_town': 'LB', 'teaching_rural': 'LC'},
|
||||
{'year': 2024, 'school_total': 'LD', 'school_urban': 'LE', 'school_town': 'LF', 'school_rural': 'LG', 'teaching_total': 'LH', 'teaching_urban': 'LI', 'teaching_town': 'LJ', 'teaching_rural': 'LK'}
|
||||
]
|
||||
},
|
||||
# 高中教育
|
||||
'senior_high_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'IJ', 'school_urban': 'IK', 'school_town': 'IL', 'school_rural': 'IM', 'teaching_total': 'IN', 'teaching_urban': 'IO', 'teaching_town': 'IP', 'teaching_rural': 'IQ'},
|
||||
{'year': 2016, 'school_total': 'IR', 'school_urban': 'IS', 'school_town': 'IT', 'school_rural': 'IU', 'teaching_total': 'IV', 'teaching_urban': 'IW', 'teaching_town': 'IX', 'teaching_rural': 'IY'},
|
||||
{'year': 2017, 'school_total': 'IZ', 'school_urban': 'JA', 'school_town': 'JB', 'school_rural': 'JC', 'teaching_total': 'JD', 'teaching_urban': 'JE', 'teaching_town': 'JF', 'teaching_rural': 'JG'},
|
||||
{'year': 2018, 'school_total': 'JH', 'school_urban': 'JI', 'school_town': 'JJ', 'school_rural': 'JK', 'teaching_total': 'JL', 'teaching_urban': 'JM', 'teaching_town': 'JN', 'teaching_rural': 'JO'},
|
||||
{'year': 2019, 'school_total': 'JP', 'school_urban': 'JQ', 'school_town': 'JR', 'school_rural': 'JS', 'teaching_total': 'JT', 'teaching_urban': 'JU', 'teaching_town': 'JV', 'teaching_rural': 'JW'},
|
||||
{'year': 2020, 'school_total': 'JX', 'school_urban': 'JY', 'school_town': 'JZ', 'school_rural': 'KA', 'teaching_total': 'KB', 'teaching_urban': 'KC', 'teaching_town': 'KD', 'teaching_rural': 'KE'},
|
||||
{'year': 2021, 'school_total': 'KF', 'school_urban': 'KG', 'school_town': 'KH', 'school_rural': 'KI', 'teaching_total': 'KJ', 'teaching_urban': 'KK', 'teaching_town': 'KL', 'teaching_rural': 'KM'},
|
||||
{'year': 2022, 'school_total': 'KN', 'school_urban': 'KO', 'school_town': 'KP', 'school_rural': 'KQ', 'teaching_total': 'KR', 'teaching_urban': 'KS', 'teaching_town': 'KT', 'teaching_rural': 'KU'},
|
||||
{'year': 2023, 'school_total': 'KV', 'school_urban': 'KW', 'school_town': 'KX', 'school_rural': 'KY', 'teaching_total': 'KZ', 'teaching_urban': 'LA', 'teaching_town': 'LB', 'teaching_rural': 'LC'},
|
||||
{'year': 2024, 'school_total': 'LD', 'school_urban': 'LE', 'school_town': 'LF', 'school_rural': 'LG', 'teaching_total': 'LH', 'teaching_urban': 'LI', 'teaching_town': 'LJ', 'teaching_rural': 'LK'}
|
||||
]
|
||||
},
|
||||
|
||||
# 中职教育（特殊：每年2列）
|
||||
'vocational_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'LL', 'teaching_total': 'LM'},
|
||||
{'year': 2016, 'school_total': 'LN', 'teaching_total': 'LO'},
|
||||
{'year': 2017, 'school_total': 'LP', 'teaching_total': 'LQ'},
|
||||
{'year': 2018, 'school_total': 'LR', 'teaching_total': 'LS'},
|
||||
{'year': 2019, 'school_total': 'LT', 'teaching_total': 'LU'},
|
||||
{'year': 2020, 'school_total': 'LV', 'teaching_total': 'LW'},
|
||||
{'year': 2021, 'school_total': 'LX', 'teaching_total': 'LY'},
|
||||
{'year': 2022, 'school_total': 'LZ', 'teaching_total': 'MA'},
|
||||
{'year': 2023, 'school_total': 'MB', 'teaching_total': 'MC'},
|
||||
{'year': 2024, 'school_total': 'MD', 'teaching_total': 'ME'}
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
# 遍历数据行（跳过前4行表头，从第5行开始）
|
||||
for row_num, row in enumerate(sheet.iter_rows(min_row=5, values_only=True), start=5):
|
||||
# 区域名称从B列获取（索引1）
|
||||
raw_name = row[1] if (len(row) > 1 and row[1] is not None) else '未知地区'
|
||||
if not raw_name: # 跳过空行
|
||||
continue
|
||||
|
||||
# 区域名称转换
|
||||
str_raw_name = str(raw_name).strip() if raw_name is not None else '未知地区'
|
||||
area_info = query_area_info(str_raw_name)
|
||||
if area_info and isinstance(area_info, dict) and 'full_name' in area_info and 'area_code' in area_info:
|
||||
area_name = area_info['full_name']
|
||||
area_code = area_info['area_code']
|
||||
if raw_name != area_name:
|
||||
conversion_records.append({
|
||||
'row': row_num,
|
||||
'raw_name': raw_name,
|
||||
'converted_name': area_name
|
||||
})
|
||||
else:
|
||||
area_name = raw_name
|
||||
area_code = 'unknown'
|
||||
name_conversion_errors.append(f"行 {row_num}: '{raw_name}'")
|
||||
|
||||
# 循环中创建区域数据字典（重命名变量）
|
||||
current_area_data = {
|
||||
'area_name': area_name,
|
||||
'area_code': area_code,
|
||||
'raw_name': raw_name
|
||||
# 中职教育（特殊：每年2列）
|
||||
'vocational_area': {
|
||||
'years': [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024],
|
||||
'columns': [
|
||||
{'year': 2015, 'school_total': 'LL', 'teaching_total': 'LM'},
|
||||
{'year': 2016, 'school_total': 'LN', 'teaching_total': 'LO'},
|
||||
{'year': 2017, 'school_total': 'LP', 'teaching_total': 'LQ'},
|
||||
{'year': 2018, 'school_total': 'LR', 'teaching_total': 'LS'},
|
||||
{'year': 2019, 'school_total': 'LT', 'teaching_total': 'LU'},
|
||||
{'year': 2020, 'school_total': 'LV', 'teaching_total': 'LW'},
|
||||
{'year': 2021, 'school_total': 'LX', 'teaching_total': 'LY'},
|
||||
{'year': 2022, 'school_total': 'LZ', 'teaching_total': 'MA'},
|
||||
{'year': 2023, 'school_total': 'MB', 'teaching_total': 'MC'},
|
||||
{'year': 2024, 'school_total': 'MD', 'teaching_total': 'ME'}
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
# 提取各教育阶段面积数据
|
||||
for stage, config in data_columns.items():
|
||||
stage_data = {}
|
||||
for year_config in config['columns']:
|
||||
year = year_config['year']
|
||||
year_data = {}
|
||||
# 处理学校占地面积数据
|
||||
school_cols = ['school_total', 'school_urban', 'school_town', 'school_rural']
|
||||
has_school_categories = all(col in year_config for col in school_cols)
|
||||
|
||||
if has_school_categories:
|
||||
# 处理分类学校面积数据
|
||||
for col in school_cols:
|
||||
col_name = year_config[col]
|
||||
# 遍历数据行（跳过前4行表头，从第5行开始）
|
||||
for row_num, row in enumerate(sheet.iter_rows(min_row=5, values_only=True), start=5):
|
||||
# 区域名称从B列获取（索引1）
|
||||
raw_name = row[1] if (len(row) > 1 and row[1] is not None) else '未知地区'
|
||||
if not raw_name: # 跳过空行
|
||||
continue
|
||||
|
||||
# 区域名称转换
|
||||
str_raw_name = str(raw_name).strip() if raw_name is not None else '未知地区'
|
||||
area_info = query_area_info(str_raw_name)
|
||||
if area_info and isinstance(area_info, dict) and 'full_name' in area_info and 'area_code' in area_info:
|
||||
area_name = area_info['full_name']
|
||||
area_code = area_info['area_code']
|
||||
if raw_name != area_name:
|
||||
conversion_records.append({
|
||||
'row': row_num,
|
||||
'raw_name': raw_name,
|
||||
'converted_name': area_name
|
||||
})
|
||||
else:
|
||||
area_name = raw_name
|
||||
area_code = 'unknown'
|
||||
name_conversion_errors.append(f"行 {row_num}: '{raw_name}'")
|
||||
|
||||
# 循环中创建区域数据字典（重命名变量）
|
||||
current_area_data = {
|
||||
'area_name': area_name,
|
||||
'area_code': area_code,
|
||||
'raw_name': raw_name
|
||||
}
|
||||
|
||||
# 提取各教育阶段面积数据
|
||||
for stage, config in data_columns.items():
|
||||
stage_data = {}
|
||||
for year_config in config['columns']:
|
||||
year = year_config['year']
|
||||
year_data = {}
|
||||
# 处理学校占地面积数据
|
||||
school_cols = ['school_total', 'school_urban', 'school_town', 'school_rural']
|
||||
has_school_categories = all(col in year_config for col in school_cols)
|
||||
|
||||
if has_school_categories:
|
||||
# 处理分类学校面积数据
|
||||
for col in school_cols:
|
||||
col_name = year_config[col]
|
||||
col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
|
||||
if col_idx < len(row):
|
||||
value = row[col_idx]
|
||||
# 数据清洗与转换
|
||||
if value is None:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
str_value = str(value).strip()
|
||||
if str_value in ['', '####']:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
try:
|
||||
year_data[col] = float(str_value)
|
||||
except ValueError:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
# 处理中职学校总面积
|
||||
col_name = year_config['school_total']
|
||||
col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
|
||||
if col_idx < len(row):
|
||||
value = row[col_idx]
|
||||
# 数据清洗与转换
|
||||
if value is None:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
str_value = str(value).strip()
|
||||
if str_value in ['', '####']:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
try:
|
||||
year_data[col] = float(str_value)
|
||||
except ValueError:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
# 处理中职学校总面积
|
||||
col_name = year_config['school_total']
|
||||
col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
|
||||
if col_idx < len(row):
|
||||
value = row[col_idx]
|
||||
if value is None:
|
||||
year_data['school_total'] = 0
|
||||
else:
|
||||
str_value = str(value).strip()
|
||||
if str_value in ['', '####']:
|
||||
year_data['school_total'] = 0
|
||||
else:
|
||||
try:
|
||||
year_data['school_total'] = float(str_value)
|
||||
except ValueError:
|
||||
str_value = str(value).strip()
|
||||
if str_value in ['', '####']:
|
||||
year_data['school_total'] = 0
|
||||
|
||||
# 处理教学辅助用房面积数据
|
||||
teaching_cols = ['teaching_total', 'teaching_urban', 'teaching_town', 'teaching_rural']
|
||||
has_teaching_categories = all(col in year_config for col in teaching_cols)
|
||||
|
||||
if has_teaching_categories:
|
||||
# 处理分类教学辅助用房面积数据
|
||||
for col in teaching_cols:
|
||||
col_name = year_config[col]
|
||||
else:
|
||||
try:
|
||||
year_data['school_total'] = float(str_value)
|
||||
except ValueError:
|
||||
year_data['school_total'] = 0
|
||||
|
||||
# 处理教学辅助用房面积数据
|
||||
teaching_cols = ['teaching_total', 'teaching_urban', 'teaching_town', 'teaching_rural']
|
||||
has_teaching_categories = all(col in year_config for col in teaching_cols)
|
||||
|
||||
if has_teaching_categories:
|
||||
# 处理分类教学辅助用房面积数据
|
||||
for col in teaching_cols:
|
||||
col_name = year_config[col]
|
||||
col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
|
||||
if col_idx < len(row):
|
||||
value = row[col_idx]
|
||||
# 数据清洗与转换
|
||||
if value is None:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
str_value = str(value).strip()
|
||||
if str_value in ['', '####']:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
try:
|
||||
year_data[col] = float(str_value)
|
||||
except ValueError:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
# 处理中职教学辅助用房总面积
|
||||
col_name = year_config['teaching_total']
|
||||
col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
|
||||
if col_idx < len(row):
|
||||
value = row[col_idx]
|
||||
# 数据清洗与转换
|
||||
if value is None:
|
||||
year_data[col] = 0
|
||||
year_data['teaching_total'] = 0
|
||||
else:
|
||||
str_value = str(value).strip()
|
||||
if str_value in ['', '####']:
|
||||
year_data[col] = 0
|
||||
year_data['teaching_total'] = 0
|
||||
else:
|
||||
try:
|
||||
year_data[col] = float(str_value)
|
||||
year_data['teaching_total'] = float(str_value)
|
||||
except ValueError:
|
||||
year_data[col] = 0
|
||||
else:
|
||||
# 处理中职教学辅助用房总面积
|
||||
col_name = year_config['teaching_total']
|
||||
col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
|
||||
if col_idx < len(row):
|
||||
value = row[col_idx]
|
||||
if value is None:
|
||||
year_data['teaching_total'] = 0
|
||||
else:
|
||||
str_value = str(value).strip()
|
||||
if str_value in ['', '####']:
|
||||
year_data['teaching_total'] = 0
|
||||
else:
|
||||
try:
|
||||
year_data['teaching_total'] = float(str_value)
|
||||
except ValueError:
|
||||
year_data['teaching_total'] = 0
|
||||
|
||||
stage_data[str(year)] = year_data
|
||||
# 修复：将阶段数据添加到当前区域字典，而非区域列表
|
||||
current_area_data[stage] = stage_data
|
||||
|
||||
# 将当前区域数据添加到列表
|
||||
area_data.append(current_area_data)
|
||||
year_data['teaching_total'] = 0
|
||||
|
||||
stage_data[str(year)] = year_data
|
||||
# 修复：将阶段数据添加到当前区域字典，而非区域列表
|
||||
current_area_data[stage] = stage_data
|
||||
|
||||
# 将当前区域数据添加到列表
|
||||
area_data.append(current_area_data)
|
||||
|
||||
workbook.close()
|
||||
# 保存JSON文件
|
||||
with open(JSON_PATH, 'w', encoding='utf-8') as f:
|
||||
json.dump(area_data, f, ensure_ascii=False, indent=2)
|
||||
|
||||
# 保存JSON文件
|
||||
with open(JSON_PATH, 'w', encoding='utf-8') as f:
|
||||
json.dump(area_data, f, ensure_ascii=False, indent=2)
|
||||
# 输出统计信息
|
||||
print(f"✅ 学校面积数据提取完成，已保存至：{JSON_PATH}")
|
||||
print(f"📊 共处理 {len(area_data)} 条地区数据")
|
||||
print("\n=== 名称转换记录 ===")
|
||||
if conversion_records:
|
||||
for record in conversion_records:
|
||||
print(f"🔄 行 {record['row']}: {record['raw_name']} → {record['converted_name']}")
|
||||
print(f"📊 共检测到 {len(conversion_records)} 项名称转换")
|
||||
else:
|
||||
print("📝 不存在名称转换的情况")
|
||||
if name_conversion_errors:
|
||||
print(f"⚠️ 发现 {len(name_conversion_errors)} 个区域名称转换失败：")
|
||||
for error in name_conversion_errors:
|
||||
print(f" - {error}")
|
||||
|
||||
# 输出统计信息
|
||||
print(f"✅ 学校面积数据提取完成，已保存至：{JSON_PATH}")
|
||||
print(f"📊 共处理 {len(area_data)} 条地区数据")
|
||||
print("\n=== 名称转换记录 ===")
|
||||
if conversion_records:
|
||||
for record in conversion_records:
|
||||
print(f"🔄 行 {record['row']}: {record['raw_name']} → {record['converted_name']}")
|
||||
print(f"📊 共检测到 {len(conversion_records)} 项名称转换")
|
||||
else:
|
||||
print("📝 不存在名称转换的情况")
|
||||
if name_conversion_errors:
|
||||
print(f"⚠️ 发现 {len(name_conversion_errors)} 个区域名称转换失败：")
|
||||
for error in name_conversion_errors:
|
||||
print(f" - {error}")
|
||||
except FileNotFoundError:
|
||||
print(f"🔴 错误：Excel文件 '{file_name}' 不存在")
|
||||
except Exception as e:
|
||||
print(f"🔴 处理数据时发生错误：{str(e)}{traceback.format_exc()}")
|
||||
finally:
|
||||
try:
|
||||
if workbook:
|
||||
workbook.close()
|
||||
except:
|
||||
pass
|
||||
|
||||
except FileNotFoundError:
|
||||
print(f"🔴 错误：Excel文件 '{file_name}' 不存在")
|
||||
except Exception as e:
|
||||
print(f"🔴 处理数据时发生错误：{str(e)}{traceback.format_exc()}")
|
||||
finally:
|
||||
try:
|
||||
workbook.close()
|
||||
except:
|
||||
pass
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
||||
|
||||
BIN
Tools/__pycache__/T1_RenKou.cpython-310.pyc
Normal file
BIN
Tools/__pycache__/T1_RenKou.cpython-310.pyc
Normal file
Binary file not shown.
BIN
Tools/__pycache__/T2_MaoRuXueLv.cpython-310.pyc
Normal file
BIN
Tools/__pycache__/T2_MaoRuXueLv.cpython-310.pyc
Normal file
Binary file not shown.
BIN
Tools/__pycache__/T3_SchoolCount.cpython-310.pyc
Normal file
BIN
Tools/__pycache__/T3_SchoolCount.cpython-310.pyc
Normal file
Binary file not shown.
BIN
Tools/__pycache__/T4_ClassCount.cpython-310.pyc
Normal file
BIN
Tools/__pycache__/T4_ClassCount.cpython-310.pyc
Normal file
Binary file not shown.
BIN
Tools/__pycache__/T5_ZhaoShengCount.cpython-310.pyc
Normal file
BIN
Tools/__pycache__/T5_ZhaoShengCount.cpython-310.pyc
Normal file
Binary file not shown.
BIN
Tools/__pycache__/T6_ZaiXiaoShengCount.cpython-310.pyc
Normal file
BIN
Tools/__pycache__/T6_ZaiXiaoShengCount.cpython-310.pyc
Normal file
Binary file not shown.
BIN
Tools/__pycache__/T7_TeacherCount.cpython-310.pyc
Normal file
BIN
Tools/__pycache__/T7_TeacherCount.cpython-310.pyc
Normal file
Binary file not shown.
BIN
Tools/__pycache__/T8_SchoolMianJi.cpython-310.pyc
Normal file
BIN
Tools/__pycache__/T8_SchoolMianJi.cpython-310.pyc
Normal file
Binary file not shown.
Reference in New Issue
Block a user