import openpyxl # 添加缺少的导入 import json import os import traceback from Config.Config import EXCEL_PATH from Util.AreaUtil import query_area_info 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 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") 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'} ] }, # 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'} ] }, # 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 } # 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] 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: 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] 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) # 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}") 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 if __name__ == "__main__": main()