import openpyxl import json import os import traceback from openpyxl.utils import column_index_from_string 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, 'ZaiXiaoShengCount.json') # 在校生数JSON路径 # 教育阶段配置 - 在校生数(2015-2024年) education_stages = [ { 'name': 'preschool', 'chinese_name': '学前教育', 'columns': [ {'year': 2015, 'urban': 'D', 'town': 'E', 'rural': 'F', 'total': 'G'}, {'year': 2016, 'urban': 'H', 'town': 'I', 'rural': 'J', 'total': 'K'}, {'year': 2017, 'urban': 'L', 'town': 'M', 'rural': 'N', 'total': 'O'}, {'year': 2018, 'urban': 'P', 'town': 'Q', 'rural': 'R', 'total': 'S'}, {'year': 2019, 'urban': 'T', 'town': 'U', 'rural': 'V', 'total': 'W'}, {'year': 2020, 'urban': 'X', 'town': 'Y', 'rural': 'Z', 'total': 'AA'}, {'year': 2021, 'urban': 'AB', 'town': 'AC', 'rural': 'AD', 'total': 'AE'}, {'year': 2022, 'urban': 'AF', 'town': 'AG', 'rural': 'AH', 'total': 'AI'}, {'year': 2023, 'urban': 'AJ', 'town': 'AK', 'rural': 'AL', 'total': 'AM'}, {'year': 2024, 'urban': 'AN', 'town': 'AO', 'rural': 'AP', 'total': 'AQ'} ] }, { 'name': 'primary', 'chinese_name': '小学教育', 'columns': [ {'year': 2015, 'urban': 'AR', 'town': 'AS', 'rural': 'AT', 'total': 'AU'}, {'year': 2016, 'urban': 'AV', 'town': 'AW', 'rural': 'AX', 'total': 'AY'}, {'year': 2017, 'urban': 'AZ', 'town': 'BA', 'rural': 'BB', 'total': 'BC'}, {'year': 2018, 'urban': 'BD', 'town': 'BE', 'rural': 'BF', 'total': 'BG'}, {'year': 2019, 'urban': 'BH', 'town': 'BI', 'rural': 'BJ', 'total': 'BK'}, {'year': 2020, 'urban': 'BL', 'town': 'BM', 'rural': 'BN', 'total': 'BO'}, {'year': 2021, 'urban': 'BP', 'town': 'BQ', 'rural': 'BR', 'total': 'BS'}, {'year': 2022, 'urban': 'BT', 'town': 'BU', 'rural': 'BV', 'total': 'BW'}, {'year': 2023, 'urban': 'BX', 'town': 'BY', 'rural': 'BZ', 'total': 'CA'}, {'year': 2024, 'urban': 'CB', 'town': 'CC', 'rural': 'CD', 'total': 'CE'} ] }, { 'name': 'junior', 'chinese_name': '初中教育', 'columns': [ {'year': 2015, 'urban': 'CF', 'town': 'CG', 'rural': 'CH', 'total': 'CI'}, {'year': 2016, 'urban': 'CJ', 'town': 'CK', 'rural': 'CL', 'total': 'CM'}, {'year': 2017, 'urban': 'CN', 'town': 'CO', 'rural': 'CP', 'total': 'CQ'}, {'year': 2018, 'urban': 'CR', 'town': 'CS', 'rural': 'CT', 'total': 'CU'}, {'year': 2019, 'urban': 'CV', 'town': 'CW', 'rural': 'CX', 'total': 'CY'}, {'year': 2020, 'urban': 'CZ', 'town': 'DA', 'rural': 'DB', 'total': 'DC'}, {'year': 2021, 'urban': 'DD', 'town': 'DE', 'rural': 'DF', 'total': 'DG'}, {'year': 2022, 'urban': 'DH', 'town': 'DI', 'rural': 'DJ', 'total': 'DK'}, {'year': 2023, 'urban': 'DL', 'town': 'DM', 'rural': 'DN', 'total': 'DO'}, {'year': 2024, 'urban': 'DP', 'town': 'DQ', 'rural': 'DR', 'total': 'DS'} ] }, { 'name': 'senior', 'chinese_name': '高中教育', 'columns': [ {'year': 2015, 'urban': 'DT', 'town': 'DU', 'rural': 'DV', 'total': 'DW'}, {'year': 2016, 'urban': 'DX', 'town': 'DY', 'rural': 'DZ', 'total': 'EA'}, {'year': 2017, 'urban': 'EB', 'town': 'EC', 'rural': 'ED', 'total': 'EE'}, {'year': 2018, 'urban': 'EF', 'town': 'EG', 'rural': 'EH', 'total': 'EI'}, {'year': 2019, 'urban': 'EJ', 'town': 'EK', 'rural': 'EL', 'total': 'EM'}, {'year': 2020, 'urban': 'EN', 'town': 'EO', 'rural': 'EP', 'total': 'EQ'}, {'year': 2021, 'urban': 'ER', 'town': 'ES', 'rural': 'ET', 'total': 'EU'}, {'year': 2022, 'urban': 'EV', 'town': 'EW', 'rural': 'EX', 'total': 'EY'}, {'year': 2023, 'urban': 'EZ', 'town': 'FA', 'rural': 'FB', 'total': 'FC'}, {'year': 2024, 'urban': 'FD', 'town': 'FE', 'rural': 'FF', 'total': 'FG'} ] }, { 'name': 'vocational', 'chinese_name': '中职教育', 'columns': [ {'year': 2015, 'total': 'FH'}, {'year': 2016, 'total': 'FI'}, {'year': 2017, 'total': 'FJ'}, {'year': 2018, 'total': 'FK'}, {'year': 2019, 'total': 'FL'}, {'year': 2020, 'total': 'FM'}, {'year': 2021, 'total': 'FN'}, {'year': 2022, 'total': 'FO'}, {'year': 2023, 'total': 'FP'}, {'year': 2024, 'total': 'FQ'} ] } ] def process_value(value): """处理单元格值,转换为适当类型""" if value is None: return 0 # 转换为字符串处理 str_value = str(value).strip() # 处理空字符串 if not str_value: return 0 # 处理特殊标记 if str_value in ['####', 'NA', 'N/A', '—', ' ']: return 0 # 处理数字 try: # 移除千分位逗号 if ',' in str_value: str_value = str_value.replace(',', '') return int(float(str_value)) except ValueError: return 0 def main(): file_name = EXCEL_PATH student_data = [] name_conversion_errors = [] conversion_records = [] processed_count = 0 try: # 加载工作簿并选择在校生数Sheet workbook = openpyxl.load_workbook(file_name, data_only=True) if '在校生数' not in workbook.sheetnames: print("❌ 错误:未找到'在校生数'Sheet") return sheet = workbook['在校生数'] print(f"✅ 成功加载Excel文件:{file_name}") print(f"✅ 开始处理在校生数数据,共{sheet.max_row}行数据") # 遍历行数据 for row_idx, row in enumerate(sheet.iter_rows(values_only=True), start=1): # 跳过前4行表头 if row_idx < 5: continue # 从B列获取区域名称(索引1) try: # 检查行是否有足够的列 if len(row) < 2: print(f"⚠️ 第{row_idx}行数据不足,跳过") continue raw_name = row[1] if raw_name is None: print(f"⚠️ 第{row_idx}行B列区域名称为空,跳过该行") continue raw_name = str(raw_name).strip() if not raw_name: print(f"⚠️ 第{row_idx}行B列区域名称为空字符串,跳过该行") continue # 查询区域信息 area_info = query_area_info(raw_name) area_name = raw_name area_code = 'unknown' # 验证区域信息 if isinstance(area_info, dict): if 'full_name' in area_info and 'area_code' in area_info: area_name = area_info['full_name'] area_code = area_info['area_code'] conversion_records.append(f"✅ 第{row_idx}行: {raw_name} → {area_name}") processed_count += 1 else: name_conversion_errors.append(f"第{row_idx}行: {raw_name} (缺少必要字段)") conversion_records.append(f"❌ 第{row_idx}行: {raw_name} (格式错误)") else: name_conversion_errors.append(f"第{row_idx}行: {raw_name}") conversion_records.append(f"❌ 第{row_idx}行: {raw_name} (未找到匹配)") # 创建区域数据对象 area_data = { 'area_name': area_name, 'area_code': area_code, 'raw_name': raw_name, 'student_data': {} } # 提取各教育阶段在校生数据 for stage in education_stages: stage_name = stage['name'] stage_data = {} for year_config in stage['columns']: year = year_config['year'] year_data = {} # 处理多类别教育阶段(学前到高中) if 'urban' in year_config: # 城区 urban_col = column_index_from_string(year_config['urban']) - 1 urban_val = row[urban_col] if len(row) > urban_col else None year_data['urban'] = process_value(urban_val) # 镇区 town_col = column_index_from_string(year_config['town']) - 1 town_val = row[town_col] if len(row) > town_col else None year_data['town'] = process_value(town_val) # 乡村 rural_col = column_index_from_string(year_config['rural']) - 1 rural_val = row[rural_col] if len(row) > rural_col else None year_data['rural'] = process_value(rural_val) # 总计 total_col = column_index_from_string(year_config['total']) - 1 total_val = row[total_col] if len(row) > total_col else None year_data['total'] = process_value(total_val) # 处理中职教育(单值) else: total_col = column_index_from_string(year_config['total']) - 1 total_val = row[total_col] if len(row) > total_col else None year_data['total'] = process_value(total_val) stage_data[str(year)] = year_data area_data['student_data'][stage_name] = stage_data student_data.append(area_data) # 进度提示 if processed_count % 10 == 0 and processed_count > 0: print(f"🔄 已处理{processed_count}条数据...") except Exception as e: print(f"🔴 处理第{row_idx}行时发生错误:{str(e)}") continue # 保存数据到JSON文件 with open(JSON_PATH, 'w', encoding='utf-8') as f: json.dump(student_data, f, ensure_ascii=False, indent=2) print("\n=== 数据处理完成 ===") print(f"📊 共处理 {processed_count} 条地区数据") print(f"✅ 区域名称转换成功: {processed_count - len(name_conversion_errors)}") if name_conversion_errors: print(f"❌ 区域名称转换失败: {len(name_conversion_errors)}个") for error in name_conversion_errors[:5]: print(f" - {error}") if len(name_conversion_errors) > 5: print(f" - ... 等{len(name_conversion_errors)-5}个错误") print(f"💾 数据已保存至 {JSON_PATH}") 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: if 'workbook' in locals(): workbook.close() if __name__ == "__main__": main()