238 lines
9.3 KiB
Python
238 lines
9.3 KiB
Python
import os
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import traceback
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from typing import List, Dict, Any, Tuple
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import openpyxl
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from Config.Config import EXCEL_PATH
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from Util.DataUtil import (
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init_directories, process_value, print_conversion_stats,
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convert_area_name, save_to_json, load_workbook_sheet
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)
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# ======================== 配置常量 ========================
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# 数据目录和JSON路径
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DATA_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'Data')
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JSON_PATH = os.path.join(DATA_DIR, 'ZhaoShengCount.json')
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# 工作表名称
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SHEET_NAME = '招生数'
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# 起始行（跳过前3行表头）
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START_ROW = 4
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# 年份范围
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YEAR_RANGE = [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
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# 教育阶段配置
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EDUCATION_STAGES = [
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{
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'name': 'preschool',
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'chinese_name': '学前教育',
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'categories': ['urban', 'town', 'rural', 'total'],
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'columns': [
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{'year': 2015, 'urban': 'D', 'town': 'E', 'rural': 'F', 'total': 'G'},
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{'year': 2016, 'urban': 'H', 'town': 'I', 'rural': 'J', 'total': 'K'},
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{'year': 2017, 'urban': 'L', 'town': 'M', 'rural': 'N', 'total': 'O'},
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{'year': 2018, 'urban': 'P', 'town': 'Q', 'rural': 'R', 'total': 'S'},
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{'year': 2019, 'urban': 'T', 'town': 'U', 'rural': 'V', 'total': 'W'},
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{'year': 2020, 'urban': 'X', 'town': 'Y', 'rural': 'Z', 'total': 'AA'},
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{'year': 2021, 'urban': 'AB', 'town': 'AC', 'rural': 'AD', 'total': 'AE'},
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{'year': 2022, 'urban': 'AF', 'town': 'AG', 'rural': 'AH', 'total': 'AI'},
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{'year': 2023, 'urban': 'AJ', 'town': 'AK', 'rural': 'AL', 'total': 'AM'},
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{'year': 2024, 'urban': 'AN', 'town': 'AO', 'rural': 'AP', 'total': 'AQ'}
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]
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},
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{
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'name': 'primary',
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'chinese_name': '小学教育',
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'categories': ['urban', 'town', 'rural', 'total'],
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'columns': [
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{'year': 2015, 'urban': 'AR', 'town': 'AS', 'rural': 'AT', 'total': 'AU'},
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{'year': 2016, 'urban': 'AV', 'town': 'AW', 'rural': 'AX', 'total': 'AY'},
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{'year': 2017, 'urban': 'AZ', 'town': 'BA', 'rural': 'BB', 'total': 'BC'},
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{'year': 2018, 'urban': 'BD', 'town': 'BE', 'rural': 'BF', 'total': 'BG'},
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{'year': 2019, 'urban': 'BH', 'town': 'BI', 'rural': 'BJ', 'total': 'BK'},
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{'year': 2020, 'urban': 'BL', 'town': 'BM', 'rural': 'BN', 'total': 'BO'},
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{'year': 2021, 'urban': 'BP', 'town': 'BQ', 'rural': 'BR', 'total': 'BS'},
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{'year': 2022, 'urban': 'BT', 'town': 'BU', 'rural': 'BV', 'total': 'BW'},
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{'year': 2023, 'urban': 'BX', 'town': 'BY', 'rural': 'BZ', 'total': 'CA'},
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{'year': 2024, 'urban': 'CB', 'town': 'CC', 'rural': 'CD', 'total': 'CE'}
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]
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},
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{
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'name': 'junior',
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'chinese_name': '初中教育',
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'categories': ['urban', 'town', 'rural', 'total'],
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'columns': [
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{'year': 2015, 'urban': 'CF', 'town': 'CG', 'rural': 'CH', 'total': 'CI'},
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{'year': 2016, 'urban': 'CJ', 'town': 'CK', 'rural': 'CL', 'total': 'CM'},
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{'year': 2017, 'urban': 'CN', 'town': 'CO', 'rural': 'CP', 'total': 'CQ'},
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{'year': 2018, 'urban': 'CR', 'town': 'CS', 'rural': 'CT', 'total': 'CU'},
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{'year': 2019, 'urban': 'CV', 'town': 'CW', 'rural': 'CX', 'total': 'CY'},
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{'year': 2020, 'urban': 'CZ', 'town': 'DA', 'rural': 'DB', 'total': 'DC'},
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{'year': 2021, 'urban': 'DD', 'town': 'DE', 'rural': 'DF', 'total': 'DG'},
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{'year': 2022, 'urban': 'DH', 'town': 'DI', 'rural': 'DJ', 'total': 'DK'},
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{'year': 2023, 'urban': 'DL', 'town': 'DM', 'rural': 'DN', 'total': 'DO'},
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{'year': 2024, 'urban': 'DP', 'town': 'DQ', 'rural': 'DR', 'total': 'DS'}
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]
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},
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{
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'name': 'senior',
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'chinese_name': '高中教育',
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'categories': ['urban', 'town', 'rural', 'total'],
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'columns': [
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{'year': 2015, 'urban': 'DT', 'town': 'DU', 'rural': 'DV', 'total': 'DW'},
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{'year': 2016, 'urban': 'DX', 'town': 'DY', 'rural': 'DZ', 'total': 'EA'},
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{'year': 2017, 'urban': 'EB', 'town': 'EC', 'rural': 'ED', 'total': 'EE'},
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{'year': 2018, 'urban': 'EF', 'town': 'EG', 'rural': 'EH', 'total': 'EI'},
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{'year': 2019, 'urban': 'EJ', 'town': 'EK', 'rural': 'EL', 'total': 'EM'},
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{'year': 2020, 'urban': 'EN', 'town': 'EO', 'rural': 'EP', 'total': 'EQ'},
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{'year': 2021, 'urban': 'ER', 'town': 'ES', 'rural': 'ET', 'total': 'EU'},
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{'year': 2022, 'urban': 'EV', 'town': 'EW', 'rural': 'EX', 'total': 'EY'},
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{'year': 2023, 'urban': 'EZ', 'town': 'FA', 'rural': 'FB', 'total': 'FC'},
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{'year': 2024, 'urban': 'FD', 'town': 'FE', 'rural': 'FF', 'total': 'FG'}
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]
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},
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{
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'name': 'vocational',
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'chinese_name': '中职教育',
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'categories': ['total'],
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'columns': [
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{'year': 2015, 'total': 'FH'},
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{'year': 2016, 'total': 'FI'},
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{'year': 2017, 'total': 'FJ'},
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{'year': 2018, 'total': 'FK'},
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{'year': 2019, 'total': 'FL'},
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{'year': 2020, 'total': 'FM'},
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{'year': 2021, 'total': 'FN'},
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{'year': 2022, 'total': 'FO'},
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{'year': 2023, 'total': 'FP'},
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{'year': 2024, 'total': 'FQ'}
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]
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}
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]
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def process_value(value):
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"""处理单元格值，转换为适当类型"""
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if value is None:
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return 0
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# 转换为字符串处理
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str_value = str(value).strip()
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# 处理空字符串
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if not str_value:
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return 0
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# 处理特殊标记
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if str_value in ['####', 'NA', 'N/A', '—', ' ']:
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return 0
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# 处理数字
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try:
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# 移除千分位逗号
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if ',' in str_value:
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str_value = str_value.replace(',', '')
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return int(float(str_value))
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except ValueError:
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return 0
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def extract_enrollment_data(sheet: openpyxl.worksheet.worksheet.Worksheet) -> Tuple[List[Dict[str, Any]], List[Dict[str, str]], List[str]]:
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"""提取招生数据并处理区域名称转换
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Args:
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sheet: 工作表对象
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Returns:
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Tuple包含:
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- enrollment_data: 提取的招生数据列表
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- conversion_records: 区域名称转换记录
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- errors: 错误信息列表
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"""
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enrollment_data: List[Dict[str, Any]] = []
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conversion_records: List[Dict[str, str]] = []
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errors: List[str] = []
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processed_count = 0
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for row_num, row in enumerate(sheet.iter_rows(min_row=START_ROW, values_only=True), start=START_ROW):
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# 获取区域名称（B列，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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# 转换区域名称
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area_name, area_code, row_conversions, row_errors = convert_area_name(raw_name, row_num)
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conversion_records.extend(row_conversions)
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errors.extend(row_errors)
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# 创建区域数据对象
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area_info = {
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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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'education_data': {}
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}
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# 提取各教育阶段招生数据
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for stage in EDUCATION_STAGES:
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stage_name = stage['name']
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stage_data = {}
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categories = stage['categories']
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for year_config in stage['columns']:
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year = year_config['year']
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year_data = {}
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for category in categories:
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col_name = year_config[category]
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col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
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value = row[col_idx] if col_idx < len(row) else None
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year_data[category] = process_value(value)
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stage_data[str(year)] = year_data
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area_info['education_data'][stage_name] = stage_data
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enrollment_data.append(area_info)
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processed_count += 1
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# 进度提示（每10行）
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if processed_count % 10 == 0:
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print(f"🔄 已处理 {processed_count} 条数据...")
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return enrollment_data, conversion_records, errors
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# ======================== 主函数 ========================
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def main() -> None:
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"""主函数：加载数据并执行提取流程"""
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try:
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# 初始化目录
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init_directories(DATA_DIR)
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# 加载工作表
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sheet = load_workbook_sheet(EXCEL_PATH, SHEET_NAME)
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if not sheet:
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return
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print(f"✅ 成功加载Excel文件：{EXCEL_PATH}")
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print(f"✅ 开始处理招生数数据，共{sheet.max_row}行数据")
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# 提取招生数据
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enrollment_data, conversion_records, errors = extract_enrollment_data(sheet)
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# 打印转换统计
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print_conversion_stats(conversion_records, errors)
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# 保存数据到JSON
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save_to_json(enrollment_data, JSON_PATH)
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except Exception as e:
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print(f"🔴 处理数据时发生错误：{str(e)}")
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print(traceback.format_exc())
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if __name__ == '__main__':
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main()
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