140 lines
4.9 KiB
Python
140 lines
4.9 KiB
Python
import openpyxl
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import json
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import os
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from typing import List, Dict, Any, Tuple
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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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DATA_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'Data')
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JSON_PATH = os.path.join(DATA_DIR, 'MaoRuXueLv.json')
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SHEET_NAME = '毛入学率'
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START_ROW = 5
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REGION_NAME_COLUMN = 'B'
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YEAR_RANGE = [2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
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# 数据列映射配置
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DATA_COLUMNS = {
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# 学前教育 - 交替列映射
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'preschool_enrollment': {
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'columns': ['D', 'F', 'H', 'J', 'L', 'N', 'P', 'R', 'T', 'V'],
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'years': YEAR_RANGE
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},
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'preschool_enrollment_rate': {
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'columns': ['E', 'G', 'I', 'K', 'M', 'O', 'Q', 'S', 'U', 'W'],
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'years': YEAR_RANGE
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},
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# 小学教育
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'primary_enrollment': {
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'columns': ['X', 'Z', 'AB', 'AD', 'AF', 'AH', 'AJ', 'AL', 'AN', 'AP'],
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'years': YEAR_RANGE
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},
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'primary_enrollment_rate': {
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'columns': ['Y', 'AA', 'AC', 'AE', 'AG', 'AI', 'AK', 'AM', 'AO', 'AQ'],
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'years': YEAR_RANGE
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},
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# 初中教育
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'junior_high_enrollment': {
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'columns': ['AR', 'AT', 'AV', 'AX', 'AZ', 'BB', 'BD', 'BF', 'BH', 'BJ'],
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'years': YEAR_RANGE
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},
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'junior_high_enrollment_rate': {
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'columns': ['AS', 'AU', 'AW', 'AY', 'BA', 'BC', 'BE', 'BG', 'BI', 'BK'],
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'years': YEAR_RANGE
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},
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# 普通高中教育
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'senior_high_enrollment': {
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'columns': ['BL', 'BN', 'BP', 'BR', 'BT', 'BV', 'BX', 'BZ', 'CB', 'CD'],
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'years': YEAR_RANGE
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},
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'senior_high_enrollment_rate': {
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'columns': ['BM', 'BO', 'BQ', 'BS', 'BU', 'BW', 'BY', 'CA', 'CC', 'CE'],
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'years': YEAR_RANGE
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},
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# 中职教育
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'vocational_enrollment': {
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'columns': ['CF', 'CH', 'CJ', 'CL', 'CN', 'CP', 'CR', 'CT', 'CV', 'CX'],
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'years': YEAR_RANGE
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},
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'vocational_enrollment_rate': {
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'columns': ['CG', 'CI', 'CK', 'CM', 'CO', 'CQ', 'CS', 'CU', 'CW', 'CY'],
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'years': YEAR_RANGE
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}
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}
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# ======================= 核心逻辑 =======================
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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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"""从工作表提取毛入学率数据"""
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enrollment_data: List[Dict[str, Any]] = []
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conversion_records: List[Dict[str, str]] = []
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name_conversion_errors: List[str] = []
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# 计算区域名称列索引
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region_col_idx = openpyxl.utils.column_index_from_string(REGION_NAME_COLUMN) - 1
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# 遍历数据行
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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
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raw_name = row[region_col_idx] if (len(row) > region_col_idx and row[region_col_idx] is not None) else '未知地区'
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# 转换区域名称
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area_name, area_code, conv_records, errors = convert_area_name(raw_name, row_num)
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conversion_records.extend(conv_records)
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name_conversion_errors.extend(errors)
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if not area_name:
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continue
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# 创建区域数据对象
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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': str(raw_name).strip() if raw_name else '未知地区'
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}
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# 提取各指标年度数据
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for metric, config in DATA_COLUMNS.items():
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year_data = {}
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if 'columns' in config and 'years' in config:
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for col_name, year in zip(config['columns'], config['years']):
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col_idx = openpyxl.utils.column_index_from_string(col_name) - 1
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if col_idx < len(row):
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value = row[col_idx]
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year_data[str(year)] = process_value(value)
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area_data[metric] = year_data
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enrollment_data.append(area_data)
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return enrollment_data, conversion_records, name_conversion_errors
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# ======================= 主函数 =======================
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def main() -> None:
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"""主函数：执行毛入学率数据提取流程"""
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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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# 提取数据
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enrollment_data, conversion_records, name_conversion_errors = extract_enrollment_data(sheet)
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# 保存结果
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save_to_json(enrollment_data, JSON_PATH)
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# 输出转换统计
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print_conversion_stats(conversion_records, name_conversion_errors)
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if __name__ == '__main__':
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main()
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