244 lines
8.3 KiB
Python
244 lines
8.3 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.AreaUtil import query_area_info
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# ======================= 配置常量 =======================
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"""数据提取配置"""
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# 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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# JSON输出路径
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JSON_PATH = os.path.join(DATA_DIR, 'MaoRuXueLv.json')
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# 工作表名称
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SHEET_NAME = '毛入学率'
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# 数据起始行
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START_ROW = 5
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# 区域名称所在列
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REGION_NAME_COLUMN = 'B'
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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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# 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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# ======================= 工具函数 =======================
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def init_directories() -> None:
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"""初始化数据目录
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创建数据保存目录，如果目录已存在则不执行操作
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"""
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os.makedirs(DATA_DIR, exist_ok=True)
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def process_value(value: Any) -> int | float | int:
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"""处理单元格值，转换为合适的数值类型
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Args:
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value: 原始单元格值
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Returns:
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int | float | int: 转换后的数值，无法转换时返回0
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"""
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if value is None:
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return 0
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# 统一转换为字符串处理
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str_value = str(value).strip()
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if str_value == '' or str_value == '####':
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return 0
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try:
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if '%' in str_value:
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# 移除百分号并转换为小数
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return float(str_value.replace('%', ''))
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elif '.' in str_value:
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return float(str_value)
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else:
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return int(str_value)
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except (ValueError, TypeError):
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return 0
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def print_conversion_stats(conversion_records: List[Dict[str, str]], errors: List[str]) -> None:
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"""打印名称转换统计信息
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Args:
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conversion_records: 转换记录列表
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errors: 错误信息列表
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"""
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print("\n=== 名称转换记录 ===")
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if conversion_records:
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for record in conversion_records:
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print(f"🔄 行 {record['row']}: {record['raw_name']} → {record['converted_name']}")
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print(f"📊 共检测到 {len(conversion_records)} 项名称转换")
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else:
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print("📝 不存在名称转换的情况")
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if errors:
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print(f"⚠️ 发现 {len(errors)} 个区域名称转换失败：")
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for error in errors:
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print(f" - {error}")
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else:
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print("✅ 所有区域名称均成功转换为全称")
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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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Args:
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sheet: 毛入学率工作表对象
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Returns:
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Tuple包含:
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- enrollment_data: 提取的毛入学率数据列表
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- conversion_records: 名称转换记录
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- name_conversion_errors: 名称转换错误列表
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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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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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if not raw_name:
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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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# 记录名称转换
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if str_raw_name != area_name:
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conversion_records.append({
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'row': row_num,
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'raw_name': str_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 = str_raw_name
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area_code = 'unknown'
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name_conversion_errors.append(f"行 {row_num}: '{str_raw_name}'")
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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 # 保留原始名称用于调试
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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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try:
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# 初始化目录
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init_directories()
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# 加载工作簿并选择工作表
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workbook = openpyxl.load_workbook(EXCEL_PATH, read_only=True)
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if SHEET_NAME not in workbook.sheetnames:
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print(f"❌ 错误：未找到'{SHEET_NAME}'Sheet")
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return
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sheet = workbook[SHEET_NAME]
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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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# 关闭工作簿释放资源
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workbook.close()
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# 保存为JSON文件
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with open(JSON_PATH, 'w', encoding='utf-8') as f:
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json.dump(enrollment_data, f, ensure_ascii=False, indent=2)
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# 输出结果统计
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print(f"✅ 毛入学率数据提取完成，已保存至：{JSON_PATH}")
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print(f"📊 共处理 {len(enrollment_data)} 条地区数据")
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print_conversion_stats(conversion_records, name_conversion_errors)
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except FileNotFoundError:
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print(f"🔴 错误：Excel文件 '{EXCEL_PATH}' 不存在")
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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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if __name__ == '__main__':
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main()
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