'commit'

Tools/T4_5_ZhaoShengCount.py

@@ -1,6 +1,8 @@
-import openpyxl  # 添加缺少的导入
+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
@@ -8,17 +10,261 @@ 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, 'MaoRuXueLv.json')  # 修改为毛入学率的JSON路径
+JSON_PATH = os.path.join(DATA_DIR, 'ZhaoShengCount.json')
 
-file_name = EXCEL_PATH
+# 教育阶段配置 - 招生数(2015-2024年)
-enrollment_data = []
+education_stages = [
-name_conversion_errors = []  # 记录转换失败的名称
+    {
-conversion_records = []  # 定义转换记录变量
+        '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'}
+        ]
+    }
+]
 
-# 加载工作簿并选择招生数Sheet
+
-workbook = openpyxl.load_workbook(file_name, read_only=True)
+def process_value(value):
-if '招生数' not in workbook.sheetnames:
+    """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
+    enrollment_data = []
+    name_conversion_errors = []
+    conversion_records = []
+    processed_count = 0
+
+    try:
+        # 加载工作簿并选择招生数Sheet
+        workbook = openpyxl.load_workbook(file_name, data_only=True)
+        if '招生数' not in workbook.sheetnames:
             print("❌ 错误：未找到'招生数'Sheet")
-    exit(1)
+            return
-sheet = workbook['招生数']
+        sheet = workbook['招生数']
 
+        print(f"✅ 成功加载Excel文件：{file_name}")
+        print(f"✅ 开始处理招生数数据，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")
+                    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")
+                    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,
+                    'education_data': {}
+                }
+
+                # 处理各教育阶段数据
+                for stage in education_stages:
+                    stage_name = stage['name']
+                    stage_data = {}
+
+                    for year_config in stage['columns']:
+                        year = year_config['year']
+                        year_data = {}
+
+                        # 处理学前、小学、初中、高中（有城区/镇区/乡村分类）
+                        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（单列）
+                        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['education_data'][stage_name] = stage_data
+
+                enrollment_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(enrollment_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()