53 lines
1.9 KiB
Python
53 lines
1.9 KiB
Python
import os
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import json
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import openpyxl
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current_dir = os.getcwd()
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# 读取配置文件
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with open(os.path.join(current_dir, 'tool/cfg/cfg_xlsx.json'), 'r', encoding='utf-8') as f:
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cfg = json.load(f)
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file_list = cfg['file_list']
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target_dir = cfg['target_dir']
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source_dir = cfg['source_dir']
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fields_to_remove = cfg.get('fields_to_remove', [])
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# 确保目标目录存在
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os.makedirs(target_dir, exist_ok=True)
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# 遍历文件列表并转换文件
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for file_cfg in file_list:
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source_file_path = os.path.join(current_dir, source_dir, file_cfg["in_file"])
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target_file_path = os.path.join(current_dir, target_dir, file_cfg["out_file"])
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sheet_name = file_cfg["sheet_name"]
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# 读取XLSX文件
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workbook = openpyxl.load_workbook(source_file_path)
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sheet = workbook[sheet_name] if sheet_name else workbook.active
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# 获取字段名
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fieldnames = [cell.value for cell in sheet[1]]
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# 读取数据并去掉第一行
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rows = list(sheet.iter_rows(values_only=True))[2:]
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# 以第一列的值作为索引，并移除第一列
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indexed_data = {}
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for row in rows:
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row_dict = {fieldnames[i]: row[i] for i in range(len(fieldnames))}
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index = row_dict.pop(fieldnames[0]) # 获取第一列的值作为索引并移除第一列
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# 仅保留需要的字段
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row_dict = {field: row_dict[field] for field in file_cfg['fields'] if field in row_dict}
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for key, value in row_dict.items():
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try:
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row_dict[key] = json.loads(value)
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except (json.JSONDecodeError, TypeError):
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pass # 如果解析失败，则保持原值
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indexed_data[index] = row_dict
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# 将JSON写入目标文件
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with open(target_file_path, 'w', encoding='utf-8') as json_file:
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json.dump(indexed_data, json_file, ensure_ascii=False, indent=4)
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print(f"Converted: {source_file_path} to {target_file_path}") |