# -*- coding: utf-8 -*- import os import re from datetime import datetime import openpyxl from django.conf import settings from dvadmin.utils.validator import CustomValidationError def import_to_data(file_url, field_data, m2m_fields=None): """ 读取导入的excel文件 :param file_url: :param field_data: 首行数据源 :param m2m_fields: 多对多字段 :return: """ # 读取excel 文件 file_path_dir = os.path.join(settings.BASE_DIR, file_url) workbook = openpyxl.load_workbook(file_path_dir) table = workbook[workbook.sheetnames[0]] theader = tuple(table.values)[0] #Excel的表头 is_update = '更新主键(勿改)' in theader #是否导入更新 if is_update is False: #不是更新时,删除id列 field_data.pop('id') # 获取参数映射 validation_data_dict = {} for key, value in field_data.items(): if isinstance(value, dict): choices = value.get("choices", {}) data_dict = {} if choices.get("data"): for k, v in choices.get("data").items(): data_dict[k] = v elif choices.get("queryset") and choices.get("values_name"): data_list = choices.get("queryset").values(choices.get("values_name"), "id") for ele in data_list: data_dict[ele.get(choices.get("values_name"))] = ele.get("id") else: continue validation_data_dict[key] = data_dict # 创建一个空列表,存储Excel的数据 tables = [] for i, row in enumerate(range(table.max_row)): if i == 0: continue array = {} for index, item in enumerate(field_data.items()): items = list(item) key = items[0] values = items[1] value_type = 'str' if isinstance(values, dict): value_type = values.get('type','str') cell_value = table.cell(row=row + 1, column=index + 2).value if cell_value is None or cell_value=='': continue elif value_type == 'date': print(61, datetime.strptime(str(cell_value), '%Y-%m-%d %H:%M:%S').date()) try: cell_value = datetime.strptime(str(cell_value), '%Y-%m-%d %H:%M:%S').date() except: raise CustomValidationError('日期格式不正确') elif value_type == 'datetime': cell_value = datetime.strptime(str(cell_value), '%Y-%m-%d %H:%M:%S') else: # 由于excel导入数字类型后,会出现数字加 .0 的,进行处理 if type(cell_value) is float and str(cell_value).split(".")[1] == "0": cell_value = int(str(cell_value).split(".")[0]) elif type(cell_value) is str: cell_value = cell_value.strip(" \t\n\r") if key in validation_data_dict: array[key] = validation_data_dict.get(key, {}).get(cell_value, None) if key in m2m_fields: array[key] = list( filter( lambda x: x, [ validation_data_dict.get(key, {}).get(value, None) for value in re.split(r"[,;:|.,;:\s]\s*", cell_value) ], ) ) else: array[key] = cell_value tables.append(array) return tables