如何将CSV数据导入Django模型

Question

我有一些CSV数据，我想使用示例CSV数据导入django模型：

1;"02-01-101101";"Worm Gear HRF 50";"Ratio 1 : 10";"input shaft, output shaft, direction A, color dark green";
2;"02-01-101102";"Worm Gear HRF 50";"Ratio 1 : 20";"input shaft, output shaft, direction A, color dark green";
3;"02-01-101103";"Worm Gear HRF 50";"Ratio 1 : 30";"input shaft, output shaft, direction A, color dark green";
4;"02-01-101104";"Worm Gear HRF 50";"Ratio 1 : 40";"input shaft, output shaft, direction A, color dark green";
5;"02-01-101105";"Worm Gear HRF 50";"Ratio 1 : 50";"input shaft, output shaft, direction A, color dark green";

我有一些名为Product的django模型。在产品还有像一些领域name，description和price。我想要这样的东西：

product=Product()
product.name = "Worm Gear HRF 70(02-01-101116)"
product.description = "input shaft, output shaft, direction A, color dark green"
product.price = 100

Answer 1

你想使用python语言中的csv模块，并且应该使用Django的get_or_create方法

 with open(path) as f:
        reader = csv.reader(f)
        for row in reader:
            _, created = Teacher.objects.get_or_create(
                first_name=row[0],
                last_name=row[1],
                middle_name=row[2],
                )
            # creates a tuple of the new object or
            # current object and a boolean of if it was created

在我的示例中，模型老师具有三个属性first_name，last_name和middle_name。