第一种：利用serializers转换
def json_test(request):
data = {}
book = Book.objects.all()
data['list'] = json.loads(serializers.serialize("json", book))
return JsonResponse(data)
得到的结果：
{
"list": [
{
"pk": 3,
"model": "myapp.book",
"fields": {
"book_name": "test",
"add_time": "2017-09-15T00:48:45.123Z"
}
},
{
"pk": 14,
"model": "myapp.book",
"fields": {
"book_name": "可以吗",
"add_time": "2017-09-16T03:47:02.662Z"
}
},
{
"pk": 18,
"model": "myapp.book",
"fields": {
"book_name": "dfs dsf ",
"add_time": "2017-09-16T06:10:53.834Z"
}
},
{
"pk": 44,
"model": "myapp.book",
"fields": {
"book_name": "122323",
"add_time": "2017-09-25T07:15:56.058Z"
}
}
]
}
支持objects.all()的所有操作，如切片查询all()[:10]、链式过滤查询objects.all().filter(book_name=’test’)等价于objects.filter(book_name=’test’)等
支持objects.fifter()的所有操作
支持objects.values()的所有操作(但如果使用values的话，可以使用第二种方法转化json)
第二种 利用values+list转换
def json_test(request):
data = {}
book = Book.objects.values()
data['list'] = list(book)
return JsonResponse(data)
得到结果
{
"list": [
{
"id": 3,
"book_name": "test",
"add_time": "2017-09-15T00:48:45.123Z"
},
{
"id": 14,
"book_name": "可以吗",
"add_time": "2017-09-16T03:47:02.662Z"
},
{
"id": 18,
"book_name": "dfs dsf ",
"add_time": "2017-09-16T06:10:53.834Z"
},
{
"id": 44,
"book_name": "122323",
"add_time": "2017-09-25T07:15:56.058Z"
}
]
}
这样的结果更简洁，也更适合使用。
同样支持链式条件过滤查询，如objects.values().filter(book_name=’test’)
支持切片查询，如objects.values()[:10]
支持字段过滤查询，如我只想查询id和book_name 这两个字段，只需这样写
book = Book.objects.values('id','book_name')
第三种 转换objects.get()获取的对象
利用一下方法：
dict([(kk,stu.__dict__[kk]) for kk in stu.__dict__.keys() if kk != "_state"])
例子
base_config = BaseConfig.objects.get(config_name=config_name)
response['data'] = object_to_json(base_config)
# objects.get()结果转换
def object_to_json(obj):
return dict([(kk, obj.__dict__[kk]) for kk in obj.__dict__.keys() if kk != "_state"])
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