如何将列表转换为REST的分页JSON响应? [英] How to turn a list into a paginated JSON response for REST?
问题描述
我是Django REST Framework的新手,我遇到了一个问题.
I'm new to Django REST Framework and I faced a problem.
我正在为社交应用构建后端.该任务是将分页的JSON响应返回给客户端.在文档中,我只找到了如何对模型实例执行此操作,但是我只有一个列表:
I'm building a backend for a social app. The task is to return a paginated JSON response to client. In the docs I only found how to do that for model instances, but what I have is a list:
[368625, 507694, 687854, 765213, 778491, 1004752, 1024781, 1303354, 1311339, 1407238, 1506842, 1530012, 1797981, 2113318, 2179297, 2312363, 2361973, 2610241, 3005224, 3252169, 3291575, 3333882, 3486264, 3860625, 3964299, 3968863, 4299124, 4907284, 4941503, 5120504, 5210060, 5292840, 5460981, 5622576, 5746708, 5757967, 5968243, 6025451, 6040799, 6267952, 6282564, 6603517, 7271663, 7288106, 7486229, 7600623, 7981711, 8106982, 8460028, 10471602]
有一些不错的方法吗?我必须以某种特殊方式对其进行序列化吗?
Is there some nice way to do it? Do I have to serialize it in some special way?
客户端正在等待的是:
{"users": [{"id": "368625"}, {"id": "507694"}, ...]}
问题是:如何对这种回应进行分页?
The question is: How to paginate such response?
任何输入都将受到高度赞赏!
Any input is highly appreciated!
最诚挚的问候,阿列克谢.
Best regards, Alexey.
推荐答案
TLDR:
import json
data=[368625, 507694, 687854, 765213, 778491, 1004752, 1024781, 1303354, 1311339, 1407238, 1506842, 1530012, 1797981, 2113318, 2179297, 2312363, 2361973, 2610241, 3005224, 3252169, 3291575, 3333882, 3486264, 3860625, 3964299, 3968863, 4299124, 4907284, 4941503, 5120504, 5210060, 5292840, 5460981, 5622576, 5746708, 5757967, 5968243, 6025451, 6040799, 6267952, 6282564, 6603517, 7271663, 7288106, 7486229, 7600623, 7981711, 8106982, 8460028, 10471602]
print(json.dumps({"users":[{"id":value} for value in data]}))
import json
导入json包,这是一个JSON序列化/反序列化库
import json
imports the json package, which is a JSON serialization/deserialization library
json.dumps(obj)
使用python对象 obj
并将其序列化为JSON字符串
json.dumps(obj)
takes obj
, a python object, and serializes it to a JSON string
[[{"id":value}表示数据中的值]
只是一个列表推导,它创建一个Python字典列表,其中"id"
映射到每个值在 data
数组
[{"id":value} for value in data]
is just a list comprehension which creates a list of python dictionaries with "id"
mapped to each value in the data
array
分页我不确定分页是否有一些标准,但是一个简单的模型将是:
Pagination I'm not sure if there's some standard on pagination, but a simple model would be:
"data": {
"prevPage": "id",
"nextPage": "id",
"data": [
...
]
}
老实说,在python中实现它并不难:
Honestly, implementing that in python wouldn't be that hard:
data=[ ... ]
currentPage={"pageID":0,"data":[]}
prevPage={"pageID":-1}
pageSize=5
for value in data:
currentPage["data"].append({"id":value})
if len(currentPage)==pageSize:
currentPage["prevPage"]=prevPage["pageID"]
prevPage["nextPage"]=currentPage["pageID"]
# add currentPage to some database of pages
prevPage=currentPage
currentPage={"pageID":"generate new page id","data":[]}
显然,这不是很好,但是显示了基本概念.
Obviously, this isn't very polished, but shows the basic concept.
分页而不存储页面
您当然可以在每次请求时重新创建页面:
You could of course recreate the page every time it is requested:
def getPage(pageNum)
#calculate pageStart and pageEnd based on your own requiremnets
pageStart = (pageNum // 5) * 5
pageEnd = (pageNum // 5)*5+5
return [{"id":data[idx] for idx in range(pageStart, pageEnd)}]
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