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【Azure Developer】使用.Net Core解析JSON的笔记

科牛 2022-09-02 阅读 181

在C#中解析JSON的一些历史代码记录,分别记录针对各种情况的解析方式。

DLL的引用

using Newtonsoft.Json;
using

需要使用的类型

JArray:对应JSON字符串中的[]数组表示

JArray x = JArray.Parse(jsonresult);

x[0].ToString()

//或在知晓JSON格式的对象时,可直接反序列化。
JsonConvert.DeserializeObject<List<T>>(jsonresult);

JObject:对应JSON字符串中的{"key":"value"}对象键值对

JObject obj = JObject.Parse(jsoncontent);

obj ["Key Name"].ToString()

//或在知晓JSON格式的对象时,可直接反序列化。
JsonConvert.DeserializeObject<T>(jsoncontent);

JToken:针对JSON中的值为["value1","value2","value3"]的情况使用JToekn解析后,可以直接使用jtoken[i]依次获取value

JToken jtvalue= JToken.Parse(jsonstring);

jtvalue[0].ToString()

 

JSON字符串格式一:

[
{
"tree": [
{
"id": "b661f9c2-28ee-800a-b621-118a6787a8e6",
"name": "Automanage Preview",
"type": "productname",
"tree": [
{
"id": "d2067d69-7bb0-9ee4-cdf8-097211d4229a",
"tree": [
{
"id": "647d2678-3991-b6f2-595c-5215afaaa61a",
"type": "category",
"typeid": "bcc1837c-6364-a038-6359-afaa3b5144b5",
"tags": []
},
{
"id": "cf520d66-1d51-3644-2d60-f26a2ce384c3",
"name": "Can't create",
"type": "category",
"typeid": "5414a0bd-ea3d-77f1-2bed-07800e2c7e32",
"state": "public",
"tags": []
},
{
"id": "8279780f-d659-5819-0598-f9cca054d8df",
"name": "Error when ",
"type": "category",
"typeid": "6c35e082-3d87-83d4-9fa7-d213a2e998b3",
"state": "public",
"tags": []
},

使用JArray来解析JSON字符串到由JSON Object组成的数组,也可以通过Linq语句来过滤。

JArray x = JArray.Parse(result);
var mc21v = x.Children<JObject>().FirstOrDefault(o => o["tree"][0]["name"] != null && o["tree"][0]["name"].ToString() == "filter value");

通过对象中的tree ->name查找JSON字符串中高亮部分,也是第一级Tree节点下子节点的name来过滤。当获取到mc21v 节点对象后,继续根据是否由数组,是否是对象(由key存在)依次递归来获取JSON中所携带的值。

//mc21v
if (mc21v != null && mc21v["tree"] != null && mc21v["tree"][0]["tree"] != null && mc21v["tree"][0]["tree"].Count() > 0)
{
var name = mc21v["tree"][0]["name"].ToString();
var submc21v = mc21v["tree"][0]["tree"];

foreach (var s in submc21v)
{
log.LogInformation(name + " / " + s["name"].ToString());
}
}

 

JSON字符串格式二:

{
"table_parameters": [
{
"header_names": [
"ID",
"Name",
"Time",
...
],
"table_parameter_result": [
[
"3125649",
"test",
"2020-10-23T18:35:52.4121265",
.....
],
[
"123123545",
"test again",
"2020-10-23T20:27:27.3168876",
...
],
[
"120100503",

 

以上格式为自定义的JSON表格格式,table_parameters节点中包含表头(header_names)和表内容(table_parameter_result),所以在获取值时候,就需要使用到JArrayJToken。

JObject.Parse(sdresult);

JToken resultTableObj = details["table_parameters"][0];

resultTableObj[i].ToString()

附加一:使用Python读取JSON格式得文件内容并输出

import os, uuid
import json

try:
local_path = "."
local_file_name = "All My Case.json"
upload_file_path = os.path.join(local_path, local_file_name)

with open(upload_file_path, "r") as data:
#print(data.read())
y = json.loads(data.read())
print(len(y))
for c in y:
print(c[0]+","+c[8]+","+c[36]+","+c[42])

except Exception as ex:
print('Exception:')
print(ex)

 

 

What is JSON?

  • JSON stands for JavaScript Object Notation
  • JSON is a lightweight data-interchange format
  • JSON is "self-describing" and easy to understand
  • JSON is language independent *

MORE JSON: ​​https://www.w3schools.com/js/js_json_intro.asp​​

当在复杂的环境中面临问题,格物之道需:浊而静之徐清,安以动之徐生。 云中,恰是如此!



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