如何处理 saber InstaFlight API JSON 响应

How to process sabre InstaFlight API JSON response

我连接到 saber InstaFlight API 并在 JSON 中得到了结果。输出字符串太长,我可以得到它们的值。但是我的方法是占用大量内存。我想要一种占用更少内存的方式和 VB.NET 中的动态方式。

下面的代码工作正常,没有错误:

response2 = DirectCast(postReq.GetResponse(), HttpWebResponse)
reader2 = New StreamReader(response2.GetResponseStream())
postReq.ContentType = "application/json; charset=utf-8"
Dim ser1 As JObject = JObject.Parse(reader2.ReadToEnd())

我可以得到这样的值,没有错误:

ElapseTime1 = ser1("PricedItineraries")(0)("AirItinerary")("OriginDestinationOptions")("OriginDestinationOption")(0)("ElapsedTime").Value(Of String)()

然而,到了需要数百个变量的地步,这不是正确的方法。

输出示例 JSON:

{ "PricedItineraries": [ { "AirItinerary": { "OriginDestinationOptions": { "OriginDestinationOption": [ { "FlightSegment": [ { "DepartureAirport": { "LocationCode": "JFK" }, "ArrivalAirport": { "LocationCode": "LAS" }, "MarketingAirline": { "Code": "AS" }, "ArrivalTimeZone": { "GMTOffset": -7 }, "TPA_Extensions": { "eTicket": { "Ind": true } }, "StopQuantity": 0, "ElapsedTime": 344, "ResBookDesigCode": "R", "MarriageGrp": "O", "Equipment": { "AirEquipType": 320 }, "DepartureDateTime": "2017-07-07T09:30:00", "ArrivalDateTime": "2017-07-07T12:14:00", "FlightNumber": 1251, "OnTimePerformance": { "Percentage": 70 }, "OperatingAirline": { "CompanyShortName": "VIRGIN AMERICA", "FlightNumber": 251, "Code": "VX" }, "DepartureTimeZone": { "GMTOffset": -4 } }, { "DepartureAirport": { "LocationCode": "LAS" }, "ArrivalAirport": { "LocationCode": "LAX" }, "MarketingAirline": { "Code": "AS" }, "ArrivalTimeZone": { "GMTOffset": -7 }, "TPA_Extensions": { "eTicket": { "Ind": true } }, "StopQuantity": 0, "ElapsedTime": 85, "ResBookDesigCode": "R", "MarriageGrp": "O", "Equipment": { "AirEquipType": 320 }, "DepartureDateTime": "2017-07-07T14:45:00", "ArrivalDateTime": "2017-07-07T16:10:00", "FlightNumber": 1475, "OnTimePerformance": { "Percentage": 36 }, "OperatingAirline": { "CompanyShortName": "VIRGIN AMERICA", "FlightNumber": 475, "Code": "VX" }, "DepartureTimeZone": { "GMTOffset": -7 } } ], "ElapsedTime": 580 }, { "FlightSegment": [ { "DepartureAirport": { "LocationCode": "LAX" }, "ArrivalAirport": { "LocationCode": "LAS" }, "MarketingAirline": { "Code": "AS" }, "ArrivalTimeZone": { "GMTOffset": -7 }, "TPA_Extensions": { "eTicket": { "Ind": true } }, "StopQuantity": 0, "ElapsedTime": 71, "ResBookDesigCode": "R", "MarriageGrp": "O", "Equipment": { "AirEquipType": 320 }, "DepartureDateTime": "2017-07-08T17:00:00", "ArrivalDateTime": "2017-07-08T18:11:00", "FlightNumber": 1480, "OnTimePerformance": { "Percentage": 55 }, "OperatingAirline": { "CompanyShortName": "VIRGIN AMERICA", "FlightNumber": 480, "Code": "VX" }, "DepartureTimeZone": { "GMTOffset": -7 } }, { "DepartureAirport": { "LocationCode": "LAS" }, "ArrivalAirport": { "LocationCode": "JFK" }, "MarketingAirline": { "Code": "AS" }, "ArrivalTimeZone": { "GMTOffset": -4 }, "TPA_Extensions": { "eTicket": { "Ind": true } }, "StopQuantity": 0,

我认为您需要为此结果创建一个模型。根据这个JSON,你必须创建一个class模型。

如果你有这个JSON:

{
"dailyDealId": "432",
"discountPercentage": "0",
"product": {
    "productId": "10",
    "brandId": "10",
    "departmentId": "3",
    "name": "Baby Girl Velour Tunic & Snowflake Legging Set",
    "description": "The pretty set",
    "url": "http://whatever.whatever.com/files/whatever.tif"
}

您需要这个模型:

public class Product
{
    public string productId { get; set; }
    public string brandId { get; set; }
    public string departmentId { get; set; }
    public string name { get; set; }
    public string description { get; set; }
    public string url { get; set; }
}

public class Data
{
    public string dailyDealId { get; set; }
    public string discountPercentage { get; set; }
    public Product product { get; set; }
}