如何从json响应中填充数据模型并添加到列表C＃

Question

我正在尝试从托管在Web服务器上的MySql数据库中获取一些json数据，并填充我想用于在列表中显示我的数据库条目的数据模型。目前，我已经能够对数据进行反序列化，以查找表中有多少条目，但我对如何填充数据模型感到困惑，我可以将其添加到列表中。

我的代码是

public async Task<List<JobItem>> RefreshJobsAsync()
{
    JobItems = new List<JobItem>();
    var uri = new Uri(string.Format(Constants.RestUrl, Constants.JobsUrl));
    try
    {
        var response = await client.GetAsync(uri);
        if (response.IsSuccessStatusCode)
        {
            var content = await response.Content.ReadAsStringAsync();
            var job = JsonConvert.DeserializeObject<RootObject>(content);

            Debug.WriteLine("MySql Table has " + job.jobs.records.Count + " jobs entries"); // Output in console is [0:] MySql Table has 3 jobs entries
        }
    }
    catch (Exception ex)
    {
        Debug.WriteLine(@"              ERROR {0}", ex.Message);
    }
    return JobItems;
}

我使用json2Sharp.com来生成这些类

public class Jobs
{
    public List<string> columns { get; set; }
    public List<List<object>> records { get; set; }
}

public class RootObject
{
    public Jobs jobs { get; set; }
}

我要填充的数据模型是

public class JobItem
{
    public string job_id { get; set; }
    public string user_id { get; set; }
    public string start_date { get; set; }
    public string start_time { get; set; }
    public string description { get; set; }
    public string qualification { get; set; }
    public string address { get; set; }
    public string minimum_experience { get; set; }
    public string position_filled { get; set; }
    public DateTime date_posted { get; set; }
}

最后json响应是

{
  "jobs": {
    "columns": [
      "job_id",
      "user_id",
      "start_date",
      "start_time",
      "description",
      "qualification",
  "address",
  "minimum_experience",
  "position_filled",
  "date_posted"
],
"records": [
  [
    1,
    0,
    "0000-00-00",
    "00:00:00",
    "",
    "",
    "",
    "",
    "0",
    "2017-09-25 17:46:08"
  ],
  [
    4,
    0,
    "0000-00-00",
    "00:00:00",
    "",
    "",
    "",
    "",
    "0",
    "2017-09-25 17:46:08"
  ],
  [
    5,
    0,
    "0000-00-00",
    "00:00:00",
    "",
    "",
    "",
    "",
    "0",
    "2017-09-25 17:46:08"
   ]
   ]
 }
}