C# 如何使用Yahoo Api中的索引解析json数组

C# 如何使用Yahoo Api中的索引解析json数组,c#,json,json.net,C#,Json,Json.net,鉴于Yahoo API的这一响应,我试图使用Newtonsoft.Json和ASP.NET/C#解析其中的玩家。我还想在最后检查count的值 { "fantasy_content": { "xml:lang": "en-US", "yahoo:uri": "/fantasy/v2/game/nfl/players", "game": [ { "game_key": "390", "game_id": "390",

鉴于Yahoo API的这一响应,我试图使用Newtonsoft.Json和ASP.NET/C#解析其中的玩家。我还想在最后检查
count
的值

{
  "fantasy_content": {
    "xml:lang": "en-US",
    "yahoo:uri": "/fantasy/v2/game/nfl/players",
    "game": [
      {
        "game_key": "390",
        "game_id": "390",
        "name": "Football",
        "code": "nfl",
        "type": "full",
        "url": "https://football.fantasysports.yahoo.com/f1",
        "season": "2019",
        "is_registration_over": 0,
        "is_game_over": 0,
        "is_offseason": 0
      },
      {
        "players": {
          "0": {
            "player": [
              [
                {
                  "player_key": "390.p.30972"
                },
                {
                  "player_id": "30972"
                },
                {
                  "name": {
                    "full": "Saquon Barkley",
                    "first": "Saquon",
                    "last": "Barkley",
                    "ascii_first": "Saquon",
                    "ascii_last": "Barkley"
                  }
                },
                {
                  "editorial_player_key": "nfl.p.30972"
                },
                {
                  "editorial_team_key": "nfl.t.19"
                },
                {
                  "editorial_team_full_name": "New York Giants"
                },
                {
                  "editorial_team_abbr": "NYG"
                },
                {
                  "bye_weeks": {
                    "week": "11"
                  }
                },
                {
                  "uniform_number": "26"
                },
                {
                  "display_position": "RB"
                },
                {
                  "headshot": {
                    "url": "https://s.yimg.com/iu/api/res/1.2/RtPm7fdFHthz1._DrpkAqA--~C/YXBwaWQ9eXNwb3J0cztjaD0yMzM2O2NyPTE7Y3c9MTc5MDtkeD04NTc7ZHk9MDtmaT11bGNyb3A7aD02MDtxPTEwMDt3PTQ2/https://s.yimg.com/xe/i/us/sp/v/nfl_cutout/players_l/09242018/30972.png",
                    "size": "small"
                  },
                  "image_url": "https://s.yimg.com/iu/api/res/1.2/RtPm7fdFHthz1._DrpkAqA--~C/YXBwaWQ9eXNwb3J0cztjaD0yMzM2O2NyPTE7Y3c9MTc5MDtkeD04NTc7ZHk9MDtmaT11bGNyb3A7aD02MDtxPTEwMDt3PTQ2/https://s.yimg.com/xe/i/us/sp/v/nfl_cutout/players_l/09242018/30972.png"
                },
                {
                  "is_undroppable": "0"
                },
                {
                  "position_type": "O"
                },
                [],
                {
                  "eligible_positions": [
                    {
                      "position": "RB"
                    }
                  ]
                },
                [],
                [],
                []
              ]
            ]
          },
          "1": {
            "player": [
              [
                {
                  "player_key": "390.p.29238"
                },
                {
                  "player_id": "29238"
                },
                {
                  "name": {
                    "full": "Ezekiel Elliott",
                    "first": "Ezekiel",
                    "last": "Elliott",
                    "ascii_first": "Ezekiel",
                    "ascii_last": "Elliott"
                  }
                },
                {
                  "editorial_player_key": "nfl.p.29238"
                },
                {
                  "editorial_team_key": "nfl.t.6"
                },
                {
                  "editorial_team_full_name": "Dallas Cowboys"
                },
                {
                  "editorial_team_abbr": "Dal"
                },
                {
                  "bye_weeks": {
                    "week": "8"
                  }
                },
                {
                  "uniform_number": "21"
                },
                {
                  "display_position": "RB"
                },
                {
                  "headshot": {
                    "url": "https://s.yimg.com/iu/api/res/1.2/.0ocryeNkGmnFWlYOhT4hw--~C/YXBwaWQ9eXNwb3J0cztjaD0yMzM2O2NyPTE7Y3c9MTc5MDtkeD04NTc7ZHk9MDtmaT11bGNyb3A7aD02MDtxPTEwMDt3PTQ2/https://s.yimg.com/xe/i/us/sp/v/nfl_cutout/players_l/09272018/29238.png",
                    "size": "small"
                  },
                  "image_url": "https://s.yimg.com/iu/api/res/1.2/.0ocryeNkGmnFWlYOhT4hw--~C/YXBwaWQ9eXNwb3J0cztjaD0yMzM2O2NyPTE7Y3c9MTc5MDtkeD04NTc7ZHk9MDtmaT11bGNyb3A7aD02MDtxPTEwMDt3PTQ2/https://s.yimg.com/xe/i/us/sp/v/nfl_cutout/players_l/09272018/29238.png"
                },
                {
                  "is_undroppable": "0"
                },
                {
                  "position_type": "O"
                },
                [],
                {
                  "eligible_positions": [
                    {
                      "position": "RB"
                    }
                  ]
                },
                [],
                [],
                []
              ]
            ]
          },
          "2": {
            "player": [
              [
                {
                  "player_key": "390.p.30180"
                },
                {
                  "player_id": "30180"
                },
                {
                  "name": {
                    "full": "Alvin Kamara",
                    "first": "Alvin",
                    "last": "Kamara",
                    "ascii_first": "Alvin",
                    "ascii_last": "Kamara"
                  }
                },
                {
                  "editorial_player_key": "nfl.p.30180"
                },
                {
                  "editorial_team_key": "nfl.t.18"
                },
                {
                  "editorial_team_full_name": "New Orleans Saints"
                },
                {
                  "editorial_team_abbr": "NO"
                },
                {
                  "bye_weeks": {
                    "week": "9"
                  }
                },
                {
                  "uniform_number": "41"
                },
                {
                  "display_position": "RB"
                },
                {
                  "headshot": {
                    "url": "https://s.yimg.com/iu/api/res/1.2/loANJKjPdmUu1gM1jyKK1A--~C/YXBwaWQ9eXNwb3J0cztjaD0yMzM2O2NyPTE7Y3c9MTc5MDtkeD04NTc7ZHk9MDtmaT11bGNyb3A7aD02MDtxPTEwMDt3PTQ2/https://s.yimg.com/xe/i/us/sp/v/nfl_cutout/players_l/08252018/30180.png",
                    "size": "small"
                  },
                  "image_url": "https://s.yimg.com/iu/api/res/1.2/loANJKjPdmUu1gM1jyKK1A--~C/YXBwaWQ9eXNwb3J0cztjaD0yMzM2O2NyPTE7Y3c9MTc5MDtkeD04NTc7ZHk9MDtmaT11bGNyb3A7aD02MDtxPTEwMDt3PTQ2/https://s.yimg.com/xe/i/us/sp/v/nfl_cutout/players_l/08252018/30180.png"
                },
                {
                  "is_undroppable": "0"
                },
                {
                  "position_type": "O"
                },
                [],
                {
                  "eligible_positions": [
                    {
                      "position": "RB"
                    }
                  ]
                },
                [],
                [],
                []
              ]
            ]
          },
          "count": 3
        }
      }
    ],
    "time": "181.84494972229ms",
    "copyright": "Data provided by Yahoo! and STATS, LLC",
    "refresh_rate": "60"
  }
}
有两件事让我很反感

  • 游戏
    是一个看起来很奇怪的数组
  • 每个玩家面前都有一个索引,比如

    0:{玩家:{//dah-dah-dah}

  • 如果没有索引,我可能会使用以下方法来解决:

    var jObject = JObject.Parse(await response.Content.ReadAsStringAsync());
    if (jObject.ContainsKey("players"))
    {
        var yPs = jObject["players"].ToObject<YahooPlayerListJson>();
        yPlayerList.AddRange(yPs.YPlayers);
        if(yPs.Count < 25) { f = 5000; }
    }
    
    var jObject=jObject.Parse(wait response.Content.ReadAsStringAsync());
    if(jObject.ContainsKey(“玩家”))
    {
    var yPs=jObject[“players”].ToObject();
    yPlayerList.AddRange(yPs.YPlayers);
    如果(yPs.Count<25){f=5000;}
    }
    

    但是索引给我带来了困难。我如何解析这个JSON呢?

    呃,这是一个非常糟糕的JSON格式。异构数组使得使用它特别困难。在我看来,这个数据转换得很糟糕如果是这样的话,直接使用XML可能更简单。在任何情况下,我们都可以让它工作。下面是我将采取的方法

  • 制作一些类来捕获您感兴趣的玩家数据:

    public class Player
    {
        public string PlayerKey { get; set; }
        public string PlayerId { get; set; }
        public Name Name { get; set; }
        public string EditorialPlayerKey { get; set; }
        public string EditorialTeamKey { get; set; }
        public string EditorialTeamFullName { get; set; }
        public string EditorialTeamAbbr { get; set; }
        public Week ByeWeeks { get; set; }
        public string UniformNumber { get; set; }
        public string DisplayPosition { get; set; }
        public Photo Headshot { get; set; }
        public string ImageUrl { get; set; }
        public string IsUndroppable { get; set; }
        public string PositionType { get; set; }
        public Position[] EligiblePositions { get; set; }
    }
    
    public class Name
    {
        public string Full { get; set; }
        public string First { get; set; }
        public string Last { get; set; }
    }
    
    public class Photo
    {
        public string Url { get; set; }
        public string Size { get; set; }
    }
    
    public class Week
    {
        [JsonProperty("week")]
        public int Number { get; set; }
    }
    
    public class Position
    {
        [JsonProperty("position")]
        public string Name { get; set; }
    }
    
  • 设置一个配置了的序列化程序。这将处理JSON中的
    snake_案例
    属性名称到C#类中的
    ProperCase
    属性名称的转换

  • 将JSON解析为一个字符串

  • 从那里,使用查询填充
    玩家列表
    ,如下所示

    这里我使用递归下降表达式作为向下搜索
    player
    对象的快捷方式。JSON中的每个player实际上是一个包含混合内容数组的数组,其中内容由一些对象组成,每个对象包含一个不同的属性,还有一些无用的空数组。因此,我过滤内部数组只包含真实数据的对象,然后使用将其所有属性收集到一个平面
    可枚举的
    ,然后将其放入一个临时
    作业对象
    。从那里,我使用前面配置的序列化程序从
    作业对象
    创建一个新的
    播放器
    实例,并返回
    播放器
    >以便将其放入结果列表中

    List<Player> players =
        root.SelectTokens("$..player")
            .Select(jt =>
            {
                JObject tempObj = new JObject(
                    jt.Children<JArray>()
                      .First()
                      .Children<JObject>()
                      .SelectMany(jo => jo.Properties())
                );
                return tempObj.ToObject<Player>(serializer);
            })
            .ToList();
    

  • 这是一个正在运行的演示:

    谢谢Brian,我刚从一个短暂的假期回来。我很高兴尝试一下。是的,你是对的,yahoo的默认格式是XML,但是他们提供了(糟糕的)相同数据的json格式。你知道有任何与Newtonsoft.json等效的XML读取器/解析器吗?无论哪种方式,都会在接下来的几天内尝试一下,谢谢你的详细回答。我在发帖后已经接近这个问题,但在arraysYes方面仍然有困难。是的,如果你想将XML反序列化到类结构中e您可以使用该类;如果您更喜欢LINQ样式的查询来从XML提取数据,请看一看。两者都是.Net framework的一部分,因此您不需要任何额外的库。太棒了!它工作得很好!不知道如何在命名约定(“$…player”等)中使用令牌。非常感谢您的帮助!
    string json = await response.Content.ReadAsStringAsync();
    JObject root = JObject.Parse(json);
    
    List<Player> players =
        root.SelectTokens("$..player")
            .Select(jt =>
            {
                JObject tempObj = new JObject(
                    jt.Children<JArray>()
                      .First()
                      .Children<JObject>()
                      .SelectMany(jo => jo.Properties())
                );
                return tempObj.ToObject<Player>(serializer);
            })
            .ToList();
    
    int playerCount = (int)root.SelectToken("$..players.count");
    
    if (players.Count != playerCount)
        throw new Exception("The number of players in the list does not match the player count!");