javascript - 如何减少json数据-6ren

javascript - 如何减少json数据

转载作者：行者123 更新时间：2023-12-01 01:18:51

let c=[
      {
        "eventid": 29096475,
        "eventname": "Fortuna Dusseldorf v Stuttgart",
        "opendate": "2019-02-09T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154041432",
        "runners": "[{\"selectionId\":879210,\"runnerName\":\"Fortuna Dusseldorf\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44519,\"runnerName\":\"Stuttgart\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "7.18",
        "selectionid": "879210",
        "backoddprice": "[{\"price\":2.12,\"size\":234.19},{\"price\":2.02,\"size\":272.12},{\"price\":1.94,\"size\":251.02}]",
        "layoddprice": "[{\"price\":2.36,\"size\":262.1},{\"price\":2.44,\"size\":15.95},{\"price\":2.58,\"size\":145.6}]"
      },
      {
        "eventid": 29096475,
        "eventname": "Fortuna Dusseldorf v Stuttgart",
        "opendate": "2019-02-09T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154041432",
        "runners": "[{\"selectionId\":879210,\"runnerName\":\"Fortuna Dusseldorf\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44519,\"runnerName\":\"Stuttgart\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "7.18",
        "selectionid": "44519",
        "backoddprice": "[{\"price\":3.3,\"size\":113.83},{\"price\":3.05,\"size\":180.24},{\"price\":2.9,\"size\":23.74}]",
        "layoddprice": "[{\"price\":3.95,\"size\":262.48},{\"price\":4.6,\"size\":84.74},{\"price\":1000,\"size\":4.48}]"
      },
      {
        "eventid": 29096475,
        "eventname": "Fortuna Dusseldorf v Stuttgart",
        "opendate": "2019-02-09T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154041432",
        "runners": "[{\"selectionId\":879210,\"runnerName\":\"Fortuna Dusseldorf\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44519,\"runnerName\":\"Stuttgart\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "7.18",
        "selectionid": "58805",
        "backoddprice": "[{\"price\":3.25,\"size\":116.58},{\"price\":3.05,\"size\":224.71},{\"price\":1.01,\"size\":139.27}]",
        "layoddprice": "[{\"price\":3.95,\"size\":139.17},{\"price\":4.3,\"size\":122.84},{\"price\":4.5,\"size\":86.06}]"
      },
      {
        "eventid": 29065439,
        "eventname": "Hannover v RB Leipzig",
        "opendate": "2019-02-01T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.153118681",
        "runners": "[{\"selectionId\":197307,\"runnerName\":\"Hannover\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":5340398,\"runnerName\":\"RB Leipzig\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "340.79",
        "selectionid": "197307",
        "backoddprice": "[{\"price\":6,\"size\":206.45},{\"price\":5.8,\"size\":46.89},{\"price\":5.7,\"size\":216.99}]",
        "layoddprice": "[{\"price\":6.4,\"size\":38.75},{\"price\":6.6,\"size\":275.14},{\"price\":7,\"size\":142.04}]"
      },
      {
        "eventid": 29065439,
        "eventname": "Hannover v RB Leipzig",
        "opendate": "2019-02-01T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.153118681",
        "runners": "[{\"selectionId\":197307,\"runnerName\":\"Hannover\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":5340398,\"runnerName\":\"RB Leipzig\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "340.79",
        "selectionid": "5340398",
        "backoddprice": "[{\"price\":1.58,\"size\":523.32},{\"price\":1.57,\"size\":319.63},{\"price\":1.56,\"size\":1755.76}]",
        "layoddprice": "[{\"price\":1.61,\"size\":180.92},{\"price\":1.62,\"size\":944.98},{\"price\":1.64,\"size\":791.3}]"
      },
      {
        "eventid": 29065439,
        "eventname": "Hannover v RB Leipzig",
        "opendate": "2019-02-01T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.153118681",
        "runners": "[{\"selectionId\":197307,\"runnerName\":\"Hannover\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":5340398,\"runnerName\":\"RB Leipzig\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "340.79",
        "selectionid": "58805",
        "backoddprice": "[{\"price\":4.5,\"size\":170.07},{\"price\":4.4,\"size\":151.38},{\"price\":4.3,\"size\":465.06}]",
        "layoddprice": "[{\"price\":4.8,\"size\":278.55},{\"price\":4.9,\"size\":89.63},{\"price\":5,\"size\":166.17}]"
      },
      {
        "eventid": 29096467,
        "eventname": "Mgladbach v Hertha Berlin",
        "opendate": "2019-02-08T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154040688",
        "runners": "[{\"selectionId\":84649,\"runnerName\":\"Mgladbach\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44518,\"runnerName\":\"Hertha Berlin\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "55.78",
        "selectionid": "84649",
        "backoddprice": "[{\"price\":1.78,\"size\":13.31},{\"price\":1.76,\"size\":235.77},{\"price\":1.69,\"size\":15.54}]",
        "layoddprice": "[{\"price\":1.85,\"size\":262.21},{\"price\":1.86,\"size\":13.39},{\"price\":2.1,\"size\":163.36}]"
      },
      {
        "eventid": 29096467,
        "eventname": "Mgladbach v Hertha Berlin",
        "opendate": "2019-02-08T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154040688",
        "runners": "[{\"selectionId\":84649,\"runnerName\":\"Mgladbach\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44518,\"runnerName\":\"Hertha Berlin\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "55.78",
        "selectionid": "44518",
        "backoddprice": "[{\"price\":4.2,\"size\":83.73},{\"price\":3.95,\"size\":120.42},{\"price\":1.04,\"size\":412.45}]",
        "layoddprice": "[{\"price\":5.2,\"size\":94.84},{\"price\":1000,\"size\":6.14}]"
      },
      {
        "eventid": 29096467,
        "eventname": "Mgladbach v Hertha Berlin",
        "opendate": "2019-02-08T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154040688",
        "runners": "[{\"selectionId\":84649,\"runnerName\":\"Mgladbach\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44518,\"runnerName\":\"Hertha Berlin\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "55.78",
        "selectionid": "58805",
        "backoddprice": "[{\"price\":3.75,\"size\":17.08},{\"price\":3.7,\"size\":115.18},{\"price\":3.55,\"size\":102.56}]",
        "layoddprice": "[{\"price\":4.8,\"size\":264.34},{\"price\":1000,\"size\":11.1}]"
      }
    
      
    ]
    let ui=[]

    let j=c.reduce((o,a)=>{
     
     let inner=ui.filter(h=>h.eventid==a.eventid);
     if(inner.length>0)
      {
               a.runners.forEach(s=>{
      if(a.selectionid==s.selectionId)
      {
        let ones={};
        ones["selectionid"]=a.selectionid;
        ones["selectionname"]=s.runnerName;
        ones["backoddprice"]=a.backoddprice;
        ones["layoddprice"]=a.layoddprice;
        inner.runners.push(ones);


      }


    })


    console.log("llllllllllll");
      }

      else{
    let nn={};
    let inrunners=[];
    nn["eventid"]=a.eventid;
    nn["eventname"]=a.eventname;

    JSON.parse(a.runners).forEach(s=>{
      if(a.selectionid==s.selectionId)
      {
        let ones={};
        ones["selectionid"]=a.selectionid;
        ones["selectionname"]=s.runnerName;
        ones["backoddprice"]=a.backoddprice;
        ones["layoddprice"]=a.layoddprice;
        inrunners.push(ones);

      }


    })

    nn["runners"]=inrunners;
    o.push(nn);

      }
      
    return o;
      
    },[])

   console.log(JSON.stringify(j))

我有这个 betfair api 数据，我想对其进行排序，我正在寻找的是，如果 eventid 相同，则应推送运行者数组中的数据，我希望预期输出应如下所示，我已经尝试过，但我我无法达到预期的结果。任何帮助将不胜感激。谢谢

I expect something like this for each individual object

{
    "eventid": 29065439,
    "eventname": "Fortuna Dusseldorf v Stuttgart",
    "opendate": "2019-02-01T18:30:00.000Z",
    "eventtypeid": 1,
    "eventtypename": "Soccer",
    "marketname": "Match Odds",
    "marketid": "1.153118681",
  "runners": [
    {
      "selectionid": "879210",
      "selectionname": "Fortuna Dusseldorf",
      "backoddprice": "[{\"price\":2.12,\"size\":234.19},{\"price\":2.02,\"size\":272.12},{\"price\":1.94,\"size\":251.02}]",
      "layoddprice": "[{\"price\":2.36,\"size\":262.1},{\"price\":2.44,\"size\":15.95},{\"price\":2.58,\"size\":145.6}]"
    },
    {
      "selectionid": "44519",
      "selectionname": "Stuttgart",
      "backoddprice": "[{\"price\":3.3,\"size\":113.83},{\"price\":3.05,\"size\":180.24},{\"price\":2.9,\"size\":23.74}]",
      "layoddprice": "[{\"price\":3.95,\"size\":262.48},{\"price\":4.6,\"size\":84.74},{\"price\":1000,\"size\":4.48}]"
    },
    {
      "selectionid": "58805",
      "selectionname": "The Draw",
      "backoddprice": "[{\"price\":3.25,\"size\":116.58},{\"price\":3.05,\"size\":224.71},{\"price\":1.01,\"size\":139.27}]",
      "layoddprice": "[{\"price\":3.95,\"size\":139.17},{\"price\":4.3,\"size\":122.84},{\"price\":4.5,\"size\":86.06}]"
    }
  ]
}

这是我到目前为止所尝试过的，数据相当大，所以我无法在这里创建片段

最佳答案

我无法将您的输入 json 和预期输出 json 关联起来。

这里是测试的jsfiddle链接https://jsfiddle.net/4tv0dsw6/

let c=[
      {
        "eventid": 29096475,
        "eventname": "Fortuna Dusseldorf v Stuttgart",
        "opendate": "2019-02-09T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154041432",
        "runners": "[{\"selectionId\":879210,\"runnerName\":\"Fortuna Dusseldorf\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44519,\"runnerName\":\"Stuttgart\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "7.18",
        "selectionid": "879210",
        "backoddprice": "[{\"price\":2.12,\"size\":234.19},{\"price\":2.02,\"size\":272.12},{\"price\":1.94,\"size\":251.02}]",
        "layoddprice": "[{\"price\":2.36,\"size\":262.1},{\"price\":2.44,\"size\":15.95},{\"price\":2.58,\"size\":145.6}]"
      },
      {
        "eventid": 29096475,
        "eventname": "Fortuna Dusseldorf v Stuttgart",
        "opendate": "2019-02-09T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154041432",
        "runners": "[{\"selectionId\":879210,\"runnerName\":\"Fortuna Dusseldorf\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44519,\"runnerName\":\"Stuttgart\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "7.18",
        "selectionid": "44519",
        "backoddprice": "[{\"price\":3.3,\"size\":113.83},{\"price\":3.05,\"size\":180.24},{\"price\":2.9,\"size\":23.74}]",
        "layoddprice": "[{\"price\":3.95,\"size\":262.48},{\"price\":4.6,\"size\":84.74},{\"price\":1000,\"size\":4.48}]"
      },
      {
        "eventid": 29096475,
        "eventname": "Fortuna Dusseldorf v Stuttgart",
        "opendate": "2019-02-09T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154041432",
        "runners": "[{\"selectionId\":879210,\"runnerName\":\"Fortuna Dusseldorf\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44519,\"runnerName\":\"Stuttgart\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "7.18",
        "selectionid": "58805",
        "backoddprice": "[{\"price\":3.25,\"size\":116.58},{\"price\":3.05,\"size\":224.71},{\"price\":1.01,\"size\":139.27}]",
        "layoddprice": "[{\"price\":3.95,\"size\":139.17},{\"price\":4.3,\"size\":122.84},{\"price\":4.5,\"size\":86.06}]"
      },
      {
        "eventid": 29065439,
        "eventname": "Hannover v RB Leipzig",
        "opendate": "2019-02-01T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.153118681",
        "runners": "[{\"selectionId\":197307,\"runnerName\":\"Hannover\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":5340398,\"runnerName\":\"RB Leipzig\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "340.79",
        "selectionid": "197307",
        "backoddprice": "[{\"price\":6,\"size\":206.45},{\"price\":5.8,\"size\":46.89},{\"price\":5.7,\"size\":216.99}]",
        "layoddprice": "[{\"price\":6.4,\"size\":38.75},{\"price\":6.6,\"size\":275.14},{\"price\":7,\"size\":142.04}]"
      },
      {
        "eventid": 29065439,
        "eventname": "Hannover v RB Leipzig",
        "opendate": "2019-02-01T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.153118681",
        "runners": "[{\"selectionId\":197307,\"runnerName\":\"Hannover\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":5340398,\"runnerName\":\"RB Leipzig\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "340.79",
        "selectionid": "5340398",
        "backoddprice": "[{\"price\":1.58,\"size\":523.32},{\"price\":1.57,\"size\":319.63},{\"price\":1.56,\"size\":1755.76}]",
        "layoddprice": "[{\"price\":1.61,\"size\":180.92},{\"price\":1.62,\"size\":944.98},{\"price\":1.64,\"size\":791.3}]"
      },
      {
        "eventid": 29065439,
        "eventname": "Hannover v RB Leipzig",
        "opendate": "2019-02-01T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.153118681",
        "runners": "[{\"selectionId\":197307,\"runnerName\":\"Hannover\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":5340398,\"runnerName\":\"RB Leipzig\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "340.79",
        "selectionid": "58805",
        "backoddprice": "[{\"price\":4.5,\"size\":170.07},{\"price\":4.4,\"size\":151.38},{\"price\":4.3,\"size\":465.06}]",
        "layoddprice": "[{\"price\":4.8,\"size\":278.55},{\"price\":4.9,\"size\":89.63},{\"price\":5,\"size\":166.17}]"
      },
      {
        "eventid": 29096467,
        "eventname": "Mgladbach v Hertha Berlin",
        "opendate": "2019-02-08T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154040688",
        "runners": "[{\"selectionId\":84649,\"runnerName\":\"Mgladbach\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44518,\"runnerName\":\"Hertha Berlin\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "55.78",
        "selectionid": "84649",
        "backoddprice": "[{\"price\":1.78,\"size\":13.31},{\"price\":1.76,\"size\":235.77},{\"price\":1.69,\"size\":15.54}]",
        "layoddprice": "[{\"price\":1.85,\"size\":262.21},{\"price\":1.86,\"size\":13.39},{\"price\":2.1,\"size\":163.36}]"
      },
      {
        "eventid": 29096467,
        "eventname": "Mgladbach v Hertha Berlin",
        "opendate": "2019-02-08T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154040688",
        "runners": "[{\"selectionId\":84649,\"runnerName\":\"Mgladbach\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44518,\"runnerName\":\"Hertha Berlin\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "55.78",
        "selectionid": "44518",
        "backoddprice": "[{\"price\":4.2,\"size\":83.73},{\"price\":3.95,\"size\":120.42},{\"price\":1.04,\"size\":412.45}]",
        "layoddprice": "[{\"price\":5.2,\"size\":94.84},{\"price\":1000,\"size\":6.14}]"
      },
      {
        "eventid": 29096467,
        "eventname": "Mgladbach v Hertha Berlin",
        "opendate": "2019-02-08T18:30:00.000Z",
        "eventtypeid": 1,
        "eventtypename": "Soccer",
        "marketname": "Match Odds",
        "marketid": "1.154040688",
        "runners": "[{\"selectionId\":84649,\"runnerName\":\"Mgladbach\",\"handicap\":0,\"sortPriority\":1},{\"selectionId\":44518,\"runnerName\":\"Hertha Berlin\",\"handicap\":0,\"sortPriority\":2},{\"selectionId\":58805,\"runnerName\":\"The Draw\",\"handicap\":0,\"sortPriority\":3}]",
        "totalmatched": "55.78",
        "selectionid": "58805",
        "backoddprice": "[{\"price\":3.75,\"size\":17.08},{\"price\":3.7,\"size\":115.18},{\"price\":3.55,\"size\":102.56}]",
        "layoddprice": "[{\"price\":4.8,\"size\":264.34},{\"price\":1000,\"size\":11.1}]"
      }


    ];
 console.log("c",c)

//Code starts from here
    result = [];
    mappedEventIds = [];
    a = c.reduce((v, k)=>{
    k.runners = JSON.parse(k.runners);    
    k.backoddprice = JSON.parse(k.backoddprice);
    k.layoddprice = JSON.parse(k.layoddprice);

    eventIndex = mappedEventIds.indexOf(k.eventid);
     if(eventIndex === -1){
     //if not already mapped
     mappedEventIds.push(k.eventid);
     for(var i =0; i < k.runners.length; i++){
      k.runners[i].backoddprice = k.backoddprice;       

      k.runners[i].layoddprice = k.layoddprice;
     }
     result.push(k);
     }else{
      //if mapped already
      // I think this is duplicated, if yes. comment out or delete this else loop
      for(var i =0; i < k.runners.length; i++){
                k.runners[i].backoddprice = k.backoddprice;                  
                 k.runners[i].layoddprice = k.layoddprice;
            result[eventIndex].runners.push(k.runners[i]); 
      }

     }

  });
  console.log("result", result);

关于javascript - 如何减少json数据，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/54452880/

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javascript - 如何减少json数据