arrays - 使用 Coldfusion 从多个结构和数组中获取值

Question

我有一个 api 调用，可以从第 3 方获取调查结果。然后我反序列化 JSON 结果，它看起来像这样(questionResults 中的 n.b 结构已被最小化以节省空间):

然后我循环遍历第一级并可以提取第一级值(例如 deviceName id 等)但是我似乎无法找到获取问题结果数据的方法。特别是我需要 questionText 和 resultValue 变量。 (在 questionResults 中总是有 11 个数组结果，每个结果都具有相同的设置结构)

目前我正在使用以下代码:

<cfhttp url="#myurl#" method="POST" result="myresult">
  <cfhttpparam type="URL" name="apiKey" value="#apiKey#">
  <cfhttpparam type="URL" name="SurveyId" value="#SurveyId#">       
</cfhttp>

<cfset recordData=DeserializeJSON(#myresult.filecontent#)>

<cfdump var="#recordData#">

<cfloop from="1" to="#ArrayLen(recordData)#" index="i">
   <cfoutput>
     <strong>Record ID:</strong> #recordData[i].id#<br>

      <cfloop from="1" to="#ArrayLen(recordData[i])#" index="j">
            #recordData[i][j]#<br>
      </cfloop>
   </cfoutput>
   <hr> 
 </cfloop>

但是得到错误“Struct cannot be used as an array”

关于如何获取我需要的数据有什么建议吗？

Answer 1

我认为当您遍历结构或数组或几乎任何东西时，脚本语法更容易可视化。

注意:我现在无法访问我的 Gists 以将其保存到 TryCF。

首先，我设置“JSON”值:

<cfscript>

myresult.filecontent = '[
    {
        deviceIdentifier: "asdf" ,
        deviceName : "localiPad1" ,
        id : "23155736" ,
        otherStuff : "adsfasdfasd" ,
        questionResults : [
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "G8N9" ,
                questionText : "Select User" ,
                questionType : "Text" ,
                resultValue : "Beatriz Pinho"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "2" ,
                questionText : "Question2" ,
                questionType : "Text" ,
                resultValue : "Answer2"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "3" ,
                questionText : "Question3" ,
                questionType : "Text" ,
                resultValue : "Answer3"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "4" ,
                questionText : "Question4" ,
                questionType : "Text" ,
                resultValue : "Answer4"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "5" ,
                questionText : "Question5" ,
                questionType : "Text" ,
                resultValue : "Answer5"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "6" ,
                questionText : "Question6" ,
                questionType : "Text" ,
                resultValue : "Answer6"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "7" ,
                questionText : "Question7" ,
                questionType : "Text" ,
                resultValue : "Answer7"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "8" ,
                questionText : "Question8" ,
                questionType : "Text" ,
                resultValue : "Answer8"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "9" ,
                questionText : "Question9" ,
                questionType : "Text" ,
                resultValue : "Answer9"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "10" ,
                questionText : "Question10" ,
                questionType : "Text" ,
                resultValue : "Answer10"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "11" ,
                questionText : "Question11" ,
                questionType : "Text" ,
                resultValue : "Answer11"
            } 
        ] ,
        moreOtherStuff : "asdfasdfasdfasd"
    } ,
    {
        deviceIdentifier: "fdsa" ,
        deviceName : "localiPad2" ,
        id : "2" ,
        otherStuff : "adsfasdfasd" ,
        questionResults : [
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "G8N9" ,
                questionText : "Select User" ,
                questionType : "Text" ,
                resultValue : "Silent Bob"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "2" ,
                questionText : "Question2" ,
                questionType : "Text" ,
                resultValue : "Answer2"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "3" ,
                questionText : "Question3" ,
                questionType : "Text" ,
                resultValue : "Answer3"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "4" ,
                questionText : "Question4" ,
                questionType : "Text" ,
                resultValue : "Answer4"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "5" ,
                questionText : "Question5" ,
                questionType : "Text" ,
                resultValue : "Answer5"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "6" ,
                questionText : "Question6" ,
                questionType : "Text" ,
                resultValue : "Answer6"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "7" ,
                questionText : "Question7" ,
                questionType : "Text" ,
                resultValue : "Answer7"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "8" ,
                questionText : "Question8" ,
                questionType : "Text" ,
                resultValue : "Answer8"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "9" ,
                questionText : "Question9" ,
                questionType : "Text" ,
                resultValue : "Answer9"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "10" ,
                questionText : "Question10" ,
                questionType : "Text" ,
                resultValue : "Answer10"
            } ,
            {
                answerDate : "2018-04-26T09:25:55:55.0000000" ,
                questionIdentifier : "11" ,
                questionText : "Question11" ,
                questionType : "Text" ,
                resultValue : "Answer11"
            } 
        ] ,
        moreOtherStuff : "asdfasdfasdfasd"
    }
]' ;

我创建了一个 JSON 变量来模拟您从 http 请求返回的内容。然后我将从中反序列化 JSON。

recordData = deserializeJSON(myresult.filecontent) ;

这给了我一个很好的数组，里面有结构和其他数组。

这是我发现在脚本中多的部分。

for ( var i IN recordData ) {  // loop through the outer array

    writeOutput("<strong>Record ID:</strong>" & i.id & "<br>") ;

    for ( var j IN i.questionResults ) { // loop through each questionResults
        writeOutput(
            j.questionIdentifier & " - " & 
            j.questionText
            &  " >> " & 
            j.resultValue 
            & " ------- " &
            j.answerDate
            & "<br>"
        ) ;
    }
}

然后关闭我的脚本。

</cfscript>

如果我能让我的 TryCF.com 代码正确显示，您会看到此返回:

Record ID:23155736
G8N9 - Select User >> Beatriz Pinho ------- 2018-04-26T09:25:55:55.0000000
2 - Question2 >> Answer2 ------- 2018-04-26T09:25:55:55.0000000
3 - Question3 >> Answer3 ------- 2018-04-26T09:25:55:55.0000000
4 - Question4 >> Answer4 ------- 2018-04-26T09:25:55:55.0000000
5 - Question5 >> Answer5 ------- 2018-04-26T09:25:55:55.0000000
6 - Question6 >> Answer6 ------- 2018-04-26T09:25:55:55.0000000
7 - Question7 >> Answer7 ------- 2018-04-26T09:25:55:55.0000000
8 - Question8 >> Answer8 ------- 2018-04-26T09:25:55:55.0000000
9 - Question9 >> Answer9 ------- 2018-04-26T09:25:55:55.0000000
10 - Question10 >> Answer10 ------- 2018-04-26T09:25:55:55.0000000
11 - Question11 >> Answer11 ------- 2018-04-26T09:25:55:55.0000000
Record ID:2
G8N9 - Select User >> Silent Bob ------- 2018-04-26T09:25:55:55.0000000
2 - Question2 >> Answer2 ------- 2018-04-26T09:25:55:55.0000000
3 - Question3 >> Answer3 ------- 2018-04-26T09:25:55:55.0000000
4 - Question4 >> Answer4 ------- 2018-04-26T09:25:55:55.0000000
5 - Question5 >> Answer5 ------- 2018-04-26T09:25:55:55.0000000
6 - Question6 >> Answer6 ------- 2018-04-26T09:25:55:55.0000000
7 - Question7 >> Answer7 ------- 2018-04-26T09:25:55:55.0000000
8 - Question8 >> Answer8 ------- 2018-04-26T09:25:55:55.0000000
9 - Question9 >> Answer9 ------- 2018-04-26T09:25:55:55.0000000
10 - Question10 >> Answer10 ------- 2018-04-26T09:25:55:55.0000000
11 - Question11 >> Answer11 ------- 2018-04-26T09:25:55:55.0000000

注意:我在 Lucee 中运行它。 ACF 不喜欢我的 JSON 解析，我还没有仔细研究它不喜欢哪个字符。它仍然有效。 :-)