我是SurveyMonkey API的新手，从API调用中获取有效负载并不是很困难，但是现在我正试图找回特定受访者给出的响应。
我的调查有两位受访者，调查的第一个问题要求用户输入三条信息：他们的姓名，身份证和今天的日期。
所以，如果我打电话给get_survey_details，我可以很好地看到问题。例如
obj.pages[0].questions[0].answers[0].answerid: "xxxxxxxx" //some long ID
obj.pages[0].questions[0].answers[0].text: "Enter Your Name"
obj.pages[0].questions[0].answers[0].type: "row"
该对象中还有更多信息，例如问题是否可见，等等，但这些信息似乎与我所提出的问题相关。
原来如此！我使用相同的survey_id和respondent_id再次调用get_responses（实际上只有两个，所以实际上我都得到了它们）。
在生成的有效负载中，我得到一个包含2个对象的数组（一个用于保存每个响应者的响应）。所以我查看第一个（obj [0]），我看到一系列问题和受访者ID。精细。我查看了问题数组，我看到每个问题都有一个对象，每个问题都有一个答案对象。
这样：
obj[0].questions[0].answers[0].col: "yyyyyy" //some long ID
obj[0].questions[0].answers[0].row: "nnnnnn" //some other long ID
没有回复文字。只是这个行/ col业务。
在这一点上，我非常困惑（这就像经常混淆，但有斗篷）。受访者的实际回应是什么？
“行”和“列”的引用到底是什么？我是否必须使用行和/或列进行其他API调用以获取响应者的响应文本？
我查看了文档（并将在发布后继续这样做）并通过stackoverflow查看是否有其他人之前已经问过这个问题。有一个问题很接近，但实际上他们只是忘记将'get_responses'与'get_survey_details'配对。我这样做，但我仍然像往常一样迷失。我没有看到任何文档真正详细解释这个行/列概念如何用于映射响应文本的响应。 ：/
我知道这是一个非常冗长的问题，但我对如何真正从这个API中得到答案感到困惑。 ：（
感谢阅读。
答案 0 :(得分：2)
给定回复的文本应在＆＃34;文本＆＃34;下进行。键。例如对于仅包含论文风格问题的调查：
{
"status": 0,
"data": [
{
"respondent_id": "123456",
"questions": [
{
"answers": [
{
"text": "This is an essay style answer.",
"row": "0"
}
],
"question_id": "78910"
}
]
}
]
}
＆＃34;排＆＃34;和＆＃34; col＆＃34;字面上引用答案的行和列 - 例如在一个矩阵问题中，会有一系列不同问题的行（＆＃34;您对酒店的看法是什么？＆＃34;）和评分（＆＃34;糟糕，好，很好＆＃34;） - 每个答案都是这些的组合。对于常规的多项选择问题，将有多行且只有一列。
致电＆＃34; get_responses＆＃34;使用正确的respondent_id应该为您提供所需的文本响应。它只是调查中存储的答案的固定详细信息，您必须查找（在get_survey_details中提供）。
答案 1 :(得分：0)
使用 GET：/ surveys / {survey_id} / details ，我们可以获得相应的问题ID以及答案ID。
{
"pages": [
{
"href": "https://api.surveymonkey.net/v3/surveys/87263608/pages/260492760",
"description": "",
"questions": [
{
"sorting": null,
"family": "matrix",
"subtype": "rating",
"required": {
"text": "This question requires an answer.",
"amount": "0",
"type": "all"
},
"answers": {
"rows": [
{
"visible": true,
"text": "",
"position": 1,
"id": "10788526669"
}
],
"choices": [
{
"description": "Not at all likely",
"weight": -100,
"id": "10788526670",
"visible": true,
"is_na": false,
"text": "Not at all likely - 0",
"position": 1
},
{
"description": "",
"weight": -100,
"id": "10788526671",
"visible": true,
"is_na": false,
"text": "1",
"position": 2
},
{
"description": "",
"weight": -100,
"id": "10788526672",
"visible": true,
"is_na": false,
"text": "2",
"position": 3
},
{
"description": "",
"weight": -100,
"id": "10788526673",
"visible": true,
"is_na": false,
"text": "3",
"position": 4
},
{
"description": "",
"weight": -100,
"id": "10788526674",
"visible": true,
"is_na": false,
"text": "4",
"position": 5
},
{
"description": "",
"weight": -100,
"id": "10788526675",
"visible": true,
"is_na": false,
"text": "5",
"position": 6
},
{
"description": "",
"weight": -100,
"id": "10788526676",
"visible": true,
"is_na": false,
"text": "6",
"position": 7
},
{
"description": "",
"weight": 0,
"id": "10788526677",
"visible": true,
"is_na": false,
"text": "7",
"position": 8
},
{
"description": "",
"weight": 0,
"id": "10788526678",
"visible": true,
"is_na": false,
"text": "8",
"position": 9
},
{
"description": "",
"weight": 100,
"id": "10788526679",
"visible": true,
"is_na": false,
"text": "9",
"position": 10
},
{
"description": "Extremely likely",
"weight": 100,
"id": "10788526680",
"visible": true,
"is_na": false,
"text": "Extremely likely - 10",
"position": 11
}
]
},
"visible": true,
"href": "https://api.surveymonkey.net/v3/surveys/87263608/pages/260492760/questions/1044924866",
"headings": [
{
"heading": "How likely is it that you would recommend XYZ to a friend or colleague?"
}
],
"position": 1,
"validation": null,
"id": "1044924866",
"forced_ranking": false
},
{
"sorting": null,
"family": "single_choice",
"subtype": "vertical",
"required": null,
"answers": {
"choices": [
{
"visible": true,
"text": "High Interest",
"position": 1,
"id": "10788529403"
},
{
"visible": true,
"text": "Long process",
"position": 2,
"id": "10788529404"
},
{
"visible": true,
"text": "Low XYZ Amount",
"position": 3,
"id": "10788529405"
},
{
"visible": true,
"text": "Lot of Documents",
"position": 4,
"id": "10788529406"
},
{
"visible": true,
"text": "Bad customer service",
"position": 5,
"id": "10788529407"
}
]
},
"visible": true,
"href": "https://api.surveymonkey.net/v3/surveys/87263608/pages/260492760/questions/1044925207",
"headings": [
{
"heading": "What is the most important issue which we need to address for overall a better service?"
}
],
"position": 2,
"validation": null,
"id": "1044925207",
"forced_ranking": false
}
],
"title": "",
"position": 1,
"id": "260492760",
"question_count": 2
}
],
}
我们可以使用这些ID来解析我们在使用get response API（Bulk或每个响应者）获取响应后得到的答案。
例如：，
如果我的调查有两个问题，例如
https://github.com/ocombe/ng2-translate/issues/209
然后在获取响应后，我们得到一个像这样的json：
{
"total_time": 34,
"href": "https://api.surveymonkey.net/v3/collectors/94630092/responses/5120000552",
"custom_variables": {},
"ip_address": "182.76.20.30",
"id": "5120000552",
"logic_path": {},
"date_modified": "2016-12-01T11:01:11+00:00",
"response_status": "completed",
"custom_value": "LAI100023",
"analyze_url": "http://www.surveymonkey.com/analyze/browse/EvaBWWcU9K1XTH_2FFFBTfFul4ge94MwVWvBk0eAFDJ3c_3D?respondent_id=5120000552",
"pages": [
{
"id": "260492760",
"questions": [
{
"id": "1044924866",
"answers": [
{
"choice_id": "10788526677",
"row_id": "10788526669"
}
]
},
{
"id": "1044925207",
"answers": [
{
"choice_id": "10788529404"
}
]
}
]
}
],
"page_path": [],
"recipient_id": "2743199128",
"collector_id": "94630092",
"date_created": "2016-12-01T11:00:37+00:00",
"survey_id": "87263608",
"collection_mode": "default",
"edit_url": "http://www.surveymonkey.com/r/?sm=SfTljxZSoBFvaRUeGSI6L813qctjfG_2FDCVcqCks7CDc4TcJC_2BNHqmPYD7NNTcvST",
"metadata": {
"contact": {
"first_name": {
"type": "string",
"value": "John"
},
"last_name": {
"type": "string",
"value": "Doe"
},
"email": {
"type": "string",
"value": "neeta@xyz.com"
}
}
}
}
我们可以使用他们在调查详细信息中获得的ID在此回复中使用他们的ID来映射问题和答案。对于开放式文本问题，我们会得到直接类型的回复。