我的目标是从使用Google Apps脚本对Qualtrics进行的调查中导出回答。我正在尝试使我的代码能够使用POST API,并且可以对ping进行编码,但是无论ping为何,它都会返回“ httpStatus:400错误请求”错误。
我对Google Apps脚本和API都是陌生的,但了解它的要旨。我使用Postman获取了JavaScript Jquery ajax代码,并将其与GAS一起使用。令我感到困惑的是,当我将相同的代码与GET API一起使用并手动输入ID(使用POSTMAN给我)时,它会ping通。通过Postman运行它时,它表明一切都在进行中,所以不确定POST调用在做什么。
var option = {
async: true,
crossDomain: true,
//url:"https://ousurvey.ca1.qualtrics.com/API/v3/surveys/SV_8dK8AKUFyAH8qyN//export-responses/",
method: "POST",
"headers": {
"X-API-TOKEN": "**************************",
"Content-Type": "application/json",
"cache-control": "no-cache",
"Postman-Token": "7a148b75-fa03-4f45-9782-08791c2f1c35"
},
processData: false,
data : '{"format": "csv}',
muteHttpExceptions: true //muted to check Logger
};
var qUrl='https://ousurvey.ca1.qualtrics.com/API/v3/surveys/SV_8dK8AKUFyAH8qyN/export-responses/'
var getSurvey = UrlFetchApp.fetch(qUrl, option);
我需要获取POST才能获取JSON以获取调查ID,因此我可以将该ID与GET API结合使用,以将信息下载到Google驱动器并将信息转换为GoogleDocs。
这是日志中的当前错误:
{"meta":{"httpStatus":"400 - Bad Request","error":{"errorMessage":"Error decoding json body:
com.fasterxml.jackson.databind.JsonMappingException: No content to map due to end-of-input\n at
[Source: akka.util.ByteIterator$ByteArrayIterator$$anon$1@71f9c2bb; line: 1, column: 0]"}}}
将“ Content-Type”更改为“ contentType”后,出现此错误:
""meta":{"requestId":"62b3a313-b1ba-4939-83b7-ee73e65b4e3e","httpStatus":"400
- Bad Request","error":{"errorCode":"QVAL_1","errorMessage":"Json type request body is expected.""
答案 0 :(得分:0)
从您的问题和回复评论中,我可以像上面那样理解。看到您提供的文档时,我发现了以下示例curl命令。
import numpy as np
import pandas as pd
import re
>>>df
name number date
a 1.2 123.2
b 123.2 3/13/2019
c 2.3 3/14/2019
d 569 3/15/2019
e abc 3/15/2019
f 30 abc
g 39.8 -3
h 3/21/2019 3/19/2019
i -395 3/20/2019
j 4 3/21/2019
# Matches m/dd/yyyy
dt_pattern = r'[0-9]{1,2}/[0-9]{1,2}/[0-9]{4}'
dt = re.compile(dt_pattern)
# alphabet strings
wd_pattern = r'[a-zA-Z]+'
wd = re.compile(wd_pattern)
df.loc[:,'date'] = [d if dt.match(str(d)) else np.nan for d in df.loc[:, 'date']]
df.loc[:,'number'] = [d if not any([wd.match(str(d)), dt.match(str(d))]) else np.nan for d in df.loc[:, 'number']]
df['date'] = pd.to_datetime(df['date'], errors='coerce')
>>>df
name number date
0 a 1.2 NaT
1 b 123.2 2019-03-13
2 c 2.3 2019-03-14
3 d 569 2019-03-15
4 e NaN 2019-03-15
5 f 30 NaT
6 g 39.8 NaT
7 h NaN 2019-03-19
8 i -395 2019-03-20
9 j 4 2019-03-21
我将此示例转换为Google Apps脚本的脚本。示例脚本如下。
curl -X POST \
-H 'X-API-TOKEN: yourapitokenhere' \
-H 'Content-Type: application/json' \
-d '{"format": "csv"}' \
'https://yourdatacenterid.qualtrics.com/API/v3/surveys/SV_012345678912345/export-responses'
var qUrl = "https://ousurvey.ca1.qualtrics.com/API/v3/surveys/SV_8dK8AKUFyAH8qyN/export-responses/";
var option = {
method: "post",
headers: {"X-API-TOKEN": "###"},
contentType: "application/json",
payload: JSON.stringify({"format": "csv"}),
muteHttpExceptions: true,
};
var getSurvey = UrlFetchApp.fetch(qUrl, option);
Logger.log(getSurvey)
的值,URL和其他您需要的参数。