R vs.Python中的POST请求

如何解决R vs.Python中的POST请求

我在Python中运行了POST请求，并能够通过使用以下代码来解码文本数据：

import requests
import pandas as pd
import json
import numpy as np

url = "SomeURL"

payload = "{\r\n    \"tagCsv\": \"LU_HIST_SVR.CPR01_BPTransSlope,LU_HIST_SVR.CPLEM_PTransSlope,LU_HIST_SVR.C875_5_DPTTransSlope,LU_HIST_SVR.C919_6_DPTTransSlope\",\r\n    \"interval\": 2.88,\r\n    \"frequency\": \"mi\",\r\n    \"samplingMethod\": \"last\",\r\n    \"quality\": \"GOOD*\",\r\n \r\n    \"startDate\": [\r\n        2020,\r\n        6,\r\n        1,\r\n        21,\r\n        20\r\n    ],\r\n    \"endDate\": [\r\n        2020,\r\n        7,\r\n        23,\r\n        20\r\n    ]\r\n}\r\n"
headers = {
  'Content-Type': 'application/json','Authorization': 'Bearer token code...'
}

response = requests.request("POST",url,headers=headers,data = payload)
test_string = response.text.encode('utf8')

上面的代码工作正常，我可以看到结果，最终可以将所需的信息转换为数据框。

我需要的是将以上代码转换为R。我在R中将以下代码编写为：

 library(httr)
library(jsonlite)
library(data.table)

url <- "SomeURL"
params <- list()
params$variables <-  '[{
  "tagCsv": "LU_HIST_SVR.CPR01_BPTransSlope,LU_HIST_SVR.C919_6_DPTTransSlope","interval": 2.88,"frequency": "mi","samplingMethod": "last","quality": "GOOD*","startDate": [
    2020,6,1,21,20
    ],"endDate": [
    2020,7,23,20
    ]
}]'
  
headers = c('Content-Type'="application/json",'Authorization'= "Bearer token code")
r_POST <- httr::POST(url,body = params,add_headers(headers),encode = "json",verbose())
r_POST
http_status(r_POST)

在使用“ R”代码的情况下，我也收到了“成功”通知，但是我像在Python代码“ response.text.encode('utf8')”中一样，仍然坚持“如何”提取数据集？

解决方法

因此，问题出在params定义中 正确的语法应该是（请注意，我不需要$variables）

params <- list()
params <-  '{
  "tagCsv": "LU_HIST_SVR.CPR01_BPTransSlope,LU_HIST_SVR.CPLEM_PTransSlope,LU_HIST_SVR.C875_5_DPTTransSlope,LU_HIST_SVR.C919_6_DPTTransSlope","interval": 2.88,"frequency": "mi","samplingMethod": "last","quality": "GOOD*","startDate": [
    2020,6,1,21,20
    ],"endDate": [
    2020,7,23,20
    ]
}'