R vs.Python中的POST请求

时间:2020-08-27 20:18:27

标签: python r post httr

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        1,\r\n        21,\r\n        20\r\n    ],\r\n    \"endDate\": [\r\n        2020,\r\n        6,\r\n        7,\r\n        23,\r\n        21,\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.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,
    1,
    21,
    20
    ],
  "endDate": [
    2020,
    6,
    7,
    23,
    21,
    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?

1 个答案:

答案 0 :(得分:0)

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,
    1,
    21,
    20
    ],
  "endDate": [
    2020,
    6,
    7,
    23,
    21,
    20
    ]
}'
相关问题