POST R 中的请求与 Python

POST requests in R vs. Python

我 运行 POST 在 Python 中请求并且能够使用以下代码解码文本数据:

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,我最终可以将所需的信息转换成数据框。

我需要的是将上面的代码转换成R。我在 R 中编写了以下代码:

 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“R”代码的情况下,我也收到了“成功”通知,但我仍然停留在“如何”提取数据集,就像在 Python 代码“response.text.encode('utf8')”中一样?

因此,问题出在 params 定义中 正确的语法应该是(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
    ]
}'