R与Python中的POST请求
我用Python运行了一个POST请求,并能够使用以下代码解码文本数据:R与Python中的POST请求,python,r,post,httr,Python,R,Post,Httr,我用Python运行了一个POST请求,并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_
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')
上面的代码运行良好,我可以看到结果,最终可以将所需的信息转换为数据帧
我需要的是将上述代码转换为R
。我用R编写了以下代码:
library(httr)
library(jsonlite)
library(data.table)
url <- "SomeURL"
params <- list()
params$variables <- '[{
"tagCsv": "LU_HIST_SVR.CPR01_BPTransSlope,LU_HIST_SVR.CPLEM_PTransSlope,LU_HIST_SVR.C875_5_DPTTransSlope,LU_HIST_SVR.C919_6_DPTTransSlope",
"interval": 2.88,
"frequency": "mi",
"samplingMethod": "last",
"quality": "GOOD*",
"startDate": [
2020,
6,
1,
1,
21,
20
],
"endDate": [
2020,
6,
7,
23,
21,
20
]
}]'
headers = c('Content-Type'="application/json",'Authorization'= "Bearer token code")
r_POST <- httr::POST(url,body = params, add_headers(headers), encode = "json",verbose())
r_POST
http_status(r_POST)
库(httr)
图书馆(jsonlite)
库(数据表)
url因此,问题出在params
定义中
正确的语法应该是(注意我不需要$variables
)
params R不像Python那样有点符号。您的Python似乎在说,将编码为文本的响应作为UTF-8。您是否尝试过查看对象r\u POST
并查看其结构?R通常默认为UTF-8,因此您可以尝试R\u POST$response
,或者如果数据是原始的,您可以尝试fromJSON(rawToChar(R\u POST$response$content))
。但是我们需要查看r\u POST对象的结构才能确定。请尝试content(r\u POST,as=“text”,encoding=“UTF-8”)
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
]
}'