Python: .json 数据来自 splunk

Question

以下问题：对于我的大学项目，我将 json 文件上传到 splunk，现在我想在 python 中将其用作 dataframe2668CFDE63911DCB49.

代码：

import urllib3
import requests
import json
import pandas as pd

urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)


server = 'localhost'
port = 8089
username = 'testuid'
password = 'testpw'
url='https://'+ server +':' + str(port)
param = {'shortname', 'permissionId'}

search='?search=search source%3D%22events.json%22%20host%3D%22DESKTOP-9QDQ0FT%22%20index%3D%22projektseminar%22%20sourcetype%3D%22_json%22%20%7Chead%2020%20%7Ctable%20shortname%20permissionId'

output_type =  '&output_mode=json'
search_url = url + '/servicesNS/nobody/search/search/jobs/export' + search + output_type

r = requests.get(search_url, auth=(username, password), verify=False)

到目前为止，效果很好。 现在我想要这个特定的“r”响应 object 作为 dataframe object 与 2 列“shortname”和“permissionId”。 我有几个问题。 首先，我从 Rest API 获得的 json 带有“预览”、“偏移”和“结果”列。 我想要一个带有“shortname”和“permissionId”列的 dataframe。 问题是我不能使用json.load(r)或r.json()或类似的东西，总是出现“额外数据”错误。 So I'm a beginner with splunk and python so maybe there is a better way to do so... Another idea I didn't tried yet is to use a csv output instead of json. 如果你们对如何解决这个问题有一些建议，那就太好了。

谢谢

Answer 1

实现此目的的最佳方法是使用 Splunk API for Python

您可以在此处找到 SDK： https://github.com/splunk/splunk-sdk-python

import sys
import os
from time import sleep
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "splunk-sdk-python-1.6.13"))

import splunklib.client as client
import splunklib.results as results

import pandas as pd

# Note my port, username, and password are specific to my instance. The default port is 8089

service = client.connect(host='localhost', port=MY_PORT,
                   username='MY_USER', password='MY_PASS')

search = """search index=_internal sourcetype="splunkd_access" |table *"""

job = service.jobs.create(search)
while True:
    while not job.is_ready():
        pass
    if job['isDone'] == '1':
        break
    sleep(2)


reader = results.ResultsReader(job.results())


df = pd.DataFrame(reader)
print(df)