Splunk Dev

Splunklib.client: request failed session is not logged in

tmontney
Builder

Edit: I am using the correct token, it's my instance that's wrong. This instance is on my local machine for easy development. My other two servers work fine. I moved my app over to my test server, and it works fine.

Building my own rest handler which accesses storage_passwords. I assume I'm using the wrong token? I don't know the structure of "self" here.

 

import splunk, base64, sys, os, time, json, re, shutil, subprocess, platform, logging, logging.handlers
from splunk.persistconn.application import PersistentServerConnectionApplication
import splunklib.client as client

class req(PersistentServerConnectionApplication):
    def __init__(self, command_line, command_arg):
        PersistentServerConnectionApplication.__init__(self)

    def handle(self, in_string):
        authtoken = json.loads(in_string)["session"]["authtoken"]
        logger.debug(authtoken)
        service = client.connect(token=authtoken)
        storage_passwords = service.storage_passwords

 

 

 

Hardcoding the credentials, I just get "login failed". I'm thinking this is related to my other post https://community.splunk.com/t5/Dashboards-Visualizations/Credentials-not-accepted-for-port-8089/m-p.... Browsing 8089, I also cannot log on with any credential.

Labels (1)
0 Karma
Get Updates on the Splunk Community!

Announcing Scheduled Export GA for Dashboard Studio

We're excited to announce the general availability of Scheduled Export for Dashboard Studio. Starting in ...

Extending Observability Content to Splunk Cloud

Watch Now!   In this Extending Observability Content to Splunk Cloud Tech Talk, you'll see how to leverage ...

More Control Over Your Monitoring Costs with Archived Metrics GA in US-AWS!

What if there was a way you could keep all the metrics data you need while saving on storage costs?This is now ...