Alerting

How to create a python script that generates an alert if the number of events returned from a search is 0?

Federica_92
Communicator

Hi,

I'm new to splunk sdk so, forgive me if my question is obvious.
I'm trying to create a python script that runs a search job every minutes and give an alert if the number of events is 0.

I'm starting with the connection:

import splunklib.client as client

HOST = "localhost"
PORT = 8089
USERNAME = "admin"
PASSWORD = "changeme"

//Create a Service instance and log in 
service = client.connect(
    host=HOST,
    port=PORT,
    username=USERNAME,
    password=PASSWORD)

myquery = "*"
mysearchname = "hello"

//Check if this already exist
//mysavedsearch = service.saved_searches.create(mysearchname, myquery)
mysavedsearch = service.saved_searches["hello"]

kwargs = {"description": "This is a test search",
        "is_scheduled": True,
        "cron_schedule": "*/5 * * * *  ",}

mysavedsearch.update(**kwargs).refresh()

print "Description:         ", mysavedsearch["description"]
print "Is scheduled:        ", mysavedsearch["is_scheduled"]
print "Cron schedule:       ", mysavedsearch["cron_schedule"]
print "Next scheduled time: ", mysavedsearch["next_scheduled_time"]

Ok but how do I set the parameters of the alert?
Could someone confirm if this is correct?

Thank you in advance

0 Karma
1 Solution

Federica_92
Communicator

In the end, this is my code and work

import splunklib.client as client


HOST = "localhost"
PORT = 8089
USERNAME = "admin"
PASSWORD = "changeme"

# Create a Service instance and log in 
service = client.connect(
    host=HOST,
    port=PORT,
    username=USERNAME,
    password=PASSWORD)

# Variables
myquery = "index=main | transaction dc(host) by host"
mysearchname = "h1"
a=0

# Create the search
savedsearches = service.saved_searches
for savedsearch in savedsearches:
    if (savedsearch.name=="h1"): a=1
if a==0: mysavedsearch = service.saved_searches.create(mysearchname, myquery)

# Edit the search
mysavedsearch = service.saved_searches["h1"]
kwargs = {"description": "This is a search",
        "is_scheduled": True,
        "cron_schedule": "*/1 * * * *  ",
    "alert.track":1,
    "alert_comparator":"greater than",
    "alert_type":"number of events",
    "alert_threshold":0,
    "alert.severity":5,
        }

mysavedsearch.update(**kwargs).refresh()

print "Description:         ", mysavedsearch["description"]
print "Is scheduled:        ", mysavedsearch["is_scheduled"]
print "Cron schedule:       ", mysavedsearch["cron_schedule"]
print "Next scheduled time: ", mysavedsearch["next_scheduled_time"]
print "Alert track      ", mysavedsearch["alert.track"]

View solution in original post

k_harini
Communicator

How are you calling this script? Is it through scripted input? I have similar requirement. Please help.

0 Karma

Federica_92
Communicator

In the end, this is my code and work

import splunklib.client as client


HOST = "localhost"
PORT = 8089
USERNAME = "admin"
PASSWORD = "changeme"

# Create a Service instance and log in 
service = client.connect(
    host=HOST,
    port=PORT,
    username=USERNAME,
    password=PASSWORD)

# Variables
myquery = "index=main | transaction dc(host) by host"
mysearchname = "h1"
a=0

# Create the search
savedsearches = service.saved_searches
for savedsearch in savedsearches:
    if (savedsearch.name=="h1"): a=1
if a==0: mysavedsearch = service.saved_searches.create(mysearchname, myquery)

# Edit the search
mysavedsearch = service.saved_searches["h1"]
kwargs = {"description": "This is a search",
        "is_scheduled": True,
        "cron_schedule": "*/1 * * * *  ",
    "alert.track":1,
    "alert_comparator":"greater than",
    "alert_type":"number of events",
    "alert_threshold":0,
    "alert.severity":5,
        }

mysavedsearch.update(**kwargs).refresh()

print "Description:         ", mysavedsearch["description"]
print "Is scheduled:        ", mysavedsearch["is_scheduled"]
print "Cron schedule:       ", mysavedsearch["cron_schedule"]
print "Next scheduled time: ", mysavedsearch["next_scheduled_time"]
print "Alert track      ", mysavedsearch["alert.track"]
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Persistent Queue at TcpOut — One of Splunk's Most Practical Features

Splunk introduced persistent queueing at the tcpout layer as one of the most practical resilience features in ...

Catalog Is Now Generally Available on Splunk Cloud Platform

A Unified View of Your Data  Security logs, application events, business data, and historical telemetry often ...

Your Path to AgenticOps: AI Experiences for Every Splunk Practitioner

Your Path to AgenticOps: AI Experiences for Every Splunk Practitioner   Watch on demand us for a demo-driven ...