metasyn

metasyn

#!/usr/bin/env python
# Xander Johnson @metasyn

import sys
import exec_anaconda
try:
    exec_anaconda.exec_anaconda()
except Exception as e:
    import cexc
    cexc.abort(e)

metasyn

metasyn

metasyn

import splunk.Intersplunk 
import exec_anaconda
try:
    exec_anaconda.exec_anaconda()
except Exception as e:
    import cexc
    cexc.abort(e)
    sys.exit(1)

import sys

metasyn

import exec_anaconda
try:
    exec_anaconda.exec_anaconda()
except Exception as e:
    import cexc
    cexc.abort(e)
    sys.exit(1)

# Import this to get our "chunked" handler
from cexc import BaseChunkHandler

metasyn

requirements

WORK IN PROGRESS

1.) Python for Scientific Computing App

2.) Splunk ML Toolkit >=1.0

metasyn

metasyn

demo@ip-10-0-0-200:/opt/splunk/bin$ ./splunk btool inputs list http --debug
/opt/splunk/etc/apps/splunk_httpinput/local/inputs.conf   [http]
/opt/splunk/etc/apps/splunk_httpinput/default/inputs.conf dedicatedIoThreads = 2
/opt/splunk/etc/apps/splunk_httpinput/local/inputs.conf   disabled = 0
/opt/splunk/etc/apps/splunk_httpinput/default/inputs.conf enableSSL = 1
host = splunk00
index = default
/opt/splunk/etc/apps/splunk_httpinput/default/inputs.conf maxSockets = 0
/opt/splunk/etc/apps/splunk_httpinput/default/inputs.conf maxThreads = 0
/opt/splunk/etc/apps/splunk_httpinput/default/inputs.conf port = 8088

metasyn

#!/usr/bin/env python

import sys

from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import LatentDirichletAllocation

import pandas as pd
import numpy as np