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import pandas as pd
import numpy as np
import itertool
from nltk import word_tokenize
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import MultinomialNB

df = pd.read_csv('my_data_with_text.csv')
df.columns #id, text, category

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---
#
# Setting up the Icinga2 PKI is derived from https://monitoring-portal.org/index.php?thread/35989-using-ansible-to-generate-the-icinga-client-certificates/
#
- hosts: MASTERFQDN
  tasks:
   - name: generate ticket on the icinga master and save it as a variable
     shell: /usr/sbin/icinga2 pki ticket --cn {{ hostitem }}
     register: ticket
- hosts: "{{ hostitem }}"

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# Kernel sysctl configuration file for Red Hat Linux
#
# For binary values, 0 is disabled, 1 is enabled.  See sysctl(8) and
# sysctl.conf(5) for more details.

# Controls source route verification
net.ipv4.conf.default.rp_filter = 1

# Do not accept source routing
net.ipv4.conf.default.accept_source_route = 0

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.filter('timeago', function () {

    /*
     * time: the time
     * local: compared to what time? default: now
     * raw: wheter you want in a format of "5 minutes ago", or "5 minutes"
     */

    // parse string date to milliseconds
    // Note: months are 0-based