aksinghdce

import groovy.text.GStringTemplateEngine

def engine = new GStringTemplateEngine()

def pool = ['a'..'z','A'..'Z',0..9,'_'].flatten()
Random rand = new Random(System.currentTimeMillis())

def orderidChars = (0..10).collect { pool[rand.nextInt(pool.size())] }
def order_id = orderidChars.join()
vars.put("order_id", "T_"+order_id)

aksinghdce

/*
Problem Statement:

Based on variable URL patterns extract parameters into Jmeter variables for use by Samplers that would execute later on.
*/

// Get the input data populated
//Type 1: ${host}/api/c/<unified-id>/_/N-<nvalue>
//Type 2: ${host}/api/c/<unified-id>/_/N-<nvalue>
//Type 3: ${host}/api/c/<unified-id>/_/N-<nvalue>?Ns=<sortParam> {The code for this one is not present

aksinghdce

columns = [("term", "word"), ("term", "phrase"), ("context", "academic"), ("context", "non-academic"), ("meaning", "short"), ("meaning", "long")]
df = pd.DataFrame(columns=columns)
df.columns = pd.MultiIndex.from_tuples(columns)

# To set values

df.loc[0, ("term", "word")] = "condescension"

aksinghdce

df[df['A'].str.contains("hello")]

aksinghdce

from elasticsearch import Elasticsearch
from elasticsearch import helpers
import json

# Define config
port = 9200
timeout = 5000
index = "jmeter"
doc_type = "type"
size = 10000

aksinghdce

# Works in a linux environment
ps -ef | grep -i jupyter | awk '{print $2}' | xargs kill -9

aksinghdce

import requests
import json
import numpy as np
import pandas as pd

url = 'http://<ElasticSearch_IP_Address>:9200/_sql?format=csv'
headers = {
   'Content-Type': 'application/json',
}
query = {

aksinghdce

grep -E -o ".{0,10}pattern.{0,10}" content.txt

aksinghdce

du -h * | awk '{print $1 "   " $2}' | grep -E "[0-9]+[.]?[0-9]*M"

aksinghdce

git add `git status | grep "modified:" | awk '{print $2}'`