snappi-trex is a snappi plugin that allows executing scripts written using snappi with Cisco's TRex Traffic Generator

Related tags

Networkingsnappi-trex
Overview

snappi-trex

license Project Status: Active – The project has reached a stable, usable state and is being actively developed. Build Total alerts Language grade: Python pypi python

snappi-trex is a snappi plugin that allows executing scripts written using snappi with Cisco's TRex Traffic Generator

Design

snappi-trex converts snappi Open Traffic Generator API configuration into the equivalent TRex STL Client configuration. This allows users to use the TRex Traffic Generator and its useful features without having to write complex TRex scripts.

diagram

The above diagram outlines the overall process of how the snappi Open Traffic Generator API is able to interface with TRex and generate traffic over its network interfaces. snappi-trex is essential to convert snappi scripts into the equivalent TRex STL Client instructions.


snappi-trex usage follows the standard usage of snappi with a few modifications outlined in the Usage document.

Demos

Click here for the Quickstart Guide Video Tutorial

  • This goes over the installation and setup for snappi-trex, and how to run a basic snappi script using snappi-trex

Click here for the snappi-trex P4 PTF Demo

  • This demonstrates snappi-trex being used with the P4 Packet Testing Framework in a 4 Port Mesh configuration

Table of Contents


Quickstart

snappi-trex is a snappi plugin that allows executing scripts written using snappi with Cisco's TRex Traffic Generator


--> Click here for the Quickstart Guide Video Tutorial


Installing and Running TRex

TRex must be installed and running before proceeding

TRex must be installed and configured in order to use snappi-trex. For a quick tutorial on TRex installation, running, and basic usage, check out my TRex Tutorial


Installing snappi-trex

Make sure python-pip3 is installed

sudo apt-get install python3-pip

Install snappi and the snappi-trex extension

pip3 install snappi==0.4.26 snappi[trex]

Start Scripting

Let's run our first script called hello_snappi_trex.py: A basic snappi script that transmits 1000 UDP packets bidirectionally between two ports and verifies that they are received. This file can be found at examples/hello_snappi_trex.py in the snappi-trex Github Repo.

git clone https://github.com/open-traffic-generator/snappi-trex
python3 snappi-trex/examples/hello_snappi_trex.py

You may also just paste the script in from below.

hello_snappi_trex.py
p2').flow(name='flow p2->p1') # and assign source and destination ports for each f1.tx_rx.port.tx_name, f1.tx_rx.port.rx_name = p1.name, p2.name f2.tx_rx.port.tx_name, f2.tx_rx.port.rx_name = p2.name, p1.name # configure packet size, rate and duration for both flows f1.size.fixed, f2.size.fixed = 128, 256 for f in cfg.flows: # send 1000 packets and stop f.duration.fixed_packets.packets = 1000 # send 1000 packets per second f.rate.pps = 1000 # configure packet with Ethernet, IPv4 and UDP headers for both flows eth1, ip1, udp1 = f1.packet.ethernet().ipv4().udp() eth2, ip2, udp2 = f2.packet.ethernet().ipv4().udp() # set source and destination MAC addresses eth1.src.value, eth1.dst.value = '00:AA:00:00:04:00', '00:AA:00:00:00:AA' eth2.src.value, eth2.dst.value = '00:AA:00:00:00:AA', '00:AA:00:00:04:00' # set source and destination IPv4 addresses ip1.src.value, ip1.dst.value = '10.0.0.1', '10.0.0.2' ip2.src.value, ip2.dst.value = '10.0.0.2', '10.0.0.1' # set incrementing port numbers as source UDP ports udp1.src_port.increment.start = 5000 udp1.src_port.increment.step = 2 udp1.src_port.increment.count = 10 udp2.src_port.increment.start = 6000 udp2.src_port.increment.step = 4 udp2.src_port.increment.count = 10 # assign list of port numbers as destination UDP ports udp1.dst_port.values = [4000, 4044, 4060, 4074] udp2.dst_port.values = [8000, 8044, 8060, 8074, 8082, 8084] print('Pushing traffic configuration ...') api.set_config(cfg) print('Starting packet capture on all configured ports ...') cs = api.capture_state() cs.state = cs.START api.set_capture_state(cs) print('Starting transmit on all configured flows ...') ts = api.transmit_state() ts.state = ts.START api.set_transmit_state(ts) print('Checking metrics on all configured ports ...') print('Expected\tTotal Tx\tTotal Rx') assert wait_for(lambda: metrics_ok(api, cfg)), 'Metrics validation failed!' assert captures_ok(api, cfg), 'Capture validation failed!' print('Test passed !') def metrics_ok(api, cfg): # create a port metrics request and filter based on port names req = api.metrics_request() req.port.port_names = [p.name for p in cfg.ports] # include only sent and received packet counts req.port.column_names = [req.port.FRAMES_TX, req.port.FRAMES_RX] # fetch port metrics res = api.get_metrics(req) # calculate total frames sent and received across all configured ports total_tx = sum([m.frames_tx for m in res.port_metrics]) total_rx = sum([m.frames_rx for m in res.port_metrics]) expected = sum([f.duration.fixed_packets.packets for f in cfg.flows]) print('%d\t\t%d\t\t%d' % (expected, total_tx, total_rx)) return expected == total_tx and total_rx >= expected def captures_ok(api, cfg): import dpkt print('Checking captured packets on all configured ports ...') print('Port Name\tExpected\tUDP packets') result = [] for p in cfg.ports: exp, act = 1000, 0 # create capture request and filter based on port name req = api.capture_request() req.port_name = p.name # fetch captured pcap bytes and feed it to pcap parser dpkt pcap = dpkt.pcap.Reader(api.get_capture(req)) for _, buf in pcap: # check if current packet is a valid UDP packet eth = dpkt.ethernet.Ethernet(buf) if isinstance(eth.data.data, dpkt.udp.UDP): act += 1 print('%s\t\t%d\t\t%d' % (p.name, exp, act)) result.append(exp == act) return all(result) def wait_for(func, timeout=10, interval=0.2): """ Keeps calling the `func` until it returns true or `timeout` occurs every `interval` seconds. """ import time start = time.time() while time.time() - start <= timeout: if func(): return True time.sleep(interval) print('Timeout occurred !') return False if __name__ == '__main__': hello_snappi_trex() ">
import snappi
import sys, os

# Replace v2.90 with the installed version of TRex. 
# Change '/opt/trex' if you installed TRex in another location
trex_path = '/opt/trex/v2.90/automation/trex_control_plane/interactive'
sys.path.insert(0, os.path.abspath(trex_path))


def hello_snappi_trex():
    """
    This script does following:
    - Send 1000 packets back and forth between the two ports at a rate of
      1000 packets per second.
    - Validate that total packets sent and received on both interfaces is as
      expected using port metrics.
    - Validate that captured UDP packets on both the ports are as expected.
    """
    # create a new API instance where host points to controller
    api = snappi.api(ext='trex')
    # and an empty traffic configuration to be pushed to controller later on
    cfg = api.config()

    # add two ports where location points to traffic-engine (aka ports)
    p1, p2 = (
        cfg.ports
        .port(name='p1')
        .port(name='p2')
    )

    # add layer 1 property to configure same speed on both ports
    ly = cfg.layer1.layer1(name='ly')[-1]
    ly.port_names = [p1.name, p2.name]
    ly.speed = ly.SPEED_1_GBPS

    # enable packet capture on both ports
    cp = cfg.captures.capture(name='cp')[-1]
    cp.port_names = [p1.name, p2.name]

    # add two traffic flows
    f1, f2 = cfg.flows.flow(name='flow p1->p2').flow(name='flow p2->p1')
    # and assign source and destination ports for each
    f1.tx_rx.port.tx_name, f1.tx_rx.port.rx_name = p1.name, p2.name
    f2.tx_rx.port.tx_name, f2.tx_rx.port.rx_name = p2.name, p1.name

    # configure packet size, rate and duration for both flows
    f1.size.fixed, f2.size.fixed = 128, 256
    for f in cfg.flows:
        # send 1000 packets and stop
        f.duration.fixed_packets.packets = 1000
        # send 1000 packets per second
        f.rate.pps = 1000

    # configure packet with Ethernet, IPv4 and UDP headers for both flows
    eth1, ip1, udp1 = f1.packet.ethernet().ipv4().udp()
    eth2, ip2, udp2 = f2.packet.ethernet().ipv4().udp()

    # set source and destination MAC addresses
    eth1.src.value, eth1.dst.value = '00:AA:00:00:04:00', '00:AA:00:00:00:AA'
    eth2.src.value, eth2.dst.value = '00:AA:00:00:00:AA', '00:AA:00:00:04:00'

    # set source and destination IPv4 addresses
    ip1.src.value, ip1.dst.value = '10.0.0.1', '10.0.0.2'
    ip2.src.value, ip2.dst.value = '10.0.0.2', '10.0.0.1'

    # set incrementing port numbers as source UDP ports
    udp1.src_port.increment.start = 5000
    udp1.src_port.increment.step = 2
    udp1.src_port.increment.count = 10

    udp2.src_port.increment.start = 6000
    udp2.src_port.increment.step = 4
    udp2.src_port.increment.count = 10

    # assign list of port numbers as destination UDP ports
    udp1.dst_port.values = [4000, 4044, 4060, 4074]
    udp2.dst_port.values = [8000, 8044, 8060, 8074, 8082, 8084]

    print('Pushing traffic configuration ...')
    api.set_config(cfg)

    print('Starting packet capture on all configured ports ...')
    cs = api.capture_state()
    cs.state = cs.START
    api.set_capture_state(cs)

    print('Starting transmit on all configured flows ...')
    ts = api.transmit_state()
    ts.state = ts.START
    api.set_transmit_state(ts)

    print('Checking metrics on all configured ports ...')
    print('Expected\tTotal Tx\tTotal Rx')
    assert wait_for(lambda: metrics_ok(api, cfg)), 'Metrics validation failed!'

    assert captures_ok(api, cfg), 'Capture validation failed!'

    print('Test passed !')


def metrics_ok(api, cfg):
    # create a port metrics request and filter based on port names
    req = api.metrics_request()
    req.port.port_names = [p.name for p in cfg.ports]
    # include only sent and received packet counts
    req.port.column_names = [req.port.FRAMES_TX, req.port.FRAMES_RX]

    # fetch port metrics
    res = api.get_metrics(req)
    # calculate total frames sent and received across all configured ports
    total_tx = sum([m.frames_tx for m in res.port_metrics])
    total_rx = sum([m.frames_rx for m in res.port_metrics])
    expected = sum([f.duration.fixed_packets.packets for f in cfg.flows])

    print('%d\t\t%d\t\t%d' % (expected, total_tx, total_rx))

    return expected == total_tx and total_rx >= expected


def captures_ok(api, cfg):
    import dpkt
    print('Checking captured packets on all configured ports ...')
    print('Port Name\tExpected\tUDP packets')

    result = []
    for p in cfg.ports:
        exp, act = 1000, 0
        # create capture request and filter based on port name
        req = api.capture_request()
        req.port_name = p.name
        # fetch captured pcap bytes and feed it to pcap parser dpkt
        pcap = dpkt.pcap.Reader(api.get_capture(req))
        for _, buf in pcap:
            # check if current packet is a valid UDP packet
            eth = dpkt.ethernet.Ethernet(buf)
            if isinstance(eth.data.data, dpkt.udp.UDP):
                act += 1

        print('%s\t\t%d\t\t%d' % (p.name, exp, act))
        result.append(exp == act)

    return all(result)


def wait_for(func, timeout=10, interval=0.2):
    """
    Keeps calling the `func` until it returns true or `timeout` occurs
    every `interval` seconds.
    """
    import time
    start = time.time()

    while time.time() - start <= timeout:
        if func():
            return True
        time.sleep(interval)

    print('Timeout occurred !')
    return False


if __name__ == '__main__':
    hello_snappi_trex()


Output

If everything is working correctly, you should see a similar output as this.

Pushing traffic configuration ...
Starting packet capture on all configured ports ...
Starting transmit on all configured flows ...
Checking metrics on all configured ports ...
Expected        Total Tx        Total Rx
2000            19              17
2000            445             437
2000            881             881
2000            1325            1325
2000            1761            1761
2000           2000            2000
Checking captured packets on all configured ports ...
Port Name       Expected        UDP packets
p1              1000            1000
p2              1000            1000
Test passed !
You might also like...
These scripts send notifications to a Webex space when a new IP is banned by Expressway, and allow to request more info or change the ban status
These scripts send notifications to a Webex space when a new IP is banned by Expressway, and allow to request more info or change the ban status

Spam Call and Toll Fraud Mitigation Cisco Expressway release X14 is able to mitigate spam calls and toll fraud attempts by jailing the spam IP address

A repository dedicated to IoT(internet of things ) and python scripts
A repository dedicated to IoT(internet of things ) and python scripts

📑 Introduction Week of Learning is a weekly program in which you will get all the necessary knowledge about Circuit-Building, Arduino and Micro-Contr

Repo used to maintain all notes and scripts developed during my DevNet Expert studies

DevNet Expert Studies Exam Date: TBD (Waiting for registration to open) This repository will be used to track my progress and maintain all notes/scrip

 Python Scripts for Cisco Identity Services Engine (ISE)
Python Scripts for Cisco Identity Services Engine (ISE)

A set of Python scripts to configure a freshly installed Cisco Identity Services Engine (ISE) for simple operation; in my case, a basic Cisco Software-Defined Access environment.

DataShare - Simple library for data sharing between scripts and public functions calling

DataShare - Simple library for data sharing between scripts and public functions calling. Installation. Install code, Delete LICENSE, README, readme.t

Python Scrcpy Client - allows you to view and control android device in realtime
Python Scrcpy Client - allows you to view and control android device in realtime

Python Scrcpy Client This package allows you to view and control android device in realtime. Note: This gif is compressed and experience lower quality

InfraGenie is allows you to split out your infrastructure project into separate independent pieces, each with its own terraform state.
InfraGenie is allows you to split out your infrastructure project into separate independent pieces, each with its own terraform state.

🧞 InfraGenie InfraGenie is allows you to split out your infrastructure project into separate independent pieces, each with its own terraform state. T

A simple and lightweight server that allows clients to connect and launch a shell remotely through a browser.

carrotsh A simple and lightweight server that allows clients to connect and launch a shell remotely through a browser. Uses xterm.js for the frontend

A web-based app that allows easy, simple - and if desired high-throughput - analysis of qPCR data
A web-based app that allows easy, simple - and if desired high-throughput - analysis of qPCR data

qpcr-Analyser A web-based GUI for the qpcr package that allows easy, simple and high-throughput analysis of qPCR data. As is described in more detail

Owner
Open Traffic Generator
Open Traffic Generator
A simple multi-threaded time server and client in python.

time-server-client A simple multi-threaded time server and client in Python. This uses the latest match/case command found in Python 3.10 so requires

Zeeshan Mulk 1 Jan 29, 2022
Multiple-requests-poster - A tool to send multiple requests to a particular website written in Python

Multiple-requests-poster - A tool to send multiple requests to a particular website written in Python

RLX 2 Feb 14, 2022
Geowifi 📡 💘 🌎 Search WiFi geolocation data by BSSID and SSID on different public databases.

Geowifi 📡 💘 🌎 Search WiFi geolocation data by BSSID and SSID on different public databases.

GOΠZO 441 Dec 23, 2022
A simple framwork to streamline the Domain Adaptation training process.

FastDA Introduction This is a simple framework for domain adaptation training. You can use it to build your own training process. It heavily relies on

Vincent Zhang 7 Nov 22, 2022
FramIp - it a framework for work at IP and domain

FramIp FramIp - it a framework for work with IP and domain Installation (termux) $ pkg install git && pkg install python && git clone https://github.c

1 Jan 28, 2022
IPV4 network calculation project in Python

Curso de Python 3 do Básico ao Avançado Desafio: Calculando redes IPV4 Criar um programa que obtem um numero de IP com o prefixo da mascara de rede. O

Diego Guedes 3 Jan 21, 2022
Ping IP addresses and domains in parallel to find the accessible and inaccessible ones.

🚀 IPpy Parallel testing of IP addresses and domains in python. Reads IP addresses and domains from a CSV file and gives two lists of accessible and i

Shivam Mathur 54 May 21, 2022
Python tutorial for implementing Oxylabs' Residential Proxies with AIOHTTP

Integrating Oxylabs' Residential Proxies with AIOHTTP Requirements for the Integration For the integration to work you'll need to install aiohttp libr

Oxylabs.io 6 Sep 14, 2022
Dark Utilities - Cloudflare Uam Bypass

Dark Utilities - Cloudflare Uam Bypass

Inplex-sys 26 Dec 14, 2022
BlueHawk is an HTTP/1.1 compliant web server developed in python

This project is done as a part of Computer Networks course. It aims at the implementation of the HTTP/1.1 Protocol based on RFC 2616 and includes the basic HTTP methods of GET, POST, PUT, DELETE and

2 Nov 11, 2022
It's an extra broadcast driver for masonite. It adds support for socketio.

It's an extra broadcast driver for masonite. It adds support for socketio.

Yubaraj Shrestha 6 Feb 23, 2022
A simple Tor switcher script switches tor nodes in interval of time

Tor_Switcher A simple Tor switcher script switches tor nodes in interval of time This script will switch tor nodes in every interval of time that you

d4rk sh4d0w 2 Nov 15, 2021
a safe proxy over tls

TlsProxys 基于TLS协议的http流量代理 安装 ※ 需要python3.7+ linux: python3.9 -m pip install TlsProxys windows: pip install TlsProxys 基本用法 服务器端: $ tpserver [command]

56 Nov 30, 2022
This is an open project to maintain a list of domain names that serve YouTube ads

The YouTube ads blocklist project This is an open project to maintain a list of domain names that serve YouTube ads. The original project only produce

Evan Pratten 574 Dec 30, 2022
GlokyPortScannar is a really fast tool to scan TCP ports implemented in Python.

GlokyPortScannar is a really fast tool to scan TCP ports implemented in Python. Installation: This program requires Python 3.9. Linux

gl0ky 5 Jun 25, 2022
Share clipboards between two devices in a network

Shared Clipboard I felt the need for sharing clipboard texts between virtual machines but I didn't find any reliable solutions for this (I use HyperV)

Teja Swaroop 9 Jun 10, 2022
Docker container for demoing Wi-Fi calling stack.

VoWiFiLocalDemo - Docker container that runs StrongSwan and Kamailio to demonstrate how Wi-Fi calling works on smartphones.

18 Nov 12, 2022
This script will make it easier to connect to any wireguard vpn config

wireguard-linux-python-script-vpn This script will make it easier to connect to any wireguard vpn config also u will need your wireguard vpn from your

Jimo 1 Sep 21, 2022
EchoDNS - Analyze your DNS traffic super easy, shows all requested DNS traffic

EchoDNS - Analyze your DNS traffic super easy, shows all requested DNS traffic

Oli Zimmermann 1 Jan 11, 2022
TicTacToe using Socket Server

TicTacToe using Socket Server This is a project for the class : 18CSC302J - Computer Networks by Dr. S.Babu Contributors Suvodeep Sinha RA191100301010

Suvodeep Sinha 12 Nov 30, 2022