JSNAPY example: Validate NAT policies

Overview

JSNAPY example: Validate NAT policies

N|Solid

Overview

This example will show how to use JSNAPy to make sure the expected NAT policy matches are taking place.

In addition to the Ansible playbok, this project also ships with additional tools to help you along your way. You will find a Dockerfile for running the project in an isolated environment, and an Invoke tasks file for those of us that hate typing out everything all the time.

⚙️ How it works

The data is collected from the firewalls by issuing NETCONF RPCs to retrieve the data as XML, to which Ansible will automatically translate into a dictionary for us.

There are two filter plugins for this project, which will help us transform the data and perform basic logic operations in Python.

Let's take a second to review the documentation in the files/docs/ directory.

Name Description
Ansible Playbook Validate NAT policies with JSNAPy
Inventory file Inventory

📝 Dependencies

Refer to the Poetry Lock file located at poetry.lock for detailed descriptions on each package installed.

🚀 Executing the playbook

This project provides two unique methods of executing the playbook:

Executing with Docker | Execute with Docker

Executing with Python | Execute with Python

Note for Ansible Tower / AWX users

You'll note that there is an ansible.cfg file found in the root of the project's directory, the only purpose this serves is for Ansible Tower / AWX, which will look for these files when the project syncs from Gitlab/Github/Whatever, and Tower will auto-install the packages.

The ansible.cfg file will be the definitive for each Playbook (Template) execution, so super important to keep it here.

Owner
Calvin Remsburg
Calvin Remsburg
A small timeseries transformation API built on Flask and Pandas

#Mcflyin ###A timeseries transformation API built on Pandas and Flask This is a small demo of an API to do timeseries transformations built on Flask a

Rob Story 84 Mar 25, 2022
A minimal Python package that produces slice plots through h5m DAGMC geometry files

A minimal Python package that produces slice plots through h5m DAGMC geometry files Installation pip install dagmc_geometry_slice_plotter Python API U

Fusion Energy 4 Dec 02, 2022
Python library that makes it easy for data scientists to create charts.

Chartify Chartify is a Python library that makes it easy for data scientists to create charts. Why use Chartify? Consistent input data format: Spend l

Spotify 3.2k Jan 04, 2023
BGraph is a tool designed to generate dependencies graphs from Android.bp soong files.

BGraph BGraph is a tool designed to generate dependencies graphs from Android.bp soong files. Overview BGraph (for Build-Graphs) is a project aimed at

Quarkslab 10 Dec 19, 2022
basemap - Plot on map projections (with coastlines and political boundaries) using matplotlib.

Basemap Plot on map projections (with coastlines and political boundaries) using matplotlib. ⚠️ Warning: this package is being deprecated in favour of

Matplotlib Developers 706 Dec 28, 2022
Project coded in Python using Pandas to look at changes in chase% for batters facing a pitcher first time through the order vs. thrid time

Project coded in Python using Pandas to look at changes in chase% for batters facing a pitcher first time through the order vs. thrid time

Jason Kraynak 1 Jan 07, 2022
Create animated and pretty Pandas Dataframe or Pandas Series

Rich DataFrame Create animated and pretty Pandas Dataframe or Pandas Series, as shown below: Installation pip install rich-dataframe Usage Minimal exa

Khuyen Tran 92 Dec 26, 2022
Practical-statistics-for-data-scientists - Code repository for O'Reilly book

Code repository Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck Pub

1.7k Jan 04, 2023
Learn Data Science with focus on adding value with the most efficient tech stack.

DataScienceWithPython Get started with Data Science with Python An engaging journey to become a Data Scientist with Python TL;DR Download all Jupyter

Learn Python with Rune 110 Dec 22, 2022
China and India Population and GDP Visualization

China and India Population and GDP Visualization Historical Population Comparison between India and China This graph shows the population data of Indi

Nicolas De Mello 10 Oct 27, 2021
Type-safe YAML parser and validator.

StrictYAML StrictYAML is a type-safe YAML parser that parses and validates a restricted subset of the YAML specification. Priorities: Beautiful API Re

Colm O'Connor 1.2k Jan 04, 2023
A set of useful perceptually uniform colormaps for plotting scientific data

Colorcet: Collection of perceptually uniform colormaps Build Status Coverage Latest dev release Latest release Docs What is it? Colorcet is a collecti

HoloViz 590 Dec 31, 2022
Generate graphs with NetworkX, natively visualize with D3.js and pywebview

webview_d3 This is some PoC code to render graphs created with NetworkX natively using D3.js and pywebview. The main benifit of this approac

byt3bl33d3r 68 Aug 18, 2022
python partial dependence plot toolbox

PDPbox python partial dependence plot toolbox Motivation This repository is inspired by ICEbox. The goal is to visualize the impact of certain feature

Li Jiangchun 723 Jan 07, 2023
Generate visualizations of GitHub user and repository statistics using GitHub Actions.

GitHub Stats Visualization Generate visualizations of GitHub user and repository statistics using GitHub Actions. This project is currently a work-in-

JoelImgu 3 Dec 14, 2022
Certificate generating and sending system written in Python.

Certificate Generator & Sender How to use git clone https://github.com/saadhaxxan/Certificate-Generator-Sender.git cd Certificate-Generator-Sender Add

Saad Hassan 11 Dec 01, 2022
Declarative statistical visualization library for Python

Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa

Altair 8k Jan 05, 2023
Missing data visualization module for Python.

missingno Messy datasets? Missing values? missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities tha

Aleksey Bilogur 3.4k Dec 29, 2022
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow with breakpoints + real-time visualization of the data flowing through the computational graph

TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow (Google's Deep Learning framework) with breakpoints + real-time visualization of the data flowing through the comput

Eric Jang 1.4k Dec 15, 2022
Learning Convolutional Neural Networks with Interactive Visualization.

CNN Explainer An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs) For more information,

Polo Club of Data Science 6.3k Jan 01, 2023