Learn Jekyll, Jq and Mocha

Jekyll is a blog-aware static site generator. You can write text in markdown or HTML and Jekyll uses layouts to create a static website. You can tweak how you want the site URLs to look, what data gets displayed on the site, and more.

After watching the collection you'll be able to:

* Install Jeykll and run it locally
* Create a new blog post
* Install plugins to add new features to your blog

Jekyll is a parsing engine bundled as a ruby gem used to build static websites from dynamic components such as templates, partials, liquid code, markdown, etc. Jekyll is known as "a simple, blog aware, static site generator".

jekyll

Create A Blog With Jekyll

Chai is a BDD / TDD assertion library for node and the browser that can be delightfully paired with any javascript testing framework.

chai

Every dependable library needs to have tests to ensure that you don't push accidental bugs. In this lesson, see how you can set up mocha and chai to start testing your library.

Setting up Unit Testing with Mocha and Chai

Now that you've got everything set up with mocha and chai, it's time to actually write tests. In this lesson you'll learn how to use `describe` and `it` to outline your tests and make sure you don't break your library in the future.

Unit Testing with Mocha and Chai

Mocha is a feature-rich JavaScript test framework running on Node.js and in the browser, making asynchronous testing simple and fun. Mocha tests run serially, allowing for flexible and accurate reporting, while mapping uncaught exceptions to the correct test cases.

mocha

Mocha is a testing framework that provides structure for unit tests. In this lesson, we will be setting up Mocha with npm and npm scripts, writing a "Hello World" unit test, then writing the code to make the test pass (as an example of Test Driven Development (TDD), with the "red-green-refactor" workflow).

JavaScript Testing Fundamentals: Hello world unit test with Mocha (in ES6)

In this lesson, we will use Chai's request method to test our Node application's API responses.
By the end of this lesson, you will know how to:
- install the prerequisites to use mocha and chai in your application
- test for HTTP status response codes
- test for a string of text on a page
- test for a json response and validate the properties of the object
- write tests that not only verify the response of your application, but the behavior as well


Test Node RESTful API with Mocha and Chai

jq is a lightweight and flexible command-line JSON processor.

jq is a lightweight and flexible command-line JSON processor. It is extremely useful for processing data from APIs to better understand the data your code will be consuming, before you write the code. In this lesson I introduce you to jq and show you the basic features it provides using the Star Wars API (http://swapi.co) as our data source. Topics covered include filtering, piping, object construction and data manipulation.

Using jq to parse the Star Wars API

Writing great ES6 style Promises for Node.js is only half the battle. Your great modules must include tests as well to ensure future iterations don't break them. In this lesson, I show you a simple ES6 Promise in Node.js, then walk you through creating tests in Mocha using chai and chai-as-promised to test both resolve and reject methods.

Testing ES6 Promises in Node.js using Mocha and Chai

In this lesson, you will learn how to verify your API server is returning HTTP 400 responses when clients submit incorrect data. Returning HTTP 400 ensures that your clients are notified of the incorrect usage. Testing for them ensures your API returns errors instead of incorrect responses when supplied with incorrect data.

Test for HTTP 400 responses with Mocha and Chai

Unit testing functions that invoke callbacks can require a lot of setup code. Using `sinon.spy` to create a fake callback function can simplify your unit tests while still allowing you to observe the output of the function you're testing.

Unit Test a Function that Invokes a Callback with a Sinon Spy

[Jekyll](https://jekyllrb.com/) is a static site generator built in [Ruby](https://www.ruby-lang.org/en/) and available to generate and host websites on [GitHub Pages](https://pages.github.com/). In this course, you'll install the Jekyll gem, use the command line tool to generate a new project, inspect the scaffolded project, and finally, serve the starter website.

Install Jekyll and generate initial, scaffolded website

When testing functions that make HTTP requests, it's not preferable for those requests to actually run. Using the `nock` JavaScript library, we can mock out HTTP requests so that they don't actually happen, control the responses from those requests, and assert when requests are made.

Mock an HTTP request using Nock while unit testing

Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

node

When mocking a JavaScript function during a unit test, it can be helpful to force a mock function to return a value of your choosing. This allows you to verify that functions you're testing will behave correctly for every possible use case.

Much like [`sinon.spy()`](https://sinonjs.org/releases/v7.0.0/spies/), [`sinon.stub()`](https://sinonjs.org/releases/v7.0.0/stubs/) creates a mock function that prevents a real function from running. But, unlike `spy`, it also allows you to declare what value you'd like the mock function to return.

Mock a function's return value using a Sinon stub

Bash, unfortunately, doesn’t ship with a command that can work with JSON natively. In this lesson, we’ll learn how to read and do basic queries on JSON with `jq`, an installable command line tool that makes working with JSON in bash really easy. We'll pipe the JSON output of the Github API to jq to extract values. 

Note: jq has to be installed. On macOS, the easiest way to do this is to run `brew install jq`.  To view install instructions for all platforms, see https://stedolan.github.io/jq/download/. 

Read and Use JSON in Bash with jq

Sometimes when writing a unit test, you know that the module you're testing imports a module that you would like to observe, or at the very least mock to prevent side effects like network activity or file system operations.

For JavaScript unit tests that run in Node, we can hijack the built-in `require` function by using the [`proxyquire`](https://www.npmjs.com/package/proxyquire) module, which allows us to mock one or more modules that are second-class dependencies in our unit test, replacing them with whatever we want.

This means we could replace functions with [no-ops](https://en.wikipedia.org/wiki/NOP_%28code%29) to prevent side effects, or replace them with [Sinon spies](https://egghead.io/lessons/mocha-unit-test-a-function-that-invokes-a-callback-with-a-sinon-spy) to observe the inner workings of the module you're testing.

In this video, we'll demonstrate the basics of using Proxyquire to prevent and observe a file system operation.

Mock a Node module's dependencies using Proxyquire

In this lesson, we'll apply our `jq` skills and write a script that gets a list of dependencies from package.json and greps for usages of every package. If a package is unused, it's marked for removal. 

Use jq and grep to Find Unused Dependencies in a Project

jq can help you quickly filter massive amounts of JSON data, but how can you turn it into a CSV, so you can process it quickly with a database or spreadsheet application?

This lesson shows how to select the data you want for your CSV with jq, and uses the helper utility linked below to output as CSV.

https://github.com/joelpurra/jq-hopkok/tree/master/src/tabular

Convert JSON to CSV with jq

Jekyll is a blog-aware, static site generator written in Ruby. 

Requirements:
* Ruby version 2.5.0 or above
* RubyGems

Install the Jekyll Ruby gem on macOS quickly with just a few terminal commands and have a blog-aware site running locally.

Install Jekyll and Create a New Project

Blogging is built into Jekyll. You write blog posts as markdown or HTML files and Jekyll turns them blog posts. They follow a specific naming convention to be picked up and used by Jekyll

All blog post files require front matter. Front matter is a snippet of YAML at the top of a file. Front matter is used to set your layouts and meta data.

Create New Blog Post with Jekyll

Jekyll has a plugin system that allows you to add custom features to your site. There are many plugins available or you can even write your own. You can view a list of plugins at [Planet Jekyll](https://github.com/planetjekyll/awesome-jekyll-plugins)

Liquid is a templating language written in Ruby to output to the browser 

[Liquid Documentation](https://shopify.github.io/liquid/)

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