Book Image

Intel Galileo Networking Cookbook

By : Marco Schwartz
Book Image

Intel Galileo Networking Cookbook

By: Marco Schwartz

Overview of this book

Arduino is an electronic prototyping platform used by millions of people around the world. Intel Galileo is fully Arduino compatible; hence it combines the high performance of Intel with the simplicity of Arduino Software Development Environment. This makes it the ideal platform to build exciting projects, especially in the field of web-based connected applications and the Internet of Things. The book features several recipes all based on the Intel Galileo board, and that exploit the powerful features of the board. Each chapter explores a given field using the Galileo board. The book is mainly divided in three parts. The first part is all about learning the basics of the Intel Galileo board, but it uses some of the powerful features of the board such as connecting external sensors and complex hardware devices, compared with more basic Arduino boards. Then, the book dives into the topics related to networking and the Internet of Things. You will learn how to run a web server on the board and log data using a cloud-based service. Finally, the book ends with a chapter that aims to build a complete home automation hub using the Galileo board. This chapter uses everything that was learned in the book to make a home automation system using the Galileo board and Arduino.
Table of Contents (10 chapters)
9
Index

Accessing weather data remotely

In this recipe, we are going to see how to interact with a simple web API—a weather data service called Forecast.io. Using this API, we are going to grab the weather data from the service and get it back to our board.

Getting ready

We need to register with the Forecast.io website, https://developer.forecast.io/register, before we can code our project.

The goal is to get an API key that you will find inside your Account tab:

Getting ready

Keep this key handy; you will need it soon enough.

How to do it...

Let's now look at the code. The goal is to connect to the Forecast.io server, send a request to get local weather data, and then print the data inside the console. This is the complete code (this code was taken from the example code in the Forecast.io Node.js module):

// Require the module
var Forecast = require('forecast');

// Initialize
var forecast = new Forecast({
  service: 'forecast.io',
  key: 'your_api_key', // Should be replaced...