Book Image

Angular Services

By : Sohail Salehi
Book Image

Angular Services

By: Sohail Salehi

Overview of this book

A primary concern with modern day applications is that they need to be dynamic, and for that, data access from the server side, data authentication, and security are very important. Angular leverages its services to create such state-of-the-art dynamic applications. This book will help you create and design customized services, integrate them into your applications, import third-party plugins, and make your apps perform better and faster. This book starts with a basic rundown on how you can create your own Angular development environment compatible with v2 and v4. You will then use Bootstrap and Angular UI components to create pages. You will also understand how to use controllers to collect data and populate them into NG UIs. Later, you will then create a rating service to evaluate entries and assign a score to them. Next, you will create "cron jobs" in NG. We will then create a crawler service to find all relevant resources regarding a selected headline and generate reports on it. Finally, you will create a service to manage accuracy and provide feedback about troubled areas in the app created. This book is up to date for the 2.4 release and is compatible with the 4.0 release as well, and it does not have any code based on the beta or release candidates.
Table of Contents (15 chapters)
Angular Services
About the Author
About the Reviewer
Customer Feedback


In this chapter, we implemented the logic for automated tasks. We saw how to import and use node packages that don't contain Typings and where we can find the registry for adding new type definitions.

We used a cron job to call services created in the previous chapters for collecting, rating, and storing qualified news in a list ready to be fetched and notified by the application or later via email. We also saw how to implement the helper functions for calculating dates, finding out dated items, and keeping the database clean on each cron job cycle.

In the next chapter, we will see how to use clustering algorithms to find related resources (articles, images, videos, and so on) to the news of our interest.