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Learn MongoDB 4.x

You're reading from   Learn MongoDB 4.x A guide to understanding MongoDB development and administration for NoSQL developers

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789619386
Length 610 pages
Edition 1st Edition
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Author (1):
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Doug Bierer Doug Bierer
Author Profile Icon Doug Bierer
Doug Bierer
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Essentials
2. Introducing MongoDB 4.x FREE CHAPTER 3. Setting Up MongoDB 4.x 4. Essential MongoDB Administration Techniques 5. Section 2: Building a Database-Driven Web Application
6. Fundamentals of Database Design 7. Mission-Critical MongoDB Database Tasks 8. Using AJAX and REST to Build a Database-Driven Website 9. Section 3: Digging Deeper
10. Advanced MongoDB Database Design 11. Using Documents with Embedded Lists and Objects 12. Handling Complex Queries in MongoDB 13. Section 4: Replication, Sharding, and Security in a Financial Environment
14. Working with Complex Documents Across Collections 15. Administering MongoDB Security 16. Developing in a Secured Environment 17. Deploying a Replica Set 18. Replica Set Runtime Management and Development 19. Deploying a Sharded Cluster 20. Sharded Cluster Management and Development 21. Other Books You May Enjoy

Modifying the product purchase web action script

We can now turn our attention to the web script that processes purchases: /path/to/repo/www/chapter_06/purchase.py. This script was first introduced in Chapter 5, Mission-Critical MongoDB Database Tasks. As with the modified select.py script, described in the previous section of this chapter, we use the new Config service, as well as having moved the responder class, as shown:

from web.responder.html import HtmlResponder
html_out = HtmlResponder('templates/purchase.html')

The main difference in this version is how a list of the products purchased is built. As before, we initialize an empty dictionary, productsPurchased. We then add a dictionary obtained from the products domain service that contains product keys:

    prodKeys = prod_service.fetchKeys()
productsPurchased = dict()

We loop through the list of product keys and recreate the quantity purchased form element name sent to the data table: qtyKey = 'qty_...

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