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Learning Flask Framework

You're reading from   Learning Flask Framework Build dynamic, data-driven websites and modern web applications with Flask

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781783983360
Length 250 pages
Edition 1st Edition
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Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. Creating Your First Flask Application FREE CHAPTER 2. Relational Databases with SQLAlchemy 3. Templates and Views 4. Forms and Validation 5. Authenticating Users 6. Building an Administrative Dashboard 7. AJAX and RESTful APIs 8. Testing Flask Apps 9. Excellent Extensions 10. Deploying Your Application Index

Loading comments using AJAX


Now that we are able to create validated comments using AJAX, let's use the API to retrieve the list of comments and display them beneath the blog entry. To do this, we will read the values from the API and dynamically create DOM elements to display the comments. As you might recall from the earlier API responses we examined, there is quite a bit of private information being returned, including the entire serialized representation of each comment's associated Entry. For our purposes, this information is redundant and will furthermore waste bandwidth.

Let's begin by doing a bit of additional configuration to our comments endpoint to restrict the Comment fields we return. In api.py, make the following addition to the call to api.create_api():

api.create_api(
    Comment,
    include_columns=['id', 'name', 'url', 'body', 'created_timestamp'],
    methods=['GET', 'POST'],
    preprocessors={
        'POST': [post_preprocessor],
    })

Requesting the list of comments...

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