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Mastering Flask

You're reading from   Mastering Flask Gain expertise in Flask to create dynamic and powerful web applications

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Product type Paperback
Published in Sep 2015
Publisher Packt
ISBN-13 9781784393656
Length 288 pages
Edition 1st Edition
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Author (1):
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Jack Stouffer Jack Stouffer
Author Profile Icon Jack Stouffer
Jack Stouffer
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Table of Contents (15) Chapters Close

Preface 1. Getting Started 2. Creating Models with SQLAlchemy FREE CHAPTER 3. Creating Views with Templates 4. Creating Controllers with Blueprints 5. Advanced Application Structure 6. Securing Your App 7. Using NoSQL with Flask 8. Building RESTful APIs 9. Creating Asynchronous Tasks with Celery 10. Useful Flask Extensions 11. Building Your Own Extension 12. Testing Flask Apps 13. Deploying Flask Apps Index

Our first model


You may have noted that we did not actually create any tables in our database to abstract off of. This is because SQLAlchemy allows us to create either models from tables or tables from our models. This will be covered after we create the first model.

In our main.py file, SQLAlchemy must first be initialized with our app as follows:

from flask.ext.sqlalchemy import SQLAlchemy

app = Flask(__name__)
app.config.from_object(DevConfig)
db = SQLAlchemy(app)

SQLAlchemy will read our app's configuration and automatically connect to our database. Let's create a User model to interact with a user table in the main.py file:

class User(db.Model):
    id = db.Column(db.Integer(), primary_key=True)
    username = db.Column(db.String(255))
    password = db.Column(db.String(255))

    def __init__(self, username):
        self.username = username

    def __repr__(self):
        return "<User '{}'>".format(self.username)

What have we accomplished? We now have a model that is based on...

You have been reading a chapter from
Mastering Flask
Published in: Sep 2015
Publisher: Packt
ISBN-13: 9781784393656
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