A local Python 3 programming environment, which you can set up by following the tutorial for your distribution in How To Install and Set Up a Local Programming Environment for Python 3 series. In this tutorial, we’ll call our project directory flask_app. A local Python 3 programming environment. Follow the tutorial for your distribution in How To Install and Set Up a Local Programming Environment for Python 3 series. In this tutorial we’ll call our project directory flask_app. Leave /logout alone for now because it will not display a template later. Step 5 — Creating User Models

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The -m flag is for module-name. This command will execute the module venv to create a new virtual environment named auth. This will create a new directory containing bin, include, and lib subdirectories. And a pyvenv.cfg file.In the categories route, you render a categories.html template, which will also be inside a posts directory inside the templates folder. flask_app/app.py # ... @app .route ( '/create/' , methods = ( 'GET' , 'POST' ) ) def create ( ) : return render_template ( 'create.html' ) You use a class called Config and set configuration values using class variables. Here, you set three configurations:

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You close the database connection using the close() method and return the result of rendering the index.html template. You also pass the posts object as an argument, which contains the results you got from the database. This will allow you to access the blog posts in the index.html template. def get_post (post_id ) : conn = get_db_connection ( ) post = conn .execute ( 'SELECT * FROM posts WHERE id = ?' , (post_id , ) ) .fetchone ( ) conn .close ( ) if post is None : abort ( 404 ) return post . . . flask_app/app.py from flask import Flask , render_template , request , url_for , flash , redirect # ... To create a questions database model, open a new file called question.py inside your models directory: Note: You will not set a secret key in this tutorial because you will not use functionality that needs a secret key. However, if you need to set a secret key, you can set it as follows (for Windows, use set instead of export):You close the database connection using the close() method and return the result of rendering the index.html template. You also pass the posts object as an argument, which contains the results you got from the database, this will allow you to access the blog posts in the index.html template. While in your flask_app directory with your virtual environment activated, you will tell Flask where the factory function is by passing the core application’s directory name app as a value to the FLASK_APP environment variable. Then you will set the FLASK_ENV environment variable to development to run the application in development mode and get access to the debugger. For more information about the Flask debugger, see How To Handle Errors in a Flask Application. You import the os module to access your file system. You use os to establish the base directory with os.path.abspath(os.path.dirname(__file__)) to correctly set up the path of the database file. The application is running locally on the URL http://127.0.0.1:5000/. 127.0.0.1 is the IP that represents your machine’s localhost and :5000 is the port number. app .register_blueprint (posts_bp , url_prefix = '/posts' ) from app .questions import bp as questions_bp

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In this schema file, you first delete the posts table if it already exists. This avoids the possibility of another table named posts existing, which might result in confusing behavior (for example, if it has different columns). This isn’t the case here, because you haven’t created the table yet, so the SQL command won’t be executed. Note that this will delete all of the existing data whenever you execute this schema file. For our purposes, you will only execute this schema once, but you might want to execute it again to delete whatever data you inserted and start with an empty database again.To demonstrate how to handle errors, you will create a route that greets a user from a list of usernames. In large applications, you may have hundreds of database tables, which means you would need to write hundreds of SQLAlchemy models to manage them. Putting all your models in one file will make your application hard to maintain, so you will split your models into separate Python files inside a models directory. Each file will hold the models and functions related to a specific part of your application. For example, you may put models and functions for managing posts inside a post.py file in a directory called models in the app directory. project/templates/base.html