In your flask_app directory, open a new file called config.py. This file will hold your Flask application’s configuration: Next, create a new categories.html file inside the posts directory. This is the file you rendered in the categories() view function of the posts blueprint: When you are finished, hit CTRL + C in your terminal window to stop the Flask development server. Creating the WSGI Entry Point

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This output means that the db object was properly registered. If you get an error running the code in the Flask shell, ensure you’ve correctly registered the db object in your factory function before moving to the next section. You can exit the Flask shell by typing exit(). Creating and Interacting with the Post Model This tutorial could be a bit better. For example there’s no automation. No explanation of what’s in proxy_params. I made a comment about removing it because I had added in redundant proxy headers. You now have an understanding of how to use dynamic routes to display different responses in a single route depending on the requested URL. Next, you’ll learn how to troubleshoot and debug your Flask application in case of an error. Step 6 — Debugging A Flask Application Note: When opening a new terminal, or when you close the one you are running the development server on and want to rerun it, it is important to remember activating the virtual environment and setting the environment variables FLASK_ENV and FLASK_APP for the flask run command to work properly. Once you have verified that the routes are behaving as expected, you can create the templates. Step 4 — Creating Templates

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. At this point in the tutorial, your flask_app directory structure is as follows (excluding the virtual environment’s directory): . flask_app/app.py # ... @app .route ( '/' , methods = ( 'GET' , 'POST' ) ) def index ( ) : return render_template ( 'index.html' )

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We specialize in simplifying and streamlining complex projects; making them intuitive and easy to maintain. These commands will apply the modifications you make to your models and will delete all the existing data in the database. To update the database and preserve existing data, you’ll need to use schema migration, which allows you to modify your tables and preserve data. You can use the Flask-Migrate extension to perform SQLAlchemy schema migrations through the Flask command-line interface.For anyone struggling with the database creation. It’s missing an import part for the models. I’ve added models at the end after create_app else won’t create the user table specified. >>> from project import db, create_app, models We found Innovestor with a solid model and workable resources, but considerable waste in the form of unnecessary resources being expended and redundant processes. You use a Jinja for loop in the line {% for post in posts %} to go through each post in the posts list. You access the creation date via {{ post['created'] }}, the title via {{ post['title'] }}, and the post content via {{ post['content'] }}. 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. The last two lines will copy the requirements.txt file into the container so that it can be executed, and then parses the requirements.txt file to install the specified dependencies.