In src/models/User.py: **from **flask_sqlalchemy **import **SQLAlchemy **SQLALCHEMY_TRACK_MODIFICATIONS **= False # Turn off the Flask-SQLAlchemy event system and warning **SQLALCHEMY_DATABASE_URI **= 'your psycopg2 URI connection' **basedir **= os.path.abspath(os.path.dirname(_file_)) # Grabs the folder where the script runs. **from **er_bp **import **user_bpĪpp.register_blueprint(user_bp, **index**(): **from **flask_migrate **import **Migrate In src/app.py: **from **flask **import **Flask, render_template If you come from another framework you might have noticed the Flask CLI is used to set things such as FLASK_APP=app.py and FLASK_ENV=development but not to automatically create this structure for us. *_ automatically created from the command flask db init._.After that, please create the following structure in your project folder. This tutorial assumes that you already have installed Python, PostgreSQL, and Flask on your computer. As a solution, RESTful APIs became often used, removing the backend responsibility to render templates. As the Server renders HTML, CSS, and JS, it is impossible for an Android or iOS Client to handle it. A practical understanding of it is the render_template method from flask.īear in mind that this format is limited to a specific Client. For example, requesting the page /users returns all the HTML, CSS, and JS for that. In this approach, the Server response returns the entire page requested by the Client. The Server receives the client request, sends a request to the Database which sends back a response.Īfter manipulating the Database response, the Server then sends a response to the Client. The Client sends a request to the server. In order to build this application, we first need to understand the basic idea of CLIENT / SERVER. Please, feel free to contact me with any comments or suggestions. I tried to implement it as related as possible to a NodeJS application and I hope you like it. It is simply a guide in how to implement an application following an MVC Architecture. Overall, note that this tutorial is not focused on explaining what is a CRUD App neither its methods. However, when it comes to implementing CRUD and/or API projects I still would prefer Node.js. In my opinion, it is the best language for that. In particular, I have implemented many machine learning applications using Python. As it happens, with Flask I got stuck a lot of times while implementing a simple CRUD application, mainly in how to architecture the project using Python. I remember my first hands-on Node.js project and it was tremendously faster to get something up when comparing now with Flask. I have been working with Node.js in both development and production applications for several years and recently I have started specialization in Full Stack Web Development where Flask is used.
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