4GeeksAcademy/flask-rest-hello

Flask Boilerplate for Junior Developers

Create flask API's in minutes, 📹 watch the video tutorial.

• Extensive documentation here.
• Integrated with Pipenv for package managing.
• Fast deloyment to render.com or heroku with $ pipenv run deploy.
• Use of .env file.
• SQLAlchemy integration for database abstraction.

1) Installation

This template installs itself in a few seconds if you open it for free with Codespaces (recommended) or Gitpod. Skip this installation steps and jump to step 2 if you decide to use any of those services.

Important: The boiplerplate is made for python 3.10 but you can change the python_version on the Pipfile.

The following steps are automatically runned withing gitpod, if you are doing a local installation you have to do them manually:

pipenv install;
psql -U root -c 'CREATE DATABASE example;'
pipenv run init;
pipenv run migrate;
pipenv run upgrade;

Note: Codespaces users can connect to psql by typing: psql -h localhost -U gitpod example

2) How to Start coding

There is an example API working with an example database. All your application code should be written inside the ./src/ folder.

• src/main.py (it's where your endpoints should be coded)
• src/models.py (your database tables and serialization logic)
• src/utils.py (some reusable classes and functions)
• src/admin.py (add your models to the admin and manage your data easily)

For a more detailed explanation, look for the tutorial inside the docs folder.

Remember to migrate every time you change your models

You have to migrate and upgrade the migrations for every update you make to your models:

$ pipenv run migrate # (to make the migrations)
$ pipenv run upgrade  # (to update your databse with the migrations)

Generate a database diagram

If you want to visualize the structure of your database in the form of a diagram, you can generate it with the following command:

$ pipenv run diagram

This command will generate a file with the database diagram based on the models defined in src/models.py.

Check your API live

1. Once you run the pipenv run start command your API will start running live and you can open it by clicking in the "ports" tab and then clicking "open browser".

✋ If you are working on a coding cloud like Codespaces or Gitpod make sure that your forwared port is public.

Publish/Deploy your website!

This boilerplate it's 100% read to deploy with Render.com and Herkou in a matter of minutes. Please read the official documentation about it.

Contributors

This template was built as part of the 4Geeks Academy Coding Bootcamp by Alejandro Sanchez and many other contributors. Find out more about our Full Stack Developer Course, and Data Science Bootcamp.

You can find other templates and resources like this at the school github page.