This project is part of the course "Curso de FastAPI: Modularización, Datos Avanzados y Errores " of "Platzi"

• Description
  • Features
• Requirements
• Installation
  • Using docker
  • Normal
• Usage

This is project is a simple REST API made with FastAPI for learning purposes.

Features included:

• Data modeling with pydantic.
• Data validation.
• CRUD of users.
• CRUD of Tweets.
• SQLAlchemy (MYSQL)
• Docker dev environment
• JWT Authentication
• FastAPI Router
• MyPY

• Python >= 3.6
• Docker and Docker Compose (Optionally)

1. Clone or download de repository:

   $ git clone https://github.com/JoseNoriegaa/platzi-twitter-api-fastapi
   

2. Open the console inside the project directory and create a virtual environment (You can skip this step if you have docker installed).

   $ python3 -m venv venv
   $ source venv/bin/activate

3. Install the app (You can skip this step if you have docker installed)

   (venv) $ pip install -r requirements.txt

Copy the env.example file into the same directory with the name .env

$ cp ./env.example ./.env

1. Run it with Docker Compose.

docker-compose up

1. Configure the environment variables into the .env.

# App
SECRET_KEY=rVsvupYHUbAgOGNMw0ytII_7tkn_iWkBhktVR_i3Tg8=  # You can leave this dev key as is.
DEBUG=True  # If DEBUG = True, the reload option of uvicorn will be enabled
PORT=8000  # Server port

# Database
DATABASE_URL=mysql+pymysql://${YOUR_USER}:${YOUR_PASSWORD}@${HOST}:${PORT}/${DATABASE NAME}  # Configure your database credentials here.

2. Run the server.

$ python3 main.py

Once you are running the server open the Swagger UI App to checkout the API documentation.