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Rest API template developed in Python with the Flask framework. The template covers user management and jwt tokens for authentication.

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Flask API REST Template

Development Staging Production

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Rest API template developed in Python with the Flask framework. The template covers user management, jwt tokens for authentication, and assign permissions for each user with Flask Principal. In the local environment, it uses docker to create an environment made up of several services such as api (flask), database (postgresql), reverse-proxy (nginx).

Index

Technology

  • Operating System: Ubuntu
  • Web Framework: Flask
  • ORM: Flask-sqlalchemy
  • Swagger: Swagger-UI
  • Authentication: Flask Json Web Token
  • Permission: JWT Decorator
  • Serialization, Deserialization and Validation: Marshmallow
  • Migration Database: Flask-migrate
  • Environment manager: Anaconda/Miniconda
  • Containerization: Docker, docker-compose
  • Database: PostgreSQL
  • Python WSGI HTTP Server: Gunicorn
  • Proxy: Nginx
  • Tests: Unittest
  • Deployment platform: AWS
  • CI/CD: Github Actions

Requirements

Environments

Develop

Development environment that uses PostgreSQL in local and uses the server flask in debug mode.

  1. Create environment and install packages
conda create -n backend python=3.10

conda activate backend

pip install -r requirements.txt
  1. Create PosgresSQL on Ubuntu
# Install PosgresSQL
sudo apt-get install postgresql-12

# Access to PosgresSQL
sudo -u postgres psql

# Create user and password
CREATE USER db_user WITH PASSWORD 'db_password';

# Create Database dev
CREATE DATABASE db_dev;

# Add permission User to Database
GRANT ALL PRIVILEGES ON DATABASE db_dev TO db_user;
  1. Create or update .env file
# APP configuration
APP_NAME=Flask API Rest Template
APP_ENV=develop

# Flask Configuration
FLASK_APP=app:app
FLASK_DEBUG=true
APP_SETTINGS_MODULE=config.DevelopConfig
FLASK_RUN_HOST=0.0.0.0
FLASK_RUN_PORT=5000

# Secret key
SECRET_KEY=<your-secret-key>
JWT_SECRET_KEY=<your-jwt-secret-key>

# Database service configuration
DATABASE_URL=postgresql://db_user:db_password@localhost/db_dev
  1. Run application
# Create database
flask create-db

# Create user admin
flask create-user-admin

# Run a development server
flask run

Testing

Testing environment that uses PostgreSQL as database (db_test) and performs unit tests, integration tests and API tests.

  1. Create test environment

  2. Create Test Database

  3. Create or update .env file

# APP configuration
APP_NAME=Flask API Rest Template
APP_ENV=testing

# Flask Configuration
FLASK_APP=app:app
FLASK_DEBUG=true
APP_SETTINGS_MODULE=config.TestingConfig
FLASK_RUN_HOST=0.0.0.0
FLASK_RUN_PORT=3000

# Secret key
SECRET_KEY=<your-secret-key>
JWT_SECRET_KEY=<your-jwt-secret-key>

# Database service configuration
DATABASE_TEST_URL=postgresql://db_user:db_password@localhost/db_test
  1. Init database
# Create database
flask create-db

# Create user admin
flask create-user-admin
  1. Run all the tests
flask tests
  1. Run unit tests
flask tests_unit
  1. Run integration tests
flask tests_integration
  1. Run API tests
flask tests_api
  1. Run coverage
flask coverage
  1. Run coverage report
flask coverage_report

Local

Containerized services separately with PostgreSQL databases (db), API (api) and Nginx reverse proxy (nginx) with Docker and docker-compose.

  1. Create .env.api.local, .env.db.local files

    1. .env.api.local

      # APP configuration
      APP_NAME=[Name APP] # For example Flask API Rest Template
      APP_ENV=local
      
      # Flask configuration
      API_ENTRYPOINT=app:app
      APP_SETTINGS_MODULE=config.LocalConfig
      APP_TEST_SETTINGS_MODULE=config.TestingConfig
      
      # API service configuration
      API_HOST=<api_host> # For example 0.0.0.0
      API_PORT=<port_api> # For example 5000
      
      # Database service configuration
      DATABASE=postgres
      DB_HOST=<name_container_bbdd> # For example db_service (name service in docker-compose)
      DB_PORT=<port_container_bbdd> # For example 5432 (port service in docker-compose)
      POSTGRES_DB=<name_database> # For example db_dev
      POSTGRES_USER=<name_user> # For example db_user
      PGPASSWORD=<password_user> # For example db_password
      
      # Secret key
      SECRET_KEY=<your-secret-key>
      JWT_SECRET_KEY=<your-jwt-secret-key>
      
      DATABASE_TEST_URL=<url database test> # For example postgresql+psycopg2://db_user:db_password@db_service:5432/db_test
      DATABASE_URL=<url database> # For example postgresql+psycopg2://db_user:db_password@db_service:5432/db_dev
    2. .env.db.local:

      POSTGRES_USER=<name_user> # For example db_user
      POSTGRES_PASSWORD=<password> # For example db_password
      POSTGRES_DB=<name_DB> # For example db_dev
  2. Build and run services shell docker-compose up --build 2. Stop services: shell docker-compose stop 3. Delete services: shell docker compose down 4. Remove services (removing volumes): shell docker-compose down -v 4. Remove services (removing volumes and images): shell docker-compose down -v --rmi all 5. View services: shell docker-compose ps NOTE: The Rest API defaults to host localhost and port 80.

Production

Apply CI/CD with Github Actions to automatically deployed to AWS platform use EC2, RDS PostgresSQL.

  1. Create file .env.pro and enter the environment variables needed for production. For example:

    # APP configuration
    APP_NAME=Flask API Rest Template
    APP_ENV=production
    
    # Flask configuration
    API_ENTRYPOINT=app:app
    APP_SETTINGS_MODULE=config.ProductionConfig
    
    # API service configuration
    API_HOST=<api_host> # For example 0.0.0.0
    
    # Secret key
    SECRET_KEY=<your-secret-key>
    JWT_SECRET_KEY=<your-jwt-secret-key>
    
    # Database service configuration
    DATABASE_URL=<url_database> # For example sqlite:///production.db
    
    # Deploy platform
    PLATFORM_DEPLOY=AWS

Flask Commands

Flask-cli

  • Create all tables in the database:

    flask create_db
  • Delete all tables in the database:

    flask drop_db
  • Create admin user for the Rest API:

    flask create-user-admin
  • Database reset:

    flask reset-db
  • Run tests without coverage:

    flask reset-db
  • Run tests with coverage without report in html:

    flask cov
  • Run tests with coverage with report in html:

    flask cov-html

Database commands

Flask-migrate

  • Create a migration repository:

    flask db init
  • Generate a migration version:

    flask db migrate -m "Init"
  • Apply migration to the Database:

    flask db upgrade

Swagger

http://localhost:<port>/swagger-ui

Swagger

Reference

Contribution

Feel free to make any suggestions or improvements to the project.