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FlaskAPI is fully separates API based on Microservices

For CRUD operations is used Customer model

Each part is work like Microservice
The Microservice runs in separate Docker container

Microservice has its own Database
Database can be switch from MongoDB to Postgres or other

Also the API include

• authentication mechanism using JWT tokens
• pagination and filtering to limit the amount of data returned
• use caching mechanism to improve performance for frequently accessed data
• rate limiting to prevent abuse of the API

Clone the project

git clone [email protected]:zakharb/flaskapi.git
cd flaskapi

Start docker-compose

docker-compose up -d

Login and get JWT token. Use it in protected requests

curl --location --request POST 'http://localhost:8080/login' \
--header 'Content-Type: application/json' \
--data-raw '{
    "username": "admin",
    "password": "password"
}'

Add customer

curl --location --request POST 'http://localhost:8080/api/v1/customers' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJmcmVzaCI6ZmFsc2UsImlhdCI6MTY3OTIzNDYyOCwianRpIjoiM2JlNzJjYjktY2QyYi00ZTcyLTg5M2YtOThkZTZhMDVlMTlhIiwidHlwZSI6ImFjY2VzcyIsInN1YiI6ImFkbWluIiwibmJmIjoxNjc5MjM0NjI4LCJleHAiOjE2NzkyMzU1Mjh9.p_rJn8dHb3CIL4zPAgcG6qGsZxJOJZ8O6SL2GlJwGpY' \
--data-raw '{
    "name": "John Wick",
    "customer_class": "Enduser",
    "vat_percentage": 12,
    "status": "Active"
}'

Get customer by id

curl -X 'GET' 'http://localhost:8080/api/v1/customers/64170cf4236f4def3a87d600'

Get all customers

curl -X 'GET' 'http://localhost:8080/api/v1/customers/?page_size=3&page=2'

Update customer

curl --location --request PUT 'http://localhost:8080/api/v1/customers/6416c8af76181e5bd5641271' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer paste_token_here_eyJ...U' \
--data-raw '{
    "name": "John Doe",
    "customer_class": "Enduser",
    "vat_percentage": 11,
    "status": "Active"
}'

Delete customer

curl --location --request Delete 'http://localhost:8080/api/v1/customers/6416c8af76181e5bd5641271' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer paste_token_here_eyJ...U' \

To solve problem with performance each Service run in container
Gunicorn work as WSGI server and connect to one piece with Nginx
Main configuration is docker-compose.yml

• every service located in separate directory name-service
• use Dockerfile to change docker installation settings
• folder app contain FastAPI application
• all services connected to one piece in docker-compose.yml
• example of service + DB containers (change --workers XX to increase multiprocessing)

Customer service

  customer_service:
    build: ./customer-service
    command: gunicorn app.main:app --bind 0.0.0.0:8000 --reload
    volumes:
      - ./customer-service/:/app/
    ports:
      - 8001:8000
    environment:
      - DATABASE_URI=mongodb://root:root@mongo:27017/
    depends_on:
       - customer_db
  
  customer_db:
    image: mongo
    restart: always
    environment:
      MONGO_INITDB_ROOT_USERNAME: root
      MONGO_INITDB_ROOT_PASSWORD: root
    logging:
        driver: none

Edit Dockerfile for each Microservice and deploy container

Using SemVer for versioning. For the versions available, see the tags on this repository.

• Zakhar Bengart - Initial work - Ze

See also the list of contributors who participated in this project.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation - see the LICENSE file for details