CrifanFlaskTemplate

Overview

The crifanFlaskTemplate is a Flask project template based on Python 3. It is designed to help developers quickly start developing Flask projects. The template includes various features such as support for REST API, caching data with Redis, working with MongoDB, server deployment with gunicorn, support for CORS, managing configuration parameters with python-dotenv, improving performance with gevent and greenlet, working with MySQL database, handling network requests with requests library, and image processing with pillow. The template also supports static files and common functionalities of MongoDB such as Gridfs file upload and download, retrieving JSON details of individual records in a collection, and retrieving paginated data.

Features

• TODO functionality: Allows users to add and manage TODO items.
• Structured default installation: Comes with a pre-defined project structure for easier development.
• Support for commonly used modules: Includes flask-restful for implementing REST API, redis and flask-redis for caching and temporary data storage, flask-pymongo for working with MongoDB, gunicorn for server deployment, flask-cors for CORS support, python-dotenv for managing multiple sets of configuration parameters, gevent and greenlet for asynchronous deployment and improved performance, pymysql for working with MySQL database, requests for network requests, and pillow for image processing.
• Support for static files: Allows for direct access to image files placed in the "assets/images" folder.
• Support for MongoDB functionalities: Provides common functionalities for working with MongoDB such as Gridfs file upload and download, retrieving JSON details of individual records in a collection, and retrieving paginated data.

Summary

The crifanFlaskTemplate is a Flask project template that provides various features and modules for fast and efficient development of Flask projects. It includes support for REST API, caching with Redis, working with MongoDB and MySQL, server deployment with gunicorn, CORS support, managing configuration parameters with python-dotenv, improving performance with gevent and greenlet, handling network requests, and image processing. The template also supports static files and common functionalities of MongoDB. The installation process involves installing the necessary libraries, resolving compatibility issues, setting up the development environment in PyCharm, importing resource files into MongoDB, setting up debugging, testing API endpoints with Postman, and deploying the project using gunicorn and supervisor.