flask-structure 0.1.1

A Python library dedicated to exemplify and facilitate the start of Flask projects for APIs 💫. Download flask-structure and streamline the "start" of your projects with ease 🚀.

Flask-Structure - Base Structure for API Projects 🧱

A Python library dedicated to exemplify and facilitate the start of Flask projects for APIs 💫. Download flask-structure and streamline the "start" of your projects with ease 🚀.

Repository with the idea of ​​the Library: Flask-Api-Structure

Organized and Scalable Structure. 😎📱

Project that can serve as a basis and learning to understand the structure

• UB Task API: Click Here
• Team Poke API: Click Here

Structure

Details

• Controllers: Contains controllers that manage the application logic, connecting routes to specific operations.
• Drivers: Stores the drivers and libraries necessary to connect and operate with other services or hardware.
• Errors: Defines specific error types and custom exceptions that can be triggered during code execution.
• Main: The main entry point of the application. Within this folder, "Routes" manages API routes, and "Server" is responsible for starting and managing the web server.
• Models: Contains data models, usually classes representing tables in the database.
• Static: Stores static files such as CSS, JS, images, etc., needed to render front-end web pages.
• Templates: Maintains HTML templates and documentation related to the structure or usage of the API.
• Validators: Includes scripts or modules to validate input data or API requests.
• Views: Defines different types of HTTP responses and views associated with presentation logic.

API Structure Features 🔨

• Info: Welcomes users and provides relevant information about the API and contacts.
• Docs: A place to learn about the API and how to use it interactively and dynamically.
• Favicon.ico: Icon to be displayed in the website window.

Key Technologies Used 🌐

• Flask: Framework used for web application development, providing a flexible and efficient structure for creating APIs and user interfaces.
• Python: Primary programming language chosen for its versatility, simplicity, and large developer community.
• Cerberus: Python data validation library, used to ensure the integrity and consistency of data manipulated by the application.
• Other Libraries: The rest of the libraries can be found in requirements.txt, including various tools and utilities that complement and enhance the application's functionality.

Documentation 📃

API:

An API (Application Programming Interface) is a set of rules and definitions that allows communication between different software. It enables applications and services to exchange information and functionality efficiently and standardized.

Key Uses in Development:

1. Service Integration: APIs facilitate integration between different services and platforms, allowing applications to share data and functionality.
2. Mobile Application Development: APIs are essential for mobile app development, providing access to resources such as location, camera, notifications, among others.
3. Access to External Data: Used to obtain data from external sources, such as social networks, databases, third-party services, providing up-to-date information.
4. Integration with Web Platforms: APIs are crucial for integrating web applications, enabling efficient communication between the front-end and back-end.
5. Microservices Development: In microservices architectures, APIs are essential for communication between the various distributed components of an application.
6. Task Automation: APIs allow the automation of routine tasks, optimizing processes and improving operational efficiency.
7. Plugin and Extension Development: Used to create plugins and extensions in various platforms, expanding the functionalities of existing software.
8. Resource Economy: Facilitate development by allowing the reuse of already implemented functionalities, saving time and resources.

How to Run the Library Locally 🛠️

1. Virtual Environment (Optional) For organization and ease of running the project, I suggest creating a virtual environment. To do this, use the following command:

  python -m venv .venv

  .venv\Scripts\activate

2. Download the library:

   pip install flask-structure

3. Run the command to create the project structure

  flask-structure create

4. Install dependencies:

   pip install -r requirements.txt

5. Run the application:

   python run.py

6. Use the structure your way ;)

Demonstrated Features of the Generated Structure 💻

1. Main Route ("/"): Returns a template that renders Swagger documentation.
   (http://127.0.0.1:3000)

2. API Information Route ("/info"): Returns a JSON with information about the API.
   (http://127.0.0.1:3000/info)

{
    "status": True,
    "message": "Welcome to the Structure Flask API!",
    "version": "1.0v",
    "endpoints": {
        "docs": "/",
        "info": "/info",
    },
    "documentation": "/",
    "contact": {
        "email_personal": "[e-mail]",
        "email_academic": "[e-mail]",
        "github": "piedro404",
        "linkedin": "pedrohenrique404"
    }
}

License

This project is licensed under the MIT License - see the LICENSE file for details.

About 📒

Thanks to everyone, I wish you great studies. If you want, contact me at [e-mail].