Project: Mini-chat on FastAPI

This project is a mini-chat using FastAPI to create an API, SQLAlchemy to work with a database, and a simple frontend to interact with users. The app contains two main models: a user model and a message model, which allows users to send and receive messages in real time.

Technology Stack:

• Backend: FastAPI
• Frontend: HTML/JavaScript
• ORM: SQLAlchemy
• Database: Any database supported by SQLAlchemy (e.g., PostgreSQL or SQLite). The example uses SQLite.

Main components:

1. User Model: Contains user information, including username, email and password.
2. Message Model: Stores messages sent by users, including the time they were sent, the sender, and the body of the message.

Functionality:

It is a web-based messaging application where users can send and receive real-time messages. Key features include:

1. Authentication: Register and authorize users through HTML and JavaScript forms. APIs are used for data processing and validation.
2. Chat: Users can select interlocutors from the list and chat with them. Messages are displayed in the chat window.
3. Sending Messages: Users can send text messages. WebSocket is used for instant message delivery. Old messages are loaded using server polling.
4. Interface: A modern and responsive interface using CSS that provides a seamless experience across devices.
5. User Management: Ability to select interlocutors, log out and work with "Favorites" like "Favorites" from telegrams.

GIF Animation Example

Below is an animation that demonstrates the process of the application:

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How to launch a project

Installing Dependencies:

pip install -r requirements.txt

Performing Alembic Migrations:

alembic upgrade head

Project launch:

uvicorn app.main:app