Flash decision

Description

Flash Decision - an application designed to enhance your securities trading skills through comprehensive training.

Built with a focus on high maintainability, scalability, and testability, utilizing architectural patterns like Clean Architecture and Domain-Driven Design (DDD).
Employs a modern technology stack: FastAPI, SQLAlchemy 2.0 with async ORM, Pandas 2.0 and Pydantic 2.0.
Implements powerful logging using structlog and rich. JSON-based logs for production and aesthetically pleasing RICH logs for development.
Offers database flexibility through alembic database migrations, with two separate schemas for production and development data.
Embraces code conciseness using the attrs and pydantic libraries.
Ensures high code cohesion and low coupling by applying the dependency inversion principle and employing various software design patterns:
- Classic patterns: Factory, Singleton, Command, State, Observer, Facade.
- DDD patterns: ValueObject, Aggregate, Repository, UnitOfWork.
Enhances code quality by utilizing rich types through Generics and other techniques.
Simplifies high-level configuration with the Bootstrap and Config modules, along with the use of environment variables via dot-env.
Maintains a high-quality codebase with linters such as mypy, ruff, black, and isort.
Minimizes low-quality code commits with pre-commit hooks.
Ensures code reliability with extensive testing, covering 94% of the codebase through a combination of 98 integration and unit tests, evaluated using pytest-cov.

Over 100 tickets on the project's Backend Kanban board and project's Frontend Kanban board
More than 180 uniform Git commits with detailed descriptions that are linked to Kanban tickets.
The app can operate in 2 modes: production or development.
A useful Makefile is included to automate and streamline the build process.