minix 0.1.8

A modular Python framework for backend, AI, and data projects

Minix

Minix is a lightweight backend framework tailored for building data-driven applications quickly and effectively. With its modular design and strong integration with modern tools, Minix empowers developers to create scalable and maintainable systems with minimal setup.

---

Key Features

• FastAPI Integration: Leverage the power of FastAPI for building highly efficient REST APIs.
• Celery Integration: Built-in support for distributed task queues using Celery.
• Database Support: Seamless database connectivity with SQLAlchemy and support for MySQL (via PyMySQL).
• Kafka Compatibility: Asynchronous Kafka message processing with aiokafka.
• Environment Management: Simplified environment configuration using dotenv.
• Cloud Ready: Enables integration with AWS services using boto3.
• Expandability: Optional AI tools with extras like PyTorch and MLflow for machine learning use cases.

---

Installation

First, make sure Python 3.12 or a newer version is installed. Then, install the package via pip:

pip install minix

If you are developing locally, you can install it in editable mode:

pip install -e .

---

Getting Started

1. Create Your Application

After installation, you can use the CLI to kickstart your project:

minix init your_project_name

This will generate a boilerplate folder structure for your data application.

2. Define Your Application Logic

Easily define and organize tasks, APIs, or other services. For example:

• API Routes: Using FastAPI, you can create and register endpoints effortlessly.
• Task Scheduling: Add Celery tasks for distributed job processing.

3. Run Your Services

Once your application is ready, you can execute services like the development server or workers:

# Start the FastAPI server
minix run

# Start Celery workers
minix runworker

---

Configuration

Minix uses environment variables for configuration management. You can define your settings in a .env file. note that for other connectors you should add their respective environment variables as needed. (example .env file)

CELERY_BROKER_URL=redis://redis:6379/0
CELERY_BROKER_URL=redis://localhost:6379/0
CELERY_RESULT_BACKEND=db+mysql://root:rootpassword@mysql:3306/db_name
CELERY_RESULT_BACKEND=db+mysql://root:rootpassword@localhost:3306/db_name

---

Extras

AI Capabilities

To enable optional AI-related tools, install the package with the ai extra:

pip install "minix[ai]"

This will add support for tools like PyTorch and MLflow for machine learning.

Development Tools

For local development, optional dev tools like typer can be installed:

pip install "minix[dev]"

License

Minix is licensed under the MIT License. See the LICENSE file for more details.

---

Let me know if you’d like to add anything specific, like usage examples, advanced configurations, or badges!