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TLDR

• A versatile framework for building FastAPI applications with dynamic model generation.
• Easily define your data models and let the framework auto-generate corresponding CRUD API routes.
• Make use of async database operations for improved performance.
• Tailor to a wide range of applications from simple CRUD APIs to complex data management systems.

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Overview

This project is a robust and scalable FastAPI framework designed for efficient data management and API development. Leveraging the power of Python's async capabilities and SQLAlchemy for database interactions, this framework offers a versatile approach to creating APIs with dynamic model generation and flexible storage solutions.

Key Features

• Dynamic API Route Generation: Automatically generates API routes based on configurable entities.
• Modular Storage Management: Integrates with PostgreSQL, ensuring efficient data storage and retrieval.
• Type-Safe Operations: Utilizes Pydantic for rigorous data validation and type checking.
• Asynchronous Support: Leverages Python's async features for non-blocking database operations.
• Scalable Architecture: Designed to accommodate growing data needs and additional functionalities.

Use Cases

• Rapid API Development: Streamlines the process of creating and deploying APIs for data-intensive applications.
• Customizable Data Models: Tailor data models and API endpoints to specific business requirements.
• Data Management: Ideal for applications requiring robust database operations, including CRMs, e-commerce platforms, and content management systems.

Getting Started

To get started with this framework:

1. Installation: Clone the repository and install dependencies using Poetry.

   git clone <repository-url>
   cd <repository-name>
   poetry install

2. Configuration: Set up your database credentials and other configurations in examples/config.py.

3. Run the Application:

   poetry run python examples/app.py

Examples

Defining a Configurable Entity:

# examples/config.py
from dyapi.entities.config import Config, ConfigField

configs: list[Config] = [
    Config(
        name="Entity1",
        api_tags=["Entity1"],
        fields=[
            ConfigField(name="field_1", type=int, location="path"),
            # Add more fields as needed
        ],
    ),
]

Starting the Server: Run the server with Uvicorn:

poetry run uvicorn examples.app:application --reload

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Contributing

We welcome contributions! Please read our contributing guidelines for instructions on how to submit pull requests.

License

This project is licensed under MIT License.

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For more detailed information, refer to the documentation. Happy coding!

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