guaro 0.1.0

Guaro: Unified REST + GraphQL framework with auto-migration and multi-database support

Guaro - Modern Python Backend Framework

A powerful, async-first Python framework for building REST & GraphQL APIs with automatic schema management, dependency injection, and type-safe data validation.

✨ Features

• 🚀 Async-First: Built on Starlette for high-performance async request handling
• 🔄 Multi-Protocol: REST and GraphQL support out of the box
• 📊 Database Agnostic: SQLite, PostgreSQL, MySQL, MongoDB support with intelligent schema management
• ✅ Auto-Migrate: Smart schema updates that preserve data (never loses existing data)
• 🔗 Relations: Built-in support for complex relationships and nested queries
• 💉 Dependency Injection: Clean dependency resolution for handlers and middleware
• 🛡️ Type Safe: Full type hints for better IDE support and developer experience
• 📝 Auto Documentation: Automatic OpenAPI/Swagger generation
• 🔐 Middleware & Auth: Built-in middleware support for authentication & permissions

🚀 Quick Start

Installation

Install the latest version from PyPI:

# Basic installation with SQLite support
pip install guaro

# With specific database support
pip install "guaro[postgres]"     # PostgreSQL
pip install "guaro[mysql]"        # MySQL
pip install "guaro[mongodb]"      # MongoDB
pip install "guaro[all-databases]" # All databases

# Development version from source
git clone https://github.com/Alazar42/Guaro.git
cd Guaro
pip install -e ".[all-databases,dev]"

See Installation & Setup Guide for detailed setup instructions and environment configuration.

Basic Example

from guaro import API, Model, Router, DatabaseEngine

# Define your models
class User(Model):
    id: int
    name: str
    email: str

class Post(Model):
    id: int
    title: str
    body: str
    author: "User"

# Configure API
api = API(database={
    "engine": DatabaseEngine.POSTGRESQL,
    "url": "postgresql+asyncpg://user:pass@localhost/dbname",
    "auto_migrate": True,  # Automatic schema creation
})

# Register models
api.register_model(User)
api.register_model(Post)

# Create routes
router = Router(prefix="/users")

@router.get("/")
async def list_users() -> list[User]:
    return await User.all()

@router.get("/{id}")
async def get_user(id: int) -> User | None:
    return await User.find(id)

api.register_router(router)

# Run
if __name__ == "__main__":
    api.run(mode="hybrid")  # REST + GraphQL

📚 Documentation

Full documentation available at docs/README.md with learning paths and guides:

Getting Started

• Installation & Setup - Installation methods (pip, clone, Poetry)
• Quick Start Tutorial - Build your first API in 5 minutes

Core Concepts

• Models & Data - Define models with relationships
• REST Routing - Create REST endpoints
• Database Configuration - All supported databases
• GraphQL - GraphQL schema and queries

Advanced Topics

• Middleware & Authentication - Security and authorization
• Dependency Injection - Service management
• Developer Guide - Architecture and testing

Contributing & Deployment

• Contributing Guide - How to contribute to Guaro
• Development Setup - Local development environment
• Publishing Guide - Deploying to PyPI
• Changelog - Version history and roadmap

🛠️ To Get Started

1. Users: Follow the Installation & Setup guide
2. Developers: See Development Setup for cloning and local setup
3. Contributors: Read Contributing Guide and Developer Guide/ ├── middleware/ └── guaro/

## Quick start

```bash
python -m pip install -e .
python app.py

Example usage

from guaro import API, Model, Router, permission, require_auth


class User(Model):
    id: int
    name: str
    email: str


router = Router(prefix="/users")


@router.get("/")
@require_auth
def get_users():
    return User.all()


api = API()
api.register_model(User)
api.register_router(router)
api.run(mode="hybrid")

Database Configuration

Guaro supports fully externalized, environment-driven database configuration. Configuration is decoupled from application code and can be environment-specific (dev/staging/prod).

Configuration Patterns

Pattern 1: Default Configuration (Automatic SQLite)

Works out of the box with zero configuration:

from guaro import API

api = API()  # Automatically uses sqlite+aiosqlite:///guaro.db
api.run()

Pattern 2: Inline Configuration

Convenient for quick prototypes and testing:

from guaro import API, DatabaseEngine

api = API(
    database={
        "url": "sqlite+aiosqlite:///local.db",
        "engine": DatabaseEngine.SQLITE,
        "auto_migrate": True,
        "pool_size": 2,
        "echo": True,
    }
)
api.run()

Pattern 3: External Configuration (Recommended)

Production-grade pattern — configuration is isolated from application code:

config.py:

from guaro import DatabaseEngine

# Development
dev_config = {
    "url": "sqlite+aiosqlite:///guaro_dev.db",
    "engine": DatabaseEngine.SQLITE,
    "auto_migrate": True,
}

# Staging
staging_config = {
    "url": "postgresql+asyncpg://user:[e-mail]/guaro_staging",
    "engine": DatabaseEngine.POSTGRESQL,
    "auto_migrate": True,
    "pool_size": 10,
}

# Production
prod_config = {
    "url": "postgresql+asyncpg://user:[e-mail]/guaro_prod",
    "engine": DatabaseEngine.POSTGRESQL,
    "auto_migrate": False,  # Migrations run separately
    "pool_size": 20,
}

# Load based on environment
import os
environment = os.getenv("ENVIRONMENT", "dev")
database_config = locals()[f"{environment}_config"]

app.py:

from guaro import API
from config import database_config

api = API(database=database_config)
api.run()

Configuration Options

Option	Type	Default	Description
url	str	"sqlite+aiosqlite:///guaro.db"	Database connection URL
engine	DatabaseEngine	inferred from URL or SQLITE	Database engine type
auto_migrate	bool	True	Run migrations automatically on startup
pool_size	int	5	Connection pool size
pool_pre_ping	bool	True	Test connections before use
echo	bool	False	Log all SQL statements
timeout	int	30	Connection timeout in seconds
extra	dict	{}	Engine-specific options

Supported Engines

from guaro import DatabaseEngine

DatabaseEngine.SQLITE      # SQLite (default)
DatabaseEngine.POSTGRESQL # PostgreSQL
DatabaseEngine.MYSQL      # MySQL
DatabaseEngine.MONGODB    # MongoDB
DatabaseEngine.MEMORY     # In-memory cache

URL Format

Guaro normalizes URLs into transport strings that are passed to adapters. The engine determines how the URL is interpreted:

• SQLite: sqlite+aiosqlite:///path/to/db.db
• PostgreSQL: postgresql+asyncpg://user:pass@host:port/dbname
• MySQL: mysql+aiomysql://user:pass@host:port/dbname
• MongoDB: mongodb://user:pass@host:port/dbname
• Custom: https://db.api.company.com/api (engine must be specified)

Environment-Based Configuration

For multi-environment deployments:

# Development (automatic SQLite)
python app.py

# Staging environment
export ENVIRONMENT=staging
python app.py

# Production environment
export ENVIRONMENT=prod
python app.py

In config.py:

import os

environment = os.getenv("ENVIRONMENT", "dev")
database_config = locals()[f"{environment}_config"]

Advanced Configuration

With extra options for engine-specific settings:

database_config = {
    "url": "postgresql+asyncpg://user@localhost/guaro",
    "engine": DatabaseEngine.POSTGRESQL,
    "pool_size": 15,
    "pool_pre_ping": True,
    "echo": False,
    "timeout": 45,
    "extra": {
        "ssl": "require",
        "application_name": "guaro_api",
        "statement_cache_size": 100,
    },
}

This repository contains a production-oriented MVP architecture, not a finished distributed system. The implementation focuses on:

• unified metadata registration
• shared execution and planning
• automatic REST and GraphQL generation
• request-scoped batching and caching hooks

Startup modes

• rest serves only REST routes
• graphql serves only GraphQL
• hybrid serves both simultaneously