pygoose-odm 0.1.0

Async-first MongoDB ODM for Python, powered by Pydantic v2

Pygoose

An async-first MongoDB object-document mapper (ODM) for Python, inspired by Mongoose. Pygoose provides a clean, Pydantic-native API for working with MongoDB collections as typed Python classes.

Features

• Async-first: Built for async/await from the ground up using PyMongo's async client
• Pydantic-native: Use Pydantic v2 models directly as your documents
• Type-safe: Full type hints for queries, documents, and relationships
• QuerySet: Fluent, lazy query builder inspired by Django ORM
• References: Type-safe document references with automatic population
• Lifecycle hooks: Pre/post validation, save, delete, and update hooks
• Encryption: Field-level encryption for sensitive data
• Plugins: Built-in plugins for timestamps, soft delete, and audit trails
• FastAPI: First-class FastAPI integration with exception handlers and schema generation

Installation

pip install pygoose

Optional dependencies:

# For field-level encryption
pip install pygoose[encryption]

# For FastAPI integration
pip install pygoose[fastapi]

# For development
pip install pygoose[dev]

Quick start

Define your documents as Pydantic models:

from pygoose import Document
from typing import Optional

class User(Document):
    name: str
    email: str
    age: Optional[int] = None

Connect to MongoDB and perform CRUD operations:

import asyncio
from pygoose import connect, disconnect

async def main():
    # Connect to MongoDB
    await connect("mongodb://localhost:27017/my_database")

    # Create
    user = User(name="Alice", email="[e-mail]", age=30)
    await user.save()

    # Read
    user = await User.find_one({"email": "[e-mail]"})

    # Update
    user.age = 31
    await user.save()

    # Delete
    await user.delete()

    # Cleanup
    await disconnect()

asyncio.run(main())

Use the fluent QuerySet API:

# Find multiple documents
users = await User.find(age={"$gte": 18}).sort("name").limit(10).all()

# Count documents
count = await User.find(age={"$gte": 18}).count()

# Check existence
exists = await User.find({"email": "[e-mail]"}).exists()

FastAPI integration

Pygoose works seamlessly with FastAPI:

from fastapi import FastAPI
from pygoose import connect, disconnect, init_app

app = FastAPI()
init_app(app)

@app.on_event("startup")
async def startup():
    await connect("mongodb://localhost:27017/my_database")

@app.on_event("shutdown")
async def shutdown():
    await disconnect()

@app.post("/users")
async def create_user(user: User):
    await user.save()
    return user

@app.get("/users/{user_id}")
async def get_user(user_id: str):
    from bson import ObjectId
    user = await User.find_one({"_id": ObjectId(user_id)})
    return user

Documentation

Complete documentation is available in the /docs directory:

• Getting started — Installation and basic usage
• Core concepts — Documents, QuerySet, and references
• Advanced features — Hooks, encryption, and plugins
• API reference — Complete method documentation
• FastAPI integration — Building REST APIs
• Examples — Real-world patterns and use cases

Requirements

• Python 3.11 or higher
• MongoDB 4.4 or higher
• PyMongo 4.8 or higher (async driver)
• Pydantic v2 or higher

License

MIT