lightodm 0.2.0

Lightweight MongoDB ODM - Simple async/sync Object-Document Mapper for MongoDB

LightODM

Lightweight MongoDB ODM - A simple, fast Object-Document Mapper for MongoDB with full async/sync support.

LightODM is a minimal alternative to Beanie that provides essential ODM functionality without the complexity. Built on Pydantic v2, PyMongo, and Motor.

Features

• Dual Mode: Full support for both sync (PyMongo) and async (Motor) operations
• Lightweight: Zero dependencies beyond Pydantic, PyMongo, and Motor
• Type Safe: Full type hints with py.typed marker
• Pydantic v2: Built on Pydantic v2 for robust validation
• Simple API: Clean, intuitive interface similar to Beanie
• Flexible: Optional connection - override get_collection() for custom setups
• Thread Safe: Singleton connection manager with automatic cleanup

Installation

pip install lightodm

Quick Start

Define Your Models

from lightodm import MongoBaseModel
from typing import Optional

class User(MongoBaseModel):
    class Settings:
        name = "users"  # MongoDB collection name

    name: str
    email: str
    age: Optional[int] = None

Environment Setup

Set your MongoDB connection via environment variables:

export MONGO_URL="mongodb://localhost:27017"
export MONGO_USER="your_user"
export MONGO_PASSWORD="your_password"
export MONGO_DB_NAME="your_database"

Sync Usage

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

# Retrieve by ID
user = User.get("some_id")

# Find documents
users = User.find({"age": {"$gte": 18}})
adult_user = User.find_one({"age": {"$gte": 18}})

# Update
User.update_one({"name": "John Doe"}, {"$set": {"age": 31}})

# Delete
user.delete()
User.delete_many({"age": {"$lt": 18}})

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

# Aggregation
pipeline = [{"$group": {"_id": "$age", "count": {"$sum": 1}}}]
results = User.aggregate(pipeline)

Async Usage

# Create and save
user = User(name="Jane Doe", email="[e-mail]", age=25)
await user.asave()

# Retrieve by ID
user = await User.aget("some_id")

# Find documents
users = await User.afind({"age": {"$gte": 18}})
adult_user = await User.afind_one({"age": {"$gte": 18}})

# Iterate over large result sets
async for user in User.afind_iter({"age": {"$gte": 18}}):
    print(user.name)

# Update
await User.aupdate_one({"name": "Jane Doe"}, {"$set": {"age": 26}})

# Delete
await user.adelete()
await User.adelete_many({"age": {"$lt": 18}})

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

# Aggregation
pipeline = [{"$group": {"_id": "$age", "count": {"$sum": 1}}}]
results = await User.aaggregate(pipeline)

Advanced Usage

Custom ID Generation

from lightodm import MongoBaseModel, generate_id

class Product(MongoBaseModel):
    class Settings:
        name = "products"

    # Custom ID (default uses ObjectId)
    id: str = None

    name: str
    sku: str

# Default uses ObjectId
product = Product(name="Widget", sku="WDG-001")
print(product.id)  # Generated ObjectId string

Composite Keys

For multi-tenant applications or when you need deterministic IDs based on multiple fields, use composite keys:

from lightodm import MongoBaseModel

class TenantUser(MongoBaseModel):
    class Settings:
        name = "tenant_users"
        composite_key = ["tenant_id", "user_id"]  # Order matters

    tenant_id: str
    user_id: str
    data: str

# ID is computed as MD5 hash of concatenated field values
user = TenantUser(tenant_id="tenant1", user_id="user1", data="test")
print(user.id)  # e.g., "a1b2c3..." - always the same for same tenant_id + user_id

# Same values always produce the same ID (idempotent)
user2 = TenantUser(tenant_id="tenant1", user_id="user1", data="different")
assert user.id == user2.id  # True - composite key only uses specified fields

Composite key behavior:

• Field order in composite_key list determines concatenation order
• All composite key fields must have non-None values
• Composite key takes precedence over explicitly provided IDs
• Produces a 32-character hexadecimal MD5 hash

Custom Connection

Override get_collection() or get_async_collection() for custom connection logic:

class CustomUser(MongoBaseModel):
    class Settings:
        name = "custom_users"

    name: str

    @classmethod
    def get_collection(cls):
        # Your custom connection logic
        from pymongo import MongoClient
        client = MongoClient("mongodb://custom-host:27017")
        return client["custom_db"]["custom_users"]

Extra Fields

LightODM supports Pydantic's extra='allow' for dynamic fields:

user = User(name="John", email="[e-mail]", custom_field="value")
user.save()  # custom_field is preserved in MongoDB

Bulk Operations

# Sync
users = [
    User(name="User 1", email="[e-mail]"),
    User(name="User 2", email="[e-mail]"),
]
ids = User.insert_many(users)

# Async
ids = await User.ainsert_many(users)

LightODM vs Beanie

Feature	LightODM	Beanie
Dependencies	Pydantic, PyMongo, Motor	Pydantic, PyMongo, Motor, lazy-model, toml
Initialization	Environment variables	init_beanie() required
Sync Support	✅ Full	❌ Async only
Async Support	✅ Full	✅ Full
Connection	Optional singleton	Required initialization
Learning Curve	Low	Medium
Code Size	~500 lines	~5000+ lines
Use Case	Simple projects, microservices	Complex applications
Relations	Manual (MongoDB refs)	Built-in with Link
Migrations	Manual	Manual
Indexes	Manual	Automatic
Validation	Pydantic v2	Pydantic v2
Type Safety	✅ Full	✅ Full

Choose LightODM if:

• You want a simple, lightweight ODM
• You need both sync and async support
• You prefer minimal dependencies
• You want control over connection management
• You're building microservices or simple applications

Choose Beanie if:

• You need built-in relations and document links
• You want automatic index management
• You prefer async-first design
• You're building complex applications with many models

API Reference

MongoBaseModel

Base class for MongoDB document models.

Sync Methods

• save(exclude_none=False) -> str - Save/upsert document
• delete() -> bool - Delete document
• get(id) -> Optional[T] - Get by ID
• find_one(filter, **kwargs) -> Optional[T] - Find single document
• find(filter, **kwargs) -> List[T] - Find multiple documents
• find_iter(filter, **kwargs) -> Iterator[T] - Iterate over results
• count(filter=None) -> int - Count documents
• update_one(filter, update, upsert=False) -> bool - Update single document
• update_many(filter, update) -> int - Update multiple documents
• delete_one(filter) -> bool - Delete single document
• delete_many(filter) -> int - Delete multiple documents
• aggregate(pipeline, **kwargs) -> List[dict] - Run aggregation pipeline
• insert_many(documents) -> List[str] - Insert multiple documents

Async Methods

All sync methods have async equivalents prefixed with a:

• asave(), adelete(), aget(), afind_one(), afind(), afind_iter(), acount(),
• aupdate_one(), aupdate_many(), adelete_one(), adelete_many(),
• aaggregate(), ainsert_many()

Connection Functions

from lightodm import (
    get_mongo_connection,
    get_collection,
    get_database,
    get_client,
    get_async_database,
    get_async_client,
)

# Get singleton connection
conn = get_mongo_connection()

# Sync helpers
collection = get_collection("users")
db = get_database()
client = get_client()

# Async helpers
db = await get_async_database()
client = await get_async_client()

Development

# Clone repository
git clone https://github.com/Aprova-GmbH/lightodm.git
cd lightodm

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black src tests
ruff check src tests --fix

# Type checking
mypy src

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

Apache License 2.0 - see LICENSE file for details.

Author

Andrey Vykhodtsev - [e-mail]

Links

• Repository: https://github.com/Aprova-GmbH/lightodm
• Issues: https://github.com/Aprova-GmbH/lightodm/issues