A simple ORM-like interface for DynamoDB using Pydantic models
Project description
Python DynamoDB ORM
A lightweight and type-safe wrapper for AWS DynamoDB with Pydantic integration.
Features
- Type-safe DynamoDB operations using Pydantic models
- Support for CRUD operations (Create, Read, Update, Delete)
- Query filtering and conditional operations
- Clean and intuitive API design
- Comprehensive error handling
Installation
git clone https://github.com/leehjhjhj/dynamodb-model
uv sync
Quick Start
from pydantic import BaseModel, Field
from datetime import datetime
from typing import Optional
# Define your model
class UserModel(BaseModel):
user_id: str = Field(alias='partition_key')
email: str = Field(alias='sort_key')
name: str
age: int
created_at: datetime = Field(default_factory=datetime.now)
updated_at: Optional[datetime] = None
# Initialize DynamoDB wrapper
user_db = DynamoDBModel[UserModel](
table_name='users',
model_class=UserModel
)
# Create a new user
new_user = UserModel(
user_id="user123",
email="user@example.com",
name="John Doe",
age=30
)
user_db.put(new_user)
# Get user
user = user_db.get("user123", "user@example.com")
# Query users
users = user_db.query(
partition_key="user123",
sort_key_condition={
"operator": "begins_with",
"value": "user"
}
)
Requirements
- Python 3.7+
- boto3
- pydantic
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Project details
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