Metadata-Version: 2.4
Name: duckdb-tinyorm-py
Version: 0.1.4
Summary: A tiny ORM for DuckDB
License: MIT
License-File: LICENSE
Keywords: duckdb,orm,tinyorm,database
Author: Naim Sulejmani
Author-email: naim.sulejmani@gmail.com
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Project-URL: Homepage, https://github.com/naimsulejmani/duckdb-tinyorm-py
Project-URL: Repository, https://github.com/naimsulejmani/duckdb-tinyorm-py
Description-Content-Type: text/markdown

# duckdb-tinyorm-py

[![PyPI version](https://badge.fury.io/py/duckdb-tinyorm-py.svg)](https://badge.fury.io/py/duckdb-tinyorm-py)

## Overview
`duckdb-tinyorm-py` is a lightweight ORM (Object-Relational Mapping) library designed to work seamlessly with DuckDB. It provides an elegant, Pythonic interface for defining entities, managing relationships, and performing database operations.

## Installation
You can install the library using pip:

```bash
pip install duckdb-tinyorm-py
```

For export functionality, install additional dependencies:

```bash
pip install pyarrow  # For Parquet export support
```

## Basic Usage

### Define an Entity
```python
from duckdb_tinyorm_py import entity, field, id_field

@entity(table_name="courses")
class Course:
    def __init__(self, id_=None, name="", department=""):
        self._id = id_
        self._name = name
        self._department = department

    @property
    @id_field('INTEGER', auto_increment=True)
    def id(self) -> int:
        return self._id
    
    @id.setter
    def id(self, value: int):
        self._id = value

    @property
    @field('VARCHAR', not_null=True)
    def name(self) -> str:
        return self._name
        
    @name.setter
    def name(self, value: str):
        self._name = value
        
    @property
    @field('VARCHAR', not_null=True)
    def department(self) -> str:
        return self._department
    
    @department.setter
    def department(self, value: str):
        self._department = value
```

### Create a Repository
```python
from duckdb_tinyorm_py import BaseRepository, repository, DuckDbConfig, DuckDbLocation

# Configure your database
config = DuckDbConfig(
    name='mydb',
    location=DuckDbLocation.FILE,
    filename='my_database.db'
)

@repository(Course)
class CourseRepository(BaseRepository[Course, int]):
    # Custom repository methods
    async def find_by_department(self, department):
        """Find courses by department"""
        return await self.find_by({"department": department})
```

### Use the Repository
```python
import asyncio

async def main():
    # Initialize repository and create table
    repo = CourseRepository()
    await repo.init()
    
    # Create and save entities
    course = Course(name="Python Programming", department="CS")
    saved = await repo.save(course)
    print(f"Saved course ID: {saved.id}")
    
    # Find entities
    all_courses = await repo.find_all()
    cs_courses = await repo.find_by_department("CS")
    
    # Update an entity
    course.name = "Advanced Python"
    updated = await repo.save(course)
    
    # Delete an entity
    await repo.remove(course)
    
    # Export to different formats
    df = repo.to_dataframe()
    json_data = await repo.to_json()
    await repo.to_parquet("courses.parquet")

# Run the async code
asyncio.run(main())
```

## Features
- Property-based entity mapping with type hints
- Auto-incrementing primary keys
- Advanced querying capabilities
- Transaction support
- Data export to DataFrame, JSON, CSV, and Parquet
- Support for table indices
- Connection pooling and configuration

## Advanced Features
See the `advanced_usage.py` file for examples of:
- Complex queries with pagination
- Filtering and sorting
- Transaction safety 
- Data imports/exports
- Custom repository methods

## Contributing
Contributions are welcome! Please feel free to submit a pull request or open an issue for any enhancements or bugs.

## License
This project is licensed under the MIT License. See the LICENSE file for more details.


Bye me a Caffee!
