Metadata-Version: 2.4
Name: ormantism
Version: 0.1
Summary: A lightweight SQLite ORM built on Pydantic for simple CRUD operations with minimal code
Author: Mathieu Rodic
License: MIT
Project-URL: Homepage, https://github.com/mathieurodic/ormantism
Keywords: orm,sqlite
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENCE
Requires-Dist: pydantic>=2.11.7
Requires-Dist: pydantic_core>=2.33.2
Dynamic: license-file

# Ormantism

A tiny, simple ORM for SQLite built on top of Pydantic.

When you need to perform simple CRUD operations with minimal code.

## Features

- **Simple Model Declaration**: Define your models using familiar Pydantic syntax
- **Automatic Table Creation**: Tables are created automatically when first accessed
- **Lazy Loading**: Relationships are loaded on-demand for optimal performance
- **Transaction Support**: Built-in transaction management with automatic rollback
- **Preloading**: Efficiently load related data with JOIN queries
- **Optional Timestamps**: Add created_at, updated_at, deleted_at fields automatically
- **SQLite Only**: Focused on SQLite for simplicity and reliability

## Installation

```bash
pip install ormantism
```

## Quick Start

### 1. Connect to Database

```python
import ormantism

# Connect to a file database
ormantism.connect("my_app.db")

# Or use in-memory database for testing
ormantism.connect(":memory:")
```

### 2. Define Models

```python
from ormantism import Base
from typing import Optional

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

class Post(Base, with_timestamps=True):
    title: str
    content: str
    author: User
```

### 3. Create and Save Records

```python
# Create a user
user = User(name="Alice", email="alice@example.com", age=30)
# The record is automatically saved to the database

# Create a post linked to the user
post = Post(title="My First Post", content="Hello World!", author=user)
```

### 4. Query Records

```python
# Load by ID
user = User.load(id=1)

# Load by criteria
user = User.load(name="Alice")
user = User.load(email="alice@example.com")

# Load latest post from alice@example.com
latest_post = Post.load(user_id=user.id, last_created=True)

# Load all records
users = User.load_all()

# Load with criteria
users_named_alice = User.load_all(name="Alice")
```

### 5. Update Records

```python
user = User.load(id=1)
user.age = 31  # Automatically saved to database
# or
user.update(age=31, email="alice.updated@example.com")
```

### 6. Delete Records

```python
user = User.load(id=1)
user.delete()
```

## Advanced Features

### Timestamps

Add automatic timestamp tracking to your models:

```python
class Post(Base, with_timestamps=True):
    title: str
    content: str
```

This adds `created_at`, `updated_at`, and `deleted_at` fields. Soft deletes are used when timestamps are enabled.

### Relationships and Lazy Loading

```python
class Author(Base):
    name: str

class Book(Base):
    title: str
    author: Author

# Create records
author = Author(name="Jane Doe")
book = Book(title="My Book", author=author)

# Lazy loading - author is loaded from DB when accessed
book = Book.load(id=1)
print(book.author.name)  # Database query happens here
```

### Preloading (Eager Loading)

Avoid N+1 queries by preloading relationships:

```python
# Load book with author in a single query
book = Book.load(id=1, preload="author")
print(book.author.name)  # No additional database query

# Preload nested relationships
book = Book.load(id=1, preload="author.publisher")

# Preload multiple relationships
book = Book.load(id=1, preload=["author", "category"])
```

### Transactions

```python
from ormantism import transaction

try:
    with transaction() as t:
        user1 = User(name="Alice", email="alice@example.com")
        user2 = User(name="Bob", email="bob@example.com")
        # Both users are saved automatically
        # Transaction commits when exiting the context
except Exception:
    # Transaction is automatically rolled back on any exception
    pass
```

### Querying Examples

```python
# Load single record
user = User.load(name="Alice")
latest_user = User.load(last_created=True)

# Load multiple records
all_users = User.load_all()
users_named_alice = User.load_all(name="Alice")

# Include soft-deleted records (when using timestamps)
all_including_deleted = User.load_all(with_deleted=True)
```

## Model Definition

### Basic Model

```python
class User(Base):
    name: str
    email: str
    age: int = 25  # Default value
    bio: Optional[str] = None  # Nullable field
```

### With Timestamps

```python
class Post(Base, with_timestamps=True):
    title: str
    content: str
    # Automatically adds: created_at, updated_at, deleted_at
```

### Supported Field Types

- `int`, `float`, `str`
- `Optional[T]` for nullable fields
- `list`, `dict` (stored as JSON)
- `datetime.datetime`
- `enum.Enum`
- Pydantic models (stored as JSON)
- References to other Base models

### Relationships

```python
class Category(Base):
    name: str

class Post(Base):
    title: str
    category: Category  # Foreign key relationship
    tags: Optional[Category] = None  # Nullable relationship
```

## API Reference

### Base Class Methods

#### Creating Records
- `Model()` - Create and automatically save a new record

#### Querying
- `Model.load(**criteria)` - Load single record
- `Model.load(last_created=True)` - Load most recently created record
- `Model.load_all(**criteria)` - Load multiple records
- `Model.load(preload="relationship")` - Eager load relationships
- `Model.load(with_deleted=True)` - Include soft-deleted records

#### Updating
- `instance.update(**kwargs)` - Update multiple fields
- `instance.field = value` - Update single field (auto-saves)

#### Deleting
- `instance.delete()` - Delete record (soft delete if timestamps enabled)

### Database Functions

- `ormantism.connect(database_url)` - Connect to database
- `ormantism.transaction()` - Get transaction context manager

## Limitations

- **SQLite Only**: This ORM is designed specifically for SQLite databases
- **Simple Queries**: Complex queries may require raw SQL
- **No Migrations**: Schema changes require manual handling
- **Basic Relationships**: Only supports simple foreign key relationships

## Requirements

- Python 3.12+
- Pydantic

## License

MIT License

## Contributing

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