lansuSql 0.2.0

Uma biblioteca robusta de repositórios genéricos combinando SQLAlchemy e Pydantic.

lansuSql

A robust, fully-typed Generic Repository library for Python, bridging the gap between SQLAlchemy and Pydantic.

Say goodbye to repetitive database queries. lansuSql provides an elegant, Django-style ORM experience for your FastAPI/SQLAlchemy projects, complete with dynamic filtering and native DTO support.

pip install lansuSql

Features

• CRUD Out-of-the-Box: Standard methods for creating, reading, updating, and deleting records without writing repetitive SQLAlchemy statements.
• Django-style Dynamic Filters: Query your database intuitively using operators like __gt, __lt, __gte, __in, __nin, __like, and more (e.g., repo.find_by(age__gt=18)).
• Native Pydantic Support: Pass Pydantic DTOs directly to create and update methods. The repository handles the conversion and data extraction automatically.
• Fully Typed: Built with Python typing and Generic types. Enjoy perfect IDE autocompletion and static type checking.
• Zero Coupling: Keeps your business logic (Services/Controllers) completely independent from SQLAlchemy's Session mechanics.
• Safer Defaults: Invalid filters and update fields raise clear errors by default, preventing accidental broad queries.

📦 Installation

pip install lansuSql

Quick Start

1. Define your SQLAlchemy Model

from sqlalchemy import Column, Integer, String, Boolean  
from sqlalchemy.orm import declarative_base

Base = declarative_base()

class User(Base):
    __tablename__ = "users"
    
    id = Column(Integer, primary_key=True, autoincrement=True)
    name = Column(String)
    age = Column(Integer)
    is_active = Column(Boolean, default=True)

2. Create a Repository for your Model

from lansuSql import BaseRepository

class UserRepository(BaseRepository[User]):
    # You can add custom methods here if needed, 
    # but all standard CRUD operations are inherited automatically!
    pass 

3. Use it in your Application (e.g., FastAPI)

from fastapi import Depends
from sqlalchemy.orm import Session
from .database import get_db

# Example Pydantic DTO
from pydantic import BaseModel
class UserCreateDTO(BaseModel):
    name: str
    age: int

def create_user(dto: UserCreateDTO, db: Session = Depends(get_db)):
    repo = UserRepository(model=User, session=db)
    
    # Pass the DTO directly! 
    # Auto-commit=True saves it to the database immediately.
    new_user = repo.create(dto, auto_commit=True)
    return new_user

Dynamic Filtering (find_by) The crown jewel of lansuSql is its dynamic filtering capability. You can use magic operators to build complex queries effortlessly:

repo = UserRepository(User, db)

# Find exact matches
admins = repo.find_by(is_active=True, role="ADMIN")

# Find with operators (Greater than)
adults = repo.find_by(age__gt=18)

# Find with multiple conditions (Less than or equal + Exact match)
young_actives = repo.find_by(age__lte=25, is_active=True)

# Find in a list of values
selected_users = repo.find_by(id__in=[1, 5, 10])

# Exclude values
non_admins = repo.find_by(role__nin=["ADMIN", "OWNER"])

# Search text
matching_users = repo.find_by(name__ilike="tiago")

Pagination and Ordering

# Order ascending by age
users = repo.list_all(order_by="age")

# Order descending by created_at
recent_users = repo.find_by(is_active=True, order_by="-created_at")

# Limit and offset
page = repo.find_by(is_active=True, order_by="-created_at", limit=20, offset=40)

By default, invalid fields and operators raise ValueError. If you need the old permissive behavior, pass strict=False to find_by, first_by, count, or exists.

🔍 Supported Operators:

• __eq: Equal (Default if no operator is passed)
• __neq: Not equal
• __gt: Greater than
• __gte: Greater than or equal to
• __lt: Less than
• __lte: Less than or equal to
• __in: In a given list
• __nin: Not in a given list
• __like: SQL LIKE with %value%
• __ilike: Case-insensitive SQL LIKE with %value%

🛠️ API Reference:

• get_by_id(id): Retrieves a single record by its primary key.
• list_all(limit=None, offset=None, order_by=None): Retrieves records in the table, optionally ordered and paginated.
• find_by(**kwargs): Returns records matching dynamic filters. Supports limit, offset, order_by, and strict.
• first_by(**kwargs): Returns the first record matching dynamic filters.
• count(**kwargs): Counts records matching dynamic filters.
• exists(**kwargs): Returns True when at least one record matches dynamic filters.
• create(obj_in, auto_commit=False): Creates a new record from a dict or Pydantic DTO.
• update(instance, obj_in, auto_commit=False, strict=True): Updates an existing record using a dict or Pydantic DTO. Ignores unset Pydantic fields automatically.
• delete(instance, auto_commit=False): Deletes the record from the database.
• save(instance, auto_commit=False): Manually adds and commits an SQLAlchemy instance to the session.

🧪 Running Tests

The library is fully tested using pytest and an in-memory SQLite database to ensure reliability.

pip install -e ".[dev]"
pytest -v

📄 License

This project is licensed under the MIT License.