SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.
74
63%
Does it follow best practices?
Impact
94%
2.08xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./data/skills-md/0xdarkmatter/claude-mods/python-database-patterns/SKILL.mdSQLAlchemy 2.0 and database best practices.
from sqlalchemy import create_engine, select
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, Session
class Base(DeclarativeBase):
pass
class User(Base):
__tablename__ = "users"
id: Mapped[int] = mapped_column(primary_key=True)
name: Mapped[str] = mapped_column(String(100))
email: Mapped[str] = mapped_column(String(255), unique=True)
is_active: Mapped[bool] = mapped_column(default=True)
# Create engine and tables
engine = create_engine("postgresql://user:pass@localhost/db")
Base.metadata.create_all(engine)
# Query with 2.0 style
with Session(engine) as session:
stmt = select(User).where(User.is_active == True)
users = session.execute(stmt).scalars().all()from sqlalchemy.ext.asyncio import (
AsyncSession,
async_sessionmaker,
create_async_engine,
)
from sqlalchemy import select
# Async engine
engine = create_async_engine(
"postgresql+asyncpg://user:pass@localhost/db",
echo=False,
pool_size=5,
max_overflow=10,
)
# Session factory
async_session = async_sessionmaker(engine, expire_on_commit=False)
# Usage
async with async_session() as session:
result = await session.execute(select(User).where(User.id == 1))
user = result.scalar_one_or_none()from sqlalchemy import ForeignKey
from sqlalchemy.orm import relationship, Mapped, mapped_column
class User(Base):
__tablename__ = "users"
id: Mapped[int] = mapped_column(primary_key=True)
name: Mapped[str]
# One-to-many
posts: Mapped[list["Post"]] = relationship(back_populates="author")
class Post(Base):
__tablename__ = "posts"
id: Mapped[int] = mapped_column(primary_key=True)
title: Mapped[str]
author_id: Mapped[int] = mapped_column(ForeignKey("users.id"))
# Many-to-one
author: Mapped["User"] = relationship(back_populates="posts")from sqlalchemy import select, and_, or_, func
# Basic select
stmt = select(User).where(User.is_active == True)
# Multiple conditions
stmt = select(User).where(
and_(
User.is_active == True,
User.age >= 18
)
)
# OR conditions
stmt = select(User).where(
or_(User.role == "admin", User.role == "moderator")
)
# Ordering and limiting
stmt = select(User).order_by(User.created_at.desc()).limit(10)
# Aggregates
stmt = select(func.count(User.id)).where(User.is_active == True)
# Joins
stmt = select(User, Post).join(Post, User.id == Post.author_id)
# Eager loading
from sqlalchemy.orm import selectinload
stmt = select(User).options(selectinload(User.posts))from fastapi import Depends, FastAPI
from sqlalchemy.ext.asyncio import AsyncSession
from typing import Annotated
async def get_db() -> AsyncGenerator[AsyncSession, None]:
async with async_session() as session:
yield session
DB = Annotated[AsyncSession, Depends(get_db)]
@app.get("/users/{user_id}")
async def get_user(user_id: int, db: DB):
result = await db.execute(select(User).where(User.id == user_id))
user = result.scalar_one_or_none()
if not user:
raise HTTPException(status_code=404)
return user| Operation | SQLAlchemy 2.0 Style |
|---|---|
| Select all | select(User) |
| Filter | .where(User.id == 1) |
| First | .scalar_one_or_none() |
| All | .scalars().all() |
| Count | select(func.count(User.id)) |
| Join | .join(Post) |
| Eager load | .options(selectinload(User.posts)) |
./references/sqlalchemy-async.md - Async patterns, session management./references/connection-pooling.md - Pool configuration, health checks./references/transactions.md - Transaction patterns, isolation levels./references/migrations.md - Alembic setup, migration strategies./assets/alembic.ini.template - Alembic configuration templatePrerequisites:
python-typing-patterns - Mapped types and annotationspython-async-patterns - Async database sessionsRelated Skills:
python-fastapi-patterns - Dependency injection for DB sessionspython-pytest-patterns - Database fixtures and testingf772de4
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.