Python database patterns
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SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.
SKILL.md
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Python Database Patterns
SQLAlchemy 2.0 and database best practices.
SQLAlchemy 2.0 Basics
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()
Async SQLAlchemy
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()
Model Relationships
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")
Common Query Patterns
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))
FastAPI Integration
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
Quick Reference
| 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)) |
Additional Resources
./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
./assets/alembic.ini.template- Alembic configuration template
See Also
Prerequisites:
python-typing-patterns- Mapped types and annotationspython-async-patterns- Async database sessions
Related Skills:
python-fastapi-patterns- Dependency injection for DB sessionspython-pytest-patterns- Database fixtures and testing