
py-sqlmodel-patterns
by aiskillstore
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SKILL.md
name: py-sqlmodel-patterns description: SQLModel and async SQLAlchemy patterns. Use when working with database models, queries, relationships, or debugging ORM issues.
SQLModel Patterns
Problem Statement
SQLModel combines Pydantic and SQLAlchemy, blurring the line between models and schemas. Async SQLAlchemy has different rules than sync. Mistakes here cause data corruption, N+1 queries, and hard-to-debug errors.
Pattern: Eager Loading for Async
Problem: Lazy loading doesn't work with async SQLAlchemy. Accessing relationships without eager loading raises errors.
# ❌ WRONG: Lazy loading fails in async
result = await session.execute(select(User).where(User.id == user_id))
user = result.scalar_one()
assessments = user.assessments # ERROR: greenlet_spawn has not been called
# ✅ CORRECT: selectinload for collections
from sqlalchemy.orm import selectinload
result = await session.execute(
select(User)
.where(User.id == user_id)
.options(selectinload(User.assessments))
)
user = result.scalar_one()
assessments = user.assessments # Works - already loaded
# ✅ CORRECT: joinedload for single relationships
from sqlalchemy.orm import joinedload
result = await session.execute(
select(Assessment)
.where(Assessment.id == assessment_id)
.options(joinedload(Assessment.user))
)
assessment = result.scalar_one()
user = assessment.user # Works - already loaded
When to use which:
| Relationship | Loading Strategy |
|---|---|
| One-to-many (collections) | selectinload() |
| Many-to-one (single) | joinedload() |
| Nested relationships | Chain: .options(selectinload(A.b).selectinload(B.c)) |
Pattern: N+1 Query Detection
Problem: Fetching related objects one-by-one instead of in batch.
# ❌ WRONG: N+1 queries
users = await session.execute(select(User))
for user in users.scalars():
# Each access triggers a query!
print(user.team.name) # Query 1, 2, 3... N
# ✅ CORRECT: Single query with eager loading
users = await session.execute(
select(User).options(joinedload(User.team))
)
for user in users.scalars():
print(user.team.name) # No additional queries
# Detection: Enable SQL echo in development
engine = create_async_engine(DATABASE_URL, echo=True)
# Watch logs for repeated similar queries
Pattern: Model vs Schema Separation
Problem: SQLModel blurs models (DB) and schemas (API). Need clear separation.
# Database Model - represents table
class User(SQLModel, table=True):
id: UUID = Field(default_factory=uuid4, primary_key=True)
email: str = Field(index=True, unique=True)
hashed_password: str # Never expose this
created_at: datetime = Field(default_factory=datetime.utcnow)
# Relationships
assessments: list["Assessment"] = Relationship(back_populates="user")
# API Schema - Create (input)
class UserCreate(SQLModel):
email: str
password: str # Plain password, will be hashed
# API Schema - Read (output)
class UserRead(SQLModel):
id: UUID
email: str
created_at: datetime
# Note: No password field!
# API Schema - Update (partial)
class UserUpdate(SQLModel):
email: str | None = None
password: str | None = None
Naming convention:
ModelName- Database table modelModelNameCreate- Input for creationModelNameRead- Output for readingModelNameUpdate- Input for partial updates
Pattern: Session State Management
Problem: Understanding expire_on_commit and when objects become stale.
# This codebase setting
async_session = async_sessionmaker(
engine,
expire_on_commit=False, # Objects stay valid after commit
)
# With expire_on_commit=False:
user = User(email="test@example.com")
session.add(user)
await session.commit()
print(user.email) # Works - object still valid
# With expire_on_commit=True (default):
await session.commit()
print(user.email) # Would need refresh() first
# ✅ CORRECT: Refresh when you need DB-generated values
await session.commit()
await session.refresh(user) # Get id, created_at, updated DB values
return user
Pattern: UUID Handling
Problem: Inconsistent UUID handling between Python and PostgreSQL.
from uuid import UUID, uuid4
# ✅ CORRECT: UUID with default factory
class Assessment(SQLModel, table=True):
id: UUID = Field(default_factory=uuid4, primary_key=True)
user_id: UUID = Field(foreign_key="user.id")
# ✅ CORRECT: UUID in queries
await session.execute(
select(Assessment).where(Assessment.id == UUID("..."))
)
# ❌ WRONG: String comparison
await session.execute(
select(Assessment).where(Assessment.id == "some-uuid-string")
)
# ✅ CORRECT: Converting in API layer
@router.get("/assessments/{assessment_id}")
async def get_assessment(assessment_id: UUID): # FastAPI converts string to UUID
...
Pattern: Nullable Fields
Problem: SQLModel requires specific syntax for optional fields.
# ✅ CORRECT: Optional field with None default
class Assessment(SQLModel, table=True):
id: UUID = Field(default_factory=uuid4, primary_key=True)
title: str # Required
description: str | None = Field(default=None) # Optional
completed_at: datetime | None = Field(default=None) # Optional
# Foreign key that's optional
coach_id: UUID | None = Field(default=None, foreign_key="user.id")
# ❌ WRONG: Optional without Field default
class BadModel(SQLModel, table=True):
description: str | None # Missing default - causes issues
Pattern: Relationship Definitions
from sqlmodel import Relationship
class User(SQLModel, table=True):
id: UUID = Field(default_factory=uuid4, primary_key=True)
# One-to-many: User has many assessments
assessments: list["Assessment"] = Relationship(back_populates="user")
# One-to-many: User has many answers
answers: list["UserAnswer"] = Relationship(back_populates="user")
class Assessment(SQLModel, table=True):
id: UUID = Field(default_factory=uuid4, primary_key=True)
user_id: UUID = Field(foreign_key="user.id")
# Many-to-one: Assessment belongs to user
user: User = Relationship(back_populates="assessments")
# One-to-many: Assessment has many questions
questions: list["Question"] = Relationship(back_populates="assessment")
class Question(SQLModel, table=True):
id: UUID = Field(default_factory=uuid4, primary_key=True)
assessment_id: UUID = Field(foreign_key="assessment.id")
# Many-to-one
assessment: Assessment = Relationship(back_populates="questions")
Pattern: Query Patterns
# Get one or None
result = await session.execute(
select(User).where(User.id == user_id)
)
user = result.scalar_one_or_none()
# Get one or raise
user = result.scalar_one() # Raises if 0 or >1 results
# Get list
result = await session.execute(
select(Assessment).where(Assessment.user_id == user_id)
)
assessments = result.scalars().all()
# Get with pagination
result = await session.execute(
select(Assessment)
.where(Assessment.user_id == user_id)
.order_by(Assessment.created_at.desc())
.offset(skip)
.limit(limit)
)
# Count
result = await session.execute(
select(func.count()).select_from(Assessment).where(...)
)
count = result.scalar_one()
# Exists check
result = await session.execute(
select(exists().where(User.email == email))
)
email_exists = result.scalar()
Pattern: Upsert (Insert or Update)
from sqlalchemy.dialects.postgresql import insert
# ✅ CORRECT: PostgreSQL upsert
stmt = insert(UserAnswer).values(
user_id=user_id,
question_id=question_id,
value=value,
)
stmt = stmt.on_conflict_do_update(
index_elements=["user_id", "question_id"],
set_={"value": value, "updated_at": datetime.utcnow()},
)
await session.execute(stmt)
await session.commit()
References
- SQLModel documentation: https://sqlmodel.tiangolo.com/
- SQLAlchemy 2.0 documentation: https://docs.sqlalchemy.org/
Common Issues
| Issue | Likely Cause | Solution |
|---|---|---|
| "greenlet_spawn has not been called" | Lazy loading in async | Use selectinload/joinedload |
| N+1 queries (slow) | Missing eager loading | Add appropriate loading strategy |
| "Object not bound to session" | Using object after session closed | Keep operations within session scope |
| Stale data | Missing refresh() | Call refresh() after commit |
| "None is not valid" for UUID | Missing default_factory | Add Field(default_factory=uuid4) |
Detection Commands
# Find lazy relationship access
grep -rn "\.scalars\(\)" --include="*.py" -A5 | grep -E "\.\w+\s*$"
# Find models missing relationship loading
grep -rn "select(" --include="*.py" | grep -v "options("
# Check for N+1 in logs (with echo=True)
# Look for repeated similar queries
Score
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