πŸ›‘οΈ Safe Web Utils

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SQL to SQLModel Converter

Modernize your legacy database immediately. Convert raw CREATE TABLE statements into production-ready SQLModel classes for FastAPI. Our engine auto-detects Types, Primary Keys, Nullability, and even suggests Foreign Key relationships.

Secure Client-Side
The Evolution of ORMs

Why SQLModel is the "Silver Bullet" for FastAPI

Historically, Python web dev meant duplication. You defined your schema twice: once in SQLAlchemy (for the DB) and once in Pydantic (for the API). SQLModel unifies this.

❌ The Old Way (Duplication)

# 1. SQLAlchemy Model
class User(Base):
  id = Column(Integer, primary_key=True)
  name = Column(String)
# 2. Pydantic Schema
class UserCreate(BaseModel):
  name: str

βœ… The SQLModel Way (DRY)

# One Class to Rule Them All
class User(SQLModel, table=True):
  id: int | None = Field(primary_key=True)
  name: str

It acts as a Table AND a Validator. No more drift.

Under the Hood: How this Tool Works

We don't just find-and-replace strings. We parse the Semantic Intent of your SQL.

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Smart Typing

Converst VARCHAR(x) to str with max_length=x automatically, ensuring your API validator matches your DB constraint.

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Null Safety

Detects NOT NULL. If missing, it correctly types columns as Optional[str] (or str | None) to prevent runtime crashes.

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Relationship Hints

See a column named user_id? We auto-inject a # TODO: Foreign Key comment to remind you to link tables.

Pro Tips: Unlocking Full Power

πŸ”„ Zero-Config Migrations

Because SQLModel is SQLAlchemy, you can use Alembic's autogenerate feature out of the box.

$ alembic revision --autogenerate -m "init"

It reads your new `SQLModel` classes (generated above) and writes the SQL migration scripts for you.

πŸš€ Rust-Powered Speed

Under the hood, SQLModel uses Pydantic V2, which is rewritten in Rust.

This means parsing thousands of rows from your DB into Python objects is nearly instant, removing the traditional "ORM Slowness" tax.

The 5-Minute Migration Roadmap πŸ—ΊοΈ

STEP 1
Export SQL

Run pg_dump -s or SHOW CREATE TABLE to get your raw DDL.

STEP 2
Convert Here

Paste into this tool to get your pristine Python Models.

STEP 3
Update Code

Replace your SQLAlchemy Base classes with SQLModel.

STEP 4
Verify

Run your tests. Enjoy type safety and auto-completion!

Pattern Gallery: Handling Complex Types

See how we handle tricky database schemas that standard regex scripts often break on.

INPUT (SQL)
OUTPUT (Python)
username VARCHAR(50) NOT NULL UNIQUE
username: str = Field(max_length=50) # Pydantic handles validation
INPUT (SQL)
OUTPUT (Python)
metadata JSONB DEFAULT '{}'
metadata: dict | None = Field(default=None, sa_type=JSON)
INPUT (SQL)
OUTPUT (Python)
user_id INTEGER NOT NULL
user_id: int # TODO: ForeignKey to 'User'
INPUT (SQL)
OUTPUT (Python)
is_active BOOLEAN DEFAULT TRUE
is_active: bool | None = True

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