graftql 2.0.4

SQLModel in, typed GraphQL out.

GraftQL turns your SQLModel definitions into a fully-typed GraphQL API — no schema duplication, no glue code.

Overview

GraftQL lets you define your data models once (as GraftModel subclasses) and get a fully-typed GraphQL API automatically — no schema duplication, no glue code. It layers on top of SQLModel for the ORM and Strawberry for the GraphQL schema. Mount GraftRouter in any FastAPI app and your models are immediately queryable and mutable over GraphQL — including paginated connections, filters, ordering, and fine-grained permission hooks.

Async (SQLAlchemy async engines) and sync engines are both supported, and multiple database engines can be registered under different names for multi-tenant or federated setups.

Features

• Single model class — extend GraftModel instead of both SQLModel and a Strawberry type.
• Auto GraphQL schema — queries, mutations (PUT / DELETE), and paginated connections generated automatically.
• DataLoaders — declare relations with Dl and ManyRelation; N+1 queries solved out of the box.
• Composable filters — date ranges, ordering, and custom filter attributes, all typed.
• Permission hooks — override permission_getter per-model or supply a global get_permission function.
• Async support — pass an async SQLAlchemy engine and GraftQL handles the rest.
• Multi-engine — register multiple engines by name; each model picks its engine via __enginename__.
• Federation-ready — Strawberry federation directives can be applied through the schema DSL.

Installation

pip install graftql

Quick Start

from datetime import date

from fastapi import FastAPI
from sqlmodel import create_engine

from graftql import Field, GraftModel, GraftRouter

# 1. Define your models — once. No separate Pydantic/Strawberry types needed.
class Student(GraftModel, table=True):
    id: int | None = Field(primary_key=True, default=None)
    name: str
    birth_date: date

# 2. Create tables and mount the router.
engine = create_engine("sqlite:///./dev.db")
GraftModel.metadata.create_all(engine)

app = FastAPI()
router = GraftRouter(
    engine=engine,
    enable_put_mutations=True,
    enable_delete_mutations=True,
)
app.include_router(router, prefix="/graphql")

# 3. Run:  uvicorn main:app --reload
#    Visit: http://localhost:8000/graphql

You can now run queries like:

mutation {
  students {
    put(input: { name: "Alice", birthDate: "2000-01-01" }) { id }
  }
}

query {
  students {
    many { edges { node { id name birthDate } } }
  }
}

Documentation

See the documentation for the full guide including relations, DataLoaders, authentication, async engines, and federation.

Contributing

1. Fork lorrod/graftql.
2. Create a feature branch: git checkout -b feat/my-change.
3. Make your changes and add tests.
4. Run the checks: uv run --group dev ruff check . && uv run --group dev pytest.
5. Open a pull request.

All contributions are welcome — bug reports, documentation fixes, and new features alike.

License

MIT — see LICENSE.