strawberry-chemist 0.2.3

Strawberry GraphQL helpers for SQLAlchemy models.

strawberry-chemist

Explicit GraphQL types. Smart SQLAlchemy loading.

• mapped fields
• computed fields
• scoped relationships
• queryable connections
• filters and ordering
• relay IDs
• node lookup
• selection-aware dataloading

strawberry-chemist helps expose SQLAlchemy models through Strawberry without turning your GraphQL schema into generated magic.

The package is intentionally explicit. You still write the Strawberry types you want clients to see. That keeps the DTO layer visible, keeps the public contract adaptable, and fits production codebases that care about query shape, permissions, loading behavior, and long-term schema maintenance.

That explicitness does not mean giving up performance. Chemist-managed relationship and connection fields are selection-aware and dataloader-backed, so you can keep explicit DTOs without falling into per-parent N+1 loading.

Installation

pip install strawberry-chemist

What It Looks Like

Computed field from selected columns:

import strawberry_chemist as sc


@sc.type(model=BookModel)
class Book:
    @sc.field(select=["title", "isbn"])
    def title_with_isbn(self, title: str, isbn: str) -> str:
        return f"{title} ({isbn})"

Queryable relationship-backed connection:

import strawberry_chemist as sc


@sc.type(model=AuthorModel)
class Author:
    books: sc.Connection[Book] = sc.connection(
        source="books",
        filter=BookFilter,
        order=BookOrder,
        pagination=sc.CursorPagination(max_limit=20),
    )

Server-scoped relationship-backed field:

import strawberry_chemist as sc
from strawberry_chemist.gql_context import context_var


@sc.type(model=BookModel)
class Book:
    @sc.relationship(
        "bookmarks",
        where=lambda: BookmarkModel.user_id == context_var.get().current_user_id,
        select=["id"],
    )
    def is_bookmarked(self, bookmarks: list[BookmarkModel]) -> bool:
        return bool(bookmarks)

Note: current_user_id is up to you to implement, the package doesn't ship auth.

Your GraphQL context must provide a get_session() async context manager that returns a SQLAlchemy AsyncSession.

Public docs

The public docs live in docs/. The published site is intended for GitHub Pages and is built with MkDocs.

Useful entrypoints:

• Overview
• Getting Started
• API Surface
• Examples

Serve the docs locally:

uv sync --group dev
uv run mkdocs serve

Build the docs locally:

uv run mkdocs build --strict

Runnable examples

Serve a seeded sample schema locally:

uv sync --group dev
make example-serve EXAMPLE=03_connections_filters_and_ordering PORT=8000

The contract examples tests under examples/ can run in two modes.

Against the current checkout:

make example-test EXAMPLE=03_connections_filters_and_ordering

Against the pinned published package:

make example-test-published EXAMPLE=03_connections_filters_and_ordering

Print a sample schema:

make example-schema EXAMPLE=03_connections_filters_and_ordering

If you want to force published-mode testing against a locally built distribution, point the script at a build output directory:

uv run python -m build --outdir /tmp/strawberry-chemist-dist
STRAWBERRY_CHEMIST_FIND_LINKS=/tmp/strawberry-chemist-dist \
  scripts/run-example-published 03_connections_filters_and_ordering

API overview

• Types and fields: @sc.type, @sc.node, sc.attr, @sc.field
• Relationships: sc.relationship(...)
• Collections: sc.connection(...), sc.Connection, sc.OffsetConnection
• Pagination: sc.CursorPagination, sc.OffsetPagination, sc.PaginationPolicy
• Filters: @sc.filter, sc.FilterSet, sc.filter_field, sc.manual_filter
• Ordering: @sc.order, sc.order_field, sc.manual_order
• Relay: sc.node_field(), sc.node_lookup(...)
• Schema integration: sc.extensions()

Each part of the surface has a dedicated public docs page and at least one example reference in docs/examples.md.

Development

Run the default non-Postgres test suite with either:

uv run pytest
make test

Run formatting and type checks:

uv run pre-commit run --all-files
uv run mypy
make mypy
make check

Release notes live in CHANGELOG.md. Current limitations are documented in LIMITATIONS.md.