dbt-dagsterizer 0.1.7

Dagster automation driven by dbt metadata (Luban CI)

dbt-dagsterizer

dbt-dagsterizer is a Python package for building Dagster automation from dbt metadata.

It is designed to keep Dagster code locations mostly static, while letting developers declare orchestration intent in a small, reviewable YAML file alongside the dbt project.

Documentation

• Docs index: docs/README.md
• Getting started: docs/getting-started.md
• CLI reference: docs/concepts/cli.md
• Template docs (Dagster + dbt + StarRocks): docs/templates/.../README.md

Quick start

CLI

dbt-dagsterizer --help

Initialize orchestration intent and refresh the dbt manifest:

dbt-dagsterizer meta init --dbt-project-dir dbt_project --parse
dbt-dagsterizer meta validate --dbt-project-dir dbt_project --prepare

Python

from dbt_dagsterizer.api import build_definitions

defs = build_definitions(dbt_project_dir="./dbt_project")

If the project has no dbt models yet (no models/**/*.sql), build_definitions() still returns a minimal, always-loadable Definitions.

Development

Setup:

uv sync --dev

Run tests:

uv run pytest

Lint:

uv run ruff check .