Metadata-Version: 2.1
Name: dagster-ext
Version: 0.1.2
Summary: `dagster-ext` is a Meltano utility extension.
Home-page: https://github.com/quantile-development/dagster-ext
License: Apache 2.0
Author: Jules Huisman
Requires-Python: >=3.8,<3.13
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: PyYAML (>=6.0.0,<7.0.0)
Requires-Dist: click (>=8.1.3,<9.0.0)
Requires-Dist: cookiecutter (>=2.1.1,<3.0.0)
Requires-Dist: dagit (>=1.0)
Requires-Dist: dagster (>=1.0)
Requires-Dist: dagster-dbt (>=0.16)
Requires-Dist: dagster-meltano (>=1.0.0)
Requires-Dist: devtools (>=0.9.0,<0.10.0)
Requires-Dist: pydantic (>=2,<2.10)
Requires-Dist: rich (>=12.5.1,<13.0.0)
Requires-Dist: structlog (>=21.2.0,<22.0.0)
Requires-Dist: typer (>=0.9.0,<0.10.0)
Description-Content-Type: text/markdown

# Meltano Dagster Extention

[![PyPI version](https://badge.fury.io/py/dagster-ext.svg)](https://badge.fury.io/py/dagster-ext)

This project uses [`dagster-meltano`](https://github.com/quantile-development/dagster-meltano) under the hood.

## Features

- Load all Meltano jobs as Dagster jobs.
- Add all correspondig schedules to these jobs.
- (todo) Load all DBT models as Dagster assets.
- (todo) Load all Singer tap streams as Dagster assets.
- (todo) Ops to perform all Meltano actions.
- (todo) Extract Singer metrics from logs and store them using Dagster.

## Installation

```sh
# Add the dagster-ext to your Meltano project
meltano add utility dagster

# Initialize your Dagster project
meltano invoke dagster:initialize

# Start Dagit
meltano invoke dagster:start
```

## Commands

```sh
meltano invoke dagster:initialize
```

Setup a new Dagster project and automatically load jobs and assets from your Meltano project.

```sh
meltano invoke dagster:start
```

Start Dagit to serve your local Dagster deployment.

