Metadata-Version: 2.4
Name: airflow-embedash
Version: 0.1.9
Summary: Add embeded dashboars to Airflow
Author-email: Rodrigo Carneiro <teoria@gmail.com>
Project-URL: Homepage, https://github.com/teoria/airflow-embedash
Project-URL: Documentation, https://github.com/teoria/airflow-embedash
Project-URL: Source code, https://github.com/teoria/airflow-embedash
Keywords: airflow,apache-airflow,metabase,grafana,datadog
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: aenum
Requires-Dist: attrs
Requires-Dist: apache-airflow>=2.9.0
Requires-Dist: deprecation
Requires-Dist: Jinja2>=3.0.0
Requires-Dist: msgpack
Requires-Dist: packaging>=22.0
Requires-Dist: pydantic>=1.10.0
Requires-Dist: virtualenv

# Airflow Embedash

A Python package for embedding dashboards in Apache Airflow.

## Installation

Install the package using pip:

```bash
pip install airflow-embedash
```

Or in development mode:

```bash
pip install -e .
```

## Usage

Create new dashboards
 
### Variable

The default menu label is "Dashboards" but can be changed setup `embeded_dashboards_menu_label`variable.	 
	
For private dashboars need metabase token `embeded_dashboards_metabase_token`

## Package Structure

- `src/` - Source code directory
  - `__init__.py` - Package initialization
  - `airflow_embeded_dashboards.py` - Main module with the main function

## Development

To contribute to this project:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

## License

This project is licensed under the MIT License.
