dag-dq-generator 1.0.5

DPaaS Airflow DAG (Dynamic Acyclic Graph) and DQ (Data Quality) generator

# dag-dq-generator DPaaS Airflow DAG (Dynamic Acyclic Graph) and DQ (Data Quality) generator.

dag-dq-generator is a DPaaS [Apache Airflow](https://github.com/apache/incubator-airflow) Airflow DAG (Dynamic Acyclic Graph) and DQ (Data Quality) generator from YAML configuration files. - [Usage](#usage) - [YAML Definition](#yaml-definition) - [Benefits](#benefits) - [Contributing](#contributing)

## Usage ### Setup dag-dq-generator requires Python 3.6.0+. To set up your environment, you can run sh build.sh which installs the required Python packages and run the generator program. Otherwise, you can run pip install -r requirements.txt to install the required Python packages and run python dag_generator.py with the following parameters: * –config-path defines the path to the configurations folder. Defaults to ./configs/ * –dag-storage-path defines the path to the folder where generated DAGs will be stored. Defaults to ./dags/ * –dq-storage-path defines the path to the folder where DQ SQL files will be stored. Defaults to ./sql/

## YAML Definition

## Benefits

• Construct DAGs without knowing Python

• Construct DAGs without learning Airflow primitives

• Avoid duplicative code

## Contributing

Contributions are welcome! Just submit a Pull Request or Github Issue. Feel free to join the discussions on the #dag-dq-generator Slack channel.