https://github.com/bradleybonitatibus/flake8-airflow

A flake8 plugin for linting Apache Airflow code
https://github.com/bradleybonitatibus/flake8-airflow

apache-airflow flake8 flake8-extension python

Last synced: 27 days ago
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A flake8 plugin for linting Apache Airflow code

• Host: GitHub
• URL: https://github.com/bradleybonitatibus/flake8-airflow
• Owner: bradleybonitatibus
• License: apache-2.0
• Created: 2022-11-14T23:35:50.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-05-01T11:02:56.000Z (almost 2 years ago)
• Last Synced: 2024-04-27T08:43:00.899Z (9 months ago)
• Topics: apache-airflow, flake8, flake8-extension, python
• Language: Python
• Homepage:
• Size: 49.8 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Security: SECURITY.md

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README

        
# `flake8-airflow`

[![CI](https://github.com/bradleybonitatibus/flake8-airflow/actions/workflows/ci.yaml/badge.svg)](https://github.com/bradleybonitatibus/flake8-airflow/actions/workflows/ci.yaml)

[![PyPI version](https://badge.fury.io/py/flake8-airflow.svg)](https://badge.fury.io/py/flake8-airflow)

[![OpenSSF Best Practices](https://bestpractices.coreinfrastructure.org/projects/6705/badge)](https://bestpractices.coreinfrastructure.org/projects/6705)

An opinioned `flake8` plugin with Apache Airflow rules.

## Installing

You can install this extension from `pypi` using

```

pip install flake8-airflow

```

## Rules

The following is a table of rules, what they mean, and why they exist.

| Rule Name | Description | Purpose |

| --------- | ----------- | ------- |

| `AA101`   | Use of `SubDagOperator` | Airflow has deprecated `SubDagOperator` since 2.0 and should not be used |

| `AA102`   | Use of `BashOperator` | Airflow does not escape strings sent to the `bash_command` [1](https://registry.astronomer.io/providers/apache-airflow/modules/bashoperator) and is a potential security risk |

| `AA103`   | Missing `retries` default argument in `DAG` constructor | Retries improve DAG resiliency  |