Metadata-Version: 2.1
Name: airflow-docker
Version: 0.2.0
Summary: An opinionated implementation of exclusively using airflow DockerOperators for all Operators
Home-page: https://github.com/huntcsg/airflow-docker
Author: Hunter Senft-Grupp
Author-email: huntcsg@gmail.com
License: Apache License 2.0
Description: # airflow-docker
        [![CircleCI](https://circleci.com/gh/huntcsg/airflow-docker.svg?style=svg)](https://circleci.com/gh/huntcsg/airflow-docker) [![Codacy Badge](https://api.codacy.com/project/badge/Grade/fd30a7ce26094c2b9f2e4d80d671a3d0)](https://www.codacy.com/app/fool.of.god/airflow-docker?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=huntcsg/airflow-docker&amp;utm_campaign=Badge_Grade) [![codecov](https://codecov.io/gh/huntcsg/airflow-docker/branch/master/graph/badge.svg)](https://codecov.io/gh/huntcsg/airflow-docker)
        
        ## Description
        An opinionated implementation of exclusively using airflow DockerOperators for all Operators.
        
        ## Default Operator
        
        ```python
        from airflow_docker.operator import Operator
        
        task = Operator(
            image='some-image:latest',
            ...
        )
        
        ```
        
        ## Default Sensor
        
        ```python
        from airflow_docker.operator import Sensor
        
        sensor = Sensor(
            image='some-image:latest',
            ...
        )
        ```
        
        Task Code
        
        ```python
        from airflow_docker_helper import client
        
        client.sensor(True)
        ```
        
        ## Branch Operator
        
        Dag Task 
        
        ```python
        from airflow_docker.operator import BranchOperator
        
        branching_task = BranchOperator(
            image='some-image:latest',
            ...
        )
        ```
        
        Task Code
        
        ```python
        from airflow_docker_helper import client
        
        client.branch_to_tasks(['task1', 'task2'])
        ```
        
        ## Short Circuit Operator
        
        Dag Task 
        
        ```python
        from airflow_docker.operator import ShortCircuitOperator
        
        short_circuit = ShortCircuitOperator(
            image='some-image:latest',
            ...
        )
        ```
        
        Task Code
        
        ```python
        from airflow_docker_helper import client
        
        client.short_circuit()  # This task will short circuit if this function gets called
        ```
        
        ## Context Usage
        
        Dag Task 
        
        ```python
        from airflow_docker.operator import Operator
        
        task = Operator(
            image='some-image:latest',
            provide_context=True,
            ...
        )
        ```
        
        Task Code
        
        ```python
        from airflow_docker_helper import client
        
        context = client.context()
        
        ```
        
Keywords: airflow docker
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: System :: Monitoring
Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*
Description-Content-Type: text/markdown
Provides-Extra: docs
Provides-Extra: testing
Provides-Extra: linting
