potiuk commented on code in PR #28300: URL: https://github.com/apache/airflow/pull/28300#discussion_r1051382483
########## docs/apache-airflow/administration-and-deployment/public-airflow-interface.rst: ########## @@ -0,0 +1,118 @@ + .. Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + .. http://www.apache.org/licenses/LICENSE-2.0 + + .. Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. + +Public Interface of Airflow +=========================== + +The Public Interface of Apache Airflow is a set of programmatic interfaces that allow developers to interact +with and access certain features of the Apache Airflow system. This can include operations such as +creating and managing DAGs (directed acyclic graphs), managing tasks and their dependencies, +and extending Airflow capabilities by writing new executors, plugins, operators and providers. The +Public Interface can be useful for building custom tools and integrations with other systems, +as well as for automating certain aspects of the Airflow workflow. + +In general, the Public Interface is an important part of the Airflow ecosystem and can be a powerful +tool for users and developers who want to extend the functionality of the system. + +You can extend Airflow in three ways: + +* By writing new custom Python code (via Operators, Plugins, Provider) +* By using the `Stable REST API <stable-rest-api-ref>`_ (based on the OpenAPI specification) +* By using the `Airflow Command Line Interface (CLI) <cli-and-env-variables-ref.rst>`_ + +How can you extend Apache Airflow with custom Python Code? +========================================================== + +Apache Airflow has a number of different Public Interfaces that allow developers to interact with various +aspects of the system. Some examples of the types of Public Interfaces exposed as Python objects +that are available in Apache Airflow include: Review Comment: This whole section went away with consolidating the two packages. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
