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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2022/12/14 09:42:56 UTC
[GitHub] [airflow] BasPH commented on a diff in pull request #28300: Add Public Interface description to Airflow documentation
BasPH commented on code in PR #28300:
URL: https://github.com/apache/airflow/pull/28300#discussion_r1048225125
##########
docs/apache-airflow/public-airflow-interface.rst:
##########
@@ -0,0 +1,115 @@
+ .. 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:
+
+* `DAG <concepts/dags>`_ (Directed Acyclic Graph) APIs, which allow developers to create, manage,
+ and access DAGs in Airflow.
+* `Task <concepts/tasks>`_ APIs, which provide access to information about individual tasks within
+ a DAG, such as their dependencies and execution status.
+* `Operator <concepts/operators>`_ APIs, which allows the developers to write their custom Operators.
+* `Decorators <howto/create-custom-decorator>`_ APIs, which allows the developers to write their
+ custom decorators to make it easier to write `TaskFlow <tutorial/taskflow>`_ DAGs.
+* `Secret Managers <security/secrets>`_ APIs, which allows the developers to write their custom
+ Secret Managers to safely access credentials and other secret configuration of their workflows.
+* `Connection management <concepts/connections>`_ APIs, which allow developers to manage
+ connections to external systems
+* `XCom <concepts/xcoms>`_, which allow developers to manage cross-task communication within Airflow.
+* `Variables <concepts/variables>`_, which allow developers to manage variables within Airflow.
+* `Executors <executor/index>`_, which allow developers to manage the execution of tasks within Airflow.
+* `Listeners <listeners>`_, which allow developers to react to DAG/Task lifecycle events.
+* `Plugins <plugins>`_, which allow developers to extend internal Airflow capabilities - add new UI
+ pages, custom `TimeTables <concepts/timetable>`_, `Extra Links <howto/define_extra_link>`_,
+ `Triggers <concept/deferring>`_. `Listeners <listeners>`_.
+
+What is not part of the Public Interface of Apache Airflow?
+===========================================================
+
+Everything not mentioned in this document should be considered as non-Public Interface.
+
+The users however, might have some assumptions about different parts of Airflow, thinking that
+they can rely on them, so here we try to clarify and want to be explicit that they are not part of the
+Public Interface:
Review Comment:
```suggestion
Everything not mentioned in this document should be considered as non-Public Interface. This includes:
```
##########
docs/apache-airflow/public-airflow-interface.rst:
##########
@@ -0,0 +1,115 @@
+ .. 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:
+
+* `DAG <concepts/dags>`_ (Directed Acyclic Graph) APIs, which allow developers to create, manage,
+ and access DAGs in Airflow.
+* `Task <concepts/tasks>`_ APIs, which provide access to information about individual tasks within
+ a DAG, such as their dependencies and execution status.
+* `Operator <concepts/operators>`_ APIs, which allows the developers to write their custom Operators.
+* `Decorators <howto/create-custom-decorator>`_ APIs, which allows the developers to write their
+ custom decorators to make it easier to write `TaskFlow <tutorial/taskflow>`_ DAGs.
+* `Secret Managers <security/secrets>`_ APIs, which allows the developers to write their custom
+ Secret Managers to safely access credentials and other secret configuration of their workflows.
+* `Connection management <concepts/connections>`_ APIs, which allow developers to manage
+ connections to external systems
Review Comment:
```suggestion
connections to external systems.
```
##########
docs/apache-airflow/public-airflow-interface.rst:
##########
@@ -0,0 +1,115 @@
+ .. 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:
+
+* `DAG <concepts/dags>`_ (Directed Acyclic Graph) APIs, which allow developers to create, manage,
+ and access DAGs in Airflow.
+* `Task <concepts/tasks>`_ APIs, which provide access to information about individual tasks within
+ a DAG, such as their dependencies and execution status.
+* `Operator <concepts/operators>`_ APIs, which allows the developers to write their custom Operators.
+* `Decorators <howto/create-custom-decorator>`_ APIs, which allows the developers to write their
+ custom decorators to make it easier to write `TaskFlow <tutorial/taskflow>`_ DAGs.
+* `Secret Managers <security/secrets>`_ APIs, which allows the developers to write their custom
+ Secret Managers to safely access credentials and other secret configuration of their workflows.
+* `Connection management <concepts/connections>`_ APIs, which allow developers to manage
+ connections to external systems
+* `XCom <concepts/xcoms>`_, which allow developers to manage cross-task communication within Airflow.
+* `Variables <concepts/variables>`_, which allow developers to manage variables within Airflow.
+* `Executors <executor/index>`_, which allow developers to manage the execution of tasks within Airflow.
+* `Listeners <listeners>`_, which allow developers to react to DAG/Task lifecycle events.
+* `Plugins <plugins>`_, which allow developers to extend internal Airflow capabilities - add new UI
+ pages, custom `TimeTables <concepts/timetable>`_, `Extra Links <howto/define_extra_link>`_,
+ `Triggers <concept/deferring>`_. `Listeners <listeners>`_.
Review Comment:
```suggestion
`Triggers <concept/deferring>`_, and `Listeners <listeners>`_.
```
##########
docs/apache-airflow/public-airflow-interface.rst:
##########
@@ -0,0 +1,115 @@
+ .. 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:
+
+* `DAG <concepts/dags>`_ (Directed Acyclic Graph) APIs, which allow developers to create, manage,
+ and access DAGs in Airflow.
+* `Task <concepts/tasks>`_ APIs, which provide access to information about individual tasks within
+ a DAG, such as their dependencies and execution status.
+* `Operator <concepts/operators>`_ APIs, which allows the developers to write their custom Operators.
+* `Decorators <howto/create-custom-decorator>`_ APIs, which allows the developers to write their
+ custom decorators to make it easier to write `TaskFlow <tutorial/taskflow>`_ DAGs.
+* `Secret Managers <security/secrets>`_ APIs, which allows the developers to write their custom
+ Secret Managers to safely access credentials and other secret configuration of their workflows.
+* `Connection management <concepts/connections>`_ APIs, which allow developers to manage
+ connections to external systems
+* `XCom <concepts/xcoms>`_, which allow developers to manage cross-task communication within Airflow.
+* `Variables <concepts/variables>`_, which allow developers to manage variables within Airflow.
+* `Executors <executor/index>`_, which allow developers to manage the execution of tasks within Airflow.
+* `Listeners <listeners>`_, which allow developers to react to DAG/Task lifecycle events.
+* `Plugins <plugins>`_, which allow developers to extend internal Airflow capabilities - add new UI
+ pages, custom `TimeTables <concepts/timetable>`_, `Extra Links <howto/define_extra_link>`_,
+ `Triggers <concept/deferring>`_. `Listeners <listeners>`_.
+
+What is not part of the Public Interface of Apache Airflow?
+===========================================================
+
+Everything not mentioned in this document should be considered as non-Public Interface.
+
+The users however, might have some assumptions about different parts of Airflow, thinking that
+they can rely on them, so here we try to clarify and want to be explicit that they are not part of the
+Public Interface:
+
+* `Database structure <database-erd-ref>`_ is considered to be an internal implementation
+ detail and you should not assume the structure is going to be maintained in
+ backwards-compatible way.
+
+* `Web UI <ui>`_ is considered to be continuously adapting and evolving for Apache Airflow and
+ you should not assume that the UI will remain as it is in backwards-compatible way. Views and screens
+ might be updated and removed in major releases without impacting backwards-compatibility.
+
+* `Python API <python-api-ref>`_ (except the explicitly mentioned classes below), are considered an
+ internal implementation details and you should not assume they will be maintained
+ in backwards-compatible way.
+
+Which classes and packages are part of the Public Interface of Apache Airflow?
+==============================================================================
+
+The Public Interface of Airflow consists of a number of different classes and packages that provide access
+to the core features and functionality of the system.
+
+The classes and packages that may be considered as the Public Interface include:
+
+* The :class:`~airflow.DAG`, which provides a way to define and manage DAGs in Airflow.
+* The :class:`~airflow.models.baseoperator.BaseOperator`, which provides a way write custom operators.
+* The :class:`~airflow.hooks.base.BaseHook`, which provides a way write custom hooks.
+* The :class:`~airflow.models.connection.Connection`, which provides access to external service credentials and configuration.
+* The :class:`~airflow.models.variable.Variable`, which provides access to Airflow configuration variables.
+* The :class:`~airflow.models.xcom.XCom` which are used to access to inter-task communication data.
+* The :class:`~airflow.secrets.BaseSecretsBackend` which are used to define custom secret managers.
+* The :class:`~airflow.plugins_manager.AirflowPlugin` which are used to define custom plugins.
+* The :class:`~airflow.triggers.base.BaseTrigger`, which are used to implement custom Custom Deferrable Operators (based on ``async.io``).
Review Comment:
```suggestion
* The :class:`~airflow.triggers.base.BaseTrigger`, which are used to implement custom Custom Deferrable Operators (based on ``asyncio``).
```
##########
docs/apache-airflow/public-airflow-interface.rst:
##########
@@ -0,0 +1,115 @@
+ .. 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:
+
+* `DAG <concepts/dags>`_ (Directed Acyclic Graph) APIs, which allow developers to create, manage,
+ and access DAGs in Airflow.
+* `Task <concepts/tasks>`_ APIs, which provide access to information about individual tasks within
+ a DAG, such as their dependencies and execution status.
+* `Operator <concepts/operators>`_ APIs, which allows the developers to write their custom Operators.
+* `Decorators <howto/create-custom-decorator>`_ APIs, which allows the developers to write their
+ custom decorators to make it easier to write `TaskFlow <tutorial/taskflow>`_ DAGs.
+* `Secret Managers <security/secrets>`_ APIs, which allows the developers to write their custom
+ Secret Managers to safely access credentials and other secret configuration of their workflows.
+* `Connection management <concepts/connections>`_ APIs, which allow developers to manage
+ connections to external systems
+* `XCom <concepts/xcoms>`_, which allow developers to manage cross-task communication within Airflow.
+* `Variables <concepts/variables>`_, which allow developers to manage variables within Airflow.
+* `Executors <executor/index>`_, which allow developers to manage the execution of tasks within Airflow.
+* `Listeners <listeners>`_, which allow developers to react to DAG/Task lifecycle events.
+* `Plugins <plugins>`_, which allow developers to extend internal Airflow capabilities - add new UI
+ pages, custom `TimeTables <concepts/timetable>`_, `Extra Links <howto/define_extra_link>`_,
+ `Triggers <concept/deferring>`_. `Listeners <listeners>`_.
+
+What is not part of the Public Interface of Apache Airflow?
+===========================================================
+
+Everything not mentioned in this document should be considered as non-Public Interface.
+
+The users however, might have some assumptions about different parts of Airflow, thinking that
+they can rely on them, so here we try to clarify and want to be explicit that they are not part of the
+Public Interface:
+
+* `Database structure <database-erd-ref>`_ is considered to be an internal implementation
+ detail and you should not assume the structure is going to be maintained in
+ backwards-compatible way.
+
+* `Web UI <ui>`_ is considered to be continuously adapting and evolving for Apache Airflow and
+ you should not assume that the UI will remain as it is in backwards-compatible way. Views and screens
+ might be updated and removed in major releases without impacting backwards-compatibility.
+
+* `Python API <python-api-ref>`_ (except the explicitly mentioned classes below), are considered an
+ internal implementation details and you should not assume they will be maintained
+ in backwards-compatible way.
+
+Which classes and packages are part of the Public Interface of Apache Airflow?
+==============================================================================
+
+The Public Interface of Airflow consists of a number of different classes and packages that provide access
+to the core features and functionality of the system.
+
+The classes and packages that may be considered as the Public Interface include:
+
+* The :class:`~airflow.DAG`, which provides a way to define and manage DAGs in Airflow.
+* The :class:`~airflow.models.baseoperator.BaseOperator`, which provides a way write custom operators.
+* The :class:`~airflow.hooks.base.BaseHook`, which provides a way write custom hooks.
+* The :class:`~airflow.models.connection.Connection`, which provides access to external service credentials and configuration.
+* The :class:`~airflow.models.variable.Variable`, which provides access to Airflow configuration variables.
+* The :class:`~airflow.models.xcom.XCom` which are used to access to inter-task communication data.
+* The :class:`~airflow.secrets.BaseSecretsBackend` which are used to define custom secret managers.
+* The :class:`~airflow.plugins_manager.AirflowPlugin` which are used to define custom plugins.
+* The :class:`~airflow.triggers.base.BaseTrigger`, which are used to implement custom Custom Deferrable Operators (based on ``async.io``).
+* The :class:`~airflow.decorators.base.TaskDecorator`, which provides a way write custom decorators.
+* The :class:`~airflow.listeners.listener.ListenerManager` class which provides hooks that can be implemented to respond to DAG/Task lifecycle events
+
+.. versionadded:: 2.5
+
+ Listener public interface has been added in version 2.5.
+
+* The :class:`~airflow.executors.base_executor.BaseExecutor` - the Executors are the components of Airflow
+ that are responsible for executing tasks.
+
+.. versionadded:: 2.6
+
+ There are a number of different executor implementations built-in Airflow, each with its own unique
+ characteristics and capabilities. Executor interface was available in earlier version of Airflow but
+ only as of version 2.6 executors are decoupled and Airflow does not rely on built-in set of executors.
Review Comment:
I'm not sure what the key message is here?
##########
docs/apache-airflow/public-airflow-interface.rst:
##########
@@ -0,0 +1,115 @@
+ .. 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:
+
+* `DAG <concepts/dags>`_ (Directed Acyclic Graph) APIs, which allow developers to create, manage,
+ and access DAGs in Airflow.
+* `Task <concepts/tasks>`_ APIs, which provide access to information about individual tasks within
+ a DAG, such as their dependencies and execution status.
+* `Operator <concepts/operators>`_ APIs, which allows the developers to write their custom Operators.
+* `Decorators <howto/create-custom-decorator>`_ APIs, which allows the developers to write their
+ custom decorators to make it easier to write `TaskFlow <tutorial/taskflow>`_ DAGs.
+* `Secret Managers <security/secrets>`_ APIs, which allows the developers to write their custom
+ Secret Managers to safely access credentials and other secret configuration of their workflows.
+* `Connection management <concepts/connections>`_ APIs, which allow developers to manage
+ connections to external systems
+* `XCom <concepts/xcoms>`_, which allow developers to manage cross-task communication within Airflow.
+* `Variables <concepts/variables>`_, which allow developers to manage variables within Airflow.
+* `Executors <executor/index>`_, which allow developers to manage the execution of tasks within Airflow.
+* `Listeners <listeners>`_, which allow developers to react to DAG/Task lifecycle events.
+* `Plugins <plugins>`_, which allow developers to extend internal Airflow capabilities - add new UI
+ pages, custom `TimeTables <concepts/timetable>`_, `Extra Links <howto/define_extra_link>`_,
+ `Triggers <concept/deferring>`_. `Listeners <listeners>`_.
+
+What is not part of the Public Interface of Apache Airflow?
+===========================================================
+
+Everything not mentioned in this document should be considered as non-Public Interface.
+
+The users however, might have some assumptions about different parts of Airflow, thinking that
+they can rely on them, so here we try to clarify and want to be explicit that they are not part of the
+Public Interface:
+
+* `Database structure <database-erd-ref>`_ is considered to be an internal implementation
+ detail and you should not assume the structure is going to be maintained in
+ backwards-compatible way.
+
+* `Web UI <ui>`_ is considered to be continuously adapting and evolving for Apache Airflow and
+ you should not assume that the UI will remain as it is in backwards-compatible way. Views and screens
+ might be updated and removed in major releases without impacting backwards-compatibility.
+
+* `Python API <python-api-ref>`_ (except the explicitly mentioned classes below), are considered an
+ internal implementation details and you should not assume they will be maintained
+ in backwards-compatible way.
+
+Which classes and packages are part of the Public Interface of Apache Airflow?
+==============================================================================
+
+The Public Interface of Airflow consists of a number of different classes and packages that provide access
+to the core features and functionality of the system.
+
+The classes and packages that may be considered as the Public Interface include:
+
+* The :class:`~airflow.DAG`, which provides a way to define and manage DAGs in Airflow.
+* The :class:`~airflow.models.baseoperator.BaseOperator`, which provides a way write custom operators.
+* The :class:`~airflow.hooks.base.BaseHook`, which provides a way write custom hooks.
+* The :class:`~airflow.models.connection.Connection`, which provides access to external service credentials and configuration.
+* The :class:`~airflow.models.variable.Variable`, which provides access to Airflow configuration variables.
+* The :class:`~airflow.models.xcom.XCom` which are used to access to inter-task communication data.
+* The :class:`~airflow.secrets.BaseSecretsBackend` which are used to define custom secret managers.
+* The :class:`~airflow.plugins_manager.AirflowPlugin` which are used to define custom plugins.
+* The :class:`~airflow.triggers.base.BaseTrigger`, which are used to implement custom Custom Deferrable Operators (based on ``async.io``).
+* The :class:`~airflow.decorators.base.TaskDecorator`, which provides a way write custom decorators.
+* The :class:`~airflow.listeners.listener.ListenerManager` class which provides hooks that can be implemented to respond to DAG/Task lifecycle events
Review Comment:
```suggestion
* The :class:`~airflow.listeners.listener.ListenerManager` class which provides hooks that can be implemented to respond to DAG/Task lifecycle events.
```
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