[GitHub] [airflow] dimberman commented on a change in pull request #14709: Refactor Taskflow decorator for extensibility

[GitBox <gi...@apache.org>]

dimberman commented on a change in pull request #14709:
URL: https://github.com/apache/airflow/pull/14709#discussion_r593217987



##########
File path: airflow/decorators/__init__.py
##########
@@ -0,0 +1,66 @@
+# 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.
+
+import warnings
+from typing import Callable, Optional
+
+from airflow.decorators.python import python_task
+from airflow.models.dag import dag  # noqa # pylint: disable=unused-import
+
+
+class _TaskDecorator:
+    def __call__(
+        self, python_callable: Optional[Callable] = None, multiple_outputs: Optional[bool] = None, **kwargs
+    ):
+        """
+        Deprecated function that calls @task.python and allows users to turn a python function into
+        an Airflow task.
+        @param python_callable:
+        @param multiple_outputs:
+        @param kwargs:
+        @return:
+        """
+        warnings.warn(
+            """Calling airflow.decorators.task for python tasks is deprecated.
+            Please use @task.python instead.
+            Example:
+
+            from airflow.decorators import task
+            @task.python
+            def my_task()""",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+        return task.python(python_callable=python_callable, multiple_outputs=multiple_outputs, **kwargs)
+
+    @staticmethod
+    def python(python_callable: Optional[Callable] = None, multiple_outputs: Optional[bool] = None, **kwargs):
+        """
+        Python operator decorator. Wraps a function into an Airflow operator.
+        Accepts kwargs for operator kwarg. Can be reused in a single DAG.

Review comment:
       What's the difference?




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