[GitHub] [airflow] uranusjr commented on a change in pull request #20860: Branch python operator decorator

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

uranusjr commented on a change in pull request #20860:
URL: https://github.com/apache/airflow/pull/20860#discussion_r784471104



##########
File path: airflow/decorators/branch_python.py
##########
@@ -0,0 +1,100 @@
+# 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 inspect
+from textwrap import dedent
+from typing import Callable, Optional, Sequence, TypeVar
+
+from airflow.decorators.base import DecoratedOperator, task_decorator_factory
+from airflow.operators.python import BranchPythonOperator
+from airflow.utils.python_virtualenv import remove_task_decorator
+
+
+class _BranchPythonDecoratedOperator(DecoratedOperator, BranchPythonOperator):
+    """
+    Wraps a Python callable and captures args/kwargs when called for execution.
+
+    :param python_callable: A reference to an object that is callable
+    :type python_callable: python callable
+    :param op_kwargs: a dictionary of keyword arguments that will get unpacked
+        in your function (templated)
+    :type op_kwargs: dict
+    :param op_args: a list of positional arguments that will get unpacked when
+        calling your callable (templated)
+    :type op_args: list
+    :param multiple_outputs: if set, function return value will be
+        unrolled to multiple XCom values. Dict will unroll to xcom values with keys as keys.
+        Defaults to False.
+    :type multiple_outputs: bool
+    """
+
+    template_fields: Sequence[str] = ('op_args', 'op_kwargs')
+    template_fields_renderers = {"op_args": "py", "op_kwargs": "py"}
+
+    # since we won't mutate the arguments, we should just do the shallow copy
+    # there are some cases we can't deepcopy the objects (e.g protobuf).
+    shallow_copy_attrs: Sequence[str] = ('python_callable',)
+
+    def __init__(
+        self,
+        **kwargs,
+    ) -> None:
+        kwargs_to_upstream = {
+            "python_callable": kwargs["python_callable"],
+            "op_args": kwargs["op_args"],
+            "op_kwargs": kwargs["op_kwargs"],
+        }
+        super().__init__(kwargs_to_upstream=kwargs_to_upstream, **kwargs)
+
+    def get_python_source(self):
+        raw_source = inspect.getsource(self.python_callable)
+        res = dedent(raw_source)
+        res = remove_task_decorator(res, "@task.branchpython")
+        return res
+
+
+T = TypeVar("T", bound=Callable)
+
+
+class BranchPythonDecoratorMixin:
+    """
+    Mixin class for adding branch python decorator
+    to the provider managers.
+    """
+
+    def branchpython(

Review comment:
       I’d say just call it `branch`.




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