Make dag arg optional for CosmosTaskGroup

README.rst

@@ -3,10 +3,10 @@
 
 .. |fury| image:: https://badge.fury.io/py/astronomer-cosmos.svg
     :target: https://badge.fury.io/py/astronomer-cosmos
-    
+
 .. |ossrank| image:: https://img.shields.io/endpoint?url=https://ossrank.com/shield/2121
     :target: https://ossrank.com/shield/2121
-    
+
 .. |downloads| image:: https://img.shields.io/pypi/dm/astronomer-cosmos.svg
     :target: https://img.shields.io/pypi/dm/astronomer-cosmos
 
@@ -67,7 +67,7 @@ Simiarly, you can render an Airflow TaskGroups using the ``DbtTaskGroup`` class.
         dag_id="extract_dag",
         start_date=datetime(2022, 11, 27),
         schedule="@daily",
-    ) as dag:
+    ):
 
         e1 = EmptyOperator(task_id="ingestion_workflow")
 
@@ -78,7 +78,6 @@ Simiarly, you can render an Airflow TaskGroups using the ``DbtTaskGroup`` class.
             dbt_args={
                 "schema": "public",
             },
-            dag=dag,
         )
 
         e2 = EmptyOperator(task_id="some_extraction")

cosmos/core/airflow.py

@@ -51,7 +51,7 @@ class CosmosTaskGroup(TaskGroup):
     def __init__(
         self,
         cosmos_group: Group,
-        dag: DAG,
+        dag: Optional[DAG] = None,
         *args: Any,
         **kwargs: Any,
     ) -> None:

docs/dbt/index.rst

@@ -49,7 +49,6 @@ Create a DAG and import the :class:`cosmos.providers.dbt.DbtTaskGroup` class. Th
             dbt_args={
                 "schema": "public",
             },
-            dag=dag,
         )
 
         e2 = EmptyOperator(task_id="some_extraction")
@@ -62,5 +61,5 @@ The ``DbtTaskGroup`` operator will automatically generate a TaskGroup with the t
 
 .. figure:: https://github.com/astronomer/astronomer-cosmos/raw/main/docs/_static/dbt_dag.png
    :width: 800
-   
-   dbt's default jaffle_shop project rendered as a TaskGroup in Airflow
+
+   dbt's default jaffle_shop project rendered as a TaskGroup in Airflow

docs/dbt/usage.rst

@@ -56,7 +56,6 @@ The :class:`cosmos.providers.dbt.DbtTaskGroup` class can be used to render a tas
             dbt_args={
                 "schema": "public",
             },
-            dag=dag,
         )
 
         e2 = EmptyOperator(task_id="some_extraction")

docs/index.rst

@@ -64,7 +64,6 @@ Create a DAG and import the ``DbtTaskGroup`` operator. The ``DbtTaskGroup`` oper
             dbt_args={
                 "schema": "public",
             },
-            dag=dag,
         )
 
         e2 = EmptyOperator(task_id="some_extraction")
@@ -77,7 +76,7 @@ The ``DbtTaskGroup`` operator will automatically generate a TaskGroup with the t
 
 .. figure:: https://github.com/astronomer/astronomer-cosmos/raw/main/docs/_static/dbt_dag.png
    :width: 800
-   
+
    dbt's default jaffle_shop project rendered as a TaskGroup in Airflow
 
 
@@ -97,4 +96,3 @@ Cosmos operates on a few guiding principles:
 - **Flexible**: Cosmos is not opinionated in that it does not enforce a specific rendering method for third-party systems; users can decide whether they'd like to render their workflow as a DAG, TaskGroup, or individual task.
 - **Extensible**: Cosmos is designed to be extensible. Users can add their own parsers and operators to support their own workflows.
 - **Modular**: Cosmos is designed to be modular. Users can install only the dependencies they need for their workflows.
-

examples/dags/jaffle_shop.py

@@ -31,7 +31,6 @@
             "dbt_executable_path": "/usr/local/airflow/dbt_venv/bin/dbt",
         },
         test_behavior="after_all",
-        dag=dag,
     )
 
     post_dbt_workflow = EmptyOperator(task_id="post_dbt_workflow")