Docs: Add templating info to TaskFlow tutorial

airflow/example_dags/sql/tutorial_taskflow_template.sql

@@ -0,0 +1,23 @@
+/*
+ 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.
+*/
+
+select * from test_data
+where 1=1
+    and run_id = '{{ run_id }}'
+    and something_else = '{{ params.foobar }}'

airflow/example_dags/tutorial_taskflow_templates.py

@@ -0,0 +1,107 @@
+#
+# 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.
+from __future__ import annotations
+
+# [START tutorial]
+# [START import_module]
+import pendulum
+
+from airflow.decorators import dag, task
+from airflow.operators.python import get_current_context
+
+# [END import_module]
+
+
+# [START instantiate_dag]
+@dag(
+    schedule="@daily",
+    start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
+    catchup=False,
+    tags=["example"],
+    params={"foobar": "param_from_dag", "other_param": "from_dag"},
+)
+def tutorial_taskflow_templates():
+    """
+    ### TaskFlow API Tutorial Documentation
+    This is a simple data pipeline example which demonstrates the use of
+    the templates in the TaskFlow API.
+    Documentation that goes along with the Airflow TaskFlow API tutorial is
+    located
+    [here](https://airflow.apache.org/docs/apache-airflow/stable/tutorial_taskflow_api.html)
+    """
+    # [END instantiate_dag]
+
+    # [START template_test]
+    @task(
+        # Causes variables that end with `.sql` to be read and templates
+        # within to be rendered.
+        templates_exts=[".sql"],
+    )
+    def template_test(sql, test_var, data_interval_end):
+        context = get_current_context()
+
+        # Will print...
+        # select * from test_data
+        # where 1=1
+        #     and run_id = 'scheduled__2024-10-09T00:00:00+00:00'
+        #     and something_else = 'param_from_task'
+        print(f"sql: {sql}")
+
+        # Will print `scheduled__2024-10-09T00:00:00+00:00`
+        print(f"test_var: {test_var}")
+
+        # Will print `2024-10-10 00:00:00+00:00`.
+        # Note how we didn't pass this value when calling the task. Instead
+        # it was passed by the decorator from the context
+        print(f"data_interval_end: {data_interval_end}")
+
+        # Will print...
+        # run_id: scheduled__2024-10-09T00:00:00+00:00; params.other_param: from_dag
+        template_str = "run_id: {{ run_id }}; params.other_param: {{ params.other_param }}"
+        rendered_template = context["task"].render_template(
+            template_str,
+            context,
+        )
+        print(f"rendered template: {rendered_template}")
+
+        # Will print the full context dict
+        print(f"context: {context}")
+
+    # [END template_test]
+
+    # [START main_flow]
+    template_test.override(
+        # Will be merged with the dict defined in the dag
+        # and override existing parameters.
+        #
+        # Must be passed into the decorator's parameters
+        # through `.override()` not into the actual task
+        # function
+        params={"foobar": "param_from_task"},
+    )(
+        sql="sql/test.sql",
+        test_var="{{ run_id }}",
+    )
+    # [END main_flow]
+
+
+# [START dag_invocation]
+tutorial_taskflow_templates()
+# [END dag_invocation]
+
+# [END tutorial]

docs/apache-airflow/tutorial/taskflow.rst

@@ -629,6 +629,62 @@ method.
 Current context is accessible only during the task execution. The context is not accessible during
 ``pre_execute`` or ``post_execute``. Calling this method outside execution context will raise an error.
 
+Using templates in decorated tasks
+----------------------------------------------
+
+Arguments passed to your decorated function are automatically templated.
+
+You can also use the ``templates_exts`` parameter to template entire files.
+
+.. code-block:: python
+
+    @task(templates_exts=[".sql"])
+    def template_test(sql):
+        print(f"sql: {sql}")
+
+
+    template_test(sql="sql/test.sql")
+
+This will read the content of ``sql/test.sql`` and replace all template variables. You can also pass a list of files and all of them will be templated.
+
+You can pass additional parameters to the template engine through `the params parameter </concepts/params.html>`_.
+
+However, the ``params`` parameter must be passed to the decorator and not to your function directly, such as ``@task(templates_exts=['.sql'], params={'my_param'})`` and can then be used with ``{{ params.my_param }}`` in your templated files and function parameters.
+
+Alternatively, you can also pass it using the ``.override()`` method:
+
+.. code-block:: python
+
+    @task()
+    def template_test(input_var):
+        print(f"input_var: {input_var}")
+
+
+    template_test.override(params={"my_param": "wow"})(
+        input_var="my param is: {{ params.my_param }}",
+    )
+
+Finally, you can also manually render templates:
+
+.. code-block:: python
+
+    @task(params={"my_param": "wow"})
+    def template_test():
+        template_str = "run_id: {{ run_id }}; params.my_param: {{ params.my_param }}"
+
+        context = get_current_context()
+        rendered_template = context["task"].render_template(
+            template_str,
+            context,
+        )
+
+Here is a full example that demonstrates everything above:
+
+.. exampleinclude:: /../../airflow/example_dags/tutorial_taskflow_templates.py
+    :language: python
+    :start-after: [START tutorial]
+    :end-before: [END tutorial]
+
 Conditionally skipping tasks
 ----------------------------