Add MwaaTriggerDagRunOperator and MwaaHook to Amazon Provider Package

docs/apache-airflow-providers-amazon/operators/mwaa.rst

@@ -0,0 +1,60 @@
+ .. 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.
+
+==================================================
+Amazon Managed Workflows for Apache Airflow (MWAA)
+==================================================
+
+`Amazon Managed Workflows for Apache Airflow (MWAA) <https://aws.amazon.com/managed-workflows-for-apache-airflow/>`__
+is a managed service for Apache Airflow that lets you use your current, familiar Apache Airflow platform to orchestrate
+your workflows. You gain improved scalability, availability, and security without the operational burden of managing
+underlying infrastructure.
+
+Prerequisite Tasks
+------------------
+
+.. include:: ../_partials/prerequisite_tasks.rst
+
+Generic Parameters
+------------------
+
+.. include:: ../_partials/generic_parameters.rst
+
+Operators
+---------
+
+.. _howto/operator:MwaaTriggerDagRunOperator:
+
+Trigger a DAG run in an Amazon MWAA environment
+===============================================
+
+To trigger a DAG run in an Amazon MWAA environment you can use the
+:class:`~airflow.providers.amazon.aws.operators.mwaa.MwaaTriggerDagRunOperator`
+
+In the following example, the task ``trigger_dag_run`` triggers a dag run for a DAG with with the ID ``hello_world`` in
+the environment ``MyAirflowEnvironment``.
+
+.. exampleinclude:: /../../providers/tests/system/amazon/aws/example_mwaa.py
+    :language: python
+    :dedent: 4
+    :start-after: [START howto_operator_mwaa_trigger_dag_run]
+    :end-before: [END howto_operator_mwaa_trigger_dag_run]
+
+References
+----------
+
+* `AWS boto3 library documentation for MWAA <https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/mwaa.html>`__

docs/spelling_wordlist.txt

@@ -1099,6 +1099,7 @@ muldelete
 Multinamespace
 mutex
 mv
+mwaa
 mypy
 Mysql
 mysql

providers/src/airflow/providers/amazon/aws/hooks/mwaa.py

@@ -0,0 +1,81 @@
+# 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.
+"""This module contains AWS MWAA hook."""
+
+from __future__ import annotations
+
+from botocore.exceptions import ClientError
+
+from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
+
+
+class MwaaHook(AwsBaseHook):
+    """
+    Interact with AWS Manager Workflows for Apache Airflow.
+
+    Provide thin wrapper around :external+boto3:py:class:`boto3.client("mwaa") <MWAA.Client>`
+
+    Additional arguments (such as ``aws_conn_id``) may be specified and
+    are passed down to the underlying AwsBaseHook.
+
+    .. seealso::
+        - :class:`airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
+    """
+
+    def __init__(self, *args, **kwargs) -> None:
+        kwargs["client_type"] = "mwaa"
+        super().__init__(*args, **kwargs)
+
+    def invoke_rest_api(
+        self,
+        env_name: str,
+        path: str,
+        method: str,
+        body: dict | None = None,
+        query_params: dict | None = None,
+    ) -> dict:
+        """
+        Invoke the REST API on the Airflow webserver with the specified inputs.
+
+        .. seealso::
+            - :external+boto3:py:meth:`MWAA.Client.invoke_rest_api`
+
+        :param env_name: name of the MWAA environment
+        :param path: Apache Airflow REST API endpoint path to be called
+        :param method: HTTP method used for making Airflow REST API calls
+        :param body: Request body for the Apache Airflow REST API call
+        :param query_params: Query parameters to be included in the Apache Airflow REST API call
+        """
+        body = body or {}
+        api_kwargs = {
+            "Name": env_name,
+            "Path": path,
+            "Method": method,
+            # Filter out keys with None values because Airflow REST API doesn't accept requests otherwise
+            "Body": {k: v for k, v in body.items() if v is not None},
+            "QueryParameters": query_params if query_params else {},
+        }
+        try:
+            result = self.get_conn().invoke_rest_api(**api_kwargs)
+            result.pop("ResponseMetadata", None)
+            return result
+        except ClientError as e:
+            to_log = e.response
+            to_log.pop("ResponseMetadata", None)
+            to_log.pop("Error", None)
+            self.log.error(to_log)
+            raise e

providers/src/airflow/providers/amazon/aws/operators/mwaa.py

@@ -0,0 +1,111 @@
+# 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.
+"""This module contains AWS MWAA operators."""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+from typing import TYPE_CHECKING
+
+from airflow.providers.amazon.aws.hooks.mwaa import MwaaHook
+from airflow.providers.amazon.aws.operators.base_aws import AwsBaseOperator
+from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
+
+if TYPE_CHECKING:
+    from airflow.utils.context import Context
+
+
+class MwaaTriggerDagRunOperator(AwsBaseOperator[MwaaHook]):
+    """
+    Trigger a Dag Run for a Dag in an Amazon MWAA environment.
+
+    .. seealso::
+        For more information on how to use this operator, take a look at the guide:
+        :ref:`howto/operator:MwaaTriggerDagRunOperator`
+
+    :param env_name: The MWAA environment name (templated)
+    :param trigger_dag_id: The ID of the DAG to be triggered (templated)
+    :param trigger_run_id: The Run ID. The value of this field can be set only when creating the object. This
+        together with trigger_dag_id are a unique key. (templated)
+    :param logical_date: The logical date (previously called execution date). This is the time or interval
+        covered by this DAG run, according to the DAG definition. The value of this field can be set only when
+        creating the object. This together with trigger_dag_id are a unique key. (templated)
+    :param data_interval_start: The beginning of the interval the DAG run covers
+    :param data_interval_end: The end of the interval the DAG run covers
+    :param conf: Additional configuration parameters. The value of this field can be set only when creating
+        the object. (templated)
+    :param note: Contains manually entered notes by the user about the DagRun. (templated)
+    """
+
+    aws_hook_class = MwaaHook
+    template_fields: Sequence[str] = aws_template_fields(
+        "env_name",
+        "trigger_dag_id",
+        "trigger_run_id",
+        "logical_date",
+        "data_interval_start",
+        "data_interval_end",
+        "conf",
+        "note",
+    )
+    template_fields_renderers = {"conf": "json"}
+    ui_color = "#6ad3fa"
+
+    def __init__(
+        self,
+        *,
+        env_name: str,
+        trigger_dag_id: str,
+        trigger_run_id: str | None = None,
+        logical_date: str | None = None,
+        data_interval_start: str | None = None,
+        data_interval_end: str | None = None,
+        conf: dict | None = None,
+        note: str | None = None,
+        **kwargs,
+    ):
+        super().__init__(**kwargs)
+        self.env_name = env_name
+        self.trigger_dag_id = trigger_dag_id
+        self.trigger_run_id = trigger_run_id
+        self.logical_date = logical_date
+        self.data_interval_start = data_interval_start
+        self.data_interval_end = data_interval_end
+        self.conf = conf if conf else {}
+        self.note = note
+
+    def execute(self, context: Context) -> dict:
+        """
+        Trigger a Dag Run for the Dag in the Amazon MWAA environment.
+
+        :param context: the Context object
+        :return: dict with information about the Dag run
+            For details of the returned dict, see :py:meth:`botocore.client.MWAA.invoke_rest_api`
+        """
+        return self.hook.invoke_rest_api(
+            env_name=self.env_name,
+            path=f"/dags/{self.trigger_dag_id}/dagRuns",
+            method="POST",
+            body={
+                "dag_run_id": self.trigger_run_id,
+                "logical_date": self.logical_date,
+                "data_interval_start": self.data_interval_start,
+                "data_interval_end": self.data_interval_end,
+                "conf": self.conf,
+                "note": self.note,
+            },
+        )

providers/src/airflow/providers/amazon/provider.yaml

@@ -450,6 +450,9 @@ operators:
   - integration-name: Amazon Managed Service for Apache Flink
     python-modules:
       - airflow.providers.amazon.aws.operators.kinesis_analytics
+  - integration-name: Amazon Managed Workflows for Apache Airflow (MWAA)
+    python-modules:
+      - airflow.providers.amazon.aws.operators.mwaa
   - integration-name: Amazon Simple Storage Service (S3)
     python-modules:
       - airflow.providers.amazon.aws.operators.s3
@@ -658,6 +661,9 @@ hooks:
   - integration-name: Amazon CloudWatch Logs
     python-modules:
       - airflow.providers.amazon.aws.hooks.logs
+  - integration-name: Amazon Managed Workflows for Apache Airflow (MWAA)
+    python-modules:
+      - airflow.providers.amazon.aws.hooks.mwaa
   - integration-name: Amazon OpenSearch Serverless
     python-modules:
       - airflow.providers.amazon.aws.hooks.opensearch_serverless