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60 lines
2.3 KiB
60 lines
2.3 KiB
# |
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# Licensed to the Apache Software Foundation (ASF) under one |
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# or more contributor license agreements. See the NOTICE file |
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# distributed with this work for additional information |
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# regarding copyright ownership. The ASF licenses this file |
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# to you under the Apache License, Version 2.0 (the |
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# "License"); you may not use this file except in compliance |
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# with the License. You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, |
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# software distributed under the License is distributed on an |
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
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# KIND, either express or implied. See the License for the |
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# specific language governing permissions and limitations |
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# under the License. |
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from airflow.exceptions import AirflowException |
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from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook |
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from airflow.providers.amazon.aws.operators.sagemaker_base import SageMakerBaseOperator |
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from airflow.utils.decorators import apply_defaults |
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class SageMakerModelOperator(SageMakerBaseOperator): |
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""" |
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Create a SageMaker model. |
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This operator returns The ARN of the model created in Amazon SageMaker |
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:param config: The configuration necessary to create a model. |
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For details of the configuration parameter see :py:meth:`SageMaker.Client.create_model` |
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:type config: dict |
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:param aws_conn_id: The AWS connection ID to use. |
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:type aws_conn_id: str |
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""" |
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@apply_defaults |
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def __init__(self, *, config, **kwargs): |
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super().__init__(config=config, **kwargs) |
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self.config = config |
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def expand_role(self) -> None: |
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if "ExecutionRoleArn" in self.config: |
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hook = AwsBaseHook(self.aws_conn_id, client_type="iam") |
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self.config["ExecutionRoleArn"] = hook.expand_role( |
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self.config["ExecutionRoleArn"] |
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) |
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def execute(self, context) -> dict: |
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self.preprocess_config() |
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self.log.info("Creating SageMaker Model %s.", self.config["ModelName"]) |
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response = self.hook.create_model(self.config) |
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if response["ResponseMetadata"]["HTTPStatusCode"] != 200: |
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raise AirflowException(f"Sagemaker model creation failed: {response}") |
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else: |
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return {"Model": self.hook.describe_model(self.config["ModelName"])}
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