{-# LANGUAGE DeriveDataTypeable #-} {-# LANGUAGE DeriveGeneric #-} {-# LANGUAGE OverloadedStrings #-} {-# LANGUAGE RecordWildCards #-} {-# LANGUAGE TypeFamilies #-} {-# OPTIONS_GHC -fno-warn-unused-imports #-} {-# OPTIONS_GHC -fno-warn-unused-binds #-} {-# OPTIONS_GHC -fno-warn-unused-matches #-} -- Derived from AWS service descriptions, licensed under Apache 2.0. -- | -- Module : Network.AWS.MachineLearning.DeleteMLModel -- Copyright : (c) 2013-2015 Brendan Hay -- License : Mozilla Public License, v. 2.0. -- Maintainer : Brendan Hay -- Stability : auto-generated -- Portability : non-portable (GHC extensions) -- -- Assigns the DELETED status to an 'MLModel', rendering it unusable. -- -- After using the 'DeleteMLModel' operation, you can use the GetMLModel -- operation to verify that the status of the 'MLModel' changed to DELETED. -- -- Caution -- -- The result of the 'DeleteMLModel' operation is irreversible. -- -- /See:/ for DeleteMLModel. module Network.AWS.MachineLearning.DeleteMLModel ( -- * Creating a Request deleteMLModel , DeleteMLModel -- * Request Lenses , dmlmMLModelId -- * Destructuring the Response , deleteMLModelResponse , DeleteMLModelResponse -- * Response Lenses , dmlmrsMLModelId , dmlmrsResponseStatus ) where import Network.AWS.MachineLearning.Types import Network.AWS.MachineLearning.Types.Product import Network.AWS.Prelude import Network.AWS.Request import Network.AWS.Response -- | /See:/ 'deleteMLModel' smart constructor. newtype DeleteMLModel = DeleteMLModel' { _dmlmMLModelId :: Text } deriving (Eq,Read,Show,Data,Typeable,Generic) -- | Creates a value of 'DeleteMLModel' with the minimum fields required to make a request. -- -- Use one of the following lenses to modify other fields as desired: -- -- * 'dmlmMLModelId' deleteMLModel :: Text -- ^ 'dmlmMLModelId' -> DeleteMLModel deleteMLModel pMLModelId_ = DeleteMLModel' { _dmlmMLModelId = pMLModelId_ } -- | A user-supplied ID that uniquely identifies the 'MLModel'. dmlmMLModelId :: Lens' DeleteMLModel Text dmlmMLModelId = lens _dmlmMLModelId (\ s a -> s{_dmlmMLModelId = a}); instance AWSRequest DeleteMLModel where type Rs DeleteMLModel = DeleteMLModelResponse request = postJSON machineLearning response = receiveJSON (\ s h x -> DeleteMLModelResponse' <$> (x .?> "MLModelId") <*> (pure (fromEnum s))) instance ToHeaders DeleteMLModel where toHeaders = const (mconcat ["X-Amz-Target" =# ("AmazonML_20141212.DeleteMLModel" :: ByteString), "Content-Type" =# ("application/x-amz-json-1.1" :: ByteString)]) instance ToJSON DeleteMLModel where toJSON DeleteMLModel'{..} = object (catMaybes [Just ("MLModelId" .= _dmlmMLModelId)]) instance ToPath DeleteMLModel where toPath = const "/" instance ToQuery DeleteMLModel where toQuery = const mempty -- | Represents the output of a DeleteMLModel operation. -- -- You can use the GetMLModel operation and check the value of the 'Status' -- parameter to see whether an 'MLModel' is marked as 'DELETED'. -- -- /See:/ 'deleteMLModelResponse' smart constructor. data DeleteMLModelResponse = DeleteMLModelResponse' { _dmlmrsMLModelId :: !(Maybe Text) , _dmlmrsResponseStatus :: !Int } deriving (Eq,Read,Show,Data,Typeable,Generic) -- | Creates a value of 'DeleteMLModelResponse' with the minimum fields required to make a request. -- -- Use one of the following lenses to modify other fields as desired: -- -- * 'dmlmrsMLModelId' -- -- * 'dmlmrsResponseStatus' deleteMLModelResponse :: Int -- ^ 'dmlmrsResponseStatus' -> DeleteMLModelResponse deleteMLModelResponse pResponseStatus_ = DeleteMLModelResponse' { _dmlmrsMLModelId = Nothing , _dmlmrsResponseStatus = pResponseStatus_ } -- | A user-supplied ID that uniquely identifies the 'MLModel'. This value -- should be identical to the value of the 'MLModelID' in the request. dmlmrsMLModelId :: Lens' DeleteMLModelResponse (Maybe Text) dmlmrsMLModelId = lens _dmlmrsMLModelId (\ s a -> s{_dmlmrsMLModelId = a}); -- | The response status code. dmlmrsResponseStatus :: Lens' DeleteMLModelResponse Int dmlmrsResponseStatus = lens _dmlmrsResponseStatus (\ s a -> s{_dmlmrsResponseStatus = a});