Update services based on v1.44.211 of AWS Go SDK

Reference: https://github.com/aws/aws-sdk-go/releases/tag/v1.44.211

Author: web-flow

.latest-tag-aws-sdk-go

@@ -1 +1 @@
-v1.44.210
+v1.44.211

lib/aws/generated/comprehend.ex

@@ -133,6 +133,19 @@ defmodule AWS.Comprehend do
     Request.request_post(client, meta, "ContainsPiiEntities", input, options)
   end
 
+  @doc """
+  Creates a dataset to upload training or test data for a model associated with a
+  flywheel.
+
+  For more information about datasets, see [ Flywheel overview](https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html)
+  in the *Amazon Comprehend Developer Guide*.
+  """
+  def create_dataset(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "CreateDataset", input, options)
+  end
+
   @doc """
   Creates a new document classifier that you can use to categorize documents.
 
@@ -162,14 +175,41 @@ defmodule AWS.Comprehend do
   Creates an entity recognizer using submitted files.
 
   After your `CreateEntityRecognizer` request is submitted, you can check job
-  status using the API.
+  status using the `DescribeEntityRecognizer` API.
   """
   def create_entity_recognizer(%Client{} = client, input, options \\ []) do
     meta = metadata()
 
     Request.request_post(client, meta, "CreateEntityRecognizer", input, options)
   end
 
+  @doc """
+  A flywheel is an AWS resource that orchestrates the ongoing training of a model
+  for custom classification or custom entity recognition.
+
+  You can create a flywheel to start with an existing trained model, or Comprehend
+  can create and train a new model.
+
+  When you create the flywheel, Comprehend creates a data lake in your account.
+  The data lake holds the training data and test data for all versions of the
+  model.
+
+  To use a flywheel with an existing trained model, you specify the active model
+  version. Comprehend copies the model's training data and test data into the
+  flywheel's data lake.
+
+  To use the flywheel with a new model, you need to provide a dataset for training
+  data (and optional test data) when you create the flywheel.
+
+  For more information about flywheels, see [ Flywheel overview](https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html)
+  in the *Amazon Comprehend Developer Guide*.
+  """
+  def create_flywheel(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "CreateFlywheel", input, options)
+  end
+
   @doc """
   Deletes a previously created document classifier
 
@@ -218,6 +258,21 @@ defmodule AWS.Comprehend do
     Request.request_post(client, meta, "DeleteEntityRecognizer", input, options)
   end
 
+  @doc """
+  Deletes a flywheel.
+
+  When you delete the flywheel, Amazon Comprehend does not delete the data lake or
+  the model associated with the flywheel.
+
+  For more information about flywheels, see [ Flywheel overview](https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html)
+  in the *Amazon Comprehend Developer Guide*.
+  """
+  def delete_flywheel(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "DeleteFlywheel", input, options)
+  end
+
   @doc """
   Deletes a resource-based policy that is attached to a custom model.
   """
@@ -227,6 +282,18 @@ defmodule AWS.Comprehend do
     Request.request_post(client, meta, "DeleteResourcePolicy", input, options)
   end
 
+  @doc """
+  Returns information about the dataset that you specify.
+
+  For more information about datasets, see [ Flywheel overview](https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html)
+  in the *Amazon Comprehend Developer Guide*.
+  """
+  def describe_dataset(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "DescribeDataset", input, options)
+  end
+
   @doc """
   Gets the properties associated with a document classification job.
 
@@ -300,6 +367,30 @@ defmodule AWS.Comprehend do
     Request.request_post(client, meta, "DescribeEventsDetectionJob", input, options)
   end
 
+  @doc """
+  Provides configuration information about the flywheel.
+
+  For more information about flywheels, see [ Flywheel overview](https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html)
+  in the *Amazon Comprehend Developer Guide*.
+  """
+  def describe_flywheel(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "DescribeFlywheel", input, options)
+  end
+
+  @doc """
+  Retrieve the configuration properties of a flywheel iteration.
+
+  For more information about flywheels, see [ Flywheel overview](https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html)
+  in the *Amazon Comprehend Developer Guide*.
+  """
+  def describe_flywheel_iteration(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "DescribeFlywheelIteration", input, options)
+  end
+
   @doc """
   Gets the properties associated with a key phrases detection job.
 
@@ -476,6 +567,18 @@ defmodule AWS.Comprehend do
     Request.request_post(client, meta, "ImportModel", input, options)
   end
 
+  @doc """
+  List the datasets that you have configured in this region.
+
+  For more information about datasets, see [ Flywheel overview](https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html)
+  in the *Amazon Comprehend Developer Guide*.
+  """
+  def list_datasets(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "ListDatasets", input, options)
+  end
+
   @doc """
   Gets a list of the documentation classification jobs that you have submitted.
   """
@@ -567,6 +670,27 @@ defmodule AWS.Comprehend do
     Request.request_post(client, meta, "ListEventsDetectionJobs", input, options)
   end
 
+  @doc """
+  Information about the history of a flywheel iteration.
+
+  For more information about flywheels, see [ Flywheel overview](https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html)
+  in the *Amazon Comprehend Developer Guide*.
+  """
+  def list_flywheel_iteration_history(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "ListFlywheelIterationHistory", input, options)
+  end
+
+  @doc """
+  Gets a list of the flywheels that you have created.
+  """
+  def list_flywheels(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "ListFlywheels", input, options)
+  end
+
   @doc """
   Get a list of key phrase detection jobs that you have submitted.
   """
@@ -636,7 +760,8 @@ defmodule AWS.Comprehend do
   @doc """
   Starts an asynchronous document classification job.
 
-  Use the operation to track the progress of the job.
+  Use the `DescribeDocumentClassificationJob` operation to track the progress of
+  the job.
   """
   def start_document_classification_job(%Client{} = client, input, options \\ []) do
     meta = metadata()
@@ -681,6 +806,19 @@ defmodule AWS.Comprehend do
     Request.request_post(client, meta, "StartEventsDetectionJob", input, options)
   end
 
+  @doc """
+  Start the flywheel iteration.This operation uses any new datasets to train a new
+  model version.
+
+  For more information about flywheels, see [ Flywheel overview](https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html)
+  in the *Amazon Comprehend Developer Guide*.
+  """
+  def start_flywheel_iteration(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "StartFlywheelIteration", input, options)
+  end
+
   @doc """
   Starts an asynchronous key phrase detection job for a collection of documents.
 
@@ -716,7 +854,8 @@ defmodule AWS.Comprehend do
   Starts an asynchronous targeted sentiment detection job for a collection of
   documents.
 
-  Use the operation to track the status of a job.
+  Use the `DescribeTargetedSentimentDetectionJob` operation to track the status of
+  a job.
   """
   def start_targeted_sentiment_detection_job(%Client{} = client, input, options \\ []) do
     meta = metadata()
@@ -920,4 +1059,13 @@ defmodule AWS.Comprehend do
 
     Request.request_post(client, meta, "UpdateEndpoint", input, options)
   end
+
+  @doc """
+  Update the configuration information for an existing flywheel.
+  """
+  def update_flywheel(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "UpdateFlywheel", input, options)
+  end
 end

lib/aws/generated/kms.ex

@@ -39,14 +39,14 @@ defmodule AWS.KMS do
 
   ## Signing Requests
 
-  Requests must be signed by using an access key ID and a secret access key. We
-  strongly recommend that you *do not* use your Amazon Web Services account (root)
-  access key ID and secret access key for everyday work with KMS. Instead, use the
-  access key ID and secret access key for an IAM user. You can also use the Amazon
-  Web Services Security Token Service to generate temporary security credentials
-  that you can use to sign requests.
+  Requests must be signed using an access key ID and a secret access key. We
+  strongly recommend that you do not use your Amazon Web Services account root
+  access key ID and secret access key for everyday work. You can use the access
+  key ID and secret access key for an IAM user or you can use the Security Token
+  Service (STS) to generate temporary security credentials and use those to sign
+  requests.
 
-  All KMS operations require [Signature Version 4](https://docs.aws.amazon.com/general/latest/gr/signature-version-4.html).
+  All KMS requests must be signed with [Signature Version 4](https://docs.aws.amazon.com/general/latest/gr/signature-version-4.html).
 
   ## Logging API Requests
 
@@ -671,8 +671,8 @@ defmodule AWS.KMS do
   you intend.
 
   Whenever possible, use key policies to give users permission to call the
-  `Decrypt` operation on a particular KMS key, instead of using IAM policies.
-  Otherwise, you might create an IAM user policy that gives the user `Decrypt`
+  `Decrypt` operation on a particular KMS key, instead of using &IAM; policies.
+  Otherwise, you might create an &IAM; policy that gives the user `Decrypt`
   permission on all KMS keys. This user could decrypt ciphertext that was
   encrypted by KMS keys in other accounts if the key policy for the cross-account
   KMS key permits it. If you must use an IAM policy for `Decrypt` permissions,
@@ -689,9 +689,9 @@ defmodule AWS.KMS do
   For details, see [Key states of KMS keys](https://docs.aws.amazon.com/kms/latest/developerguide/key-state.html) in
   the *Key Management Service Developer Guide*.
 
-  **Cross-account use**: Yes. To perform this operation with a KMS key in a
-  different Amazon Web Services account, specify the key ARN or alias ARN in the
-  value of the `KeyId` parameter.
+  **Cross-account use**: Yes. If you use the `KeyId` parameter to identify a KMS
+  key in a different Amazon Web Services account, specify the key ARN or the alias
+  ARN of the KMS key.
 
   **Required permissions**:
   [kms:Decrypt](https://docs.aws.amazon.com/kms/latest/developerguide/kms-api-permissions-reference.html)
@@ -1301,9 +1301,9 @@ defmodule AWS.KMS do
   `NumberOfBytes` parameters (but not both). For 128-bit and 256-bit data keys,
   use the `KeySpec` parameter.
 
-  To generate an SM4 data key (China Regions only), specify a `KeySpec` value of
-  `AES_128` or `NumberOfBytes` value of `128`. The symmetric encryption key used
-  in China Regions to encrypt your data key is an SM4 encryption key.
+  To generate a 128-bit SM4 data key (China Regions only), specify a `KeySpec`
+  value of `AES_128` or a `NumberOfBytes` value of `16`. The symmetric encryption
+  key used in China Regions to encrypt your data key is an SM4 encryption key.
 
   To get only an encrypted copy of the data key, use
   `GenerateDataKeyWithoutPlaintext`. To generate an asymmetric data key pair, use
@@ -2943,9 +2943,11 @@ defmodule AWS.KMS do
   KMS key. For information about asymmetric KMS keys, see [Asymmetric KMS keys](https://docs.aws.amazon.com/kms/latest/developerguide/symmetric-asymmetric.html)
   in the *Key Management Service Developer Guide*.
 
-  To verify a digital signature, you can use the `Verify` operation. Specify the
-  same asymmetric KMS key, message, and signing algorithm that were used to
-  produce the signature.
+  To use the `Verify` operation, specify the same asymmetric KMS key, message, and
+  signing algorithm that were used to produce the signature. The message type does
+  not need to be the same as the one used for signing, but it must indicate
+  whether the value of the `Message` parameter should be hashed as part of the
+  verification process.
 
   You can also verify the digital signature by using the public key of the KMS key
   outside of KMS. Use the `GetPublicKey` operation to download the public key in

lib/aws/generated/lightsail.ex

@@ -428,6 +428,22 @@ defmodule AWS.Lightsail do
     Request.request_post(client, meta, "CreateDomainEntry", input, options)
   end
 
+  @doc """
+  Creates two URLs that are used to access a virtual computer’s graphical user
+  interface (GUI) session.
+
+  The primary URL initiates a web-based NICE DCV session to the virtual computer's
+  application. The secondary URL initiates a web-based NICE DCV session to the
+  virtual computer's operating session.
+
+  Use `StartGUISession` to open the session.
+  """
+  def create_g_ui_session_access_details(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "CreateGUISessionAccessDetails", input, options)
+  end
+
   @doc """
   Creates a snapshot of a specific virtual private server, or *instance*.
 
@@ -1254,6 +1270,17 @@ defmodule AWS.Lightsail do
     Request.request_post(client, meta, "GetContainerServices", input, options)
   end
 
+  @doc """
+  Retrieves information about the cost estimate for a specified resource.
+
+  A cost estimate will not generate for a resource that has been deleted.
+  """
+  def get_cost_estimate(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "GetCostEstimate", input, options)
+  end
+
   @doc """
   Returns information about a specific block storage disk.
   """
@@ -1936,6 +1963,19 @@ defmodule AWS.Lightsail do
     Request.request_post(client, meta, "SetResourceAccessForBucket", input, options)
   end
 
+  @doc """
+  Initiates a graphical user interface (GUI) session that’s used to access a
+  virtual computer’s operating system and application.
+
+  The session will be active for 1 hour. Use this action to resume the session
+  after it expires.
+  """
+  def start_g_ui_session(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "StartGUISession", input, options)
+  end
+
   @doc """
   Starts a specific Amazon Lightsail instance from a stopped state.
 
@@ -1971,6 +2011,18 @@ defmodule AWS.Lightsail do
     Request.request_post(client, meta, "StartRelationalDatabase", input, options)
   end
 
+  @doc """
+  Terminates a web-based NICE DCV session that’s used to access a virtual
+  computer’s operating system or application.
+
+  The session will close and any unsaved data will be lost.
+  """
+  def stop_g_ui_session(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "StopGUISession", input, options)
+  end
+
   @doc """
   Stops a specific Amazon Lightsail instance that is currently running.