From 7afd549486794b45126eab4c240bf430ee194de0 Mon Sep 17 00:00:00 2001
From: aws-sdk-python-automation Copies a snapshot of an elastic cluster. Creates a new Elastic DocumentDB cluster and returns its Cluster structure. Creates a new Amazon DocumentDB elastic cluster and returns its cluster structure. Creates a snapshot of a cluster. Creates a snapshot of an elastic cluster. Delete a Elastic DocumentDB cluster. Delete an elastic cluster. Delete a Elastic DocumentDB snapshot. Delete an elastic cluster snapshot. Returns information about a specific Elastic DocumentDB cluster. Returns information about a specific elastic cluster. Returns information about a specific Elastic DocumentDB snapshot Returns information about a specific elastic cluster snapshot Returns information about Elastic DocumentDB snapshots for a specified cluster. Returns information about snapshots for a specified elastic cluster. Returns information about provisioned Elastic DocumentDB clusters. Returns information about provisioned Amazon DocumentDB elastic clusters. Lists all tags on a Elastic DocumentDB resource Lists all tags on a elastic cluster resource Restores a Elastic DocumentDB cluster from a snapshot. Restores an elastic cluster from a snapshot. Restarts the stopped elastic cluster that is specified by Stops the running elastic cluster that is specified by Adds metadata tags to a Elastic DocumentDB resource Adds metadata tags to an elastic cluster resource Removes metadata tags to a Elastic DocumentDB resource Removes metadata tags from an elastic cluster resource Modifies a Elastic DocumentDB cluster. This includes updating admin-username/password, upgrading API version setting up a backup window and maintenance window Modifies an elastic cluster. This includes updating admin-username/password, upgrading the API version, and setting up a backup window and maintenance window The name of the Elastic DocumentDB cluster administrator. The name of the elastic cluster administrator. The authentication type for the Elastic DocumentDB cluster. The authentication type for the elastic cluster. The number of days for which automatic snapshots are retained. The arn of the Elastic DocumentDB cluster. The ARN identifier of the elastic cluster. The URL used to connect to the Elastic DocumentDB cluster. The URL used to connect to the elastic cluster. The name of the Elastic DocumentDB cluster. The name of the elastic cluster. The time when the Elastic DocumentDB cluster was created in Universal Coordinated Time (UTC). The time when the elastic cluster was created in Universal Coordinated Time (UTC). The KMS key identifier to use to encrypt the Elastic DocumentDB cluster. The KMS key identifier to use to encrypt the elastic cluster. The daily time range during which automated backups are created if automated backups are enabled, as determined by The capacity of each shard in the Elastic DocumentDB cluster. The number of vCPUs assigned to each elastic cluster shard. Maximum is 64. Allowed values are 2, 4, 8, 16, 32, 64. The number of shards in the Elastic DocumentDB cluster. The number of shards assigned to the elastic cluster. Maximum is 32. The number of replica instances applying to all shards in the cluster. A The total number of shards in the cluster. The status of the Elastic DocumentDB cluster. The status of the elastic cluster. The Amazon EC2 subnet IDs for the Elastic DocumentDB cluster. The Amazon EC2 subnet IDs for the elastic cluster. A list of EC2 VPC security groups associated with this cluster. A list of EC2 VPC security groups associated with thie elastic cluster. Returns information about a specific Elastic DocumentDB cluster. Returns information about a specific elastic cluster. The arn of the Elastic DocumentDB cluster. The ARN identifier of the elastic cluster. The name of the Elastic DocumentDB cluster. The name of the elastic cluster. The status of the Elastic DocumentDB cluster. The status of the elastic cluster. A list of Elastic DocumentDB cluster. A list of Amazon DocumentDB elastic clusters. The name of the Elastic DocumentDB cluster administrator. The name of the elastic cluster administrator. The arn of the Elastic DocumentDB cluster. The ARN identifier of the elastic cluster. The time when the Elastic DocumentDB cluster was created in Universal Coordinated Time (UTC). The time when the elastic cluster was created in Universal Coordinated Time (UTC). The KMS key identifier to use to encrypt the Elastic DocumentDB cluster. The KMS key identifier is the Amazon Resource Name (ARN) for the KMS encryption key. If you are creating a cluster using the same Amazon account that owns this KMS encryption key, you can use the KMS key alias instead of the ARN as the KMS encryption key. If an encryption key is not specified here, Amazon DocumentDB uses the default encryption key that KMS creates for your account. Your account has a different default encryption key for each Amazon Region. The arn of the Elastic DocumentDB snapshot The ARN identifier of the elastic cluster snapshot. The time when the Elastic DocumentDB snapshot was created in Universal Coordinated Time (UTC). The time when the elastic cluster snapshot was created in Universal Coordinated Time (UTC). The name of the Elastic DocumentDB snapshot. The name of the elastic cluster snapshot. The type of cluster snapshots to be returned. You can specify one of the following values: The status of the Elastic DocumentDB snapshot. The status of the elastic cluster snapshot. A list of the IDs of subnets associated with the DB cluster snapshot. The Amazon EC2 subnet IDs for the elastic cluster. A list of the IDs of the VPC security groups associated with the cluster snapshot. A list of EC2 VPC security groups to associate with the elastic cluster. Returns information about a specific Elastic DocumentDB snapshot. Returns information about a specific elastic cluster snapshot. The arn of the Elastic DocumentDB cluster. The ARN identifier of the elastic cluster. The arn of the Elastic DocumentDB snapshot The ARN identifier of the elastic cluster snapshot. The time when the Elastic DocumentDB snapshot was created in Universal Coordinated Time (UTC). The time when the elastic cluster snapshot was created in Universal Coordinated Time (UTC). The name of the Elastic DocumentDB snapshot. The name of the elastic cluster snapshot. The status of the Elastic DocumentDB snapshot. The status of the elastic cluster snapshot. A list of Elastic DocumentDB snapshots. A list of elastic cluster snapshots. Set to The Amazon Web Services KMS key ID for an encrypted elastic cluster snapshot. The Amazon Web Services KMS key ID is the Amazon Resource Name (ARN), Amazon Web Services KMS key identifier, or the Amazon Web Services KMS key alias for the Amazon Web Services KMS encryption key. If you copy an encrypted elastic cluster snapshot from your Amazon Web Services account, you can specify a value for To copy an encrypted elastic cluster snapshot to another Amazon Web Services region, set If you copy an unencrypted elastic cluster snapshot and specify a value for the The Amazon Resource Name (ARN) identifier of the elastic cluster snapshot. The tags to be assigned to the elastic cluster snapshot. The identifier of the new elastic cluster snapshot to create from the source cluster snapshot. This parameter is not case sensitive. Constraints: Must contain from 1 to 63 letters, numbers, or hyphens. The first character must be a letter. Cannot end with a hyphen or contain two consecutive hyphens. Example: The name of the Elastic DocumentDB cluster administrator. Constraints: Must be from 1 to 63 letters or numbers. The first character must be a letter. Cannot be a reserved word. The name of the Amazon DocumentDB elastic clusters administrator. Constraints: Must be from 1 to 63 letters or numbers. The first character must be a letter. Cannot be a reserved word. The password for the Elastic DocumentDB cluster administrator and can contain any printable ASCII characters. Constraints: Must contain from 8 to 100 characters. Cannot contain a forward slash (/), double quote (\"), or the \"at\" symbol (@). The password for the Amazon DocumentDB elastic clusters administrator. The password can contain any printable ASCII characters. Constraints: Must contain from 8 to 100 characters. Cannot contain a forward slash (/), double quote (\"), or the \"at\" symbol (@). The authentication type for the Elastic DocumentDB cluster. The authentication type used to determine where to fetch the password used for accessing the elastic cluster. Valid types are The number of days for which automatic snapshots are retained. The client token for the Elastic DocumentDB cluster. The client token for the elastic cluster. The name of the new Elastic DocumentDB cluster. This parameter is stored as a lowercase string. Constraints: Must contain from 1 to 63 letters, numbers, or hyphens. The first character must be a letter. Cannot end with a hyphen or contain two consecutive hyphens. Example: The name of the new elastic cluster. This parameter is stored as a lowercase string. Constraints: Must contain from 1 to 63 letters, numbers, or hyphens. The first character must be a letter. Cannot end with a hyphen or contain two consecutive hyphens. Example: The KMS key identifier to use to encrypt the new Elastic DocumentDB cluster. The KMS key identifier is the Amazon Resource Name (ARN) for the KMS encryption key. If you are creating a cluster using the same Amazon account that owns this KMS encryption key, you can use the KMS key alias instead of the ARN as the KMS encryption key. If an encryption key is not specified, Elastic DocumentDB uses the default encryption key that KMS creates for your account. Your account has a different default encryption key for each Amazon Region. The KMS key identifier to use to encrypt the new elastic cluster. The KMS key identifier is the Amazon Resource Name (ARN) for the KMS encryption key. If you are creating a cluster using the same Amazon account that owns this KMS encryption key, you can use the KMS key alias instead of the ARN as the KMS encryption key. If an encryption key is not specified, Amazon DocumentDB uses the default encryption key that KMS creates for your account. Your account has a different default encryption key for each Amazon Region. The daily time range during which automated backups are created if automated backups are enabled, as determined by the The capacity of each shard in the new Elastic DocumentDB cluster. The number of vCPUs assigned to each elastic cluster shard. Maximum is 64. Allowed values are 2, 4, 8, 16, 32, 64. The number of shards to create in the new Elastic DocumentDB cluster. The number of shards assigned to the elastic cluster. Maximum is 32. The number of replica instances applying to all shards in the elastic cluster. A The Amazon EC2 subnet IDs for the new Elastic DocumentDB cluster. The Amazon EC2 subnet IDs for the new elastic cluster. The tags to be assigned to the new Elastic DocumentDB cluster. The tags to be assigned to the new elastic cluster. A list of EC2 VPC security groups to associate with the new Elastic DocumentDB cluster. A list of EC2 VPC security groups to associate with the new elastic cluster. The new Elastic DocumentDB cluster that has been created. The new elastic cluster that has been created. The arn of the Elastic DocumentDB cluster that the snapshot will be taken from. The ARN identifier of the elastic cluster of which you want to create a snapshot. The name of the Elastic DocumentDB snapshot. The name of the new elastic cluster snapshot. The tags to be assigned to the new Elastic DocumentDB snapshot. The tags to be assigned to the new elastic cluster snapshot. Returns information about the new Elastic DocumentDB snapshot. Returns information about the new elastic cluster snapshot. The arn of the Elastic DocumentDB cluster that is to be deleted. The ARN identifier of the elastic cluster that is to be deleted. Returns information about the newly deleted Elastic DocumentDB cluster. Returns information about the newly deleted elastic cluster. The arn of the Elastic DocumentDB snapshot that is to be deleted. The ARN identifier of the elastic cluster snapshot that is to be deleted. Returns information about the newly deleted Elastic DocumentDB snapshot. Returns information about the newly deleted elastic cluster snapshot. The arn of the Elastic DocumentDB cluster. The ARN identifier of the elastic cluster. Returns information about a specific Elastic DocumentDB cluster. Returns information about a specific elastic cluster. The arn of the Elastic DocumentDB snapshot. The ARN identifier of the elastic cluster snapshot. Returns information about a specific Elastic DocumentDB snapshot. Returns information about a specific elastic cluster snapshot. The arn of the Elastic DocumentDB cluster. The ARN identifier of the elastic cluster. The maximum number of entries to recieve in the response. The maximum number of elastic cluster snapshot results to receive in the response. The nextToken which is used the get the next page of data. A pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond this token, up to the value specified by If there is no more data in the responce, the The type of cluster snapshots to be returned. You can specify one of the following values: The response will provide a nextToken if there is more data beyond the maxResults. If there is no more data in the responce, the nextToken will not be returned. A pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond this token, up to the value specified by If there is no more data in the responce, the A list of Elastic DocumentDB snapshots for a specified cluster. A list of snapshots for a specified elastic cluster. The maximum number of entries to recieve in the response. The maximum number of elastic cluster snapshot results to receive in the response. The nextToken which is used the get the next page of data. A pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond this token, up to the value specified by If there is no more data in the responce, the A list of Elastic DocumentDB cluster. A list of Amazon DocumentDB elastic clusters. The response will provide a nextToken if there is more data beyond the maxResults. If there is no more data in the responce, the nextToken will not be returned. A pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond this token, up to the value specified by If there is no more data in the responce, the The arn of the Elastic DocumentDB resource. The ARN identifier of the elastic cluster resource. The list of tags for the specified Elastic DocumentDB resource. The list of tags for the specified elastic cluster resource. The name of the Elastic DocumentDB cluster. The name of the elastic cluster. The KMS key identifier to use to encrypt the new Elastic DocumentDB cluster. The KMS key identifier is the Amazon Resource Name (ARN) for the KMS encryption key. If you are creating a cluster using the same Amazon account that owns this KMS encryption key, you can use the KMS key alias instead of the ARN as the KMS encryption key. If an encryption key is not specified here, Elastic DocumentDB uses the default encryption key that KMS creates for your account. Your account has a different default encryption key for each Amazon Region. The KMS key identifier to use to encrypt the new Amazon DocumentDB elastic clusters cluster. The KMS key identifier is the Amazon Resource Name (ARN) for the KMS encryption key. If you are creating a cluster using the same Amazon account that owns this KMS encryption key, you can use the KMS key alias instead of the ARN as the KMS encryption key. If an encryption key is not specified here, Amazon DocumentDB uses the default encryption key that KMS creates for your account. Your account has a different default encryption key for each Amazon Region. The capacity of each shard in the new restored elastic cluster. The number of replica instances applying to all shards in the elastic cluster. A The arn of the Elastic DocumentDB snapshot. The ARN identifier of the elastic cluster snapshot. The Amazon EC2 subnet IDs for the Elastic DocumentDB cluster. The Amazon EC2 subnet IDs for the elastic cluster. A list of the tag names to be assigned to the restored DB cluster, in the form of an array of key-value pairs in which the key is the tag name and the value is the key value. A list of the tag names to be assigned to the restored elastic cluster, in the form of an array of key-value pairs in which the key is the tag name and the value is the key value. A list of EC2 VPC security groups to associate with the Elastic DocumentDB cluster. A list of EC2 VPC security groups to associate with the elastic cluster. Returns information about a the restored Elastic DocumentDB cluster. Returns information about a the restored elastic cluster. The time when the shard was created in Universal Coordinated Time (UTC). The ID of the shard. The current status of the shard. The name of the shard. The ARN identifier of the elastic cluster. The ARN identifier of the elastic cluster. The arn of the Elastic DocumentDB resource. The ARN identifier of the elastic cluster resource. The tags to be assigned to the Elastic DocumentDB resource. The tags that are assigned to the elastic cluster resource. The arn of the Elastic DocumentDB resource. The ARN identifier of the elastic cluster resource. The tag keys to be removed from the Elastic DocumentDB resource. The tag keys to be removed from the elastic cluster resource. The password for the Elastic DocumentDB cluster administrator. This password can contain any printable ASCII character except forward slash (/), double quote (\"), or the \"at\" symbol (@). Constraints: Must contain from 8 to 100 characters. The password associated with the elastic cluster administrator. This password can contain any printable ASCII character except forward slash (/), double quote (\"), or the \"at\" symbol (@). Constraints: Must contain from 8 to 100 characters. The authentication type for the Elastic DocumentDB cluster. The authentication type used to determine where to fetch the password used for accessing the elastic cluster. Valid types are The number of days for which automatic snapshots are retained. The client token for the Elastic DocumentDB cluster. The client token for the elastic cluster. The arn of the Elastic DocumentDB cluster. The ARN identifier of the elastic cluster. The daily time range during which automated backups are created if automated backups are enabled, as determined by the The weekly time range during which system maintenance can occur, in Universal Coordinated Time (UTC). Format: Default: a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region, occurring on a random day of the week. Valid days: Mon, Tue, Wed, Thu, Fri, Sat, Sun Constraints: Minimum 30-minute window. The capacity of each shard in the Elastic DocumentDB cluster. The number of vCPUs assigned to each elastic cluster shard. Maximum is 64. Allowed values are 2, 4, 8, 16, 32, 64. The number of shards to create in the Elastic DocumentDB cluster. The number of shards assigned to the elastic cluster. Maximum is 32. The number of replica instances applying to all shards in the elastic cluster. A The number of shards to create in the Elastic DocumentDB cluster. The Amazon EC2 subnet IDs for the elastic cluster. A list of EC2 VPC security groups to associate with the new Elastic DocumentDB cluster. A list of EC2 VPC security groups to associate with the elastic cluster. Returns information about the updated Elastic DocumentDB cluster. Returns information about the updated elastic cluster. The new Amazon Elastic DocumentDB service endpoint. Amazon DocumentDB elastic-clusters support workloads with millions of reads/writes per second and petabytes of storage capacity. Amazon DocumentDB elastic clusters also simplify how developers interact with Amazon DocumentDB elastic-clusters by eliminating the need to choose, manage or upgrade instances. Amazon DocumentDB elastic-clusters were created to: provide a solution for customers looking for a database that provides virtually limitless scale with rich query capabilities and MongoDB API compatibility. give customers higher connection limits, and to reduce downtime from patching. continue investing in a cloud-native, elastic, and class leading architecture for JSON workloads.clusterARN
.clusterArn
. The elastic cluster must be in the available state. backupRetentionPeriod
.shardInstanceCount
value of 1 means there is one writer instance, and any additional instances are replicas that can be used for reads and to improve availability.
"
},
"status":{
"shape":"Status",
- "documentation":"automated
- Return all cluster snapshots that Amazon DocumentDB has automatically created for your Amazon Web Services account.manual
- Return all cluster snapshots that you have manually created for your Amazon Web Services account.true
to copy all tags from the source cluster snapshot to the target elastic cluster snapshot. The default is false
.KmsKeyId
to encrypt the copy with a new Amazon Web ServicesS KMS encryption key. If you don't specify a value for KmsKeyId
, then the copy of the elastic cluster snapshot is encrypted with the same AWS
KMS key as the source elastic cluster snapshot.KmsKeyId
to the Amazon Web Services KMS key ID that you want to use to encrypt the copy of the elastic cluster snapshot in the destination region. Amazon Web Services KMS encryption keys are specific to the Amazon Web Services region that they are created in, and you can't use encryption keys from one Amazon Web Services region in another Amazon Web Services region.KmsKeyId
parameter, an error is returned.
elastic-cluster-snapshot-5
"
+ "documentation":"
"
},
"adminUserPassword":{
"shape":"Password",
- "documentation":"
"
+ "documentation":"
"
},
"authType":{
"shape":"Auth",
- "documentation":"PLAIN_TEXT
or SECRET_ARN
.
my-cluster
my-cluster
backupRetentionPeriod
.shardInstanceCount
value of 1 means there is one writer instance, and any additional instances are replicas that can be used for reads and to improve availability.max-results
.nextToken
will not be returned.
",
+ "location":"querystring",
+ "locationName":"snapshotType"
}
}
},
@@ -753,11 +897,11 @@
"members":{
"nextToken":{
"shape":"PaginationToken",
- "documentation":"automated
- Return all cluster snapshots that Amazon DocumentDB has automatically created for your Amazon Web Services account.manual
- Return all cluster snapshots that you have manually created for your Amazon Web Services account.max-results
.nextToken
will not be returned.max-results
.nextToken
will not be returned.max-results
.nextToken
will not be returned.shardInstanceCount
value of 1 means there is one writer instance, and any additional instances are replicas that can be used for reads and to improve availability.PLAIN_TEXT
or SECRET_ARN
.backupRetentionPeriod
.ddd:hh24:mi-ddd:hh24:mi
shardInstanceCount
value of 1 means there is one writer instance, and any additional instances are replicas that can be used for reads and to improve availability.
The ARN of the knowledge base used.
" + } + }, + "documentation":"Contains details about the configuration of a Amazon Bedrock knowledge base.
" + }, "BedrockModelArn":{ "type":"string", - "pattern":"^arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}::foundation-model\\/[a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}$" + "pattern":"^arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}::foundation-model\\/[a-z0-9-]{1,63}[.]{1}([a-z0-9-]{1,63}[.]){0,2}[a-z0-9-]{1,63}([:][a-z0-9-]{1,63}){0,2}$" }, "BedrockModelSpecification":{ "type":"structure", @@ -4186,7 +4204,10 @@ "shape":"DescriptiveBotBuilderSpecification", "documentation":"An object containing specifications for the descriptive bot building feature.
" }, - "sampleUtteranceGeneration":{"shape":"SampleUtteranceGenerationSpecification"} + "sampleUtteranceGeneration":{ + "shape":"SampleUtteranceGenerationSpecification", + "documentation":"Contains specifications for the sample utterance generation feature.
" + } }, "documentation":"Contains specifications about the Amazon Lex build time generative AI capabilities from Amazon Bedrock that you can turn on for your bot.
" }, @@ -5177,6 +5198,10 @@ "initialResponseSetting":{ "shape":"InitialResponseSetting", "documentation":"Configuration settings for the response that is sent to the user at the beginning of a conversation, before eliciting slot values.
" + }, + "qnAIntentConfiguration":{ + "shape":"QnAIntentConfiguration", + "documentation":"Specifies the configuration of the built-in Amazon.QnAIntent
. The AMAZON.QnAIntent
intent is called when Amazon Lex can't determine another intent to invoke. If you specify this field, you can't specify the kendraConfiguration
field.
Configuration settings for the response that is sent to the user at the beginning of a conversation, before eliciting slot values.
" + }, + "qnAIntentConfiguration":{ + "shape":"QnAIntentConfiguration", + "documentation":"Details about the the configuration of the built-in Amazon.QnAIntent
.
By default, data stored by Amazon Lex is encrypted. The DataPrivacy
structure provides settings that determine how Amazon Lex handles special cases of securing the data for your bot.
Contains details about the configuration of the Amazon OpenSearch Service database used for the AMAZON.QnAIntent
. To create a domain, follow the steps at Creating and managing Amazon OpenSearch Service domains.
Contains details about the configuration of the Amazon Kendra index used for the AMAZON.QnAIntent
. To create a Amazon Kendra index, follow the steps at Creating an index.
Contains details about the configuration of the Amazon Bedrock knowledge base used for the AMAZON.QnAIntent
. To set up a knowledge base, follow the steps at Building a knowledge base.
Contains details about the configuration of the knowledge store used for the AMAZON.QnAIntent
. You must have already created the knowledge store and indexed the documents within it.
Configuration setting for a response sent to the user before Amazon Lex starts eliciting slots.
" + }, + "qnAIntentConfiguration":{ + "shape":"QnAIntentConfiguration", + "documentation":"Details about the configuration of the built-in Amazon.QnAIntent
.
The current state of the conversation with the user.
" }, + "DomainEndpoint":{ + "type":"string", + "pattern":"^(http|https):\\/\\/+[^\\s]+[\\w]" + }, "DraftBotVersion":{ "type":"string", "max":5, @@ -7779,6 +7834,24 @@ ] }, "ErrorMessage":{"type":"string"}, + "ExactResponseFields":{ + "type":"structure", + "required":[ + "questionField", + "answerField" + ], + "members":{ + "questionField":{ + "shape":"QuestionField", + "documentation":"The name of the field that contains the query made to the OpenSearch Service database.
" + }, + "answerField":{ + "shape":"AnswerField", + "documentation":"The name of the field that contains the answer to the query made to the OpenSearch Service database.
" + } + }, + "documentation":"Contains the names of the fields used for an exact response to the user.
" + }, "ExceptionMessage":{"type":"string"}, "ExecutionErrorDetails":{ "type":"structure", @@ -8463,6 +8536,7 @@ "min":5, "pattern":"^([0-9a-zA-Z_])+$" }, + "IncludeField":{"type":"string"}, "InitialResponseSetting":{ "type":"structure", "members":{ @@ -10705,6 +10779,18 @@ "min":1, "pattern":"^[0-9]+$" }, + "OSIncludeFields":{ + "type":"list", + "member":{"shape":"IncludeField"}, + "max":5, + "min":1 + }, + "OSIndexName":{ + "type":"string", + "max":255, + "min":1, + "pattern":"^(?![_-])[a-z0-9][a-z0-9_\\-]{0,254}$" + }, "ObfuscationSetting":{ "type":"structure", "required":["obfuscationSettingType"], @@ -10734,6 +10820,36 @@ "max":2, "min":1 }, + "OpensearchConfiguration":{ + "type":"structure", + "required":[ + "domainEndpoint", + "indexName" + ], + "members":{ + "domainEndpoint":{ + "shape":"DomainEndpoint", + "documentation":"The endpoint of the Amazon OpenSearch Service domain.
" + }, + "indexName":{ + "shape":"OSIndexName", + "documentation":"The name of the Amazon OpenSearch Service index.
" + }, + "exactResponse":{ + "shape":"Boolean", + "documentation":"Specifies whether to return an exact response or to return an answer generated by the model using the fields you specify from the database.
" + }, + "exactResponseFields":{ + "shape":"ExactResponseFields", + "documentation":"Contains the names of the fields used for an exact response to the user.
" + }, + "includeFields":{ + "shape":"OSIncludeFields", + "documentation":"Contains a list of fields from the Amazon OpenSearch Service that the model can use to generate the answer to the query.
" + } + }, + "documentation":"Contains details about the configuration of the Amazon OpenSearch Service database used for the AMAZON.QnAIntent
.
Specifies a list of message groups that Amazon Lex sends to a user to elicit a response.
" }, + "QnAIntentConfiguration":{ + "type":"structure", + "members":{ + "dataSourceConfiguration":{ + "shape":"DataSourceConfiguration", + "documentation":"Contains details about the configuration of the data source used for the AMAZON.QnAIntent
.
Details about the the configuration of the built-in Amazon.QnAIntent
.
The ARN of the Amazon Kendra index to use.
" + }, + "queryFilterStringEnabled":{ + "shape":"Boolean", + "documentation":"Specifies whether to enable an Amazon Kendra filter string or not.
" + }, + "queryFilterString":{ + "shape":"QueryFilterString", + "documentation":"Contains the Amazon Kendra filter string to use if enabled. For more information on the Amazon Kendra search filter JSON format, see Using document attributes to filter search results.
" + }, + "exactResponse":{ + "shape":"Boolean", + "documentation":"Specifies whether to return an exact response from the Amazon Kendra index or to let the Amazon Bedrock model you select generate a response based on the results. To use this feature, you must first add FAQ questions to your index by following the steps at Adding frequently asked questions (FAQs) to an index.
" + } + }, + "documentation":"Contains details about the configuration of the Amazon Kendra index used for the AMAZON.QnAIntent
.
Configuration settings for a response sent to the user before Amazon Lex starts eliciting slots.
" + }, + "qnAIntentConfiguration":{ + "shape":"QnAIntentConfiguration", + "documentation":"Specifies the configuration of the built-in Amazon.QnAIntent
. The AMAZON.QnAIntent
intent is called when Amazon Lex can't determine another intent to invoke. If you specify this field, you can't specify the kendraConfiguration
field.
Configuration settings for a response sent to the user before Amazon Lex starts eliciting slots.
" + }, + "qnAIntentConfiguration":{ + "shape":"QnAIntentConfiguration", + "documentation":"Details about the configuration of the built-in Amazon.QnAIntent
.
Creates a migration workflow template.
" + }, "CreateWorkflow":{ "name":"CreateWorkflow", "http":{ @@ -63,6 +81,25 @@ ], "documentation":"Create a step group in a migration workflow.
" }, + "DeleteTemplate":{ + "name":"DeleteTemplate", + "http":{ + "method":"DELETE", + "requestUri":"/template/{id}", + "responseCode":200 + }, + "input":{"shape":"DeleteTemplateRequest"}, + "output":{"shape":"DeleteTemplateResponse"}, + "errors":[ + {"shape":"ThrottlingException"}, + {"shape":"AccessDeniedException"}, + {"shape":"InternalServerException"}, + {"shape":"ValidationException"}, + {"shape":"ResourceNotFoundException"} + ], + "documentation":"Deletes a migration workflow template.
", + "idempotent":true + }, "DeleteWorkflow":{ "name":"DeleteWorkflow", "http":{ @@ -446,6 +483,24 @@ "documentation":"Deletes the tags for a resource.
", "idempotent":true }, + "UpdateTemplate":{ + "name":"UpdateTemplate", + "http":{ + "method":"POST", + "requestUri":"/template/{id}", + "responseCode":200 + }, + "input":{"shape":"UpdateTemplateRequest"}, + "output":{"shape":"UpdateTemplateResponse"}, + "errors":[ + {"shape":"ThrottlingException"}, + {"shape":"AccessDeniedException"}, + {"shape":"InternalServerException"}, + {"shape":"ValidationException"}, + {"shape":"ResourceNotFoundException"} + ], + "documentation":"Updates a migration workflow template.
" + }, "UpdateWorkflow":{ "name":"UpdateWorkflow", "http":{ @@ -526,12 +581,31 @@ "type":"boolean", "box":true }, + "ClientToken":{ + "type":"string", + "max":256, + "min":1, + "pattern":"[-a-zA-Z0-9]*" + }, + "ConflictException":{ + "type":"structure", + "required":["message"], + "members":{ + "message":{"shape":"String"} + }, + "documentation":"This exception is thrown when an attempt to update or delete a resource would cause an inconsistent state.
", + "error":{ + "httpStatusCode":409, + "senderFault":true + }, + "exception":true, + "retryable":{"throttling":false} + }, "CreateMigrationWorkflowRequest":{ "type":"structure", "required":[ "name", "templateId", - "applicationConfigurationId", "inputParameters" ], "members":{ @@ -568,8 +642,8 @@ "CreateMigrationWorkflowRequestApplicationConfigurationIdString":{ "type":"string", "max":100, - "min":1, - "pattern":"[-a-zA-Z0-9_.+]+[-a-zA-Z0-9_.+ ]*" + "min":0, + "pattern":"[-a-zA-Z0-9_.+]*" }, "CreateMigrationWorkflowRequestDescriptionString":{ "type":"string", @@ -638,6 +712,65 @@ } } }, + "CreateTemplateRequest":{ + "type":"structure", + "required":[ + "templateName", + "templateSource" + ], + "members":{ + "templateName":{ + "shape":"CreateTemplateRequestTemplateNameString", + "documentation":"The name of the migration workflow template.
" + }, + "templateDescription":{ + "shape":"CreateTemplateRequestTemplateDescriptionString", + "documentation":"A description of the migration workflow template.
" + }, + "templateSource":{ + "shape":"TemplateSource", + "documentation":"The source of the migration workflow template.
" + }, + "clientToken":{ + "shape":"ClientToken", + "documentation":"A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. For more information, see Idempotency in the Smithy documentation.
", + "idempotencyToken":true + }, + "tags":{ + "shape":"TagMap", + "documentation":"The tags to add to the migration workflow template.
" + } + } + }, + "CreateTemplateRequestTemplateDescriptionString":{ + "type":"string", + "max":250, + "min":0, + "pattern":".*" + }, + "CreateTemplateRequestTemplateNameString":{ + "type":"string", + "max":128, + "min":1, + "pattern":"[ a-zA-Z0-9]*" + }, + "CreateTemplateResponse":{ + "type":"structure", + "members":{ + "templateId":{ + "shape":"String", + "documentation":"The ID of the migration workflow template.
" + }, + "templateArn":{ + "shape":"String", + "documentation":"The Amazon Resource Name (ARN) of the migration workflow template. The format for an Migration Hub Orchestrator template ARN is arn:aws:migrationhub-orchestrator:region:account:template/template-abcd1234
. For more information about ARNs, see Amazon Resource Names (ARNs) in the AWS General Reference.
The tags added to the migration workflow template.
" + } + } + }, "CreateWorkflowStepGroupRequest":{ "type":"structure", "required":[ @@ -814,6 +947,23 @@ } } }, + "DeleteTemplateRequest":{ + "type":"structure", + "required":["id"], + "members":{ + "id":{ + "shape":"TemplateId", + "documentation":"The ID of the request to delete a migration workflow template.
", + "location":"uri", + "locationName":"id" + } + } + }, + "DeleteTemplateResponse":{ + "type":"structure", + "members":{ + } + }, "DeleteWorkflowStepGroupRequest":{ "type":"structure", "required":[ @@ -989,6 +1139,10 @@ "shape":"String", "documentation":"The ID of the template.
" }, + "templateArn":{ + "shape":"String", + "documentation":">The Amazon Resource Name (ARN) of the migration workflow template. The format for an Migration Hub Orchestrator template ARN is arn:aws:migrationhub-orchestrator:region:account:template/template-abcd1234
. For more information about ARNs, see Amazon Resource Names (ARNs) in the AWS General Reference.
The name of the template.
" @@ -1005,13 +1159,29 @@ "shape":"ToolsList", "documentation":"List of AWS services utilized in a migration workflow.
" }, + "creationTime":{ + "shape":"Timestamp", + "documentation":"The time at which the template was last created.
" + }, + "owner":{ + "shape":"String", + "documentation":"The owner of the migration workflow template.
" + }, "status":{ "shape":"TemplateStatus", "documentation":"The status of the template.
" }, - "creationTime":{ - "shape":"Timestamp", - "documentation":"The time at which the template was last created.
" + "statusMessage":{ + "shape":"String", + "documentation":"The status message of retrieving migration workflow templates.
" + }, + "templateClass":{ + "shape":"String", + "documentation":"The class of the migration workflow template. The available template classes are:
A2C
MGN
SAP_MULTI
SQL_EC2
SQL_RDS
VMIE
The tags added to the migration workflow template.
" } } }, @@ -1248,7 +1418,7 @@ }, "stepGroupId":{ "shape":"StepGroupId", - "documentation":"desThe ID of the step group.
", + "documentation":"The ID of the step group.
", "location":"querystring", "locationName":"stepGroupId" }, @@ -1693,6 +1863,15 @@ "max":100, "min":0 }, + "MaxStringList":{ + "type":"list", + "member":{"shape":"MaxStringValue"} + }, + "MaxStringValue":{ + "type":"string", + "max":2048, + "min":0 + }, "MigrationWorkflowDescription":{ "type":"string", "max":500, @@ -1876,7 +2055,7 @@ }, "ResourceArn":{ "type":"string", - "pattern":"arn:aws:migrationhub-orchestrator:[a-z0-9-]+:[0-9]+:workflow/[.]*" + "pattern":"arn:aws:migrationhub-orchestrator:[a-z0-9-]+:[0-9]+:(template|workflow)/[.]*" }, "ResourceNotFoundException":{ "type":"structure", @@ -2076,8 +2255,7 @@ "members":{ "integerValue":{ "shape":"Integer", - "documentation":"The value of the integer.
", - "box":true + "documentation":"The value of the integer.
" }, "stringValue":{ "shape":"StringValue", @@ -2139,6 +2317,7 @@ "type":"string", "enum":[ "AWAITING_DEPENDENCIES", + "SKIPPED", "READY", "IN_PROGRESS", "COMPLETED", @@ -2191,7 +2370,7 @@ }, "StringListMember":{ "type":"string", - "max":100, + "max":500, "min":0 }, "StringMap":{ @@ -2309,9 +2488,26 @@ "min":1, "pattern":"[-a-zA-Z0-9_.+]+[-a-zA-Z0-9_.+ ]*" }, + "TemplateSource":{ + "type":"structure", + "members":{ + "workflowId":{ + "shape":"MigrationWorkflowId", + "documentation":"The ID of the workflow from the source migration workflow template.
" + } + }, + "documentation":"The migration workflow template used as the source for the new template.
", + "union":true + }, "TemplateStatus":{ "type":"string", - "enum":["CREATED"] + "enum":[ + "CREATED", + "READY", + "PENDING_CREATION", + "CREATING", + "CREATION_FAILED" + ] }, "TemplateStepGroupSummary":{ "type":"structure", @@ -2562,6 +2758,60 @@ } } }, + "UpdateTemplateRequest":{ + "type":"structure", + "required":["id"], + "members":{ + "id":{ + "shape":"TemplateId", + "documentation":"The ID of the request to update a migration workflow template.
", + "location":"uri", + "locationName":"id" + }, + "templateName":{ + "shape":"UpdateTemplateRequestTemplateNameString", + "documentation":"The name of the migration workflow template to update.
" + }, + "templateDescription":{ + "shape":"UpdateTemplateRequestTemplateDescriptionString", + "documentation":"The description of the migration workflow template to update.
" + }, + "clientToken":{ + "shape":"ClientToken", + "documentation":"A unique, case-sensitive identifier that you provide to ensure the idempotency of the request.
", + "idempotencyToken":true + } + } + }, + "UpdateTemplateRequestTemplateDescriptionString":{ + "type":"string", + "max":250, + "min":0, + "pattern":".*" + }, + "UpdateTemplateRequestTemplateNameString":{ + "type":"string", + "max":128, + "min":1, + "pattern":"[ a-zA-Z0-9]*" + }, + "UpdateTemplateResponse":{ + "type":"structure", + "members":{ + "templateId":{ + "shape":"String", + "documentation":"The ID of the migration workflow template being updated.
" + }, + "templateArn":{ + "shape":"String", + "documentation":"The ARN of the migration workflow template being updated. The format for an Migration Hub Orchestrator template ARN is arn:aws:migrationhub-orchestrator:region:account:template/template-abcd1234
. For more information about ARNs, see Amazon Resource Names (ARNs) in the AWS General Reference.
The tags added to the migration workflow template.
" + } + } + }, "UpdateWorkflowStepGroupRequest":{ "type":"structure", "required":[ @@ -2828,15 +3078,14 @@ "members":{ "integerValue":{ "shape":"Integer", - "documentation":"The integer value.
", - "box":true + "documentation":"The integer value.
" }, "stringValue":{ - "shape":"StringValue", + "shape":"MaxStringValue", "documentation":"The string value.
" }, "listOfStringValue":{ - "shape":"StringList", + "shape":"MaxStringList", "documentation":"The list of string value.
" } }, @@ -2906,5 +3155,5 @@ "member":{"shape":"WorkflowStepSummary"} } }, - "documentation":"This API reference provides descriptions, syntax, and other details about each of the actions and data types for AWS Migration Hub Orchestrator. he topic for each action shows the API request parameters and the response. Alternatively, you can use one of the AWS SDKs to access an API that is tailored to the programming language or platform that you're using.
" + "documentation":"This API reference provides descriptions, syntax, and other details about each of the actions and data types for AWS Migration Hub Orchestrator. The topic for each action shows the API request parameters and responses. Alternatively, you can use one of the AWS SDKs to access an API that is tailored to the programming language or platform that you're using.
" } diff --git a/botocore/data/quicksight/2018-04-01/service-2.json b/botocore/data/quicksight/2018-04-01/service-2.json index c9f17d960d..e7b1b5d208 100644 --- a/botocore/data/quicksight/2018-04-01/service-2.json +++ b/botocore/data/quicksight/2018-04-01/service-2.json @@ -6320,7 +6320,7 @@ "ColumnConfigurationList":{ "type":"list", "member":{"shape":"ColumnConfiguration"}, - "max":200 + "max":2000 }, "ColumnDataRole":{ "type":"string", @@ -6603,6 +6603,10 @@ "Aggregation":{ "shape":"AggregationFunction", "documentation":"The aggregation function of the column tooltip item.
" + }, + "TooltipTarget":{ + "shape":"TooltipTarget", + "documentation":"Determines the target of the column tooltip item in a combo chart visual.
" } }, "documentation":"The tooltip item for the columns that are not part of a field well.
" @@ -14876,6 +14880,10 @@ "Visibility":{ "shape":"Visibility", "documentation":"The visibility of the tooltip item.
" + }, + "TooltipTarget":{ + "shape":"TooltipTarget", + "documentation":"Determines the target of the field tooltip item in a combo chart visual.
" } }, "documentation":"The tooltip item for the fields.
" @@ -16363,7 +16371,7 @@ }, "AuthorizedResourceArns":{ "shape":"ArnList", - "documentation":"The Amazon Resource Names (ARNs) for the Amazon QuickSight resources that the user is authorized to access during the lifetime of the session. If you choose Dashboard
embedding experience, pass the list of dashboard ARNs in the account that you want the user to be able to view. Currently, you can pass up to 25 dashboard ARNs in each API call.
The Amazon Resource Names (ARNs) for the Amazon QuickSight resources that the user is authorized to access during the lifetime of the session.
If you choose Dashboard
embedding experience, pass the list of dashboard ARNs in the account that you want the user to be able to view.
Currently, you can pass up to 25 dashboard ARNs in each API call.
" }, "ExperienceConfiguration":{ "shape":"AnonymousUserEmbeddingExperienceConfiguration", @@ -28251,6 +28259,14 @@ }, "documentation":"The display options for the visual tooltip.
" }, + "TooltipTarget":{ + "type":"string", + "enum":[ + "BOTH", + "BAR", + "LINE" + ] + }, "TooltipTitleType":{ "type":"string", "enum":[ diff --git a/botocore/data/sagemaker/2017-07-24/service-2.json b/botocore/data/sagemaker/2017-07-24/service-2.json index 2d32a93f54..4df8df84c3 100644 --- a/botocore/data/sagemaker/2017-07-24/service-2.json +++ b/botocore/data/sagemaker/2017-07-24/service-2.json @@ -486,7 +486,7 @@ "errors":[ {"shape":"ResourceLimitExceeded"} ], - "documentation":"Creates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig
API, and then create an endpoint with the CreateEndpoint
API. SageMaker then deploys all of the containers that you defined for the model in the hosting environment.
For an example that calls this method when deploying a model to SageMaker hosting services, see Create a Model (Amazon Web Services SDK for Python (Boto 3)).
To run a batch transform using your model, you start a job with the CreateTransformJob
API. SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
In the request, you also provide an IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other Amazon Web Services resources, you grant necessary permissions via this role.
" + "documentation":"Creates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig
API, and then create an endpoint with the CreateEndpoint
API. SageMaker then deploys all of the containers that you defined for the model in the hosting environment.
To run a batch transform using your model, you start a job with the CreateTransformJob
API. SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
In the request, you also provide an IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other Amazon Web Services resources, you grant necessary permissions via this role.
" }, "CreateModelBiasJobDefinition":{ "name":"CreateModelBiasJobDefinition", @@ -3607,7 +3607,7 @@ {"shape":"ResourceNotFound"}, {"shape":"ResourceLimitExceeded"} ], - "documentation":"Updates the feature group by either adding features or updating the online store configuration. Use one of the following request parameters at a time while using the UpdateFeatureGroup
API.
You can add features for your feature group using the FeatureAdditions
request parameter. Features cannot be removed from a feature group.
You can update the online store configuration by using the OnlineStoreConfig
request parameter. If a TtlDuration
is specified, the default TtlDuration
applies for all records added to the feature group after the feature group is updated. If a record level TtlDuration
exists from using the PutRecord
API, the record level TtlDuration
applies to that record instead of the default TtlDuration
.
Updates the feature group by either adding features or updating the online store configuration. Use one of the following request parameters at a time while using the UpdateFeatureGroup
API.
You can add features for your feature group using the FeatureAdditions
request parameter. Features cannot be removed from a feature group.
You can update the online store configuration by using the OnlineStoreConfig
request parameter. If a TtlDuration
is specified, the default TtlDuration
applies for all records added to the feature group after the feature group is updated. If a record level TtlDuration
exists from using the PutRecord
API, the record level TtlDuration
applies to that record instead of the default TtlDuration
. To remove the default TtlDuration
from an existing feature group, use the UpdateFeatureGroup
API and set the TtlDuration
Unit
and Value
to null
.
The name of the objective metric used to measure the predictive quality of a machine learning system. During training, the model's parameters are updated iteratively to optimize its performance based on the feedback provided by the objective metric when evaluating the model on the validation dataset.
The list of available metrics supported by Autopilot and the default metric applied when you do not specify a metric name explicitly depend on the problem type.
For tabular problem types:
List of available metrics:
Regression: InferenceLatency
, MAE
, MSE
, R2
, RMSE
Binary classification: Accuracy
, AUC
, BalancedAccuracy
, F1
, InferenceLatency
, LogLoss
, Precision
, Recall
Multiclass classification: Accuracy
, BalancedAccuracy
, F1macro
, InferenceLatency
, LogLoss
, PrecisionMacro
, RecallMacro
For a description of each metric, see Autopilot metrics for classification and regression.
Default objective metrics:
Regression: MSE
.
Binary classification: F1
.
Multiclass classification: Accuracy
.
For image or text classification problem types:
List of available metrics: Accuracy
For a description of each metric, see Autopilot metrics for text and image classification.
Default objective metrics: Accuracy
For time-series forecasting problem types:
List of available metrics: RMSE
, wQL
, Average wQL
, MASE
, MAPE
, WAPE
For a description of each metric, see Autopilot metrics for time-series forecasting.
Default objective metrics: AverageWeightedQuantileLoss
For text generation problem types (LLMs fine-tuning): Fine-tuning language models in Autopilot does not require setting the AutoMLJobObjective
field. Autopilot fine-tunes LLMs without requiring multiple candidates to be trained and evaluated. Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a default objective metric, the cross-entropy loss. After fine-tuning a language model, you can evaluate the quality of its generated text using different metrics. For a list of the available metrics, see Metrics for fine-tuning LLMs in Autopilot.
The name of the objective metric used to measure the predictive quality of a machine learning system. During training, the model's parameters are updated iteratively to optimize its performance based on the feedback provided by the objective metric when evaluating the model on the validation dataset.
The list of available metrics supported by Autopilot and the default metric applied when you do not specify a metric name explicitly depend on the problem type.
For tabular problem types:
List of available metrics:
Regression: MAE
, MSE
, R2
, RMSE
Binary classification: Accuracy
, AUC
, BalancedAccuracy
, F1
, Precision
, Recall
Multiclass classification: Accuracy
, BalancedAccuracy
, F1macro
, PrecisionMacro
, RecallMacro
For a description of each metric, see Autopilot metrics for classification and regression.
Default objective metrics:
Regression: MSE
.
Binary classification: F1
.
Multiclass classification: Accuracy
.
For image or text classification problem types:
List of available metrics: Accuracy
For a description of each metric, see Autopilot metrics for text and image classification.
Default objective metrics: Accuracy
For time-series forecasting problem types:
List of available metrics: RMSE
, wQL
, Average wQL
, MASE
, MAPE
, WAPE
For a description of each metric, see Autopilot metrics for time-series forecasting.
Default objective metrics: AverageWeightedQuantileLoss
For text generation problem types (LLMs fine-tuning): Fine-tuning language models in Autopilot does not require setting the AutoMLJobObjective
field. Autopilot fine-tunes LLMs without requiring multiple candidates to be trained and evaluated. Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a default objective metric, the cross-entropy loss. After fine-tuning a language model, you can evaluate the quality of its generated text using different metrics. For a list of the available metrics, see Metrics for fine-tuning LLMs in Autopilot.
Specifies a metric to minimize or maximize as the objective of an AutoML job.
" @@ -9476,7 +9476,7 @@ }, "InferenceSpecification":{ "shape":"InferenceSpecification", - "documentation":"Specifies details about inference jobs that can be run with models based on this model package, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the model package supports for inference.
Specifies details about inference jobs that you can run with models based on this model package, including the following information:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the model package supports for inference.
Indicates if you want to skip model validation.
" + }, + "SourceUri":{ + "shape":"ModelPackageSourceUri", + "documentation":"The URI of the source for the model package. If you want to clone a model package, set it to the model package Amazon Resource Name (ARN). If you want to register a model, set it to the model ARN.
" } } }, @@ -12085,7 +12089,7 @@ }, "CreationTime":{ "shape":"Timestamp", - "documentation":"The creation time.
" + "documentation":"The creation time of the application.
After an application has been shut down for 24 hours, SageMaker deletes all metadata for the application. To be considered an update and retain application metadata, applications must be restarted within 24 hours after the previous application has been shut down. After this time window, creation of an application is considered a new application rather than an update of the previous application.
Details about inference jobs that can be run with models based on this model package.
" + "documentation":"Details about inference jobs that you can run with models based on this model package.
" }, "SourceAlgorithmSpecification":{ "shape":"SourceAlgorithmSpecification", @@ -14775,6 +14779,10 @@ "SkipModelValidation":{ "shape":"SkipModelValidation", "documentation":"Indicates if you want to skip model validation.
" + }, + "SourceUri":{ + "shape":"ModelPackageSourceUri", + "documentation":"The URI of the source for the model package.
" } } }, @@ -17472,7 +17480,7 @@ "type":"map", "key":{"shape":"EnvironmentKey"}, "value":{"shape":"EnvironmentValue"}, - "max":16 + "max":100 }, "EnvironmentParameter":{ "type":"structure", @@ -21029,7 +21037,7 @@ "FileSystemConfig":{"shape":"FileSystemConfig"}, "ContainerConfig":{"shape":"ContainerConfig"} }, - "documentation":"The configuration for the file system and kernels in a SageMaker image running as a JupyterLab app.
" + "documentation":"The configuration for the file system and kernels in a SageMaker image running as a JupyterLab app. The FileSystemConfig
object is not supported.
Metrics that measure bais in a model.
" + "documentation":"Metrics that measure bias in a model.
" }, "Explainability":{ "shape":"Explainability", @@ -26794,6 +26802,10 @@ "shape":"AdditionalInferenceSpecifications", "documentation":"An array of additional Inference Specification objects.
" }, + "SourceUri":{ + "shape":"ModelPackageSourceUri", + "documentation":"The URI of the source for the model package.
" + }, "Tags":{ "shape":"TagList", "documentation":"A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
" @@ -26845,6 +26857,10 @@ "shape":"Url", "documentation":"The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip
compressed tar archive (.tar.gz
suffix).
The model artifacts must be in an S3 bucket that is in the same region as the model package.
Specifies the location of ML model data to deploy during endpoint creation.
" + }, "ProductId":{ "shape":"ProductId", "documentation":"The Amazon Web Services Marketplace product ID of the model package.
" @@ -26986,6 +27002,12 @@ "CreationTime" ] }, + "ModelPackageSourceUri":{ + "type":"string", + "max":1024, + "min":0, + "pattern":"[\\p{L}\\p{M}\\p{Z}\\p{N}\\p{P}]{0,1024}" + }, "ModelPackageStatus":{ "type":"string", "enum":[ @@ -32848,6 +32870,10 @@ "shape":"Url", "documentation":"The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip
compressed tar archive (.tar.gz
suffix).
The model artifacts must be in an S3 bucket that is in the same Amazon Web Services region as the algorithm.
Specifies the location of ML model data to deploy during endpoint creation.
" + }, "AlgorithmName":{ "shape":"ArnOrName", "documentation":"The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.
" @@ -36395,6 +36421,14 @@ "AdditionalInferenceSpecificationsToAdd":{ "shape":"AdditionalInferenceSpecifications", "documentation":"An array of additional Inference Specification objects to be added to the existing array additional Inference Specification. Total number of additional Inference Specifications can not exceed 15. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
" + }, + "InferenceSpecification":{ + "shape":"InferenceSpecification", + "documentation":"Specifies details about inference jobs that you can run with models based on this model package, including the following information:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the model package supports for inference.
The URI of the source for the model package.
" } } }, @@ -37200,14 +37234,14 @@ "members":{ "Key":{ "shape":"VisibilityConditionsKey", - "documentation":"The key that specifies the tag that you're using to filter the search results. It must be in the following format: Tags.<key>/EqualsIfExists
.
The key that specifies the tag that you're using to filter the search results. It must be in the following format: Tags.<key>
.
The value for the tag that you're using to filter the search results.
" } }, - "documentation":"The list of key-value pairs that you specify for your resources.
" + "documentation":"The list of key-value pairs used to filter your search results. If a search result contains a key from your list, it is included in the final search response if the value associated with the key in the result matches the value you specified. If the value doesn't match, the result is excluded from the search response. Any resources that don't have a key from the list that you've provided will also be included in the search response.
" }, "VisibilityConditionsKey":{ "type":"string", diff --git a/botocore/data/securitylake/2018-05-10/service-2.json b/botocore/data/securitylake/2018-05-10/service-2.json index 165dbb1905..e0fd1f2a33 100644 --- a/botocore/data/securitylake/2018-05-10/service-2.json +++ b/botocore/data/securitylake/2018-05-10/service-2.json @@ -707,7 +707,7 @@ "type":"list", "member":{"shape":"AwsLogSourceConfiguration"}, "max":50, - "min":0 + "min":1 }, "AwsLogSourceName":{ "type":"string", @@ -717,7 +717,9 @@ "SH_FINDINGS", "CLOUD_TRAIL_MGMT", "LAMBDA_EXECUTION", - "S3_DATA" + "S3_DATA", + "EKS_AUDIT", + "WAF" ] }, "AwsLogSourceResource":{ @@ -736,7 +738,8 @@ }, "AwsLogSourceResourceList":{ "type":"list", - "member":{"shape":"AwsLogSourceResource"} + "member":{"shape":"AwsLogSourceResource"}, + "min":1 }, "AwsLogSourceVersion":{ "type":"string", @@ -799,7 +802,10 @@ }, "CreateCustomLogSourceRequest":{ "type":"structure", - "required":["sourceName"], + "required":[ + "configuration", + "sourceName" + ], "members":{ "configuration":{ "shape":"CustomLogSourceConfiguration", @@ -861,7 +867,6 @@ }, "CreateDataLakeOrganizationConfigurationRequest":{ "type":"structure", - "required":["autoEnableNewAccount"], "members":{ "autoEnableNewAccount":{ "shape":"DataLakeAutoEnableNewAccountConfigurationList", @@ -1095,7 +1100,8 @@ }, "DataLakeAutoEnableNewAccountConfigurationList":{ "type":"list", - "member":{"shape":"DataLakeAutoEnableNewAccountConfiguration"} + "member":{"shape":"DataLakeAutoEnableNewAccountConfiguration"}, + "min":1 }, "DataLakeConfiguration":{ "type":"structure", @@ -1122,7 +1128,8 @@ }, "DataLakeConfigurationList":{ "type":"list", - "member":{"shape":"DataLakeConfiguration"} + "member":{"shape":"DataLakeConfiguration"}, + "min":1 }, "DataLakeEncryptionConfiguration":{ "type":"structure", @@ -1412,7 +1419,6 @@ }, "DeleteDataLakeOrganizationConfigurationRequest":{ "type":"structure", - "required":["autoEnableNewAccount"], "members":{ "autoEnableNewAccount":{ "shape":"DataLakeAutoEnableNewAccountConfigurationList", @@ -1765,7 +1771,7 @@ "members":{ "resourceArn":{ "shape":"AmazonResourceName", - "documentation":"The Amazon Resource Name (ARN) of the Amazon Security Lake resource to retrieve the tags for.
", + "documentation":"The Amazon Resource Name (ARN) of the Amazon Security Lake resource for which you want to retrieve the tags.
", "location":"uri", "locationName":"resourceArn" } @@ -1909,7 +1915,7 @@ }, "RoleArn":{ "type":"string", - "pattern":"^arn:.*$" + "pattern":"^arn:(aws[a-zA-Z-]*)?:iam::\\d{12}:role/?[a-zA-Z_0-9+=,.@\\-_/]+$" }, "S3BucketArn":{"type":"string"}, "S3URI":{ @@ -2191,6 +2197,10 @@ "configurations":{ "shape":"DataLakeConfigurationList", "documentation":"Specify the Region or Regions that will contribute data to the rollup region.
" + }, + "metaStoreManagerRoleArn":{ + "shape":"RoleArn", + "documentation":"The Amazon Resource Name (ARN) used to create and update the Glue table. This table contains partitions generated by the ingestion and normalization of Amazon Web Services log sources and custom sources.
" } } }, From 73acc04bc8dd6464594f489026f2173c5abd5b21 Mon Sep 17 00:00:00 2001 From: aws-sdk-python-automation