Struct aws_sdk_iotevents::Client

pub struct Client { /* private fields */ }

Client for AWS IoT Events

Client for invoking operations on AWS IoT Events. Each operation on AWS IoT Events is a method on this this struct. .send() MUST be invoked on the generated operations to dispatch the request to the service.

Constructing a Client

A Config is required to construct a client. For most use cases, the aws-config crate should be used to automatically resolve this config using aws_config::load_from_env(), since this will resolve an SdkConfig which can be shared across multiple different AWS SDK clients. This config resolution process can be customized by calling aws_config::from_env() instead, which returns a ConfigLoader that uses the builder pattern to customize the default config.

In the simplest case, creating a client looks as follows:

let config = aws_config::load_from_env().await;
let client = aws_sdk_iotevents::Client::new(&config);

Occasionally, SDKs may have additional service-specific values that can be set on the Config that is absent from SdkConfig, or slightly different settings for a specific client may be desired. The Config struct implements From<&SdkConfig>, so setting these specific settings can be done as follows:

let sdk_config = ::aws_config::load_from_env().await;
let config = aws_sdk_iotevents::config::Builder::from(&sdk_config)
    .some_service_specific_setting("value")
    .build();

See the aws-config docs and Config for more information on customizing configuration.

Note: Client construction is expensive due to connection thread pool initialization, and should be done once at application start-up.

Using the Client

A client has a function for every operation that can be performed by the service. For example, the CreateAlarmModel operation has a Client::create_alarm_model, function which returns a builder for that operation. The fluent builder ultimately has a send() function that returns an async future that returns a result, as illustrated below:

let result = client.create_alarm_model()
    .alarm_model_name("example")
    .send()
    .await;

The underlying HTTP requests that get made by this can be modified with the customize_operation function on the fluent builder. See the customize module for more information.

Implementations

impl Client

pub fn create_alarm_model(&self) -> CreateAlarmModelFluentBuilder

Constructs a fluent builder for the CreateAlarmModel operation.

• The fluent builder is configurable:
  • alarm_model_name(impl Into<String>) / set_alarm_model_name(Option<String>):
    required: true
    

    A unique name that helps you identify the alarm model. You can’t change this name after you create the alarm model.

    
    
  • alarm_model_description(impl Into<String>) / set_alarm_model_description(Option<String>):
    required: false
    

    A description that tells you what the alarm model detects.

    
    
  • role_arn(impl Into<String>) / set_role_arn(Option<String>):
    required: true
    

    The ARN of the IAM role that allows the alarm to perform actions and access AWS resources. For more information, see Amazon Resource Names (ARNs) in the AWS General Reference.

    
    
  • tags(Tag) / set_tags(Option<Vec::<Tag>>):
    required: false
    

    A list of key-value pairs that contain metadata for the alarm model. The tags help you manage the alarm model. For more information, see Tagging your AWS IoT Events resources in the AWS IoT Events Developer Guide.

    You can create up to 50 tags for one alarm model.

    
    
  • key(impl Into<String>) / set_key(Option<String>):
    required: false
    

    An input attribute used as a key to create an alarm. AWS IoT Events routes inputs associated with this key to the alarm.

    
    
  • severity(i32) / set_severity(Option<i32>):
    required: false
    

    A non-negative integer that reflects the severity level of the alarm.

    
    
  • alarm_rule(AlarmRule) / set_alarm_rule(Option<AlarmRule>):
    required: true
    

    Defines when your alarm is invoked.

    
    
  • alarm_notification(AlarmNotification) / set_alarm_notification(Option<AlarmNotification>):
    required: false
    

    Contains information about one or more notification actions.

    
    
  • alarm_event_actions(AlarmEventActions) / set_alarm_event_actions(Option<AlarmEventActions>):
    required: false
    

    Contains information about one or more alarm actions.

    
    
  • alarm_capabilities(AlarmCapabilities) / set_alarm_capabilities(Option<AlarmCapabilities>):
    required: false
    

    Contains the configuration information of alarm state changes.

    
    
• On success, responds with CreateAlarmModelOutput with field(s):
  • creation_time(Option<DateTime>):

    The time the alarm model was created, in the Unix epoch format.

  • alarm_model_arn(Option<String>):

    The ARN of the alarm model. For more information, see Amazon Resource Names (ARNs) in the AWS General Reference.

  • alarm_model_version(Option<String>):

    The version of the alarm model.

  • last_update_time(Option<DateTime>):

    The time the alarm model was last updated, in the Unix epoch format.

  • status(Option<AlarmModelVersionStatus>):

    The status of the alarm model. The status can be one of the following values:

    • ACTIVE - The alarm model is active and it’s ready to evaluate data.

    • ACTIVATING - AWS IoT Events is activating your alarm model. Activating an alarm model can take up to a few minutes.

    • INACTIVE - The alarm model is inactive, so it isn’t ready to evaluate data. Check your alarm model information and update the alarm model.

    • FAILED - You couldn’t create or update the alarm model. Check your alarm model information and try again.

• On failure, responds with SdkError<CreateAlarmModelError>

impl Client

pub fn create_detector_model(&self) -> CreateDetectorModelFluentBuilder

Constructs a fluent builder for the CreateDetectorModel operation.

• The fluent builder is configurable:
  • detector_model_name(impl Into<String>) / set_detector_model_name(Option<String>):
    required: true
    

    The name of the detector model.

    
    
  • detector_model_definition(DetectorModelDefinition) / set_detector_model_definition(Option<DetectorModelDefinition>):
    required: true
    

    Information that defines how the detectors operate.

    
    
  • detector_model_description(impl Into<String>) / set_detector_model_description(Option<String>):
    required: false
    

    A brief description of the detector model.

    
    
  • key(impl Into<String>) / set_key(Option<String>):
    required: false
    

    The input attribute key used to identify a device or system to create a detector (an instance of the detector model) and then to route each input received to the appropriate detector (instance). This parameter uses a JSON-path expression in the message payload of each input to specify the attribute-value pair that is used to identify the device associated with the input.

    
    
  • role_arn(impl Into<String>) / set_role_arn(Option<String>):
    required: true
    

    The ARN of the role that grants permission to AWS IoT Events to perform its operations.

    
    
  • tags(Tag) / set_tags(Option<Vec::<Tag>>):
    required: false
    

    Metadata that can be used to manage the detector model.

    
    
  • evaluation_method(EvaluationMethod) / set_evaluation_method(Option<EvaluationMethod>):
    required: false
    

    Information about the order in which events are evaluated and how actions are executed.

    
    
• On success, responds with CreateDetectorModelOutput with field(s):
  • detector_model_configuration(Option<DetectorModelConfiguration>):

    Information about how the detector model is configured.

• On failure, responds with SdkError<CreateDetectorModelError>

impl Client

pub fn create_input(&self) -> CreateInputFluentBuilder

Constructs a fluent builder for the CreateInput operation.

• The fluent builder is configurable:
  • input_name(impl Into<String>) / set_input_name(Option<String>):
    required: true
    

    The name you want to give to the input.

    
    
  • input_description(impl Into<String>) / set_input_description(Option<String>):
    required: false
    

    A brief description of the input.

    
    
  • input_definition(InputDefinition) / set_input_definition(Option<InputDefinition>):
    required: true
    

    The definition of the input.

    
    
  • tags(Tag) / set_tags(Option<Vec::<Tag>>):
    required: false
    

    Metadata that can be used to manage the input.

    
    
• On success, responds with CreateInputOutput with field(s):
  • input_configuration(Option<InputConfiguration>):

    Information about the configuration of the input.

• On failure, responds with SdkError<CreateInputError>

impl Client

pub fn delete_alarm_model(&self) -> DeleteAlarmModelFluentBuilder

Constructs a fluent builder for the DeleteAlarmModel operation.

• The fluent builder is configurable:
  • alarm_model_name(impl Into<String>) / set_alarm_model_name(Option<String>):
    required: true
    

    The name of the alarm model.

    
    
• On success, responds with DeleteAlarmModelOutput
• On failure, responds with SdkError<DeleteAlarmModelError>

impl Client

pub fn delete_detector_model(&self) -> DeleteDetectorModelFluentBuilder

Constructs a fluent builder for the DeleteDetectorModel operation.

• The fluent builder is configurable:
  • detector_model_name(impl Into<String>) / set_detector_model_name(Option<String>):
    required: true
    

    The name of the detector model to be deleted.

    
    
• On success, responds with DeleteDetectorModelOutput
• On failure, responds with SdkError<DeleteDetectorModelError>

impl Client

pub fn delete_input(&self) -> DeleteInputFluentBuilder

Constructs a fluent builder for the DeleteInput operation.

• The fluent builder is configurable:
  • input_name(impl Into<String>) / set_input_name(Option<String>):
    required: true
    

    The name of the input to delete.

    
    
• On success, responds with DeleteInputOutput
• On failure, responds with SdkError<DeleteInputError>

impl Client

pub fn describe_alarm_model(&self) -> DescribeAlarmModelFluentBuilder

Constructs a fluent builder for the DescribeAlarmModel operation.

• The fluent builder is configurable:
  • alarm_model_name(impl Into<String>) / set_alarm_model_name(Option<String>):
    required: true
    

    The name of the alarm model.

    
    
  • alarm_model_version(impl Into<String>) / set_alarm_model_version(Option<String>):
    required: false
    

    The version of the alarm model.

    
    
• On success, responds with DescribeAlarmModelOutput with field(s):
  • creation_time(Option<DateTime>):

    The time the alarm model was created, in the Unix epoch format.

  • alarm_model_arn(Option<String>):

    The ARN of the alarm model. For more information, see Amazon Resource Names (ARNs) in the AWS General Reference.

  • alarm_model_version(Option<String>):

    The version of the alarm model.

  • last_update_time(Option<DateTime>):

    The time the alarm model was last updated, in the Unix epoch format.

  • status(Option<AlarmModelVersionStatus>):

    The status of the alarm model. The status can be one of the following values:

    • ACTIVE - The alarm model is active and it’s ready to evaluate data.

    • ACTIVATING - AWS IoT Events is activating your alarm model. Activating an alarm model can take up to a few minutes.

    • INACTIVE - The alarm model is inactive, so it isn’t ready to evaluate data. Check your alarm model information and update the alarm model.

    • FAILED - You couldn’t create or update the alarm model. Check your alarm model information and try again.

  • status_message(Option<String>):

    Contains information about the status of the alarm model.

  • alarm_model_name(Option<String>):

    The name of the alarm model.

  • alarm_model_description(Option<String>):

    The description of the alarm model.

  • role_arn(Option<String>):

    The ARN of the IAM role that allows the alarm to perform actions and access AWS resources. For more information, see Amazon Resource Names (ARNs) in the AWS General Reference.

  • key(Option<String>):

    An input attribute used as a key to create an alarm. AWS IoT Events routes inputs associated with this key to the alarm.

  • severity(Option<i32>):

    A non-negative integer that reflects the severity level of the alarm.

  • alarm_rule(Option<AlarmRule>):

    Defines when your alarm is invoked.

  • alarm_notification(Option<AlarmNotification>):

    Contains information about one or more notification actions.

  • alarm_event_actions(Option<AlarmEventActions>):

    Contains information about one or more alarm actions.

  • alarm_capabilities(Option<AlarmCapabilities>):

    Contains the configuration information of alarm state changes.

• On failure, responds with SdkError<DescribeAlarmModelError>

impl Client

pub fn describe_detector_model(&self) -> DescribeDetectorModelFluentBuilder

Constructs a fluent builder for the DescribeDetectorModel operation.

• The fluent builder is configurable:
  • detector_model_name(impl Into<String>) / set_detector_model_name(Option<String>):
    required: true
    

    The name of the detector model.

    
    
  • detector_model_version(impl Into<String>) / set_detector_model_version(Option<String>):
    required: false
    

    The version of the detector model.

    
    
• On success, responds with DescribeDetectorModelOutput with field(s):
  • detector_model(Option<DetectorModel>):

    Information about the detector model.

• On failure, responds with SdkError<DescribeDetectorModelError>

impl Client

pub fn describe_detector_model_analysis( &self ) -> DescribeDetectorModelAnalysisFluentBuilder

Constructs a fluent builder for the DescribeDetectorModelAnalysis operation.

• The fluent builder is configurable:
  • analysis_id(impl Into<String>) / set_analysis_id(Option<String>):
    required: true
    

    The ID of the analysis result that you want to retrieve.

    
    
• On success, responds with DescribeDetectorModelAnalysisOutput with field(s):
  • status(Option<AnalysisStatus>):

    The status of the analysis activity. The status can be one of the following values:

    • RUNNING - AWS IoT Events is analyzing your detector model. This process can take several minutes to complete.

    • COMPLETE - AWS IoT Events finished analyzing your detector model.

    • FAILED - AWS IoT Events couldn’t analyze your detector model. Try again later.

• On failure, responds with SdkError<DescribeDetectorModelAnalysisError>

impl Client

pub fn describe_input(&self) -> DescribeInputFluentBuilder

Constructs a fluent builder for the DescribeInput operation.

• The fluent builder is configurable:
  • input_name(impl Into<String>) / set_input_name(Option<String>):
    required: true
    

    The name of the input.

    
    
• On success, responds with DescribeInputOutput with field(s):
  • input(Option<Input>):

    Information about the input.

• On failure, responds with SdkError<DescribeInputError>

impl Client

pub fn describe_logging_options(&self) -> DescribeLoggingOptionsFluentBuilder

Constructs a fluent builder for the DescribeLoggingOptions operation.

• The fluent builder takes no input, just send it.
• On success, responds with DescribeLoggingOptionsOutput with field(s):
  • logging_options(Option<LoggingOptions>):

    The current settings of the AWS IoT Events logging options.

• On failure, responds with SdkError<DescribeLoggingOptionsError>

impl Client

pub fn get_detector_model_analysis_results( &self ) -> GetDetectorModelAnalysisResultsFluentBuilder

Constructs a fluent builder for the GetDetectorModelAnalysisResults operation.

• The fluent builder is configurable:
  • analysis_id(impl Into<String>) / set_analysis_id(Option<String>):
    required: true
    

    The ID of the analysis result that you want to retrieve.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token that you can use to return the next set of results.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to be returned per request.

    
    
• On success, responds with GetDetectorModelAnalysisResultsOutput with field(s):
  • analysis_results(Option<Vec::<AnalysisResult>>):

    Contains information about one or more analysis results.

  • next_token(Option<String>):

    The token that you can use to return the next set of results, or null if there are no more results.

• On failure, responds with SdkError<GetDetectorModelAnalysisResultsError>

impl Client

pub fn list_alarm_model_versions(&self) -> ListAlarmModelVersionsFluentBuilder

Constructs a fluent builder for the ListAlarmModelVersions operation.

• The fluent builder is configurable:
  • alarm_model_name(impl Into<String>) / set_alarm_model_name(Option<String>):
    required: true
    

    The name of the alarm model.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token that you can use to return the next set of results.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to be returned per request.

    
    
• On success, responds with ListAlarmModelVersionsOutput with field(s):
  • alarm_model_version_summaries(Option<Vec::<AlarmModelVersionSummary>>):

    A list that summarizes each alarm model version.

  • next_token(Option<String>):

    The token that you can use to return the next set of results, or null if there are no more results.

• On failure, responds with SdkError<ListAlarmModelVersionsError>

impl Client

pub fn list_alarm_models(&self) -> ListAlarmModelsFluentBuilder

Constructs a fluent builder for the ListAlarmModels operation.

• The fluent builder is configurable:
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token that you can use to return the next set of results.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to be returned per request.

    
    
• On success, responds with ListAlarmModelsOutput with field(s):
  • alarm_model_summaries(Option<Vec::<AlarmModelSummary>>):

    A list that summarizes each alarm model.

  • next_token(Option<String>):

    The token that you can use to return the next set of results, or null if there are no more results.

• On failure, responds with SdkError<ListAlarmModelsError>

impl Client

pub fn list_detector_model_versions( &self ) -> ListDetectorModelVersionsFluentBuilder

Constructs a fluent builder for the ListDetectorModelVersions operation.

• The fluent builder is configurable:
  • detector_model_name(impl Into<String>) / set_detector_model_name(Option<String>):
    required: true
    

    The name of the detector model whose versions are returned.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token that you can use to return the next set of results.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to be returned per request.

    
    
• On success, responds with ListDetectorModelVersionsOutput with field(s):
  • detector_model_version_summaries(Option<Vec::<DetectorModelVersionSummary>>):

    Summary information about the detector model versions.

  • next_token(Option<String>):

    The token that you can use to return the next set of results, or null if there are no more results.

• On failure, responds with SdkError<ListDetectorModelVersionsError>

impl Client

pub fn list_detector_models(&self) -> ListDetectorModelsFluentBuilder

Constructs a fluent builder for the ListDetectorModels operation.

• The fluent builder is configurable:
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token that you can use to return the next set of results.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to be returned per request.

    
    
• On success, responds with ListDetectorModelsOutput with field(s):
  • detector_model_summaries(Option<Vec::<DetectorModelSummary>>):

    Summary information about the detector models.

  • next_token(Option<String>):

    The token that you can use to return the next set of results, or null if there are no more results.

• On failure, responds with SdkError<ListDetectorModelsError>

impl Client

pub fn list_input_routings(&self) -> ListInputRoutingsFluentBuilder

Constructs a fluent builder for the ListInputRoutings operation.

• The fluent builder is configurable:
  • input_identifier(InputIdentifier) / set_input_identifier(Option<InputIdentifier>):
    required: true
    

    The identifer of the routed input.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to be returned per request.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token that you can use to return the next set of results.

    
    
• On success, responds with ListInputRoutingsOutput with field(s):
  • routed_resources(Option<Vec::<RoutedResource>>):

    Summary information about the routed resources.

  • next_token(Option<String>):

    The token that you can use to return the next set of results, or null if there are no more results.

• On failure, responds with SdkError<ListInputRoutingsError>

impl Client

pub fn list_inputs(&self) -> ListInputsFluentBuilder

Constructs a fluent builder for the ListInputs operation.

• The fluent builder is configurable:
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token that you can use to return the next set of results.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to be returned per request.

    
    
• On success, responds with ListInputsOutput with field(s):
  • input_summaries(Option<Vec::<InputSummary>>):

    Summary information about the inputs.

  • next_token(Option<String>):

    The token that you can use to return the next set of results, or null if there are no more results.

• On failure, responds with SdkError<ListInputsError>

impl Client

pub fn list_tags_for_resource(&self) -> ListTagsForResourceFluentBuilder

Constructs a fluent builder for the ListTagsForResource operation.

• The fluent builder is configurable:
  • resource_arn(impl Into<String>) / set_resource_arn(Option<String>):
    required: true
    

    The ARN of the resource.

    
    
• On success, responds with ListTagsForResourceOutput with field(s):
  • tags(Option<Vec::<Tag>>):

    The list of tags assigned to the resource.

• On failure, responds with SdkError<ListTagsForResourceError>

impl Client

pub fn put_logging_options(&self) -> PutLoggingOptionsFluentBuilder

Constructs a fluent builder for the PutLoggingOptions operation.

• The fluent builder is configurable:
  • logging_options(LoggingOptions) / set_logging_options(Option<LoggingOptions>):
    required: true
    

    The new values of the AWS IoT Events logging options.

    
    
• On success, responds with PutLoggingOptionsOutput
• On failure, responds with SdkError<PutLoggingOptionsError>

impl Client

pub fn start_detector_model_analysis( &self ) -> StartDetectorModelAnalysisFluentBuilder

Constructs a fluent builder for the StartDetectorModelAnalysis operation.

• The fluent builder is configurable:
  • detector_model_definition(DetectorModelDefinition) / set_detector_model_definition(Option<DetectorModelDefinition>):
    required: true
    

    Information that defines how a detector operates.

    
    
• On success, responds with StartDetectorModelAnalysisOutput with field(s):
  • analysis_id(Option<String>):

    The ID that you can use to retrieve the analysis result.

• On failure, responds with SdkError<StartDetectorModelAnalysisError>

impl Client

pub fn tag_resource(&self) -> TagResourceFluentBuilder

Constructs a fluent builder for the TagResource operation.

• The fluent builder is configurable:
  • resource_arn(impl Into<String>) / set_resource_arn(Option<String>):
    required: true
    

    The ARN of the resource.

    
    
  • tags(Tag) / set_tags(Option<Vec::<Tag>>):
    required: true
    

    The new or modified tags for the resource.

    
    
• On success, responds with TagResourceOutput
• On failure, responds with SdkError<TagResourceError>

impl Client

pub fn untag_resource(&self) -> UntagResourceFluentBuilder

Constructs a fluent builder for the UntagResource operation.

• The fluent builder is configurable:
  • resource_arn(impl Into<String>) / set_resource_arn(Option<String>):
    required: true
    

    The ARN of the resource.

    
    
  • tag_keys(impl Into<String>) / set_tag_keys(Option<Vec::<String>>):
    required: true
    

    A list of the keys of the tags to be removed from the resource.

    
    
• On success, responds with UntagResourceOutput
• On failure, responds with SdkError<UntagResourceError>

impl Client

pub fn update_alarm_model(&self) -> UpdateAlarmModelFluentBuilder

Constructs a fluent builder for the UpdateAlarmModel operation.

• The fluent builder is configurable:
  • alarm_model_name(impl Into<String>) / set_alarm_model_name(Option<String>):
    required: true
    

    The name of the alarm model.

    
    
  • alarm_model_description(impl Into<String>) / set_alarm_model_description(Option<String>):
    required: false
    

    The description of the alarm model.

    
    
  • role_arn(impl Into<String>) / set_role_arn(Option<String>):
    required: true
    

    The ARN of the IAM role that allows the alarm to perform actions and access AWS resources. For more information, see Amazon Resource Names (ARNs) in the AWS General Reference.

    
    
  • severity(i32) / set_severity(Option<i32>):
    required: false
    

    A non-negative integer that reflects the severity level of the alarm.

    
    
  • alarm_rule(AlarmRule) / set_alarm_rule(Option<AlarmRule>):
    required: true
    

    Defines when your alarm is invoked.

    
    
  • alarm_notification(AlarmNotification) / set_alarm_notification(Option<AlarmNotification>):
    required: false
    

    Contains information about one or more notification actions.

    
    
  • alarm_event_actions(AlarmEventActions) / set_alarm_event_actions(Option<AlarmEventActions>):
    required: false
    

    Contains information about one or more alarm actions.

    
    
  • alarm_capabilities(AlarmCapabilities) / set_alarm_capabilities(Option<AlarmCapabilities>):
    required: false
    

    Contains the configuration information of alarm state changes.

    
    
• On success, responds with UpdateAlarmModelOutput with field(s):
  • creation_time(Option<DateTime>):

    The time the alarm model was created, in the Unix epoch format.

  • alarm_model_arn(Option<String>):

    The ARN of the alarm model. For more information, see Amazon Resource Names (ARNs) in the AWS General Reference.

  • alarm_model_version(Option<String>):

    The version of the alarm model.

  • last_update_time(Option<DateTime>):

    The time the alarm model was last updated, in the Unix epoch format.

  • status(Option<AlarmModelVersionStatus>):

    The status of the alarm model. The status can be one of the following values:

    • ACTIVE - The alarm model is active and it’s ready to evaluate data.

    • ACTIVATING - AWS IoT Events is activating your alarm model. Activating an alarm model can take up to a few minutes.

    • INACTIVE - The alarm model is inactive, so it isn’t ready to evaluate data. Check your alarm model information and update the alarm model.

    • FAILED - You couldn’t create or update the alarm model. Check your alarm model information and try again.

• On failure, responds with SdkError<UpdateAlarmModelError>

impl Client

pub fn update_detector_model(&self) -> UpdateDetectorModelFluentBuilder

Constructs a fluent builder for the UpdateDetectorModel operation.

• The fluent builder is configurable:
  • detector_model_name(impl Into<String>) / set_detector_model_name(Option<String>):
    required: true
    

    The name of the detector model that is updated.

    
    
  • detector_model_definition(DetectorModelDefinition) / set_detector_model_definition(Option<DetectorModelDefinition>):
    required: true
    

    Information that defines how a detector operates.

    
    
  • detector_model_description(impl Into<String>) / set_detector_model_description(Option<String>):
    required: false
    

    A brief description of the detector model.

    
    
  • role_arn(impl Into<String>) / set_role_arn(Option<String>):
    required: true
    

    The ARN of the role that grants permission to AWS IoT Events to perform its operations.

    
    
  • evaluation_method(EvaluationMethod) / set_evaluation_method(Option<EvaluationMethod>):
    required: false
    

    Information about the order in which events are evaluated and how actions are executed.

    
    
• On success, responds with UpdateDetectorModelOutput with field(s):
  • detector_model_configuration(Option<DetectorModelConfiguration>):

    Information about how the detector model is configured.

• On failure, responds with SdkError<UpdateDetectorModelError>

impl Client

pub fn update_input(&self) -> UpdateInputFluentBuilder

Constructs a fluent builder for the UpdateInput operation.

• The fluent builder is configurable:
  • input_name(impl Into<String>) / set_input_name(Option<String>):
    required: true
    

    The name of the input you want to update.

    
    
  • input_description(impl Into<String>) / set_input_description(Option<String>):
    required: false
    

    A brief description of the input.

    
    
  • input_definition(InputDefinition) / set_input_definition(Option<InputDefinition>):
    required: true
    

    The definition of the input.

    
    
• On success, responds with UpdateInputOutput with field(s):
  • input_configuration(Option<InputConfiguration>):

    Information about the configuration of the input.

• On failure, responds with SdkError<UpdateInputError>

impl Client

pub fn from_conf(conf: Config) -> Self

Creates a new client from the service Config.

Panics

This method will panic in the following cases:

• Retries or timeouts are enabled without a sleep_impl configured.
• Identity caching is enabled without a sleep_impl and time_source configured.
• No behavior_version is provided.

The panic message for each of these will have instructions on how to resolve them.

pub fn config(&self) -> &Config

Returns the client’s configuration.

impl Client

pub fn new(sdk_config: &SdkConfig) -> Self

Creates a new client from an SDK Config.

Panics

• This method will panic if the sdk_config is missing an async sleep implementation. If you experience this panic, set the sleep_impl on the Config passed into this function to fix it.
• This method will panic if the sdk_config is missing an HTTP connector. If you experience this panic, set the http_connector on the Config passed into this function to fix it.
• This method will panic if no BehaviorVersion is provided. If you experience this panic, set behavior_version on the Config or enable the behavior-version-latest Cargo feature.

Trait Implementations

impl Clone for Client

fn clone(&self) -> Client

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Client

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.