Struct aws_sdk_comprehendmedical::client::Client

pub struct Client<C = DynConnector, M = DefaultMiddleware, R = Standard> { /* private fields */ }

Client for AWS Comprehend Medical

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

Examples

Constructing a client and invoking an operation

    // create a shared configuration. This can be used & shared between multiple service clients.
    let shared_config = aws_config::load_from_env().await;
    let client = aws_sdk_comprehendmedical::Client::new(&shared_config);
    // invoke an operation
    /* let rsp = client
        .<operation_name>().
        .<param>("some value")
        .send().await; */

Constructing a client with custom configuration

use aws_config::RetryConfig;
    let shared_config = aws_config::load_from_env().await;
    let config = aws_sdk_comprehendmedical::config::Builder::from(&shared_config)
        .retry_config(RetryConfig::disabled())
        .build();
    let client = aws_sdk_comprehendmedical::Client::from_conf(config);

Implementations

impl<C, M, R> Client<C, M, R>

pub fn with_config(client: Client<C, M, R>, conf: Config) -> Self

Creates a client with the given service configuration.

pub fn conf(&self) -> &Config

Returns the client’s configuration.

impl<C, M, R> Client<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub fn describe_entities_detection_v2_job(
    &self
) -> DescribeEntitiesDetectionV2Job<C, M, R>

Constructs a fluent builder for the DescribeEntitiesDetectionV2Job operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The identifier that Comprehend Medical; generated for the job. The StartEntitiesDetectionV2Job operation returns this identifier in its response.

• On success, responds with DescribeEntitiesDetectionV2JobOutput with field(s):
  • comprehend_medical_async_job_properties(Option<ComprehendMedicalAsyncJobProperties>):

    An object that contains the properties associated with a detection job.

• On failure, responds with SdkError<DescribeEntitiesDetectionV2JobError>

pub fn describe_icd10_cm_inference_job(
    &self
) -> DescribeICD10CMInferenceJob<C, M, R>

Constructs a fluent builder for the DescribeICD10CMInferenceJob operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The identifier that Amazon Comprehend Medical generated for the job. The StartICD10CMInferenceJob operation returns this identifier in its response.

• On success, responds with DescribeIcd10CmInferenceJobOutput with field(s):
  • comprehend_medical_async_job_properties(Option<ComprehendMedicalAsyncJobProperties>):

    An object that contains the properties associated with a detection job.

• On failure, responds with SdkError<DescribeICD10CMInferenceJobError>

pub fn describe_phi_detection_job(&self) -> DescribePHIDetectionJob<C, M, R>

Constructs a fluent builder for the DescribePHIDetectionJob operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The identifier that Comprehend Medical; generated for the job. The StartPHIDetectionJob operation returns this identifier in its response.

• On success, responds with DescribePhiDetectionJobOutput with field(s):
  • comprehend_medical_async_job_properties(Option<ComprehendMedicalAsyncJobProperties>):

    An object that contains the properties associated with a detection job.

• On failure, responds with SdkError<DescribePHIDetectionJobError>

pub fn describe_rx_norm_inference_job(
    &self
) -> DescribeRxNormInferenceJob<C, M, R>

Constructs a fluent builder for the DescribeRxNormInferenceJob operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The identifier that Amazon Comprehend Medical generated for the job. The StartRxNormInferenceJob operation returns this identifier in its response.

• On success, responds with DescribeRxNormInferenceJobOutput with field(s):
  • comprehend_medical_async_job_properties(Option<ComprehendMedicalAsyncJobProperties>):

    An object that contains the properties associated with a detection job.

• On failure, responds with SdkError<DescribeRxNormInferenceJobError>

pub fn describe_snomedct_inference_job(
    &self
) -> DescribeSNOMEDCTInferenceJob<C, M, R>

Constructs a fluent builder for the DescribeSNOMEDCTInferenceJob operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The identifier that Amazon Comprehend Medical generated for the job. The StartSNOMEDCTInferenceJob operation returns this identifier in its response.

• On success, responds with DescribeSnomedctInferenceJobOutput with field(s):
  • comprehend_medical_async_job_properties(Option<ComprehendMedicalAsyncJobProperties>):

    Provides information about a detection job.

• On failure, responds with SdkError<DescribeSNOMEDCTInferenceJobError>

pub fn detect_entities(&self) -> DetectEntities<C, M, R>

Constructs a fluent builder for the DetectEntities operation.

• The fluent builder is configurable:
  • text(impl Into<String>) / set_text(Option<String>):

    A UTF-8 text string containing the clinical content being examined for entities. Each string must contain fewer than 20,000 bytes of characters.

• On success, responds with DetectEntitiesOutput with field(s):
  • entities(Option<Vec<Entity>>):

    The collection of medical entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence that Comprehend Medical; has in the detection and analysis. Attributes and traits of the entity are also returned.

  • unmapped_attributes(Option<Vec<UnmappedAttribute>>):

    Attributes extracted from the input text that we were unable to relate to an entity.

  • pagination_token(Option<String>):

    If the result of the previous request to DetectEntities was truncated, include the PaginationToken to fetch the next page of entities.

  • model_version(Option<String>):

    The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.

• On failure, responds with SdkError<DetectEntitiesError>

pub fn detect_entities_v2(&self) -> DetectEntitiesV2<C, M, R>

Constructs a fluent builder for the DetectEntitiesV2 operation.

• The fluent builder is configurable:
  • text(impl Into<String>) / set_text(Option<String>):

    A UTF-8 string containing the clinical content being examined for entities. Each string must contain fewer than 20,000 bytes of characters.

• On success, responds with DetectEntitiesV2Output with field(s):
  • entities(Option<Vec<Entity>>):

    The collection of medical entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence in the detection and analysis. Attributes and traits of the entity are also returned.

  • unmapped_attributes(Option<Vec<UnmappedAttribute>>):

    Attributes extracted from the input text that couldn’t be related to an entity.

  • pagination_token(Option<String>):

    If the result to the DetectEntitiesV2 operation was truncated, include the PaginationToken to fetch the next page of entities.

  • model_version(Option<String>):

    The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.

• On failure, responds with SdkError<DetectEntitiesV2Error>

pub fn detect_phi(&self) -> DetectPHI<C, M, R>

Constructs a fluent builder for the DetectPHI operation.

• The fluent builder is configurable:
  • text(impl Into<String>) / set_text(Option<String>):

    A UTF-8 text string containing the clinical content being examined for PHI entities. Each string must contain fewer than 20,000 bytes of characters.

• On success, responds with DetectPhiOutput with field(s):
  • entities(Option<Vec<Entity>>):

    The collection of PHI entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence that Comprehend Medical; has in its detection.

  • pagination_token(Option<String>):

    If the result of the previous request to DetectPHI was truncated, include the PaginationToken to fetch the next page of PHI entities.

  • model_version(Option<String>):

    The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.

• On failure, responds with SdkError<DetectPHIError>

pub fn infer_icd10_cm(&self) -> InferICD10CM<C, M, R>

Constructs a fluent builder for the InferICD10CM operation.

• The fluent builder is configurable:
  • text(impl Into<String>) / set_text(Option<String>):

    The input text used for analysis. The input for InferICD10CM is a string from 1 to 10000 characters.

• On success, responds with InferIcd10CmOutput with field(s):
  • entities(Option<Vec<Icd10CmEntity>>):

    The medical conditions detected in the text linked to ICD-10-CM concepts. If the action is successful, the service sends back an HTTP 200 response, as well as the entities detected.

  • pagination_token(Option<String>):

    If the result of the previous request to InferICD10CM was truncated, include the PaginationToken to fetch the next page of medical condition entities.

  • model_version(Option<String>):

    The version of the model used to analyze the documents, in the format n.n.n You can use this information to track the model used for a particular batch of documents.

• On failure, responds with SdkError<InferICD10CMError>

pub fn infer_rx_norm(&self) -> InferRxNorm<C, M, R>

Constructs a fluent builder for the InferRxNorm operation.

• The fluent builder is configurable:
  • text(impl Into<String>) / set_text(Option<String>):

    The input text used for analysis. The input for InferRxNorm is a string from 1 to 10000 characters.

• On success, responds with InferRxNormOutput with field(s):
  • entities(Option<Vec<RxNormEntity>>):

    The medication entities detected in the text linked to RxNorm concepts. If the action is successful, the service sends back an HTTP 200 response, as well as the entities detected.

  • pagination_token(Option<String>):

    If the result of the previous request to InferRxNorm was truncated, include the PaginationToken to fetch the next page of medication entities.

  • model_version(Option<String>):

    The version of the model used to analyze the documents, in the format n.n.n You can use this information to track the model used for a particular batch of documents.

• On failure, responds with SdkError<InferRxNormError>

pub fn infer_snomedct(&self) -> InferSNOMEDCT<C, M, R>

Constructs a fluent builder for the InferSNOMEDCT operation.

• The fluent builder is configurable:
  • text(impl Into<String>) / set_text(Option<String>):

    The input text to be analyzed using InferSNOMEDCT. The text should be a string with 1 to 10000 characters.

• On success, responds with InferSnomedctOutput with field(s):
  • entities(Option<Vec<SnomedctEntity>>):

    The collection of medical concept entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence that Comprehend Medical has in the detection and analysis. Attributes and traits of the entity are also returned.

  • pagination_token(Option<String>):

    If the result of the request is truncated, the pagination token can be used to fetch the next page of entities.

  • model_version(Option<String>):

    The version of the model used to analyze the documents, in the format n.n.n You can use this information to track the model used for a particular batch of documents.

  • snomedct_details(Option<SnomedctDetails>):

    The details of the SNOMED-CT revision, including the edition, language, and version date.

  • characters(Option<Characters>):

    The number of characters in the input request documentation.

• On failure, responds with SdkError<InferSNOMEDCTError>

pub fn list_entities_detection_v2_jobs(
    &self
) -> ListEntitiesDetectionV2Jobs<C, M, R>

Constructs a fluent builder for the ListEntitiesDetectionV2Jobs operation.

• The fluent builder is configurable:
  • filter(ComprehendMedicalAsyncJobFilter) / set_filter(Option<ComprehendMedicalAsyncJobFilter>):

    Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.

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

    Identifies the next page of results to return.

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

    The maximum number of results to return in each page. The default is 100.

• On success, responds with ListEntitiesDetectionV2JobsOutput with field(s):
  • comprehend_medical_async_job_properties_list(Option<Vec<ComprehendMedicalAsyncJobProperties>>):

    A list containing the properties of each job returned.

  • next_token(Option<String>):

    Identifies the next page of results to return.

• On failure, responds with SdkError<ListEntitiesDetectionV2JobsError>

pub fn list_icd10_cm_inference_jobs(&self) -> ListICD10CMInferenceJobs<C, M, R>

Constructs a fluent builder for the ListICD10CMInferenceJobs operation.

• The fluent builder is configurable:
  • filter(ComprehendMedicalAsyncJobFilter) / set_filter(Option<ComprehendMedicalAsyncJobFilter>):

    Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.

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

    Identifies the next page of results to return.

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

    The maximum number of results to return in each page. The default is 100.

• On success, responds with ListIcd10CmInferenceJobsOutput with field(s):
  • comprehend_medical_async_job_properties_list(Option<Vec<ComprehendMedicalAsyncJobProperties>>):

    A list containing the properties of each job that is returned.

  • next_token(Option<String>):

    Identifies the next page of results to return.

• On failure, responds with SdkError<ListICD10CMInferenceJobsError>

pub fn list_phi_detection_jobs(&self) -> ListPHIDetectionJobs<C, M, R>

Constructs a fluent builder for the ListPHIDetectionJobs operation.

• The fluent builder is configurable:
  • filter(ComprehendMedicalAsyncJobFilter) / set_filter(Option<ComprehendMedicalAsyncJobFilter>):

    Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.

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

    Identifies the next page of results to return.

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

    The maximum number of results to return in each page. The default is 100.

• On success, responds with ListPhiDetectionJobsOutput with field(s):
  • comprehend_medical_async_job_properties_list(Option<Vec<ComprehendMedicalAsyncJobProperties>>):

    A list containing the properties of each job returned.

  • next_token(Option<String>):

    Identifies the next page of results to return.

• On failure, responds with SdkError<ListPHIDetectionJobsError>

pub fn list_rx_norm_inference_jobs(&self) -> ListRxNormInferenceJobs<C, M, R>

Constructs a fluent builder for the ListRxNormInferenceJobs operation.

• The fluent builder is configurable:
  • filter(ComprehendMedicalAsyncJobFilter) / set_filter(Option<ComprehendMedicalAsyncJobFilter>):

    Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.

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

    Identifies the next page of results to return.

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

    Identifies the next page of results to return.

• On success, responds with ListRxNormInferenceJobsOutput with field(s):
  • comprehend_medical_async_job_properties_list(Option<Vec<ComprehendMedicalAsyncJobProperties>>):

    The maximum number of results to return in each page. The default is 100.

  • next_token(Option<String>):

    Identifies the next page of results to return.

• On failure, responds with SdkError<ListRxNormInferenceJobsError>

pub fn list_snomedct_inference_jobs(&self) -> ListSNOMEDCTInferenceJobs<C, M, R>

Constructs a fluent builder for the ListSNOMEDCTInferenceJobs operation.

• The fluent builder is configurable:
  • filter(ComprehendMedicalAsyncJobFilter) / set_filter(Option<ComprehendMedicalAsyncJobFilter>):

    Provides information for filtering a list of detection jobs.

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

    Identifies the next page of InferSNOMEDCT results to return.

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

    The maximum number of results to return in each page. The default is 100.

• On success, responds with ListSnomedctInferenceJobsOutput with field(s):
  • comprehend_medical_async_job_properties_list(Option<Vec<ComprehendMedicalAsyncJobProperties>>):

    A list containing the properties of each job that is returned.

  • next_token(Option<String>):

    Identifies the next page of results to return.

• On failure, responds with SdkError<ListSNOMEDCTInferenceJobsError>

pub fn start_entities_detection_v2_job(
    &self
) -> StartEntitiesDetectionV2Job<C, M, R>

Constructs a fluent builder for the StartEntitiesDetectionV2Job operation.

• The fluent builder is configurable:
  • input_data_config(InputDataConfig) / set_input_data_config(Option<InputDataConfig>):

    The input configuration that specifies the format and location of the input data for the job.

  • output_data_config(OutputDataConfig) / set_output_data_config(Option<OutputDataConfig>):

    The output configuration that specifies where to send the output files.

  • data_access_role_arn(impl Into<String>) / set_data_access_role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Comprehend Medical; read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.

  • job_name(impl Into<String>) / set_job_name(Option<String>):

    The identifier of the job.

  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):

    A unique identifier for the request. If you don’t set the client request token, Comprehend Medical; generates one for you.

  • kms_key(impl Into<String>) / set_kms_key(Option<String>):

    An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.

  • language_code(LanguageCode) / set_language_code(Option<LanguageCode>):

    The language of the input documents. All documents must be in the same language. Comprehend Medical; processes files in US English (en).

• On success, responds with StartEntitiesDetectionV2JobOutput with field(s):
  • job_id(Option<String>):

    The identifier generated for the job. To get the status of a job, use this identifier with the DescribeEntitiesDetectionV2Job operation.

• On failure, responds with SdkError<StartEntitiesDetectionV2JobError>

pub fn start_icd10_cm_inference_job(&self) -> StartICD10CMInferenceJob<C, M, R>

Constructs a fluent builder for the StartICD10CMInferenceJob operation.

• The fluent builder is configurable:
  • input_data_config(InputDataConfig) / set_input_data_config(Option<InputDataConfig>):

    Specifies the format and location of the input data for the job.

  • output_data_config(OutputDataConfig) / set_output_data_config(Option<OutputDataConfig>):

    Specifies where to send the output files.

  • data_access_role_arn(impl Into<String>) / set_data_access_role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Comprehend Medical; read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.

  • job_name(impl Into<String>) / set_job_name(Option<String>):

    The identifier of the job.

  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):

    A unique identifier for the request. If you don’t set the client request token, Comprehend Medical; generates one.

  • kms_key(impl Into<String>) / set_kms_key(Option<String>):

    An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.

  • language_code(LanguageCode) / set_language_code(Option<LanguageCode>):

    The language of the input documents. All documents must be in the same language.

• On success, responds with StartIcd10CmInferenceJobOutput with field(s):
  • job_id(Option<String>):

    The identifier generated for the job. To get the status of a job, use this identifier with the StartICD10CMInferenceJob operation.

• On failure, responds with SdkError<StartICD10CMInferenceJobError>

pub fn start_phi_detection_job(&self) -> StartPHIDetectionJob<C, M, R>

Constructs a fluent builder for the StartPHIDetectionJob operation.

• The fluent builder is configurable:
  • input_data_config(InputDataConfig) / set_input_data_config(Option<InputDataConfig>):

    Specifies the format and location of the input data for the job.

  • output_data_config(OutputDataConfig) / set_output_data_config(Option<OutputDataConfig>):

    Specifies where to send the output files.

  • data_access_role_arn(impl Into<String>) / set_data_access_role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Comprehend Medical; read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.

  • job_name(impl Into<String>) / set_job_name(Option<String>):

    The identifier of the job.

  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):

    A unique identifier for the request. If you don’t set the client request token, Comprehend Medical; generates one.

  • kms_key(impl Into<String>) / set_kms_key(Option<String>):

    An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.

  • language_code(LanguageCode) / set_language_code(Option<LanguageCode>):

    The language of the input documents. All documents must be in the same language.

• On success, responds with StartPhiDetectionJobOutput with field(s):
  • job_id(Option<String>):

    The identifier generated for the job. To get the status of a job, use this identifier with the DescribePHIDetectionJob operation.

• On failure, responds with SdkError<StartPHIDetectionJobError>

pub fn start_rx_norm_inference_job(&self) -> StartRxNormInferenceJob<C, M, R>

Constructs a fluent builder for the StartRxNormInferenceJob operation.

• The fluent builder is configurable:
  • input_data_config(InputDataConfig) / set_input_data_config(Option<InputDataConfig>):

    Specifies the format and location of the input data for the job.

  • output_data_config(OutputDataConfig) / set_output_data_config(Option<OutputDataConfig>):

    Specifies where to send the output files.

  • data_access_role_arn(impl Into<String>) / set_data_access_role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Comprehend Medical; read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.

  • job_name(impl Into<String>) / set_job_name(Option<String>):

    The identifier of the job.

  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):

    A unique identifier for the request. If you don’t set the client request token, Comprehend Medical; generates one.

  • kms_key(impl Into<String>) / set_kms_key(Option<String>):

    An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.

  • language_code(LanguageCode) / set_language_code(Option<LanguageCode>):

    The language of the input documents. All documents must be in the same language.

• On success, responds with StartRxNormInferenceJobOutput with field(s):
  • job_id(Option<String>):

    The identifier of the job.

• On failure, responds with SdkError<StartRxNormInferenceJobError>

pub fn start_snomedct_inference_job(&self) -> StartSNOMEDCTInferenceJob<C, M, R>

Constructs a fluent builder for the StartSNOMEDCTInferenceJob operation.

• The fluent builder is configurable:
  • input_data_config(InputDataConfig) / set_input_data_config(Option<InputDataConfig>):

    The input properties for an entities detection job. This includes the name of the S3 bucket and the path to the files to be analyzed.

  • output_data_config(OutputDataConfig) / set_output_data_config(Option<OutputDataConfig>):

    The output properties for a detection job.

  • data_access_role_arn(impl Into<String>) / set_data_access_role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend Medical read access to your input data.

  • job_name(impl Into<String>) / set_job_name(Option<String>):

    The user generated name the asynchronous InferSNOMEDCT job.

  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):

    A unique identifier for the request. If you don’t set the client request token, Amazon Comprehend Medical generates one.

  • kms_key(impl Into<String>) / set_kms_key(Option<String>):

    An AWS Key Management Service key used to encrypt your output files. If you do not specify a key, the files are written in plain text.

  • language_code(LanguageCode) / set_language_code(Option<LanguageCode>):

    The language of the input documents. All documents must be in the same language.

• On success, responds with StartSnomedctInferenceJobOutput with field(s):
  • job_id(Option<String>):

    The identifier generated for the job. To get the status of a job, use this identifier with the StartSNOMEDCTInferenceJob operation.

• On failure, responds with SdkError<StartSNOMEDCTInferenceJobError>

pub fn stop_entities_detection_v2_job(
    &self
) -> StopEntitiesDetectionV2Job<C, M, R>

Constructs a fluent builder for the StopEntitiesDetectionV2Job operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The identifier of the medical entities job to stop.

• On success, responds with StopEntitiesDetectionV2JobOutput with field(s):
  • job_id(Option<String>):

    The identifier of the medical entities detection job that was stopped.

• On failure, responds with SdkError<StopEntitiesDetectionV2JobError>

pub fn stop_icd10_cm_inference_job(&self) -> StopICD10CMInferenceJob<C, M, R>

Constructs a fluent builder for the StopICD10CMInferenceJob operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The identifier of the job.

• On success, responds with StopIcd10CmInferenceJobOutput with field(s):
  • job_id(Option<String>):

    The identifier generated for the job. To get the status of job, use this identifier with the DescribeICD10CMInferenceJob operation.

• On failure, responds with SdkError<StopICD10CMInferenceJobError>

pub fn stop_phi_detection_job(&self) -> StopPHIDetectionJob<C, M, R>

Constructs a fluent builder for the StopPHIDetectionJob operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The identifier of the PHI detection job to stop.

• On success, responds with StopPhiDetectionJobOutput with field(s):
  • job_id(Option<String>):

    The identifier of the PHI detection job that was stopped.

• On failure, responds with SdkError<StopPHIDetectionJobError>

pub fn stop_rx_norm_inference_job(&self) -> StopRxNormInferenceJob<C, M, R>

Constructs a fluent builder for the StopRxNormInferenceJob operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The identifier of the job.

• On success, responds with StopRxNormInferenceJobOutput with field(s):
  • job_id(Option<String>):

    The identifier generated for the job. To get the status of job, use this identifier with the DescribeRxNormInferenceJob operation.

• On failure, responds with SdkError<StopRxNormInferenceJobError>

pub fn stop_snomedct_inference_job(&self) -> StopSNOMEDCTInferenceJob<C, M, R>

Constructs a fluent builder for the StopSNOMEDCTInferenceJob operation.

• The fluent builder is configurable:
  • job_id(impl Into<String>) / set_job_id(Option<String>):

    The job id of the asynchronous InferSNOMEDCT job to be stopped.

• On success, responds with StopSnomedctInferenceJobOutput with field(s):
  • job_id(Option<String>):

    The identifier generated for the job. To get the status of job, use this identifier with the DescribeSNOMEDCTInferenceJob operation.

• On failure, responds with SdkError<StopSNOMEDCTInferenceJobError>

impl<C> Client<C, DefaultMiddleware, Standard>

pub fn from_conf_conn(conf: Config, conn: C) -> Self

Creates a client with the given service config and connector override.

impl Client<DynConnector, DefaultMiddleware, Standard>

pub fn new(config: &Config) -> Self

Creates a new client from a shared config.

pub fn from_conf(conf: Config) -> Self

Creates a new client from the service Config.

Trait Implementations

impl<C, M, R> Clone for Client<C, M, R>

fn clone(&self) -> Self

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<C: Debug, M: Debug, R: Debug> Debug for Client<C, M, R>

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

Formats the value using the given formatter.

impl<C, M, R> From<Client<C, M, R>> for Client<C, M, R>

fn from(client: Client<C, M, R>) -> Self

Performs the conversion.