Comprehend / Client / start_entities_detection_job

start_entities_detection_job#

Comprehend.Client.start_entities_detection_job(**kwargs)#

Starts an asynchronous entity detection job for a collection of documents. Use the operation to track the status of a job.

This API can be used for either standard entity detection or custom entity recognition. In order to be used for custom entity recognition, the optional EntityRecognizerArn must be used in order to provide access to the recognizer being used to detect the custom entity.

Request Syntax

response = client.start_entities_detection_job(
    InputDataConfig={
        'S3Uri': 'string',
        'InputFormat': 'ONE_DOC_PER_FILE'|'ONE_DOC_PER_LINE',
        'DocumentReaderConfig': {
            'DocumentReadAction': 'TEXTRACT_DETECT_DOCUMENT_TEXT'|'TEXTRACT_ANALYZE_DOCUMENT',
            'DocumentReadMode': 'SERVICE_DEFAULT'|'FORCE_DOCUMENT_READ_ACTION',
            'FeatureTypes': [
                'TABLES'|'FORMS',
            ]
        }
    },
    OutputDataConfig={
        'S3Uri': 'string',
        'KmsKeyId': 'string'
    },
    DataAccessRoleArn='string',
    JobName='string',
    EntityRecognizerArn='string',
    LanguageCode='en'|'es'|'fr'|'de'|'it'|'pt'|'ar'|'hi'|'ja'|'ko'|'zh'|'zh-TW',
    ClientRequestToken='string',
    VolumeKmsKeyId='string',
    VpcConfig={
        'SecurityGroupIds': [
            'string',
        ],
        'Subnets': [
            'string',
        ]
    },
    Tags=[
        {
            'Key': 'string',
            'Value': 'string'
        },
    ],
    FlywheelArn='string'
)

Parameters:

InputDataConfig (dict) –
[REQUIRED]

Specifies the format and location of the input data for the job.
- S3Uri (string) – [REQUIRED]
  
  The Amazon S3 URI for the input data. The URI must be in same Region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.
  
  For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.
- InputFormat (string) –
  
  Specifies how the text in an input file should be processed:
  - ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.
  - ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.
- DocumentReaderConfig (dict) –
  
  Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
  - DocumentReadAction (string) – [REQUIRED]
    
    This field defines the Amazon Textract API operation that Amazon Comprehend uses to extract text from PDF files and image files. Enter one of the following values:
    - TEXTRACT_DETECT_DOCUMENT_TEXT - The Amazon Comprehend service uses the DetectDocumentText API operation.
    - TEXTRACT_ANALYZE_DOCUMENT - The Amazon Comprehend service uses the AnalyzeDocument API operation.
  - DocumentReadMode (string) –
    
    Determines the text extraction actions for PDF files. Enter one of the following values:
    - SERVICE_DEFAULT - use the Amazon Comprehend service defaults for PDF files.
    - FORCE_DOCUMENT_READ_ACTION - Amazon Comprehend uses the Textract API specified by DocumentReadAction for all PDF files, including digital PDF files.
  - FeatureTypes (list) –
    
    Specifies the type of Amazon Textract features to apply. If you chose TEXTRACT_ANALYZE_DOCUMENT as the read action, you must specify one or both of the following values:
    - TABLES - Returns additional information about any tables that are detected in the input document.
    - FORMS - Returns additional information about any forms that are detected in the input document.
    - (string) –
      
      TABLES or FORMS
OutputDataConfig (dict) –
[REQUIRED]

Specifies where to send the output files.
- S3Uri (string) – [REQUIRED]
  
  When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same Region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.
  
  When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.
  
  For a PII entity detection job, the output file is plain text, not a compressed archive. The output file name is the same as the input file, with .out appended at the end.
- KmsKeyId (string) –
  
  ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. Specify the Key Id of a symmetric key, because you cannot use an asymmetric key for uploading data to S3.
  
  The KmsKeyId can be one of the following formats:
  - KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
  - Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
  - KMS Key Alias: "alias/ExampleAlias"
  - ARN of a KMS Key Alias: "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
DataAccessRoleArn (string) –
[REQUIRED]

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
JobName (string) – The identifier of the job.
EntityRecognizerArn (string) – The Amazon Resource Name (ARN) that identifies the specific entity recognizer to be used by the StartEntitiesDetectionJob. This ARN is optional and is only used for a custom entity recognition job.
LanguageCode (string) –
[REQUIRED]

The language of the input documents. All documents must be in the same language. You can specify any of the languages supported by Amazon Comprehend. If custom entities recognition is used, this parameter is ignored and the language used for training the model is used instead.
ClientRequestToken (string) –
A unique identifier for the request. If you don’t set the client request token, Amazon Comprehend generates one.

This field is autopopulated if not provided.
VolumeKmsKeyId (string) –
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
- KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
- Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
VpcConfig (dict) –
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your entity detection job. For more information, see Amazon VPC.
- SecurityGroupIds (list) – [REQUIRED]
  
  The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by “sg-”, for instance: “sg-03b388029b0a285ea”. For more information, see Security Groups for your VPC.
  - (string) –
- Subnets (list) – [REQUIRED]
  
  The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s Region. This ID number is preceded by “subnet-”, for instance: “subnet-04ccf456919e69055”. For more information, see VPCs and Subnets.
  - (string) –
Tags (list) –
Tags to associate with the entities detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with “Sales” as the key might be added to a resource to indicate its use by the sales department.
- (dict) –
  
  A key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with the key-value pair ‘Department’:’Sales’ might be added to a resource to indicate its use by a particular department.
  - Key (string) – [REQUIRED]
    
    The initial part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the key portion of the pair, with multiple possible values such as “sales,” “legal,” and “administration.”
  - Value (string) –
    
    The second part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the initial (key) portion of the pair, with a value of “sales” to indicate the sales department.
FlywheelArn (string) – The Amazon Resource Number (ARN) of the flywheel associated with the model to use.

Return type:

dict

Returns:

Response Syntax

{
    'JobId': 'string',
    'JobArn': 'string',
    'JobStatus': 'SUBMITTED'|'IN_PROGRESS'|'COMPLETED'|'FAILED'|'STOP_REQUESTED'|'STOPPED',
    'EntityRecognizerArn': 'string'
}

Response Structure

(dict) –
- JobId (string) –
  
  The identifier generated for the job. To get the status of job, use this identifier with the operation.
- JobArn (string) –
  
  The Amazon Resource Name (ARN) of the entities detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
  
  arn:<partition>:comprehend:<region>:<account-id>:entities-detection-job/<job-id>
  
  The following is an example job ARN:
  
  arn:aws:comprehend:us-west-2:111122223333:entities-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobStatus (string) –
  
  The status of the job.
  - SUBMITTED - The job has been received and is queued for processing.
  - IN_PROGRESS - Amazon Comprehend is processing the job.
  - COMPLETED - The job was successfully completed and the output is available.
  - FAILED - The job did not complete. To get details, use the operation.
  - STOP_REQUESTED - Amazon Comprehend has received a stop request for the job and is processing the request.
  - STOPPED - The job was successfully stopped without completing.
- EntityRecognizerArn (string) –
  
  The ARN of the custom entity recognition model.

Exceptions

Comprehend.Client.exceptions.InvalidRequestException
Comprehend.Client.exceptions.TooManyRequestsException
Comprehend.Client.exceptions.ResourceNotFoundException
Comprehend.Client.exceptions.ResourceUnavailableException
Comprehend.Client.exceptions.KmsKeyValidationException
Comprehend.Client.exceptions.TooManyTagsException
Comprehend.Client.exceptions.ResourceInUseException
Comprehend.Client.exceptions.InternalServerException