All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class DetectEntitiesRequest
extends AmazonWebServiceRequest
implements Serializable, Cloneable 

See Also:

AWS API Documentation, Serialized Form

• Field Summary

  • Fields inherited from class com.amazonaws.AmazonWebServiceRequest

    NOOP

• Constructor Summary

  Constructors

  Constructor and Description
  DetectEntitiesRequest ()

• Method Summary

  All Methods

  Modifier and Type	Method and Description
  DetectEntitiesRequest	clone () Creates a shallow clone of this object for all fields except the handler context.
  boolean	equals (Object obj)
  ByteBuffer	getBytes () This field applies only when you use a custom entity recognition model that was trained with PDF annotations.
  DocumentReaderConfig	getDocumentReaderConfig () Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
  String	getEndpointArn () The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model.
  String	getLanguageCode () The language of the input documents.
  String	getText () A UTF-8 text string.
  int	hashCode ()
  void	setBytes (ByteBuffer bytes) This field applies only when you use a custom entity recognition model that was trained with PDF annotations.
  void	setDocumentReaderConfig (DocumentReaderConfig documentReaderConfig) Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
  void	setEndpointArn (String endpointArn) The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model.
  void	setLanguageCode (String languageCode) The language of the input documents.
  void	setText (String text) A UTF-8 text string.
  String	toString () Returns a string representation of this object.
  DetectEntitiesRequest	withBytes (ByteBuffer bytes) This field applies only when you use a custom entity recognition model that was trained with PDF annotations.
  DetectEntitiesRequest	withDocumentReaderConfig (DocumentReaderConfig documentReaderConfig) Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
  DetectEntitiesRequest	withEndpointArn (String endpointArn) The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model.
  DetectEntitiesRequest	withLanguageCode (LanguageCode languageCode) The language of the input documents.
  DetectEntitiesRequest	withLanguageCode (String languageCode) The language of the input documents.
  DetectEntitiesRequest	withText (String text) A UTF-8 text string.

  • Methods inherited from class com.amazonaws.AmazonWebServiceRequest

    addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

  • Methods inherited from class java.lang.Object

    getClass, notify, notifyAll, wait, wait, wait

• Constructor Detail

  • DetectEntitiesRequest

    public DetectEntitiesRequest()

• Method Detail

  • setText

    public void setText(String text)

    A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.

    Parameters:

    text - A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.

  • getText

    public String getText()

    A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.

    Returns:

    A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.

  • withText

    public DetectEntitiesRequest withText(String text)

    A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.

    Parameters:

    text - A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.

    Returns:

    Returns a reference to this object so that method calls can be chained together.

  • setLanguageCode

    public void setLanguageCode(String languageCode)

    The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.

    All input documents must be in the same language.

    Parameters:

    languageCode - The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.

    All input documents must be in the same language.

    See Also:

    LanguageCode

  • getLanguageCode

    public String getLanguageCode()

    The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.

    All input documents must be in the same language.

    Returns:

    The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.

    All input documents must be in the same language.

    See Also:

    LanguageCode

  • withLanguageCode

    public DetectEntitiesRequest withLanguageCode(String languageCode)

    The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.

    All input documents must be in the same language.

    Parameters:

    languageCode - The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.

    All input documents must be in the same language.

    Returns:

    Returns a reference to this object so that method calls can be chained together.

    See Also:

    LanguageCode

  • withLanguageCode

    public DetectEntitiesRequest withLanguageCode(LanguageCode languageCode)

    The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.

    All input documents must be in the same language.

    Parameters:

    languageCode - The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.

    All input documents must be in the same language.

    Returns:

    Returns a reference to this object so that method calls can be chained together.

    See Also:

    LanguageCode

  • setEndpointArn

    public void setEndpointArn(String endpointArn)

    The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.

    If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.

    For information about endpoints, see Managing endpoints.

    Parameters:

    endpointArn - The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.

    If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.

    For information about endpoints, see Managing endpoints.

  • getEndpointArn

    public String getEndpointArn()

    The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.

    If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.

    For information about endpoints, see Managing endpoints.

    Returns:

    The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.

    If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.

    For information about endpoints, see Managing endpoints.

  • withEndpointArn

    public DetectEntitiesRequest withEndpointArn(String endpointArn)

    The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.

    If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.

    For information about endpoints, see Managing endpoints.

    Parameters:

    endpointArn - The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.

    If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.

    For information about endpoints, see Managing endpoints.

    Returns:

    Returns a reference to this object so that method calls can be chained together.

  • setBytes

    public void setBytes(ByteBuffer bytes)

    This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the Text field.

    Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).

    You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.

    Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.

    The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.

    If you use the Bytes parameter, do not use the Text parameter.

    The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service. Users of the SDK should not perform Base64 encoding on this field.

    Warning: ByteBuffers returned by the SDK are mutable. Changes to the content or position of the byte buffer will be seen by all objects that have a reference to this object. It is recommended to call ByteBuffer.duplicate() or ByteBuffer.asReadOnlyBuffer() before using or reading from the buffer. This behavior will be changed in a future major version of the SDK.

    Parameters:

    bytes - This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the Text field.

    Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).

    You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.

    Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.

    The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.

    If you use the Bytes parameter, do not use the Text parameter.

  • getBytes

    public ByteBuffer getBytes()

    This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the Text field.

    Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).

    You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.

    Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.

    The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.

    If you use the Bytes parameter, do not use the Text parameter.

    ByteBuffers are stateful. Calling their get methods changes their position. We recommend using ByteBuffer.asReadOnlyBuffer() to create a read-only view of the buffer with an independent position, and calling get methods on this rather than directly on the returned ByteBuffer. Doing so will ensure that anyone else using the ByteBuffer will not be affected by changes to the position.

    Returns:

    This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the Text field.

    Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).

    You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.

    Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.

    The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.

    If you use the Bytes parameter, do not use the Text parameter.

  • withBytes

    public DetectEntitiesRequest withBytes(ByteBuffer bytes)

    This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the Text field.

    Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).

    You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.

    Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.

    The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.

    If you use the Bytes parameter, do not use the Text parameter.

    The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service. Users of the SDK should not perform Base64 encoding on this field.

    Warning: ByteBuffers returned by the SDK are mutable. Changes to the content or position of the byte buffer will be seen by all objects that have a reference to this object. It is recommended to call ByteBuffer.duplicate() or ByteBuffer.asReadOnlyBuffer() before using or reading from the buffer. This behavior will be changed in a future major version of the SDK.

    Parameters:

    bytes - This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the Text field.

    Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).

    You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.

    Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.

    The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.

    If you use the Bytes parameter, do not use the Text parameter.

    Returns:

    Returns a reference to this object so that method calls can be chained together.

  • setDocumentReaderConfig

    public void setDocumentReaderConfig(DocumentReaderConfig documentReaderConfig)

    Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.

    Parameters:

    documentReaderConfig - Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.

  • getDocumentReaderConfig

    public DocumentReaderConfig getDocumentReaderConfig()

    Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.

    Returns:

    Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.

  • withDocumentReaderConfig

    public DetectEntitiesRequest withDocumentReaderConfig(DocumentReaderConfig documentReaderConfig)

    Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.

    Parameters:

    documentReaderConfig - Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.

    Returns:

    Returns a reference to this object so that method calls can be chained together.

  • toString

    public String toString()

    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

    Overrides:

    toString in class Object

    Returns:

    A string representation of this object.

    See Also:

    Object.toString()

  • equals

    public boolean equals(Object obj)

    Overrides:

    equals in class Object

  • hashCode

    public int hashCode()

    Overrides:

    hashCode in class Object

  • clone

    public DetectEntitiesRequest clone()

    Description copied from class: AmazonWebServiceRequest
    Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

    Overrides:

    clone in class AmazonWebServiceRequest

    See Also:

    Object.clone()