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[ aws . comprehend ]

start-pii-entities-detection-job

Description

Starts an asynchronous PII entity detection job for a collection of documents.

See also: AWS API Documentation

Synopsis

  start-pii-entities-detection-job
--input-data-config <value>
--output-data-config <value>
--mode <value>
[--redaction-config <value>]
--data-access-role-arn <value>
[--job-name <value>]
--language-code <value>
[--client-request-token <value>]
[--tags <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]

Options

--input-data-config (structure)

The input properties for a PII entities detection job.

S3Uri -> (string)

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 -> (structure)

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

DocumentReadAction -> (string)

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

Shorthand Syntax:

S3Uri=string,InputFormat=string,DocumentReaderConfig={DocumentReadAction=string,DocumentReadMode=string,FeatureTypes=[string,string]}

JSON Syntax:

{
  "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", ...]
  }
}

--output-data-config (structure)

Provides configuration parameters for the output of PII entity detection jobs.

S3Uri -> (string)

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"

Shorthand Syntax:

S3Uri=string,KmsKeyId=string

JSON Syntax:

{
  "S3Uri": "string",
  "KmsKeyId": "string"
}

--mode (string)

Specifies whether the output provides the locations (offsets) of PII entities or a file in which PII entities are redacted.

Possible values:

  • ONLY_REDACTION
  • ONLY_OFFSETS

--redaction-config (structure)

Provides configuration parameters for PII entity redaction.

This parameter is required if you set the Mode parameter to ONLY_REDACTION . In that case, you must provide a RedactionConfig definition that includes the PiiEntityTypes parameter.

PiiEntityTypes -> (list)

An array of the types of PII entities that Amazon Comprehend detects in the input text for your request.

(string)

MaskMode -> (string)

Specifies whether the PII entity is redacted with the mask character or the entity type.

MaskCharacter -> (string)

A character that replaces each character in the redacted PII entity.

Shorthand Syntax:

PiiEntityTypes=string,string,MaskMode=string,MaskCharacter=string

JSON Syntax:

{
  "PiiEntityTypes": ["BANK_ACCOUNT_NUMBER"|"BANK_ROUTING"|"CREDIT_DEBIT_NUMBER"|"CREDIT_DEBIT_CVV"|"CREDIT_DEBIT_EXPIRY"|"PIN"|"EMAIL"|"ADDRESS"|"NAME"|"PHONE"|"SSN"|"DATE_TIME"|"PASSPORT_NUMBER"|"DRIVER_ID"|"URL"|"AGE"|"USERNAME"|"PASSWORD"|"AWS_ACCESS_KEY"|"AWS_SECRET_KEY"|"IP_ADDRESS"|"MAC_ADDRESS"|"ALL"|"LICENSE_PLATE"|"VEHICLE_IDENTIFICATION_NUMBER"|"UK_NATIONAL_INSURANCE_NUMBER"|"CA_SOCIAL_INSURANCE_NUMBER"|"US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER"|"UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER"|"IN_PERMANENT_ACCOUNT_NUMBER"|"IN_NREGA"|"INTERNATIONAL_BANK_ACCOUNT_NUMBER"|"SWIFT_CODE"|"UK_NATIONAL_HEALTH_SERVICE_NUMBER"|"CA_HEALTH_NUMBER"|"IN_AADHAAR"|"IN_VOTER_NUMBER", ...],
  "MaskMode": "MASK"|"REPLACE_WITH_PII_ENTITY_TYPE",
  "MaskCharacter": "string"
}

--data-access-role-arn (string)

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.

--job-name (string)

The identifier of the job.

--language-code (string)

The language of the input documents. Enter the language code for English (en) or Spanish (es).

Possible values:

  • en
  • es
  • fr
  • de
  • it
  • pt
  • ar
  • hi
  • ja
  • ko
  • zh
  • zh-TW

--client-request-token (string)

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

--tags (list)

Tags to associate with the PII 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.

(structure)

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)

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.

Shorthand Syntax:

Key=string,Value=string ...

JSON Syntax:

[
  {
    "Key": "string",
    "Value": "string"
  }
  ...
]

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command's default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.

--output (string)

The formatting style for command output.

  • json
  • text
  • table

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

Examples

Note

To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal's quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To start an asynchronous PII detection job

The following start-pii-entities-detection-job example starts an asynchronous personal identifiable information (PII) entities detection job for all files located at the address specified by the --input-data-config tag. The S3 bucket in this example contains Sampletext1.txt, Sampletext2.txt, and Sampletext3.txt. When the job is complete, the folder, output, is placed in the location specified by the --output-data-config tag. The folder contains SampleText1.txt.out, SampleText2.txt.out, and SampleText3.txt.out which list the named entities within each text file. The Json output is printed on one line per file, but is formatted here for readability.

aws comprehend start-pii-entities-detection-job \
    --job-name entities_test \
    --language-code en \
    --input-data-config "S3Uri=s3://DOC-EXAMPLE-BUCKET/" \
    --output-data-config "S3Uri=s3://DOC-EXAMPLE-DESTINATION-BUCKET/testfolder/" \
    --data-access-role-arn arn:aws:iam::111122223333:role/service-role/AmazonComprehendServiceRole-example-role \
    --language-code en \
    --mode ONLY_OFFSETS

Contents of Sampletext1.txt:

"Hello Zhang Wei, I am John. Your AnyCompany Financial Services, LLC credit card account 1111-XXXX-1111-XXXX has a minimum payment of $24.53 that is due by July 31st."

Contents of Sampletext2.txt:

"Dear Max, based on your autopay settings for your account Internet.org account, we will withdraw your payment on the due date from your bank account number XXXXXX1111 with the routing number XXXXX0000. "

Contents of Sampletext3.txt:

"Jane, please submit any customer feedback from this weekend to Sunshine Spa, 123 Main St, Anywhere and send comments to Alice at AnySpa@example.com."

Output:

{
    "JobId": "123456abcdeb0e11022f22a11EXAMPLE",
    "JobArn": "arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/123456abcdeb0e11022f22a11EXAMPLE",
    "JobStatus": "SUBMITTED"
}

Contents of SampleText1.txt.out with line indents for readability:

{
    "Entities": [
        {
        "BeginOffset": 6,
        "EndOffset": 15,
        "Type": "NAME",
        "Score": 0.9998490510222595
        },
        {
        "BeginOffset": 22,
        "EndOffset": 26,
        "Type": "NAME",
        "Score": 0.9998937958019426
        },
        {
        "BeginOffset": 88,
        "EndOffset": 107,
        "Type": "CREDIT_DEBIT_NUMBER",
        "Score": 0.9554297245278491
        },
        {
        "BeginOffset": 155,
        "EndOffset": 164,
        "Type": "DATE_TIME",
        "Score": 0.9999720462925257
        }
    ],
    "File": "SampleText1.txt",
    "Line": 0
}

Contents of SampleText2.txt.out with line indents for readability:

{
    "Entities": [
        {
        "BeginOffset": 5,
        "EndOffset": 8,
        "Type": "NAME",
        "Score": 0.9994390774924007
        },
        {
        "BeginOffset": 58,
        "EndOffset": 70,
        "Type": "URL",
        "Score": 0.9999958276922101
        },
        {
        "BeginOffset": 156,
        "EndOffset": 166,
        "Type": "BANK_ACCOUNT_NUMBER",
        "Score": 0.9999721058045592
        },
        {
        "BeginOffset": 191,
        "EndOffset": 200,
        "Type": "BANK_ROUTING",
        "Score": 0.9998968945989909
        }
    ],
    "File": "SampleText2.txt",
    "Line": 0
}

Contents of SampleText3.txt.out with line indents for readability:

{
    "Entities": [
        {
        "BeginOffset": 0,
        "EndOffset": 4,
        "Type": "NAME",
        "Score": 0.999949934606805
        },
        {
        "BeginOffset": 77,
        "EndOffset": 88,
        "Type": "ADDRESS",
        "Score": 0.9999035300466904
        },
        {
        "BeginOffset": 120,
        "EndOffset": 125,
        "Type": "NAME",
        "Score": 0.9998203838716296
        },
        {
        "BeginOffset": 129,
        "EndOffset": 144,
        "Type": "EMAIL",
        "Score": 0.9998313473105228
        }
    ],
    "File": "SampleText3.txt",
    "Line": 0
}

For more information, see Async analysis for Amazon Comprehend insights in the Amazon Comprehend Developer Guide.

Output

JobId -> (string)

The identifier generated for the job.

JobArn -> (string)

The Amazon Resource Name (ARN) of the PII entity 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>:pii-entities-detection-job/<job-id>

The following is an example job ARN:

arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/1234abcd12ab34cd56ef1234567890ab

JobStatus -> (string)

The status of the job.