Identifies credit card adding as part of the metadata the issuerOperates On:  Lexical Items with TOKEN and possibly other flags as specified below.

Stage is a Recognizer for Saga Solution, and can also be used as part of a manual pipeline or a base pipeline


Added in version 1.2.2

Generic Configuration Parameters

  • boundaryFlags ( type=string array | optional ) - List of vertex flags that indicate the beginning and end of a text block.
    Tokens to process must be inside two vertices marked with this flag (e.g ["TEXT_BLOCK_SPLIT"])
  • skipFlags ( type=string array | optional ) - Flags to be skipped by this stage.
    Tokens marked with this flag will be ignored by this stage, and no processing will be performed.
  • requiredFlags ( type=string array | optional ) - Lex items flags required by every token to be processed.
    Tokens need to have all of the specified flags in order to be processed.
  • atLeastOneFlag ( type=string array | optional ) - Lex items flags needed by every token to be processed.
    Tokens will need at least one of the flags specified in this array.
  • confidenceAdjustment ( type=double | default=1 | required ) - Adjustment factor to apply to the confidence value of 0.0 to 2.0 from (Applies for every pattern match).
    • 0.0 to < 1.0  decreases confidence value
    • 1.0 confidence value remains the same
    • > 1.0 to  2.0 increases confidence value
  • debug ( type=boolean | default=false | optional ) - Enable all debug log functionality for the stage, if any.
  • enable ( type=boolean | default=true | optional ) - Indicates if the current stage should be consider for the Pipeline Manager
    • Only applies for automatic pipeline building

Configuration Parameters

  • filename ( type=string | default=CreditCardNumberRanges.txt | optional ) - Name of the resource with the credit card patterns and data
  • separators ( type=string | default=" -" | optional ) - string with the valid characters to be separators of the credit card numbers


$action.getHelper().renderConfluenceMacro("$codeS$body$codeE")

Example Output

$action.getHelper().renderConfluenceMacro("$codeS$body$codeE")

Output Flags

Lex-Item Flags:

  • SEMANTIC_TAG - Identifies all lexical items which are semantic tags
  • CREDIT_CARD - The tokens were identified as a credit card

Vertex Flags:

No vertices are created in this stage


Resource Data

Format of the resource for credit cards, each entry will be a JSON object

Resource Format

$action.getHelper().renderConfluenceMacro("$codeS$body$codeE")


Fields

  • issuer ( type=string | required ) - Credit card issuer
  • tag ( type=string array | required ) - Valid starting numbers of the credit card

  • length ( type=string | required ) - Valid length of the credit card number. It can be written as a range