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Conditional Token Filter

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Conditional Token Filter

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The conditional token filter takes a predicate script and a list of subfilters, and only applies the subfilters to the current token if it matches the predicate.

Options

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filter	a chain of token filters to apply to the current token if the predicate matches. These can be any token filters defined elsewhere in the index mappings.
script	a predicate script that determines whether or not the filters will be applied to the current token. Note that only inline scripts are supported

Settings example

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You can set it up like:

PUT /condition_example
{
    "settings" : {
        "analysis" : {
            "analyzer" : {
                "my_analyzer" : {
                    "tokenizer" : "standard",
                    "filter" : [ "my_condition" ]
                }
            },
            "filter" : {
                "my_condition" : {
                    "type" : "condition",
                    "filter" : [ "lowercase" ],
                    "script" : {
                        "source" : "token.getTerm().length() < 5"  
                    }
                }
            }
        }
    }
}

This will only apply the lowercase filter to terms that are less than 5 characters in length

And test it like:

POST /condition_example/_analyze
{
  "analyzer" : "my_analyzer",
  "text" : "What Flapdoodle"
}

And it’d respond:

{
  "tokens": [
    {
      "token": "what",              
      "start_offset": 0,
      "end_offset": 4,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "Flapdoodle",        
      "start_offset": 5,
      "end_offset": 15,
      "type": "<ALPHANUM>",
      "position": 1
    }
  ]
}

	The term `What` has been lowercased, because it is only 4 characters long
	The term `Flapdoodle` has been left in its original case, because it doesn’t pass the predicate

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