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gw-fuzzy-match.php: Added snippet for fuzzy comparison. #875

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188 changes: 188 additions & 0 deletions gravity-forms/gw-fuzzy-comparison.php
Original file line number Diff line number Diff line change
@@ -0,0 +1,188 @@
<?php
/**
* Gravity Wiz // Gravity Forms // Fuzzy Comparison for operator "is"
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*
* This snippet adds fuzzy comparison for "is" operator with the GF conditional logic rules.
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*/
class GW_Fuzzy_Match {

private $_args;

public function __construct( $args = array() ) {
// Set our default arguments, parse against the provided arguments, and store for use throughout the class
$this->_args = wp_parse_args( $args, array(
'form_id' => false,
'field_id' => false,
'threshold' => 1,
) );

// Do version check in the init to make sure if GF is going to be loaded, it is already loaded
add_action( 'init', array( $this, 'init' ) );
}

public function init() {
// Add hooks for PHP filtering
add_filter( 'gform_is_value_match', array( $this, 'apply_fuzzy_match' ), 10, 6 );

// Add hooks for JS script
add_filter( 'gform_pre_render', array( $this, 'load_form_script' ), 10, 2 );
add_action( 'gform_register_init_scripts', array( $this, 'add_init_script' ), 10, 2 );
}

public function apply_fuzzy_match( $is_match, $field_value, $target_value, $operation, $source_field, $rule ) {
if ( $rule['operator'] !== 'is' ) {
return $is_match;
}
return $this->fuzzy_match( $field_value, trim( $target_value ) );
}

public function fuzzy_match( $input, $target ) {
$normalized_input = $this->normalize_string( $input );
$normalized_target = $this->normalize_string( $target );
$distance = levenshtein( $normalized_input, $normalized_target );
return $distance <= $this->_args['threshold'];
}

public function normalize_string( $str ) {
$str = iconv( 'UTF-8', 'ASCII//TRANSLIT', $str );
return strtolower( preg_replace( '/[^a-zA-Z0-9]/', '', $str ) );
}

public function load_form_script( $form, $is_ajax_enabled ) {
if ( $this->is_applicable_form( $form ) && ! has_action( 'wp_footer', array( $this, 'output_script' ) ) ) {
add_action( 'wp_footer', array( $this, 'output_script' ) );
add_action( 'gform_preview_footer', array( $this, 'output_script' ) );
}
return $form;
}

public function output_script() {
?>
<script type="text/javascript">
( function( $ ) {

window.GW_Fuzzy_Match = function( args ) {
var self = this;

// Copy all args to current object: (list expected props)
for( var prop in args ) {
if( args.hasOwnProperty( prop ) ) {
self[ prop ] = args[ prop ];
}
}

self.isApplicableField = function(fieldId) {
if ( typeof fieldId !== 'number' ) {
fieldId = parseInt( fieldId );
}

if ( ! self.fieldId ) {
return true;
}

if ( typeof self.fieldId !== 'object' ) {
self.fieldId = [ self.fieldId ];
}

// Ensure fieldIds are all numbers
self.fieldId = self.fieldId.map( function( fieldId ) {
if ( typeof fieldId === 'string' ) {
fieldId = parseInt( fieldId );
}
return fieldId;
} );

return self.fieldId.indexOf( fieldId ) !== -1;
};

self.init = function() {
gform.addFilter('gform_is_value_match', function (isMatch, formId, rule) {
if ( rule.operator !== 'is' ) {
return isMatch;
}
var source = jQuery( '#input_' + formId + '_' + rule.fieldId );
if ( source ) {
return self.fuzzyMatch( source.val(), rule.value );
}
return isMatch;
});
};

self.normalizeString = function( str ) {
return str.normalize("NFD").replace( /[\u0300-\u036f]/g, "" ).toLowerCase();
};

self.levenshtein = function( a, b ) {
const an = a.length;
const bn = b.length;
if (an === 0) return bn;
if (bn === 0) return an;
const matrix = [];
for (let i = 0; i <= bn; i++) {
matrix[i] = [i];
}
for (let j = 0; j <= an; j++) {
matrix[0][j] = j;
}
for (let i = 1; i <= bn; i++) {
for (let j = 1; j <= an; j++) {
if (b.charAt(i - 1) === a.charAt(j - 1)) {
matrix[i][j] = matrix[i - 1][j - 1];
} else {
matrix[i][j] = Math.min(
matrix[i - 1][j - 1] + 1,
Math.min(
matrix[i][j - 1] + 1,
matrix[i - 1][j] + 1
)
);
}
}
}
return matrix[bn][an];
};

self.fuzzyMatch = function( input, target ) {
const normalizedInput = self.normalizeString( input );
const normalizedTarget = self.normalizeString( target );
const distance = self.levenshtein( normalizedInput, normalizedTarget );
return distance <= self.threshold;
};

self.init();
};

} )( jQuery );
</script>
<?php
}

public function add_init_script( $form ) {
if ( ! $this->is_applicable_form( $form ) ) {
return;
}

$args = array(
'formId' => $this->_args['form_id'],
'fieldId' => $this->_args['field_id'],
'threshold' => $this->_args['threshold'],
);

$script = 'new GW_Fuzzy_Match( ' . json_encode( $args ) . ' );';
$slug = implode( '_', array( strtolower( __CLASS__ ), $this->_args['form_id'], $this->_args['field_id'] ) );

GFFormDisplay::add_init_script( $form['id'], $slug, GFFormDisplay::ON_PAGE_RENDER, $script );
}

public function is_applicable_form( $form ) {
$form_id = isset( $form['id'] ) ? $form['id'] : $form;
return empty( $this->_args['form_id'] ) || (int) $form_id === (int) $this->_args['form_id'];
}
}

# Configuration
new GW_Fuzzy_Match( array(
'form_id' => 1, // Replace with your form ID.
'field_id' => 2, // Replace with your field ID for which conditional logic needs to be fuzzy.
'threshold' => 1, // Define your threshold - It is the maximum number of allowed differences between two strings for them to be considered similar.
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) );
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