(function() { /** * Levenshtein function courtesy of https://github.com/tad-lispy/node-damerau-levenshtein / https://www.npmjs.com/package/damerau-levenshtein */ function levenshtein(__this, that, limit) { var thisLength = __this.length, thatLength = that.length, matrix = []; // If the limit is not defined it will be calculate from this and that args. limit = (limit || ((thatLength > thisLength ? thatLength : thisLength)))+1; for (var i = 0; i < limit; i++) { matrix[i] = [i]; matrix[i].length = limit; } for (i = 0; i < limit; i++) { matrix[0][i] = i; } if (Math.abs(thisLength - thatLength) > (limit || 100)){ return prepare (limit || 100); } if (thisLength === 0){ return prepare (thatLength); } if (thatLength === 0){ return prepare (thisLength); } // Calculate matrix. var j, this_i, that_j, cost, min, t; for (i = 1; i <= thisLength; ++i) { this_i = __this[i-1]; // Step 4 for (j = 1; j <= thatLength; ++j) { // Check the jagged ld total so far if (i === j && matrix[i][j] > 4) return prepare (thisLength); that_j = that[j-1]; cost = (this_i === that_j) ? 0 : 1; // Step 5 // Calculate the minimum (much faster than Math.min(...)). min = matrix[i - 1][j ] + 1; // Deletion. if ((t = matrix[i ][j - 1] + 1 ) < min) min = t; // Insertion. if ((t = matrix[i - 1][j - 1] + cost) < min) min = t; // Substitution. // Update matrix. matrix[i][j] = (i > 1 && j > 1 && this_i === that[j-2] && __this[i-2] === that_j && (t = matrix[i-2][j-2]+cost) < min) ? t : min; // Transposition. } } return prepare (matrix[thisLength][thatLength]); /** * */ function prepare(steps) { var length = Math.max(thisLength, thatLength) var relative = length === 0 ? 0 : (steps / length); var similarity = 1 - relative return { steps: steps, relative: relative, similarity: similarity }; } } function fuzzySearch(searchVal, data, initial) { // If no searchVal has been defined then return all rows. if(searchVal === undefined || searchVal.length === 0) { return { pass: true, score: '' } } var threshold = initial.threshold !== undefined ? initial.threshold : 0.5; // Split the searchVal into individual words. var splitSearch = searchVal.split(/[^(a-z|A-Z|0-9)]/g); // Array to keep scores in var highestCollated = []; // Remove any empty words or spaces for(var x = 0; x < splitSearch.length; x++) { if (splitSearch[x].length === 0 || splitSearch[x] === ' ') { splitSearch.splice(x, 1); x--; } // Aside - Add to the score collection if not done so yet for this search word else if (highestCollated.length < splitSearch.length) { highestCollated.push({pass: false, score: 0}); } } // Going to check each cell for potential matches for(var i = 0; i < data.length; i++) { // Convert all data points to lower case fo insensitive sorting data[i] = data[i].toLowerCase(); // Split the data into individual words var splitData = data[i].split(/[^(a-z|A-Z|0-9)]/g); // Remove any empty words or spaces for (var y = 0; y < splitData.length; y++){ if(splitData[y].length === 0 || splitData[y] === ' ') { splitData.splice(y, 1); x--; } } // Check each search term word for(var x = 0; x < splitSearch.length; x++) { // Reset highest score var highest = { pass: undefined, score: 0 }; // Against each word in the cell for (var y = 0; y < splitData.length; y++){ // If this search Term word is the beginning of the word in the cell we want to pass this word if(splitData[y].indexOf(splitSearch[x]) === 0){ highest = { pass: true, score: splitSearch[x].length / splitData[y].length }; } // Get the levenshtein similarity score for the two words var steps = levenshtein(splitSearch[x], splitData[y]).similarity; // If the levenshtein similarity score is better than a previous one for the search word then let's store it if(steps > highest.score) { highest.score = steps; } } // If this cell has a higher scoring word than previously found to the search term in the row, store it if(highestCollated[x].score < highest.score || highest.pass) { highestCollated[x] = { pass: highest.pass || highestCollated.pass ? true : highest.score > threshold, score: highest.score }; } } } // Check that all of the rows have a score greater than 0.5 for(var i = 0; i < highestCollated.length; i++) { if(!highestCollated[i].pass) { return { pass: false, score: Math.round(((highestCollated.reduce((a,b) => a+b.score, 0) / highestCollated.length) * 100)) + "%" }; } } // If we get to here, all scores greater than 0.5 so display the row return { pass: true, score: Math.round(((highestCollated.reduce((a,b) => a+b.score, 0) / highestCollated.length) * 100)) + "%" }; } $.fn.dataTable.ext.search.push( function( settings, data, dataIndex ) { var initial = settings.oInit.fuzzySearch; // If fuzzy searching has not been implemented then pass all rows for this function if (settings.aoData[dataIndex]._fuzzySearch !== undefined) { // Read score to set the cell content and sort data var score = settings.aoData[dataIndex]._fuzzySearch.score; settings.aoData[dataIndex].anCells[initial.rankColumn].innerHTML = score; // Remove '%' from the end of the score so can sort on a number settings.aoData[dataIndex]._aSortData[initial.rankColumn] = +score.substring(0, score.length - 1); // Return the value for the pass as decided by the fuzzySearch function return settings.aoData[dataIndex]._fuzzySearch.pass; } else { settings.aoData[dataIndex].anCells[initial.rankColumn].innerHTML = ''; settings.aoData[dataIndex]._aSortData[initial.rankColumn] = ''; } return true; } ); $(document).on('init.dt', function(e, settings) { let api = new $.fn.dataTable.Api(settings); var initial = api.init().fuzzySearch; // If this is not set then fuzzy searching is not enabled on the table so return. if(!initial) { return; } // Find the input element let input = $('div.dataTables_filter input', api.table().container()) let fontBold = { 'font-weight': '600', 'background-color': 'rgba(255,255,255,0.1)' }; let fontNormal = { 'font-weight': '500', 'background-color': 'transparent' }; let toggleCSS = { 'border': 'none', 'background': 'none', 'font-size': '100%', 'width': '50%', 'display': 'inline-block', 'color': 'white', 'cursor': 'pointer', 'padding': '0.5em' } // Only going to set the toggle if it is enabled let toggle, tooltip, exact, fuzzy, label; if(initial.toggleSmart) { toggle =$('') .insertAfter(input) .css({ 'border': 'none', 'background': 'none', 'position': 'absolute', 'right': '0px', 'top': '4px', 'cursor': 'pointer', 'color': '#3b5e99', 'margin-top': '1px' }); exact =$('') .insertAfter(input) .css(toggleCSS) .css(fontBold) .attr('highlighted', true); fuzzy =$('') .insertAfter(input) .css(toggleCSS); input.css({ 'padding-right': '30px' }); label = $('