forked from GitHub/dbot
68 lines
2.4 KiB
JavaScript
68 lines
2.4 KiB
JavaScript
var spelling = function(dbot) {
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var dbot = dbot;
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var last = {};
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var correct = function (data, correction, candidate, output_callback) {
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var rawCandidates = last[data.channel][candidate].split(' ').allGroupings();
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var candidates = [];
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for(var i=0;i<rawCandidates.length;i++) {
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candidates.push(rawCandidates[i].join(' '));
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}
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var winner = false;
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var winnerDistance = Infinity;
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for(var i=0;i<candidates.length;i++) {
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var distance = String.prototype.distance(correction, candidates[i]);
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if((distance < winnerDistance) && (distance > 0)) {
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winner = candidates[i];
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winnerDistance = distance;
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}
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}
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if(winnerDistance < Math.ceil(winner.length * 1.33)) {
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if(winner !== correction) {
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var fix = last[data.channel][candidate].replace(winner, correction);
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if (/^.ACTION/.test(fix)) {
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fix = fix.replace(/^.ACTION/, '/me');
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}
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last[data.channel][candidate] = fix;
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var output = {
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'fix': fix,
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'correcter': data.user,
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'candidate': candidate
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};
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output_callback(output);
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}
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}
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}
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return {
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'listener': function(data, params) {
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var q = data.message.valMatch(/^(?:\*\*?([\d\w\s']*)|([\d\w\s']*)\*\*?)$/, 3);
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var otherQ = data.message.valMatch(/^([\d\w\s]*): (?:\*\*?([\d\w\s']*)|([\d\w\s']*)\*\*?)$/, 4);
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if(q) {
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correct(data, q[1] || q[2], data.user, function (e) {
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dbot.say(data.channel, e.correcter + ' meant: ' + e.fix);
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});
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} else if(otherQ) {
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correct(data, otherQ[2] || otherQ[3], otherQ[1], function (e) {
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dbot.say(data.channel, e.correcter + ' thinks ' + e.candidate + ' meant: ' + e.fix);
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});
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} else {
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if(last.hasOwnProperty(data.channel)) {
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last[data.channel][data.user] = data.message;
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} else {
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last[data.channel] = { };
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last[data.channel][data.user] = data.message;
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}
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}
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},
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'on': 'PRIVMSG'
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}
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}
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exports.fetch = function(dbot) {
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return spelling(dbot);
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};
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