forked from GitHub/dbot
83 lines
2.5 KiB
JavaScript
83 lines
2.5 KiB
JavaScript
var brain = require('brain');
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var drama = function(dbot) {
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var dbot = dbot;
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var last = {};
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var options = {
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'backend': {
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'type': 'Redis',
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'options': {
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'hostname': 'localhost',
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'port': 6379,
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'name': 'dbotdrama'
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}
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},
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'thresholds': {
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'drama': 3,
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'beinganasshole': 3,
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'sd': 3, // self depracating
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'normal': 1
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},
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'def': 'normal'
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};
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var bayes = new brain.BayesianClassifier(options);
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var commands = {
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'~train': function(data, params) {
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if(data.user == dbot.admin || data.user == 'golem' || data.user == 'Sam') {
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bayes.train(last[params[1]][params[2]], params[3]);
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dbot.say(data.channel, 'Last thing ' + params[2] + ' said in ' +
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params[1] + ' (' + last[params[1]][params[2]] + ') classified as \'' + params[3] + '\'');
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}
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},
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'~rtrain': function(data, params) {
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if(data.user == dbot.admin || data.user == 'golem' || data.user == 'Sam') {
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var category = params[1];
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params.splice(0, 2);
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var msg = params.join(' ');
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bayes.train(msg, category);
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dbot.say(data.channel, '\'' + msg + '\' classified as \'' + category + '\'');
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}
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},
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'~classify': function(data, params) {
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params.splice(0, 1);
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var msg = params.join(' ');
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bayes.classify(msg, function(category) {
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dbot.say(data.channel, 'Classified as: ' + category + '!');
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}.bind(this));
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}
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}
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return {
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'onLoad': function() {
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return commands;
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},
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'listener': function(data) {
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var category = bayes.classify(data.message, function(category) {
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console.log(category + '!');
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if(category === 'beinganasshole') {
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dbot.say(data.channel, data.user + ': Quit being an asshole')
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}
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}.bind(this));
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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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'on': 'PRIVMSG'
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};
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}
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exports.fetch = function(dbot) {
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return drama(dbot);
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};
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