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