dbot/modules/drama.js

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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,
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'sd': 3, // self depracating
'normal': 1
},
'def': 'normal'
};
var bayes = new brain.BayesianClassifier(options);
var commands = {
'~train': function(data, params) {
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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 ' +
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params[1] + ' (' + last[params[1]][params[2]] + ') classified as \'' + params[3] + '\'');
}
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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);
var msg = params.join(' ');
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bayes.train(msg, category);
dbot.say(data.channel, '\'' + msg + '\' classified as \'' + category + '\'');
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},
'~classify': function() {
bayes.classify(data.message, function(category) {
dbot.say(data.channel, 'Classified as: ' + category + '!');
}.bind(this));
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}
}
}
return {
'onLoad': function() {
return commands;
},
'listener': function(data) {
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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);
};