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,
            'normal': 1
        },

        'def': 'normal'
    };
    var bayes = new brain.BayesianClassifier(options);

    var commands = {
        '~train': function(data, params) {
            if(data.user == dbot.admin) {
                bayes.train(last[params[1]][params[2]], params[3]);
                dbot.say(data.channel, 'Last thing ' + params[2] + ' said in ' + 
                        params[1] + ' classified as \'' + params[3] + '\'');
            }
        }, 

        '~rtrain': function(data, params) {
            if(data.user == dbot.admin) {
                var category = params[1];
                params.splice(0, 2);
                var msg = params.join(' ');
                bayes.train(msg, category);
                dbot.say(data.channel, '\'' + msg + '\' classified as \'' + category + '\'');
            }
        }
    }

    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);
};