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app.js
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app.js
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var express = require('express');
var path = require('path');
var favicon = require('serve-favicon');
var logger = require('morgan');
var cookieParser = require('cookie-parser');
var bodyParser = require('body-parser');
var routes = require('./routes/index');
var users = require('./routes/users');
var about = require('./routes/about');
var moreinfo = require('./routes/moreinfo');
var app = express();
// Import our databas connection handler
// https://github.com/HPE-Haven-OnDemand/havenondemand-node
var db = require('./app_server/models/dbs');
var hod = require('havenondemand');
var request = require('request');
var cheerio = require('cheerio');
var client = new hod.HODClient("9f68afe8-cdd7-43b3-a9e6-bfdb9e1d93bb", "v1");
/**
* To test the sentimental analysis, I query one recipe from the pre existing
* recipes database. Then call the havenondemand API to get the sentiment of each
* text. Note that, the text is the most important content from `data.url`
*/
app.use('api/recipes', function(req, res) {
})
db.Fridge.find({}, {
"_id": 0
}, function(err, data) {
if (err) console.log(err);
// This line took me quite a while to get it :(
var d = JSON.parse(JSON.stringify(data[0]));
var names = [];
for (var key in d) {
for (var i = 0; i < d[key].length; i++) {
names.push(d[key][i].name);
}
}
console.log("|======================================================INVENTORY FOODS======================================================|");
console.log(names);
var search = names.join(" ");
db.Recipes.find({
"$text": {
"$search": search
}
}, {
"score": {
"$meta": "textScore"
}
}, {
_id: 0
}).sort({
"score": {
"$meta": "textScore"
}
}).limit(-2).exec(function(err, data) {
console.log("|======================================================TOP 2 RECIPES======================================================|");
console.log(data);
data.map(function(item) {
request(item.url, function(error, response, body) {
if (!error && response.statusCode == 200) {
$ = cheerio.load(body);
// http://stackoverflow.com/questions/31543451/cheerio-extract-text-from-html-with-separators
var allP = $("body p").contents().map(function() {
return (this.type === 'text') ? $(this).text() : '';
}).get().join("");
// console.log(allP);
client.call('analyzesentiment', {
'text': allP
}, function(err, resp, body) {
if (err) console.log(err);
console.log("|======================================================SENTIMENTAL ANALYSIS======================================================|");
console.log(body.aggregate);
console.log("|================================================================================================================================|");
});
}
});
});
});
});
// db.Recipes.find().limit(1).exec(function(err, data) {
// if (err) console.log(err);
// request(data[0].url, function(error, response, body) {
// if (!error && response.statusCode == 200) {
// $ = cheerio.load(body);
// // http://stackoverflow.com/questions/31543451/cheerio-extract-text-from-html-with-separators
// var allP = $("body p").contents().map(function() {
// return (this.type === 'text') ? $(this).text() : '';
// }).get().join("");
// // console.log(allP);
// client.call('analyzesentiment', {
// 'text': allP
// }, function(err, resp, body) {
// if (err) console.log(err);
// console.log(body.aggregate);
// });
// }
// });
// });
// view engine setup
app.set('views', path.join(__dirname, 'views'));
app.set('view engine', 'ejs');
// uncomment after placing your favicon in /public
//app.use(favicon(path.join(__dirname, 'public', 'favicon.ico')));
app.use(logger('dev'));
app.use(bodyParser.json());
app.use(bodyParser.urlencoded({
extended: false
}));
app.use(cookieParser());
app.use(express.static(path.join(__dirname, 'public')));
app.use('/', routes);
app.use('/moreinfo', moreinfo);
app.use('/api', function(req, res) {
db.Recipes.find().limit(5).exec(function(err, data) {
if (err) console.log(err);
request(data[0].url, function(error, response, body) {
if (!error && response.statusCode == 200) {
$ = cheerio.load(body);
// http://stackoverflow.com/questions/31543451/cheerio-extract-text-from-html-with-separators
var allP = $("body p").contents().map(function() {
return (this.type === 'text') ? $(this).text() : '';
}).get().join("");
// console.log(allP);
client.call('analyzesentiment', {
'text': allP
}, function(err, resp, body) {
if (err) console.log(err);
res.json(data);
// res.json(body.aggregate);
console.log(body.aggregate);
});
}
});
console.log(data[0].description);
});
});
app.use('/users', users);
app.use('/about', about);
// catch 404 and forward to error handler
app.use(function(req, res, next) {
var err = new Error('Not Found');
err.status = 404;
next(err);
});
// error handlers
// development error handler
// will print stacktrace
if (app.get('env') === 'development') {
app.use(function(err, req, res, next) {
res.status(err.status || 500);
res.render('error', {
message: err.message,
error: err
});
});
}
// production error handler
// no stacktraces leaked to user
app.use(function(err, req, res, next) {
res.status(err.status || 500);
res.render('error', {
message: err.message,
error: {}
});
});
module.exports = app;