// ## Declare Methods
// Connects to DataSift and starts streaming data:
function connect(hash) {
// Set up a 'connect' event handler, which will fire when a connection is established. When connected we compile our CSDL filter and subscribe to streaming data.
ds.on('connect', function () {
console.log('Connected to DataSift');
subscribe(filter);
});
// Set up 'error' handler to alert us of any errors. For more details on possible errors see [http://dev.datasift.com/docs/resources/errors](http://dev.datasift.com/docs/resources/errors).
ds.on('error', function (error) {
console.log('ERROR: ' + error);
});
// Set up 'delete' handler. Depending on the data sources you are using, you may need to delete this data to stay compliant.
ds.on('delete', function (data) {
console.log('Data deleted: ', data); // TODO: Do something useful with the data!
});
// Set up 'interaction' handler - this receives our data! This is triggered each time we receive a new interaction - a piece of data on the live stream.
ds.on('interaction', function (data) {
console.log('Recieved data: ', data);
});
// Now all handlers are set up, connect to DataSift!
ds.connect();
}
// Connects to DataSift and starts streaming data:
function connect(hash) {
// Set up a 'connect' event handler, which will fire when a connection is established. When connected we compile our CSDL filter and subscribe to streaming data.
ds.on('connect', function () {
console.log('Connected to DataSift');
console.log('loop:' + ccount)
ds.subscribe(hash);
});
// Set up 'error' handler to alert us of any errors. For more details on possible errors see [http://dev.datasift.com/docs/resources/errors](http://dev.datasift.com/docs/resources/errors).
ds.on('error', function (error) {
console.log('ERROR: ' + error);
});
// Set up 'delete' handler. Depending on the data sources you are using, you may need to delete this data to stay compliant.
ds.on('delete', function (data) {
console.log('Data deleted: ', data); // TODO: Do something useful with the data!
});
// Set up 'interaction' handler - this receives our data! This is triggered each time we receive a new interaction - a piece of data on the live stream.
ds.on('interaction', function (data) {
if(count<max)
{
status = 'Demo running...';
}
else
{
status = 'Demo finished';
}
console.log(status);
//console.log('Recieved data: ' + count, data);
console.log('Recieved data: ' + count, data.hash);
//info[count]=data;
console.log('sending record' + count + 'to database')
//try this
var displayData = JSON.stringify(data);
//console.log("This is the data: " + displayData);
var dataRead = JSON.parse(displayData);
console.log("This came from: " + dataRead.data.interaction.tag_tree.brand);
sendRecord(data);
count = count + 1;
var brandTemp = dataRead.data.interaction.tag_tree.brand;
//var locationTemp = dataRead.data.interaction.tag_tree.location;
var authorTemp = dataRead.data.interaction.author.username;
var textTemp = dataRead.data.interaction.content;
var serviceTemp = dataRead.data.interaction.type
//count brand mentions
if (brandTemp == brand1){
adidas++;
total++;
}
if (brandTemp == brand2){
nike++;
total++;
}
console.log(brand1 +': ' + adidas + ' | ' + brand2 + ': ' + nike)
if (count>=max){
ds.unsubscribe(hash);
console.log('unsubcribed');
status = 'Demo finished: ' + max + ' items';
console.log(status)
//javascript_abort();
}
//send nike and adidas values to browser
io.sockets.volatile.emit('tweet', {
service: serviceTemp,
user: authorTemp,
text: textTemp,
adidasPercent: (adidas/total)*100,
nikePercent: (nike/total)*100,
adidasTotal: adidas,
nikeTotal: nike,
totalTotal: total,
jobStatus: status,
webBrand1: brand1,
webBrand2: brand2
});
});
// Now all handlers are set up, connect to DataSift!
ds.connect();
}