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Google Analytics real time dashboard via Node.js
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DEVICES = 1000 * 15 # Only call the API once every 15 seconds. | |
path = require 'path' | |
google = require 'googleapis' | |
key = require './config/analytics.json' # This is the key Google Developer has you download upon service account creation. | |
express = require 'express' | |
http = require 'http' | |
https = require 'https' | |
analytics = google.analytics 'v3' | |
app = express() | |
server = http.createServer app | |
io = require('socket.io')(server) # We don't want users to have to refresh the dashboard for data updates. | |
port = process.env.PORT or 3000 | |
app.use '/static', express.static path.join __dirname, 'node_modules' | |
app.get '/dashboard', (req, res) -> | |
res.sendFile path.join __dirname, 'dashboard.html' | |
SCOPES = [ | |
'https://www.googleapis.com/auth/analytics.readonly' | |
] | |
jwtClient = new google.auth.JWT key.client_email, null, key.private_key, SCOPES, null | |
authorize = (metric, dimension, next) -> | |
jwtClient.authorize (err, tokens) -> | |
if err | |
console.error err | |
next err | |
request = analytics.data.realtime.get | |
'auth' : jwtClient | |
'ids' : 'ga:xxxxxx' | |
'metrics' : metric | |
'dimensions' : dimension | |
'output' : 'json' | |
next 'https://' + request.host + request.path + '&access_token=' + jwtClient.gtoken.raw_token.access_token | |
makeRequests = (url, next) -> | |
https.get url, (response) -> | |
buffer = '' | |
response.on 'data', (chunk) -> | |
buffer += chunk | |
response.on 'end', (err) -> | |
next JSON.parse buffer | |
setInterval authorize, DEVICES, 'rt:activeUsers', 'rt:deviceCategory', (response) -> | |
makeRequests response, (data) -> | |
io.emit 'devices', data: data | |
server.listen port, -> | |
console.log "Listening on port #{port}" |
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<html> | |
<head> | |
<script type="text/javascript" src="/socket.io/socket.io.js"></script> | |
<style> | |
h2.rightNow { | |
font-size: 28px; | |
font-family: sans-serif; | |
} | |
h2#onlineUsers { | |
font-size: 78px; | |
font-family: sans-serif; | |
} | |
span.rightNow { | |
font-size: 14px; | |
font-family: sans-serif; | |
} | |
</style> | |
</head> | |
<body> | |
<h2 class="rightNow">Right now</h2> | |
<h2 id="onlineUsers">0</h2> | |
<span class="rightNow">active users on site</span> | |
<canvas id="chart1"></canvas> | |
<script type="text/javascript" src="/static/jquery/dist/jquery.min.js"></script> | |
<script type="text/javascript" src="/static/chart.js/dist/Chart.bundle.min.js"></script> | |
<script type="text/javascript"> | |
var socket = io(); | |
socket.on('devices', function(data) { | |
$('.chartjs-hidden-iframe').remove(); | |
$('#onlineUsers').text(data.data.totalsForAllResults['rt:activeUsers']); | |
var colors = [ | |
[193, 57, 43], | |
[39, 174, 97], | |
[42, 128, 185], | |
[143, 68, 173] | |
]; | |
var newdata = [ | |
{ | |
data: [], | |
backgroundColor: [], | |
borderColor: [], | |
borderWidth: 1 | |
} | |
]; | |
var labels = []; | |
for (var i = 0; i < data.data.rows.length; i++) { | |
newdata[0].data.push(Math.round((data.data.rows[i][1] / data.data.totalsForAllResults['rt:activeUsers']) * 100)); | |
newdata[0].backgroundColor.push('rgba(' + colors[i][0] + ',' + colors[i][1] + ',' + colors[i][2] + ',.65)'); | |
newdata[0].borderColor.push('rgb(' + colors[i][0] + ',' + colors[i][1] + ',' + colors[i][2] + ')'); | |
labels.push(data.data.rows[i][0].charAt(0).toUpperCase() + data.data.rows[i][0].substr(1).toLowerCase() + ' (' + Math.round((data.data.rows[i][1] / data.data.totalsForAllResults['rt:activeUsers']) * 100) + '%)'); | |
} | |
var ctx = $('#chart1'); | |
var data = { | |
labels: labels, | |
datasets: newdata | |
}; | |
var pieChart = new Chart(ctx, { | |
type: 'pie', | |
data: data, | |
options: { | |
tooltips: { | |
enabled: false | |
}, | |
legend: { | |
display: true | |
}, | |
animation: { | |
duration: 1 | |
} | |
} | |
}); | |
}); | |
</script> | |
</body> | |
</html> |
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