Example JS stat bucket roller

stats.js

'use strict';


var statTracker = function(interval){
  if(!interval) interval = 60000
  //hits (would be stored in mongo
  var hits = {total: 0, hour: 0, day: 0, month: 0}
  //last counters
  var last = {hour: 0, day: 0, month: 0}
  //previous time increments
  var previous = {hour: 0, day: 0, month: 0}
  var run = function(){
    setTimeout(run,interval)
    var now = new Date().now()
    if(previous.hour < now.getHours()){
      hits.hour = hits.total - last.hour
      last.hour = hits.total
      previous.hour = now.getHours()
    }
    if(previous.day < now.getDay()){
      hits.day = hits.total - last.day
      last.day = hits.total
      previous.day = now.getDay()
    }
    if(previous.month < now.getMonth()){
      hits.month = hits.total - last.month
      last.month = hits.total
      previous.month = now.getMonth()
    }
  }
}

withModels.js

'use strict';

var Model = {}

var statTracker = function(interval){
  if(!interval) interval = 60000
  var previous = {}
  var run = function(network,last){
    //setup our increment trackers since they need to be contextual now
    if(!last) last = {}
    //call the timeout for the next run with our context and last pointers
    setTimeout(function(){run(network,last)},interval)
    //do some stat tracker shit in here
    var now = new Date().now()
    var changed = false
    if(previous.hour < now.getHour()){
      changed = true
      //stuff
    }
    if(changed) network.save()
  }
  var stream = Model.find().stream()
  stream.on('data',function(network){
    //fire off the intial stat collector loop with the proper context
    //one per network
    run(network)
  })
  stream.on('end',function(){
    console.log('finished setting up run loops')
  })
}