portainer/app/components/stats/statsController.js

angular.module('stats', [])
    .controller('StatsController', ['Settings', '$scope', 'Messages', '$timeout', 'Container', '$routeParams', 'humansizeFilter', function (Settings, $scope, Messages, $timeout, Container, $routeParams, humansizeFilter) {
        // TODO: Implement memory chart, force scale to 0-100 for cpu, 0 to limit for memory, fix charts on dashboard,
        // TODO: Force memory scale to 0 - max memory
        //var initialStats = {}; // Used to set scale of memory graph.
        //
        //Container.stats({id: $routeParams.id}, function (d) {
        //    var arr = Object.keys(d).map(function (key) {
        //        return d[key];
        //    });
        //    if (arr.join('').indexOf('no such id') !== -1) {
        //        Messages.error('Unable to retrieve stats', 'Is this container running?');
        //        return;
        //    }
        //    initialStats = d;
        //}, function () {
        //    Messages.error('Unable to retrieve stats', 'Is this container running?');
        //});

        var cpuLabels = [];
        var cpuData = [];
        var memoryLabels = [];
        var memoryData = [];
        for (var i = 0; i < 40; i++) {
            cpuLabels.push('');
            cpuData.push(0);
            memoryLabels.push('');
            memoryData.push(0);
        }
        var cpuDataset = { // CPU Usage
            fillColor: "rgba(151,187,205,0.5)",
            strokeColor: "rgba(151,187,205,1)",
            pointColor: "rgba(151,187,205,1)",
            pointStrokeColor: "#fff",
            data: cpuData
        };
        var memoryDataset = {
            fillColor: "rgba(151,187,205,0.5)",
            strokeColor: "rgba(151,187,205,1)",
            pointColor: "rgba(151,187,205,1)",
            pointStrokeColor: "#fff",
            data: memoryData
        };


        var cpuChart = new Chart($('#cpu-stats-chart').get(0).getContext("2d")).Line({
            labels: cpuLabels,
            datasets: [cpuDataset]
        }, {
            responsive: true
        });

        var memoryChart = new Chart($('#memory-stats-chart').get(0).getContext('2d')).Line({
                labels: memoryLabels,
                datasets: [memoryDataset]
            },
            {
                scaleLabel: function (valueObj) {
                    return humansizeFilter(parseInt(valueObj.value));
                },
                responsive: true,
                //scaleOverride: true,
                //scaleSteps: 10,
                //scaleStepWidth: Math.ceil(initialStats.memory_stats.limit / 10),
                //scaleStartValue: 0
            });


        function updateStats() {
            Container.stats({id: $routeParams.id}, function (d) {
                var arr = Object.keys(d).map(function (key) {
                    return d[key];
                });
                if (arr.join('').indexOf('no such id') !== -1) {
                    Messages.error('Unable to retrieve stats', 'Is this container running?');
                    return;
                }

                // Update graph with latest data
                updateChart(d);
                updateMemoryChart(d);
                $timeout(updateStats, 1000); // TODO: Switch to setInterval for more consistent readings
            }, function () {
                Messages.error('Unable to retrieve stats', 'Is this container running?');
            });
        }

        updateStats();

        function updateChart(data) {
            console.log('updateChart', data);
            cpuChart.addData([calculateCPUPercent(data)], new Date(data.read).toLocaleTimeString());
            cpuChart.removeData();
        }

        function updateMemoryChart(data) {
            console.log('updateMemoryChart', data);
            memoryChart.addData([data.memory_stats.usage], new Date(data.read).toLocaleTimeString());
            memoryChart.removeData();

        }

        function calculateCPUPercent(stats) {
            // Same algorithm the official client uses: https://github.com/docker/docker/blob/master/api/client/stats.go#L195-L208
            var prevCpu = stats.precpu_stats;
            var curCpu = stats.cpu_stats;

            var cpuPercent = 0.0;

            // calculate the change for the cpu usage of the container in between readings
            var cpuDelta = curCpu.cpu_usage.total_usage - prevCpu.cpu_usage.total_usage;
            // calculate the change for the entire system between readings
            var systemDelta = curCpu.system_cpu_usage - prevCpu.system_cpu_usage;

            if (systemDelta > 0.0 && cpuDelta > 0.0) {
                //console.log('size thing:', curCpu.cpu_usage.percpu_usage);
                cpuPercent = (cpuDelta / systemDelta) * curCpu.cpu_usage.percpu_usage.length * 100.0;
            }
            return Math.random() * 100;
            //return cpuPercent; TODO: Switch back to the real value
        }
    }])
;