mirror of
https://github.com/LaCasemate/fab-manager.git
synced 2025-01-19 08:52:25 +01:00
751 lines
26 KiB
JavaScript
751 lines
26 KiB
JavaScript
/* eslint-disable
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camelcase,
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no-return-assign,
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no-undef,
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no-unreachable,
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no-unused-vars,
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standard/no-callback-literal,
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*/
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// TODO: This file was created by bulk-decaffeinate.
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// Fix any style issues and re-enable lint.
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/*
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* decaffeinate suggestions:
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* DS101: Remove unnecessary use of Array.from
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* DS102: Remove unnecessary code created because of implicit returns
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* DS205: Consider reworking code to avoid use of IIFEs
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* Full docs: https://github.com/decaffeinate/decaffeinate/blob/master/docs/suggestions.md
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*/
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'use strict'
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Application.Controllers.controller('GraphsController', ['$scope', '$state', '$rootScope', 'es', 'Statistics', '_t',
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function ($scope, $state, $rootScope, es, Statistics, _t) {
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/* PRIVATE STATIC CONSTANTS */
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// # height of the HTML/SVG charts elements in pixels
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const CHART_HEIGHT = 500
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// # Label of the charts' horizontal axes
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const X_AXIS_LABEL = _t('date')
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// # Label of the charts' vertical axes
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const Y_AXIS_LABEL = _t('number')
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// # Colors for the line charts. Each new line uses the next color in this array
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const CHART_COLORS = ['#b35a94', '#1c5794', '#00b49e', '#6fac48', '#ebcf4a', '#fd7e33', '#ca3436', '#a26e3a']
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/* PUBLIC SCOPE */
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// # ui-view transitions optimization: if true, the charts will never be refreshed
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$scope.preventRefresh = false
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// # statistics structure in elasticSearch
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$scope.statistics = []
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// # statistics data recovered from elasticSearch
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$scope.data = null
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// # default interval: one day
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$scope.display =
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{ interval: 'week' }
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// # active tab will be set here
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$scope.selectedIndex = null
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// # for palmares graphs, filters values are stored here
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$scope.ranking = {
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sortCriterion: 'ca',
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groupCriterion: 'subType'
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}
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// # default: we do not open the datepicker menu
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$scope.datePicker =
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{ show: false }
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// # datePicker parameters for interval beginning
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$scope.datePickerStart = {
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format: Fablab.uibDateFormat,
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opened: false, // default: datePicker is not shown
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minDate: null,
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maxDate: moment().subtract(1, 'day').toDate(),
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selected: moment().utc().subtract(1, 'months').subtract(1, 'day').startOf('day').toDate(),
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options: {
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startingDay: Fablab.weekStartingDay
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}
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}
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// # datePicker parameters for interval ending
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$scope.datePickerEnd = {
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format: Fablab.uibDateFormat,
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opened: false, // default: datePicker is not shown
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minDate: null,
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maxDate: moment().subtract(1, 'day').toDate(),
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selected: moment().subtract(1, 'day').endOf('day').toDate(),
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options: {
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startingDay: Fablab.weekStartingDay
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}
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}
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// #
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// Callback to open the datepicker (interval start)
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// @param {Object} jQuery event object
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// #
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$scope.toggleStartDatePicker = $event => toggleDatePicker($event, $scope.datePickerStart)
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// #
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// Callback to open the datepicker (interval end)
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// @param {Object} jQuery event object
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// #
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$scope.toggleEndDatePicker = $event => toggleDatePicker($event, $scope.datePickerEnd)
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// #
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// Callback called when the active tab is changed.
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// Recover the current tab and store its value in $scope.selectedIndex
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// @param tab {Object} elasticsearch statistic structure
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// #
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$scope.setActiveTab = function (tab) {
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$scope.selectedIndex = tab
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$scope.ranking.groupCriterion = 'subType'
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if (tab.ca) {
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$scope.ranking.sortCriterion = 'ca'
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} else {
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$scope.ranking.sortCriterion = tab.types[0].key
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}
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return refreshChart()
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}
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// #
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// Callback to close the date-picking popup and refresh the results
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// #
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$scope.validateDateChange = function () {
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$scope.datePicker.show = false
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return refreshChart()
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}
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/* PRIVATE SCOPE */
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// #
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// Kind of constructor: these actions will be realized first when the controller is loaded
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// #
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const initialize = function () {
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Statistics.query(function (stats) {
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$scope.statistics = stats
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// watch the interval changes to refresh the graph
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$scope.$watch(scope => scope.display.interval
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, (newValue, oldValue) => refreshChart())
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$scope.$watch(scope => scope.ranking.sortCriterion
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, (newValue, oldValue) => refreshChart())
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$scope.$watch(scope => scope.ranking.groupCriterion
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, (newValue, oldValue) => refreshChart())
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return refreshChart()
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})
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// workaround for angular-bootstrap::tabs behavior: on tab deletion, another tab will be selected
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// which will cause every tabs to reload, one by one, when the view is closed
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return $rootScope.$on('$stateChangeStart', function (event, toState, toParams, fromState, fromParams) {
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if ((fromState.name === 'app.admin.stats_graphs') && (Object.keys(fromParams).length === 0)) {
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return $scope.preventRefresh = true
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}
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})
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}
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// #
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// Generic function to toggle a bootstrap datePicker
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// @param $event {Object} jQuery event object
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// @param datePicker {Object} settings object of the concerned datepicker. Must have an 'opened' property
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// #
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var toggleDatePicker = function ($event, datePicker) {
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$event.preventDefault()
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$event.stopPropagation()
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return datePicker.opened = !datePicker.opened
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}
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// #
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// Query elasticSearch according to the current parameters and update the chart
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// #
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var refreshChart = function () {
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if ($scope.selectedIndex && !$scope.preventRefresh) {
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return query($scope.selectedIndex, function (aggregations, error) {
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if (error) {
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return console.error(error)
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} else {
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if ($scope.selectedIndex.graph.chart_type !== 'discreteBarChart') {
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$scope.data = formatAggregations(aggregations)
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return angular.forEach($scope.data, (datum, key) => updateChart($scope.selectedIndex.graph.chart_type, datum, key))
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} else {
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$scope.data = formatRankingAggregations(aggregations, $scope.selectedIndex.graph.limit, $scope.ranking.groupCriterion)
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return updateChart($scope.selectedIndex.graph.chart_type, $scope.data.ranking, $scope.selectedIndex.es_type_key)
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}
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}
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})
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}
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}
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// #
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// Callback used in NVD3 to print timestamps as literal dates on the X axis
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// #
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const xAxisTickFormatFunction = function (d, x, y) {
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/* WARNING !! These tests (typeof/instanceof) may become broken on nvd3 update */
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if ($scope.display.interval === 'day') {
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if ((typeof d === 'number') || d instanceof Date) {
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return d3.time.format(Fablab.d3DateFormat)(moment(d).toDate())
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} else { // typeof d == 'string'
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return d
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}
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} else if ($scope.display.interval === 'week') {
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if ((typeof x === 'number') || d instanceof Date) {
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return d3.time.format(_t('week_short') + ' %U')(moment(d).toDate())
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} else if (typeof d === 'number') {
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return _t('week_of_START_to_END', { START: moment(d).format('L'), END: moment(d).add(6, 'days').format('L') })
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} else { // typeof d == 'string'
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return d
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}
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} else if ($scope.display.interval === 'month') {
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if (typeof d === 'number') {
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const label = moment(d).format('MMMM YYYY')
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return label.substr(0, 1).toUpperCase() + label.substr(1).toLowerCase()
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} else { // typeof d == 'string'
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return d
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}
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}
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}
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// #
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// Format aggregations as retuned by elasticSearch to an understandable format for NVD3
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// @param aggs {Object} as returned by elasticsearch
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// #
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var formatAggregations = function (aggs) {
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const format = {}
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angular.forEach(aggs, function (type, type_key) { // go through aggs[$TYPE] where $TYPE = month|year|hour|booking|...
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format[type_key] = []
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if (type.subgroups) {
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return angular.forEach(type.subgroups.buckets, subgroup => // go through aggs.$TYPE.subgroups.buckets where each bucket represent a $SUBTYPE
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angular.forEach($scope.selectedIndex.types, function (cur_type) { // in the mean time, go through the types of the current index (active tab) ...
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if (cur_type.key === type_key) { // ... looking for the type matching $TYPE
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return (() => {
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const result = []
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for (let it_st = 0, end = cur_type.subtypes.length - 1; it_st <= end; it_st++) { // when we've found it, iterate over its subtypes ...
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const cur_subtype = cur_type.subtypes[it_st]
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if (subgroup.key === cur_subtype.key) { // ... which match $SUBTYPE
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// then we construct NVD3 dataSource according to these information
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var dataSource = {
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values: [],
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key: cur_subtype.label,
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total: 0,
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color: CHART_COLORS[it_st],
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area: true
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}
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// finally, we iterate over 'intervals' buckets witch contains
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// per date aggregations for our current dataSource
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angular.forEach(subgroup.intervals.buckets, function (interval) {
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dataSource.values.push({
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x: interval.key,
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y: interval.total.value
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})
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return dataSource.total += parseInt(interval.total.value)
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})
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dataSource.key += ` (${dataSource.total})`
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result.push(format[type_key].push(dataSource))
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} else {
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result.push(undefined)
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}
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}
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return result
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})()
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}
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})
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)
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}
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})
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return format
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}
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// #
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// Format aggregations for ranking charts to an understandable format for NVD3
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// @param aggs {Object} as returned by elasticsearch
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// @param limit {number} limit the number of stats in the bar chart
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// @param typeKey {String} field name witch results are grouped by
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// #
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var formatRankingAggregations = function (aggs, limit, typeKey) {
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const format =
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{ ranking: [] }
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let it = 0
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while (it < aggs.subgroups.buckets.length) {
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const bucket = aggs.subgroups.buckets[it]
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const dataSource = {
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values: [],
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key: getRankingLabel(bucket.key, typeKey),
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color: CHART_COLORS[it],
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area: true
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}
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dataSource.values.push({
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x: getRankingLabel(bucket.key, typeKey),
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y: bucket.total.value
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})
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format.ranking.push(dataSource)
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it++
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}
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const getY = object => object.values[0].y
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format.ranking = stableSort(format.ranking, 'DESC', getY).slice(0, limit)
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for (let i = 0, end = format.ranking.length; i <= end; i++) {
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if (typeof format.ranking[i] === 'undefined') { format.ranking.splice(i, 1) }
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}
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return format
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}
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// #
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// For BarCharts, return the label for a given bar
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// @param key {string} raw value of the label
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// @param typeKey {string} name of the field the results are grouped by
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// #
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var getRankingLabel = function (key, typeKey) {
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if ($scope.selectedIndex) {
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if (typeKey === 'subType') {
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for (let type of Array.from($scope.selectedIndex.types)) {
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for (let subtype of Array.from(type.subtypes)) {
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if (subtype.key === key) {
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return subtype.label
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}
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}
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}
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} else {
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for (let field of Array.from($scope.selectedIndex.additional_fields)) {
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if (field.key === typeKey) {
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switch (field.data_type) {
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case 'date': return moment(key).format('LL'); break
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case 'list': return key.name; break
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default: return key
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}
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}
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}
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}
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}
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}
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// #
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// Prepare the elasticSearch query for the stats matching the current controller's parameters
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// @param index {{id:{number}, es_type_key:{string}, label:{string}, table:{boolean}, additional_fields:{Array},
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// types:{Array}, graph:{Object}}} elasticSearch type in stats index to query
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// @param callback {function} function be to run after results were retrieved,
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// it will receive two parameters : results {Array}, error {String} (if any)
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// #
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var query = function (index, callback) {
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// invalid callback handeling
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if (typeof (callback) !== 'function') {
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console.error('[graphsController::query] Error: invalid callback provided')
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return
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}
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if (!index) {
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callback([], '[graphsController::query] Error: invalid index provided')
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return
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}
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if (index.graph.chart_type !== 'discreteBarChart') {
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// list statistics types
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const stat_types = []
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for (let t of Array.from(index.types)) {
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if (t.graph) {
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stat_types.push(t.key)
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}
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}
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// exception handeling
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if (stat_types.length === 0) {
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callback([], 'Error: Unable to retrieve any graphical statistic types in the provided index')
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}
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let type_it = 0
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const results = {}
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let error = ''
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var recursiveCb = function () {
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if (type_it < stat_types.length) {
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return queryElasticStats(index.es_type_key, stat_types[type_it], function (prevResults, prevError) {
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if (prevError) {
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console.error(`[graphsController::query] ${prevError}`)
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error += `\n${prevError}`
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}
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results[stat_types[type_it]] = prevResults
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type_it++
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return recursiveCb()
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})
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} else {
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return callback(results)
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}
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}
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return recursiveCb()
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} else { // palmares (ranking)
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return queryElasticRanking(index.es_type_key, $scope.ranking.groupCriterion, $scope.ranking.sortCriterion, function (results, error) {
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if (error) {
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return callback([], error)
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} else {
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return callback(results)
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}
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})
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}
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}
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// #
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// Run the elasticSearch query to retreive the /stats/type aggregations
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// @param esType {String} elasticSearch document type (subscription|machine|training|...)
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// @param statType {String} statistics type (year|month|hour|booking|...)
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// @param callback {function} function be to run after results were retrieved,
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// it will receive two parameters : results {Array}, error {String} (if any)
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// #
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var queryElasticStats = function (esType, statType, callback) {
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// handle invalid callback
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if (typeof (callback) !== 'function') {
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console.error('[graphsController::queryElasticStats] Error: invalid callback provided')
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return
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}
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if (!esType || !statType) {
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callback([], '[graphsController::queryElasticStats] Error: invalid parameters provided')
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}
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// run query
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return es.search({
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'index': 'stats',
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'type': esType,
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'searchType': 'query_then_fetch',
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'size': 0,
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'stat-type': statType,
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'custom-query': '',
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'start-date': moment($scope.datePickerStart.selected).format(),
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'end-date': moment($scope.datePickerEnd.selected).format(),
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'body': buildElasticAggregationsQuery(statType, $scope.display.interval, moment($scope.datePickerStart.selected), moment($scope.datePickerEnd.selected))
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}
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, function (error, response) {
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if (error) {
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return callback([], `Error: something unexpected occurred during elasticSearch query: ${error}`)
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} else {
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return callback(response.aggregations)
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}
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})
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}
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// #
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// For ranking displays, run the elasticSearch query to retreive the /stats/type aggregations
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// @param esType {string} elasticSearch document type (subscription|machine|training|...)
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// @param groupKey {string} statistics subtype or custom field
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// @param sortKey {string} statistics type or 'ca'
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// @param callback {function} function be to run after results were retrieved,
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// it will receive two parameters : results {Array}, error {String} (if any)
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// #
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var queryElasticRanking = function (esType, groupKey, sortKey, callback) {
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// handle invalid callback
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if (typeof (callback) !== 'function') {
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return console.error('[graphsController::queryElasticRanking] Error: invalid callback provided')
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}
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if (!esType || !groupKey || !sortKey) {
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return callback([], '[graphsController::queryElasticRanking] Error: invalid parameters provided')
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}
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// run query
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return es.search({
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'index': 'stats',
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'type': esType,
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'searchType': 'query_then_fetch',
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'size': 0,
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'body': buildElasticAggregationsRankingQuery(groupKey, sortKey, moment($scope.datePickerStart.selected), moment($scope.datePickerEnd.selected))
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}
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, function (error, response) {
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if (error) {
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return callback([], `Error: something unexpected occurred during elasticSearch query: ${error}`)
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} else {
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return callback(response.aggregations)
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}
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})
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}
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// #
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// Parse a final elastic results bucket and return a D3 compatible object
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// @param bucket {{key_as_string:{String}, key:{Number}, doc_count:{Number}, total:{{value:{Number}}}}} interval bucket
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// #
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const parseElasticBucket = bucket => [ bucket.key, bucket.total.value ]
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// #
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// Build an object representing the content of the REST-JSON query to elasticSearch, based on the parameters
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// currently defined for data aggegations.
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// @param type {String} statistics type (visit|rdv|rating|ca|plan|account|search|...)
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// @param interval {String} statistics interval (year|quarter|month|week|day|hour|minute|second)
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// @param intervalBegin {moment} statitics interval beginning (moment.js type)
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// @param intervalEnd {moment} statitics interval ending (moment.js type)
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// #
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var buildElasticAggregationsQuery = function (type, interval, intervalBegin, intervalEnd) {
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const q = {
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'query': {
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'bool': {
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'must': [
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{
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'match': {
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'type': type
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}
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},
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{
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'range': {
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'date': {
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'gte': intervalBegin.format(),
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'lte': intervalEnd.format()
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}
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}
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}
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]
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}
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},
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'aggregations': {
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'subgroups': {
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'terms': {
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'field': 'subType'
|
|
}, // TODO allow aggregate by custom field
|
|
'aggregations': {
|
|
'intervals': {
|
|
'date_histogram': {
|
|
'field': 'date',
|
|
'interval': interval,
|
|
'min_doc_count': 0,
|
|
'extended_bounds': {
|
|
'min': intervalBegin.valueOf(),
|
|
'max': intervalEnd.valueOf()
|
|
}
|
|
},
|
|
'aggregations': {
|
|
'total': {
|
|
'sum': {
|
|
'field': 'stat'
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// scale weeks on sunday as nvd3 supports only these weeks
|
|
if (interval === 'week') {
|
|
q.aggregations.subgroups.aggregations.intervals.date_histogram['offset'] = '-1d'
|
|
// scale days to UTC time
|
|
} else if (interval === 'day') {
|
|
const offset = moment().utcOffset()
|
|
q.aggregations.subgroups.aggregations.intervals.date_histogram['offset'] = (-offset) + 'm'
|
|
}
|
|
return q
|
|
}
|
|
|
|
// #
|
|
// Build an object representing the content of the REST-JSON query to elasticSearch, based on the parameters
|
|
// currently defined for data aggegations.
|
|
// @param groupKey {String} statistics subtype or custom field
|
|
// @param sortKey {String} statistics type or 'ca'
|
|
// @param intervalBegin {moment} statitics interval beginning (moment.js type)
|
|
// @param intervalEnd {moment} statitics interval ending (moment.js type)
|
|
// #
|
|
var buildElasticAggregationsRankingQuery = function (groupKey, sortKey, intervalBegin, intervalEnd) {
|
|
const q = {
|
|
'query': {
|
|
'bool': {
|
|
'must': [
|
|
{
|
|
'range': {
|
|
'date': {
|
|
'gte': intervalBegin.format(),
|
|
'lte': intervalEnd.format()
|
|
}
|
|
}
|
|
},
|
|
{
|
|
'term': {
|
|
'type': 'booking'
|
|
}
|
|
}
|
|
]
|
|
}
|
|
},
|
|
'aggregations': {
|
|
'subgroups': {
|
|
'terms': {
|
|
'field': groupKey,
|
|
'size': 10,
|
|
'order': {
|
|
'total': 'desc'
|
|
}
|
|
},
|
|
'aggregations': {
|
|
'top_events': {
|
|
'top_hits': {
|
|
'size': 1,
|
|
'sort': [
|
|
{ 'ca': 'desc' }
|
|
]
|
|
}
|
|
},
|
|
'total': {
|
|
'sum': {
|
|
'field': 'stat'
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// results must be sorted and limited later by angular
|
|
if (sortKey !== 'ca') {
|
|
angular.forEach(q.query.bool.must, function (must) {
|
|
if (must.term) {
|
|
return must.term.type = sortKey
|
|
}
|
|
})
|
|
} else {
|
|
q.aggregations.subgroups.aggregations.total.sum.field = sortKey
|
|
}
|
|
|
|
return q
|
|
}
|
|
|
|
// #
|
|
// Redraw the NDV3 chart using the provided data
|
|
// @param chart_type {String} stackedAreaChart|discreteBarChart|lineChart
|
|
// @param data {Array} array of NVD3 dataSources
|
|
// @param type {String} which chart to update (statistic type key)
|
|
// #
|
|
var updateChart = function (chart_type, data, type) {
|
|
const id = `#chart-${type} svg`
|
|
|
|
// clean old charts
|
|
d3.selectAll(id + ' > *').remove()
|
|
|
|
return nv.addGraph(function () {
|
|
// no data or many dates, display line charts
|
|
let chart
|
|
if ((data.length === 0) || ((data[0].values.length > 1) && (chart_type !== 'discreteBarChart'))) {
|
|
if (chart_type === 'stackedAreaChart') {
|
|
chart = nv.models.stackedAreaChart().useInteractiveGuideline(true)
|
|
} else {
|
|
chart = nv.models.lineChart().useInteractiveGuideline(true)
|
|
}
|
|
|
|
if (data.length > 0) {
|
|
if ($scope.display.interval === 'day') {
|
|
setTimeScale(chart.xAxis, chart.xScale, [d3.time.day, data[0].values.length])
|
|
} else if ($scope.display.interval === 'week') {
|
|
setTimeScale(chart.xAxis, chart.xScale, [d3.time.week, data[0].values.length])
|
|
} else if ($scope.display.interval === 'month') {
|
|
setTimeScale(chart.xAxis, chart.xScale, [d3.time.month, data[0].values.length])
|
|
}
|
|
}
|
|
|
|
chart.xAxis.tickFormat(xAxisTickFormatFunction)
|
|
chart.yAxis.tickFormat(d3.format('d'))
|
|
|
|
chart.xAxis.axisLabel(X_AXIS_LABEL)
|
|
chart.yAxis.axisLabel(Y_AXIS_LABEL)
|
|
|
|
// only one date, display histograms
|
|
} else {
|
|
chart = nv.models.discreteBarChart()
|
|
chart.tooltip.enabled(false)
|
|
chart.showValues(true)
|
|
chart.x(d => d.label)
|
|
chart.y(d => d.value)
|
|
data = prepareDataForBarChart(data, type)
|
|
}
|
|
|
|
// common for each charts
|
|
chart.margin({ left: 100, right: 100 })
|
|
chart.noData(_t('no_data_for_this_period'))
|
|
chart.height(CHART_HEIGHT)
|
|
|
|
// add new chart to the page
|
|
d3.select(id).datum(data).transition().duration(350).call(chart)
|
|
|
|
// resize the graph when the page is resized
|
|
nv.utils.windowResize(chart.update)
|
|
// return the chart
|
|
return chart
|
|
})
|
|
}
|
|
|
|
// #
|
|
// Given an NVD3 line chart axis, scale it to display ordinated dates, according to the given arguments
|
|
// #
|
|
var setTimeScale = function (nvd3Axis, nvd3Scale, argsArray) {
|
|
const scale = d3.time.scale()
|
|
|
|
nvd3Axis.scale(scale)
|
|
nvd3Scale(scale)
|
|
|
|
if (!argsArray && !argsArray.length) {
|
|
const oldTicks = nvd3Axis.axis.ticks
|
|
return nvd3Axis.axis.ticks = () => oldTicks.apply(nvd3Axis.axis, argsArray)
|
|
}
|
|
}
|
|
|
|
// #
|
|
// Translate line chart data in dates row to bar chart data, one bar per type.
|
|
// #
|
|
var prepareDataForBarChart = function (data, type) {
|
|
const newData = [{
|
|
key: type,
|
|
values: []
|
|
}
|
|
]
|
|
for (let info of Array.from(data)) {
|
|
if (info) {
|
|
newData[0].values.push({
|
|
'label': info.key,
|
|
'value': info.values[0].y,
|
|
'color': info.color
|
|
})
|
|
}
|
|
}
|
|
|
|
return newData
|
|
}
|
|
|
|
// #
|
|
// Sort the provided array, in the specified order, on the value returned by the callback.
|
|
// This is a stable-sorting algorithm implementation, ie. two call with the same array will return the same results
|
|
// orders, especially with equal values.
|
|
// @param array {Array} the array to sort
|
|
// @param order {string} 'ASC' or 'DESC'
|
|
// @param getValue {function} the callback which will return the value on which the sort will occurs
|
|
// @returns {Array}
|
|
// #
|
|
var stableSort = function (array, order, getValue) {
|
|
// prepare sorting
|
|
const keys_order = []
|
|
const result = []
|
|
for (let i = 0, end = array.length; i <= end; i++) {
|
|
keys_order[array[i]] = i
|
|
result.push(array[i])
|
|
}
|
|
|
|
// callback for javascript native Array.sort()
|
|
const sort_fc = function (a, b) {
|
|
const val_a = getValue(a)
|
|
const val_b = getValue(b)
|
|
if (val_a === val_b) {
|
|
return keys_order[a] - keys_order[b]
|
|
}
|
|
if (val_a < val_b) {
|
|
if (order === 'ASC') {
|
|
return -1
|
|
} else { return 1 }
|
|
} else {
|
|
if (order === 'ASC') {
|
|
return 1
|
|
} else { return -1 }
|
|
}
|
|
}
|
|
|
|
// finish the sort
|
|
result.sort(sort_fc)
|
|
return result
|
|
}
|
|
|
|
// # !!! MUST BE CALLED AT THE END of the controller
|
|
return initialize()
|
|
}
|
|
])
|