mirror of
https://github.com/LaCasemate/fab-manager.git
synced 2024-11-29 10:24:20 +01:00
650 lines
22 KiB
CoffeeScript
650 lines
22 KiB
CoffeeScript
'use strict'
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Application.Controllers.controller "GraphsController", ["$scope", "$state", "$rootScope", 'es', 'Statistics', '_t'
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, ($scope, $state, $rootScope, es, Statistics, _t) ->
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### PRIVATE STATIC CONSTANTS ###
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## height of the HTML/SVG charts elements in pixels
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CHART_HEIGHT = 500
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## Label of the charts' horizontal axes
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X_AXIS_LABEL = _t('date')
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## Label of the charts' vertical axes
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Y_AXIS_LABEL = _t('number')
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## Colors for the line charts. Each new line uses the next color in this array
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CHART_COLORS = ['#b35a94', '#1c5794', '#00b49e', '#6fac48', '#ebcf4a', '#fd7e33', '#ca3436', '#a26e3a']
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### PUBLIC SCOPE ###
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## ui-view transitions optimization: if true, the charts will never be refreshed
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$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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$scope.ranking =
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sortCriterion: 'ca'
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groupCriterion: 'subType'
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## default: we do not open the datepicker menu
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$scope.datePicker =
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show: false
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## datePicker parameters for interval beginning
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$scope.datePickerStart =
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format: Fablab.uibDateFormat
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opened: false # default: datePicker is not shown
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minDate: null
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maxDate: moment().subtract(1, 'day').toDate()
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selected: moment().utc().subtract(1, 'months').subtract(1, 'day').startOf('day').toDate()
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options:
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startingDay: Fablab.weekStartingDay
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## datePicker parameters for interval ending
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$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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# 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) ->
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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 = ($event) ->
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toggleDatePicker($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 = (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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refreshChart()
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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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$scope.validateDateChange = ->
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$scope.datePicker.show = false
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refreshChart()
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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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initialize = ->
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Statistics.query (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.$watch (scope) ->
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return scope.display.interval
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, (newValue, oldValue) ->
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refreshChart()
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$scope.$watch (scope) ->
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return scope.ranking.sortCriterion
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, (newValue, oldValue) ->
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refreshChart()
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$scope.$watch (scope) ->
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return scope.ranking.groupCriterion
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, (newValue, oldValue) ->
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refreshChart()
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refreshChart()
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# workaround for angular-bootstrap::tabs behavior: on tab deletion, another tab will be selected
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# which will cause every tabs to reload, one by one, when the view is closed
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$rootScope.$on '$stateChangeStart', (event, toState, toParams, fromState, fromParams) ->
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if fromState.name == 'app.admin.stats_graphs' and Object.keys(fromParams).length == 0
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$scope.preventRefresh = true
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##
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# Generic function to toggle a bootstrap datePicker
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# @param $event {Object} jQuery event object
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# @param datePicker {Object} settings object of the concerned datepicker. Must have an 'opened' property
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##
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toggleDatePicker = ($event, datePicker) ->
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$event.preventDefault()
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$event.stopPropagation()
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datePicker.opened = !datePicker.opened
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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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refreshChart = ->
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if $scope.selectedIndex and !$scope.preventRefresh
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query $scope.selectedIndex, (aggregations, error)->
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if error
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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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angular.forEach $scope.data, (datum, key) ->
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updateChart($scope.selectedIndex.graph.chart_type, datum, key)
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else
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$scope.data = formatRankingAggregations(aggregations, $scope.selectedIndex.graph.limit, $scope.ranking.groupCriterion)
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updateChart($scope.selectedIndex.graph.chart_type, $scope.data.ranking, $scope.selectedIndex.es_type_key)
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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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xAxisTickFormatFunction = (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' or d instanceof Date
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d3.time.format(Fablab.d3DateFormat) moment(d).toDate()
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else # typeof d == 'string'
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d
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else if $scope.display.interval == 'week'
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if typeof x == 'number' or d instanceof Date
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d3.time.format(_t('week_short')+' %U') moment(d).toDate()
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else if typeof d == 'number'
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_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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d
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else if $scope.display.interval == 'month'
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if typeof d == 'number'
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label = moment(d).format('MMMM YYYY')
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label.substr(0,1).toUpperCase()+label.substr(1).toLowerCase()
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else # typeof d == 'string'
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d
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##
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# Format aggregations as retuned by elasticSearch to an understandable format for NVD3
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# @param aggs {Object} as returned by elasticsearch
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##
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formatAggregations = (aggs) ->
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format = {}
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angular.forEach aggs, (type, type_key) -> # go through aggs[$TYPE] where $TYPE = month|year|hour|booking|...
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format[type_key] = []
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if type.subgroups
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angular.forEach type.subgroups.buckets, (subgroup) -> # go through aggs.$TYPE.subgroups.buckets where each bucket represent a $SUBTYPE
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angular.forEach $scope.selectedIndex.types, (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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for it_st in [0.. cur_type.subtypes.length-1] by 1 # when we've found it, iterate over its subtypes ...
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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 informations
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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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# 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, (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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dataSource.total += parseInt(interval.total.value)
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dataSource.key += ' (' + dataSource.total + ')'
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format[type_key].push dataSource
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format
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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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formatRankingAggregations = (aggs, limit, typeKey) ->
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format =
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ranking: []
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it = 0
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while (it < aggs.subgroups.buckets.length)
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bucket = aggs.subgroups.buckets[it]
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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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dataSource.values.push
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x: getRankingLabel(bucket.key, typeKey)
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y: bucket.total.value
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format.ranking.push(dataSource)
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it++
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getY = (object)->
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object.values[0].y
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format.ranking = stableSort(format.ranking, 'DESC', getY).slice(0, limit)
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for i in [0..format.ranking.length] by 1
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if typeof format.ranking[i] == 'undefined' then format.ranking.splice(i,1)
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format
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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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getRankingLabel = (key, typeKey) ->
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if $scope.selectedIndex
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if (typeKey == 'subType')
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for type in $scope.selectedIndex.types
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for subtype in type.subtypes
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if (subtype.key == key)
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return subtype.label
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else
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for field in $scope.selectedIndex.additional_fields
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if (field.key == typeKey)
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switch field.data_type
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when 'date' then return moment(key).format('LL')
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when 'list' then return key.name
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else return key
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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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query = (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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if !index
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callback([], '[graphsController::query] Error: invalid index provided')
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return
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if index.graph.chart_type != 'discreteBarChart'
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# list statistics types
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stat_types = []
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for t in index.types
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if t.graph
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stat_types.push(t.key)
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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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type_it = 0
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results = {}
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error = ''
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recursiveCb = ->
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if type_it < stat_types.length
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queryElasticStats index.es_type_key, stat_types[type_it], (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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results[stat_types[type_it]] = prevResults
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type_it++
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recursiveCb()
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else
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callback(results)
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recursiveCb()
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else # palmares (ranking)
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queryElasticRanking index.es_type_key, $scope.ranking.groupCriterion, $scope.ranking.sortCriterion, (results, error) ->
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if (error)
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callback([], error)
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else
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callback(results)
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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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queryElasticStats = (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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if !esType or !statType
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callback([], '[graphsController::queryElasticStats] Error: invalid parameters provided')
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# run query
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es.search
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"index": "stats"
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"type": esType
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"searchType": "count"
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"body": buildElasticAggregationsQuery(statType, $scope.display.interval, moment($scope.datePickerStart.selected), moment($scope.datePickerEnd.selected))
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, (error, response) ->
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if (error)
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callback([], "Error: something unexpected occurred during elasticSearch query: "+error)
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else
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callback(response.aggregations)
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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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queryElasticRanking = (esType, groupKey, sortKey, callback) ->
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# handle invalid callback
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if typeof(callback) != "function"
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console.error('[graphsController::queryElasticRanking] Error: invalid callback provided')
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return
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if !esType or !groupKey or !sortKey
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callback([], '[graphsController::queryElasticRanking] Error: invalid parameters provided')
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# run query
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es.search
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"index": "stats"
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"type": esType
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"searchType": "count"
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"body": buildElasticAggregationsRankingQuery(groupKey, sortKey, moment($scope.datePickerStart.selected), moment($scope.datePickerEnd.selected))
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, (error, response) ->
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if (error)
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callback([], "Error: something unexpected occurred during elasticSearch query: "+error)
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else
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callback(response.aggregations)
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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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parseElasticBucket = (bucket) ->
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[ 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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buildElasticAggregationsQuery = (type, interval, intervalBegin, intervalEnd) ->
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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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"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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"aggregations":
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"subgroups":
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"terms":
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"field": "subType" #TODO allow aggregate by custom field
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"aggregations":
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"intervals":
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"date_histogram":
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"field": "date"
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"interval": interval
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"min_doc_count": 0
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"extended_bounds":
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"min": intervalBegin.valueOf()
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"max": intervalEnd.valueOf()
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"aggregations":
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"total":
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"sum":
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"field": "stat"
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# scale weeks on sunday as nvd3 supports only these weeks
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if interval == 'week'
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q.aggregations.subgroups.aggregations.intervals.date_histogram['post_offset'] = '-1d'
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q.aggregations.subgroups.aggregations.intervals.date_histogram['pre_offset'] = '-1d'
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# scale days to UTC time
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else if interval == 'day'
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offset = moment().utcOffset()
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q.aggregations.subgroups.aggregations.intervals.date_histogram['post_offset'] = (-offset)+'m'
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q
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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 groupKey {String} statistics subtype or custom field
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# @param sortKey {String} statistics type or 'ca'
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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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buildElasticAggregationsRankingQuery = (groupKey, sortKey, intervalBegin, intervalEnd) ->
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q =
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"query":
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"bool":
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"must": [
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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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"term":
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"type": "booking"
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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"
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"aggregations":
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"total":
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"sum":
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"field": "stat"
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# we group the results by the custom given key (eg. by event date)
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q.aggregations.subgroups.terms =
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field: groupKey
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size: 0
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# results must be sorted and limited later by angular
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if sortKey != 'ca'
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angular.forEach q.query.bool.must, (must) ->
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if must.term
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must.term.type = sortKey
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else
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q.aggregations.subgroups.aggregations.total.sum.field = sortKey
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q
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##
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# Redraw the NDV3 chart using the provided data
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# @param chart_type {String} stackedAreaChart|discreteBarChart|lineChart
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# @param data {Array} array of NVD3 dataSources
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# @param type {String} which chart to update (statistic type key)
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##
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updateChart = (chart_type, data, type) ->
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id = "#chart-"+type+" svg"
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# clean old charts
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d3.selectAll(id+" > *").remove()
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nv.addGraph ->
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# no data or many dates, display line charts
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if data.length == 0 or (data[0].values.length > 1 and (chart_type != 'discreteBarChart'))
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if chart_type == 'stackedAreaChart'
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chart = nv.models.stackedAreaChart().useInteractiveGuideline(true)
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else
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chart = nv.models.lineChart().useInteractiveGuideline(true)
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if data.length > 0
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if $scope.display.interval == 'day'
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setTimeScale(chart.xAxis, chart.xScale, [d3.time.day, data[0].values.length])
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else if $scope.display.interval == 'week'
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setTimeScale(chart.xAxis, chart.xScale, [d3.time.week, data[0].values.length])
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else if $scope.display.interval == 'month'
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setTimeScale(chart.xAxis, chart.xScale, [d3.time.month, data[0].values.length])
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|
|
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chart.xAxis.tickFormat(xAxisTickFormatFunction)
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chart.yAxis.tickFormat(d3.format('d'))
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|
|
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chart.xAxis.axisLabel(X_AXIS_LABEL)
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|
chart.yAxis.axisLabel(Y_AXIS_LABEL)
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|
|
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# 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
|
|
chart
|
|
|
|
|
|
|
|
##
|
|
# Given an NVD3 line chart axis, scale it to display ordinated dates, according to the given arguments
|
|
##
|
|
setTimeScale = (nvd3Axis, nvd3Scale, argsArray) ->
|
|
scale = d3.time.scale()
|
|
|
|
nvd3Axis.scale(scale)
|
|
nvd3Scale(scale)
|
|
|
|
if (not argsArray and not argsArray.length)
|
|
oldTicks = nvd3Axis.axis.ticks
|
|
nvd3Axis.axis.ticks = ->
|
|
oldTicks.apply(nvd3Axis.axis, argsArray)
|
|
|
|
|
|
|
|
##
|
|
# Translate line chart data in dates row to bar chart data, one bar per type.
|
|
##
|
|
prepareDataForBarChart = (data, type) ->
|
|
newData = [
|
|
key: type
|
|
values: []
|
|
]
|
|
for info in data
|
|
if info
|
|
newData[0].values.push
|
|
"label": info.key
|
|
"value": info.values[0].y
|
|
"color": info.color
|
|
|
|
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}
|
|
##
|
|
stableSort = (array, order, getValue) ->
|
|
# prepare sorting
|
|
keys_order = []
|
|
result = []
|
|
for i in [0..array.length] by 1
|
|
keys_order[array[i]] = i;
|
|
result.push(array[i]);
|
|
|
|
# callback for javascript native Array.sort()
|
|
sort_fc = (a, b) ->
|
|
val_a = getValue(a)
|
|
val_b = getValue(b)
|
|
if val_a == val_b
|
|
return keys_order[a] - keys_order[b]
|
|
if val_a < val_b
|
|
if order == 'ASC' then return -1
|
|
else return 1
|
|
else
|
|
if order == 'ASC' then return 1
|
|
else return -1
|
|
|
|
# finish the sort
|
|
result.sort(sort_fc)
|
|
return result
|
|
|
|
|
|
|
|
## !!! MUST BE CALLED AT THE END of the controller
|
|
initialize()
|
|
]
|