reports: add non-timeseries charts.
Add bar charts for non-timeseries data. For example, a bar chart of the top 10 uploaders overall in the last month, rather than a timeseries chart of the number of uploads per day for the last month.
This commit is contained in:
@@ -3,11 +3,123 @@
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class TimeSeriesComponent < ApplicationComponent
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delegate :current_page_path, :search_params, to: :helpers
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attr_reader :dataframe, :group, :mode
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attr_reader :dataframe, :x_axis, :y_axis, :mode
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def initialize(dataframe, group: nil, mode: :table)
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def initialize(dataframe, x_axis:, mode: :table)
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@dataframe = dataframe
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@group = group
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@x_axis = x_axis
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@y_axis = columns.without(x_axis)
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@mode = mode.to_sym
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end
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def columns
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dataframe.types.keys
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end
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def chart_height
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if x_axis != "date"
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dataframe[x_axis].size * 30
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end
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end
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def chart_options
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if x_axis == "date"
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stacked_area_chart
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else
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horizontal_bar_chart
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end
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end
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def base_options
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{
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dataset: {
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dimensions: columns,
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source: dataframe.each_row.map(&:values),
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},
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tooltip: {
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trigger: "axis",
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axisPointer: {
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type: "cross",
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label: {
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backgroundColor: "#6a7985"
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}
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}
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},
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toolbox: {
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feature: {
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dataView: {},
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restore: {},
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saveAsImage: {}
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}
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},
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grid: {
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left: "1%",
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right: "1%",
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containLabel: true
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},
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legend: {
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data: y_axis.map(&:capitalize),
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type: "scroll",
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left: 0,
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padding: [8, 200, 0, 15],
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orient: "horizontal",
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},
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}
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end
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def stacked_area_chart
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base_options.deep_merge(
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toolbox: {
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feature: {
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dataZoom: {
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yAxisIndex: "none"
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},
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magicType: {
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type: ["line", "bar"],
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},
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}
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},
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dataZoom: [
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{ type: "inside" },
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{ type: "slider" }
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],
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xAxis: { type: "time" },
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yAxis: [type: "value"] * y_axis.size,
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series: y_axis.map do |name|
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{
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name: name.capitalize,
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type: "line",
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areaStyle: {},
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stack: "all",
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emphasis: {
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focus: "series"
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},
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encode: {
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x: x_axis,
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y: name
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}
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}
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end
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)
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end
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def horizontal_bar_chart
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base_options.deep_merge(
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xAxis: { type: "value" },
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yAxis: [type: "category", inverse: true] * y_axis.size,
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series: y_axis.map do |name|
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{
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name: name.capitalize,
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type: "bar",
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emphasis: {
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focus: "series"
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},
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encode: {
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x: name,
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y: x_axis,
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}
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}
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end
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)
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end
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end
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@@ -6,7 +6,16 @@
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<% end %>
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</div>
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<% if mode == :table %>
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<% if mode == :chart && x_axis.present? %>
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<div class="line-chart" style="width: 100%; height: max(90vh, <%= chart_height.to_i %>px);"></div>
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<script type="text/javascript">
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var chart = new Danbooru.TimeSeriesComponent({
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container: $(".line-chart").get(0),
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options: <%= raw chart_options.to_json %>,
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});
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</script>
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<% else %>
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<table class="striped autofit" width="100%">
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<thead>
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<% dataframe.types.keys.each do |column| %>
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@@ -26,16 +35,4 @@
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<% end %>
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</tbody>
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</table>
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<% elsif mode == :chart %>
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<div class="line-chart" style="width: 100%; height: 80vh;"></div>
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<script type="text/javascript">
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var data = <%= raw dataframe.each_row.map(&:values).to_json %>;
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var columns = <%= raw dataframe.types.keys.without("date").to_json %>;
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var chart = new Danbooru.TimeSeriesComponent({
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container: $(".line-chart").get(0),
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data: data,
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columns: columns,
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});
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</script>
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<% end %>
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@@ -11,12 +11,12 @@ class ReportsController < ApplicationController
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def show
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@report = params[:id]
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@mode = params.dig(:search, :mode) || "chart"
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@period = params.dig(:search, :period)&.downcase || "day"
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@period = params.dig(:search, :period)&.downcase
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@from = params.dig(:search, :from) || 1.month.ago
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@to = params.dig(:search, :to) || Time.zone.now
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@columns = params.dig(:search, :columns).to_s.split(/[[:space:],]/).map(&:to_sym)
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@group = params.dig(:search, :group)&.downcase&.tr(" ", "_")
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@group_limit = params.dig(:search, :group_limit) || 10
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@group_limit = params.dig(:search, :group_limit)&.to_i || 10
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case @report
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when "posts"
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@@ -138,10 +138,18 @@ class ReportsController < ApplicationController
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@group = nil unless @group&.in?(@available_groups)
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@columns = @available_columns.slice(*@columns)
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@columns = [@available_columns.first].to_h if @columns.blank?
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@dataframe = @model.search(params[:search], CurrentUser.user).timeseries(period: @period, from: @from, to: @to, groups: [@group].compact_blank, group_limit: @group_limit, columns: @columns)
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@dataframe["date"] = @dataframe["date"].map(&:to_date)
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if @period.present?
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@dataframe = @model.search(params[:search], CurrentUser.user).timeseries(period: @period, from: @from, to: @to, groups: [@group].compact_blank, group_limit: @group_limit, columns: @columns)
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@x_axis = "date"
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else
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@dataframe = @model.search(params[:search], CurrentUser.user).aggregate(from: @from, to: @to, groups: [@group].compact_blank, limit: @group_limit, columns: @columns)
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@x_axis = @group
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end
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@dataframe[@group] = @dataframe[@group].map(&:pretty_name) if @group.in?(%w[creator updater uploader banner approver user])
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@dataframe = @dataframe.crosstab("date", @group) if @group
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@dataframe["date"] = @dataframe["date"].map(&:to_date) if @dataframe["date"]
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@dataframe = @dataframe.crosstab("date", @group) if @group && @period.present?
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end
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respond_with(@dataframe)
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@@ -1,70 +1,12 @@
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import * as echarts from "echarts";
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import startCase from "lodash/startCase";
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import CurrentUser from "./current_user.js";
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export default class TimeSeriesComponent {
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constructor({ container = null, data = [], columns = [], theme = null } = {}) {
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constructor({ container = null, options = {} } = {}) {
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this.container = container;
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this.data = data;
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this.columns = columns;
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this.options = options;
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this.theme = CurrentUser.darkMode() ? "dark" : null;
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this.options = {
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dataset: {
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dimensions: ["date", ...this.columns],
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source: data,
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},
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tooltip: {
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trigger: "axis",
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axisPointer: {
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type: "cross",
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label: {
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backgroundColor: '#6a7985'
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}
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}
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},
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toolbox: {
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feature: {
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dataView: {},
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dataZoom: {
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yAxisIndex: "none"
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},
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magicType: {
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type: ["line", "bar"],
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},
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restore: {},
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saveAsImage: {}
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}
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},
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dataZoom: [
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{ type: "inside" },
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{ type: "slider" }
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],
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grid: {
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left: "1%",
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right: "1%",
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containLabel: true
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},
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legend: {
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data: this.columns.map(startCase),
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},
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xAxis: { type: "time" },
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yAxis: this.columns.map(name => ({ type: "value" })),
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series: this.columns.map(name => ({
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name: startCase(name),
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type: "line",
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areaStyle: {},
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stack: "all",
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emphasis: {
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focus: "series"
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},
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encode: {
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x: "date",
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y: name
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}
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}))
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};
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this.chart = echarts.init(container, this.theme);
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this.chart.setOption(this.options);
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@@ -10,7 +10,6 @@ module Aggregatable
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from = from.to_date
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to = to.to_date
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group_associations = groups.map { |name| reflections[name.to_s] }.compact_blank
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group_fields = groups.map { |name| reflections[name.to_s]&.foreign_key || name }
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# SELECT date_trunc('day', posts.created_at) AS date FROM posts WHERE created_at BETWEEN from AND to GROUP BY date
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@@ -75,12 +74,23 @@ module Aggregatable
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# ) subquery ON subquery.date = dates.date AND subquery.uploader_id = uploader_ids.uploader_id
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# ORDER BY date DESC
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results = query.select_all
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types = results.columns.map { |column| [column, :object] }.to_h
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build_dataframe(query, groups)
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end
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dataframe = Danbooru::DataFrame.new(results.to_a, types: types)
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dataframe = dataframe.preload_associations(group_associations)
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dataframe
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def aggregate(date_column: :created_at, from: first[date_column], to: Time.now.utc, groups: [], limit: 50, columns: { count: "COUNT(*)" }, order: Arel.sql("#{columns.first.second} DESC"))
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group_fields = groups.map { |name| reflections[name.to_s]&.foreign_key || name }
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query = where(date_column => (from..to)).reorder(order).limit(limit)
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group_fields.each do |name|
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query = query.select(name).group(name).where.not(name => nil)
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end
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columns.each do |name, sql|
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query = query.select(Arel.sql(sql).as(name.to_s).to_sql)
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end
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build_dataframe(query, groups)
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end
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def group_by_period(period = "day", column = :created_at)
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@@ -106,4 +116,16 @@ module Aggregatable
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def generate_timeseries(from, to, interval)
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generate_series(from, to, Arel.sql("#{connection.quote("1 #{interval}")}::interval"))
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end
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private
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def build_dataframe(query, groups)
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results = query.select_all
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types = results.columns.map { |column| [column, :object] }.to_h
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associations = groups.map { |name| reflections[name.to_s] }.compact_blank
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dataframe = Danbooru::DataFrame.new(results.to_a, types: types)
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dataframe = dataframe.preload_associations(associations)
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dataframe
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end
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end
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@@ -5,27 +5,27 @@
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<h1>Reports</h1>
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<ul class="list-bulleted">
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<li><%= link_to "Posts", report_path("posts") %></li>
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<li><%= link_to "Post approvals", report_path("post_approvals") %></li>
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<li><%= link_to "Post appeals", report_path("post_appeals") %></li>
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<li><%= link_to "Post flags", report_path("post_flags") %></li>
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<li><%= link_to "Post replacements", report_path("post_replacements") %></li>
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<li><%= link_to "Post votes", report_path("post_votes") %></li>
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<li><%= link_to "Media assets", report_path("media_assets") %></li>
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<li><%= link_to "Pools", report_path("pools") %></li>
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<li><%= link_to "Comments", report_path("comments") %></li>
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<li><%= link_to "Comment votes", report_path("comment_votes") %></li>
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<li><%= link_to "Forum posts", report_path("forum_posts") %></li>
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<li><%= link_to "Bulk update requests", report_path("bulk_update_requests") %></li>
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<li><%= link_to "Tag aliases", report_path("tag_aliases") %></li>
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<li><%= link_to "Tag implications", report_path("tag_implications") %></li>
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<li><%= link_to "Artist edits", report_path("artist_versions") %></li>
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<li><%= link_to "Artist commentary edits", report_path("artist_commentary_versions") %></li>
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<li><%= link_to "Note edits", report_path("note_versions") %></li>
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<li><%= link_to "Wiki edits", report_path("wiki_page_versions") %></li>
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<li><%= link_to "Mod actions", report_path("mod_actions") %></li>
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<li><%= link_to "Bans", report_path("bans") %></li>
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<li><%= link_to "Users", report_path("users") %></li>
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<li><%= link_to "Posts", report_path("posts", search: { period: "day" }) %></li>
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<li><%= link_to "Post approvals", report_path("post_approvals", search: { period: "day" }) %></li>
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<li><%= link_to "Post appeals", report_path("post_appeals", search: { period: "day" }) %></li>
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<li><%= link_to "Post flags", report_path("post_flags", search: { period: "day" }) %></li>
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<li><%= link_to "Post replacements", report_path("post_replacements", search: { period: "day" }) %></li>
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<li><%= link_to "Post votes", report_path("post_votes", search: { period: "day" }) %></li>
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<li><%= link_to "Media assets", report_path("media_assets", search: { period: "day" }) %></li>
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<li><%= link_to "Pools", report_path("pools", search: { period: "day" }) %></li>
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<li><%= link_to "Comments", report_path("comments", search: { period: "day" }) %></li>
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<li><%= link_to "Comment votes", report_path("comment_votes", search: { period: "day" }) %></li>
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<li><%= link_to "Forum posts", report_path("forum_posts", search: { period: "day" }) %></li>
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<li><%= link_to "Bulk update requests", report_path("bulk_update_requests", search: { period: "day" }) %></li>
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<li><%= link_to "Tag aliases", report_path("tag_aliases", search: { period: "day" }) %></li>
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<li><%= link_to "Tag implications", report_path("tag_implications", search: { period: "day" }) %></li>
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<li><%= link_to "Artist edits", report_path("artist_versions", search: { period: "day" }) %></li>
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<li><%= link_to "Artist commentary edits", report_path("artist_commentary_versions", search: { period: "day" }) %></li>
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<li><%= link_to "Note edits", report_path("note_versions", search: { period: "day" }) %></li>
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<li><%= link_to "Wiki edits", report_path("wiki_page_versions", search: { period: "day" }) %></li>
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<li><%= link_to "Mod actions", report_path("mod_actions", search: { period: "day" }) %></li>
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<li><%= link_to "Bans", report_path("bans", search: { period: "day" }) %></li>
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<li><%= link_to "Users", report_path("users", search: { period: "day" }) %></li>
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</ul>
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</div>
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</div>
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@@ -12,12 +12,13 @@
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<%= f.input :from, as: :date, html5: true, input_html: { value: params[:search][:from] || 1.month.ago.to_date } %>
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<%= f.input :to, as: :date, html5: true, input_html: { value: params[:search][:to] || Time.zone.now.to_date } %>
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<%= f.input :period, collection: %w[Day Week Month Year], selected: params[:search][:period] %>
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<%= f.input :period, collection: %w[day week month year].map { [_1.capitalize, _1] }, include_blank: true, selected: @period %>
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<%= f.input :group, label: "Group By", collection: @available_groups.map { |group| [group.titleize, group] }, include_blank: true, selected: params[:search][:group] if @available_groups.present? %>
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<%= f.input :group_limit, label: "Top", collection: [10, 25, 50, 100], selected: @group_limit if @group %>
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<%= f.input :mode, as: :hidden, input_html: { value: params[:search][:mode] } %>
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<%= f.submit "Search" %>
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<% end %>
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<%= render TimeSeriesComponent.new(@dataframe, mode: @mode) %>
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<%= render TimeSeriesComponent.new(@dataframe, x_axis: @x_axis, mode: @mode) %>
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</div>
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</div>
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