mirrored_repositories/FlutterPortableDashboard/lib/charts
// Copyright 2018 the Charts project authors. Please see the AUTHORS file
// for details.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

/// Example of a percentage bar chart with grouped, stacked series oriented
/// vertically.
///
/// Each bar stack shows the percentage of each measure out of the total measure
/// value of the stack.
// EXCLUDE_FROM_GALLERY_DOCS_START
import 'dart:math';
// EXCLUDE_FROM_GALLERY_DOCS_END
import 'package:flutter/material.dart';
import 'package:charts_flutter/flutter.dart' as charts;

class PercentOfDomainByCategoryBarChart extends StatelessWidget {
  final List<charts.Series> seriesList;
  final bool animate;

  PercentOfDomainByCategoryBarChart(this.seriesList, {this.animate});

  factory PercentOfDomainByCategoryBarChart.withSampleData() {
    return new PercentOfDomainByCategoryBarChart(
      createSampleData(),
      // Disable animations for image tests.
      animate: false,
    );
  }

  // EXCLUDE_FROM_GALLERY_DOCS_START
  // This section is excluded from being copied to the gallery.
  // It is used for creating random series data to demonstrate animation in
  // the example app only.
  factory PercentOfDomainByCategoryBarChart.withRandomData() {
    return new PercentOfDomainByCategoryBarChart(_createRandomData());
  }

  /// Create random data.
  static List<charts.Series<OrdinalSales, String>> _createRandomData() {
    final random = new Random();

    final desktopSalesDataA = [
      new OrdinalSales('2014', random.nextInt(100)),
      new OrdinalSales('2015', random.nextInt(100)),
      new OrdinalSales('2016', random.nextInt(100)),
      new OrdinalSales('2017', random.nextInt(100)),
    ];

    final tableSalesDataA = [
      new OrdinalSales('2014', random.nextInt(100)),
      new OrdinalSales('2015', random.nextInt(100)),
      new OrdinalSales('2016', random.nextInt(100)),
      new OrdinalSales('2017', random.nextInt(100)),
    ];

    final mobileSalesDataA = [
      new OrdinalSales('2014', random.nextInt(100)),
      new OrdinalSales('2015', random.nextInt(100)),
      new OrdinalSales('2016', random.nextInt(100)),
      new OrdinalSales('2017', random.nextInt(100)),
    ];

    final desktopSalesDataB = [
      new OrdinalSales('2014', random.nextInt(100)),
      new OrdinalSales('2015', random.nextInt(100)),
      new OrdinalSales('2016', random.nextInt(100)),
      new OrdinalSales('2017', random.nextInt(100)),
    ];

    final tableSalesDataB = [
      new OrdinalSales('2014', random.nextInt(100)),
      new OrdinalSales('2015', random.nextInt(100)),
      new OrdinalSales('2016', random.nextInt(100)),
      new OrdinalSales('2017', random.nextInt(100)),
    ];

    final mobileSalesDataB = [
      new OrdinalSales('2014', random.nextInt(100)),
      new OrdinalSales('2015', random.nextInt(100)),
      new OrdinalSales('2016', random.nextInt(100)),
      new OrdinalSales('2017', random.nextInt(100)),
    ];

    return [
      new charts.Series<OrdinalSales, String>(
        id: 'Desktop A',
        seriesCategory: 'A',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: desktopSalesDataA,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Tablet A',
        seriesCategory: 'A',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: tableSalesDataA,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Mobile A',
        seriesCategory: 'A',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: mobileSalesDataA,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Desktop B',
        seriesCategory: 'B',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: desktopSalesDataB,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Tablet B',
        seriesCategory: 'B',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: tableSalesDataB,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Mobile B',
        seriesCategory: 'B',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: mobileSalesDataB,
      ),
    ];
  }
  // EXCLUDE_FROM_GALLERY_DOCS_END

  @override
  Widget build(BuildContext context) {
    return new charts.BarChart(
      seriesList,
      animate: animate,
      barGroupingType: charts.BarGroupingType.groupedStacked,
      // Configures a [PercentInjector] behavior that will calculate measure
      // values as the percentage of the total of all data that shares both a
      // domain and a series category.
      //
      // We use this option on a grouped stacked bar chart to ensure that the
      // total value for each bar stack is 100%. A stacked bar chart that does
      // not group by series category would use the "domain" option.
      behaviors: [
        new charts.PercentInjector(
            totalType: charts.PercentInjectorTotalType.domainBySeriesCategory)
      ],
      // Configure the axis spec to show percentage values.
      primaryMeasureAxis: new charts.PercentAxisSpec(),
    );
  }

  /// Create series list with multiple series
  static List<charts.Series<OrdinalSales, String>> createSampleData() {
    final desktopSalesDataA = [
      new OrdinalSales('2014', 5),
      new OrdinalSales('2015', 25),
      new OrdinalSales('2016', 100),
      new OrdinalSales('2017', 75),
    ];

    final tableSalesDataA = [
      new OrdinalSales('2014', 25),
      new OrdinalSales('2015', 50),
      new OrdinalSales('2016', 10),
      new OrdinalSales('2017', 20),
    ];

    final mobileSalesDataA = [
      new OrdinalSales('2014', 10),
      new OrdinalSales('2015', 15),
      new OrdinalSales('2016', 50),
      new OrdinalSales('2017', 45),
    ];

    final desktopSalesDataB = [
      new OrdinalSales('2014', 5),
      new OrdinalSales('2015', 25),
      new OrdinalSales('2016', 100),
      new OrdinalSales('2017', 75),
    ];

    final tableSalesDataB = [
      new OrdinalSales('2014', 25),
      new OrdinalSales('2015', 50),
      new OrdinalSales('2016', 10),
      new OrdinalSales('2017', 20),
    ];

    final mobileSalesDataB = [
      new OrdinalSales('2014', 10),
      new OrdinalSales('2015', 15),
      new OrdinalSales('2016', 50),
      new OrdinalSales('2017', 45),
    ];

    return [
      new charts.Series<OrdinalSales, String>(
        id: 'Desktop A',
        seriesCategory: 'A',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: desktopSalesDataA,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Tablet A',
        seriesCategory: 'A',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: tableSalesDataA,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Mobile A',
        seriesCategory: 'A',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: mobileSalesDataA,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Desktop B',
        seriesCategory: 'B',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: desktopSalesDataB,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Tablet B',
        seriesCategory: 'B',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: tableSalesDataB,
      ),
      new charts.Series<OrdinalSales, String>(
        id: 'Mobile B',
        seriesCategory: 'B',
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: mobileSalesDataB,
      ),
    ];
  }
}

/// Sample ordinal data type.
class OrdinalSales {
  final String year;
  final int sales;

  OrdinalSales(this.year, this.sales);
}
