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 setting an initial viewport for ordinal axis.
///
/// This allows for specifying the specific range of data to show that differs
/// from what was provided in the series list.
///
/// In this example, the series list has ordinal data from year 2014 to 2030,
/// but we want to show starting at 2018 and we only want to show 4 values.
/// We can do this by specifying an [OrdinalViewport] in [OrdinalAxisSpec].

// EXCLUDE_FROM_GALLERY_DOCS_START
import 'dart:math';
// EXCLUDE_FROM_GALLERY_DOCS_END
import 'package:charts_flutter/flutter.dart' as charts;
import 'package:flutter/material.dart';

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

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

  /// Creates a [BarChart] with sample data and no transition.
  factory OrdinalInitialViewport.withSampleData() {
    return new OrdinalInitialViewport(
      _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 OrdinalInitialViewport.withRandomData() {
    return new OrdinalInitialViewport(_createRandomData());
  }

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

    final data = [
      new OrdinalSales('2014', random.nextInt(100)),
      new OrdinalSales('2015', random.nextInt(100)),
      new OrdinalSales('2016', random.nextInt(100)),
      new OrdinalSales('2017', random.nextInt(100)),
      new OrdinalSales('2018', random.nextInt(100)),
      new OrdinalSales('2019', random.nextInt(100)),
      new OrdinalSales('2020', random.nextInt(100)),
      new OrdinalSales('2021', random.nextInt(100)),
      new OrdinalSales('2022', random.nextInt(100)),
      new OrdinalSales('2023', random.nextInt(100)),
      new OrdinalSales('2024', random.nextInt(100)),
      new OrdinalSales('2025', random.nextInt(100)),
      new OrdinalSales('2026', random.nextInt(100)),
      new OrdinalSales('2027', random.nextInt(100)),
      new OrdinalSales('2028', random.nextInt(100)),
      new OrdinalSales('2029', random.nextInt(100)),
      new OrdinalSales('2030', random.nextInt(100)),
    ];

    return [
      new charts.Series<OrdinalSales, String>(
        id: 'Sales',
        colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: data,
      )
    ];
  }
  // EXCLUDE_FROM_GALLERY_DOCS_END

  @override
  Widget build(BuildContext context) {
    return new charts.BarChart(
      seriesList,
      animate: animate,
      // Set the initial viewport by providing a new AxisSpec with the
      // desired viewport: a starting domain and the data size.
      domainAxis: new charts.OrdinalAxisSpec(
          viewport: new charts.OrdinalViewport('2018', 4)),
      // Optionally add a pan or pan and zoom behavior.
      // If pan/zoom is not added, the viewport specified remains the viewport.
      behaviors: [new charts.PanAndZoomBehavior()],
    );
  }

  /// Create one series with sample hard coded data.
  static List<charts.Series<OrdinalSales, String>> _createSampleData() {
    final data = [
      new OrdinalSales('2014', 5),
      new OrdinalSales('2015', 25),
      new OrdinalSales('2016', 100),
      new OrdinalSales('2017', 75),
      new OrdinalSales('2018', 33),
      new OrdinalSales('2019', 80),
      new OrdinalSales('2020', 21),
      new OrdinalSales('2021', 77),
      new OrdinalSales('2022', 8),
      new OrdinalSales('2023', 12),
      new OrdinalSales('2024', 42),
      new OrdinalSales('2025', 70),
      new OrdinalSales('2026', 77),
      new OrdinalSales('2027', 55),
      new OrdinalSales('2028', 19),
      new OrdinalSales('2029', 66),
      new OrdinalSales('2030', 27),
    ];

    return [
      new charts.Series<OrdinalSales, String>(
        id: 'Sales',
        colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
        domainFn: (OrdinalSales sales, _) => sales.year,
        measureFn: (OrdinalSales sales, _) => sales.sales,
        data: data,
      )
    ];
  }
}

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

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