Esempio n. 1
0
  /** Calculates the Food Made+Used data sets. */
  private void calculateFoodMadeUsedDataSets() {
    // Food Made+Used is showing 2 player stats at once: Food Made and Food Used

    // First calculate FOOD_USED data set...
    calculateDataSets(Stat.FOOD_USED);
    // ...and clone it because we'll need it in a moment
    final List<Chart<LineChartDataSet>> clonedChartList = new ArrayList<>(chartList.size());
    for (final Chart<LineChartDataSet> chart : chartList) {
      final Chart<LineChartDataSet> clonedChart = createChart();

      for (final DataModel<LineChartDataSet> model : chart.getDataModelList()) {
        final DataModel<LineChartDataSet> clonedModel =
            new DataModel<>(model.getTitle(), model.getColor());

        for (final LineChartDataSet dataSet : model.getDataSetList()) {
          // Use brighter color as this will be the 2nd dataset
          final Color color = ((User) model.getUserobObject()).getPlayerColor().brighterColor;
          clonedModel.addDataSet(
              new LineChartDataSet(
                  color, dataSet.getStroke(), dataSet.getLoops(), dataSet.getValues()));
        }

        clonedChart.addModel(clonedModel);
      }

      clonedChartList.add(clonedChart);
    }

    // Cloning done, let's roll on to calculating the FOOD_MADE data set...
    calculateDataSets(Stat.FOOD_MADE);

    // And the final step: "merge" the 2 data sets into one, simply add the datasets...
    for (int chartIdx = 0; chartIdx < chartList.size(); chartIdx++) {
      final Chart<LineChartDataSet> chart = chartList.get(chartIdx);
      final Chart<LineChartDataSet> clonedChart = clonedChartList.get(chartIdx);

      for (int modelIdx = 0; modelIdx < chart.getDataModelList().size(); modelIdx++) {
        final DataModel<LineChartDataSet> model = chart.getDataModelList().get(modelIdx);
        final DataModel<LineChartDataSet> clonedModel =
            clonedChart.getDataModelList().get(modelIdx);

        model.getDataSetList().addAll(clonedModel.getDataSetList());
      }
    }
  }
Esempio n. 2
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  /** Calculates the Spending Quotient data sets. */
  private void calculateSQDataSets() {
    // Spending Quotient is a function of 2 other Stats: SQ = f( RES_CURRENT, RES_COLL_RATE )

    // First calculate RES_CURRENT data set...
    calculateDataSets(Stat.RES_CURRENT);
    // ...and clone it because we'll need it in a moment
    final List<Chart<LineChartDataSet>> clonedChartList = new ArrayList<>(chartList.size());
    for (final Chart<LineChartDataSet> chart : chartList) {
      final Chart<LineChartDataSet> clonedChart = createChart();

      for (final DataModel<LineChartDataSet> model : chart.getDataModelList()) {
        final DataModel<LineChartDataSet> clonedModel = new DataModel<>(null, null);

        for (final LineChartDataSet dataSet : model.getDataSetList())
          clonedModel.addDataSet(
              new LineChartDataSet(null, null, dataSet.getLoops(), dataSet.getValues()));

        clonedChart.addModel(clonedModel);
      }

      clonedChartList.add(clonedChart);
    }

    // Cloning done, let's roll on to calculating the RES_COLL_RATE data set...
    calculateDataSets(Stat.RES_COLL_RATE);

    // We'll need the last command game event loops indexed by data model (last cmd loop is the same
    // for all data sets in a
    // model)
    final Map<DataModel<LineChartDataSet>, Int> modelLastCmdLoopsMap = new HashMap<>();
    for (final Event event : repProc.replay.gameEvents.events) {
      if (event.id != IGameEvents.ID_CMD) continue;

      // Player stats go by tracker events which go by player id. First check if there is player for
      // the user!
      final int playerId = repProc.usersByUserId[event.userId].playerId;
      if (playerId <= 0) continue;

      final DataModel<LineChartDataSet> model = modelByPlayerIds[playerId];
      if (model == null) continue;

      // Update last command loop per model
      Int lastCmdLoop = modelLastCmdLoopsMap.get(model);
      if (lastCmdLoop == null) modelLastCmdLoopsMap.put(model, lastCmdLoop = new Int());
      lastCmdLoop.value = event.loop;
    }

    // And the final step: "merge" the 2 data sets, the result being the SQ
    for (int chartIdx = 0; chartIdx < chartList.size(); chartIdx++) {
      final Chart<LineChartDataSet> chart = chartList.get(chartIdx);
      final Chart<LineChartDataSet> clonedChart = clonedChartList.get(chartIdx);

      for (int modelIdx = 0; modelIdx < chart.getDataModelList().size(); modelIdx++) {
        final DataModel<LineChartDataSet> model = chart.getDataModelList().get(modelIdx);
        final DataModel<LineChartDataSet> clonedModel =
            clonedChart.getDataModelList().get(modelIdx);

        final int lastCmdLoop =
            modelLastCmdLoopsMap.get(model) == null ? 0 : modelLastCmdLoopsMap.get(model).value;

        for (int dataSetIdx = 0; dataSetIdx < model.getDataSetList().size(); dataSetIdx++) {
          final LineChartDataSet dataSet = model.getDataSetList().get(dataSetIdx);
          final LineChartDataSet clonedDataSet = clonedModel.getDataSetList().get(dataSetIdx);

          // Only include values in total before the last command loop! And of course only count
          // samples up to that.

          final int[] loops = dataSet.getLoops();
          final int[] values = dataSet.getValues();
          final int[] clonedValues = clonedDataSet.getValues();

          long totalValues = 0, totalClonedValues = 0;
          int totalCount = 0;

          for (int valueIdx = 0; valueIdx < values.length; valueIdx++) {
            if (loops[valueIdx] <= lastCmdLoop) {
              totalClonedValues += clonedValues[valueIdx];
              totalValues += values[valueIdx];
              totalCount++;
            }
            values[valueIdx] =
                RepProcessor.calculateSQImpl(clonedValues[valueIdx], values[valueIdx]);
          }

          // Calculate average SQ for the data set, put in data set title!
          final int avgSQ =
              totalCount == 0
                  ? 0
                  : RepProcessor.calculateSQImpl(
                      (int) (totalClonedValues / totalCount), (int) (totalValues / totalCount));
          dataSet.setTitle("SQ: " + avgSQ);
          dataSet.calculateValueMax();
        }
      }
    }
  }