Examples with ValueType com.google.visualization.datasource.datatable.value.ValueType used on opensource projects

Example 1 with ValueType

use of com.google.visualization.datasource.datatable.value.ValueType in project uPortal by Jasig.

the class BaseStatisticsReportController method buildAggregationReport.

/** Build the aggregation {@link DataTable} */
protected final DataTable buildAggregationReport(F form) throws TypeMismatchException {
    //Pull data out of form for per-group fetching
    final AggregationInterval interval = form.getInterval();
    final DateMidnight start = form.getStart();
    final DateMidnight end = form.getEnd();
    final DateTime startDateTime = start.toDateTime();
    //Use a query end of the end date at 23:59:59
    final DateTime endDateTime = end.plusDays(1).toDateTime().minusSeconds(1);
    //Get the list of DateTimes used on the X axis in the report
    final List<DateTime> reportTimes = this.intervalHelper.getIntervalStartDateTimesBetween(interval, startDateTime, endDateTime, maxIntervals);
    final Map<D, SortedSet<T>> groupedAggregations = createColumnDiscriminatorMap(form);
    //Determine the ValueType of the date/time column. Use the most specific column type possible
    final ValueType dateTimeColumnType;
    if (interval.isHasTimePart()) {
        //If start/end are the same day just display the time
        if (startDateTime.toDateMidnight().equals(endDateTime.toDateMidnight())) {
            dateTimeColumnType = ValueType.TIMEOFDAY;
        } else //interval has time data and start/end are on different days, show full date time
        {
            dateTimeColumnType = ValueType.DATETIME;
        }
    } else //interval is date only
    {
        dateTimeColumnType = ValueType.DATE;
    }
    //Setup the date/time column description
    final ColumnDescription dateTimeColumn;
    switch(dateTimeColumnType) {
        case TIMEOFDAY:
            {
                dateTimeColumn = new ColumnDescription("time", dateTimeColumnType, "Time");
                break;
            }
        default:
            {
                dateTimeColumn = new ColumnDescription("date", dateTimeColumnType, "Date");
            }
    }
    final DataTable table = new JsonDataTable();
    table.addColumn(dateTimeColumn);
    //Setup columns in the DataTable
    final Set<D> columnGroups = groupedAggregations.keySet();
    for (final D columnMapping : columnGroups) {
        final Collection<ColumnDescription> columnDescriptions = this.getColumnDescriptions(columnMapping, form);
        table.addColumns(columnDescriptions);
    }
    //Query for all aggregation data in the time range for all groups.  Only the
    //interval and discriminator data is used from the keys.
    final Set<K> keys = createAggregationsQueryKeyset(columnGroups, form);
    final BaseAggregationDao<T, K> baseAggregationDao = this.getBaseAggregationDao();
    final Collection<T> aggregations = baseAggregationDao.getAggregations(startDateTime, endDateTime, keys, extractGroupsArray(columnGroups));
    //Organize the results by group and sort them chronologically by adding them to the sorted set
    for (final T aggregation : aggregations) {
        final D discriminator = aggregation.getAggregationDiscriminator();
        final SortedSet<T> results = groupedAggregations.get(discriminator);
        results.add(aggregation);
    }
    //Build Map from discriminator column mapping to result iterator to allow putting results into
    //the correct column AND the correct time slot in the column
    Comparator<? super D> comparator = getDiscriminatorComparator();
    final Map<D, PeekingIterator<T>> groupedAggregationIterators = new TreeMap<D, PeekingIterator<T>>((comparator));
    for (final Entry<D, SortedSet<T>> groupedAggregationEntry : groupedAggregations.entrySet()) {
        groupedAggregationIterators.put(groupedAggregationEntry.getKey(), Iterators.peekingIterator(groupedAggregationEntry.getValue().iterator()));
    }
    /*
         * populate the data, filling in blank spots. The full list of interval DateTimes is used to create every row in the
         * query range. Then the iterator
         */
    for (final DateTime rowTime : reportTimes) {
        // create the row
        final TableRow row = new TableRow();
        // add the date to the first cell
        final Value dateTimeValue;
        switch(dateTimeColumnType) {
            case DATE:
                {
                    dateTimeValue = new DateValue(rowTime.getYear(), rowTime.getMonthOfYear() - 1, rowTime.getDayOfMonth());
                    break;
                }
            case TIMEOFDAY:
                {
                    dateTimeValue = new TimeOfDayValue(rowTime.getHourOfDay(), rowTime.getMinuteOfHour(), 0);
                    break;
                }
            default:
                {
                    dateTimeValue = new DateTimeValue(rowTime.getYear(), rowTime.getMonthOfYear() - 1, rowTime.getDayOfMonth(), rowTime.getHourOfDay(), rowTime.getMinuteOfHour(), 0, 0);
                    break;
                }
        }
        row.addCell(new TableCell(dateTimeValue));
        for (final PeekingIterator<T> groupedAggregationIteratorEntry : groupedAggregationIterators.values()) {
            List<Value> values = null;
            if (groupedAggregationIteratorEntry.hasNext()) {
                final T aggr = groupedAggregationIteratorEntry.peek();
                if (rowTime.equals(aggr.getDateTime())) {
                    //Data is for the correct time slot, advance the iterator
                    groupedAggregationIteratorEntry.next();
                    values = createRowValues(aggr, form);
                }
            }
            //Gap in the data, fill it in using a null aggregation
            if (values == null) {
                values = createRowValues(null, form);
            }
            //Add the values to the row
            for (final Value value : values) {
                row.addCell(value);
            }
        }
        table.addRow(row);
    }
    return table;
}