public void TestBaselineCannotBeOvershotIdenticalBaselineAndDatapoint()
{
DataPointOffsetCalculator calc = new DataPointOffsetCalculator(
new Grouping
{
DataPointYear = 2010,
BaselineYear = 2010,
YearRange = 1
}, 1, calendarYearType);
Assert.AreEqual(DataPointOffsetCalculator.InvalidYear, calc.TimePeriod.Year);
}
public void TestDataPointCannotBeExceeded()
{
DataPointOffsetCalculator calc = new DataPointOffsetCalculator(
new Grouping
{
DataPointYear = 2010,
BaselineYear = 2009,
YearRange = 1
}, -100, calendarYearType);
Assert.AreEqual(2010, calc.TimePeriod.Year);
Assert.AreEqual(1, calc.TimePeriod.YearRange);
}
public void TestMonthOffset()
{
DataPointOffsetCalculator calc = new DataPointOffsetCalculator(
new Grouping
{
DataPointYear = 2010,
DataPointMonth = 3,
BaselineYear = 2009,
BaselineMonth = 1
}, 1, calendarYearType);
Assert.AreEqual(2010, calc.TimePeriod.Year);
Assert.AreEqual(2, calc.TimePeriod.Month);
}
public QofListSizeProvider(IGroupDataReader groupDataReader, Area area, int groupId, int dataPointOffset,
YearType yearType)
{
Grouping grouping = groupDataReader.GetGroupingsByGroupIdAndIndicatorId(groupId, IndicatorId);
var period = new DataPointOffsetCalculator(grouping, dataPointOffset, yearType).TimePeriod;
if (area.IsCcg)
{
//Note: zeroes may occur and should be included
Value = groupDataReader
.GetCoreDataListForChildrenOfArea(grouping, period, area.Code)
.Where(x => x.IsValueValid)
.Average(x => x.Value);
}
else
{
SetSingleAreaValue(groupDataReader, area, grouping, period);
}
}
public PracticeValueCollection Build(PracticeAxis axis1, PracticeAxis axis2)
{
bool isAreacode = !string.IsNullOrEmpty(AreaCode);
// Indicator 1
IndicatorMetadata indicatorMetadata1 = indicatorMetadataRepository.GetIndicatorMetadata(IndicatorId1);
Grouping grouping1 = reader.GetGroupings(GroupId1, IndicatorId1, AreaTypeIds.GpPractice, SexId1, AgeId1).FirstOrDefault();
TimePeriod period1 = new DataPointOffsetCalculator(grouping1, DataPointOffset, indicatorMetadata1.YearType).TimePeriod;
if (axis1 == null)
{
axis1 = GetPracticeAxis(IndicatorId1, period1, SexId1, indicatorMetadata1);
if (axis1 == null)
{
return collection;
}
}
collection.PracticeAxis1 = axis1;
if (isAreacode)
{
CoreDataSet practiceData = reader.GetCoreData(grouping1, period1, AreaCode).FirstOrDefault();
if (practiceData != null && practiceData.IsValueValid)
{
collection.PracticeValue1 = practiceData.Value;
}
}
// Indicator 2
IndicatorMetadata indicatorMetadata2 = indicatorMetadataRepository.GetIndicatorMetadata(IndicatorId2);
Grouping grouping2 = reader.GetGroupings(GroupId2, IndicatorId2, AreaTypeIds.GpPractice, SexId2, AgeId2).FirstOrDefault();
TimePeriod period2 = new DataPointOffsetCalculator(grouping2, DataPointOffset, indicatorMetadata2.YearType).TimePeriod;
if (axis2 == null)
{
axis2 = GetPracticeAxis(IndicatorId2, period2, SexId2, indicatorMetadata2);
if (axis2 == null)
{
return collection;
}
}
collection.PracticeAxis2 = axis2;
if (isAreacode)
{
CoreDataSet practiceData = reader.GetCoreData(grouping2, period2, AreaCode).FirstOrDefault();
if (practiceData != null && practiceData.IsValueValid)
{
collection.PracticeValue2 = practiceData.Value;
}
}
AssignChildAreas(grouping1);
return collection;
}
public Dictionary<int, IndicatorStatsResponse> GetIndicatorStats()
{
profileIds = _parameters.RestrictResultsToProfileIdList;
parentArea = AreaFactory.NewArea(areasReader, _parameters.ParentAreaCode);
var roots = GetRoots();
var responseObjects = new Dictionary<int, IndicatorStatsResponse>();
SetAreaCodesToIgnore();
if (parentArea.IsCcg)
{
ccgPopulation = new CcgPopulationProvider(pholioReader).GetPopulation(parentArea.Code);
}
childAreaCount = new ChildAreaCounter(areasReader)
.GetChildAreasCount(parentArea, _parameters.ChildAreaTypeId);
int rootIndex = 0;
foreach (var root in roots)
{
Grouping grouping = root.Grouping[0];
IndicatorMetadata metadata = indicatorMetadataRepository.GetIndicatorMetadata(grouping);
TimePeriod timePeriod = new DataPointOffsetCalculator(grouping, _parameters.DataPointOffset, metadata.YearType).TimePeriod;
IEnumerable<double> values = GetValuesForStats(grouping, timePeriod);
IndicatorStatsResponse statsAndStatF;
if (values != null)
{
IndicatorStatsPercentiles statsPercentiles = new IndicatorStatsCalculator(values).GetStats();
var formatter = NumericFormatterFactory.New(metadata, groupDataReader);
indicatorStatsProcessor.Truncate(statsPercentiles);
statsAndStatF = new IndicatorStatsResponse
{
IID = metadata.IndicatorId,
Stats = statsPercentiles,
StatsF = formatter.FormatStats(statsPercentiles),
HaveRequiredValues = doEnoughAreasHaveValues
};
}
else
{
// No stats calculated
statsAndStatF = new IndicatorStatsResponse
{
IID = metadata.IndicatorId,
HaveRequiredValues = doEnoughAreasHaveValues
};
}
responseObjects[rootIndex] = statsAndStatF;
rootIndex++;
}
return responseObjects;
}