private CcgPopulation NewPopulation(string areaCode)
{
var populations = pholioReader.GetCcgPracticePopulations(areaCode);
var population = new CcgPopulation
{
AreaCode = areaCode,
PracticeCodeToPopulation = populations,
TotalPopulation = populations.Values.Sum()
};
return population;
}
/// <summary>
/// Whether or not there is enough data available to cover
/// </summary>
public static bool Validates(IEnumerable<CoreDataSet> data, CcgPopulation ccgPopulation)
{
// Practices that have values
var areaCodesWithValues = data.Select(x => x.AreaCode);
// Population represented by indicator values
double populationRepresentingAvailableData = ccgPopulation.PracticeCodeToPopulation
.Where(x => areaCodesWithValues.Contains(x.Key))
.Sum(x => x.Value);
// Does the data available cover enough of the population
return populationRepresentingAvailableData >= ccgPopulation.TotalPopulation * 0.9;
}
public CcgAverageCalculator(IList<CoreDataSet> dataList, CcgPopulation ccgPopulation, IndicatorMetadata indicatorMetadata)
{
Unit unit = indicatorMetadata.Unit;
if (indicatorMetadata.ValueTypeId == ValueTypeId.Ratio)
{
return;
}
if (dataList.Any(x => x.IsCountValid && x.IsDenominatorValid))
{
var validData = new CoreDataSetFilter(dataList).SelectWhereCountAndDenominatorAreValid().ToList();
if (RuleAreEnoughPracticeValuesByPopulation.Validates(validData, ccgPopulation))
{
Average = WeightedAverageCalculator.CalculateAverage(validData, unit);
Average.AreaCode = ccgPopulation.AreaCode;
}
}
else if (dataList.Any(x => x.IsValueValid))
{
var practiceCodeToPopulationMap = ccgPopulation.PracticeCodeToPopulation;
// Keep only data where population is available
var dataWithPopulation = dataList.Where(x => practiceCodeToPopulationMap.ContainsKey(x.AreaCode)).ToList();
if (RuleAreEnoughPracticeValuesByPopulation.Validates(dataWithPopulation, ccgPopulation))
{
Average = CoreDataSet.GetNullObject(ccgPopulation.AreaCode);
// Population weighted average
Average.Value = dataWithPopulation.Sum(data => (data.Value * practiceCodeToPopulationMap[data.AreaCode])) /
ccgPopulation.TotalPopulation;
}
}
}
private CcgPopulationProvider ValidPopulationProvider()
{
var ccgPopulation = new CcgPopulation
{
AreaCode = areaCode,
TotalPopulation = 100,
PracticeCodeToPopulation = new Dictionary<string, double> {
{"a", 50},
{"b", 50}
}
};
var populationProvider = new Mock<CcgPopulationProvider>(MockBehavior.Strict);
populationProvider.Protected();
populationProvider.Setup(x => x
.GetPopulation(areaCode))
.Returns(ccgPopulation);
return populationProvider.Object;
}
public static bool Validates(Grouping grouping, IEnumerable<CoreDataSet> data, CcgPopulation ccgPopulation)
{
return RuleAreEnoughPracticeValuesByPopulation.Validates(data, ccgPopulation) &&
RuleShouldCcgAverageBeCalculatedForGroup.Validates(grouping);
}
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;
}