private Dictionary <string, MLPredictionState> GetPredictionStateList(List <MLPredictionState> list)
{
var statesToProcess = new List <MLPredictionState>(list);
var result = new Dictionary <string, MLPredictionState>();
foreach (var kv in _dbToResultMapping)
{
string dbSignificance = kv.Key;
MLSignificance responseSignificance = kv.Value;
result.AddRange(GetPredictionState(statesToProcess, dbSignificance, responseSignificance));
statesToProcess.RemoveAll(state => result.Values.Any(
resultState => resultState.ModelId == state.ModelId));
}
var stateComparer = new MLPredictionStateComparer();
result.AddRange(statesToProcess.Distinct(stateComparer).Select(state => new MLPredictionState {
ModelId = state.ModelId,
State = MLSignificance.InProgress
}).ToDictionary(l => l.ModelId.ToString()));
return(result);
}
private Dictionary <string, MLPredictionState> GetPredictionState(IEnumerable <MLPredictionState> list,
string dbSignificance, MLSignificance responseSignificance)
{
var result = from item in list
join signigicantItem in list on new { ModelId = item.ModelId, Significance = dbSignificance }
equals new { ModelId = signigicantItem.ModelId, Significance = signigicantItem.Significance }
into significantList
from significantItem in significantList.DefaultIfEmpty(new MLPredictionState()
{
Value = Guid.Empty
})
group new { item, significantItem } by item.ModelId into groupedList
select new MLPredictionState {
ModelId = groupedList.Key,
Value = responseSignificance == MLSignificance.Exact
? groupedList.Max(groupedItem => groupedItem.significantItem.Value)
: Guid.Empty,
State = groupedList.Count(groupedItem => groupedItem.significantItem.Value != Guid.Empty) == 0
? MLSignificance.Unknown
: responseSignificance
};
return(result.Where(r => r.State != MLSignificance.Unknown).ToDictionary(r => r.ModelId.ToString()));
}
