public void Should_Evaluate_Predictions_Result_Correctly()
{
var matchesJson = File.ReadAllText("Fixtures/Json/matches.json");
var matches = JsonConvert.DeserializeObject <IEnumerable <Match> >(matchesJson, _settings).ToList();
var predictions = matches.SelectMany(m => m.Predictions).ToList();
var experts = predictions.GroupBy(p => p.Expert).Select(g => g.Key).ToList();
predictions.Count.ShouldBe(4);
experts.Count.ShouldBe(2);
var expert1 = experts[0];
var expert2 = experts[1];
var expertResults = new ExpertsResultAccumulator(matches);
var expertResultsTable = expertResults.ExpertsTable;
expertResultsTable.Count.ShouldBe(2);
expert1.Nickname.ShouldBe("Mike");
expertResultsTable[expert1].Scores.ShouldBe(1);
expertResultsTable[expert1].Differences.ShouldBe(1);
expertResultsTable[expert1].Outcomes.ShouldBe(0);
expert2.Nickname.ShouldBe("John");
expertResultsTable[expert2].Scores.ShouldBe(0);
expertResultsTable[expert2].Differences.ShouldBe(0);
expertResultsTable[expert2].Outcomes.ShouldBe(1);
}
public async Task <IEnumerable <ExpertStatsReadDto> > Handle(GetExpertStats request,
CancellationToken cancellationToken = default(CancellationToken))
{
var tourId = request.TourId;
var tour = await _context
.Tours
.FetchWithBasePredictionsInfo(FetchMode.ForRead)
.WithIdAsync(tourId, cancellationToken);
var matches = tour.Matches;
var threePointSystem = new DefaultPredictionPointSystem();
var expertResults = new ExpertsResultAccumulator(matches);
var predictionResultsByExpert = expertResults.ExpertsTable;
var expertStats = _statService.DenormalizePredictionResultsToDto(predictionResultsByExpert, threePointSystem);
return(expertStats.OrderBy(s => s.Sum));
}
