public static VmRecommendationProjection Build(SmRecommendationSummary recommendation, SmRecommendationProjectionSummary model, int index)
{
if (model == null)
{
return(null);
}
var isMarkdown = (recommendation.ScheduleMask & (1 << index)) != 0;
var isCsp = true;
var isPadding = true;
if (recommendation.ScheduleId > 0)
{
var bits = recommendation.ScheduleId.GetBitIndexes().ToList();
isCsp = index < bits.First();
isPadding = index > bits.Last();
}
return(new VmRecommendationProjection
{
Week = model.Week,
Discount = model.Discount,
Price = model.Price,
Quantity = model.Quantity,
IsCsp = isCsp,
IsPadding = isPadding,
IsMarkdown = isMarkdown
});
}
public void RecommendationProjection_Correctly_Identifies_CSP_From_Schedule_Id()
{
var expected = new List <int> {
1
};
// No markdown in week 5
var scheduleMask = Convert.ToInt32("11101111", 2);
// 5 markdowns, starting with CSP
var scheduleId = Convert.ToInt32("10101110", 2);
var recommendation = new SmRecommendationSummary
{
ScheduleId = scheduleId,
ScheduleMask = scheduleMask
};
var projections = new List <SmRecommendationProjectionSummary>
{
new SmRecommendationProjectionSummary {
Week = 1, Discount = 0
},
new SmRecommendationProjectionSummary {
Week = 2, Discount = 0.1M
},
new SmRecommendationProjectionSummary {
Week = 3, Discount = 0.2M
},
new SmRecommendationProjectionSummary {
Week = 4, Discount = 0.3M
},
new SmRecommendationProjectionSummary {
Week = 5, Discount = 0.3M
},
new SmRecommendationProjectionSummary {
Week = 6, Discount = 0.4M
},
new SmRecommendationProjectionSummary {
Week = 7, Discount = 0.4M
},
new SmRecommendationProjectionSummary {
Week = 8, Discount = 0.5M
},
};
var result = VmRecommendationProjection.Build(recommendation, projections);
result
.Where(x => x.IsCsp)
.Select(x => x.Week)
.ShouldAllBeEquivalentTo(expected);
}
public static List <VmRecommendationProjection> Build(SmRecommendationSummary recommendation, List <SmRecommendationProjectionSummary> models)
{
return(recommendation == null || models == null ? new List <VmRecommendationProjection>() : models.Select((x, i) => Build(recommendation, x, i)).ToList());
}
