public void PerformProjection_OneMatchingBookRecommendations_IncreasedRatings()
{
_rec1obj = _recommendation1.Object;
_rec1obj.SpotLength = _rec1Length;
var reccomendations = new List <Recommendation>()
{
_rec1obj
};
var rating = CampaignProjectionProcessing.ProjectRatingsForCampaignDayPart(_dayPart, reccomendations, _targetStrikeWeightStartDate, _targetStrikeWeightEndDate, _campaignSalesAreaList);
foreach (var key in rating)
{
_recommendationsTotalForDayPart += (int)key.Value;
}
Assert.IsTrue(_recommendationsTotalForDayPart == _rec1Rating);
}
public void PerformProjection_RecommendationOutsideStrikeWeightDate_ZeroRatings()
{
_ = _recommendation1.Setup(r => r.StartDateTime).Returns(_targetStrikeWeightEndDate.AddDays(1)); //TEST - setting to be outside of target strike weight
_rec1obj = _recommendation1.Object; //get the object here in order to set the NodaTime Duration - otherwise get 'invalid setup of non-vitual..'
_rec1obj.SpotLength = _rec1Length;
var reccomendations = new List <Recommendation>()
{
_rec1obj
};
var rating = CampaignProjectionProcessing.ProjectRatingsForCampaignDayPart(_dayPart, reccomendations, _targetStrikeWeightStartDate, _targetStrikeWeightEndDate, _campaignSalesAreaList);
foreach (var key in rating)
{
_recommendationsTotalForDayPart += (int)key.Value;
}
//_recommendation1.Object StartDateTime has been setup to be later than target end date, so the returned ratings total should be 0
Assert.IsTrue(_recommendationsTotalForDayPart == 0);
}
public void PerformProjection_MatchingRecommendationsNeighbouringTimeSlices_CorrectRating()
{
_ = _recommendation2.Setup(r => r.StartDateTime).Returns(new DateTime(2018, 1, 1, 2, 0, 0));
_rec1obj = _recommendation1.Object;
_rec1obj.SpotLength = _rec1Length;
_rec2obj = _recommendation2.Object;
_rec2obj.SpotLength = _rec2Length;
var reccomendations = new List <Recommendation>()
{
_rec1obj, _rec2obj
};
_dayPart.Timeslices[1].FromTime = _timeslice1To; //2 daypart timeslices set to (00:00 to 01:00 && 01:00 to 08:00 hours)
var rating = CampaignProjectionProcessing.ProjectRatingsForCampaignDayPart(_dayPart, reccomendations, _targetStrikeWeightStartDate, _targetStrikeWeightEndDate, _campaignSalesAreaList);
foreach (var key in rating)
{
_recommendationsTotalForDayPart += (int)key.Value;
}
//both recommendations are inside the timeslices of the day part, so the returned total should be equal to the sum of both
Assert.IsTrue(_recommendationsTotalForDayPart == _rec1Rating - _rec2Rating);
}
public void PerformProjection_RecommendationInsideStrikeWeightButOutsideTimeSlice_CorrectRating()
{
//setting _recommendation2.StartDateTime (02 hours) to be outside of the 2 daypart timeslices (00:00 to 01:00 && 06:00 to 08:00 hours)
_ = _recommendation2.Setup(r => r.StartDateTime).Returns(new DateTime(2018, 1, 1, 2, 0, 0));
_rec1obj = _recommendation1.Object;
_rec1obj.SpotLength = _rec1Length;
_rec2obj = _recommendation2.Object;
_rec2obj.SpotLength = _rec2Length;
var reccomendations = new List <Recommendation>()
{
_rec1obj, _rec2obj
};
var rating = CampaignProjectionProcessing.ProjectRatingsForCampaignDayPart(_dayPart, reccomendations, _targetStrikeWeightStartDate, _targetStrikeWeightEndDate, _campaignSalesAreaList);
foreach (var key in rating)
{
_recommendationsTotalForDayPart += (int)key.Value;
}
//_recommendation2.Object has been setup to be outside of the time slices included in the day part, so the returned total should equal only to the ratings in _recommendation1.Object
Assert.IsTrue(_recommendationsTotalForDayPart == _rec1Rating);
}
public void PerformProjection_RecommendationInsideStrikeWeightButNonMatchingTimesliceDOW_CorrectRating()
{
//4th Jan 2018 = Thursday in rec2, DOW in daypart.timeslices are Mon, Tues, Wed
_ = _recommendation2.Setup(r => r.StartDateTime).Returns(new DateTime(2018, 1, 4, 0, 0, 0));
_rec1obj = _recommendation1.Object;
_rec1obj.SpotLength = _rec1Length;
_rec2obj = _recommendation2.Object;
_rec2obj.SpotLength = _rec2Length;
var reccomendations = new List <Recommendation>()
{
_rec1obj, _rec2obj
};
var rating = CampaignProjectionProcessing.ProjectRatingsForCampaignDayPart(_dayPart, reccomendations, _targetStrikeWeightStartDate, _targetStrikeWeightEndDate, _campaignSalesAreaList);
foreach (var key in rating)
{
_recommendationsTotalForDayPart += (int)key.Value;
}
//_recommendation2.Object has been setup to be a thursday, so the returned total should equal only to the ratings in _recommendation1.Object
Assert.IsTrue(_recommendationsTotalForDayPart == _rec1Rating);
}
public IHttpActionResult GetGroupWithScenarioRecommendations(Guid scenarioId, String group)
{
var campaignRefList = _mapper.Map <List <CampaignModel> >(_campaignRepository.GetByGroup(group));
//clone to get a deep level copy as the campaignRefList will only contain a shallow copy;
//the Clone() methods for all the objects inside the campaign object have all been amended so they will be a copy and not a reference
var campaignList = new List <CampaignModel>();
foreach (var campRefDoc in campaignRefList)
{
var campDoc = campRefDoc.Clone();
campaignList.Add((CampaignModel)campDoc);
}
var scenarioRecommendations = _recommendationRepository.GetByScenarioId(scenarioId);
scenarioRecommendations = scenarioRecommendations.Where(r => r.ExternalCampaignNumber.Contains(group));
decimal recommendationsTotalRatingsForDayPart = 0;
Dictionary <NodaTime.Duration, decimal> lengthRatings = new Dictionary <NodaTime.Duration, decimal>();
List <string> salesAreasList = new List <string>();
campaignList.ForEach(campaignDoc =>
{
campaignDoc.SalesAreaCampaignTarget.ForEach(salesAreaCampaignTarget =>
{
salesAreaCampaignTarget.CampaignTargets.ForEach(campaignTarget =>
{
salesAreasList.Clear();
foreach (var item in salesAreaCampaignTarget.SalesAreaGroup.SalesAreas)
{
salesAreasList.Add(item);
}
campaignTarget.StrikeWeights.ForEach(strikeWeight =>
{
strikeWeight.DayParts.ForEach(dayPart =>
{
recommendationsTotalRatingsForDayPart = 0; //reset at beginning of each day part
//get dictionary list of time lengths and ratings for this dayPart..
lengthRatings = CampaignProjectionProcessing.ProjectRatingsForCampaignDayPart(dayPart, scenarioRecommendations, strikeWeight.StartDate, strikeWeight.EndDate, salesAreasList);
//if there are some ratingsPredictions for this day part section then add them to the appropriate parts of the camapaign document to be returned to api call
if (lengthRatings.Count > 0)
{
//update different totals of this campaign document using the array of length counts passed back from each day part....
//individual lengths in salesAreaCampaignTarget totals and campaigndoc actual totals..
foreach (var multi in salesAreaCampaignTarget.Multiparts)
{
foreach (var len in multi.Lengths)
{
foreach (var item in lengthRatings)
{
if (len == item.Key)
{
multi.CurrentPercentageSplit += item.Value;
campaignDoc.ActualRatings += item.Value;
}
}
}
}
//individual lengths in the strikeweights totals..
int lenCnt = 0;
foreach (var len in strikeWeight.Lengths)
{
foreach (var item in lengthRatings)
{
if (len.length == item.Key)
{
strikeWeight.Lengths[lenCnt].CurrentPercentageSplit = strikeWeight.Lengths[lenCnt].CurrentPercentageSplit + (int)item.Value;
//keep a running total for where there are diffrent lengths in doc; not the case for Nine
recommendationsTotalRatingsForDayPart += item.Value;
}
}
lenCnt++;
}
//strikeweight totals, from running total above..
strikeWeight.CurrentPercentageSplit += recommendationsTotalRatingsForDayPart;
//daypart totals, from running total above..
dayPart.CurrentPercentageSplit += recommendationsTotalRatingsForDayPart;
}
});
});
});
});
});
return(Ok(campaignList));
}
