public static List <ClickModel> GenerateClicksStartFrom12Percent(List <string> links, long clickCountTotal, List <OpenModelKeyword> keywords)
{
double firstPercentage = (double)(Random.Next(120000, 150000));
double percentage = firstPercentage;
List <ClickModel> clicks = new List <ClickModel>();
foreach (var l in links)
{
var m = new ClickModel()
{
Link = l,
};
float overRidePercentage = -1f;
foreach (var k in keywords)
{
if (l.Contains(k.Keyword))
{
overRidePercentage = k.RulePercentage;
break;
}
}
if (overRidePercentage != -1)
{
m.ClickPercentage = overRidePercentage;
}
else
{
m.ClickPercentage = percentage / 10000.0;
// decrement random for next link 0.1 - firstPercentage
percentage = firstPercentage - (Random.Next(2000, (int)firstPercentage));
}
m.Clicks = (int)(m.ClickPercentage / 100.0 * (double)clickCountTotal);
clicks.Add(m);
}
return(clicks);
}
public static List <ClickModel> GenerateClicksOutof100(List <string> links, long clickCountTotal, List <OpenModelKeyword> keywords)
{
List <ClickModel> clicks = new List <ClickModel>();
// Calculate remaing %ages out of 100 excluding %ages of kewords
float totalPercentage = 100f;
int toOverRideCount = 0;
foreach (var l in links)
{
foreach (var k in keywords)
{
if (l.Contains(k.Keyword))
{
totalPercentage = totalPercentage - k.RulePercentage;
toOverRideCount++;
}
}
}
int remainingPercentage = 100;//(int)totalPercentage;
int nonSocialLinks = links.Count - toOverRideCount;
List <int> numbers;
if (nonSocialLinks == 1)
{
numbers = new List <int>()
{
100
}
}
;
else if (nonSocialLinks == 2)
{
// first 50-60%
var num1 = (int)(Random.Next(50000, 65000) / 1000.0);
numbers = new List <int>()
{
num1, 100 - num1
};
}
else if (nonSocialLinks == 3)
{
// first 50-60%, second 30-35%
var num1 = (int)(Random.Next(50000, 65000) / 1000.0);
var num2 = (int)(Random.Next(20000, 35000) / 1000.0);
numbers = new List <int>()
{
num1, num2, 100 - num1 - num2
};
}
else
{
numbers = Randomizer.GetNumbers(nonSocialLinks, remainingPercentage).AsEnumerable().OrderByDescending(x => x).ToList();
}
int index = 0;
foreach (var l in links)
{
var m = new ClickModel()
{
Link = l,
};
float overRidePercentage = -1f;
foreach (var k in keywords)
{
if (l.Contains(k.Keyword))
{
overRidePercentage = k.RulePercentage;
break;
}
}
if (overRidePercentage != -1)
{
m.ClickPercentage = overRidePercentage;
}
else
{
m.ClickPercentage = numbers[index];
index++;
}
m.Clicks = (int)(m.ClickPercentage / 100.0 * (double)clickCountTotal);
clicks.Add(m);
}
return(clicks);
}
public static List <ClickModel> GenerateClicks(List <string> links, long clickCountTotal, List <OpenModelKeyword> keywords)
{
int numberOfLinks = links.Count;
int numberInEachGroup = numberOfLinks < 3 ? 1 : (numberOfLinks / 3);
int numberOfUpperGroups = numberOfLinks / numberInEachGroup;
int numberOfBottomGroups = (numberInEachGroup * numberOfUpperGroups > numberOfLinks) ?
(numberOfLinks - numberInEachGroup * (numberOfUpperGroups - 1)) :
(numberOfLinks - numberInEachGroup * numberOfUpperGroups);
List <ClickModel> clicks = new List <ClickModel>();
int previousWhichOf3 = 0;
int previousWhichOf5 = 0;
for (int index = 0; index < numberOfLinks; index++)
{
ClickModel click = new ClickModel()
{
Index = index + 1,
Link = links[index]
};
click.GroupNumber = (int)Math.Ceiling((double)((index) / numberInEachGroup)) + 1;
click.WhichOf3 = click.GroupNumber > 3 ? 3 : click.GroupNumber;
click.WhichOf5 = (previousWhichOf3 != click.WhichOf3) ? 1 : (previousWhichOf5 + 1);
previousWhichOf3 = click.WhichOf3;
previousWhichOf5 = click.WhichOf5;
click.Distribution3 = GetSectionSpread(3, click.WhichOf3);
click.Distribution5 = GetSectionSpread(5, click.WhichOf5);
click.Distribution5Half = (click.Distribution5 / 2.0);
click.Distribution35 = click.Distribution3 * click.Distribution5;
click.RandomOutOf10K = Random.Next((int)(click.Distribution35 * 10000), (int)(click.Distribution35 * (1 + click.Distribution5Half) * 10000));
clicks.Add(click);
}
int sumOfRandoms = clicks.Sum(x => x.RandomOutOf10K);
clicks.ForEach(x => x.ClickPercentage = (double)x.RandomOutOf10K / sumOfRandoms);
// Override %ages for social links
foreach (var click in clicks)
{
double overRidePercentage = -1;
foreach (var k in keywords)
{
if (click.Link.Contains(k.Keyword))
{
overRidePercentage = k.RulePercentage / 100.0;
break;
}
}
if (overRidePercentage != -1)
{
click.ClickPercentage = overRidePercentage;
}
}
clicks.ForEach(x => x.Clicks = (int)Math.Ceiling(x.ClickPercentage * clickCountTotal));
return(clicks);
}
