public MetricResult RunAlternativeEngine(DateTime start, DateTime end, TimeSpan timeInterval)
{
dataEngine.SetDataEngine(@"C:\Users\t-hawkf\Desktop\Logs\W3SVC1");
MetricResult metricResults = new MetricResult();
MakeNewMetricCollection();
//Thought we are enumerating the data from the parser, the code is less complex if we have it all into a list and then perform our computations. Simple and quicker than the RunEngine method
//now that we have all of our data in memory go ahead and perform computations on our data with our metrics
int count = 0;
while (start < end)
{
//if we are going by the hour then add 1 Hour to starttime, by the day then add 1 day to startime, by weekly then add 7 days to starttime, by monthly
//and by yearly....
DateTime intermediateTime = start + timeInterval;
//perform metric computation on all data from [startTime, intermediateTime)
//afterwards clear the data that are in the metrics and compute metrics for the next set of data
foreach (W3C_Extended_Log log in dataEngine.GetLines(start, intermediateTime))
{
HelperFunction(start, intermediateTime, log);
}
//after HelperFunction is called, the metrics for the data of timestamps [startTime, intermediateTime] should be completed, now organize the data
foreach (IMetric job in _metricCollection)
{
//make a new object of list for that key
if (job != null)
{
if (!metricResults.MetricNames.Contains(job.MetricName))
{
metricResults.MetricNames.Add(job.MetricName);
metricResults.Result.Add(new List <object>());
}
if (!metricResults.Times.Contains(start.ToString()))
{
metricResults.Times.Add(start.ToString());
}
metricResults.Result[count].Add(job.GetResult());
//count keep tracks of which List object we add the result to. Each Metric has its own List object
count++;
}
}
start = intermediateTime;
MakeNewMetricCollection();
count = 0;
}
return(metricResults);
}
public MetricResult RunAlternativeEngine(DateTime start, DateTime end, TimeSpan timeInterval)
{
dataEngine.SetDataEngine(@"C:\Users\t-hawkf\Desktop\Logs\W3SVC1");
MetricResult metricResults = new MetricResult();
MakeNewMetricCollection();
//Thought we are enumerating the data from the parser, the code is less complex if we have it all into a list and then perform our computations. Simple and quicker than the RunEngine method
//now that we have all of our data in memory go ahead and perform computations on our data with our metrics
int count = 0;
while (start < end)
{
//if we are going by the hour then add 1 Hour to starttime, by the day then add 1 day to startime, by weekly then add 7 days to starttime, by monthly
//and by yearly....
DateTime intermediateTime = start + timeInterval;
//perform metric computation on all data from [startTime, intermediateTime)
//afterwards clear the data that are in the metrics and compute metrics for the next set of data
foreach (W3C_Extended_Log log in dataEngine.GetLines(start, intermediateTime))
{
HelperFunction(start, intermediateTime, log);
}
//after HelperFunction is called, the metrics for the data of timestamps [startTime, intermediateTime] should be completed, now organize the data
foreach (IMetric job in _metricCollection)
{
//make a new object of list for that key
if (job != null)
{
if (!metricResults.MetricNames.Contains(job.MetricName))
{
metricResults.MetricNames.Add(job.MetricName);
metricResults.Result.Add(new List<object>());
}
if (!metricResults.Times.Contains(start.ToString()))
{
metricResults.Times.Add(start.ToString());
}
metricResults.Result[count].Add(job.GetResult());
//count keep tracks of which List object we add the result to. Each Metric has its own List object
count++;
}
}
start = intermediateTime;
MakeNewMetricCollection();
count = 0;
}
return metricResults;
}
