private async void StartSimulation()
{
try
{
var airports = mMapper.Map <List <Airport> >(Airports);
var builder = SimulationBuilder.New();
var mileague = double.Parse(Mileage);
var b = 1.5;
var a = mileague / 100;
builder.Settings = new SimulationSettings()
{
Planes = new List <Plane>(),
Airports = airports,
DurationInTimeUnits = int.Parse(NumberOfIterations),
FuelPricePerLiter = double.Parse(FuelPrice),
PackageGeneration = new PackageGenerationSettings()
{
CountDistribution = new AlgorithmNormalDistributionParameters()
{
Mean = double.Parse(PackageCountMean),
StandardDeviation = double.Parse(PackageCountStd),
MinValue = double.Parse(PackageCountMin),
},
DeadlineDistribution = new AlgorithmNormalDistributionParameters()
{
Mean = double.Parse(PackageDeadlineMean),
StandardDeviation = double.Parse(PackageDeadlineStd),
MinValue = double.Parse(PackageDeadlineMin),
},
IncomeDistribution = new AlgorithmNormalDistributionParameters()
{
Mean = double.Parse(PackageIncomeMean),
StandardDeviation = double.Parse(PackageIncomeStd),
MinValue = double.Parse(PackageIncomeMin),
},
MassDistribution = new AlgorithmNormalDistributionParameters()
{
Mean = double.Parse(PackageMassMean),
StandardDeviation = double.Parse(PackageMassStd),
MinValue = double.Parse(PackageMassMin),
}
}
};
if (int.TryParse(Seed, out var seedInt))
{
builder.Settings.Seed = seedInt;
}
else
{
builder.Settings.Seed = null;
}
if (int.TryParse(PopulationSeed, out seedInt))
{
builder.Settings.InitialPopulationSeed = seedInt;
}
else
{
builder.Settings.InitialPopulationSeed = null;
}
var numOfPlanes = int.Parse(NumberOfPlanes);
builder.Settings.Planes.AddRange(Enumerable.Range(1, numOfPlanes).Select(i => new Plane()
{
Model = "Plane " + i,
Mileague = new LinearMileageFunction(a, b),
}));
builder.Settings.PenaltyPercent = double.Parse(Penalty);
builder.Settings.NumberOfIterations = int.Parse(NumberOfIterations);
builder.Settings.MutationProbability = double.Parse(MutationProbability);
builder.Settings.GenerationSize = int.Parse(NumberOfGenerations);
IterationsTotal = builder.Settings.NumberOfIterations;
builder.ProgressHandler = UpdateProgress;
var simulation = builder.Build();
if (await simulation.StartAsync())
{
Report = simulation.GetReport();
}
}
catch (Exception ex)
{
mUI.ShowInfo(ex.ToString(), "Error");
Debugger.Break();
}
}
public void RandomizeWithHierarchy()
{
//Generate histogram as follows:
//Assume a list of columns (e.g. COnference, Publisher, Year) ordred by set size descending
//Generate histogram for Conference
//Generate result for it (as base)
//a.Select a subset of conference AND a subset of Publisher (Subset ratio e.g. 15%)
//Filter base data and generate result for it
//Apply the results back to the base result (i.e. join back)
//Repeat from a. for the rest.
//See what happens.
var container = Bootstrapper.Get();
var dal = container.Resolve <Dal>();
var logger = container.Resolve <ILogger>();
var progresser = container.Resolve <IProgress>();
const string query = @"
SELECT p.Id, r.Id, p.title, r.conference, r.title, r.publisher, r.year
FROM papers p
INNER JOIN Raw_Links l
ON p.Id = l.[From]
INNER JOIN proceedings r
ON l.[To] = r.Id
AND l.[link-type]='in-proceedings'
";
//Select all conferences.
var dt = dal.GetDataTable(Dal.DefaultConnStr, query);
dt.PrimaryKey = new[] { dt.Columns[0], dt.Columns[1] }; // Setting the primary key is necessary
var tbl = ImportDataTable.ImportAdoNetDataTable(dt);
var baseHist = SimulationBuilder.GetNormalDistributedBaseHistogram();
//Now we have the base histogram.
//We want to generate a histogram for a column and save it back to database.
//Let's select conference
var selectedCols = new[] { 3, 5, 6 };
const int metricId = 1;
var hist = SimulationBuilder.GetHistogram(tbl.Columns[selectedCols[0]] as Column <string>, baseHist);
var time = new Random(DateTime.Now.Second);
var baseLoockup = SimulationBuilder.CreateSimulatedLoockup(tbl, selectedCols[0], hist,
r => TimeSpan.FromMilliseconds(time.Next(3000)));
using (var fList = System.IO.File.CreateText(@"C:\Differents.csv"))
{
//Select subset of this column and subset of the next one.
var colIdx = 0;
var filteredData = tbl.Rows;
while (colIdx < selectedCols.Length - 1)
{
var col1 = selectedCols[colIdx];
var col2 = selectedCols[colIdx + 1];
colIdx++;
var col1Items = GetSubset(tbl.Columns[col1], SubsetLevelRatio);
var col2Items = GetSubset(tbl.Columns[col2], SubsetLevelRatio);
filteredData =
filteredData.Where(r => col1Items.Contains(r.Rows[col1]) && col2Items.Contains(r.Rows[col2])).
Select(
r => r).ToList();
fList.WriteLine("NewList, {0}, {1}", col1, col2);
filteredData.Select(
f => new { col1 = tbl.Columns[col1][f.Rows[col1]], col2 = tbl.Columns[col2][f.Rows[col2]] })
.Distinct().ToList().ForEach(l => fList.WriteLine("{0},{1}", l.col1, l.col2));
logger.Log("Filtered items to {0} records now replacing it back.".FormatWith(filteredData.Count));
progresser.Reset(baseLoockup.Count);
//replace baseLoockup with filtered data.
var newLoockup = SimulationBuilder.CreateSimulatedLoockup(tbl, filteredData, selectedCols[0], hist,
r =>
TimeSpan.FromMilliseconds(time.Next(3000)));
foreach (var item in baseLoockup.Where(l => newLoockup.ContainsKey(l.Key)))
{
progresser.Progressed(1);
var newItem = newLoockup[item.Key];
item.Value.Result = newItem.Result;
item.Value.Duration = newItem.Duration;
}
progresser.Finish();
}
fList.Close();
}
//Now we've got the loockup. Store it somewehere. We put it back in the database.
//We already have a table called SimulatedMetricLoockup
const string insertMetric = "INSERT INTO Metrics (Id, MetricName, OnQuery, OnColumn) VALUES (@mId, @mName, @mQuery, @mCol);";
const string updateMetric = "UPDATE Metrics SET Id = @mId, MetricName = @mName, OnQuery = @mQuery, OnColumn = @mCol";
dal.InsertOrUpdateEntity(Dal.DefaultConnStr,
insertMetric,
updateMetric,
"SELECT Count(*) FROM Metrics Where Id = @mId",
new Dictionary <string, object>
{
{ "@mId", metricId },
{ "@mName", "NormalDistru" },
{ "mQuery", query },
{ "mCol", selectedCols[0] }
}
);
//Put everything in a temp file.
var tmpFileName = dal.InsertAllInTempFile(baseLoockup, l => String.Format("{0},{1},{2},{3}", metricId, l.Key, l.Value.Result ? 1 : 0, l.Value.Duration.Milliseconds));
//bulk insert
string bulkIns =
@"BULK INSERT SimulatedMetricLoockup FROM '{0}' WITH ( FIELDTERMINATOR = ',', ROWTERMINATOR='\n' )".
FormatWith(tmpFileName);
dal.RunCommandWithParameter(Dal.DefaultConnStr, bulkIns);
}
public static void Run()
{
SimulationBuilder.Create()
.Activate(() => new Clock())
.Simulate(TimeSpan.FromSeconds(30));
}
private void btnRun_Click(object sender, EventArgs e)
{
var container = Bootstrapper.Get();
var dal = container.Resolve <Dal>();
const string query = @"
SELECT p.Id, r.Id, p.title, r.conference, r.title, r.publisher, r.year
FROM papers p
INNER JOIN Raw_Links l
ON p.Id = l.[From]
INNER JOIN proceedings r
ON l.[To] = r.Id
AND l.[link-type]='in-proceedings'
";
//Select all conferences.
var dt = dal.GetDataTable(Dal.DefaultConnStr, query);
dt.PrimaryKey = new[] { dt.Columns[0], dt.Columns[1] }; // Setting the primary key is necessary
var tbl = ImportDataTable.ImportAdoNetDataTable(dt);
var baseHist = SimulationBuilder.GetNormalDistributedBaseHistogram();
//Now we have the base histogram.
//We want to generate a histogram for a column and save it back to database.
//Let's select conference
const int selectedCol = 3;
const int metricId = 1;
var hist = SimulationBuilder.GetHistogram(tbl.Columns[selectedCol] as Column <string>, baseHist);
var time = new Random(DateTime.Now.Second);
var loockup = SimulationBuilder.CreateSimulatedLoockup(tbl, selectedCol, hist,
r => TimeSpan.FromMilliseconds(time.Next(3000)));
//Now we've got the loockup. Store it somewehere. We put it back in the database.
//We already have a table called SimulatedMetricLoockup
const string insertMetric = "INSERT INTO Metrics (Id, MetricName, OnQuery, OnColumn) VALUES (@mId, @mName, @mQuery, @mCol);";
const string updateMetric = "UPDATE Metrics SET Id = @mId, MetricName = @mName, OnQuery = @mQuery, OnColumn = @mCol";
dal.InsertOrUpdateEntity(Dal.DefaultConnStr,
insertMetric,
updateMetric,
"SELECT Count(*) FROM Metrics Where Id = @mId",
new Dictionary <string, object>
{
{ "@mId", metricId },
{ "@mName", "NormalDistru" },
{ "mQuery", query },
{ "mCol", selectedCol }
}
);
//Put everything in a temp file.
var tmpFileName = dal.InsertAllInTempFile(loockup, l => String.Format("{0},{1},{2},{3}", metricId, l.Key, l.Value.Result ? 1 : 0, l.Value.Duration.Milliseconds));
//bulk insert
string bulkIns =
@"BULK INSERT SimulatedMetricLoockup FROM '{0}' WITH ( FIELDTERMINATOR = ',', ROWTERMINATOR='\n' )".
FormatWith(tmpFileName);
dal.RunCommandWithParameter(Dal.DefaultConnStr, bulkIns);
//const string insertLoockupQ = @"INSERT INTO SimulatedMetricLoockup (MetricId, LoockupKey, LoockupValue, Delay) VALUES (@mId, @lKey, @lVal, @lD)";
//dal.RunForAll(Dal.DefaultConnStr, insertLoockupQ, loockup.ToList(),
// l => new Dictionary<string, object> {{"@mId", 1}, {"@lKey", l.Key}, {"@lVal", l.Value.Result}, {"@lD", l.Value.Duration}}
// );
}
