public void startInference(UDCTree UDCHierarchy, int depth = 0)
{
SubtypeMiner miner = null;
var typesAtDepth = UDCHierarchy.GetAllTypesAtDepth(depth);
foreach (var v in typesAtDepth)
{
UDCTree subTree = new UDCTree(v);
Console.WriteLine("Running Inference for {0} ...", v.Value.MetadataName);
var typeNamesOfDescendants = UDCHierarchy.GetTypeNamesOfDescendants(v);
miner = new SubtypeMiner(new HashSet <string>(typeNamesOfDescendants), _typeRelations, 50);
SubTreeResults res = new SubTreeResults(subTree, miner);
MiningResults.Add(res);
if (miner.NumRelationships == 0)
{
continue;
}
res.computeScores();
try
{
_typeRelations.ToDot("results/" + v.Value.ToDisplayString() + ".dot", _pathProcessor, res.clusteringResult);
writeResultsToDisk(_pathProcessor, res, ResultsDirectory + v.Value.ToDisplayString() + "_result.txt");
}
catch (Exception e)
{
Console.WriteLine("{0}", e.Message);
continue;
}
}
}
public void startTypeSpecificNameFlowInference(UDCTree UDCHierarchy, int depth = 0)
{
var typeLocationDict = UDCHierarchy.getUDTLineSpans();
SubtypeMiner miner = null;
var typesAtDepth = UDCHierarchy.GetAllTypesAtDepth(depth);
foreach (var v in UDCHierarchy.getAllTypes())
{
if (v.Value.Locations.Length == 0 || !v.Value.Locations.All(x => x.IsInSource))
{
continue;
}
UDCTree subTree = new UDCTree(v);
Console.WriteLine("Running Inference for {0} ...", v.Value.MetadataName);
miner = new SubtypeMiner(null, _typeRelations, 50, true, v.Value);
SubTreeResults res = new SubTreeResults(subTree, miner);
try {
MiningResults.Add(res);
if (miner.NumRelationships == 0)
{
continue;
}
res.computeScores();
}
catch (Exception e)
{
Console.WriteLine("{0}", e.Message);
continue;
}
try
{
//_typeRelations.ToDot(ResultsDirectory + v.Value.ToDisplayString() + ".dot", _pathProcessor, res.clusteringResult);
writeResultsToDisk(_pathProcessor, res, ResultsDirectory + v.Value.ToDisplayString() + "_result.txt", miner.GetLineSpanOfType(v.Value));
}
catch (Exception e)
{
Console.WriteLine("{0}", e.Message);
continue;
}
}
}
public void startConsolidatedInference(UDCTree UDCHierarchy, int depth = 0)
{
SubtypeMiner miner = null;
List <string> alltypes = new List <string>();
var typesAtDepth = UDCHierarchy.GetAllTypesAtDepth(depth);
foreach (var v in typesAtDepth)
{
List <string> typeNamesOfDescendants = new List <string>();
Console.WriteLine("Running Inference for {0} ...", v.Value.MetadataName);
try{
typeNamesOfDescendants = UDCHierarchy.GetTypeNamesOfDescendants(v);
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
}
alltypes = alltypes.Concat(typeNamesOfDescendants).ToList();
}
alltypes = randomUniformSample(alltypes);
UDCTree subTree = new UDCTree(typesAtDepth.First());
miner = new SubtypeMiner(new HashSet <string>(alltypes), _typeRelations, 50);
SubTreeResults res = new SubTreeResults(subTree, miner);
MiningResults.Add(res);
if (miner.NumRelationships > 0)
{
res.computeScores();
try
{
//_typeRelations.ToDot(ResultsDirectory + "consolidated.dot", _pathProcessor, res.clusteringResult);
writeResultsToDisk(_pathProcessor, res, ResultsDirectory + "consolidated" + "_result.txt");
}
catch (Exception e)
{
Console.WriteLine("{0}", e.Message);
}
}
}
public void writeResultsToDisk(
Func <string, int, string> pathProcessor, SubTreeResults res, string filename = "results/cluster_dict.txt", int linespan = 0)
{
/*try
* {
* using (var writer = new StreamWriter(filename))
* {
* int i = 0;
* foreach (var color in res.clusteringResult)
* {
* writer.WriteLine($"===============Cluster {i + 1}: Parents: [{string.Join(", ", res.ClusterParents[i].Select(k => k + 1))}]===================");
* i++;
* foreach (AbstractNode node in color)
* {
* string path;
* if (node.Location != null)
* {
* if (node.Location.SourceTree != null)
* {
* path = pathProcessor(node.Location.SourceTree.FilePath,
* node.Location.GetLineSpan().StartLinePosition.Line);
* }
* else
* {
* path = node.Location.ToString();
* }
* }
* else
* {
* path = "unknown path";
* }
* //writer.WriteLine($"{node} at {path}");
* writer.WriteLine($"{node}");
* }
* }
* }
* //Console.WriteLine("Average purity: {0:0.000}", avergagePurity);
* }
* catch (Exception ex)
* {
* Console.WriteLine("{0}", ex.Message);
* }*/
try
{
Dictionary <string, Object> clusDict = new Dictionary <string, Object>();
using (var writer = new StreamWriter(filename))
{
int i = 0;
foreach (var color in res.clusteringResult)
{
i++;
var d = new List <Dictionary <string, string> >();
foreach (AbstractNode node in color)
{
var v = new Dictionary <string, string>();
v.Add("Type", node.Type);
v.Add("Name", node.Name);
v.Add("Location", node.Location.GetMappedLineSpan().Path);
v.Add("Linespan", node.Location.GetMappedLineSpan().StartLinePosition.Line.ToString());
d.Add(v);
}
try
{
clusDict.Add(i.ToString(), d);
}
catch
{
clusDict[i.ToString()] = d;
}
clusDict["linespan"] = linespan;
}
writer.WriteLine(JsonConvert.SerializeObject(clusDict, Formatting.Indented));
writer.Close();
}
}
catch (Exception ex)
{
Console.WriteLine("{0}", ex.Message);
}
/*
* var typename = res.SubTree.UDCTreeRoots.First().Value.Name;
* Dictionary < string, List< Tuple < int, double, double>>> scores = new Dictionary<string, List<Tuple<int, double, double>>>();
* scores.Add("clusters", res.TreeScores);
* // write scores to a file
* string scores_str = JsonConvert.SerializeObject(scores, Formatting.Indented);
* // Write the string to a file.
* var file = new System.IO.StreamWriter("results/"+ typename +"_scores.txt");
* file.WriteLine(scores_str);
* file.Close();
*/
}
