public void AnalyseTest()
{
// Setup a new Event Collection
EventCollection collection = new EventCollection();
// Add 4 Clusters
collection.AddRange(GenerateCluster(51.0, 51.1, -21.0, -21.1, 10));
collection.AddRange(GenerateCluster(41.0, 41.1, -11.0, -11.1, 10));
collection.AddRange(GenerateCluster(31.0, 31.1, -1.0, -1.1, 10));
collection.AddRange(GenerateCluster(21.0, 21.1, 1.0, 1.1, 10));
// Cluster the data
DBSCAN scan = new DBSCAN(collection, 5);
scan.Analyse();
// Ensure that there are 4 clusters
Assert.AreEqual(4, scan.Clusters.Count);
// Esnure that there are 10 objects within each cluster
Assert.AreEqual(10, scan.Clusters[0].Count);
Assert.AreEqual(10, scan.Clusters[1].Count);
Assert.AreEqual(10, scan.Clusters[2].Count);
Assert.AreEqual(10, scan.Clusters[3].Count);
}
public void Initialise()
{
// A dictionary of week-events
Events = new EventCollection();
// Read in the Week 32 logs
KMLReader w32_reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
Events.AddRange(w32_reader.GetCallLogs());
// Read in the Week 33 logs
KMLReader w33_reader = new KMLReader(ROOT_DIR + "data\\L_wk33_drops.kml");
Events.AddRange(w33_reader.GetCallLogs());
// Read in the Week 34 logs
KMLReader w34_reader = new KMLReader(ROOT_DIR + "data\\L_wk34_drops.kml");
Events.AddRange(w34_reader.GetCallLogs());
// Read in the Week 35 logs
KMLReader w35_reader = new KMLReader(ROOT_DIR + "data\\L_wk35_drops.kml");
Events.AddRange(w35_reader.GetCallLogs());
// Initialise the Multi-Product Analysis Object
Analysis = new MultiProductAnalysis();
Analysis.AddRange(Events);
// Cluster the data
Analysis.Cluster(EPS, MIN_POINTS);
// Analyse all weeks
Analysis.AnalyseProducts();
}
/// <summary>
/// This method will analyse a given directory. It will firstly scan the
/// directoy for all kml files. The analysis will produce an output KML
/// file and a number of output JSON analysis files, depending upon the
/// runtime options supplied.
/// </summary>
private static void AnalyseDirectory()
{
String directory = InputArguments["source"];
EventCollection collection = new EventCollection();
// Only continue if the input directory exists
if (!Directory.Exists(directory))
{
return;
}
// Get a list of all the KML file names within the directory
String[] files = Directory.GetFiles(directory, "*.kml", SearchOption.TopDirectoryOnly);
// Loop over each of the file and add to the data
foreach (String file in files)
{
// Parse the KML file
KMLReader reader = new KMLReader(file);
// Add the data to the known events
collection.AddRange(reader.GetCallLogs());
}
// Perform the analysis
PerformAnalysis(collection);
}
static private void GetEvents(Journal.OptionsRow or, ILJServer iLJ, ref SyncItemCollection sic,
ref SyncItemCollection deletedsic, ref EventCollection ec)
{
// for an explanation of this algorithm, see
// http://www.livejournal.com/community/lj_clients/143312.html
// note that this is a very painful algorithm. it will loop an extra time for each
// deleted syncitem that getevents doesn't return an event for. if LJ decides to revise
// how they return syncitems, this algorithm can be made more efficient.
int total = sic.Count;
while (sic.Count > 0)
{
SyncItem oldest = sic.GetOldest();
DateTime oldestTime = DateTime.Parse(oldest.time, CultureInfo.InvariantCulture).AddSeconds(-1);
GetChallengeResponse gcr = iLJ.GetChallenge();
string auth_response = MD5Hasher.Compute(gcr.challenge + or.HPassword);
GetEventsParams gep = new GetEventsParams(or.UserName, "challenge", gcr.challenge,
auth_response, 1, 0, 0, 0, "syncitems", oldestTime.ToString(_datetimeformat), 0, 0, 0, 0,
string.Empty, 0, "unix", (or.IsUseJournalNull() ? string.Empty : or.UseJournal));
GetEventsResponse ger;
socb(new SyncOperationEventArgs(SyncOperation.GetEvents, total - sic.Count, total));
ger = iLJ.GetEvents(gep);
// remove this item in case it isn't returned by getevents
// this signifies that the item has been deleted
// this also ensures we don't get stuck in an endless loop
sic.Remove(oldest);
sic.RemoveDownloaded(ger.events);
deletedsic.RemoveDownloaded(ger.events);
ec.AddRange(ger.events);
}
}
public ActionResult Save(Bam.Net.Logging.Data.Event[] values)
{
try
{
EventCollection saver = new EventCollection();
saver.AddRange(values);
saver.Save();
return(Json(new { Success = true, Message = "", Dao = "" }));
}
catch (Exception ex)
{
return(GetErrorResult(ex));
}
}
public void AddRangeTest()
{
// Ensure there are four elements before starting
Assert.AreEqual(4, collection.Count);
// Make a clone of the collection
EventCollection collection2 = (EventCollection)collection.Clone();
// Add the cloned data back into the original collection
collection.AddRange(collection2);
// Test to ensure the count has gone up.
Assert.AreEqual(8, collection.Count);
}
public void AnalyseTest()
{
// Setup a new Event Collection
EventCollection collection = new EventCollection();
// Add 4 Clusters
collection.AddRange(GenerateCluster(51.0, 51.1, -21.0, -21.1, 10));
collection.AddRange(GenerateCluster(41.0, 41.1, -11.0, -11.1, 10));
collection.AddRange(GenerateCluster(31.0, 31.1, -1.0, -1.1, 10));
collection.AddRange(GenerateCluster(21.0, 21.1, 1.0, 1.1, 10));
// Cluster the data
DBSCAN scan = new DBSCAN(collection, 5);
scan.Analyse();
// Ensure that there are 4 clusters
Assert.AreEqual(4, scan.Clusters.Count);
// Esnure that there are 10 objects within each cluster
Assert.AreEqual(10, scan.Clusters[0].Count);
Assert.AreEqual(10, scan.Clusters[1].Count);
Assert.AreEqual(10, scan.Clusters[2].Count);
Assert.AreEqual(10, scan.Clusters[3].Count);
}
/// <summary>
/// This method will analyse a given directory. It will firstly scan the
/// directoy for all kml files. The analysis will produce an output KML
/// file and a number of output JSON analysis files, depending upon the
/// runtime options supplied.
/// </summary>
private static void AnalyseDirectory()
{
String directory = InputArguments["source"];
EventCollection collection = new EventCollection();
// Only continue if the input directory exists
if (!Directory.Exists(directory))
{
return;
}
// Get a list of all the KML file names within the directory
String[] files = Directory.GetFiles(directory, "*.kml", SearchOption.TopDirectoryOnly);
// Loop over each of the file and add to the data
foreach (String file in files)
{
// Parse the KML file
KMLReader reader = new KMLReader(file);
// Add the data to the known events
collection.AddRange(reader.GetCallLogs());
}
// Perform the analysis
PerformAnalysis(collection);
}
public void Initialise()
{
// A dictionary of week-events
Events = new EventCollection();
// Read in the Week 32 logs
KMLReader w32_reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
Events.AddRange(w32_reader.GetCallLogs());
// Read in the Week 33 logs
KMLReader w33_reader = new KMLReader(ROOT_DIR + "data\\L_wk33_drops.kml");
Events.AddRange(w33_reader.GetCallLogs());
// Read in the Week 34 logs
KMLReader w34_reader = new KMLReader(ROOT_DIR + "data\\L_wk34_drops.kml");
Events.AddRange(w34_reader.GetCallLogs());
// Read in the Week 35 logs
KMLReader w35_reader = new KMLReader(ROOT_DIR + "data\\L_wk35_drops.kml");
Events.AddRange(w35_reader.GetCallLogs());
// Initialise the Multi-Product Analysis Object
Analysis = new MultiProductAnalysis();
Analysis.AddRange(Events);
// Cluster the data
Analysis.Cluster(EPS, MIN_POINTS);
// Analyse all weeks
Analysis.AnalyseProducts();
}