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);
}
/// <summary>
/// This is a helper method, to reduce repeating code throughout this Test
/// class. The objective of this method is to parse a given KML file, and
/// return an EventCollection object.
/// </summary>
/// <param name="file"></param>
/// <returns></returns>
private EventCollection ReadKMLFile(String file)
{
// Create a new KML reader object to read the data
KMLReader reader = new KMLReader(file);
// Return a collection of events from the KML file
return(reader.GetCallLogs());
}
//Os fluxos abaixo foram executados na ordem em que se apresentam
//Step 1
//Busca uma lista de coordenadas no arquivo KML
//Para cada coordenada busca dados de lugares na api do Foursquare (Parametro true para salvar respostas das consultas no banco de dados, ou nada, para não salvar)
//Converte o resultado da consulta em um objeto do sistema, verifica se ele já existe no banco e insere (ou não) no banco de dados
private static void RequestAndStorePlaces(IVenueService venueService)
{
IList <string> coordinates = KMLReader.GetCoordiates();
foreach (var latLon in coordinates)
{
RawVanuesData rawVenues = FoursquareClient.GetVenues(latLon, true);
foreach (var rawVenue in rawVenues.Response.Venues)
{
venueService.Insert(new Venue(rawVenue));
}
}
}
/// <summary>
/// This method will analyse a given kml file. The analysis will produce
/// an output KML file and a number of output JSON analysis files,
/// depending upon the runtime options supplied.
/// </summary>
/// <param name="file">The KML file to analyse</param>
private static void AnalyseFile(String file)
{
// Ensure the file exists
if (!File.Exists(file))
{
throw new FileNotFoundException("File does not exist", file);
}
// Read in all the known events from the input file
KMLReader reader = new KMLReader(file);
EventCollection collection = reader.GetCallLogs();
// Perform the analysis
PerformAnalysis(collection);
}
public void TestZ()
{
string kml = "<Point><coordinates>1.0,1.0,50.0</coordinates></Point>";
var kmlReader = new KMLReader();
try
{
var parsedGeometry = kmlReader.Read(kml);
Assert.AreEqual(50.0, parsedGeometry.Coordinate.Z, "Wrong Z");
}
catch (ParseException e)
{
throw new AssertionException($"ParseException: {e.Message}", e);
}
}
public void Initalise()
{
// Read in a Sample KML File
KMLReader reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
// Obtain all the events
EventCollection collection = reader.GetCallLogs();
// Cluster the Events
DBSCAN scan = new DBSCAN(collection);
scan.Analyse();
// Get a copy of the Clustered Events
Clusters = scan.Clusters;
// Get a copy of the Noise Events
Noise = scan.Noise;
// Make a new TEMP dir
Directory.CreateDirectory(OUTPUT_DIR);
}
public void TestPrecisionAndSRID()
{
string kml = "<Point><altitudeMode>absolute</altitudeMode><coordinates>1.385093,1.436456</coordinates></Point>";
var geometryFactory = new GeometryFactory(new PrecisionModel(1000.0), 4326);
var kmlReader = new KMLReader(geometryFactory);
try
{
var parsedGeometry = kmlReader.Read(kml);
Assert.AreEqual(geometryFactory.SRID, parsedGeometry.SRID, "Wrong SRID");
Assert.AreEqual("POINT (1.385 1.436)", parsedGeometry.AsText(), "Wrong precision");
}
catch (ParseException e)
{
throw new AssertionException($"ParseException: {e.Message}", e);
}
}
public void Initialise()
{
// Create a new KML Reader
KMLReader reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
// Read in all call logs
EventCollection collection = reader.GetCallLogs();
// Cluster the call logs
DBSCAN scan = new DBSCAN(collection);
scan.Analyse();
// Initialise the cluster
Cluster = new EventCollection(scan.Clusters.OrderBy(col => col.Count).Last());
// Initialise the Cluster analysis
Analysis = new DropAnalysis(Cluster);
}
public void Initialise()
{
// Create a new KML Reader
KMLReader reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
// Read in all call logs
EventCollection collection = reader.GetCallLogs();
// Cluster the call logs
DBSCAN scan = new DBSCAN(collection);
scan.Analyse();
// Initialise the clusters
Clusters = scan.Clusters;
// Initialise the analysis
Analysis = new WeekAnalysis(Clusters, WEEK);
}
public void Initialise()
{
// Create a new KML Reader
KMLReader reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
// Read in all call logs
EventCollection collection = reader.GetCallLogs();
collection.ForEach(evt => evt.Device = DEVICE);
// Cluster the call logs
DBSCAN scan = new DBSCAN(collection);
scan.Analyse();
// Initialise the clusters
Clusters = scan.Clusters;
// Initialise the analysis
Analysis = new ProductAnalysis(Clusters, DEVICE);
}
public void Initialise()
{
// A dictionary of week-events
Events = new Dictionary <int, EventCollection>();
// Read in the Week 32 logs
KMLReader w32_reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
Events[32] = w32_reader.GetCallLogs();
// Read in the Week 33 logs
KMLReader w33_reader = new KMLReader(ROOT_DIR + "data\\L_wk33_drops.kml");
Events[33] = w33_reader.GetCallLogs();
// Read in the Week 34 logs
KMLReader w34_reader = new KMLReader(ROOT_DIR + "data\\L_wk34_drops.kml");
Events[34] = w34_reader.GetCallLogs();
// Read in the Week 35 logs
KMLReader w35_reader = new KMLReader(ROOT_DIR + "data\\L_wk35_drops.kml");
Events[35] = w35_reader.GetCallLogs();
// Initialise the Multi-Week Analysis Object
Analysis = new MultiWeekAnalysis();
Analysis.AddRange(Events[32]);
Analysis.AddRange(Events[33]);
Analysis.AddRange(Events[34]);
Analysis.AddRange(Events[35]);
// Cluster the data
Analysis.Cluster(EPS, MIN_POINTS);
// Analyse all weeks
Analysis.AnalyseWeeks();
}
public IHttpActionResult Search([FromUri] SOWTrackSearchFilter filter)
{
string accessType = "TaskRoute_ViewAll";
ThrowIfUserHasNoRole(accessType);
if (filter == null)
{
throw new KairosException("Missing search filter parameter");
}
using (var trackSearch = new SOWTrackSearch(Db))
{
var data = trackSearch.GetDataByFilter(filter);
var xml = string.Empty;
var result = new object();
if (data.Records.Count > 0)
{
xml = data.Records[0].Route;
var kml = KMLReader.ConvertToKML(xml);
if (filter.Format == 0)
{
result = kml.GetCoordinates();
}
else
{
result = kml;
}
}
else
{
result = new List <object>();
}
return(Ok(result));
}
}
