def testLoadData(self):
msp = MileSplitParser()
msp.loadData('../resources/January_Test.tsv')
laps = msp.getData(MileSplitParser.LAPS)
self.assertNotEquals(None, laps)
self.assertNotEquals(0, len(laps))
for lap in laps.values():
self.assertNotEqual(0, lap.id)
self.assertNotEqual(0, lap.activityId)
self.assertNotEqual(None, lap.lap)
self.assertNotEqual(0, lap.totalTime)
self.assertNotEqual(0, lap.totalDistance)
self.assertNotEqual(0, lap.avgHR)
lapsToTracks = msp.getData(MileSplitParser.TRACKSTOLAPS)
self.assertNotEquals(None, lapsToTracks)
self.assertNotEquals(0, len(lapsToTracks))
trackPoints = msp.getData(MileSplitParser.TRACKPOINTS)
self.assertNotEquals(None, trackPoints)
self.assertNotEquals(0, len(trackPoints))
for trackPoint in trackPoints:
self.assertNotEquals(0, trackPoint.id)
self.assertNotEquals(0, trackPoint.trackId)
self.assertNotEquals(None, trackPoint.time)
self.assertNotEquals(0, trackPoint.lat)
self.assertNotEquals(0, trackPoint.long)
self.assertNotEquals(0, trackPoint.altitude)
self.assertNotEquals(0, trackPoint.heartRate)
def testLoadData(self):
msp = MileSplitParser()
msp.loadData('../resources/January_Test.tsv')
laps = msp.getData(MileSplitParser.LAPS);
self.assertNotEquals(None,laps)
self.assertNotEquals(0,len(laps))
for lap in laps.values():
self.assertNotEqual(0,lap.id)
self.assertNotEqual(0,lap.activityId)
self.assertNotEqual(None,lap.lap)
self.assertNotEqual(0,lap.totalTime)
self.assertNotEqual(0,lap.totalDistance)
self.assertNotEqual(0,lap.avgHR)
lapsToTracks = msp.getData(MileSplitParser.TRACKSTOLAPS)
self.assertNotEquals(None,lapsToTracks)
self.assertNotEquals(0,len(lapsToTracks))
trackPoints = msp.getData(MileSplitParser.TRACKPOINTS)
self.assertNotEquals(None,trackPoints)
self.assertNotEquals(0,len(trackPoints))
for trackPoint in trackPoints:
self.assertNotEquals(0,trackPoint.id)
self.assertNotEquals(0,trackPoint.trackId)
self.assertNotEquals(None,trackPoint.time)
self.assertNotEquals(0,trackPoint.lat)
self.assertNotEquals(0,trackPoint.long)
self.assertNotEquals(0,trackPoint.altitude)
self.assertNotEquals(0,trackPoint.heartRate)
def testInitializeCentroids(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
centroids = gdf.initializeCentroids(4)
self.assertEqual(4,len(centroids))
def testGenerateRandomCentroids(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
cent1 = gdf.generateRandomCentroid("foobar")
cent2 = gdf.generateRandomCentroid("foobar1")
self.assertFalse(gdf.inErrorRange(cent1, cent2))
def testInitializeGarminDataFilter(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
assembledData = gdf.getAssembledData()
self.assertNotEqual(None,assembledData)
self.assertEqual(11,len(assembledData))
for data in assembledData:
self.assertNotEqual(clusterdata.UNSET,data.netGained)
self.assertNotEqual(clusterdata.UNSET,data.netLost)
def testGetNormalizedMeasure(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
lo = gdf.loRanges[3]
hi = gdf.hiRanges[3]
range = hi - lo
val = lo + range/2
retVal = gdf.getNormalizedMeasure(100, val, 3)
self.assertEquals(50.0,retVal)
def testInErrorRange(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
lap1 = GarminLap.asLap(1,600,100,120,12,30)
lap2 = GarminLap.asLap(2,400,300,150,123,300)
self.assertFalse(gdf.inErrorRange(lap1, lap2))
lap1 = GarminLap.asLap(1,600,100,120,12,30)
lap2 = GarminLap.asLap(2,600,100,120,12,30)
self.assertTrue(gdf.inErrorRange(lap1, lap2))
if(len(sys.argv) < 2):
print "clusterDriver.py [input file] {comma separated filter list}"
sys.exit(1)
allFilters = []
if(len(sys.argv) == 3):
filterBy=sys.argv[2];
allFilters = filterBy.split(',')
else:
allFilters = []
allData = msp.getData(sys.argv[1])
km = kmeans.KmeansClusterer(4)
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
clustersByCentroid = km.cluster(gdf)
for k, v in clustersByCentroid.items():
print "------------------"
print "cluster data avg values"
k.prettyPrint()
print "%d cluster members"%len(v)
if(len(v) == 1):
v[0].prettyPrint
