def writeOutput(workdir, gpspoints):
activities = rkIO.parseIndexFile(workdir)
print('Writing KML document...')
kml = simplekml.Kml(name='Runkeeper Heatmap')
icon = 'http://maps.google.com/mapfiles/kml/shapes/shaded_dot.png'
#icon = 'http://maps.google.com/mapfiles/kml/shapes/placemark_circle.png'
scale = 0.45
footstyle = simplekml.Style()
footstyle.iconstyle.icon.href = icon
footstyle.iconstyle.scale = scale
footstyle.iconstyle.color = simplekml.Color.lightgreen
bikestyle = simplekml.Style()
bikestyle.iconstyle.icon.href = icon
bikestyle.iconstyle.scale = scale
bikestyle.iconstyle.color = simplekml.Color.aqua
otherstyle = simplekml.Style()
otherstyle.iconstyle.icon.href = icon
otherstyle.iconstyle.scale = scale
otherstyle.iconstyle.color = simplekml.Color.red
for i,gpspoint in enumerate(gpspoints):
pt = kml.newpoint(coords = [(gpspoint.lon, gpspoint.lat)])
try:
method = activities[gpspoint.activity]['Type']
except:
import pdb;pdb.set_trace()
pass
if method == 'Running' or method == 'Hiking' or method == 'Walking':
pt.style = footstyle
elif method == 'Cycling':
pt.style = bikestyle
else:
pt.style = otherstyle
kml.save(workdir + os.sep + 'out.kml')
def processPoints(workdir, points):
# Get unique activity types
activities = rkIO.parseIndexFile(workdir)
types = set([a['Type'] for a in activities])
types = [i for i in types]
# Filter points into activity types
filteredpoints = []
for t in types:
filteredpoints.append([point for i,point in enumerate(points) if activities[point.activity]['Type'] == t])
points = []
for i in range(len(types)):
# Remove points within a specified distance
print("Filtering type '" + types[i] + "'")
n0 = len(filteredpoints[i])
filteredpoints[i] = GPSPoint.removeWithinRange(filteredpoints[i], 20, verbose=True)
n1 = len(filteredpoints[i])
print('Pass 1 kept ' + str(n1) + '/' + str(n0))
points.extend(filteredpoints[i])
return points
if __name__ == '__main__':
try:
import timeit
#workdir = tempfile.mkdtemp(prefix='RKWorking_')
workdir = os.getcwd() + os.sep + 'work'
#r"C:\Users\wkulp\Documents\GitHub\RunkeeperMapper\data"
print('Working dir: ' + workdir)
rkIO.loadArchive(workdir, 'data' + os.sep + 'data-2013-10-09-1728.zip')
# Read the master activity list
activities = rkIO.parseIndexFile(workdir)
# Parse each GPX file into points
print('Processing GPS track files')
nprocs = cpu_count()
print('Using ' + str(nprocs) + " CPU cores...")
#points = rkIO.sp_readAllPoints(activities, workdir, spatialFilterDistance = 20)
points = rkIO.mp_readAllPoints(nprocs, activities, workdir, spatialFilterDistance = 20)
GPSPoint.savePoints(workdir, points, 'rawpoints.csv')
points = processPoints(workdir, points)
GPSPoint.savePoints(workdir, points, 'processedpoints.csv')
points = GPSPoint.loadPoints(workdir, 'processedpoints.csv')
writeOutput(workdir, points)
