def handle(self):
# self.rfile is a file-like object created by the handler;
# we can now use e.g. readline() instead of raw recv() calls
self.data="";
while(self.data != "QUIT"):
self.data = self.rfile.readline().strip()
C=self.data.split();
if C[0] == "GET":
T = trajcomp.get(int(C[1]))
self.wfile.write(json.dumps(T)+"\n")
if C[0] == "SUBSETCORR":
answer = top_k_subset_correlation(C[1:]);
self.wfile.write(json.dumps(answer)+"\n");
if C[0] == "JACCARD":
answer = top_k_jaccard(C[1:]);
self.wfile.write(json.dumps(answer)+"\n");
if C[0] == "JACCARDID":
answer = top_k_jaccard_id(int(C[1]));
self.wfile.write(json.dumps(answer)+"\n");
if C[0] == "INTERSECT":
#print C[1:];
answer = top_k_intersect(C[1:]);
self.wfile.write(json.dumps(answer)+"\n");
if C[0] == "DBSCAN":
print C[1:];
answer = dbscan_segmentation(C[1], C[2], C[3]);
self.wfile.write(json.dumps(answer)+"\n");
if C[0] == "DOUGLAS":
print "Backendserver";
print C[1:];
T = trajcomp.douglas_peucker_online(C[1],float(C[2]));
print "Result DP";
print T;
self.wfile.write(json.dumps(T)+"\n");
if C[0] == "RESAMPLE":
print "Resample backend";
print C[1:];
answer = resample_traj(C[1], int(C[2]));
self.wfile.write(json.dumps(answer)+"\n");
if C[0] == "THRESHOLD":
print "Threshold backend";
print C[1:];
T = trajcomp.threshold(float(C[1]), float(C[2]), "../TestTraj.csv", "../TestTrajTimes.csv");
self.wfile.write(json.dumps(T)+"\n");
if C[0] == "PERSISTENCE":
print "Peristence backend";
print C[1:];
T = trajcomp.persistence(float(C[1]), "../TestTraj.csv", "../TestTrajTimes.csv");
self.wfile.write(json.dumps(T)+"\n");
if C[0] == "GETGID":
print "GETID backend";
print C[1:];
T = getID(C[1]);
self.wfile.write(json.dumps(T)+"\n");
if self.data=="HELO":
self.wfile.write("HELO too\n");
if self.data=="KILL":
self.server.shutdown();
self.data="QUIT";
def printfig(name,traj):
C=trajcomp.get(traj);
X = map(itemgetter(0), C) ;
Y = map(itemgetter(1), C);
plt.clf();
fig, ax1 = plt.subplots()
ax1.plot(X, Y, '-o')
ax1.set_xlabel('X')
ax1.set_ylabel('Y')
#plt.show()
plt.savefig(name)
from operator import itemgetter
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
A=trajcomp.load("../../data/prague1.dat");
print "Reference is " + str(A)
# list of lists is suboptimal, but does not depend on numpy
for i in range(1,150):
epsilon = i/10.0;
epsilon = epsilon * epsilon;
print epsilon;
B = trajcomp.douglas_peucker(A,epsilon);
trajcomp.summary(B);
C =trajcomp.get(B)
X = map(itemgetter(0), C) ;
Y = map(itemgetter(1),C);
plt.clf();
fig, ax1 = plt.subplots()
ax1.plot(X, Y, '-o')
ax1.set_xlabel('X')
ax1.set_ylabel('Y')
ax2 = ax1.twinx()
plt.ylim(ymax=(15*15),ymin=0);
space=abs(max(X)-min(X))/20;
ax2.bar(max(X)+2*space,epsilon,width=space);
import trajcomp;
from operator import itemgetter
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
print ("Loading first set of GeoLife Dataset");
A=trajcomp.geolife(15,"/home/martin/datasets/geolife/")
handles = range(A,trajcomp.size());
print "Found " + str(trajcomp.size())
xlimit = [39.689602,40.122410]
ylimit = [116.105789,116.670021]
# list of lists is suboptimal, but does not depend on numpy
for i in handles:
A=trajcomp.get(i);
trajcomp.summary(i);
X = map(itemgetter(0), A) ;
Y = map(itemgetter(1),A);
#plt.clf()
plt.plot(X, Y, '-')
# Grossraum
# plt.xlim([39.75,40.05]);
# plt.ylim([116.116,116.667]);
plt.xlim(xlimit);
plt.ylim(ylimit)
#plt.show()
plt.savefig(("frame-%04d.png" % i), bbox_inches='tight')