def status_init(self):
super(SignatureShowOption, self).init()
self.build_gui()
try:
with open(self.signature_file, 'r') as f:
file_content = json.loads(f.read())
except (IOError, ValueError):
file_content = {}
for k, v in file_content.iteritems():
print k
states = v["states"]
for n, pos in states.iteritems():
if n.lower() == "off":
continue
self.power_scatter.addPoints(
brush=qt.brush(255, 255, 255, 255),
pos=[pos], size=10)
text = qt.text(k+'/'+n, anchor=(0.5, 0))
text.setPos(pos[0], pos[1]-0.5)
self.power_plot.addItem(text)
self.status = self.STATUS.WAIT
def plot_clusterized(self, predictions):
self.power_scatter.setData(
self.real_power_data, self.reac_power_data,
brush=qt.mk_colored_brushes(100, predictions),
size=10)
self.power_scatter.addPoints(pos=self.prototypes,
brush=qt.brush(255, 255, 255, 255), size=7)
def status_collecting(self):
data = self.unpack_line(self.monitor.stdout.readline())
new_real = data[3]
new_reac = data[4]
v_real = new_real - self.curr_real
v_reac = new_reac - self.curr_reac
print "C: (%.3f, %.3f) N: (%.3f, %.3f) V: (%.3f, %.3f)" % (
self.curr_real, self.curr_reac,
new_real, new_reac,
v_real, v_reac)
# if self.new_transition(new_real, new_reac):
if self.process_new_transition(v_real, v_reac):
self.curr_real = new_real
self.curr_reac = new_reac
self.update_status_text()
self.update_classifier()
print ''
# Plot power scatter
self.real_power_data.append(new_real)
self.reac_power_data.append(new_reac)
l = len(self.real_power_data)
self.power_scatter.setData(
self.real_power_data, self.reac_power_data,
brush=self.power_scatter_brushes[-l:])
self.power_plot.setXRange(0, max(self.real_power_data))
self.power_plot.setYRange(0, max(self.reac_power_data))
# Plot signature scatter
sign_real, sign_reac = zip(*self.classifier_instances)
min_real, max_real = min(sign_real), max(sign_real)
min_reac, max_reac = min(sign_reac), max(sign_reac)
min_real = min(min_real, v_real)
max_real = max(max_real, v_real)
min_reac = min(min_reac, v_reac)
max_reac = max(max_reac, v_reac)
self.sign_plot.clear()
self.sign_plot.addItem(self.sign_scatter)
self.sign_scatter.setData(
pos=self.classifier_instances,
brush=qt.brush(255, 255, 255, 255),
size=5)
for text in self.classifier_texts:
self.sign_plot.addItem(text)
self.sign_scatter.addPoints(pos=[[v_real, v_reac]],
brush=qt.brush(255, 0, 0, 255),
size=5)
self.sign_plot.setXRange(min_real, max_real)
self.sign_plot.setYRange(min_reac, max_reac)
