In [1]:
%matplotlib inline
import matplotlib.pyplot as plt
from networkx import *
from pyot.rplApp import *
from pyot.models import *
from IPython.display import Image, display
from networkx.algorithms import *
import numpy as np
import django
django.setup()
def pngShow(path):
i = Image(filename=path)
display(i)
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actuators = Resource.objects.filter(uri='/actuators/toggle', host__active=True)
for i in range(2):
print 'run', i
for act in actuators:
act.POST(query="mode=off")
print 'toggling res: ' + str(act)
for act in actuators:
act.POST(query="mode=on")
print 'toggling res: ' + str(act)
print 'Done'
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actuators = Resource.objects.filter(uri='/actuators/toggle', host__active=True)
for i in range(2):
tasks = []
for act in actuators:
tasks.append(act.asyncPOST(query="mode=on"))
print 'toggling res: ' + str(act)
for task in tasks:
task.wait()
print task.result
print 'Done'
tasks = []
for act in actuators:
tasks.append(act.asyncPOST(query="mode=off"))
print 'toggling res: ' + str(act)
for task in tasks:
task.wait()
print task.result
print 'Done'
In [2]:
r = Resource.objects.filter(uri='/sensors/light', host__active=True)
print r
y = []
y2 = []
for light in r:
resp= light.GET()
v = resp.content
print light, v
y.append(int(v.split(';')[0]))
y2.append(int(v.split(';')[1]))
#plot everything
x = np.arange(len(r))
fig, axes = plt.subplots(nrows=1, ncols=2)
axes[0].bar(x, y, align="center", width=0.5, alpha=0.5)
axes[0].set_xlabel('Nodes')
axes[0].set_ylabel('lux')
axes[0].set_ylim(0, 300)
axes[0].set_title('Light sensor value 1')
axes[1].bar(x, y2, align="center", width=0.5, alpha=0.5)
axes[1].set_xlabel('Nodes')
axes[1].set_ylabel('lux')
axes[1].set_ylim(0, 300)
axes[1].set_title('Light sensor value 2')
fig.tight_layout()
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n = Network.objects.get(hostname='cooja@pyot')
g = DAGupdate(n)
pngShow(g.getPNG())
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