def createimages(self, currentTime=None):
if currentTime is None:
currentTime = int(time.time())
if os.path.isfile(self.rrdfile):
myRRD = rrd.RRD(self.rrdfile, mode='r')
def1 = DEF(rrdfile=myRRD.filename, vname='Watt', dsName='power')
def2 = DEF(rrdfile=myRRD.filename, vname='Wh', dsName='energy')
vdef1 = VDEF(vname='maxpower', rpn='%s,MAXIMUM' % def1.vname)
vdef2 = VDEF(vname='avgpower', rpn='%s,AVERAGE' % def1.vname)
vdef3 = VDEF(vname='maxenergy', rpn='%s,MAXIMUM' % def2.vname)
cdef1 = CDEF(vname='Joule', rpn='%s,3600,*' % def2.vname)
area1 = AREA(defObj=def1, color='#006600', legend='Our Power')
area2 = AREA(defObj=cdef1, color='#006600', legend='Our Energy')
line1 = LINE(defObj=vdef1, color='#660000', legend='Our Maximum')
line2 = LINE(defObj=vdef2, color='#009900', legend='Our Average')
gprint1 = GPRINT(vdef2,'average power %6.0lf watt')
gprint2 = GPRINT(vdef1,'maximum power %6.0lf watt')
# setup the labels and definitions also setup
# the different file sizes
labels = ['power\ in\ Watt','energy\ in\ Joule']
definitions = [
[def1, vdef1, vdef2, area1, gprint1, gprint2, line1, line2],
[def2,cdef1, area2]]
#setup a dummpy image
g = Graph('dummpy.png', end=currentTime, color=self.colors,
imgformat='png')
for num in range(0, len(labels)):
g.vertical_label = labels[num]
g.data = definitions[num]
for t in self.times:
g.start = (currentTime - (t[0] * 60))
for size in self.sizes:
g.width = size[0][0]
g.height = size[0][1]
g.filename = self.graphfile+'_%s_%s_%s.png' % (
labels[num].split('\ ',1)[0],
t[1], size[1] )
g.write(debug=False)
area3 = AREA(defObj=def3, color='#BD4902', legend='Raw Data 2')
area4 = AREA(defObj=def4, color='#A32001', legend='Raw Data 1')
line1 = LINE(defObj=vdef1, color='#01FF13', legend='Average', stack=True)
# Let's configure some custom colors for the graph
ca = ColorAttributes()
ca.back = '#333333'
ca.canvas = '#333333'
ca.shadea = '#000000'
ca.shadeb = '#111111'
ca.mgrid = '#CCCCCC'
ca.axis = '#FFFFFF'
ca.frame = '#AAAAAA'
ca.font = '#FFFFFF'
ca.arrow = '#FFFFFF'
# Now that we've got everything set up, let's make a graph
startTime = endTime - 3 * month
g = Graph(graphfile,
start=startTime,
end=endTime,
vertical_label='data',
color=ca)
g.data.extend([def1, def2, def3, def4, vdef1, area4, area3, area2, area1])
g.write()
g.filename = graphfileLg
g.width = 800
g.height = 400
g.write()
ca.shadea = "#000000"
ca.shadeb = "#111111"
ca.mgrid = "#CCCCCC"
ca.axis = "#FFFFFF"
ca.frame = "#AAAAAA"
ca.font = "#FFFFFF"
ca.arrow = "#FFFFFF"
# Now that we've got everything set up, let's make a graph
g = Graph("dummy.png", end=endTime, vertical_label="Bits", color=ca)
g.data.extend([def1, def2, cdef1, cdef2, area2, area1])
g.title = '"In- and Out-bound Traffic Across Local Router"'
# g.logarithmic = ' '
# Iterate through the different resoltions for which we want to
# generate graphs.
for time, step in times:
# First, the small graph
g.filename = graphfile % (exampleNum, time)
g.width = 400
g.height = 100
g.start = endTime - time
g.step = step
g.write(debug=False)
# Then the big one
g.filename = graphfileLg % (exampleNum, time)
g.width = 800
g.height = 400
g.write()
def4 = DEF(rrdfile=myRRD.filename, vname='mydementia', dsName=ds4.name) vdef1 = VDEF(vname='myavg', rpn='%s,AVERAGE' % def1.vname) area1 = AREA(defObj=def1, color='#FFA902', legend='Raw Data 4') area2 = AREA(defObj=def2, color='#DA7202', legend='Raw Data 3') area3 = AREA(defObj=def3, color='#BD4902', legend='Raw Data 2') area4 = AREA(defObj=def4, color='#A32001', legend='Raw Data 1') line1 = LINE(defObj=vdef1, color='#01FF13', legend='Average', stack=True) # Let's configure some custom colors for the graph ca = ColorAttributes() ca.back = '#333333' ca.canvas = '#333333' ca.shadea = '#000000' ca.shadeb = '#111111' ca.mgrid = '#CCCCCC' ca.axis = '#FFFFFF' ca.frame = '#AAAAAA' ca.font = '#FFFFFF' ca.arrow = '#FFFFFF' # Now that we've got everything set up, let's make a graph startTime = endTime - 3 * month g = Graph(graphfile, start=startTime, end=endTime, vertical_label='data', color=ca) g.data.extend([def1, def2, def3, def4, vdef1, area4, area3, area2, area1]) g.write() g.filename = graphfileLg g.width = 800 g.height = 400 g.write()
ca.shadea = '#000000'
ca.shadeb = '#111111'
ca.mgrid = '#CCCCCC'
ca.axis = '#FFFFFF'
ca.frame = '#AAAAAA'
ca.font = '#FFFFFF'
ca.arrow = '#FFFFFF'
# Now that we've got everything set up, let's make a graph
g = Graph('dummy.png', end=endTime, vertical_label='Bits', color=ca)
g.data.extend([def1, def2, cdef1, cdef2, area2, area1])
g.title = '"In- and Out-bound Traffic Across Local Router"'
#g.logarithmic = ' '
# Iterate through the different resoltions for which we want to
# generate graphs.
for time, step in times:
# First, the small graph
g.filename = graphfile % (exampleNum, time)
g.width = 400
g.height = 100
g.start = endTime - time
g.step = step
g.write(debug=False)
# Then the big one
g.filename = graphfileLg % (exampleNum, time)
g.width = 800
g.height = 400
g.write()
def GenerateGraph():
data = db.GetDataHumidityRrd(10000)
#print len(data)
filename = 'humidity.rrd'
graphfile = 'humidity.png'
graphfileLg = 'humidity-large.png'
day = 24 * 60 * 60
week = 7 * day
month = day * 30
quarter = month * 3
half = 365 * day / 2
year = 365 * day
startTime = data[0][0] -1
endTime = data[-1][0]
step = 1000
maxSteps = int((endTime-startTime)/step)
# Let's create and RRD file and dump some data in it
dss = []
ds1 = DS(dsName='humidity', dsType='GAUGE', heartbeat=60)
dss.extend([ds1])
#week: RA:AVERAGE:0.5:6:336
#For Daily Graph, every 5 minute average for 24 hours:
#RRA:AVERAGE:0.5:1:288
rra1 = RRA(cf='AVERAGE', xff=0.5, steps=1, rows=1440)
#For Weekly Graph, every 30 minute average for 7 days:
#RRA:AVERAGE:0.5:6:336
#rra1 = RRA(cf='AVERAGE', xff=0.5, steps=6, rows=336)
#For Monthly Graph, every 2 hour average for 30 days:
#RRA:AVERAGE:0.5:24:360
#rra1 = RRA(cf='AVERAGE', xff=0.5, steps=32, rows=1080)
#For Yearly Graph, every 1 day average for 365 days:
#RRA:AVERAGE:0.5:288:365
#rra1 = RRA(cf='AVERAGE', xff=0.5, steps=96, rows=365)
rras = []
#rra1 = RRA(cf='AVERAGE', xff=0.5, steps=24, rows=1460)
rras.append(rra1)
myRRD = RRD(filename, ds=dss, rra=rras, start=startTime)
myRRD.create()
# let's generate some data...
currentTime = startTime
i = 0
for row in data:
timestamp = row[0]
value1 = row[1]
# lets update the RRD/purge the buffer ever 100 entires
i = i + 1
if i % 100 == 0:
myRRD.update(debug=False)
# when you pass more than one value to update buffer like this,
# they get applied to the DSs in the order that the DSs were
# "defined" or added to the RRD object.
myRRD.bufferValue(timestamp, value1)
# add anything remaining in the buffer
myRRD.update()
# Let's set up the objects that will be added to the graph
def1 = DEF(rrdfile=myRRD.filename, vname='anturi1', dsName=ds1.name)
vdef1 = VDEF(vname='myavg', rpn='%s,AVERAGE' % def1.vname)
sensor1 = LINE(defObj=def1, color='#4544FC', legend='anturi1')
line1 = LINE(defObj=vdef1, color='#01FF13', legend='Average', stack=True)
# Let's configure some custom colors for the graph
ca = ColorAttributes()
ca.back = '#000000'
ca.canvas = '#000000'
ca.shadea = '#000000'
ca.shadeb = '#111111'
ca.mgrid = '#CCCCCC'
ca.axis = '#FFFFFF'
ca.frame = '#AAAAAA'
ca.font = '#FFFFFF'
ca.arrow = '#FFFFFF'
# Now that we've got everything set up, let's make a graph
#startTime = endTime - 3 * month
g = Graph(graphfile, start=startTime, end=endTime, vertical_label='kosteus', color=ca)
g.data.extend([def1, vdef1, sensor1])
g.write()
g.filename = graphfileLg
g.width = 690
g.height = 300
g.write()
