This is a project to develop a framework for context generation in mobile emulators for testing and evaluation of mobile apps. ContextMonkey is a Python based framework that simulates context scenarios by leveraging traces from various sources such as trace databases (like Google StreetView, OpenSignal Maps), models & libraries (like Bonnmotion and SUMO), and trace files in an interdependent and correlated manner. ContextMonkey has integrated support for context generation in stock based Android and Genymotion emulator. The framework is intended for experimental use only.
Manoj R. Rege <rege@tkn.tu-berlin.de>
A brief overview of what this code does can be found in the paper
A detailed version is available at
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The below example generates a location dependent camera context simulation in the Stock Android Emulator:
#!/usr/bin/env python
import contextmonkey.ContextMonkeyEngine as engine
import contextmonkey.ContextSimulation as sim
from contextmonkey.contextmodel.Datasource import Database
from contextmonkey.contextmodel.DataSource import Tracefile
from contextmonkey.Contextmodel import PhysicalContextModality
from contextmonkey.Emulator import Emulator
#Define modalities and data-sources
dsnet = Database(queryparameterlist=['lat','lng','distance','network_type','apikey'], keymapping = dict(lat='latitude',lng='longitude'), datasourceformat = "json", url='http://api.opensignal.com/v2/networkstats.json', queryparameters=dict(lat = "37.7907",lng = "-122.4058",distance = "20",network_type = "3",apikey = "@@@@@@@@@"),fetchtype="HTTP")
netmod = PhysicalContextModality(name = 'network', samplingrate = 0.01, feedrate = 0.01, datasource = dsnet, traceprocessing="OpenSignalNetworkModify", tracevector=['name', 'rssi', 'averageRssiDb', 'downloadSpeed', 'uploadSpeed', 'pingTime'])
tfloc = TraceFile(datasourcetype = 'file', datasourceformat = 'text', path=tracefilepath, header = 'true',length=100)
locmod = PhysicalContextModality(name = 'gps', samplingrate = 0.01, feedrate = 0.01, datasource = tfloc, tracevector=['accuracy', 'altitude', 'bearing', 'latitude', 'longitude', 'status'],traceprocessing="LocationModify")
dbcam = Database(queryparameterlist=['size','location','heading','pitch','key'],keymapping=dict(size="600x400",location="latitude,longitude",heading="151.78",pitch="-0.76"), datasourcetype="database",datasourceformat="binary",url='https://maps.googleapis.com/maps/api/streetview',queryparameters=dict(size = "640x480",location = "46.414382,10.013988",heading = "151.78",pitch = "-0.76"),extension='jpg',fetchtype="HTTPS")
cammod= PhysicalContextModality(name='camera',samplingrate=0.01,feedrate=0.01,datasource=dbcam,tracevector= ['image','original','encoded','camera_type'],traceprocessing="StreetViewModify")
#Create a Context Model
sim.addModality([cammod,locmod,nwmod])
sim.createContextGraph(locmod.name,netmod.name,cammod.name e0=(locmod.name,netmod.name),e1=(locmod.name,camod.name))
#Add an emulator
emulator = Emulator('Android',{'addr':'127.0.0.1:5554'})
sim.addEmulator(emulator)
# Start the simulation
sim.runTime(600)
engine.start()