m.connect('/schedule/add', controller='schedule:Schedule', action='Add')
m.connect('/schedule/delete', controller='schedule:Schedule', action='Delete')
m.connect('/map', controller='googlemap:MapView', action='MapView')
m.connect('/timeseries',
controller='timeseries:Timeseries',
action='Timeseries')
m.connect('/timeseries/data',
controller='timeseries:Timeseries',
action='TimeseriesData')
application = wsgi.WSGIApplication(m, debug=True)
def real_main():
run_wsgi_app(application)
def profile_main():
# This is the main function for profiling
import cProfile, pstats, StringIO, logging
prof = cProfile.Profile()
prof = prof.runctx('real_main()', globals(), locals())
print '<pre>'
stats = pstats.Stats(prof)
stats.sort_stats('cumulative')
stats.print_stats(80) # 80 = how many to print
action='uploadRRCSizes')
m.connect('/anonymous/rrc/uploadRRCInferenceSizes',
controller='RRCstates:RRCStates',
action='uploadRRCInferenceSizes')
# raw data for performing RRC inference
m.connect('/anonymous/rrc/uploadRRCInference',
controller='RRCstates:RRCStates',
action='uploadRRCInference')
# For backend instance, give it something that won't
# return a 500 error.
m.connect('/_ah/start', controller='about:About', action='About')
application = wsgi.WSGIApplication(m, debug=False)
def real_main():
run_wsgi_app(application)
def profile_main():
# This is the main function for profiling
import cProfile, pstats, StringIO, logging
prof = cProfile.Profile()
prof = prof.runctx('real_main()', globals(), locals())
print '<pre>'
stats = pstats.Stats(prof)
stats.sort_stats('cumulative')
stats.print_stats(80) # 80 = how many to print