def main(**args):
print args
# Stage exams
aud = exam.Auditor(processes=args['p'])
for test in args['test']:
test_type = getattr(sys.modules[exam.__name__], test)
aud.stage(test_type,
min_time=args['s'],
min_hosts=args['N'],
waynesses=args['waynesses'],
aggregate=args['a'],
ignore_status=args['ignore_status'])
print 'Staging test: ' + test_type.__name__
# Compute metrics for exams
aud.run(get_filelist(args['start'], args['end'], pickles_dir=args['dir']))
# Test metrics for pass/fail. Print results
failed_jobs = {}
for test in args['test']:
if len(args['t']) > 1: threshold = args['t'][args['test'].index(test)]
else: threshold = args['t']
test_type = getattr(sys.modules[exam.__name__], test)
aud.test(test_type, threshold)
failed_jobs[test_type.__name__] = test_report(aud, test_type)
# Make plots if desired
if not args['plot']: return failed_jobs
for test in args['test']:
if len(args['t']) > 1: threshold = args['t'][args['test'].index(test)]
else: threshold = args['t']
test_type = getattr(sys.modules[exam.__name__], test)
plotter = plot.MasterPlot(header='Failed test: ' + test_type.__name__,
prefix=test_type.__name__,
outdir=args['o'],
processes=args['p'],
threshold=threshold,
wide=args['wide'],
save=True)
plotter.run(failed_jobs[test_type.__name__])
return failed_jobs
def masterplot_test():
plotter = plots.MasterPlot(mode='lines',
outdir='.',
prefix='imbalance',
header='Potentially Imbalanced',
lariat_data='pass',
wide=True,
save=True)
plotter.plot(filelist[0])
assert os.path.isfile(plotter.outdir + '/' + plotter.fname + '.pdf')
os.remove(plotter.fname + '.pdf')
plotter.mode = 'percentile'
plotter.header = 'Potentially Imbalanced (%)'
plotter.plot(filelist[0])
assert os.path.isfile(plotter.outdir + '/' + plotter.fname + '.pdf')
os.remove(plotter.fname + '.pdf')
plotter.mode = 'lines'
plotter.prefix = 'step'
plotter.header = 'Step Function Performance'
plotter.plot(filelist[0])
assert os.path.isfile(plotter.outdir + '/' + plotter.fname + '.pdf')
os.remove(plotter.fname + '.pdf')
def master_plot(request, pk):
data = get_data(pk)
mp = plots.MasterPlot()
mp.plot(pk, job_data=data)
return figure_to_response(mp)
def master_plot(pk):
data = get_data(pk)
mp = plots.MasterPlot()
return components(mp.plot(data))