def parse_most_cgi_args(self):
self.myurl = os.path.basename(sys.argv[0])
self.cgiform = cgi.FieldStorage(keep_blank_values=True)
self.size = self.cgiform.getvalue('size', '1200,850')
all_toggles = set(('absolute', 'regress', 'dark', 'by_hosts'))
self.toggles = set(tog for tog in all_toggles if tog in self.cgiform)
platforms = self.cgiform.getvalue('platforms', '')
if '.' in platforms:
self.toggles.add('by_hosts')
self.passthru = list(self.toggles)
self.relative = 'absolute' not in self.toggles
if platforms:
self.passthru.append('platforms=%s' % platforms)
self.platforms_filter = platforms.split(',')
else:
self.platforms_filter = []
self.test_attributes = perf.parse_test_attr_args(self.cgiform)
perf.append_cgi_args(self.passthru, self.test_attributes)
test = self.cgiform.getvalue('test', '')
if 'antag' in self.cgiform:
antagonists = ','.join(self.cgiform.getlist('antag'))
# antag=*
# or antag=test1,test2,test3,...
# or antag=test1&antag=test2&...
# testN is empty for solo case of no antagonist
self.passthru.append('antag=%s' % antagonists)
else:
antagonists = None # not same as ''
return test, antagonists
def parse_most_cgi_args(self):
self.myurl = os.path.basename(sys.argv[0])
self.cgiform = cgi.FieldStorage(keep_blank_values=True)
self.size = self.cgiform.getvalue('size', '1200,850')
all_toggles = set(('absolute', 'regress', 'dark', 'by_hosts'))
self.toggles = set(tog for tog in all_toggles if tog in self.cgiform)
platforms = self.cgiform.getvalue('platforms', '')
if '.' in platforms:
self.toggles.add('by_hosts')
self.passthru = list(self.toggles)
self.relative = 'absolute' not in self.toggles
if platforms:
self.passthru.append('platforms=%s' % platforms)
self.platforms_filter = platforms.split(',')
else:
self.platforms_filter = []
self.test_attributes = perf.parse_test_attr_args(self.cgiform)
perf.append_cgi_args(self.passthru, self.test_attributes)
test = self.cgiform.getvalue('test', '')
if 'antag' in self.cgiform:
antagonists = ','.join(self.cgiform.getlist('antag'))
# antag=*
# or antag=test1,test2,test3,...
# or antag=test1&antag=test2&...
# testN is empty for solo case of no antagonist
self.passthru.append('antag=%s' % antagonists)
else:
antagonists = None # not same as ''
return test, antagonists
def table_variants_all_tests(plot_data, columns, colkeys, benchmarks, myurl,
filtered_passthru):
# generate html table of graph's numbers
# for primary metric over all benchmarks (rows),
# on one platform and one kernel,
# over various combos of test run attribute constraints (cols).
ref_thresholds = {}
print "<table border=1 cellpadding=3 cellspacing=0>"
print "<tr> <td><b> Benchmark </b></td>",
for col in columns:
print "<td><b>", colkeys[col].replace(',', ',<br>'), "</b></td>"
print "</tr>"
for benchmark in benchmarks:
print "<tr> <td><b>", benchmark, "</b></td>"
for col in columns:
print "<td>",
vals = plot_data[col].get(benchmark, [])
if not vals:
print "?",
else:
(avg, std_dev) = plotgraph.avg_dev(vals)
args = filtered_passthru[:]
perf.append_cgi_args(args, {'test': benchmark})
for keyval in colkeys[col].split(','):
key, val = keyval.split('=', 1)
perf.append_cgi_args(args, {key: val})
print "<a href='%s?%s&runs&attrs'>" % (myurl, '&'.join(args))
print "<b>%.4g</b>" % avg, "</a><br>",
print " <small> %dr </small>" % len(vals),
print " <small> %.3g </small>" % std_dev,
print "</td>"
print "</tr>\n"
print "</table>"
print "<p> <b>Bold value:</b> Average of this metric, then <br>"
print "number of good test runs, then standard deviation of those runs"
def table_1_metric_all_kernels(plot_data, columns, column_argname,
kernels, kernel_dates,
myurl, filtered_passthru):
# generate html table of graph's numbers
# for 1 benchmark metric over all kernels (rows),
# over various platforms or various antagonists etc (cols).
ref_thresholds = {}
print "<table border=1 cellpadding=3 cellspacing=0>"
print "<tr> <td><b> Kernel </b></td>",
for label in columns:
if not label and column_argname == 'antag':
label = 'no antag'
print "<td><b>", label.replace('_', '<br>_'), "</b></td>"
print "</tr>"
for kernel in kernels:
print "<tr> <td><b>", kernel, "</b>",
if kernel in kernel_dates:
print "<br><small>", kernel_dates[kernel], "</small>"
print "</td>"
for col in columns:
print "<td",
vals = plot_data[col].get(kernel, [])
if not vals:
print "> ?",
else:
(avg, std_dev) = plotgraph.avg_dev(vals)
if col not in ref_thresholds:
ref_thresholds[col] = avg - std_dev
if avg+std_dev < ref_thresholds[col]:
print "bgcolor=pink",
print "> ",
args = filtered_passthru[:]
perf.append_cgi_args(args,
{column_argname:col, 'kernel':kernel})
print "<a href='%s?%s&runs&attrs'>" % (myurl,
'&'.join(args))
print "<b>%.4g</b>" % avg, "</a><br>",
print " <small> %dr </small>" % len(vals),
print " <small> %.3g </small>" % std_dev,
print "</td>"
print "</tr>\n"
print "</table>"
print "<p> <b>Bold value:</b> Average of this metric, then <br>"
print "number of good test runs, then standard deviation of those runs"
print "<br> Pink if regressed from reference kernel"
def table_1_metric_all_kernels(plot_data, columns, column_argname, kernels,
kernel_dates, myurl, filtered_passthru):
# generate html table of graph's numbers
# for 1 benchmark metric over all kernels (rows),
# over various platforms or various antagonists etc (cols).
ref_thresholds = {}
print "<table border=1 cellpadding=3 cellspacing=0>"
print "<tr> <td><b> Kernel </b></td>",
for label in columns:
if not label and column_argname == 'antag':
label = 'no antag'
print "<td><b>", label.replace('_', '<br>_'), "</b></td>"
print "</tr>"
for kernel in kernels:
print "<tr> <td><b>", kernel, "</b>",
if kernel in kernel_dates:
print "<br><small>", kernel_dates[kernel], "</small>"
print "</td>"
for col in columns:
print "<td",
vals = plot_data[col].get(kernel, [])
if not vals:
print "> ?",
else:
(avg, std_dev) = plotgraph.avg_dev(vals)
if col not in ref_thresholds:
ref_thresholds[col] = avg - std_dev
if avg + std_dev < ref_thresholds[col]:
print "bgcolor=pink",
print "> ",
args = filtered_passthru[:]
perf.append_cgi_args(args, {
column_argname: col,
'kernel': kernel
})
print "<a href='%s?%s&runs&attrs'>" % (myurl, '&'.join(args))
print "<b>%.4g</b>" % avg, "</a><br>",
print " <small> %dr </small>" % len(vals),
print " <small> %.3g </small>" % std_dev,
print "</td>"
print "</tr>\n"
print "</table>"
print "<p> <b>Bold value:</b> Average of this metric, then <br>"
print "number of good test runs, then standard deviation of those runs"
print "<br> Pink if regressed from reference kernel"
def table_variants_all_tests(plot_data, columns, colkeys, benchmarks,
myurl, filtered_passthru):
# generate html table of graph's numbers
# for primary metric over all benchmarks (rows),
# on one platform and one kernel,
# over various combos of test run attribute constraints (cols).
ref_thresholds = {}
print "<table border=1 cellpadding=3 cellspacing=0>"
print "<tr> <td><b> Benchmark </b></td>",
for col in columns:
print "<td><b>", colkeys[col].replace(',', ',<br>'), "</b></td>"
print "</tr>"
for benchmark in benchmarks:
print "<tr> <td><b>", benchmark, "</b></td>"
for col in columns:
print "<td>",
vals = plot_data[col].get(benchmark, [])
if not vals:
print "?",
else:
(avg, std_dev) = plotgraph.avg_dev(vals)
args = filtered_passthru[:]
perf.append_cgi_args(args, {'test':benchmark})
for keyval in colkeys[col].split(','):
key, val = keyval.split('=', 1)
perf.append_cgi_args(args, {key:val})
print "<a href='%s?%s&runs&attrs'>" % (myurl,
'&'.join(args))
print "<b>%.4g</b>" % avg, "</a><br>",
print " <small> %dr </small>" % len(vals),
print " <small> %.3g </small>" % std_dev,
print "</td>"
print "</tr>\n"
print "</table>"
print "<p> <b>Bold value:</b> Average of this metric, then <br>"
print "number of good test runs, then standard deviation of those runs"
