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from dbaccess import execQuery, database
from singlecontextbmstats import (
SingleContextBMStats, extractSingleContextBMStats)
from misc import idToText, textToId, benchmarkToComponents, printJSONHeader,
getContext
class GetStats1:
def __init__(self, host, platform, branch, sha1, test_case_filter):
self.host = host
self.platform = platform
self.branch = branch
self.sha1 = sha1
self.test_case_filter = test_case_filter
self.host_id = textToId("host", host)
self.platform_id = textToId("platform", platform)
self.branch_id = textToId("branch", branch)
self.sha1_id = textToId("sha1", sha1)
def execute(self):
# self.overall_stats = self.computeOverallStats()
self.bmstats_list = self.computeBMStatsList()
self.writeOutput()
# ### THE COMMENTED-OUT CODE BELOW NEEDS TO BE ADAPTED TO THE
# ### CURRENT DATABASE SCHEMA!
# Computes and returns a dictionary of overall statistics.
# def computeOverallStats(self):
# stats = {}
# part1 = "SELECT count(*) FROM (SELECT DISTINCT "
# part3 = (
# " FROM result WHERE host = '" + self.host +
# "' AND platform = '" + self.platform +
# "' AND branch = '" + self.branch +
# "' AND sha1 = '" + self.sha1 + "' ")
# part4 = (") AS dummy;")
# # Distinct test cases:
# query_result = execQuery(part1 + "testCase" + part3 + part4)
# stats['tc_combs'] = query_result[0][0]
# # Distinct (test case, test function) combinations:
# query_result = execQuery(
# part1 + "testCase, testFunction" + part3 + part4)
# stats['tc_tf_combs'] = query_result[0][0]
# # Distinct (test case, test function, data tag) combinations:
# query_result = execQuery(
# part1 + "testCase, testFunction, dataTag" + part3 + part4)
# stats['tc_tf_dt_combs'] = query_result[0][0]
# # (test case, test function, data tag) combinations with at least
# # one failed value
# query_result = execQuery(
# part1 + "testCase, testFunction, dataTag" + part3 +
# "AND valid = false" + part4)
# stats['tc_tf_dt_failed'] = query_result[0][0]
# return stats
# Computes per-benchmark statistics. Returns an n-tuple of
# SingleContextBMStats objects.
def computeBMStatsList(self):
# Get the context
context = getContext(self.host_id, self.platform_id,
self.branch_id, self.sha1_id)
# Get all distinct benchmark/metric combinations matching the context:
bmark_metrics = execQuery("SELECT DISTINCT benchmarkId, metricId"
" FROM result WHERE contextId = %d;" % context)
bmstats_list = []
# Loop over benchmarks and compute stats:
for benchmark_id, metric_id in bmark_metrics:
benchmark = idToText("benchmark", benchmark_id)
test_case, test_function, data_tag = (
benchmarkToComponents(benchmark))
if ((self.test_case_filter != None)
and (not test_case in self.test_case_filter)):
continue
bmstats = extractSingleContextBMStats(
self.host_id, self.platform_id, self.branch_id, self.sha1_id,
benchmark_id, metric_id)
bmstats_list.append(bmstats)
return tuple(bmstats_list)
def writeOutputAsJSON(self):
printJSONHeader()
print "{"
# Context:
print "\"database\": \"" + database() + "\", "
print "\"host\": \"" + self.host + "\", "
print "\"platform\": \"" + self.platform + "\", "
print "\"branch\": \"" + self.branch + "\", "
print "\"sha1\": \"" + self.sha1 + "\""
# Overall stats:
# print ", \"tc_combs\": " + str(self.overall_stats['tc_combs'])
# print(
# ", \"tc_tf_combs\": " + str(self.overall_stats['tc_tf_combs']))
# print(
# ", \"tc_tf_dt_combs\": " +
# str(self.overall_stats['tc_tf_dt_combs']))
# print(
# ", \"tc_tf_dt_failed\": " +
# str(self.overall_stats['tc_tf_dt_failed']))
# ### 4 NOW:
print ", \"tc_combs\": \"-1\""
print ", \"tc_tf_combs\": \"-1\""
print ", \"tc_tf_dt_combs\": \"-1\""
print ", \"tc_tf_dt_failed\": \"-1\""
# Per-benchmark stats:
print ", \"per_bm_stats\": ["
first_row = True
for bmstats in self.bmstats_list:
if not first_row:
print ","
first_row = False
s_ntotal = str(bmstats.ntotal)
s_nvalid = str(bmstats.nvalid)
s_min = s_max = s_median = s_mean = s_stddev = s_rsd = s_rse = ""
if bmstats.nvalid > 0:
s_min = str(bmstats.min_)
s_max = str(bmstats.max_)
s_median = str(bmstats.median)
s_mean = str(bmstats.mean)
if bmstats.nvalid > 1:
s_stddev = str(bmstats.stddev)
if not bmstats.mean_is_zero:
s_rsd = "{0:.2f}".format(bmstats.rsd)
s_rse = "{0:.2f}".format(bmstats.rse)
s_metric = idToText("metric", bmstats.metric_id)
benchmark = idToText("benchmark", bmstats.benchmark_id)
s_test_case, s_test_function, s_data_tag = (
benchmarkToComponents(benchmark))
print "["
print "\"" + s_ntotal + "\", "
print "\"" + s_nvalid + "\", "
print "\"" + s_min + "\", "
print "\"" + s_max + "\", "
print "\"" + s_median + "\", "
print "\"" + s_mean + "\", "
print "\"" + s_stddev + "\", "
print "\"" + s_rsd + "\", "
print "\"" + s_rse + "\", "
for binval in bmstats.hist:
print "\"{0:.0f}\", ".format(binval)
print "\"" + s_metric + "\", "
print (
"\"" + s_test_case + ":" + s_test_function + "(" +
s_data_tag + ")\"")
print "]"
print "]"
print "}"
class GetStats1AsJSON(GetStats1):
def writeOutput(self):
self.writeOutputAsJSON()
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