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import sys
import json
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()
bmstats_list = self.computeBMStatsList()
self.per_bm_stats = []
for stats in bmstats_list:
s_min = s_max = s_median = s_mean = s_stddev = s_rsd = s_rse = ""
if stats.nvalid > 0:
s_min = str(stats.min_)
s_max = str(stats.max_)
s_median = str(stats.median)
s_mean = str(stats.mean)
if stats.nvalid > 1:
s_stddev = str(stats.stddev)
if not stats.mean_is_zero:
s_rsd = "{0:.2f}".format(stats.rsd)
s_rse = "{0:.2f}".format(stats.rse)
s_metric = idToText("metric", stats.metric_id)
benchmark = idToText("benchmark", stats.benchmark_id)
binvals = []
for binval in stats.hist:
binvals.append("{0:.0f}".format(binval))
self.per_bm_stats.append(
[ stats.ntotal,
stats.nvalid,
s_min,
s_max,
s_median,
s_mean,
s_stddev,
s_rsd,
s_rse ]
+ binvals
+ [ idToText("metric", stats.metric_id),
idToText("benchmark", stats.benchmark_id) ]
)
self.writeOutput()
# 2 B DONE:
# Computes and returns a dictionary of overall statistics.
# def computeOverallStats(self):
# stats = {}
# # Distinct test cases:
# ......
# # Distinct (test case, test function) combinations:
# ......
# # Distinct (test case, test function, data tag) combinations:
# ......
# # (test case, test function, data tag) combinations with at least
# # one failed value
# ......
# return stats
# Computes per-benchmark statistics. Returns an n-tuple of
# SingleContextBMStats objects.
def computeBMStatsList(self):
# Get the context:
context_id = 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 = %s", (context_id,))
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(
context_id, benchmark_id, metric_id)
bmstats_list.append(bmstats)
return tuple(bmstats_list)
def writeOutputAsJSON(self):
printJSONHeader()
json.dump({
'database': database(),
'host': self.host,
'platform': self.platform,
'branch': self.branch,
'sha1': self.sha1,
'tc_combs': -1,
'tc_tf_combs': -1,
'tc_tf_dt_combs': -1,
'tc_tf_dt_failed': -1,
'per_bm_stats': self.per_bm_stats
}, sys.stdout)
class GetStats1AsJSON(GetStats1):
def writeOutput(self):
self.writeOutputAsJSON()
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