diff options
| -rw-r--r-- | tools/perf/tests/shell/lib/perf_metric_validation.py | 129 |
1 files changed, 83 insertions, 46 deletions
diff --git a/tools/perf/tests/shell/lib/perf_metric_validation.py b/tools/perf/tests/shell/lib/perf_metric_validation.py index 3c3a9b4f8b82..50a34a9cc040 100644 --- a/tools/perf/tests/shell/lib/perf_metric_validation.py +++ b/tools/perf/tests/shell/lib/perf_metric_validation.py @@ -11,8 +11,9 @@ class Validator: self.rulefname = rulefname self.reportfname = reportfname self.rules = None - self.collectlist=metrics - self.metrics = set(metrics) + self.collectlist:str = metrics + self.metrics = self.__set_metrics(metrics) + self.skiplist = set() self.tolerance = t self.workloads = [x for x in workload.split(",") if x] @@ -41,6 +42,12 @@ class Validator: self.debug = debug self.fullrulefname = fullrulefname + def __set_metrics(self, metrics=''): + if metrics != '': + return set(metrics.split(",")) + else: + return set() + def read_json(self, filename: str) -> dict: try: with open(Path(filename).resolve(), "r") as f: @@ -113,7 +120,7 @@ class Validator: All future test(s) on this metric will fail. @param name: name of the metric - @returns: list with value found in self.results; list is empty when not value found. + @returns: list with value found in self.results; list is empty when value is not found. """ results = [] data = self.results[ridx] if ridx in self.results else self.results[0] @@ -123,7 +130,6 @@ class Validator: elif name.replace('.', '1').isdigit(): results.append(float(name)) else: - self.errlist.append("Metric '%s' is not collected or the value format is incorrect"%(name)) self.ignoremetrics.add(name) return results @@ -138,27 +144,32 @@ class Validator: Failure: when metric value is negative or not provided. Metrics with negative value will be added into the self.failtests['PositiveValueTest'] and self.ignoremetrics. """ - negmetric = set() - missmetric = set() + negmetric = dict() pcnt = 0 tcnt = 0 + rerun = list() for name, val in self.get_results().items(): - if val is None or val == '': - missmetric.add(name) - self.errlist.append("Metric '%s' is not collected"%(name)) - elif val < 0: - negmetric.add("{0}(={1:.4f})".format(name, val)) - self.collectlist[0].append(name) + if val < 0: + negmetric[name] = val + rerun.append(name) else: pcnt += 1 tcnt += 1 + if len(rerun) > 0 and len(rerun) < 20: + second_results = dict() + self.second_test(rerun, second_results) + for name, val in second_results.items(): + if name not in negmetric: continue + if val >= 0: + del negmetric[name] + pcnt += 1 self.failtests['PositiveValueTest']['Total Tests'] = tcnt self.failtests['PositiveValueTest']['Passed Tests'] = pcnt - if len(negmetric) or len(missmetric)> 0: - self.ignoremetrics.update(negmetric) - self.ignoremetrics.update(missmetric) - self.failtests['PositiveValueTest']['Failed Tests'].append({'NegativeValue':list(negmetric), 'MissingValue':list(missmetric)}) + if len(negmetric.keys()): + self.ignoremetrics.update(negmetric.keys()) + negmessage = ["{0}(={1:.4f})".format(name, val) for name, val in negmetric.items()] + self.failtests['PositiveValueTest']['Failed Tests'].append({'NegativeValue': negmessage}) return @@ -259,21 +270,36 @@ class Validator: metrics = rule['Metrics'] passcnt = 0 totalcnt = 0 - faillist = [] + faillist = list() + failures = dict() + rerun = list() for m in metrics: totalcnt += 1 result = self.get_value(m['Name']) - if len(result) > 0 and self.check_bound(result[0], lbv, ubv, t): + if len(result) > 0 and self.check_bound(result[0], lbv, ubv, t) or m['Name'] in self.skiplist: passcnt += 1 else: - faillist.append({'MetricName':m['Name'], 'CollectedValue':result}) - self.collectlist[0].append(m['Name']) + failures[m['Name']] = result + rerun.append(m['Name']) + + if len(rerun) > 0 and len(rerun) < 20: + second_results = dict() + self.second_test(rerun, second_results) + for name, val in second_results.items(): + if name not in failures: continue + if self.check_bound(val, lbv, ubv, t): + passcnt += 1 + del failures[name] + else: + failures[name] = val + self.results[0][name] = val self.totalcnt += totalcnt self.passedcnt += passcnt self.failtests['SingleMetricTest']['Total Tests'] += totalcnt self.failtests['SingleMetricTest']['Passed Tests'] += passcnt - if len(faillist) != 0: + if len(failures.keys()) != 0: + faillist = [{'MetricName':name, 'CollectedValue':val} for name, val in failures.items()] self.failtests['SingleMetricTest']['Failed Tests'].append({'RuleIndex':rule['RuleIndex'], 'RangeLower': rule['RangeLower'], 'RangeUpper': rule['RangeUpper'], @@ -316,7 +342,7 @@ class Validator: return True # Start of Collector and Converter - def convert(self, data: list, idx: int): + def convert(self, data: list, metricvalues:dict): """ Convert collected metric data from the -j output to dict of {metric_name:value}. """ @@ -326,20 +352,29 @@ class Validator: if "metric-unit" in result and result["metric-unit"] != "(null)" and result["metric-unit"] != "": name = result["metric-unit"].split(" ")[1] if len(result["metric-unit"].split(" ")) > 1 \ else result["metric-unit"] - if idx not in self.results: self.results[idx] = dict() - self.results[idx][name.lower()] = float(result["metric-value"]) + metricvalues[name.lower()] = float(result["metric-value"]) except ValueError as error: continue return - def collect_perf(self, data_file: str, workload: str): + def _run_perf(self, metric, workload: str): + tool = 'perf' + command = [tool, 'stat', '-j', '-M', f"{metric}", "-a"] + wl = workload.split() + command.extend(wl) + print(" ".join(command)) + cmd = subprocess.run(command, stderr=subprocess.PIPE, encoding='utf-8') + data = [x+'}' for x in cmd.stderr.split('}\n') if x] + return data + + + def collect_perf(self, workload: str): """ Collect metric data with "perf stat -M" on given workload with -a and -j. """ self.results = dict() - tool = 'perf' print(f"Starting perf collection") - print(f"Workload: {workload}") + print(f"Long workload: {workload}") collectlist = dict() if self.collectlist != "": collectlist[0] = {x for x in self.collectlist.split(",")} @@ -353,17 +388,20 @@ class Validator: collectlist[rule["RuleIndex"]] = [",".join(list(set(metrics)))] for idx, metrics in collectlist.items(): - if idx == 0: wl = "sleep 0.5".split() - else: wl = workload.split() + if idx == 0: wl = "true" + else: wl = workload for metric in metrics: - command = [tool, 'stat', '-j', '-M', f"{metric}", "-a"] - command.extend(wl) - print(" ".join(command)) - cmd = subprocess.run(command, stderr=subprocess.PIPE, encoding='utf-8') - data = [x+'}' for x in cmd.stderr.split('}\n') if x] - self.convert(data, idx) - self.collectlist = dict() - self.collectlist[0] = list() + data = self._run_perf(metric, wl) + if idx not in self.results: self.results[idx] = dict() + self.convert(data, self.results[idx]) + return + + def second_test(self, collectlist, second_results): + workload = self.workloads[self.wlidx] + for metric in collectlist: + data = self._run_perf(metric, workload) + self.convert(data, second_results) + # End of Collector and Converter # Start of Rule Generator @@ -381,7 +419,7 @@ class Validator: if 'MetricName' not in m: print("Warning: no metric name") continue - name = m['MetricName'] + name = m['MetricName'].lower() self.metrics.add(name) if 'ScaleUnit' in m and (m['ScaleUnit'] == '1%' or m['ScaleUnit'] == '100%'): self.pctgmetrics.add(name.lower()) @@ -391,14 +429,12 @@ class Validator: return - def remove_unsupported_rules(self, rules, skiplist: set = None): - for m in skiplist: - self.metrics.discard(m) + def remove_unsupported_rules(self, rules): new_rules = [] for rule in rules: add_rule = True for m in rule["Metrics"]: - if m["Name"] not in self.metrics: + if m["Name"] in self.skiplist or m["Name"] not in self.metrics: add_rule = False break if add_rule: @@ -415,15 +451,15 @@ class Validator: """ data = self.read_json(self.rulefname) rules = data['RelationshipRules'] - skiplist = set(data['SkipList']) - self.rules = self.remove_unsupported_rules(rules, skiplist) + self.skiplist = set([name.lower() for name in data['SkipList']]) + self.rules = self.remove_unsupported_rules(rules) pctgrule = {'RuleIndex':0, 'TestType':'SingleMetricTest', 'RangeLower':'0', 'RangeUpper': '100', 'ErrorThreshold': self.tolerance, 'Description':'Metrics in percent unit have value with in [0, 100]', - 'Metrics': [{'Name': m} for m in self.pctgmetrics]} + 'Metrics': [{'Name': m.lower()} for m in self.pctgmetrics]} self.rules.append(pctgrule) # Re-index all rules to avoid repeated RuleIndex @@ -479,8 +515,9 @@ class Validator: self.parse_perf_metrics() self.create_rules() for i in range(0, len(self.workloads)): + self.wlidx = i self._init_data() - self.collect_perf(self.datafname, self.workloads[i]) + self.collect_perf(self.workloads[i]) # Run positive value test self.pos_val_test() for r in self.rules: |