diff options
Diffstat (limited to 'resources/tools/presentation')
-rw-r--r-- | resources/tools/presentation/generator_plots.py | 227 | ||||
-rw-r--r-- | resources/tools/presentation/input_data_parser.py | 42 |
2 files changed, 171 insertions, 98 deletions
diff --git a/resources/tools/presentation/generator_plots.py b/resources/tools/presentation/generator_plots.py index f875d09b94..e79e4de38b 100644 --- a/resources/tools/presentation/generator_plots.py +++ b/resources/tools/presentation/generator_plots.py @@ -179,9 +179,16 @@ def plot_hdrh_lat_by_percentile(plot, input_data): f"Percentile: 0.0%<br>" f"Latency: 0.0uSec" ] - decoded = hdrh.histogram.HdrHistogram.decode( - test[u"latency"][graph][direction][u"hdrh"] - ) + try: + decoded = hdrh.histogram.HdrHistogram.decode( + test[u"latency"][graph][direction][u"hdrh"] + ) + except hdrh.codec.HdrLengthException: + logging.warning( + f"No data for direction {(u'W-E', u'E-W')[idx % 2]}" + ) + continue + for item in decoded.get_recorded_iterator(): percentile = item.percentile_level_iterated_to if percentile > 99.9: @@ -204,7 +211,7 @@ def plot_hdrh_lat_by_percentile(plot, input_data): showlegend=bool(idx), line=dict( color=COLORS[color], - dash=u"solid" if idx % 2 else u"dash" + dash=u"dash" if idx % 2 else u"solid" ), hovertext=hovertext, hoverinfo=u"text" @@ -356,7 +363,8 @@ def plot_perf_box_name(plot, input_data): f"{plot.get(u'title', u'')}." ) data = input_data.filter_tests_by_name( - plot, params=[u"throughput", u"result", u"parent", u"tags", u"type"]) + plot, + params=[u"throughput", u"gbps", u"result", u"parent", u"tags", u"type"]) if data is None: logging.error(u"No data.") return @@ -370,20 +378,33 @@ def plot_perf_box_name(plot, input_data): if y_vals.get(test[u"parent"], None) is None: y_vals[test[u"parent"]] = list() try: - if (test[u"type"] in (u"NDRPDR", ) and - u"-pdr" in plot.get(u"title", u"").lower()): - y_vals[test[u"parent"]].\ - append(test[u"throughput"][u"PDR"][u"LOWER"]) - test_type = u"NDRPDR" - elif (test[u"type"] in (u"NDRPDR", ) and - u"-ndr" in plot.get(u"title", u"").lower()): - y_vals[test[u"parent"]]. \ - append(test[u"throughput"][u"NDR"][u"LOWER"]) + if test[u"type"] in (u"NDRPDR", ): test_type = u"NDRPDR" + plot_title = plot.get(u"title", u"").lower() + + if u"-pdr" in plot_title: + ttype = u"PDR" + elif u"-ndr" in plot_title: + ttype = u"NDR" + else: + continue + + if u"-gbps" in plot_title: + value = u"gbps" + multiplier = 1e6 + else: + value = u"throughput" + multiplier = 1.0 + + y_vals[test[u"parent"]].append( + test[value][ttype][u"LOWER"] * multiplier + ) + elif test[u"type"] in (u"SOAK", ): y_vals[test[u"parent"]].\ append(test[u"throughput"][u"LOWER"]) test_type = u"SOAK" + elif test[u"type"] in (u"HOSTSTACK", ): if u"LDPRELOAD" in test[u"tags"]: y_vals[test[u"parent"]].append( @@ -398,8 +419,10 @@ def plot_perf_box_name(plot, input_data): 2) ) test_type = u"HOSTSTACK" + else: continue + except (KeyError, TypeError): y_vals[test[u"parent"]].append(None) @@ -491,11 +514,15 @@ def plot_tsa_name(plot, input_data): f" Creating data set for the {plot.get(u'type', u'')} {plot_title}." ) data = input_data.filter_tests_by_name( - plot, params=[u"throughput", u"parent", u"tags", u"type"]) + plot, + params=[u"throughput", u"gbps", u"parent", u"tags", u"type"] + ) if data is None: logging.error(u"No data.") return + plot_title = plot_title.lower() + y_vals = OrderedDict() for job in data: for build in job: @@ -510,22 +537,29 @@ def plot_tsa_name(plot, input_data): if test[u"type"] not in (u"NDRPDR",): continue - if u"-pdr" in plot_title.lower(): + if u"-pdr" in plot_title: ttype = u"PDR" - elif u"-ndr" in plot_title.lower(): + elif u"-ndr" in plot_title: ttype = u"NDR" else: continue + if u"-gbps" in plot_title: + value = u"gbps" + multiplier = 1e6 + else: + value = u"throughput" + multiplier = 1.0 + if u"1C" in test[u"tags"]: y_vals[test[u"parent"]][u"1"]. \ - append(test[u"throughput"][ttype][u"LOWER"]) + append(test[value][ttype][u"LOWER"] * multiplier) elif u"2C" in test[u"tags"]: y_vals[test[u"parent"]][u"2"]. \ - append(test[u"throughput"][ttype][u"LOWER"]) + append(test[value][ttype][u"LOWER"] * multiplier) elif u"4C" in test[u"tags"]: y_vals[test[u"parent"]][u"4"]. \ - append(test[u"throughput"][ttype][u"LOWER"]) + append(test[value][ttype][u"LOWER"] * multiplier) except (KeyError, TypeError): pass @@ -636,103 +670,104 @@ def plot_tsa_name(plot, input_data): x_vals = [1, 2, 4] # Limits: - try: - threshold = 1.1 * max(y_max) # 10% - except ValueError as err: - logging.error(err) - return - nic_limit /= 1e6 - traces.append(plgo.Scatter( - x=x_vals, - y=[nic_limit, ] * len(x_vals), - name=f"NIC: {nic_limit:.2f}Mpps", - showlegend=False, - mode=u"lines", - line=dict( - dash=u"dot", - color=COLORS[-1], - width=1), - hoverinfo=u"none" - )) - annotations.append(dict( - x=1, - y=nic_limit, - xref=u"x", - yref=u"y", - xanchor=u"left", - yanchor=u"bottom", - text=f"NIC: {nic_limit:.2f}Mpps", - font=dict( - size=14, - color=COLORS[-1], - ), - align=u"left", - showarrow=False - )) - y_max.append(nic_limit) - - lnk_limit /= 1e6 - if lnk_limit < threshold: - traces.append(plgo.Scatter( - x=x_vals, - y=[lnk_limit, ] * len(x_vals), - name=f"Link: {lnk_limit:.2f}Mpps", - showlegend=False, - mode=u"lines", - line=dict( - dash=u"dot", - color=COLORS[-2], - width=1), - hoverinfo=u"none" - )) - annotations.append(dict( - x=1, - y=lnk_limit, - xref=u"x", - yref=u"y", - xanchor=u"left", - yanchor=u"bottom", - text=f"Link: {lnk_limit:.2f}Mpps", - font=dict( - size=14, - color=COLORS[-2], - ), - align=u"left", - showarrow=False - )) - y_max.append(lnk_limit) - - pci_limit /= 1e6 - if (pci_limit < threshold and - (pci_limit < lnk_limit * 0.95 or lnk_limit > lnk_limit * 1.05)): + if u"-gbps" not in plot_title: + try: + threshold = 1.1 * max(y_max) # 10% + except ValueError as err: + logging.error(err) + return + nic_limit /= 1e6 traces.append(plgo.Scatter( x=x_vals, - y=[pci_limit, ] * len(x_vals), - name=f"PCIe: {pci_limit:.2f}Mpps", + y=[nic_limit, ] * len(x_vals), + name=f"NIC: {nic_limit:.2f}Mpps", showlegend=False, mode=u"lines", line=dict( dash=u"dot", - color=COLORS[-3], + color=COLORS[-1], width=1), hoverinfo=u"none" )) annotations.append(dict( x=1, - y=pci_limit, + y=nic_limit, xref=u"x", yref=u"y", xanchor=u"left", yanchor=u"bottom", - text=f"PCIe: {pci_limit:.2f}Mpps", + text=f"NIC: {nic_limit:.2f}Mpps", font=dict( size=14, - color=COLORS[-3], + color=COLORS[-1], ), align=u"left", showarrow=False )) - y_max.append(pci_limit) + y_max.append(nic_limit) + + lnk_limit /= 1e6 + if lnk_limit < threshold: + traces.append(plgo.Scatter( + x=x_vals, + y=[lnk_limit, ] * len(x_vals), + name=f"Link: {lnk_limit:.2f}Mpps", + showlegend=False, + mode=u"lines", + line=dict( + dash=u"dot", + color=COLORS[-2], + width=1), + hoverinfo=u"none" + )) + annotations.append(dict( + x=1, + y=lnk_limit, + xref=u"x", + yref=u"y", + xanchor=u"left", + yanchor=u"bottom", + text=f"Link: {lnk_limit:.2f}Mpps", + font=dict( + size=14, + color=COLORS[-2], + ), + align=u"left", + showarrow=False + )) + y_max.append(lnk_limit) + + pci_limit /= 1e6 + if (pci_limit < threshold and + (pci_limit < lnk_limit * 0.95 or lnk_limit > lnk_limit * 1.05)): + traces.append(plgo.Scatter( + x=x_vals, + y=[pci_limit, ] * len(x_vals), + name=f"PCIe: {pci_limit:.2f}Mpps", + showlegend=False, + mode=u"lines", + line=dict( + dash=u"dot", + color=COLORS[-3], + width=1), + hoverinfo=u"none" + )) + annotations.append(dict( + x=1, + y=pci_limit, + xref=u"x", + yref=u"y", + xanchor=u"left", + yanchor=u"bottom", + text=f"PCIe: {pci_limit:.2f}Mpps", + font=dict( + size=14, + color=COLORS[-3], + ), + align=u"left", + showarrow=False + )) + y_max.append(pci_limit) # Perfect and measured: cidx = 0 diff --git a/resources/tools/presentation/input_data_parser.py b/resources/tools/presentation/input_data_parser.py index fc640875ce..0a6efc7b18 100644 --- a/resources/tools/presentation/input_data_parser.py +++ b/resources/tools/presentation/input_data_parser.py @@ -216,6 +216,12 @@ class ExecutionChecker(ResultVisitor): r'PDR_LOWER:\s(\d+.\d+).*\n.*\n' r'PDR_UPPER:\s(\d+.\d+)' ) + REGEX_NDRPDR_GBPS = re.compile( + r'NDR_LOWER:.*,\s(\d+.\d+).*\n.*\n' + r'NDR_UPPER:.*,\s(\d+.\d+).*\n' + r'PDR_LOWER:.*,\s(\d+.\d+).*\n.*\n' + r'PDR_UPPER:.*,\s(\d+.\d+)' + ) REGEX_PERF_MSG_INFO = re.compile( r'NDR_LOWER:\s(\d+.\d+)\s.*\s(\d+.\d+)\s.*\n.*\n.*\n' r'PDR_LOWER:\s(\d+.\d+)\s.*\s(\d+.\d+)\s.*\n.*\n.*\n' @@ -713,6 +719,35 @@ class ExecutionChecker(ResultVisitor): return throughput, status + def _get_ndrpdr_throughput_gbps(self, msg): + """Get NDR_LOWER, NDR_UPPER, PDR_LOWER and PDR_UPPER in Gbps from the + test message. + + :param msg: The test message to be parsed. + :type msg: str + :returns: Parsed data as a dict and the status (PASS/FAIL). + :rtype: tuple(dict, str) + """ + + gbps = { + u"NDR": {u"LOWER": -1.0, u"UPPER": -1.0}, + u"PDR": {u"LOWER": -1.0, u"UPPER": -1.0} + } + status = u"FAIL" + groups = re.search(self.REGEX_NDRPDR_GBPS, msg) + + if groups is not None: + try: + gbps[u"NDR"][u"LOWER"] = float(groups.group(1)) + gbps[u"NDR"][u"UPPER"] = float(groups.group(2)) + gbps[u"PDR"][u"LOWER"] = float(groups.group(3)) + gbps[u"PDR"][u"UPPER"] = float(groups.group(4)) + status = u"PASS" + except (IndexError, ValueError): + pass + + return gbps, status + def _get_plr_throughput(self, msg): """Get PLRsearch lower bound and PLRsearch upper bound from the test message. @@ -1071,6 +1106,8 @@ class ExecutionChecker(ResultVisitor): test_result[u"type"] = u"NDRPDR" test_result[u"throughput"], test_result[u"status"] = \ self._get_ndrpdr_throughput(test.message) + test_result[u"gbps"], test_result[u"status"] = \ + self._get_ndrpdr_throughput_gbps(test.message) test_result[u"latency"], test_result[u"status"] = \ self._get_ndrpdr_latency(test.message) elif u"SOAK" in tags: @@ -1095,8 +1132,9 @@ class ExecutionChecker(ResultVisitor): groups = re.search(self.REGEX_BMRR, test.message) if groups is not None: items_str = groups.group(1) - items_float = [float(item.strip()) for item - in items_str.split(",")] + items_float = [ + float(item.strip()) for item in items_str.split(",") + ] # Use whole list in CSIT-1180. stats = jumpavg.AvgStdevStats.for_runs(items_float) test_result[u"result"][u"receive-rate"] = stats.avg |