X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_plots.py;h=729c2cc72c4d2378db0f83f470358842edbbdae7;hb=2c06090c7b919783a91d3ca9ca8c8319b5c35b07;hp=2b1c48f02e73abe55e17d8f035f39460bc5e7bc8;hpb=174ad309b359e9b323b97cae0a6877dce33deb5f;p=csit.git diff --git a/resources/tools/presentation/generator_plots.py b/resources/tools/presentation/generator_plots.py index 2b1c48f02e..729c2cc72c 100644 --- a/resources/tools/presentation/generator_plots.py +++ b/resources/tools/presentation/generator_plots.py @@ -1,4 +1,4 @@ -# Copyright (c) 2019 Cisco and/or its affiliates. +# Copyright (c) 2020 Cisco and/or its affiliates. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: @@ -59,7 +59,9 @@ def generate_plots(spec, data): u"plot_tsa_name": plot_tsa_name, u"plot_http_server_perf_box": plot_http_server_perf_box, u"plot_nf_heatmap": plot_nf_heatmap, - u"plot_lat_hdrh_bar_name": plot_lat_hdrh_bar_name + u"plot_lat_hdrh_bar_name": plot_lat_hdrh_bar_name, + u"plot_lat_hdrh_percentile": plot_lat_hdrh_percentile, + u"plot_hdrh_lat_by_percentile": plot_hdrh_lat_by_percentile } logging.info(u"Generating the plots ...") @@ -77,6 +79,258 @@ def generate_plots(spec, data): logging.info(u"Done.") +def plot_lat_hdrh_percentile(plot, input_data): + """Generate the plot(s) with algorithm: plot_lat_hdrh_percentile + specified in the specification file. + + :param plot: Plot to generate. + :param input_data: Data to process. + :type plot: pandas.Series + :type input_data: InputData + """ + + # Transform the data + plot_title = plot.get(u"title", u"") + logging.info( + f" Creating the data set for the {plot.get(u'type', u'')} " + f"{plot_title}." + ) + data = input_data.filter_tests_by_name( + plot, params=[u"latency", u"parent", u"tags", u"type"]) + if data is None or len(data[0][0]) == 0: + logging.error(u"No data.") + return + + fig = plgo.Figure() + + # Prepare the data for the plot + directions = [u"W-E", u"E-W"] + for color, test in enumerate(data[0][0]): + try: + if test[u"type"] in (u"NDRPDR",): + if u"-pdr" in plot_title.lower(): + ttype = u"PDR" + elif u"-ndr" in plot_title.lower(): + ttype = u"NDR" + else: + logging.warning(f"Invalid test type: {test[u'type']}") + continue + name = re.sub(REGEX_NIC, u"", test[u"parent"]. + replace(u'-ndrpdr', u''). + replace(u'2n1l-', u'')) + for idx, direction in enumerate( + (u"direction1", u"direction2", )): + try: + hdr_lat = test[u"latency"][ttype][direction][u"hdrh"] + # TODO: Workaround, HDRH data must be aligned to 4 + # bytes, remove when not needed. + hdr_lat += u"=" * (len(hdr_lat) % 4) + xaxis = list() + yaxis = list() + hovertext = list() + decoded = hdrh.histogram.HdrHistogram.decode(hdr_lat) + for item in decoded.get_recorded_iterator(): + percentile = item.percentile_level_iterated_to + if percentile != 100.0: + xaxis.append(100.0 / (100.0 - percentile)) + yaxis.append(item.value_iterated_to) + hovertext.append( + f"Test: {name}
" + f"Direction: {directions[idx]}
" + f"Percentile: {percentile:.5f}%
" + f"Latency: {item.value_iterated_to}uSec" + ) + fig.add_trace( + plgo.Scatter( + x=xaxis, + y=yaxis, + name=name, + mode=u"lines", + legendgroup=name, + showlegend=bool(idx), + line=dict( + color=COLORS[color] + ), + hovertext=hovertext, + hoverinfo=u"text" + ) + ) + except hdrh.codec.HdrLengthException as err: + logging.warning( + f"No or invalid data for HDRHistogram for the test " + f"{name}\n{err}" + ) + continue + else: + logging.warning(f"Invalid test type: {test[u'type']}") + continue + except (ValueError, KeyError) as err: + logging.warning(repr(err)) + + layout = deepcopy(plot[u"layout"]) + + layout[u"title"][u"text"] = \ + f"Latency: {plot.get(u'graph-title', u'')}" + fig[u"layout"].update(layout) + + # Create plot + file_type = plot.get(u"output-file-type", u".html") + logging.info(f" Writing file {plot[u'output-file']}{file_type}.") + try: + # Export Plot + ploff.plot(fig, show_link=False, auto_open=False, + filename=f"{plot[u'output-file']}{file_type}") + except PlotlyError as err: + logging.error(f" Finished with error: {repr(err)}") + + +def plot_hdrh_lat_by_percentile(plot, input_data): + """Generate the plot(s) with algorithm: plot_hdrh_lat_by_percentile + specified in the specification file. + + :param plot: Plot to generate. + :param input_data: Data to process. + :type plot: pandas.Series + :type input_data: InputData + """ + + # Transform the data + logging.info( + f" Creating the data set for the {plot.get(u'type', u'')} " + f"{plot.get(u'title', u'')}." + ) + data = input_data.filter_tests_by_name( + plot, params=[u"latency", u"throughput", u"parent", u"tags", u"type"]) + if data is None or len(data[0][0]) == 0: + logging.error(u"No data.") + return + + graphs = [ + u"LAT0", + u"PDR10", + u"PDR50", + u"PDR90", + u"NDR", + u"PDR" + ] + + for test in data[0][0]: + try: + if test[u"type"] not in (u"NDRPDR",): + logging.warning(f"Invalid test type: {test[u'type']}") + continue + name = re.sub(REGEX_NIC, u"", test[u"parent"]. + replace(u'-ndrpdr', u'').replace(u'2n1l-', u'')) + + logging.info(f" Generating the graph: {name}") + + pdr = test[u"throughput"][u"PDR"][u"LOWER"] + ndr = test[u"throughput"][u"NDR"][u"LOWER"] + + desc = { + u"LAT0": u"No load", + u"PDR10": f"10% PDR background traffic ({(pdr*1e-7):.2f}Mpps)", + u"PDR50": f"50% PDR background traffic ({(pdr*5e-7):.2f}Mpps)", + u"PDR90": f"90% PDR background traffic ({(pdr*9e-7):.2f}Mpps)", + u"PDR": f"100% PDR background traffic ({(pdr*1e-6):.2f}Mpps)", + u"NDR10": f"10% NDR background traffic ({(ndr*1e-7):.2f}Mpps)", + u"NDR50": f"50% NDR background traffic ({(ndr*5e-7):.2f}Mpps)", + u"NDR90": f"90% NDR background traffic ({(ndr*9e-7):.2f}Mpps)", + u"NDR": f"100% NDR background traffic ({(ndr*1e-6):.2f}Mpps)" + } + + fig = make_subplots( + rows=1, + cols=2, + column_widths=[0.5, 0.5], + shared_xaxes=True, + subplot_titles=( + u"Direction: W-E", + u"Direction: E-W" + ), + specs=[[{"type": "scatter"}, {"type": "scatter"}], ] + ) + layout = deepcopy(plot[u"layout"]) + + for color, graph in enumerate(graphs): + for idx, direction in enumerate((u"direction1", u"direction2")): + xaxis = list() + yaxis = list() + hovertext = list() + decoded = hdrh.histogram.HdrHistogram.decode( + test[u"latency"][graph][direction][u"hdrh"] + ) + for item in decoded.get_recorded_iterator(): + percentile = item.percentile_level_iterated_to + xaxis.append((100.0 / (100.0 - percentile)) + if percentile != 100.0 else 1e6) + yaxis.append(item.value_iterated_to) + hovertext.append( + f"{desc[graph]}
" + f"Percentile: {percentile:.5f}%
" + f"Latency: {item.value_iterated_to}uSec" + ) + fig.add_trace( + plgo.Scatter( + x=xaxis, + y=yaxis, + name=desc[graph], + mode=u"lines", + legendgroup=desc[graph], + showlegend=bool(idx), + line=dict( + color=COLORS[color] + ), + hovertext=hovertext, + hoverinfo=u"text" + ), + row=1, + col=idx + 1, + ) + fig.update_xaxes( + row=1, + col=idx + 1, + **layout[u"xaxis"] + ) + fig.update_yaxes( + row=1, + col=idx + 1, + **layout[u"yaxis"] + ) + try: + del layout[u"xaxis"] + except KeyError: + pass + try: + del layout[u"yaxis"] + except KeyError: + pass + + layout[u"title"][u"text"] = f"Latency: {name}" + fig.update_layout(layout) + + # Create plot + file_name = (f"{plot[u'output-file']}-" + f"{name}" + f"{plot.get(u'output-file-type', u'.html')}") + logging.info(f" Writing file {file_name}") + + try: + # Export Plot + ploff.plot(fig, show_link=False, auto_open=False, + filename=file_name) + except PlotlyError as err: + logging.error(f" Finished with error: {repr(err)}") + + except hdrh.codec.HdrLengthException as err: + logging.warning(repr(err)) + continue + + except (ValueError, KeyError) as err: + logging.warning(repr(err)) + continue + + def plot_lat_hdrh_bar_name(plot, input_data): """Generate the plot(s) with algorithm: plot_lat_hdrh_bar_name specified in the specification file. @@ -1370,15 +1624,12 @@ def plot_nf_heatmap(plot, input_data): plpl = plgo.Figure(data=traces, layout=layout) # Export Plot - logging.info( - f" Writing file {plot[u'output-file']}" - f"{plot[u'output-file-type']}." - ) + logging.info(f" Writing file {plot[u'output-file']}.html") ploff.plot( plpl, show_link=False, auto_open=False, - filename=f"{plot[u'output-file']}{plot[u'output-file-type']}" + filename=f"{plot[u'output-file']}.html" ) except PlotlyError as err: logging.error(