diff options
author | Martin Peres <martin.peres@linux.intel.com> | 2015-08-31 19:57:15 +0300 |
---|---|---|
committer | Martin Peres <martin.peres@linux.intel.com> | 2015-08-31 19:58:14 +0300 |
commit | 6e8605e3b3ec174486bc1f1f5aa5df2be915f042 (patch) | |
tree | 3059a0fe4facedc8212c6c348940c2cdae1d1b6b /stats | |
parent | c7718267c8385aad726315614f4d3d30e0300576 (diff) |
stats/gen_report: Use google's API to draw the trend chart
Diffstat (limited to 'stats')
-rwxr-xr-x | stats/gen_report.py | 79 |
1 files changed, 52 insertions, 27 deletions
diff --git a/stats/gen_report.py b/stats/gen_report.py index cae3f89..3d34592 100755 --- a/stats/gen_report.py +++ b/stats/gen_report.py @@ -46,32 +46,6 @@ if not os.path.isdir(report_folder): except OSError: print ("Error while creating the report folder") -# Generate the trend graph -print("Generating the trend graph") -f = plt.figure(figsize=(17,3)) -plt.xlabel('Commits') -plt.ylabel('Perf. diff. with the first commit (%)') -plt.grid(True) - -data = getResultsGeomDiffs(report.commits, args.frametime) -x_val = [x[0] for x in data] -y_val = [x[1] for x in data] -plt.plot(x_val, y_val, label="Geometric mean") - -for i in range(len(report.benchmarks)): - data = getResultsBenchmarkDiffs(report.commits, report.benchmarks[i], args.frametime) - - x_val = [x[0] for x in data] - y_val = [x[1] for x in data] - - plt.plot(x_val, y_val, label=report.benchmarks[i].full_name) - -plt.legend(bbox_to_anchor=(0., 1.02, 1., .102), loc=3, - ncol=4, mode="expand", borderaxespad=0.) -plt.xticks(range(len(commitsLabels)), commitsLabels, size='small', rotation=70) -plt.savefig(report_folder + 'overview.svg', bbox_inches='tight') -plt.close() - def kde_scipy(x, x_grid, bandwidth=0.2, **kwargs): kde = gaussian_kde(x, bw_method=bandwidth, **kwargs) return kde.evaluate(x_grid) @@ -180,6 +154,53 @@ html_template=""" <style> body {{ font-size: 10pt}} </style> + <script type="text/javascript" src="https://www.google.com/jsapi"></script> + <script type="text/javascript"> + google.load('visualization', '1', {packages: ['corechart']}); + google.setOnLoadCallback(drawChart); + + function drawChart() { + var dataTable = new google.visualization.DataTable(); + dataTable.addColumn('string', 'Commit'); + % for benchmark in benchmarks: + dataTable.addColumn('number', '${benchmark.full_name}'); + dataTable.addColumn({ type: "string", role: "tooltip", p: { html: true }}); + % endfor + dataTable.addRows([ + % for commit in commits: + ['${commit.label}', + % for benchmark in benchmarks: + <% + result = None + for res in commit.results: + if res.benchmark == benchmark: + result = res + sparkline_img = report_folder + result.data_raw_file + ".spark.svg" + break + %> + ${result.diff_absolute}, "<h2>${commit.label} - ${benchmark.full_name}</h2><p>Commit SHA1: <a href='#commit_${commit.sha1}'>${commit.sha1}</a></p><p>Value: ${result.diff_absolute} % (Diff with prev.: ${result.diff} %)</p><p>Raw data point: ${result.value} ${result.unit_str}</p><p><a href='#commit_${commit.sha1}_bench_${benchmark.full_name}'><img src='${sparkline_img}' alt='Sparkline of the performance' /></a></p>", + % endfor + ], + % endfor + ]); + + var options = { + chart: { + title: 'Performance trend across multiple commits' + }, + legend: { position: 'top' }, + focusTarget: 'datum', + tooltip: {trigger: 'selection', isHtml: true}, + crosshair: { trigger: 'both' }, + hAxis: {title: 'Commits'}, + vAxis: {title: 'Perf. diff. with the first commit (%)'} + }; + + var chart = new google.visualization.LineChart(document.getElementById('trends_chart')); + + chart.draw(dataTable, options); + } + </script> </head> <%def name="makeTableheader(benchmarks)"> @@ -224,7 +245,7 @@ html_template=""" <h2>Trends</h2> - <center><img src="${report_folder}/overview.svg" alt="Trends"/></center> + <center><div id="trends_chart" style="width: 100%; height: 500px;"></div></center> % if len(notes) > 0: <h2>Notes</h2> @@ -313,8 +334,12 @@ for commit in report.commits: if result != None: result.value = float("{0:.2f}".format(array(result.data).mean())) + if not hasattr(result.benchmark, "first_value"): + result.benchmark.first_value = result.value result.diff, result.color = computeDiffAndColor(result.benchmark.prevValue, result.value) + result.diff_absolute, useless_color = computeDiffAndColor(result.benchmark.first_value, + result.value) result.benchmark.prevValue = result.value result.img_src_name = genFileNameReportImg(report_folder, result.data_raw_file) |