diff options
Diffstat (limited to 'resources/tools/presentation_new/generator_CPTA.py')
| -rw-r--r-- | resources/tools/presentation_new/generator_CPTA.py | 45 |
1 files changed, 26 insertions, 19 deletions
diff --git a/resources/tools/presentation_new/generator_CPTA.py b/resources/tools/presentation_new/generator_CPTA.py index 24dc28c2f7..5d088ca94e 100644 --- a/resources/tools/presentation_new/generator_CPTA.py +++ b/resources/tools/presentation_new/generator_CPTA.py @@ -174,28 +174,29 @@ def _generate_trending_traces(in_data, job_name, build_info, xaxis = list() for idx in data_x: date = build_info[job_name][str(idx)][0] - hover_str = ("date: {0}<br>" - "value: {1:,}<br>" - "{2}-ref: {3}<br>" - "csit-ref: mrr-{4}-build-{5}") + hover_str = ("date: {date}<br>" + "value: {value:,}<br>" + "{sut}-ref: {build}<br>" + "csit-ref: mrr-{period}-build-{build_nr}<br>" + "testbed: {testbed}") if "dpdk" in job_name: hover_text.append(hover_str.format( - date, - int(in_data[idx].avg), - "dpdk", - build_info[job_name][str(idx)][1]. - rsplit('~', 1)[0], - "weekly", - idx)) + date=date, + value=int(in_data[idx].avg), + sut="dpdk", + build=build_info[job_name][str(idx)][1].rsplit('~', 1)[0], + period="weekly", + build_nr=idx, + testbed=build_info[job_name][str(idx)][2])) elif "vpp" in job_name: hover_text.append(hover_str.format( - date, - int(in_data[idx].avg), - "vpp", - build_info[job_name][str(idx)][1]. - rsplit('~', 1)[0], - "daily", - idx)) + date=date, + value=int(in_data[idx].avg), + sut="vpp", + build=build_info[job_name][str(idx)][1].rsplit('~', 1)[0], + period="daily", + build_nr=idx, + testbed=build_info[job_name][str(idx)][2])) xaxis.append(datetime(int(date[0:4]), int(date[4:6]), int(date[6:8]), int(date[9:11]), int(date[12:]))) @@ -433,13 +434,19 @@ def _generate_all_charts(spec, input_data): # Create "build ID": "date" dict: build_info = dict() + tb_tbl = spec.environment.get("testbeds", None) for job_name, job_data in builds_dict.items(): if build_info.get(job_name, None) is None: build_info[job_name] = OrderedDict() for build in job_data: + testbed = "" + tb_ip = input_data.metadata(job_name, build).get("testbed", "") + if tb_ip and tb_tbl: + testbed = tb_tbl.get(tb_ip, "") build_info[job_name][build] = ( input_data.metadata(job_name, build).get("generated", ""), - input_data.metadata(job_name, build).get("version", "") + input_data.metadata(job_name, build).get("version", ""), + testbed ) work_queue = multiprocessing.JoinableQueue() |