diff options
Diffstat (limited to 'csit.infra.dash/app/cdash/news/layout.py')
| -rw-r--r-- | csit.infra.dash/app/cdash/news/layout.py | 22 |
1 files changed, 11 insertions, 11 deletions
diff --git a/csit.infra.dash/app/cdash/news/layout.py b/csit.infra.dash/app/cdash/news/layout.py index b40db48605..8fe3d35e6a 100644 --- a/csit.infra.dash/app/cdash/news/layout.py +++ b/csit.infra.dash/app/cdash/news/layout.py @@ -24,7 +24,7 @@ from dash import callback_context from dash import Input, Output, State from ..utils.constants import Constants as C -from ..utils.utils import gen_new_url, navbar_trending +from ..utils.utils import gen_new_url, navbar_trending, get_topo_arch from ..utils.anomalies import classify_anomalies from ..utils.url_processing import url_decode from .tables import table_summary @@ -78,7 +78,7 @@ class Layout: d_job_info["dut"].append(lst_job[1]) d_job_info["ttype"].append(lst_job[3]) d_job_info["cadence"].append(lst_job[4]) - d_job_info["tbed"].append("-".join(lst_job[-2:])) + d_job_info["tbed"].append(get_topo_arch(lst_job)) self.job_info = pd.DataFrame.from_dict(d_job_info) # Pre-process the data: @@ -182,20 +182,20 @@ class Layout: _create_test_name(test).replace("-ndrpdr", "-pdr"), x_axis[_get_rindex(anomalies, "regression")] )) - else: # mrr - tst_data = tst_data.dropna( - subset=["result_receive_rate_rate_avg", ] - ) + else: # mrr, hoststack, soak + if "soak" in test: + val = "result_critical_rate_lower_rate_value" + elif "hoststack" in test: + val = "result_rate_value" + else: # mrr + val = "result_receive_rate_rate_avg" + tst_data = tst_data.dropna(subset=[val, ]) if tst_data.empty: continue x_axis = tst_data["start_time"].tolist() try: anomalies, _, _ = classify_anomalies({ - k: v for k, v in zip( - x_axis, - tst_data["result_receive_rate_rate_avg"].\ - tolist() - ) + k: v for k, v in zip(x_axis, tst_data[val].tolist()) }) except ValueError: continue |