diff options
Diffstat (limited to 'csit.infra.dash/app/cdash/report/graphs.py')
| -rw-r--r-- | csit.infra.dash/app/cdash/report/graphs.py | 14 |
1 files changed, 10 insertions, 4 deletions
diff --git a/csit.infra.dash/app/cdash/report/graphs.py b/csit.infra.dash/app/cdash/report/graphs.py index 0627411d0f..02202ea155 100644 --- a/csit.infra.dash/app/cdash/report/graphs.py +++ b/csit.infra.dash/app/cdash/report/graphs.py @@ -51,6 +51,8 @@ def select_iterative_data(data: pd.DataFrame, itm:dict) -> pd.DataFrame: test_type = "ndrpdr" elif itm["testtype"] == "mrr": test_type = "mrr" + elif itm["testtype"] == "soak": + test_type = "soak" elif itm["area"] == "hoststack": test_type = "hoststack" df = data.loc[( @@ -190,6 +192,10 @@ def graph_iterative(data: pd.DataFrame, sel: list, layout: dict, trial_run = "run" for _, row in itm_data.iterrows(): metadata["csit-ref"] = f"{row['job']}/{row['build']}" + try: + metadata["hosts"] = ", ".join(row["hosts"]) + except (KeyError, TypeError): + pass customdata.append({"metadata": deepcopy(metadata)}) tput_kwargs = dict( y=y_data, @@ -207,7 +213,7 @@ def graph_iterative(data: pd.DataFrame, sel: list, layout: dict, ) tput_traces.append(go.Box(**tput_kwargs)) - if ttype in ("ndr", "pdr", "mrr"): + if ttype in C.TESTS_WITH_BANDWIDTH: y_band, y_band_max = get_y_values( itm_data, y_band_max, @@ -237,7 +243,7 @@ def graph_iterative(data: pd.DataFrame, sel: list, layout: dict, x_band.append(idx + 1) band_traces.append(go.Box(**band_kwargs)) - if ttype == "pdr": + if ttype in C.TESTS_WITH_LATENCY: y_lat, y_lat_max = get_y_values( itm_data, y_lat_max, @@ -281,7 +287,7 @@ def graph_iterative(data: pd.DataFrame, sel: list, layout: dict, pl_tput["xaxis"]["ticktext"] = [str(i + 1) for i in range(len(sel))] pl_tput["yaxis"]["title"] = f"Throughput [{'|'.join(sorted(y_units))}]" if y_tput_max: - pl_tput["yaxis"]["range"] = [0, int(y_tput_max) + 2e6] + pl_tput["yaxis"]["range"] = [0, int(y_tput_max) * 1.1] fig_tput = go.Figure(data=tput_traces, layout=pl_tput) if band_traces: @@ -291,7 +297,7 @@ def graph_iterative(data: pd.DataFrame, sel: list, layout: dict, pl_band["yaxis"]["title"] = \ f"Bandwidth [{'|'.join(sorted(y_band_units))}]" if y_band_max: - pl_band["yaxis"]["range"] = [0, int(y_band_max) + 2e9] + pl_band["yaxis"]["range"] = [0, int(y_band_max) * 1.1] fig_band = go.Figure(data=band_traces, layout=pl_band) if lat_traces: |