diff options
Diffstat (limited to 'csit.infra.dash/app/cdash/trending/graphs.py')
| -rw-r--r-- | csit.infra.dash/app/cdash/trending/graphs.py | 105 |
1 files changed, 2 insertions, 103 deletions
diff --git a/csit.infra.dash/app/cdash/trending/graphs.py b/csit.infra.dash/app/cdash/trending/graphs.py index 10ad745e1e..fc26f8bd79 100644 --- a/csit.infra.dash/app/cdash/trending/graphs.py +++ b/csit.infra.dash/app/cdash/trending/graphs.py @@ -17,32 +17,8 @@ import plotly.graph_objects as go import pandas as pd -import hdrh.histogram -import hdrh.codec - from ..utils.constants import Constants as C -from ..utils.utils import classify_anomalies, get_color - - -def _get_hdrh_latencies(row: pd.Series, name: str) -> dict: - """Get the HDRH latencies from the test data. - - :param row: A row fron the data frame with test data. - :param name: The test name to be displayed as the graph title. - :type row: pandas.Series - :type name: str - :returns: Dictionary with HDRH latencies. - :rtype: dict - """ - - latencies = {"name": name} - for key in C.LAT_HDRH: - try: - latencies[key] = row[key] - except KeyError: - return None - - return latencies +from ..utils.utils import classify_anomalies, get_color, get_hdrh_latencies def select_trending_data(data: pd.DataFrame, itm: dict) -> pd.DataFrame: @@ -189,7 +165,7 @@ def graph_trending( ).replace("<stdev>", stdev).replace("<additional-info>", add_info) hover.append(hover_itm) if ttype == "latency": - customdata_samples.append(_get_hdrh_latencies(row, name)) + customdata_samples.append(get_hdrh_latencies(row, name)) customdata.append({"name": name}) else: customdata_samples.append( @@ -367,83 +343,6 @@ def graph_trending( return fig_tput, fig_lat -def graph_hdrh_latency(data: dict, layout: dict) -> go.Figure: - """Generate HDR Latency histogram graphs. - - :param data: HDRH data. - :param layout: Layout of plot.ly graph. - :type data: dict - :type layout: dict - :returns: HDR latency Histogram. - :rtype: plotly.graph_objects.Figure - """ - - fig = None - - traces = list() - for idx, (lat_name, lat_hdrh) in enumerate(data.items()): - try: - decoded = hdrh.histogram.HdrHistogram.decode(lat_hdrh) - except (hdrh.codec.HdrLengthException, TypeError): - continue - previous_x = 0.0 - prev_perc = 0.0 - xaxis = list() - yaxis = list() - hovertext = list() - for item in decoded.get_recorded_iterator(): - # The real value is "percentile". - # For 100%, we cut that down to "x_perc" to avoid - # infinity. - percentile = item.percentile_level_iterated_to - x_perc = min(percentile, C.PERCENTILE_MAX) - xaxis.append(previous_x) - yaxis.append(item.value_iterated_to) - hovertext.append( - f"<b>{C.GRAPH_LAT_HDRH_DESC[lat_name]}</b><br>" - f"Direction: {('W-E', 'E-W')[idx % 2]}<br>" - f"Percentile: {prev_perc:.5f}-{percentile:.5f}%<br>" - f"Latency: {item.value_iterated_to}uSec" - ) - next_x = 100.0 / (100.0 - x_perc) - xaxis.append(next_x) - yaxis.append(item.value_iterated_to) - hovertext.append( - f"<b>{C.GRAPH_LAT_HDRH_DESC[lat_name]}</b><br>" - f"Direction: {('W-E', 'E-W')[idx % 2]}<br>" - f"Percentile: {prev_perc:.5f}-{percentile:.5f}%<br>" - f"Latency: {item.value_iterated_to}uSec" - ) - previous_x = next_x - prev_perc = percentile - - traces.append( - go.Scatter( - x=xaxis, - y=yaxis, - name=C.GRAPH_LAT_HDRH_DESC[lat_name], - mode="lines", - legendgroup=C.GRAPH_LAT_HDRH_DESC[lat_name], - showlegend=bool(idx % 2), - line=dict( - color=get_color(int(idx/2)), - dash="solid", - width=1 if idx % 2 else 2 - ), - hovertext=hovertext, - hoverinfo="text" - ) - ) - if traces: - fig = go.Figure() - fig.add_traces(traces) - layout_hdrh = layout.get("plot-hdrh-latency", None) - if lat_hdrh: - fig.update_layout(layout_hdrh) - - return fig - - def graph_tm_trending(data: pd.DataFrame, layout: dict) -> list: """Generates one trending graph per test, each graph includes all selected metrics. |