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Diffstat (limited to 'csit.infra.dash/app/pal/stats/graphs.py')
-rw-r--r-- | csit.infra.dash/app/pal/stats/graphs.py | 124 |
1 files changed, 124 insertions, 0 deletions
diff --git a/csit.infra.dash/app/pal/stats/graphs.py b/csit.infra.dash/app/pal/stats/graphs.py new file mode 100644 index 0000000000..f533d72aa8 --- /dev/null +++ b/csit.infra.dash/app/pal/stats/graphs.py @@ -0,0 +1,124 @@ +# Copyright (c) 2022 Cisco and/or its affiliates. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at: +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +""" + +import plotly.graph_objects as go +import pandas as pd + + +def select_data(data: pd.DataFrame, itm:str) -> pd.DataFrame: + """Select the data for graphs from the provided data frame. + + :param data: Data frame with data for graphs. + :param itm: Item (in this case job name) which data will be selected from + the input data frame. + :type data: pandas.DataFrame + :type itm: str + :returns: A data frame with selected data. + :rtype: pandas.DataFrame + """ + + df = data.loc[(data["job"] == itm)].sort_values( + by="start_time", ignore_index=True) + df = df.dropna(subset=["duration", ]) + + return df + + +def graph_statistics(df: pd.DataFrame, job:str, layout: dict) -> tuple: + """Generate graphs: + 1. Passed / failed tests, + 2. Job durations + with additional information shown in hover. + + :param df: Data frame with input data. + :param job: The name of job which data will be presented in the graphs. + :param layout: Layout of plot.ly graph. + :type df: pandas.DataFrame + :type job: str + :type layout: dict + :returns: Tuple with two generated graphs (pased/failed tests and job + duration). + :rtype: tuple(plotly.graph_objects.Figure, plotly.graph_objects.Figure) + """ + + data = select_data(df, job) + if data.empty: + return None, None + + hover = list() + for _, row in data.iterrows(): + d_type = "trex" if row["dut_type"] == "none" else row["dut_type"] + hover_itm = ( + f"date: {row['start_time'].strftime('%Y-%m-%d %H:%M:%S')}<br>" + f"duration: " + f"{(int(row['duration']) // 3600):02d}:" + f"{((int(row['duration']) % 3600) // 60):02d}<br>" + f"passed: {row['passed']}<br>" + f"failed: {row['failed']}<br>" + f"{d_type}-ref: {row['dut_version']}<br>" + f"csit-ref: {row['job']}/{row['build']}<br>" + f"hosts: {', '.join(row['hosts'])}" + ) + hover.append(hover_itm) + + # Job durations: + fig_duration = go.Figure( + data=go.Scatter( + x=data["start_time"], + y=data["duration"], + name=u"Duration", + text=hover, + hoverinfo=u"text" + ) + ) + + tickvals = [0, ] + step = max(data["duration"]) / 5 + for i in range(5): + tickvals.append(int(step * (i + 1))) + layout_duration = layout.get("plot-stats-duration", dict()) + if layout_duration: + layout_duration["yaxis"]["tickvals"] = tickvals + layout_duration["yaxis"]["ticktext"] = [ + f"{(val // 3600):02d}:{((val % 3600) // 60):02d}" \ + for val in tickvals + ] + fig_duration.update_layout(layout_duration) + + # Passed / failed: + fig_passed = go.Figure( + data=[ + go.Bar( + x=data["start_time"], + y=data["passed"], + name=u"Passed", + hovertext=hover, + hoverinfo=u"text" + ), + go.Bar( + x=data["start_time"], + y=data["failed"], + name=u"Failed", + hovertext=hover, + hoverinfo=u"text" + ) + ] + ) + layout_pf = layout.get("plot-stats-passed", dict()) + if layout_pf: + fig_passed.update_layout(layout_pf) + + return fig_passed, fig_duration |