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Diffstat (limited to 'resources/tools/dash/app/pal/stats/graphs.py')
-rw-r--r-- | resources/tools/dash/app/pal/stats/graphs.py | 124 |
1 files changed, 0 insertions, 124 deletions
diff --git a/resources/tools/dash/app/pal/stats/graphs.py b/resources/tools/dash/app/pal/stats/graphs.py deleted file mode 100644 index f533d72aa8..0000000000 --- a/resources/tools/dash/app/pal/stats/graphs.py +++ /dev/null @@ -1,124 +0,0 @@ -# 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 |