X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Fstats%2Fgraphs.py;fp=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Fstats%2Fgraphs.py;h=0000000000000000000000000000000000000000;hb=d6a60b5043c6f7c3dfc45853feb68d0aca5a4a5f;hp=f533d72aa839b4d397156626b63e5f415126a69c;hpb=d2ef7bc01df66f6a27f25d061db064cf4a463267;p=csit.git

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