fix(cdash): Rename

Signed-off-by: pmikus <peter.mikus@protonmail.ch>
Change-Id: Ia6dff2674a28b42ebfbe91230587f1e175ae1137

5 files changed, 1117 insertions, 0 deletions

diff --git a/csit.infra.dash/app/cdash/stats/__init__.py b/csit.infra.dash/app/cdash/stats/__init__.py
new file mode 100644
index 0000000000..5692432123
--- /dev/null
+++ b/csit.infra.dash/app/cdash/stats/__init__.py
@@ -0,0 +1,12 @@
+# 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.
diff --git a/csit.infra.dash/app/cdash/stats/graphs.py b/csit.infra.dash/app/cdash/stats/graphs.py
new file mode 100644
index 0000000000..f533d72aa8
--- /dev/null
+++ b/csit.infra.dash/app/cdash/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
diff --git a/csit.infra.dash/app/cdash/stats/layout.py b/csit.infra.dash/app/cdash/stats/layout.py
new file mode 100644
index 0000000000..8c86600412
--- /dev/null
+++ b/csit.infra.dash/app/cdash/stats/layout.py
@@ -0,0 +1,853 @@
+# 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.
+
+"""Plotly Dash HTML layout override.
+"""
+
+import logging
+import pandas as pd
+import dash_bootstrap_components as dbc
+
+from flask import Flask
+from dash import dcc
+from dash import html
+from dash import callback_context, no_update
+from dash import Input, Output, State
+from dash.exceptions import PreventUpdate
+from yaml import load, FullLoader, YAMLError
+from datetime import datetime
+from copy import deepcopy
+
+from ..utils.constants import Constants as C
+from ..utils.utils import show_tooltip, gen_new_url, get_ttypes, get_cadences, \
+    get_test_beds, get_job, generate_options, set_job_params
+from ..utils.url_processing import url_decode
+from ..data.data import Data
+from .graphs import graph_statistics, select_data
+
+
+class Layout:
+    """The layout of the dash app and the callbacks.
+    """
+
+    def __init__(self, app: Flask, html_layout_file: str,
+        graph_layout_file: str, data_spec_file: str, tooltip_file: str,
+        time_period: int=None) -> None:
+        """Initialization:
+        - save the input parameters,
+        - read and pre-process the data,
+        - prepare data for the control panel,
+        - read HTML layout file,
+        - read tooltips from the tooltip file.
+
+        :param app: Flask application running the dash application.
+        :param html_layout_file: Path and name of the file specifying the HTML
+            layout of the dash application.
+        :param graph_layout_file: Path and name of the file with layout of
+            plot.ly graphs.
+        :param data_spec_file: Path and name of the file specifying the data to
+            be read from parquets for this application.
+        :param tooltip_file: Path and name of the yaml file specifying the
+            tooltips.
+        :param time_period: It defines the time period for data read from the
+            parquets in days from now back to the past.
+        :type app: Flask
+        :type html_layout_file: str
+        :type graph_layout_file: str
+        :type data_spec_file: str
+        :type tooltip_file: str
+        :type time_period: int
+        """
+
+        # Inputs
+        self._app = app
+        self._html_layout_file = html_layout_file
+        self._graph_layout_file = graph_layout_file
+        self._data_spec_file = data_spec_file
+        self._tooltip_file = tooltip_file
+        self._time_period = time_period
+
+        # Read the data:
+        data_stats, data_mrr, data_ndrpdr = Data(
+            data_spec_file=self._data_spec_file,
+            debug=True
+        ).read_stats(days=self._time_period)
+
+        df_tst_info = pd.concat([data_mrr, data_ndrpdr], ignore_index=True)
+
+        # Pre-process the data:
+        data_stats = data_stats[~data_stats.job.str.contains("-verify-")]
+        data_stats = data_stats[~data_stats.job.str.contains("-coverage-")]
+        data_stats = data_stats[~data_stats.job.str.contains("-iterative-")]
+        data_stats = data_stats[["job", "build", "start_time", "duration"]]
+
+        data_time_period = \
+            (datetime.utcnow() - data_stats["start_time"].min()).days
+        if self._time_period > data_time_period:
+            self._time_period = data_time_period
+
+        jobs = sorted(list(data_stats["job"].unique()))
+        d_job_info = {
+            "job": list(),
+            "dut": list(),
+            "ttype": list(),
+            "cadence": list(),
+            "tbed": list()
+        }
+        for job in jobs:
+            lst_job = job.split("-")
+            d_job_info["job"].append(job)
+            d_job_info["dut"].append(lst_job[1])
+            d_job_info["ttype"].append(lst_job[3])
+            d_job_info["cadence"].append(lst_job[4])
+            d_job_info["tbed"].append("-".join(lst_job[-2:]))
+        self.job_info = pd.DataFrame.from_dict(d_job_info)
+
+        self._default = set_job_params(self.job_info, C.STATS_DEFAULT_JOB)
+
+        tst_info = {
+            "job": list(),
+            "build": list(),
+            "dut_type": list(),
+            "dut_version": list(),
+            "hosts": list(),
+            "passed": list(),
+            "failed": list(),
+            "lst_failed": list()
+        }
+        for job in jobs:
+            df_job = df_tst_info.loc[(df_tst_info["job"] == job)]
+            builds = df_job["build"].unique()
+            for build in builds:
+                df_build = df_job.loc[(df_job["build"] == build)]
+                tst_info["job"].append(job)
+                tst_info["build"].append(build)
+                tst_info["dut_type"].append(df_build["dut_type"].iloc[-1])
+                tst_info["dut_version"].append(df_build["dut_version"].iloc[-1])
+                tst_info["hosts"].append(df_build["hosts"].iloc[-1])
+                try:
+                    passed = df_build.value_counts(subset="passed")[True]
+                except KeyError:
+                    passed = 0
+                try:
+                    failed = df_build.value_counts(subset="passed")[False]
+                    failed_tests = df_build.loc[(df_build["passed"] == False)]\
+                        ["test_id"].to_list()
+                    l_failed = list()
+                    for tst in failed_tests:
+                        lst_tst = tst.split(".")
+                        suite = lst_tst[-2].replace("2n1l-", "").\
+                            replace("1n1l-", "").replace("2n-", "")
+                        l_failed.append(f"{suite.split('-')[0]}-{lst_tst[-1]}")
+                except KeyError:
+                    failed = 0
+                    l_failed = list()
+                tst_info["passed"].append(passed)
+                tst_info["failed"].append(failed)
+                tst_info["lst_failed"].append(sorted(l_failed))
+
+        self._data = data_stats.merge(pd.DataFrame.from_dict(tst_info))
+
+        # Read from files:
+        self._html_layout = ""
+        self._graph_layout = None
+        self._tooltips = dict()
+
+        try:
+            with open(self._html_layout_file, "r") as file_read:
+                self._html_layout = file_read.read()
+        except IOError as err:
+            raise RuntimeError(
+                f"Not possible to open the file {self._html_layout_file}\n{err}"
+            )
+
+        try:
+            with open(self._graph_layout_file, "r") as file_read:
+                self._graph_layout = load(file_read, Loader=FullLoader)
+        except IOError as err:
+            raise RuntimeError(
+                f"Not possible to open the file {self._graph_layout_file}\n"
+                f"{err}"
+            )
+        except YAMLError as err:
+            raise RuntimeError(
+                f"An error occurred while parsing the specification file "
+                f"{self._graph_layout_file}\n{err}"
+            )
+
+        try:
+            with open(self._tooltip_file, "r") as file_read:
+                self._tooltips = load(file_read, Loader=FullLoader)
+        except IOError as err:
+            logging.warning(
+                f"Not possible to open the file {self._tooltip_file}\n{err}"
+            )
+        except YAMLError as err:
+            logging.warning(
+                f"An error occurred while parsing the specification file "
+                f"{self._tooltip_file}\n{err}"
+            )
+
+
+        self._default_fig_passed, self._default_fig_duration = graph_statistics(
+            self.data, self._default["job"], self.layout
+        )
+
+        # Callbacks:
+        if self._app is not None and hasattr(self, 'callbacks'):
+            self.callbacks(self._app)
+
+    @property
+    def html_layout(self) -> dict:
+        return self._html_layout
+
+    @property
+    def data(self) -> pd.DataFrame:
+        return self._data
+
+    @property
+    def layout(self) -> dict:
+        return self._graph_layout
+
+    @property
+    def time_period(self) -> int:
+        return self._time_period
+
+    @property
+    def default(self) -> any:
+        return self._default
+
+    def add_content(self):
+        """Top level method which generated the web page.
+
+        It generates:
+        - Store for user input data,
+        - Navigation bar,
+        - Main area with control panel and ploting area.
+
+        If no HTML layout is provided, an error message is displayed instead.
+
+        :returns: The HTML div with the whole page.
+        :rtype: html.Div
+        """
+
+        if self.html_layout:
+            return html.Div(
+                id="div-main",
+                className="small",
+                children=[
+                    dcc.Store(id="control-panel"),
+                    dcc.Location(id="url", refresh=False),
+                    dbc.Row(
+                        id="row-navbar",
+                        class_name="g-0",
+                        children=[
+                            self._add_navbar(),
+                        ]
+                    ),
+                    dcc.Loading(
+                        dbc.Offcanvas(
+                            class_name="w-50",
+                            id="offcanvas-metadata",
+                            title="Detailed Information",
+                            placement="end",
+                            is_open=False,
+                            children=[
+                                dbc.Row(id="row-metadata")
+                            ]
+                        )
+                    ),
+                    dbc.Row(
+                        id="row-main",
+                        class_name="g-0",
+                        children=[
+                            self._add_ctrl_col(),
+                            self._add_plotting_col(),
+                        ]
+                    )
+                ]
+            )
+        else:
+            return html.Div(
+                id="div-main-error",
+                children=[
+                    dbc.Alert(
+                        [
+                            "An Error Occured",
+                        ],
+                        color="danger",
+                    ),
+                ]
+            )
+
+    def _add_navbar(self):
+        """Add nav element with navigation panel. It is placed on the top.
+
+        :returns: Navigation bar.
+        :rtype: dbc.NavbarSimple
+        """
+        return dbc.NavbarSimple(
+            id="navbarsimple-main",
+            children=[
+                dbc.NavItem(
+                    dbc.NavLink(
+                        C.STATS_TITLE,
+                        disabled=True,
+                        external_link=True,
+                        href="#"
+                    )
+                )
+            ],
+            brand=C.BRAND,
+            brand_href="/",
+            brand_external_link=True,
+            class_name="p-2",
+            fluid=True,
+        )
+
+    def _add_ctrl_col(self) -> dbc.Col:
+        """Add column with controls. It is placed on the left side.
+
+        :returns: Column with the control panel.
+        :rtype: dbc.Col
+        """
+        return dbc.Col([
+            html.Div(
+                children=self._add_ctrl_panel(),
+                className="sticky-top"
+            )
+        ])
+
+    def _add_plotting_col(self) -> dbc.Col:
+        """Add column with plots and tables. It is placed on the right side.
+
+        :returns: Column with tables.
+        :rtype: dbc.Col
+        """
+        return dbc.Col(
+            id="col-plotting-area",
+            children=[
+                dbc.Row(  # Passed / failed tests
+                    id="row-graph-passed",
+                    class_name="g-0 p-2",
+                    children=[
+                        dcc.Loading(children=[
+                            dcc.Graph(
+                                id="graph-passed",
+                                figure=self._default_fig_passed
+                            )
+                        ])
+                    ]
+                ),
+                dbc.Row(  # Duration
+                    id="row-graph-duration",
+                    class_name="g-0 p-2",
+                    children=[
+                        dcc.Loading(children=[
+                            dcc.Graph(
+                                id="graph-duration",
+                                figure=self._default_fig_duration
+                            )
+                        ])
+                    ]
+                ),
+                dbc.Row(
+                    class_name="g-0 p-2",
+                    align="center",
+                    justify="start",
+                    children=[
+                        dbc.Col(  # Download
+                            width=2,
+                            children=[
+                                dcc.Loading(children=[
+                                    dbc.Button(
+                                        id="btn-download-data",
+                                        children=show_tooltip(self._tooltips,
+                                            "help-download", "Download Data"),
+                                        class_name="me-1",
+                                        color="info"
+                                    ),
+                                    dcc.Download(id="download-data")
+                                ])
+                            ]
+                        ),
+                        dbc.Col(  # Show URL
+                            width=10,
+                            children=[
+                                dbc.InputGroup(
+                                    class_name="me-1",
+                                    children=[
+                                        dbc.InputGroupText(
+                                            style=C.URL_STYLE,
+                                            children=show_tooltip(
+                                                self._tooltips,
+                                                "help-url", "URL",
+                                                "input-url"
+                                            )
+                                        ),
+                                        dbc.Input(
+                                            id="input-url",
+                                            readonly=True,
+                                            type="url",
+                                            style=C.URL_STYLE,
+                                            value=""
+                                        )
+                                    ]
+                                )
+                            ]
+                        )
+                    ]
+                )
+            ],
+            width=9,
+        )
+
+    def _add_ctrl_panel(self) -> dbc.Row:
+        """Add control panel.
+
+        :returns: Control panel.
+        :rtype: dbc.Row
+        """
+        return [
+            dbc.Row(
+                class_name="g-0 p-1",
+                children=[
+                    dbc.Label(
+                        children=show_tooltip(self._tooltips,
+                            "help-dut", "Device under Test")
+                    ),
+                    dbc.RadioItems(
+                        id="ri-duts",
+                        inline=True,
+                        value=self.default["dut"],
+                        options=self.default["duts"]
+                    )
+                ]
+            ),
+            dbc.Row(
+                class_name="g-0 p-1",
+                children=[
+                    dbc.Label(
+                        children=show_tooltip(self._tooltips,
+                            "help-ttype", "Test Type"),
+                    ),
+                    dbc.RadioItems(
+                        id="ri-ttypes",
+                        inline=True,
+                        value=self.default["ttype"],
+                        options=self.default["ttypes"]
+                    )
+                ]
+            ),
+            dbc.Row(
+                class_name="g-0 p-1",
+                children=[
+                    dbc.Label(
+                        children=show_tooltip(self._tooltips,
+                            "help-cadence", "Cadence"),
+                    ),
+                    dbc.RadioItems(
+                        id="ri-cadences",
+                        inline=True,
+                        value=self.default["cadence"],
+                        options=self.default["cadences"]
+                    )
+                ]
+            ),
+            dbc.Row(
+                class_name="g-0 p-1",
+                children=[
+                    dbc.Label(
+                        children=show_tooltip(self._tooltips,
+                            "help-tbed", "Test Bed"),
+                    ),
+                    dbc.Select(
+                        id="dd-tbeds",
+                        placeholder="Select a test bed...",
+                        value=self.default["tbed"],
+                        options=self.default["tbeds"]
+                    )
+                ]
+            ),
+            dbc.Row(
+                class_name="g-0 p-1",
+                children=[
+                    dbc.Alert(
+                        id="al-job",
+                        color="info",
+                        children=self.default["job"]
+                    )
+                ]
+            )
+        ]
+
+    class ControlPanel:
+        """A class representing the control panel.
+        """
+
+        def __init__(self, panel: dict, default: dict) -> None:
+            """Initialisation of the control pannel by default values. If
+            particular values are provided (parameter "panel") they are set
+            afterwards.
+
+            :param panel: Custom values to be set to the control panel.
+            :param default: Default values to be set to the control panel.
+            :type panel: dict
+            :type defaults: dict
+            """
+
+            self._defaults = {
+                "ri-ttypes-options": default["ttypes"],
+                "ri-cadences-options": default["cadences"],
+                "dd-tbeds-options": default["tbeds"],
+                "ri-duts-value": default["dut"],
+                "ri-ttypes-value": default["ttype"],
+                "ri-cadences-value": default["cadence"],
+                "dd-tbeds-value": default["tbed"],
+                "al-job-children": default["job"]
+            }
+            self._panel = deepcopy(self._defaults)
+            if panel:
+                for key in self._defaults:
+                    self._panel[key] = panel[key]
+
+        def set(self, kwargs: dict) -> None:
+            """Set the values of the Control panel.
+
+            :param kwargs: key - value pairs to be set.
+            :type kwargs: dict
+            :raises KeyError: If the key in kwargs is not present in the Control
+                panel.
+            """
+            for key, val in kwargs.items():
+                if key in self._panel:
+                    self._panel[key] = val
+                else:
+                    raise KeyError(f"The key {key} is not defined.")
+
+        @property
+        def defaults(self) -> dict:
+            return self._defaults
+
+        @property
+        def panel(self) -> dict:
+            return self._panel
+
+        def get(self, key: str) -> any:
+            """Returns the value of a key from the Control panel.
+
+            :param key: The key which value should be returned.
+            :type key: str
+            :returns: The value of the key.
+            :rtype: any
+            :raises KeyError: If the key in kwargs is not present in the Control
+                panel.
+            """
+            return self._panel[key]
+
+        def values(self) -> list:
+            """Returns the values from the Control panel as a list.
+
+            :returns: The values from the Control panel.
+            :rtype: list
+            """
+            return list(self._panel.values())
+
+
+    def callbacks(self, app):
+        """Callbacks for the whole application.
+
+        :param app: The application.
+        :type app: Flask
+        """
+
+        @app.callback(
+            Output("control-panel", "data"),  # Store
+            Output("graph-passed", "figure"),
+            Output("graph-duration", "figure"),
+            Output("input-url", "value"),
+            Output("ri-ttypes", "options"),
+            Output("ri-cadences", "options"),
+            Output("dd-tbeds", "options"),
+            Output("ri-duts", "value"),
+            Output("ri-ttypes", "value"),
+            Output("ri-cadences", "value"),
+            Output("dd-tbeds", "value"),
+            Output("al-job", "children"),
+            State("control-panel", "data"),  # Store
+            Input("ri-duts", "value"),
+            Input("ri-ttypes", "value"),
+            Input("ri-cadences", "value"),
+            Input("dd-tbeds", "value"),
+            Input("url", "href")
+        )
+        def _update_ctrl_panel(cp_data: dict, dut: str, ttype: str, cadence:str,
+                tbed: str, href: str) -> tuple:
+            """Update the application when the event is detected.
+
+            :param cp_data: Current status of the control panel stored in
+                browser.
+            :param dut: Input - DUT name.
+            :param ttype: Input - Test type.
+            :param cadence: Input - The cadence of the job.
+            :param tbed: Input - The test bed.
+            :param href: Input - The URL provided by the browser.
+            :type cp_data: dict
+            :type dut: str
+            :type ttype: str
+            :type cadence: str
+            :type tbed: str
+            :type href: str
+            :returns: New values for web page elements.
+            :rtype: tuple
+            """
+
+            ctrl_panel = self.ControlPanel(cp_data, self.default)
+
+            # Parse the url:
+            parsed_url = url_decode(href)
+            if parsed_url:
+                url_params = parsed_url["params"]
+            else:
+                url_params = None
+
+            trigger_id = callback_context.triggered[0]["prop_id"].split(".")[0]
+            if trigger_id == "ri-duts":
+                ttype_opts = generate_options(get_ttypes(self.job_info, dut))
+                ttype_val = ttype_opts[0]["value"]
+                cad_opts = generate_options(get_cadences(
+                    self.job_info, dut, ttype_val))
+                cad_val = cad_opts[0]["value"]
+                tbed_opts = generate_options(get_test_beds(
+                    self.job_info, dut, ttype_val, cad_val))
+                tbed_val = tbed_opts[0]["value"]
+                ctrl_panel.set({
+                    "ri-duts-value": dut,
+                    "ri-ttypes-options": ttype_opts,
+                    "ri-ttypes-value": ttype_val,
+                    "ri-cadences-options": cad_opts,
+                    "ri-cadences-value": cad_val,
+                    "dd-tbeds-options": tbed_opts,
+                    "dd-tbeds-value": tbed_val
+                })
+            elif trigger_id == "ri-ttypes":
+                cad_opts = generate_options(get_cadences(
+                    self.job_info, ctrl_panel.get("ri-duts-value"), ttype))
+                cad_val = cad_opts[0]["value"]
+                tbed_opts = generate_options(get_test_beds(
+                    self.job_info, ctrl_panel.get("ri-duts-value"), ttype,
+                    cad_val))
+                tbed_val = tbed_opts[0]["value"]
+                ctrl_panel.set({
+                    "ri-ttypes-value": ttype,
+                    "ri-cadences-options": cad_opts,
+                    "ri-cadences-value": cad_val,
+                    "dd-tbeds-options": tbed_opts,
+                    "dd-tbeds-value": tbed_val
+                })
+            elif trigger_id == "ri-cadences":
+                tbed_opts = generate_options(get_test_beds(
+                    self.job_info, ctrl_panel.get("ri-duts-value"),
+                    ctrl_panel.get("ri-ttypes-value"), cadence))
+                tbed_val = tbed_opts[0]["value"]
+                ctrl_panel.set({
+                    "ri-cadences-value": cadence,
+                    "dd-tbeds-options": tbed_opts,
+                    "dd-tbeds-value": tbed_val
+                })
+            elif trigger_id == "dd-tbeds":
+                ctrl_panel.set({
+                    "dd-tbeds-value": tbed
+                })
+            elif trigger_id == "url":
+                if url_params:
+                    new_job = url_params.get("job", list())[0]
+                    if new_job:
+                        job_params = set_job_params(self.job_info, new_job)
+                        ctrl_panel = self.ControlPanel(None, job_params)
+                else:
+                    ctrl_panel = self.ControlPanel(cp_data, self.default)
+
+            job = get_job(
+                self.job_info,
+                ctrl_panel.get("ri-duts-value"),
+                ctrl_panel.get("ri-ttypes-value"),
+                ctrl_panel.get("ri-cadences-value"),
+                ctrl_panel.get("dd-tbeds-value")
+            )
+
+            ctrl_panel.set({"al-job-children": job})
+            fig_passed, fig_duration = \
+                graph_statistics(self.data, job, self.layout)
+
+            ret_val = [
+                ctrl_panel.panel,
+                fig_passed,
+                fig_duration,
+                gen_new_url(parsed_url, {"job": job})
+            ]
+            ret_val.extend(ctrl_panel.values())
+            return ret_val
+
+        @app.callback(
+            Output("download-data", "data"),
+            State("control-panel", "data"),  # Store
+            Input("btn-download-data", "n_clicks"),
+            prevent_initial_call=True
+        )
+        def _download_data(cp_data: dict, n_clicks: int):
+            """Download the data
+
+            :param cp_data: Current status of the control panel stored in
+                browser.
+            :param n_clicks: Number of clicks on the button "Download".
+            :type cp_data: dict
+            :type n_clicks: int
+            :returns: dict of data frame content (base64 encoded) and meta data
+                used by the Download component.
+            :rtype: dict
+            """
+            if not (n_clicks):
+                raise PreventUpdate
+
+            ctrl_panel = self.ControlPanel(cp_data, self.default)
+
+            job = get_job(
+                self.job_info,
+                ctrl_panel.get("ri-duts-value"),
+                ctrl_panel.get("ri-ttypes-value"),
+                ctrl_panel.get("ri-cadences-value"),
+                ctrl_panel.get("dd-tbeds-value")
+            )
+
+            data = select_data(self.data, job)
+            data = data.drop(columns=["job", ])
+
+            return dcc.send_data_frame(
+                data.T.to_csv, f"{job}-{C.STATS_DOWNLOAD_FILE_NAME}")
+
+        @app.callback(
+            Output("row-metadata", "children"),
+            Output("offcanvas-metadata", "is_open"),
+            Input("graph-passed", "clickData"),
+            Input("graph-duration", "clickData"),
+            prevent_initial_call=True
+        )
+        def _show_metadata_from_graphs(
+                passed_data: dict, duration_data: dict) -> tuple:
+            """Generates the data for the offcanvas displayed when a particular
+            point in a graph is clicked on.
+
+            :param passed_data: The data from the clicked point in the graph
+                displaying the pass/fail data.
+            :param duration_data: The data from the clicked point in the graph
+                displaying the duration data.
+            :type passed_data: dict
+            :type duration data: dict
+            :returns: The data to be displayed on the offcanvas (job statistics
+                and the list of failed tests) and the information to show the
+                offcanvas.
+            :rtype: tuple(list, bool)
+            """
+
+            if not (passed_data or duration_data):
+                raise PreventUpdate
+
+            metadata = no_update
+            open_canvas = False
+            title = "Job Statistics"
+            trigger_id = callback_context.triggered[0]["prop_id"].split(".")[0]
+            if trigger_id == "graph-passed":
+                graph_data = passed_data["points"][0].get("hovertext", "")
+            elif trigger_id == "graph-duration":
+                graph_data = duration_data["points"][0].get("text", "")
+            if graph_data:
+                lst_graph_data = graph_data.split("<br>")
+
+                # Prepare list of failed tests:
+                job = str()
+                build = str()
+                for itm in lst_graph_data:
+                    if "csit-ref:" in itm:
+                        job, build = itm.split(" ")[-1].split("/")
+                        break
+                if job and build:
+                    fail_tests = self.data.loc[
+                        (self.data["job"] == job) &
+                        (self.data["build"] == build)
+                    ]["lst_failed"].values[0]
+                    if not fail_tests:
+                        fail_tests = None
+                else:
+                    fail_tests = None
+
+                # Create the content of the offcanvas:
+                metadata = [
+                    dbc.Card(
+                        class_name="gy-2 p-0",
+                        children=[
+                            dbc.CardHeader(children=[
+                                dcc.Clipboard(
+                                    target_id="metadata",
+                                    title="Copy",
+                                    style={"display": "inline-block"}
+                                ),
+                                title
+                            ]),
+                            dbc.CardBody(
+                                id="metadata",
+                                class_name="p-0",
+                                children=[dbc.ListGroup(
+                                    children=[
+                                        dbc.ListGroupItem(
+                                            [
+                                                dbc.Badge(
+                                                    x.split(":")[0]
+                                                ),
+                                                x.split(": ")[1]
+                                            ]
+                                        ) for x in lst_graph_data
+                                    ],
+                                    flush=True),
+                                ]
+                            )
+                        ]
+                    )
+                ]
+
+                if fail_tests is not None:
+                    metadata.append(
+                        dbc.Card(
+                            class_name="gy-2 p-0",
+                            children=[
+                                dbc.CardHeader(
+                                    f"List of Failed Tests ({len(fail_tests)})"
+                                ),
+                                dbc.CardBody(
+                                    id="failed-tests",
+                                    class_name="p-0",
+                                    children=[dbc.ListGroup(
+                                        children=[
+                                            dbc.ListGroupItem(x) \
+                                                for x in fail_tests
+                                        ],
+                                        flush=True),
+                                    ]
+                                )
+                            ]
+                        )
+                    )
+
+                open_canvas = True
+
+            return metadata, open_canvas
diff --git a/csit.infra.dash/app/cdash/stats/layout.yaml b/csit.infra.dash/app/cdash/stats/layout.yaml
new file mode 100644
index 0000000000..488654640f
--- /dev/null
+++ b/csit.infra.dash/app/cdash/stats/layout.yaml
@@ -0,0 +1,79 @@
+plot-stats-passed:
+  autosize: True
+  showlegend: False
+  yaxis:
+    showticklabels: True
+    title: "Number of Passed / Failed Tests"
+    gridcolor: "rgb(238, 238, 238)"
+    linecolor: "rgb(238, 238, 238)"
+    showline: True
+    zeroline: False
+    tickcolor: "rgb(238, 238, 238)"
+    linewidth: 1
+    showgrid: True
+    rangemode: "tozero"
+  xaxis:
+    title: 'Date [MMDD]'
+    type: "date"
+    autorange: True
+    fixedrange: False
+    showgrid: True
+    gridcolor: "rgb(238, 238, 238)"
+    showline: True
+    linecolor: "rgb(238, 238, 238)"
+    zeroline: False
+    linewidth: 1
+    showticklabels: True
+    tickcolor: "rgb(238, 238, 238)"
+    tickmode: "auto"
+    tickformat: "%m%d"
+  margin:
+    r: 20
+    b: 5
+    t: 5
+    l: 70
+  paper_bgcolor: "#fff"
+  plot_bgcolor: "#fff"
+  barmode: "stack"
+  hoverlabel:
+    namelength: -1
+
+plot-stats-duration:
+  autosize: True
+  showlegend: False
+  yaxis:
+    showticklabels: True
+    title: "Duration [hh:mm]"
+    gridcolor: "rgb(238, 238, 238)"
+    linecolor: "rgb(238, 238, 238)"
+    showline: True
+    zeroline: False
+    tickmode: "array"
+    tickcolor: "rgb(238, 238, 238)"
+    linewidth: 1
+    showgrid: True
+    rangemode: "tozero"
+  xaxis:
+    title: 'Date [MMDD]'
+    type: "date"
+    autorange: True
+    fixedrange: False
+    showgrid: True
+    gridcolor: "rgb(238, 238, 238)"
+    showline: True
+    linecolor: "rgb(238, 238, 238)"
+    zeroline: False
+    linewidth: 1
+    showticklabels: True
+    tickcolor: "rgb(238, 238, 238)"
+    tickmode: "auto"
+    tickformat: "%m%d"
+  margin:
+    r: 20
+    b: 5
+    t: 5
+    l: 70
+  paper_bgcolor: "#fff"
+  plot_bgcolor: "#fff"
+  hoverlabel:
+    namelength: -1
diff --git a/csit.infra.dash/app/cdash/stats/stats.py b/csit.infra.dash/app/cdash/stats/stats.py
new file mode 100644
index 0000000000..9b763f84a1
--- /dev/null
+++ b/csit.infra.dash/app/cdash/stats/stats.py
@@ -0,0 +1,49 @@
+# 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.
+
+"""Instantiate the Statistics Dash application.
+"""
+import dash
+
+from ..utils.constants import Constants as C
+from .layout import Layout
+
+
+def init_stats(server, time_period=None):
+    """Create a Plotly Dash dashboard.
+
+    :param server: Flask server.
+    :type server: Flask
+    :returns: Dash app server.
+    :rtype: Dash
+    """
+
+    dash_app = dash.Dash(
+        server=server,
+        routes_pathname_prefix=C.STATS_ROUTES_PATHNAME_PREFIX,
+        external_stylesheets=C.EXTERNAL_STYLESHEETS,
+        title=C.STATS_TITLE
+    )
+
+    layout = Layout(
+        app=dash_app,
+        html_layout_file=C.HTML_LAYOUT_FILE,
+        graph_layout_file=C.STATS_GRAPH_LAYOUT_FILE,
+        data_spec_file=C.DATA_SPEC_FILE,
+        tooltip_file=C.TOOLTIP_FILE,
+        time_period=time_period
+    )
+    dash_app.index_string = layout.html_layout
+    dash_app.layout = layout.add_content()
+
+    return dash_app.server