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# 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 pandas as pd
import dash_bootstrap_components as dbc
from dash import dcc
from dash import html
from dash import Input, Output
from dash.exceptions import PreventUpdate
from yaml import load, FullLoader, YAMLError
from datetime import datetime, timedelta
from ..data.data import Data
from .graphs import graph_statistics
class Layout:
"""
"""
def __init__(self, app, html_layout_file, spec_file, graph_layout_file,
data_spec_file):
"""
"""
# Inputs
self._app = app
self._html_layout_file = html_layout_file
self._spec_file = spec_file
self._graph_layout_file = graph_layout_file
self._data_spec_file = data_spec_file
# Read the data:
data_stats, data_mrr, data_ndrpdr = Data(
data_spec_file=self._data_spec_file,
debug=True
).read_stats(days=180)
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"]]
self._jobs = sorted(list(data_stats["job"].unique()))
tst_info = {
"job": list(),
"build": list(),
"dut_type": list(),
"dut_version": list(),
"hosts": list(),
"passed": list(),
"failed": list()
}
for job in self._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]
except KeyError:
failed = 0
tst_info["passed"].append(passed)
tst_info["failed"].append(failed)
self._data = data_stats.merge(pd.DataFrame.from_dict(tst_info))
# Read from files:
self._html_layout = ""
self._graph_layout = None
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"
f"{err}"
)
self._default_fig_passed, self._default_fig_duration = graph_statistics(
self.data, self.jobs[0], 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 jobs(self) -> list:
return self._jobs
def add_content(self):
"""
"""
if self.html_layout:
return html.Div(
id="div-main",
children=[
dbc.Row(
id="row-navbar",
class_name="g-0",
children=[
self._add_navbar(),
]
),
dbc.Row(
id="row-main",
class_name="g-0",
children=[
dcc.Store(
id="selected-tests"
),
dcc.Store(
id="control-panel"
),
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.
"""
return dbc.NavbarSimple(
id="navbarsimple-main",
children=[
dbc.NavItem(
dbc.NavLink(
"Continuous Performance Statistics",
disabled=True,
external_link=True,
href="#"
)
)
],
brand="Dashboard",
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.
"""
return dbc.Col(
id="col-controls",
children=[
self._add_ctrl_panel(),
],
)
def _add_plotting_col(self) -> dbc.Col:
"""Add column with plots and tables. It is placed on the right side.
"""
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( # Download
id="row-btn-download",
class_name="g-0 p-2",
children=[
dcc.Loading(children=[
dbc.Button(
id="btn-download-data",
children=["Download Data"]
),
dcc.Download(id="download-data")
])
]
)
],
width=9,
)
def _add_ctrl_panel(self) -> dbc.Row:
"""
"""
return dbc.Row(
id="row-ctrl-panel",
class_name="g-0 p-2",
children=[
dbc.Label("Choose the Trending Job"),
dbc.RadioItems(
id="ri_job",
value=self.jobs[0],
options=[{"label": i, "value": i} for i in self.jobs]
),
dbc.Label("Choose the Time Period"),
dcc.DatePickerRange(
id="dpr-period",
className="d-flex justify-content-center",
min_date_allowed=\
datetime.utcnow()-timedelta(days=180),
max_date_allowed=datetime.utcnow(),
initial_visible_month=datetime.utcnow(),
start_date=datetime.utcnow() - timedelta(days=180),
end_date=datetime.utcnow(),
display_format="D MMMM YY"
)
]
)
def callbacks(self, app):
@app.callback(
Output("graph-passed", "figure"),
Output("graph-duration", "figure"),
Input("ri_job", "value"),
Input("dpr-period", "start_date"),
Input("dpr-period", "end_date"),
prevent_initial_call=True
)
def _update_ctrl_panel(job:str, d_start: str, d_end: str) -> tuple:
"""
"""
d_start = datetime(int(d_start[0:4]), int(d_start[5:7]),
int(d_start[8:10]))
d_end = datetime(int(d_end[0:4]), int(d_end[5:7]), int(d_end[8:10]))
fig_passed, fig_duration = graph_statistics(
self.data, job, self.layout, d_start, d_end
)
return fig_passed, fig_duration
@app.callback(
Output("download-data", "data"),
Input("btn-download-data", "n_clicks"),
prevent_initial_call=True
)
def _download_data(n_clicks):
"""
"""
if not n_clicks:
raise PreventUpdate
return dcc.send_data_frame(self.data.to_csv, "statistics.csv")
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