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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.
"""Instantiate a Dash app."""
import dash
from dash import dcc
from dash import html
from dash import dash_table
import numpy as np
import pandas as pd
from .data import create_dataframe
from .layout import html_layout
def init_dashboard(server):
"""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="/trending/",
external_stylesheets=[
"/static/dist/css/styles.css",
"https://fonts.googleapis.com/css?family=Lato",
],
)
# Load DataFrame
df = create_dataframe()
# Custom HTML layout
dash_app.index_string = html_layout
# Create Layout
dash_app.layout = html.Div(
children=[
create_data_table(df),
],
id="dash-container",
)
return dash_app.server
def create_data_table(df):
"""Create Dash datatable from Pandas DataFrame."""
table = dash_table.DataTable(
id="database-table",
columns=[{"name": i, "id": i} for i in df.columns],
data=df.to_dict("records"),
sort_action="native",
sort_mode="native",
page_size=300,
)
return table
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