diff options
Diffstat (limited to 'resources/tools/dash/app/pal/trending/dashboard.py')
-rw-r--r-- | resources/tools/dash/app/pal/trending/dashboard.py | 69 |
1 files changed, 69 insertions, 0 deletions
diff --git a/resources/tools/dash/app/pal/trending/dashboard.py b/resources/tools/dash/app/pal/trending/dashboard.py new file mode 100644 index 0000000000..ee5ea5123f --- /dev/null +++ b/resources/tools/dash/app/pal/trending/dashboard.py @@ -0,0 +1,69 @@ +# 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 |