UTI: PoC - Dash application for Trending

[csit.git] / resources / tools / dash / app / pal / trending / dashboard.py

diff --git a/resources/tools/dash/app/pal/trending/dashboard.py b/resources/tools/dash/app/pal/trending/dashboard.py
deleted file mode 100644 (file)
index ee5ea51..0000000
--- a/resources/tools/dash/app/pal/trending/dashboard.py
+++ /dev/null
@@ -1,69 +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.
-
-"""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