"""Instantiate the Trending Dash applocation.
"""
import dash
-from dash import dcc
-from dash import html
-from dash import dash_table
-import numpy as np
-import pandas as pd
+import dash_bootstrap_components as dbc
-from .data import create_dataframe
from .layout import Layout
-def init_trending(server):
+def init_trending(server, time_period=None):
"""Create a Plotly Dash dashboard.
:param server: Flask server.
dash_app = dash.Dash(
server=server,
routes_pathname_prefix=u"/trending/",
- external_stylesheets=[
- u"/static/dist/css/styles.css",
- u"https://fonts.googleapis.com/css?family=Lato",
- ],
+ external_stylesheets=[dbc.themes.LUX],
)
- # Load DataFrame
- df = create_dataframe()
-
# Custom HTML layout
layout = Layout(
app=dash_app,
- html_layout_file="pal/trending/html_layout.txt",
- spec_file="pal/trending/spec_test_selection.yaml"
+ html_layout_file="pal/templates/trending_layout.jinja2",
+ spec_file="pal/trending/spec_test_selection.yaml",
+ graph_layout_file="pal/trending/layout.yaml",
+ data_spec_file="pal/data/data.yaml",
+ tooltip_file="pal/data/tooltips.yaml",
+ time_period=time_period
)
dash_app.index_string = layout.html_layout
dash_app.layout = layout.add_content()
return dash_app.server
-
-
-def create_data_table(df):
- """Create Dash datatable from Pandas DataFrame.
-
- DEMO
- """
-
- table = dash_table.DataTable(
- id=u"database-table",
- columns=[{u"name": i, u"id": i} for i in df.columns],
- data=df.to_dict(u"records"),
- sort_action=u"native",
- sort_mode=u"native",
- page_size=10,
- )
- return table