from app import *
from apps import upload_data, summery, apriori, monthly, home, covid_19, machine_learning, update_data, data, conversion_rate

navbar = dbc.NavbarSimple([
            dbc.NavItem(dbc.NavLink("Summery data", href="/summery")),
            dbc.NavItem(dbc.NavLink("Monthly data", href="/monthly")),
            dbc.NavItem(dbc.NavLink("Conversion rate", href="/conversion_rate")),
            dbc.NavItem(dbc.NavLink("Covid-19", href="/covid_19")),
            dbc.DropdownMenu([
                dbc.NavLink("Market Basket", href="/apriori"),
                dbc.NavLink("Machine Learning", href="/machine_learning"),
                ], label='Machine Learning', color="primary"),
            dbc.DropdownMenu([
                dbc.NavLink("Upload data", href="/upload_data"),
                ], label='Other', color="primary"),
            ], brand="CIEF Dashbaord", brand_href="/", color="primary", dark=True)

app.layout = html.Div([
    data.layout,
    update_data.layout,
    dcc.Location(id='input-url'),
    navbar,
    html.Div(id='output-page_content'),
    ])

@app.callback(Output('output-page_content', 'children'),
              [Input('input-url', 'pathname')])
def display_page(pathname):
    if pathname == '/summery':
        return summery.layout
    elif pathname == '/upload_data':
        return upload_data.layout
    elif pathname == '/apriori':
        return apriori.layout
    elif pathname == '/monthly':
        return monthly.layout
    elif pathname == '/conversion_rate':
        return conversion_rate.layout
    elif pathname == '/covid_19':
        return covid_19.layout
    elif pathname == '/machine_learning':
        return machine_learning.layout
    else:
        return home.layout

if __name__ == '__main__':
    -app.run_server(host='::',port='8055',debug=True)