mirror of
https://gitlab.com/CIEFWorldwideSdnBhd/cief-dashboard.git
synced 2026-08-19 04:24:13 +00:00
shangqian22
48 lines
1.8 KiB
Python
Executable File
48 lines
1.8 KiB
Python
Executable File
from app import *
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from apps import upload_data, summery, apriori, monthly, home, covid_19, machine_learning, update_data, data, conversion_rate
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navbar = dbc.NavbarSimple([
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dbc.NavItem(dbc.NavLink("Summery data", href="/summery")),
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dbc.NavItem(dbc.NavLink("Monthly data", href="/monthly")),
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dbc.NavItem(dbc.NavLink("Conversion rate", href="/conversion_rate")),
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dbc.NavItem(dbc.NavLink("Covid-19", href="/covid_19")),
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dbc.DropdownMenu([
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dbc.NavLink("Market Basket", href="/apriori"),
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dbc.NavLink("Machine Learning", href="/machine_learning"),
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], label='Machine Learning', color="primary"),
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dbc.DropdownMenu([
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dbc.NavLink("Upload data", href="/upload_data"),
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], label='Other', color="primary"),
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], brand="CIEF Dashbaord", brand_href="/", color="primary", dark=True)
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app.layout = html.Div([
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data.layout,
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update_data.layout,
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dcc.Location(id='input-url'),
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navbar,
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html.Div(id='output-page_content'),
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])
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@app.callback(Output('output-page_content', 'children'),
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[Input('input-url', 'pathname')])
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def display_page(pathname):
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if pathname == '/summery':
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return summery.layout
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elif pathname == '/upload_data':
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return upload_data.layout
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elif pathname == '/apriori':
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return apriori.layout
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elif pathname == '/monthly':
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return monthly.layout
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elif pathname == '/conversion_rate':
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return conversion_rate.layout
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elif pathname == '/covid_19':
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return covid_19.layout
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elif pathname == '/machine_learning':
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return machine_learning.layout
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else:
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return home.layout
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if __name__ == '__main__':
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-app.run_server(host='::',port='8055',debug=True)
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