Dash的多页面应用的url链接无效

Question

我在使用多页应用程序时遇到问题。我的观点是从数据库中绘制一些图表，每个页面都应该是一个绘图，至少从一开始就是这样。 问题是，如果我独立运行布局，它们会工作，但当我从索引启动时，我获得了正确的布局，但链接无效，当我单击它时，什么也不会发生。因此，我认为问题来自index.py。我不熟悉Dash和HTML，所以我想我遗漏了一些东西，即使我已经阅读了这里的文档：https://dash.plot.ly/urls

这是我的树：

-main
|-app.py
|-index.py
|-layouts
  |-layout.py
  |-... .py

还有我的密码， app.py

import dash

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
server = app.server
app.config.suppress_callback_exceptions = True

index.py

import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from app import app
from app import server
from layouts import OverallPerWeek, OverallTotal, DAI, HAFMAP, JLR

app.layout = html.Div([
    dcc.Location(id='url', refresh=False),
    dcc.Link('Navigate to "/OverallPerWeek"', href='/OverallPerWeek'),

    html.Br(),
    dcc.Link('Navigate to "/OverallTotal"', href='/OverallTotal'),
    html.Div(id='page-content')
])

@app.callback(Output('page-content', 'children'),
              [Input('url', 'pathname')])
def display_page(pathname):
    if pathname == '/OverallPerWeek':
        return OverallPerWeek
    elif pathname == '/OverallTotal':
        return OverallTotal
    else:
        return 'Error 404'

app.css.append_css({
    'external_url': 'https://codepen.io/chriddyp/pen/bWLwgP.css'
})


if __name__ == '__main__':
    app.run_server(debug=False)

OverallPerWeek.py（布局之一）

import pandas as pd
import dash_core_components as dcc
import dash_html_components as html
import dash_table as dt
import dash.dependencies
from dash.dependencies import Input, Output, State
import plotly
import plotly.graph_objects as go
from plotly.subplots import make_subplots

#Import module from parent folder
import os,sys,inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0,parentdir) 
from app import app

#-----------------Get the .csv files-----------------------------------------------
df_overall = pd.read_csv('C:Internal_Project\\Data_repository\\Results_DB\\CSV\\WeeklyReportResults.csv')
df_DAI = pd.read_csv('C:Internal_Project\\Data_repository\\Results_DB\\CSV\\ResultsIDC5.csv')
df_MAP = pd.read_csv('C:Internal_Project\\Data_repository\\Results_DB\\CSV\\ResultsMAP.csv')
df_JLR = pd.read_csv('C:Internal_Project\\Data_repository\\Results_DB\\CSV\\ResultsJLR.csv')

layout_OverallPerWeek = html.Div([
    html.H1('Test Center Weekly Status 2019 CW 47'),
    html.H2('Number of opened DAI, JLR, MAP -tickets per week'),
    #Database Subplot
    html.Div([
        dcc.Graph(id='datatable-subplots-OverallPerWeek')
    ]),

    #Slider
    html.Div([
        dcc.Slider(
            id='year-slider',
            min=df_DAI['ResultsID'].min(),
            max=df_DAI['ResultsID'].max(),
            value=df_DAI['ResultsID'].min(),
            marks={str(year): str(year) for year in df_DAI['ResultsID'].unique()},
            step=None
        )
    ]),

    #First dt
    html.Div([
            dt.DataTable(
            id='TableResultsIDC5',
            columns=[{"name": i, "id": i} for i in df_DAI.columns],
            data=df_DAI.to_dict('records'),
            editable=False,
            row_selectable='multi',
            filter_action='native',
            sort_action='native',
            selected_rows=[]
        ),
    ], style={'width': '50%', 'display': 'inline-block'}
    ),

    #Second dt
    html.Div([
        dt.DataTable(
            id='overall',
            columns=[{"name": i, "id": i} for i in df_overall.columns],
            data=df_overall.to_dict('records'),
            editable=False,
            row_selectable='multi',
            filter_action='native',
            sort_action='native',
            selected_rows=[]
            )
    ], style={'width': '50%', 'display': 'inline-block'}
    ),

    html.Div(id='OverallPerWeek'),
    html.Br()
])

app.layout = html.Div(children=[layout_OverallPerWeek])

#-------------app callbacks-------------------------------------------
@app.callback(Output('TableResultsIDC5', 'selected_rows'), 
            [Input('datatable-subplots-OverallPerWeek', 'clickData')], 
            [State('TableResultsIDC5', 'selected_rows')])

def updated_selected_row_indices(clickData, selected_rows):
    if clickData:
        for point in clickData['points']:
            if point['pointNumber'] in selected_rows:
                selected_rows.remove(point['pointNumber'])
            else:
                selected_rows.append(point['pointNumber'])
    return selected_rows

@app.callback(
    Output('datatable-subplots-OverallPerWeek', 'figure'), 
    [Input('TableResultsIDC5', 'data'),
    Input('TableResultsIDC5', 'selected_rows')]
    )

def update_figure(data, selected_rows):
    dff = pd.DataFrame(data)
    fig = plotly.subplots.make_subplots(rows=2, cols=3, 
    subplot_titles=("Total close", "Number of Opened Tickets / Week", "Total in Progress", "Opened HAFMap-tickets and SP","Opened DAI-tickets and SP","Opened JLR-tickets and SP"),
    shared_xaxes=True)

    #Add traces for Total Close
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_DAI["ClosedTicketsTotal_perCW"], name = "DAI", line={'color': 'green'}), row=1, col=1)
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_JLR["ClosedTicketsTotal_perCW"], name = "JLR", line={'color': 'purple'}), row=1, col=1)
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_MAP["ClosedTicketsTotal_perCW"], name = "MAP", line={'color': 'grey'}), row=1, col=1)

    #Add traces for Number of Opened Tickets / Week
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_DAI["OpenTickets_perCW_Count"], name = "DAI", line={'color': 'green'}, showlegend=False), row=1, col=2)
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_JLR["OpenTickets_perCW_Count"], name = "JLR", line={'color': 'purple'}, showlegend=False), row=1, col=2)
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_MAP["OpenTickets_perCW_Count"], name = "MAP", line={'color': 'grey'}, showlegend=False), row=1, col=2)

    #Add traces for Total in Progress
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_DAI["InProgressTicketsTotal"], name = "DAI", line={'color': 'green'}, showlegend=False), row=1, col=3)
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_JLR["InProgressTicketsTotal"], name = "JLR", line={'color': 'purple'}, showlegend=False), row=1, col=3)
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_MAP["InProgressTicketsTotal"], name = "MAP", line={'color': 'grey'}, showlegend=False), row=1, col=3)

    #Add traces for Opened HAFMap-tickets and SP
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_MAP["OpenTickets_perCW_SPsum"], name = "MAP", line={'color': 'grey'}, showlegend=False), row=2, col=1)
    fig.add_trace(go.Bar(x = dff["ResultsID"], y = df_MAP["OpenTicketsTotal"], name = "Tickets", marker=dict(color='skyblue')), row=2, col=1)

    #Add traces for Opened DAI-tickets and SP
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_DAI["OpenTickets_perCW_SPsum"], name = "DAI", showlegend=False), row=2, col=2)
    fig.add_trace(go.Bar(x = dff["ResultsID"], y = df_DAI["OpenTicketsTotal"], name = "DAI", marker=dict(color='skyblue'), showlegend=False), row=2, col=2)

    #Add traces for Opened JLR-tickets and SP
    fig.add_trace(go.Scatter(x = dff["ResultsID"], y = df_JLR["OpenTickets_perCW_SPsum"], name = "JLR", line={'color': 'purple'}, showlegend=False), row=2, col=3)
    fig.add_trace(go.Bar(x = dff["ResultsID"], y = df_JLR["OpenTicketsTotal"], name = "JLR", marker=dict(color='skyblue'), showlegend=False), row=2, col=3)

    fig.update_layout(height=900, width=1900)

    return fig

提前感谢您的帮助：D