Dash 引导组件选项卡中的 iframe 问题

Question

我有一个为天气雷达图像创建 url 的回调。这包括一个时间戳，该时间戳四舍五入到相对于当前时间最接近的 5 分钟。示例如下所示。

'https://www.metoffice.gov.uk/weather/maps-and-charts/rainfall-radar-forecast-map#?bbox=[[50.546,-2.200],[52.140,2.944]]&model=ukmo -ukv&layer=降雨率×tep=1680109809000'

如果我将其直接粘贴到浏览器中，一切都很好。但是，当提供到 Iframe 时，我收到一条错误消息。不是找不到url，只是不喜欢显示的时间步长

Iframe 的代码如下：

       dbc.Tab([
        dbc.Row([
            dbc.Col([
                html.H1(children='Data is usually updated every 2 hours', style=style_2),
            ], width=2, style={'height': '100vh'}),
            dbc.Col([

                html.Br(), html.H1(children='Weather Forecast.', style=style_1),
                html.H1(children='Current radar', style=style_2),
                html.Iframe(id='radar',src=rain_radar, style={"height": "600px", "width": "100%"}),
                dcc.Graph(id='forecast_rain_prob', figure=fig_forecast_rain_prob, config=config),
                html.Br(),
                dcc.Graph(id='forecast_daily_rain_prob', figure=fig_daily_rain_prob, config=config),
                html.Br(),
                dcc.Graph(id='forecast_temperature', figure=fig_tempreture, config=config),
                html.Br(),
                dcc.Graph(id='forecast_cloud', figure=fig_cloud, config=config),
                html.Br(),
                html.Br(),
                dcc.Graph(id='wind_speed', figure=fig_wind, config=config),
                dcc.Graph(id='wind_direction', figure=fig_wind_direction, config=config),
                dcc.Interval(id="forecast_trigger", interval=1000 * 60 * 60 * 2),  # milliseconds

            ])
        ])
    ], label="Weather forecast",tab_id='tab-7'),  # end tab

真正奇怪的是，有时它确实有效。任何建议将不胜感激！

编辑： 伟大的点埃里克重新回调。是这个

@app.callback([Output('forecast_rain_prob', 'figure'), #forecast tab
            Output('forecast_temperature', 'figure'),
            Output('wind_speed', 'figure'),
            Output('wind_direction', 'figure'),
            Output('radar', 'src'),
            Output('forecast_cloud','figure'),
            Output('forecast_daily_rain_prob','figure')
           ],
          Input('forecast_trigger', 'n_intervals'))
def update_forecast(n):
    fig_forecast_rain_prob,fig_tempreture,fig_wind,fig_wind_direction,fig_river_forcast,  fig_cloud, rain_radar, fig_daily_rain, df_daily_forecast = forecast.get_open_meteo_forecast()
    update_time = datetime.now()

return fig_forecast_rain_prob,fig_tempreture,fig_wind,fig_wind_direction, rain_radar, fig_cloud,fig_daily_rain