Callback inside Functions

@ceuzebio wrote:

Hi Guys,

I working in a project based on @nedned github project.

ned code: https://github.com/ned2/dash-django-example

my code: https://github.com/CaioEuzebio/DjangoDashboard/blob/master/app/as_dash.py

However i not sure how can i make my callbacks work inside a routes(functions)

The update_columns callback functions are not working as expected to perform calculations in dash table.

This is the structure.

def dispatcher(request):
    '''
    Main function
    @param request: Request object
    '''

    app = _create_app()
    params = {
        'data': request.body,
        'method': request.method,
        'content_type': request.content_type
    }
    with app.server.test_request_context(request.path, **params):
        app.server.preprocess_request()
        try:
            response = app.server.full_dispatch_request()
        except Exception as e:
            response = app.server.make_response(app.server.handle_exception(e))
        return response.get_data()
    
    


def _create_app():

    ''' Creates dash application '''

    app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
    app.config['suppress_callback_exceptions']=True
    app.layout = dhc.Div(children=[])

    @app.callback(
        dash.dependencies.Output('content', 'children'),
        [dash.dependencies.Input('url', 'pathname')]
    )
    
    def display_page(pathname):

        
        ''' '''
        if not pathname:
            return ''
        if pathname == '/':
            return dash_index()
        method = pathname[1:].replace('-', '_')
        func = getattr(sys.modules[__name__], method, None)
        if func:
            return func()
        return 'Unknown link'

    
    return app


def dash_fig1():
   
    pandas code
    
    return dash core components

    @app.callback(
        Output('computed-table', 'data'),
        [Input('computed-table', 'data_timestamp')],
        [State('computed-table', 'data')])
    def update_columns(timestamp, rows):
        for row in rows:
            try:
                if row['Unidades Pendentes'] != 0:
                    row['UPH_BPI_vs_Head'] = float(row['UPH_BPI_vs_Perfil']) * float(row['Head_Disponível'])
                    row['ETA_Geral'] = float(row['Unidades Pendentes']) / float(row['UPH_BPI_vs_Head'])
                    row['Delta_Hora'] = float(row['Horas_Disp']) - float(row['ETA_Geral'])
                    row['Risco_Aging'] = float(row['Delta_Hora']) * float(row['UPH_BPI_vs_Head'])
                else:
                    row['UPH_BPI_vs_Head'] = "Completed"
                    row['ETA_Geral'] = "Completed"
                    row['Delta_Hora'] = "Completed"
                    row['Risco_Aging'] = "Completed"
                    row['UPH_BPI_vs_Perfil'] = "Completed" 
                    row['Head_Disponível'] = "Completed"
                    row['Horas_Disp'] = "Completed" 
            except:
                row['ETA_Geral'] = 'NA'
                
        return rows


    



    @app.callback(
        Output('table-backlog', 'data'),
        [Input('table-backlog', 'data_timestamp')],
        [State('table-backlog', 'data')])
    def update_columns(timestamp, rows):
        for row in rows:
            try:
                if row['Unidades Pendentes'] != 0:
                    row['Delta Hora'] = float(row['Horas Disp']) - float(row['ETA'])
                    row['Risco Aging'] = float(row['Delta Hora']) * float(row['UPH'])
                else:
                    row['ETA'] = "Completed"
                    
            except:
            
                row['ETA'] = row['ETA']
        return rows

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