'NoneType' object is not callable

Hello, I am trying to make a multi page app in dash, which get and modifies data in mongodb. While I run the app I get an ‘NoneType’ object is not callable , I think it’s because of the
cc variable in the @dash.clientside_callback ( Admin.py). Any help would be highly appreciated


import dash
from dash import html, dcc
import dash_bootstrap_components as dbc

app = dash.Dash(__name__, use_pages=True,suppress_callback_exceptions=True)

app.layout = html.Div(
        # main app framework
        html.Div("Admin Page", style={'fontSize':50, 'textAlign':'center'}),
            dcc.Link(page['name']+"  |  ", href=page['path'])
            for page in dash.page_registry.values()

        # content of each page

if __name__ == "__main__":


import dash                                                     
from dash import html, dcc, Input, Output, State, dash_table
import pandas as pd                                            
import plotly.express as px
import pymongo                                                  
from bson.objectid import ObjectId
import dash_bootstrap_components as dbc

client = pymongo.MongoClient("mongodb+srv://HARSHA:123@cargoshipmanagementsyst.kgitmho.mongodb.net/?retryWrites=true&w=majority")
db = client["cargo"]

collection = db["Billing"]

layout = html.Div(children = [
    html.H1('ADMIN PAGE', style={'textAlign': 'center'}),
    # interval activated once/week or when page refreshed
    dcc.Interval(id='interval_db', interval=86400000 * 7, n_intervals=0),
    html.Div(id='mongo-datatable', children=[]),

        html.Div(id='pie-graph', className='five columns'),
        html.Div(id='hist-graph', className='six columns'),
    ], className='row'),

# Display Datatable with data from Mongo database
@dash.callback(Output('mongo-datatable', component_property='children'),
              Input('interval_db', component_property='n_intervals')
def populate_datatable(n_intervals):
    # Convert the Collection (table) date to a pandas DataFrame
    df = pd.DataFrame(list(collection.find()))
    # Convert id from ObjectId to string so it can be read by DataTable
    df['_id'] = df['_id'].astype(str)

    return [
            columns=[{'id': p, 'name': p, 'editable': False} if p == '_id'
                     else {'id': p, 'name': p, 'editable': True}
                     for p in df],
# store the row id and column id of the cell that was updated
    function (input,oldinput) {
        if (oldinput != null) {
            if(JSON.stringify(input) != JSON.stringify(oldinput)) {
                for (i in Object.keys(input)) {
                    newArray = Object.values(input[i])
                    oldArray = Object.values(oldinput[i])
                    if (JSON.stringify(newArray) != JSON.stringify(oldArray)) {
                        entNew = Object.entries(input[i])
                        entOld = Object.entries(oldinput[i])
                        for (const j in entNew) {
                            if (entNew[j][1] != entOld[j][1]) {
                                changeRef = [i, entNew[j][0]] 
            return changeRef
    Output('changed-cell', 'data'),
    Input('our-table', 'data'),
    State('our-table', 'data_previous')

# Update MongoDB and create the graphs
    Output("pie-graph", "children"),
    Output("hist-graph", "children"),
    Input("changed-cell", "data"),
    Input("our-table", "data"),

def update_d(cc,tabledata):
    if not cc:
        # Build the Plots
        pie_fig = px.pie(tabledata, values='No Of Containers', names='Container Type')
        hist_fig = px.bar(tabledata, x='Dimensions', y='Amount')
        print(f'changed cell: {cc}')
        print(f'Current DataTable: {tabledata}')
        x = int(cc[0])

        # update the external MongoDB
        row_id = tabledata[x]['Order_id']
        col_id = cc[1]
        new_cell_data = tabledata[x][col_id]
        collection.update_one({'Order_id': row_id},
                              {"$set": {col_id: new_cell_data}})
        # Operations guide - https://docs.mongodb.com/manual/crud/#update-operations

        pie_fig = px.pie(tabledata, values='No Of Containers', names='Container Type')
        hist_fig = px.px.bar(tabledata, x='Dimensions', y='Amount')

    return dcc.Graph(figure=pie_fig), dcc.Graph(figure=hist_fig)


I did not dig too deep into this, but as you mentioned the variable cc I took a look at this part of your code. if I understand correctly, you want your callback function update_d to do different things depending on the triggering input.

If so, you could use callback_context to achieve this, as stated in here:

Another example::

I couldn’t figure out how to use it

HI, what I am suggesting is, that you substitute this part of your code:

Using the callback_context in order to distinguish between the triggering Input. But as I said before, itis only a guess since you mentioned the variable cc in your initial post.

Man, I tried reading it and implementing it. I just can’t get it to work, it keeps showing me the same error. I am relatively new to programming. Do you mind sharing me the fix with me?

The python code I shared should work in any computer