Firing multiple callbacks one after the other

@gshetty wrote:

Hi,
I’m new to dash. I want to fire update_output() function’s callback first and after a delay of few seconds,fire other callbacks. I’m not able to do it since all the callbacks load at the beginning only.
Please provide me help.

Here is my code.

from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
import base64
import io
import os
import pandas as pd
import dash
import time
#import numpy as np
from app import app
import chu
import fra
import tabs1
#from tabs1 import fraud, crosssell, churn , segmentation


image_filename = 'C:\\Users\\gagan.shetty\\Multiple_Models\\data\\image_2020_04_01T11_49_41_982Z.png'
encoded_image = base64.b64encode(open(image_filename, 'rb').read())


import dash_table as dt
style = {'maxWidth': '960px', 'margin': 'auto'}
#print(dcc.__version__) # 0.6.0 or above is required

UPLOAD_DIRECTORY = "C:/Users/gagan.shetty/Multiple_Models/pro/app_uploaded_files"

if not os.path.exists(UPLOAD_DIRECTORY):
    os.makedirs(UPLOAD_DIRECTORY)
app.layout = html.Div(
                        style={
                           'verticalAlign':'middle',
                          'textAlign': 'center'}
#                         
                            ,children=[
                    
    dcc.Location(id='url', refresh=False),
   
    html.Br(),
    html.Div(id='page-content'),
    
])

index_page = html.Div([
      dcc.Upload(
        id='upload-data',
        children=html.Div([
            'Drag and Drop or ',
            html.A('Select Files')
        ]),
        style={
            'width': '95%',
            'height': '60px',
            'lineHeight': '60px',
            'borderWidth': '1px',
            'borderStyle': 'dashed',
            'borderRadius': '5px',
            'textAlign': 'center',
            'margin': '10px'
        },
    ),
        html.Div(id="file-list"),
         dcc.Link([html.Button('Click here for next page')], href='/page-1'),
         html.Br(),html.Br(),
        html.Div(id='output-data-upload'),

   
    html.Br(),

    html.Br(),
    
    
])

page_1_layout = html.Div([
    dcc.Link([html.Button('Click here for EDA dashboards')], href='/page-3'),
    html.Br(),html.Br(),html.Br(),
    dcc.Link([html.Button('Click here for model run')], href='/page-4'),
    html.Br(),html.Br(),html.Br(),
    
    dcc.Link([html.Button('Go back to home')], href='/'),
    
   
    html.Div(id='page-1-content'),
    
    html.Div(id='output-data'),
    

    


])



    

    
tabs_styles = {
    'width': '1100px'
}
page_3_layout = html.Div([
        
    dcc.Markdown('## Dashboards'),
    dcc.Tabs(id='tabs1', value='tab1-fraud', children=[
        dcc.Tab(label='Fraud', value='tab1-fraud'),
        dcc.Tab(label='Segmentation', value='tab-segmentation'),
        dcc.Tab(label='Churn', value='tab1-churn'),
        dcc.Tab(label='CrossSell', value='tab1-crosssell'),
    ],style=tabs_styles),
    dcc.Link([html.Button('Go to home page')], href='/'),
    html.Br(),html.Br(),
    html.Div(id='tabs1-content'),
    
    
    
], style=style)


page_4_layout= html.Div(([
        dcc.Link([html.Button('churn')], href='/page-5'),
        html.Br(),html.Br(),
        dcc.Link([html.Button('Fraud')], href='/page-6'),
        html.Br(),html.Br(),
        dcc.Link([html.Button('Home Page')], href='/'),
        html.Br(),html.Br()
        
        
   ]))


page_5_layout=html.Div([
        dcc.Markdown('## Churn'),
        
        
        ])




def parse_contents(contents, filename, date):
    content_type, content_string = contents.split(',')

    decoded = base64.b64decode(content_string)
    try:
        if 'csv' in filename:
            # Assume that the user uploaded a CSV file
            df = pd.read_csv(
                io.StringIO(decoded.decode('utf-8')))
        elif 'xls' in filename:
            # Assume that the user uploaded an excel file
            df = pd.read_excel(io.BytesIO(decoded))
    except Exception as e:
        print(e)
        return html.Div([
            'There was an error processing this file.'
        ])
    
    return filename,df


def uploaded_files():
    """List the files in the upload directory."""
    files = []
    for filename in os.listdir(UPLOAD_DIRECTORY):
        path = os.path.join(UPLOAD_DIRECTORY, filename)
        if os.path.isfile(path):
            files.append(filename)
    return files



def save_file(name, content):
    """Decode and store a file uploaded with Plotly Dash."""
    data = content.encode("utf8").split(b";base64,")[1]
    with open(os.path.join(UPLOAD_DIRECTORY, name), "wb") as fp:
        fp.write(base64.decodebytes(data))
   


@app.callback(Output('output-data-upload', 'children'),
              [Input('upload-data', 'contents'),
               Input('upload-data', 'filename'),
               Input('upload-data', 'last_modified')])
def update_output(contents, filename, date):
    if contents is not None:
        #parse_contents(contents, filename, date)
        filename, df = parse_contents(contents, filename, date)
        def chkd(col):
            if col.dtype== 'float64' or col.dtype == 'Int64':
                return 'Continuous'
            else:
                return 'Categorical'
        df1=df.describe(include='all') 
        df1=df1.round(2)
        df_tab=pd.DataFrame(df1).stack().unstack(0)
        
        try:
            df_tab['cnt_null'] = df.apply(lambda col: col.isnull().sum())
            df_tab['Null_%'] = df_tab.apply(lambda row: round((row['cnt_null']/(row['cnt_null']+row['count']))*100,2), axis=1)
            df_tab['Cnt_zeros'] = df.isin([0]).sum(axis=0)
            df_tab['Data_Type'] = df.dtypes
            df_tab['Variance']=df.var(axis=0)
            df_tab['mode'] = df.mode().iloc[0,:]
            df_tab['1%'] = df.quantile(0.01)
            df_tab['5%'] = df.quantile(0.05)
            df_tab['10%'] = df.quantile(0.1)
            df_tab['90%'] = df.quantile(0.9)
            df_tab['95%'] = df.quantile(0.95)
            df_tab['99%'] = df.quantile(0.99)
            df_tab['skew']=df.skew(axis=0)
            df_tab['kurtosis']=df.kurt(axis=0)
            df_tab['Variable_Type'] = df.apply(lambda col: 'Categorical' if col.dtype=='object' else chkd(col))
        
        
        except TypeError:
            pass
        
        df_tab=df_tab.reset_index(level=0)
        
        df_tab.rename(columns={'50%':'median'},inplace=True)
        df_tab.rename(columns={'count':'cnt_non_null'},inplace=True)
        df_tab.rename(columns={'index':'Variable'},inplace=True) 
        
        df_tab=df_tab[['Variable','Variable_Type','Data_Type','cnt_non_null','cnt_null','Null_%','Cnt_zeros','mean','std','mode','min','1%','5%','10%','25%','median','75%','90%','95%','99%','max','Variance','skew','kurtosis']]
#        df_tab = pd.DataFrame(df_tab)
#        df_tab=df_tab.reset_index(level=0)
        df_ta=df_tab.round(2)
        #cols=[{'name': i, 'id': i} for i in df_tab.columns]
        df_ta = df_ta.sort_values(by ='Variable_Type',ascending=False)
        print("wait for 3 sec")
         
        time.sleep(3)
        
        df_ta.to_csv('uni.csv')
        
        new_df = pd.read_csv('uni.csv')
   
       
        table = html.Div([
            html.H5(filename),
            dt.DataTable(
               data=new_df.to_dict('records'),
               columns=[{'name': i, 'id': i} for i in df_ta.columns]
            ),
            ])        
                
        return table
    
@app.callback(Output('page-content', 'children'),
              [Input('url', 'pathname')])
def display_page(pathname):
    if pathname == '/page-1':
        return page_1_layout
#    elif pathname == '/page-2':
#        return page_2_layout
    elif pathname =='/page-3':
        return page_3_layout
    elif pathname == '/page-4':
        return page_4_layout
    elif pathname == '/page-5':
        return chu.layout
    elif pathname == '/page-6':
        return fra.layout
    else:
        return index_page

@app.callback(Output('tabs1-content', 'children'),
              [Input('tabs1', 'value')])
def render_content(tab):
    if tab == 'tab1-fraud': return tabs1.fraud.layout
    elif tab == 'tab-segmentation': return tabs1.segmentation.layout
    elif tab == 'tab1-churn': return tabs1.churn.layout
    elif tab == 'tab1-crosssell': return tabs1.crosssell.layout 
      
       

if __name__ == '__main__':
    app.run_server(debug=True,port=2222)

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Participants: 1

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