Use Dash to Build to Web Apps on Quickbase Data

User Token Authentication

To authenticate with a user token, specify the following connection properties:

1. Set UserToken and you are ready to connect. You can find the UserToken under Quick Base > My Preferences > My User Information > Manage User Tokens.

After installing the CData Quickbase Connector, follow the procedure below to install the other required modules and start accessing Quickbase through Python objects.

Install Required Modules

Use the pip utility to install the required modules and frameworks:

pip install pandas
pip install dash
pip install dash-daq

Visualize Quickbase Data in Python

Once the required modules and frameworks are installed, we are ready to build our web app. Code snippets follow, but the full source code is available at the end of the article.

First, be sure to import the modules (including the CData Connector) with the following:

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.quickbase as mod
import plotly.graph_objs as go

You can now connect with a connection string. Use the connect function for the CData Quickbase Connector to create a connection for working with Quickbase data.

cnxn = mod.connect("[email protected];Password=password;Domain=myinstance.quickbase.com;ApplicationToken=bwkxrb5da2wn57bzfh9xn24")

Execute SQL to Quickbase

Use the read_sql function from pandas to execute any SQL statement and store the result set in a DataFrame.

df = pd.read_sql("SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100'", cnxn)

Configure the Web App

With the query results stored in a DataFrame, we can begin configuring the web app, assigning a name, stylesheet, and title.

app_name = 'dash-quickbaseedataplot'

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

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'

Configure the Layout

The next step is to create a bar graph based on our Quickbase data and configure the app layout.

trace = go.Bar(x=df.Id, y=df.Column1, name='Id')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='Quickbase SampleTable_1 Data', barmode='stack')
		})
], className="container")

Set the App to Run

With the connection, app, and layout configured, we are ready to run the app. The last lines of Python code follow.

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

Now, use Python to run the web app and a browser to view the Quickbase data.

python quickbase-dash.py

Free Trial & More Information

Download a free, 30-day trial of the CData Python Connector for Quickbase to start building Python apps with connectivity to Quickbase data. Reach out to our Support Team if you have any questions.

Full Source Code

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.quickbase as mod
import plotly.graph_objs as go

cnxn = mod.connect("[email protected];Password=password;Domain=myinstance.quickbase.com;ApplicationToken=bwkxrb5da2wn57bzfh9xn24")

df = pd.read_sql("SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100'", cnxn)
app_name = 'dash-quickbasedataplot'

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

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'
trace = go.Bar(x=df.Id, y=df.Column1, name='Id')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='Quickbase SampleTable_1 Data', barmode='stack')
		})
], className="container")

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