Use Dash to Build to Web Apps on Authorize.Net Data

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for Authorize.Net, the pandas module, and the Dash framework, you can build Authorize.Net-connected web applications for Authorize.Net data. This article shows how to connect to Authorize.Net with the CData Connector and use pandas and Dash to build a simple web app for visualizing Authorize.Net data.

With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Authorize.Net data in Python. When you issue complex SQL queries from Authorize.Net, the driver pushes supported SQL operations, like filters and aggregations, directly to Authorize.Net and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to Authorize.Net Data

Connecting to Authorize.Net data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

You can obtain the necessary connection properties on the Security Settings -> General Settings page after logging into your Merchant Account.

• UseSandbox: The Authorize.Net API to be used to process transactions. If you are using a production account, this property can be left blank. If you are using a developer test account, set this to 'TRUE'.
• LoginID: The API login Id associated with your payment gateway account. This property is used to authenticate that you are authorized to submit website transactions. Note that this value is not the same as the login Id that you use to log in to the Merchant Interface.
• TransactionKey: The transaction key associated with your payment gateway account. This property is used to authenticate that you are authorized to submit website transactions.

After installing the CData Authorize.Net Connector, follow the procedure below to install the other required modules and start accessing Authorize.Net 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 Authorize.Net 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.authorizenet as mod
import plotly.graph_objs as go

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

cnxn = mod.connect("LoginId=MyLoginId;TransactionKey=MyTransactionKey;")

Execute SQL to Authorize.Net

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 MarketType, TotalCharge FROM SettledBatchList WHERE IncludeStatistics = 'True'", 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-authorizenetedataplot'

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 Authorize.Net data and configure the app layout.

trace = go.Bar(x=df.MarketType, y=df.TotalCharge, name='MarketType')

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='Authorize.Net SettledBatchList 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 Authorize.Net data.

python authorizenet-dash.py

Free Trial & More Information

Download a free, 30-day trial of the CData Python Connector for Authorize.Net to start building Python apps with connectivity to Authorize.Net 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.authorizenet as mod
import plotly.graph_objs as go

cnxn = mod.connect("LoginId=MyLoginId;TransactionKey=MyTransactionKey;")

df = pd.read_sql("SELECT MarketType, TotalCharge FROM SettledBatchList WHERE IncludeStatistics = 'True'", cnxn)
app_name = 'dash-authorizenetdataplot'

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.MarketType, y=df.TotalCharge, name='MarketType')

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='Authorize.Net SettledBatchList Data', barmode='stack')
		})
], className="container")

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