Use Dash to Build to Web Apps on Oracle SCM 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 Oracle SCM, the pandas module, and the Dash framework, you can build Oracle SCM-connected web applications for Oracle SCM data. This article shows how to connect to Oracle SCM with the CData Connector and use pandas and Dash to build a simple web app for visualizing Oracle SCM data.

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

Connecting to Oracle SCM Data

Connecting to Oracle SCM 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.

The following connection properties are required to connect to Oracle SCM data.

• Url: The URL of the account that you want to connect to. Typically, this will be the URL of your Oracle Cloud service. For example, https://servername.fa.us2.oraclecloud.com.
• User: The username of your Oracle Cloud service account.
• Password: The password of your Oracle Cloud service account.

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

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

cnxn = mod.connect("Url=https://myinstance.oraclecloud.com;User=user;Password=password;")

Execute SQL to Oracle SCM

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 CarrierId, CarrierName FROM Carriers WHERE ActiveFlag = 'false'", 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-oraclescmedataplot'

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 Oracle SCM data and configure the app layout.

trace = go.Bar(x=df.CarrierId, y=df.CarrierName, name='CarrierId')

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='Oracle SCM Carriers 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 Oracle SCM data.

python oraclescm-dash.py

Free Trial & More Information

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

cnxn = mod.connect("Url=https://myinstance.oraclecloud.com;User=user;Password=password;")

df = pd.read_sql("SELECT CarrierId, CarrierName FROM Carriers WHERE ActiveFlag = 'false'", cnxn)
app_name = 'dash-oraclescmdataplot'

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.CarrierId, y=df.CarrierName, name='CarrierId')

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='Oracle SCM Carriers Data', barmode='stack')
		})
], className="container")

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