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Use Dash to Build to Web Apps on Azure Management Data

The CData Python Connector for Azure Management enables you to create Python applications that use pandas and Dash to build Azure Management-connected web apps.

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

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

Connecting to Azure Management Data

Connecting to Azure Management 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.

Azure Data Management uses the OAuth 2 authentication standard. See the Getting Started section of the CData driver documentation for a guide.

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

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

cnxn = mod.connect("InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")")

Execute SQL to Azure Management

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 DisplayName, AuthorizationSource FROM Subscriptions WHERE SubscriptionId = 'fadc4-4cdaf-fadc4-4cdaf'", 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-azuredatamanagementedataplot'

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 Azure Management data and configure the app layout.

trace = go.Bar(x=df.DisplayName, y=df.AuthorizationSource, name='DisplayName')

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='Azure Management Subscriptions 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 Azure Management data.

python azuredatamanagement-dash.py

Free Trial & More Information

Download a free, 30-day trial of the Azure Management Python Connector to start building Python apps with connectivity to Azure Management 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.azuredatamanagement as mod
import plotly.graph_objs as go

cnxn = mod.connect("InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")

df = pd.read_sql("SELECT DisplayName, AuthorizationSource FROM Subscriptions WHERE SubscriptionId = 'fadc4-4cdaf-fadc4-4cdaf'", cnxn)
app_name = 'dash-azuredatamanagementdataplot'

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.DisplayName, y=df.AuthorizationSource, name='DisplayName')

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='Azure Management Subscriptions Data', barmode='stack')
		})
], className="container")

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