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Use Dash to Build to Web Apps on Bugzilla Data

The CData Python Connector for Bugzilla enables you to create Python applications that use pandas and Dash to build Bugzilla-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 Bugzilla, the pandas module, and the Dash framework, you can build Bugzilla-connected web applications for Bugzilla data. This article shows how to connect to Bugzilla with the CData Connector and use pandas and Dash to build a simple web app for visualizing Bugzilla data.

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

Connecting to Bugzilla Data

Connecting to Bugzilla 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 authenticate to your Bugzilla account using two parameters:

  • URL: The URL of your Bugzilla developer's page (the Home page).
  • ApiKey: API Keys can be generated from the Preferences -> API Keys section of your Bugzilla developer's page.

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

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

cnxn = mod.connect("Url=http://yourdomain/Bugzilla;APIKey=abc123;")

Execute SQL to Bugzilla

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, Summary FROM Bugs WHERE Creator = 'user@domain.com'", 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-bugzillaedataplot'

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 Bugzilla data and configure the app layout.

trace = go.Bar(x=df.Id, y=df.Summary, 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='Bugzilla Bugs 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 Bugzilla data.

python bugzilla-dash.py

Free Trial & More Information

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

cnxn = mod.connect("Url=http://yourdomain/Bugzilla;APIKey=abc123;")

df = pd.read_sql("SELECT Id, Summary FROM Bugs WHERE Creator = 'user@domain.com'", cnxn)
app_name = 'dash-bugzilladataplot'

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.Summary, 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='Bugzilla Bugs Data', barmode='stack')
		})
], className="container")

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