Ready to get started?

Learn more about the CData Python Connector for Jira or download a free trial:

Download Now

Use Dash to Build to Web Apps on Jira Data

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

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

Connecting to Jira Data

Connecting to Jira 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.

To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

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

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

cnxn = mod.connect("User=admin;Password=123abc;Url=https://yoursitename.atlassian.net;")

Execute SQL to Jira

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 Summary, TimeSpent FROM Issues WHERE ReporterDisplayName = 'Bob'", 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-jiraedataplot'

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 Jira data and configure the app layout.

trace = go.Bar(x=df.Summary, y=df.TimeSpent, name='Summary')

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='Jira Issues 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 Jira data.

python jira-dash.py

Free Trial & More Information

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

cnxn = mod.connect("User=admin;Password=123abc;Url=https://yoursitename.atlassian.net;")

df = pd.read_sql("SELECT Summary, TimeSpent FROM Issues WHERE ReporterDisplayName = 'Bob'", cnxn)
app_name = 'dash-jiradataplot'

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.Summary, y=df.TimeSpent, name='Summary')

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='Jira Issues Data', barmode='stack')
		})
], className="container")

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