Use Dash to Build to Web Apps on Rootly Data

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

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

Connecting to Rootly Data

Connecting to Rootly 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.

Using API Key Authentication

To authenticate using an API key, you will need to obtain your API key from your Rootly account settings.

To get your API key:

1. Log in to your Rootly account
2. Navigate to Settings > API & Integrations
3. Click on "API Tokens"
4. Copy the generated token

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Rootly API token.

Example Connection String

Profile=Rootly.apip;Authscheme=APIKey;ProfileSettings="APIKey=your_apikey";

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

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

cnxn = mod.connect("Profile=Rootly.apip;Authscheme=APIKey;ProfileSettings="APIKey=your_apikey";")

Execute SQL to Rootly

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 ,  FROM Incidents WHERE Status = 'started'", 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-apiedataplot'

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 Rootly data and configure the app layout.

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

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='Rootly Incidents 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 Rootly data.

python api-dash.py

Free Trial & More Information

Download a free, 30-day trial of the CData API Driver for Python to start building Python apps with connectivity to Rootly 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.api as mod
import plotly.graph_objs as go

cnxn = mod.connect("Profile=Rootly.apip;Authscheme=APIKey;ProfileSettings="APIKey=your_apikey";")

df = pd.read_sql("SELECT ,  FROM Incidents WHERE Status = 'started'", cnxn)
app_name = 'dash-apidataplot'

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

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='Rootly Incidents Data', barmode='stack')
		})
], className="container")

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