Use Dash to Build to Web Apps on Guru 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 Guru-connected web applications for Guru data. This article shows how to connect to Guru with the CData Connector and use pandas and Dash to build a simple web app for visualizing Guru data.

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

Connecting to Guru Data

Connecting to Guru 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.

Start by setting the Profile connection property to the location of the Guru Profile on disk (e.g. C:\profiles\Guru.apip). Next, set the ProfileSettings connection property to the connection string for Guru (see below).

Guru API Profile Settings

In Guru, navigate to Settings > API and click Create New API Token. Use your email address as the User and the generated token as the Password.

After installing the CData Guru Connector, follow the procedure below to install the other required modules and start accessing Guru 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 Guru 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 Guru Connector to create a connection for working with Guru data.

cnxn = mod.connect("Profile=C:\profiles\Guru.apip;ProfileSettings='User=your_email;Password=your_api_token';")

Execute SQL to Guru

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 User, Type FROM Analytics WHERE TeamId = 'team-12345'", 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 Guru data and configure the app layout.

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

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='Guru Analytics 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 Guru 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 Guru 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=C:\profiles\Guru.apip;ProfileSettings='User=your_email;Password=your_api_token';")

df = pd.read_sql("SELECT User, Type FROM Analytics WHERE TeamId = 'team-12345'", 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.User, y=df.Type, name='User')

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='Guru Analytics Data', barmode='stack')
		})
], className="container")

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