Use Dash to Build to Web Apps on WordPress Data

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Wordpress Python Connector

Python Connector Libraries for Wordpress Data Connectivity. Integrate Wordpress with popular Python tools like Pandas, SQLAlchemy, Dash & petl.



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

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

Connecting to WordPress Data

Connecting to WordPress 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 WordPress, set the URL property and other authentication properties. WordPress supports Basic (User and Password) and OAuth2.0 authentication, though Basic is recommended for a testing environment only. To connect with OAuth you will need to register an app with WordPress.

See the Getting Started guide in the CData driver documentation for more information.

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

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

cnxn = mod.connect("Url=http://www.yourwordpresshost.com;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")")

Execute SQL to WordPress

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, Name FROM Categories WHERE Id = '1'", 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-wordpressedataplot'

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 WordPress data and configure the app layout.

trace = go.Bar(x=df.Id, y=df.Name, 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='WordPress Categories 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 WordPress data.

python wordpress-dash.py

Free Trial & More Information

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

cnxn = mod.connect("Url=http://www.yourwordpresshost.com;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")

df = pd.read_sql("SELECT Id, Name FROM Categories WHERE Id = '1'", cnxn)
app_name = 'dash-wordpressdataplot'

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.Name, 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='WordPress Categories Data', barmode='stack')
		})
], className="container")

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