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The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for Odoo, the pandas module, and the Dash framework, you can build Odoo-connected web applications for Odoo data. This article shows how to connect to Odoo with the CData Connector and use pandas and Dash to build a simple web app for visualizing Odoo data.
With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Odoo data in Python. When you issue complex SQL queries from Odoo, the driver pushes supported SQL operations, like filters and aggregations, directly to Odoo and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Accessing and integrating live data from Odoo has never been easier with CData. Customers rely on CData connectivity to:
Users frequently integrate Odoo with analytics tools such as Power BI and Qlik Sense, and leverage our tools to replicate Odoo data to databases or data warehouses.
Connecting to Odoo 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, set the Url to a valid Odoo site, User and Password to the connection details of the user you are connecting with, and Database to the Odoo database.
After installing the CData Odoo Connector, follow the procedure below to install the other required modules and start accessing Odoo through Python objects.
Use the pip utility to install the required modules and frameworks:
pip install pandas pip install dash pip install dash-daq
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.odoo as mod import plotly.graph_objs as go
You can now connect with a connection string. Use the connect function for the CData Odoo Connector to create a connection for working with Odoo data.
cnxn = mod.connect("User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;")
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 name, email FROM res_users WHERE id = '1'", cnxn)
With the query results stored in a DataFrame, we can begin configuring the web app, assigning a name, stylesheet, and title.
app_name = 'dash-odooedataplot' external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] app = dash.Dash(__name__, external_stylesheets=external_stylesheets) app.title = 'CData + Dash'
The next step is to create a bar graph based on our Odoo data and configure the app layout.
trace = go.Bar(x=df.name, y=df.email, name='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='Odoo res_users Data', barmode='stack')
})
], className="container")
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 Odoo data.
python odoo-dash.py👁 Odoo data in a Dash web app (Salesforce is shown).
Download a free, 30-day trial of the CData Python Connector for Odoo to start building Python apps with connectivity to Odoo data. Reach out to our Support Team if you have any questions.
import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.odoo as mod
import plotly.graph_objs as go
cnxn = mod.connect("User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;")
df = pd.read_sql("SELECT name, email FROM res_users WHERE id = '1'", cnxn)
app_name = 'dash-odoodataplot'
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.name, y=df.email, name='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='Odoo res_users Data', barmode='stack')
})
], className="container")
if __name__ == '__main__':
app.run_server(debug=True)
Download a Community License of the Odoo Connector to get started:
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👁 Odoo IconPython Connector Libraries for Odoo Data Connectivity. Integrate Odoo with popular Python tools like Pandas, SQLAlchemy, Dash & petl.