Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →
Analyze Odoo Data in Infragistics Reveal
Use the CData API Server to create an OData API on top of Odoo data and visualize live Odoo data in Ingragistics Reveal.
Reveal is a data visualization solution provided by Infragistics and can be paired with the CData API Server and Odoo ADO.NET Provider to build dynamic dashboards from live Odoo data. The CData API Server generates an OData API for Odoo, which is natively consumable in Reveal. In this article, we walk through connecting to Odoo in API Server and connecting to the API Server from Infragistics Reveal to create a simple dashboard.
About Odoo Data Integration
Accessing and integrating live data from Odoo has never been easier with CData. Customers rely on CData connectivity to:
- Access live data from both Odoo API 8.0+ and Odoo.sh Cloud ERP.
-
Extend the native Odoo features with intelligent handling of many-to-one, one-to-many, and many-to-many data properties. CData's connectivity solutions also intelligently handle complex data properties within Odoo. In addition to columns with simple values like text and dates, there are also columns that contain multiple values on each row. The driver decodes these kinds of values differently, depending upon the type of column the value comes from:
- Many-to-one columns are references to a single row within another model. Within CData solutions, many-to-one columns are represented as integers, whose value is the ID to which they refer in the other model.
- Many-to-many columns are references to many rows within another model. Within CData solutions, many-to-many columns are represented as text containing a comma-separated list of integers. Each value in that list is the ID of a row that is being referenced.
- One-to-many columns are references to many rows within another model - they are similar to many-to-many columns (comma-separated lists of integers), except that each row in the referenced model must belong to only one in the main model.
- Use SQL stored procedures to call server-side RFCs within Odoo.
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.
Getting Started
Connect to Odoo from API Server
CData API Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.
- Open API Server and click Settings -> Connection -> Add Connection
- Select "Odoo"
- Enter the necessary authentication properties to connect to Odoo.
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.
Add Odoo Resource Definitions in API Server
After connecting to Odoo, create Resources, which represent API endpoints for Odoo data.
- Click Settings -> Resources -> Add Resource
- Select the Odoo connection
- Select the table you wish to retrieve and click Next
- (Optional) Edit the resource to select specific fields and more
- Save the settings
Add an API Server User
Create a User to connect to Odoo from Reveal through API Server.
- Click Settings -> Users
- Click Add
- Configure a User with access to the Odoo Connection and Resource(s)
(Optional) Configure Cross-Origin Resource Sharing (CORS)
When accessing and connecting to multiple different domains from an application such as Ajax, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in Settings -> Server.
- Enable cross-origin resource sharing (CORS): ON
- Allow all domains without '*': ON
- Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
- Access-Control-Allow-Headers: Authorization
Save the changes to the settings.
Create a Dashboard in Reveal
With the API Server configured, we can visualize Odoo data in Reveal.
- Log into Reveal and click Dashboards -> New
- Click Data Source -> OData Feed
- Specify the API Server API endpoint URL, for example: https://serverurl/api.rsc
- Select Generic Credentials and specify the API Server username and authentication token
- Select the entity you wish to visualize
- Select fields and choose a chart type
More Information & Free Trial
At this point, you have created a simple dashboard from live Odoo data. For more information on creating OData feeds from Odoo (and more than 150 other sources), visit the API Server page. Download a free, 30-day trial and start working live Odoo data in tools that consume OData APIs.
