As a former R&D developer at Odoo, I often notice a lack of understanding of the "engine" that powers this solution. Many see Odoo as just a simple suite of applications, whereas it is a complete technology stack, comparable to Laravel or Symfony for PHP, or Gin for Go.
Developing on Odoo means working with two robust frameworks: a Python backend layer driven by a sophisticated ORM and a reactive frontend layer called OWL (Odoo Web Library).
The Backend: A performance-oriented ORM and cache
The Odoo ORM is not just a simple mapper. It is a complex state manager that handles security, environments (self.env), and especially fine cache management to optimize access to PostgreSQL.
Understanding the cache and env.cache
The Odoo cache is essential to avoid "N+1 queries." When a record is read, it is stored in env.cache. For heavy calculations, Odoo offers the @ormcache decorator, which allows you to cache the result of a function based on its arguments and the environment.
from odoo import models, fields, tools
class MyExpertModule(models.Model):
_name = 'expert.logic'
@tools.ormcache('self.env.uid', 'key')
def _compute_complex_stats(self, key):
# This calculation will be executed only once per user/key
# The result is then served from memory (LRU cache)
return self._do_heavy_lifting(key)
Attention: If you make changes using raw SQL via self.env.cr.execute, you must invalidate the cache (self.env.cache.invalidate()) to avoid data inconsistencies.
The evolution of the Framework: From v16 to v19
The framework continues to modernize. Here are the major technological leaps:
- Odoo 16: Massive transition to OWL v1, providing increased responsiveness and better management of asynchronous components.
- Odoo 17: A major break. The attrs expressions in XML are replaced by direct inline expressions (invisible="state == 'draft'"). The name_get() method is deprecated in favor of the computed field display_name.
- Odoo 18/19: Introduction of OWL 2, which simplifies state management through the reactive() system (no need for this.render()). Odoo 19 also natively integrates support for vector databases with pgvector for RAG (Retrieval-Augmented Generation).
OWL: The JS framework that has nothing to envy from React
OWL was created because React and Vue could not handle the extreme modularity of Odoo (notably template inheritance via XPath). It is a framework based on ES6 classes, using an ultra-fast Virtual DOM (or "Block DOM").
Example of OWL 2 component (Odoo 18/19):
import { Component, reactive } from "@odoo/owl";
export class MyCounter extends Component {
static template = "my_module.CounterTemplate";
setup() {
// Reactive state: any change triggers a DOM patch
this.state = reactive({ value: 0 });
}
increment() {
this.state.value++;
}
}
Why call on a R&D expert?
The power of these frameworks comes with a complexity of implementation. Poor management of the ORM cache can slow down your instance, and improper use of OWL hooks (onWillStart, onMounted) can create memory leaks or unstable interfaces.
With my experience in the core development team at Odoo, I help you to:
- Optimize your performance (cache management, optimized SQL queries).
- Migrate your custom modules to the latest versions without technical debt.
- Develop custom AI agents integrated directly into your workflows.
Ready to take it to the next level?
Don't just configure Odoo, leverage its framework to build robust and scalable solutions.
