How To Set Inverse Function For Computed Field In Odoo || Editable Compute Field In Odoo

Computed fields in Odoo are powerful tools for automating dynamic values based on other fields. However, their default read-only behavior can limit flexibility when users need to edit these fields. This guide explores how to use inverse functions to make computed fields editable while maintaining data consistency. Whether you’re an Odoo developer or a business user, this blog will help you unlock bidirectional field synchronization in Odoo 18.

What Are Computed Fields?

Computed fields dynamically calculate values using Python logic instead of storing them directly in the database. For example, a total_price field might depend on quantity and unit_price 13. Here’s a basic example:

total = fields.Float(compute='_compute_total')  

@api.depends('quantity', 'unit_price')  
def _compute_total(self):  
    for record in self:  
        record.total = record.quantity * record.unit_price  

By default, computed fields are read-only, as their values are derived from other fields

Why Use Inverse Functions?

Inverse functions bridge the gap between computed fields and user input. They allow users to edit a computed field and propagate changes back to its dependencies. For instance:

  • If a user edits a total field, an inverse function can adjust quantity or unit_price to maintain consistency 1, 3.
  • capital_letter field computed from small_letter can inversely update small_letter when edited 2, 10.
  • Without inverse functions, computed fields remain static and uneditable, limiting real-world usability 4, 8

Step-by-Step Implementation:

  1. Define the Compute Method:
    Start by declaring a computed field with compute and dependencies
from odoo import models, fields, api  

class SaleOrder(models.Model):  
    _inherit = 'sale.order'  

    total_amount = fields.Float(  
        string='Total Amount',  
        compute='_compute_total_amount',  
        inverse='_inverse_total_amount',  
        store=True  # Required for inverse to work :cite[5]:cite[10]  
    )  

    @api.depends('order_line.price', 'order_line.quantity')  
    def _compute_total_amount(self):  
        for order in self:  
            order.total_amount = sum(  
                line.price * line.quantity  
                for line in order.order_line  
            )  

2. Add the Inverse Function:

The inverse method reverses the computation. For example, updating line prices when total_amount changes:

def _inverse_total_amount(self):  
    for order in self:  
        if order.total_amount and order.order_line:  
            avg_price = order.total_amount / len(order.order_line)  
            for line in order.order_line:  
                line.price = avg_price / line.quantity  

Here, editing total_amount redistributes the value across order lines 3, 9.

3. Enable Editing with inverse and store=True:

  1. inverse: Links the field to the inverse method.
  2. store=True: Stores the computed value in the database, enabling edits 51, 1.

Real-World Use Cases

  1. Bidirectional Synchronization

Example: Synchronize small_letter and capital_letter fields

capital_letter = fields.Char(  
    compute='_compute_capital',  
    inverse='_inverse_capital'  
)  

@api.depends('small_letter')  
def _compute_capital(self):  
    for rec in self:  
        rec.capital_letter = rec.small_letter.upper()  

def _inverse_capital(self):  
    for rec in self:  
        rec.small_letter = rec.capital_letter.lower()  

Editing either field updates the other 2, 10.

2. Adjusting Related Models:

For related fields (e.g., partner_id.street), an inverse function can update the linked model:

street = fields.Char(  
    related='partner_id.street',  
    inverse='_set_street'  
)  

def _set_street(self):  
    for rec in self:  
        rec.partner_id.street = rec.street  

This ensures changes cascade to the partner model 5

Best Practices for Inverse Functions:

  • Use store=True: Ensures the computed value is stored and editable
  • Define Clear Dependencies: Use @api.depends to trigger recomputations accurately
  • Avoid Overcomplication: Keep inverse logic simple to prevent performance issues
  • Test Edge Cases: Handle zero divisions (e.g., if order.total_amount) to avoid errors

Common Pitfalls:

  • Missing store=True: Inverse functions won’t trigger without it
  • Circular Dependencies: Ensure compute and inverse methods don’t create infinite loops
  • Performance Overheads: Stored computed fields can slow down large datasets; optimize dependencies

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