odoo-orm-expert
Master Odoo ORM patterns: search, browse, create, write, domain filters, computed fields, and performance-safe query techniques.
- License 许可
- MIT
- 最近更新
- 2026-11-10
- Stars
- ★ 1
- Forks
- 0
01 前言 Front Matter
- name
- odoo-orm-expert
- risk
- safe
- source
- self
- description
- Master Odoo ORM patterns: search, browse, create, write, domain filters, computed fields, and performance-safe query techniques.
03 SKILL.md 正文
Odoo ORM Expert
Overview
This skill teaches you Odoo's Object Relational Mapper (ORM) in depth. It covers reading/writing records, building domain filters, working with relational fields, and avoiding common performance pitfalls like N+1 queries.
When to Use This Skill
- Writing
search(),browse(),create(),write(), orunlink()calls. - Building complex domain filters for views or server actions.
- Implementing computed, stored, and related fields.
- Debugging slow queries or optimizing bulk operations.
How It Works
- Activate: Mention
@odoo-orm-expertand describe what data operation you need. - Get Code: Receive correct, idiomatic Odoo ORM code with explanations.
- Optimize: Ask for performance review on existing ORM code.
Examples
Example 1: Search with Domain Filters
# Find all confirmed sale orders for a specific customer, created this year
import datetime
start_of_year = datetime.date.today().replace(month=1, day=1).strftime('%Y-%m-%d')
orders = self.env['sale.order'].search([
('partner_id', '=', partner_id),
('state', '=', 'sale'),
('date_order', '>=', start_of_year),
], order='date_order desc', limit=50)
# Note: pass dates as 'YYYY-MM-DD' strings in domains,
# NOT as fields.Date objects — the ORM serializes them correctly.
Example 2: Computed Field
total_order_count = fields.Integer(
string='Total Orders',
compute='_compute_total_order_count',
store=True
)
@api.depends('sale_order_ids')
def _compute_total_order_count(self):
for record in self:
record.total_order_count = len(record.sale_order_ids)
Example 3: Safe Bulk Write (avoid N+1)
# ✅ GOOD: One query for all records
partners = self.env['res.partner'].search([('country_id', '=', False)])
partners.write({'country_id': self.env.ref('base.us').id})
# ❌ BAD: Triggers a separate query per record
for partner in partners:
partner.country_id = self.env.ref('base.us').id
Best Practices
- ✅ Do: Use
mapped(),filtered(), andsorted()on recordsets instead of Python loops. - ✅ Do: Use
sudo()sparingly and only when you understand the security implications. - ✅ Do: Prefer
search_count()overlen(search(...))when you only need a count. - ✅ Do: Use
with_context(...)to pass context values cleanly rather than modifyingself.env.contextdirectly. - ❌ Don't: Call
search()inside a loop — this is the #1 Odoo performance killer. - ❌ Don't: Use raw SQL unless absolutely necessary; use ORM for all standard operations.
- ❌ Don't: Pass Python
datetime/dateobjects directly into domain tuples — always stringify them as'YYYY-MM-DD'.
Limitations
- Does not cover
cr.execute()raw SQL patterns in depth — use the Odoo performance tuner skill for SQL-level optimization. - Stored computed fields can cause significant write overhead at scale; this skill does not cover partitioning strategies.
- Does not cover transient models (
models.TransientModel) or wizard patterns. - ORM behavior can differ slightly between Odoo SaaS and On-Premise due to config overrides.
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