odoo-connect 0.1.3

Simple RPC client for Odoo

Odoo Connect

A simple library to use Odoo RPC.

Usage

import odoo_connect
odoo = env = odoo_connect.connect(url='http://localhost', username='admin', password='admin')
so = env['sale.order']
so.search_read([('create_uid', '=', 1)], [])

Rationale

OdooRPC or Odoo RPC Client are both more complete and mimic internal Odoo API. Then aio-odoorpc provides an asynchronous API.

This library provides only a simple API for connecting to the server and call methods, so the maintenance should be minimal.

Note that each RPC call is executed in a transaction. So the following code on the server, will add one to every line ordered quantity or fail and do nothing. However, ORM client libraries will perform multiple steps, on a failure, already executed code was committed. You can also end with race conditions where some other code set product_uom_qty to 0 before you increment it.

lines = env['sale.order.line'].search([
	('order_id.name', '=', 'S00001')
])
for line in lines:
	if line.product_uom_qty > 1:
		line.product_uom_qty += 1

Export and import data

A separate package provides utilities to more easily extract data from Odoo. It also contains utility to get binary data (attachments) and reports.

The following function will return a table-like (list of lists) structure with the requested data. You can also pass filter names or export names instead of, respectively, domains and fields. Note that this doesn't support groupping.

# Read data as usual
env['sale.order'].search_read_dict([('state', '=', 'sale')], ['name', 'partner_id.name'])
env['sale.order'].read_group([], ['amount_untaxed'], ['partner_id', 'create_date:month'])

# Export data
import odoo_connect.data as odoo_data
so = env['sale.order']
data = odoo_data.export_data(so, [('state', '=', 'sale')], ['name', 'partner_id.name'])
odoo_data.add_url(so, data)

# Import data using Odoo's load() function
odoo_data.load_data(so, data)

# Import data using writes and creates (or another custom method)
for batch in odoo_data.make_batches(data):
	# add ids by querying the model using the 'name' field
	odoo_data.add_fields(so, batch, 'name', ['id'])
	# if you just plan to create(), you can skip adding ids
	odoo_data.load_data(partner, batch, method='write')

Development

You can use a vscode container and open this repository inside it. Alternatively, clone and setup the repository manually.

git clone $url
cd odoo-connect
# Install dev libraries
pip install -r requirements.txt
./pre-commit install
# Run some tests
pytest