BetterOdooApiWrapper 0.1.1

A minimal Python ORM wrapper for the Odoo API.

BetterOdooApiWrapper

A minimal Python ORM wrapper for the Odoo API.

Overview

BetterOdooApiWrapper is a lightweight, Pythonic wrapper around the Odoo XML-RPC API, providing an ORM-like interface to interact with Odoo models and records. It simplifies the process of querying, filtering, and manipulating data in Odoo from Python applications.

Features

• Pythonic ORM Interface: Interact with Odoo models using familiar Python syntax.
• Dynamic Model Access: Access any Odoo model dynamically without pre-defining classes.
• Complex Querying: Support for filtering, ordering, and selecting specific fields.
• Relational Fields Handling: Seamlessly work with many2one, one2many, and many2many fields.
• Context Management: Easily set and update the Odoo context for your queries.
• Export Functionality: Export data, including nested relational fields, efficiently.

Getting Started

Instalation

Install the module using PyPI

pip install BetterOdooApiWrapper

Connecting to Odoo

from BetterOdooApiWrapper import Client

# Initialize the Odoo client
odoo = Client(
    url="https://your-odoo-instance.com",
    db="your-database-name",
    username="your-username",
    password="your-password"
)

Setting Context

Optionally, you can set the context for your operations:

# Set the context for subsequent queries
odoo.set_context(lang='en_US', tz='UTC')

Accessing Models

# Access the 'res.partner' model
partners = odoo['res.partner']

Querying Data

Selecting Fields

# Select specific fields
partners = partners.select(lambda p: (p.name, p.email))

Filtering Data

# Filter partners where name contains 'John' and email is not null
partners = partners.filter(lambda p: ('John' in p.name, p.email != False))

Ordering Results

# Order by name ascending
partners = partners.order_by(lambda p: p.name)

# Order by name descending
partners = partners.order_by_descending(lambda p: p.name)

Limiting Results

# Limit to first 10 records
partners = partners.take(10)

Fetching the Data

# Execute the query and get the results
results = partners.get()

Fetching a Single Record

# Get the first matching record
partner = partners.first()

Working with Relational Fields

# Select fields from related models
partners = partners.select(lambda p: (
    p.name,
    p.company_id.name,
    p.company_id.country_id.name
))
results = partners.get()

Exporting Data

Use the export method to fetch data using Odoo's export_data method, which is efficient for large datasets.

[!WARNING] This implicitly creates external_ids for all returned records, including requested related records.

# Export data including nested relational fields
data = partners.export()

Filtering by External IDs

# Filter records by their external IDs
partners = partners.external_ids(['module.partner_1', 'module.partner_2'])
results = partners.get()

Full Example

from BetterOdooApiWrapper import Client

# Initialize the client
odoo = Client(
    url="https://your-odoo-instance.com",
    db="your-database-name",
    username="your-username",
    password="your-password"
)

# Set context if needed
odoo.set_context(lang='en_US', tz='UTC')

# Build the query
partners = (
    odoo['res.partner']
    .select(lambda p: (
        p.name,
        p.email,
        p.company_id.name,
        p.company_id.country_id.name
    ))
    .filter(lambda p: (
        p.is_company == True,
        p.customer_rank > 0
    ))
    .order_by(lambda p: p.name)
    .take(50)
)

# Execute the query
results = partners.get()

# Close the client connection
odoo.close()

# Process the results
for partner in results:
    print(f"Name: {partner['name']}, Email: {partner['email']}")
    print(f"Company: {partner['company_id']['name']}")
    print(f"Country: {partner['company_id']['country_id']['name']}")

Creating Records

You can create single or bulk records in odoo by supplying a list of key: value dictionaries.

created_record = partners.create([{"name": "James Smith"}]).select(lambda x: x.name).get()

or simply

created_ids = partners.create([{"name": "James Smith"}]).ids

Deleting Records

Deleting records can be done in 3 ways. You can either specify external_ids, database_ids, or use a filter like with search.

partners.database_ids([1, 2, 3]).delete()
partners.external_ids(["external_id_1", "external_id_2"]).delete()
partners.filter(lambda x: x.name == "John Doe").delete()

Roadmap

• Fix no filter returning only ID on get
• Cache Field introspection
• Generate python stub files from field introspection to introduce "dynamic" code completion
• Add Read Pagination support with easy itterations
• Add support for Delete
• Add support for Write
• Add support for Update

Contributing

We are not open to pull requests. Create an issue to discuss pain points in the wrapper.

Disclaimer

This project is not affiliated with or endorsed by Odoo S.A. It is an independent tool designed to facilitate interaction with the Odoo API.

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Happy coding! 🚀