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How to Connect to Odoo Data in Using Python: 6 Steps
Create Python applications on Linux/UNIX machines with connectivity to Odoo data. Leverage the pyodbc module for ODBC in Python.
The rich ecosystem of Python modules lets you get to work quicker and integrate your systems more effectively. With the CData Linux/UNIX ODBC Driver for Odoo and the pyodbc module, you can easily build Odoo-connected Python applications. This article shows how to use the pyodbc built-in functions to connect to Odoo data, execute queries, and output the results.
How to Use the CData ODBC Drivers on UNIX/Linux
The CData ODBC Drivers are supported in various Red Hat-based and Debian-based systems, including Ubuntu, Debian, RHEL, CentOS, and Fedora. There are also several libraries and packages that are required, many of which may be installed by default, depending on your system. For more information on the supported versions of Linux operating systems and the required libraries, please refer to the "Getting Started" section in the help documentation (installed and found online).
About Odoo Data Integration
Accessing and integrating live data from Odoo has never been easier with CData. Customers rely on CData connectivity to:
- Access live data from both Odoo API 8.0+ and Odoo.sh Cloud ERP.
-
Extend the native Odoo features with intelligent handling of many-to-one, one-to-many, and many-to-many data properties. CData's connectivity solutions also intelligently handle complex data properties within Odoo. In addition to columns with simple values like text and dates, there are also columns that contain multiple values on each row. The driver decodes these kinds of values differently, depending upon the type of column the value comes from:
- Many-to-one columns are references to a single row within another model. Within CData solutions, many-to-one columns are represented as integers, whose value is the ID to which they refer in the other model.
- Many-to-many columns are references to many rows within another model. Within CData solutions, many-to-many columns are represented as text containing a comma-separated list of integers. Each value in that list is the ID of a row that is being referenced.
- One-to-many columns are references to many rows within another model - they are similar to many-to-many columns (comma-separated lists of integers), except that each row in the referenced model must belong to only one in the main model.
- Use SQL stored procedures to call server-side RFCs within Odoo.
Users frequently integrate Odoo with analytics tools such as Power BI and Qlik Sense, and leverage our tools to replicate Odoo data to databases or data warehouses.
Getting Started
1. Install the Driver Manager
Before installing the driver, check that your system has a driver manager. For this article, you will use unixODBC, a free and open source ODBC driver manager that is widely supported.
For Debian-based systems like Ubuntu, you can install unixODBC with the APT package manager:
$ sudo apt-get install unixodbc unixodbc-dev
For systems based on Red Hat Linux, you can install unixODBC with yum or dnf:
$ sudo yum install unixODBC unixODBC-devel
The unixODBC driver manager reads information about drivers from an odbcinst.ini file and about data sources from an odbc.ini file. You can determine the location of the configuration files on your system by entering the following command into a terminal:
$ odbcinst -j
The output of the command will display the locations of the configuration files for ODBC data sources and registered ODBC drivers. User data sources can only be accessed by the user account whose home folder the odbc.ini is located in. System data sources can be accessed by all users. Below is an example of the output of this command:
DRIVERS............: /etc/odbcinst.ini
SYSTEM DATA SOURCES: /etc/odbc.ini
FILE DATA SOURCES..: /etc/ODBCDataSources
USER DATA SOURCES..: /home/myuser/.odbc.ini
SQLULEN Size.......: 8
SQLLEN Size........: 8
SQLSETPOSIROW Size.: 8
2. Install the Driver
You can download the driver in standard package formats: the Debian .deb package format or the .rpm file format. Once you have downloaded the file, you can install the driver from the terminal.
The driver installer registers the driver with unixODBC and creates a system DSN, which can be used later in any tools or applications that support ODBC connectivity.
For Debian-based systems like Ubuntu, run the following command with sudo or as root:
$ dpkg -i /path/to/package.deb
For Red Hat systems and other systems that support .rpms, run the following command with sudo or as root:
$ rpm -i /path/to/package.rpm
Once the driver is installed, you can list the registered drivers and defined data sources using the unixODBC driver manager:
List the Registered Driver(s)
$ odbcinst -q -d
CData ODBC Driver for Odoo
...
List the Defined Data Source(s)
$ odbcinst -q -s
CData Odoo Source
...
To use the CData ODBC Driver for Odoo with unixODBC, ensure that the driver is configured to use UTF-16. To do so, edit the INI file for the driver (cdata.odbc.odoo.ini), which can be found in the lib folder in the installation location (typically /opt/cdata/cdata-odbc-driver-for-odoo), as follows:
cdata.odbc.odoo.ini
...
[Driver]
DriverManagerEncoding = UTF-16
3. Modify the DSN
The driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties. Additionally, you can create user-specific DSNs that will not require root access to modify in $HOME/.odbc.ini.
To connect, set the Url to a valid Odoo site, User and Password to the connection details of the user you are connecting with, and Database to the Odoo database.
/etc/odbc.ini or $HOME/.odbc.ini
[CData Odoo Source]
Driver = CData ODBC Driver for Odoo
Description = My Description
User = MyUser
Password = MyPassword
URL = http://MyOdooSite/
Database = MyDatabase
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
You can follow the procedure below to install pyodbc and start accessing Odoo through Python objects.
4. Install pyodbc
You can use the pip utility to install the module:
pip install pyodbc
Be sure to import with the module with the following:
import pyodbc
5. Connect to Odoo Data
You can now connect with an ODBC connection string or a DSN. Below is the syntax for a connection string:
cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for Odoo};User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;')
Below is the syntax for a DSN:
cnxn = pyodbc.connect('DSN=CData Odoo Sys;')
6. Execute SQL on Odoo
Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.
cursor = cnxn.cursor()
Select
You can use fetchall, fetchone, and fetchmany to retrieve Rows returned from SELECT statements:
import pyodbc
cursor = cnxn.cursor()
cnxn = pyodbc.connect('DSN=CData Odoo Source;User=MyUser;Password=MyPassword')
cursor.execute("SELECT name, email FROM res_users WHERE id = '1'")
rows = cursor.fetchall()
for row in rows:
print(row.name, row.email)
You can provide parameterized queries in a sequence or in the argument list:
cursor.execute(
"SELECT name, email
FROM res_users
WHERE id = ?", '1',1)
Insert
INSERT commands also use the execute method; however, you must subsequently call the commit method after an insert or you will lose your changes:
cursor.execute("INSERT INTO res_users (id) VALUES ('1')")
cnxn.commit()
Update and Delete
As with an insert, you must also call commit after calling execute for an update or delete:
cursor.execute("UPDATE res_users SET id = '1'")
cnxn.commit()
Metadata Discovery
You can use the getinfo method to retrieve data such as information about the data source and the capabilities of the driver. The getinfo method passes through input to the ODBC SQLGetInfo method.
cnxn.getinfo(pyodbc.SQL_DATA_SOURCE_NAME)
You are now ready to build Python apps in Linux/UNIX environments with connectivity to Odoo data, using the CData ODBC Driver for Odoo.
Ready to get started?
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Odoo ODBC Driver
The Odoo ERP ODBC Driver is a powerful tool that allows you to connect with live Odoo ERP data, directly from any applications that support ODBC connectivity.
Access Odoo ERP like you would a database - read, write, and update Sales Orders, Purchase Orders, Accounts, etc. through a standard ODBC Driver interface.
