How to Connect to Linear Data in Using Python: 6 Steps

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Create Python applications on Linux/UNIX machines with connectivity to Linear 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 Linear and the pyodbc module, you can easily build Linear-connected Python applications. This article shows how to use the pyodbc built-in functions to connect to Linear 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).

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 Linear
...

List the Defined Data Source(s)


$ odbcinst -q -s
CData Linear Source
...

To use the CData ODBC Driver for Linear with unixODBC, ensure that the driver is configured to use UTF-16. To do so, edit the INI file for the driver (cdata.odbc.linear.ini), which can be found in the lib folder in the installation location (typically /opt/cdata/cdata-odbc-driver-for-linear), as follows:

cdata.odbc.linear.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.

You can authenticate to Linear with a personal API key or with OAuth 2.0. The API key is the simplest option for connecting with your own Linear account.

Authenticating with an API Key

Set the following connection properties:

  • AuthScheme: Set this to APIKey.
  • APIKey: A Linear personal API key.

To create a personal API key, log in to Linear, open Settings > Security & access > Personal API keys, select New API key, and create it. Copy the key immediately, because Linear shows it only once.

Authenticating with OAuth

OAuth requires a custom OAuth application registered in Linear (Settings > API > OAuth applications), which provides the OAuthClientId and OAuthClientSecret. Two flows are supported:

  • Authorization code: Set AuthScheme to OAuth, InitiateOAuth to GETANDREFRESH, and provide OAuthClientId, OAuthClientSecret, and the CallbackURL defined in your application (e.g., http://localhost:33333). The driver opens Linear in your browser so you can grant access.
  • Client credentials: Set AuthScheme to OAuthClient and provide OAuthClientId and OAuthClientSecret. This authenticates the application itself, with no browser interaction, and suits machine-to-machine integrations.

By default, the driver requests the read,write scopes. The driver refreshes the access token automatically when it expires.

/etc/odbc.ini or $HOME/.odbc.ini


[CData Linear Source]
Driver = CData ODBC Driver for Linear
Description = My Description
AuthScheme = APIKey
APIKey = myAPIKey

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 Linear 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 Linear 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 Linear};AuthScheme=APIKey;APIKey=myAPIKey;')

Below is the syntax for a DSN:


cnxn = pyodbc.connect('DSN=CData Linear Sys;')

6. Execute SQL on Linear

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 Linear Source;User=MyUser;Password=MyPassword')
cursor.execute("SELECT id, name FROM Team WHERE key = 'ENG'")
rows = cursor.fetchall()
for row in rows:
  print(row.id, row.name)

You can provide parameterized queries in a sequence or in the argument list:


cursor.execute(
  "SELECT id, name
  FROM Team
  WHERE key = ?", 'ENG',1)

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 Linear data, using the CData ODBC Driver for Linear.

Ready to get started?

Download a free trial of the Linear ODBC Driver to get started:

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Learn more:

Linear Icon Linear ODBC Driver

The Linear ODBC Driver is a powerful tool that allows you to connect with live data from Linear, directly from any applications that support ODBC connectivity.

Access Linear data like you would a database - read Linear AgentSession, Comment, Customer, Cycle, Initiative, Integration, Issue, ProjectStatus, Release, Team, User, etc. through a standard ODBC Driver interface.