Bitbucket code references

Read time: 2 minutes

Last edited: Dec 14, 2024

Code references are available to customers on select plans

Code references are only available to customers on select plans. To learn more, read about our pricing. To upgrade your plan, contact Sales.

Overview

This topic explains how to use the ld-find-code-refs utility with Bitbucket code references to create code references in LaunchDarkly.

You can use the ld-find-code-refs utility with Bitbucket Pipelines to automatically populate code references in LaunchDarkly. To do this, you must create a Pipes configuration using LaunchDarkly's code reference pipe.

Prerequisites

To set up Bitbucket Pipes, you must have the following prerequisite:

A Bitbucket Pipelines configuration file. To create one, navigate to the Pipelines section of your Bitbucket repository.
An API access token with write permissions for the code-reference-repository resource, either through the built-in Writer role or a custom role. To learn more, read API access tokens and Code reference actions.

API tokens can also use custom roles

Alternatively, you can give the access token access to a custom role with the code-reference-repository resource specifier. To learn more, read Custom roles.

Set up the Pipes configuration

To set up the Bitbucket Pipes configuration:

Create a new Pipeline configuration in your Bitbucket repository.
Configure the Pipeline to run on push using the default configuration. Include the following variables:

LD_ACCESS_TOKEN: This secured variable should be your API access token.
LD_PROJ_KEY: This should be your LaunchDarkly project key. To learn how to find your project key, read Project keys.

Here's an example of a minimal Pipeline configuration:

You can copy and paste the following code into a blank Pipelines configuration if you have set the LD_PROJ_KEY and LD_ACCESS_TOKEN environment variables as repository variables:

To learn more about repository variables, read Atlassian's documentation.

Confirm that the pipeline is working by creating a new pull request with the workflow file and visiting the Pipelines page on your repository's webpage. If your pipeline fails, there may be a problem with your configuration. To investigate, check the pipeline's logs to view any error messages.

Pipeline configuration

You may configure the code reference pipe with additional environment variables to enable more functionality. For additional configuration options, read the ld-find-code-refs-pipe repository.