Zoosh Bitbucket Code Insights

The Zoosh Bitbucket Code Insights is designed for uploading reports to Bitbucket Pull Requests. It constructs the URL for the Bitbucket API based on the provided external ID (which represents the name of the report), and then sends a PUT request to update the report. The report body is formatted as JSON and includes details such as title, report type, details, result, and data. Upon successful upload, the script logs the response from Bitbucket.

Installation

To install Zoosh Bitbucket Code Insights, simply include it as a dependency in your project's package.json file:

npm install @zooshdigital/bitbucket-code-insights

or

yarn add @zooshdigital/bitbucket-code-insights

Usage

uploadReportToBitbucket Function

The project offers a function named uploadReportToBitbucket, allowing you to upload the provided reports to Bitbucket using the Bitbucket API.

More details can be found in the Bitbucket API documentation here.

Example

To use the uploadReportToBitbucket function in your project, you can access it like this:

import uploadReportToBitbucket from '@zooshdigital/bitbucket-code-insights';

const externalId = 'your_external_id';
const body = {
  // Report body
};

await uploadReportToBitbucket(externalId, body)

Running within a Docker Container

You have the option to run the script inside a Docker container if needed. Ensure you pass the required environment variables BITBUCKET_REPO_FULL_NAME and BITBUCKET_COMMIT. Additionally, to enable the container to resolve host.docker.internal to the host machine's address, you need to add the --add-host=host.docker.internal:host-gateway flag when running the container.

Below is an example of how to run the container:

docker run --rm \
  --add-host=host.docker.internal:host-gateway \
  -e BITBUCKET_REPO_FULL_NAME=<repo_full_name> \
  -e BITBUCKET_COMMIT=<commit_hash> \
  <docker_image_name>

Replace <repo_full_name> with the full name of your Bitbucket repository, <commit_hash> with the commit hash you want to analyze, and <docker_image_name> with the name of the Docker image you built.

Authentication

Your requests will automatically be routed through a proxy server running alongside every pipeline on 'localhost:29418'. This proxy server adds a valid Auth-Header to your requests, eliminating the need for additional authentication configurations.

See more in the official Bitbucket documentation here.

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.