Back

Step by Step Guide to Building a BitBucket API Integration in Python

Aug 7, 20246 minute read

Introduction

Hey there, fellow dev! Ready to supercharge your workflow with BitBucket's API? Let's dive into building a robust integration using the awesome atlassian-python-api package. This guide will get you up and running in no time, so buckle up!

Prerequisites

First things first, let's make sure you're set up:

  1. Ensure you've got Python installed (3.6+ recommended).
  2. Install the atlassian-python-api package:
pip install atlassian-python-api

Easy peasy, right? Now we're cooking with gas!

Authentication

Time to get your hands on those sweet API credentials:

  1. Head over to BitBucket and create an API key.
  2. Now, let's initialize our BitBucket client:
from atlassian import Bitbucket bitbucket = Bitbucket( url='https://api.bitbucket.org', username='your_username', password='your_api_key' )

Boom! You're authenticated and ready to roll.

Basic Operations

Let's start with some bread-and-butter operations:

# Fetch repo info repo_info = bitbucket.get_repo('workspace', 'repo_slug') # List branches branches = bitbucket.get_branches('workspace', 'repo_slug') # Get commit history commits = bitbucket.get_commits('workspace', 'repo_slug')

See how easy that was? You're already a BitBucket API wizard!

Working with Pull Requests

PRs are the lifeblood of collaboration. Let's manage them like a pro:

# Create a PR new_pr = bitbucket.create_pull_request( 'workspace', 'repo_slug', 'title', 'source_branch', 'destination_branch' ) # Get PR details pr_details = bitbucket.get_pull_request('workspace', 'repo_slug', 'pr_id') # Merge a PR bitbucket.merge_pull_request('workspace', 'repo_slug', 'pr_id')

Smooth as butter, right?

Managing Repository Content

Let's get our hands dirty with some content management:

# Create/update a file bitbucket.update_file( 'workspace', 'repo_slug', 'path/to/file', 'file_content', 'commit_message', 'branch_name' ) # Delete a file bitbucket.delete_file( 'workspace', 'repo_slug', 'path/to/file', 'commit_message', 'branch_name' ) # Create a branch bitbucket.create_branch( 'workspace', 'repo_slug', 'branch_name', 'start_point' )

You're now a content ninja!

Advanced Features

Ready to level up? Let's tackle some advanced stuff:

# Set up a webhook bitbucket.create_webhook( 'workspace', 'repo_slug', 'webhook_url', events=['repo:push', 'pullrequest:created'] ) # Get build status build_status = bitbucket.get_build_status('workspace', 'repo_slug', 'commit_hash') # Manage team members bitbucket.add_group_member('workspace', 'group_slug', 'user_uuid')

Look at you go! You're handling BitBucket like a champ.

Error Handling and Best Practices

Don't let those pesky errors catch you off guard:

from atlassian.errors import ApiError try: repo_info = bitbucket.get_repo('workspace', 'repo_slug') except ApiError as e: if e.status_code == 429: print("Whoa there! We've hit the rate limit. Time for a coffee break.") else: print(f"Oops! Something went wrong: {str(e)}")

Always handle your exceptions, folks. Your future self will thank you!

Testing and Debugging

Let's wrap this up with some testing goodness:

import unittest class TestBitbucketIntegration(unittest.TestCase): def setUp(self): self.bitbucket = Bitbucket(url='https://api.bitbucket.org', username='test', password='test') def test_get_repo(self): repo = self.bitbucket.get_repo('workspace', 'repo_slug') self.assertIsNotNone(repo) if __name__ == '__main__': unittest.main()

Pro tip: Use a dedicated test account to avoid any oopsies with your production data.

Conclusion

And there you have it! You've just built a rock-solid BitBucket API integration. From basic operations to advanced features, you're now equipped to automate your BitBucket workflows like a boss.

Remember, the atlassian-python-api docs are your best friend for diving deeper. Now go forth and code brilliantly!

Happy integrating, you magnificent developer, you!