Reading and Writing Data Using the BitBucket API

Hey there, fellow JavaScript aficionados! Ready to dive into the world of BitBucket API? Let's get our hands dirty with some data syncing for user-facing integrations. Buckle up!

Setting Up the BitBucket API Client

First things first, let's get that API client up and running. It's as easy as pie:

npm install bitbucket

const { Bitbucket } = require('bitbucket');
const bitbucket = new Bitbucket({
  auth: {
    username: 'your-username',
    password: 'your-app-password'
  }
});

Pro tip: Use app passwords for better security. Your future self will thank you!

Reading Data from BitBucket

Now, let's fetch some data. Here's how you can grab repositories, pull requests, and commit info:

async function fetchData() {
  const { data: repos } = await bitbucket.repositories.list({ workspace: 'your-workspace' });
  const { data: pullRequests } = await bitbucket.pullrequests.list({ workspace: 'your-workspace', repo_slug: 'your-repo' });
  const { data: commits } = await bitbucket.commits.list({ workspace: 'your-workspace', repo_slug: 'your-repo' });

  console.log(repos, pullRequests, commits);
}

Easy peasy, right? You're now a data-fetching wizard!

Writing Data to BitBucket

Time to make our mark on BitBucket. Let's create a repo, open a PR, and commit some changes:

async function writeData() {
  await bitbucket.repositories.create({ workspace: 'your-workspace', repo_slug: 'new-repo', is_private: true });
  
  await bitbucket.pullrequests.create({
    workspace: 'your-workspace',
    repo_slug: 'your-repo',
    _body: { title: 'Amazing new feature', source: { branch: { name: 'feature-branch' } }, destination: { branch: { name: 'main' } } }
  });

  await bitbucket.commits.create({
    workspace: 'your-workspace',
    repo_slug: 'your-repo',
    _body: { message: 'Add awesome feature', branch: 'main', files: [{ path: 'newfile.js', contents: 'console.log("Hello, BitBucket!");' }] }
  });
}

Look at you go! You're writing data like a pro.

Implementing Data Sync

Now for the main event: syncing data. Here's a simple yet effective sync function:

async function syncData() {
  try {
    const localData = await getLocalData();
    const { data: remoteData } = await bitbucket.repositories.list({ workspace: 'your-workspace' });

    const updatedData = mergeData(localData, remoteData);
    await updateLocalData(updatedData);

    console.log('Sync completed successfully!');
  } catch (error) {
    console.error('Sync failed:', error);
    // Implement retry logic here
  }
}

Remember, good sync functions are like good friends: reliable and handle errors gracefully.

Webhooks for Real-time Updates

Want to stay on top of changes? Webhooks are your new best friend:

const express = require('express');
const app = express();

app.post('/webhook', express.json(), (req, res) => {
  const event = req.headers['x-event-key'];
  const payload = req.body;

  console.log(`Received ${event} event:`, payload);

  // Handle the event and update local data
  updateLocalDataBasedOnEvent(event, payload);

  res.sendStatus(200);
});

app.listen(3000, () => console.log('Webhook server running on port 3000'));

Now you're cooking with gas! Real-time updates, coming right up.

Optimizing Performance

Let's make things zippy with some performance tweaks:

async function optimizedSync() {
  const [repos, pullRequests, commits] = await Promise.all([
    bitbucket.repositories.list({ workspace: 'your-workspace' }),
    bitbucket.pullrequests.list({ workspace: 'your-workspace', repo_slug: 'your-repo' }),
    bitbucket.commits.list({ workspace: 'your-workspace', repo_slug: 'your-repo' })
  ]);

  // Process data in parallel
  await Promise.all([
    processRepos(repos.data),
    processPullRequests(pullRequests.data),
    processCommits(commits.data)
  ]);

  console.log('Optimized sync completed!');
}

Parallel requests and processing? You're basically a sync superhero now.

Error Handling and Logging

Don't let errors catch you off guard. Here's how to handle them like a champ:

async function robustApiCall(apiFunction, ...args) {
  try {
    const result = await apiFunction(...args);
    console.log(`API call successful: ${apiFunction.name}`);
    return result;
  } catch (error) {
    console.error(`API call failed: ${apiFunction.name}`, error);
    if (error.status === 429) {
      console.log('Rate limit hit. Retrying after delay...');
      await new Promise(resolve => setTimeout(resolve, 60000));
      return robustApiCall(apiFunction, ...args);
    }
    throw error;
  }
}

Now you're prepared for anything BitBucket throws your way!

Testing and Debugging

Last but not least, let's make sure everything's ship-shape with some testing:

const { jest } = require('@jest/globals');

jest.mock('bitbucket');

test('fetchData retrieves repositories successfully', async () => {
  const mockList = jest.fn().mockResolvedValue({ data: [{ name: 'test-repo' }] });
  require('bitbucket').Bitbucket.mockImplementation(() => ({
    repositories: { list: mockList }
  }));

  const result = await fetchData();
  expect(mockList).toHaveBeenCalledWith({ workspace: 'your-workspace' });
  expect(result).toEqual([{ name: 'test-repo' }]);
});

And there you have it! You're now equipped to read and write data using the BitBucket API like a true JavaScript ninja. Remember, practice makes perfect, so keep coding and exploring. The BitBucket world is your oyster!

Happy coding, and may your pull requests always be conflict-free! 🚀👨‍💻👩‍💻