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Reading and Writing Data Using the Azure DevOps API

Aug 2, 20246 minute read

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

Introduction

Azure DevOps API is your ticket to programmatically accessing all the goodies in Azure DevOps. Whether you're managing work items, builds, or repos, this API has got you covered. Today, we're focusing on keeping your user-facing integration in perfect harmony with Azure DevOps. Trust me, your users will thank you for it!

Authentication

First things first - let's get you authenticated. Personal Access Tokens (PATs) are the way to go. Here's how you set it up:

const pat = 'your_personal_access_token'; const headers = { 'Authorization': `Basic ${Buffer.from(`:${pat}`).toString('base64')}`, 'Content-Type': 'application/json' };

Easy peasy, right? Just remember to keep that PAT secret!

Reading Data

Time to fetch some data! Let's grab work items and project info:

async function getWorkItem(id) { const response = await fetch(`https://dev.azure.com/{organization}/{project}/_apis/wit/workitems/${id}?api-version=6.0`, { headers }); return response.json(); } async function getProject(projectName) { const response = await fetch(`https://dev.azure.com/{organization}/_apis/projects/${projectName}?api-version=6.0`, { headers }); return response.json(); }

See how clean that looks? Fetch API for the win!

Writing Data

Now, let's create and update work items:

async function createWorkItem(type, fields) { const body = JSON.stringify([ { op: 'add', path: '/fields/System.Title', value: fields.title }, // Add more field operations as needed ]); const response = await fetch(`https://dev.azure.com/{organization}/{project}/_apis/wit/workitems/$${type}?api-version=6.0`, { method: 'POST', headers, body }); return response.json(); } async function updateWorkItem(id, fields) { const body = JSON.stringify([ { op: 'replace', path: '/fields/System.Title', value: fields.title }, // Add more field operations as needed ]); const response = await fetch(`https://dev.azure.com/{organization}/{project}/_apis/wit/workitems/${id}?api-version=6.0`, { method: 'PATCH', headers, body }); return response.json(); }

Syncing Data

Let's whip up a basic sync function:

async function syncWorkItem(localItem, remoteId) { const remoteItem = await getWorkItem(remoteId); if (localItem.rev > remoteItem.rev) { return updateWorkItem(remoteId, localItem); } else if (localItem.rev < remoteItem.rev) { // Update local item with remote data return remoteItem; } return localItem; // No changes needed }

This is just the tip of the iceberg. You might want to add more sophisticated conflict resolution depending on your needs.

Optimizing API Usage

Watch out for those rate limits! Batch operations are your friend:

async function batchGetWorkItems(ids) { const body = JSON.stringify({ ids, fields: ['System.Id', 'System.Title', 'System.State'] }); const response = await fetch(`https://dev.azure.com/{organization}/{project}/_apis/wit/workitemsbatch?api-version=6.0`, { method: 'POST', headers, body }); return response.json(); }

Error Handling and Logging

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

async function apiCall(func) { try { return await func(); } catch (error) { console.error(`API call failed: ${error.message}`); // Implement your logging logic here throw error; } } // Usage const workItem = await apiCall(() => getWorkItem(123));

Best Practices

  1. Cache aggressively, but wisely.
  2. Poll efficiently - use webhooks when possible.
  3. Keep your local and remote data in sync religiously.

Conclusion

There you have it, folks! You're now armed with the knowledge to build a killer integration with Azure DevOps API. Remember, practice makes perfect, so get out there and start coding!

Want to level up? Check out the official Azure DevOps REST API docs for more advanced techniques.

Now go forth and integrate like a boss! 🚀