Hey there, fellow dev! Ready to dive into the world of Azure DevOps API integration with Java? You're in for a treat. This guide will walk you through the process, assuming you're already familiar with the basics. We'll be using the azd package, so buckle up and let's get coding!
Before we jump in, make sure you've got:
Let's kick things off by creating a new Java project. Use your favorite IDE or go old school with the command line. Once you're set, add the azd package dependency to your project. If you're using Maven, toss this into your pom.xml:
<dependency> <groupId>com.microsoft.azure.devops</groupId> <artifactId>azd</artifactId> <version>1.0.0</version> </dependency>
Time to get cozy with Azure DevOps. We'll need to set up our credentials:
String organizationUrl = "https://dev.azure.com/your-organization"; String personalAccessToken = "your-pat-here"; VssConnection connection = new VssConnection(organizationUrl, new VssBasicCredential("", personalAccessToken));
Now that we're connected, let's flex those API muscles:
CoreHttpClient coreClient = connection.getClient(CoreHttpClient.class); List<TeamProjectReference> projects = coreClient.getProjects().getProjects();
WorkItemTrackingHttpClient witClient = connection.getClient(WorkItemTrackingHttpClient.class); WorkItem workItem = witClient.getWorkItem(workItemId);
BuildHttpClient buildClient = connection.getClient(BuildHttpClient.class); Build build = buildClient.queueBuild(new Build(), projectId, definitionId);
Ready to level up? Let's tackle some advanced topics:
Many API calls return paginated results. Here's how to handle them:
List<WorkItem> allWorkItems = new ArrayList<>(); int skip = 0; int top = 200; List<WorkItem> batch; do { batch = witClient.getWorkItems(projectId, skip, top); allWorkItems.addAll(batch); skip += top; } while (batch.size() == top);
Don't let transient errors get you down. Implement a retry mechanism:
int maxRetries = 3; int retryCount = 0; while (retryCount < maxRetries) { try { // Your API call here break; } catch (VssServiceException e) { if (++retryCount == maxRetries) throw e; Thread.sleep(1000 * retryCount); } }
For those performance gains, go async:
CompletableFuture<List<WorkItem>> futureWorkItems = witClient.getWorkItemsAsync(projectId, skip, top); futureWorkItems.thenAccept(workItems -> { // Process work items });
Let's keep things smooth and efficient:
Retry-After
header when you hit the limitLet's put it all together with a quick dashboard app:
public class DevOpsDashboard { public static void main(String[] args) { VssConnection connection = // ... initialize connection CoreHttpClient coreClient = connection.getClient(CoreHttpClient.class); WorkItemTrackingHttpClient witClient = connection.getClient(WorkItemTrackingHttpClient.class); BuildHttpClient buildClient = connection.getClient(BuildHttpClient.class); List<TeamProjectReference> projects = coreClient.getProjects().getProjects(); System.out.println("Total projects: " + projects.size()); for (TeamProjectReference project : projects) { System.out.println("Project: " + project.getName()); List<WorkItem> workItems = witClient.getWorkItems(project.getId(), 0, 10); System.out.println(" Recent work items: " + workItems.size()); List<Build> builds = buildClient.getBuilds(project.getId()); System.out.println(" Recent builds: " + builds.size()); } } }
Hit a snag? Here are some common pitfalls:
And there you have it! You're now equipped to build robust Azure DevOps integrations with Java. Remember, the API is vast, so don't be afraid to explore and experiment. Happy coding, and may your builds always be green!
For more in-depth info, check out the official Azure DevOps REST API docs and the azd package documentation.
Now go forth and integrate!