Harvester: Clean Unused IP Pools For Migration Networks

Hey guys! Today, we're diving into a crucial aspect of Harvester: cleaning up those unused IP pools, especially for migration and storage networks. This is super important for keeping our system lean, efficient, and ready for anything. Let's break down why this matters, what the test involves, and how we're going to make it happen. So, buckle up, and let's get started!

What's the Test to Develop?

So, what's the big idea here? Basically, we want to create a test that automatically identifies and cleans up any IP addresses in our migration and storage networks that aren't being used. Think of it like tidying up your room – you don't want old toys lying around when you need space for new ones, right? In the same way, we want to free up those IP addresses so they can be used for new virtual machines or storage volumes.

Why is this important? Well, over time, as VMs get created, deleted, or migrated, IP addresses can get left behind, unused. These unused IPs can cause problems down the line, like IP address exhaustion, which can prevent new VMs from being created. By regularly cleaning up these unused IPs, we ensure that our Harvester cluster remains healthy and scalable.

The goal of this test is to automate this cleanup process. We want a test that can run periodically, scan the IP pools, identify unused IPs, and then release them back into the pool. This will not only prevent IP address exhaustion but also make it easier to manage our network resources. Plus, it's just good housekeeping!

To make this happen, the test will need to interact with Harvester's API to get a list of all IP addresses in use, compare that list with the total IP pool, and then release any IPs that are not in use. It's a bit like being a detective, tracking down those missing IPs and bringing them back home. The test should also be robust enough to handle different network configurations and edge cases, ensuring that it doesn't accidentally release an IP address that is still in use. Nobody wants a VM to lose its IP address unexpectedly!

In short, this test is all about keeping our IP pools clean, efficient, and ready for action. It's a small task, but it can have a big impact on the overall health and scalability of our Harvester cluster. So, let's roll up our sleeves and get to work!

Prerequisite and Dependency of Test

Alright, before we dive into writing this test, we need to make sure we have all our ducks in a row. What prerequisites and dependencies do we need to consider? Think of it like gathering all the ingredients before you start cooking – you don't want to be halfway through a recipe and realize you're missing something!

First off, we're going to need a working Harvester cluster. This seems obvious, but it's worth stating explicitly. The cluster should be up and running, and we should have access to it via the command line or the Harvester UI. We'll also need the kubectl command-line tool installed and configured to interact with the cluster. This is our main tool for communicating with Harvester's API.

Next, we'll need to have some existing migration and storage networks configured in Harvester. These networks should have IP pools defined, and there should be some VMs or storage volumes using IP addresses from these pools. This will give us something to test against. If we don't have any existing networks, we'll need to create some before we can run the test.

We'll also need to make sure we have the necessary permissions to interact with the Harvester API. This might involve creating a dedicated service account with the appropriate roles and permissions. We don't want our test to be running with full administrative privileges, as that could be a security risk. Instead, we should follow the principle of least privilege and only grant the test the permissions it needs to do its job.

In terms of dependencies, we'll likely need to use a testing framework like pytest or golang testing to write our test. This will provide us with the necessary tools for writing assertions, running tests, and generating reports. We might also need to use a library for interacting with the Harvester API, such as the Kubernetes client library for Go or Python.

Finally, it's worth considering any potential test case dependencies. For example, we might want to run this test as part of a larger suite of tests that verify the overall health of the Harvester cluster. In that case, we'll need to make sure that the other tests in the suite are passing before we run this test. This will help us avoid false positives and ensure that we're only testing the specific functionality we're interested in.

So, to recap, here's a list of prerequisites and dependencies:

• A working Harvester cluster.
• kubectl installed and configured.
• Existing migration and storage networks with IP pools.
• Necessary permissions to interact with the Harvester API.
• A testing framework like pytest.
• A library for interacting with the Harvester API.
• Consideration of test case dependencies.

With these prerequisites and dependencies in place, we'll be well-positioned to write a robust and reliable test for cleaning up unused IP pools in Harvester. Let's keep moving!

Describe the Items of the Test Development (DoD, Definition of Done)

Okay, team, let's nail down what