switch event.Event {
	case controllers.EventAdd:
		// pod was added to our cache
		// we get here in 2 cases:
		// 1. new pod was created on our node
		// 2. we were restarted and current existing pods are added to our cache

		// We have no good way to distinguish between these two cases from here. But we don't need to!
		// Existing pods will be handled by the dataplane using `GetAmbientPods`,

Nevertheless, although we are not using the default integrated functionality, we are still using a Pydantic model to manually generate the JSON Schema for the data that we want to receive in YAML.

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

    WeakReference<? extends Enum<?>> ref = Enums.getEnumConstants(enumClass).get(value);
    /*
     * We use `fromNullable` instead of `of` because `WeakReference.get()` has a nullable return
     * type.
     *
     * In practice, we are very unlikely to see `null`: The `WeakReference` to the enum constant

    // Fail fast on a null. We throw NPE here because the contract of Executor states that it throws
    // NPE on null listener, so we propagate that contract up into the add method as well.
    checkNotNull(runnable, "Runnable was null.");
    checkNotNull(executor, "Executor was null.");

    // Lock while we check state. We must maintain the lock while adding the new pair so that

          if (rule.startsWith(EXCEPTION_RULE_MARKER)) {
            rule = rule.substring(1)
            // We use '\n' for end of value.
            totalExceptionRuleBytes += rule.size + 1
            sortedExceptionRules.add(rule)
          } else {
            totalRuleBytes += rule.size + 1 // We use '\n' for end of value.
            sortedRules.add(rule)
          }
        }
      }

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

    plans to start removing things again, but officially, we're leaving our
    options open in case of surprises (like, say, a serious security problem).

3.  Guava has one dependency that is needed for linkage at runtime:
    `com.google.guava:failureaccess:1.0.2`. It also has
    [some annotation-only dependencies][guava-deps], which we discuss in more
    detail at that link.

    }

    /**
     * Setup exactly the same as the above test, except that the child project
     * now depends upon d, which has a transitive dependency on c.  Even though
     * we did list an exclusion on c, it was only from within the context of
     * project b.  We will pick up project c in this case because no
     * restrictions were placed on d.  This demonstrates that a, b, c, & d will
     * all be collected.
     *

In our code example above, we don't use it directly, but we pass it to FastAPI for it to use it.

The `lifespan` parameter of the `FastAPI` app takes an **async context manager**, so we can pass our new `lifespan` async context manager to it.

```Python hl_lines="22"
{!../../../docs_src/events/tutorial003.py!}
```

	ipToInsert := ip.Unmap()

	// We have already Unmap'd, so we can do a simple IsV6 y/n check now
	if ipToInsert.Is6() {
		return m.Deps.addIP(m.V6Name, ipToInsert, ipProto, comment, replace)
	}
	return m.Deps.addIP(m.V4Name, ipToInsert, ipProto, comment, replace)
}

func (m *IPSet) DeleteIP(ip netip.Addr, ipProto uint8) error {
	ipToDel := ip.Unmap()

	// We have already Unmap'd, so we can do a simple IsV6 y/n check now