## Platform architecture

Gradle is arranged into several coarse-grained components called "platforms".
Each platform provides support for some kind of automation, such as building JVM software or building Gradle plugins.
Most platforms typically build on the features of other platforms.

By understanding the Gradle platforms and their relationships, you can get a feel for where in the Gradle source a particular feature might be implemented.

		},
		Status: corev1.PodStatus{
			PodIP: "11.1.1.12",
		},
	}
	ns := &corev1.Namespace{ObjectMeta: metav1.ObjectMeta{Name: "test"}}

	client := kube.NewFakeClient(ns, pod)

	// We are expecting at most 1 calls to the mock, wait for them
	wg, waitForMockCalls := NewWaitForNCalls(t, 1)
	fs := &fakeServer{testWG: wg}

	fs.On("AddPodToMesh",
		ctx,
		pod,
		util.GetPodIPsIfPresent(pod),
		"",
	).Return(nil)

And as you would be building the container image again and again during development to check that your code changes are working, there's a lot of accumulated time this would save.

## Running on Startup

In most cases, when you create a web API, you want it to be **always running**, uninterrupted, so that your clients can always access it. This is of course, unless you have a specific reason why you want it to run only in certain situations, but most of the time you want it constantly running and **available**.

### In a Remote Server

In the Python developer surveys, it's clear <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">that one of the most used features is "autocompletion"</a>.

The whole **FastAPI** framework is based to satisfy that. Autocompletion works everywhere.

You will rarely need to come back to the docs.

Here's how your editor might help you:

		},
		Status: corev1.PodStatus{
			PodIP: fakePodIP,
		},
	}
	ns := &corev1.Namespace{ObjectMeta: metav1.ObjectMeta{Name: "funkyns"}}

	client := kube.NewFakeClient(ns, pod)

	// We are expecting at most 1 calls to the mock, wait for them
	wg, waitForMockCalls := NewWaitForNCalls(t, 1)
	fs := &fakeServer{testWG: wg}

	fs.On("AddPodToMesh",
		ctx,
		pod,
		util.GetPodIPsIfPresent(pod),
		valid.Netns,

        daemon --> worker3
    
```

These are all Java processes. Each process has a corresponding "runtime".
All source code in Gradle is written to target one or more of these runtimes.
Most source code targets the daemon and the remaining code either targets a single runtime, for example the Gradle client, or is shared across multiple runtimes.

## Composition by architecture modules

* A `/items/{item_id}` _útvonalnak_ még van egy opcionális, `str` típusú _query paramétere_ is, a `q`.

### Interaktív API dokumentáció

Most nyisd meg a <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a> címet.

It could be just one or two lines of code, like:

```Python
callback_url = "https://example.com/api/v1/invoices/events/"
httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
```

   * specified is included. To create a copy of a {@code SortedSet} that preserves the comparator,
   * call {@link #copyOfSorted} instead. This method iterates over {@code elements} at most once.
   *
   * <p>Note that if {@code s} is a {@code Set<String>}, then {@code ImmutableSortedSet.copyOf(s)}
   * returns an {@code ImmutableSortedSet<String>} containing each of the strings in {@code s},