from pydantic.v1 import BaseModel, ValidationError

app = FastAPI()


class Item(BaseModel):
    name: str
    tags: list[str]


@app.post(
    "/items/",
    openapi_extra={
        "requestBody": {
            "content": {"application/x-yaml": {"schema": Item.schema()}},
            "required": True,
        },
    },
)
async def create_item(request: Request):

    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.model_validate(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors(include_url=False))

    if (algorithms.isNotEmpty() && chain.request().header("Accept-Encoding") == null) {
      val request =
        chain
          .request()
          .newBuilder()
          .header("Accept-Encoding", acceptEncoding)
          .build()

      val response = chain.proceed(request)

      decompress(response)
    } else {
      chain.proceed(chain.request())
    }

  /**

    val call1 =
      client.newCall(
        Request
          .Builder()
          .url(server.url("/"))
          .build(),
      )
    call1.execute().use { response -> response.body.string() }

    listener.shouldClose = true
    // Large headers are a likely reason the servers would cut off the connection before it completes sending
    // request headers.
    // 431 "Request Header Fields Too Large"
    val largeHeaders =

import okhttp3.HttpUrl;
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.Response;

public class SampleHttpClient {
  private final OkHttpClient client;

  public SampleHttpClient() {
    client = new OkHttpClient.Builder().build();
  }

  public void makeCall(HttpUrl url) throws IOException {
    try (Response response = client.newCall(new Request(url, Headers.EMPTY, "GET", null)).execute()) {

Logging Interceptor
===================

An [OkHttp interceptor][interceptors] which logs HTTP request and response data.

```java
HttpLoggingInterceptor logging = new HttpLoggingInterceptor();
logging.setLevel(Level.BASIC);
OkHttpClient client = new OkHttpClient.Builder()
  .addInterceptor(logging)
  .build();
```

You can change the log level at any time by calling `setLevel()`.

@pytest.fixture(
    name="mod",
    params=[
        pytest.param("tutorial008c_py39"),
        pytest.param("tutorial008c_an_py39"),
    ],
)
def get_mod(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.dependencies.{request.param}")

    return mod


def test_get_no_item(mod: ModuleType):
    client = TestClient(mod.app)
    response = client.get("/items/foo")

    try {
      while (true) {
        Request request = requestQueue.take();
        Object result;
        try {
          result = invokeMethod(request.methodName, request.arguments);
        } catch (ThreadDeath death) {
          return;
        } catch (InvocationTargetException exception) {
          responseQueue.put(new Response(request.methodName, null, exception.getTargetException()));
          continue;

from fastapi import FastAPI, Request
from fastapi.testclient import TestClient

app = FastAPI(openapi_prefix="/api/v1")


@app.get("/app")
def read_main(request: Request):
    return {"message": "Hello World", "root_path": request.scope.get("root_path")}


client = TestClient(app)


def test_main():
    response = client.get("/app")
    assert response.status_code == 200

### Build execution model

Gradle generally does some work in response to a client request. There are several different clients, for example the `gradlew` command or the tooling API client, 
that can send requests to a Gradle daemon.
Each daemon runs one request at a time. Generally speaking, the daemons only act in response to a request from a client and do not take any action on their own.