ctx             context.Context
	dataplane       MeshDataplane
	systemNamespace string

	queue      controllers.Queue
	pods       kclient.Client[*corev1.Pod]
	namespaces kclient.Client[*corev1.Namespace]
}

func setupHandlers(ctx context.Context, kubeClient kube.Client, dataplane MeshDataplane, systemNamespace string) *InformerHandlers {
	s := &InformerHandlers{ctx: ctx, dataplane: dataplane, systemNamespace: systemNamespace}

```java
OkHttpClient client = new OkHttpClient.Builder()
    .addInterceptor(new LoggingInterceptor())
    .build();

Request request = new Request.Builder()
    .url("http://www.publicobject.com/helloworld.txt")
    .header("User-Agent", "OkHttp Example")
    .build();

Response response = client.newCall(request).execute();
response.body().close();
```

  private final OkHttpClient client = new OkHttpClient();

  public void run() throws Exception {
    final PipeBody pipeBody = new PipeBody();

    Request request = new Request.Builder()
        .url("https://api.github.com/markdown/raw")
        .post(pipeBody)
        .build();

    streamPrimesToSinkAsynchronously(pipeBody.sink());

    try (Response response = client.newCall(request).execute()) {

    .build();

System.out.println("REQUEST 1 (new connection)");
try (Response response = client.newCall(request).execute()) {
  // Consume and discard the response body.
  response.body().source().readByteString();
}

System.out.println("REQUEST 2 (pooled connection)");
try (Response response = client.newCall(request).execute()) {
  // Consume and discard the response body.
  response.body().source().readByteString();

public final class PrintEvents {
  private final OkHttpClient client = new OkHttpClient.Builder()
      .eventListenerFactory(PrintingEventListener.FACTORY)
      .build();

  public void run() throws Exception {
    Request washingtonPostRequest = new Request.Builder()
        .url("https://www.washingtonpost.com/")
        .build();
    client.newCall(washingtonPostRequest).enqueue(new Callback() {

# Test Client - `TestClient`

You can use the `TestClient` class to test FastAPI applications without creating an actual HTTP and socket connection, just communicating directly with the FastAPI code.

Read more about it in the [FastAPI docs for Testing](https://fastapi.tiangolo.com/tutorial/testing/).

You can import it directly from `fastapi.testclient`:

```python
from fastapi.testclient import TestClient
```

                    corresponding JSON.
                * Filtering: the JSON sent to the client will only contain the data
                    (fields) defined in the `response_model`. If you returned an object
                    that contains an attribute `password` but the `response_model` does
                    not include that field, the JSON sent to the client would not have
                    that `password`.

# Request Body

When you need to send data from a client (let's say, a browser) to your API, you send it as a **request body**.

A **request** body is data sent by the client to your API. A **response** body is the data your API sends to the client.

Your API almost always has to send a **response** body. But clients don't necessarily need to send **request bodies** all the time, sometimes they only request a path, maybe with some query parameters, but don't send a body.

	debug                                            bool
	insecure                                         bool
)

func buildS3Client(endpoint, accessKey, secretKey string, insecure bool) (*minio.Client, error) {
	u, err := url.Parse(endpoint)
	if err != nil {
		return nil, err
	}

	secure := strings.EqualFold(u.Scheme, "https")
	transport, err := minio.DefaultTransport(secure)
	if err != nil {

```

### Lambda Target with mTLS authentication

If your lambda target expects mTLS client you can enable it per function target as follows
```
MINIO_LAMBDA_WEBHOOK_ENABLE_function=on MINIO_LAMBDA_WEBHOOK_ENDPOINT_function=http://localhost:5000 MINIO_LAMBDA_WEBHOOK_CLIENT_CERT=client.crt MINIO_LAMBDA_WEBHOOK_CLIENT_KEY=client.key minio server /data &
```

## Create a bucket and upload some data