```console
$ npm run generate-client

frontend-app@1.0.0 generate-client /home/user/code/frontend-app
> openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios
```

</div>

That command will generate code in `./src/client` and will use `axios` (the frontend HTTP library) internally.

### Try Out the Client Code

```console
$ npm run generate-client

frontend-app@1.0.0 generate-client /home/user/code/frontend-app
> openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios
```

</div>

Dieser Befehl generiert Code in `./src/client` und verwendet intern `axios` (die Frontend-HTTP-Bibliothek).

### Den Client-Code ausprobieren

// existing ETag entry.
//
// Due to legacy S3 clients, that make incorrect assumptions
// about HTTP headers, Set should be used instead of
// http.Header.Set(...). Otherwise, some S3 clients will not
// able to extract the ETag.
func Set(etag ETag, h http.Header) {
	// Some (broken) S3 clients expect the ETag header to
	// literally "ETag" - not "Etag". Further, some clients
	// expect an ETag in double quotes. Therefore, we set the

}

type Client struct {
	client kube.Client
	remote bool
}

func getClients(ctx cli.Context) ([]*Client, error) {
	client, err := ctx.CLIClient()
	if err != nil {
		return nil, err
	}
	clients := []*Client{
		{
			client: client,
			remote: false,
		},
	}

```mermaid
graph TD
    subgraph ConfigStore
        xcs(XDS Client)
        ccs(CRD Client)
        fcs(Filesystem Client)
        acs(Aggregate)
        xcs-->acs
        ccs-->acs
        fcs-->acs
    end
```

Wenn Sie eine FastAPI-Anwendung verwenden und ein Serverprogramm wie Uvicorn verwenden, kann **ein einzelner Prozess** mehrere Clients gleichzeitig bedienen.

In vielen Fällen möchten Sie jedoch mehrere Prozesse gleichzeitig ausführen.

### Mehrere Prozesse – Worker

  }

  @Test fun durationDefaults() {
    val client = clientTestRule.newClient()
    assertThat(client.callTimeoutMillis).isEqualTo(0)
    assertThat(client.connectTimeoutMillis).isEqualTo(10000)
    assertThat(client.readTimeoutMillis).isEqualTo(10000)
    assertThat(client.writeTimeoutMillis).isEqualTo(10000)
    assertThat(client.pingIntervalMillis).isEqualTo(0)
    assertThat(client.webSocketCloseTimeout).isEqualTo(60_000)
  }

        final Map<String, String> clientConfigMap = crawlingConfig.getConfigParameterMap(ConfigName.CLIENT);
        final String value = clientConfigMap.get(CRAWLER_CLIENTS);
        final CrawlerClient client = getClientRuleList(value).stream().map(e -> {
            if (e.getSecond().matcher(url).matches()) {
                return e.getFirst();
            }

	// Add total timeout
	ctx, cancel := context.WithTimeout(ctx, opts.Timeout)
	defer cancel()

	// Tolerance is not set, defaults to half of the locker clients.
	tolerance := len(restClnts) / 2

	// Quorum is effectively = total clients subtracted with tolerance limit
	quorum := len(restClnts) - tolerance
	if !isReadLock {
		// In situations for write locks, as a special case

With a FastAPI application, using a server program like Uvicorn, running it once in **one process** can serve multiple clients concurrently.

But in many cases, you will want to run several worker processes at the same time.

### Multiple Processes - Workers