import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;
import org.opensearch.index.query.functionscore.ScoreFunctionBuilders;
import org.opensearch.search.sort.SortBuilders;

import jakarta.annotation.PostConstruct;

public class SuggestHelper {
    private static final Logger logger = LogManager.getLogger(SuggestHelper.class);

	registerBooleanParameter(constants.SkipTLSVerify, false, "Whether to use insecure TLS in kubeconfig file")
	registerIntegerParameter(constants.MonitoringPort, 15014, "HTTP port to serve prometheus metrics")
	registerStringParameter(constants.ZtunnelUDSAddress, "/var/run/ztunnel/ztunnel.sock", "The UDS server address which ztunnel will connect to")

        import uvicorn.workers.UvicornWorker
        ```

* `--bind`： GunicornにリッスンするIPとポートを伝えます。コロン(`:`)でIPとポートを区切ります。
    * Uvicornを直接実行している場合は、`--bind 0.0.0.0:80` （Gunicornのオプション）の代わりに、`--host 0.0.0.0`と `--port 80`を使います。

出力では、各プロセスの**PID**（プロセスID）が表示されているのがわかります（単なる数字です）。

以下の通りです：

* Gunicornの**プロセス・マネージャー**はPID `19499`（あなたの場合は違う番号でしょう）で始まります。
* 次に、`Listening at: http://0.0.0.0:80`を開始します。

```
$ go run docs/sts/web-identity.go -cid account -csec 072e7f00-4289-469c-9ab2-bbe843c7f5a8  -config-ep "http://localhost:8080/auth/realms/demo/.well-known/openid-configuration" -port 8888
2018/12/26 17:49:36 listening on http://localhost:8888/
```

Nun erweitern wir dieses Beispiel und fügen weitere Details hinzu, um zu sehen, wie verschiedene Teile getestet werden.

### Erweiterte **FastAPI**-Anwendungsdatei

Fahren wir mit der gleichen Dateistruktur wie zuvor fort:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   └── test_main.py
```

Nehmen wir an, dass die Datei `main.py` mit Ihrer **FastAPI**-Anwendung jetzt einige andere **Pfadoperationen** hat.

	collectorPaths := make([]collectorPath, 0, len(collectors))
	for path, collector := range collectors {
		gatherers[path] = mustRegister(collector)
		collectorPaths = append(collectorPaths, path)
	}
	slices.Sort(collectorPaths)
	return &metricsV3Collection{
		mgMap:          mgMap,
		bucketMGMap:    bucketMGMap,
		mgGatherers:    gatherers,
		collectorPaths: collectorPaths,
	}

    @MockWebServerInstance("server2") server2: MockWebServer,
  ) {
    this.server1 = server
    this.server2 = server2

    socketFactory = SpecificHostSocketFactory(InetSocketAddress(server.hostName, server.port))

    client =
      clientTestRule.newClientBuilder()
        .dns(dns)
        .socketFactory(socketFactory)
        .eventListenerFactory(clientTestRule.wrap(listener))
        .build()
  }

  @Test

 * classloading capability - remote resolution of dependencies - do we want a model for sharing
 * information among plugins, is this more like an extension point - do we need a sort of bus for
 * application data - do we need a dictionary for our applications like Apple does. We could easily
 * hook into this and this is the model we need to follow - how many of our REST services do not map

                    }
                });
                runner.build(config);

                final int port = runner.node().settings().getAsInt("http.port", 9200);
                httpAddress = "http://localhost:" + port;
                logger.warn("Embedded OpenSearch is running. This configuration is not recommended for production use.");
                break;
            }

# Introductie tot Python Types

Python biedt ondersteuning voor optionele "type hints" (ook wel "type annotaties" genoemd).

Deze **"type hints"** of annotaties zijn een speciale syntax waarmee het <abbr title="bijvoorbeeld: str, int, float, bool">type</abbr> van een variabele kan worden gedeclareerd.

Door types voor je variabelen te declareren, kunnen editors en hulpmiddelen je beter ondersteunen.