import org.apache.maven.artifact.repository.DefaultRepositoryRequest;
import org.apache.maven.artifact.repository.RepositoryRequest;
import org.apache.maven.artifact.resolver.ArtifactResolutionRequest;

/**
 * Forms a request to retrieve artifact metadata.
 *
 */
@Deprecated
public class DefaultMetadataResolutionRequest implements MetadataResolutionRequest {

    private Artifact artifact;

    private boolean resolveManagedVersions;

events {
    worker_connections  4096;
}

http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
                      '$status $body_bytes_sent "$http_referer" '
                      '"$http_user_agent" "$http_x_forwarded_for"';

    access_log  /var/log/nginx/access.log  main;
    sendfile        on;

#       ...
#       ./any.sh
#     or
#       export TF_ANY_EXTRA_ENV=ci/official/envs/local_rbe
#       ./any.sh
#       ...
set -euxo pipefail
cd "$(dirname "$0")/../../"  # tensorflow/
# Any request that includes "nightly_upload" should just use the
# local multi-cache (public read-only cache + disk cache) instead.
export TFCI="$(echo $TFCI | sed 's/,nightly_upload/,public_cache,disk_cache/')"

# Set enableTracing to false to disable request tracing.
enableTracing: true
# This is the ingress service name, update if you used a different name
ingressService: istio-ingress
#
defaultConfig:
  # NOTE: If you change any values in this section, make sure to make
  # the same changes in start up args in istio-ingress pods.
  #
  # TCP connection timeout between Envoy & the application, and between Envoys.
  connectTimeout: 1s
  #

indexer.webfs.commit.margin.time=5000
indexer.webfs.max.empty.list.count=3600
indexer.webfs.update.interval=10000
indexer.webfs.max.document.cache.size=10
indexer.webfs.max.document.request.size=1048576
indexer.data.max.document.cache.size=10000
indexer.data.max.document.request.size=1048576
indexer.data.max.delete.cache.size=100
indexer.data.max.redirect.count=10
indexer.language.fields=content,important_content,title

```

////

Notice that the *path operations* define the models they use for request payload and response payload, using the models `Item` and `ResponseMessage`.

### API Docs

If you go to the API docs, you will see that it has the **schemas** for the data to be sent in requests and received in responses:

<img src="/img/tutorial/generate-clients/image01.png">

Die gleichen Modelle werden von den Requests gemeinsam genutzt, es handelt sich also nicht um ein Modell pro Request, pro Benutzer, oder ähnliches.

Stellen wir uns vor, dass das Laden des Modells **eine ganze Weile dauern** kann, da viele **Daten von der Festplatte** gelesen werden müssen. Sie möchten das also nicht für jeden Request tun.

// errDiskNotFound - cannot find the underlying configured disk anymore.
var errDiskNotFound = StorageErr("drive not found")

// errDiskOngoingReq - indicates if the disk has an on-going request in progress.
var errDiskOngoingReq = StorageErr("drive still did not complete the request")

// errDriveIsRoot - cannot use the disk since its a root disk.
var errDriveIsRoot = StorageErr("drive is part of root drive, will not be used")

    }

    public void transformForResolve(Artifact artifact, RepositoryRequest request)
            throws ArtifactResolutionException, ArtifactNotFoundException {
        for (ArtifactTransformation transform : artifactTransformations) {
            transform.transformForResolve(artifact, request);
        }
    }

    public void transformForResolve(

	}
}

// ToEntry - constructs an audit entry from a http request
func ToEntry(w http.ResponseWriter, r *http.Request, reqClaims map[string]interface{}, deploymentID string) audit.Entry {
	entry := NewEntry(deploymentID)

	entry.RemoteHost = handlers.GetSourceIP(r)
	entry.UserAgent = r.UserAgent()
	entry.ReqClaims = reqClaims
	entry.ReqHost = r.Host
	entry.ReqPath = r.URL.Path

	q := r.URL.Query()