## Cluster en mode Docker Swarm avec Traefik et HTTPS

Vous pouvez avoir un cluster en mode Docker Swarm configuré en quelques minutes (environ 20 min) avec un processus Traefik principal gérant HTTPS (y compris l'acquisition et le renouvellement des certificats).

En utilisant le mode Docker Swarm, vous pouvez commencer par un "cluster" d'une seule machine (il peut même s'agir

## _Cluster_ de Docker Swarm Mode com Traefik e HTTPS

Você pode ter um _cluster_ de Docker Swarm Mode configurado em minutos (cerca de 20) com o Traefik controlando HTTPS (incluindo aquisição e renovação de certificados).

In the code, a `Bucket` represents the main entrypoint of communication with the database.

This utility function will:

* Connect to a **Couchbase** cluster (that might be a single machine).
    * Set defaults for timeouts.
* Authenticate in the cluster.
* Get a `Bucket` instance.
    * Set defaults for timeouts.
* Return it.

```Python hl_lines="12-21"
{!../../../docs_src/nosql_databases/tutorial001.py!}
```

from typing import Union

from couchbase import LOCKMODE_WAIT
from couchbase.bucket import Bucket
from couchbase.cluster import Cluster, PasswordAuthenticator
from fastapi import FastAPI
from pydantic import BaseModel

USERPROFILE_DOC_TYPE = "userprofile"


def get_bucket():
    cluster = Cluster(
        "couchbase://couchbasehost:8091?fetch_mutation_tokens=1&operation_timeout=30&n1ql_timeout=300"
    )

If you have a <abbr title="A group of machines that are configured to be connected and work together in some way.">cluster</abbr> of machines with **Kubernetes**, Docker Swarm Mode, Nomad, or another similar complex system to manage distributed containers on multiple machines, then you will probably want to **handle replication** at the **cluster level** instead of using a **process manager** (like Gunicorn with workers) in each container.

você tiver um <abbr title="Um grupo de máquinas que são configuradas para estarem conectadas e trabalharem juntas de alguma forma">cluster</abbr> de máquinas com **Kubernetes**, Docker Swarm Mode, Nomad ou outro sistema complexo semelhante para gerenciar contêineres distribuídos em várias máquinas, então provavelmente desejará **lidar com a replicação** no **nível do cluster** em vez de usar um **gerenciador de processos** (como o Gunicorn com workers) em cada contêiner.

Um desses sistemas...

title="Eine Gruppe von Maschinen, die so konfiguriert sind, dass sie verbunden sind und auf irgendeine Weise zusammenarbeiten.">Cluster</abbr> von Maschinen mit **Kubernetes**, Docker Swarm Mode, Nomad verwenden, oder einem anderen, ähnlich komplexen System zur Verwaltung verteilter Container auf mehreren Maschinen, möchten Sie wahrscheinlich die **Replikation auf Cluster-Ebene abwickeln**, anstatt in jedem Container einen **Prozessmanager** (wie Gunicorn mit Workern) zu verwenden.

Diese...

class ContributorsResults(BaseModel):
    contributors: Counter
    commenters: Counter
    reviewers: Counter
    translation_reviewers: Counter
    authors: Dict[str, Author]


def get_contributors(pr_nodes: List[PullRequestNode]) -> ContributorsResults:
    contributors = Counter()
    commenters = Counter()
    reviewers = Counter()
    translation_reviewers = Counter()
    authors: Dict[str, Author] = {}

* ♻ Change a `dict()` for `{}` in `fastapi/utils.py`. PR [#3138](https://github.com/tiangolo/fastapi/pull/3138) by [@ShahriyarR](https://github.com/ShahriyarR).
* ♻ Move internal variable for errors in `jsonable_encoder` to put related code closer. PR [#4560](https://github.com/tiangolo/fastapi/pull/4560) by [@GuilleQP](https://github.com/GuilleQP).

from fastapi.testclient import TestClient

app = FastAPI()

counter_holder = {"counter": 0}


async def dep_counter():
    counter_holder["counter"] += 1
    return counter_holder["counter"]


async def super_dep(count: int = Depends(dep_counter)):
    return count


@app.get("/counter/")
async def get_counter(count: int = Depends(dep_counter)):
    return {"counter": count}


@app.get("/sub-counter/")