labels.wizard_button_register_next=Erstellen
labels.wizard_start_crawling_title=Crawling starten
labels.wizard_start_crawler_title=Crawler
labels.wizard_start_crawling_desc=Sie können das Crawling jetzt starten, indem Sie auf die Schaltfläche "Crawling starten" klicken.
labels.wizard_button_start_crawling=Crawling starten
labels.wizard_button_finish=Überspringen
labels.search_list_configuration=Suchen

       *   user task -- which means that we already got past this code (or else we exited early
       *   above))
       */
      // Unconditionally set; there is no risk of throwing away a queued task from another thread,
      // because in order for the current task to run on this executor the previous task must have

## نیازمندی‌ها

پایتون +۳.۶

FastAPI مبتنی بر ابزارهای قدرتمند زیر است:

* فریم‌ورک <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> برای بخش وب.
* کتابخانه <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> برای بخش داده‌.

## نصب

<div class="termy">

```console

success.send_testmail=Sent a test mail.
success.job_log_delete_all=Deleted job logs.
success.changed_password=Changed your password.
success.started_data_update=Started a data update process.
success.reindex_started=Started re-indexing.
success.bulk_process_started=Started a bulk process.
success.print_thread_dump=Printed a thread dump to a log file.
success.install_plugin=Installing plugin {0}.
success.delete_plugin=Deleting plugin {0}.

success.send_testmail=Sent a test mail.
success.job_log_delete_all=Deleted job logs.
success.changed_password=Changed your password.
success.started_data_update=Started a data update process.
success.reindex_started=Started re-indexing.
success.bulk_process_started=Started a bulk process.
success.print_thread_dump=Printed a thread dump to a log file.
success.install_plugin=Installing plugin {0}.
success.delete_plugin=Deleting plugin {0}.

/// note | Détails techniques

`FastAPI` est une classe héritant directement de `Starlette`.

Vous pouvez donc aussi utiliser toutes les fonctionnalités de <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> depuis `FastAPI`.

///

### Étape 2 : créer une "instance" `FastAPI`

{* ../../docs_src/first_steps/tutorial001.py hl[3] *}

* Python <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">**FastAPI**</a>-Backend:
    * **Schnell**: Sehr hohe Leistung, auf Augenhöhe mit **NodeJS** und **Go** (dank Starlette und Pydantic).
    * **Intuitiv**: Hervorragende Editor-Unterstützung. <abbr title="Auch bekannt als automatische Vervollständigung, IntelliSense">Codevervollständigung</abbr> überall. Weniger Zeitaufwand für das Debuggen.

/// note | Szczegóły techniczne

`FastAPI` jest klasą, która dziedziczy bezpośrednio z `Starlette`.

Oznacza to, że możesz korzystać ze wszystkich funkcjonalności <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> również w `FastAPI`.

///

### Krok 2: utwórz instancję `FastAPI`

{*../../docs_src/first_steps/tutorial001.py hl[3] *}

In contrast to a "**container image**" that is the stored static contents, a "**container**" normally refers to the running instance, the thing that is being **executed**.

When the **container** is started and running (started from a **container image**) it could create or change files, environment variables, etc. Those changes will exist only in that container, but would not persist in the underlying container image (would not be saved to disk).

Here are some possible ideas:

* An "Init Container" in Kubernetes that runs before your app container
* A bash script that runs the previous steps and then starts your application
    * You would still need a way to start/restart *that* bash script, detect errors, etc.

/// tip