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docs/en/docs/tutorial/middleware.md
# Middleware You can add middleware to **FastAPI** applications. A "middleware" is a function that works with every **request** before it is processed by any specific *path operation*. And also with every **response** before returning it. * It takes each **request** that comes to your application. * It can then do something to that **request** or run any needed code.
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docs/de/docs/project-generation.md
* **JWT-Token**-Authentifizierung. * **SQLAlchemy**-Modelle (unabhängig von Flask-Erweiterungen, sodass sie direkt mit Celery-Workern verwendet werden können). * Grundlegende Startmodelle für Benutzer (ändern und entfernen Sie nach Bedarf). * **Alembic**-Migrationen. * **CORS** (Cross Origin Resource Sharing). * **Celery**-Worker, welche Modelle und Code aus dem Rest des Backends selektiv importieren und verwenden können.
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docs/pt/docs/project-generation.md
* Modelos **SQLAlchemy** (independente de extensões Flask, para que eles possam ser usados com _workers_ Celery diretamente). * Modelos básicos para usuários (modifique e remova conforme suas necessidades). * Migrações **Alembic**. * **CORS** (_Cross Origin Resource Sharing_ - Compartilhamento de Recursos Entre Origens). * _Worker_ **Celery** que pode importar e usar modelos e códigos do resto do _backend_ seletivamente.
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docs/fr/docs/project-generation.md
* Modèle de démarrages basiques pour les utilisateurs (à modifier et supprimer au besoin). * Migrations **Alembic**. * **CORS** (partage des ressources entre origines multiples, ou *Cross Origin Resource Sharing*). * *Worker* **Celery** pouvant importer et utiliser les modèles et le code du reste du backend.
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docs/ja/docs/tutorial/background-tasks.md
これらは、より複雑な構成、RabbitMQ や Redis などのメッセージ/ジョブキューマネージャーを必要とする傾向がありますが、複数のプロセス、特に複数のサーバーでバックグラウンドタスクを実行できます。 例を確認するには、[Project Generators](../project-generation.md){.internal-link target=_blank} を参照してください。これらにはすべて、Celery が構築済みです。
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docs/en/docs/how-to/graphql.md
# GraphQL As **FastAPI** is based on the **ASGI** standard, it's very easy to integrate any **GraphQL** library also compatible with ASGI. You can combine normal FastAPI *path operations* with GraphQL on the same application. !!! tip **GraphQL** solves some very specific use cases. It has **advantages** and **disadvantages** when compared to common **web APIs**.
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docs/en/docs/deployment/versions.md
!!! tip The "MINOR" is the number in the middle, for example, in `0.2.3`, the MINOR version is `2`. ## Upgrading the FastAPI versions You should add tests for your app. With **FastAPI** it's very easy (thanks to Starlette), check the docs: [Testing](../tutorial/testing.md){.internal-link target=_blank}
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docs/en/docs/tutorial/testing.md
It is based on <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, which in turn is designed based on Requests, so it's very familiar and intuitive. With it, you can use <a href="https://docs.pytest.org/" class="external-link" target="_blank">pytest</a> directly with **FastAPI**. ## Using `TestClient` !!! info
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docs/en/docs/how-to/conditional-openapi.md
* Configure any required permissions and roles using dependencies. * Never store plaintext passwords, only password hashes. * Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc. * Add more granular permission controls with OAuth2 scopes where needed. * ...etc.
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docs/pt/docs/tutorial/background-tasks.md
seja executado pelo mesmo processo (por exemplo, você não precisa compartilhar memória, variáveis, etc), você pode se beneficiar do uso de outras ferramentas maiores, como <a href="http://www.celeryproject.org/" class="external-link" target="_blank"> Celery </a>. Eles tendem a exigir configurações mais complexas, um gerenciador de fila de mensagens/tarefas, como RabbitMQ ou Redis, mas permitem que você execute tarefas em segundo plano em vários processos e, especialmente, em vários servidores....
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