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docs/en/docs/tutorial/middleware.md
But if you have custom headers that you want a client in a browser to be able to see, you need to add them to your CORS configurations ([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank}) using the parameter `expose_headers` documented in <a href="https://www.starlette.io/middleware/#corsmiddleware" class="external-link" target="_blank">Starlette's CORS docs</a>.
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docs/de/docs/tutorial/middleware.md
class="external-link" target="_blank">Verwenden Sie dafür das Präfix 'X-'</a>. Wenn Sie jedoch benutzerdefinierte Header haben, die ein Client in einem Browser sehen soll, müssen Sie sie zu Ihrer CORS-Konfigurationen ([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank}) hinzufügen, indem Sie den Parameter `expose_headers` verwenden, der in der <a href="https://www.starlette.io/middleware/#corsmiddleware" class="external-link" target="_blank">Starlette-CORS-Dokumentation</a>...
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docs/de/docs/benchmarks.md
* Aber es bietet Ihnen die Tools zum Erstellen einfacher Webanwendungen, mit Routing basierend auf Pfaden, usw. * Wenn Sie Starlette vergleichen, vergleichen Sie es mit Webframeworks (oder Mikroframeworks) wie Sanic, Flask, Django, usw. * **FastAPI**:
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docs/es/docs/benchmarks.md
* Pero te proporciona las herramientas para crear aplicaciones web simples, con <abbr title="también conocido en español como: enrutamiento">routing</abbr> basado en <abbr title="tambien conocido en español como: rutas">paths</abbr>, etc. * Si estás comparando Starlette, compáralo con Sanic, Flask, Django, etc. Frameworks web (o microframeworks). * **FastAPI**:
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docs/en/docs/benchmarks.md
* But it provides you the tools to build simple web applications, with routing based on paths, etc. * If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks). * **FastAPI**:
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docs/en/docs/deployment/manually.md
```Python from main import app ``` !!! warning Uvicorn and others support a `--reload` option that is useful during development. The `--reload` option consumes much more resources, is more unstable, etc. It helps a lot during **development**, but you **shouldn't** use it in **production**. ## Hypercorn with Trio
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docs/zh/docs/advanced/custom-request-and-route.md
这样就可以让同一个路由类处理 gzip 压缩的请求或未压缩的请求。 ```Python hl_lines="8-15" {!../../../docs_src/custom_request_and_route/tutorial001.py!} ``` ### 创建自定义 `GzipRoute` 类 接下来,创建使用 `GzipRequest` 的 `fastapi.routing.APIRoute ` 的自定义子类。 此时,这个自定义子类会覆盖 `APIRoute.get_route_handler()`。 `APIRoute.get_route_handler()` 方法返回的是函数,并且返回的函数接收请求并返回响应。 本例用它根据原始请求创建 `GzipRequest`。 ```Python hl_lines="18-26"
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docs/de/docs/project-generation.md
* 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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fastapi/utils.py
from pydantic import BaseModel, create_model from pydantic.fields import FieldInfo from typing_extensions import Literal if TYPE_CHECKING: # pragma: nocover from .routing import APIRoute # Cache for `create_cloned_field` _CLONED_TYPES_CACHE: MutableMapping[ Type[BaseModel], Type[BaseModel] ] = WeakKeyDictionary()
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docs/en/docs/tutorial/testing.md
!!! info Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models. If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the `jsonable_encoder` described in [JSON Compatible Encoder](encoder.md){.internal-link target=_blank}. ## Run it After that, you just need to install `pytest`: <div class="termy">
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