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docs/em/docs/tutorial/security/simple-oauth2.md
Nils Lindemann <******@****.***> 1713469999 +0200
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docs/zh/docs/tutorial/security/simple-oauth2.md
Nils Lindemann <******@****.***> 1713469999 +0200
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docs/fr/docs/deployment/docker.md
* (Optionnellement) comprendre ce que vous, en tant que développeur, devez savoir sur HTTPS. * Configurer un cluster en mode Docker Swarm avec HTTPS automatique, même sur un simple serveur à 5 dollars US/mois. En environ **20 min**. * Générer et déployer une application **FastAPI** complète, en utilisant votre cluster Docker Swarm, avec HTTPS, etc. En environ **10 min**.
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docs/fr/docs/deployment/index.md
# Déploiement Le déploiement d'une application **FastAPI** est relativement simple. ## Que signifie le déploiement **Déployer** une application signifie effectuer les étapes nécessaires pour la rendre **disponible pour les utilisateurs**. Pour une **API Web**, cela implique normalement de la placer sur une **machine distante**, avec un **programme serveur**
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tests/test_security_http_basic_realm_description.py
assert response.headers["WWW-Authenticate"] == 'Basic realm="simple"' def test_security_http_basic_invalid_credentials(): response = client.get( "/users/me", headers={"Authorization": "Basic notabase64token"} ) assert response.status_code == 401, response.text assert response.headers["WWW-Authenticate"] == 'Basic realm="simple"' assert response.json() == {"detail": "Invalid authentication credentials"}
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docs/en/docs/benchmarks.md
* Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code. * 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/fr/docs/benchmarks.md
En particulier, on voit Uvicorn, Starlette et FastAPI comparés (parmi de nombreux autres outils). Plus le problème résolu par un outil est simple, mieux seront les performances obtenues. Et la plupart des tests de performance ne prennent pas en compte les fonctionnalités additionnelles fournies par les outils. La hiérarchie est la suivante :
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docs/em/docs/tutorial/first-steps.md
![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png) ### 🎛 🛠️ 🩺 & 🔜, 🚶 <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a>. 👆 🔜 👀 🎛 🏧 🧾 (🚚 <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank">📄</a>): ![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png) ### 🗄
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tests/test_response_model_include_exclude.py
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docs/en/docs/tutorial/testing.md
Create functions with a name that starts with `test_` (this is standard `pytest` conventions). Use the `TestClient` object the same way as you do with `httpx`. Write simple `assert` statements with the standard Python expressions that you need to check (again, standard `pytest`). ```Python hl_lines="2 12 15-18" {!../../../docs_src/app_testing/tutorial001.py!} ``` !!! tip
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