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docs/en/docs/reference/background.md
You can declare a parameter in a *path operation function* or dependency function with the type `BackgroundTasks`, and then you can use it to schedule the execution of background tasks after the response is sent. You can import it directly from `fastapi`: ```python from fastapi import BackgroundTasks ```
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docs/fr/docs/advanced/additional-responses.md
## Réponse supplémentaire avec `model` Vous pouvez ajouter à votre décorateur de *paramètre de chemin* un paramètre `responses`. Il prend comme valeur un `dict` dont les clés sont des codes HTTP pour chaque réponse, comme `200`, et la valeur de ces clés sont d'autres `dict` avec des informations pour chacun d'eux. Chacun de ces `dict` de réponse peut avoir une clé `model`, contenant un modèle Pydantic, tout comme `response_model`.
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fastapi/security/oauth2.py
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docs/fr/docs/tutorial/path-params.md
``` !!! info <a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Les énumérations (ou enums) sont disponibles en Python</a> depuis la version 3.4. !!! tip "Astuce" Pour ceux qui se demandent, "AlexNet", "ResNet", et "LeNet" sont juste des noms de <abbr title="Techniquement, des architectures de modèles">modèles</abbr> de Machine Learning. ### Déclarer un paramètre de chemin
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docs/fr/docs/history-design-future.md
## Futur À ce stade, il est déjà clair que **FastAPI** et ses idées sont utiles pour de nombreuses personnes. Elle a été préférée aux solutions précédentes parce qu'elle convient mieux à de nombreux cas d'utilisation.
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docs/en/docs/advanced/generate-clients.md
### API Docs If you go to the API docs, you will see that it has the **schemas** for the data to be sent in requests and received in responses: <img src="/img/tutorial/generate-clients/image01.png"> You can see those schemas because they were declared with the models in the app.
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docs/en/docs/tutorial/first-steps.md
In that case, it would mean the JSON attributes, and data types they have, etc. #### OpenAPI and JSON Schema OpenAPI defines an API schema for your API. And that schema includes definitions (or "schemas") of the data sent and received by your API using **JSON Schema**, the standard for JSON data schemas. #### Check the `openapi.json`
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docs/en/docs/alternatives.md
One of the main features needed by API systems is data "<abbr title="also called marshalling, conversion">serialization</abbr>" which is taking data from the code (Python) and converting it into something that can be sent through the network. For example, converting an object containing data from a database into a JSON object. Converting `datetime` objects into strings, etc.
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docs/fr/docs/async.md
#### Burgers parallèles Imaginons désormais que ce ne sont pas des "burgers concurrents" mais des "burgers parallèles". Vous allez avec votre crush 😍 dans un fast food 🍔 parallélisé. Vous attendez pendant que plusieurs (disons 8) serveurs qui sont aussi des cuisiniers 👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳 prennent les commandes des personnes devant vous.
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docs/em/docs/tutorial/dependencies/dependencies-with-yield.md
participant dep as Dep with yield participant operation as Path Operation participant tasks as Background tasks Note over client,tasks: Can raise exception for dependency, handled after response is sent Note over client,operation: Can raise HTTPException and can change the response client ->> dep: Start request Note over dep: Run code up to yield opt raise dep -->> handler: Raise HTTPException
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