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docs/en/docs/tutorial/path-params.md
<img src="/img/tutorial/path-params/image01.png"> !!! check Again, just with that same Python type declaration, **FastAPI** gives you automatic, interactive documentation (integrating Swagger UI). Notice that the path parameter is declared to be an integer.
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docs/en/docs/tutorial/first-steps.md
You will see the JSON response as: ```JSON {"message": "Hello World"} ``` ### Interactive API docs Now go to <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>. You will see the automatic interactive API documentation (provided by <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>):
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docs/fr/docs/deployment/docker.md
{"item_id": 5, "q": "somequery"} ``` ## Documentation interactive de l'API Vous pouvez maintenant visiter <a href="http://192.168.99.100/docs" class="external-link" target="_blank">http://192.168.99.100/docs</a> ou <a href="http://127.0.0.1/docs" class="external-link" target="_blank">http://127.0.0.1/docs</a> (ou équivalent, en utilisant votre hôte Docker).
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docs/fr/docs/tutorial/path-params.md
documentation générée automatiquement et interactive : <img src="/img/tutorial/path-params/image01.png"> !!! info À nouveau, en utilisant uniquement les déclarations de type Python, **FastAPI** vous fournit automatiquement une documentation interactive (via Swagger UI). On voit bien dans la documentation que `item_id` est déclaré comme entier.
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docs/en/docs/tutorial/security/first-steps.md
```console $ uvicorn main:app --reload <span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) ``` </div> ## Check it Go to the interactive docs at: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>. You will see something like this: <img src="/img/tutorial/security/image01.png">
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docs/fa/docs/tutorial/security/index.md
این خاصیت، امکان دارد تا چندین رابط مستندات تعاملی خودکار(automatic interactive documentation interfaces)، تولید کد و غیره وجود داشته باشد. مشخصه OpenAPI روشی برای تعریف چندین "schemes" دارد. با استفاده از آنها، شما میتوانید از همه این ابزارهای مبتنی بر استاندارد استفاده کنید، از جمله این سیستمهای مستندات تعاملی(interactive documentation systems). استاندارد OpenAPI شیوههای امنیتی زیر را تعریف میکند:
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docs/fr/docs/project-generation.md
* **Concis** : Minimise la duplication de code. Plusieurs fonctionnalités à chaque déclaration de paramètre. * **Robuste** : Obtenez du code prêt pour être utilisé en production. Avec de la documentation automatique interactive.
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docs/fr/docs/tutorial/query-params-str-validations.md
## Déclarer des métadonnées supplémentaires On peut aussi ajouter plus d'informations sur le paramètre. Ces informations seront incluses dans le schéma `OpenAPI` généré et utilisées par la documentation interactive ou les outils externes utilisés. !!! note Gardez en tête que les outils externes utilisés ne supportent pas forcément tous parfaitement OpenAPI.
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docs/en/docs/how-to/async-sql-encode-databases.md
{!../../../docs_src/async_sql_databases/tutorial001.py!} ``` By creating these Pydantic models, the input data will be validated, serialized (converted), and annotated (documented). So, you will be able to see it all in the interactive API docs. ## Connect and disconnect * Create your `FastAPI` application. * Create event handlers to connect and disconnect from the database. ```Python hl_lines="42 45-47 50-52"
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docs/en/docs/tutorial/response-model.md
When you see the automatic docs, you can check that the input model and output model will both have their own JSON Schema: <img src="/img/tutorial/response-model/image01.png"> And both models will be used for the interactive API documentation: <img src="/img/tutorial/response-model/image02.png"> ## Other Return Type Annotations
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