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docs/tr/docs/features.md
* Path operasyonu parametreleri içerisinde belirtilen gereksinimler için bile **Otomatik doğrulama** yapılabiliyor. * Kompleks kimlik doğrulama sistemleri için destek, **database bağlantıları**, vs. * **Taviz yok** hiçbir şeyden taviz vermeden, database frontend vs. Bütün hepsinin kolayca entegre edilebiliyor. ### Sınırsız "plug-inler" Başka bir deyişle, plug-inlere ihtiyacımız yok, import edip direkt olarak kullanmaya başlayabiliriz.
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docs/en/docs/tutorial/handling-errors.md
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docs/zh/docs/tutorial/dependencies/classes-as-dependencies.md
=== "Python 3.6+" ```Python hl_lines="19" {!> ../../../docs_src/dependencies/tutorial002.py!} ``` **FastAPI** 调用 `CommonQueryParams` 类。这将创建该类的一个 "实例",该实例将作为参数 `commons` 被传递给你的函数。 ## 类型注解 vs `Depends` 注意,我们在上面的代码中编写了两次`CommonQueryParams`: ```Python commons: CommonQueryParams = Depends(CommonQueryParams) ``` 最后的 `CommonQueryParams`: ```Python ... = Depends(CommonQueryParams)
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docs/en/docs/tutorial/dependencies/classes-as-dependencies.md
``` **FastAPI** calls the `CommonQueryParams` class. This creates an "instance" of that class and the instance will be passed as the parameter `commons` to your function. ## Type annotation vs `Depends` Notice how we write `CommonQueryParams` twice in the above code: === "Python 3.8+" ```Python commons: Annotated[CommonQueryParams, Depends(CommonQueryParams)] ```
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docs/tr/docs/history-design-future.md
## Tasarım Sonrasında, (**FastAPI** kullanan bir geliştirici olarak) sahip olmak istediğim "API"ı tasarlamak için biraz zaman harcadım. Çeşitli fikirleri en popüler Python editörlerinde test ettim: PyCharm, VS Code, Jedi tabanlı editörler.
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docs/en/docs/tutorial/sql-databases.md
But as the content/parameter of that `List` is a Pydantic *model* with `orm_mode`, the data will be retrieved and returned to the client as normally, without problems. ### About `def` vs `async def` Here we are using SQLAlchemy code inside of the *path operation function* and in the dependency, and, in turn, it will go and communicate with an external database. That could potentially require some "waiting".
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docs/de/docs/tutorial/handling-errors.md
} ] } ``` eine Textversion: ``` 1 validation error path -> item_id value is not a valid integer (type=type_error.integer) ``` #### `RequestValidationError` vs. `ValidationError` !!! warning "Achtung" Das folgende sind technische Details, die Sie überspringen können, wenn sie für Sie nicht wichtig sind.
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docs/de/docs/history-design-future.md
Dann habe ich einige Zeit damit verbracht, die Entwickler-„API“ zu entwerfen, die ich als Benutzer haben wollte (als Entwickler, welcher FastAPI verwendet). Ich habe mehrere Ideen in den beliebtesten Python-Editoren getestet: PyCharm, VS Code, Jedi-basierte Editoren.
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docs/en/data/external_links.yml
- author: William Hayes author_link: https://medium.com/@williamhayes link: https://medium.com/@williamhayes/fastapi-starlette-debug-vs-prod-5f7561db3a59 title: FastAPI/Starlette debug vs prod - author: Mukul Mantosh author_link: https://twitter.com/MantoshMukul link: https://www.jetbrains.com/pycharm/guide/tutorials/fastapi-aws-kubernetes/
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docs/zh/docs/history-design-future.md
而且,最好的方式是使用现有的标准。 因此,甚至在开发 **FastAPI** 前,我就花了几个月的时间研究 OpenAPI、JSON Schema、OAuth2 等规范。深入理解它们之间的关系、重叠及区别之处。 ## 设计 然后,我又花了一些时间从用户角度(使用 FastAPI 的开发者)设计了开发者 **API**。 同时,我还在最流行的 Python 代码编辑器中测试了很多思路,包括 PyCharm、VS Code、基于 Jedi 的编辑器。 根据最新 <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python 开发者调研报告</a>显示,这几种编辑器覆盖了约 80% 的用户。
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