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docs/en/docs/advanced/websockets.md
$ pip install websockets ---> 100% ``` </div> ## WebSockets client ### In production In your production system, you probably have a frontend created with a modern framework like React, Vue.js or Angular. And to communicate using WebSockets with your backend you would probably use your frontend's utilities. Or you might have a native mobile application that communicates with your WebSocket backend directly, in native code.
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docs/en/docs/advanced/dataclasses.md
7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses. Again, you can combine `dataclasses` with standard type annotations. 8. Notice that this *path operation function* uses regular `def` instead of `async def`. As always, in FastAPI you can combine `def` and `async def` as needed.
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docs/en/docs/tutorial/first-steps.md
### Step 5: return the content ```Python hl_lines="8" {!../../../docs_src/first_steps/tutorial001.py!} ``` You can return a `dict`, `list`, singular values as `str`, `int`, etc. You can also return Pydantic models (you'll see more about that later).
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docs/em/docs/tutorial/query-params-str-validations.md
``` === "🐍 3️⃣.1️⃣0️⃣ & 🔛" ```Python hl_lines="7" {!> ../../../docs_src/query_params_str_validations/tutorial003_py310.py!} ``` ## 🚮 🥔 🧬 👆 💪 🔬 <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">🥔 🧬</abbr> 👈 🔢 🔜 🏏: === "🐍 3️⃣.6️⃣ & 🔛" ```Python hl_lines="11"
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fastapi/param_functions.py
""" ), ] = True, ) -> Any: """ Declare a FastAPI Security dependency. The only difference with a regular dependency is that it can declare OAuth2 scopes that will be integrated with OpenAPI and the automatic UI docs (by default at `/docs`). It takes a single "dependable" callable (like a function).
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docs/en/docs/python-types.md
That means: "the variable `items` is a `list`, and each of the items in this list is a `str`". !!! tip If you use Python 3.9 or above, you don't have to import `List` from `typing`, you can use the same regular `list` type instead. By doing that, your editor can provide support even while processing items from the list: <img src="/img/python-types/image05.png"> Without types, that's almost impossible to achieve.
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docs/en/docs/release-notes.md
* The parameter `regex` has been deprecated and replaced by `pattern`. * You can read more about it in the docs for [Query Parameters and String Validations: Add regular expressions](https://fastapi.tiangolo.com/tutorial/query-params-str-validations/#add-regular-expressions). * New Pydantic models use an improved and simplified attribute `model_config` that takes a simple dict instead of an internal class `Config` for their configuration.
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docs/en/docs/tutorial/query-params-str-validations.md
```Python hl_lines="10" {!> ../../../docs_src/query_params_str_validations/tutorial003.py!} ``` ## Add regular expressions You can define a <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">regular expression</abbr> `pattern` that the parameter should match: === "Python 3.10+" ```Python hl_lines="11"
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docs/en/docs/tutorial/body-nested-models.md
* Editor support (completion, etc.), even for nested models * Data conversion * Data validation * Automatic documentation ## Special types and validation Apart from normal singular types like `str`, `int`, `float`, etc. you can use more complex singular types that inherit from `str`.
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docs/ja/docs/tutorial/body.md
`Optional[str]` の`Optional` はFastAPIでは使用されていません(FastAPIは`str`の部分のみ使用します)。しかし、`Optional[str]` はエディタがコードのエラーを見つけるのを助けてくれます。 ## Pydanticを使わない方法
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