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docs/tr/docs/python-types.md
{!../../../docs_src/python_types/tutorial009.py!} ``` `str` yerine `Optional[str]` kullanmak editorün bu değerin her zaman `str` tipinde değil bazen `None` tipinde de olabileceğini belirtir ve hataları tespit etmemizde yardımcı olur. #### Generic tipler Köşeli parantez içinde tip parametreleri alan bu türler, örneğin: * `List` * `Tuple` * `Set` * `Dict` * `Optional` * ...and others.
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docs/en/docs/tutorial/response-model.md
E.g. `pip install email-validator` or `pip install pydantic[email]`. And we are using this model to declare our input and the same model to declare our output: === "Python 3.10+" ```Python hl_lines="16" {!> ../../../docs_src/response_model/tutorial002_py310.py!} ``` === "Python 3.8+" ```Python hl_lines="18"
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docs/en/docs/tutorial/first-steps.md
You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from). A "decorator" takes the function below and does something with it. In our case, this decorator tells **FastAPI** that the function below corresponds to the **path** `/` with an **operation** `get`. It is the "**path operation decorator**". You can also use the other operations:
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docs/pl/docs/index.md
--- "_**Netflix** is pleased to announce the open-source release of our **crisis management** orchestration framework: **Dispatch**! [built with **FastAPI**]_"
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docs/it/docs/index.md
--- "_**Netflix** is pleased to announce the open-source release of our **crisis management** orchestration framework: **Dispatch**! [built with **FastAPI**]_"
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docs/en/docs/advanced/behind-a-proxy.md
So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema. Because we have a proxy with a path prefix of `/api/v1` for our app, the frontend needs to fetch the OpenAPI schema at `/api/v1/openapi.json`. ```mermaid graph LR browser("Browser") proxy["Proxy on http://0.0.0.0:9999/api/v1/app"] server["Server on http://127.0.0.1:8000/app"]
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docs/en/docs/how-to/custom-request-and-route.md
Doing this, our `GzipRequest` will take care of decompressing the data (if necessary) before passing it to our *path operations*. After that, all of the processing logic is the same. But because of our changes in `GzipRequest.body`, the request body will be automatically decompressed when it is loaded by **FastAPI** when needed.
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docs/en/docs/tutorial/security/first-steps.md
* The user types the `username` and `password` in the frontend, and hits `Enter`. * The frontend (running in the user's browser) sends that `username` and `password` to a specific URL in our API (declared with `tokenUrl="token"`). * The API checks that `username` and `password`, and responds with a "token" (we haven't implemented any of this yet).
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docs/en/docs/tutorial/bigger-applications.md
* find the module `dependencies` (an imaginary file at `app/routers/dependencies.py`)... * and from it, import the function `get_token_header`. But that file doesn't exist, our dependencies are in a file at `app/dependencies.py`. Remember how our app/file structure looks like: <img src="/img/tutorial/bigger-applications/package.svg"> --- The two dots `..`, like in: ```Python
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docs/hu/docs/index.md
"_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"
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