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docs/en/docs/tutorial/middleware.md
A "middleware" is a function that works with every **request** before it is processed by any specific *path operation*. And also with every **response** before returning it. * It takes each **request** that comes to your application. * It can then do something to that **request** or run any needed code. * Then it passes the **request** to be processed by the rest of the application (by some *path operation*).
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docs/en/docs/tutorial/static-files.md
You could also use `from starlette.staticfiles import StaticFiles`. **FastAPI** provides the same `starlette.staticfiles` as `fastapi.staticfiles` just as a convenience for you, the developer. But it actually comes directly from Starlette. ### What is "Mounting" "Mounting" means adding a complete "independent" application in a specific path, that then takes care of handling all the sub-paths.
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docs/en/docs/how-to/graphql.md
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docs/en/docs/tutorial/path-params.md
!!! check Notice that the value your function received (and returned) is `3`, as a Python `int`, not a string `"3"`. So, with that type declaration, **FastAPI** gives you automatic request <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>. ## Data validation
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docs/en/docs/deployment/manually.md
The main thing you need to run a **FastAPI** application (or any other ASGI application) in a remote server machine is an ASGI server program like **Uvicorn**, this is the one that comes by default in the `fastapi` command. There are several alternatives, including: * <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>: a high performance ASGI server.
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docs/en/docs/tutorial/testing.md
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docs/en/docs/tutorial/security/get-current-user.md
We are already halfway there. We just need to add a *path operation* for the user/client to actually send the `username` and `password`.
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docs/en/docs/tutorial/first-steps.md
"content": { "application/json": { ... ``` #### What is OpenAPI for The OpenAPI schema is what powers the two interactive documentation systems included. And there are dozens of alternatives, all based on OpenAPI. You could easily add any of those alternatives to your application built with **FastAPI**.
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fastapi/param_functions.py
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docs_src/extra_models/tutorial004.py
from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str description: str items = [ {"name": "Foo", "description": "There comes my hero"}, {"name": "Red", "description": "It's my aeroplane"}, ] @app.get("/items/", response_model=List[Item]) async def read_items():
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