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docs/fr/docs/history-design-future.md
Par exemple, il était clair que l'idéal était de se baser sur les annotations de type Python standard. De plus, la meilleure approche était d'utiliser des normes déjà existantes. Ainsi, avant même de commencer à coder **FastAPI**, j'ai passé plusieurs mois à étudier les spécifications d'OpenAPI, JSON Schema, OAuth2, etc. Comprendre leurs relations, leurs similarités et leurs différences.
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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
You can combine normal FastAPI *path operations* with GraphQL on the same application. !!! tip **GraphQL** solves some very specific use cases. It has **advantages** and **disadvantages** when compared to common **web APIs**. Make sure you evaluate if the **benefits** for your use case compensate the **drawbacks**. 🤓
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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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fastapi/param_functions.py
OAuth2 scopes required for the *path operation* that uses this Security dependency. The term "scope" comes from the OAuth2 specification, it seems to be intentionaly vague and interpretable. It normally refers to permissions, in cases to roles. These scopes are integrated with OpenAPI (and the API docs at `/docs`).
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tests/test_tutorial/test_extra_models/test_tutorial004_py39.py
@needs_py39 def test_get_items(client: TestClient): response = client.get("/items/") assert response.status_code == 200, response.text assert response.json() == [ {"name": "Foo", "description": "There comes my hero"}, {"name": "Red", "description": "It's my aeroplane"}, ] @needs_py39 def test_openapi_schema(client: TestClient): response = client.get("/openapi.json")
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