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docs/en/docs/advanced/behind-a-proxy.md
"root_path": "/api/v1" } ``` but this time at the URL with the prefix path provided by the proxy: `/api/v1`. Of course, the idea here is that everyone would access the app through the proxy, so the version with the path prefix `/api/v1` is the "correct" one. And the version without the path prefix (`http://127.0.0.1:8000/app`), provided by Uvicorn directly, would be exclusively for the _proxy_ (Traefik) to access it.
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docs/en/docs/alternatives.md
These features are what Marshmallow was built to provide. It is a great library, and I have used it a lot before. But it was created before there existed Python type hints. So, to define every <abbr title="the definition of how data should be formed">schema</abbr> you need to use specific utils and classes provided by Marshmallow. !!! check "Inspired **FastAPI** to" Use code to define "schemas" that provide data types and validation, automatically.
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docs/en/docs/advanced/generate-clients.md
# Generate Clients As **FastAPI** is based on the OpenAPI specification, you get automatic compatibility with many tools, including the automatic API docs (provided by Swagger UI). One particular advantage that is not necessarily obvious is that you can **generate clients** (sometimes called <abbr title="Software Development Kits">**SDKs**</abbr> ) for your API, for many different **programming languages**. ## OpenAPI Client Generators
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fastapi/security/http.py
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fastapi/security/oauth2.py
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docs/en/docs/benchmarks.md
Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools). The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool. The hierarchy is like: * **Uvicorn**: an ASGI server * **Starlette**: (uses Uvicorn) a web microframework
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docs_src/bigger_applications/app_an_py39/dependencies.py
raise HTTPException(status_code=400, detail="X-Token header invalid") async def get_query_token(token: str): if token != "jessica":
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docs_src/security/tutorial003_an_py39.py
hashed_password: str def get_user(db, username: str): if username in db: user_dict = db[username] return UserInDB(**user_dict) def fake_decode_token(token): # This doesn't provide any security at all # Check the next version user = get_user(fake_users_db, token) return user async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
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docs/en/docs/how-to/graphql.md
* <a href="https://tartiflette.io/" class="external-link" target="_blank">Tartiflette</a> * With <a href="https://tartiflette.github.io/tartiflette-asgi/" class="external-link" target="_blank">Tartiflette ASGI</a> to provide ASGI integration * <a href="https://graphene-python.org/" class="external-link" target="_blank">Graphene</a>
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docs/en/docs/tutorial/first-steps.md
``` ### Interactive API docs Now go to <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>. You will see the automatic interactive API documentation (provided by <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>): ![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png) ### Alternative API docs
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