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docs/en/docs/advanced/behind-a-proxy.md
And the `--root-path` command line option provides that `root_path`. ### Checking the current `root_path` You can get the current `root_path` used by your application for each request, it is part of the `scope` dictionary (that's part of the ASGI spec). Here we are including it in the message just for demonstration purposes. ```Python hl_lines="8" {!../../../docs_src/behind_a_proxy/tutorial001.py!} ```
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docs/fr/docs/history-design-future.md
> Quelle est l'histoire de ce projet ? Il semble être sorti de nulle part et est devenu génial en quelques semaines [...]. Voici un petit bout de cette histoire. ## Alternatives
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docs/en/docs/tutorial/path-params.md
Using an option directly from Starlette you can declare a *path parameter* containing a *path* using a URL like: ``` /files/{file_path:path} ``` In this case, the name of the parameter is `file_path`, and the last part, `:path`, tells it that the parameter should match any *path*. So, you can use it with: ```Python hl_lines="6" {!../../../docs_src/path_params/tutorial004.py!} ``` !!! tip
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docs/en/docs/tutorial/first-steps.md
This will be the main point of interaction to create all your API. ### Step 3: create a *path operation* #### Path "Path" here refers to the last part of the URL starting from the first `/`. So, in a URL like: ``` https://example.com/items/foo ``` ...the path would be: ``` /items/foo ``` !!! info
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docs/en/docs/tutorial/bigger-applications.md
You want to have the *path operations* related to your users separated from the rest of the code, to keep it organized. But it's still part of the same **FastAPI** application/web API (it's part of the same "Python Package"). You can create the *path operations* for that module using `APIRouter`. ### Import `APIRouter`
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docs/en/docs/tutorial/request-forms-and-files.md
This is not a limitation of **FastAPI**, it's part of the HTTP protocol. ## Recap
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docs/en/docs/deployment/concepts.md
* Kubernetes with an Ingress Controller like Nginx * With an external component like cert-manager for certificate renewals * Handled internally by a cloud provider as part of their services (read below 👇)
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docs/en/docs/how-to/custom-request-and-route.md
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pyproject.toml
# For ORJSONResponse "orjson >=3.2.1", # To validate email fields "email_validator >=2.0.0", # Uvicorn with uvloop "uvicorn[standard] >=0.12.0", # TODO: this should be part of some pydantic optional extra dependencies # # Settings management # "pydantic-settings >=2.0.0", # # Extra Pydantic data types # "pydantic-extra-types >=2.0.0", ] all = [
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docs/fr/docs/async.md
* **Coroutines** ## Code asynchrone Faire du code asynchrone signifie que le langage 💬 est capable de dire à l'ordinateur / au programme 🤖 qu'à un moment du code, il 🤖 devra attendre que *quelque chose d'autre* se termine autre part. Disons que ce *quelque chose d'autre* est appelé "fichier-lent" 📝. Donc, pendant ce temps, l'ordinateur pourra effectuer d'autres tâches, pendant que "fichier-lent" 📝 se termine.
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