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docs/em/docs/how-to/custom-request-and-route.md
âŪïļ ð, ð ð â ð. âïļ âĐïļ ð ð `GzipRequest.body`, ðĻ ðŠ ð ð ð ðâ âŦïļ ð **FastAPI** ðâ ðŠ. ## ð ðĻ ðŠ â ðâðĶš !!! tip â ð ð â , âŦïļ ðē ð âĐ âïļ `body` ð ðâðĶš `RequestValidationError` ([ð â](../tutorial/handling-errors.md#requestvalidationerror){.internal-link target=_blank}). âïļ ð ðž â & âŦïļ ðĶ â ð âŪïļ ð ðĶē. ðĨ ðŠ âïļ ð ð ðŊ ð ðĻ ðŠ â ðâðĶš. ð ðĨ ðŠ ðĩ ðĻ ð `try`/`except` ðŦ: ```Python hl_lines="13 15"
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docs/en/docs/release-notes.md
* [Install custom exception handlers](https://fastapi.tiangolo.com/tutorial/handling-errors/#install-custom-exception-handlers). * [Override the default exception handlers](https://fastapi.tiangolo.com/tutorial/handling-errors/#override-the-default-exception-handlers). * [Re-use **FastAPI's** exception handlers](https://fastapi.tiangolo.com/tutorial/handling-errors/#re-use-fastapis-exception-handlers).
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docs/en/docs/deployment/concepts.md
The main constraint to consider is that there has to be a **single** component handling the **port** in the **public IP**. And then it has to have a way to **transmit** the communication to the replicated **processes/workers**. Here are some possible combinations and strategies:
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src/main/java/org/codelibs/fess/mylasta/direction/sponsor/FessMultipartRequestHandler.java
return new File(getRepositoryPath()); } // =================================================================================== // Handling Parts // ============== protected void prepareElementsHash() { elementsText = new Hashtable<>(); elementsFile = new Hashtable<>();
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docs/en/docs/fastapi-cli.md
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docs/en/docs/tutorial/bigger-applications.md
â  âââ __init__.py # makes "internal" a "Python subpackage" â  âââ admin.py # "admin" submodule, e.g. import app.internal.admin ``` ## `APIRouter` Let's say the file dedicated to handling just users is the submodule at `/app/routers/users.py`. You want to have the *path operations* related to your users separated from the rest of the code, to keep it organized.
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docs/en/docs/deployment/docker.md
It could be another container, for example with <a href="https://traefik.io/" class="external-link" target="_blank">Traefik</a>, handling **HTTPS** and **automatic** acquisition of **certificates**. !!! tip Traefik has integrations with Docker, Kubernetes, and others, so it's very easy to set up and configure HTTPS for your containers with it.
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docs/en/docs/deployment/server-workers.md
## Uvicorn with Workers Uvicorn also has an option to start and run several **worker processes**. Nevertheless, as of now, Uvicorn's capabilities for handling worker processes are more limited than Gunicorn's. So, if you want to have a process manager at this level (at the Python level), then it might be better to try with Gunicorn as the process manager.
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docs/en/mkdocs.yml
- tutorial/extra-models.md - tutorial/response-status-code.md - tutorial/request-forms.md - tutorial/request-files.md - tutorial/request-forms-and-files.md - tutorial/handling-errors.md - tutorial/path-operation-configuration.md - tutorial/encoder.md - tutorial/body-updates.md - Dependencies: - tutorial/dependencies/index.md
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docs/en/docs/features.md
With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on Pydantic for all the data handling): * **No brainfuck**: * No new schema definition micro-language to learn. * If you know Python types you know how to use Pydantic.
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