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fastapi/encoders.py
return encoder(obj) try: data = dict(obj) except Exception as e: errors: List[Exception] = [] errors.append(e) try: data = vars(obj) except Exception as e: errors.append(e) raise ValueError(errors) from e return jsonable_encoder( data, include=include, exclude=exclude,
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docs/en/docs/tutorial/background-tasks.md
# Background Tasks You can define background tasks to be run *after* returning a response. This is useful for operations that need to happen after a request, but that the client doesn't really have to be waiting for the operation to complete before receiving the response. This includes, for example: * Email notifications sent after performing an action:
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docs/en/docs/tutorial/body.md
<img src="/img/tutorial/body/image02.png"> ## Editor support In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model): <img src="/img/tutorial/body/image03.png"> You also get error checks for incorrect type operations: <img src="/img/tutorial/body/image04.png">
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docs/fr/docs/advanced/response-directly.md
Pour ces cas, vous pouvez spécifier un appel à `jsonable_encoder` pour convertir vos données avant de les passer à une réponse : ```Python hl_lines="6-7 21-22" {!../../../docs_src/response_directly/tutorial001.py!} ``` !!! note "Détails techniques"
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docs/de/docs/help-fastapi.md
* <a href="https://github.com/tiangolo/fastapi/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc+label%3Aquestion+-label%3Aanswered+" class="external-link" target="_blank">GitHub-Issues</a> In vielen Fällen kennen Sie möglicherweise bereits die Antwort auf diese Fragen. 🤓
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fastapi/_compat.py
).errors() use_errors.extend(new_errors) elif isinstance(error, list): use_errors.extend(_normalize_errors(error)) else: use_errors.append(error) return use_errors def _model_rebuild(model: Type[BaseModel]) -> None: model.update_forward_refs() def _model_dump(
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fastapi/routing.py
field.validate, response_content, {}, loc=("response",) ) if isinstance(errors_, list): errors.extend(errors_) elif errors_: errors.append(errors_) if errors: raise ResponseValidationError( errors=_normalize_errors(errors), body=response_content ) if hasattr(field, "serialize"):
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