from starlette.exceptions import WebSocketException as StarletteWebSocketException


class EndpointContext(TypedDict, total=False):
    function: str
    path: str
    file: str
    line: int


class HTTPException(StarletteHTTPException):
    """
    An HTTP exception you can raise in your own code to show errors to the client.

                        "properties": {
                            "city": {"title": "City", "type": "string"},
                            "line_1": {"title": "Line 1", "type": "string"},
                            "state_province": {
                                "title": "State Province",
                                "type": "string",
                            },

common --repo_env=ML_WHEEL_BUILD_DATE=""
common --repo_env=ML_WHEEL_VERSION_SUFFIX=""

# For projects which use TensorFlow as part of a Bazel build process, putting
# nothing in a bazelrc will default to a monolithic build. The following line
# opts in to modular op registration support by default.
common --define framework_shared_object=true
common --define tsl_protobuf_header_only=true

common --define=allow_oversize_protos=true

* «the background task»: «der Hintergrundtask»
* «the button»: «der Button»
* «the cloud provider»: «der Cloudanbieter»
* «the CLI»: «Das CLI»
* «the coverage»: «Die Testabdeckung»
* «the command line interface»: «Das Kommandozeileninterface»
* «the default value»: «der Defaultwert»
* «the default value»: NOT «der Standardwert»
* «the default declaration»: «die Default-Deklaration»
* «the deployment»: «das Deployment»

                "- Otherwise, preserve the original translation LINE-BY-LINE, AS-IS.",
                "Do not:",
                "- rephrase or rewrite correct lines just to improve the style.",
                "- add or remove line breaks, unless the original English content changed.",
                "- change formatting or whitespace unless absolutely required.",

    "W",  # pycodestyle warnings
    "F",  # pyflakes
    "I",  # isort
    "B",  # flake8-bugbear
    "C4",  # flake8-comprehensions
    "UP",  # pyupgrade
]
ignore = [
    "E501",  # line too long, handled by black
    "B008",  # do not perform function calls in argument defaults
    "C901",  # too complex
    "W191",  # indentation contains tabs
]

[tool.ruff.lint.per-file-ignores]

<a href="https://typer.tiangolo.com" target="_blank"><img src="https://typer.tiangolo.com/img/logo-margin/logo-margin-vector.svg" style="width: 20%;"></a>

Wenn Sie eine <abbr title="Command Line Interface – Kommandozeilen-Schnittstelle">CLI</abbr>-Anwendung für das Terminal erstellen, anstelle einer Web-API, schauen Sie sich <a href="https://typer.tiangolo.com/" class="external-link" target="_blank">**Typer**</a> an.

* 📝 Remove obsolete `url` field in error responses in docs. PR [#13655](https://github.com/fastapi/fastapi/pull/13655) by [@Taoup](https://github.com/Taoup).
* 📝 Bring the `scope` claim in line with the standard in `docs_src/security/tutorial005.py`. PR [#11189](https://github.com/fastapi/fastapi/pull/11189) by [@DurandA](https://github.com/DurandA).

        if (source_file := inspect.getsourcefile(func)) is not None:
            ctx["file"] = source_file
        if (line_number := inspect.getsourcelines(func)[1]) is not None:
            ctx["line"] = line_number
        if (func_name := getattr(func, "__name__", None)) is not None:
            ctx["function"] = func_name
    except Exception:
        ctx = EndpointContext()

/// info | Info

Bedenken Sie, dass Datenklassen nicht alles können, was Pydantic-Modelle können.

Daher müssen Sie möglicherweise weiterhin Pydantic-Modelle verwenden.

Wenn Sie jedoch eine Menge Datenklassen herumliegen haben, ist dies ein guter Trick, um sie für eine Web-API mithilfe von FastAPI zu verwenden. 🤓

///

## Datenklassen in `response_model` { #dataclasses-in-response-model }