"""
    An HTTP exception you can raise in your own code to show errors to the client.

    This is for client errors, invalid authentication, invalid data, etc. Not for server
    errors in your code.

    Read more about it in the
    [FastAPI docs for Handling Errors](https://fastapi.tiangolo.com/tutorial/handling-errors/).

    ## Example

    ```python
    from fastapi import FastAPI, HTTPException

            async_exit_stack=async_exit_stack,
            embed_body_fields=embed_body_fields,
        )
        background_tasks = solved_result.background_tasks
        if solved_result.errors:
            errors.extend(solved_result.errors)
            continue
        if sub_dependant.use_cache and sub_dependant.cache_key in dependency_cache:
            solved = dependency_cache[sub_dependant.cache_key]
        elif (

                None,
            )
        except ValidationError as exc:
            return None, _regenerate_error_with_loc(
                errors=exc.errors(include_url=False), loc_prefix=loc
            )

    def serialize(
        self,
        value: Any,
        *,
        mode: Literal["json", "python"] = "json",

def test_exception_handler_body_access(client: TestClient):
    response = client.post("/", json={"numbers": [1, 2, 3]})
    assert response.json() == {
        "detail": {
            "errors": [
                {
                    "type": "list_type",
                    "loc": ["body"],
                    "msg": "Input should be a valid list",
                    "input": {"numbers": [1, 2, 3]},

        )
    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,

    if mod_name in sys.modules:
        del sys.modules[mod_name]  # pragma: no cover

    with pytest.raises(ValidationError) as exc_info:
        importlib.import_module(mod_name)
    assert exc_info.value.errors() == [
        {
            "loc": ("admin_email",),
            "msg": "Field required",
            "type": "missing",
            "input": {},
            "url": IsAnyStr,
        }
    ]

            git push
          fi
      - uses: pre-commit-ci/lite-action@v1.1.0
        if: env.HAS_SECRETS == 'false'
        with:
          msg: 🎨 Auto format
      - name: Error out on pre-commit errors
        if: steps.precommit.outcome == 'failure'
        run: exit 1

  # https://github.com/marketplace/actions/alls-green#why
  pre-commit-alls-green:  # This job does nothing and is only used for the branch protection

            dependency_overrides_provider=dependency_overrides_provider,
            async_exit_stack=async_exit_stack,
            embed_body_fields=embed_body_fields,
        )
        errors = solved_result.errors
        if not errors:
            raw_response = await run_endpoint_function(
                dependant=dependant,
                values=solved_result.values,
                is_coroutine=is_coroutine,
            )

    }


def test_validator_is_cloned(client: TestClient):
    with pytest.raises(ResponseValidationError) as err:
        client.get("/model/modelX")
    assert err.value.errors() == [
        {
            "type": "value_error",
            "loc": ("response", "name"),
            "msg": "Value error, name must end in A",
            "input": "modelX",

You can also combine `dataclasses` with other type annotations to make nested data structures.

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement: