class ModelV1A(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.post("/sequence")
        def endpoint(data: list[ModelV1A]):  # pragma: no cover

app = FastAPI()


class JsonApiResponse(JSONResponse):
    media_type = "application/vnd.api+json"


class Error(BaseModel):
    status: str
    title: str


class JsonApiError(BaseModel):
    errors: list[Error]


@app.get(
    "/a",
    status_code=204,
    response_class=JsonApiResponse,
    responses={500: {"description": "Error", "model": JsonApiError}},
)
async def a():
    pass

    session.commit()
    session.refresh(hero)
    return hero


@app.get("/heroes/")
def read_heroes(
    session: SessionDep,
    offset: int = 0,
    limit: Annotated[int, Query(le=100)] = 100,
) -> list[Hero]:
    heroes = session.exec(select(Hero).offset(offset).limit(limit)).all()
    return heroes


@app.get("/heroes/{hero_id}")
def read_hero(hero_id: int, session: SessionDep) -> Hero:

                                </la:info>
                                <la:errors/>
                            </div>
                            <%-- List --%>
                            <c:if test="${fn:length(dictFiles) == 0}">
                                <div class="row top10">
                                    <div class="col-sm-12">

      else -> null // No TLS extensions if the socket class is custom.
    }

  override fun configureTlsExtensions(
    sslSocket: SSLSocket,
    hostname: String?,
    protocols: List<Protocol>,
  ) {
    // No TLS extensions if the socket class is custom.
    if (matchesSocket(sslSocket)) {
      // Enable session tickets.
      Conscrypt.setUseSessionTickets(sslSocket, true)

      // Enable ALPN.

# JSON 兼容编码器

在某些情况下，您可能需要将数据类型（如Pydantic模型）转换为与JSON兼容的数据类型（如`dict`、`list`等）。

比如，如果您需要将其存储在数据库中。

对于这种要求， **FastAPI**提供了`jsonable_encoder()`函数。

## 使用`jsonable_encoder`

让我们假设你有一个数据库名为`fake_db`，它只能接收与JSON兼容的数据。

例如，它不接收`datetime`这类的对象，因为这些对象与JSON不兼容。

因此，`datetime`对象必须将转换为包含<a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO格式化</a>的`str`类型对象。

同样，这个数据库也不会接收Pydantic模型（带有属性的对象），而只接收`dict`。

		// KMS Key APIs
		kmsRouter.Methods(http.MethodPost).Path(version+"/key/create").HandlerFunc(gz(httpTraceAll(kmsAPI.KMSCreateKeyHandler))).Queries("key-id", "{key-id:.*}")
		kmsRouter.Methods(http.MethodGet).Path(version+"/key/list").HandlerFunc(gz(httpTraceAll(kmsAPI.KMSListKeysHandler))).Queries("pattern", "{pattern:.*}")
		kmsRouter.Methods(http.MethodGet).Path(version + "/key/status").HandlerFunc(gz(httpTraceAll(kmsAPI.KMSKeyStatusHandler)))
	}

# https://github.com/tensorflow/tensorflow/blob/cc3006af6fea8d2a1360b3b5e65f9d14bbdb7094/ci/devinfra/docker/windows2022/Dockerfile#L196
TFCI_OUTPUT_WIN_DOCKER_DIR='C:/drive_t'

# Docker on Windows doesn't support the `host` networking mode, and so
# port-forwarding is required for the container to detect it's running on GCE.
export IP_ADDR=$(powershell -command "(Get-NetIPAddress -AddressFamily IPv4 -InterfaceAlias 'vEthernet (nat)').IPAddress")

    protected Set<String> apiResponseFieldSet;

    /** Set of fields that are not analyzed during indexing */
    protected Set<String> notAnalyzedFieldSet;

    /** List of additional default fields with their boost values */
    protected List<Pair<String, Float>> additionalDefaultList = new ArrayList<>();

    /**
     * Initializes the query field configuration by loading field mappings from FessConfig.

        queryLambda.callback(cq);
        final Collection<FilterFunctionBuilder> list = new ArrayList<>();
        if (functionsLambda != null) {
            functionsLambda.callback((cqLambda, scoreFunctionBuilder) -> {
                ElevateWordToLabelCQ cf = new ElevateWordToLabelCQ();
                cqLambda.callback(cf);
                list.add(new FilterFunctionBuilder(cf.getQuery(), scoreFunctionBuilder));
            });
        }