// Data source to record
	io.Reader
	// Response body should be logged
	LogBody bool

	// internal recording buffer
	buf bytes.Buffer
	// total bytes read including header size
	bytesRead int
}

// Close is a no operation closer
func (r *RequestRecorder) Close() error {
	// no-op
	return nil
}

// Read reads from the internal reader and counts/save the body in the memory

from fastapi import Body, FastAPI, Request, Response
from fastapi.routing import APIRoute


class GzipRequest(Request):
    async def body(self) -> bytes:
        if not hasattr(self, "_body"):
            body = await super().body()
            if "gzip" in self.headers.getlist("Content-Encoding"):
                body = gzip.decompress(body)
            self._body = body
        return self._body

from fastapi import Body, FastAPI, Request, Response
from fastapi.routing import APIRoute


class GzipRequest(Request):
    async def body(self) -> bytes:
        if not hasattr(self, "_body"):
            body = await super().body()
            if "gzip" in self.headers.getlist("Content-Encoding"):
                body = gzip.decompress(body)
            self._body = body
        return self._body

from typing import Annotated

from fastapi import Body, FastAPI, Request, Response
from fastapi.routing import APIRoute


class GzipRequest(Request):
    async def body(self) -> bytes:
        if not hasattr(self, "_body"):
            body = await super().body()
            if "gzip" in self.headers.getlist("Content-Encoding"):
                body = gzip.decompress(body)
            self._body = body
        return self._body

```

例如：

{* ../../docs_src/body_nested_models/tutorial008_py39.py hl[13] *}

## 无处不在的编辑器支持

你可以随处获得编辑器支持。

即使是列表中的元素：

<img src="https://fastapi.tiangolo.com/img/tutorial/body-nested-models/image01.png">

如果你直接使用 `dict` 而不是 Pydantic 模型，那你将无法获得这种编辑器支持。

但是你根本不必担心这两者，传入的字典会自动被转换，你的输出也会自动被转换为 JSON。

## 任意 `dict` 构成的请求体

你也可以将请求体声明为使用某类型的键和其他类型值的 `dict`。

      val request = chain.request()
      if (level == Level.NONE) {
        return chain.proceed(request)
      }

      val logBody = level == Level.BODY
      val logHeaders = logBody || level == Level.HEADERS

      val requestBody = request.body

      val connection = chain.connection()
      var requestStartMessage =

// Populates `body_nodes` with the nodes that will become function's body.
// Performs various checks.
absl::Status ComputeBodyNodes(
    const TF_Graph* fn_body, const char* fn_name, int num_opers,
    const TF_Operation* const* opers,
    const std::unordered_map<const Node*, std::vector<int>>& input_nodes,
    std::vector<const Node*>* body_nodes)
    TF_EXCLUSIVE_LOCKS_REQUIRED(fn_body->mu) {
  if (num_opers == -1) {

                                <jsp:include page="/WEB-INF/view/common/admin/crud/header.jsp"></jsp:include>
                            </div>
                                <%-- Card Body --%>
                            <div class="card-body">
                                    <%-- Message --%>
                                <div>
                                    <la:info id="msg" message="true">

                                <jsp:include page="/WEB-INF/view/common/admin/crud/header.jsp"></jsp:include>
                            </div>
                                <%-- Card Body --%>
                            <div class="card-body">
                                    <%-- Message --%>
                                <div>
                                    <la:info id="msg" message="true">

                                <jsp:include page="/WEB-INF/view/common/admin/crud/header.jsp"></jsp:include>
                            </div>
                                <%-- Card Body --%>
                            <div class="card-body">
                                    <%-- Message --%>
                                <div>
                                    <la:info id="msg" message="true">