</div>
                                </div>
                                <c:set var="pager" value="${crawlingInfoPager}"
                                       scope="request"/>
                                <c:import url="/WEB-INF/view/common/admin/crud/pagination.jsp"/>
                                <c:if test="${pager.currentPageNumber > pager.allPageCount}">

                                    </div>
                                </div>
                                <c:set var="pager" value="${charMappingPager}"
                                       scope="request"/>
                                <div class="row">
                                    <div class="col-sm-2">
                                        <la:message key="labels.pagination_page_guide_msg"

                                        </table>
                                    </div>
                                </div>
                                <c:set var="pager" value="${stopwordsPager}" scope="request"/>
                                <div class="row">
                                    <div class="col-sm-2">
                                        <la:message key="labels.pagination_page_guide_msg"

 & ⤴️ 👥 🔐 ⚫️ `finally` 🍫.

👉 🌌 👥 ⚒ 💭 💽 🎉 🕧 📪 ⏮️ 📨. 🚥 📤 ⚠ ⏪ 🏭 📨.

///

### 🔃 `request.state`

`request.state` 🏠 🔠 `Request` 🎚. ⚫️ 📤 🏪 ❌ 🎚 📎 📨 ⚫️, 💖 💽 🎉 👉 💼. 👆 💪 ✍ 🌅 🔃 ⚫️ <a href="https://www.starlette.io/requests/#other-state" class="external-link" target="_blank">💃 🩺 🔃 `Request` 🇵🇸</a>.

👥 👉 💼, ⚫️ ℹ 👥 🚚 👁 💽 🎉 ⚙️ 🔘 🌐 📨, &amp; ⤴️ 🔐 ⏮️ (🛠️).

### 🔗 ⏮️ `yield` ⚖️ 🛠️

它被直接导入/包含到FastAPI以便你可以从 `fastapi` 导入，并避免意外从 `starlette.background` 导入备用的 `BackgroundTask` (后面没有 `s`)。

通过仅使用 `BackgroundTasks` (而不是 `BackgroundTask`)，使得能将它作为 *路径操作函数* 的参数 ，并让**FastAPI**为您处理其余部分, 就像直接使用 `Request` 对象。

在FastAPI中仍然可以单独使用 `BackgroundTask`，但您必须在代码中创建对象，并返回包含它的Starlette `Response`。

        this.threadPool = null;
        final RequestProcessor processor = new RequestProcessor(encoding, threshold);
        connect(processor, e -> {
            throw new CurlException("Failed to process a request.", e);
        });
        return processor.getResponse();
    }

    protected String encode(final String value) {
        try {
            return URLEncoder.encode(value, encoding);

                if ( log.isDebugEnabled() ) {
                    log.debug("Server consumed trailing slash of request path, adjusting");
                }
                dr.pathConsumed--;
            }

            if ( log.isDebugEnabled() ) {
                String cons = reqPath.substring(0, consumed);
                log.debug("Request " + reqPath + " ref path " + dr.path + " consumed " + dr.pathConsumed + ": " + cons);
            }

          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A",
          "step": 4
        }
      ],
      "title": "Incoming Request Volume",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${datasource}"
      },
      "fieldConfig": {
        "defaults": {

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc.

      majorVersion != null && majorVersion >= 9 ->
        SSLContext.getInstance("TLS")
      else ->
        try {
          // Based on SSLSocket.getApplicationProtocol check we should
          // have TLSv1.3 if we request it.
          // See https://www.oracle.com/java/technologies/javase/8u261-relnotes.html
          SSLContext.getInstance("TLSv1.3")
        } catch (nsae: NoSuchAlgorithmException) {
          SSLContext.getInstance("TLS")