refactor(DifyChatService): 重构深度思考内容解析逻辑

- 移除独立的 parseDeepThinkingContent 方法，将其逻辑内联到 responseMess 方法中
- 简化思考标记的开始和结束标签处理流程
- 优化推理内容构建过程，直接在事件响应中处理思考内容
- 修复原有的逻辑判断条件，确保消息和推理内容正确分离
- 减少不必要的字符串操作和条件判断分支
- 提高代码可读性和维护性

src/main/java/cn/com/poc/common/service/impl/DifyChatServiceImpl.java

@@ -189,45 +189,27 @@ public class DifyChatServiceImpl implements DifyChatService {
 
                 boolean isThink = false;
 
-                /**
-                 * 解析深度思考文本内容
-                 * 处理思考标记的开始和结束标签，提取纯文本内容
-                 *
-                 * @param content 原始内容
-                 * @return 解析后的文本内容，如果内容不完整则返回空字符串
-                 */
-                String parseDeepThinkingContent(String content) {
-                    if (!isThink) {
-                        if (content.contains(THINK_START_TAG)) {
-                            isThink = true;
-                            return content.replaceFirst(THINK_START_TAG, StringUtils.EMPTY);
-                        }
-                        return content;
-                    } else {
-                        if (content.contains(THINK_END_TAG)) {
-                            isThink = false;
-                            return content.replaceFirst(THINK_END_TAG, StringUtils.EMPTY);
-                        }
-                        return StringUtils.EMPTY;
-                    }
-                }
-
                 void responseMess(MessageEvent event) throws IOException {
                     if (StringUtils.isNotEmpty(event.getAnswer())) {
-                        String think = parseDeepThinkingContent(event.getAnswer());
                         LargeModelDemandResult largeModelDemandResult = new LargeModelDemandResult();
-                        if (isThink || StringUtils.isNotBlank(think)) {
-                            largeModelDemandResult.setReasoningContent(think);
-                            reasoningContentBuilder.append(think);
-                        } else if (!isThink || StringUtils.isNotBlank(think)) {
-                            largeModelDemandResult.setMessage(think);
-                            reasoningContentBuilder.append(think);
-                        } else {
-                            largeModelDemandResult.setMessage(event.getAnswer());
-                            messageBuilder.append(event.getAnswer());
+                        if (StringUtils.isNotEmpty(event.getAnswer())) {
+                            String content = event.getAnswer();
+                            if (!isThink) {
+                                if (content.contains(THINK_START_TAG)) {
+                                    isThink = true;
+                                    largeModelDemandResult.setReasoningContent(
+                                            content.replaceFirst(THINK_START_TAG, StringUtils.EMPTY));
+                                } else {
+                                    largeModelDemandResult.setMessage(content);
+                                }
+                            } else {
+                                largeModelDemandResult.setReasoningContent(
+                                        content.replaceFirst(THINK_END_TAG, StringUtils.EMPTY));
+                                isThink = !content.contains(THINK_END_TAG);
+                            }
+                            largeModelDemandResult.setCode("0");
+                            sseUtil.send(JsonUtils.serialize(largeModelDemandResult));
                         }
-                        largeModelDemandResult.setCode("0");
-                        sseUtil.send(JsonUtils.serialize(largeModelDemandResult));
                     }
                 }