llm change to qwen3.5

llm/llm_thinking_engine.py

@@ -11,10 +11,10 @@ class LLMConfig:
     """LLM配置类"""
     api_key: Optional[str] = None
     base_url: str = "https://dashscope.aliyuncs.com/compatible-mode/v1"
-    model: str = "deepseek-v3.2"
+    model: str = "qwen3.5-plus"
     enable_thinking: bool = True
     temperature: float = 0.7
-    max_tokens: int = 2048
+    max_tokens: int = 4096
 
 
 class LLMThinkingEngine:

task/hot_topic/real_estate_story.py

@@ -131,7 +131,11 @@ def story_edit_task():
                 logger.warning(f"story_edit_task content id: {content.id} llm生成的结果不是有效的json格式，无法解析故事内容")
                 continue
             # 将生成的故事写入Article表
+            try:
                 json_story = json.loads(story)
+            except json.JSONDecodeError:
+                logger.warning(f"story_edit_task content id: {content.id} llm生成的故事内容不是有效的json格式，无法解析故事内容")
+                continue
             title = json_story.get("title", "无标题")
             paragraphs = json_story.get("body", ["无内容"])
             article_content = "\n".join(paragraphs)
@@ -163,7 +167,11 @@ def story_edit_task():
                 logger.warning(f"story_edit_task content id: {content.id} llm生成的结果不是有效的json格式，无法解析故事内容")
                 continue
             # 将生成的故事写入Article表
+            try:
                 json_story = json.loads(story)
+            except json.JSONDecodeError:
+                logger.warning(f"story_edit_task content id: {content.id} llm生成的故事内容不是有效的json格式，无法解析故事内容")
+                continue
             title = json_story.get("title", "无标题")
             paragraphs = json_story.get("body", ["无内容"])
             article_content = "\n".join(paragraphs)