task: add real estate story

task/hot_topic/real_estate_story.py

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+from datetime import datetime
+import json
+from task.manager_task import execute_task
+from config.database import SessionLocal
+from models import SourceContent, Article
+from utils import logger
+from llm import LLMThinkingEngine
+
+
+def story_edit_task():
+    with SessionLocal() as db:
+        # 获取今天的所有帖子信息
+        today_contents = db.query(SourceContent).filter(
+            SourceContent.create_time >= datetime.today().replace(hour=0, minute=0, second=0, microsecond=0)
+        ).limit(10).all()
+        if len(today_contents) == 0:
+            logger.info("story_edit_task finish, content size 0")
+            return
+        logger.info(f"story_edit_task get {len(today_contents)} contents")
+        
+        llm_engine = LLMThinkingEngine(system_prompt_file="real_estate_story_system_prompt.txt")
+        for content in today_contents:
+            logger.info(f"story_edit_task content id: {content.id}, title: {content.link}, platform: {content.platform}")
+            story = llm_engine.think(f"故事素材：{content.content}")
+            logger.info(f"story_edit_task content id: {content.id} story: {story}")
+            # 将生成的故事写入Article表
+            json_story = json.loads(story)
+            title = json_story.get("title", "无标题")
+            paragraphs = json_story.get("body", ["无内容"])
+            article_content = "\n".join(paragraphs)
+            article = Article(
+                title=title,
+                keywords=None,
+                content=article_content,
+                used=False
+            )
+            db.add(article)
+            db.commit()
+            # break  # 目前先处理一条内容，后续再改成批量处理
+
+if __name__ == "__main__":
+    execute_task(story_edit_task)