import edward

task/news/reference_message.py

@@ -0,0 +1,49 @@
+import re
+import time
+
+from database.database import get_session
+from database.tcontentdispatch.curd import get_content_by_title_and_category, create_or_update_content
+from database.tcontentdispatch.model import TContentDispatch
+from database.tmaterial.crud import update_material_by_id, \
+    get_materials_for_generate_news
+from log.log_manager import log
+from task.manager_task import execute_task
+
+
+def generate_news_task():
+    with get_session() as db:
+        # 1. 构建今日新闻文章标题，格式：今日新闻yyyy-MM-dd
+        title = ("今日新闻" +
+                 time.strftime("%Y", time.localtime()) + '年' +
+                 time.strftime("%m", time.localtime()) + '月' +
+                 time.strftime("%d", time.localtime()) + '日')
+        # 2. 从内容分发数据表获取当前标题和分类的文章是否存在
+        content_dispatch = get_content_by_title_and_category(db, title, "新鲜事")
+        content = ""
+        if content_dispatch is not None:
+            content = content_dispatch.content
+            # 从最后一条获取并计算开始编号
+            result = re.findall(r'(?<!\.)\d+\. ', content)
+            start_num = int(re.findall(r'\d+', result[-1])[-1]) + 1
+        else:
+            content_dispatch = TContentDispatch(category="新鲜事", title=title, ai_generate=1)
+            start_num = 1
+        # 3. 从新闻素材数据表获取房产类的新闻列表
+        news_list = get_materials_for_generate_news(db)
+        # 4. 拼接成文章正文content
+        for i, news in enumerate(news_list, start=start_num):  # Using enumerate to control the index starting from 1
+            content += f"{i}. {news.ai_summary}\n"
+        # 5. 把content写入数据库
+        if content is not None and content != "" and news_list is not None:
+            content_dispatch.content = content
+            content_dispatch.is_sent = False
+            create_or_update_content(db, content_dispatch)
+        # 6. 把news_list更新入数据库更新字段is_usage为True
+        for news in news_list:
+            news.is_usage = True
+            update_material_by_id(db, news)
+        log(f"generate_news_task finish, news count {start_num + len(news_list)}")
+
+
+if __name__ == "__main__":
+    execute_task(generate_news_task)