48 lines
2.3 KiB
Python
48 lines
2.3 KiB
Python
import re
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import time
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from database.database import get_session
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from database.tcontentdispatch.curd import get_content_by_title_and_category, create_or_update_content
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from database.tcontentdispatch.model import TContentDispatch
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from database.tmaterial.crud import update_material_by_id, \
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get_materials_for_generate_real_estate_reference_message
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from task.manager_task import execute_task
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def generate_real_estate_reference_message_task():
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with get_session() as db:
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# 1. 构建楼市参考消息文章标题，格式：楼市参考消息yyyy-MM-dd
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title = ("楼市参考消息" +
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time.strftime("%Y", time.localtime()) + '年' +
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time.strftime("%m", time.localtime()) + '月' +
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time.strftime("%d", time.localtime()) + '日')
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# 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
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content_dispatch = get_content_by_title_and_category(db, title, "房地产")
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content = ""
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if content_dispatch is not None:
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content = content_dispatch.content
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# 从最后一条获取并计算开始编号
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result = re.findall(r'(?<!\.)\d+\. ', content)
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start_num = int(re.findall(r'\d+', result[-1])[-1]) + 1
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else:
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content_dispatch = TContentDispatch(category="房地产", title=title, ai_generate=1)
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start_num = 1
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# 3. 从新闻素材数据表获取房产类的新闻列表
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news_list = get_materials_for_generate_real_estate_reference_message(db)
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# 4. 拼接成文章正文content
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for i, news in enumerate(news_list, start=start_num): # Using enumerate to control the index starting from 1
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content += f"{i}. {news.ai_summary}\n"
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# 5. 把content写入数据库
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if content is not None and news_list is not None:
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content_dispatch.content = content
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content_dispatch.is_sent = False
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create_or_update_content(db, content_dispatch)
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# 6. 把news_list更新入数据库更新字段is_usage为True
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for news in news_list:
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news.is_usage = True
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update_material_by_id(db, news)
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if __name__ == "__main__":
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execute_task(generate_real_estate_reference_message_task)
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