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import asyncio
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import logging
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from Util.DocxUtil import get_docx_content_by_pandoc
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from Util.LightRagUtil import initialize_pg_rag
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# 或者如果你想更详细地控制日志输出
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logger = logging.getLogger('lightrag')
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logger.setLevel(logging.INFO)
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handler = logging.StreamHandler()
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handler.setFormatter(logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
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logger.addHandler(handler)
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logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.INFO)
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# 使用PG库后，这个是没有用的,但目前的项目代码要求必传，就写一个吧。
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WORKING_DIR = f"./output"
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#### 下面两个要注意写清楚内容 ####
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# 1、工作空间【知识库名称】
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# 2、文档名称【不允许出现重复，因为后面需要以此为条件查询】
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tasks = [
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# { # 苏轼
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# "workspace": "SuShi", "docx_name": "苏轼.docx",
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# },
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# { # 化学
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# "workspace": "Chemistry", "docx_name": "Chemistry.docx",
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# },
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{ # 数学
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"workspace": "Math", "docx_name": "Math.docx",
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},
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# { # 史记
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# "workspace": "ShiJi", "docx_name": "少年读史记张嘉骅.docx",
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# },
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# { # 长春市一批次高中学校介绍
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# "workspace": "ChangChun", "docx_name": "长春市一批次高中学校介绍.docx",
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# },
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# { # 2024长春43所高中录取分数线
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# "workspace": "ChangChun", "docx_name": "2024长春43所高中录取分数线.docx",
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# },
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# { # 长春市2025年中考各批次录取最低控制线
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# "workspace": "ChangChun", "docx_name": "长春市2025年中考各批次录取最低控制线.docx",
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# }
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]
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for task in tasks:
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task["docx_path"] = "./static/Txt/" + task["docx_name"] # 3、文档路径 python是按引用传递的&
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async def main():
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for task in tasks:
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workspace = task["workspace"]
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docx_name = task["docx_name"]
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docx_path = task["docx_path"]
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logger.info(f"开始处理文档: {docx_name}" + ",共%s个文档,当前是第%s个。", len(tasks), tasks.index(task) + 1)
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try:
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rag = await initialize_pg_rag(WORKING_DIR=WORKING_DIR, workspace=workspace)
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# 获取docx文件的内容
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content = get_docx_content_by_pandoc(docx_path)
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await rag.ainsert(input=content, file_paths=[docx_name]) # 添加来源参数
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finally:
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if rag:
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await rag.finalize_storages()
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if __name__ == "__main__":
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asyncio.run(main())
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