40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
from pathlib import Path
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from typing import List
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from agno.document import Document
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from agno.utils.log import logger
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from dotenv import load_dotenv
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from agentic_rag import initialize_knowledge_base, get_reader
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# 加载.env文件
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load_dotenv()
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import os
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def main():
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print("Hello from agno-agentic-rag!")
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# 从.env加载知识库来源目录并初始化知识库
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load_knowledge = os.getenv("LOAD_KNOWLEDGE", "false").lower() == "true"
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knowledge_source_dir = os.getenv("KNOWLEDGE_SOURCE_DIR")
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if load_knowledge and knowledge_source_dir and os.path.exists(knowledge_source_dir):
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# 初始化知识库
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knowledge_base = initialize_knowledge_base()
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logger.info(f"加载知识库: {knowledge_source_dir}")
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for root, _, files in os.walk(knowledge_source_dir):
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for file in files:
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file_path = os.path.join(root, file)
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file_ext = os.path.splitext(file)[1][1:] # 获取文件扩展名
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reader = get_reader(file_ext)
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if reader:
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try:
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filePath = Path(file_path)
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docs: List[Document] = reader.read(filePath)
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knowledge_base.load_documents(docs, upsert=True)
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except Exception as e:
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logger.warning(f"无法加载文档 {file_path}: {str(e)}")
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if __name__ == "__main__":
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main()
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