47 lines
1.3 KiB
Python
Executable File
47 lines
1.3 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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File: vectorize_save_noun.py
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Date: 2025-05-15
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Description: 专业名词向量化和保存的示例程序
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"""
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import os
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import json
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from dotenv import load_dotenv
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from rag2_0.intent_recognition import ProfessionalNounVectorizer
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import logging
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# 加载环境变量
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load_dotenv()
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def main():
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"""
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主函数：创建索引并保存
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"""
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# 指定文件路径
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current_dir = os.path.dirname(os.path.abspath(__file__))
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output_dir = os.path.join(current_dir, "..", "..", "data", "nouns")
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# 创建向量化器并指定路径
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noun_vectorizer = ProfessionalNounVectorizer(
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output_dir=output_dir
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)
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file_paths = [
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os.path.join(current_dir, "..", "..", "data/nouns/merged_nouns.json"),
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]
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# 执行向量化和保存（一步完成）
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success = noun_vectorizer.vectorize_files_and_save(file_paths)
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if success:
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logging.info("✓ 索引创建和保存成功")
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logging.info(f" 索引保存路径: {os.path.join(output_dir, 'professional_nouns_index')}")
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else:
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logging.error("✗ 索引创建失败")
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if __name__ == "__main__":
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# 配置日志输出到控制台
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logging.basicConfig(
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level=logging.INFO,
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format='%(message)s'
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)
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main() |