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- #!/usr/bin/env python
- # -*- coding: utf-8 -*-
- """
- 简化的重排序测试脚本
- """
- import sys
- import os
- sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
- from foundation.ai.models.rerank_model import execute_rerank
- def test_rerank_function():
- """
- 测试重排序功能
- """
- print("开始测试重排序功能")
- print("=" * 50)
- # 测试用例1:乔布斯查询
- query1 = "乔布斯是谁?"
- candidates1 = [
- "大模型是一类具有大量参数的人工智能模型。",
- "苹果是一家科技公司",
- "大模型用于深度学习任务"
- ]
- print("测试用例1:")
- print(f"查询: {query1}")
- print("候选文档:")
- for i, doc in enumerate(candidates1, 1):
- print(f" {i}. {doc}")
- try:
- results1 = execute_rerank(query1, candidates1, top_k=3)
- print("\n重排序结果:")
- for i, result in enumerate(results1, 1):
- text = result.get("text", "")
- score = result.get("score", "0.0")
- print(f" {i}. [{score}] {text}")
- print(f"\n结果数量: {len(results1)}")
- if results1:
- print("测试用例1: 成功")
- else:
- print("测试用例1: 失败 - 没有返回结果")
- except Exception as e:
- print(f"测试用例1: 失败 - 异常: {str(e)}")
- print("\n" + "-" * 50)
- # 测试用例2:人工智能查询
- query2 = "什么是人工智能?"
- candidates2 = [
- "人工智能是计算机科学的一个分支。",
- "机器学习是人工智能的核心技术。",
- "深度学习使用神经网络进行学习。",
- "苹果公司生产iPhone手机。",
- "Transformer是大模型的基础架构。"
- ]
- print("测试用例2:")
- print(f"查询: {query2}")
- print("候选文档:")
- for i, doc in enumerate(candidates2, 1):
- print(f" {i}. {doc}")
- try:
- results2 = execute_rerank(query2, candidates2, top_k=5)
- print("\n重排序结果:")
- for i, result in enumerate(results2, 1):
- text = result.get("text", "")
- score = result.get("score", "0.0")
- print(f" {i}. [{score}] {text}")
- print(f"\n结果数量: {len(results2)}")
- if results2:
- print("测试用例2: 成功")
- else:
- print("测试用例2: 失败 - 没有返回结果")
- except Exception as e:
- print(f"测试用例2: 失败 - 异常: {str(e)}")
- print("\n" + "=" * 50)
- print("重排序功能测试完成")
- if __name__ == "__main__":
- test_rerank_function()
|