mirror of
https://github.com/zhouxiaoka/autoclip.git
synced 2026-09-03 06:24:14 +08:00
96 lines
2.6 KiB
Python
96 lines
2.6 KiB
Python
#!/usr/bin/env python3
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"""
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调试步骤3的具体错误
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"""
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import sys
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import os
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from pathlib import Path
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# 添加项目根目录到Python路径
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project_root = Path(__file__).parent.parent
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backend_path = project_root / "backend"
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sys.path.insert(0, str(backend_path))
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def debug_step3():
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"""调试步骤3"""
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print("开始调试步骤3...")
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try:
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# 1. 测试导入
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print("1. 测试导入...")
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from pipeline.step3_scoring import ClipScorer
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print("✓ 导入成功")
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# 2. 测试初始化
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print("\n2. 测试初始化...")
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scorer = ClipScorer()
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print("✓ 初始化成功")
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# 3. 检查提示词
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print("\n3. 检查提示词...")
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if hasattr(scorer, 'recommendation_prompt'):
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print(f"✓ 提示词存在，长度: {len(scorer.recommendation_prompt)}")
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print(f" 前100字符: {scorer.recommendation_prompt[:100]}...")
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else:
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print("✗ 提示词不存在")
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return False
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# 4. 测试方法存在
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print("\n4. 测试方法存在...")
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if hasattr(scorer, 'score_clips'):
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print("✓ score_clips方法存在")
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else:
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print("✗ score_clips方法不存在")
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return False
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# 5. 测试配置
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print("\n5. 测试配置...")
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from pipeline.config import PROMPT_FILES
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if 'recommendation' in PROMPT_FILES:
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print(f"✓ recommendation键存在: {PROMPT_FILES['recommendation']}")
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if PROMPT_FILES['recommendation'].exists():
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print("✓ 文件存在")
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else:
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print("✗ 文件不存在")
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return False
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else:
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print("✗ recommendation键不存在")
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return False
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# 6. 测试LLM客户端
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print("\n6. 测试LLM客户端...")
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if hasattr(scorer, 'llm_client'):
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print("✓ LLM客户端存在")
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else:
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print("✗ LLM客户端不存在")
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return False
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print("\n✓ 所有测试通过！")
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return True
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except Exception as e:
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print(f"\n✗ 调试失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def main():
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"""主函数"""
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print("=" * 50)
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print("步骤3调试工具")
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print("=" * 50)
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success = debug_step3()
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print("\n" + "=" * 50)
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if success:
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print("✓ 步骤3调试完成，未发现问题")
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return 0
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else:
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print("✗ 步骤3调试发现问题")
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return 1
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if __name__ == "__main__":
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sys.exit(main())
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