65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
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"""
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显示批量测试结果摘要
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"""
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import json
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# 读取测试结果
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with open('test_reports_full/test_report.json', 'r', encoding='utf-8') as f:
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data = json.load(f)
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summary = data['summary']
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results = data['results']
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print("=" * 80)
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print("批量测试结果摘要")
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print("=" * 80)
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print(f"\n总体统计:")
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print(f" 处理PDF数量: {summary['total_processed']}")
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print(f" 平均处理时间: {summary['avg_processing_time']:.1f}秒")
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print(f"\nCMA提取结果:")
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print(f" 精确匹配: {summary['cma']['exact']}")
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print(f" 部分匹配: {summary['cma']['partial']}")
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print(f" 可接受: {summary['cma']['acceptable']}")
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print(f" 未匹配: {summary['cma']['no_match']}")
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print(f" 准确率: {summary['cma']['accuracy']*100:.1f}%")
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print(f"\n机构提取结果:")
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print(f" 精确匹配: {summary['institution']['exact']}")
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print(f" 部分匹配: {summary['institution']['partial']}")
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print(f" 可接受: {summary['institution']['acceptable']}")
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print(f" 未匹配: {summary['institution']['no_match']}")
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print(f" 准确率: {summary['institution']['accuracy']*100:.1f}%")
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print(f"\n详细结果 (前10个):")
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print("-" * 80)
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for i, r in enumerate(results[:10], 1):
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pdf_name = r['pdf_name'][:40]
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cma = r['extracted'].get('cma', 'N/A')
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expected_cma = r['expected'].get('cma', 'N/A')
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inst = r['extracted'].get('institution', 'N/A')[:30]
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cma_match = r['comparison']['cma'].get('match_type', 'unknown')
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print(f"{i}. {pdf_name}")
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print(f" CMA: {cma} (期望: {expected_cma}) [{cma_match}]")
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print(f" 机构: {inst}...")
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# 显示失败的PDF
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print(f"\n失败的PDF:")
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print("-" * 80)
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failed = [r for r in results if r['comparison']['cma'].get('match_type') == 'no_match']
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if failed:
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for r in failed:
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pdf_name = r['pdf_name'][:40]
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expected_cma = r['expected'].get('cma', 'N/A')
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extracted_cma = r['extracted'].get('cma', 'N/A')
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print(f"- {pdf_name}")
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print(f" 期望: {expected_cma}, 提取: {extracted_cma}")
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else:
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print("无")
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print("\n" + "=" * 80)
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print("提示: 在浏览器中打开 test_reports_full/summary.html 查看详细的可视化报告")
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print("=" * 80)
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