jerryandClaude Fable 5
2f82c4a8dc
- 按生产 7900 容器黄金清单迁移(compile.manifest 449 条目,0 缺失) - 入口双态:api.app(生产同源 3 路由)/ api.main(裁剪 11 路由族 91 路径) - 修复:advanced/__init__ 空文件(包标记误覆盖,已从主项目恢复) - 修复:api/rag_routes.py 跨环境 site-packages 注入改 LEGACY_GF_SITE_PACKAGES 门控 - 修复:scripts/utils 缺失(动态加载 reasoning_engine) - 影子验证:kg/stats 数据连通(6.2s,与 7900 同源 normalized 后端) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
59 lines
1.5 KiB
Python
Executable File
59 lines
1.5 KiB
Python
Executable File
#!/usr/bin/env python3
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"""生成验证报告"""
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import json
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from pathlib import Path
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results_dir = Path("./evaluation/auto_results")
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# 读取两篇文献的结果
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papers = [
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"短柄AP2s12864-016-2968-8_phylogeny_v2.json",
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"番茄p450基因家族BMCgenomics2020_phylogeny_v2.json"
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]
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print("=" * 80)
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print("基因家族系统发育提取验证报告")
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print("=" * 80)
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print()
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for paper_file in papers:
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path = results_dir / paper_file
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if not path.exists():
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print(f"❌ 未找到: {paper_file}")
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continue
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with open(path, 'r') as f:
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data = json.load(f)
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print(f"📄 {data.get('pdf_name', paper_file)}")
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print("-" * 80)
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print(f" 基因家族: {data.get('gene_family', 'N/A')}")
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print(f" 物种: {data.get('species', 'N/A')}")
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print(f" 总基因数: {data.get('total_genes', 0)}")
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print(f" 总组数: {data.get('total_groups', 0)}")
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print(f" 分类类型: {data.get('classification_type', 'N/A')}")
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print(f" 置信度: {data.get('confidence', 'low')}")
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print()
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if data.get('groups'):
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print(" 分组详情:")
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for group_name, genes in sorted(data['groups'].items()):
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print(f" • {group_name}: {len(genes)} 个基因")
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else:
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print(" ⚠️ 未提取到分组信息")
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if data.get('notes'):
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print()
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print(" 备注:")
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for note in data['notes']:
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print(f" ℹ {note}")
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print()
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print()
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print("=" * 80)
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print("分析总结")
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print("=" * 80)
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print()
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