46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
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import pandas as pd
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# 文件路径
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file3034 = r'/root/.openclaw/workspace-xiaoyan/business_knowledge/L2单词表/30-34.xlsx'
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fileL2 = r'/root/.openclaw/workspace-xiaoyan/business_knowledge/L2单词表/L2知识库-三级+A2.xlsx'
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# 读取文件
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df3034 = pd.read_excel(file3034)
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dfL2 = pd.read_excel(fileL2)
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print(f"30-34单词表: {len(df3034)} 个单词")
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print(f"L2知识库: {len(dfL2)} 个单词")
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# 创建L2单词查找集合
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l2_words = set(str(word).strip().lower() for word in dfL2.iloc[:, 0])
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# 检查每个单词（在列2"单词"中）
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missing_words = []
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for idx, row in df3034.iterrows():
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word = str(row['单词']).strip().lower()
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if word not in l2_words:
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missing_words.append(row['单词'])
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print("\n" + "="*60)
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if len(missing_words) == 0:
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print("✅ 所有30-34中的单词都在L2知识库中！")
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else:
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print(f"❌ 有 {len(missing_words)} 个单词不在L2知识库中：")
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for word in missing_words:
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print(f" - {word}")
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print("\n详细检查结果（前30个）：")
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for idx, row in df3034.head(30).iterrows():
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word = str(row['单词']).strip().lower()
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status = "✅" if word in l2_words else "❌"
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print(f"{idx+1:3d}. {str(row['单词']):30s} {status}")
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print("\n统计信息：")
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total = len(df3034)
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found = total - len(missing_words)
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print(f"总单词数: {total}")
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print(f"已在知识库: {found}")
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print(f"缺失单词: {len(missing_words)}")
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print(f"覆盖度: {found/total*100:.1f}%")
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