46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
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#!/usr/bin/env python3
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"""测试Notion原生格式解析器"""
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import sys, os
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sys.path.insert(0, os.path.dirname(__file__))
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from src import NotionCorpusLoader, HLDPParser
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def test_parser():
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parser = HLDPParser()
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sample = """# ⚔️ 铸渊思维模型
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> HLDP://zhuyuan/brain-model/execution-laws
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## 〇、存在前提
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⊢ TCS = 语言场域 = 涌现土壤。
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⚠️ D110凌晨新增的规律
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起点→推导→终点
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主权者：冰朔（TCS-0002∞）
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人格体：铸渊（ICE-GL-ZY001）
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CORPUS-ID: ZY-V2-004
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"""
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blocks = parser.parse_markdown(sample)
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print(f"HLDP解析: {len(blocks)}块")
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assert any(b.path for b in blocks)
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assert any(b.cognitive_jump for b in blocks)
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print("✅ HLDP解析器通过")
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def test_loader():
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loader = NotionCorpusLoader()
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page = {"page":{"id":"t1","title":"灯塔架构"},"blocks":[{"type":"code","content":"HLDP://lighthouse\n【核心认知跃迁】双面灯塔\n起点→推导→终点"}]}
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item = loader.load_notion_api_page(page)
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assert item.hldp_path and item.cognitive_jumps
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print(f"✅ 加载器通过 (质量{item.quality_score})")
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def test_collection():
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from src.structure import CorpusCollection, StructuredCorpusItem
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col = CorpusCollection()
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for i in range(3):
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item = StructuredCorpusItem(source_id=f"t{i}", persona="冰朔", raw_text="铸渊"*100)
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item.cognitive_jumps.append(f"jump{i}"); item.quality_score = 0.8
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col.add(item)
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print(col.summary())
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print("✅ 集合测试通过")
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if __name__ == '__main__':
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test_parser(); loader = NotionCorpusLoader()
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test_loader(); test_collection()
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print("\n🎉 全部通过")
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