feat: Phase 2 complete — 13 Phases of COBOL type classification and test benchmark
P0.6: gcov infrastructure P1: extract_structure output expansion (11 new feature fields) P2: Confusion group rule engine (8 pairs + contradiction + backtrack) P3: 4-factor confidence calculation + quality gate update P4: 33+2 COBOL program type test samples (22 files, 7 categories) P5: parametrized/ test data generation engine P6: japanese_data.py lookup tables P7-10: Type-specific test suites (~159 parametrized tests) P11: Full classification pipeline (classify_program) + orchestrator integration P12: Documentation (module-interfaces, test-plan v3.0, coverage-matrix) Architecture decisions: - classification_pipeline/ merged to hina/pipeline/ - parametrized/ as independent module - japanese_data.py as root-level file - hina/__all__ only exports classify_program() Co-Authored-By: Claude <noreply@anthropic.com>
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"""CF-01~07: Config + MappingConfig"""
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import sys, os, tempfile, json
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from pathlib import Path
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
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from config import Config
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def test_config_defaults():
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"""CF-01: 默认值"""
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c = Config()
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assert c.runner_mode == "native"
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assert hasattr(c, "llm_model")
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def test_config_from_toml(tmp_path):
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"""CF-02: from_toml 有效文件"""
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p = tmp_path / "aurak.toml"
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p.write_text('[runner]\nmode = "spark"\n[llm]\nmodel = "gpt-4"\n')
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c = Config.from_toml(str(p))
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assert c.runner_mode == "spark"
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assert c.llm_model == "gpt-4"
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def test_config_from_toml_not_found():
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"""CF-03: 文件不存在 → 默认值"""
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c = Config.from_toml("/nonexistent/aurak.toml")
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assert c.runner_mode == "native"
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def test_config_from_toml_invalid():
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"""CF-04: 非法 TOML → 返回默认"""
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with tempfile.TemporaryDirectory() as tmp:
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p = Path(tmp) / "bad.toml"
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p.write_text("= invalid toml [[[")
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c = Config.from_toml(str(p))
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assert c is not None
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