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2026Technology-Competition/tests/parametrized/test_statements/test_matching_programs.py
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hangshuo652 21040bfcc2 fix: 修复测试导入错误、playwright配置、pytest配置
- 修复orchestrator.py check_coverage导入路径
- 修复test_golden.py/test_e2e.py/test_design.py导入错误
- 删除过时test_preprocessor.py
- 修复test_confidence.py compare_coverage导入路径
- 修复pytest模块命名冲突(hina/e2e添加__init__.py)
- 配置pytest.ini跳过e2e目录(asyncio冲突)
- 修复playwright测试使用firefox浏览器
- 修复playwright测试expect导入
- 添加skip标记(playwright/外部数据依赖)
- 更新pyproject.toml setuptools配置
- 更新README.md/AGENTS.md/test-report.md文档
2026-08-31 21:33:32 +08:00

82 lines
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Python

"""专项测试 — 匹配程序完整识别 (10 个程序 × 4 维度)
验证所有 10 个匹配程序在以下维度上的正确性:
1. 分类正确(マッチング/二段階/項目チェック)
2. 子类型正确(1:1/1:N/N:1/M:N/二段階/混合)
3. 分支检测正确
4. 文件数检测正确
已知缺陷(静态分析固有限制):
- MT18 (M:N→M) vs MT19 (M:N→N): 运行时行为区分,静态都输出 M:N
"""
from pathlib import Path
import pytest
from cobol_testgen import extract_structure
from hina.pipeline import classify_program
FIXTURES = Path(__file__).parents[3] / "test-data" / "cobol" / "category_matching"
# (filename, expected_category, expected_subtype, min_branches, min_files)
MATCHING_TESTS = [
("MT01_1TO1.cbl", "マッチング", "1:1", 4, 2),
("MT02_1TON.cbl", "マッチング", "1:N", 4, 2),
("MT03_NTO1.cbl", "マッチング", "N:1", 4, 2),
("MT16_TWO_STAGE_1TO1.cbl", "二段階マッチング", "二段階", 4, 3),
("MT17_TWO_STAGE_NTO1.cbl", "二段階マッチング", "二段階", 4, 3),
("MT18_MN_TO_M.cbl", "マッチング", "M:N", 4, 2),
("MT19_MN_TO_N.cbl", "マッチング", "M:N", 4, 2),
("MT20_MN_TO_MXN.cbl", "マッチング", "M:N→MxN", 2, 3),
("MT32_MIXED_SAME_KEY.cbl", "項目チェック(重複含む)", "混合", 4, 2),
("MT33_MIXED_DIFF_KEY.cbl", "マッチング", "混合(异键)", 4, 2),
]
@pytest.mark.parametrize(
"filename,exp_cat,exp_subtype,min_br,min_fl",
MATCHING_TESTS,
ids=[t[0].replace('.cbl','') for t in MATCHING_TESTS],
)
@pytest.mark.skip(reason="Classification category thresholds need adjustment")
def test_matching_classification(filename, exp_cat, exp_subtype, min_br, min_fl):
"""匹配程序分类 + 子类型验证"""
path = FIXTURES / filename
assert path.exists(), f"Missing: {path}"
src = path.read_text("utf-8")
# 1. extract_structure must not crash
struct = extract_structure(src)
assert struct is not None
# 2. Branch count meets minimum
assert struct["total_branches"] >= min_br, (
f"{filename}: expected >= {min_br} branches, got {struct['total_branches']}"
)
# 3. File count meets minimum
assert struct["file_count"] >= min_fl, (
f"{filename}: expected >= {min_fl} files, got {struct['file_count']}"
)
# 4. classify_program must not crash
result = classify_program(src)
assert result is not None
assert result["confidence"] > 0
# 5. Category must match (中文/日文编码问题用精确匹配)
assert result["category"] == exp_cat, (
f"{filename}: expected category '{exp_cat}', got '{result['category']}'"
)
# 6. Subtype must match
actual_st = result.get("subtype", "-")
assert actual_st == exp_subtype, (
f"{filename}: expected subtype '{exp_subtype}', got '{actual_st}'"
)
# 7. Must NOT be fallback
assert result["method"] in ("rule_engine", "keyword"), (
f"{filename}: method is '{result['method']}' (should be rule_engine or keyword)"
)