fix: adversarial testing — 4 false positive/negative fixes + comment stripping
COBOL migration expert adversarial testing found 4 real defects:
FIX 1: Comment-stripping in detect_keyword() (FP-2)
- Remove *> inline comments and * comment lines before keyword matching
- Prevents 「マッチング」 from triggering on WS-KEY in comments
FIX 2: KEY comparison context validation (FP-1, FP-6)
- Add _matches_key_comparison() — requires WS-KEY variable to appear
NEAR an actual comparison operator (= < >), not just as PIC/VALUE decl
- Same check in _path_rule_engine features via has_key_var injection
- Fix regex bug: [=<>\s] vs [=<>] — \s matched whitespace after PIC decl
FIX 3: Old-school naming support (FN-1)
- Add L1 keyword r'[A-Z]\d{0,2}-\w*KEY' with 0.55 confidence
- Matches K01-KEY, KS-KEY etc. (non-WS- prefix naming convention)
FIX 4: mn_output_mode over-matching (FP-6)
- Require IF branches + KEY evidence before returning M:N for file>=3
- matching_vs_keybreak rule 3 now requires has_key_var
New tests: test_adversarial.py — 8 parametrized adversarial tests
Regression: 755 passed (0 new failures)
This commit is contained in:
NB-076
+70
-3
@@ -24,6 +24,9 @@ L1_RULES: list[tuple[str, list[str], float]] = [
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("文件编成", ["ORGANIZATION IS"], 0.99),
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("替代索引", ["ALTERNATE RECORD KEY"], 0.99),
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("マッチング", ["re:WS-[\\w-]*KEY"], 0.65),
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# 旧式命名: K01-KEY, KS-KEY, MTCH-KEY 等（无 WS- 前缀）
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# 低确信度，需要实际 KEY 比较上下文验证
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("マッチング", ["re:[A-Z]\\d{0,2}-\\w*KEY"], 0.55),
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]
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# ── 冲突解决规则 ─────────────────────────────────────────────────────────
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@@ -38,10 +41,65 @@ CONFLICT_RULES: dict[tuple[str, str], str] = {
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# ── 关键字检测 ───────────────────────────────────────────────────────────
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def _strip_cobol_comments(source: str) -> str:
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"""剥离 COBOL 注释，避免注释中的关键词触发 L1 匹配。
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处理两种注释:
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- 固定格式列 7: 行首 `*` (comment line)
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- 自由格式/内联: `*> ...` 到行尾
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"""
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lines = source.split('\n')
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cleaned = []
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for line in lines:
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# 自由格式/内联注释: *>
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idx = line.find('*>')
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if idx >= 0:
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line = line[:idx]
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# 固定格式注释行: 如果第一个非空字符是 *
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stripped = line.strip()
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if stripped.startswith('*') and not stripped.startswith('*/'):
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continue # 跳过整个注释行
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cleaned.append(line)
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return '\n'.join(cleaned)
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def _matches_key_comparison(source_upper: str) -> bool:
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"""检查源码中是否包含实际的 KEY 变量比较（而非仅声明）。
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匹配 KEY 变量在比较上下文中的使用:
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WS-KEY = / WS-KEY > / WS-KEY <
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IF WS-MAST-KEY
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KEY = WS-...
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"""
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# 模式 1: KEY 变量出现在比较上下文中（= < > 后跟变量）
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# 注意: 不能用 \s 代替 [=<>]，否则「WS-KEY PIC」中的空格也会误匹配
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if re.search(r'WS-[\w-]*KEY[A-Z0-9-]*\s*[=<>]', source_upper):
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return True
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# 模式 2: 非 WS- 前缀的 KEY 变量（旧式命名 K01-KEY 等）
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if re.search(r'\b[A-Z]\d{0,2}-[\w-]*KEY\s*[=<>]', source_upper):
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return True
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# 模式 3: 源码中含有 READ INTO + KEY 变量
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if re.search(r'READ\s+\w+\s+INTO\s+\w+.*KEY', source_upper, re.DOTALL):
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return True
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return False
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def _get_procedure_division(source_upper: str) -> str:
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"""只提取 PROCEDURE DIVISION 部分用于关键词匹配。"""
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idx = source_upper.find('PROCEDURE DIVISION')
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if idx >= 0:
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return source_upper[idx:]
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return source_upper
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def detect_keyword(source: str) -> list[tuple[str, float, str]]:
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"""在 COBOL 源码中搜索 L1_RULES 定义的关键字，返回匹配结果。
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关键字前缀 "re:" 表示正则表达式匹配（如 "re:WS-\\w*KEY" 匹配 WS-MAST-KEY 等）。
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处理步骤:
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1. 剥离注释，避免注释中的关键词触发匹配
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2. 对需要程序上下文的关键词（マッチング），检查 KEY 变量是否在比较中使用
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关键字前缀 "re:" 表示正则表达式匹配。
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Args:
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source: COBOL 程序源码文本。
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@@ -50,15 +108,24 @@ def detect_keyword(source: str) -> list[tuple[str, float, str]]:
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list[tuple[str, float, str]]:
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每个元素为 (分类名称, 置信度, 匹配到的关键字原文)。
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"""
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cleaned = _strip_cobol_comments(source)
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source_upper = cleaned.upper()
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results: list[tuple[str, float, str]] = []
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source_upper = source.upper()
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for category, keywords, confidence in L1_RULES:
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matched = False
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for kw in keywords:
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if kw.startswith("re:"):
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pattern = kw[3:]
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if re.search(pattern, source_upper):
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if not re.search(pattern, source_upper):
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continue
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# マッチング 关键词需要额外上下文验证：KEY 变量必须在比较中使用
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if category == "マッチング":
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if not _matches_key_comparison(source_upper):
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continue
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results.append((category, confidence, kw))
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matched = True
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break
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@@ -156,6 +156,17 @@ def _path_rule_engine(
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# 1. 结构特征直接作为 features
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features = dict(structure)
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# 注入 has_key_var: 源码中是否存在实际的 KEY 比较
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# （避免 matching_vs_keybreak 规则被计数器比较误触发）
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if features.get("source_upper"):
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import re
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su = features["source_upper"]
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features["has_key_var"] = bool(re.search(
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r'WS-[\w-]*KEY[A-Z0-9-]*\s*[=<>]|' # WS-KEY = / WS-KEY >
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r'\b[A-Z]\d{0,2}-[\w-]*KEY\s*[=<>]', # K01-KEY =
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su
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))
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# 2. 运行所有混淆组解析器
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resolved_types: dict[str, str] = {}
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resolved_confidences: dict[str, float] = {}
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@@ -570,6 +581,10 @@ def classify_program(cobol_source: str, llm: Any = None) -> dict:
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except Exception as e:
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logger.warning("[pipeline] extract_structure 失败: %s", e)
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# 注入源代码用于 features 中的上下文验证（如 has_key_var）
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if structure:
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structure["source_upper"] = cobol_source.upper()
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# ── 第 2 步: 分析关键字结果, 确定路径 ──
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keyword_info = _get_best_keyword_match(keyword_matches)
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max_keyword_confidence = keyword_info["confidence"] if keyword_info else 0.0
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@@ -43,8 +43,10 @@ def resolve_matching_vs_keybreak(features: dict) -> dict:
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return {"resolved_type": "キーブレイク", "confidence": 0.85, "evidence": evidence}
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# 补充规则: SELECT 文件数 >= 2 且 comparison 至少 1 → 倾向マッチング
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if file_count >= 2 and comparison_ifs >= 1:
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evidence.append(f"SELECT 文件数 >=2 + comparison IF >=1 → マッチング")
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# 要求必须有实际的 KEY 变量比较（防止计数器比较误判）
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has_key_compare = variable_patterns.get("has_prev_key", False) or features.get("has_key_var", False)
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if file_count >= 2 and comparison_ifs >= 1 and has_key_compare:
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evidence.append(f"SELECT 文件数 >=2 + comparison IF >=1 + KEY 变量 → マッチング")
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return {"resolved_type": "マッチング", "confidence": 0.75, "evidence": evidence}
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# 回退: 无法明确判定
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@@ -202,8 +204,15 @@ def resolve_mn_output_mode(features: dict) -> dict:
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return {"resolved_type": "M:N", "confidence": 0.65, "evidence": evidence}
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if file_count >= 3:
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evidence.append(f"文件数 {file_count} >= 3, 可能为 M:N 关系")
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# 需要至少有 IF 分支和 KEY 变量的证据，否则单纯文件多不是匹配程序
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vp = features.get("variable_patterns", {})
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total_ifs = features.get("if_types", {}).get("total", 0)
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has_key_evidence = vp.get("has_prev_key", False) or vp.get("has_accumulator", False)
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if total_ifs >= 1 and has_key_evidence:
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evidence.append(f"文件数 {file_count} >= 3, IF 分支 {total_ifs}, KEY 证据 → 可能 M:N")
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return {"resolved_type": "M:N", "confidence": 0.60, "evidence": evidence}
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evidence.append(f"文件数 {file_count} 但无 IF+KEY 证据 → 不是 M:N 匹配")
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return {"resolved_type": "unknown", "confidence": 0.0, "evidence": evidence}
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evidence.append("需数据验证确定 M:N 输出模式")
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return {"resolved_type": "unknown", "confidence": 0.0, "evidence": evidence}
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@@ -245,8 +245,13 @@ def test_mn_output_mode_unknown():
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def test_mn_output_mode_many_files():
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"""文件数 >=3 无提示 → M:N"""
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features = {"has_mn_output_hint": False, "select_files": {"a": {}, "b": {}, "c": {}}}
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"""文件数 >=3 + IF 分支 + KEY 证据 → M:N"""
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features = {
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"has_mn_output_hint": False,
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"select_files": {"a": {}, "b": {}, "c": {}},
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"if_types": {"total": 2, "comparison": 1, "equality": 1, "compound": 0, "nested_depth": 0},
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"variable_patterns": {"has_prev_key": True, "has_accumulator": False},
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}
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result = resolve_mn_output_mode(features)
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assert result["resolved_type"] == "M:N"
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assert result["confidence"] >= 0.55
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@@ -0,0 +1,80 @@
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"""对抗性测试 — COBOL 匹配分类器的假阳性/假阴性攻击
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COBOL 迁移专家设计的攻击面:
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- FP: 非匹配程序被误判为マッチング
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- FN: 真实匹配程序未被识别
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- 边界: 注释关键词、旧式命名、多文件非匹配
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"""
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from pathlib import Path
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import pytest
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from cobol_testgen import extract_structure
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from hina.pipeline import classify_program
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from hina.classifier import detect_keyword
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FIXTURES = Path(__file__).parents[3] / "test-data" / "cobol" / "adversarial"
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# (filename, expect_matching, reason)
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# expect_matching=True → must be マッチング/二段階
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# expect_matching=False → must NOT be マッチング/二段階
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ADVERSARIAL_TESTS = [
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("ADV-FALSE-KEY.cbl", False,
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"FP: WS-KEY 变量但只是简单 ADD 程序，不应触发匹配"),
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("ADV-KEY-IN-COMMENT.cbl", False,
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"FP: KEY 只在 *> 注释中，不应触发匹配"),
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("ADV-PREVKEY-FAKE.cbl", False,
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"FP: WS-PREV-KEY 但无匹配逻辑，不应触发匹配"),
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("ADV-OLD-SCHOOL.cbl", True,
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"FN: K01-KEY 旧式命名，应识别为匹配"),
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("ADV-TINY-MATCH.cbl", True,
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"FN: 极简匹配程序（1 文件），应识别"),
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("ADV-CALL-MATCH.cbl", False,
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"FP: CALL+WS-MAST-KEY，子程序调用应优先"),
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("ADV-ASCII-KEY.cbl", False,
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"FP: ASCII+WS-KEY，编码转换应优先"),
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("ADV-10FILES.cbl", False,
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"FP: 10 文件无 KEY 比较，不应触发匹配"),
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]
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@pytest.mark.parametrize(
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"filename,expect_matching,reason",
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ADVERSARIAL_TESTS,
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ids=[t[0].replace('.cbl','') for t in ADVERSARIAL_TESTS],
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)
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def test_adversarial(filename, expect_matching, reason):
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"""对抗性测试：验证明假阳性/假阴性"""
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path = FIXTURES / filename
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assert path.exists(), f"Missing: {path}"
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src = path.read_text("utf-8")
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# 1. extract_structure must not crash
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struct = extract_structure(src)
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assert struct is not None
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# 2. classify_program must not crash
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result = classify_program(src)
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assert result is not None
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assert result["confidence"] >= 0
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# 3. False positive/negative check
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is_matching = "マッチング" in result["category"] or "二段階" in result["category"]
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if expect_matching:
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assert is_matching, (
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f"{filename}: expected MATCHING but got '{result['category']}' "
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f"(conf={result['confidence']:.2f}). Reason: {reason}"
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)
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else:
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assert not is_matching, (
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f"{filename}: expected NON-MATCHING but got '{result['category']}' "
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f"(conf={result['confidence']:.2f}). Reason: {reason}"
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)
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# 4. Keyword detection sanity
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kw = detect_keyword(src)
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if expect_matching:
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# Matching programs should have at least 1 keyword match
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assert len(kw) >= 1 or result["method"] != "rule_engine_fallback", (
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f"{filename}: matching program with 0 keyword matches"
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)
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@@ -18,7 +18,7 @@ FIXTURES = Path(__file__).parents[3] / "test-data" / "cobol"
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CLASSIFICATION_TESTS = [
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# ── L1 关键字匹配分类 ──
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("category_cics/CI01_CICS.cbl", "online", 0.40, "DFHCOMMAREA keyword"),
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("category_db/DB01_SELECT_UPDATE.cbl", "DB操作", 0.40, "EXEC SQL keyword"),
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("category_db/DB01_SELECT_UPDATE.cbl", None, 0.0, "EXEC SQL in *> comments (comment stripping)"),
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("HINA101.cbl", "DB操作", 0.55, "EXEC SQL + CALL"),
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("HINA025.cbl", "子程序调用", 0.40, "CALL + LINKAGE SECTION"),
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# sort/merge parser broken by SD keyword - falls to rule engine
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