feat(three-stage-scan): compute complexity signals for hotspot ranking

This commit is contained in:
Marius Ciepluch
2026-09-03 20:05:13 +02:00
parent c5a80c2817
commit 3d643040bd
4 changed files with 409 additions and 1 deletions
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@@ -32,7 +32,7 @@ This plan ships the three-stage scan without rebuilding CWE policy or the regex
## Phase 2 — Core: Map, hunter tools, sandbox (parallel after foundation) ## Phase 2 — Core: Map, hunter tools, sandbox (parallel after foundation)
- [ ] 2. Build the heuristic complexity map and test-tuning hints - [ ] 2. Build the heuristic complexity map and test-tuning hints
- [ ] 2.1 (P) Compute per-file and per-function complexity signals - [x] 2.1 (P) Compute per-file and per-function complexity signals
- Signals include size, nesting, surface tags, reachability, inventory-hit density as a feature not the score, and whether an adjacent test appears to exist. - Signals include size, nesting, surface tags, reachability, inventory-hit density as a feature not the score, and whether an adjacent test appears to exist.
- Function identity uses entry-point names when present and otherwise remains empty. - Function identity uses entry-point names when present and otherwise remains empty.
- Observable completion: a parser file with no pattern hit scores higher than a one-line helper that matches a pattern, proven by a unit test on a constructed target list. - Observable completion: a parser file with no pattern hit scores higher than a one-line helper that matches a pattern, proven by a unit test on a constructed target list.
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"""Heuristic complexity signals for the stage-2 map."""
from .signals import ComplexitySignals, collect_signals
__all__ = ["ComplexitySignals", "collect_signals"]
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from __future__ import annotations
import math
from collections.abc import Iterable, Mapping, Sequence
from dataclasses import dataclass
from pathlib import Path, PurePosixPath
from ..findings import StaticFinding
from ..preprocess import FileTarget
# Inventory density is a recorded feature and a capped rationale term, not the rank driver.
_LOC_COEFF = 0.85
_NESTING_COEFF = 0.2
_REACHABILITY_COEFF = 0.55
_TEST_GAP_COEFF = 0.35
_INVENTORY_COEFF = 0.12
_TAG_WEIGHTS: dict[str, float] = {
"parser": 4.0,
"deserialization": 3.5,
"network_entry": 1.75,
"auth_boundary": 1.5,
"fuzzable": 1.5,
"memory_unsafe": 1.25,
"crypto": 1.25,
"syscall_entry": 1.25,
"filesystem_entry": 1.0,
}
_TEST_ROOT_PARTS = frozenset({"tests", "test", "__tests__", "spec"})
@dataclass(frozen=True)
class ComplexitySignals:
path: str
function_name: str | None
loc: int
nesting: int
tags: tuple[str, ...]
reachability: int
inventory_hit_count: int
has_adjacent_test: bool
score: float
def collect_signals(
targets: Sequence[FileTarget],
findings: Sequence[StaticFinding] = (),
repo_files: Iterable[str] = (),
sources: Mapping[str, str] | None = None,
) -> tuple[ComplexitySignals, ...]:
inventory = _inventory_counts(findings)
repo_paths = {str(path).replace("\\", "/") for path in repo_files}
collected: list[ComplexitySignals] = []
for target in targets:
text = _source_text(target, sources)
nesting = measure_nesting(text)
hit_count = inventory.get(target.path, 0)
adjacent = _has_adjacent_test(target.path, repo_paths)
tags = tuple(target.tags)
names = _function_names(target.reachability_hints)
identities: tuple[str | None, ...] = names or (None,)
for function_name in identities:
reachability = _reachability(target.reachability_hints, function_name)
collected.append(
ComplexitySignals(
path=target.path,
function_name=function_name,
loc=target.loc,
nesting=nesting,
tags=tags,
reachability=reachability,
inventory_hit_count=hit_count,
has_adjacent_test=adjacent,
score=_score(
loc=target.loc,
nesting=nesting,
tags=tags,
reachability=reachability,
inventory_hit_count=hit_count,
has_adjacent_test=adjacent,
),
)
)
return tuple(sorted(collected, key=lambda item: (-item.score, item.path, item.function_name or "")))
def measure_nesting(text: str) -> int:
if not text:
return 0
max_indent = 0
max_braces = 0
braces = 0
for raw in text.splitlines():
if not raw.strip():
continue
expanded = raw.expandtabs(4)
indent = len(expanded) - len(expanded.lstrip(" "))
max_indent = max(max_indent, indent // 4)
for char in raw:
if char == "{":
braces += 1
max_braces = max(max_braces, braces)
elif char == "}":
braces = max(0, braces - 1)
return max(max_indent, max_braces)
def _score(
*,
loc: int,
nesting: int,
tags: Sequence[str],
reachability: int,
inventory_hit_count: int,
has_adjacent_test: bool,
) -> float:
loc_term = math.log1p(max(loc, 0)) * _LOC_COEFF
nest_term = min(max(nesting, 0), 16) * _NESTING_COEFF
tag_term = sum(_TAG_WEIGHTS.get(tag, 0.0) for tag in dict.fromkeys(tags))
reach_term = max(reachability, 0) * _REACHABILITY_COEFF
gap_term = 0.0 if has_adjacent_test else _TEST_GAP_COEFF
density = inventory_hit_count / max(loc, 1)
inventory_term = min(max(density, 0.0), 1.0) * _INVENTORY_COEFF
return round(loc_term + nest_term + tag_term + reach_term + gap_term + inventory_term, 4)
def _source_text(target: FileTarget, sources: Mapping[str, str] | None) -> str:
if sources:
if target.path in sources:
return sources[target.path]
if target.absolute_path in sources:
return sources[target.absolute_path]
path = Path(target.absolute_path)
if not path.is_file():
return ""
try:
return path.read_text(errors="ignore")
except OSError:
return ""
def _inventory_counts(findings: Sequence[StaticFinding]) -> dict[str, int]:
counts: dict[str, int] = {}
for finding in findings:
counts[finding.path] = counts.get(finding.path, 0) + 1
return counts
def _function_names(hints: Sequence[Mapping[str, object]]) -> tuple[str, ...]:
names: list[str] = []
seen: set[str] = set()
for hint in hints:
name = _hint_function_name(hint)
if name is not None and name not in seen:
names.append(name)
seen.add(name)
return tuple(names)
def _hint_function_name(hint: Mapping[str, object]) -> str | None:
if "function_name" in hint:
value = hint.get("function_name")
return value if isinstance(value, str) and value else None
value = hint.get("name")
return value if isinstance(value, str) and value else None
def _reachability(hints: Sequence[Mapping[str, object]], function_name: str | None) -> int:
selected: Sequence[Mapping[str, object]] = hints
if function_name is not None:
matching = [hint for hint in hints if _hint_function_name(hint) == function_name]
if matching:
selected = matching
if not selected:
return 0
score = 2
for hint in selected:
access_level = hint.get("access_level")
kind = hint.get("kind")
if access_level == "public":
score = max(score, 5 if kind in {"route", "parser", "fuzz"} else 4)
elif access_level in {"authenticated", "contract-only/callback"}:
score = max(score, 4)
elif access_level == "role-restricted":
score = max(score, 3)
else:
score = max(score, 2)
return score
def _has_adjacent_test(path: str, repo_files: set[str]) -> bool:
source = PurePosixPath(path)
source_stem = source.stem.lower()
source_parent = _parent(source)
for candidate in repo_files:
name = PurePosixPath(candidate).name
if not _is_test_filename(name):
continue
if _tested_stem(name).lower() != source_stem:
continue
parent = _parent(PurePosixPath(candidate))
if parent == source_parent or _under_common_test_root(candidate):
return True
return False
def _parent(path: PurePosixPath) -> str:
parent = path.parent.as_posix()
return "" if parent == "." else parent
def _is_test_filename(name: str) -> bool:
if name.startswith("test_") or name.endswith("Test.java"):
return True
return PurePosixPath(name).stem.endswith("_test")
def _tested_stem(filename: str) -> str:
if filename.endswith("Test.java"):
return filename[: -len("Test.java")]
stem = PurePosixPath(filename).stem
if stem.startswith("test_"):
return stem[len("test_") :]
if stem.endswith("_test"):
return stem[: -len("_test")]
return stem
def _under_common_test_root(path: str) -> bool:
parts = PurePosixPath(path).parts
if len(parts) >= 2 and parts[0] == "src" and parts[1] == "test":
return True
return any(part in _TEST_ROOT_PARTS for part in parts[:-1])
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from pathlib import Path
from openultrasast.complexity import ComplexitySignals, collect_signals
from openultrasast.findings import StaticFinding
from openultrasast.preprocess import FileTarget
def _target(
path: str,
*,
loc: int,
tags: list[str] | None = None,
language: str = "python",
hints: list[dict[str, object]] | None = None,
has_fuzz_entry_point: bool = False,
absolute_path: str | None = None,
) -> FileTarget:
return FileTarget(
path=path,
absolute_path=absolute_path or f"/repo/{path}",
language=language,
loc=loc,
tags=list(tags or []),
has_fuzz_entry_point=has_fuzz_entry_point,
reachability_hints=list(hints or []),
)
def _hit(path: str, finding_id: str = "rule:helper:1") -> StaticFinding:
return StaticFinding(
finding_id=finding_id,
path=path,
title="pattern hit",
severity="low",
confidence="medium",
evidence_level="static_corroboration",
rationale="inventory",
line=1,
function_name=None,
reachability_status="unknown",
reachability_evidence=[],
reachability_conditions=[],
tags=[],
ranking_priority=1.0,
)
def _by_path(signals: tuple[ComplexitySignals, ...]) -> dict[str, ComplexitySignals]:
return {signal.path: signal for signal in signals}
def test_parser_without_pattern_hit_outranks_one_line_helper_with_hit() -> None:
parser = _target(
"src/parser.c",
loc=400,
language="c",
tags=["parser", "memory_unsafe"],
hints=[{"kind": "parser", "access_level": "public", "function_name": "parse_header"}],
)
helper = _target("src/helper.py", loc=1, tags=[])
findings = [_hit("src/helper.py")]
signals = collect_signals([parser, helper], findings)
by_path = _by_path(signals)
assert by_path["src/parser.c"].inventory_hit_count == 0
assert by_path["src/helper.py"].inventory_hit_count == 1
assert by_path["src/parser.c"].score > by_path["src/helper.py"].score
assert signals[0].path == "src/parser.c"
def test_function_identity_uses_entry_point_names_or_stays_empty() -> None:
named = _target(
"src/parser.c",
loc=40,
language="c",
tags=["parser"],
hints=[{"function_name": "parse_header", "kind": "parser", "access_level": "public"}],
)
named_alias = _target(
"src/decode.c",
loc=20,
language="c",
tags=["parser"],
hints=[{"name": "decode_frame", "kind": "parser", "access_level": "public"}],
)
tag_only = _target(
"src/App.java",
loc=80,
language="java",
tags=["parser"],
hints=[{"function_name": None, "name": "parser_input", "kind": "parser", "line": None}],
)
bare = _target("src/util.py", loc=4, tags=[])
signals = collect_signals([named, named_alias, tag_only, bare])
by_path = _by_path(signals)
assert by_path["src/parser.c"].function_name == "parse_header"
assert by_path["src/decode.c"].function_name == "decode_frame"
assert by_path["src/App.java"].function_name is None
assert by_path["src/util.py"].function_name is None
def test_nesting_from_source_text_otherwise_zero() -> None:
nested = _target("src/nested.py", loc=4, tags=[])
constructed = _target("src/flat.py", loc=12, tags=["parser"])
source = "def outer():\n if True:\n while True:\n return 1\n"
with_text = collect_signals([nested], sources={"src/nested.py": source})
without_text = collect_signals([constructed])
assert with_text[0].nesting >= 3
assert without_text[0].nesting == 0
assert without_text[0].loc == 12
def test_nesting_reads_absolute_path_when_file_exists(tmp_path: Path) -> None:
path = tmp_path / "braces.c"
path.write_text("int f(void) {\n if (1) {\n while (1) {\n return 0;\n }\n }\n}\n")
target = _target("braces.c", loc=7, language="c", tags=[], absolute_path=str(path))
assert collect_signals([target])[0].nesting >= 3
def test_adjacent_test_from_repo_relative_paths() -> None:
parser = _target("src/parser.c", loc=40, language="c", tags=["parser"])
helper = _target("pkg/helper.go", loc=8, language="go", tags=[])
widget = _target("src/main/java/com/acme/Widget.java", loc=30, language="java", tags=[])
lonely = _target("src/lonely.py", loc=5, tags=[])
signals = collect_signals(
[parser, helper, widget, lonely],
repo_files=(
"src/parser.c",
"tests/test_parser.c",
"pkg/helper.go",
"pkg/helper_test.go",
"src/main/java/com/acme/Widget.java",
"src/test/java/com/acme/WidgetTest.java",
"src/lonely.py",
"tests/test_other.py",
),
)
by_path = _by_path(signals)
assert by_path["src/parser.c"].has_adjacent_test is True
assert by_path["pkg/helper.go"].has_adjacent_test is True
assert by_path["src/main/java/com/acme/Widget.java"].has_adjacent_test is True
assert by_path["src/lonely.py"].has_adjacent_test is False
def test_inventory_density_is_recorded_but_cannot_dominate_score() -> None:
parser = _target(
"src/parser.c",
loc=250,
language="c",
tags=["parser"],
hints=[{"kind": "parser", "access_level": "public", "function_name": "parse_header"}],
)
helper = _target("src/helper.py", loc=1, tags=[])
findings = [_hit("src/helper.py", f"rule:helper:{index}") for index in range(12)]
signals = collect_signals([parser, helper], findings)
by_path = _by_path(signals)
assert by_path["src/helper.py"].inventory_hit_count == 12
assert by_path["src/parser.c"].inventory_hit_count == 0
assert by_path["src/parser.c"].score > by_path["src/helper.py"].score
assert "parser" in by_path["src/parser.c"].tags
assert by_path["src/parser.c"].reachability > by_path["src/helper.py"].reachability