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Open_Ultra_SAST/src/openultrasast/model/report.py
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"""Reporting that cannot flatter itself (model-grounded-detection, Req 9.3, 11.1).
Three disciplines survive from the deleted publish/scoring layer, and each is here because its absence caused
a real error in this project's history rather than because it is tidy:
* **Per-slice rows, always.** A headline over mixed slices once hid that agent-written code scored 44.4%
while the hand-written development slice scored 83.3%. `render` refuses to produce anything without rows.
* **The overfitting gap beside the headline.** The distance between the development slice and the deciding
real-world one is stated, never left for the reader to compute. When a slice is missing the gap is
*absent*, not zero — reading a missing measurement as "no overfitting" is the flattering failure.
* **The rung on every finding.** A finding's strength is what established it; omitting the rung invites a
reader to treat a suspicion as a result.
"""
from __future__ import annotations
from collections.abc import Sequence
from dataclasses import dataclass
from ..findings import StaticFinding
@dataclass(frozen=True)
class SliceRow:
"""One slice's coverage. `covered` is pairs the model *split*, not pairs it flagged."""
slice: str
pairs: int
covered: int
@property
def rate(self) -> float:
return self.covered / self.pairs if self.pairs else 0.0
def overfitting_gap(rows: Sequence[SliceRow], *, development: str = "", deciding: str = "") -> float | None:
"""Development-slice coverage minus the deciding slice's, or ``None`` when either is absent.
``None`` rather than ``0.0`` on purpose: a slice that was never measured must not read as agreement
between them.
"""
by_name = {row.slice: row for row in rows}
if development not in by_name or deciding not in by_name:
return None
return by_name[development].rate - by_name[deciding].rate
def render(rows: Sequence[SliceRow], *, development: str = "", deciding: str = "") -> str:
"""The report. Raises when there are no per-slice rows, because a bare aggregate is the thing to prevent."""
if not rows:
raise ValueError("a report needs per-slice rows: there is no headline without them")
lines = ["## Model coverage", "", "| slice | pairs | covered | coverage |", "|---|---|---|---|"]
for row in sorted(rows, key=lambda r: r.slice):
lines.append(f"| {row.slice} | {row.pairs} | {row.covered} | {row.rate:.0%} |")
total_pairs = sum(row.pairs for row in rows)
total_covered = sum(row.covered for row in rows)
lines += [
"",
f"Across every slice: {total_covered}/{total_pairs} = {total_covered / total_pairs:.0%} — read the rows above it, not this line.",
]
gap = overfitting_gap(rows, development=development, deciding=deciding)
if gap is not None:
lines += [
"",
f"**Overfitting gap: {gap:+.0%}** — `{development}` (development) minus `{deciding}`, which is the deciding real-world slice.",
]
elif development or deciding:
lines += ["", f"**Overfitting gap: not measurable** — `{development}` or `{deciding}` is absent from this run."]
return "\n".join(lines) + "\n"
def render_findings(findings: Sequence[StaticFinding]) -> str:
"""Findings with the rung that established each one (Req 5.3)."""
lines = ["## Findings", "", "| finding | location | rung | severity |", "|---|---|---|---|"]
for finding in findings:
where = f"{finding.path}:{finding.line}" if finding.line else finding.path
lines.append(f"| {finding.title} | {where} | `{finding.rung}` | {finding.severity} |")
return "\n".join(lines) + "\n"
__all__ = ["SliceRow", "overfitting_gap", "render", "render_findings"]
def coverage_rows(regions: Sequence[object]) -> list[dict[str, object]]:
"""What each family actually modelled for the languages scanned, and what it cannot decide (Req 5.6).
Derived, not asserted: the count is the size of the fact table the arbiter used, so it cannot drift from
what the engine really looked for. The `limits` string is authored, reviewed and committed in
`families.toml`, because "cannot decide an overflow expressed as an index" is a statement about an
abstraction and no table can produce it.
Reported for every family that was OFFERED to a region, not only those that produced findings -- a family
that ran and found nothing is exactly the case a reader is most likely to misread, and the one Req 5.6
exists for.
"""
from .specs import config_specs, dominance_specs, taint_specs
from .taxonomy import load_families
taxonomy = load_families()
limits = {family.id: family.limits for family in taxonomy.families}
described = {family.id: family.description for family in taxonomy.families}
offered: dict[tuple[str, str], int] = {}
for region in regions:
language = str(getattr(region, "language", ""))
for family in getattr(region, "families", ()):
offered.setdefault((language, str(family)), 0)
offered[(language, str(family))] += 1
rows: list[dict[str, object]] = []
for (language, family), region_count in sorted(offered.items()):
modelled = _modelled_count(language, family, taint_specs, dominance_specs, config_specs)
rows.append(
{
"language": language,
"family": family,
"regions": region_count,
"modelled": modelled,
"description": described.get(family, ""),
"limits": limits.get(family, ""),
}
)
return rows
def _modelled_count(language: str, family: str, taint_specs, dominance_specs, config_specs) -> int: # type: ignore[no-untyped-def]
"""How many operations the arbiter for this family can even see in this language."""
spec = taint_specs(language=language).get(family)
if spec is not None:
return len(spec.sinks)
spec = dominance_specs(language=language).get(family)
if spec is not None:
return len(spec.operations)
spec = config_specs(language=language).get(family)
if spec is not None:
return len(spec.settings)
return 0