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llm-ingestion-pipeline-secu.../src/llm_ingestion_guard/report.py
Kjell Tore Guttormsen a9c4ccd8c7 feat: scaffold package + report and sanitize modules (TDD)
Build order steps 1-2 of docs/PLAN.md:
- pyproject.toml (llm-ingestion-guard, stdlib-only core, extras [ml]/[judge]/[dev]), LICENSE (MIT)
- report: Finding/Report/Severity/Source shared type (pure data)
- sanitize: carrier stripping (zero-width, BIDI, Unicode-tag, HTML comment,
  data: URI) with the byte-identical / removes-only invariant
- docs/PLAN.md: v1 implementation plan (positioning A, gap-expanded scope,
  llm-security reuse map)

15 tests passing.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K8GmKRCdsPjWYAKWsNgeQS
2026-07-04 09:24:20 +02:00

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2.8 KiB
Python

"""report — the structured findings type shared across all detectors.
Pure data. Detection everywhere in this library is ``text -> findings`` (design
principle 3): a detector never mutates its input, performs no I/O, and returns
``Finding`` objects collected into a ``Report``. Disposition (WARN /
QUARANTINE_REVIEW / FAIL_SECURE) is decided by the caller from these findings —
it is not baked into the Finding itself (design principle 4).
"""
from __future__ import annotations
from dataclasses import dataclass, field
from enum import Enum
from typing import Iterable, Optional
class Severity(str, Enum):
"""Finding severity tiers. Ordered by :func:`severity_rank`."""
CRITICAL = "critical"
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
INFO = "info"
_RANK = {
Severity.CRITICAL: 4,
Severity.HIGH: 3,
Severity.MEDIUM: 2,
Severity.LOW: 1,
Severity.INFO: 0,
}
def severity_rank(severity: Severity) -> int:
"""Return an integer rank for a severity — higher is more severe."""
return _RANK[severity]
class Source(str, Enum):
"""Which side of the pipeline a finding came from.
``INPUT`` — the untrusted content fed into the model. ``OUTPUT`` — the
model's emitted text, scanned before it is persisted (the RAG-poisoning
gate).
"""
INPUT = "input"
OUTPUT = "output"
@dataclass(frozen=True)
class Finding:
"""A single detection. Immutable and hashable.
``label`` is the finding class (e.g. ``"override:ignore-previous"``),
``detector`` is the producing module (``sanitize`` / ``lexicon`` /
``entropy`` / ``output`` / ...). ``evidence`` is a redacted, human-readable
fragment — never raw payload content in alerts.
"""
label: str
severity: Severity
source: Source
detector: str
count: int = 1
offset: Optional[int] = None
evidence: Optional[str] = None
owasp: Optional[str] = None
@dataclass
class Report:
"""A mutable collection of findings with convenience aggregates."""
findings: list[Finding] = field(default_factory=list)
def add(self, finding: Finding) -> None:
self.findings.append(finding)
def extend(self, findings: Iterable[Finding]) -> None:
self.findings.extend(findings)
@property
def found(self) -> bool:
return bool(self.findings)
def max_severity(self) -> Optional[Severity]:
"""The most severe finding's severity, or ``None`` if empty."""
if not self.findings:
return None
return max((f.severity for f in self.findings), key=severity_rank)
def counts(self) -> dict[Severity, int]:
"""Count of findings per severity tier (all tiers present, zero-filled)."""
counts = {severity: 0 for severity in Severity}
for finding in self.findings:
counts[finding.severity] += 1
return counts