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llm-ingestion-pipeline-secu.../tests/inbox_frontend.py
Kjell Tore Guttormsen 24e57ca10b feat(inbox): two-stage upload front-end — text formats (stage 2a)
Realistic-upload showcase (PLAN §247), first slice. A stage-1 front-end reads
dropped files and materializes them into an OKF bundle {concept_path: text} +
provenance; receive() wires extract -> import_bundle -> verdict. This slice
covers .txt/.md (stdlib only); .zip/.csv/folder/.docx/.pptx follow.

- Front-end lives in tests/ (showcase/dev-scoped), core stays stdlib-only:
  dependencies=[] untouched; python-docx/python-pptx added to the [dev] extra
  (used from stage 2d/2e), never a public [extract] extra (not v1 per PLAN).
- .txt injection -> guard T1 -> REJECT; clean .txt -> ADMIT; a dropped .md keeps
  its frontmatter so a dangerous value -> T2 REJECT; an index.* upload
  materializes onto the reserved uploads/index.md -> T4 REJECT.
- Detach-proof: neuter extraction to an empty bundle -> the poisoned upload
  ADMITs, proving the verdict depends on extraction carrying the payload.

Tests 282 -> 288.
2026-07-06 11:04:23 +02:00

103 lines
3.9 KiB
Python

"""OKF inbox front-end — stage 1 of the two-stage upload showcase (PLAN §247).
Reads the files a human actually drops into an inbox and *materializes* them into
an OKF bundle ``{concept_path: document_text}`` with provenance, so the stage-2
guard (:func:`llm_ingestion_guard.okf.import_bundle`) can validate every concept.
This stage owns the container/format threats; the guard owns the text/structural
threats.
**Placement.** This lives in the test tree, not ``src/``: the extraction parsers
are showcase/dev-scoped (``python-docx``/``python-pptx`` in the ``dev`` extra,
never core ``dependencies``), and the shippable core stays stdlib-only. It is an
in-repo demonstration a consumer reads and adapts, not v1 shipped code.
Slice 2a covers the text formats — ``.txt`` and ``.md`` (stdlib only). ``.zip``
(zip-slip / zip-bomb), ``.csv`` (formula injection), folders, ``.docx`` and
``.pptx`` land in later slices.
"""
from __future__ import annotations
from dataclasses import dataclass
from pathlib import Path
from llm_ingestion_guard.okf import import_bundle, Origin, Channel, BundleResult
from llm_ingestion_guard.disposition import Disposition
# Aggregate disposition -> inbox verdict. Fail-secure by default: a front-end
# refusal (a container threat the guard never sees) is itself a REJECT.
_VERDICT = {
Disposition.WARN: "ADMIT",
Disposition.QUARANTINE_REVIEW: "HOLD",
Disposition.FAIL_SECURE: "REJECT",
}
# Where materialized uploads live inside the bundle. An upload named ``index.*``
# thus lands on the reserved ``uploads/index.md`` and is refused by the path gate.
_MATERIALIZE_PREFIX = "uploads"
# The text formats this slice reads directly (no parser dependency).
_TEXT_SUFFIXES = {".txt", ".md"}
@dataclass(frozen=True)
class Provenance:
"""Where one materialized concept came from — the audit record (brief §6)."""
concept_path: str
source_name: str
source_type: str
@dataclass(frozen=True)
class InboxExtract:
"""The stage-1 output: the OKF bundle, its provenance, and front-end refusals.
``rejected`` holds ``(source_name, reason)`` for drops the front-end refuses
outright (a container threat the guard never gets to see, e.g. a zip bomb).
Empty for the text-format slice.
"""
bundle: dict
provenance: tuple
rejected: tuple
def _materialize_path(source_name: str) -> str:
"""Assign an OKF concept path to a dropped file: ``<prefix>/<stem>.md``."""
stem = Path(source_name).stem
return f"{_MATERIALIZE_PREFIX}/{stem}.md"
def extract_inbox(paths) -> InboxExtract:
"""Read dropped files and materialize them into an OKF bundle + provenance.
``paths`` is an iterable of file paths. Each ``.txt`` / ``.md`` becomes one
concept; a ``.md`` keeps its OKF frontmatter verbatim, a ``.txt`` becomes a
body-only concept. Non-text suffixes are not handled in this slice.
"""
bundle: dict = {}
provenance: list = []
for path in paths:
path = Path(path)
suffix = path.suffix.lower()
if suffix not in _TEXT_SUFFIXES:
raise ValueError(f"unsupported upload format in this slice: {path.name!r}")
concept_path = _materialize_path(path.name)
bundle[concept_path] = path.read_text(encoding="utf-8")
provenance.append(
Provenance(concept_path, path.name, suffix.lstrip("."))
)
return InboxExtract(bundle, tuple(provenance), ())
def receive(paths) -> tuple[InboxExtract, BundleResult, str]:
"""The full two-stage inbox: extract & materialize, then guard, then verdict.
Returns ``(extracted, guard_result, verdict)``. A front-end refusal forces a
REJECT regardless of the guard's aggregate — the guard never saw that drop.
"""
extracted = extract_inbox(paths)
result = import_bundle(extracted.bundle, origin=Origin.EXTERNAL, channel=Channel.AUTOMATIC)
verdict = "REJECT" if extracted.rejected else _VERDICT[result.disposition]
return extracted, result, verdict