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`collect_metadata_record` returns a JSON-safe record carrying an image's provenance metadata regions -- never its pixels -- and the existing `evidence_from_metadata_record` + `identify_from_evidence` build the verdict from it without opening the file. The contract is equality with `identify(path, metadata only)`, verified over the tracked fixtures and over a local corpus of 3,478 images (every file carrying a rare signal, plus a random slice): zero differences. Three placements defeated earlier drafts and each is now a rule with a test: the `scan_head` buffer is the head CONCATENATED with late metadata, so a structural walk must read the raw head instead; Samsung splits its evidence between a post-EOI trailer and the coded scan; and PIL's info keys must be emitted in the file path's candidate order, since the first token match wins. Also fix a real detection gap found while establishing that equality: a label the decoder can read but a raw byte scan cannot -- a compressed PNG `zTXt` packet, or a WebP XMP chunk past the scan window -- was invisible to `identify`. Eight corpus files carrying a China TC260 AIGC label or an IPTC "Made with AI" tag were reported as no signal at all. `scripts/detection_timing.py` and its report script measure the metadata path per method; they write outside the repository and are read-only over a dataset. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
195 lines
8.4 KiB
Python
195 lines
8.4 KiB
Python
"""Tests for the portable metadata record.
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The contract is one property: a verdict built from the record equals the verdict
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built from the file. Everything here exists to pin that, or to pin a placement the
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record could plausibly drop.
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"""
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from __future__ import annotations
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import json
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import struct
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import zlib
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from pathlib import Path
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import numpy as np
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import pytest
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from PIL import Image
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from remove_ai_watermarks.identify import (
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ProvenanceReport,
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evidence_from_metadata_record,
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identify,
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identify_from_evidence,
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)
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from remove_ai_watermarks.metadata_record import HEAD_WINDOW, collect_metadata_record
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FIXTURES = Path(__file__).resolve().parent.parent / "data" / "fixtures" / "provenance"
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COMPARED = ("is_ai_generated", "platform", "confidence", "ai_source_kind", "ai_from_metadata")
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def _verdict_via_record(path: Path) -> ProvenanceReport:
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"""The contractor's path: collect, serialize, judge -- without the file."""
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record = json.loads(json.dumps(collect_metadata_record(path)))
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return identify_from_evidence(evidence_from_metadata_record(record, path=path))
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def _assert_same_verdict(path: Path) -> None:
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via_record = _verdict_via_record(path)
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via_file = identify(path, check_visible=False, check_invisible=False)
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for field in COMPARED:
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assert getattr(via_record, field) == getattr(via_file, field), field
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assert sorted(s.name for s in via_record.signals) == sorted(s.name for s in via_file.signals)
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assert sorted(via_record.watermarks) == sorted(via_file.watermarks)
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def _noise_png(path: Path, size: tuple[int, int] = (700, 700)) -> Path:
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"""A PNG whose IDAT is incompressible, so the file exceeds the head window."""
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rng = np.random.default_rng(0)
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Image.fromarray(rng.integers(0, 255, (size[1], size[0], 3), dtype=np.uint8)).save(path)
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return path
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def _insert_png_chunk(path: Path, chunk_type: bytes, payload: bytes) -> None:
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"""Splice a chunk in just before IEND, i.e. AFTER the whole pixel stream."""
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data = path.read_bytes()
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end = data.rindex(b"IEND") - 4
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chunk = struct.pack(">I", len(payload)) + chunk_type + payload
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chunk += struct.pack(">I", zlib.crc32(chunk_type + payload) & 0xFFFFFFFF)
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path.write_bytes(data[:end] + chunk + data[end:])
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class TestRecordReproducesTheFileVerdict:
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"""The whole point of the record. Every tracked provenance fixture is compared,
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which covers C2PA, the China TC260 label, the xAI EXIF pair and the IPTC tag."""
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@pytest.mark.skipif(not FIXTURES.is_dir(), reason="provenance fixtures not present")
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@pytest.mark.parametrize("name", sorted(p.name for p in FIXTURES.iterdir()) if FIXTURES.is_dir() else [])
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def test_fixture(self, name: str):
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_assert_same_verdict(FIXTURES / name)
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@pytest.mark.skipif(not FIXTURES.is_dir(), reason="provenance fixtures not present")
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def test_the_fixtures_actually_exercise_several_signals(self):
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"""Guards the test above: if the fixture set ever narrows to one signal
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family, equality across it stops meaning much."""
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found = {
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signal.name
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for path in FIXTURES.iterdir()
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for signal in identify(path, check_visible=False, check_invisible=False).signals
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}
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assert len(found) >= 4, found
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class TestPlacementsTheRecordCouldDrop:
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def test_a_trailer_after_eoi_survives(self, tmp_path: Path):
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"""Samsung Galaxy AI appends its marker past the JPEG EOI, and the value it is
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gated on can sit further back still. A record that stopped at the last
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structural marker would report no signal at all."""
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path = tmp_path / "edited.jpg"
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Image.fromarray(np.zeros((64, 64, 3), dtype=np.uint8)).save(path, "JPEG")
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with path.open("ab") as handle:
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handle.write(b'PhotoEditor_Re_Edit_Data{"genAIType":17}')
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assert identify(path, check_visible=False, check_invisible=False).confidence == "medium"
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_assert_same_verdict(path)
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def test_a_metadata_chunk_past_the_head_window_survives(self, tmp_path: Path):
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"""A PNG encoder may put the label chunk after the pixels. The file is larger
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than the record's head window, so only the seek-past-IDAT reader finds it."""
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path = _noise_png(tmp_path / "late.png")
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assert path.stat().st_size > HEAD_WINDOW
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# An XMP packet in the namespaced TC260 form, which is how the label travels
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# when it is not a bare ``AIGC`` keyword chunk.
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label = json.dumps({"Label": "1", "ContentProducer": "001191110102MACQD9K64010000"})
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xmp = (
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b'<x:xmpmeta xmlns:x="adobe:ns:meta/"><rdf:RDF><rdf:Description '
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b'xmlns:TC260="http://www.tc260.org.cn/ns/AIGC/1.0/"><TC260:AIGC>'
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+ label.encode()
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+ b"</TC260:AIGC></rdf:Description></rdf:RDF></x:xmpmeta>"
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)
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_insert_png_chunk(path, b"iTXt", b"XML:com.adobe.xmp\x00\x00\x00\x00\x00" + xmp)
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assert "aigc" in {s.name for s in identify(path, check_visible=False, check_invisible=False).signals}
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_assert_same_verdict(path)
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def test_an_exif_pair_survives(self, tmp_path: Path):
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"""xAI is recognized from an (ImageDescription, Artist) PAIR, and both are read
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by tag NAME. A record carrying only raw bytes loses it."""
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import piexif
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path = tmp_path / "grok.jpg"
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Image.fromarray(np.zeros((64, 64, 3), dtype=np.uint8)).save(path, "JPEG")
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exif = {
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"0th": {
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piexif.ImageIFD.ImageDescription: b"Signature: " + b"A" * 80,
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piexif.ImageIFD.Artist: b"3f2504e0-4f89-11d3-9a0c-0305e82c3301",
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}
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}
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piexif.insert(piexif.dump(exif), str(path))
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assert "xai_signature" in {s.name for s in identify(path, check_visible=False, check_invisible=False).signals}
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_assert_same_verdict(path)
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class TestRecordShape:
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def test_the_record_survives_json(self, tmp_path: Path):
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record = collect_metadata_record(_noise_png(tmp_path / "plain.png"))
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assert json.loads(json.dumps(record))["container"] == "png"
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def test_pixels_are_not_carried(self, tmp_path: Path):
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"""The reason the record walks regions instead of shipping the head: a record
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that carried the pixel stream would be the size of the image."""
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path = _noise_png(tmp_path / "big.png", size=(1200, 1200))
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record = collect_metadata_record(path)
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idat = path.read_bytes()
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start = idat.index(b"IDAT") + 4
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assert idat[start : start + 512] not in json.dumps(record).encode()
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assert len(json.dumps(record)) < path.stat().st_size // 10
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def test_an_unreadable_container_still_yields_a_record(self, tmp_path: Path):
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path = tmp_path / "junk.bin"
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path.write_bytes(b"\x00\x01\x02not an image at all" * 100)
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record = collect_metadata_record(path)
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assert record["container"] == "unknown"
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assert json.dumps(record) # serializable, and no exception on the way here
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_assert_same_verdict(path)
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def test_a_missing_file_does_not_raise(self, tmp_path: Path):
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"""Collection runs over whatever a caller hands it, including a path that
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vanished between listing and reading."""
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record = collect_metadata_record(tmp_path / "gone.png")
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assert record["container"] == "unknown"
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assert record["metadata_base64"] == ""
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def test_a_webp_record_matches(tmp_path: Path):
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"""RIFF has its own walk; a chunk kept or dropped wrongly shows up here."""
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path = tmp_path / "image.webp"
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Image.fromarray(np.zeros((64, 64, 3), dtype=np.uint8)).save(path, "WEBP", xmp=b"<x:xmpmeta>plain</x:xmpmeta>")
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assert collect_metadata_record(path)["container"] == "webp"
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_assert_same_verdict(path)
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def test_the_record_never_reopens_the_source(tmp_path: Path, monkeypatch):
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"""The reason the record exists: the verdict must run where the file is not."""
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path = FIXTURES / "chatgpt-1.png" if (FIXTURES / "chatgpt-1.png").exists() else _noise_png(tmp_path / "x.png")
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record = json.loads(json.dumps(collect_metadata_record(path)))
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def fail_if_called(*args, **kwargs):
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raise AssertionError("the record path must not open the source file")
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monkeypatch.setattr("builtins.open", fail_if_called)
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monkeypatch.setattr(Path, "open", fail_if_called)
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monkeypatch.setattr(Image, "open", fail_if_called)
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report = identify_from_evidence(evidence_from_metadata_record(record, path=path))
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assert isinstance(report, ProvenanceReport)
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