mirror of
https://github.com/wiltodelta/remove-ai-watermarks.git
synced 2026-08-10 08:00:32 +02:00
Victor KuznetsovandClaude Opus 5
13095fb45c
Every code-referencing claim in the docs, the README and the rules files was checked against src/, and each finding was re-derived independently before it was applied. 35 held, 5 were false positives. Two of them were code, not text. `InvisibleOptions` promises in its docstring to mirror `InvisibleEngine`, and two defaults had silently stopped: `max_resolution=None` reached `_target_size`'s `max_resolution > 0` and raised `TypeError` on every library call that left the options alone, and `cpu_offload=True` made a library run slower than the identical CLI run. Both are fixed, and `TestInvisibleOptionsMirrorTheEngine` compares the two signatures field by field rather than pinning the two values that happen to be known. A companion assertion in `TestTargetSize` reads the engine's own declared default, so a drift on the engine side -- which the mirror check alone would accept, because both sides would still agree -- fails too. The user-facing docs: README called `invisible` GPU-optional where it raises without CUDA, and gave the image `metadata` command `video metadata`'s output rule, promising the source survives a command that overwrites it. Yuanbao was missing from the supported-mark list. `veo` was listed among the video policies that require a run anchor, though its row sets no `anchor_iou`. `known-limitations` called ControlNet the default profile and contradicted itself ninety lines below. An unescaped pipe truncated the `hailuo` table row. The `dev` extra, the CI shape, ffmpeg's role, the sdist boundary and the strength-curve range were corrected, and `remove_all`/`remove_batch`, the pill gate, `erase --keep-metadata` and `all`'s CUDA failure mode were documented. Research notes that described removed modules, extras and flags in the present tense now say so once in the page banner instead of sentence by sentence, which covers the whole page rather than the lines that happened to be noticed, and one fixture is referred to by role rather than by name. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
483 lines
20 KiB
Python
483 lines
20 KiB
Python
"""High-level convenience API (remove_visible / visible_provenance) and the lazy
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top-level re-exports."""
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from __future__ import annotations
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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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import remove_ai_watermarks as raiw
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from remove_ai_watermarks import api
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SAMPLES = Path(__file__).resolve().parents[1] / "data" / "fixtures" / "provenance"
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DOUBAO = SAMPLES / "doubao-1.png"
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CHATGPT = SAMPLES / "chatgpt-1.png"
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class TestTopLevelExports:
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def test_lazy_reexports_resolve(self):
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assert raiw.remove_visible is api.remove_visible
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assert raiw.visible_provenance is api.visible_provenance
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def test_unknown_attribute_raises(self):
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with pytest.raises(AttributeError):
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_ = raiw.does_not_exist
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def test_bare_import_is_light(self):
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# importing the package must not pull the heavy cv2/torch stack (PEP 562 lazy).
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# Checked in a FRESH interpreter -- another test in this process may already
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# have imported cv2, so an in-process sys.modules check would be flaky.
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import subprocess
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import sys
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code = "import remove_ai_watermarks, sys; print(int(any(m in sys.modules for m in ('cv2','torch'))))"
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out = subprocess.run( # noqa: S603 -- fixed sys.executable + literal code, no untrusted input
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[sys.executable, "-c", code], check=True, capture_output=True, text=True
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)
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assert out.stdout.strip() == "0", f"bare import pulled a heavy module: {out.stdout!r}"
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class TestRemoveVisibleArray:
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def test_array_no_mark_is_noop_copy(self):
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arr = np.zeros((256, 256, 3), np.uint8)
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result, removed = raiw.remove_visible(arr, backend="cv2")
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assert removed == []
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assert result.shape == arr.shape
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assert np.array_equal(result, arr)
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def test_array_accepts_knobs(self):
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arr = np.zeros((256, 256, 3), np.uint8)
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result, removed = raiw.remove_visible(arr, sensitivity="strict", backend="cv2")
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assert removed == []
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assert result.shape == arr.shape
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def test_bad_source_raises(self, tmp_path):
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with pytest.raises(ValueError, match="Could not read image"):
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raiw.remove_visible(tmp_path / "nope.png")
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@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
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class TestRemoveVisiblePath:
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def test_path_removes_and_writes(self, tmp_path):
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out = tmp_path / "clean.png"
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result, removed = raiw.remove_visible(DOUBAO, out, backend="cv2")
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assert out.exists()
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assert any("Doubao" in lbl for lbl in removed)
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assert result.shape[2] == 3
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def test_path_no_output_returns_without_writing(self, tmp_path):
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# output=None returns the array but writes nothing
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result, _ = raiw.remove_visible(DOUBAO, backend="cv2")
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assert result.ndim == 3
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class TestNoOpPreservesOriginal:
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def test_no_mark_copies_original_bytes(self, tmp_path):
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# A clean image (no mark) same-format-out must be copied VERBATIM, not
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# re-encoded -- so a no-op never degrades the original ("work with originals").
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import filecmp
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from PIL import Image
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src = tmp_path / "clean.jpg"
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Image.fromarray(np.full((40, 40, 3), 120, np.uint8), "RGB").save(src, quality=90)
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out = tmp_path / "clean_out.jpg"
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_, removed = raiw.remove_visible(str(src), str(out), sensitivity="strict", backend="cv2")
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assert removed == []
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assert filecmp.cmp(str(src), str(out), shallow=False) # byte-identical
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class TestVisibleProvenance:
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@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
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def test_doubao_tc260_maps_to_the_producer_it_names(self):
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"""The TC260 producer identifies the vendor, so only Doubao is relaxed.
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This used to relax Doubao AND Jimeng on every China-AIGC image, because the
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label alone does not say which vendor made it. Its ``ContentProducer`` does.
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"""
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prov = raiw.visible_provenance(DOUBAO)
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assert "doubao" in prov
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assert "jimeng" not in prov
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def test_unmapped_tc260_producer_falls_back_to_the_bytedance_pair(self, monkeypatch, tmp_path):
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"""An unrecognized producer must not lose the relaxation entirely: the label is
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still evidence that some China-AIGC vendor made the image."""
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from types import SimpleNamespace
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from remove_ai_watermarks import identify, metadata
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monkeypatch.setattr(
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identify,
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"identify",
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lambda *a, **k: SimpleNamespace(platform=None, signals=[SimpleNamespace(name="aigc")]),
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)
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monkeypatch.setattr(metadata, "aigc_label", lambda _p: {"ContentProducer": "0011999999999999999999999"})
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assert raiw.visible_provenance(tmp_path / "x.png") == frozenset({"doubao", "jimeng"})
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def test_known_tc260_producer_names_a_single_vendor(self, monkeypatch, tmp_path):
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from types import SimpleNamespace
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from remove_ai_watermarks import identify, metadata
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monkeypatch.setattr(
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identify,
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"identify",
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lambda *a, **k: SimpleNamespace(platform=None, signals=[SimpleNamespace(name="aigc")]),
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)
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# 001 + 1 + USCC(18) + 5-digit product suffix, the Qwen entity.
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monkeypatch.setattr(metadata, "aigc_label", lambda _p: {"ContentProducer": "001191440101MA9Y9T4H7A00001"})
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assert raiw.visible_provenance(tmp_path / "x.png") == frozenset({"qwen"})
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def test_every_mapped_producer_names_a_registered_mark(self):
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"""The table drives the arbiter's provenance set, so a typo'd key would relax
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nothing and fail silently. Checked here, not at import: importing the registry
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from _internal.constants would drag it into every metadata-only path."""
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from remove_ai_watermarks._internal.constants import TC260_FALLBACK_VENDORS
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from remove_ai_watermarks.watermark_registry import known_marks, mark_keys, tc260_producer_vendors
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keys = set(mark_keys())
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assert set(tc260_producer_vendors().values()) <= keys
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assert keys >= TC260_FALLBACK_VENDORS
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# Every TC260 mark should name its producer, or it silently falls back to the
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# ByteDance pair on an image carrying that mark.
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unmapped = {m.key for m in known_marks() if m.label_regime == "tc260" and not m.tc260_producer_codes}
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assert unmapped == {"jimeng_pill"}, f"TC260 marks with no producer code: {unmapped}"
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@pytest.mark.skipif(not CHATGPT.exists(), reason="chatgpt sample not present")
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def test_openai_image_has_no_visible_vendor(self):
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# OpenAI C2PA is not one of the visible-mark vendors -> empty provenance
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assert raiw.visible_provenance(CHATGPT) == frozenset()
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def test_unreadable_path_is_empty(self, tmp_path):
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assert raiw.visible_provenance(tmp_path / "missing.png") == frozenset()
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def test_uses_report_signals_for_falsy_metadata_values(self, monkeypatch, tmp_path):
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"""An empty TC260 object and Samsung genAIType=0 are still present signals.
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The report has already normalized those values, so the public API must not
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re-read the file and accidentally discard them by truthiness.
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"""
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from types import SimpleNamespace
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from remove_ai_watermarks import identify
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report = SimpleNamespace(
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platform=None,
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signals=[SimpleNamespace(name="aigc"), SimpleNamespace(name="samsung_genai")],
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)
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monkeypatch.setattr(identify, "identify", lambda *args, **kwargs: report)
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assert raiw.visible_provenance(tmp_path / "synthetic.png") == frozenset({"doubao", "jimeng", "samsung"})
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class TestRemoveVisibleOutputPath:
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"""Output-path robustness: in-place clean (#3) and a missing output dir (#4)."""
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def _write_clean(self, p: Path) -> None:
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from remove_ai_watermarks import image_io
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image_io.imwrite(str(p), np.full((128, 128, 3), 200, np.uint8))
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def test_inplace_clean_no_crash(self, tmp_path: Path):
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p = tmp_path / "clean.png"
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self._write_clean(p)
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_, removed = raiw.remove_visible(str(p), str(p), backend="cv2")
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assert removed == []
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assert p.exists()
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def test_creates_missing_output_dir(self, tmp_path: Path):
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src = tmp_path / "in.png"
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self._write_clean(src)
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out = tmp_path / "sub" / "out.png"
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raiw.remove_visible(str(src), str(out), backend="cv2")
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assert out.exists()
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class TestInvisibleOptionsMirrorTheEngine:
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"""``InvisibleOptions`` forwards to ``InvisibleEngine`` and promises every default
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mirrors it. Compare the signatures field by field rather than pinning the values we
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happen to know about, so the next field added on one side and not the other fails
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here. See the incident record in ``docs/module-internals.md``."""
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def test_every_default_matches_the_engine(self):
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import dataclasses
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import inspect
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from remove_ai_watermarks.invisible_engine import InvisibleEngine
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engine = {
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name: p.default
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for method in (InvisibleEngine.__init__, InvisibleEngine.remove_watermark)
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for name, p in inspect.signature(method).parameters.items()
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if p.default is not inspect.Parameter.empty
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}
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# ``force`` is a pipeline decision made before the engine runs, so it has no
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# engine counterpart; ``remove_watermark`` spells the controlnet knob out in full.
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renamed = {"controlnet_scale": "controlnet_conditioning_scale"}
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options = {f.name: f.default for f in dataclasses.fields(api.InvisibleOptions) if f.name != "force"}
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assert options == {name: engine.get(renamed.get(name, name), "<not an engine parameter>") for name in options}
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class TestRemoveAllLibrary:
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"""The three-stage pipeline is a library function, not CLI-only.
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It used to live only in ``cli.py``, written twice (once for ``all``, once for
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``batch``) with divergent behavior, so no library caller could reach it.
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"""
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def _patched_engine(self, monkeypatch, calls: list):
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from remove_ai_watermarks import invisible_engine
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class FakeEngine:
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def remove_watermark(self, *args, **kwargs):
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calls.append(kwargs.get("image_path") or args[0])
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monkeypatch.setattr(invisible_engine, "is_available", lambda: True)
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return FakeEngine()
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@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
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def test_runs_all_three_stages_and_reports_each(self, monkeypatch, tmp_path):
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from remove_ai_watermarks import api
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calls: list = []
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engine = self._patched_engine(monkeypatch, calls)
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monkeypatch.setattr(api._SourceEvidence, "has_invisible_target", lambda _self: True)
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out = tmp_path / "clean.png"
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events: list[tuple[str, str]] = []
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result = api.remove_all(DOUBAO, out, backend="cv2", engine=engine, progress=lambda s, d: events.append((s, d)))
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assert out.exists()
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assert result.invisible == "removed"
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assert result.visible_label is not None # the Doubao mark fired
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assert calls, "the invisible engine was never invoked"
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# Progress is (stage, stable-token), never prose the caller has to parse back.
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assert any(stage == "visible" for stage, _ in events)
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assert ("invisible", "removed") in events
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assert ("metadata", "stripped") in events
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@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
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def test_no_signal_skips_the_scrub_but_still_writes(self, monkeypatch, tmp_path):
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from remove_ai_watermarks import api
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calls: list = []
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engine = self._patched_engine(monkeypatch, calls)
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monkeypatch.setattr(api._SourceEvidence, "has_invisible_target", lambda _self: False)
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out = tmp_path / "clean.png"
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result = api.remove_all(DOUBAO, out, backend="cv2", engine=engine)
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assert result.invisible == "no-signal"
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assert not calls
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assert out.exists() # a deliberate skip is still a successful run
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@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
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def test_missing_gpu_extra_is_reported_not_raised(self, monkeypatch, tmp_path):
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from remove_ai_watermarks import api, invisible_engine
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monkeypatch.setattr(invisible_engine, "is_available", lambda: False)
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out = tmp_path / "clean.png"
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result = api.remove_all(DOUBAO, out, backend="cv2")
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assert result.invisible == "unavailable"
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assert out.exists() # it LOOKS processed -- which is why the caller must warn
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@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
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def test_incomplete_strip_leaves_no_output_file(self, monkeypatch, tmp_path):
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"""The contract the CLI depends on: an AI-readable output plus a non-zero exit
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is worse than no output at all, so the raise happens BEFORE the final write."""
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from remove_ai_watermarks import api, invisible_engine, metadata
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monkeypatch.setattr(invisible_engine, "is_available", lambda: False)
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monkeypatch.setattr(metadata, "strip_and_verify", lambda src, dst: (dst, {"c2pa"}))
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out = tmp_path / "clean.png"
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with pytest.raises(api.MetadataStripIncomplete, match="c2pa"):
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api.remove_all(DOUBAO, out, backend="cv2")
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assert not out.exists()
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def test_unreadable_source_raises_valueerror(self, tmp_path):
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from remove_ai_watermarks import api
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with pytest.raises(ValueError, match="Could not read image"):
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api.remove_all(tmp_path / "nope.png", tmp_path / "out.png")
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@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
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def test_stages_through_the_system_temp_dir_not_the_output_dir(self, monkeypatch, tmp_path):
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"""Staging next to the output would defeat the point: the user must not see a
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partial file there during a long model download."""
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from remove_ai_watermarks import api, invisible_engine
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monkeypatch.setattr(invisible_engine, "is_available", lambda: False)
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out_dir = tmp_path / "out"
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out_dir.mkdir()
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seen: list[set[str]] = []
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real = api.remove_all
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def spy(*args, **kwargs):
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result = real(*args, **kwargs)
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seen.append({p.name for p in out_dir.iterdir()})
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return result
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spy(DOUBAO, out_dir / "clean.png", backend="cv2")
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assert seen == [{"clean.png"}], "an intermediate was left in the output directory"
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class TestRemoveBatchLibrary:
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@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
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def test_visible_mode_writes_every_image(self, tmp_path):
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import shutil
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from remove_ai_watermarks import api
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src = tmp_path / "in"
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src.mkdir()
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for i in range(3):
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shutil.copyfile(DOUBAO, src / f"img{i}.png")
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out = tmp_path / "out"
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summary = api.remove_batch(src, out, mode="visible", backend="cv2")
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assert summary.processed == 3
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assert summary.failed == 0
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assert sorted(p.name for p in out.iterdir()) == ["img0.png", "img1.png", "img2.png"]
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def test_one_bad_file_does_not_abandon_the_rest(self, tmp_path):
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from remove_ai_watermarks import api
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src = tmp_path / "in"
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src.mkdir()
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(src / "broken.png").write_bytes(b"not a png at all")
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image = np.full((64, 64, 3), 120, np.uint8)
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raiw.remove_visible(image) # sanity: the registry is importable here
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from remove_ai_watermarks import image_io
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image_io.imwrite(src / "good.png", image)
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out = tmp_path / "out"
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summary = api.remove_batch(src, out, mode="visible", backend="cv2")
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assert summary.processed == 1
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assert summary.failed == 1
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assert [p.name for p, _ in summary.errors] == ["broken.png"]
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assert (out / "good.png").exists()
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def test_a_failed_write_is_counted_not_swallowed(self, tmp_path, monkeypatch):
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"""Tier E: a read-only output directory once produced zero files and exit 0."""
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from remove_ai_watermarks import api, image_io
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src = tmp_path / "in"
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src.mkdir()
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image_io.imwrite(src / "a.png", np.full((64, 64, 3), 120, np.uint8))
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monkeypatch.setattr(image_io, "write_bgr_with_alpha", lambda *a, **k: False)
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summary = api.remove_batch(src, tmp_path / "out", mode="visible", backend="cv2")
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assert summary.processed == 0
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assert summary.failed == 1
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class TestSourceEvidenceHolder:
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"""One metadata extraction per source file, per call.
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``remove_all`` asks the same file two provenance questions (which vendor is
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confirmed, and is there an invisible target); both start from the same extraction.
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"""
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@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
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def test_remove_all_extracts_evidence_once(self, monkeypatch, tmp_path):
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import shutil
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from remove_ai_watermarks import api, identify, invisible_engine
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class Fake:
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def remove_watermark(self, *args, **kwargs):
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pass
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source = tmp_path / "in.png"
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shutil.copyfile(DOUBAO, source)
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calls: list[int] = []
|
|
real = identify.extract_provenance_evidence
|
|
monkeypatch.setattr(identify, "extract_provenance_evidence", lambda p: (calls.append(1), real(p))[1])
|
|
monkeypatch.setattr(invisible_engine, "is_available", lambda: True)
|
|
|
|
api.remove_all(source, tmp_path / "out.png", backend="cv2", engine=Fake())
|
|
assert len(calls) == 1
|
|
|
|
@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
|
|
def test_holder_agrees_with_the_standalone_functions(self):
|
|
from remove_ai_watermarks import api, identify
|
|
|
|
holder = api._SourceEvidence(DOUBAO)
|
|
assert holder.visible_provenance() == api.visible_provenance(DOUBAO)
|
|
assert holder.has_invisible_target() == identify.has_invisible_target(DOUBAO)
|
|
|
|
def test_extraction_failure_fails_safe_in_both_directions(self, monkeypatch, tmp_path):
|
|
"""No provenance means no relaxation; an unknown invisible target means SCRUB.
|
|
Leaving a watermark on a paid removal is worse than over-regenerating."""
|
|
from remove_ai_watermarks import api, identify
|
|
|
|
def boom(_path):
|
|
raise OSError("extract exploded")
|
|
|
|
monkeypatch.setattr(identify, "extract_provenance_evidence", boom)
|
|
holder = api._SourceEvidence(tmp_path / "x.png")
|
|
assert holder.visible_provenance() == frozenset()
|
|
assert holder.has_invisible_target() is True
|
|
|
|
@pytest.mark.skipif(not DOUBAO.exists(), reason="doubao sample not present")
|
|
def test_a_verdict_failure_also_fails_safe(self, monkeypatch):
|
|
"""The suppress must span the VERDICT and the mapping, not just the extraction:
|
|
a raise here used to escape as a traceback where the old code returned empty."""
|
|
from remove_ai_watermarks import api, identify
|
|
|
|
def boom(*args, **kwargs):
|
|
raise RuntimeError("verdict exploded")
|
|
|
|
monkeypatch.setattr(identify, "identify_from_evidence", boom)
|
|
holder = api._SourceEvidence(DOUBAO)
|
|
assert holder.visible_provenance() == frozenset()
|
|
assert holder.has_invisible_target() is True
|
|
|
|
|
|
class TestBatchProgressIsStructured:
|
|
"""`remove_batch` emits exactly one terminal event per image, in every mode.
|
|
|
|
Regression: the CLI advanced its progress bar by string-matching a stage line that
|
|
only ``mode="all"`` ever emitted, so a `visible` or `metadata` batch sat at 0% for
|
|
the whole run and jumped to 100% at the end.
|
|
"""
|
|
|
|
def _run(self, tmp_path, mode: str) -> list[tuple[str, str, str]]:
|
|
from remove_ai_watermarks import api, image_io
|
|
|
|
src = tmp_path / "in"
|
|
src.mkdir()
|
|
for i in range(3):
|
|
image_io.imwrite(src / f"img{i}.png", np.full((64, 64, 3), 120, np.uint8))
|
|
events: list[tuple[str, str, str]] = []
|
|
api.remove_batch(
|
|
src,
|
|
tmp_path / "out",
|
|
mode=mode, # type: ignore[arg-type]
|
|
backend="cv2",
|
|
progress=lambda p, stage, detail: events.append((p.name, stage, detail)),
|
|
)
|
|
return events
|
|
|
|
@pytest.mark.parametrize("mode", ["visible", "metadata"])
|
|
def test_one_terminal_event_per_image(self, tmp_path, mode):
|
|
events = self._run(tmp_path, mode)
|
|
terminal = [name for name, stage, _ in events if stage in ("done", "failed")]
|
|
assert sorted(terminal) == ["img0.png", "img1.png", "img2.png"]
|
|
|
|
def test_progress_is_a_token_not_prose(self, tmp_path):
|
|
"""The CLI keys console text off these tokens; free text would break it."""
|
|
events = self._run(tmp_path, "visible")
|
|
assert {stage for _, stage, _ in events} <= {"visible", "invisible", "metadata", "done", "failed"}
|