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chopratejas--headroom/tests/test_image_ocr_api_compat.py
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chore: import upstream snapshot with attribution
2026-07-13 12:03:20 +08:00

236 lines
8.0 KiB
Python

"""OCR backend API-compat regression tests for issue #372.
The rapidocr ecosystem split after 1.4.x:
* `rapidocr-onnxruntime` 1.4.x — Python <3.13 only; tuple result.
* `rapidocr` 3.x — Python 3.13+; `RapidOCROutput` dataclass result.
`headroom/image/compressor.py` adapts both at runtime via
`_resolve_rapidocr` + per-version branches in `_ocr_extract`. These
tests pin both branches so a future "let me clean up the v1 path"
refactor doesn't silently break Python <3.13 users.
"""
from __future__ import annotations
import sys
from types import ModuleType, SimpleNamespace
from typing import Any
import pytest
from headroom.image import compressor as compressor_module
from headroom.image.compressor import ImageCompressor
def _install_fake_module(monkeypatch: pytest.MonkeyPatch, name: str, attrs: dict[str, Any]) -> None:
"""Inject a synthetic module into sys.modules so import sees it."""
mod = ModuleType(name)
for k, v in attrs.items():
setattr(mod, k, v)
monkeypatch.setitem(sys.modules, name, mod)
def _hide_module(monkeypatch: pytest.MonkeyPatch, name: str) -> None:
"""Force ImportError when `name` is imported."""
monkeypatch.setitem(sys.modules, name, None)
@pytest.fixture(autouse=True)
def _reset_resolver_cache() -> None:
compressor_module._reset_resolved_ocr_for_tests()
yield
compressor_module._reset_resolved_ocr_for_tests()
# ---------------------------------------------------------------------------
# Resolver
# ---------------------------------------------------------------------------
def test_resolve_rapidocr_prefers_v1_when_both_available(monkeypatch: pytest.MonkeyPatch) -> None:
class _V1RapidOCR:
pass
class _V3RapidOCR:
pass
_install_fake_module(monkeypatch, "rapidocr_onnxruntime", {"RapidOCR": _V1RapidOCR})
_install_fake_module(monkeypatch, "rapidocr", {"RapidOCR": _V3RapidOCR})
cls, api = compressor_module._resolve_rapidocr()
assert cls is _V1RapidOCR
assert api == "v1"
def test_resolve_rapidocr_falls_back_to_v3_when_v1_missing(monkeypatch: pytest.MonkeyPatch) -> None:
class _V3RapidOCR:
pass
_hide_module(monkeypatch, "rapidocr_onnxruntime")
_install_fake_module(monkeypatch, "rapidocr", {"RapidOCR": _V3RapidOCR})
cls, api = compressor_module._resolve_rapidocr()
assert cls is _V3RapidOCR
assert api == "v3"
def test_resolve_rapidocr_returns_none_when_neither_installed(
monkeypatch: pytest.MonkeyPatch,
) -> None:
_hide_module(monkeypatch, "rapidocr_onnxruntime")
_hide_module(monkeypatch, "rapidocr")
cls, api = compressor_module._resolve_rapidocr()
assert cls is None
assert api is None
# ---------------------------------------------------------------------------
# _ocr_extract — v1 tuple shape
# ---------------------------------------------------------------------------
def _make_compressor() -> ImageCompressor:
"""Build an ImageCompressor with the heavy ML deps stubbed.
`ImageCompressor.__init__` lazy-loads the trained router; we don't
exercise it here. Constructing a bare instance bypasses the load.
"""
return ImageCompressor.__new__(ImageCompressor)
def test_ocr_extract_v1_tuple_shape_parses_correctly(monkeypatch: pytest.MonkeyPatch) -> None:
class _V1Engine:
def __call__(self, _image_data: bytes) -> tuple[list[tuple[Any, str, float]], float]:
return (
[
(None, "hello", 0.95),
(None, "world", 0.90),
],
0.123,
)
class _V1RapidOCR:
def __init__(self) -> None: ...
def __call__(self, image_data: bytes) -> Any: # noqa: D401
return _V1Engine()(image_data)
_install_fake_module(monkeypatch, "rapidocr_onnxruntime", {"RapidOCR": _V1RapidOCR})
c = _make_compressor()
text = c._ocr_extract(b"\x89PNG fake")
assert text == "hello\nworld"
def test_ocr_extract_v1_low_confidence_returns_none(monkeypatch: pytest.MonkeyPatch) -> None:
class _V1RapidOCR:
def __init__(self) -> None: ...
def __call__(self, _image_data: bytes) -> tuple[list[Any], float]:
return ([(None, "blurry", 0.3), (None, "smudge", 0.4)], 0.0)
_install_fake_module(monkeypatch, "rapidocr_onnxruntime", {"RapidOCR": _V1RapidOCR})
c = _make_compressor()
assert c._ocr_extract(b"\x89PNG fake", min_confidence=0.7) is None
def test_ocr_extract_v1_empty_result_returns_none(monkeypatch: pytest.MonkeyPatch) -> None:
class _V1RapidOCR:
def __init__(self) -> None: ...
def __call__(self, _image_data: bytes) -> tuple[list[Any] | None, float]:
return ([], 0.0)
_install_fake_module(monkeypatch, "rapidocr_onnxruntime", {"RapidOCR": _V1RapidOCR})
c = _make_compressor()
assert c._ocr_extract(b"\x89PNG fake") is None
# ---------------------------------------------------------------------------
# _ocr_extract — v3 dataclass shape
# ---------------------------------------------------------------------------
def test_ocr_extract_v3_dataclass_shape_parses_correctly(monkeypatch: pytest.MonkeyPatch) -> None:
class _V3RapidOCR:
def __init__(self) -> None: ...
def __call__(self, _image_data: bytes) -> Any:
# Mirror the real `rapidocr.RapidOCROutput` minimal surface.
return SimpleNamespace(
txts=["hello", "world"],
scores=[0.95, 0.90],
boxes=[None, None],
)
_hide_module(monkeypatch, "rapidocr_onnxruntime")
_install_fake_module(monkeypatch, "rapidocr", {"RapidOCR": _V3RapidOCR})
c = _make_compressor()
text = c._ocr_extract(b"\x89PNG fake")
assert text == "hello\nworld"
def test_ocr_extract_v3_low_confidence_returns_none(monkeypatch: pytest.MonkeyPatch) -> None:
class _V3RapidOCR:
def __init__(self) -> None: ...
def __call__(self, _image_data: bytes) -> Any:
return SimpleNamespace(txts=["blurry", "smudge"], scores=[0.3, 0.4], boxes=[None, None])
_hide_module(monkeypatch, "rapidocr_onnxruntime")
_install_fake_module(monkeypatch, "rapidocr", {"RapidOCR": _V3RapidOCR})
c = _make_compressor()
assert c._ocr_extract(b"\x89PNG fake", min_confidence=0.7) is None
def test_ocr_extract_v3_none_attrs_when_no_text_detected(monkeypatch: pytest.MonkeyPatch) -> None:
"""Real-world v3 behavior: when detection finds nothing, RapidOCROutput
has txts=None and scores=None. Verified in dispatch smoke test against
rapidocr 3.8.1.
"""
class _V3RapidOCR:
def __init__(self) -> None: ...
def __call__(self, _image_data: bytes) -> Any:
return SimpleNamespace(txts=None, scores=None, boxes=None)
_hide_module(monkeypatch, "rapidocr_onnxruntime")
_install_fake_module(monkeypatch, "rapidocr", {"RapidOCR": _V3RapidOCR})
c = _make_compressor()
assert c._ocr_extract(b"\x89PNG fake") is None
def test_ocr_extract_v3_mismatched_lengths_logs_and_returns_none(
monkeypatch: pytest.MonkeyPatch, caplog: pytest.LogCaptureFixture
) -> None:
class _V3RapidOCR:
def __init__(self) -> None: ...
def __call__(self, _image_data: bytes) -> Any:
return SimpleNamespace(txts=["a", "b", "c"], scores=[0.9, 0.8], boxes=[None] * 3)
_hide_module(monkeypatch, "rapidocr_onnxruntime")
_install_fake_module(monkeypatch, "rapidocr", {"RapidOCR": _V3RapidOCR})
c = _make_compressor()
with caplog.at_level("WARNING", logger="headroom.image.compressor"):
result = c._ocr_extract(b"\x89PNG fake")
assert result is None
assert any("event=ocr_unknown_api_shape" in r.getMessage() for r in caplog.records)
# ---------------------------------------------------------------------------
# Backend missing
# ---------------------------------------------------------------------------
def test_ocr_extract_returns_none_when_no_backend_installed(
monkeypatch: pytest.MonkeyPatch,
) -> None:
_hide_module(monkeypatch, "rapidocr_onnxruntime")
_hide_module(monkeypatch, "rapidocr")
c = _make_compressor()
assert c._ocr_extract(b"\x89PNG fake") is None