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Add a new OCR regression fixture from an ocr_debug image. Use when a scan misidentified an item and you want to lock in the correct result as a test case.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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| name | add-fixture |
| description | Add a new OCR regression fixture from an ocr_debug image. Use when a scan misidentified an item and you want to lock in the correct result as a test case. |
| disable-model-invocation | true |
When OCR misidentifies an item, capture a regression fixture so the failure can never silently recur.
The ocr_debug/ directory must contain the problem image. Run a dry-run scan if it is empty:
uv run autoscrapper scan --dry-run
uv run python scripts/capture_ocr_fixture.py IMAGE_PATH EXPECTED_NAME
Example:
uv run python scripts/capture_ocr_fixture.py ocr_debug/infobox_3.png "Rusty Gear"
Output:
tests/fixtures/ocr/rusty_gear.png ← copy of the source image tests/fixtures/ocr/rusty_gear.json ← sidecar: expected_name, source, captured_at
If the fixture already exists, the script prompts before overwriting.
uv run pytest tests/autoscrapper/ocr/test_ocr_fixtures.py -v
If it fails, the OCR is still broken - this is now a tracked regression. Fix the OCR logic, then rerun until the fixture passes.
uv run pytest tests/autoscrapper/ocr/ -v
All existing fixtures must still pass after adding the new one.
"Arc Alloy" → arc_alloy.pngocr_debug/ is disposable and is not committed; fixtures in tests/fixtures/ocr/ are committed