feat(fc-cleanup): min-dimension service functions + tests — Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -365,3 +365,47 @@ def prune_unused_tags(session: Session, *, dry_run: bool = False) -> dict:
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)
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session.commit()
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return {"deleted": len(ids), "sample_names": sample}
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# ---------------------------------------------------------------------------
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# FC-Cleanup additions (2026-05-26): retroactive audit of import-filter rules.
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# ---------------------------------------------------------------------------
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_MIN_DIM_SAMPLE_CAP = 50
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def project_min_dimension_violations(
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session: Session, *, min_width: int, min_height: int,
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) -> dict:
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"""Return {count, sample_ids} for image_record rows with width or
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height below the thresholds. Synchronous SQL — no PIL inspection
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needed since width/height are stored columns."""
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base = select(ImageRecord.id).where(
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(ImageRecord.width < min_width) | (ImageRecord.height < min_height)
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)
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count = session.execute(
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select(func.count()).select_from(base.subquery())
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).scalar_one()
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sample_ids = session.execute(
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base.order_by(ImageRecord.id).limit(_MIN_DIM_SAMPLE_CAP)
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).scalars().all()
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return {"count": count, "sample_ids": list(sample_ids)}
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def delete_min_dimension_violations(
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session: Session, *, min_width: int, min_height: int, images_root: Path,
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) -> int:
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"""Delete every image_record where width<min_w OR height<min_h.
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Routes through delete_images so file-unlink + cascading FKs
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(image_tag / image_provenance / etc.) are handled uniformly."""
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ids = session.execute(
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select(ImageRecord.id).where(
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(ImageRecord.width < min_width) | (ImageRecord.height < min_height)
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)
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).scalars().all()
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if not ids:
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return 0
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result = delete_images(
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session, image_ids=list(ids), images_root=images_root,
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)
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return result["images_deleted"]
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