45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
"""Perceptual-hash dedup helpers (ported from ImageRepo).
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hash_size=8 -> 64-bit hash -> 16-hex-char string, which fits the existing
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ImageRecord.phash String(32) column (no image_record migration). IR uses
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hash_size=16; the deliberate FC deviation keeps the schema unchanged. The
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Hamming threshold is the operator-exposed dial (ImportSettings).
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"""
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import imagehash
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HASH_SIZE = 8
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def compute_phash(pil_image) -> str | None:
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"""Perceptual hash of an opened PIL image, as a hex string. None on any
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failure (videos/unreadable/non-image)."""
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try:
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return str(imagehash.phash(pil_image, hash_size=HASH_SIZE))
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except Exception:
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return None
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def find_similar(
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phash_hex: str,
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width: int,
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height: int,
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candidates: list[tuple[str, int, int, int]],
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threshold: int,
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) -> tuple[str, int | None]:
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"""candidates: (phash_hex, width, height, image_id). Returns one of
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("none", None) / ("larger_exists", id) / ("smaller_exists", id).
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First qualifying candidate wins (IR loop order)."""
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new_h = imagehash.hex_to_hash(phash_hex)
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for cand_hex, cw, ch, cid in candidates:
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try:
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dist = new_h - imagehash.hex_to_hash(cand_hex)
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except Exception:
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continue
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if dist <= threshold:
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if cw >= width and ch >= height:
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return ("larger_exists", cid)
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if width > cw or height > ch:
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return ("smaller_exists", cid)
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return ("none", None)
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