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backend/app/images/processing.py
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98
backend/app/images/processing.py
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"""Image processing utilities - thumbnail generation."""
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import contextlib
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import io
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from uuid import UUID
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from PIL import Image as PILImage
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from app.core.storage import get_storage_client
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# Thumbnail sizes (width in pixels, height proportional)
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THUMBNAIL_SIZES = {
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"low": 800, # For slow connections
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"medium": 1600, # For medium connections
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"high": 3200, # For fast connections
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}
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def generate_thumbnails(image_id: UUID, original_path: str, contents: bytes) -> dict[str, str]:
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"""
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Generate thumbnails at different resolutions.
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Args:
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image_id: Image ID for naming thumbnails
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original_path: Path to original image
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contents: Original image contents
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Returns:
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Dictionary mapping quality level to thumbnail storage path
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"""
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storage = get_storage_client()
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thumbnail_paths = {}
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# Load original image
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image = PILImage.open(io.BytesIO(contents))
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# Convert to RGB if necessary (for JPEG compatibility)
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if image.mode in ("RGBA", "LA", "P"):
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# Create white background for transparent images
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background = PILImage.new("RGB", image.size, (255, 255, 255))
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if image.mode == "P":
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image = image.convert("RGBA")
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background.paste(image, mask=image.split()[-1] if image.mode in ("RGBA", "LA") else None)
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image = background
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elif image.mode != "RGB":
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image = image.convert("RGB")
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# Get original dimensions
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orig_width, orig_height = image.size
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# Generate thumbnails for each size
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for quality, max_width in THUMBNAIL_SIZES.items():
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# Skip if original is smaller than thumbnail size
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if orig_width <= max_width:
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thumbnail_paths[quality] = original_path
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continue
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# Calculate proportional height
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ratio = max_width / orig_width
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new_height = int(orig_height * ratio)
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# Resize image
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thumbnail = image.resize((max_width, new_height), PILImage.Resampling.LANCZOS)
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# Convert to WebP for better compression
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output = io.BytesIO()
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thumbnail.save(output, format="WEBP", quality=85, method=6)
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output.seek(0)
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# Generate storage path
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thumbnail_path = f"thumbnails/{quality}/{image_id}.webp"
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# Upload to MinIO
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storage.put_object(
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bucket_name="webref",
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object_name=thumbnail_path,
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data=output,
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length=len(output.getvalue()),
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content_type="image/webp",
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)
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thumbnail_paths[quality] = thumbnail_path
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return thumbnail_paths
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async def delete_thumbnails(thumbnail_paths: dict[str, str]) -> None:
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"""
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Delete thumbnails from storage.
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Args:
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thumbnail_paths: Dictionary of quality -> path
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"""
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storage = get_storage_client()
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for path in thumbnail_paths.values():
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with contextlib.suppress(Exception):
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# Log error but continue
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storage.remove_object(bucket_name="webref", object_name=path)
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