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d32967eda8
### What problem does this PR solve? let excel use lazy image loader ### Type of change - [x] Refactoring --------- Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
133 lines
3.3 KiB
Python
133 lines
3.3 KiB
Python
import logging
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from io import BytesIO
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from PIL import Image
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from rag.nlp import concat_img
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class LazyImage:
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def __init__(self, blobs, source=None):
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self._blobs = [b for b in (blobs or []) if b]
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self.source = source
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self._pil = None
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def __bool__(self):
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return bool(self._blobs)
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def to_pil(self):
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if self._pil is not None:
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try:
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self._pil.load()
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return self._pil
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except Exception:
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try:
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self._pil.close()
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except Exception:
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pass
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self._pil = None
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res_img = None
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for blob in self._blobs:
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try:
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image = Image.open(BytesIO(blob)).convert("RGB")
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except Exception as e:
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logging.info(f"LazyImage: skip bad image blob: {e}")
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continue
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if res_img is None:
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res_img = image
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continue
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new_img = concat_img(res_img, image)
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if new_img is not res_img:
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try:
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res_img.close()
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except Exception:
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pass
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try:
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image.close()
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except Exception:
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pass
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res_img = new_img
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self._pil = res_img
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return self._pil
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def to_pil_detached(self):
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pil = self.to_pil()
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self._pil = None
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return pil
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def close(self):
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if self._pil is not None:
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try:
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self._pil.close()
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except Exception:
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pass
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self._pil = None
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return None
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def __getattr__(self, name):
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pil = self.to_pil()
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if pil is None:
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raise AttributeError(name)
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return getattr(pil, name)
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def __array__(self, dtype=None):
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import numpy as np
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pil = self.to_pil()
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if pil is None:
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return np.array([], dtype=dtype)
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return np.array(pil, dtype=dtype)
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def __enter__(self):
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return self.to_pil()
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def __exit__(self, exc_type, exc, tb):
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self.close()
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return False
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@staticmethod
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def merge(a, b):
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"""
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Merge two LazyImage instances by combining their blob lists.
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"""
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a_blobs = a._blobs if isinstance(a, LazyImage) else []
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b_blobs = b._blobs if isinstance(b, LazyImage) else []
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combined = a_blobs + b_blobs
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if not combined:
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return None
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merged = LazyImage(combined)
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return merged
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LazyDocxImage = LazyImage
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def ensure_pil_image(img):
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if isinstance(img, Image.Image):
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return img
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if isinstance(img, LazyImage):
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return img.to_pil()
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return None
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def is_image_like(img):
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return isinstance(img, Image.Image) or isinstance(img, LazyImage)
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def open_image_for_processing(img, *, allow_bytes=False):
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if isinstance(img, Image.Image):
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return img, False
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if isinstance(img, LazyImage):
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return img.to_pil_detached(), True
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if allow_bytes and isinstance(img, (bytes, bytearray)):
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try:
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pil = Image.open(BytesIO(img)).convert("RGB")
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return pil, True
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except Exception as e:
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logging.info(f"open_image_for_processing: bad bytes: {e}")
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return None, False
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return img, False
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