metadata-scrubber-tool:
added functionality for wiping exif data from jpeg images
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.venv
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__pycache__
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# Utility functions for commands
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import shutil
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from pathlib import Path
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from typing import Optional
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import piexif
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from PIL import Image
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from src.services.metadata_handler import MetadataHandler
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from src.utils.jpeg_metadata import JpegProcessaor
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class ImageHandler(MetadataHandler):
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def __init__(self, filepath: str):
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super().__init__(filepath)
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self.processors = {".jpeg": JpegProcessaor(), ".jpg": JpegProcessaor()}
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self.tags_to_delete = []
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def read(self):
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"""Extracts metadata into a standard dictionary."""
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with Image.open(Path(self.filepath)) as img:
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extension = Path(self.filepath).suffix
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processor = self.processors.get(extension)
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if not processor:
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raise ValueError(f"Unsupported format: {extension}")
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self.metadata = processor.get_metadata(img)["data"]
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self.tags_to_delete = processor.get_metadata(img)["tags_to_delete"]
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return self.metadata
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def wipe(self) -> None:
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"""Wipes internal metadata state."""
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with Image.open(Path(self.filepath)) as img:
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extension = Path(self.filepath).suffix
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processor = self.processors.get(extension)
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if not processor:
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raise ValueError(f"Unsupported format: {extension}")
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self.processed_metadata = processor.delete_metadata(
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img, self.tags_to_delete
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)
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def save(self, output_path: Optional[str] = None) -> None:
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"""Writes the changes to a copy of the original file."""
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destination_dir = Path(output_path or "/archive/")
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# creates the destination directory if it doesn't exist
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destination_dir.mkdir(parents=True, exist_ok=True)
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destination_file_path = (
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destination_dir / f"processed_{Path(self.filepath).name}"
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)
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# copies the original file to the destination directory
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shutil.copy2(self.filepath, destination_file_path)
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# writes the processed metadata to the image in the destination directory
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with Image.open(destination_file_path) as img:
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exif_bytes = piexif.dump(self.processed_metadata)
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img.save(destination_file_path, exif=exif_bytes)
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test = ImageHandler(r"C:\Users\Xheri\development\testimage\20221201_090615.jpg")
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test.read()
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test.wipe()
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test.save()
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from abc import ABC, abstractmethod
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from typing import Any, Dict, Optional
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class MetadataHandler(ABC):
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def __init__(self, filepath: str):
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self.filepath = filepath
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self.metadata: Dict[str, Any] = {}
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self.processed_metadata: Dict[str, Any] = {}
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@abstractmethod
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def read(self) -> Dict[str, Any]:
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"""Extracts metadata into a standard dictionary."""
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pass
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@abstractmethod
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def wipe(self) -> None:
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"""Updates internal metadata state."""
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pass
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@abstractmethod
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def save(self, output_path: Optional[str] = None) -> None:
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"""Writes the changes to a file."""
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pass
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import piexif
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class JpegProcessaor:
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def __init__(self):
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self.tags_to_delete = []
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self.data = {}
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def get_metadata(self, img):
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if "exif" in img.info:
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exif_dict = piexif.load(img.info["exif"])
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for ifd, value in exif_dict.items():
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# this exclude thumbnail IFD (its the thumbnails blob data. it can be removed but the image will take a couple more seconds to load)
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if not isinstance(exif_dict[ifd], dict):
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continue
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# iterate through the IFD
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for tag, tag_value in exif_dict[ifd].items():
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tag_info = piexif.TAGS[ifd].get(tag, {})
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# Get the human-readable name for the tag
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tag_name = (
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tag_info.get("name", "Unknown Tag")
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if tag_info
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else "Unknown Tag"
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)
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# exculudes tags that are necessary for image display integrity
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if (
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tag_name == "Orientation"
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or tag_name == "ColorSpace"
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or tag_name == "ExifTag"
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):
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continue
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# save to list and dict
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self.tags_to_delete.append(tag)
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self.data[tag_name] = tag_value
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return {"data": self.data, "tags_to_delete": self.tags_to_delete}
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def delete_metadata(self, img, tags_to_delete):
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exif_dict = piexif.load(img.info["exif"])
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for ifd, value in exif_dict.items():
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# exclude thumbnail IFD (its the thumbnails blob data so i dont wanna deal with that)
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if not isinstance(exif_dict[ifd], dict):
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continue
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# iterate through and delete tags
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for tag in list(exif_dict[ifd]):
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if tag in tags_to_delete:
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del exif_dict[ifd][tag]
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return exif_dict
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