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utils/__init__.py
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from .image_utils import resize_image, save_uploaded_image, validate_image
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__all__ = ["validate_image", "save_uploaded_image", "resize_image"]
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utils/__pycache__/__init__.cpython-311.pyc
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Binary file (332 Bytes). View file
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utils/__pycache__/image_utils.cpython-311.pyc
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Binary file (5.39 kB). View file
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utils/image_utils.py
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import io
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import os
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import uuid
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from PIL import Image
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def validate_image(file_object, allowed_extensions=None):
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"""
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Validate an uploaded image file
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Args:
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file_object: The uploaded file object (Streamlit's UploadedFile)
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allowed_extensions (list, optional): List of allowed file extensions.
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Defaults to ['.jpg', '.jpeg', '.png', '.bmp', '.gif'].
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Returns:
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bool: True if valid, False otherwise
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"""
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if allowed_extensions is None:
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allowed_extensions = [".jpg", ".jpeg", ".png", ".bmp", ".gif"]
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# Check if file exists
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if file_object is None:
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return False
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# Get filename
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filename = file_object.name
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# Check file extension
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file_ext = os.path.splitext(filename)[1].lower()
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if file_ext not in allowed_extensions:
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return False
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try:
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# Try opening the image to verify it's valid
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image = Image.open(file_object)
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image.verify()
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# Reset file position
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file_object.seek(0)
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return True
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except Exception as e:
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print(f"Image validation error: {e}")
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return False
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def save_uploaded_image(file_object, upload_folder):
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"""
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Save an uploaded image to disk with a unique filename
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Args:
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file_object: The uploaded file object (Streamlit's UploadedFile)
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upload_folder (str): The folder to save the image to
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Returns:
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str: The path to the saved image or None if failed
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"""
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if file_object is None:
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return None
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try:
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# Reset file pointer to beginning
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file_object.seek(0)
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# Read file content
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contents = file_object.read()
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# Create a unique filename
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file_ext = os.path.splitext(file_object.name)[1].lower()
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unique_filename = f"{uuid.uuid4().hex}{file_ext}"
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# Make sure the upload folder exists
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os.makedirs(upload_folder, exist_ok=True)
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# Define the full file path
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file_path = os.path.join(upload_folder, unique_filename)
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# Save the file
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with open(file_path, "wb") as f:
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f.write(contents)
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# Verify the saved file can be opened
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try:
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with Image.open(file_path) as test_img:
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# Just test that it can be opened
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test_img.verify()
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except Exception as e:
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print(f"Verification of saved image failed: {e}")
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# Try an alternative approach to save the file
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img = Image.open(io.BytesIO(contents))
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img.save(file_path)
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return file_path
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except Exception as e:
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print(f"Error saving file: {e}")
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return None
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def resize_image(image, max_size=(800, 800)):
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"""
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Resize an image while maintaining aspect ratio
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Args:
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image (PIL.Image.Image or str): Image to resize or path to image
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max_size (tuple, optional): Maximum width and height. Defaults to (800, 800).
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Returns:
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PIL.Image.Image: Resized image
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"""
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# Handle image input - could be a file path or PIL Image
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if isinstance(image, str):
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try:
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# Explicitly use 'RGB' mode to ensure proper color handling
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image = Image.open(image).convert("RGB")
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except Exception as e:
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raise ValueError(f"Could not open image file: {str(e)}")
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# Get original dimensions
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width, height = image.size
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# Check if resize is needed
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if width <= max_size[0] and height <= max_size[1]:
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return image
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# Calculate new dimensions
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if width > height:
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new_width = max_size[0]
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new_height = int(height * (max_size[0] / width))
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else:
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new_height = max_size[1]
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new_width = int(width * (max_size[1] / height))
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# Resize and return
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return image.resize((new_width, new_height), Image.LANCZOS)
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