What We Will build

git clone https://github.com/JeremyMorgan/Super-Image-Optimizer.git
cd Super-Image-Optimizer/imageoptimizer.app

# On macOS/Linux
python3 -m venv venv
source venv/bin/activate

# On Windows
python -m venv venv
venv\Scripts\activate

import logging
from flask import Blueprint, request, jsonify, send_file
import cv2
import numpy as np
import io
import imghdr
from werkzeug.utils import secure_filename
from PIL import Image

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

bp = Blueprint('main', __name__)

@bp.route('/upload', methods=['POST'])
def upload():
    """
    Handles the image upload request by validating the file, extracting the quality parameter,
    processing the image with OpenCV, and returning the compressed image as binary data.

    Returns:
        A Flask response with the processed image if successful.
    """
    # The image processing code follows...

def upload():
    if img is None:
        logger.error('Failed to decode image: %s', filename)
        return jsonify({'error': 'Failed to decode image'}), 400

    # Process the image with OpenCV
    _, buffer = cv2.imencode('.jpg', img, [int(cv2.IMWRITE_JPEG_QUALITY), quality])
    img_io = io.BytesIO(buffer)

    # Validate the processed image
    try:
        processed_img = Image.open(img_io)
        processed_img.verify()
    except (IOError, SyntaxError) as e:
        logger.error('Failed to process image: %s', e)
        return jsonify({'error': 'Failed to process image'}), 400

    # Reset the BytesIO object pointer to the beginning
    img_io.seek(0)

    # Return the processed image as binary data
    return send_file(img_io, mimetype='image/jpeg')

except Exception as e:
    logger.exception('An unexpected error occurred: %s', e)