import streamlit as st
import os
import zipfile
from PIL import Image


def crop_image(image, left_mm, right_mm):
    """
    Crop the image from both the left and right sides.

    Args:
        image (PIL.Image.Image): The input image.
        left_mm (float): The amount to crop from the left side in millimeters.
        right_mm (float): The amount to crop from the right side in millimeters.

    Returns:
        PIL.Image.Image: The cropped image.
    """
    # Calculate the cropping width in pixels based on image DPI
    dpi = image.info.get("dpi", 72)
    width_mm = image.width * 25.4 / dpi
    cropping_width = int((left_mm + right_mm) * image.width / width_mm)

    # Calculate the left and right cropping boundaries
    left_crop = int(left_mm * image.width / width_mm)
    right_crop = image.width - int(right_mm * image.width / width_mm)

    # Crop the image
    cropped_image = image.crop((left_crop, 0, right_crop, image.height))

    return cropped_image


def main():
    st.title("Batch Image Cropper")

    # Upload multiple image files
    uploaded_files = st.file_uploader("Upload image files", type=["jpg", "jpeg", "png"], accept_multiple_files=True)

    if uploaded_files is not None:
        col1, col2 = st.columns(2)

        with col1:
            left_mm = st.number_input("Crop from left (mm)", min_value=0.0, value=0.0, step=0.1)
        with col2:
            right_mm = st.number_input("Crop from right (mm)", min_value=0.0, value=0.0, step=0.1)

        # Create a container to hold the cropped images
        images_container = st.empty()

        # Process each uploaded image file
        cropped_images = []
        for uploaded_file in uploaded_files:
            # Open the image file
            image = Image.open(uploaded_file)

            # Crop the image
            cropped_image = crop_image(image, left_mm, right_mm)
            cropped_images.append(cropped_image)

        # Display the original and cropped images side by side
        col_width = 300
        num_images = len(uploaded_files)
        num_columns = 2
        num_rows = (num_images + 1) // num_columns
        for row in range(num_rows):
            cols = st.columns(num_columns)
            for col in range(num_columns):
                index = row * num_columns + col
                if index < num_images:
                    cols[col].subheader(f"Image {index+1}")
                    cols[col].image(uploaded_files[index], caption="Original Image", width=col_width)
                    cols[col].image(cropped_images[index], caption="Cropped Image", width=col_width)

        # Save all cropped images
        if st.button("Save All"):
            zip_filename = "cropped_images.zip"
            with zipfile.ZipFile(zip_filename, "w") as zipf:
                for i, cropped_image in enumerate(cropped_images):
                    filename, ext = os.path.splitext(uploaded_files[i].name)
                    cropped_filename = f"cropped_{filename}.png"
                    cropped_image.save(cropped_filename)
                    zipf.write(cropped_filename)
                    os.remove(cropped_filename)
            st.success(f"All cropped images saved successfully as {zip_filename}")


if __name__ == "__main__":
    main()