import streamlit as st
from PIL import Image, ImageEnhance
import pandas as pd
import numpy as np
import io
import os

def zoom_at(img, x, y, zoom):
    w, h = img.size
    zoom2 = zoom * 2
    img = img.crop((x - w / zoom2, y - h / zoom2,
                    x + w / zoom2, y + h / zoom2))
    return img.resize((w, h), Image.LANCZOS)

st.set_page_config(page_title="Cell Explorer", layout="wide")
st.title("CLL Explorer - Annotation Tool")

st.markdown("""
### About This Application
This tool assists researchers in analyzing microscope images of blood cells for malaria detection:
- **Upload** microscope images.
- **Adjust** image view with zoom and enhancement controls.
- **Detect** and measure cells automatically.
- **Save** analysis results and annotations.
""")

uploaded_files = st.file_uploader("Upload Images", accept_multiple_files=True, type=["jpg", "png"])

if uploaded_files:
    img_index = st.selectbox("Select Image", range(len(uploaded_files)), format_func=lambda x: uploaded_files[x].name)
    img_data = uploaded_files[img_index].read()
    img = Image.open(io.BytesIO(img_data)).resize((500, 500))

    col1, col2 = st.columns([3, 2])

    with col1:
        st.image(img, caption="Uploaded Image", use_column_width=True)

    with col2:
        st.subheader("Image Controls")
        x = st.slider("X Coordinate", 0, 500, 250)
        y = st.slider("Y Coordinate", 0, 500, 250)
        zoom = st.slider("Zoom", 1, 10, 5)

        with st.expander("Enhancement Settings"):
            contrast = st.slider("Contrast", 0.0, 5.0, 1.0)
            brightness = st.slider("Brightness", 0.0, 5.0, 1.0)
            sharpness = st.slider("Sharpness", 0.0, 2.0, 1.0)

    processed_col, actions_col = st.columns([3, 2])

    with processed_col:
        img_zoomed = zoom_at(img, x, y, zoom)
        img_contrast = ImageEnhance.Contrast(img_zoomed).enhance(contrast)
        img_bright = ImageEnhance.Brightness(img_contrast).enhance(brightness)
        img_sharp = ImageEnhance.Sharpness(img_bright).enhance(sharpness)
        st.image(img_sharp, caption="Processed Image", use_column_width=True)

    with actions_col:
        save_image = st.checkbox("Save Image")
        if save_image:
            img_sharp.save("image-processed.jpg")
            st.success("Image saved as `image-processed.jpg`")

        with st.expander("Save Options"):
            description = st.text_area("Describe the image", "")
            if st.button("Save Description"):
                with open("saved_image_description.txt", "w") as f:
                    f.write(description)
                st.success("Description saved as `saved_image_description.txt`")

            if st.button("Save Image Parameters"):
                params = {
                    "coordinates_x": x,
                    "coordinates_y": y,
                    "zoom": zoom,
                    "contrast": contrast,
                    "brightness": brightness,
                    "sharpness": sharpness
                }
                with open("saved_image_parameters.json", "w") as f:
                    f.write(pd.DataFrame([params]).to_json(orient="records"))
                st.success("Image parameters saved as `saved_image_parameters.json`")

            if st.button("Rename Files"):
                file_ext = str(np.random.randint(100))
                os.rename("image-processed.jpg", f"img_processed{file_ext}.jpg")
                os.rename("saved_image_parameters.json", f"saved_image_parameters{file_ext}.json")
                os.rename("saved_image_description.txt", f"saved_image_description{file_ext}.txt")
                st.success("Files renamed successfully")