import streamlit as st
from PIL import Image
from ocr_engine import extract_weight_from_image
import urllib.parse
from datetime import datetime

st.set_page_config(page_title="⚖️ Auto Weight Logger", layout="centered")
st.title("⚖️ Auto Weight Logger")

img_data = st.camera_input("📷 Capture the weight display")

if img_data:
    st.success("✅ Image captured successfully!")

    if len(img_data.getvalue()) > 5 * 1024 * 1024:
        st.error("❌ Image too large (>5MB). Please try again.")
        st.stop()

    image = Image.open(img_data)
    st.image(image, caption="📸 Snapshot", use_column_width=True)

    with st.spinner("🔍 Extracting weight..."):
        weight, confidence = extract_weight_from_image(image)

    st.write(f"🛠️ DEBUG: weight = {weight}, confidence = {confidence}")

    if not weight or confidence < 80:
        st.error(f"⚠️ OCR confidence too low ({int(confidence)}%). Please retake the image.")
        if st.button("🔁 Try Again"):
            st.experimental_rerun()
        st.stop()

    # ✅ Prepare data for preview and URL
    device_id = "BAL-001"
    image_url = ""  # optional - add later if you host the image
    captured_at = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    status = "Pending Submission"

    # ✅ Show full preview
    st.markdown("### 📋 Record Preview (before sending to Salesforce)")
    st.write({
        "Auto Number": "Will be generated in Salesforce",
        "Captured Weight": f"{weight} g",
        "Captured At": captured_at,
        "Snapshot Image": "Attached" if image_url else "Not available",
        "Device ID": device_id,
        "Status": status
    })

    # ✅ Encode for Salesforce
    encoded_weight = urllib.parse.quote(str(weight))
    encoded_device = urllib.parse.quote(device_id)
    encoded_image_url = urllib.parse.quote(image_url)

    salesforce_url = (
        f"https://autoweightlogger-dev-ed.my.salesforce-sites.com/"
        f"weight_logger_page?WeightInput={encoded_weight}&DeviceID={encoded_device}&ImageURL={encoded_image_url}"
    )

    # ✅ Show Salesforce link
    st.markdown("### 📤 Send to Salesforce")
    st.markdown(f"[✅ Click here to confirm and log in Salesforce]({salesforce_url})", unsafe_allow_html=True)