src/streamlit_app.py

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

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

# Session state
if "image_data" not in st.session_state:
    st.session_state.image_data = None
if "input_mode" not in st.session_state:
    st.session_state.input_mode = "Camera"
if "camera_key" not in st.session_state:
    st.session_state.camera_key = str(uuid.uuid4())

# Choose input mode
st.radio("📸 Select Image Input Method:", ["Camera", "Upload"], key="input_mode", horizontal=True)

# Reset image
if st.button("🔁 Clear / Retake Photo"):
    st.session_state.image_data = None
    st.session_state.camera_key = str(uuid.uuid4())  # Reload webcam

# Input section
if st.session_state.image_data is None:
    if st.session_state.input_mode == "Camera":
        img_data = st.camera_input("📷 Capture the weight display", key=st.session_state.camera_key)
    else:
        img_data = st.file_uploader("📁 Upload an image of the weight display", type=["jpg", "jpeg", "png"])

    if img_data:
        st.session_state.image_data = img_data

# OCR and Display
if st.session_state.image_data:
    st.success("✅ Image received successfully!")
    image = Image.open(st.session_state.image_data)
    st.image(image, caption="📸 Snapshot", use_column_width=True)

    # Check image size
    if len(st.session_state.image_data.getvalue()) > 5 * 1024 * 1024:
        st.error("❌ Image too large (>5MB). Please try a smaller file.")
        st.stop()

    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 try again.")
    else:
        st.success(f"✅ Detected Weight: {weight} g (Confidence: {int(confidence)}%)")

        device_id = "BAL-001"
        image_url = ""  # Placeholder for now

        salesforce_url = (
            "https://autoweightlogger-dev-ed.my.salesforce-sites.com/"
            f"weight_logger_page?WeightInput={urllib.parse.quote(str(weight))}"
            f"&DeviceID={urllib.parse.quote(device_id)}&ImageURL={urllib.parse.quote(image_url)}"
        )

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

    if st.button("🔁 Retake / Upload Another"):
        st.session_state.image_data = None
        st.session_state.camera_key = str(uuid.uuid4())