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import streamlit as st
import os
import time
import re
import requests
from PIL import Image
from io import BytesIO
from urllib.parse import quote
from openai import OpenAI

# ------------------ App Configuration ------------------
st.set_page_config(page_title="Schlaeger Forrestdale TechDocAIA", layout="wide", initial_sidebar_state="collapsed")
st.title("πŸ“„ Schlaeger Forrestdale Document Assistant")
st.caption("Explore City of Armadale construction documents using AI + OCR 🧠")

# ------------------ Load API Key and Assistant ID ------------------
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
ASSISTANT_ID = os.environ.get("ASSISTANT_ID")

if not OPENAI_API_KEY or not ASSISTANT_ID:
    st.error("❌ Missing secrets. Please set both OPENAI_API_KEY and ASSISTANT_ID in Hugging Face Space secrets.")
    st.stop()

client = OpenAI(api_key=OPENAI_API_KEY)

# ------------------ Session State Initialization ------------------
if "messages" not in st.session_state:
    st.session_state.messages = []
if "thread_id" not in st.session_state:
    st.session_state.thread_id = None
if "image_url" not in st.session_state:
    st.session_state.image_url = None
if "image_updated" not in st.session_state:
    st.session_state.image_updated = False
if "pending_prompt" not in st.session_state:
    st.session_state.pending_prompt = None

# ------------------ Sidebar ------------------
st.sidebar.header("ℹ️ Information")
if st.sidebar.button("🧹 Clear Chat"):
    st.session_state.messages = []
    st.session_state.thread_id = None
    st.session_state.image_url = None
    st.session_state.image_updated = False
    st.session_state.pending_prompt = None
    st.rerun()

show_image = st.sidebar.toggle("πŸ“‘ Show Page Image", value=True)

st.sidebar.subheader("πŸ“˜ Document Tools")
st.sidebar.markdown("Use the tools below to locate relevant clauses and actions:")

keyword = st.sidebar.text_input("Search by Keyword", placeholder="e.g. defects, WHS, delay")
if st.sidebar.button("πŸ”Ž Search Keyword") and keyword:
    st.session_state.pending_prompt = f"Find clauses or references related to: {keyword}"

section_options = [
    "Select a section...",
    "1. Formal Instrument of Contract",
    "2. Offer and Acceptance",
    "3. Key Personnel",
    "4. Contract Pricing",
    "5. Specifications",
    "6. WHS Policies",
    "7. Penalties and Delays",
    "8. Dispute Resolution",
    "9. Principal Obligations"
]
section_select = st.sidebar.selectbox("πŸ“„ Jump to Section", section_options)
if section_select != section_options[0]:
    st.session_state.pending_prompt = f"Summarize or list key points from section: {section_select}"

actions = [
    "Select an action...",
    "List all contractual obligations",
    "Summarize payment terms",
    "List WHS responsibilities",
    "Find delay-related penalties",
    "Extract dispute resolution steps"
]
action_select = st.sidebar.selectbox("βš™οΈ Common Contract Queries", actions)
if action_select != actions[0]:
    st.session_state.pending_prompt = action_select

# ------------------ Layout: Chat + Image ------------------
chat_col, image_col = st.columns([2, 1])

# ------------------ Chat Interface ------------------
with chat_col:
    st.markdown("### 🧠 Ask a Document-Specific Question")
    user_prompt = st.chat_input("Example: What is the defects liability period?")

    # Use pending prompt from sidebar if no new chat prompt
    if user_prompt:
        st.session_state.messages.append({"role": "user", "content": user_prompt})
    elif st.session_state.pending_prompt:
        st.session_state.messages.append({"role": "user", "content": st.session_state.pending_prompt})
        st.session_state.pending_prompt = None

    if st.session_state.messages and st.session_state.messages[-1]["role"] == "user":
        try:
            if st.session_state.thread_id is None:
                thread = client.beta.threads.create()
                st.session_state.thread_id = thread.id

            client.beta.threads.messages.create(
                thread_id=st.session_state.thread_id,
                role="user",
                content=st.session_state.messages[-1]["content"]
            )

            run = client.beta.threads.runs.create(
                thread_id=st.session_state.thread_id,
                assistant_id=ASSISTANT_ID
            )

            with st.spinner("πŸ€– Parsing and responding with referenced content..."):
                while True:
                    run_status = client.beta.threads.runs.retrieve(
                        thread_id=st.session_state.thread_id,
                        run_id=run.id
                    )
                    if run_status.status in ("completed", "failed", "cancelled"):
                        break
                    time.sleep(1)

            if run_status.status != "completed":
                st.error(f"⚠️ Assistant failed: {run_status.status}")
            else:
                messages = client.beta.threads.messages.list(thread_id=st.session_state.thread_id)
                for message in reversed(messages.data):
                    if message.role == "assistant":
                        assistant_reply = message.content[0].text.value
                        st.session_state.messages.append({"role": "assistant", "content": assistant_reply})

                        # Parse Document Reference and Page, then construct image URL with encoding
                        match = re.search(r'Document Reference:\s*(.*?),\s*Page\s*(\d+)', assistant_reply)
                        if match:
                            doc_name = match.group(1).strip()
                            page = int(match.group(2))
                            page_str = f"{page:04d}"
                            folder = quote(doc_name)
                            image_url = (
                                f"https://raw.githubusercontent.com/AndrewLORTech/c2ozschlaegerforrestdale/main/"
                                f"{folder}/{folder}_page_{page_str}.png"
                            )
                            st.session_state.image_url = image_url
                            st.session_state.image_updated = True
                        break

            st.rerun()
        except Exception as e:
            st.error(f"❌ Error: {e}")

    for msg in st.session_state.messages:
        with st.chat_message(msg["role"]):
            st.markdown(msg["content"], unsafe_allow_html=True)

# ------------------ Image Display ------------------
with image_col:
    if show_image and st.session_state.image_url:
        with st.spinner("Loading document preview..."):
            try:
                response = requests.get(st.session_state.image_url)
                response.raise_for_status()
                img = Image.open(BytesIO(response.content))
                st.image(img, caption="πŸ“„ OCR Page Image", use_container_width=True)
                st.session_state.image_updated = False
            except Exception as e:
                st.error(f"❗ Failed to load image: {e}")