import streamlit as st
st.set_page_config(page_title="AI Pathology Assistant", layout="wide", initial_sidebar_state="collapsed")

import os
import time
import re
import requests
from PIL import Image
from io import BytesIO
from openai import OpenAI

# ------------------ Authentication ------------------
VALID_USERS = {
    "andrew@lortechnologies.com": "Pass.123",
    "reubina.wadee@wits.ac.za": "Pass.123",
    "nicholasdc@c2group.com.au": "Pass.123",
    "dimitrije1171@gmail.com": "Pass.123",
    "nathmcg@gmail.com": "Pass.123",
    "marquerit.vdermerwe@nhls.ac.za": "Pass.123",
}

def login():
    st.title("🔐 Login Required")
    email = st.text_input("Email")
    password = st.text_input("Password", type="password")
    if st.button("Login"):
        if VALID_USERS.get(email) == password:
            st.session_state["authenticated"] = True
            st.experimental_set_query_params(logged_in="1")
            st.rerun()
        else:
            st.error("❌ Incorrect email or password.")

if not st.session_state.get("authenticated", False):
    login()
    st.stop()

# ------------------ App Title ------------------
st.title("🧬 AI Pathology Assistant")

# ------------------ Load OpenAI ------------------
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
if not OPENAI_API_KEY:
    st.error("❌ Missing OPENAI_API_KEY environment variable.")
    st.stop()

client = OpenAI(api_key=OPENAI_API_KEY)

# ------------------ Assistant Setup ------------------
ASSISTANT_ID = "asst_jXDSjCG8LI4HEaFEcjFVq8KB"

# ------------------ Session State Initialization ------------------
for key in ["messages", "thread_id", "image_urls", "pending_prompt", "image_url", "image_updated"]:
    if key not in st.session_state:
        st.session_state[key] = [] if key.endswith("s") else None if "url" in key else False

# ------------------ Tabs ------------------
show_tab2 = True  # Set to True to activate visual tab
if show_tab2:
    tab1, tab2 = st.tabs(["💬 Chat Assistant", "📷 Visual Reference Search"])
else:
    tab1 = st.tabs(["💬 Chat Assistant"])[0]
    tab2 = None

# ------------------ Tab 1: Chat Assistant ------------------
with tab1:
    with st.sidebar:
        st.header("🧪 Pathology Tools")

        if st.button("🧹 Clear Chat"):
            for k in ["messages", "thread_id", "image_urls", "pending_prompt"]:
                st.session_state[k] = [] if k.endswith("s") else None
            st.rerun()

        show_image = st.toggle("📸 Show Images", value=True)

        keyword = st.text_input("Keyword Search", placeholder="e.g. mitosis, carcinoma")
        if st.button("🔎 Search") and keyword:
            st.session_state.pending_prompt = f"Find clauses or references related to: {keyword}"

        section = st.text_input("Section Lookup", placeholder="e.g. Connective Tissue")
        if section:
            st.session_state.pending_prompt = f"Summarize or list key points from section: {section}"

        action = st.selectbox("Common Pathology Queries", [
            "Select an action...",
            "List histological features of inflammation",
            "Summarize features of carcinoma",
            "List muscle types and features",
            "Extract diagnostic markers",
            "Summarize embryology stages"
        ])
        if action != "Select an action...":
            st.session_state.pending_prompt = action

    chat_col, image_col = st.columns([2, 1])

    with chat_col:
        st.markdown("### 💬 Ask a Pathology-Specific Question")
        user_input = st.chat_input("Example: What are features of squamous cell carcinoma?")

        if user_input:
            st.session_state.messages.append({"role": "user", "content": user_input})
        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

        # Only trigger assistant if last message is from user
        if st.session_state.messages and st.session_state.messages[-1]["role"] == "user":
            try:
                with st.spinner("🔬 Analyzing..."):
                    if not st.session_state.thread_id:
                        st.session_state.thread_id = client.beta.threads.create().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
                    )

                    # Wait for run to complete
                    while True:
                        status = client.beta.threads.runs.retrieve(
                            thread_id=st.session_state.thread_id,
                            run_id=run.id
                        )
                        if status.status in ("completed", "failed", "cancelled"):
                            break
                        time.sleep(1)

                    if status.status == "completed":
                        responses = client.beta.threads.messages.list(
                            thread_id=st.session_state.thread_id
                        ).data

                        # Only take the last assistant message
                        for m in responses:
                            if m.role == "assistant":
                                reply = m.content[0].text.value.strip()
                                if not any(
                                    reply in msg["content"] or msg["content"] in reply
                                    for msg in st.session_state.messages if msg["role"] == "assistant"
                                ):
                                    st.session_state.messages.append({"role": "assistant", "content": reply})

                                    # Extract image URLs
                                    images = re.findall(
                                        r'https://raw\.githubusercontent\.com/AndrewLORTech/witspathologai/main/[^\s\n"]+\.png',
                                        reply
                                    )
                                    st.session_state.image_urls = images
                                break
                    else:
                        st.error("❌ Assistant failed to complete.")
                st.rerun()
            except Exception as e:
                st.error(f"❌ Error: {e}")

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

        # Follow-up Questions
        if st.session_state.messages and st.session_state.messages[-1]["role"] == "assistant":
            last = st.session_state.messages[-1]["content"]
            if "Some Possible Questions:" in last:
                suggestions = re.findall(r"[-•]\s*(.*)", last)
                questions = [q.strip() for q in suggestions if q.strip().endswith("?")]

                if questions:
                    st.markdown("#### 💡 Follow-Up Suggestions")
                    for q in questions:
                        if st.button(f"📌 {q}"):
                            st.session_state.pending_prompt = q
                            st.rerun()
                else:
                    st.markdown("#### 💡 No follow-up questions detected in the assistant's response.")

    with image_col:
        if show_image and st.session_state.image_urls:
            st.markdown("### 🖼️ Images")
            for url in st.session_state.image_urls:
                try:
                    img = Image.open(BytesIO(requests.get(url, timeout=5).content))
                    st.image(img, caption=url.split("/")[-1], use_container_width=True)
                except Exception:
                    st.warning(f"⚠️ Failed to load image: {url}")


# ------------------ Tab 2: Visual Reference Search ------------------
import urllib.parse
import requests
from PIL import Image
from io import BytesIO

with tab2:
    ASSISTANT_ID = "asst_9v09zgizdcuuhNdcFQpRo9RO"

    if "image_thread_id" not in st.session_state:
        st.session_state.image_thread_id = None
    if "image_response" not in st.session_state:
        st.session_state.image_response = None
    if "image_results" not in st.session_state:
        st.session_state.image_results = []
    if "image_lightbox" not in st.session_state:
        st.session_state.image_lightbox = None

    image_input = st.chat_input("Ask for histology visual references (e.g. ovary histology, mitosis)")
    if image_input:
        st.session_state.image_response = None
        st.session_state.image_results = []
        st.session_state.image_lightbox = None

        try:
            if st.session_state.image_thread_id is None:
                thread = client.beta.threads.create()
                st.session_state.image_thread_id = thread.id

            client.beta.threads.messages.create(
                thread_id=st.session_state.image_thread_id,
                role="user",
                content=image_input
            )

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

            with st.spinner("🔬 Searching for histology references..."):
                while True:
                    run_status = client.beta.threads.runs.retrieve(
                        thread_id=st.session_state.image_thread_id,
                        run_id=run.id
                    )
                    if run_status.status in ("completed", "failed", "cancelled"):
                        break
                    time.sleep(1)

            if run_status.status == "completed":
                messages = client.beta.threads.messages.list(thread_id=st.session_state.image_thread_id)
                for msg in reversed(messages.data):
                    if msg.role == "assistant":
                        response_text = msg.content[0].text.value
                        st.session_state.image_response = response_text

                        # Extract and decode image URLs
                        lines = response_text.splitlines()
                        image_urls = []
                        expecting_url = False

                        for line in lines:
                            line_clean = line.strip().replace("**", "")
                            if "Image URL:" in line_clean:
                                parts = line_clean.split("Image URL:")
                                if len(parts) > 1 and parts[1].strip().startswith("http"):
                                    image_urls.append(urllib.parse.unquote(parts[1].strip()))
                                else:
                                    expecting_url = True
                            elif expecting_url:
                                if line_clean.startswith("http"):
                                    image_urls.append(urllib.parse.unquote(line_clean))
                                expecting_url = False

                        st.session_state.image_results = [{"image": url} for url in image_urls]

                        if image_urls and not st.session_state.image_lightbox:
                            st.session_state.image_lightbox = image_urls[0]
                        break
        except Exception as e:
            st.error(f"❌ Visual Assistant Error: {e}")

    if st.session_state.image_results and st.session_state.image_response:
        st.subheader("🖼️ Image Preview(s)")

        # Split the assistant response into metadata cards
        cards = []
        blocks = st.session_state.image_response.split("### 🖼️ ")
        for block in blocks:
            if not block.strip():
                continue
            lines = block.strip().splitlines()
            title = lines[0].strip()
            meta = "\n".join(lines[1:])
            cards.append((title, meta))

        cols = st.columns(4)
        for i, ((title, meta), item) in enumerate(zip(cards, st.session_state.image_results)):
            image_url = item.get("image")
            with cols[i % 4]:
                with st.container():
                    # Remove Image Filename and Image URL lines from display
                    meta_clean = "\n".join(
                        line for line in meta.splitlines()
                        if all(x not in line.lower() for x in ["image filename", "image url"])
                    )

                    st.markdown(f"**🔬 {title}**")
                    st.caption(meta_clean)
                    try:
                        r = requests.get(image_url, timeout=10)
                        r.raise_for_status()
                        img = Image.open(BytesIO(r.content))
                        st.image(img, caption=image_url.split("/")[-1], use_container_width=True)
                        if st.button("🔍 Zoom", key=f"zoom_{i}"):
                            st.session_state.image_lightbox = image_url
                    except Exception as e:
                        st.warning("⚠️ Could not load image.")
                        st.error(str(e))
    else:
        st.info("ℹ️ No image references found yet.")

    if st.session_state.image_lightbox:
        st.markdown("### 🔬 Full Image View")
        try:
            img_url = urllib.parse.unquote(st.session_state.image_lightbox)
            r = requests.get(img_url, timeout=10)
            r.raise_for_status()
            full_img = Image.open(BytesIO(r.content))
            st.image(full_img, caption=img_url.split("/")[-1], use_container_width=True)
        except Exception as e:
            st.warning("⚠️ Could not load full image.")
            st.error(str(e))
        if st.button("❌ Close Preview"):
            st.session_state.image_lightbox = None
            st.rerun()