import streamlit as st
import requests
import uuid
import os
import json
from pathlib import Path
from dotenv import load_dotenv

# --- CONFIGURATION ---
load_dotenv()
API_BASE_URL = os.getenv("MINDNET_API_URL", "http://localhost:8002")
CHAT_ENDPOINT = f"{API_BASE_URL}/chat"
FEEDBACK_ENDPOINT = f"{API_BASE_URL}/feedback"
HISTORY_FILE = Path("data/logs/search_history.jsonl")

# Timeout Strategy
timeout_setting = os.getenv("MINDNET_API_TIMEOUT") or os.getenv("MINDNET_LLM_TIMEOUT")
API_TIMEOUT = float(timeout_setting) if timeout_setting else 300.0

# --- PAGE SETUP ---
st.set_page_config(page_title="mindnet v2.3.1", page_icon="🧠", layout="wide")

# --- CSS STYLING ---
st.markdown("""
<style>
    /* Hauptcontainer enger machen für Lesbarkeit */
    .block-container { padding-top: 2rem; max_width: 900px; margin: auto; }
    
    /* Intent Badges */
    .intent-badge {
        background-color: #e8f0fe; color: #1a73e8;
        padding: 4px 10px; border-radius: 12px;
        font-size: 0.8rem; font-weight: 600;
        border: 1px solid #d2e3fc; display: inline-block; margin-bottom: 0.5rem;
    }
    
    /* Chat Message Styling */
    .stChatMessage { padding: 1rem; border-radius: 8px; margin-bottom: 1rem;}
    div[data-testid="stChatMessageContent"] p { font-size: 1.05rem; line-height: 1.6; }
    
    /* Expander Cleaner */
    .streamlit-expanderHeader { font-size: 0.9rem; font-weight: 600; color: #444; }
</style>
""", unsafe_allow_html=True)

# --- SESSION STATE ---
if "messages" not in st.session_state: st.session_state.messages = []
if "user_id" not in st.session_state: st.session_state.user_id = str(uuid.uuid4())
if "draft_note" not in st.session_state: st.session_state.draft_note = {"title": "", "content": "", "type": "concept"}

# --- HELPER FUNCTIONS ---

def load_history_from_logs(limit=10):
    """Liest die letzten N Queries aus dem Logfile."""
    queries = []
    if HISTORY_FILE.exists():
        try:
            with open(HISTORY_FILE, "r", encoding="utf-8") as f:
                lines = f.readlines()
                for line in reversed(lines):
                    try:
                        entry = json.loads(line)
                        q = entry.get("query_text")
                        if q and q not in queries:
                            queries.append(q)
                        if len(queries) >= limit: break
                    except: continue
        except Exception as e:
            st.sidebar.warning(f"Log-Fehler: {e}")
    return queries

def send_chat_message(message: str, top_k: int, explain: bool):
    try:
        response = requests.post(
            CHAT_ENDPOINT, 
            json={"message": message, "top_k": top_k, "explain": explain}, 
            timeout=API_TIMEOUT
        )
        response.raise_for_status()
        return response.json()
    except Exception as e:
        return {"error": str(e)}

def submit_feedback(query_id, node_id, score, comment=None):
    try:
        requests.post(FEEDBACK_ENDPOINT, json={"query_id": query_id, "node_id": node_id, "score": score, "comment": comment}, timeout=2)
        target = "Antwort" if node_id == "generated_answer" else "Quelle"
        st.toast(f"Feedback für {target} gespeichert! (Score: {score})")
    except: pass

# --- UI COMPONENTS ---

def render_sidebar():
    with st.sidebar:
        st.title("🧠 mindnet")
        st.caption("v2.3.1 | WP-10 UI")
        
        mode = st.radio("Modus", ["💬 Chat", "📝 Neuer Eintrag (WP-07)"], index=0)
        
        st.divider()
        st.subheader("⚙️ Settings")
        top_k = st.slider("Quellen (Top-K)", 1, 10, 5)
        explain = st.toggle("Explanation Layer", True)
        
        st.divider()
        st.subheader("🕒 Verlauf")
        history = load_history_from_logs(8)
        if not history:
            st.caption("Noch keine Einträge.")
        for q in history:
            if st.button(f"🔎 {q[:30]}...", key=f"hist_{q}", help=q, use_container_width=True):
                st.session_state.messages.append({"role": "user", "content": q})
                st.rerun()

    return mode, top_k, explain

def render_chat_interface(top_k, explain):
    # Render History
    for msg in st.session_state.messages:
        with st.chat_message(msg["role"]):
            if msg["role"] == "assistant":
                # Intent Badge MIT SOURCE (Fix für Debugging)
                if "intent" in msg:
                    icon = {"EMPATHY": "❤️", "DECISION": "⚖️", "CODING": "💻", "FACT": "📚"}.get(msg["intent"], "🧠")
                    source_info = msg.get("intent_source", "Unknown")
                    # Hier wird die Quelle wieder angezeigt:
                    st.markdown(f'<div class="intent-badge">{icon} Intent: {msg["intent"]} <span style="opacity:0.6; font-size: 0.9em; margin-left:5px;">via {source_info}</span></div>', unsafe_allow_html=True)
                
                st.markdown(msg["content"])
                
                # Sources
                if "sources" in msg:
                    for hit in msg["sources"]:
                        score = hit.get('total_score', 0)
                        icon = "🟢" if score > 0.8 else "🟡" if score > 0.5 else "⚪"
                        with st.expander(f"{icon} {hit.get('note_id', '?')} ({score:.2f})"):
                            st.markdown(f"_{hit.get('source', {}).get('text', '')[:300]}..._")
                            if hit.get('explanation'):
                                st.caption(f"Grund: {hit['explanation']['reasons'][0]['message']}")
                            
                            # Granular Feedback (Faces)
                            def _cb(qid=msg["query_id"], nid=hit['node_id']):
                                val = st.session_state.get(f"fb_src_{qid}_{nid}")
                                if val is not None: submit_feedback(qid, nid, val+1, "Faces UI")
                            
                            st.feedback("faces", key=f"fb_src_{msg['query_id']}_{hit['node_id']}", on_change=_cb)
                
                # Global Feedback (Stars)
                qid = msg["query_id"]
                st.feedback("stars", key=f"fb_glob_{qid}", on_change=lambda: submit_feedback(qid, "generated_answer", st.session_state[f"fb_glob_{qid}"]+1))

            else:
                st.markdown(msg["content"])

    # Input Logic
    last_msg_is_user = len(st.session_state.messages) > 0 and st.session_state.messages[-1]["role"] == "user"
    
    if prompt := st.chat_input("Frage Mindnet..."):
        st.session_state.messages.append({"role": "user", "content": prompt})
        st.rerun()
        
    if last_msg_is_user:
        last_prompt = st.session_state.messages[-1]["content"]
        with st.chat_message("assistant"):
            with st.spinner("Thinking..."):
                resp = send_chat_message(last_prompt, top_k, explain)
            
            if "error" in resp:
                st.error(resp["error"])
            else:
                msg_data = {
                    "role": "assistant",
                    "content": resp.get("answer"),
                    "intent": resp.get("intent", "FACT"),
                    "intent_source": resp.get("intent_source", "Unknown"), # Wichtig für Anzeige
                    "sources": resp.get("sources", []),
                    "query_id": resp.get("query_id")
                }
                st.session_state.messages.append(msg_data)
                st.rerun()

def render_creation_interface():
    st.header("📝 Neuer Wissens-Eintrag (WP-07/11)")
    st.info("Hier kannst du strukturierte Notizen erstellen, die direkt in den Obsidian Vault gespeichert werden.")
    
    with st.form("new_entry"):
        col1, col2 = st.columns([3, 1])
        title = col1.text_input("Titel der Notiz", placeholder="z.B. Projekt Gamma Meeting")
        n_type = col2.selectbox("Typ", ["concept", "meeting", "person", "project", "decision"])
        
        content = st.text_area("Inhalt (Markdown)", height=300, placeholder="# Protokoll\n\n- Punkt 1...")
        
        st.markdown("**Automatische Vernetzung:**")
        st.caption("Verwende `[[Link]]` für Referenzen und `[[rel:depends_on X]]` für logische Kanten.")
        
        submitted = st.form_submit_button("💾 Speichern & Indizieren")
        if submitted:
            st.success(f"Mockup: Notiz '{title}' ({n_type}) wäre jetzt gespeichert worden!")
            st.balloons()

# --- MAIN LOOP ---
mode, top_k, explain = render_sidebar()

if mode == "💬 Chat":
    render_chat_interface(top_k, explain)
else:
    render_creation_interface()