import streamlit as st
import requests
import uuid
import os
import json
import re
import yaml
from datetime import datetime
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 v2.3.2", page_icon="🧠", layout="wide")

# --- CSS STYLING ---
st.markdown("""
<style>
    .block-container { padding-top: 2rem; max_width: 1000px; margin: auto; }
    
    .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;
    }
    
    .draft-box {
        border: 1px solid #d0d7de;
        border-radius: 6px;
        padding: 16px;
        background-color: #f6f8fa;
        margin-top: 10px;
        margin-bottom: 10px;
    }
    
    .preview-box {
        border: 1px solid #e0e0e0;
        border-radius: 6px;
        padding: 24px;
        background-color: white;
        font-family: -apple-system,BlinkMacSystemFont,"Segoe UI",Helvetica,Arial,sans-serif;
    }
    
    .debug-info {
        font-size: 0.7rem;
        color: #888;
        margin-bottom: 5px;
    }
</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())

# --- HELPER FUNCTIONS ---

def normalize_meta_and_body(meta, body):
    """
    Sanitizer: Stellt sicher, dass nur erlaubte Felder im Frontmatter bleiben.
    Alles andere wird in den Body verschoben (Repair-Strategie).
    """
    ALLOWED_KEYS = {"title", "type", "status", "tags", "id", "created", "updated", "aliases", "lang"}
    
    clean_meta = {}
    extra_content = []
    
    # 1. Title/Titel Normalisierung
    if "titel" in meta and "title" not in meta:
        meta["title"] = meta.pop("titel")
        
    # 2. Tags Normalisierung (Synonyme)
    tag_candidates = ["tags", "emotionale_keywords", "keywords", "schluesselwoerter"]
    all_tags = []
    for key in tag_candidates:
        if key in meta:
            val = meta[key]
            if isinstance(val, list): all_tags.extend(val)
            elif isinstance(val, str): all_tags.extend([t.strip() for t in val.split(",")])
    
    # 3. Filterung und Verschiebung
    for key, val in meta.items():
        if key in ALLOWED_KEYS:
            clean_meta[key] = val
        elif key in tag_candidates:
            pass # Schon oben behandelt
        else:
            # Unerlaubtes Feld (z.B. 'situation') -> Ab in den Body!
            if val and isinstance(val, str):
                header = key.replace("_", " ").title()
                extra_content.append(f"## {header}\n{val}\n")

    if all_tags:
        clean_meta["tags"] = list(set(all_tags))

    # 4. Body Zusammenbau
    if extra_content:
        new_section = "\n".join(extra_content)
        final_body = f"{new_section}\n{body}"
    else:
        final_body = body
        
    return clean_meta, final_body

def parse_markdown_draft(full_text):
    """
    Robustes Parsing + Sanitization.
    """
    clean_text = full_text
    
    # Codeblock entfernen
    pattern_block = r"```(?:markdown|md)?\s*(.*?)\s*```"
    match_block = re.search(pattern_block, full_text, re.DOTALL | re.IGNORECASE)
    if match_block:
        clean_text = match_block.group(1).strip()

    # Frontmatter splitten
    parts = re.split(r"^---+\s*$", clean_text, maxsplit=2, flags=re.MULTILINE)
    
    meta = {}
    body = clean_text

    if len(parts) >= 3:
        yaml_str = parts[1]
        body_candidate = parts[2]
        try:
            parsed = yaml.safe_load(yaml_str)
            if isinstance(parsed, dict):
                meta = parsed
                body = body_candidate.strip()
        except Exception:
            pass 
    
    return normalize_meta_and_body(meta, body)

def build_markdown_doc(meta, body):
    """Baut das finale Dokument zusammen."""
    if "id" not in meta or meta["id"] == "generated_on_save":
        safe_title = re.sub(r'[^a-zA-Z0-9]', '-', meta.get('title', 'note')).lower()[:30]
        meta["id"] = f"{datetime.now().strftime('%Y%m%d')}-{safe_title}-{uuid.uuid4().hex[:4]}"
    
    meta["updated"] = datetime.now().strftime("%Y-%m-%d")
    
    # Sortierung für UX
    ordered_meta = {}
    prio_keys = ["id", "type", "title", "status", "tags"]
    for k in prio_keys:
        if k in meta: ordered_meta[k] = meta.pop(k)
    ordered_meta.update(meta)

    try:
        yaml_str = yaml.dump(ordered_meta, default_flow_style=None, sort_keys=False, allow_unicode=True).strip()
    except:
        yaml_str = "error: generating_yaml"
        
    return f"---\n{yaml_str}\n---\n\n{body}"

def load_history_from_logs(limit=10):
    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: pass
    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)
        st.toast(f"Feedback ({score}) gesendet!")
    except: pass

# --- UI COMPONENTS ---

def render_sidebar():
    with st.sidebar:
        st.title("🧠 mindnet")
        st.caption("v2.3.2 | WP-10 UI")
        mode = st.radio("Modus", ["💬 Chat", "📝 Manueller Editor"], 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")
        for q in load_history_from_logs(8):
            if st.button(f"🔎 {q[:25]}...", key=f"hist_{q}", use_container_width=True):
                st.session_state.messages.append({"role": "user", "content": q})
                st.rerun()
    return mode, top_k, explain

def render_draft_editor(msg):
    qid = msg.get('query_id', str(uuid.uuid4()))
    key_base = f"draft_{qid}"
    
    # 1. Init
    if f"{key_base}_init" not in st.session_state:
        meta, body = parse_markdown_draft(msg["content"])
        
        st.session_state[f"{key_base}_type"] = meta.get("type", "default")
        st.session_state[f"{key_base}_title"] = meta.get("title", "")
        
        tags_raw = meta.get("tags", [])
        st.session_state[f"{key_base}_tags"] = ", ".join(tags_raw) if isinstance(tags_raw, list) else str(tags_raw)
        
        st.session_state[f"{key_base}_body"] = body.strip()
        st.session_state[f"{key_base}_meta"] = meta 
        st.session_state[f"{key_base}_init"] = True

    # 2. UI
    st.markdown(f'<div class="draft-box">', unsafe_allow_html=True)
    st.markdown("### 📝 Entwurf bearbeiten")
    
    # Metadata
    c1, c2 = st.columns([2, 1])
    with c1:
        new_title = st.text_input("Titel", value=st.session_state.get(f"{key_base}_title", ""), key=f"{key_base}_inp_title")
    with c2:
        known_types = ["concept", "project", "decision", "experience", "journal", "person", "value", "goal", "principle", "default"]
        curr_type = st.session_state.get(f"{key_base}_type", "default")
        if curr_type not in known_types: known_types.append(curr_type)
        new_type = st.selectbox("Typ", known_types, index=known_types.index(curr_type), key=f"{key_base}_sel_type")

    new_tags = st.text_input("Tags (kommagetrennt)", value=st.session_state.get(f"{key_base}_tags", ""), key=f"{key_base}_inp_tags")

    # Tabs
    tab_edit, tab_view = st.tabs(["✏️ Inhalt", "👁️ Vorschau"])
    
    with tab_edit:
        st.caption("Bearbeite hier den Inhalt. Metadaten (oben) werden automatisch hinzugefügt.")
        new_body = st.text_area(
            "Body", 
            value=st.session_state.get(f"{key_base}_body", ""), 
            height=500, 
            key=f"{key_base}_txt_body",
            label_visibility="collapsed"
        )
    
    # Reassembly
    final_tags_list = [t.strip() for t in new_tags.split(",") if t.strip()]
    final_meta = st.session_state.get(f"{key_base}_meta", {}).copy()
    final_meta.update({
        "id": "generated_on_save",
        "type": new_type,
        "title": new_title,
        "status": "draft",
        "tags": final_tags_list
    })
    
    final_doc = build_markdown_doc(final_meta, new_body)
    
    with tab_view:
        st.markdown('<div class="preview-box">', unsafe_allow_html=True)
        st.markdown(final_doc)
        st.markdown('</div>', unsafe_allow_html=True)

    st.markdown("---")
    
    # Actions
    b1, b2 = st.columns([1, 1])
    with b1:
        fname = f"{datetime.now().strftime('%Y%m%d')}-{new_type}.md"
        st.download_button("💾 Download .md", data=final_doc, file_name=fname, mime="text/markdown")
    with b2:
        if st.button("📋 Code anzeigen", key=f"{key_base}_btn_copy"):
            st.code(final_doc, language="markdown")
            
    st.markdown("</div>", unsafe_allow_html=True)


def render_chat_interface(top_k, explain):
    for idx, msg in enumerate(st.session_state.messages):
        with st.chat_message(msg["role"]):
            if msg["role"] == "assistant":
                # Meta
                intent = msg.get("intent", "UNKNOWN")
                src = msg.get("intent_source", "?")
                icon = {"EMPATHY":"❤️", "DECISION":"⚖️", "CODING":"💻", "FACT":"📚", "INTERVIEW":"📝"}.get(intent, "🧠")
                st.markdown(f'<div class="intent-badge">{icon} Intent: {intent} <span style="opacity:0.6; font-size:0.8em">({src})</span></div>', unsafe_allow_html=True)
                
                # Debugging (Always visible for safety)
                with st.expander("🐞 Debug Raw Payload", expanded=False):
                    st.json(msg)

                # Logic
                if intent == "INTERVIEW":
                    render_draft_editor(msg)
                else:
                    st.markdown(msg["content"])
                
                # Sources
                if "sources" in msg and msg["sources"]:
                    for hit in msg["sources"]:
                        with st.expander(f"📄 {hit.get('note_id', '?')} ({hit.get('total_score', 0):.2f})"):
                            st.markdown(f"_{hit.get('source', {}).get('text', '')[:300]}..._")
                            if hit.get('explanation'):
                                st.caption(f"Grund: {hit['explanation']['reasons'][0]['message']}")
                            def _cb(qid=msg.get("query_id"), nid=hit.get('node_id')):
                                val = st.session_state.get(f"fb_src_{qid}_{nid}")
                                if val is not None: submit_feedback(qid, nid, val+1)
                            st.feedback("faces", key=f"fb_src_{msg.get('query_id')}_{hit.get('node_id')}", on_change=_cb)
                
                if "query_id" in msg:
                    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"])

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

def render_manual_editor():
    st.header("📝 Manueller Editor")
    c1, c2 = st.columns([1, 2])
    n_type = c1.selectbox("Typ", ["concept", "project", "decision", "experience", "value", "goal"])
    tags = c2.text_input("Tags")
    body = st.text_area("Inhalt", height=400, placeholder="# Titel\n\nText...")
    if st.button("Code anzeigen"):
        meta = {"type": n_type, "status": "draft", "tags": [t.strip() for t in tags.split(",")]}
        st.code(build_markdown_doc(meta, body), language="markdown")

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