import streamlit as st
import uuid
import re
from datetime import datetime
from streamlit_agraph import agraph, Config
from qdrant_client import models

from ui_utils import parse_markdown_draft, build_markdown_doc, load_history_from_logs, slugify
from ui_api import save_draft_to_vault, analyze_draft_text, send_chat_message, submit_feedback
from ui_config import HISTORY_FILE, COLLECTION_PREFIX

def render_sidebar():
    with st.sidebar:
        st.title("🧠 mindnet")
        st.caption("v2.6 | WP-19 Graph View")
        mode = st.radio("Modus", ["💬 Chat", "📝 Manueller Editor", "🕸️ Graph Explorer"], 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(HISTORY_FILE, 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):
    if "query_id" not in msg or not msg["query_id"]:
        msg["query_id"] = str(uuid.uuid4())
    
    qid = msg["query_id"]
    key_base = f"draft_{qid}"
    
    # State Keys
    data_meta_key = f"{key_base}_data_meta"
    data_sugg_key = f"{key_base}_data_suggestions"
    widget_body_key = f"{key_base}_widget_body" 
    data_body_key = f"{key_base}_data_body"

    # INIT STATE
    if f"{key_base}_init" not in st.session_state:
        meta, body = parse_markdown_draft(msg["content"])
        if "type" not in meta: meta["type"] = "default"
        if "title" not in meta: meta["title"] = ""
        tags = meta.get("tags", [])
        meta["tags_str"] = ", ".join(tags) if isinstance(tags, list) else str(tags)

        st.session_state[data_meta_key] = meta
        st.session_state[data_sugg_key] = []
        st.session_state[data_body_key] = body.strip()
        st.session_state[f"{key_base}_wdg_title"] = meta["title"]
        st.session_state[f"{key_base}_wdg_type"] = meta["type"]
        st.session_state[f"{key_base}_wdg_tags"] = meta["tags_str"]
        st.session_state[f"{key_base}_init"] = True

    # RESURRECTION
    if widget_body_key not in st.session_state and data_body_key in st.session_state:
        st.session_state[widget_body_key] = st.session_state[data_body_key]

    # CALLBACKS
    def _sync_meta():
        meta = st.session_state[data_meta_key]
        meta["title"] = st.session_state.get(f"{key_base}_wdg_title", "")
        meta["type"] = st.session_state.get(f"{key_base}_wdg_type", "default")
        meta["tags_str"] = st.session_state.get(f"{key_base}_wdg_tags", "")
        st.session_state[data_meta_key] = meta

    def _sync_body():
        st.session_state[data_body_key] = st.session_state[widget_body_key]

    def _insert_text(text_to_insert):
        current = st.session_state.get(widget_body_key, "")
        new_text = f"{current}\n\n{text_to_insert}"
        st.session_state[widget_body_key] = new_text
        st.session_state[data_body_key] = new_text

    def _remove_text(text_to_remove):
        current = st.session_state.get(widget_body_key, "")
        new_text = current.replace(text_to_remove, "").strip()
        st.session_state[widget_body_key] = new_text
        st.session_state[data_body_key] = new_text

    # UI LAYOUT
    st.markdown(f'<div class="draft-box">', unsafe_allow_html=True)
    st.markdown("### 📝 Entwurf bearbeiten")
    
    meta_ref = st.session_state[data_meta_key]
    c1, c2 = st.columns([2, 1])
    with c1:
        st.text_input("Titel", key=f"{key_base}_wdg_title", on_change=_sync_meta)
    with c2:
        known_types = ["concept", "project", "decision", "experience", "journal", "value", "goal", "principle", "risk", "belief"]
        curr_type = st.session_state.get(f"{key_base}_wdg_type", meta_ref["type"])
        if curr_type not in known_types: known_types.append(curr_type)
        st.selectbox("Typ", known_types, key=f"{key_base}_wdg_type", on_change=_sync_meta)

    st.text_input("Tags", key=f"{key_base}_wdg_tags", on_change=_sync_meta)

    tab_edit, tab_intel, tab_view = st.tabs(["✏️ Inhalt", "🧠 Intelligence", "👁️ Vorschau"])
    
    with tab_edit:
        st.text_area("Body", key=widget_body_key, height=500, on_change=_sync_body, label_visibility="collapsed")

    with tab_intel:
        st.info("Klicke auf 'Analysieren', um Verknüpfungen für den AKTUELLEN Text zu finden.")
        if st.button("🔍 Analyse starten", key=f"{key_base}_analyze"):
            st.session_state[data_sugg_key] = []
            text_to_analyze = st.session_state.get(widget_body_key, st.session_state.get(data_body_key, ""))
            current_doc_type = st.session_state.get(f"{key_base}_wdg_type", "concept")

            with st.spinner("Analysiere..."):
                analysis = analyze_draft_text(text_to_analyze, current_doc_type)
                if "error" in analysis:
                    st.error(f"Fehler: {analysis['error']}")
                else:
                    suggestions = analysis.get("suggestions", [])
                    st.session_state[data_sugg_key] = suggestions
                    if not suggestions: st.warning("Keine Vorschläge gefunden.")
                    else: st.success(f"{len(suggestions)} Vorschläge gefunden.")
        
        suggestions = st.session_state[data_sugg_key]
        if suggestions:
            current_text_state = st.session_state.get(widget_body_key, "")
            for idx, sugg in enumerate(suggestions):
                link_text = sugg.get('suggested_markdown', '')
                is_inserted = link_text in current_text_state
                bg_color = "#e6fffa" if is_inserted else "#ffffff"
                border = "3px solid #28a745" if is_inserted else "3px solid #1a73e8"
                st.markdown(f"""
                <div style="border-left: {border}; background-color: {bg_color}; padding: 10px; margin-bottom: 8px; border-radius: 4px; box-shadow: 0 1px 3px rgba(0,0,0,0.1);">
                    <b>{sugg.get('target_title')}</b> <small>({sugg.get('type')})</small><br>
                    <i>{sugg.get('reason')}</i><br>
                    <code>{link_text}</code>
                </div>
                """, unsafe_allow_html=True)
                if is_inserted:
                    st.button("❌ Entfernen", key=f"del_{idx}_{key_base}", on_click=_remove_text, args=(link_text,))
                else:
                    st.button("➕ Einfügen", key=f"add_{idx}_{key_base}", on_click=_insert_text, args=(link_text,))

    final_tags_str = st.session_state.get(f"{key_base}_wdg_tags", "")
    final_tags = [t.strip() for t in final_tags_str.split(",") if t.strip()]
    final_meta = {
        "id": "generated_on_save",
        "type": st.session_state.get(f"{key_base}_wdg_type", "default"),
        "title": st.session_state.get(f"{key_base}_wdg_title", "").strip(),
        "status": "draft",
        "tags": final_tags
    }
    final_body = st.session_state.get(widget_body_key, st.session_state[data_body_key])
    if not final_meta["title"]:
        h1_match = re.search(r"^#\s+(.*)$", final_body, re.MULTILINE)
        if h1_match: final_meta["title"] = h1_match.group(1).strip()
    
    final_doc = build_markdown_doc(final_meta, final_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("---")
    b1, b2 = st.columns([1, 1])
    with b1:
        if st.button("💾 Speichern & Indizieren", type="primary", key=f"{key_base}_save"):
            with st.spinner("Speichere im Vault..."):
                raw_title = final_meta.get("title", "")
                if not raw_title:
                    clean_body = re.sub(r"[#*_\[\]()]", "", final_body).strip()
                    raw_title = clean_body[:40] if clean_body else "draft"
                safe_title = slugify(raw_title)[:60] or "draft"
                fname = f"{datetime.now().strftime('%Y%m%d')}-{safe_title}.md"
                result = save_draft_to_vault(final_doc, filename=fname)
                if "error" in result: st.error(f"Fehler: {result['error']}")
                else:
                    st.success(f"Gespeichert: {result.get('file_path')}")
                    st.balloons()
    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":
                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)
                
                with st.expander("🐞 Debug Raw Payload", expanded=False):
                    st.json(msg)

                if intent == "INTERVIEW":
                    render_draft_editor(msg)
                else:
                    st.markdown(msg["content"])
                
                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():
    mock_msg = {
        "content": "---\ntype: concept\ntitle: Neue Notiz\nstatus: draft\ntags: []\n---\n# Titel\n",
        "query_id": "manual_mode_v2" 
    }
    render_draft_editor(mock_msg)

def render_graph_explorer(graph_service):
    st.header("🕸️ Graph Explorer (WP-19)")
    
    col_ctrl, col_graph = st.columns([1, 3])
    
    with col_ctrl:
        st.subheader("Fokus setzen")
        search_term = st.text_input("Suche Notiz (Titel)", placeholder="z.B. Project Alpha")
        selected_note_id = None
        
        if search_term:
            hits, _ = graph_service.client.scroll(
                collection_name=f"{COLLECTION_PREFIX}_notes",
                scroll_filter=models.Filter(
                    must=[models.FieldCondition(key="title", match=models.MatchText(text=search_term))]
                ),
                limit=10
            )
            options = {h.payload['title']: h.payload['note_id'] for h in hits}
            if options:
                selected_title = st.selectbox("Wähle Notiz:", list(options.keys()))
                selected_note_id = options[selected_title]
            else:
                st.warning("Keine Notiz gefunden.")
        
        st.markdown("---")
        st.markdown("**Legende:**")
        st.markdown(f"🔴 **Blocker** (Risk/Block)")
        st.markdown(f"🔵 **Konzept/Struktur**")
        st.markdown(f"🟣 **Entscheidung**")
        st.markdown(f"🟢 **Beitrag**")
        st.markdown(f"--- **Solid**: Explicit Link")
        st.markdown(f"- - **Dashed**: Smart/AI Link")

    with col_graph:
        if selected_note_id:
            with st.spinner(f"Lade Graph für {selected_note_id}..."):
                nodes, edges = graph_service.get_ego_graph(selected_note_id)
                
                if not nodes:
                    st.error("Knoten konnte nicht geladen werden.")
                else:
                    config = Config(
                        width=900,
                        height=700,
                        directed=True, 
                        physics=True, 
                        hierarchical=False,
                        nodeHighlightBehavior=True,
                        highlightColor="#F7A7A6",
                        collapsible=False
                    )
                    st.caption(f"Graph zeigt {len(nodes)} Knoten und {len(edges)} Kanten.")
                    return_value = agraph(nodes=nodes, edges=edges, config=config)
                    
                    if return_value:
                        st.info(f"Auswahl: {return_value}")
        else:
            st.info("👈 Bitte wähle links eine Notiz aus, um den Graphen zu starten.")