UI Anpasung für WP07
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@ -3,6 +3,7 @@ import requests
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import uuid
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import os
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import json
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import re
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from pathlib import Path
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from dotenv import load_dotenv
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@ -18,7 +19,7 @@ timeout_setting = os.getenv("MINDNET_API_TIMEOUT") or os.getenv("MINDNET_LLM_TIM
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API_TIMEOUT = float(timeout_setting) if timeout_setting else 300.0
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# --- PAGE SETUP ---
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st.set_page_config(page_title="mindnet v2.3.1", page_icon="🧠", layout="wide")
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st.set_page_config(page_title="mindnet v2.3.2", page_icon="🧠", layout="wide")
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# --- CSS STYLING ---
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st.markdown("""
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@ -40,6 +41,9 @@ st.markdown("""
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/* Expander Cleaner */
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.streamlit-expanderHeader { font-size: 0.9rem; font-weight: 600; color: #444; }
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/* Editor Label */
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.editor-label { font-weight: bold; margin-bottom: 5px; display: block; color: #333; }
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</style>
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""", unsafe_allow_html=True)
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@ -50,6 +54,14 @@ if "draft_note" not in st.session_state: st.session_state.draft_note = {"title":
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# --- HELPER FUNCTIONS ---
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def extract_markdown_content(text):
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"""Extrahiert den Inhalt aus einem Markdown-Codeblock."""
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pattern = r"```markdown\s*(.*?)\s*```"
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match = re.search(pattern, text, re.DOTALL)
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if match:
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return match.group(1).strip()
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return text # Fallback: Ganzen Text zurückgeben, wenn kein Block gefunden
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def load_history_from_logs(limit=10):
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"""Liest die letzten N Queries aus dem Logfile."""
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queries = []
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@ -93,9 +105,9 @@ def submit_feedback(query_id, node_id, score, comment=None):
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def render_sidebar():
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with st.sidebar:
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st.title("🧠 mindnet")
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st.caption("v2.3.1 | WP-10 UI")
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st.caption("v2.3.2 | WP-10 UI")
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mode = st.radio("Modus", ["💬 Chat", "📝 Neuer Eintrag (WP-07)"], index=0)
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mode = st.radio("Modus", ["💬 Chat", "📝 Manueller Eintrag"], index=0)
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st.divider()
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st.subheader("⚙️ Settings")
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@ -119,17 +131,59 @@ def render_chat_interface(top_k, explain):
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for msg in st.session_state.messages:
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with st.chat_message(msg["role"]):
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if msg["role"] == "assistant":
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# Intent Badge MIT SOURCE (Fix für Debugging)
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# 1. INTENT BADGE (mit Source)
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if "intent" in msg:
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icon = {"EMPATHY": "❤️", "DECISION": "⚖️", "CODING": "💻", "FACT": "📚"}.get(msg["intent"], "🧠")
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intent = msg["intent"]
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icon = {"EMPATHY": "❤️", "DECISION": "⚖️", "CODING": "💻", "FACT": "📚", "INTERVIEW": "📝"}.get(intent, "🧠")
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source_info = msg.get("intent_source", "Unknown")
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# Hier wird die Quelle wieder angezeigt:
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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)
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st.markdown(f'<div class="intent-badge">{icon} Intent: {intent} <span style="opacity:0.6; font-size: 0.9em; margin-left:5px;">via {source_info}</span></div>', unsafe_allow_html=True)
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st.markdown(msg["content"])
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# 2. CONTENT RENDERING (Weiche für INTERVIEW vs. NORMAL)
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if msg.get("intent") == "INTERVIEW":
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# --- INTERVIEW EDITOR MODUS ---
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# Sources
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if "sources" in msg:
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# Markdown extrahieren (nur beim ersten Mal, dann aus State)
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raw_content = msg["content"]
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draft_content = extract_markdown_content(raw_content)
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# Eindeutiger Key für diesen Editor (basierend auf query_id)
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editor_key = f"editor_{msg.get('query_id', uuid.uuid4())}"
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# Init State falls noch nicht vorhanden
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if editor_key not in st.session_state:
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st.session_state[editor_key] = draft_content
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st.markdown('<span class="editor-label">Entwurf bearbeiten (Draft):</span>', unsafe_allow_html=True)
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# Der Editor
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edited_text = st.text_area(
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label="Editor",
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value=st.session_state[editor_key],
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height=350,
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key=editor_key,
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label_visibility="collapsed"
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)
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# Action Buttons
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c1, c2 = st.columns([1, 1])
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with c1:
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st.download_button(
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label="💾 Als .md herunterladen",
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data=edited_text,
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file_name=f"draft_{msg.get('query_id', 'unknown')[:8]}.md",
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mime="text/markdown"
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)
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with c2:
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# Copy Mockup (Browser-Security verhindert oft direkten Zugriff)
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if st.button("📋 In Zwischenablage kopieren", key=f"copy_{editor_key}"):
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st.toast("Tipp: Klicke in das Textfeld, drücke Strg+A dann Strg+C.")
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else:
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# --- STANDARD CHAT MODUS ---
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st.markdown(msg["content"])
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# 3. SOURCES (Nur anzeigen, wenn vorhanden)
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if "sources" in msg and msg["sources"]:
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for hit in msg["sources"]:
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score = hit.get('total_score', 0)
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icon = "🟢" if score > 0.8 else "🟡" if score > 0.5 else "⚪"
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@ -138,24 +192,26 @@ def render_chat_interface(top_k, explain):
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if hit.get('explanation'):
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st.caption(f"Grund: {hit['explanation']['reasons'][0]['message']}")
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# Granular Feedback (Faces)
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# Granular Feedback
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def _cb(qid=msg["query_id"], nid=hit['node_id']):
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val = st.session_state.get(f"fb_src_{qid}_{nid}")
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if val is not None: submit_feedback(qid, nid, val+1, "Faces UI")
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st.feedback("faces", key=f"fb_src_{msg['query_id']}_{hit['node_id']}", on_change=_cb)
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# Global Feedback (Stars)
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qid = msg["query_id"]
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st.feedback("stars", key=f"fb_glob_{qid}", on_change=lambda: submit_feedback(qid, "generated_answer", st.session_state[f"fb_glob_{qid}"]+1))
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# 4. GLOBAL FEEDBACK
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if "query_id" in msg:
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qid = msg["query_id"]
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st.feedback("stars", key=f"fb_glob_{qid}", on_change=lambda: submit_feedback(qid, "generated_answer", st.session_state[f"fb_glob_{qid}"]+1))
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else:
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# User Message
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st.markdown(msg["content"])
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# Input Logic
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last_msg_is_user = len(st.session_state.messages) > 0 and st.session_state.messages[-1]["role"] == "user"
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if prompt := st.chat_input("Frage Mindnet..."):
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if prompt := st.chat_input("Frage Mindnet... (z.B. 'Neues Projekt anlegen')"):
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st.session_state.messages.append({"role": "user", "content": prompt})
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st.rerun()
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@ -172,7 +228,7 @@ def render_chat_interface(top_k, explain):
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"role": "assistant",
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"content": resp.get("answer"),
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"intent": resp.get("intent", "FACT"),
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"intent_source": resp.get("intent_source", "Unknown"), # Wichtig für Anzeige
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"intent_source": resp.get("intent_source", "Unknown"),
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"sources": resp.get("sources", []),
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"query_id": resp.get("query_id")
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}
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@ -180,8 +236,8 @@ def render_chat_interface(top_k, explain):
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st.rerun()
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def render_creation_interface():
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st.header("📝 Neuer Wissens-Eintrag (WP-07/11)")
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st.info("Hier kannst du strukturierte Notizen erstellen, die direkt in den Obsidian Vault gespeichert werden.")
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st.header("📝 Manueller Eintrag (Legacy)")
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st.info("Nutze lieber den Chat ('Neues Projekt anlegen') für den Interview-Modus.")
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with st.form("new_entry"):
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col1, col2 = st.columns([3, 1])
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