246 lines
10 KiB
Python
246 lines
10 KiB
Python
import streamlit as st
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from st_cytoscape import cytoscape
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from qdrant_client import models
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from ui_config import COLLECTION_PREFIX, GRAPH_COLORS
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from ui_callbacks import switch_to_editor_callback
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def render_graph_explorer_cytoscape(graph_service):
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st.header("🕸️ Graph Explorer (Cytoscape)")
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# State Init
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if "graph_center_id" not in st.session_state:
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st.session_state.graph_center_id = None
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# Defaults für Cytoscape Session State
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st.session_state.setdefault("cy_node_repulsion", 1000000)
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st.session_state.setdefault("cy_ideal_edge_len", 150)
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st.session_state.setdefault("cy_depth", 2)
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col_ctrl, col_graph = st.columns([1, 4])
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# --- CONTROLS (Linke Spalte) ---
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with col_ctrl:
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st.subheader("Fokus")
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search_term = st.text_input("Suche Notiz", placeholder="Titel eingeben...", key="cy_search")
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if search_term:
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hits, _ = graph_service.client.scroll(
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collection_name=f"{COLLECTION_PREFIX}_notes",
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limit=10,
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scroll_filter=models.Filter(must=[models.FieldCondition(key="title", match=models.MatchText(text=search_term))])
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)
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options = {h.payload['title']: h.payload['note_id'] for h in hits}
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if options:
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selected_title = st.selectbox("Ergebnisse:", list(options.keys()), key="cy_select")
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if st.button("Laden", use_container_width=True, key="cy_load"):
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st.session_state.graph_center_id = options[selected_title]
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st.rerun()
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st.divider()
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# EINSTELLUNGEN
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with st.expander("👁️ Ansicht & Layout", expanded=True):
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# 1. Tiefe (Tier)
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st.session_state.cy_depth = st.slider("Tiefe (Tier)", 1, 3, st.session_state.cy_depth, key="cy_depth_slider")
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st.markdown("**COSE Layout**")
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# 2. Layout Parameter
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st.session_state.cy_ideal_edge_len = st.slider("Kantenlänge", 50, 600, st.session_state.cy_ideal_edge_len, key="cy_len_slider")
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st.session_state.cy_node_repulsion = st.slider("Knoten-Abstoßung", 100000, 5000000, st.session_state.cy_node_repulsion, step=100000, key="cy_rep_slider")
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if st.button("Neu berechnen / Reset", key="cy_rerun"):
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st.rerun()
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st.divider()
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st.caption("Legende")
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for k, v in list(GRAPH_COLORS.items())[:8]:
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st.markdown(f"<span style='color:{v}'>●</span> {k}", unsafe_allow_html=True)
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# --- GRAPH AREA (Rechte Spalte) ---
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with col_graph:
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center_id = st.session_state.graph_center_id
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if center_id:
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action_container = st.container()
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# 1. Daten laden (Mit Tiefe!)
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with st.spinner(f"Lade Graph (Tiefe {st.session_state.cy_depth})..."):
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# Agraph-Objekte vom Service holen
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nodes_data, edges_data = graph_service.get_ego_graph(
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center_id,
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depth=st.session_state.cy_depth
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)
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# Note Data für Editor & Inspector (Volltext)
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note_data = graph_service.get_note_with_full_content(center_id)
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# 2. Action Bar & Inspector
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with action_container:
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c1, c2 = st.columns([3, 1])
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with c1: st.caption(f"Zentrum: **{center_id}**")
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with c2:
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if note_data:
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st.button("📝 Bearbeiten", use_container_width=True, on_click=switch_to_editor_callback, args=(note_data,), key="cy_edit_btn")
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# --- DATA INSPECTOR ---
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with st.expander("🕵️ Data Inspector (Details)", expanded=False):
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if note_data:
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col_i1, col_i2 = st.columns(2)
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with col_i1:
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st.markdown(f"**Titel:** {note_data.get('title')}")
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st.markdown(f"**Typ:** `{note_data.get('type')}`")
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with col_i2:
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st.markdown(f"**Tags:** {', '.join(note_data.get('tags', []))}")
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path_check = "✅" if note_data.get('path') else "❌"
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st.markdown(f"**Pfad:** {path_check}")
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st.divider()
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# Vorschau des Inhalts
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content_preview = note_data.get('fulltext', '')[:500]
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st.text_area("Inhalt (Vorschau)", content_preview + "...", height=100, disabled=True)
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with st.expander("Raw JSON"):
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st.json(note_data)
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else:
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st.warning("Keine Daten für diesen Knoten.")
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# 3. Daten Konvertierung (Agraph -> Cytoscape JSON)
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cy_elements = []
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# Nodes
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for n in nodes_data:
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# Hover-Text aus n.title (vom Service vorbereitet)
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tooltip_text = n.title if n.title else n.label
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# Label kürzen für Anzeige im Kreis
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display_label = n.label
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if len(display_label) > 15 and " " in display_label:
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display_label = display_label.replace(" ", "\n", 1)
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cy_node = {
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"data": {
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"id": n.id,
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"label": display_label,
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"full_label": n.label,
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"bg_color": n.color,
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"size": 50 if n.id == center_id else 30,
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# Tooltip Datenfeld
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"tooltip": tooltip_text
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},
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"selected": (n.id == center_id)
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}
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cy_elements.append(cy_node)
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# Edges
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for e in edges_data:
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# Kompatibilität Agraph -> Cytoscape
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target_id = getattr(e, "to", getattr(e, "target", None))
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if target_id:
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cy_edge = {
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"data": {
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"source": e.source,
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"target": target_id,
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"label": e.label,
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"line_color": e.color
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}
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}
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cy_elements.append(cy_edge)
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# 4. Styling (CSS-like)
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stylesheet = [
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{
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"selector": "node",
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"style": {
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"label": "data(label)",
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"width": "data(size)",
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"height": "data(size)",
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"background-color": "data(bg_color)",
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"color": "#333",
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"font-size": "12px",
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"text-valign": "center",
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"text-halign": "center",
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"text-wrap": "wrap",
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"text-max-width": "80px",
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"border-width": 2,
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"border-color": "#fff",
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# Tooltip Mapping (Browser abhängig)
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"title": "data(tooltip)"
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}
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},
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{
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"selector": "node:selected",
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"style": {
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"border-width": 4,
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"border-color": "#FF5733",
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"background-color": "#FF5733",
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"color": "#fff"
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}
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},
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{
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"selector": "edge",
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"style": {
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"width": 2,
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"line-color": "data(line_color)",
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"target-arrow-color": "data(line_color)",
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"target-arrow-shape": "triangle",
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"curve-style": "bezier",
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"label": "data(label)",
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"font-size": "10px",
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"color": "#777",
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"text-background-opacity": 0.8,
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"text-background-color": "#fff",
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"text-rotation": "autorotate"
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}
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}
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]
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# 5. Rendering & Layout
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graph_key = f"cy_{center_id}_{st.session_state.cy_depth}_{st.session_state.cy_ideal_edge_len}"
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# Das Event-Dictionary enthält die geklickten Elemente
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clicked_elements = cytoscape(
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elements=cy_elements,
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stylesheet=stylesheet,
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layout={
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"name": "cose",
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"idealEdgeLength": st.session_state.cy_ideal_edge_len,
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"nodeOverlap": 20,
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"refresh": 20,
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"fit": True,
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"padding": 50,
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"randomize": False,
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"componentSpacing": 100,
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"nodeRepulsion": st.session_state.cy_node_repulsion,
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"edgeElasticity": 100,
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"nestingFactor": 5,
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"gravity": 80,
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"numIter": 1000,
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"initialTemp": 200,
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"coolingFactor": 0.95,
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"minTemp": 1.0
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},
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key=graph_key,
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height="800px"
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)
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# 6. Interaktions-Logik (Navigation Fix)
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if clicked_elements:
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# clicked_elements['nodes'] ist eine Liste von IDs
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clicked_node_ids = clicked_elements.get("nodes", [])
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target_node = None
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# Wir suchen einen Node, der NICHT das aktuelle Zentrum ist
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for nid in clicked_node_ids:
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if nid != center_id:
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target_node = nid
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break
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# Wenn ein neuer Knoten gefunden wurde -> Navigieren
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if target_node:
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st.session_state.graph_center_id = target_node
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st.rerun()
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else:
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st.info("👈 Bitte wähle links eine Notiz aus.") |