187 lines
7.5 KiB
Python
187 lines
7.5 KiB
Python
import streamlit as st
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# KORREKTER IMPORT für 'pip install streamlit-cytoscapejs'
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from streamlit_cytoscapejs import st_cytoscapejs
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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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if "graph_center_id" not in st.session_state:
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st.session_state.graph_center_id = None
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# Layout Defaults für COSE
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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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col_ctrl, col_graph = st.columns([1, 4])
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# --- CONTROLS ---
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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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with st.expander("👁️ Layout Einstellungen", expanded=True):
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st.caption("COSE Layout")
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st.session_state.cy_ideal_edge_len = st.slider("Kantenlänge", 50, 500, st.session_state.cy_ideal_edge_len)
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st.session_state.cy_node_repulsion = st.slider("Knoten-Abstoßung", 100000, 2000000, st.session_state.cy_node_repulsion, step=100000)
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if st.button("Neu berechnen", 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 ---
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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
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with st.spinner("Lade Graph..."):
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nodes_data, edges_data = graph_service.get_ego_graph(center_id)
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note_data = graph_service.get_note_with_full_content(center_id)
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# 2. Action Bar
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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")
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# 3. Konvertierung zu Cytoscape JSON
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cy_elements = []
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for n in nodes_data:
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# Node
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cy_node = {
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"data": {
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"id": n.id,
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"label": n.label,
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"bg_color": n.color, # Wichtig: Eigenes Attribut für Style mapping
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"size": 40 if n.id == center_id else 25,
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"tooltip": n.title
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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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for e in edges_data:
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# Edge
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cy_edge = {
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"data": {
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"source": e.source,
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"target": e.target,
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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. Stylesheet
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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)", # Mapping auf unser data feld
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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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"border-width": 2,
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"border-color": "#fff"
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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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}
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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": 1,
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"text-background-color": "#fff"
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}
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}
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]
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# 5. Rendering
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# Die Bibliothek gibt eine Liste von geklickten Elementen zurück
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clicked_elements = st_cytoscapejs(
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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": 30,
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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="cyto_graph_obj",
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height="800px"
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)
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# Interaktion: Klick Event verarbeiten
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if clicked_elements:
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# clicked_elements ist eine Liste von Dictionaries
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# Wir suchen nach einem Node-Klick
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for el in clicked_elements:
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# Prüfen ob es ein Node ist (hat 'id' aber keine 'source'/'target' im root,
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# allerdings liefert die Lib oft die rohen Daten)
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# Wir schauen auf die ID.
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clicked_id = el.get("data", {}).get("id") if "data" in el else el.get("id")
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if clicked_id and clicked_id != center_id:
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# Safety check: ist es eine edge? Edges haben source/target
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is_edge = "source" in el.get("data", {})
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if not is_edge:
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st.session_state.graph_center_id = clicked_id
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st.rerun()
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else:
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st.info("👈 Bitte wähle links eine Notiz aus.") |