feat: Netzwerkanalyse-Feature (Wissensgraph)
Neues Feature zur Visualisierung von Entitäten und Beziehungen aus ausgewählten Lagen als interaktiver d3.js-Netzwerkgraph. - Haiku extrahiert Entitäten (Person, Organisation, Ort, Ereignis, Militär) - Opus analysiert Beziehungen und korrigiert Haiku-Fehler - 6 neue DB-Tabellen (network_analyses, _entities, _relations, etc.) - REST-API: CRUD + Generierung + Export (JSON/CSV) - d3.js Force-Directed Graph mit Zoom, Filter, Suche, Export - WebSocket-Events für Live-Progress während Generierung - Sidebar-Integration mit Netzwerkanalysen-Sektion Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Dieser Commit ist enthalten in:
Claude Dev
831
src/static/js/network-graph.js
Normale Datei
831
src/static/js/network-graph.js
Normale Datei
@@ -0,0 +1,831 @@
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/**
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* AegisSight OSINT Monitor - Network Graph Visualization
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*
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* Force-directed graph powered by d3.js v7.
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* Expects d3 to be loaded globally from CDN before this script runs.
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*
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* Usage:
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* NetworkGraph.init('network-graph-area', data);
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* NetworkGraph.filterByType(new Set(['person', 'organisation']));
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* NetworkGraph.search('Russland');
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* NetworkGraph.destroy();
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*/
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/* global d3 */
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const NetworkGraph = {
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// ---- internal state -------------------------------------------------------
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_svg: null,
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_simulation: null,
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_data: null, // raw data as received
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_filtered: null, // currently visible subset
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_container: null, // <g> inside SVG that receives zoom transforms
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_zoom: null,
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_selectedNode: null,
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_tooltip: null,
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_filters: {
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types: new Set(), // empty = all visible
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minWeight: 1,
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searchTerm: '',
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},
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_colorMap: {
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node: {
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person: '#60A5FA',
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organisation: '#C084FC',
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location: '#34D399',
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event: '#FBBF24',
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military: '#F87171',
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},
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edge: {
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alliance: '#34D399',
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conflict: '#EF4444',
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diplomacy: '#FBBF24',
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economic: '#60A5FA',
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legal: '#C084FC',
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neutral: '#6B7280',
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},
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},
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// ---- public API -----------------------------------------------------------
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/**
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* Initialise the graph inside the given container element.
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* @param {string} containerId – DOM id of the wrapper element
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* @param {object} data – { entities: [], relations: [] }
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*/
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init(containerId, data) {
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this.destroy();
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const wrapper = document.getElementById(containerId);
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if (!wrapper) {
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console.error('[NetworkGraph] Container #' + containerId + ' not found.');
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return;
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}
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this._data = this._prepareData(data);
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this._filters = { types: new Set(), minWeight: 1, searchTerm: '' };
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this._selectedNode = null;
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const rect = wrapper.getBoundingClientRect();
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const width = rect.width || 960;
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const height = rect.height || 640;
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// SVG
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this._svg = d3.select(wrapper)
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.append('svg')
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.attr('width', '100%')
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.attr('height', '100%')
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.attr('viewBox', [0, 0, width, height].join(' '))
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.attr('preserveAspectRatio', 'xMidYMid meet')
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.style('background', 'transparent');
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// Defs: arrow markers per category
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this._createMarkers();
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// Defs: glow filter for top-connected nodes
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this._createGlowFilter();
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// Zoom container
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this._container = this._svg.append('g').attr('class', 'ng-zoom-layer');
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// Zoom behaviour
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this._zoom = d3.zoom()
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.scaleExtent([0.1, 8])
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.on('zoom', (event) => {
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this._container.attr('transform', event.transform);
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});
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this._svg.call(this._zoom);
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// Double-click resets zoom
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this._svg.on('dblclick.zoom', null);
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this._svg.on('dblclick', () => this.resetView());
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// Tooltip
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this._tooltip = d3.select(wrapper)
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.append('div')
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.attr('class', 'ng-tooltip')
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.style('position', 'absolute')
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.style('pointer-events', 'none')
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.style('background', 'rgba(15,23,42,0.92)')
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.style('color', '#e2e8f0')
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.style('border', '1px solid #334155')
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.style('border-radius', '6px')
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.style('padding', '6px 10px')
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.style('font-size', '12px')
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.style('max-width', '260px')
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.style('z-index', '1000')
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.style('display', 'none');
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// Simulation
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this._simulation = d3.forceSimulation()
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.force('link', d3.forceLink().id(d => d.id).distance(d => {
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// Inverse weight: higher weight -> closer
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return Math.max(40, 200 - d.weight * 25);
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}))
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.force('charge', d3.forceManyBody().strength(-300))
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.force('center', d3.forceCenter(width / 2, height / 2))
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.force('collide', d3.forceCollide().radius(d => d._radius + 6))
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.alphaDecay(0.02);
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this.render();
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},
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/**
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* Tear down the graph completely.
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*/
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destroy() {
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if (this._simulation) {
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this._simulation.stop();
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this._simulation = null;
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}
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if (this._svg) {
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this._svg.remove();
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this._svg = null;
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}
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if (this._tooltip) {
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this._tooltip.remove();
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this._tooltip = null;
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}
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this._container = null;
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this._data = null;
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this._filtered = null;
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this._selectedNode = null;
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},
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/**
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* Full re-render based on current filters.
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*/
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render() {
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if (!this._data || !this._container) return;
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this._applyFilters();
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const nodes = this._filtered.entities;
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const links = this._filtered.relations;
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// Clear previous drawing
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this._container.selectAll('*').remove();
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// Determine top-5 most connected node IDs
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const connectionCounts = {};
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this._data.relations.forEach(r => {
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connectionCounts[r.source_entity_id] = (connectionCounts[r.source_entity_id] || 0) + 1;
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connectionCounts[r.target_entity_id] = (connectionCounts[r.target_entity_id] || 0) + 1;
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});
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const top5Ids = new Set(
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Object.entries(connectionCounts)
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.sort((a, b) => b[1] - a[1])
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.slice(0, 5)
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.map(e => e[0])
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);
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// Radius scale (sqrt of connection count)
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const maxConn = Math.max(1, ...Object.values(connectionCounts));
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const rScale = d3.scaleSqrt().domain([0, maxConn]).range([8, 40]);
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nodes.forEach(n => {
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n._connections = connectionCounts[n.id] || 0;
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n._radius = rScale(n._connections);
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n._isTop5 = top5Ids.has(n.id);
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});
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// ---- edges ------------------------------------------------------------
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const linkGroup = this._container.append('g').attr('class', 'ng-links');
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const linkSel = linkGroup.selectAll('line')
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.data(links, d => d.id)
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.join('line')
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.attr('stroke', d => this._colorMap.edge[d.category] || this._colorMap.edge.neutral)
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.attr('stroke-width', d => Math.max(1, d.weight * 0.8))
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.attr('stroke-opacity', d => Math.min(1, 0.3 + d.weight * 0.14))
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.attr('marker-end', d => 'url(#ng-arrow-' + (d.category || 'neutral') + ')')
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.style('cursor', 'pointer')
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.on('mouseover', (event, d) => {
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const lines = [];
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if (d.label) lines.push('<strong>' + this._esc(d.label) + '</strong>');
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if (d.description) lines.push(this._esc(d.description));
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lines.push('Kategorie: ' + this._esc(d.category) + ' | Gewicht: ' + d.weight);
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this._showTooltip(event, lines.join('<br>'));
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})
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.on('mousemove', (event) => this._moveTooltip(event))
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.on('mouseout', () => this._hideTooltip());
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// ---- nodes ------------------------------------------------------------
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const nodeGroup = this._container.append('g').attr('class', 'ng-nodes');
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const nodeSel = nodeGroup.selectAll('g')
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.data(nodes, d => d.id)
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.join('g')
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.attr('class', 'ng-node')
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.style('cursor', 'pointer')
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.call(this._drag(this._simulation))
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.on('mouseover', (event, d) => {
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this._showTooltip(event, '<strong>' + this._esc(d.name) + '</strong><br>' +
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this._esc(d.entity_type) + ' | Verbindungen: ' + d._connections);
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})
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.on('mousemove', (event) => this._moveTooltip(event))
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.on('mouseout', () => this._hideTooltip())
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.on('click', (event, d) => {
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event.stopPropagation();
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this._onNodeClick(d, linkSel, nodeSel);
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});
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// Circle
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nodeSel.append('circle')
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.attr('r', d => d._radius)
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.attr('fill', d => this._colorMap.node[d.entity_type] || '#94A3B8')
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.attr('stroke', '#0f172a')
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.attr('stroke-width', 1.5)
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.attr('filter', d => d._isTop5 ? 'url(#ng-glow)' : null);
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// Label
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nodeSel.append('text')
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.text(d => d.name.length > 15 ? d.name.slice(0, 14) + '\u2026' : d.name)
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.attr('dy', d => d._radius + 14)
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.attr('text-anchor', 'middle')
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.attr('fill', '#cbd5e1')
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.attr('font-size', '10px')
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.attr('pointer-events', 'none');
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// ---- simulation -------------------------------------------------------
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// Build link data with object references (d3 expects id strings or objects)
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const simNodes = nodes;
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const simLinks = links.map(l => ({
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...l,
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source: typeof l.source === 'object' ? l.source.id : l.source_entity_id,
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target: typeof l.target === 'object' ? l.target.id : l.target_entity_id,
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}));
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this._simulation.nodes(simNodes);
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this._simulation.force('link').links(simLinks);
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this._simulation.force('collide').radius(d => d._radius + 6);
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this._simulation.alpha(1).restart();
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this._simulation.on('tick', () => {
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linkSel
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.attr('x1', d => d.source.x)
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.attr('y1', d => d.source.y)
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.attr('x2', d => {
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// Shorten line so arrow doesn't overlap circle
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const target = d.target;
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const dx = target.x - d.source.x;
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const dy = target.y - d.source.y;
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const dist = Math.sqrt(dx * dx + dy * dy) || 1;
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return target.x - (dx / dist) * (target._radius + 4);
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})
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.attr('y2', d => {
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const target = d.target;
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const dx = target.x - d.source.x;
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const dy = target.y - d.source.y;
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const dist = Math.sqrt(dx * dx + dy * dy) || 1;
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return target.y - (dy / dist) * (target._radius + 4);
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});
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nodeSel.attr('transform', d => 'translate(' + d.x + ',' + d.y + ')');
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});
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// Click on background to deselect
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this._svg.on('click', () => {
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this._selectedNode = null;
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nodeSel.select('circle').attr('stroke', '#0f172a').attr('stroke-width', 1.5);
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linkSel.attr('stroke-opacity', d => Math.min(1, 0.3 + d.weight * 0.14));
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this._clearDetailPanel();
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});
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// Apply search highlight if active
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if (this._filters.searchTerm) {
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this._applySearchHighlight(nodeSel);
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}
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},
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// ---- filtering ------------------------------------------------------------
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/**
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* Compute the visible subset from raw data + current filters.
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*/
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_applyFilters() {
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let entities = this._data.entities.slice();
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let relations = this._data.relations.slice();
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// Type filter
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if (this._filters.types.size > 0) {
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const allowed = this._filters.types;
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entities = entities.filter(e => allowed.has(e.entity_type));
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const visibleIds = new Set(entities.map(e => e.id));
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relations = relations.filter(r =>
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visibleIds.has(r.source_entity_id) && visibleIds.has(r.target_entity_id)
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);
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}
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// Weight filter
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if (this._filters.minWeight > 1) {
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relations = relations.filter(r => r.weight >= this._filters.minWeight);
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}
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// Cluster isolation
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if (this._filters._isolateId) {
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const centerId = this._filters._isolateId;
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const connectedIds = new Set([centerId]);
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relations.forEach(r => {
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if (r.source_entity_id === centerId) connectedIds.add(r.target_entity_id);
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if (r.target_entity_id === centerId) connectedIds.add(r.source_entity_id);
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});
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entities = entities.filter(e => connectedIds.has(e.id));
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relations = relations.filter(r =>
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connectedIds.has(r.source_entity_id) && connectedIds.has(r.target_entity_id)
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);
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}
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this._filtered = { entities, relations };
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},
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/**
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* Populate the detail panel (#network-detail-panel) with entity info.
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* @param {object} entity
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*/
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_updateDetailPanel(entity) {
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const panel = document.getElementById('network-detail-panel');
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if (!panel) return;
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const typeColor = this._colorMap.node[entity.entity_type] || '#94A3B8';
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// Connected relations
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const connected = this._data.relations.filter(
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r => r.source_entity_id === entity.id || r.target_entity_id === entity.id
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);
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// Group by category
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const grouped = {};
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connected.forEach(r => {
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const cat = r.category || 'neutral';
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if (!grouped[cat]) grouped[cat] = [];
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// Determine the "other" entity
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const otherId = r.source_entity_id === entity.id ? r.target_entity_id : r.source_entity_id;
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const other = this._data.entities.find(e => e.id === otherId);
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grouped[cat].push({ relation: r, other });
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});
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let html = '';
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// Header
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html += '<div style="margin-bottom:12px;">';
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html += '<h3 style="margin:0 0 6px 0;color:#f1f5f9;font-size:16px;">' + this._esc(entity.name) + '</h3>';
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html += '<span style="display:inline-block;background:' + typeColor + ';color:#0f172a;' +
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'padding:2px 8px;border-radius:4px;font-size:11px;font-weight:600;text-transform:uppercase;">' +
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this._esc(entity.entity_type) + '</span>';
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if (entity.corrected_by_opus) {
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html += ' <span style="display:inline-block;background:#FBBF24;color:#0f172a;' +
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'padding:2px 8px;border-radius:4px;font-size:11px;font-weight:600;">Corrected by Opus</span>';
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}
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html += '</div>';
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// Description
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if (entity.description) {
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html += '<p style="color:#94a3b8;font-size:13px;margin:0 0 10px 0;">' +
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this._esc(entity.description) + '</p>';
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}
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// Aliases
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if (entity.aliases && entity.aliases.length > 0) {
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html += '<div style="margin-bottom:10px;">';
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html += '<strong style="color:#cbd5e1;font-size:12px;">Aliase:</strong><br>';
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entity.aliases.forEach(a => {
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html += '<span style="display:inline-block;background:#1e293b;color:#94a3b8;' +
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'padding:1px 6px;border-radius:3px;font-size:11px;margin:2px 4px 2px 0;">' +
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this._esc(a) + '</span>';
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});
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html += '</div>';
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}
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// Mention count
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html += '<div style="margin-bottom:10px;color:#94a3b8;font-size:12px;">';
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html += 'Erw\u00e4hnungen: <strong style="color:#f1f5f9;">' +
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(entity.mention_count || 0) + '</strong>';
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html += '</div>';
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// Relations grouped by category
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const categoryLabels = {
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alliance: 'Allianz', conflict: 'Konflikt', diplomacy: 'Diplomatie',
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economic: '\u00d6konomie', legal: 'Recht', neutral: 'Neutral',
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||||
};
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||||
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if (Object.keys(grouped).length > 0) {
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||||
html += '<div style="border-top:1px solid #334155;padding-top:10px;">';
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||||
html += '<strong style="color:#cbd5e1;font-size:12px;">Verbindungen (' + connected.length + '):</strong>';
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||||
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Object.keys(grouped).sort().forEach(cat => {
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const catColor = this._colorMap.edge[cat] || this._colorMap.edge.neutral;
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const catLabel = categoryLabels[cat] || cat;
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html += '<div style="margin-top:8px;">';
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html += '<span style="color:' + catColor + ';font-size:11px;font-weight:600;text-transform:uppercase;">' +
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this._esc(catLabel) + '</span>';
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||||
grouped[cat].forEach(item => {
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||||
const r = item.relation;
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||||
const otherName = item.other ? item.other.name : '?';
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||||
const direction = r.source_entity_id === entity.id ? '\u2192' : '\u2190';
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||||
html += '<div style="color:#94a3b8;font-size:12px;padding:2px 0 2px 8px;">';
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||||
html += direction + ' <span style="color:#e2e8f0;">' + this._esc(otherName) + '</span>';
|
||||
if (r.label) html += ' — ' + this._esc(r.label);
|
||||
html += ' <span style="color:#64748b;">(G:' + r.weight + ')</span>';
|
||||
html += '</div>';
|
||||
});
|
||||
html += '</div>';
|
||||
});
|
||||
|
||||
html += '</div>';
|
||||
}
|
||||
|
||||
panel.innerHTML = html;
|
||||
panel.style.display = 'block';
|
||||
},
|
||||
|
||||
/**
|
||||
* Filter nodes by entity type.
|
||||
* @param {Set|Array} types – entity_type values to show. Empty = all.
|
||||
*/
|
||||
filterByType(types) {
|
||||
this._filters.types = types instanceof Set ? types : new Set(types);
|
||||
this._filters._isolateId = null;
|
||||
this.render();
|
||||
},
|
||||
|
||||
/**
|
||||
* Filter edges by minimum weight.
|
||||
* @param {number} minWeight
|
||||
*/
|
||||
filterByWeight(minWeight) {
|
||||
this._filters.minWeight = minWeight;
|
||||
this.render();
|
||||
},
|
||||
|
||||
/**
|
||||
* Highlight nodes matching the search term (name, aliases, description).
|
||||
* @param {string} term
|
||||
*/
|
||||
search(term) {
|
||||
this._filters.searchTerm = (term || '').trim().toLowerCase();
|
||||
this.render();
|
||||
},
|
||||
|
||||
/**
|
||||
* Show only the 1-hop neighbourhood of the given entity.
|
||||
* @param {string} entityId
|
||||
*/
|
||||
isolateCluster(entityId) {
|
||||
this._filters._isolateId = entityId;
|
||||
this.render();
|
||||
},
|
||||
|
||||
/**
|
||||
* Reset zoom, filters and selection to initial state.
|
||||
*/
|
||||
resetView() {
|
||||
this._filters = { types: new Set(), minWeight: 1, searchTerm: '' };
|
||||
this._selectedNode = null;
|
||||
this._clearDetailPanel();
|
||||
|
||||
if (this._svg && this._zoom) {
|
||||
this._svg.transition().duration(500).call(
|
||||
this._zoom.transform, d3.zoomIdentity
|
||||
);
|
||||
}
|
||||
|
||||
this.render();
|
||||
},
|
||||
|
||||
// ---- export ---------------------------------------------------------------
|
||||
|
||||
/**
|
||||
* Export the current graph as a PNG image.
|
||||
*/
|
||||
exportPNG() {
|
||||
if (!this._svg) return;
|
||||
|
||||
const svgNode = this._svg.node();
|
||||
const serializer = new XMLSerializer();
|
||||
const svgString = serializer.serializeToString(svgNode);
|
||||
const svgBlob = new Blob([svgString], { type: 'image/svg+xml;charset=utf-8' });
|
||||
const url = URL.createObjectURL(svgBlob);
|
||||
|
||||
const img = new Image();
|
||||
img.onload = function () {
|
||||
const canvas = document.createElement('canvas');
|
||||
const bbox = svgNode.getBoundingClientRect();
|
||||
canvas.width = bbox.width * 2; // 2x for retina
|
||||
canvas.height = bbox.height * 2;
|
||||
const ctx = canvas.getContext('2d');
|
||||
ctx.scale(2, 2);
|
||||
ctx.fillStyle = '#0f172a';
|
||||
ctx.fillRect(0, 0, bbox.width, bbox.height);
|
||||
ctx.drawImage(img, 0, 0, bbox.width, bbox.height);
|
||||
URL.revokeObjectURL(url);
|
||||
|
||||
canvas.toBlob(function (blob) {
|
||||
if (!blob) return;
|
||||
const a = document.createElement('a');
|
||||
a.href = URL.createObjectURL(blob);
|
||||
a.download = 'aegis-network-' + Date.now() + '.png';
|
||||
document.body.appendChild(a);
|
||||
a.click();
|
||||
document.body.removeChild(a);
|
||||
URL.revokeObjectURL(a.href);
|
||||
}, 'image/png');
|
||||
};
|
||||
img.src = url;
|
||||
},
|
||||
|
||||
/**
|
||||
* Export the current relations as CSV.
|
||||
*/
|
||||
exportCSV() {
|
||||
if (!this._data) return;
|
||||
|
||||
const entityMap = {};
|
||||
this._data.entities.forEach(e => { entityMap[e.id] = e.name; });
|
||||
|
||||
const rows = [['source', 'target', 'category', 'label', 'weight', 'description'].join(',')];
|
||||
this._data.relations.forEach(r => {
|
||||
rows.push([
|
||||
this._csvField(entityMap[r.source_entity_id] || r.source_entity_id),
|
||||
this._csvField(entityMap[r.target_entity_id] || r.target_entity_id),
|
||||
this._csvField(r.category),
|
||||
this._csvField(r.label),
|
||||
r.weight,
|
||||
this._csvField(r.description || ''),
|
||||
].join(','));
|
||||
});
|
||||
|
||||
const blob = new Blob([rows.join('\n')], { type: 'text/csv;charset=utf-8' });
|
||||
const a = document.createElement('a');
|
||||
a.href = URL.createObjectURL(blob);
|
||||
a.download = 'aegis-network-' + Date.now() + '.csv';
|
||||
document.body.appendChild(a);
|
||||
a.click();
|
||||
document.body.removeChild(a);
|
||||
URL.revokeObjectURL(a.href);
|
||||
},
|
||||
|
||||
/**
|
||||
* Export the full data as JSON.
|
||||
*/
|
||||
exportJSON() {
|
||||
if (!this._data) return;
|
||||
|
||||
const exportData = {
|
||||
entities: this._data.entities.map(e => ({
|
||||
id: e.id,
|
||||
name: e.name,
|
||||
name_normalized: e.name_normalized,
|
||||
entity_type: e.entity_type,
|
||||
description: e.description,
|
||||
aliases: e.aliases,
|
||||
mention_count: e.mention_count,
|
||||
corrected_by_opus: e.corrected_by_opus,
|
||||
metadata: e.metadata,
|
||||
})),
|
||||
relations: this._data.relations.map(r => ({
|
||||
id: r.id,
|
||||
source_entity_id: r.source_entity_id,
|
||||
target_entity_id: r.target_entity_id,
|
||||
category: r.category,
|
||||
label: r.label,
|
||||
description: r.description,
|
||||
weight: r.weight,
|
||||
status: r.status,
|
||||
evidence: r.evidence,
|
||||
})),
|
||||
};
|
||||
|
||||
const blob = new Blob(
|
||||
[JSON.stringify(exportData, null, 2)],
|
||||
{ type: 'application/json;charset=utf-8' }
|
||||
);
|
||||
const a = document.createElement('a');
|
||||
a.href = URL.createObjectURL(blob);
|
||||
a.download = 'aegis-network-' + Date.now() + '.json';
|
||||
document.body.appendChild(a);
|
||||
a.click();
|
||||
document.body.removeChild(a);
|
||||
URL.revokeObjectURL(a.href);
|
||||
},
|
||||
|
||||
// ---- internal helpers -----------------------------------------------------
|
||||
|
||||
/**
|
||||
* Prepare / clone data so we do not mutate the original.
|
||||
*/
|
||||
_prepareData(raw) {
|
||||
return {
|
||||
entities: (raw.entities || []).map(e => ({ ...e })),
|
||||
relations: (raw.relations || []).map(r => ({ ...r })),
|
||||
};
|
||||
},
|
||||
|
||||
/**
|
||||
* Create SVG arrow markers for each edge category.
|
||||
*/
|
||||
_createMarkers() {
|
||||
const defs = this._svg.append('defs');
|
||||
const categories = Object.keys(this._colorMap.edge);
|
||||
|
||||
categories.forEach(cat => {
|
||||
defs.append('marker')
|
||||
.attr('id', 'ng-arrow-' + cat)
|
||||
.attr('viewBox', '0 -5 10 10')
|
||||
.attr('refX', 10)
|
||||
.attr('refY', 0)
|
||||
.attr('markerWidth', 8)
|
||||
.attr('markerHeight', 8)
|
||||
.attr('orient', 'auto')
|
||||
.append('path')
|
||||
.attr('d', 'M0,-4L10,0L0,4')
|
||||
.attr('fill', this._colorMap.edge[cat]);
|
||||
});
|
||||
},
|
||||
|
||||
/**
|
||||
* Create SVG glow filter for top-5 nodes.
|
||||
*/
|
||||
_createGlowFilter() {
|
||||
const defs = this._svg.select('defs');
|
||||
const filter = defs.append('filter')
|
||||
.attr('id', 'ng-glow')
|
||||
.attr('x', '-50%')
|
||||
.attr('y', '-50%')
|
||||
.attr('width', '200%')
|
||||
.attr('height', '200%');
|
||||
|
||||
filter.append('feGaussianBlur')
|
||||
.attr('in', 'SourceGraphic')
|
||||
.attr('stdDeviation', 4)
|
||||
.attr('result', 'blur');
|
||||
|
||||
filter.append('feColorMatrix')
|
||||
.attr('in', 'blur')
|
||||
.attr('type', 'matrix')
|
||||
.attr('values', '0 0 0 0 0.98 0 0 0 0 0.75 0 0 0 0 0.14 0 0 0 0.7 0')
|
||||
.attr('result', 'glow');
|
||||
|
||||
const merge = filter.append('feMerge');
|
||||
merge.append('feMergeNode').attr('in', 'glow');
|
||||
merge.append('feMergeNode').attr('in', 'SourceGraphic');
|
||||
},
|
||||
|
||||
/**
|
||||
* d3 drag behaviour.
|
||||
*/
|
||||
_drag(simulation) {
|
||||
function dragstarted(event, d) {
|
||||
if (!event.active) simulation.alphaTarget(0.3).restart();
|
||||
d.fx = d.x;
|
||||
d.fy = d.y;
|
||||
}
|
||||
|
||||
function dragged(event, d) {
|
||||
d.fx = event.x;
|
||||
d.fy = event.y;
|
||||
}
|
||||
|
||||
function dragended(event, d) {
|
||||
if (!event.active) simulation.alphaTarget(0);
|
||||
d.fx = null;
|
||||
d.fy = null;
|
||||
}
|
||||
|
||||
return d3.drag()
|
||||
.on('start', dragstarted)
|
||||
.on('drag', dragged)
|
||||
.on('end', dragended);
|
||||
},
|
||||
|
||||
/**
|
||||
* Handle node click – highlight edges, show detail panel.
|
||||
*/
|
||||
_onNodeClick(d, linkSel, nodeSel) {
|
||||
this._selectedNode = d;
|
||||
|
||||
// Highlight selected node
|
||||
nodeSel.select('circle')
|
||||
.attr('stroke', n => n.id === d.id ? '#FBBF24' : '#0f172a')
|
||||
.attr('stroke-width', n => n.id === d.id ? 3 : 1.5);
|
||||
|
||||
// Highlight connected edges
|
||||
const connectedNodeIds = new Set([d.id]);
|
||||
linkSel.each(function (l) {
|
||||
const srcId = typeof l.source === 'object' ? l.source.id : l.source;
|
||||
const tgtId = typeof l.target === 'object' ? l.target.id : l.target;
|
||||
if (srcId === d.id || tgtId === d.id) {
|
||||
connectedNodeIds.add(srcId);
|
||||
connectedNodeIds.add(tgtId);
|
||||
}
|
||||
});
|
||||
|
||||
linkSel.attr('stroke-opacity', l => {
|
||||
const srcId = typeof l.source === 'object' ? l.source.id : l.source;
|
||||
const tgtId = typeof l.target === 'object' ? l.target.id : l.target;
|
||||
if (srcId === d.id || tgtId === d.id) {
|
||||
return Math.min(1, 0.3 + l.weight * 0.14) + 0.3;
|
||||
}
|
||||
return 0.08;
|
||||
});
|
||||
|
||||
nodeSel.select('circle').attr('opacity', n =>
|
||||
connectedNodeIds.has(n.id) ? 1 : 0.25
|
||||
);
|
||||
nodeSel.select('text').attr('opacity', n =>
|
||||
connectedNodeIds.has(n.id) ? 1 : 0.2
|
||||
);
|
||||
|
||||
// Detail panel
|
||||
const entity = this._data.entities.find(e => e.id === d.id);
|
||||
if (entity) {
|
||||
this._updateDetailPanel(entity);
|
||||
}
|
||||
},
|
||||
|
||||
/**
|
||||
* Apply search highlighting (glow matching, dim rest).
|
||||
*/
|
||||
_applySearchHighlight(nodeSel) {
|
||||
const term = this._filters.searchTerm;
|
||||
if (!term) return;
|
||||
|
||||
nodeSel.each(function (d) {
|
||||
const matches = NetworkGraph._matchesSearch(d, term);
|
||||
d3.select(this).select('circle')
|
||||
.attr('opacity', matches ? 1 : 0.15)
|
||||
.attr('filter', matches ? 'url(#ng-glow)' : null);
|
||||
d3.select(this).select('text')
|
||||
.attr('opacity', matches ? 1 : 0.1);
|
||||
});
|
||||
},
|
||||
|
||||
/**
|
||||
* Check if entity matches the search term.
|
||||
*/
|
||||
_matchesSearch(entity, term) {
|
||||
if (!term) return true;
|
||||
if (entity.name && entity.name.toLowerCase().includes(term)) return true;
|
||||
if (entity.name_normalized && entity.name_normalized.toLowerCase().includes(term)) return true;
|
||||
if (entity.description && entity.description.toLowerCase().includes(term)) return true;
|
||||
if (entity.aliases) {
|
||||
for (let i = 0; i < entity.aliases.length; i++) {
|
||||
if (entity.aliases[i].toLowerCase().includes(term)) return true;
|
||||
}
|
||||
}
|
||||
return false;
|
||||
},
|
||||
|
||||
/**
|
||||
* Clear the detail panel.
|
||||
*/
|
||||
_clearDetailPanel() {
|
||||
const panel = document.getElementById('network-detail-panel');
|
||||
if (panel) {
|
||||
panel.innerHTML = '<p style="color:#64748b;font-size:13px;padding:16px;">Klicke auf einen Knoten, um Details anzuzeigen.</p>';
|
||||
}
|
||||
},
|
||||
|
||||
// ---- tooltip helpers ------------------------------------------------------
|
||||
|
||||
_showTooltip(event, html) {
|
||||
if (!this._tooltip) return;
|
||||
this._tooltip
|
||||
.style('display', 'block')
|
||||
.html(html);
|
||||
this._moveTooltip(event);
|
||||
},
|
||||
|
||||
_moveTooltip(event) {
|
||||
if (!this._tooltip) return;
|
||||
this._tooltip
|
||||
.style('left', (event.offsetX + 14) + 'px')
|
||||
.style('top', (event.offsetY - 10) + 'px');
|
||||
},
|
||||
|
||||
_hideTooltip() {
|
||||
if (!this._tooltip) return;
|
||||
this._tooltip.style('display', 'none');
|
||||
},
|
||||
|
||||
// ---- string helpers -------------------------------------------------------
|
||||
|
||||
_esc(str) {
|
||||
if (!str) return '';
|
||||
const div = document.createElement('div');
|
||||
div.appendChild(document.createTextNode(str));
|
||||
return div.innerHTML;
|
||||
},
|
||||
|
||||
_csvField(val) {
|
||||
const s = String(val == null ? '' : val);
|
||||
if (s.includes(',') || s.includes('"') || s.includes('\n')) {
|
||||
return '"' + s.replace(/"/g, '""') + '"';
|
||||
}
|
||||
return s;
|
||||
},
|
||||
};
|
||||
In neuem Issue referenzieren
Einen Benutzer sperren