1048 lines
34 KiB
JavaScript
1048 lines
34 KiB
JavaScript
/**
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* Update Mindmap
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* Dieses Skript fügt Knoten zur Mindmap hinzu und stellt sicher,
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* dass sie im neuronalen Netzwerk-Design angezeigt werden.
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* Implementiert Lazy Loading & Progressive Disclosure
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*/
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// Neue zentrale Konfiguration
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const mindmapConfig = {
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categories: {
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'Philosophie': {
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icon: 'fa-solid fa-lightbulb',
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color: '#b71c1c',
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description: 'Die Lehre vom Denken und der Erkenntnis'
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},
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'Wissenschaft': {
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icon: 'fa-solid fa-atom',
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color: '#f4b400',
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description: 'Systematische Erforschung der Natur und Gesellschaft'
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},
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'Technologie': {
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icon: 'fa-solid fa-microchip',
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color: '#0d47a1',
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description: 'Anwendung wissenschaftlicher Erkenntnisse'
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},
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'Künste': {
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icon: 'fa-solid fa-palette',
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color: '#c2185b',
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description: 'Kreativer Ausdruck und künstlerische Gestaltung'
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}
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},
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defaultNodeStyle: {
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fontSize: 18,
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fontColor: '#fff',
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neuronSize: 8,
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neuronActivity: 0.8
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},
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centerNodeStyle: {
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fontSize: 22,
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fontColor: '#222',
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neuronSize: 12,
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neuronActivity: 1.0,
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color: '#f5f5f5',
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icon: 'fa-solid fa-circle'
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}
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};
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// Zentrale Styling-Konfiguration
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const mindmapStyles = {
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node: {
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base: {
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'background-color': 'data(color)',
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'label': 'data(label)',
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'color': '#ffffff',
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'text-background-color': 'rgba(0, 0, 0, 0.7)',
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'text-background-opacity': 0.8,
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'text-background-padding': '4px',
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'text-valign': 'center',
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'text-halign': 'center',
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'font-size': 16,
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'width': 'mapData(neuronSize, 3, 10, 30, 60)',
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'height': 'mapData(neuronSize, 3, 10, 30, 60)',
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'border-width': 2,
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'border-color': '#ffffff',
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'border-opacity': 0.8,
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'shape': 'ellipse',
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'background-opacity': 0.85
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},
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center: {
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'background-color': '#f5f5f5',
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'color': '#222',
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'font-size': 20,
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'border-width': 3,
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'width': 100,
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'height': 100
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},
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selected: {
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'border-color': '#f59e42',
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'border-width': 3,
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'background-opacity': 1
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}
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},
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edge: {
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base: {
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'width': function(ele) {
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return ele.data('strength') ? ele.data('strength') * 2 : 1;
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},
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'line-color': function(ele) {
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const sourceColor = ele.source().data('color');
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return sourceColor || '#8a8aaa';
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},
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'line-opacity': function(ele) {
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return ele.data('strength') ? ele.data('strength') * 0.6 : 0.4;
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},
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'curve-style': 'bezier',
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'target-arrow-shape': 'none',
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'control-point-distances': [30, -30],
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'control-point-weights': [0.5, 0.5]
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}
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},
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layout: {
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base: {
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name: 'cose',
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animate: true,
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animationDuration: 500,
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refresh: 20,
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fit: true,
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padding: 30,
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nodeRepulsion: 4500,
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idealEdgeLength: 50,
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edgeElasticity: 0.45,
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randomize: true,
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componentSpacing: 100,
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nodeOverlap: 20,
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gravity: 0.25,
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initialTemp: 1000,
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coolingFactor: 0.95,
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minTemp: 1
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}
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}
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};
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// Globale Variable für die Mindmap-Daten
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let mindmapData = null;
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// Funktion zum Laden der Mindmap-Daten aus der Datenbank
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async function loadMindmapData(nodeId = null) {
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try {
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const apiUrl = nodeId ? `/api/mindmap/${nodeId}` : '/api/mindmap/root';
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console.log('Lade Mindmap-Daten von:', apiUrl);
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const response = await fetch(apiUrl);
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console.log('API-Antwort Status:', response.status);
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if (!response.ok) {
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let errorData;
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try {
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errorData = await response.json();
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console.log('API-Fehler Details:', {
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status: response.status,
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statusText: response.statusText,
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errorData
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});
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} catch (e) {
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console.error('Fehler beim Parsen der Fehlerantwort:', e);
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errorData = {
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error: `HTTP-Fehler ${response.status}: ${response.statusText}`
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};
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}
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// Fehlerobjekt für die Benachrichtigung erstellen
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const errorMessage = {
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error: errorData.error || errorData.message || 'Unbekannter Fehler',
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details: errorData.details || null
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};
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showUINotification(errorMessage, 'error');
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throw new Error(errorMessage.error);
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}
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const data = await response.json();
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console.log('Geladene Mindmap-Daten:', data);
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if (!data.success) {
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const errorMessage = {
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error: data.error || 'Mindmap-Daten konnten nicht geladen werden',
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details: data.details || null
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};
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showUINotification(errorMessage, 'error');
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throw new Error(errorMessage.error);
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}
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// Erfolgreiche Antwort
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mindmapData = data; // Speichere die Daten in der globalen Variable
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showUINotification('Mindmap-Daten erfolgreich geladen', 'success');
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return data;
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} catch (error) {
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console.error('Fehler beim Laden der Mindmap-Daten:', {
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message: error.message,
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stack: error.stack,
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nodeId
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});
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// Stelle sicher, dass wir eine aussagekräftige Fehlermeldung haben
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const errorMessage = {
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error: error.message || 'Unbekannter Fehler beim Laden der Mindmap-Daten',
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details: error.stack
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};
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showUINotification(errorMessage, 'error');
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throw error;
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}
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}
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// Funktion zum Initialisieren der Mindmap
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async function initializeMindmap() {
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try {
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const data = await loadMindmapData();
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if (!data || !data.nodes || !data.edges) {
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throw new Error('Ungültiges Datenformat: Mindmap-Daten fehlen oder sind unvollständig');
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}
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const elements = [
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// Knoten
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...data.nodes.map(node => ({
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data: {
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id: node.id,
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label: node.name,
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category: node.category,
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description: node.description,
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hasChildren: node.has_children,
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expanded: false,
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color: node.color_code,
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fontColor: '#ffffff',
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fontSize: node.is_center ? 20 : 16
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}
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})),
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// Kanten
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...data.edges.map(edge => ({
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data: {
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source: edge.source,
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target: edge.target,
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strength: edge.strength || 0.5
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}
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}))
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];
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// Bestehende Cytoscape-Instanz entfernen, falls vorhanden
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if (window.cy && typeof window.cy.destroy === 'function') {
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window.cy.destroy();
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}
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const cyContainer = document.getElementById('cy');
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if (!cyContainer) {
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throw new Error('Mindmap-Container #cy nicht gefunden!');
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}
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window.cy = cytoscape({
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container: cyContainer,
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elements: elements,
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style: [
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{
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selector: 'node',
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style: mindmapStyles.node.base
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},
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{
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selector: 'node[isCenter]',
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style: mindmapStyles.node.center
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},
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{
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selector: 'node:selected',
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style: mindmapStyles.node.selected
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},
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{
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selector: 'edge',
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style: mindmapStyles.edge.base
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}
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],
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layout: mindmapStyles.layout.base
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});
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// Füge neuronale Eigenschaften zu allen Knoten hinzu
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cy.nodes().forEach(node => {
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const data = node.data();
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// Verwende mindmapConfig für Kategorie-Farben oder einen Standardwert
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const categoryColor = data.category && mindmapConfig.categories[data.category]
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? mindmapConfig.categories[data.category].color
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: '#60a5fa';
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node.data({
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...data,
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neuronSize: data.neuronSize || 8,
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neuronActivity: data.neuronActivity || 0.8,
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refractionPeriod: Math.random() * 300 + 700,
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threshold: Math.random() * 0.3 + 0.6,
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lastFired: 0,
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color: data.color || categoryColor
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});
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});
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// Füge synaptische Eigenschaften zu allen Kanten hinzu
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cy.edges().forEach(edge => {
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const data = edge.data();
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edge.data({
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...data,
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strength: data.strength || 0.5,
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conductionVelocity: Math.random() * 0.5 + 0.3,
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latency: Math.random() * 100 + 50
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});
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});
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// Event-Listener für Knoten-Klicks
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cy.on('tap', 'node', async function(evt) {
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const node = evt.target;
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console.log('Node clicked:', node.id(), 'hasChildren:', node.data('hasChildren'), 'expanded:', node.data('expanded'));
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if (node.data('hasChildren') && !node.data('expanded')) {
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await loadSubthemes(node);
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}
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});
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// Layout ausführen
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cy.layout(mindmapStyles.layout.base).run();
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// Starte neuronale Aktivitätssimulation
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startNeuralActivitySimulation(cy);
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// Mindmap mit echten Daten befüllen (Styles, Farben etc.)
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updateMindmap();
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return true;
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} catch (error) {
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console.error('Fehler bei der Mindmap-Initialisierung:', error);
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showUINotification({
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error: 'Mindmap konnte nicht initialisiert werden',
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details: error.message
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}, 'error');
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return false;
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}
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}
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// Warte bis DOM geladen ist
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document.addEventListener('DOMContentLoaded', function() {
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console.log('DOMContentLoaded Event ausgelöst');
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// Prüfe, ob der Container existiert
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const cyContainer = document.getElementById('cy');
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console.log('Container gefunden:', cyContainer);
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if (!cyContainer) {
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console.error('Mindmap-Container #cy nicht gefunden!');
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return;
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}
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// Prüfe, ob Cytoscape verfügbar ist
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if (typeof cytoscape === 'undefined') {
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console.error('Cytoscape ist nicht definiert!');
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return;
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}
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console.log('Cytoscape ist verfügbar');
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// Initialisiere die Mindmap
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initializeMindmap()
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.then(success => {
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if (success) {
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console.log('Mindmap wurde erfolgreich initialisiert');
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// Event auslösen, damit andere Scripte reagieren können
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document.dispatchEvent(new Event('mindmap-loaded'));
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console.log('mindmap-loaded Event ausgelöst');
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} else {
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console.error('Mindmap-Initialisierung fehlgeschlagen');
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}
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})
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.catch(error => {
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console.error('Fehler bei der Mindmap-Initialisierung:', error);
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showUINotification({
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error: 'Mindmap konnte nicht initialisiert werden',
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details: error.message
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}, 'error');
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});
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});
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// Funktion zum Initialisieren des neuronalen Designs
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function initializeNeuralDesign(cy) {
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// Füge neuronale Eigenschaften zu allen Knoten hinzu
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cy.nodes().forEach(node => {
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const data = node.data();
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node.data({
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...data,
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neuronSize: data.neuronSize || 8,
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neuronActivity: data.neuronActivity || 0.8,
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refractionPeriod: Math.random() * 300 + 700,
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threshold: Math.random() * 0.3 + 0.6,
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lastFired: 0,
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color: categoryColors[data.category] || '#60a5fa'
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});
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});
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// Füge synaptische Eigenschaften zu allen Kanten hinzu
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cy.edges().forEach(edge => {
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const data = edge.data();
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edge.data({
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...data,
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strength: data.strength || 0.5,
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conductionVelocity: Math.random() * 0.5 + 0.3,
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latency: Math.random() * 100 + 50
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});
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});
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// Wende neuronales Styling an
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cy.style()
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.selector('node')
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.style({
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'background-color': 'data(color)',
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'label': 'data(label)',
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'color': '#fff',
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'text-background-color': 'rgba(0, 0, 0, 0.7)',
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'text-background-opacity': 0.8,
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'text-background-padding': '4px',
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'text-valign': 'center',
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'text-halign': 'center',
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'font-size': 16,
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'width': 'mapData(neuronSize, 3, 10, 30, 60)',
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'height': 'mapData(neuronSize, 3, 10, 30, 60)',
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'border-width': 2,
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'border-color': '#fff',
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'border-opacity': 0.8,
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'overlay-padding': 4,
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'z-index': 10,
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'shape': 'ellipse',
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'background-opacity': 0.85,
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'shadow-blur': 'mapData(neuronActivity, 0.3, 1, 10, 20)',
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'shadow-color': 'data(color)',
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'shadow-opacity': 0.6,
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'shadow-offset-x': 0,
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'shadow-offset-y': 0
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})
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.selector('edge')
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.style({
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'width': 'mapData(strength, 0.2, 1, 1, 3)',
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'line-color': '#a78bfa',
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'line-opacity': 'mapData(strength, 0.2, 1, 0.4, 0.8)',
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'target-arrow-color': '#a78bfa',
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'target-arrow-shape': 'none',
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'curve-style': 'bezier',
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'control-point-distances': [20, -20],
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'control-point-weights': [0.5, 0.5],
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'edge-distances': 'intersection',
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'loop-direction': '-45deg',
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'loop-sweep': '-90deg',
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'line-style': function(ele) {
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const strength = ele.data('strength');
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if (strength <= 0.4) return 'dotted';
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if (strength <= 0.6) return 'dashed';
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return 'solid';
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}
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})
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.update();
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// Starte neuronale Aktivitätssimulation
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startNeuralActivitySimulation(cy);
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}
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// Modifiziere die updateMindmap Funktion
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function updateMindmap() {
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if (!cy) return;
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// Bestehende Elemente entfernen
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cy.elements().remove();
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// Neue Knoten hinzufügen
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mindmapData.nodes.forEach(node => {
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cy.add({
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group: 'nodes',
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data: {
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id: node.id,
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label: node.name,
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category: node.category,
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description: node.description,
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hasChildren: node.has_children,
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expanded: false,
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color: node.color_code || mindmapConfig.categories[node.category]?.color || '#60a5fa',
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icon: node.icon || mindmapConfig.categories[node.category]?.icon || 'fa-solid fa-circle'
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}
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});
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});
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// Neue Kanten hinzufügen
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mindmapData.edges.forEach(edge => {
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cy.add({
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group: 'edges',
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data: {
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source: edge.source,
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target: edge.target,
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strength: edge.strength || 0.5
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}
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});
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});
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// Layout aktualisieren
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cy.layout(mindmapStyles.layout.base).run();
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}
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/**
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* Erweitert die Mindmap mit dem neuronalen Netzwerk-Design
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*/
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function enhanceMindmap() {
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// Auf die bestehende Cytoscape-Instanz zugreifen
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const cy = window.cy;
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if (!cy) {
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console.error('Keine Cytoscape-Instanz gefunden.');
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return;
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}
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// Aktualisiere das Layout für eine bessere Verteilung
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cy.layout({
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name: 'cose',
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animate: true,
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animationDuration: 2000,
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nodeDimensionsIncludeLabels: true,
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padding: 100,
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spacingFactor: 2,
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randomize: true,
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fit: true,
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componentSpacing: 150,
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nodeRepulsion: 10000,
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edgeElasticity: 150,
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nestingFactor: 1.5,
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gravity: 100,
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initialTemp: 1000,
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coolingFactor: 0.95,
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minTemp: 1
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}).run();
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|
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// Neuronen-Namen mit besserer Lesbarkeit umgestalten
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cy.style()
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.selector('node')
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.style({
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'text-background-color': 'rgba(10, 14, 25, 0.7)',
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'text-background-opacity': 0.7,
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'text-background-padding': '2px',
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'text-border-opacity': 0.2,
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'text-border-width': 1,
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'text-border-color': '#8b5cf6'
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})
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.update();
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// Sicherstellen, dass alle Knoten Neuronen-Eigenschaften haben
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cy.nodes().forEach(node => {
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if (!node.data('neuronSize')) {
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const neuronSize = Math.floor(Math.random() * 8) + 3;
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node.data('neuronSize', neuronSize);
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}
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if (!node.data('neuronActivity')) {
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const neuronActivity = Math.random() * 0.7 + 0.3;
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node.data('neuronActivity', neuronActivity);
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}
|
|
|
|
// Zusätzliche Neuronale Eigenschaften
|
|
node.data('pulseFrequency', Math.random() * 4 + 2); // Pulsfrequenz (2-6 Hz)
|
|
node.data('refractionPeriod', Math.random() * 300 + 700); // Refraktionszeit (700-1000ms)
|
|
node.data('threshold', Math.random() * 0.3 + 0.6); // Aktivierungsschwelle (0.6-0.9)
|
|
});
|
|
|
|
// Sicherstellen, dass alle Kanten Synapse-Eigenschaften haben
|
|
cy.edges().forEach(edge => {
|
|
if (!edge.data('strength')) {
|
|
const strength = Math.random() * 0.6 + 0.2;
|
|
edge.data('strength', strength);
|
|
}
|
|
|
|
// Zusätzliche synaptische Eigenschaften
|
|
edge.data('conductionVelocity', Math.random() * 0.5 + 0.3); // Leitungsgeschwindigkeit (0.3-0.8)
|
|
edge.data('latency', Math.random() * 100 + 50); // Signalverzögerung (50-150ms)
|
|
});
|
|
|
|
// Neuronales Netzwerk-Stil anwenden
|
|
applyNeuralNetworkStyle(cy);
|
|
|
|
console.log('Mindmap wurde erfolgreich im neuronalen Netzwerk-Stil aktualisiert');
|
|
|
|
// Spezielle Effekte für das neuronale Netzwerk hinzufügen
|
|
startNeuralActivitySimulation(cy);
|
|
}
|
|
|
|
/**
|
|
* Wendet detaillierte neuronale Netzwerkstile auf die Mindmap an
|
|
* @param {Object} cy - Cytoscape-Instanz
|
|
*/
|
|
function applyNeuralNetworkStyle(cy) {
|
|
cy.style()
|
|
.selector('node')
|
|
.style({
|
|
'label': 'data(label)',
|
|
'text-valign': 'center',
|
|
'text-halign': 'center',
|
|
'color': 'data(fontColor)',
|
|
'text-outline-width': 2,
|
|
'text-outline-color': 'rgba(0,0,0,0.8)',
|
|
'text-outline-opacity': 0.9,
|
|
'font-size': 'data(fontSize)',
|
|
'font-weight': '500',
|
|
'text-margin-y': 8,
|
|
'width': function(ele) {
|
|
if (ele.data('isCenter')) return 120;
|
|
return ele.data('neuronSize') ? ele.data('neuronSize') * 10 : 80;
|
|
},
|
|
'height': function(ele) {
|
|
if (ele.data('isCenter')) return 120;
|
|
return ele.data('neuronSize') ? ele.data('neuronSize') * 10 : 80;
|
|
},
|
|
'background-color': 'data(color)',
|
|
'background-opacity': 0.9,
|
|
'border-width': 2,
|
|
'border-color': '#ffffff',
|
|
'border-opacity': 0.8,
|
|
'shape': 'ellipse',
|
|
'transition-property': 'background-color, background-opacity, border-width',
|
|
'transition-duration': '0.3s',
|
|
'transition-timing-function': 'ease-in-out'
|
|
})
|
|
.selector('edge')
|
|
.style({
|
|
'width': function(ele) {
|
|
return ele.data('strength') ? ele.data('strength') * 3 : 1;
|
|
},
|
|
'curve-style': 'bezier',
|
|
'line-color': function(ele) {
|
|
const sourceColor = ele.source().data('color');
|
|
return sourceColor || '#8a8aaa';
|
|
},
|
|
'line-opacity': function(ele) {
|
|
return ele.data('strength') ? ele.data('strength') * 0.8 : 0.4;
|
|
},
|
|
'line-style': function(ele) {
|
|
const strength = ele.data('strength');
|
|
if (!strength) return 'solid';
|
|
if (strength <= 0.4) return 'dotted';
|
|
if (strength <= 0.6) return 'dashed';
|
|
return 'solid';
|
|
},
|
|
'target-arrow-shape': 'none',
|
|
'source-endpoint': '0% 50%',
|
|
'target-endpoint': '100% 50%',
|
|
'transition-property': 'line-opacity, width',
|
|
'transition-duration': '0.3s',
|
|
'transition-timing-function': 'ease-in-out'
|
|
})
|
|
.update();
|
|
}
|
|
|
|
// Vereinfachte neuronale Aktivitätssimulation
|
|
function startNeuralActivitySimulation(cy) {
|
|
if (window.neuralInterval) clearInterval(window.neuralInterval);
|
|
|
|
const nodes = cy.nodes();
|
|
let currentTime = Date.now();
|
|
|
|
function simulateNeuralActivity() {
|
|
currentTime = Date.now();
|
|
|
|
nodes.forEach(node => {
|
|
const data = node.data();
|
|
const lastFired = data.lastFired || 0;
|
|
const timeSinceLastFire = currentTime - lastFired;
|
|
|
|
if (timeSinceLastFire > data.refractionPeriod) {
|
|
if (Math.random() < data.neuronActivity * 0.1) {
|
|
fireNeuron(node, true, currentTime);
|
|
}
|
|
}
|
|
});
|
|
}
|
|
|
|
function fireNeuron(node, state, currentTime) {
|
|
const data = node.data();
|
|
data.lastFired = currentTime;
|
|
|
|
node.style({
|
|
'background-opacity': 1,
|
|
'border-width': 3
|
|
});
|
|
|
|
setTimeout(() => {
|
|
node.style({
|
|
'background-opacity': 0.9,
|
|
'border-width': 2
|
|
});
|
|
}, 200);
|
|
|
|
if (state) {
|
|
propagateSignal(node, currentTime);
|
|
}
|
|
}
|
|
|
|
function propagateSignal(sourceNode, currentTime) {
|
|
const outgoingEdges = sourceNode.connectedEdges();
|
|
|
|
outgoingEdges.forEach(edge => {
|
|
const targetNode = edge.target();
|
|
const edgeData = edge.data();
|
|
const latency = edgeData.latency;
|
|
|
|
edge.style({
|
|
'line-opacity': 0.8,
|
|
'width': edgeData.strength * 3
|
|
});
|
|
|
|
setTimeout(() => {
|
|
edge.style({
|
|
'line-opacity': edgeData.strength * 0.6,
|
|
'width': edgeData.strength * 2
|
|
});
|
|
}, 200);
|
|
|
|
setTimeout(() => {
|
|
const targetData = targetNode.data();
|
|
const timeSinceLastFire = currentTime - (targetData.lastFired || 0);
|
|
|
|
if (timeSinceLastFire > targetData.refractionPeriod) {
|
|
const signalStrength = edgeData.strength *
|
|
edgeData.conductionVelocity *
|
|
sourceNode.data('neuronActivity');
|
|
|
|
if (signalStrength > targetData.threshold) {
|
|
fireNeuron(targetNode, true, currentTime + latency);
|
|
}
|
|
}
|
|
}, latency);
|
|
});
|
|
}
|
|
|
|
window.neuralInterval = setInterval(simulateNeuralActivity, 100);
|
|
}
|
|
|
|
// Hilfe-Funktion zum Hinzufügen eines Flash-Hinweises
|
|
function showFlash(message, type = 'info') {
|
|
const flashContainer = createFlashContainer();
|
|
const flash = document.createElement('div');
|
|
flash.className = `flash-message ${type}`;
|
|
flash.textContent = message;
|
|
flashContainer.appendChild(flash);
|
|
document.body.appendChild(flashContainer);
|
|
|
|
setTimeout(() => {
|
|
flash.classList.add('show');
|
|
setTimeout(() => {
|
|
flash.classList.remove('show');
|
|
setTimeout(() => {
|
|
flashContainer.remove();
|
|
}, 300);
|
|
}, 3000);
|
|
}, 100);
|
|
}
|
|
|
|
/**
|
|
* Zeigt eine Benachrichtigung in der UI an
|
|
* @param {string|object} message - Die anzuzeigende Nachricht oder ein Fehlerobjekt
|
|
* @param {string} type - Der Typ der Benachrichtigung ('info', 'success', 'warning', 'error')
|
|
* @param {number} duration - Die Anzeigedauer in Millisekunden (Standard: 3000)
|
|
*/
|
|
function showUINotification(message, type = 'info', duration = 3000) {
|
|
// Überprüfe und formatiere die Nachricht
|
|
let displayMessage;
|
|
if (typeof message === 'object') {
|
|
if (message.message) {
|
|
displayMessage = message.message;
|
|
} else if (message.error) {
|
|
displayMessage = message.error;
|
|
} else if (message.details) {
|
|
displayMessage = message.details;
|
|
} else {
|
|
console.error('Ungültiges Nachrichtenobjekt:', message);
|
|
displayMessage = 'Ein unbekannter Fehler ist aufgetreten';
|
|
}
|
|
} else if (typeof message === 'string') {
|
|
displayMessage = message;
|
|
} else {
|
|
console.error('Ungültige Nachricht für UI-Benachrichtigung:', message);
|
|
displayMessage = 'Ein unbekannter Fehler ist aufgetreten';
|
|
}
|
|
|
|
// Validiere den Typ
|
|
const validTypes = ['info', 'success', 'warning', 'error'];
|
|
if (!validTypes.includes(type)) {
|
|
console.warn(`Ungültiger Benachrichtigungstyp: ${type}. Verwende 'info' als Fallback.`);
|
|
type = 'info';
|
|
}
|
|
|
|
// Validiere die Dauer
|
|
if (typeof duration !== 'number' || duration < 1000 || duration > 10000) {
|
|
console.warn(`Ungültige Dauer: ${duration}ms. Verwende 3000ms als Fallback.`);
|
|
duration = 3000;
|
|
}
|
|
|
|
// Zeige die Benachrichtigung an
|
|
showFlash(displayMessage, type);
|
|
|
|
// Logging für Debugging-Zwecke
|
|
console.log(`UI-Benachrichtigung [${type}]:`, displayMessage);
|
|
}
|
|
|
|
// Hilfsfunktion zum Erstellen eines Flash-Containers, falls keiner existiert
|
|
function createFlashContainer() {
|
|
const container = document.createElement('div');
|
|
container.id = 'flash-messages';
|
|
container.className = 'fixed top-4 right-4 z-50 w-64';
|
|
document.body.appendChild(container);
|
|
return container;
|
|
}
|
|
|
|
// Funktion zum Laden der Subthemen
|
|
async function loadSubthemes(node) {
|
|
try {
|
|
const mindmapData = await loadMindmapData(node.id());
|
|
if (!mindmapData) return;
|
|
|
|
showFlash('Lade Subthemen...', 'info');
|
|
|
|
const mindmapContainer = document.querySelector('.mindmap-container');
|
|
const newPage = document.createElement('div');
|
|
newPage.className = 'mindmap-page';
|
|
newPage.style.display = 'none';
|
|
|
|
const header = document.createElement('div');
|
|
header.className = 'mindmap-header';
|
|
header.innerHTML = `
|
|
<button class="back-button" onclick="goBack()">
|
|
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
|
<path d="M19 12H5M12 19l-7-7 7-7"/>
|
|
</svg>
|
|
</button>
|
|
<h2 class="mindmap-title">${node.data('label')}</h2>
|
|
`;
|
|
|
|
const newContainer = document.createElement('div');
|
|
newContainer.id = `cy-${node.id()}`;
|
|
newContainer.className = 'mindmap-view';
|
|
|
|
newPage.appendChild(header);
|
|
newPage.appendChild(newContainer);
|
|
mindmapContainer.appendChild(newPage);
|
|
|
|
const newCy = cytoscape({
|
|
container: newContainer,
|
|
elements: [
|
|
...mindmapData.nodes.map(node => ({
|
|
data: {
|
|
id: node.id,
|
|
label: node.name,
|
|
category: node.category,
|
|
description: node.description,
|
|
hasChildren: node.has_children,
|
|
expanded: false,
|
|
color: node.color_code,
|
|
fontColor: '#ffffff',
|
|
fontSize: 16
|
|
}
|
|
})),
|
|
...mindmapData.edges.map(edge => ({
|
|
data: {
|
|
source: edge.source_id,
|
|
target: edge.target_id,
|
|
strength: edge.strength || 0.5
|
|
}
|
|
}))
|
|
],
|
|
style: cy.style(),
|
|
layout: mindmapStyles.layout.base
|
|
});
|
|
|
|
// Event-Listener für die neue Mindmap
|
|
newCy.on('tap', 'node', async function(evt) {
|
|
const clickedNode = evt.target;
|
|
if (clickedNode.data('hasChildren') && !clickedNode.data('expanded')) {
|
|
await loadSubthemes(clickedNode);
|
|
}
|
|
});
|
|
|
|
// Alte Seite ausblenden und neue anzeigen
|
|
cy.container().style.display = 'none';
|
|
newPage.style.display = 'block';
|
|
|
|
showFlash('Subthemen erfolgreich geladen', 'success');
|
|
|
|
} catch (error) {
|
|
console.error('Fehler beim Laden der Subthemen:', error);
|
|
showFlash('Fehler beim Laden der Subthemen', 'error');
|
|
}
|
|
}
|
|
|
|
// Funktion zum Zurücknavigieren
|
|
function goBack() {
|
|
const currentPage = document.querySelector('.mindmap-page:not([style*="display: none"])');
|
|
if (currentPage) {
|
|
currentPage.style.display = 'none';
|
|
cy.container().style.display = 'block';
|
|
}
|
|
}
|
|
|
|
// CSS-Styles für die neue Seite
|
|
const style = document.createElement('style');
|
|
style.textContent = `
|
|
.mindmap-page {
|
|
position: absolute;
|
|
top: 0;
|
|
left: 0;
|
|
width: 100%;
|
|
height: 100%;
|
|
background: var(--bg-color, #1a1a1a);
|
|
z-index: 1000;
|
|
}
|
|
|
|
.mindmap-header {
|
|
display: flex;
|
|
align-items: center;
|
|
padding: 1rem;
|
|
background: rgba(0, 0, 0, 0.2);
|
|
border-bottom: 1px solid rgba(255, 255, 255, 0.1);
|
|
}
|
|
|
|
.back-button {
|
|
background: none;
|
|
border: none;
|
|
color: #fff;
|
|
cursor: pointer;
|
|
padding: 0.5rem;
|
|
margin-right: 1rem;
|
|
border-radius: 50%;
|
|
transition: background-color 0.3s;
|
|
}
|
|
|
|
.back-button:hover {
|
|
background: rgba(255, 255, 255, 0.1);
|
|
}
|
|
|
|
.mindmap-title {
|
|
color: #fff;
|
|
font-size: 1.5rem;
|
|
font-weight: 600;
|
|
margin: 0;
|
|
}
|
|
|
|
.mindmap-view {
|
|
width: 100%;
|
|
height: calc(100% - 4rem);
|
|
}
|
|
|
|
/* Neuronale Effekte */
|
|
.cy-container {
|
|
background: linear-gradient(45deg, #1a1a1a, #2a2a2a);
|
|
}
|
|
|
|
.cy-container node {
|
|
transition: all 0.3s ease;
|
|
}
|
|
|
|
.cy-container node:hover {
|
|
filter: brightness(1.2);
|
|
}
|
|
|
|
.cy-node-icon {
|
|
position: absolute;
|
|
pointer-events: none;
|
|
z-index: 1001;
|
|
color: #fff;
|
|
text-shadow: 0 2px 8px rgba(0,0,0,0.25);
|
|
}
|
|
|
|
/* Verbesserte Flash-Benachrichtigungen */
|
|
#flash-messages {
|
|
position: fixed;
|
|
top: 1rem;
|
|
right: 1rem;
|
|
z-index: 9999;
|
|
display: flex;
|
|
flex-direction: column;
|
|
gap: 0.5rem;
|
|
max-width: 24rem;
|
|
}
|
|
|
|
.flash-message {
|
|
padding: 1rem 1.25rem;
|
|
border-radius: 0.5rem;
|
|
background: rgba(17, 24, 39, 0.95);
|
|
color: #fff;
|
|
font-size: 0.875rem;
|
|
line-height: 1.25rem;
|
|
box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1),
|
|
0 2px 4px -1px rgba(0, 0, 0, 0.06);
|
|
transform: translateX(120%);
|
|
opacity: 0;
|
|
transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
|
|
backdrop-filter: blur(8px);
|
|
border: 1px solid rgba(255, 255, 255, 0.1);
|
|
}
|
|
|
|
.flash-message.show {
|
|
transform: translateX(0);
|
|
opacity: 1;
|
|
}
|
|
|
|
.flash-message.info {
|
|
border-left: 4px solid #3b82f6;
|
|
background: linear-gradient(to right, rgba(59, 130, 246, 0.1), rgba(17, 24, 39, 0.95));
|
|
}
|
|
|
|
.flash-message.success {
|
|
border-left: 4px solid #10b981;
|
|
background: linear-gradient(to right, rgba(16, 185, 129, 0.1), rgba(17, 24, 39, 0.95));
|
|
}
|
|
|
|
.flash-message.warning {
|
|
border-left: 4px solid #f59e0b;
|
|
background: linear-gradient(to right, rgba(245, 158, 11, 0.1), rgba(17, 24, 39, 0.95));
|
|
}
|
|
|
|
.flash-message.error {
|
|
border-left: 4px solid #ef4444;
|
|
background: linear-gradient(to right, rgba(239, 68, 68, 0.1), rgba(17, 24, 39, 0.95));
|
|
}
|
|
|
|
.flash-message::before {
|
|
content: '';
|
|
position: absolute;
|
|
top: 0;
|
|
left: 0;
|
|
width: 100%;
|
|
height: 100%;
|
|
background: linear-gradient(45deg,
|
|
rgba(255, 255, 255, 0.1) 0%,
|
|
rgba(255, 255, 255, 0) 100%);
|
|
pointer-events: none;
|
|
}
|
|
|
|
@keyframes pulse {
|
|
0% { transform: scale(1); }
|
|
50% { transform: scale(1.02); }
|
|
100% { transform: scale(1); }
|
|
}
|
|
|
|
.flash-message.show {
|
|
animation: pulse 0.3s ease-in-out;
|
|
}
|
|
|
|
/* Neuronale Effekte für Benachrichtigungen */
|
|
.flash-message.info:hover {
|
|
box-shadow: 0 0 15px rgba(59, 130, 246, 0.3);
|
|
}
|
|
|
|
.flash-message.success:hover {
|
|
box-shadow: 0 0 15px rgba(16, 185, 129, 0.3);
|
|
}
|
|
|
|
.flash-message.warning:hover {
|
|
box-shadow: 0 0 15px rgba(245, 158, 11, 0.3);
|
|
}
|
|
|
|
.flash-message.error:hover {
|
|
box-shadow: 0 0 15px rgba(239, 68, 68, 0.3);
|
|
}
|
|
`;
|
|
document.head.appendChild(style);
|
|
|
|
// Initialisiere die Mindmap beim Laden der Seite
|
|
document.addEventListener('DOMContentLoaded', initializeMindmap);
|