2054 lines
99 KiB
JavaScript
2054 lines
99 KiB
JavaScript
(() => {
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'use strict';
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const canvas = document.getElementById('brain');
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const ctx = canvas.getContext('2d', {alpha: false});
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const $ = (id) => document.getElementById(id);
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const GOLDEN = Math.PI * (3 - Math.sqrt(5));
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const CORTEX_PALETTE = [
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[82, 231, 255], [145, 126, 255], [255, 105, 178], [93, 255, 189],
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[255, 180, 82], [75, 143, 255], [196, 117, 255], [255, 102, 92],
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[135, 231, 105], [78, 207, 224], [235, 215, 98], [151, 205, 255]
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];
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const MODE_CONFIG = {
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living: {label: 'LIVING', detail: 'ruhige Eigenaktivität', className: 'living', color: [82, 231, 255], duration: 0},
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thinking: {label: 'AI-THINK', detail: 'verknüpft und bewertet', className: 'thinking', color: [255, 180, 82], duration: 10500},
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researching: {label: 'RESEARCH', detail: 'klärt Unsicherheiten', className: 'researching', color: [93, 255, 189], duration: 11500},
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processing: {label: 'PROCESSING', detail: 'Agent- und Wissenssuche', className: 'processing', color: [183, 117, 255], duration: 7800},
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learning: {label: 'LEARNING', detail: 'indexiert bei stabiler Ansicht', className: 'learning', color: [75, 123, 255], duration: 6500}
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};
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const LOD_CONFIG = {
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localDistance: 0.085,
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coarseDistance: 0.23,
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localMaxMembers: 24,
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coarseMaxChildren: 18,
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revealNodeMS: 30000,
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revealParentMS: 42000,
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rebuildThrottleMS: 120
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};
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const state = {
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nodes: [], edges: [], clusters: [], clusterByKey: new Map(), nodeById: new Map(), edgeById: new Map(), adjacency: new Map(),
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active: new Map(), edgeActive: new Map(), particles: [], waves: [], pulses: 0,
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yaw: 0.18, pitch: -0.12, zoom: 1.02, autoRotate: true, labels: true, edgesVisible: true, cortexVisible: true,
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dragging: false, moved: false, lastX: 0, lastY: 0, hover: null, selected: null, projected: [],
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width: innerWidth, height: innerHeight, dpr: Math.min(devicePixelRatio || 1, 2), last: performance.now(),
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lastLogFingerprint: new Map(), recentImportant: [], clusterActive: new Map(),
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mode: 'living', modeUntil: 0, activityEnergy: 0, targetEnergy: 0, focusClusterKey: '', focusNodeID: '',
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cameraTargetYaw: null, cameraTargetPitch: null, zoomTarget: 1.02, nextAmbientAt: performance.now() + 1800,
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ambientCursor: 0, bursts: [], brainStatus: null,
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lodEnabled: true, lodLeaves: [], lodCoarse: [], lodGroupById: new Map(), lodLeafByNode: new Map(), lodCoarseByNode: new Map(),
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lodOpenUntil: new Map(), lodHotUntil: new Map(), lodDirty: true, lodLastBuild: 0, lodNextExpiry: 0, lodZoomBand: 2,
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renderNodes: [], renderEdges: [], renderIdleEdges: [], renderNodeById: new Map(), renderEdgeById: new Map(), visibleForNode: new Map(),
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edgeRenderMap: new Map(), renderActive: new Map(), renderEdgeActive: new Map(), renderStats: {nodes: 0, edges: 0, hiddenNodes: 0, hiddenEdges: 0},
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fullSnapshot: null, fullNodeById: new Map(), runtimeSettings: {learning_enabled: true, thinking_enabled: true, learning_categories: [], display_categories: [], thinking_categories: [], view_mode: 'neural', max_display_nodes: 0},
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availableCategories: [], viewMode: 'neural', honeycombNodes: [], honeycombSpacing: 0, settingsOpen: false, settingsDraft: null,
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forcedDisplayUntil: new Map(), nextDisplayLimitExpiry: 0, graphVersion: null, displaySignature: '', displayLimitStats: {limit: 0, eligible: 0, shown: 0}
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};
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function resize() {
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state.width = innerWidth;
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state.height = innerHeight;
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state.dpr = Math.min(devicePixelRatio || 1, 2);
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canvas.width = Math.floor(state.width * state.dpr);
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canvas.height = Math.floor(state.height * state.dpr);
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canvas.style.width = state.width + 'px';
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canvas.style.height = state.height + 'px';
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ctx.setTransform(state.dpr, 0, 0, state.dpr, 0, 0);
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}
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addEventListener('resize', resize);
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resize();
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async function api(path, options = {}) {
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const res = await fetch(path, {headers: {'Content-Type': 'application/json', ...(options.headers || {})}, ...options});
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const data = await res.json().catch(() => ({}));
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if (!res.ok) throw new Error(data.error || `HTTP ${res.status}`);
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return data;
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}
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function categoryFilterMatches(node, categories) {
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if (!categories || categories.length === 0) return true;
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const wanted = new Set(categories.map(value => String(value).trim().toLowerCase()).filter(Boolean));
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if (wanted.has('*')) return true;
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const nodeCategories = (node.categories || []).map(value => String(value).trim().toLowerCase()).filter(Boolean);
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if (nodeCategories.length === 0) return wanted.has('__uncategorized__');
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return nodeCategories.some(category => wanted.has(category));
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}
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function activeForcedDisplayIDs(now = Date.now()) {
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const active = new Set();
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let next = 0;
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for (const [id, until] of state.forcedDisplayUntil) {
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if (until <= now) {
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state.forcedDisplayUntil.delete(id);
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continue;
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}
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active.add(id);
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if (!next || until < next) next = until;
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}
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state.nextDisplayLimitExpiry = next;
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return active;
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}
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function nodeLimitScore(node, degree, forced) {
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if (forced.has(node.id)) return 1e12 + degree;
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let score = Math.min(5000, degree * 8) + Math.min(100, Number(node.weight || 1) * 4);
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if (node.kind === 'knowledge') score += 120;
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if (node.kind === 'ai-think') score += 230;
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if (node.status === 'staging') score += 180;
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if (node.kind === 'external') score += 105;
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if (node.kind === 'category') score += 45;
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if (node.kind === 'source') score += 30;
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if (state.active.has(node.id)) score += 500000;
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if (state.selected?.id === node.id || state.hover?.id === node.id) score += 750000;
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return score + pseudo(node.id, 71) * 5;
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}
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function limitSnapshot(snapshot, rawLimit) {
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const limit = Math.max(0, Math.min(500000, Math.trunc(Number(rawLimit) || 0)));
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const eligible = snapshot.nodes.length;
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if (!limit || eligible <= limit) {
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state.displayLimitStats = {limit, eligible, shown: eligible};
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return snapshot;
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}
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const forced = activeForcedDisplayIDs();
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const degree = new Map(snapshot.nodes.map(node => [node.id, 0]));
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for (const edge of snapshot.edges) {
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degree.set(edge.source, (degree.get(edge.source) || 0) + 1);
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degree.set(edge.target, (degree.get(edge.target) || 0) + 1);
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}
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const selected = new Set();
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const buckets = new Map();
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const candidates = snapshot.nodes.map(node => ({node, score: nodeLimitScore(node, degree.get(node.id) || 0, forced)}));
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candidates.sort((a, b) => b.score - a.score || a.node.id.localeCompare(b.node.id));
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for (const candidate of candidates) {
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if (!forced.has(candidate.node.id) || selected.size >= limit) continue;
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selected.add(candidate.node.id);
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}
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for (const candidate of candidates) {
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if (selected.has(candidate.node.id)) continue;
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const key = categoryKey(candidate.node) || 'Sonstige';
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if (!buckets.has(key)) buckets.set(key, []);
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buckets.get(key).push(candidate);
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}
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const bucketList = [...buckets.values()].sort((a, b) => (b[0]?.score || 0) - (a[0]?.score || 0));
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for (const bucket of bucketList) {
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if (selected.size >= limit || !bucket.length) break;
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selected.add(bucket.shift().node.id);
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}
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const remainder = [];
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for (const bucket of bucketList) remainder.push(...bucket);
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remainder.sort((a, b) => b.score - a.score || a.node.id.localeCompare(b.node.id));
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for (const candidate of remainder) {
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if (selected.size >= limit) break;
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selected.add(candidate.node.id);
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}
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const nodes = snapshot.nodes.filter(node => selected.has(node.id));
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const edges = snapshot.edges.filter(edge => selected.has(edge.source) && selected.has(edge.target));
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state.displayLimitStats = {limit, eligible, shown: nodes.length};
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return {...snapshot, nodes, edges};
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}
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function filteredSnapshot(snapshot) {
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const filters = state.runtimeSettings.display_categories || [];
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let filtered = snapshot;
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if (filters.length) {
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const visible = new Set();
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const noteKinds = new Set(['knowledge', 'ai-think', 'external']);
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for (const node of snapshot.nodes) {
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if (noteKinds.has(node.kind) && categoryFilterMatches(node, filters)) visible.add(node.id);
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if (node.kind === 'category' && filters.some(value => String(value).toLowerCase() === String(node.label || '').toLowerCase())) visible.add(node.id);
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}
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for (const edge of snapshot.edges) {
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if (visible.has(edge.source)) visible.add(edge.target);
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if (visible.has(edge.target)) visible.add(edge.source);
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}
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filtered = {
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...snapshot,
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nodes: snapshot.nodes.filter(node => visible.has(node.id)),
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edges: snapshot.edges.filter(edge => visible.has(edge.source) && visible.has(edge.target))
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};
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}
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return limitSnapshot(filtered, state.runtimeSettings.max_display_nodes);
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}
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function currentDisplaySignature() {
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const forced = [...activeForcedDisplayIDs()].sort();
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return JSON.stringify({categories: state.runtimeSettings.display_categories || [], limit: Number(state.runtimeSettings.max_display_nodes || 0), forced});
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}
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async function loadRuntimeConfiguration() {
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try {
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const [settings, categories] = await Promise.all([api('/api/runtime-settings'), api('/api/categories')]);
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state.runtimeSettings = {...state.runtimeSettings, ...settings};
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state.availableCategories = categories.categories || [];
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state.viewMode = state.runtimeSettings.view_mode === 'honeycomb' ? 'honeycomb' : 'neural';
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syncRuntimeControls();
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renderCategoryFilters();
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} catch {
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syncRuntimeControls();
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}
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}
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function syncRuntimeControls() {
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const learning = Boolean(state.runtimeSettings.learning_enabled);
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const thinking = Boolean(state.runtimeSettings.thinking_enabled);
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const panelSettings = state.settingsOpen && state.settingsDraft ? state.settingsDraft : state.runtimeSettings;
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const learningButton = $('toggleLearning');
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const thinkingButton = $('toggleThinking');
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if (learningButton) learningButton.classList.toggle('active', learning);
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if (thinkingButton) thinkingButton.classList.toggle('active', thinking);
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if ($('settingsLearning')) $('settingsLearning').checked = Boolean(panelSettings.learning_enabled);
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if ($('settingsThinking')) $('settingsThinking').checked = Boolean(panelSettings.thinking_enabled);
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if ($('settingsViewNeural')) $('settingsViewNeural').classList.toggle('active', panelSettings.view_mode !== 'honeycomb');
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if ($('settingsViewHoneycomb')) $('settingsViewHoneycomb').classList.toggle('active', panelSettings.view_mode === 'honeycomb');
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if ($('settingsMaxDisplayNodes')) $('settingsMaxDisplayNodes').value = String(Math.max(0, Number(panelSettings.max_display_nodes || 0)));
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updateDisplayLimitHint(panelSettings.max_display_nodes);
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const enrichButton = $('enrichNow');
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if (enrichButton && !state.brainStatus?.enrich_running) enrichButton.disabled = !thinking;
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if (!learning && !thinking) setVisualMode('living');
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updateViewButtons();
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}
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function updateDisplayLimitHint(value = state.runtimeSettings.max_display_nodes) {
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const hint = $('displayLimitHint');
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if (!hint) return;
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const limit = Math.max(0, Math.trunc(Number(value) || 0));
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if (!limit) {
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hint.textContent = 'Unbegrenzt · Kategorie-Filter und LOD bestimmen die Renderlast.';
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return;
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}
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const stats = state.displayLimitStats || {};
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const eligible = Number(stats.eligible || state.fullSnapshot?.nodes?.length || 0);
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hint.textContent = `Maximal ${limit.toLocaleString('de-DE')} Nodes · aktuell ${Math.min(limit, eligible).toLocaleString('de-DE')} von ${eligible.toLocaleString('de-DE')} auswählbar.`;
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}
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function categoryLabel(name) {
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return name === '__uncategorized__' ? 'Ohne Kategorie' : name;
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}
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function filterSet(key) {
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const source = state.settingsDraft || state.runtimeSettings;
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return new Set((source[`${key}_categories`] || []).map(value => String(value).toLowerCase()));
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}
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function renderCategoryFilters(search = '') {
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const query = String(search || '').trim().toLowerCase();
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const targets = {learning: $('learningCategoryList'), display: $('displayCategoryList'), thinking: $('thinkingCategoryList')};
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for (const [key, target] of Object.entries(targets)) {
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if (!target) continue;
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const selected = filterSet(key);
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target.innerHTML = '';
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const categories = state.availableCategories.filter(category => !query || categoryLabel(category.name).toLowerCase().includes(query));
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for (const category of categories) {
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const label = document.createElement('label');
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label.className = 'category-option';
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const checked = selected.has(String(category.name).toLowerCase());
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label.innerHTML = `<input type="checkbox" data-category-filter="${key}" value="${escapeHTML(category.name)}" ${checked ? 'checked' : ''}><span>${escapeHTML(categoryLabel(category.name))}<em>${Number(category.count || 0).toLocaleString('de-DE')}</em></span>`;
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target.appendChild(label);
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}
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if (!categories.length) target.innerHTML = '<span class="empty-filter">Keine passende Kategorie</span>';
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}
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}
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function collectCategoryFilter(key) {
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return [...document.querySelectorAll(`[data-category-filter="${key}"]:checked`)].map(input => input.value);
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}
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async function persistRuntimeSettings(settings = state.runtimeSettings) {
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const normalized = {
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learning_enabled: Boolean(settings.learning_enabled),
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thinking_enabled: Boolean(settings.thinking_enabled),
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learning_categories: [...(settings.learning_categories || [])],
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display_categories: [...(settings.display_categories || [])],
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thinking_categories: [...(settings.thinking_categories || [])],
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view_mode: settings.view_mode === 'honeycomb' ? 'honeycomb' : 'neural',
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max_display_nodes: Math.max(0, Math.min(500000, Math.trunc(Number(settings.max_display_nodes) || 0)))
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};
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const previousDisplay = JSON.stringify({categories: state.runtimeSettings.display_categories || [], limit: Number(state.runtimeSettings.max_display_nodes || 0)});
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const updated = await api('/api/runtime-settings', {method: 'PUT', body: JSON.stringify(normalized)});
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state.runtimeSettings = {...normalized, ...updated};
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state.viewMode = state.runtimeSettings.view_mode;
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syncRuntimeControls();
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applyViewMode(state.viewMode, false);
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if (previousDisplay !== JSON.stringify({categories: state.runtimeSettings.display_categories || [], limit: Number(state.runtimeSettings.max_display_nodes || 0)})) {
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state.displaySignature = '';
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await loadGraph();
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}
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await loadStatus();
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return state.runtimeSettings;
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}
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function openSettingsPanel() {
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state.settingsOpen = true;
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state.settingsDraft = JSON.parse(JSON.stringify(state.runtimeSettings));
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$('settingsPanel')?.classList.remove('hidden');
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$('settingsBackdrop')?.classList.remove('hidden');
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syncRuntimeControls();
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renderCategoryFilters($('categorySearch')?.value || '');
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}
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function closeSettingsPanel() {
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state.settingsOpen = false;
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state.settingsDraft = null;
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$('settingsPanel')?.classList.add('hidden');
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$('settingsBackdrop')?.classList.add('hidden');
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}
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function applyGraphSnapshot(snap, force = false) {
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const displaySignature = currentDisplaySignature();
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if (!force && state.fullSnapshot && state.graphVersion === snap.version && state.displaySignature === displaySignature) return false;
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state.graphVersion = snap.version;
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state.displaySignature = displaySignature;
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state.fullSnapshot = snap;
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state.fullNodeById = new Map(snap.nodes.map(node => [node.id, node]));
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const filtered = filteredSnapshot(snap);
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const old = state.nodeById;
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const oldClusters = state.clusterByKey;
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state.nodes = filtered.nodes.map(n => ({...n, glow: old.get(n.id)?.glow || 0, screen: null, clusterKey: '', clusterColor: old.get(n.id)?.clusterColor || ''}));
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state.edges = filtered.edges;
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state.nodeById = new Map(state.nodes.map(n => [n.id, n]));
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state.edgeById = new Map(state.edges.map(e => [e.id, e]));
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state.adjacency = new Map();
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for (const e of state.edges) {
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if (!state.adjacency.has(e.source)) state.adjacency.set(e.source, []);
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if (!state.adjacency.has(e.target)) state.adjacency.set(e.target, []);
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state.adjacency.get(e.source).push(e);
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state.adjacency.get(e.target).push(e);
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}
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buildLayout(old, oldClusters);
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for (const node of state.nodes) {
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node.neuralX = node.x;
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node.neuralY = node.y;
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node.neuralZ = node.z;
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}
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buildHoneycombLayout();
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buildLODHierarchy();
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applyViewMode(state.runtimeSettings.view_mode || state.viewMode, false);
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$('nodeCount').textContent = state.nodes.length.toLocaleString('de-DE');
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const limit = Number(state.runtimeSettings.max_display_nodes || 0);
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const capText = limit ? ` · GPU-Limit ${limit.toLocaleString('de-DE')}` : '';
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$('nodeCount').parentElement.title = `${state.nodes.length.toLocaleString('de-DE')} angezeigt · ${snap.nodes.length.toLocaleString('de-DE')} insgesamt${capText}`;
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$('edgeCount').textContent = state.edges.length.toLocaleString('de-DE');
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updateDisplayLimitHint(limit);
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return true;
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}
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async function loadGraph() {
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try {
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const snap = await api('/api/graph');
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applyGraphSnapshot(snap, false);
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} catch {
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setSystem('offline', false);
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}
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}
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function forceDisplayNodes(ids, duration = 36000) {
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const limit = Number(state.runtimeSettings.max_display_nodes || 0);
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if (!limit || !state.fullSnapshot || !ids?.length) return false;
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const known = state.fullNodeById;
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const now = Date.now();
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let changed = false;
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for (const id of ids) {
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if (!known.has(id)) continue;
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const until = now + duration;
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if ((state.forcedDisplayUntil.get(id) || 0) < until) state.forcedDisplayUntil.set(id, until);
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if (!state.nodeById.has(id)) changed = true;
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}
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activeForcedDisplayIDs(now);
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if (changed) applyGraphSnapshot(state.fullSnapshot, true);
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return changed;
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}
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function expireForcedDisplayNodes() {
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if (!state.nextDisplayLimitExpiry || Date.now() < state.nextDisplayLimitExpiry) return;
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const before = state.forcedDisplayUntil.size;
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activeForcedDisplayIDs();
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if (before !== state.forcedDisplayUntil.size && state.fullSnapshot) applyGraphSnapshot(state.fullSnapshot, true);
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}
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function setSystem(text, ok = true) {
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$('systemState').lastChild.textContent = ' ' + text;
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$('systemState').style.color = ok ? 'var(--green)' : 'var(--red)';
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}
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async function loadStatus() {
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try {
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const status = await api('/api/status');
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state.brainStatus = status;
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if (status.runtime_settings) {
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state.runtimeSettings = {...state.runtimeSettings, ...status.runtime_settings};
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syncRuntimeControls();
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}
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renderAutonomyStatus(status);
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} catch {
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renderAutonomyStatus({ollama_ok: false, auto_enrich: false, enrich_error: 'Status nicht erreichbar'});
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}
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}
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function renderAutonomyStatus(status) {
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const panel = $('autonomyStatus');
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const button = $('enrichNow');
|
|
if (!panel || !button) return;
|
|
const runtime = status.runtime_settings || state.runtimeSettings;
|
|
const thinkingEnabled = runtime.thinking_enabled !== false;
|
|
const learningEnabled = runtime.learning_enabled !== false;
|
|
const queued = status.enrich_result === 'queued' && !status.enrich_running;
|
|
const running = Boolean(status.enrich_running || queued);
|
|
let text = '';
|
|
let cls = 'waiting';
|
|
if (!thinkingEnabled) {
|
|
text = `Living-only · Thinking pausiert${learningEnabled ? '' : ' · Learning pausiert'}.`;
|
|
cls = 'waiting';
|
|
} else if (status.enrich_running) {
|
|
text = `AI-THINK läuft · Relationen und KB-Synthese · ${status.enrich_trigger === 'manual' ? 'manuell' : 'automatisch'} · Batch ${status.enrich_batch_size || 1}`;
|
|
cls = 'running';
|
|
} else if (queued) {
|
|
text = 'AI-THINK ist eingeplant und wartet auf den sequenziellen Worker.';
|
|
cls = 'running';
|
|
} else if (!status.ollama_ok) {
|
|
text = 'Ollama/Qwen derzeit nicht bestätigt · ein manueller Start versucht die Verbindung erneut.';
|
|
cls = 'offline';
|
|
} else if (!status.auto_enrich) {
|
|
text = 'Automatik ist deaktiviert · AI-THINK kann manuell gestartet werden.';
|
|
cls = 'waiting';
|
|
} else if (status.enrich_result === 'no_candidate') {
|
|
text = `Im zuletzt geprüften Graphbereich kein Kandidat über dem Schwellwert · nächster Versuch ${nextRunText(status.next_enrich)}.`;
|
|
cls = 'waiting';
|
|
} else {
|
|
text = `Autonom aktiv · ${status.enrich_batch_size || 1} Relationsprüfungen pro Zyklus · Artikel ab ${status.article_min_sources || 3} produktiven Quellen · nächster Lauf ${nextRunText(status.next_enrich)}.`;
|
|
cls = 'waiting';
|
|
}
|
|
panel.className = `autonomy-status ${cls}`;
|
|
const pool = status.ollama_pool || {};
|
|
const persistence = status.persistence || {};
|
|
const glpi = status.glpi_kb || {};
|
|
const diagnostics = [`Ollama ${pool.healthy_nodes ?? 0}/${pool.node_count ?? 0}`, `Diskqueue ${persistence.pending_files ?? 0}`];
|
|
if (glpi.enabled) diagnostics.push(`GLPI-KB ${glpi.documents ?? 0}`);
|
|
panel.title = diagnostics.join(' · ');
|
|
const span = panel.querySelector('span');
|
|
if (span) span.textContent = text;
|
|
button.disabled = running || !thinkingEnabled;
|
|
button.classList.toggle('running', running);
|
|
const small = button.querySelector('small');
|
|
if (small) small.textContent = !thinkingEnabled ? 'PAUSIERT' : status.enrich_running ? 'LÄUFT' : queued ? 'WARTET' : 'STARTEN';
|
|
}
|
|
|
|
function nextRunText(value) {
|
|
const when = new Date(value || 0).getTime();
|
|
if (!Number.isFinite(when) || when < Date.now() - 1000) return 'bald';
|
|
const seconds = Math.max(0, Math.round((when - Date.now()) / 1000));
|
|
if (seconds < 60) return `in ${seconds}s`;
|
|
return `in ${Math.floor(seconds / 60)}m ${seconds % 60}s`;
|
|
}
|
|
|
|
function hashString(value) {
|
|
let h = 2166136261;
|
|
const s = String(value || '');
|
|
for (let i = 0; i < s.length; i++) {
|
|
h ^= s.charCodeAt(i);
|
|
h = Math.imul(h, 16777619);
|
|
}
|
|
return h >>> 0;
|
|
}
|
|
|
|
function fract(v) {
|
|
return v - Math.floor(v);
|
|
}
|
|
|
|
function pseudo(value, offset = 0) {
|
|
const h = hashString(value + ':' + offset);
|
|
return fract(Math.sin(h * 0.00000137 + offset * 12.345) * 43758.5453123);
|
|
}
|
|
|
|
function hsvToRgb(h, s, v) {
|
|
const c = v * s;
|
|
const hh = (h % 360) / 60;
|
|
const x = c * (1 - Math.abs(hh % 2 - 1));
|
|
let r = 0, g = 0, b = 0;
|
|
if (hh >= 0 && hh < 1) [r, g, b] = [c, x, 0];
|
|
else if (hh < 2) [r, g, b] = [x, c, 0];
|
|
else if (hh < 3) [r, g, b] = [0, c, x];
|
|
else if (hh < 4) [r, g, b] = [0, x, c];
|
|
else if (hh < 5) [r, g, b] = [x, 0, c];
|
|
else [r, g, b] = [c, 0, x];
|
|
const m = v - c;
|
|
return [Math.round((r + m) * 255), Math.round((g + m) * 255), Math.round((b + m) * 255)];
|
|
}
|
|
|
|
function explicitClusterKey(node) {
|
|
const cats = (node.categories || []).filter(Boolean);
|
|
const preferred = cats.find(c => !/^(AI-THINK|AI-Staging|Staging|Produktiv)$/i.test(c));
|
|
if (preferred) return preferred;
|
|
if (node.kind === 'category' && node.label) return node.label;
|
|
if (node.kind === 'ai-think') return 'AI-THINK';
|
|
return '';
|
|
}
|
|
|
|
function categoryKey(node) {
|
|
const explicit = explicitClusterKey(node);
|
|
if (explicit) return explicit;
|
|
if (node.kind === 'external') return 'Recherche';
|
|
if (node.kind === 'source') return 'Quellen';
|
|
if (node.kind === 'concept') return 'Konzepte';
|
|
return `${node.kind || 'node'}:${node.status || 'live'}`;
|
|
}
|
|
|
|
function clusterColorFor(key) {
|
|
const hue = hashString(key) % 360;
|
|
return hsvToRgb(hue, 0.48, 1);
|
|
}
|
|
|
|
function nodeColor(node, alpha = 1) {
|
|
let c = node.clusterColor || [82, 231, 255];
|
|
if (node.kind === 'ai-think' || (node.categories || []).some(x => String(x).toUpperCase() === 'AI-THINK')) c = [255, 180, 82];
|
|
else if (node.status === 'staging') c = [183, 117, 255];
|
|
else if (node.kind === 'external') c = [93, 255, 189];
|
|
else if (node.kind === 'category') c = [75, 123, 255];
|
|
else if (node.kind === 'source') c = [255, 95, 136];
|
|
return `rgba(${c[0]},${c[1]},${c[2]},${alpha})`;
|
|
}
|
|
|
|
function clusterFill(cluster, alpha = 1) {
|
|
const c = cluster.color || [82, 231, 255];
|
|
return `rgba(${c[0]},${c[1]},${c[2]},${alpha})`;
|
|
}
|
|
|
|
function insideBrain(x, y, z) {
|
|
const fissure = Math.abs(x) < 0.045 && y > -0.58 && y < 0.42;
|
|
if (fissure) return false;
|
|
const taperY = y + Math.abs(z) * 0.10 - Math.max(0, Math.abs(x) - 0.58) * 0.18;
|
|
const lx = (x + 0.35) / 0.58;
|
|
const rx = (x - 0.35) / 0.58;
|
|
const ny = taperY / 0.76;
|
|
const nz = z / 0.58;
|
|
const left = lx * lx + ny * ny + nz * nz <= 1;
|
|
const right = rx * rx + ny * ny + nz * nz <= 1;
|
|
const stemCut = y < -0.76 || y > 0.82;
|
|
return !stemCut && (left || right);
|
|
}
|
|
|
|
function clampBrain(point, sideHint) {
|
|
const out = {x: point.x, y: point.y, z: point.z};
|
|
const centerX = sideHint === 'left' ? -0.36 : sideHint === 'right' ? 0.36 : (out.x < 0 ? -0.36 : 0.36);
|
|
for (let i = 0; i < 18 && !insideBrain(out.x, out.y, out.z); i++) {
|
|
out.x = centerX + (out.x - centerX) * 0.88;
|
|
out.y *= 0.93;
|
|
out.z *= 0.93;
|
|
}
|
|
if (sideHint === 'left' && out.x > -0.06) out.x = -0.06 - Math.abs(out.x) * 0.1;
|
|
if (sideHint === 'right' && out.x < 0.06) out.x = 0.06 + Math.abs(out.x) * 0.1;
|
|
out.x = Math.max(-0.95, Math.min(0.95, out.x));
|
|
out.y = Math.max(-0.9, Math.min(0.9, out.y));
|
|
out.z = Math.max(-0.72, Math.min(0.72, out.z));
|
|
return out;
|
|
}
|
|
|
|
function honeycombPointCount(spacing, stopAt = Infinity, collect = false) {
|
|
const points = collect ? [] : null;
|
|
let count = 0;
|
|
const yStep = spacing * Math.sqrt(3) / 2;
|
|
const zStep = spacing * Math.sqrt(2 / 3);
|
|
const kMin = Math.floor(-0.72 / zStep) - 1;
|
|
const kMax = Math.ceil(0.72 / zStep) + 1;
|
|
const rMin = Math.floor(-0.9 / yStep) - 1;
|
|
const rMax = Math.ceil(0.9 / yStep) + 1;
|
|
for (let k = kMin; k <= kMax; k++) {
|
|
const layer = Math.abs(k) % 2;
|
|
const z = k * zStep;
|
|
const layerX = layer * spacing * 0.5;
|
|
const layerY = layer * yStep / 3;
|
|
for (let r = rMin; r <= rMax; r++) {
|
|
const y = r * yStep + layerY;
|
|
const rowX = (Math.abs(r) % 2) * spacing * 0.5;
|
|
const qMin = Math.floor(-1.02 / spacing) - 1;
|
|
const qMax = Math.ceil(1.02 / spacing) + 1;
|
|
for (let q = qMin; q <= qMax; q++) {
|
|
const x = q * spacing + rowX + layerX;
|
|
if (!insideBrain(x, y, z)) continue;
|
|
count++;
|
|
if (collect) points.push({x, y, z});
|
|
if (count >= stopAt) return collect ? points : count;
|
|
}
|
|
}
|
|
}
|
|
return collect ? points : count;
|
|
}
|
|
|
|
function buildHoneycombLayout() {
|
|
const noteKinds = new Set(['knowledge', 'ai-think', 'external']);
|
|
const notes = state.nodes.filter(node => noteKinds.has(node.kind));
|
|
state.honeycombNodes = notes;
|
|
if (!notes.length) {
|
|
state.honeycombSpacing = 0;
|
|
return;
|
|
}
|
|
let low = 0.008;
|
|
let high = 0.32;
|
|
while (honeycombPointCount(low, notes.length) < notes.length && low > 0.0025) low *= 0.75;
|
|
for (let i = 0; i < 12; i++) {
|
|
const mid = (low + high) / 2;
|
|
const count = honeycombPointCount(mid, notes.length);
|
|
if (count >= notes.length) low = mid; else high = mid;
|
|
}
|
|
const spacing = Math.max(0.0025, low * 0.985);
|
|
let points = honeycombPointCount(spacing, Infinity, true);
|
|
if (points.length < notes.length) points = honeycombPointCount(Math.max(0.0025, spacing * 0.96), Infinity, true);
|
|
points.sort((a, b) => hashString(`${a.x.toFixed(5)}:${a.y.toFixed(5)}:${a.z.toFixed(5)}`) - hashString(`${b.x.toFixed(5)}:${b.y.toFixed(5)}:${b.z.toFixed(5)}`));
|
|
notes.sort((a, b) => hashString(a.id) - hashString(b.id));
|
|
const step = points.length / notes.length;
|
|
for (let i = 0; i < notes.length; i++) {
|
|
const point = points[Math.min(points.length - 1, Math.floor(i * step))];
|
|
notes[i].honeyX = point.x;
|
|
notes[i].honeyY = point.y;
|
|
notes[i].honeyZ = point.z;
|
|
}
|
|
state.honeycombSpacing = spacing;
|
|
}
|
|
|
|
function updateViewButtons() {
|
|
const neural = $('viewNeural');
|
|
const honey = $('viewHoneycomb');
|
|
if (neural) neural.classList.toggle('active', state.viewMode === 'neural');
|
|
if (honey) honey.classList.toggle('active', state.viewMode === 'honeycomb');
|
|
document.body.classList.toggle('honeycomb-view', state.viewMode === 'honeycomb');
|
|
const edgeButton = $('toggleEdges');
|
|
const cortexButton = $('toggleCortex');
|
|
const lodButton = $('toggleLOD');
|
|
for (const button of [edgeButton, cortexButton, lodButton]) {
|
|
if (button) button.disabled = state.viewMode === 'honeycomb';
|
|
}
|
|
}
|
|
|
|
function applyViewMode(mode, persist = true) {
|
|
mode = mode === 'honeycomb' ? 'honeycomb' : 'neural';
|
|
state.viewMode = mode;
|
|
state.runtimeSettings.view_mode = mode;
|
|
state.hover = null;
|
|
state.selected = null;
|
|
state.particles.length = 0;
|
|
state.edgeRenderMap.clear();
|
|
for (const node of state.nodes) {
|
|
node.transitionFrom = null;
|
|
node.transitionStart = 0;
|
|
}
|
|
if (mode === 'honeycomb') {
|
|
state.renderNodes = state.honeycombNodes;
|
|
state.renderEdges = [];
|
|
state.renderIdleEdges = [];
|
|
state.renderNodeById = new Map(state.honeycombNodes.map(node => [node.id, node]));
|
|
state.renderEdgeById = new Map();
|
|
state.visibleForNode = new Map(state.honeycombNodes.map(node => [node.id, node.id]));
|
|
state.renderStats = {nodes: state.honeycombNodes.length, edges: 0, hiddenNodes: Math.max(0, state.nodes.length - state.honeycombNodes.length), hiddenEdges: state.edges.length};
|
|
const renderCount = $('renderCount');
|
|
if (renderCount) renderCount.textContent = state.honeycombNodes.length.toLocaleString('de-DE');
|
|
} else {
|
|
state.lodDirty = true;
|
|
rebuildRenderGraph(performance.now(), true);
|
|
}
|
|
updateViewButtons();
|
|
if (persist) persistRuntimeSettings().catch(() => {});
|
|
}
|
|
|
|
function buildLayout(previousNodes = new Map(), previousClusters = new Map()) {
|
|
const degree = new Map(state.nodes.map(n => [n.id, (state.adjacency.get(n.id) || []).length]));
|
|
const labels = new Map();
|
|
const locked = new Set();
|
|
for (const node of state.nodes) {
|
|
const explicit = explicitClusterKey(node);
|
|
if (explicit) {
|
|
labels.set(node.id, explicit);
|
|
locked.add(node.id);
|
|
}
|
|
}
|
|
for (let round = 0; round < 4; round++) {
|
|
const pending = [];
|
|
for (const node of state.nodes) {
|
|
if (locked.has(node.id)) continue;
|
|
const votes = new Map();
|
|
for (const edge of state.adjacency.get(node.id) || []) {
|
|
const otherID = edge.source === node.id ? edge.target : edge.source;
|
|
const label = labels.get(otherID);
|
|
if (!label) continue;
|
|
const trust = edge.origin === 'ai-inference' ? 0.72 : edge.type === 'categorized_as' ? 1.35 : 1;
|
|
const score = Math.max(0.05, edge.weight || 1) * trust;
|
|
votes.set(label, (votes.get(label) || 0) + score);
|
|
}
|
|
let best = '', bestScore = 0;
|
|
for (const [label, score] of votes) {
|
|
if (score > bestScore) { best = label; bestScore = score; }
|
|
}
|
|
if (best) pending.push([node.id, best]);
|
|
}
|
|
for (const [id, label] of pending) labels.set(id, label);
|
|
if (!pending.length) break;
|
|
}
|
|
|
|
const clusters = new Map();
|
|
for (const n of state.nodes) {
|
|
const key = labels.get(n.id) || categoryKey(n);
|
|
n.clusterKey = key;
|
|
let cluster = clusters.get(key);
|
|
if (!cluster) {
|
|
const previous = previousClusters.get(key);
|
|
cluster = {key, label: key, nodes: [], size: 0, mass: 0, color: clusterColorFor(key), x: previous?.x || 0, y: previous?.y || 0, z: previous?.z || 0, side: previous?.side || 'left', radius: 0.12, links: new Map(), hasPrevious: Boolean(previous)};
|
|
clusters.set(key, cluster);
|
|
}
|
|
cluster.nodes.push(n);
|
|
cluster.size++;
|
|
cluster.mass += 1 + Math.min(10, Math.sqrt(degree.get(n.id) || 0));
|
|
}
|
|
|
|
for (const e of state.edges) {
|
|
const a = state.nodeById.get(e.source);
|
|
const b = state.nodeById.get(e.target);
|
|
if (!a || !b || a.clusterKey === b.clusterKey) continue;
|
|
const c1 = clusters.get(a.clusterKey);
|
|
const c2 = clusters.get(b.clusterKey);
|
|
c1.links.set(c2.key, (c1.links.get(c2.key) || 0) + (e.weight || 1));
|
|
c2.links.set(c1.key, (c2.links.get(c1.key) || 0) + (e.weight || 1));
|
|
}
|
|
|
|
const clusterList = Array.from(clusters.values()).sort((a, b) => b.mass - a.mass || a.key.localeCompare(b.key));
|
|
clusterList.forEach((cluster, index) => {
|
|
cluster.color = CORTEX_PALETTE[index % CORTEX_PALETTE.length];
|
|
cluster.importance = index < 12 ? 1 : Math.max(0.25, 1 - index / Math.max(1, clusterList.length));
|
|
cluster.screen = null;
|
|
});
|
|
const left = [], right = [];
|
|
let leftMass = 0, rightMass = 0;
|
|
for (const cluster of clusterList) {
|
|
let chooseLeft;
|
|
if (cluster.hasPrevious) {
|
|
chooseLeft = cluster.side === 'left';
|
|
} else {
|
|
const preferLeft = (hashString(cluster.key) % 2) === 0;
|
|
chooseLeft = Math.abs(leftMass - rightMass) > cluster.mass * 0.35 ? leftMass <= rightMass : preferLeft;
|
|
cluster.side = chooseLeft ? 'left' : 'right';
|
|
}
|
|
if (chooseLeft) { left.push(cluster); leftMass += cluster.mass; }
|
|
else { right.push(cluster); rightMass += cluster.mass; }
|
|
cluster.radius = Math.max(0.08, Math.min(0.24, 0.08 + Math.sqrt(cluster.size) / 75));
|
|
}
|
|
|
|
seedHemis(left, -1);
|
|
seedHemis(right, 1);
|
|
relaxClusters(clusterList);
|
|
placeNodes(clusterList, degree, previousNodes);
|
|
state.clusters = clusterList;
|
|
state.clusterByKey = new Map(clusterList.map(cluster => [cluster.key, cluster]));
|
|
}
|
|
|
|
function seedHemis(list, sign) {
|
|
const total = Math.max(1, list.length);
|
|
for (let i = 0; i < list.length; i++) {
|
|
const cluster = list[i];
|
|
if (cluster.hasPrevious) continue;
|
|
const t = (i + 0.6) / total;
|
|
const ring = Math.sqrt(t);
|
|
const angle = i * GOLDEN;
|
|
const x = sign * (0.18 + 0.26 * (0.25 + ring * 0.75));
|
|
const y = Math.cos(angle) * 0.56 * ring;
|
|
const z = Math.sin(angle) * 0.46 * ring;
|
|
Object.assign(cluster, clampBrain({x, y, z}, sign < 0 ? 'left' : 'right'));
|
|
}
|
|
}
|
|
|
|
function relaxClusters(clusterList) {
|
|
for (let iter = 0; iter < 70; iter++) {
|
|
const force = clusterList.map(() => ({x: 0, y: 0, z: 0}));
|
|
for (let i = 0; i < clusterList.length; i++) {
|
|
const a = clusterList[i];
|
|
for (let j = i + 1; j < clusterList.length; j++) {
|
|
const b = clusterList[j];
|
|
let dx = b.x - a.x, dy = b.y - a.y, dz = b.z - a.z;
|
|
const dist = Math.max(0.001, Math.hypot(dx, dy, dz));
|
|
const ux = dx / dist, uy = dy / dist, uz = dz / dist;
|
|
const minDist = a.radius + b.radius + 0.06;
|
|
const repulsion = 0.0016 * Math.sqrt(a.mass * b.mass) / (dist * dist);
|
|
force[i].x -= ux * repulsion; force[i].y -= uy * repulsion; force[i].z -= uz * repulsion;
|
|
force[j].x += ux * repulsion; force[j].y += uy * repulsion; force[j].z += uz * repulsion;
|
|
if (dist < minDist) {
|
|
const push = (minDist - dist) * 0.022;
|
|
force[i].x -= ux * push; force[i].y -= uy * push; force[i].z -= uz * push;
|
|
force[j].x += ux * push; force[j].y += uy * push; force[j].z += uz * push;
|
|
}
|
|
const linkWeight = (a.links.get(b.key) || 0);
|
|
if (linkWeight > 0) {
|
|
const target = a.side === b.side ? 0.24 + Math.max(a.radius, b.radius) * 0.35 : 0.38 + Math.max(a.radius, b.radius) * 0.25;
|
|
const spring = (dist - target) * 0.0022 * Math.log1p(linkWeight);
|
|
force[i].x += ux * spring; force[i].y += uy * spring; force[i].z += uz * spring;
|
|
force[j].x -= ux * spring; force[j].y -= uy * spring; force[j].z -= uz * spring;
|
|
}
|
|
}
|
|
}
|
|
for (let i = 0; i < clusterList.length; i++) {
|
|
const cluster = clusterList[i];
|
|
const fx = force[i];
|
|
const centerX = cluster.side === 'left' ? -0.34 : 0.34;
|
|
fx.x += (centerX - cluster.x) * 0.012;
|
|
fx.y += (-0.02 - cluster.y) * 0.01;
|
|
fx.z += (0 - cluster.z) * 0.008;
|
|
const stability = cluster.hasPrevious ? 0.18 : 1;
|
|
cluster.x += Math.max(-0.03, Math.min(0.03, fx.x)) * stability;
|
|
cluster.y += Math.max(-0.03, Math.min(0.03, fx.y)) * stability;
|
|
cluster.z += Math.max(-0.03, Math.min(0.03, fx.z)) * stability;
|
|
Object.assign(cluster, clampBrain(cluster, cluster.side));
|
|
}
|
|
}
|
|
}
|
|
|
|
function placeNodes(clusterList, degree, previousNodes = new Map()) {
|
|
for (const cluster of clusterList) {
|
|
cluster.nodes.sort((a, b) => (degree.get(b.id) || 0) - (degree.get(a.id) || 0) || a.id.localeCompare(b.id));
|
|
const total = Math.max(1, cluster.nodes.length);
|
|
for (let i = 0; i < cluster.nodes.length; i++) {
|
|
const node = cluster.nodes[i];
|
|
node.clusterColor = cluster.color;
|
|
node.cluster = cluster;
|
|
const rank = i / total;
|
|
const spread = Math.pow(rank, 0.58);
|
|
const angleA = i * GOLDEN + pseudo(node.id, 1) * Math.PI * 2;
|
|
const angleB = Math.acos(1 - 2 * pseudo(node.id, 2));
|
|
const shell = cluster.radius * (0.18 + 0.92 * spread);
|
|
const density = 0.75 + pseudo(node.id, 3) * 0.5;
|
|
let ox = Math.cos(angleA) * Math.sin(angleB) * shell * density;
|
|
let oy = Math.sin(angleA) * Math.sin(angleB) * shell * density * 0.95;
|
|
let oz = Math.cos(angleB) * shell * (0.66 + pseudo(node.id, 4) * 0.24);
|
|
ox += (cluster.side === 'left' ? -1 : 1) * (0.015 + (1 - spread) * 0.018);
|
|
const pos = clampBrain({x: cluster.x + ox, y: cluster.y + oy, z: cluster.z + oz}, cluster.side);
|
|
const previous = previousNodes.get(node.id);
|
|
const preserve = previous?.clusterKey === cluster.key ? 0.90 : 0;
|
|
node.x = previous ? previous.x * preserve + pos.x * (1 - preserve) : pos.x;
|
|
node.y = previous ? previous.y * preserve + pos.y * (1 - preserve) : pos.y;
|
|
node.z = previous ? previous.z * preserve + pos.z * (1 - preserve) : pos.z;
|
|
}
|
|
}
|
|
}
|
|
|
|
function splitSpatial(items, maxItems) {
|
|
if (items.length <= maxItems) return [items];
|
|
const ranges = ['x', 'y', 'z'].map(axis => {
|
|
let min = Infinity, max = -Infinity;
|
|
for (const item of items) {
|
|
min = Math.min(min, item[axis]);
|
|
max = Math.max(max, item[axis]);
|
|
}
|
|
return {axis, range: max - min};
|
|
}).sort((a, b) => b.range - a.range);
|
|
const axis = ranges[0].axis;
|
|
const sorted = [...items].sort((a, b) => a[axis] - b[axis] || String(a.id).localeCompare(String(b.id)));
|
|
const parts = [];
|
|
for (let i = 0; i < sorted.length; i += maxItems) parts.push(sorted.slice(i, i + maxItems));
|
|
return parts;
|
|
}
|
|
|
|
function spatialBuckets(items, cellSize, maxItems) {
|
|
const buckets = new Map();
|
|
for (const item of items) {
|
|
const key = `${Math.floor(item.x / cellSize)}:${Math.floor(item.y / cellSize)}:${Math.floor(item.z / cellSize)}`;
|
|
if (!buckets.has(key)) buckets.set(key, []);
|
|
buckets.get(key).push(item);
|
|
}
|
|
const result = [];
|
|
const entries = [...buckets.entries()].sort((a, b) => a[0].localeCompare(b[0]));
|
|
for (const [, bucket] of entries) result.push(...splitSpatial(bucket, maxItems));
|
|
return result;
|
|
}
|
|
|
|
function makeLODGroup(level, cluster, members, children, ordinal) {
|
|
let sumX = 0, sumY = 0, sumZ = 0, mass = 0;
|
|
for (const member of members) {
|
|
const weight = 1 + Math.min(8, Math.sqrt((state.adjacency.get(member.id) || []).length));
|
|
sumX += member.x * weight;
|
|
sumY += member.y * weight;
|
|
sumZ += member.z * weight;
|
|
mass += weight;
|
|
}
|
|
const signature = `${cluster.key}|${level}|${members[0]?.id || ordinal}|${members.length}|${ordinal}`;
|
|
const id = `lod:${level}:${hashString(signature).toString(36)}`;
|
|
const statuses = new Set(members.map(member => member.status).filter(Boolean));
|
|
return {
|
|
id, kind: 'supernode', renderKind: 'supernode', lodLevel: level, clusterKey: cluster.key, cluster,
|
|
label: cluster.label, summary: `${members.length.toLocaleString('de-DE')} verdichtete Wissenselemente`,
|
|
status: statuses.size === 1 ? [...statuses][0] : 'aggregate', origin: 'lod', categories: [cluster.label],
|
|
x: sumX / Math.max(1, mass), y: sumY / Math.max(1, mass), z: sumZ / Math.max(1, mass),
|
|
weight: Math.max(1, Math.log2(members.length + 1)), clusterColor: cluster.color,
|
|
members, memberIDs: members.map(member => member.id), memberCount: members.length, children: children || [],
|
|
internalEdgeCount: 0, externalEdgeCount: 0, screen: null, transitionFrom: null, transitionStart: 0
|
|
};
|
|
}
|
|
|
|
function buildLODHierarchy() {
|
|
state.lodLeaves = [];
|
|
state.lodCoarse = [];
|
|
state.lodGroupById = new Map();
|
|
state.lodLeafByNode = new Map();
|
|
state.lodCoarseByNode = new Map();
|
|
for (const cluster of state.clusters) {
|
|
const localParts = spatialBuckets(cluster.nodes, LOD_CONFIG.localDistance, LOD_CONFIG.localMaxMembers);
|
|
const leaves = localParts.map((members, index) => makeLODGroup(1, cluster, members, [], index));
|
|
for (const leaf of leaves) {
|
|
state.lodLeaves.push(leaf);
|
|
state.lodGroupById.set(leaf.id, leaf);
|
|
for (const id of leaf.memberIDs) state.lodLeafByNode.set(id, leaf);
|
|
}
|
|
const coarseParts = spatialBuckets(leaves, LOD_CONFIG.coarseDistance, LOD_CONFIG.coarseMaxChildren);
|
|
const coarseGroups = coarseParts.map((children, index) => {
|
|
const members = children.flatMap(child => child.members);
|
|
const group = makeLODGroup(2, cluster, members, children, index);
|
|
for (const child of children) child.parentID = group.id;
|
|
return group;
|
|
});
|
|
cluster.lodLeaves = leaves;
|
|
cluster.lodCoarse = coarseGroups;
|
|
for (const coarse of coarseGroups) {
|
|
state.lodCoarse.push(coarse);
|
|
state.lodGroupById.set(coarse.id, coarse);
|
|
for (const id of coarse.memberIDs) state.lodCoarseByNode.set(id, coarse);
|
|
}
|
|
}
|
|
state.lodDirty = true;
|
|
}
|
|
|
|
function lodGroupOpen(group, now) {
|
|
return (state.lodOpenUntil.get(group.id) || 0) > now;
|
|
}
|
|
|
|
function nodeHot(id, now) {
|
|
return (state.lodHotUntil.get(id) || 0) > now || (state.active.get(id) || 0) > 0.04 || state.focusNodeID === id || state.selected?.id === id;
|
|
}
|
|
|
|
function groupHasHotNode(group, now) {
|
|
if (lodGroupOpen(group, now)) return true;
|
|
for (const id of group.memberIDs) if (nodeHot(id, now)) return true;
|
|
return false;
|
|
}
|
|
|
|
function revealLODNodes(ids, duration = LOD_CONFIG.revealNodeMS) {
|
|
const now = performance.now();
|
|
for (const id of ids || []) {
|
|
if (!state.nodeById.has(id)) continue;
|
|
state.lodHotUntil.set(id, Math.max(state.lodHotUntil.get(id) || 0, now + duration));
|
|
const leaf = state.lodLeafByNode.get(id);
|
|
const coarse = state.lodCoarseByNode.get(id);
|
|
if (leaf) state.lodOpenUntil.set(leaf.id, Math.max(state.lodOpenUntil.get(leaf.id) || 0, now + duration));
|
|
if (coarse) state.lodOpenUntil.set(coarse.id, Math.max(state.lodOpenUntil.get(coarse.id) || 0, now + Math.max(duration, LOD_CONFIG.revealParentMS)));
|
|
}
|
|
state.lodDirty = true;
|
|
}
|
|
|
|
function openLODGroup(group) {
|
|
const now = performance.now();
|
|
const duration = group.lodLevel === 2 ? LOD_CONFIG.revealParentMS : LOD_CONFIG.revealNodeMS;
|
|
state.lodOpenUntil.set(group.id, now + duration);
|
|
if (group.lodLevel === 1) {
|
|
const parent = state.lodGroupById.get(group.parentID);
|
|
if (parent) state.lodOpenUntil.set(parent.id, now + LOD_CONFIG.revealParentMS);
|
|
}
|
|
state.lodDirty = true;
|
|
rebuildRenderGraph(now, true);
|
|
}
|
|
|
|
function updateLODZoomBand() {
|
|
const before = state.lodZoomBand;
|
|
if (state.lodZoomBand === 2 && state.zoom > 1.12) state.lodZoomBand = 1;
|
|
else if (state.lodZoomBand === 1 && state.zoom < 0.96) state.lodZoomBand = 2;
|
|
else if (state.lodZoomBand === 1 && state.zoom > 1.72) state.lodZoomBand = 0;
|
|
else if (state.lodZoomBand === 0 && state.zoom < 1.48) state.lodZoomBand = 1;
|
|
if (before !== state.lodZoomBand) state.lodDirty = true;
|
|
}
|
|
|
|
function addVisibleEntity(entity, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now) {
|
|
entity.renderKind = entity.kind === 'supernode' ? 'supernode' : 'node';
|
|
entity.memberCount = entity.kind === 'supernode' ? entity.memberCount : 1;
|
|
entity.internalEdgeCount = 0;
|
|
entity.externalEdgeCount = 0;
|
|
const sampleID = entity.kind === 'supernode' ? entity.memberIDs[0] : entity.id;
|
|
const oldVisibleID = oldVisibleForNode.get(sampleID);
|
|
const oldEntity = oldVisibleID ? oldRenderNodeById.get(oldVisibleID) : null;
|
|
if (!oldRenderNodeById.has(entity.id) && oldEntity) {
|
|
entity.transitionFrom = {x: oldEntity.x, y: oldEntity.y, z: oldEntity.z};
|
|
entity.transitionStart = now;
|
|
}
|
|
renderNodes.push(entity);
|
|
renderNodeById.set(entity.id, entity);
|
|
if (entity.kind === 'supernode') {
|
|
for (const id of entity.memberIDs) visibleForNode.set(id, entity.id);
|
|
} else {
|
|
visibleForNode.set(entity.id, entity.id);
|
|
}
|
|
}
|
|
|
|
function rebuildRenderGraph(now = performance.now(), force = false) {
|
|
if (!force && (!state.lodDirty || now - state.lodLastBuild < LOD_CONFIG.rebuildThrottleMS)) return;
|
|
const oldRenderNodeById = state.renderNodeById;
|
|
const oldVisibleForNode = state.visibleForNode;
|
|
const renderNodes = [];
|
|
const renderNodeById = new Map();
|
|
const visibleForNode = new Map();
|
|
|
|
if (!state.lodEnabled) {
|
|
for (const node of state.nodes) addVisibleEntity(node, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now);
|
|
} else {
|
|
for (const coarse of state.lodCoarse) {
|
|
const focused = coarse.clusterKey === state.focusClusterKey;
|
|
const coarseOpen = state.lodZoomBand <= 1 || focused || groupHasHotNode(coarse, now);
|
|
if (!coarseOpen && coarse.memberCount > 1) {
|
|
addVisibleEntity(coarse, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now);
|
|
continue;
|
|
}
|
|
for (const leaf of coarse.children) {
|
|
const leafOpen = state.lodZoomBand === 0 || groupHasHotNode(leaf, now);
|
|
if (!leafOpen && leaf.memberCount > 1) {
|
|
addVisibleEntity(leaf, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now);
|
|
} else {
|
|
for (const node of leaf.members) addVisibleEntity(node, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
const renderEdgesByKey = new Map();
|
|
const edgeRenderMap = new Map();
|
|
for (const edge of state.edges) {
|
|
const source = visibleForNode.get(edge.source);
|
|
const target = visibleForNode.get(edge.target);
|
|
if (!source || !target) continue;
|
|
if (source === target) {
|
|
const entity = renderNodeById.get(source);
|
|
if (entity) entity.internalEdgeCount++;
|
|
edgeRenderMap.set(edge.id, '');
|
|
continue;
|
|
}
|
|
const key = `${source}\u0000${target}\u0000${edge.type || ''}\u0000${edge.origin || ''}\u0000${edge.status || ''}`;
|
|
let aggregate = renderEdgesByKey.get(key);
|
|
if (!aggregate) {
|
|
aggregate = {
|
|
id: `lod-edge:${hashString(key).toString(36)}`, source, target, type: edge.type, origin: edge.origin, status: edge.status,
|
|
confidence: edge.confidence || 0, weight: 0, edgeCount: 0, weightSum: 0, maxConfidence: edge.confidence || 0,
|
|
memberEdgeIDs: [], explanation: edge.explanation || ''
|
|
};
|
|
renderEdgesByKey.set(key, aggregate);
|
|
}
|
|
aggregate.edgeCount++;
|
|
aggregate.weightSum += edge.weight || 1;
|
|
aggregate.maxConfidence = Math.max(aggregate.maxConfidence, edge.confidence || 0);
|
|
aggregate.confidence = aggregate.maxConfidence;
|
|
aggregate.weight = Math.log1p(aggregate.weightSum);
|
|
if (aggregate.memberEdgeIDs.length < 32) aggregate.memberEdgeIDs.push(edge.id);
|
|
edgeRenderMap.set(edge.id, aggregate.id);
|
|
}
|
|
const renderEdges = [...renderEdgesByKey.values()];
|
|
for (const edge of renderEdges) {
|
|
const source = renderNodeById.get(edge.source);
|
|
const target = renderNodeById.get(edge.target);
|
|
if (source) source.externalEdgeCount += edge.edgeCount;
|
|
if (target) target.externalEdgeCount += edge.edgeCount;
|
|
}
|
|
|
|
state.renderNodes = renderNodes;
|
|
state.renderEdges = renderEdges;
|
|
state.renderIdleEdges = renderEdges.filter(edge => edge.edgeCount > 1 || edge.origin === 'ai-inference' || edge.type === 'contradicts' || edge.type === 'supports');
|
|
state.renderNodeById = renderNodeById;
|
|
state.renderEdgeById = new Map(renderEdges.map(edge => [edge.id, edge]));
|
|
state.visibleForNode = visibleForNode;
|
|
state.edgeRenderMap = edgeRenderMap;
|
|
state.renderActive = new Map();
|
|
for (const [id, strength] of state.active) {
|
|
const visibleID = visibleForNode.get(id);
|
|
if (visibleID) state.renderActive.set(visibleID, Math.max(state.renderActive.get(visibleID) || 0, strength));
|
|
}
|
|
state.renderEdgeActive = new Map();
|
|
for (const [id, strength] of state.edgeActive) {
|
|
const visibleID = edgeRenderMap.get(id);
|
|
if (visibleID) state.renderEdgeActive.set(visibleID, Math.max(state.renderEdgeActive.get(visibleID) || 0, strength));
|
|
}
|
|
state.renderStats = {
|
|
nodes: renderNodes.length,
|
|
edges: renderEdges.length,
|
|
hiddenNodes: Math.max(0, state.nodes.length - renderNodes.length),
|
|
hiddenEdges: Math.max(0, state.edges.length - renderEdges.length)
|
|
};
|
|
const renderCount = $('renderCount');
|
|
if (renderCount) {
|
|
renderCount.textContent = renderNodes.length.toLocaleString('de-DE');
|
|
renderCount.parentElement.title = `${renderNodes.length.toLocaleString('de-DE')} von ${state.nodes.length.toLocaleString('de-DE')} Nodes · ${renderEdges.length.toLocaleString('de-DE')} aggregierte Edges`;
|
|
}
|
|
const lodButton = $('toggleLOD');
|
|
if (lodButton) lodButton.title = `Hierarchisches LOD: ${renderNodes.length.toLocaleString('de-DE')} Render-Nodes / ${renderEdges.length.toLocaleString('de-DE')} Render-Edges`;
|
|
state.lodLastBuild = now;
|
|
state.lodDirty = false;
|
|
state.lodNextExpiry = Infinity;
|
|
for (const expires of state.lodOpenUntil.values()) if (expires > now) state.lodNextExpiry = Math.min(state.lodNextExpiry, expires);
|
|
for (const expires of state.lodHotUntil.values()) if (expires > now) state.lodNextExpiry = Math.min(state.lodNextExpiry, expires);
|
|
if (!Number.isFinite(state.lodNextExpiry)) state.lodNextExpiry = 0;
|
|
if (state.hover && !renderNodeById.has(state.hover.id)) state.hover = null;
|
|
}
|
|
|
|
function updateLOD(now) {
|
|
updateLODZoomBand();
|
|
if (state.lodNextExpiry && now >= state.lodNextExpiry) state.lodDirty = true;
|
|
if (state.lodDirty) rebuildRenderGraph(now);
|
|
}
|
|
|
|
function rotatePoint(n) {
|
|
const cy = Math.cos(state.yaw), sy = Math.sin(state.yaw);
|
|
const cp = Math.cos(state.pitch), sp = Math.sin(state.pitch);
|
|
const x1 = n.x * cy - n.z * sy;
|
|
const z1 = n.x * sy + n.z * cy;
|
|
const y1 = n.y * cp - z1 * sp;
|
|
const z2 = n.y * sp + z1 * cp;
|
|
return {x: x1, y: y1, z: z2};
|
|
}
|
|
|
|
function project(n) {
|
|
const r = rotatePoint(n);
|
|
const panelOffset = state.width > 1000 ? 110 : state.width > 780 ? 60 : 0;
|
|
const centerX = state.width / 2 + panelOffset;
|
|
const centerY = state.height / 2 - 4;
|
|
const usableW = Math.max(360, state.width - (state.width > 900 ? 470 : 40));
|
|
const scale = Math.min(usableW * 0.42, state.height * 0.45) * state.zoom;
|
|
const perspective = 2.9 / (3.3 - r.z * 0.42);
|
|
return {x: centerX + r.x * scale * perspective, y: centerY + r.y * scale * perspective, z: r.z, p: perspective};
|
|
}
|
|
|
|
|
|
function rgba(color, alpha) {
|
|
return `rgba(${color[0]},${color[1]},${color[2]},${alpha})`;
|
|
}
|
|
|
|
function nearestAngle(current, target) {
|
|
let delta = (target - current + Math.PI) % (Math.PI * 2) - Math.PI;
|
|
if (delta < -Math.PI) delta += Math.PI * 2;
|
|
return current + delta;
|
|
}
|
|
|
|
function setVisualMode(mode, evt = null, strength = 1) {
|
|
if (!state.runtimeSettings.learning_enabled && !state.runtimeSettings.thinking_enabled) mode = 'living';
|
|
if (mode === 'learning' && !state.runtimeSettings.learning_enabled) mode = 'living';
|
|
if ((mode === 'thinking' || mode === 'researching') && !state.runtimeSettings.thinking_enabled) mode = 'living';
|
|
const cfg = MODE_CONFIG[mode] || MODE_CONFIG.living;
|
|
const now = performance.now();
|
|
state.mode = mode;
|
|
state.modeUntil = cfg.duration ? Math.max(state.modeUntil, now + cfg.duration) : 0;
|
|
state.targetEnergy = mode === 'living' ? 0.08 : mode === 'learning' ? Math.min(0.72, 0.36 + strength * 0.22) : Math.min(1.35, 0.62 + strength * 0.58);
|
|
state.zoomTarget = mode === 'living' || mode === 'learning' ? 1.02 : mode === 'thinking' ? 1.13 : mode === 'researching' ? 1.10 : 1.08;
|
|
if (mode === 'learning') {
|
|
state.focusClusterKey = '';
|
|
state.focusNodeID = '';
|
|
state.cameraTargetYaw = null;
|
|
state.cameraTargetPitch = null;
|
|
}
|
|
const badge = $('visualMode');
|
|
if (badge) {
|
|
badge.className = `mode-status ${cfg.className}`;
|
|
const b = badge.querySelector('b');
|
|
const small = badge.querySelector('small');
|
|
if (b) b.textContent = cfg.label;
|
|
if (small) small.textContent = cfg.detail;
|
|
}
|
|
if (mode !== 'learning' && evt?.node_ids?.length) {
|
|
const focus = state.nodeById.get(evt.node_ids[0]);
|
|
if (focus) focusCamera(focus);
|
|
}
|
|
}
|
|
|
|
function focusCamera(node) {
|
|
state.focusNodeID = node.id;
|
|
state.focusClusterKey = node.clusterKey || '';
|
|
const x = state.viewMode === 'honeycomb' && Number.isFinite(node.honeyX) ? node.honeyX : node.x;
|
|
const y = state.viewMode === 'honeycomb' && Number.isFinite(node.honeyY) ? node.honeyY : node.y;
|
|
const z = state.viewMode === 'honeycomb' && Number.isFinite(node.honeyZ) ? node.honeyZ : node.z;
|
|
const radial = Math.max(0.05, Math.hypot(x, z));
|
|
state.cameraTargetYaw = nearestAngle(state.yaw, Math.atan2(x, z));
|
|
state.cameraTargetPitch = Math.max(-0.62, Math.min(0.62, Math.atan2(y, radial)));
|
|
}
|
|
|
|
function updateVisualState(now, dt) {
|
|
if (state.mode !== 'living' && now > state.modeUntil) {
|
|
state.mode = 'living';
|
|
state.focusClusterKey = '';
|
|
state.focusNodeID = '';
|
|
state.cameraTargetYaw = null;
|
|
state.cameraTargetPitch = null;
|
|
setVisualMode('living');
|
|
}
|
|
state.activityEnergy += (state.targetEnergy - state.activityEnergy) * Math.min(1, dt * 3.1);
|
|
if (state.mode === 'living') state.targetEnergy = 0.06 + Math.sin(now * 0.00043) * 0.025;
|
|
state.zoom += (state.zoomTarget - state.zoom) * Math.min(1, dt * 2.4);
|
|
if (!state.dragging && state.cameraTargetYaw !== null && state.mode !== 'living') {
|
|
state.yaw += (state.cameraTargetYaw - state.yaw) * Math.min(1, dt * 0.68);
|
|
state.pitch += (state.cameraTargetPitch - state.pitch) * Math.min(1, dt * 0.68);
|
|
} else if (state.autoRotate && !state.dragging) {
|
|
const speed = state.mode === 'living' ? 0.026 : state.mode === 'learning' ? 0 : 0.009;
|
|
state.yaw += dt * speed;
|
|
}
|
|
for (const [key, value] of state.clusterActive) {
|
|
const next = value - dt * (state.mode === 'living' ? 0.16 : 0.23);
|
|
if (next <= 0) state.clusterActive.delete(key); else state.clusterActive.set(key, next);
|
|
}
|
|
autonomousLivingPulse(now);
|
|
}
|
|
|
|
function autonomousLivingPulse(now) {
|
|
if (state.viewMode === 'honeycomb') return;
|
|
if (state.mode !== 'living' || now < state.nextAmbientAt || !state.clusters.length) return;
|
|
const candidates = state.clusters.slice(0, Math.min(18, state.clusters.length));
|
|
const cluster = candidates[state.ambientCursor % candidates.length];
|
|
state.ambientCursor++;
|
|
state.nextAmbientAt = now + 2400 + pseudo(cluster.key, state.ambientCursor) * 3600;
|
|
const count = Math.min(cluster.nodes.length, 3 + Math.floor(pseudo(cluster.key, state.ambientCursor + 1) * 4));
|
|
state.clusterActive.set(cluster.key, Math.max(state.clusterActive.get(cluster.key) || 0, 0.34));
|
|
for (let i = 0; i < count; i++) {
|
|
const node = cluster.nodes[(state.ambientCursor * 7 + i * 13) % cluster.nodes.length];
|
|
state.active.set(node.id, Math.max(state.active.get(node.id) || 0, 0.2 + pseudo(node.id, i) * 0.15));
|
|
const edges = (state.adjacency.get(node.id) || []).filter(edge => {
|
|
const otherID = edge.source === node.id ? edge.target : edge.source;
|
|
return state.nodeById.get(otherID)?.clusterKey === cluster.key;
|
|
});
|
|
if (edges.length) {
|
|
const edge = edges[(state.ambientCursor + i) % edges.length];
|
|
state.edgeActive.set(edge.id, Math.max(state.edgeActive.get(edge.id) || 0, 0.18));
|
|
state.particles.push({edgeId: edge.id, t: -0.03 * i, speed: 0.18 + pseudo(edge.id, i) * 0.22, color: clusterFill(cluster, 0.65), size: 0.62});
|
|
}
|
|
}
|
|
}
|
|
|
|
function eventMode(evt) {
|
|
if (!state.runtimeSettings.learning_enabled && !state.runtimeSettings.thinking_enabled) return 'living';
|
|
if (!evt || evt.type === 'brain.idle') return 'living';
|
|
if (evt.type?.includes('research')) return state.runtimeSettings.thinking_enabled ? 'researching' : 'living';
|
|
if (evt.type?.includes('think') || evt.type?.startsWith('article.')) return state.runtimeSettings.thinking_enabled ? 'thinking' : 'living';
|
|
if (evt.source === 'agent' || evt.source === 'knowledgebase' || evt.type?.includes('query')) return 'processing';
|
|
if (evt.type === 'graph.updated' || evt.type === 'scan.started' || evt.type === 'embedding.batch' || evt.type?.startsWith('glpi.kb')) return state.runtimeSettings.learning_enabled ? 'learning' : 'living';
|
|
return 'processing';
|
|
}
|
|
|
|
function modeParticleColor(mode) {
|
|
return rgba((MODE_CONFIG[mode] || MODE_CONFIG.living).color, 0.92);
|
|
}
|
|
|
|
function projectAnimatedNode(node, now) {
|
|
const honeycomb = state.viewMode === 'honeycomb' && Number.isFinite(node.honeyX);
|
|
const cluster = honeycomb ? null : node.cluster;
|
|
let x = honeycomb ? node.honeyX : node.x;
|
|
let y = honeycomb ? node.honeyY : node.y;
|
|
let z = honeycomb ? node.honeyZ : node.z;
|
|
if (node.transitionFrom && node.transitionStart) {
|
|
const t = Math.max(0, Math.min(1, (now - node.transitionStart) / 520));
|
|
const eased = t * t * (3 - 2 * t);
|
|
x = node.transitionFrom.x + (x - node.transitionFrom.x) * eased;
|
|
y = node.transitionFrom.y + (y - node.transitionFrom.y) * eased;
|
|
z = node.transitionFrom.z + (z - node.transitionFrom.z) * eased;
|
|
if (t >= 1) {
|
|
node.transitionFrom = null;
|
|
node.transitionStart = 0;
|
|
}
|
|
}
|
|
if (cluster) {
|
|
const clusterEnergy = state.clusterActive.get(cluster.key) || 0;
|
|
const learning = state.mode === 'learning';
|
|
const ambient = 1 + Math.sin(now * 0.00072 + hashString(cluster.key) * 0.00001) * (learning ? 0.0025 : 0.012);
|
|
const expansion = ambient + clusterEnergy * (learning ? 0.006 : 0.055) + (cluster.key === state.focusClusterKey && !learning ? state.activityEnergy * 0.028 : 0);
|
|
x = cluster.x + (x - cluster.x) * expansion;
|
|
y = cluster.y + (y - cluster.y) * expansion;
|
|
z = cluster.z + (z - cluster.z) * expansion;
|
|
}
|
|
const cy = Math.cos(state.yaw), sy = Math.sin(state.yaw);
|
|
const cp = Math.cos(state.pitch), sp = Math.sin(state.pitch);
|
|
const x1 = x * cy - z * sy;
|
|
const z1 = x * sy + z * cy;
|
|
const y1 = y * cp - z1 * sp;
|
|
const z2 = y * sp + z1 * cp;
|
|
const panelOffset = state.width > 1000 ? 110 : state.width > 780 ? 60 : 0;
|
|
const centerX = state.width / 2 + panelOffset;
|
|
const centerY = state.height / 2 - 4;
|
|
const usableW = Math.max(360, state.width - (state.width > 900 ? 470 : 40));
|
|
const scale = Math.min(usableW * 0.42, state.height * 0.45) * state.zoom;
|
|
const perspective = 2.9 / (3.3 - z2 * 0.42);
|
|
return {x: centerX + x1 * scale * perspective, y: centerY + y1 * scale * perspective, z: z2, p: perspective};
|
|
}
|
|
|
|
function drawBackground(now) {
|
|
const g = ctx.createRadialGradient(state.width * 0.56, state.height * 0.48, 24, state.width * 0.56, state.height * 0.48, Math.max(state.width, state.height) * 0.8);
|
|
g.addColorStop(0, '#071827');
|
|
g.addColorStop(0.52, '#020711');
|
|
g.addColorStop(1, '#010207');
|
|
ctx.fillStyle = g;
|
|
ctx.fillRect(0, 0, state.width, state.height);
|
|
ctx.save();
|
|
ctx.globalAlpha = 0.16;
|
|
for (let i = 0; i < 90; i++) {
|
|
const x = (i * 193.7 + now * 0.002 * (i % 3 + 1)) % state.width;
|
|
const y = (i * 97.3) % state.height;
|
|
ctx.fillStyle = i % 9 === 0 ? '#52e7ff' : '#5d7890';
|
|
const size = i % 11 === 0 ? 1.5 : 0.8;
|
|
ctx.fillRect(x, y, size, size);
|
|
}
|
|
ctx.restore();
|
|
}
|
|
|
|
function renderActivityAura(now) {
|
|
const cfg = MODE_CONFIG[state.mode] || MODE_CONFIG.living;
|
|
const panelOffset = state.width > 1000 ? 110 : state.width > 780 ? 60 : 0;
|
|
const cx = state.width / 2 + panelOffset;
|
|
const cy = state.height / 2 - 4;
|
|
const radius = Math.min(state.height * 0.48, Math.max(280, state.width * 0.34));
|
|
const energy = Math.max(0.035, state.activityEnergy);
|
|
ctx.save();
|
|
ctx.globalCompositeOperation = 'screen';
|
|
const aura = ctx.createRadialGradient(cx, cy, radius * 0.08, cx, cy, radius * 1.18);
|
|
aura.addColorStop(0, rgba(cfg.color, 0.025 + energy * 0.038));
|
|
aura.addColorStop(0.52, rgba(cfg.color, 0.012 + energy * 0.025));
|
|
aura.addColorStop(1, rgba(cfg.color, 0));
|
|
ctx.fillStyle = aura;
|
|
ctx.fillRect(cx - radius * 1.25, cy - radius * 1.25, radius * 2.5, radius * 2.5);
|
|
if (state.mode !== 'living') {
|
|
const beat = 0.5 + 0.5 * Math.sin(now * 0.0075);
|
|
ctx.strokeStyle = rgba(cfg.color, 0.035 + energy * 0.07 * beat);
|
|
ctx.lineWidth = 1 + energy * 1.5;
|
|
ctx.beginPath();
|
|
ctx.arc(cx, cy, radius * (0.58 + beat * 0.025), 0, Math.PI * 2);
|
|
ctx.stroke();
|
|
}
|
|
ctx.restore();
|
|
}
|
|
|
|
function renderClusterClouds(now) {
|
|
if (state.viewMode === 'honeycomb') return;
|
|
ctx.save();
|
|
ctx.globalCompositeOperation = 'screen';
|
|
for (const cluster of state.clusters) {
|
|
const p = project(cluster);
|
|
cluster.screen = p;
|
|
const active = state.clusterActive.get(cluster.key) || 0;
|
|
const focus = cluster.key === state.focusClusterKey ? state.activityEnergy : 0;
|
|
const breathe = 1 + Math.sin(now * 0.00072 + hashString(cluster.key) * 0.00001) * 0.035;
|
|
const radius = Math.max(44, cluster.radius * 230 * p.p * breathe * (1 + active * 0.08 + focus * 0.1));
|
|
const alpha = 0.045 + cluster.importance * 0.026 + active * 0.08 + focus * 0.09;
|
|
const g = ctx.createRadialGradient(p.x, p.y, 0, p.x, p.y, radius);
|
|
g.addColorStop(0, clusterFill(cluster, Math.min(0.25, alpha * 1.8)));
|
|
g.addColorStop(0.32, clusterFill(cluster, Math.min(0.13, alpha)));
|
|
g.addColorStop(0.78, clusterFill(cluster, 0.012 + focus * 0.025));
|
|
g.addColorStop(1, clusterFill(cluster, 0));
|
|
ctx.fillStyle = g;
|
|
ctx.beginPath();
|
|
ctx.ellipse(p.x, p.y, radius, radius * (0.68 + Math.max(-0.12, Math.min(0.12, p.z * 0.16))), p.z * 0.18, 0, Math.PI * 2);
|
|
ctx.fill();
|
|
if (state.cortexVisible && (cluster.importance > 0.62 || active > 0.15 || focus > 0.1)) {
|
|
ctx.setLineDash([3, 7]);
|
|
ctx.strokeStyle = clusterFill(cluster, 0.055 + active * 0.13 + focus * 0.16);
|
|
ctx.lineWidth = 0.65 + focus * 1.1;
|
|
ctx.beginPath();
|
|
ctx.ellipse(p.x, p.y, radius * 0.86, radius * 0.58, p.z * 0.18, 0, Math.PI * 2);
|
|
ctx.stroke();
|
|
ctx.setLineDash([]);
|
|
}
|
|
}
|
|
ctx.restore();
|
|
}
|
|
|
|
function renderCortexLabels() {
|
|
if (state.viewMode === 'honeycomb') return;
|
|
if (!state.cortexVisible || state.width < 850) return;
|
|
const visible = state.clusters
|
|
.filter(cluster => cluster.screen && (cluster.importance > 0.52 || cluster.key === state.focusClusterKey))
|
|
.sort((a, b) => (b.key === state.focusClusterKey) - (a.key === state.focusClusterKey) || b.mass - a.mass)
|
|
.slice(0, state.width > 1450 ? 12 : 8);
|
|
const occupied = [];
|
|
ctx.save();
|
|
ctx.font = '600 10px Inter, system-ui';
|
|
ctx.textBaseline = 'middle';
|
|
for (const cluster of visible) {
|
|
const p = cluster.screen;
|
|
const label = cluster.label.length > 28 ? cluster.label.slice(0, 26) + '…' : cluster.label;
|
|
const count = cluster.size.toLocaleString('de-DE');
|
|
const text = `${label} · ${count}`;
|
|
const w = ctx.measureText(text).width + 16;
|
|
let x = p.x + (cluster.side === 'left' ? -w - 16 : 16);
|
|
let y = p.y - 8;
|
|
x = Math.max(372, Math.min(state.width - w - 24, x));
|
|
y = Math.max(100, Math.min(state.height - 78, y));
|
|
if (occupied.some(box => Math.abs(box.x - x) < (box.w + w) * 0.48 && Math.abs(box.y - y) < 22)) continue;
|
|
occupied.push({x, y, w});
|
|
const focus = cluster.key === state.focusClusterKey;
|
|
ctx.strokeStyle = clusterFill(cluster, focus ? 0.75 : 0.28);
|
|
ctx.lineWidth = focus ? 1.25 : 0.6;
|
|
ctx.beginPath();
|
|
ctx.moveTo(p.x, p.y);
|
|
ctx.lineTo(cluster.side === 'left' ? x + w : x, y + 8);
|
|
ctx.stroke();
|
|
ctx.fillStyle = focus ? 'rgba(3,10,18,.94)' : 'rgba(3,10,18,.78)';
|
|
ctx.fillRect(x, y, w, 17);
|
|
ctx.strokeStyle = clusterFill(cluster, focus ? 0.65 : 0.18);
|
|
ctx.strokeRect(x, y, w, 17);
|
|
ctx.fillStyle = clusterFill(cluster, focus ? 1 : 0.82);
|
|
ctx.fillText(text, x + 8, y + 8.5);
|
|
}
|
|
ctx.restore();
|
|
}
|
|
|
|
function renderEdges() {
|
|
if (state.viewMode === 'honeycomb') return;
|
|
if (!state.edgesVisible) return;
|
|
ctx.save();
|
|
ctx.globalCompositeOperation = 'screen';
|
|
const edges = [...state.renderIdleEdges];
|
|
const included = new Set(edges.map(edge => edge.id));
|
|
for (const id of state.renderEdgeActive.keys()) {
|
|
const edge = state.renderEdgeById.get(id);
|
|
if (edge && !included.has(id)) { edges.push(edge); included.add(id); }
|
|
}
|
|
for (const edge of edges) {
|
|
const a = state.renderNodeById.get(edge.source), b = state.renderNodeById.get(edge.target);
|
|
if (!a?.screen || !b?.screen) continue;
|
|
const active = state.renderEdgeActive.get(edge.id) || 0;
|
|
const density = Math.min(1, Math.log1p(edge.edgeCount || 1) / 5.5);
|
|
const base = active > 0.01 ? 0.08 + active * 0.7 : edge.origin === 'ai-inference' ? 0.026 : edge.type === 'categorized_as' ? 0.017 : 0.006 + density * 0.014;
|
|
const alpha = Math.min(0.88, base);
|
|
if (alpha < 0.01) continue;
|
|
const mx = (a.screen.x + b.screen.x) / 2;
|
|
const my = (a.screen.y + b.screen.y) / 2 - Math.abs(a.screen.x - b.screen.x) * 0.035;
|
|
ctx.beginPath();
|
|
ctx.moveTo(a.screen.x, a.screen.y);
|
|
ctx.quadraticCurveTo(mx, my, b.screen.x, b.screen.y);
|
|
ctx.strokeStyle = edge.origin === 'ai-inference' ? `rgba(255,180,82,${alpha})` : `rgba(82,181,255,${alpha})`;
|
|
ctx.lineWidth = 0.25 + active * 1.7 + (edge.confidence || 0) * 0.18 + density * 0.65;
|
|
ctx.stroke();
|
|
}
|
|
ctx.restore();
|
|
}
|
|
|
|
function renderParticles(dt) {
|
|
if (state.viewMode === 'honeycomb') return;
|
|
ctx.save();
|
|
ctx.globalCompositeOperation = 'lighter';
|
|
for (let i = state.particles.length - 1; i >= 0; i--) {
|
|
const particle = state.particles[i];
|
|
particle.t += dt * particle.speed;
|
|
const original = state.edgeById.get(particle.edgeId);
|
|
const renderEdgeID = state.edgeRenderMap.get(particle.edgeId);
|
|
const renderEdge = renderEdgeID ? state.renderEdgeById.get(renderEdgeID) : null;
|
|
let a = renderEdge && state.renderNodeById.get(renderEdge.source);
|
|
let b = renderEdge && state.renderNodeById.get(renderEdge.target);
|
|
if (!renderEdge && original) {
|
|
const visibleID = state.visibleForNode.get(original.source);
|
|
const sameID = state.visibleForNode.get(original.target);
|
|
if (visibleID && visibleID === sameID) {
|
|
a = state.renderNodeById.get(visibleID);
|
|
b = a;
|
|
}
|
|
}
|
|
if (!original || !a?.screen || !b?.screen || particle.t > 1.08) {
|
|
state.particles.splice(i, 1);
|
|
continue;
|
|
}
|
|
const q = Math.min(1, particle.t);
|
|
const ease = q * q * (3 - 2 * q);
|
|
let x, y;
|
|
if (a === b) {
|
|
const angle = q * Math.PI * 2 + hashString(particle.edgeId) * 0.00001;
|
|
const orbit = 8 + Math.min(18, Math.log1p(a.memberCount || 1) * 3);
|
|
x = a.screen.x + Math.cos(angle) * orbit;
|
|
y = a.screen.y + Math.sin(angle) * orbit * 0.55;
|
|
} else {
|
|
x = a.screen.x + (b.screen.x - a.screen.x) * ease;
|
|
y = a.screen.y + (b.screen.y - a.screen.y) * ease - Math.sin(q * Math.PI) * 18;
|
|
}
|
|
const size = 8 * (particle.size || 1) * (0.82 + state.activityEnergy * 0.28);
|
|
const grad = ctx.createRadialGradient(x, y, 0, x, y, size);
|
|
grad.addColorStop(0, 'rgba(255,255,255,.95)');
|
|
grad.addColorStop(0.22, particle.color);
|
|
grad.addColorStop(1, 'rgba(82,231,255,0)');
|
|
ctx.fillStyle = grad;
|
|
ctx.beginPath();
|
|
ctx.arc(x, y, size, 0, Math.PI * 2);
|
|
ctx.fill();
|
|
}
|
|
ctx.restore();
|
|
}
|
|
|
|
function renderNodes(now, dt) {
|
|
for (const [id, value] of state.active) {
|
|
const next = Math.max(0, value - dt * 0.44);
|
|
if (next > 0) state.active.set(id, next); else state.active.delete(id);
|
|
}
|
|
for (const [id, value] of state.renderActive) {
|
|
const next = Math.max(0, value - dt * 0.44);
|
|
if (next > 0) state.renderActive.set(id, next); else state.renderActive.delete(id);
|
|
}
|
|
|
|
state.projected = [];
|
|
for (const node of state.renderNodes) {
|
|
node.screen = projectAnimatedNode(node, now);
|
|
state.projected.push(node);
|
|
}
|
|
state.projected.sort((a, b) => a.screen.z - b.screen.z);
|
|
|
|
ctx.save();
|
|
ctx.globalCompositeOperation = 'lighter';
|
|
for (const node of state.projected) {
|
|
const honeycomb = state.viewMode === 'honeycomb';
|
|
const isGroup = node.kind === 'supernode';
|
|
const act = state.renderActive.get(node.id) || (isGroup ? 0 : state.active.get(node.id) || 0);
|
|
const hover = state.hover?.id === node.id;
|
|
const selected = state.selected?.id === node.id;
|
|
const degree = honeycomb ? 0 : Math.min(60, isGroup ? node.externalEdgeCount || 0 : (state.adjacency.get(node.id) || []).length);
|
|
const memberScale = isGroup ? Math.min(7.5, 1.1 + Math.log2((node.memberCount || 1) + 1) * 0.72) : 0;
|
|
const baseWeight = honeycomb ? 0.72 : isGroup ? memberScale : Math.max(0.25, Math.min(2.5, (node.weight || 1) * 0.85 + Math.sqrt(degree) * 0.05));
|
|
const breathe = 0.5 + 0.5 * Math.sin(now * 0.0014 + node.x * 7 + node.y * 9);
|
|
const clusterEnergy = honeycomb ? 0 : state.clusterActive.get(node.clusterKey) || 0;
|
|
const focused = honeycomb ? 0 : node.clusterKey === state.focusClusterKey ? state.activityEnergy : 0;
|
|
const r = (isGroup ? 2.4 + baseWeight : 1.05 + baseWeight * 0.7 + node.screen.p * 0.55) * (1 + act * 0.48 + clusterEnergy * 0.06 + focused * 0.025) + (hover || selected ? 1.6 : 0);
|
|
const idleDim = state.mode === 'living' ? 0 : 0.025;
|
|
const baseAlpha = honeycomb ? 0.23 : (isGroup ? 0.42 : 0.17);
|
|
const alpha = Math.min(1, baseAlpha - idleDim + node.screen.p * (honeycomb ? 0.035 : 0.1) + Math.min(0.22, degree * 0.004) + act * 0.46 + clusterEnergy * 0.08 + focused * 0.04 + (hover || selected ? 0.18 : 0));
|
|
if (act > 0.05 || hover || selected || (!honeycomb && (node.kind === 'ai-think' || isGroup))) {
|
|
const haloRadius = r * (isGroup ? 2.35 + act * 2.4 : 3 + act * 4);
|
|
const halo = ctx.createRadialGradient(node.screen.x, node.screen.y, 0, node.screen.x, node.screen.y, haloRadius);
|
|
halo.addColorStop(0, nodeColor(node, (isGroup ? 0.28 : 0.48) + act * 0.35));
|
|
halo.addColorStop(0.24, nodeColor(node, (isGroup ? 0.09 : 0.14) + act * 0.2));
|
|
halo.addColorStop(1, nodeColor(node, 0));
|
|
ctx.fillStyle = halo;
|
|
ctx.beginPath();
|
|
ctx.arc(node.screen.x, node.screen.y, haloRadius, 0, Math.PI * 2);
|
|
ctx.fill();
|
|
}
|
|
ctx.fillStyle = nodeColor(node, alpha);
|
|
ctx.beginPath();
|
|
ctx.arc(node.screen.x, node.screen.y, r * (0.84 + breathe * 0.1), 0, Math.PI * 2);
|
|
ctx.fill();
|
|
if (isGroup) {
|
|
ctx.strokeStyle = nodeColor(node, 0.4 + act * 0.3);
|
|
ctx.lineWidth = 0.7 + Math.min(1.4, Math.log1p(node.internalEdgeCount || 0) * 0.12);
|
|
ctx.beginPath();
|
|
ctx.arc(node.screen.x, node.screen.y, r * 1.28 + breathe * 1.3, 0, Math.PI * 2);
|
|
ctx.stroke();
|
|
if (node.memberCount >= 8 && r > 5) {
|
|
ctx.save();
|
|
ctx.globalCompositeOperation = 'source-over';
|
|
ctx.font = '600 8px Inter, system-ui';
|
|
ctx.textAlign = 'center';
|
|
ctx.textBaseline = 'middle';
|
|
ctx.fillStyle = 'rgba(235,248,255,.82)';
|
|
ctx.fillText(node.memberCount > 999 ? `${Math.round(node.memberCount / 100) / 10}k` : String(node.memberCount), node.screen.x, node.screen.y + 0.5);
|
|
ctx.restore();
|
|
}
|
|
} else if (!honeycomb && node.kind === 'ai-think') {
|
|
ctx.strokeStyle = nodeColor(node, 0.55);
|
|
ctx.lineWidth = 0.7;
|
|
ctx.beginPath();
|
|
ctx.arc(node.screen.x, node.screen.y, r * 2 + breathe * 1.8, 0, Math.PI * 2);
|
|
ctx.stroke();
|
|
}
|
|
}
|
|
ctx.restore();
|
|
|
|
if (state.labels) {
|
|
ctx.save();
|
|
ctx.font = '10px Inter, system-ui';
|
|
ctx.textBaseline = 'middle';
|
|
for (const node of state.projected) {
|
|
const act = state.renderActive.get(node.id) || (node.kind === 'supernode' ? 0 : state.active.get(node.id) || 0);
|
|
const isGroup = node.kind === 'supernode';
|
|
if (!(act > 0.45 || state.hover?.id === node.id || state.selected?.id === node.id || (state.viewMode !== 'honeycomb' && !isGroup && node.kind === 'ai-think' && node.screen.p > 1.02))) continue;
|
|
const raw = isGroup ? `${node.label} · ${node.memberCount}` : node.label;
|
|
const label = raw.length > 42 ? raw.slice(0, 40) + '…' : raw;
|
|
const w = ctx.measureText(label).width + 12;
|
|
ctx.fillStyle = 'rgba(2,7,14,.84)';
|
|
ctx.fillRect(node.screen.x + 8, node.screen.y - 8, w, 16);
|
|
ctx.fillStyle = nodeColor(node, 0.95);
|
|
ctx.fillText(label, node.screen.x + 14, node.screen.y);
|
|
}
|
|
ctx.restore();
|
|
}
|
|
}
|
|
|
|
function renderWaves(dt) {
|
|
ctx.save();
|
|
ctx.globalCompositeOperation = 'screen';
|
|
for (let i = state.waves.length - 1; i >= 0; i--) {
|
|
const w = state.waves[i];
|
|
w.life -= dt * (w.decay || 1);
|
|
w.r += dt * (w.speed || 130);
|
|
if (w.life <= 0) {
|
|
state.waves.splice(i, 1);
|
|
continue;
|
|
}
|
|
const color = w.color || MODE_CONFIG.living.color;
|
|
ctx.strokeStyle = rgba(color, w.life * (w.alpha || 0.22));
|
|
ctx.lineWidth = (w.width || 1.3) * (0.8 + state.activityEnergy * 0.45);
|
|
if (w.dashed) ctx.setLineDash([4, 8]);
|
|
ctx.beginPath();
|
|
ctx.arc(w.x, w.y, w.r, 0, Math.PI * 2);
|
|
ctx.stroke();
|
|
ctx.setLineDash([]);
|
|
}
|
|
for (let i = state.bursts.length - 1; i >= 0; i--) {
|
|
const burst = state.bursts[i];
|
|
burst.life -= dt * 0.72;
|
|
if (burst.life <= 0) {
|
|
state.bursts.splice(i, 1);
|
|
continue;
|
|
}
|
|
const rayCount = burst.rays || 16;
|
|
const length = (1 - burst.life) * (burst.length || 115) + 18;
|
|
ctx.strokeStyle = rgba(burst.color, burst.life * 0.18);
|
|
ctx.lineWidth = 0.7;
|
|
for (let ray = 0; ray < rayCount; ray++) {
|
|
const angle = ray / rayCount * Math.PI * 2 + burst.spin;
|
|
const inner = 9 + (1 - burst.life) * 13;
|
|
ctx.beginPath();
|
|
ctx.moveTo(burst.x + Math.cos(angle) * inner, burst.y + Math.sin(angle) * inner);
|
|
ctx.lineTo(burst.x + Math.cos(angle) * length, burst.y + Math.sin(angle) * length);
|
|
ctx.stroke();
|
|
}
|
|
burst.spin += dt * 0.35;
|
|
}
|
|
ctx.restore();
|
|
}
|
|
|
|
function frame(now) {
|
|
const dt = Math.min(0.05, (now - state.last) / 1000);
|
|
state.last = now;
|
|
updateVisualState(now, dt);
|
|
expireForcedDisplayNodes();
|
|
if (state.viewMode === 'neural') updateLOD(now);
|
|
drawBackground(now);
|
|
if (state.viewMode === 'neural') {
|
|
renderActivityAura(now);
|
|
renderClusterClouds(now);
|
|
renderEdges();
|
|
renderParticles(dt);
|
|
}
|
|
renderNodes(now, dt);
|
|
if (state.viewMode === 'neural') {
|
|
renderWaves(dt);
|
|
renderCortexLabels();
|
|
} else {
|
|
state.waves.length = 0;
|
|
state.bursts.length = 0;
|
|
}
|
|
for (const [id, value] of state.edgeActive) {
|
|
const next = value - dt * (state.mode === 'living' ? 0.34 : 0.5);
|
|
if (next <= 0) state.edgeActive.delete(id); else state.edgeActive.set(id, next);
|
|
}
|
|
for (const [id, value] of state.renderEdgeActive) {
|
|
const next = value - dt * (state.mode === 'living' ? 0.34 : 0.5);
|
|
if (next <= 0) state.renderEdgeActive.delete(id); else state.renderEdgeActive.set(id, next);
|
|
}
|
|
requestAnimationFrame(frame);
|
|
}
|
|
requestAnimationFrame(frame);
|
|
|
|
function activate(evt) {
|
|
const requestedDuration = evt?.type?.includes('think') || evt?.type?.includes('research') ? 45000 : 32000;
|
|
forceDisplayNodes(evt?.node_ids || [], requestedDuration);
|
|
const strength = Math.max(0.15, Math.min(1.4, evt.strength || 0.6));
|
|
const mode = eventMode(evt);
|
|
const substep = evt.type === 'node.activated' || evt.type === 'edges.traversed';
|
|
if (evt.type !== 'brain.idle' && !substep) setVisualMode(mode, evt, strength);
|
|
if (state.viewMode === 'neural' && evt.type !== 'brain.idle' && mode !== 'learning' && evt.node_ids?.length) {
|
|
const duration = mode === 'thinking' || mode === 'researching' ? 45000 : LOD_CONFIG.revealNodeMS;
|
|
revealLODNodes(evt.node_ids, duration);
|
|
rebuildRenderGraph(performance.now(), !substep);
|
|
}
|
|
if (substep && !state.focusClusterKey && evt.node_ids?.length) {
|
|
const focus = state.nodeById.get(evt.node_ids[0]);
|
|
if (focus) focusCamera(focus);
|
|
}
|
|
const modeColor = (MODE_CONFIG[mode] || MODE_CONFIG.living).color;
|
|
for (const id of evt.node_ids || []) {
|
|
const node = state.nodeById.get(id);
|
|
state.active.set(id, Math.max(state.active.get(id) || 0, strength));
|
|
const visibleID = state.visibleForNode.get(id);
|
|
if (visibleID) state.renderActive.set(visibleID, Math.max(state.renderActive.get(visibleID) || 0, strength));
|
|
if (node?.clusterKey) state.clusterActive.set(node.clusterKey, Math.max(state.clusterActive.get(node.clusterKey) || 0, strength));
|
|
}
|
|
if (state.viewMode === 'neural') {
|
|
for (const id of evt.edge_ids || []) {
|
|
state.edgeActive.set(id, Math.max(state.edgeActive.get(id) || 0, strength));
|
|
const renderID = state.edgeRenderMap.get(id);
|
|
if (renderID) state.renderEdgeActive.set(renderID, Math.max(state.renderEdgeActive.get(renderID) || 0, strength));
|
|
const count = evt.type === 'brain.idle' ? 1 : Math.ceil(3 + strength * (mode === 'thinking' ? 7 : 5));
|
|
for (let i = 0; i < count; i++) {
|
|
state.particles.push({edgeId: id, t: -i * 0.065, speed: 0.32 + Math.random() * (mode === 'thinking' ? 0.9 : 0.62), color: modeParticleColor(mode), size: mode === 'thinking' ? 1.12 : mode === 'researching' ? 0.95 : 0.86});
|
|
}
|
|
}
|
|
}
|
|
if (evt.type !== 'brain.idle') {
|
|
state.pulses++;
|
|
$('pulseCount').textContent = state.pulses.toLocaleString('de-DE');
|
|
if (state.viewMode === 'neural') {
|
|
const focus = evt.node_ids?.[0] ? state.nodeById.get(evt.node_ids[0]) : null;
|
|
const visibleID = focus ? state.visibleForNode.get(focus.id) : '';
|
|
const visibleFocus = visibleID ? state.renderNodeById.get(visibleID) : null;
|
|
const x = visibleFocus?.screen?.x ?? focus?.screen?.x ?? state.width / 2;
|
|
const y = visibleFocus?.screen?.y ?? focus?.screen?.y ?? state.height / 2;
|
|
const waveCount = mode === 'thinking' ? 3 : mode === 'researching' ? 2 : 1;
|
|
for (let i = 0; i < waveCount; i++) {
|
|
state.waves.push({x, y, r: 18 + i * 17, life: 1 - i * 0.08, color: modeColor, speed: 118 + i * 35, width: mode === 'thinking' ? 1.8 : 1.25, alpha: mode === 'thinking' ? 0.3 : 0.24, dashed: mode === 'researching' && i === 1});
|
|
}
|
|
if (mode === 'thinking' || mode === 'researching') state.bursts.push({x, y, life: 1, color: modeColor, rays: mode === 'thinking' ? 22 : 16, length: mode === 'thinking' ? 150 : 115, spin: pseudo(evt.id || evt.type, 9) * Math.PI});
|
|
}
|
|
}
|
|
addLog(evt);
|
|
if (evt.type === 'graph.updated') loadGraph();
|
|
if (evt.type?.startsWith('think.') || evt.type?.startsWith('article.')) loadStatus();
|
|
}
|
|
|
|
function shouldLog(evt) {
|
|
if (!evt || evt.type === 'brain.idle' || evt.type === 'node.activated' || evt.type === 'edges.traversed') return false;
|
|
const important = new Set(['scan.started', 'graph.updated', 'embedding.batch', 'query.started', 'query.completed', 'think.queued', 'think.cycle.started', 'think.cycle.completed', 'think.cycle.failed', 'think.no_candidate', 'think.started', 'think.relation.created', 'think.rejected', 'think.failed', 'think.paused', 'research.started', 'article.plan.started', 'article.plan.skipped', 'article.research.started', 'article.research.failed', 'article.draft.started', 'article.draft.rejected', 'article.created', 'article.duplicate', 'article.skipped', 'article.failed', 'agent.run', 'glpi.kb.synced', 'glpi.kb.failed', 'persistence.flushed', 'persistence.failed']);
|
|
if (!important.has(evt.type) && !(evt.source === 'agent' || evt.source === 'knowledgebase' || evt.source === 'external' || evt.query)) return false;
|
|
const fingerprint = `${evt.type}|${evt.message || ''}|${evt.query || ''}|${evt.source || ''}`;
|
|
const last = state.lastLogFingerprint.get(fingerprint) || 0;
|
|
const now = Date.now();
|
|
const cooldown = evt.type === 'embedding.batch' ? 45000 : evt.type === 'graph.updated' ? 15000 : 4000;
|
|
if (now - last < cooldown) return false;
|
|
state.lastLogFingerprint.set(fingerprint, now);
|
|
return true;
|
|
}
|
|
|
|
function formatEvent(evt) {
|
|
const time = new Date(evt.timestamp || Date.now()).toLocaleTimeString('de-DE', {hour: '2-digit', minute: '2-digit', second: '2-digit'});
|
|
const nodeObjects = (evt.node_ids || []).map(id => state.nodeById.get(id)).filter(Boolean);
|
|
const nodes = nodeObjects.map(node => node.label);
|
|
const regions = [...new Set(nodeObjects.map(node => node.clusterKey).filter(Boolean))].slice(0, 3);
|
|
const titleMap = {
|
|
'scan.started': 'Synchronisation',
|
|
'graph.updated': 'Graph aktualisiert',
|
|
'embedding.batch': 'Embeddings',
|
|
'query.started': evt.source === 'knowledgebase' ? 'Knowledgebase-Suche' : evt.source === 'agent' ? 'Agent-Suche' : 'Suchanfrage',
|
|
'query.completed': 'Suche abgeschlossen',
|
|
'think.queued': 'AI-THINK eingeplant',
|
|
'think.cycle.started': 'Autonomer AI-THINK-Zyklus',
|
|
'think.cycle.completed': 'AI-THINK-Zyklus beendet',
|
|
'think.cycle.failed': 'AI-THINK-Zyklus fehlgeschlagen',
|
|
'think.no_candidate': 'Keine neue Beziehung',
|
|
'think.started': 'AI-THINK prüft Zusammenhang',
|
|
'think.relation.created': 'Relation übernommen',
|
|
'think.rejected': 'AI-THINK verwirft Edge',
|
|
'think.failed': 'AI-THINK Fehler',
|
|
'think.paused': 'AI-THINK pausiert',
|
|
'research.started': 'Relationsrecherche gestartet',
|
|
'article.plan.started': 'Artikelmehrwert wird geprüft',
|
|
'article.plan.skipped': 'Artikelsynthese übersprungen',
|
|
'article.research.started': 'Artikelrecherche gestartet',
|
|
'article.research.failed': 'Artikelrecherche fehlgeschlagen',
|
|
'article.draft.started': 'KB-Entwurf wird geschrieben',
|
|
'article.draft.rejected': 'KB-Entwurf abgelehnt',
|
|
'article.created': 'KB-Entwurf erstellt',
|
|
'article.duplicate': 'KB-Entwurf bereits vorhanden',
|
|
'article.skipped': 'Noch kein belastbarer Artikel',
|
|
'article.failed': 'Artikelsynthese fehlgeschlagen',
|
|
'agent.run': 'Agent-Lauf',
|
|
'glpi.kb.synced': 'GLPI-KB synchronisiert',
|
|
'glpi.kb.failed': 'GLPI-KB Fehler',
|
|
'persistence.flushed': 'Gebündelt gespeichert',
|
|
'persistence.failed': 'Speicherfehler'
|
|
};
|
|
const title = titleMap[evt.type] || evt.phase || evt.source || 'Aktivität';
|
|
const meta = [];
|
|
if (evt.metadata?.nodes) meta.push(`${Number(evt.metadata.nodes).toLocaleString('de-DE')} Nodes`);
|
|
if (evt.metadata?.edges) meta.push(`${Number(evt.metadata.edges).toLocaleString('de-DE')} Edges`);
|
|
if (evt.metadata?.documents) meta.push(`${Number(evt.metadata.documents).toLocaleString('de-DE')} GLPI-Beiträge`);
|
|
if (evt.metadata?.files !== undefined) meta.push(`${Number(evt.metadata.files).toLocaleString('de-DE')} Dateien`);
|
|
if (evt.metadata?.graph_version !== undefined) meta.push(`Graph v${Number(evt.metadata.graph_version).toLocaleString('de-DE')}`);
|
|
if (evt.metadata?.duration_ms) meta.push(`${Number(evt.metadata.duration_ms).toLocaleString('de-DE')} ms`);
|
|
if (evt.metadata?.hit_count) meta.push(`${Number(evt.metadata.hit_count).toLocaleString('de-DE')} Treffer`);
|
|
if (evt.metadata?.used_nodes) meta.push(`${Number(evt.metadata.used_nodes).toLocaleString('de-DE')} Quellen`);
|
|
if (evt.metadata?.batch_count) meta.push(`Batch ${Number(evt.metadata.batch_count).toLocaleString('de-DE')}`);
|
|
if (evt.metadata?.semantic_similarity !== undefined) meta.push(`${Math.round(Number(evt.metadata.semantic_similarity) * 100)}% Nähe`);
|
|
if (evt.metadata?.confidence !== undefined) meta.push(`${Math.round(Number(evt.metadata.confidence) * 100)}% Konfidenz`);
|
|
if (evt.metadata?.relation_type) meta.push(String(evt.metadata.relation_type));
|
|
if (evt.metadata?.research_result_count) meta.push(`${Number(evt.metadata.research_result_count)} Webquellen`);
|
|
if (evt.metadata?.trigger) meta.push(evt.metadata.trigger === 'manual' ? 'manuell' : 'automatisch');
|
|
if (evt.metadata?.batch_size) meta.push(`${Number(evt.metadata.batch_size)} Schritte`);
|
|
if (evt.metadata?.checked !== undefined) meta.push(`${Number(evt.metadata.checked)} geprüft`);
|
|
if (evt.metadata?.created !== undefined) meta.push(`${Number(evt.metadata.created)} erstellt`);
|
|
if (evt.metadata?.relations_created !== undefined) meta.push(`${Number(evt.metadata.relations_created)} Relationen`);
|
|
if (evt.metadata?.articles_created !== undefined) meta.push(`${Number(evt.metadata.articles_created)} Artikel`);
|
|
if (evt.metadata?.articles_skipped !== undefined) meta.push(`${Number(evt.metadata.articles_skipped)} Artikel übersprungen`);
|
|
if (evt.metadata?.productive_sources !== undefined) meta.push(`${Number(evt.metadata.productive_sources)} produktive Quellen`);
|
|
if (evt.metadata?.ai_sources !== undefined) meta.push(`${Number(evt.metadata.ai_sources)} AI-Quellen`);
|
|
if (evt.metadata?.production_ratio !== undefined) meta.push(`${Math.round(Number(evt.metadata.production_ratio) * 100)}% Produktionswissen`);
|
|
if (evt.metadata?.generation_depth !== undefined) meta.push(`Tiefe ${Number(evt.metadata.generation_depth)}`);
|
|
if (evt.metadata?.action) meta.push(String(evt.metadata.action).toUpperCase());
|
|
if (evt.metadata?.rejected !== undefined) meta.push(`${Number(evt.metadata.rejected)} verworfen`);
|
|
if (evt.metadata?.comparisons) meta.push(`${Number(evt.metadata.comparisons).toLocaleString('de-DE')} Vergleiche`);
|
|
if (evt.metadata?.candidate_comparisons) meta.push(`${Number(evt.metadata.candidate_comparisons).toLocaleString('de-DE')} Vergleiche`);
|
|
if (evt.metadata?.threshold !== undefined) meta.push(`Schwelle ${Math.round(Number(evt.metadata.threshold) * 100)}%`);
|
|
if ((evt.node_ids || []).length) meta.push(`${evt.node_ids.length} aktive Knoten`);
|
|
if ((evt.edge_ids || []).length) meta.push(`${evt.edge_ids.length} aktive Kanten`);
|
|
if (evt.metadata?.ticket_id) meta.push(`Ticket ${evt.metadata.ticket_id}`);
|
|
if (evt.metadata?.outcome) meta.push(String(evt.metadata.outcome));
|
|
if (evt.metadata?.path) meta.push(String(evt.metadata.path).split('/').slice(-2).join('/'));
|
|
const eventQuery = evt.query || evt.metadata?.research_query || '';
|
|
if (eventQuery) meta.push('Query');
|
|
let message = evt.message || eventQuery || evt.type;
|
|
if ((evt.type === 'think.started' || evt.type === 'think.relation.created' || evt.type === 'think.rejected' || evt.type === 'research.started' || evt.type?.startsWith('article.')) && nodes.length >= 2) {
|
|
message = `${message} · ${nodes.slice(0, 2).join(' ↔ ')}`;
|
|
} else if (evt.type === 'query.started' && evt.query) {
|
|
message = `${evt.source === 'agent' ? 'Agent' : evt.source === 'knowledgebase' ? 'Knowledgebase' : 'Brain'} verarbeitet eine Anfrage.`;
|
|
}
|
|
return {time, title, message, meta, query: eventQuery, regions, cls: evt.type?.includes('think') || evt.type?.startsWith('article.') ? (evt.type?.includes('research') ? 'research' : 'think') : evt.type?.includes('research') ? 'research' : evt.type === 'graph.updated' || evt.type === 'scan.started' || evt.type?.startsWith('glpi.kb') || evt.type?.startsWith('persistence.') ? 'graph' : evt.source === 'agent' ? 'agent' : ''};
|
|
}
|
|
|
|
function addLog(evt) {
|
|
if (!shouldLog(evt)) return;
|
|
const out = formatEvent(evt);
|
|
const item = document.createElement('div');
|
|
item.className = 'activity-item ' + out.cls;
|
|
item.innerHTML = `<b>${escapeHTML(out.title)}</b><time>${out.time}</time><p>${escapeHTML(out.message)}</p>${out.regions.length ? `<div class="region">Cortex: ${out.regions.map(escapeHTML).join(' · ')}</div>` : ''}${out.meta.length ? `<div class="meta">${out.meta.map(v => `<span>${escapeHTML(v)}</span>`).join('')}</div>` : ''}${out.query ? `<div class="query">${escapeHTML(out.query)}</div>` : ''}`;
|
|
const log = $('activityLog');
|
|
log.prepend(item);
|
|
while (log.children.length > 18) log.removeChild(log.lastChild);
|
|
}
|
|
|
|
const stream = new EventSource('/api/stream');
|
|
stream.addEventListener('activity', e => {
|
|
try {
|
|
activate(JSON.parse(e.data));
|
|
setSystem('lebt', true);
|
|
} catch {}
|
|
});
|
|
stream.onerror = () => setSystem('verbindet', false);
|
|
stream.onopen = () => setSystem('lebt', true);
|
|
|
|
$('viewNeural').addEventListener('click', () => applyViewMode('neural', true));
|
|
$('viewHoneycomb').addEventListener('click', () => applyViewMode('honeycomb', true));
|
|
|
|
$('toggleLearning').addEventListener('click', async e => {
|
|
const button = e.currentTarget;
|
|
button.disabled = true;
|
|
state.runtimeSettings.learning_enabled = !state.runtimeSettings.learning_enabled;
|
|
try {
|
|
await persistRuntimeSettings();
|
|
if (!state.runtimeSettings.learning_enabled && !state.runtimeSettings.thinking_enabled) setVisualMode('living');
|
|
} catch (err) {
|
|
state.runtimeSettings.learning_enabled = !state.runtimeSettings.learning_enabled;
|
|
addLog({type: 'runtime.settings.failed', source: 'ui', phase: 'control', message: `Learning konnte nicht umgestellt werden: ${err.message}`, timestamp: new Date().toISOString()});
|
|
} finally {
|
|
button.disabled = false;
|
|
syncRuntimeControls();
|
|
}
|
|
});
|
|
|
|
$('toggleThinking').addEventListener('click', async e => {
|
|
const button = e.currentTarget;
|
|
button.disabled = true;
|
|
state.runtimeSettings.thinking_enabled = !state.runtimeSettings.thinking_enabled;
|
|
try {
|
|
await persistRuntimeSettings();
|
|
if (!state.runtimeSettings.learning_enabled && !state.runtimeSettings.thinking_enabled) setVisualMode('living');
|
|
} catch (err) {
|
|
state.runtimeSettings.thinking_enabled = !state.runtimeSettings.thinking_enabled;
|
|
addLog({type: 'runtime.settings.failed', source: 'ui', phase: 'control', message: `Thinking konnte nicht umgestellt werden: ${err.message}`, timestamp: new Date().toISOString()});
|
|
} finally {
|
|
button.disabled = false;
|
|
syncRuntimeControls();
|
|
}
|
|
});
|
|
|
|
$('openSettings').addEventListener('click', openSettingsPanel);
|
|
$('closeSettings').addEventListener('click', closeSettingsPanel);
|
|
$('settingsBackdrop').addEventListener('click', closeSettingsPanel);
|
|
$('categorySearch').addEventListener('input', e => renderCategoryFilters(e.currentTarget.value));
|
|
$('settingsLearning').addEventListener('change', e => { if (state.settingsDraft) state.settingsDraft.learning_enabled = e.currentTarget.checked; });
|
|
$('settingsThinking').addEventListener('change', e => { if (state.settingsDraft) state.settingsDraft.thinking_enabled = e.currentTarget.checked; });
|
|
$('settingsMaxDisplayNodes').addEventListener('input', e => {
|
|
if (!state.settingsDraft) return;
|
|
state.settingsDraft.max_display_nodes = Math.max(0, Math.min(500000, Math.trunc(Number(e.currentTarget.value) || 0)));
|
|
updateDisplayLimitHint(state.settingsDraft.max_display_nodes);
|
|
});
|
|
$('settingsViewNeural').addEventListener('click', () => {
|
|
if (state.settingsDraft) state.settingsDraft.view_mode = 'neural';
|
|
$('settingsViewNeural').classList.add('active');
|
|
$('settingsViewHoneycomb').classList.remove('active');
|
|
});
|
|
$('settingsViewHoneycomb').addEventListener('click', () => {
|
|
if (state.settingsDraft) state.settingsDraft.view_mode = 'honeycomb';
|
|
$('settingsViewHoneycomb').classList.add('active');
|
|
$('settingsViewNeural').classList.remove('active');
|
|
});
|
|
$('settingsPanel').addEventListener('change', e => {
|
|
const input = e.target.closest('[data-category-filter]');
|
|
if (!input || !state.settingsDraft) return;
|
|
const key = input.dataset.categoryFilter;
|
|
const property = `${key}_categories`;
|
|
const selected = new Map((state.settingsDraft[property] || []).map(value => [String(value).toLowerCase(), value]));
|
|
const normalized = String(input.value).toLowerCase();
|
|
if (input.checked) selected.set(normalized, input.value); else selected.delete(normalized);
|
|
state.settingsDraft[property] = [...selected.values()];
|
|
});
|
|
document.querySelectorAll('[data-clear-filter]').forEach(button => button.addEventListener('click', () => {
|
|
if (!state.settingsDraft) return;
|
|
state.settingsDraft[`${button.dataset.clearFilter}_categories`] = [];
|
|
renderCategoryFilters($('categorySearch').value);
|
|
}));
|
|
document.querySelectorAll('[data-node-limit]').forEach(button => button.addEventListener('click', () => {
|
|
if (!state.settingsDraft) return;
|
|
const value = Math.max(0, Math.min(500000, Math.trunc(Number(button.dataset.nodeLimit) || 0)));
|
|
state.settingsDraft.max_display_nodes = value;
|
|
$('settingsMaxDisplayNodes').value = String(value);
|
|
updateDisplayLimitHint(value);
|
|
}));
|
|
|
|
$('saveSettings').addEventListener('click', async e => {
|
|
if (!state.settingsDraft) return;
|
|
const button = e.currentTarget;
|
|
const feedback = $('settingsFeedback');
|
|
button.disabled = true;
|
|
feedback.textContent = 'Einstellungen werden übernommen …';
|
|
try {
|
|
state.settingsDraft.learning_enabled = $('settingsLearning').checked;
|
|
state.settingsDraft.thinking_enabled = $('settingsThinking').checked;
|
|
state.settingsDraft.max_display_nodes = Math.max(0, Math.min(500000, Math.trunc(Number($('settingsMaxDisplayNodes').value) || 0)));
|
|
await persistRuntimeSettings(state.settingsDraft);
|
|
feedback.textContent = 'Aktiv · Speicherung erfolgt gebündelt mit dem nächsten Flush.';
|
|
setTimeout(closeSettingsPanel, 550);
|
|
} catch (err) {
|
|
feedback.textContent = `Fehler: ${err.message}`;
|
|
} finally {
|
|
button.disabled = false;
|
|
}
|
|
});
|
|
|
|
$('toggleLabels').addEventListener('click', e => {
|
|
state.labels = !state.labels;
|
|
e.currentTarget.classList.toggle('active', state.labels);
|
|
});
|
|
$('toggleEdges').addEventListener('click', e => {
|
|
state.edgesVisible = !state.edgesVisible;
|
|
e.currentTarget.classList.toggle('active', state.edgesVisible);
|
|
});
|
|
$('toggleRotate').addEventListener('click', e => {
|
|
state.autoRotate = !state.autoRotate;
|
|
e.currentTarget.classList.toggle('active', state.autoRotate);
|
|
});
|
|
$('toggleCortex').addEventListener('click', e => {
|
|
state.cortexVisible = !state.cortexVisible;
|
|
e.currentTarget.classList.toggle('active', state.cortexVisible);
|
|
});
|
|
$('toggleLOD').addEventListener('click', e => {
|
|
state.lodEnabled = !state.lodEnabled;
|
|
e.currentTarget.classList.toggle('active', state.lodEnabled);
|
|
state.lodDirty = true;
|
|
rebuildRenderGraph(performance.now(), true);
|
|
});
|
|
$('resetView').addEventListener('click', () => {
|
|
state.yaw = 0.18;
|
|
state.pitch = -0.12;
|
|
state.zoom = 1.02;
|
|
state.zoomTarget = 1.02;
|
|
state.lodDirty = true;
|
|
});
|
|
$('clearLog').addEventListener('click', () => {$('activityLog').innerHTML = '';});
|
|
|
|
$('enrichNow').addEventListener('click', async e => {
|
|
const button = e.currentTarget;
|
|
button.disabled = true;
|
|
button.classList.add('running');
|
|
const small = button.querySelector('small');
|
|
if (small) small.textContent = 'STARTET';
|
|
try {
|
|
await api('/api/enrich?async=1', {method: 'POST', body: '{}'});
|
|
await loadStatus();
|
|
} catch (err) {
|
|
addLog({type: 'think.failed', source: 'ui', phase: 'manual', message: `Manueller AI-THINK-Start fehlgeschlagen: ${err.message}`, timestamp: new Date().toISOString(), metadata: {trigger: 'manual'}});
|
|
button.disabled = false;
|
|
button.classList.remove('running');
|
|
if (small) small.textContent = 'STARTEN';
|
|
}
|
|
});
|
|
|
|
canvas.addEventListener('pointerdown', e => {
|
|
state.dragging = true;
|
|
state.moved = false;
|
|
state.lastX = e.clientX;
|
|
state.lastY = e.clientY;
|
|
canvas.setPointerCapture(e.pointerId);
|
|
});
|
|
|
|
canvas.addEventListener('pointermove', e => {
|
|
if (state.dragging) {
|
|
const dx = e.clientX - state.lastX;
|
|
const dy = e.clientY - state.lastY;
|
|
if (Math.abs(dx) > 1 || Math.abs(dy) > 1) state.moved = true;
|
|
state.yaw += dx * 0.006;
|
|
state.pitch = Math.max(-1, Math.min(1, state.pitch + dy * 0.005));
|
|
state.lastX = e.clientX;
|
|
state.lastY = e.clientY;
|
|
return;
|
|
}
|
|
let best = null, dist = 14;
|
|
for (const n of state.projected) {
|
|
if (!n.screen) continue;
|
|
const d = Math.hypot(n.screen.x - e.clientX, n.screen.y - e.clientY);
|
|
if (d < dist) {
|
|
dist = d;
|
|
best = n;
|
|
}
|
|
}
|
|
state.hover = best;
|
|
const tip = $('tooltip');
|
|
if (best) {
|
|
tip.classList.remove('hidden');
|
|
if (best.kind === 'supernode') {
|
|
const level = best.lodLevel === 2 ? 'Themenwolke' : 'lokale Wissensgruppe';
|
|
tip.innerHTML = `<strong>${escapeHTML(best.label)}</strong><small>${level} · ${best.memberCount.toLocaleString('de-DE')} Elemente<br>${best.internalEdgeCount.toLocaleString('de-DE')} interne · ${best.externalEdgeCount.toLocaleString('de-DE')} externe Edges<br>Klicken zum Auflösen</small>`;
|
|
} else {
|
|
const degree = (state.adjacency.get(best.id) || []).length;
|
|
tip.innerHTML = `<strong>${escapeHTML(best.label)}</strong><small>${escapeHTML((best.categories || []).slice(0, 3).join(' · ') || best.kind || 'Knoten')}<br>${degree} Verbindungen · ${escapeHTML(best.status || 'aktiv')}</small>`;
|
|
}
|
|
tip.style.left = Math.min(state.width - 280, e.clientX + 14) + 'px';
|
|
tip.style.top = Math.min(state.height - 86, e.clientY + 14) + 'px';
|
|
} else {
|
|
tip.classList.add('hidden');
|
|
}
|
|
});
|
|
|
|
canvas.addEventListener('pointerup', () => {
|
|
if (!state.moved && state.hover) {
|
|
if (state.hover.kind === 'supernode') {
|
|
openLODGroup(state.hover);
|
|
state.renderActive.set(state.hover.id, 1.1);
|
|
} else {
|
|
state.selected = state.hover;
|
|
state.active.set(state.hover.id, 1.2);
|
|
revealLODNodes([state.hover.id], LOD_CONFIG.revealNodeMS);
|
|
rebuildRenderGraph(performance.now(), true);
|
|
}
|
|
}
|
|
state.dragging = false;
|
|
});
|
|
canvas.addEventListener('pointercancel', () => state.dragging = false);
|
|
canvas.addEventListener('wheel', e => {
|
|
e.preventDefault();
|
|
state.zoom = Math.max(0.55, Math.min(2.4, state.zoom * Math.exp(-e.deltaY * 0.001)));
|
|
state.zoomTarget = state.zoom;
|
|
state.lodDirty = true;
|
|
}, {passive: false});
|
|
|
|
function escapeHTML(v) {
|
|
return String(v ?? '').replace(/[&<>'"]/g, c => ({'&': '&', '<': '<', '>': '>', "'": ''', '"': '"'}[c]));
|
|
}
|
|
|
|
(async () => {
|
|
await loadRuntimeConfiguration();
|
|
await loadGraph();
|
|
await loadStatus();
|
|
})();
|
|
setInterval(loadGraph, 30000);
|
|
setInterval(loadStatus, 3000);
|
|
})();
|