Files
semantica/explorer/src/workspaces/GraphWorkspace/GraphWorkspaceShell.tsx
T
KaifAhmad1andClaude Sonnet 4.6 3ea1283626 feat(explorer): add Semantica Knowledge Explorer UI with full feature set
## Folder & Project
- Renamed `semantica-explorer/` → `explorer/` (cleaner path)
- Browser tab title: `Semantica Knowledge Explorer`
- Brand pill: `SEM` → `SKE` (tooltip: Semantica Knowledge Explorer)
- Nav rail label: `Explore` → `Knowledge Explorer`
- package.json name: `semantica-knowledge-explorer`
- Downgraded Vite 8 → Vite 5 for Node v20.17.0 compatibility

## App Shell
- Dynamic per-workspace kicker labels replacing static "Workspace" pill:
  Graph Studio · Vocabulary Browser · Reasoning Engine · SPARQL Query ·
  Decision Intelligence · Knowledge Audit · Graph Governance

## Enrich Workspace — 2 new tabs
### Entity Resolution tab
- Similarity threshold slider (0.50–0.99)
- Run Dedup Scan → POST /api/enrich/dedup
- Flagged pairs list with colour-coded score bars (red/amber/green)
- Expandable inline diff: primary vs duplicate side-by-side
- One-click Merge → POST /api/enrich/merge with logEvent dispatch
- Dismiss per pair; Clear all button
- Merge history sidebar pulled live from Registry store

### Registry tab (Document Registry)
- Live chronological audit log of all KG mutations in-session
- Colour-coded op-type badges: IMPORT · MERGE · ADD NODE · ADD EDGE ·
  INFER · DELETE · EXPORT · VOCAB
- Filter pills to narrow by operation type
- Expandable JSON detail rows per entry
- Clear log button
- Entirely client-side via registryStore (no backend needed)

## Manage Workspace — 2 new tabs
### KG Overview tab
- Stats chips: total nodes, edges, graph density
- Node type breakdown bar chart (up to 8 types, colour-coded)
- Edge type breakdown bar chart from /api/graph/stats
- Top-10 most connected nodes ranked by degree
- Skeleton loading states + Refresh button

### Ontology Summary tab
- Read-only SKOS scheme tree (scheme → top concepts → narrower)
- Concept detail panel: labels, notation, description, narrower nav
- "Open Full Browser" button deep-links to Vocabulary Browser tab

## Decision Workspace polish
- CausalFlowDiagram: vertical node cards connected by relationship pills
- Outcome badges: colour-coded (green=approved, red=rejected, amber=deferred)
- Live filter input across decision ID, category, and outcome
- Animated skeleton loading while list fetches

## Graph Inspector polish
- PathFlowViz: clickable node chips connected by edge-type labels;
  clicking a chip focuses that node in the canvas
- Link Prediction button shows spinner while computing
- Empty states for path trace and candidate links sections

## Registry dispatch — WebSocket
- ADD_NODE events → logEvent("add-node", …) in GraphWorkspace WS handler
- ADD_EDGE events → logEvent("add-edge", …) in GraphWorkspace WS handler
- Import, Export, Merge already dispatched logEvent on API response

## Graph visibility overhaul
### Edge colours (were nearly transparent, now clearly visible)
- edgeBackbone:    rgba(…, 0.04)  → rgba(…, 0.38)
- edgeStructure:   rgba(…, 0.009) → rgba(…, 0.28)
- edgeInspection:  rgba(…, 0.026) → rgba(…, 0.48)
- Muted edges:     0.009–0.02    → 0.12–0.26
- Focus edges:     0.16          → 0.42

### Edge sizes
- default minSize: 0.18 → 0.9 (always at least 1 pixel wide)
- path minSize:    1.8  → 2.4
- inactive/muted:  hide:true → hide:false (dimmed not hidden)

### Node sizes
- default sizeMultiplier: 0.72 → 0.92
- default minSize:        0.68 → 3.5 (visible at all zoom levels)
- overview nodeScale:     0.66 → 0.88
- nodeTintMix (colour):   0.03 → 0.14
- nodeCoreMix (brightness): 0.52 → 0.72

### Label budget
- overview:   10  → 28 labels
- structure:  36  → 60 labels
- inspection: 80  → 120 labels

### Sigma settings
- renderEdgeLabels:        false → true  (relationship type on every edge)
- edgeLabelSize:           —    → 10
- labelRenderedSizeThreshold: 4 → 2
- labelDensity:            0.86 → 1.1
- hideLabelsOnMove:        true → false (labels stay visible while panning)
- hideEdgesOnMove:         true → false (edges stay visible while panning)
- minCameraRatio:          —    → 0.04 (prevents zooming inside a node)
- maxCameraRatio:          —    → 8    (graph stays visible when zoomed out)

### Zoom controls
- Added Zoom In (+) and Zoom Out (−) buttons to graph toolbar
- Smooth animated zoom via camera.animatedZoom / animatedUnzoom (200ms)
- Mouse scroll wheel clamped between minCameraRatio and maxCameraRatio

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-13 13:40:40 +05:30

822 lines
34 KiB
TypeScript

import { lazy, Suspense, useCallback, useEffect, useMemo, useRef, useState, type CSSProperties } from "react";
import { GraphLoadingOverlay } from "./GraphLoadingOverlay";
import { getGraphLoadTitle } from "./graphLoading";
import { useGraphData, useReloadGraphData } from "./useGraphData";
import type {
ApiNode,
GraphLayoutStatus,
GraphLoadProgress,
GraphPath,
GraphSelectedNodeState,
GraphStageHandle,
GraphViewMode,
} from "./types";
type SearchResult = {
node: {
id: string;
type: string;
content: string;
properties: Record<string, unknown>;
};
score: number;
};
type LinkPrediction = {
target: string;
type: string;
label?: string;
score: number;
};
type PathResponse = {
path: GraphPath;
total_weight: number;
};
type TemporalBounds = {
min?: string | null;
max?: string | null;
};
const GraphRuntimeStage = lazy(() =>
import("./GraphRuntimeStage").then((module) => ({ default: module.GraphRuntimeStage })),
);
const TimelinePanel = lazy(() =>
import("./TimelinePanel").then((module) => ({ default: module.TimelinePanel })),
);
const HUD_CSS = `
.palantir-bg {
background:
radial-gradient(circle at top, rgba(103, 182, 255, 0.1), transparent 24%),
linear-gradient(180deg, #07111d 0%, #02060e 100%);
}
.palantir-grid {
position: absolute;
inset: 0;
background-image:
linear-gradient(rgba(88, 166, 255, 0.04) 1px, transparent 1px),
linear-gradient(90deg, rgba(88, 166, 255, 0.04) 1px, transparent 1px);
background-size: 44px 44px;
pointer-events: none;
z-index: 1;
opacity: 0.78;
}
.palantir-vignette {
position: absolute;
inset: 0;
background: radial-gradient(ellipse at center, transparent 34%, rgba(1, 4, 9, 0.88) 100%);
pointer-events: none;
z-index: 2;
}
.hud-scrollbar::-webkit-scrollbar { width: 6px; }
.hud-scrollbar::-webkit-scrollbar-track { background: transparent; }
.hud-scrollbar::-webkit-scrollbar-thumb { background: rgba(88, 166, 255, 0.25); border-radius: 6px; }
.graph-shell-top { position: absolute; top: 18px; left: 18px; right: 18px; z-index: 10; display: flex; justify-content: space-between; align-items: flex-start; gap: 16px; pointer-events: none; }
.graph-status-card, .graph-command-card {
pointer-events: auto;
border: 1px solid rgba(132, 197, 255, 0.12);
background: linear-gradient(180deg, rgba(7, 16, 29, 0.86), rgba(10, 22, 39, 0.72)), radial-gradient(circle at top, rgba(103, 182, 255, 0.08), transparent 50%);
box-shadow: 0 18px 42px rgba(0, 0, 0, 0.28), inset 0 1px 0 rgba(255,255,255,0.04);
backdrop-filter: blur(18px);
}
.graph-status-card { width: min(420px, 38vw); border-radius: 24px; padding: 16px 18px; }
.graph-command-card { width: min(620px, 55vw); border-radius: 24px; padding: 14px; display: flex; flex-direction: column; gap: 12px; }
.graph-status-label { display: inline-flex; align-items: center; gap: 8px; color: rgba(160, 191, 223, 0.88); font-size: 11px; font-weight: 800; text-transform: uppercase; letter-spacing: 0.08em; margin-bottom: 10px; }
.graph-status-label::before { content: ""; width: 7px; height: 7px; border-radius: 999px; background: linear-gradient(135deg, #8ed3ff, #ffb36a); box-shadow: 0 0 12px rgba(142, 211, 255, 0.5); }
.graph-status-title { color: #eef5ff; font-size: 20px; font-weight: 800; letter-spacing: -0.04em; margin-bottom: 6px; }
.graph-status-copy { color: #8fa8c6; font-size: 12px; line-height: 1.55; margin-bottom: 14px; max-width: 40ch; }
.graph-status-metrics, .graph-command-row, .graph-toggle-cluster, .graph-action-cluster { display: flex; gap: 8px; flex-wrap: wrap; }
.graph-command-row { justify-content: space-between; align-items: center; gap: 10px; }
.graph-search-shell { flex: 1; min-width: 260px; display: flex; align-items: center; gap: 10px; padding: 8px 10px 8px 14px; border-radius: 18px; border: 1px solid rgba(132, 197, 255, 0.12); background: rgba(0, 0, 0, 0.18); box-shadow: inset 0 1px 0 rgba(255,255,255,0.03); }
.graph-search-shell input { flex: 1; min-width: 0; border: none !important; background: transparent !important; padding: 0 !important; margin: 0 !important; }
.graph-search-shell input:focus { outline: none; }
.graph-search-results { position: absolute; top: 120px; right: 18px; width: min(420px, calc(100vw - 132px)); max-height: 320px; overflow-y: auto; padding: 12px; border-radius: 20px; border: 1px solid rgba(132, 197, 255, 0.14); background: linear-gradient(180deg, rgba(8, 18, 33, 0.94), rgba(10, 21, 38, 0.86)); box-shadow: 0 18px 50px rgba(0,0,0,0.34); backdrop-filter: blur(18px); pointer-events: auto; z-index: 11; }
.graph-search-results-label { color: #6f89ab; font-size: 11px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.08em; margin-bottom: 10px; }
.graph-search-result-card { width: 100%; text-align: left; padding: 12px 14px; border-radius: 16px; border: 1px solid rgba(132, 197, 255, 0.08); background: rgba(255, 255, 255, 0.025); cursor: pointer; transition: transform 160ms ease, border-color 160ms ease, background 160ms ease; }
.graph-search-result-card:hover { transform: translateY(-1px); border-color: rgba(132, 197, 255, 0.18); background: rgba(103, 182, 255, 0.08); }
.graph-inspector { pointer-events: auto; position: absolute; right: 18px; top: 154px; bottom: 108px; width: 380px; overflow-y: auto; transition: transform 0.34s cubic-bezier(0.16,1,0.3,1), opacity 0.22s ease; border-radius: 28px; border: 1px solid rgba(132, 197, 255, 0.14); background: linear-gradient(180deg, rgba(8, 18, 33, 0.9), rgba(6, 12, 22, 0.88)), radial-gradient(circle at top, rgba(103, 182, 255, 0.08), transparent 40%); box-shadow: -18px 0 48px rgba(0, 0, 0, 0.32), inset 0 1px 0 rgba(255,255,255,0.04); backdrop-filter: blur(20px); }
.graph-inspector[data-open='false'] { transform: translateX(calc(100% + 24px)); opacity: 0; }
@keyframes sem-loader-pulse {
0%, 100% { transform: translateY(0) scale(0.92); opacity: 0.55; }
50% { transform: translateY(-4px) scale(1.08); opacity: 1; }
}
@media (max-width: 1220px) {
.graph-shell-top { flex-direction: column; align-items: stretch; }
.graph-status-card, .graph-command-card { width: auto; }
.graph-search-results { top: 202px; right: 18px; left: 18px; width: auto; }
}
`;
function useDebounce<T>(value: T, delay: number): T {
const [debouncedValue, setDebouncedValue] = useState<T>(value);
useEffect(() => {
const timeout = setTimeout(() => setDebouncedValue(value), delay);
return () => clearTimeout(timeout);
}, [delay, value]);
return debouncedValue;
}
function sourceAttribution(properties: Record<string, unknown>) {
const keys = ["source", "source_url", "pmid", "pmids", "evidence", "provenance", "confidence"];
return keys
.filter((key) => key in properties)
.map((key) => ({ key, value: properties[key] }));
}
function toSelectedNodeState(node: ApiNode, neighborCount: number, fallbackColor = "#58a6ff"): GraphSelectedNodeState {
return {
id: node.id,
label: node.content || node.id,
content: node.content || node.id,
nodeType: node.type,
color: fallbackColor,
valid_from: node.valid_from ?? null,
valid_until: node.valid_until ?? null,
properties: node.properties ?? {},
neighborCount,
};
}
function TimelineFallback({ min, max }: TemporalBounds) {
return (
<div
style={{
width: "100%",
height: "90px",
borderTop: "1px solid rgba(88, 166, 255, 0.2)",
background: "rgba(1, 4, 9, 0.88)",
display: "flex",
alignItems: "center",
justifyContent: "space-between",
padding: "0 18px",
color: "#8fa8c6",
fontSize: 12,
flexShrink: 0,
}}
>
<span>Temporal scrubber</span>
<span>{min || max ? "Preparing timeline runtime..." : "Temporal bounds loading..."}</span>
</div>
);
}
function NodePanel({
node,
predictions,
predictionType,
onPredictionTypeChange,
onRunPredictions,
pathTargetId,
onPathTargetChange,
onTracePath,
pathResult,
onDownloadProvenance,
}: {
node: GraphSelectedNodeState | null;
predictions: LinkPrediction[];
predictionType: string;
onPredictionTypeChange: (value: string) => void;
onRunPredictions: () => void;
pathTargetId: string;
onPathTargetChange: (value: string) => void;
onTracePath: () => void;
pathResult: PathResponse | null;
onDownloadProvenance: (format: "json" | "markdown") => void;
}) {
if (!node) {
return (
<div style={{ padding: 32, textAlign: "center" }}>
<p style={{ color: "#8b949e", fontSize: 14, margin: 0 }}>
Search for a node or click one in the canvas to inspect its properties.
</p>
</div>
);
}
const properties = node.properties ?? {};
const attribution = sourceAttribution(properties);
const accentColor = node.color || "#58a6ff";
const propertyEntries = Object.entries(properties).filter(([key]) => !["x", "y", "valid_from", "valid_until", "content", "source", "source_url", "pmid", "pmids", "evidence", "provenance", "confidence"].includes(key));
return (
<aside style={{ padding: 24, display: "flex", flexDirection: "column", gap: 18 }}>
<div style={{ borderBottom: "1px solid rgba(88, 166, 255, 0.14)", paddingBottom: 16 }}>
<div style={{ display: "flex", alignItems: "center", gap: 10, marginBottom: 8 }}>
<span style={{ background: accentColor, boxShadow: `0 0 10px ${accentColor}`, width: 8, height: 8, borderRadius: "50%" }} />
<span style={{ color: accentColor, fontSize: 12, fontWeight: 800, textTransform: "uppercase", letterSpacing: "0.08em" }}>{node.nodeType || "Entity"}</span>
</div>
<h3 style={{ margin: 0, color: "#fff", fontSize: 24, lineHeight: 1, fontWeight: 800, letterSpacing: "-0.04em", wordBreak: "break-word" }}>{node.label}</h3>
<div style={{ color: "#8b949e", fontSize: 12, marginTop: 8 }}>{node.id}</div>
<div style={{ display: "flex", gap: 8, flexWrap: "wrap", marginTop: 12 }}>
{node.valid_from || node.valid_until ? <span style={subtleChipStyle}>temporal</span> : null}
<span style={subtleChipStyle}>{node.neighborCount} neighbors</span>
{attribution.length ? <span style={subtleChipStyle}>{attribution.length} source fields</span> : null}
{predictions.length ? <span style={subtleChipStyle}>{predictions.length} candidate links</span> : null}
</div>
</div>
<section style={sectionStyle}>
<div style={sectionTitleStyle}>Actions</div>
<div style={{ display: "flex", flexDirection: "column", gap: 10 }}>
<button style={{ ...actionButtonStyle, width: "100%", justifyContent: "center" }} onClick={onRunPredictions}>Run Link Prediction</button>
<div style={{ display: "flex", gap: 8, flexWrap: "wrap" }}>
<button style={secondaryActionButtonStyle} onClick={() => onDownloadProvenance("json")}>Provenance JSON</button>
<button style={secondaryActionButtonStyle} onClick={() => onDownloadProvenance("markdown")}>Provenance MD</button>
</div>
</div>
<input value={predictionType} onChange={(event) => onPredictionTypeChange(event.target.value)} placeholder="Optional candidate type filter, e.g. disease" style={inputStyle} />
</section>
<section style={sectionStyle}>
<div style={sectionTitleStyle}>Trace Path</div>
<input value={pathTargetId} onChange={(event) => onPathTargetChange(event.target.value)} placeholder="Target node ID" style={inputStyle} />
<button style={actionButtonStyle} onClick={onTracePath}>Trace Causal Path</button>
{pathResult?.path?.length ? (
<div style={{ display: "flex", flexDirection: "column", gap: 6, marginTop: 10 }}>
{pathResult.path.map((step, index) => (
<div key={`${step}-${index}`} style={pathStepStyle}>{index + 1}. {step}</div>
))}
<div style={{ color: "#79c0ff", fontSize: 12, marginTop: 4 }}>total weight: {pathResult.total_weight.toFixed(3)}</div>
</div>
) : (
<div style={emptyTextStyle}>Choose a target or click a candidate prediction to prepare a path trace.</div>
)}
</section>
<details style={collapseStyle} open={predictions.length > 0}>
<summary style={summaryStyle}>Candidate Links</summary>
<div style={{ padding: "0 14px 14px" }}>
{predictions.length > 0 ? (
<div style={{ display: "flex", flexDirection: "column", gap: 8 }}>
{predictions.map((prediction) => (
<button key={`${prediction.target}-${prediction.type}`} style={predictionCardStyle} onClick={() => onPathTargetChange(prediction.target)}>
<div style={{ color: "#fff", fontWeight: 600 }}>{prediction.label || prediction.target}</div>
<div style={{ color: "#8b949e", fontSize: 12 }}>{prediction.type}</div>
<div style={{ color: "#58a6ff", fontSize: 12, marginTop: 4 }}>confidence {prediction.score.toFixed(3)}</div>
</button>
))}
</div>
) : (
<div style={emptyTextStyle}>Run link prediction to surface likely next-hop relationships.</div>
)}
</div>
</details>
<details style={collapseStyle}>
<summary style={summaryStyle}>Source Attribution</summary>
<div style={{ padding: "0 14px 14px" }}>
{attribution.length ? (
<div style={{ display: "flex", flexDirection: "column", gap: 8 }}>
{attribution.map(({ key, value }) => (
<div key={key} style={propertyCardStyle}>
<div style={{ color: "rgba(88, 166, 255, 0.7)", fontSize: 11, marginBottom: 4 }}>{key}</div>
<div style={{ color: "#e6edf3", fontSize: 13, wordBreak: "break-word" }}>{typeof value === "object" ? JSON.stringify(value) : String(value)}</div>
</div>
))}
</div>
) : (
<div style={emptyTextStyle}>No explicit attribution metadata was found on this node.</div>
)}
</div>
</details>
<details style={collapseStyle}>
<summary style={summaryStyle}>Properties</summary>
<div style={{ padding: "0 14px 14px" }}>
{propertyEntries.length ? (
<div style={{ display: "flex", flexDirection: "column", gap: 8 }}>
{propertyEntries.map(([key, value]) => (
<div key={key} style={propertyCardStyle}>
<div style={{ color: "rgba(88, 166, 255, 0.7)", fontSize: 11, marginBottom: 4 }}>{key}</div>
<div style={{ color: "#e6edf3", fontSize: 13, wordBreak: "break-word" }}>{typeof value === "object" ? JSON.stringify(value) : String(value)}</div>
</div>
))}
</div>
) : (
<div style={emptyTextStyle}>No additional properties are attached to this node.</div>
)}
</div>
</details>
</aside>
);
}
export function GraphWorkspaceShell() {
const [selectedNodeId, setSelectedNodeId] = useState("");
const [selectedNodeState, setSelectedNodeState] = useState<GraphSelectedNodeState | null>(null);
const [isLayoutRunning, setIsLayoutRunning] = useState(false);
const [viewMode, setViewMode] = useState<GraphViewMode>("full");
const [searchQuery, setSearchQuery] = useState("");
const [searchResults, setSearchResults] = useState<SearchResult[]>([]);
const [searchError, setSearchError] = useState("");
const [predictionType, setPredictionType] = useState("");
const [predictions, setPredictions] = useState<LinkPrediction[]>([]);
const [pathTargetId, setPathTargetId] = useState("");
const [pathResult, setPathResult] = useState<PathResponse | null>(null);
const [activeNodeCount, setActiveNodeCount] = useState<number | null>(null);
const [temporalBounds, setTemporalBounds] = useState<TemporalBounds | null>(null);
const [scrubberTime, setScrubberTime] = useState<Date | null>(null);
const [loadingProgress, setLoadingProgress] = useState<GraphLoadProgress | null>(null);
const [isGraphStageReady, setIsGraphStageReady] = useState(false);
const [layoutStatus, setLayoutStatus] = useState<GraphLayoutStatus>({
state: "idle",
source: "runtime",
hasCoordinates: false,
layoutReady: false,
displacement: null,
elapsedMs: 0,
stableSamples: 0,
});
const debouncedTime = useDebounce(scrubberTime, 150);
const stageRef = useRef<GraphStageHandle>(null);
const reload = useReloadGraphData();
const { data: snapshot, isLoading, isFetching, isError, error } = useGraphData({ enabled: true, onProgress: setLoadingProgress });
const handleSelectedNodeStateChange = useCallback((state: GraphSelectedNodeState | null) => {
setSelectedNodeState(state);
}, []);
const handleLayoutRunningChange = useCallback((running: boolean) => {
setIsLayoutRunning(running);
}, []);
const handleActiveNodeCountChange = useCallback((count: number | null) => {
setActiveNodeCount(count);
}, []);
const handleProgressChange = useCallback((progress: GraphLoadProgress | null) => {
setLoadingProgress(progress);
}, []);
const handleRuntimeReady = useCallback(() => {
setIsGraphStageReady(true);
}, []);
const handleLayoutStatusChange = useCallback((status: GraphLayoutStatus) => {
setLayoutStatus(status);
if (status.layoutReady) {
setLoadingProgress(null);
}
}, []);
useEffect(() => {
if (snapshot) {
setIsGraphStageReady(false);
setActiveNodeCount(null);
setLayoutStatus({
state: snapshot.summary.layoutReady ? "interactive" : "idle",
source: snapshot.summary.layoutSource ?? "runtime",
hasCoordinates: snapshot.summary.hasCoordinates ?? false,
layoutReady: snapshot.summary.layoutReady ?? false,
displacement: null,
elapsedMs: 0,
stableSamples: 0,
});
}
}, [snapshot?.fetchedAt]);
useEffect(() => {
let cancelled = false;
const loadBounds = async () => {
try {
const response = await fetch("/api/temporal/bounds");
if (!response.ok || cancelled) return;
const data: TemporalBounds = await response.json();
if (!cancelled) setTemporalBounds(data);
} catch {
if (!cancelled) setTemporalBounds(null);
}
};
void loadBounds();
return () => {
cancelled = true;
};
}, [snapshot?.summary.nodeCount, snapshot?.summary.edgeCount]);
const neighborCountMap = useMemo(() => {
const map = new Map<string, number>();
if (!snapshot) return map;
for (const node of snapshot.nodes) map.set(node.id, 0);
for (const edge of snapshot.edges) {
map.set(edge.source, (map.get(edge.source) ?? 0) + 1);
map.set(edge.target, (map.get(edge.target) ?? 0) + 1);
}
return map;
}, [snapshot]);
const visibleSelectedNode = useMemo(() => {
if (!selectedNodeId) return null;
if (selectedNodeState?.id === selectedNodeId) return selectedNodeState;
const snapshotNode = snapshot?.nodes.find((candidate) => candidate.id === selectedNodeId);
if (snapshotNode) return toSelectedNodeState(snapshotNode, neighborCountMap.get(snapshotNode.id) ?? 0);
const searchNode = searchResults.find((candidate) => candidate.node.id === selectedNodeId)?.node;
return searchNode
? {
id: searchNode.id,
label: searchNode.content || searchNode.id,
content: searchNode.content || searchNode.id,
nodeType: searchNode.type,
color: "#58a6ff",
valid_from: null,
valid_until: null,
properties: searchNode.properties ?? {},
neighborCount: 0,
}
: null;
}, [neighborCountMap, searchResults, selectedNodeId, selectedNodeState, snapshot]);
const focusNode = useCallback((nodeId: string) => {
setSelectedNodeId(nodeId);
setPathResult(null);
if (!nodeId) {
setSelectedNodeState(null);
setPredictions([]);
return;
}
setSearchResults([]);
setIsLayoutRunning(false);
}, []);
const handleSearch = useCallback(async () => {
if (!searchQuery.trim()) {
setSearchResults([]);
return;
}
setSearchError("");
try {
const response = await fetch("/api/graph/search", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ query: searchQuery, limit: 8 }),
});
if (!response.ok) {
throw new Error(`Search failed with status ${response.status}`);
}
const data = await response.json();
setSearchResults(data.results || []);
if (data.results?.length) {
focusNode(data.results[0].node.id);
}
} catch (searchFetchError) {
setSearchError(searchFetchError instanceof Error ? searchFetchError.message : "Search failed");
}
}, [focusNode, searchQuery]);
const handleRunPredictions = useCallback(async () => {
if (!selectedNodeId) return;
try {
const response = await fetch("/api/enrich/links", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
node_id: selectedNodeId,
top_n: 6,
candidate_type: predictionType || undefined,
min_score: 0,
}),
});
if (!response.ok) {
throw new Error(`Link prediction failed with status ${response.status}`);
}
const data = await response.json();
setPredictions(data.predictions || []);
} catch (predictionError) {
console.error("[GraphWorkspaceShell] prediction failed", predictionError);
setPredictions([]);
}
}, [predictionType, selectedNodeId]);
const handleTracePath = useCallback(async () => {
if (!selectedNodeId || !pathTargetId.trim()) return;
try {
const response = await fetch(
`/api/graph/node/${encodeURIComponent(selectedNodeId)}/path?target=${encodeURIComponent(pathTargetId.trim())}&algorithm=dijkstra`,
);
if (!response.ok) {
throw new Error(`Path lookup failed with status ${response.status}`);
}
const data: PathResponse = await response.json();
setPathResult(data);
if (data.path?.length) {
const lastStep = data.path[data.path.length - 1];
stageRef.current?.focusNode(lastStep);
}
} catch (pathError) {
console.error("[GraphWorkspaceShell] path trace failed", pathError);
setPathResult(null);
}
}, [pathTargetId, selectedNodeId]);
const handleDownloadProvenance = useCallback(async (format: "json" | "markdown") => {
if (!selectedNodeId) return;
const suffix = format === "markdown" ? "markdown" : "json";
const response = await fetch(`/api/provenance/report?node_id=${encodeURIComponent(selectedNodeId)}&format=${suffix}`);
if (!response.ok) {
throw new Error(`Provenance report failed with status ${response.status}`);
}
const blob = await response.blob();
const url = window.URL.createObjectURL(blob);
const anchor = document.createElement("a");
anchor.href = url;
anchor.download = `${selectedNodeId}_provenance.${format === "markdown" ? "md" : "json"}`;
document.body.appendChild(anchor);
anchor.click();
window.URL.revokeObjectURL(url);
document.body.removeChild(anchor);
}, [selectedNodeId]);
const searchSummary = useMemo(() => {
if (!searchResults.length) return null;
return `${searchResults.length} search result${searchResults.length === 1 ? "" : "s"}`;
}, [searchResults.length]);
const focusedSummary = useMemo(() => {
if (!visibleSelectedNode) return null;
if (viewMode === "focused") {
const visibleNeighbors = Math.min(visibleSelectedNode.neighborCount, 16);
return `${visibleNeighbors + 1} nodes in focused view`;
}
return `${visibleSelectedNode.neighborCount} direct neighbors highlighted`;
}, [viewMode, visibleSelectedNode]);
const showLoadingOverlay =
isLoading
|| isFetching
|| !isGraphStageReady
|| (layoutStatus.source === "runtime" && !layoutStatus.layoutReady && !selectedNodeId && viewMode === "full");
const layoutStatusLabel = useMemo(() => {
if (layoutStatus.source === "provided" && layoutStatus.layoutReady) return "Persisted layout";
if (layoutStatus.source === "carried" && layoutStatus.layoutReady) return "Preserved layout";
if (layoutStatus.state === "bootstrapping") return "Bootstrapping layout";
if (layoutStatus.state === "running") return "Stabilizing layout";
if (layoutStatus.state === "failed") return "Layout timeout fallback";
return null;
}, [layoutStatus]);
return (
<div className="palantir-bg" style={{ position: "relative", width: "100%", height: "100%", overflow: "hidden", display: "flex", flexDirection: "column" }}>
<style>{HUD_CSS}</style>
<div className="palantir-grid" />
<div className="palantir-vignette" />
<div style={{ flex: 1, position: "relative", zIndex: 3, minHeight: 0 }}>
<Suspense fallback={null}>
<GraphRuntimeStage
ref={stageRef}
snapshot={snapshot}
selectedNodeId={selectedNodeId}
activePath={pathResult?.path ?? []}
onNodeSelect={focusNode}
onSelectedNodeStateChange={handleSelectedNodeStateChange}
isLayoutRunning={isLayoutRunning}
onLayoutRunningChange={handleLayoutRunningChange}
viewMode={viewMode}
temporalTime={debouncedTime}
onActiveNodeCountChange={handleActiveNodeCountChange}
onProgressChange={handleProgressChange}
onLayoutStatusChange={handleLayoutStatusChange}
onRuntimeReady={handleRuntimeReady}
/>
</Suspense>
<GraphLoadingOverlay
progress={loadingProgress}
visible={showLoadingOverlay}
showGraphBehind={Boolean(loadingProgress?.showGraphBehind || isGraphStageReady)}
/>
</div>
<Suspense fallback={<TimelineFallback min={temporalBounds?.min ?? null} max={temporalBounds?.max ?? null} />}>
<TimelinePanel
onTimeChange={setScrubberTime}
minDate={temporalBounds?.min ?? undefined}
maxDate={temporalBounds?.max ?? undefined}
/>
</Suspense>
<div style={{ position: "absolute", inset: 0, pointerEvents: "none", zIndex: 10 }}>
<div className="graph-shell-top">
<section className="graph-status-card">
<div className="graph-status-label">Graph Studio</div>
<div className="graph-status-title">{visibleSelectedNode ? visibleSelectedNode.label : "Knowledge Explorer"}</div>
<div className="graph-status-metrics">
{showLoadingOverlay && loadingProgress ? <span style={{ ...metricPillStyle, color: "#a9ddff" }}>{getGraphLoadTitle(loadingProgress.phase)}</span> : null}
{layoutStatusLabel ? <span style={{ ...metricPillStyle, color: "#a9ddff" }}>{layoutStatusLabel}</span> : null}
{snapshot ? <span style={metricPillStyle}>{snapshot.summary.nodeCount.toLocaleString()} nodes · {snapshot.summary.edgeCount.toLocaleString()} edges</span> : null}
{activeNodeCount !== null ? <span style={{ ...metricPillStyle, color: "#4fd49c", borderColor: "rgba(79, 212, 156, 0.22)" }}>{activeNodeCount.toLocaleString()} active</span> : null}
{searchSummary ? <span style={metricPillStyle}>{searchSummary}</span> : null}
{focusedSummary ? <span style={{ ...metricPillStyle, color: "#f2b66d", borderColor: "rgba(242, 182, 109, 0.24)" }}>{focusedSummary}</span> : null}
{isError ? <span style={{ ...metricPillStyle, color: "#ff8f85", borderColor: "rgba(255, 123, 114, 0.22)" }}>{(error as Error).message}</span> : null}
</div>
</section>
<section className="graph-command-card">
<div className="graph-command-row">
<div className="graph-toggle-cluster">
{selectedNodeId ? (
<>
<button onClick={() => setViewMode("focused")} style={{ ...actionButtonStyle, background: viewMode === "focused" ? "rgba(31, 111, 235, 0.38)" : actionButtonStyle.background, borderColor: viewMode === "focused" ? "rgba(127, 208, 255, 0.42)" : "rgba(88, 166, 255, 0.2)" }}>Focused View</button>
<button onClick={() => setViewMode("full")} style={{ ...actionButtonStyle, background: viewMode === "full" ? "rgba(31, 111, 235, 0.38)" : actionButtonStyle.background, borderColor: viewMode === "full" ? "rgba(127, 208, 255, 0.42)" : "rgba(88, 166, 255, 0.2)" }}>Full Graph</button>
</>
) : (
<span style={{ color: "#7f95b3", fontSize: 12 }}>Select a node to switch graph views</span>
)}
</div>
<div className="graph-action-cluster">
<button onClick={() => setIsLayoutRunning((value) => !value)} style={secondaryActionButtonStyle} disabled={isLoading || isFetching}>
{isLayoutRunning ? "Pause Layout" : "Run Layout"}
</button>
<button onClick={() => { setIsGraphStageReady(false); reload(); }} style={secondaryActionButtonStyle} disabled={isLoading || isFetching}>
Reload
</button>
</div>
</div>
<div className="graph-command-row">
<div className="graph-search-shell">
<input
value={searchQuery}
onChange={(event) => setSearchQuery(event.target.value)}
onKeyDown={(event) => {
if (event.key === "Enter") {
void handleSearch();
}
}}
placeholder="Search a node, e.g. Metformin"
style={{ ...inputStyle, minWidth: 260 }}
disabled={showLoadingOverlay && !selectedNodeId}
/>
<button onClick={() => void handleSearch()} style={actionButtonStyle} disabled={showLoadingOverlay && !selectedNodeId}>Search</button>
</div>
</div>
</section>
</div>
{searchError ? <div style={{ position: "absolute", top: 144, right: 34, color: "#ff7b72", fontSize: 12, pointerEvents: "auto" }}>{searchError}</div> : null}
{searchResults.length ? (
<div className="graph-search-results hud-scrollbar">
<div className="graph-search-results-label">Search Results</div>
<div style={{ display: "flex", flexDirection: "column", gap: 8 }}>
{searchResults.map((result) => (
<button key={result.node.id} className="graph-search-result-card" onClick={() => focusNode(result.node.id)}>
<div style={{ color: "#fff", fontWeight: 700 }}>{result.node.content || result.node.id}</div>
<div style={{ color: "#8b949e", fontSize: 12 }}>{result.node.type}</div>
<div style={{ color: "#58a6ff", fontSize: 12, marginTop: 4 }}>score {result.score.toFixed(3)}</div>
</button>
))}
</div>
</div>
) : null}
<div className="graph-inspector hud-scrollbar" data-open={selectedNodeId ? "true" : "false"}>
<NodePanel
node={visibleSelectedNode}
predictions={predictions}
predictionType={predictionType}
onPredictionTypeChange={setPredictionType}
onRunPredictions={() => void handleRunPredictions()}
pathTargetId={pathTargetId}
onPathTargetChange={setPathTargetId}
onTracePath={() => void handleTracePath()}
pathResult={pathResult}
onDownloadProvenance={(format) => void handleDownloadProvenance(format)}
/>
</div>
</div>
</div>
);
}
const metricPillStyle: CSSProperties = {
background: "rgba(88, 166, 255, 0.08)",
color: "#8ed3ff",
padding: "6px 11px",
borderRadius: 999,
fontSize: 12,
fontWeight: 700,
border: "1px solid rgba(88, 166, 255, 0.14)",
};
const sectionStyle: CSSProperties = {
display: "flex",
flexDirection: "column",
gap: 10,
padding: 14,
background: "linear-gradient(180deg, rgba(255,255,255,0.025), rgba(255,255,255,0.01))",
border: "1px solid rgba(255, 255, 255, 0.06)",
borderRadius: 16,
};
const sectionTitleStyle: CSSProperties = {
color: "#8fa8c6",
fontSize: 11,
fontWeight: 800,
textTransform: "uppercase",
letterSpacing: "0.08em",
};
const inputStyle: CSSProperties = {
width: "100%",
background: "rgba(0, 0, 0, 0.24)",
border: "1px solid rgba(88, 166, 255, 0.14)",
color: "#fff",
borderRadius: 12,
padding: "10px 12px",
fontSize: 13,
};
const actionButtonStyle: CSSProperties = {
background: "linear-gradient(180deg, rgba(53, 130, 245, 0.28), rgba(25, 88, 185, 0.18))",
color: "#fff",
border: "1px solid rgba(88, 166, 255, 0.2)",
borderRadius: 12,
padding: "10px 13px",
cursor: "pointer",
fontWeight: 700,
fontSize: 12,
display: "inline-flex",
alignItems: "center",
justifyContent: "center",
boxShadow: "inset 0 1px 0 rgba(255,255,255,0.05)",
};
const secondaryActionButtonStyle: CSSProperties = {
...actionButtonStyle,
background: "rgba(255, 255, 255, 0.035)",
border: "1px solid rgba(255, 255, 255, 0.06)",
color: "#d6e5f8",
fontWeight: 500,
};
const predictionCardStyle: CSSProperties = {
textAlign: "left",
padding: 12,
background: "rgba(88, 166, 255, 0.06)",
border: "1px solid rgba(88, 166, 255, 0.1)",
borderRadius: 14,
cursor: "pointer",
};
const pathStepStyle: CSSProperties = {
color: "#e6edf3",
fontSize: 13,
padding: "8px 10px",
background: "rgba(255, 255, 255, 0.03)",
borderRadius: 8,
};
const propertyCardStyle: CSSProperties = {
background: "rgba(0, 0, 0, 0.18)",
padding: "10px 12px",
borderRadius: 12,
border: "1px solid rgba(255, 255, 255, 0.05)",
};
const emptyTextStyle: CSSProperties = {
color: "#8b949e",
fontSize: 12,
lineHeight: 1.5,
};
const subtleChipStyle: CSSProperties = {
background: "rgba(255, 255, 255, 0.035)",
color: "#9fb6d2",
padding: "5px 9px",
borderRadius: 999,
fontSize: 11,
border: "1px solid rgba(255, 255, 255, 0.06)",
};
const collapseStyle: CSSProperties = {
border: "1px solid rgba(255, 255, 255, 0.05)",
borderRadius: 14,
background: "rgba(0, 0, 0, 0.14)",
overflow: "hidden",
};
const summaryStyle: CSSProperties = {
cursor: "pointer",
listStyle: "none",
padding: "12px 14px",
color: "#c6d4e3",
fontSize: 12,
fontWeight: 700,
letterSpacing: "0.04em",
textTransform: "uppercase",
};