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nextcloud-mcp-server/nextcloud_mcp_server/auth/static/vector-viz.js
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Chris Coutinho c126c3ec03 fix: Preserve 3D plot camera and improve documentation
This commit addresses PR feedback and fixes plot camera behavior.

## JavaScript Fix - Camera Preservation
- Changed plot update strategy from recreating layout to using Plotly.restyle()
- Query point visibility now toggles via restyle() which only modifies trace visibility
- Camera position/zoom naturally preserved since layout remains untouched
- Resolves jumpy plot behavior when toggling "Show Query Point" checkbox

Related: nextcloud_mcp_server/auth/static/vector-viz.js:58-73

## Documentation Improvements
- Condensed vector-sync-ui.md from 316 to 94 lines (~70% reduction)
- Removed redundant FAQ section (content merged into main sections)
- Simplified use cases from 4 detailed sections to 3 focused paragraphs
- Streamlined troubleshooting to 3 common issues
- Merged technical details into overview section
- Retained all essential information while improving readability

## Screenshot Updates
Removed old/outdated images (5 files):
- rag-workflow-bidirectional-final.png
- rag-workflow-prominent-llm.png
- rag-workflow-simple-final.png
- vector-viz-interface.png
- welcome-page.png

Replaced with current screenshots (3 files):
- vector-viz-document-types-2col.png - Now shows plot + results
- vector-viz-chunk-context.png - Centered content view
- vector-viz-results.png - Updated results list

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-19 14:10:53 +01:00

227 lines
8.3 KiB
JavaScript

// Initialize vizApp for vector visualization
function vizApp() {
return {
query: '',
algorithm: 'bm25_hybrid',
fusion: 'rrf',
showAdvanced: false,
showQueryPoint: true,
docTypes: [''],
limit: 50,
scoreThreshold: 0.0,
loading: false,
results: [],
coordinates: null,
queryCoords: null,
expandedChunks: {},
chunkLoading: {},
async executeSearch() {
this.loading = true;
this.results = [];
try {
const params = new URLSearchParams({
query: this.query,
algorithm: this.algorithm,
limit: this.limit,
score_threshold: this.scoreThreshold,
});
if (this.algorithm === 'bm25_hybrid') {
params.append('fusion', this.fusion);
}
const selectedTypes = this.docTypes.filter(t => t !== '');
if (selectedTypes.length > 0) {
params.append('doc_types', selectedTypes.join(','));
}
const response = await fetch(`/app/vector-viz/search?${params}`);
const data = await response.json();
if (data.success) {
this.results = data.results;
this.coordinates = data.coordinates_3d;
this.queryCoords = data.query_coords;
this.renderPlot(this.coordinates, this.queryCoords, this.results);
} else {
alert('Search failed: ' + data.error);
}
} catch (error) {
alert('Error: ' + error.message);
} finally {
this.loading = false;
}
},
updatePlot() {
// Toggle query point visibility without recreating the plot
// This preserves camera position naturally since layout is untouched
if (this.coordinates && this.queryCoords && this.results.length > 0) {
const plotDiv = document.getElementById('viz-plot');
// If plot exists, just toggle the query trace visibility
if (plotDiv && plotDiv.data && plotDiv.data.length >= 2) {
// Trace index 1 is the query point
Plotly.restyle('viz-plot', { visible: this.showQueryPoint }, [1]);
} else {
// Plot doesn't exist yet, render it
this.renderPlot(this.coordinates, this.queryCoords, this.results);
}
}
},
renderPlot(coordinates, queryCoords, results) {
const scores = results.map(r => r.score);
// Trace 1: Document results (always visible)
const documentTrace = {
x: coordinates.map(c => c[0]),
y: coordinates.map(c => c[1]),
z: coordinates.map(c => c[2]),
mode: 'markers',
type: 'scatter3d',
name: 'Documents',
visible: true,
customdata: results.map((r, i) => ({
title: r.title,
raw_score: r.original_score,
relative_score: r.score,
x: coordinates[i][0],
y: coordinates[i][1],
z: coordinates[i][2]
})),
hovertemplate:
'<b>%{customdata.title}</b><br>' +
'Raw Score: %{customdata.raw_score:.3f} (%{customdata.relative_score:.0%} relative)<br>' +
'(x=%{customdata.x}, y=%{customdata.y}, z=%{customdata.z})' +
'<extra></extra>',
marker: {
size: results.map(r => 4 + (Math.pow(r.score, 2) * 10)),
opacity: results.map(r => 0.3 + (r.score * 0.7)),
color: scores,
colorscale: 'Viridis',
showscale: true,
colorbar: { title: 'Relative Score' },
cmin: 0,
cmax: 1
}
};
// Trace 2: Query point (visibility controlled by toggle)
const queryTrace = {
x: [queryCoords[0]],
y: [queryCoords[1]],
z: [queryCoords[2]],
mode: 'markers',
type: 'scatter3d',
name: 'Query',
visible: this.showQueryPoint, // Initial visibility from state
hovertemplate:
'<b>Search Query</b><br>' +
`(x=${queryCoords[0]}, y=${queryCoords[1]}, z=${queryCoords[2]})` +
'<extra></extra>',
marker: {
size: 10,
color: '#ef5350', // Subdued red (Material Design Red 400)
line: {
color: '#c62828', // Darker red border (Material Design Red 800)
width: 1
}
}
};
const layout = {
title: `Vector Space (PCA 3D) - ${results.length} results`,
scene: {
xaxis: { title: 'PC1' },
yaxis: { title: 'PC2' },
zaxis: { title: 'PC3' },
camera: {
eye: { x: 1.5, y: 1.5, z: 1.5 }
}
},
hovermode: 'closest',
autosize: true, // Enable auto-sizing to fit container
showlegend: true,
margin: { l: 0, r: 0, t: 40, b: 0 } // Minimize margins for full width
};
// Always render both traces - visibility is controlled by the visible property
const traces = [documentTrace, queryTrace];
// Enable responsive resizing
const config = {
responsive: true,
displayModeBar: true
};
// Use newPlot() for initial render - camera position will be preserved
// by subsequent Plotly.restyle() calls in updatePlot()
Plotly.newPlot('viz-plot', traces, layout, config);
},
getNextcloudUrl(result) {
// Use global NEXTCLOUD_BASE_URL if set, otherwise construct from window location
const baseUrl = window.NEXTCLOUD_BASE_URL || '';
switch (result.doc_type) {
case 'note':
return `${baseUrl}/apps/notes/note/${result.id}`;
case 'file':
return `${baseUrl}/apps/files/?fileId=${result.id}`;
case 'calendar':
return `${baseUrl}/apps/calendar`;
case 'contact':
return `${baseUrl}/apps/contacts`;
case 'deck':
return `${baseUrl}/apps/deck`;
default:
return `${baseUrl}`;
}
},
hasChunkPosition(result) {
return result.chunk_start_offset != null && result.chunk_end_offset != null;
},
isChunkExpanded(resultKey) {
return this.expandedChunks[resultKey] !== undefined;
},
async toggleChunk(result) {
const resultKey = `${result.doc_type}_${result.id}`;
if (this.isChunkExpanded(resultKey)) {
delete this.expandedChunks[resultKey];
return;
}
this.chunkLoading[resultKey] = true;
try {
const params = new URLSearchParams({
doc_type: result.doc_type,
doc_id: result.id,
start: result.chunk_start_offset,
end: result.chunk_end_offset,
context: 500
});
const response = await fetch(`/app/chunk-context?${params}`);
const data = await response.json();
if (data.success) {
this.expandedChunks[resultKey] = data;
} else {
alert('Failed to load chunk: ' + data.error);
}
} catch (error) {
alert('Error loading chunk: ' + error.message);
} finally {
delete this.chunkLoading[resultKey];
}
}
};
}