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21 Commits

Author SHA1 Message Date
Chris Coutinho 050b4d2eeb Update plotly cdn to cloudflare 2025-11-26 21:50:39 +01:00
Chris Coutinho 0f24bdb17a docs: Add svg 2025-11-19 23:44:23 +01:00
github-actions[bot] bf11f16e2f bump: version 0.43.0 → 0.44.0 2025-11-19 22:43:03 +00:00
Chris Coutinho bf05ff8d6e Merge pull request #329 from cbcoutinho/feature/nextcloud-ui-improvements
feat: Redesign UI and improve vector visualization
2025-11-19 23:42:32 +01:00
Chris Coutinho c4ce28f05d fix: Improve 3D plot rendering with explicit dimensions and window resize support
- Get container dimensions before creating Plotly layout to render at correct size immediately
- Add init() method with window resize listener for responsive plot sizing
- Remove post-render resize call (no longer needed with explicit dimensions)
- Improve colorbar positioning and scene domain configuration

This eliminates the visual "jump" during initial render and ensures the plot resizes smoothly when the browser window changes size.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-19 19:43:20 +01:00
Chris Coutinho 9b2a06964b Merge pull request #331 from cbcoutinho/renovate/commitizen-tools-commitizen-action-0.x
chore(deps): update commitizen-tools/commitizen-action action to v0.26.0
2025-11-19 14:42:06 +01:00
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Removed old/outdated images (5 files):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
Chris Coutinho 9bd02d7ef7 fix: Preserve 3D plot camera position and fix CSS loading
Two fixes for the vector visualization page:

1. **CSS Loading Fix**: Moved CSS <link> from vector_viz.html fragment
   to user_info.html <head> block. HTMX fragments don't process <link>
   tags in <head>, causing unstyled page. Now CSS loads correctly.

2. **Camera Preservation**: Modified renderPlot() to preserve camera
   position when toggling query point visibility. Previously, toggling
   the "Show Query Point" checkbox would reset zoom/rotation to default.
   Now reads existing camera settings from plot before updating.

Related: nextcloud_mcp_server/auth/static/vector-viz.js:123-130
Related: nextcloud_mcp_server/auth/templates/user_info.html:12

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-19 13:51:08 +01:00
renovate-bot-cbcoutinho[bot] e38a830f02 chore(deps): update commitizen-tools/commitizen-action action to v0.26.0 2025-11-19 11:07:37 +00:00
Chris Coutinho 18b753c3c7 Merge pull request #330 from cbcoutinho/renovate/docker.io-library-nextcloud-32.0.1
chore(deps): update docker.io/library/nextcloud:32.0.1 docker digest to d572839
2025-11-19 09:57:27 +01:00
renovate-bot-cbcoutinho[bot] b0735bae85 chore(deps): update docker.io/library/nextcloud:32.0.1 docker digest to d572839 2025-11-19 05:08:00 +00:00
Chris Coutinho 53689d076b feat: Improve vector visualization with static assets and fixes
- Extract CSS and JavaScript into separate static files
  - Created nextcloud_mcp_server/auth/static/vector-viz.css
  - Created nextcloud_mcp_server/auth/static/vector-viz.js
  - Updated templates to reference external assets

- Fix vector visualization issues:
  - Normalize vectors before PCA to match Qdrant's cosine distance
  - Add zero-norm and NaN detection/handling for large datasets
  - Enable responsive Plotly sizing (autosize + responsive config)
  - Widen plot area to full viewport width with minimized margins

- Improve visualization accuracy:
  - Query point now positioned correctly relative to documents
  - Handles 200+ points without JSON serialization errors
  - Full-width plot maximizes screen space utilization

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-19 04:10:44 +01:00
Chris Coutinho 0f7d6c0e33 Merge pull request #327 from cbcoutinho/renovate/docker.io-library-python-3.12-slim-trixie
chore(deps): update docker.io/library/python:3.12-slim-trixie docker digest to 2e683fc
2025-11-19 01:53:05 +01:00
Chris Coutinho 16701fdb72 Merge pull request #328 from cbcoutinho/renovate/docker.io-library-redis-alpine
chore(deps): update docker.io/library/redis:alpine docker digest to 5013e94
2025-11-19 01:52:57 +01:00
Chris Coutinho 9db20a4d01 feat: Redesign UI to match Nextcloud ecosystem aesthetic
This commit updates the web interface to better align with Nextcloud's
design system and improve the Vector Viz layout.

Changes:
- Replace emoji icons with Material Design SVG icons for better
  consistency with Nextcloud apps
- Simplify navigation styling with minimal padding and subtle active
  states (250px width)
- Update CSS variables to match Nextcloud design system
- Restructure Vector Viz from two-column to single-column vertical
  layout for better plot visibility
- Move search controls to compact horizontal grid at top
- Make navigation toggle always visible (not just on mobile)
- Fix plot container sizing with overflow:visible to prevent colorbar
  clipping
- Remove heavy shadows and custom card styling for cleaner aesthetic
- Add error and success page templates with consistent styling

Technical details:
- Preserve Alpine.js for reactive functionality
- Use CSS Grid for responsive horizontal controls layout
- Add smooth transitions for navigation collapse/expand
- Maintain HTMX for dynamic content loading

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-19 00:45:19 +01:00
renovate-bot-cbcoutinho[bot] 7ddf8370e6 chore(deps): update docker.io/library/redis:alpine docker digest to 5013e94 2025-11-18 23:10:41 +00:00
renovate-bot-cbcoutinho[bot] 98dff98e9c chore(deps): update docker.io/library/python:3.12-slim-trixie docker digest to 2e683fc 2025-11-18 23:10:36 +00:00
Chris Coutinho 73e8012707 Merge pull request #325 from cbcoutinho/renovate/docker.io-library-python-3.12-slim-trixie
chore(deps): update docker.io/library/python:3.12-slim-trixie docker digest to 2bbc83f
2025-11-18 14:06:14 +01:00
Chris Coutinho c2fd87a5d3 Merge pull request #324 from cbcoutinho/renovate/docker.io-library-nextcloud-32.0.1
chore(deps): update docker.io/library/nextcloud:32.0.1 docker digest to f6232ea
2025-11-18 14:03:38 +01:00
renovate-bot-cbcoutinho[bot] 3642faf32c chore(deps): update docker.io/library/python:3.12-slim-trixie docker digest to 2bbc83f 2025-11-18 11:08:08 +00:00
renovate-bot-cbcoutinho[bot] 3b1cd96722 chore(deps): update docker.io/library/nextcloud:32.0.1 docker digest to f6232ea 2025-11-18 11:08:03 +00:00
31 changed files with 2490 additions and 875 deletions
+1
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@@ -6,3 +6,4 @@
!nextcloud_mcp_server/**/*.py
!nextcloud_mcp_server/**/*.html
!nextcloud_mcp_server/auth/static/*
+1 -1
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@@ -20,7 +20,7 @@ jobs:
fetch-depth: 0
token: "${{ secrets.PERSONAL_ACCESS_TOKEN }}"
- name: Create bump and changelog
uses: commitizen-tools/commitizen-action@9615e7be1cf341393c52e865ebbdaa0712176d81 # 0.25.0
uses: commitizen-tools/commitizen-action@bb4f1df6601e2a1a891506581b0c53acdc88e07d # 0.26.0
with:
github_token: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
changelog_increment_filename: body.md
+13
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@@ -1,3 +1,16 @@
## v0.44.0 (2025-11-19)
### Feat
- Improve vector visualization with static assets and fixes
- Redesign UI to match Nextcloud ecosystem aesthetic
### Fix
- Improve 3D plot rendering with explicit dimensions and window resize support
- Preserve 3D plot camera and improve documentation
- Preserve 3D plot camera position and fix CSS loading
## v0.43.0 (2025-11-18)
### Feat
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@@ -1,4 +1,4 @@
FROM docker.io/library/python:3.12-slim-trixie@sha256:d86b4c74b936c438cd4cc3a9f7256b9a7c27ad68c7caf8c205e18d9845af0164
FROM docker.io/library/python:3.12-slim-trixie@sha256:2e683fc3e18a248aa23b8022f2a3474b072b04fb851efe9b49f6b516a8944939
COPY --from=ghcr.io/astral-sh/uv:0.9.10@sha256:29bd45092ea8902c0bbb7f0a338f0494a382b1f4b18355df5be270ade679ff1d /uv /uvx /bin/
+11
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@@ -1,3 +1,7 @@
<p align="center">
<img src="astrolabe.svg" alt="Nextcloud MCP Server" width="128" height="128">
</p>
# Nextcloud MCP Server
[![Docker Image](https://img.shields.io/badge/docker-ghcr.io/cbcoutinho/nextcloud--mcp--server-blue)](https://github.com/cbcoutinho/nextcloud-mcp-server/pkgs/container/nextcloud-mcp-server)
@@ -29,6 +33,12 @@ docker run -p 127.0.0.1:8000:8000 --env-file .env --rm \
# 3. Test the connection
curl http://127.0.0.1:8000/health/ready
# 4. Connect to the endpoint
http://127.0.0.1:8000/sse
# 4. Or with --transport streamable-http
http://127.0.0.1:8000/mcp
```
**Next Steps:**
@@ -123,6 +133,7 @@ This enables natural language queries and helps discover related content across
- **[App Documentation](docs/)** - Notes, Calendar, Contacts, WebDAV, Deck, Cookbook, Tables
- **[Document Processing](docs/configuration.md#document-processing)** - OCR and text extraction setup
- **[Semantic Search Architecture](docs/semantic-search-architecture.md)** - Experimental vector search (Notes only, opt-in)
- **[Vector Sync UI Guide](docs/user-guide/vector-sync-ui.md)** - Browser interface for semantic search visualization and testing
### Advanced Topics
- **[OAuth Architecture](docs/oauth-architecture.md)** - How OAuth works (experimental)
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@@ -2,8 +2,8 @@ apiVersion: v2
name: nextcloud-mcp-server
description: A Helm chart for Nextcloud MCP Server - enables AI assistants to interact with Nextcloud
type: application
version: 0.43.0
appVersion: "0.43.0"
version: 0.44.0
appVersion: "0.44.0"
keywords:
- nextcloud
- mcp
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@@ -17,11 +17,11 @@ services:
# Note: Redis is an external service. You can find more information about the configuration here:
# https://hub.docker.com/_/redis
redis:
image: docker.io/library/redis:alpine@sha256:28c9c4d7596949a24b183eaaab6455f8e5d55ecbf72d02ff5e2c17fe72671d31
image: docker.io/library/redis:alpine@sha256:5013e94192ef18a5d8368179c7522e5300f9265cc339cadac76c7b93303a2752
restart: always
app:
image: docker.io/library/nextcloud:32.0.1@sha256:5b043f7ea2f609d5ff5635f475c30d303bec17775a5c3f7fa435e3818e669120
image: docker.io/library/nextcloud:32.0.1@sha256:d572839eeb693026d72a0c6aa48076df0bb8930797ea321e604936ef7189d06e
restart: always
ports:
- 0.0.0.0:8080:80
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# Vector Sync UI Guide
This guide covers the browser-based interface for the Nextcloud MCP Server's semantic search and vector synchronization features.
## Overview
The Vector Sync UI (`/app`) provides an interactive interface to test semantic search queries and visualize results from your Nextcloud documents. It exposes the same retrieval capabilities that LLMs use in Retrieval-Augmented Generation (RAG) workflows, powered by Alpine.js for reactive state, htmx for dynamic updates, and Plotly.js for 3D visualization.
**Supported Apps**: Notes, Files (text/PDF), Calendar (events/tasks), Contacts (CardDAV), and Deck are indexed and searchable.
## Accessing the UI
Navigate to `/app` after authentication:
- **BasicAuth mode**: `http://localhost:8000/app` (uses credentials from environment)
- **OAuth mode**: `http://localhost:8000/app` (redirects to login if not authenticated)
## Tabs
### Welcome Page
Landing page that introduces semantic search and RAG workflows. Shows authentication status, explains how vector embeddings work, and provides feature navigation. Adapts content based on whether `VECTOR_SYNC_ENABLED=true`.
### User Info
Displays authentication details and session information:
- **BasicAuth**: Username, mode badge, Nextcloud host
- **OAuth**: Username, session ID (truncated), background access status, IdP profile, revocation option
### Vector Sync Status
Real-time monitoring of document indexing:
- **Indexed Documents**: Total chunks stored in Qdrant vector database (immediately searchable)
- **Pending Documents**: Queue awaiting embedding processing
- **Status**: "✓ Idle" (green) when up-to-date, "⟳ Syncing" (orange) during processing
Auto-refreshes every 10 seconds via htmx. Check this tab after adding content to verify indexing completion.
### Vector Visualization
Interactive search interface with 3D PCA plot of semantic space.
**Search Controls**:
- **Query**: Natural language search (e.g., "health benefits of coffee")
- **Algorithm**: Semantic (Dense) for pure vector search, or BM25 Hybrid (default) combining vectors + keywords
- **Fusion** (Hybrid only): RRF (Reciprocal Rank Fusion) or DBSF (Distribution-Based Score Fusion)
- **Advanced**: Filter by document type, adjust score threshold (0.0-1.0), set result limit (max 100)
**3D Visualization**:
The plot uses Principal Component Analysis (PCA) to reduce 768-dimensional embeddings to 3D. Documents are positioned by semantic similarity with the query point shown in red. Point size and opacity indicate relevance, and the Viridis color scale shows relative scores (yellow = highest match).
**Critical Fix**: Vectors are L2-normalized before PCA to match Qdrant's cosine distance, ensuring query points position accurately near similar documents. Without normalization, magnitude differences cause misleading spatial separation.
**Results List**:
Each result shows document title (clickable link to Nextcloud), excerpt, raw score, relative percentage, and document type. Click "Show Chunk" to view the matched text segment with surrounding context (up to 500 characters before/after).
## Configuration
**Required**:
```bash
VECTOR_SYNC_ENABLED=true
```
**Optional** (for browser-accessible links):
```bash
NEXTCLOUD_PUBLIC_ISSUER_URL=https://your-public-nextcloud-url.com
```
**Admin Access**: Webhooks tab only visible to Nextcloud admins (verified via Provisioning API).
## Use Cases
**Testing Search Queries**: Preview results before they reach LLMs in RAG workflows. Compare semantic vs. hybrid algorithms, verify relevance scores, and validate that correct documents are retrieved. Use chunk context to see exactly which text segments match and why unexpected documents appear.
**Monitoring Indexing**: Track real-time progress after creating or modifying documents. Check if the queue is backing up (high pending count) or confirm the system is idle after bulk imports. Verify documents become searchable immediately after indexing completes.
**Algorithm Comparison**: Pure semantic search excels at conceptual queries and synonyms. BM25 hybrid combines semantic understanding with precise keyword matching for better accuracy on specific terms. Experiment with RRF vs. DBSF fusion for different score distributions.
## Troubleshooting
**Vector Sync Tab Not Visible**: Set `VECTOR_SYNC_ENABLED=true` and restart the server.
**No Search Results**: Check Vector Sync Status to confirm documents are indexed (not just pending). Try broader queries or lower the score threshold in Advanced options. Initial indexing may take time depending on document volume.
**Links to Nextcloud Apps Not Working**: Set `NEXTCLOUD_PUBLIC_ISSUER_URL` to your browser-accessible Nextcloud URL for correct link generation.
## Related Documentation
- [Configuration Guide](../configuration.md) - Environment variables and settings
- [Authentication Modes](../authentication.md) - BasicAuth vs OAuth setup
- [Installation Guide](../installation.md) - Getting started
- [ADR-008: MCP Sampling for RAG](../ADR-008-mcp-sampling-for-rag.md) - Technical details on RAG workflows
+10 -1
View File
@@ -24,6 +24,7 @@ from starlette.middleware.authentication import AuthenticationMiddleware
from starlette.middleware.cors import CORSMiddleware
from starlette.responses import JSONResponse, RedirectResponse
from starlette.routing import Mount, Route
from starlette.staticfiles import StaticFiles
from nextcloud_mcp_server.auth import (
InsufficientScopeError,
@@ -1491,7 +1492,7 @@ def get_app(transport: str = "sse", enabled_apps: list[str] | None = None):
# Create a separate Starlette app for browser routes that need session auth
# This prevents SessionAuthBackend from interfering with FastMCP's OAuth
browser_routes = [
Route("/", user_info_html, methods=["GET"]), # /app → webapp (HTML UI)
Route("/", user_info_html, methods=["GET"]), # /app → user info with all tabs
Route(
"/revoke", revoke_session, methods=["POST"], name="revoke_session_endpoint"
), # /app/revoke → revoke_session
@@ -1527,6 +1528,14 @@ def get_app(transport: str = "sse", enabled_apps: list[str] | None = None):
),
]
# Add static files mount if directory exists
static_dir = os.path.join(os.path.dirname(__file__), "auth", "static")
if os.path.isdir(static_dir):
browser_routes.append(
Mount("/static", StaticFiles(directory=static_dir), name="static")
)
logger.info(f"Mounted static files from {static_dir}")
browser_app = Starlette(routes=browser_routes)
browser_app.add_middleware(
AuthenticationMiddleware, # type: ignore[invalid-argument-type]
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After

Width:  |  Height:  |  Size: 18 KiB

@@ -0,0 +1,192 @@
.viz-layout {
display: flex;
flex-direction: column;
gap: 16px;
height: 100%;
min-height: 0;
overflow-y: auto;
}
.viz-card {
background: var(--color-main-background);
border-radius: 0;
padding: 16px;
box-shadow: none;
}
.viz-controls-card {
flex: 0 0 auto;
border-bottom: 1px solid var(--color-border);
padding-bottom: 16px;
}
.viz-controls-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 12px;
align-items: end;
}
@media (min-width: 768px) {
.viz-controls-grid {
grid-template-columns: 2fr 1.5fr 1.5fr auto auto;
}
}
.viz-control-group {
display: flex;
flex-direction: column;
gap: 4px;
}
.viz-control-group label {
font-weight: 500;
color: var(--color-main-text);
font-size: 13px;
}
.viz-control-group input[type="text"],
.viz-control-group input[type="number"],
.viz-control-group select {
width: 100%;
padding: 7px 10px;
border: 1px solid var(--color-border-dark);
border-radius: var(--border-radius);
font-size: 14px;
background: var(--color-main-background);
color: var(--color-main-text);
}
.viz-control-group input:focus,
.viz-control-group select:focus {
outline: none;
border-color: var(--color-primary-element);
}
.viz-control-group input[type="range"] {
width: 100%;
}
.viz-control-group select[multiple] {
min-height: 100px;
}
.viz-weight-display {
display: inline-block;
min-width: 40px;
text-align: right;
color: #666;
}
.viz-btn {
background: var(--color-primary-element);
color: white;
border: none;
padding: 7px 16px;
border-radius: var(--border-radius);
cursor: pointer;
font-size: 14px;
font-weight: 500;
white-space: nowrap;
}
.viz-btn:hover {
background: #0052a3;
}
.viz-btn-secondary {
background: #6c757d;
color: white;
border: none;
padding: 7px 16px;
border-radius: var(--border-radius);
cursor: pointer;
font-size: 14px;
white-space: nowrap;
}
.viz-btn-secondary:hover {
background: #5a6268;
}
.viz-card-plot {
flex: 0 0 auto;
display: flex;
flex-direction: column;
min-height: 500px;
height: 600px;
/* Remove horizontal padding to extend to full viewport width */
padding-left: 0;
padding-right: 0;
margin-left: -16px;
margin-right: -16px;
}
#viz-plot-container {
width: 100%;
height: 100%;
position: relative;
overflow: visible;
}
#viz-plot {
width: 100%;
height: 100%;
}
.viz-loading {
text-align: center;
padding: 40px;
color: #666;
}
.viz-loading-overlay {
position: absolute;
inset: 0;
display: flex;
align-items: center;
justify-content: center;
background: white;
color: #666;
}
.viz-no-results {
text-align: center;
padding: 40px;
color: #666;
font-style: italic;
}
.viz-advanced-section {
margin-top: 12px;
padding: 12px;
background: var(--color-background-hover);
border-radius: var(--border-radius);
border: 1px solid var(--color-border);
}
.viz-info-box {
background: var(--color-primary-element-light);
border-left: 3px solid var(--color-primary-element);
padding: 10px 12px;
margin-bottom: 16px;
font-size: 13px;
color: var(--color-main-text);
}
.chunk-toggle-btn {
background: #6c757d;
color: white;
border: none;
padding: 4px 10px;
border-radius: 3px;
cursor: pointer;
font-size: 12px;
margin-top: 6px;
}
.chunk-toggle-btn:hover {
background: #5a6268;
}
.chunk-context {
background: var(--color-background-hover);
border: 1px solid var(--color-border);
border-radius: var(--border-radius);
padding: 12px;
margin-top: 8px;
font-family: 'SFMono-Regular', 'Consolas', 'Liberation Mono', 'Menlo', monospace;
font-size: 13px;
line-height: 1.6;
white-space: pre-wrap;
word-wrap: break-word;
}
.chunk-text {
color: var(--color-text-maxcontrast);
}
.chunk-matched {
background: #fff3cd;
border: 1px solid #ffc107;
padding: 2px 4px;
border-radius: var(--border-radius);
font-weight: 500;
color: var(--color-main-text);
}
.chunk-ellipsis {
color: var(--color-text-maxcontrast);
font-style: italic;
}
@@ -0,0 +1,253 @@
// 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: {},
init() {
// Set up window resize listener to resize plot
window.addEventListener('resize', () => {
if (this.coordinates && this.results.length > 0) {
Plotly.Plots.resize('viz-plot');
}
});
},
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) {
// Get container dimensions before creating layout
const container = document.getElementById('viz-plot-container');
const width = container.clientWidth;
const height = container.clientHeight;
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',
x: 1.02,
xanchor: 'left',
thickness: 20,
len: 0.8
},
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) - ${results.length} results`,
width: width, // Explicit width from container
height: height, // Explicit height from container
scene: {
xaxis: { title: 'PC1' },
yaxis: { title: 'PC2' },
zaxis: { title: 'PC3' },
camera: {
eye: { x: 1.5, y: 1.5, z: 1.5 }
},
// Full width for 3D scene
domain: {
x: [0, 1],
y: [0, 1]
}
},
hovermode: 'closest',
autosize: true, // Enable auto-sizing for window resizes
showlegend: false, // Hide legend
margin: { l: 0, r: 100, t: 40, b: 0 } // Right margin for colorbar
};
// Always render both traces - visibility is controlled by the visible property
const traces = [documentTrace, queryTrace];
// Enable responsive resizing
const config = {
responsive: true,
displayModeBar: true
};
// Use newPlot() with explicit dimensions - renders at correct size immediately
// Camera position will be preserved by subsequent Plotly.restyle() calls in updatePlot()
Plotly.newPlot('viz-plot', traces, layout, config);
},
getNextcloudUrl(result) {
// Use global NEXTCLOUD_BASE_URL if set, otherwise construct from window location
const baseUrl = window.NEXTCLOUD_BASE_URL || '';
switch (result.doc_type) {
case 'note':
return `${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];
}
}
};
}
@@ -0,0 +1,524 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1">
<meta name="apple-mobile-web-app-capable" content="yes">
<meta name="theme-color" content="#0082c9">
<title>{% block title %}Nextcloud MCP Server{% endblock %}</title>
<!-- Favicon -->
<link rel="icon" type="image/svg+xml" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' width='32' height='32' viewBox='0 0 512 512'><rect width='512' height='512' rx='80' ry='80' fill='%230082C9'/><path d='M255.9 21.04c-11.8 0-22.2 4.08-28.6 10.01-5.6 4.98-8.6 11.41-8.6 18.11 0 5.55 2.2 11.01 5.9 15.48-16.4 4.97-30.1 13.64-39 24.53 22.1-7.67 45.7-11.86 70.3-11.86 24.6 0 48.3 4.19 70.3 11.86-8.9-10.89-22.6-19.56-39-24.53 3.9-4.47 5.9-9.93 5.9-15.48 0-6.7-3-13.13-8.5-18.11-6.4-5.93-16.9-10.01-28.7-10.01zm0 20.34c5.3 0 10.1 1.27 13.6 3.52 1.7 1.16 3.4 2.43 3.4 4.27 0 1.76-1.7 3.03-3.4 4.19-3.5 2.33-8.3 3.61-13.6 3.61-5.3 0-10.1-1.28-13.6-3.61-1.6-1.16-3.3-2.43-3.3-4.19 0-1.84 1.7-3.11 3.3-4.27 3.5-2.25 8.3-3.52 13.6-3.52zm.1 48.1c-110.8 0-200.72 90.02-200.72 200.82S145.2 491 256 491s200.7-89.9 200.7-200.7c0-110.8-89.9-200.82-200.7-200.82zm0 32.62c92.9 0 168.2 75.3 168.2 168.2 0 92.8-75.3 168.2-168.2 168.2-92.9 0-168.26-75.4-168.26-168.2 0-92.9 75.36-168.2 168.26-168.2zm-8.2 6.3c-9.6.5-19 1.9-28.3 4.1l2.3 7.8c8.4-2 17.1-3.3 26-3.8v-8.1zm16.2 0v8.1c9 .5 17.7 1.8 26 3.8l2.2-7.8c-9.1-2.2-18.6-3.6-28.2-4.1zm-60 8.5c-9 3.2-17.6 7-25.8 11.6l4.1 7.1c7.7-4.3 15.6-7.9 23.9-10.8l-2.2-7.9zm103.7 0-2 7.9c8.4 2.9 16.2 6.5 23.8 10.8l4.2-7.1c-8.2-4.6-16.9-8.4-26-11.6zm-143.3 20.3c-7.5 5.4-14.6 11.4-21.1 17.9l5.8 5.8c5.9-6.1 12.5-11.7 19.5-16.6l-4.2-7.1zm182.9 0-4 7.1c6.9 4.9 13.5 10.5 19.5 16.6l5.7-5.8c-6.5-6.5-13.7-12.5-21.2-17.9zm-91.4 11.5c-37 0-67.4 28.6-70.3 64.9l15.9 4.7c.7-29.6 24.7-53.4 54.4-53.4 30.1 0 54.4 24.4 54.4 54.3 0 15-6.2 28.7-16 38.5l.1.1c1.7 2.7 3 5.6 4.1 8.6.9 3 1.7 5.7 2.3 8.6v.4c33.8-16.7 57.2-51.5 57.2-91.7 0-3.8-.2-7.3-.6-10.9-3.2-3.3-6.3-6.4-9.8-9.5 1.5 6.5 2.3 13.4 2.3 20.4 0 28.7-13 54.7-33.5 71.8 6.3-10.6 10.1-23 10.1-36.3 0-38.9-31.7-70.5-70.6-70.5zm-91.8 14.6c-3.3 3.1-6.5 6.2-9.7 9.5-.3 3.6-.5 7.1-.5 10.9 0 7.3.7 14.2 2.1 20.9l9.1 2.7c-2.1-7.5-3.1-15.4-3.1-23.6 0-7 .7-13.9 2.1-20.4zm-31.6 4c-5.8 7.1-10.9 14.6-15.4 22.6l7.1 4c4.1-7.4 8.8-14.3 14-20.8l-5.7-5.8zm246.8 0-5.7 5.8c5.3 6.5 10 13.4 13.9 20.8l7.1-4c-4.4-8-9.5-15.5-15.3-22.6zm-269.2 37.1c-2.5 5.7-4.6 11.4-6.4 17.6l.1-.3c3.4-5 7.9-9.3 12.9-12.5l.3-.6-6.9-4.2zm291.8 0-7.2 4.2c3.2 7.3 5.7 15.1 7.6 23.1l7.9-2.1c-2.1-8.8-4.9-17.3-8.3-25.2zm-261.2 11.5c-13.4.1-25.7 9-29.7 22.5l114.8 34.2c-4.9 16.7 4.6 34.2 21.2 39.2L361.7 366c16.6 5 34.1-4.4 39.1-21l-114.6-34.4c4.9-16.5-4.7-34.1-21.3-39.1 0 0-72.4-21.5-114.8-34.3-3.1-.9-6.3-1.4-9.4-1.3zm-42.09 29.7c-.9 6.9-1.4 14-1.4 21.3 0 1.3.1 2.9.1 4.2h8.09v-4.2c0-6.5.4-12.9 1.2-19.2l-7.99-2.1zm314.59 0-7.9 2.1c.7 6.3 1.3 12.7 1.3 19.2 0 1.3 0 2.9-.2 4.2h8.2v-4.2c0-7.3-.5-14.4-1.4-21.3zm-157.3 24.7c6.3 0 11.5 5 11.5 11.3 0 6.4-5.2 11.6-11.5 11.6s-11.5-5.2-11.5-11.6c0-6.3 5.2-11.3 11.5-11.3zM98.51 307.4c1 8.2 2.89 16.4 5.09 24.3l7.9-2.1c-2.1-7.2-3.8-14.6-4.8-22.2h-8.19zm306.69 0c-1.1 7.6-2.7 15-4.8 22.2l7.8 2.1c2.2-7.9 4.1-16.1 5.2-24.3h-8.2zm-191.3 10.9c-19 13.3-31.4 35.3-31.4 60.1 0 10.4 2.3 20.4 6.2 29.7 8.8 4.9 17.9 8.8 27.6 11.7-10.8-10.7-17.5-25.2-17.5-41.4 0-19 9.3-36 23.7-46.3-3.8-4.1-6.7-8.7-8.6-13.8zM116.8 345l-7.9 2c3.1 7.6 6.8 14.7 11 21.6l6.9-4.2c-3.8-6.2-7-12.8-10-19.4zm194.8 20.5c.9 4.1 1.4 8.5 1.4 12.9 0 16.2-6.7 30.7-17.4 41.4 9.6-2.9 18.8-6.8 27.5-11.7 4-9.3 6.2-19.3 6.2-29.7 0-2.7-.2-5.2-.4-7.7l-17.3-5.2zM136 377.9l-7.1 4.1c4.7 6.2 9.7 12.1 15.3 17.3l5.7-5.5c-5.1-5-9.7-10.3-13.9-15.9zm243.9 2.3-.2.1c-2.1.3-4 .6-6.2.7h-.1c-3.6 4.5-7.3 8.8-11.5 12.8l5.8 5.5c5.5-5.2 10.5-11.1 15.2-17.3l-3-1.8zm-217.8 24-5.9 5.9c6 4.8 12.2 9.7 18.8 13.6l3.8-7.8c-5.7-2.9-11.4-6.8-16.7-11.7zm187.7 0c-5.4 4.9-11.1 8.8-16.8 11.7l3.9 7.8c6.5-3.9 12.8-8.8 18.7-13.6l-5.8-5.9zm-156.4 19.5-4.1 6.8c6.6 4 13.7 5.8 20.7 8.8l2.2-7.9c-6.5-1.9-12.7-4.8-18.8-7.7zm125.2 0c-6.2 2.9-12.5 5.8-19.1 7.7l2.3 7.9c7.2-3 14-4.8 20.7-8.8l-3.9-6.8zm-90.7 11.7-2 7.8c7.1 1 14.5 1.9 21.9 1.9v-7.7c-6.8 0-13.5-1.1-19.9-2zm55.9 0c-6.3.9-13 2-19.8 2v7.7c7.5 0 14.8-.9 22.1-1.9l-2.3-7.8z' fill='%23fff'/></svg>">
<!-- Open Sans font -->
<style>
@font-face {
font-family: 'Open Sans';
font-style: normal;
font-weight: normal;
src: local('Open Sans'), local('OpenSans');
}
@font-face {
font-family: 'Open Sans';
font-style: normal;
font-weight: bold;
src: local('Open Sans Semibold'), local('OpenSans-Semibold');
}
</style>
{% block extra_head %}{% endblock %}
<style>
/* Nextcloud App Design System */
/* CSS Variables */
:root {
/* Primary Colors */
--color-primary: #00679e;
--color-primary-element: #00679e;
--color-primary-light: #e5eff5;
--color-primary-element-light: #e5eff5;
/* Background Colors */
--color-main-background: #ffffff;
--color-background-dark: #ededed;
--color-background-hover: #f5f5f5;
/* Text Colors */
--color-main-text: #222222;
--color-text-maxcontrast: #6b6b6b;
--color-text-light: #767676;
/* Border Colors */
--color-border: #ededed;
--color-border-dark: #dbdbdb;
/* Borders & Radius */
--border-radius: 3px;
--border-radius-large: 10px;
--border-radius-pill: 100px;
/* Spacing */
--default-grid-baseline: 4px;
--default-clickable-area: 44px;
}
/* SVG Icon Styles */
.nav-icon {
width: 20px;
height: 20px;
display: inline-block;
fill: var(--color-main-text);
opacity: 0.7;
}
.app-navigation-entry.active .nav-icon {
fill: var(--color-primary-element);
opacity: 1;
}
/* General */
* {
box-sizing: border-box;
}
body {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
color: var(--color-main-text);
background: var(--color-main-background);
margin: 0;
padding: 0;
}
h1, h2, h3 {
font-weight: 300;
line-height: 1.2;
}
h1 {
font-size: 32px;
margin: 0 0 20px 0;
color: var(--color-main-text);
}
h2 {
font-size: 20px;
margin: 20px 0 12px 0;
color: var(--color-main-text);
border-bottom: 1px solid var(--color-border);
padding-bottom: 8px;
}
h3 {
font-size: 16px;
margin: 16px 0 8px 0;
color: var(--color-main-text);
font-weight: 500;
}
img {
max-width: 100%;
}
/* App Header (simplified, no full menu) */
.app-header {
height: 50px;
background: var(--color-primary-element);
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
position: sticky;
top: 0;
z-index: 100;
display: flex;
align-items: center;
padding: 0 20px;
}
.app-header__brand {
color: white;
font-size: 18px;
font-weight: 600;
text-decoration: none;
display: flex;
align-items: center;
gap: 12px;
}
.app-header__brand:hover {
opacity: 0.9;
}
.app-header__logo {
height: 32px;
width: 32px;
fill: white;
}
/* App Layout */
.app-content-wrapper {
display: flex;
height: calc(100vh - 50px);
overflow: hidden;
}
/* Side Navigation */
#app-navigation {
width: 250px;
background: var(--color-main-background);
border-right: 1px solid var(--color-border);
display: flex;
flex-direction: column;
flex-shrink: 0;
transition: margin-left 0.3s ease;
}
#app-navigation.app-navigation--closed {
margin-left: -250px;
}
.app-navigation__content {
flex: 1;
overflow-y: auto;
padding: 8px;
display: flex;
flex-direction: column;
}
.app-navigation-list {
list-style: none;
padding: 0;
margin: 0;
flex: 1;
}
.app-navigation-entry {
position: relative;
margin-bottom: 2px;
}
.app-navigation-entry__wrapper {
display: flex;
align-items: center;
position: relative;
}
.app-navigation-entry-link {
display: flex;
align-items: center;
padding: 0 8px;
min-height: var(--default-clickable-area);
border-radius: var(--border-radius);
transition: background-color 100ms ease-in-out;
text-decoration: none;
color: var(--color-main-text);
flex: 1;
font-size: 14px;
}
.app-navigation-entry-link:hover {
background-color: var(--color-background-hover);
}
.app-navigation-entry.active .app-navigation-entry-link {
background-color: var(--color-primary-element-light);
font-weight: 500;
}
.app-navigation-entry-icon {
width: var(--default-clickable-area);
height: var(--default-clickable-area);
display: flex;
align-items: center;
justify-content: center;
margin-right: 0;
}
.app-navigation-entry__name {
flex: 1;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
.app-navigation-entry__counter {
margin-left: auto;
padding: 2px 6px;
border-radius: var(--border-radius-pill);
background-color: var(--color-background-dark);
font-size: 11px;
color: var(--color-text-maxcontrast);
min-width: 20px;
text-align: center;
}
.app-navigation__settings {
list-style: none;
padding: 8px 0 0 0;
margin: 8px 0 0 0;
border-top: 1px solid var(--color-border);
flex-shrink: 0;
}
.app-navigation-toggle {
display: flex;
align-items: center;
justify-content: center;
position: fixed;
top: 60px;
left: 10px;
z-index: 110;
background: var(--color-main-background);
border: 1px solid var(--color-border);
border-radius: var(--border-radius);
padding: 8px 12px;
cursor: pointer;
box-shadow: 0 0 5px rgba(0,0,0,0.1);
transition: left 0.3s ease;
}
.app-navigation-toggle:hover {
background: var(--color-background-hover);
}
#app-navigation:not(.app-navigation--closed) ~ * .app-navigation-toggle {
left: 260px;
}
/* Main Content Area */
#app-content {
flex: 1;
overflow-y: auto;
background: var(--color-main-background);
}
.page-content {
max-width: 1000px;
margin: 0 auto;
padding: 24px;
}
.content-section {
background: var(--color-main-background);
border-radius: 0;
padding: 0;
box-shadow: none;
}
.content-section h1 {
font-size: 24px;
font-weight: 600;
margin-bottom: 24px;
}
.content-section h2 {
font-size: 18px;
font-weight: 500;
margin: 24px 0 12px 0;
border-bottom: none;
padding-bottom: 0;
}
.content-section h3 {
font-size: 16px;
font-weight: 500;
}
/* Responsive */
@media (max-width: 768px) {
#app-navigation {
position: fixed;
height: calc(100vh - 50px);
z-index: 105;
box-shadow: 2px 0 8px rgba(0,0,0,0.1);
}
.page-content {
padding: 16px;
}
}
/* Footer */
footer.page-footer {
background-color: #0F0833;
color: #ffffff;
padding: 40px 0;
margin-top: 60px;
}
footer.page-footer .bootstrap-container {
max-width: 1200px;
margin: 0 auto;
padding: 0 20px;
}
footer.page-footer h1 {
font-size: 15px;
font-weight: bold;
line-height: 1.8;
color: #ffffff;
margin-top: 20px;
}
footer.page-footer ul {
list-style-type: none;
padding-left: 0;
}
footer.page-footer li {
font-size: 13px;
line-height: 1.8;
color: #ffffff;
margin-top: 0;
}
footer.page-footer li a {
color: #ffffff;
text-decoration: none;
display: block;
padding: 4px 0;
}
footer.page-footer li a:hover {
text-decoration: underline;
}
footer.page-footer p {
font-size: 15px;
line-height: 1.8;
color: #ffffff;
}
footer.page-footer p.copyright {
color: rgba(255, 255, 255, 0.5);
font-size: 13px;
text-align: center;
margin-top: 30px;
}
/* Buttons */
.btn {
border-radius: 50px;
padding: 10px 20px;
text-decoration: none;
display: inline-block;
cursor: pointer;
border: none;
font-size: 14px;
transition: all 0.3s;
}
.btn-primary {
background: #0082C9;
border: 1px solid #0062C9;
color: #fff;
}
.btn-primary:hover {
background: #006ba3;
}
/* Tables */
table {
width: 100%;
border-collapse: collapse;
margin: 20px 0;
}
td {
padding: 12px 8px;
border-bottom: 1px solid var(--color-border);
font-size: 14px;
}
td:first-child {
width: 180px;
color: var(--color-text-maxcontrast);
font-weight: 500;
}
code {
background-color: var(--color-background-dark);
padding: 2px 6px;
border-radius: var(--border-radius);
font-family: 'SFMono-Regular', 'Consolas', 'Liberation Mono', 'Menlo', monospace;
font-size: 90%;
color: var(--color-main-text);
}
/* Badges */
.badge {
display: inline-block;
padding: 3px 8px;
border-radius: 12px;
font-size: 12px;
font-weight: bold;
text-transform: uppercase;
}
.badge-oauth {
background-color: #4caf50;
color: white;
}
.badge-basic {
background-color: #2196f3;
color: white;
}
/* Messages */
.warning {
background-color: #fff3cd;
border-left: 4px solid #ffc107;
padding: 15px;
margin: 15px 0;
color: #856404;
}
.info-message {
background-color: #e3f2fd;
border-left: 4px solid #2196f3;
padding: 15px;
margin: 15px 0;
color: #1565c0;
}
.error {
background-color: #ffebee;
border-left: 4px solid #d32f2f;
padding: 15px;
margin: 15px 0;
color: #c62828;
}
.success {
background-color: #e8f5e9;
border: 2px solid #4caf50;
padding: 30px;
border-radius: 8px;
text-align: center;
}
.success h1 {
color: #4caf50;
}
{% block extra_styles %}{% endblock %}
</style>
</head>
<body>
<!-- App Header -->
<header class="app-header">
<a href="/app" class="app-header__brand">
<svg class="app-header__logo" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512">
<path d="M255.9 21.04c-11.8 0-22.2 4.08-28.6 10.01-5.6 4.98-8.6 11.41-8.6 18.11 0 5.55 2.2 11.01 5.9 15.48-16.4 4.97-30.1 13.64-39 24.53 22.1-7.67 45.7-11.86 70.3-11.86 24.6 0 48.3 4.19 70.3 11.86-8.9-10.89-22.6-19.56-39-24.53 3.9-4.47 5.9-9.93 5.9-15.48 0-6.7-3-13.13-8.5-18.11-6.4-5.93-16.9-10.01-28.7-10.01zm0 20.34c5.3 0 10.1 1.27 13.6 3.52 1.7 1.16 3.4 2.43 3.4 4.27 0 1.76-1.7 3.03-3.4 4.19-3.5 2.33-8.3 3.61-13.6 3.61-5.3 0-10.1-1.28-13.6-3.61-1.6-1.16-3.3-2.43-3.3-4.19 0-1.84 1.7-3.11 3.3-4.27 3.5-2.25 8.3-3.52 13.6-3.52zm.1 48.1c-110.8 0-200.72 90.02-200.72 200.82S145.2 491 256 491s200.7-89.9 200.7-200.7c0-110.8-89.9-200.82-200.7-200.82zm0 32.62c92.9 0 168.2 75.3 168.2 168.2 0 92.8-75.3 168.2-168.2 168.2-92.9 0-168.26-75.4-168.26-168.2 0-92.9 75.36-168.2 168.26-168.2zm-8.2 6.3c-9.6.5-19 1.9-28.3 4.1l2.3 7.8c8.4-2 17.1-3.3 26-3.8v-8.1zm16.2 0v8.1c9 .5 17.7 1.8 26 3.8l2.2-7.8c-9.1-2.2-18.6-3.6-28.2-4.1zm-60 8.5c-9 3.2-17.6 7-25.8 11.6l4.1 7.1c7.7-4.3 15.6-7.9 23.9-10.8l-2.2-7.9zm103.7 0-2 7.9c8.4 2.9 16.2 6.5 23.8 10.8l4.2-7.1c-8.2-4.6-16.9-8.4-26-11.6zm-143.3 20.3c-7.5 5.4-14.6 11.4-21.1 17.9l5.8 5.8c5.9-6.1 12.5-11.7 19.5-16.6l-4.2-7.1zm182.9 0-4 7.1c6.9 4.9 13.5 10.5 19.5 16.6l5.7-5.8c-6.5-6.5-13.7-12.5-21.2-17.9zm-91.4 11.5c-37 0-67.4 28.6-70.3 64.9l15.9 4.7c.7-29.6 24.7-53.4 54.4-53.4 30.1 0 54.4 24.4 54.4 54.3 0 15-6.2 28.7-16 38.5l.1.1c1.7 2.7 3 5.6 4.1 8.6.9 3 1.7 5.7 2.3 8.6v.4c33.8-16.7 57.2-51.5 57.2-91.7 0-3.8-.2-7.3-.6-10.9-3.2-3.3-6.3-6.4-9.8-9.5 1.5 6.5 2.3 13.4 2.3 20.4 0 28.7-13 54.7-33.5 71.8 6.3-10.6 10.1-23 10.1-36.3 0-38.9-31.7-70.5-70.6-70.5zm-91.8 14.6c-3.3 3.1-6.5 6.2-9.7 9.5-.3 3.6-.5 7.1-.5 10.9 0 7.3.7 14.2 2.1 20.9l9.1 2.7c-2.1-7.5-3.1-15.4-3.1-23.6 0-7 .7-13.9 2.1-20.4zm-31.6 4c-5.8 7.1-10.9 14.6-15.4 22.6l7.1 4c4.1-7.4 8.8-14.3 14-20.8l-5.7-5.8zm246.8 0-5.7 5.8c5.3 6.5 10 13.4 13.9 20.8l7.1-4c-4.4-8-9.5-15.5-15.3-22.6zm-269.2 37.1c-2.5 5.7-4.6 11.4-6.4 17.6l.1-.3c3.4-5 7.9-9.3 12.9-12.5l.3-.6-6.9-4.2zm291.8 0-7.2 4.2c3.2 7.3 5.7 15.1 7.6 23.1l7.9-2.1c-2.1-8.8-4.9-17.3-8.3-25.2zm-261.2 11.5c-13.4.1-25.7 9-29.7 22.5l114.8 34.2c-4.9 16.7 4.6 34.2 21.2 39.2L361.7 366c16.6 5 34.1-4.4 39.1-21l-114.6-34.4c4.9-16.5-4.7-34.1-21.3-39.1 0 0-72.4-21.5-114.8-34.3-3.1-.9-6.3-1.4-9.4-1.3zm-42.09 29.7c-.9 6.9-1.4 14-1.4 21.3 0 1.3.1 2.9.1 4.2h8.09v-4.2c0-6.5.4-12.9 1.2-19.2l-7.99-2.1zm314.59 0-7.9 2.1c.7 6.3 1.3 12.7 1.3 19.2 0 1.3 0 2.9-.2 4.2h8.2v-4.2c0-7.3-.5-14.4-1.4-21.3zm-157.3 24.7c6.3 0 11.5 5 11.5 11.3 0 6.4-5.2 11.6-11.5 11.6s-11.5-5.2-11.5-11.6c0-6.3 5.2-11.3 11.5-11.3zM98.51 307.4c1 8.2 2.89 16.4 5.09 24.3l7.9-2.1c-2.1-7.2-3.8-14.6-4.8-22.2h-8.19zm306.69 0c-1.1 7.6-2.7 15-4.8 22.2l7.8 2.1c2.2-7.9 4.1-16.1 5.2-24.3h-8.2zm-191.3 10.9c-19 13.3-31.4 35.3-31.4 60.1 0 10.4 2.3 20.4 6.2 29.7 8.8 4.9 17.9 8.8 27.6 11.7-10.8-10.7-17.5-25.2-17.5-41.4 0-19 9.3-36 23.7-46.3-3.8-4.1-6.7-8.7-8.6-13.8zM116.8 345l-7.9 2c3.1 7.6 6.8 14.7 11 21.6l6.9-4.2c-3.8-6.2-7-12.8-10-19.4zm194.8 20.5c.9 4.1 1.4 8.5 1.4 12.9 0 16.2-6.7 30.7-17.4 41.4 9.6-2.9 18.8-6.8 27.5-11.7 4-9.3 6.2-19.3 6.2-29.7 0-2.7-.2-5.2-.4-7.7l-17.3-5.2zM136 377.9l-7.1 4.1c4.7 6.2 9.7 12.1 15.3 17.3l5.7-5.5c-5.1-5-9.7-10.3-13.9-15.9zm243.9 2.3-.2.1c-2.1.3-4 .6-6.2.7h-.1c-3.6 4.5-7.3 8.8-11.5 12.8l5.8 5.5c5.5-5.2 10.5-11.1 15.2-17.3l-3-1.8zm-217.8 24-5.9 5.9c6 4.8 12.2 9.7 18.8 13.6l3.8-7.8c-5.7-2.9-11.4-6.8-16.7-11.7zm187.7 0c-5.4 4.9-11.1 8.8-16.8 11.7l3.9 7.8c6.5-3.9 12.8-8.8 18.7-13.6l-5.8-5.9zm-156.4 19.5-4.1 6.8c6.6 4 13.7 5.8 20.7 8.8l2.2-7.9c-6.5-1.9-12.7-4.8-18.8-7.7zm125.2 0c-6.2 2.9-12.5 5.8-19.1 7.7l2.3 7.9c7.2-3 14-4.8 20.7-8.8l-3.9-6.8zm-90.7 11.7-2 7.8c7.1 1 14.5 1.9 21.9 1.9v-7.7c-6.8 0-13.5-1.1-19.9-2zm55.9 0c-6.3.9-13 2-19.8 2v7.7c7.5 0 14.8-.9 22.1-1.9l-2.3-7.8z" fill="#fff"/>
</svg>
<span>Nextcloud MCP Server</span>
</a>
</header>
<!-- App Content Wrapper (Sidebar + Main Content) -->
{% block content %}{% endblock %}
{% block scripts %}{% endblock %}
</body>
</html>
@@ -0,0 +1,19 @@
{% extends "base.html" %}
{% block title %}{{ error_title|default('Error') }} - Nextcloud MCP Server{% endblock %}
{% block content %}
<h1>{{ error_title|default('Error') }}</h1>
<div class="error">
<strong>Error:</strong> {{ error_message }}
</div>
{% if login_url %}
<p><a href="{{ login_url }}" class="btn btn-primary">Login again</a></p>
{% endif %}
{% if back_url %}
<p><a href="{{ back_url }}" class="btn">Go Back</a></p>
{% endif %}
{% endblock %}
@@ -0,0 +1,21 @@
{% extends "base.html" %}
{% block title %}{{ success_title|default('Success') }} - Nextcloud MCP Server{% endblock %}
{% block extra_head %}
{% if redirect_url and redirect_delay %}
<meta http-equiv="refresh" content="{{ redirect_delay }};url={{ redirect_url }}">
{% endif %}
{% endblock %}
{% block content %}
<div class="success">
<h1>{{ success_title|default('✓ Success') }}</h1>
{% for message in success_messages %}
<p>{{ message }}</p>
{% endfor %}
{% if redirect_url %}
<p>Redirecting...</p>
{% endif %}
</div>
{% endblock %}
@@ -0,0 +1,650 @@
{% extends "base.html" %}
{% block title %}Nextcloud MCP Server{% endblock %}
{% block extra_head %}
<!-- htmx for dynamic loading -->
<script src="https://unpkg.com/htmx.org@1.9.10"></script>
<!-- Alpine.js for state management -->
<script defer src="https://cdn.jsdelivr.net/npm/alpinejs@3.x.x/dist/cdn.min.js"></script>
<!-- Plotly.js for vector visualization -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/plotly.js/3.1.1/plotly.min.js"></script>
<!-- Vector Viz static assets -->
<link rel="stylesheet" href="/app/static/vector-viz.css">
{% endblock %}
{% block extra_styles %}
/* Smooth htmx transitions */
.htmx-swapping {
opacity: 0;
transition: opacity 200ms ease-out;
}
.htmx-settling {
opacity: 1;
transition: opacity 200ms ease-in;
}
/* Logout button styling */
.logout-section {
margin-top: 20px;
padding-top: 20px;
border-top: 1px solid var(--color-border);
}
/* Welcome tab specific styles */
.hero-section {
background: linear-gradient(135deg, var(--color-primary-element) 0%, #0082c9 100%);
color: white;
padding: 60px 24px;
margin: -24px -24px 40px -24px;
border-radius: 0 0 var(--border-radius-large) var(--border-radius-large);
text-align: center;
}
.hero-section h1 {
color: white;
font-size: 36px;
margin: 0 0 16px 0;
font-weight: 600;
}
.hero-section p {
font-size: 18px;
opacity: 0.95;
max-width: 700px;
margin: 0 auto;
line-height: 1.6;
}
.feature-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
gap: 24px;
margin: 32px 0;
}
.feature-card {
background: var(--color-main-background);
border: 2px solid var(--color-border);
border-radius: var(--border-radius-large);
padding: 24px;
transition: all 0.2s;
cursor: pointer;
text-decoration: none;
color: inherit;
display: block;
}
.feature-card:hover {
border-color: var(--color-primary-element);
box-shadow: 0 4px 12px rgba(0, 103, 158, 0.15);
transform: translateY(-2px);
}
.feature-card h3 {
color: var(--color-primary-element);
font-size: 20px;
margin: 12px 0 8px 0;
font-weight: 600;
display: flex;
align-items: center;
gap: 12px;
}
.feature-card p {
color: var(--color-text-maxcontrast);
font-size: 14px;
line-height: 1.6;
margin: 8px 0 0 0;
}
.feature-icon {
width: 48px;
height: 48px;
background: var(--color-primary-element-light);
border-radius: var(--border-radius);
display: flex;
align-items: center;
justify-content: center;
margin-bottom: 8px;
}
.feature-icon svg {
width: 28px;
height: 28px;
fill: var(--color-primary-element);
}
.info-section {
background: var(--color-background-hover);
border-radius: var(--border-radius-large);
padding: 32px;
margin: 32px 0;
}
.info-section h2 {
color: var(--color-main-text);
font-size: 24px;
margin: 0 0 16px 0;
border: none;
padding: 0;
}
.info-section p {
color: var(--color-text-maxcontrast);
line-height: 1.7;
margin: 12px 0;
}
.info-section ul {
margin: 12px 0;
padding-left: 24px;
}
.info-section li {
color: var(--color-text-maxcontrast);
line-height: 1.7;
margin: 8px 0;
}
.info-section code {
background: var(--color-main-background);
padding: 2px 8px;
border-radius: var(--border-radius);
font-size: 13px;
}
.auth-status {
background: var(--color-primary-element-light);
border-left: 4px solid var(--color-primary-element);
padding: 16px 20px;
margin: 24px 0;
border-radius: var(--border-radius);
display: flex;
align-items: center;
gap: 12px;
}
.auth-status svg {
width: 24px;
height: 24px;
fill: var(--color-primary-element);
flex-shrink: 0;
}
.auth-status-text {
flex: 1;
}
.auth-status-text strong {
display: block;
color: var(--color-main-text);
font-size: 14px;
margin-bottom: 4px;
}
.auth-status-text span {
color: var(--color-text-maxcontrast);
font-size: 13px;
}
{% endblock %}
{% block content %}
<div class="app-content-wrapper" x-data="{ activeSection: 'welcome', navOpen: true }">
<!-- Side Navigation -->
<nav id="app-navigation" :class="{ 'app-navigation--closed': !navOpen }">
<div class="app-navigation__content">
<!-- Navigation List -->
<ul class="app-navigation-list">
<li class="app-navigation-entry" :class="{ 'active': activeSection === 'welcome' }">
<div class="app-navigation-entry__wrapper">
<a href="#"
@click.prevent="activeSection = 'welcome'"
class="app-navigation-entry-link">
<span class="app-navigation-entry-icon">
<svg class="nav-icon" viewBox="0 0 24 24">
<path d="M10,20V14H14V20H19V12H22L12,3L2,12H5V20H10Z" />
</svg>
</span>
<span class="app-navigation-entry__name">Welcome</span>
</a>
</div>
</li>
<li class="app-navigation-entry" :class="{ 'active': activeSection === 'user-info' }">
<div class="app-navigation-entry__wrapper">
<a href="#"
@click.prevent="activeSection = 'user-info'"
class="app-navigation-entry-link">
<span class="app-navigation-entry-icon">
<svg class="nav-icon" viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
</span>
<span class="app-navigation-entry__name">User Info</span>
</a>
</div>
</li>
{% if show_vector_sync_tab %}
<li class="app-navigation-entry" :class="{ 'active': activeSection === 'vector-sync' }">
<div class="app-navigation-entry__wrapper">
<a href="#"
@click.prevent="activeSection = 'vector-sync'"
class="app-navigation-entry-link">
<span class="app-navigation-entry-icon">
<svg class="nav-icon" viewBox="0 0 24 24">
<path d="M12,18A6,6 0 0,1 6,12C6,11 6.25,10.03 6.7,9.2L5.24,7.74C4.46,8.97 4,10.43 4,12A8,8 0 0,0 12,20V23L16,19L12,15M12,4V1L8,5L12,9V6A6,6 0 0,1 18,12C18,13 17.75,13.97 17.3,14.8L18.76,16.26C19.54,15.03 20,13.57 20,12A8,8 0 0,0 12,4Z" />
</svg>
</span>
<span class="app-navigation-entry__name">Vector Sync</span>
</a>
</div>
</li>
<li class="app-navigation-entry" :class="{ 'active': activeSection === 'vector-viz' }">
<div class="app-navigation-entry__wrapper">
<a href="#"
@click.prevent="activeSection = 'vector-viz'"
class="app-navigation-entry-link">
<span class="app-navigation-entry-icon">
<svg class="nav-icon" viewBox="0 0 24 24">
<path d="M22,21H2V3H4V19H6V10H10V19H12V6H16V19H18V14H22V21Z" />
</svg>
</span>
<span class="app-navigation-entry__name">Vector Viz</span>
</a>
</div>
</li>
{% endif %}
{% if show_webhooks_tab %}
<li class="app-navigation-entry" :class="{ 'active': activeSection === 'webhooks' }">
<div class="app-navigation-entry__wrapper">
<a href="#"
@click.prevent="activeSection = 'webhooks'"
class="app-navigation-entry-link">
<span class="app-navigation-entry-icon">
<svg class="nav-icon" viewBox="0 0 24 24">
<path d="M10.59,13.41C11,13.8 11,14.44 10.59,14.83C10.2,15.22 9.56,15.22 9.17,14.83C7.22,12.88 7.22,9.71 9.17,7.76V7.76L12.71,4.22C14.66,2.27 17.83,2.27 19.78,4.22C21.73,6.17 21.73,9.34 19.78,11.29L18.29,12.78C18.3,11.96 18.17,11.14 17.89,10.36L18.36,9.88C19.54,8.71 19.54,6.81 18.36,5.64C17.19,4.46 15.29,4.46 14.12,5.64L10.59,9.17C9.41,10.34 9.41,12.24 10.59,13.41M13.41,9.17C13.8,8.78 14.44,8.78 14.83,9.17C16.78,11.12 16.78,14.29 14.83,16.24V16.24L11.29,19.78C9.34,21.73 6.17,21.73 4.22,19.78C2.27,17.83 2.27,14.66 4.22,12.71L5.71,11.22C5.7,12.04 5.83,12.86 6.11,13.65L5.64,14.12C4.46,15.29 4.46,17.19 5.64,18.36C6.81,19.54 8.71,19.54 9.88,18.36L13.41,14.83C14.59,13.66 14.59,11.76 13.41,10.59C13,10.2 13,9.56 13.41,9.17Z" />
</svg>
</span>
<span class="app-navigation-entry__name">Webhooks</span>
</a>
</div>
</li>
{% endif %}
</ul>
<!-- Settings/Logout at bottom -->
{% if logout_url %}
<ul class="app-navigation__settings">
<li class="app-navigation-entry">
<div class="app-navigation-entry__wrapper">
<a href="{{ logout_url }}" class="app-navigation-entry-link">
<span class="app-navigation-entry-icon">
<svg class="nav-icon" viewBox="0 0 24 24">
<path d="M16,17V14H9V10H16V7L21,12L16,17M14,2A2,2 0 0,1 16,4V6H14V4H5V20H14V18H16V20A2,2 0 0,1 14,22H5A2,2 0 0,1 3,20V4A2,2 0 0,1 5,2H14Z" />
</svg>
</span>
<span class="app-navigation-entry__name">Logout</span>
</a>
</div>
</li>
</ul>
{% endif %}
</div>
<!-- Toggle Button (mobile) -->
<button @click="navOpen = !navOpen"
class="app-navigation-toggle"
:aria-expanded="navOpen.toString()">
</button>
</nav>
<!-- Main Content Area -->
<main id="app-content">
<div class="page-content">
<!-- Welcome Section -->
<div x-show="activeSection === 'welcome'">
<!-- Hero Section -->
<div class="hero-section">
<h1>Welcome to Nextcloud MCP Server</h1>
<p>
Interactive user interface for semantic search and document retrieval.
Test queries, visualize results, and explore your Nextcloud content using RAG workflows.
</p>
</div>
<!-- Authentication Status -->
<div class="auth-status">
<svg viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
<div class="auth-status-text">
<strong>Authenticated as: {{ username }}</strong>
<span>Authentication mode: <code>{{ auth_mode }}</code></span>
</div>
</div>
{% if vector_sync_enabled %}
<!-- Vector Sync Enabled Content -->
<div class="info-section">
<h2>About Semantic Search</h2>
<p>
This interface provides access to <strong>semantic search</strong> capabilities powered by vector embeddings.
Unlike traditional keyword search, semantic search understands the <em>meaning</em> of your queries and finds
conceptually similar content across your Nextcloud apps.
</p>
<p>
<strong>How it works:</strong>
</p>
<ul>
<li>Documents from Notes, Calendar, Files, Contacts, and Deck are indexed into a vector database</li>
<li>Each document chunk is converted to a 768-dimensional vector embedding that captures semantic meaning</li>
<li>Queries are also converted to embeddings and matched against document vectors using similarity search</li>
<li>Results can be retrieved using pure semantic search or hybrid BM25 search combining keywords and semantics</li>
</ul>
</div>
<div class="info-section">
<h2>RAG Workflow Integration</h2>
<p>
This UI allows you to <strong>test the same queries that Large Language Models (LLMs) would use</strong> in a
Retrieval-Augmented Generation (RAG) workflow. When an AI assistant needs to answer questions about your data:
</p>
<ul>
<li><strong>Step 1:</strong> The assistant converts your question into a search query</li>
<li><strong>Step 2:</strong> The MCP server retrieves relevant document chunks using semantic search</li>
<li><strong>Step 3:</strong> Retrieved context is passed to the LLM to generate an informed answer</li>
</ul>
<!-- RAG Workflow Diagram -->
<div style="background: var(--color-main-background); border: 2px solid var(--color-primary-element); border-radius: var(--border-radius-large); padding: 24px; margin: 24px 0; overflow-x: auto;">
<div style="text-align: center; font-weight: 600; margin-bottom: 20px; color: var(--color-primary-element); font-size: 16px;">
MCP Sampling RAG Workflow
</div>
<!-- Four-component bidirectional flow -->
<div style="max-width: 1000px; margin: 0 auto;">
<div style="display: grid; grid-template-columns: 0.7fr auto 1fr auto 1fr auto 0.9fr; gap: 10px; align-items: center;">
<!-- User -->
<div style="background: var(--color-background-hover); border: 2px solid var(--color-border); border-radius: var(--border-radius-large); padding: 14px; text-align: center;">
<div style="font-size: 26px; margin-bottom: 5px;">👤</div>
<div style="font-weight: 600; color: var(--color-main-text); font-size: 12px;">User</div>
<div style="font-size: 9px; color: var(--color-text-maxcontrast); font-style: italic; margin-top: 5px; line-height: 1.2;">
"What are health<br>benefits of coffee?"
</div>
</div>
<!-- Arrow User <-> Client -->
<div style="text-align: center;">
<div style="font-size: 20px; color: var(--color-text-maxcontrast);"></div>
</div>
<!-- MCP Client + LLM (combined) -->
<div style="background: var(--color-primary-element-light); border: 2px solid var(--color-primary-element); border-radius: var(--border-radius-large); padding: 12px; text-align: center;">
<div style="font-weight: 600; color: var(--color-primary-element); font-size: 13px; margin-bottom: 8px;">MCP Client + LLM</div>
<div style="background: var(--color-main-background); border-radius: var(--border-radius); padding: 8px; margin-bottom: 6px;">
<div style="font-size: 9px; color: var(--color-text-maxcontrast);">(Claude Code)</div>
</div>
<div style="background: var(--color-main-background); border-radius: var(--border-radius); padding: 8px; border: 2px solid var(--color-primary-element);">
<div style="font-size: 16px; margin-bottom: 2px;">🧠</div>
<div style="font-weight: 600; color: var(--color-main-text); font-size: 10px;">Client's LLM</div>
<div style="font-size: 8px; color: var(--color-text-maxcontrast);">(Claude)</div>
</div>
<div style="margin-top: 8px; font-size: 8px; color: var(--color-text-maxcontrast); line-height: 1.2;">
<strong>Enables RAG:</strong><br>
Receives context,<br>
generates answer
</div>
</div>
<!-- Arrow Client <-> Server -->
<div style="text-align: center;">
<div style="font-size: 20px; color: var(--color-primary-element);"></div>
<div style="font-size: 7px; color: var(--color-text-maxcontrast); margin-top: 2px; font-weight: 600; line-height: 1.1;">
Query +<br>
Sampling
</div>
</div>
<!-- MCP Server -->
<div style="background: var(--color-primary-element-light); border: 2px solid var(--color-primary-element); border-radius: var(--border-radius-large); padding: 12px; text-align: center;">
<div style="font-weight: 600; color: var(--color-primary-element); font-size: 13px; margin-bottom: 8px;">MCP Server</div>
<div style="background: var(--color-main-background); border-radius: var(--border-radius); padding: 7px; margin-bottom: 5px;">
<div style="font-weight: 600; color: var(--color-main-text); font-size: 9px; margin-bottom: 2px;">1. Semantic Search</div>
<div style="font-size: 7px; color: var(--color-text-maxcontrast); line-height: 1.2;">
Vector embeddings<br>
BM25 Hybrid + RRF
</div>
</div>
<div style="background: var(--color-main-background); border-radius: var(--border-radius); padding: 7px; margin-bottom: 5px;">
<div style="font-weight: 600; color: var(--color-main-text); font-size: 9px; margin-bottom: 2px;">2. Retrieve Context</div>
<div style="font-size: 7px; color: var(--color-text-maxcontrast); line-height: 1.2;">
Top relevant docs<br>
with scores
</div>
</div>
<div style="background: var(--color-main-background); border-radius: var(--border-radius); padding: 7px; margin-bottom: 5px;">
<div style="font-weight: 600; color: var(--color-main-text); font-size: 9px; margin-bottom: 2px;">3. Format Response</div>
<div style="font-size: 7px; color: var(--color-text-maxcontrast); line-height: 1.2;">
Document chunks<br>
with citations
</div>
</div>
<div style="background: var(--color-main-background); border-radius: var(--border-radius); padding: 7px;">
<div style="font-weight: 600; color: var(--color-main-text); font-size: 9px; margin-bottom: 2px;">4. Send to LLM</div>
<div style="font-size: 7px; color: var(--color-text-maxcontrast); line-height: 1.2;">
Via MCP sampling<br>
for answer generation
</div>
</div>
</div>
<!-- Arrow Server <-> Nextcloud -->
<div style="text-align: center;">
<div style="font-size: 20px; color: var(--color-primary-element);"></div>
<div style="font-size: 7px; color: var(--color-text-maxcontrast); margin-top: 2px; font-weight: 600; line-height: 1.1;">
Retrieve
</div>
</div>
<!-- Nextcloud -->
<div style="background: var(--color-background-hover); border: 2px solid var(--color-border); border-radius: var(--border-radius-large); padding: 12px; text-align: center; position: relative;">
<img src="/app/static/nextcloud-logo.png" alt="Nextcloud" style="width: 40px; height: 40px; margin-bottom: 6px;" />
<div style="font-weight: 600; color: var(--color-main-text); font-size: 12px; margin-bottom: 4px;">Nextcloud</div>
<div style="font-size: 8px; color: var(--color-text-maxcontrast); line-height: 1.2;">
Notes, Calendar,<br>
Files, Contacts,<br>
Deck
</div>
</div>
</div>
<!-- Explanation below diagram -->
<div style="margin-top: 24px; padding: 16px; background: var(--color-background-hover); border-radius: var(--border-radius); border-left: 4px solid var(--color-primary-element);">
<div style="font-size: 12px; color: var(--color-main-text); line-height: 1.6;">
<strong>How RAG works via MCP Sampling:</strong>
</div>
<ol style="margin: 8px 0 0 0; padding-left: 20px; font-size: 11px; color: var(--color-text-maxcontrast); line-height: 1.6;">
<li>User asks question through MCP Client</li>
<li>Client sends query to MCP Server</li>
<li>Server retrieves relevant document context from Nextcloud</li>
<li><strong>Server sends context back to Client's LLM</strong> (MCP Sampling)</li>
<li>Client's LLM generates answer with citations using retrieved context</li>
<li>Answer returned to user</li>
</ol>
<div style="margin-top: 8px; font-size: 10px; color: var(--color-text-maxcontrast); font-style: italic;">
The server has no LLM - it only retrieves context. The client's existing LLM is reused for answer generation.
</div>
</div>
</div>
</div>
<p style="margin-top: 16px;">
<strong>Key Point:</strong> The MCP server retrieves context but doesn't generate answers itself.
Through <strong>MCP sampling</strong>, it requests the client's LLM to generate responses, giving users
full control over which model is used and ensuring all processing happens client-side.
</p>
<p>
By using this interface, you can preview search results, understand relevance scores, and verify
that the system retrieves the right information before it reaches the LLM.
</p>
</div>
<!-- Feature Cards -->
<h2>Available Features</h2>
<div class="feature-grid">
<a href="#" @click.prevent="activeSection = 'user-info'" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
</div>
<h3>User Information</h3>
<p>
View your authentication details, session information, and IdP profile.
Manage background access permissions.
</p>
</a>
<a href="#" @click.prevent="activeSection = 'vector-sync'" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M12,18A6,6 0 0,1 6,12C6,11 6.25,10.03 6.7,9.2L5.24,7.74C4.46,8.97 4,10.43 4,12A8,8 0 0,0 12,20V23L16,19L12,15M12,4V1L8,5L12,9V6A6,6 0 0,1 18,12C18,13 17.75,13.97 17.3,14.8L18.76,16.26C19.54,15.03 20,13.57 20,12A8,8 0 0,0 12,4Z" />
</svg>
</div>
<h3>Vector Sync Status</h3>
<p>
Monitor real-time indexing progress with metrics for indexed documents, pending queue,
and synchronization status.
</p>
</a>
<a href="#" @click.prevent="activeSection = 'vector-viz'" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M22,21H2V3H4V19H6V10H10V19H12V6H16V19H18V14H22V21Z" />
</svg>
</div>
<h3>Vector Visualization</h3>
<p>
Interactive search interface with 2D PCA visualization. Compare algorithms,
view relevance scores, and explore matched document chunks.
</p>
</a>
</div>
{% else %}
<!-- Vector Sync Disabled Content -->
<div class="warning">
<h3 style="margin-top: 0;">Vector Sync is Disabled</h3>
<p>
Semantic search and vector visualization features are currently disabled.
To enable these features, set <code>VECTOR_SYNC_ENABLED=true</code> in your environment configuration.
</p>
<p style="margin-bottom: 0;">
<strong>Learn more:</strong>
<a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/configuration.md" target="_blank" style="color: inherit; text-decoration: underline;">
Configuration Guide
</a>
</p>
</div>
<!-- Limited Feature Card -->
<h2>Available Features</h2>
<div class="feature-grid">
<a href="#" @click.prevent="activeSection = 'user-info'" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
</div>
<h3>User Information</h3>
<p>
View your authentication details, session information, and IdP profile.
Manage background access permissions.
</p>
</a>
</div>
{% endif %}
<!-- Documentation Section -->
<div class="info-section" style="margin-top: 40px;">
<h2>Documentation</h2>
<p>
For detailed information about configuration, authentication modes, and advanced features,
please refer to the project documentation:
</p>
<ul>
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/installation.md" target="_blank">Installation Guide</a></li>
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/configuration.md" target="_blank">Configuration Options</a></li>
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/authentication.md" target="_blank">Authentication Modes</a></li>
{% if vector_sync_enabled %}
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/user-guide/vector-sync-ui.md" target="_blank">Vector Sync UI Guide</a></li>
{% endif %}
</ul>
</div>
</div>
<!-- User Info Section -->
<div x-show="activeSection === 'user-info'">
<div class="content-section">
<h1>User Information</h1>
{{ user_info_tab_html|safe }}
</div>
</div>
{% if show_vector_sync_tab %}
<!-- Vector Sync Section -->
<div x-show="activeSection === 'vector-sync'">
<div class="content-section">
<h1>Vector Sync Status</h1>
{{ vector_sync_tab_html|safe }}
</div>
</div>
<!-- Vector Viz Section -->
<div x-show="activeSection === 'vector-viz'">
<div class="content-section">
<h1>Vector Visualization</h1>
<div hx-get="/app/vector-viz" hx-trigger="load" hx-swap="outerHTML">
<p style="color: #999;">Loading vector visualization...</p>
</div>
</div>
</div>
{% endif %}
{% if show_webhooks_tab %}
<!-- Webhooks Section -->
<div x-show="activeSection === 'webhooks'">
<div class="content-section">
<h1>Webhook Management</h1>
{{ webhooks_tab_html|safe }}
</div>
</div>
{% endif %}
</div>
</main>
</div>
<script>
// Set global Nextcloud base URL for use in external JS
window.NEXTCLOUD_BASE_URL = '{{ nextcloud_host_for_links }}';
</script>
<script src="/app/static/vector-viz.js"></script>
{% endblock %}
@@ -1,286 +1,111 @@
<style>
.viz-card {
background: white;
border-radius: 8px;
padding: 20px;
margin-bottom: 20px;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}
.viz-controls {
margin-bottom: 20px;
}
.viz-control-row {
display: grid;
grid-template-columns: 2fr 1fr auto;
gap: 12px;
margin-bottom: 12px;
align-items: end;
}
.viz-control-group {
margin-bottom: 15px;
}
.viz-control-group label {
display: block;
margin-bottom: 5px;
font-weight: 500;
color: #333;
}
.viz-control-group input[type="text"],
.viz-control-group input[type="number"],
.viz-control-group select {
width: 100%;
padding: 8px 12px;
border: 1px solid #ddd;
border-radius: 4px;
font-size: 14px;
}
.viz-control-group input[type="range"] {
width: 100%;
}
.viz-control-group select[multiple] {
min-height: 100px;
}
.viz-weight-display {
display: inline-block;
min-width: 40px;
text-align: right;
color: #666;
}
.viz-btn {
background: #0066cc;
color: white;
border: none;
padding: 10px 20px;
border-radius: 4px;
cursor: pointer;
font-size: 14px;
font-weight: 500;
}
.viz-btn:hover {
background: #0052a3;
}
.viz-btn-secondary {
background: #6c757d;
color: white;
border: none;
padding: 6px 12px;
border-radius: 4px;
cursor: pointer;
font-size: 13px;
margin-bottom: 12px;
}
.viz-btn-secondary:hover {
background: #5a6268;
}
#viz-plot-container {
width: 100%;
height: 600px;
position: relative;
}
#viz-plot {
width: 100%;
height: 100%;
}
.viz-loading {
text-align: center;
padding: 40px;
color: #666;
}
.viz-loading-overlay {
position: absolute;
inset: 0;
display: flex;
align-items: center;
justify-content: center;
background: white;
color: #666;
}
.viz-no-results {
text-align: center;
padding: 40px;
color: #666;
font-style: italic;
}
.viz-advanced-section {
margin-top: 16px;
padding: 16px;
background: #f8f9fa;
border-radius: 4px;
border: 1px solid #dee2e6;
}
.viz-advanced-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 20px;
}
.viz-info-box {
background: #e3f2fd;
border-left: 4px solid #2196f3;
padding: 12px;
margin-bottom: 20px;
font-size: 14px;
}
.chunk-toggle-btn {
background: #6c757d;
color: white;
border: none;
padding: 4px 10px;
border-radius: 3px;
cursor: pointer;
font-size: 12px;
margin-top: 6px;
}
.chunk-toggle-btn:hover {
background: #5a6268;
}
.chunk-context {
background: #f8f9fa;
border: 1px solid #dee2e6;
border-radius: 4px;
padding: 12px;
margin-top: 8px;
font-family: monospace;
font-size: 13px;
line-height: 1.6;
white-space: pre-wrap;
word-wrap: break-word;
}
.chunk-text {
color: #666;
}
.chunk-matched {
background: #fff3cd;
border: 1px solid #ffc107;
padding: 2px 4px;
border-radius: 2px;
font-weight: 500;
color: #333;
}
.chunk-ellipsis {
color: #999;
font-style: italic;
}
</style>
<div x-data="vizApp()">
<div class="viz-card">
<h2>Vector Visualization</h2>
<div class="viz-info-box">
Testing search algorithms on your indexed documents. User: <strong>{{ username }}</strong>
</div>
<div class="viz-layout">
<!-- Top: Search Controls -->
<div class="viz-card viz-controls-card">
<form @submit.prevent="executeSearch">
<div class="viz-controls-grid">
<div class="viz-control-group">
<label>Search Query</label>
<input type="text" x-model="query" placeholder="Enter search query..." required />
</div>
<form @submit.prevent="executeSearch">
<div class="viz-controls">
<!-- Main Controls -->
<div class="viz-control-group">
<label>Search Query</label>
<input type="text" x-model="query" placeholder="Enter search query..." required />
</div>
<div class="viz-control-row">
<div class="viz-control-group" style="margin-bottom: 0;">
<div class="viz-control-group">
<label>Algorithm</label>
<select x-model="algorithm">
<option value="semantic">Semantic (Dense Vectors)</option>
<option value="bm25_hybrid" selected>BM25 Hybrid (Dense + Sparse)</option>
<option value="semantic">Semantic (Dense)</option>
<option value="bm25_hybrid" selected>BM25 Hybrid</option>
</select>
</div>
<div class="viz-control-group" style="margin-bottom: 0;">
<label>Fusion Method</label>
<div class="viz-control-group">
<label>Fusion</label>
<select x-model="fusion" :disabled="algorithm !== 'bm25_hybrid'" :style="algorithm !== 'bm25_hybrid' ? 'opacity: 0.5; cursor: not-allowed;' : ''">
<option value="rrf" selected>RRF (Reciprocal Rank Fusion)</option>
<option value="dbsf">DBSF (Distribution-Based Score Fusion)</option>
<option value="rrf" selected>RRF</option>
<option value="dbsf">DBSF</option>
</select>
</div>
<div style="display: flex; align-items: flex-end;">
<button type="submit" class="viz-btn" style="width: 100%;">Search & Visualize</button>
<div class="viz-control-group">
<label>&nbsp;</label>
<button type="submit" class="viz-btn">Search</button>
</div>
<div style="display: flex; align-items: flex-end;">
<button type="button" class="viz-btn-secondary" @click="showAdvanced = !showAdvanced" style="white-space: nowrap;">
<span x-text="showAdvanced ? 'Hide Advanced' : 'Advanced'"></span>
<div class="viz-control-group">
<label>&nbsp;</label>
<button type="button" class="viz-btn-secondary" @click="showAdvanced = !showAdvanced">
<span x-text="showAdvanced ? 'Hide' : 'Advanced'"></span>
</button>
</div>
</div>
<!-- Advanced Options (Collapsible) -->
<div class="viz-advanced-section" x-show="showAdvanced" x-transition.opacity.duration.200ms>
<h3 style="margin-top: 0; margin-bottom: 16px; font-size: 16px;">Advanced Options</h3>
<div class="viz-advanced-grid">
<div x-show="showAdvanced" style="margin-top: 16px;">
<div class="viz-controls-grid" style="grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));">
<div class="viz-control-group">
<label style="display: block; margin-bottom: 8px;">Document Types</label>
<div style="display: grid; grid-template-columns: 1fr; gap: 6px;">
<label>Document Types</label>
<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 8px; font-size: 13px;">
<label style="display: flex; align-items: center; cursor: pointer; font-weight: normal;">
<input type="checkbox" x-model="docTypes" value="" style="margin-right: 8px;">
<span>All Types</span>
<input type="checkbox" x-model="docTypes" value="" style="margin-right: 4px;">
<span>All</span>
</label>
<label style="display: flex; align-items: center; cursor: pointer; font-weight: normal;">
<input type="checkbox" x-model="docTypes" value="note" style="margin-right: 8px;">
<input type="checkbox" x-model="docTypes" value="note" style="margin-right: 4px;">
<span>Notes</span>
</label>
<label style="display: flex; align-items: center; cursor: pointer; font-weight: normal;">
<input type="checkbox" x-model="docTypes" value="file" style="margin-right: 8px;">
<input type="checkbox" x-model="docTypes" value="file" style="margin-right: 4px;">
<span>Files</span>
</label>
<label style="display: flex; align-items: center; cursor: pointer; font-weight: normal;">
<input type="checkbox" x-model="docTypes" value="calendar" style="margin-right: 8px;">
<span>Calendar Events</span>
<input type="checkbox" x-model="docTypes" value="calendar" style="margin-right: 4px;">
<span>Calendar</span>
</label>
<label style="display: flex; align-items: center; cursor: pointer; font-weight: normal;">
<input type="checkbox" x-model="docTypes" value="contact" style="margin-right: 8px;">
<input type="checkbox" x-model="docTypes" value="contact" style="margin-right: 4px;">
<span>Contacts</span>
</label>
<label style="display: flex; align-items: center; cursor: pointer; font-weight: normal;">
<input type="checkbox" x-model="docTypes" value="deck" style="margin-right: 8px;">
<span>Deck Cards</span>
<input type="checkbox" x-model="docTypes" value="deck" style="margin-right: 4px;">
<span>Deck</span>
</label>
</div>
</div>
<div>
<div class="viz-control-group">
<label>Score Threshold (Semantic/Hybrid)</label>
<input type="number" x-model.number="scoreThreshold" min="0" max="1" step="any" />
</div>
<div class="viz-control-group">
<label>Score Threshold</label>
<input type="number" x-model.number="scoreThreshold" min="0" max="1" step="any" />
</div>
<div class="viz-control-group">
<label>Result Limit</label>
<input type="number" x-model.number="limit" min="1" max="100" />
</div>
<div class="viz-control-group">
<label>Result Limit</label>
<input type="number" x-model.number="limit" min="1" max="1000" />
</div>
<div class="viz-control-group">
<label>Display Options</label>
<label style="display: flex; align-items: center; cursor: pointer; font-weight: normal; margin-top: 4px;">
<input type="checkbox" x-model="showQueryPoint" @change="updatePlot()" style="margin-right: 6px;">
<span>Show Query Point</span>
</label>
</div>
</div>
<!-- Info: BM25 Hybrid fusion methods -->
<div x-show="algorithm === 'bm25_hybrid'" style="margin-top: 16px; padding: 12px; background: #e9ecef; border-radius: 4px;">
<p style="margin: 0; font-size: 14px; color: #666;">
<strong>BM25 Hybrid Search:</strong> Combines dense semantic vectors with sparse BM25 keyword vectors.
</p>
<p style="margin: 8px 0 0 0; font-size: 13px; color: #666;">
<strong>RRF:</strong> Reciprocal Rank Fusion - Rank-based fusion producing scores in [0.0, 1.0]
</p>
<p style="margin: 4px 0 0 0; font-size: 13px; color: #666;">
<strong>DBSF:</strong> Distribution-Based Score Fusion - Sums normalized scores (can exceed 1.0)
</p>
</div>
</div>
</div>
</form>
</div>
<div class="viz-card">
<div id="viz-plot-container">
<div x-show="loading" class="viz-loading-overlay" x-transition.opacity.duration.200ms>
Executing search and computing PCA projection...
</div>
<div id="viz-plot" x-show="!loading" x-transition.opacity.duration.200ms></div>
</form>
</div>
</div>
<div class="viz-card">
<h3>Search Results (<span x-text="loading ? '...' : results.length"></span>)</h3>
<!-- Plot -->
<div class="viz-card viz-card-plot">
<div id="viz-plot-container">
<div x-show="loading" class="viz-loading-overlay" x-transition.opacity.duration.200ms>
Executing search and computing PCA projection...
</div>
<div id="viz-plot" x-show="!loading" x-transition.opacity.duration.200ms></div>
</div>
</div>
<!-- Results -->
<div class="viz-card" style="flex: 0 0 auto;">
<h3 style="margin-top: 0;">Search Results (<span x-text="loading ? '...' : results.length"></span>)</h3>
<div x-show="loading" class="viz-loading" x-transition.opacity.duration.200ms>
Loading results...
@@ -335,5 +160,6 @@
</template>
</div>
</template>
</div>
</div>
</div><!-- Search Results -->
</div><!-- .viz-layout -->
</div><!-- x-data="vizApp()" -->
@@ -0,0 +1,392 @@
{% extends "base.html" %}
{% block title %}Welcome - Nextcloud MCP Server{% endblock %}
{% block extra_head %}
<!-- Alpine.js for interactive elements -->
<script defer src="https://cdn.jsdelivr.net/npm/alpinejs@3.x.x/dist/cdn.min.js"></script>
{% endblock %}
{% block extra_styles %}
/* Welcome page specific styles */
.hero-section {
background: linear-gradient(135deg, var(--color-primary-element) 0%, #0082c9 100%);
color: white;
padding: 60px 24px;
margin: -24px -24px 40px -24px;
border-radius: 0 0 var(--border-radius-large) var(--border-radius-large);
text-align: center;
}
.hero-section h1 {
color: white;
font-size: 36px;
margin: 0 0 16px 0;
font-weight: 600;
}
.hero-section p {
font-size: 18px;
opacity: 0.95;
max-width: 700px;
margin: 0 auto;
line-height: 1.6;
}
.feature-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
gap: 24px;
margin: 32px 0;
}
.feature-card {
background: var(--color-main-background);
border: 2px solid var(--color-border);
border-radius: var(--border-radius-large);
padding: 24px;
transition: all 0.2s;
cursor: pointer;
text-decoration: none;
color: inherit;
display: block;
}
.feature-card:hover {
border-color: var(--color-primary-element);
box-shadow: 0 4px 12px rgba(0, 103, 158, 0.15);
transform: translateY(-2px);
}
.feature-card h3 {
color: var(--color-primary-element);
font-size: 20px;
margin: 12px 0 8px 0;
font-weight: 600;
display: flex;
align-items: center;
gap: 12px;
}
.feature-card p {
color: var(--color-text-maxcontrast);
font-size: 14px;
line-height: 1.6;
margin: 8px 0 0 0;
}
.feature-icon {
width: 48px;
height: 48px;
background: var(--color-primary-element-light);
border-radius: var(--border-radius);
display: flex;
align-items: center;
justify-content: center;
margin-bottom: 8px;
}
.feature-icon svg {
width: 28px;
height: 28px;
fill: var(--color-primary-element);
}
.info-section {
background: var(--color-background-hover);
border-radius: var(--border-radius-large);
padding: 32px;
margin: 32px 0;
}
.info-section h2 {
color: var(--color-main-text);
font-size: 24px;
margin: 0 0 16px 0;
border: none;
padding: 0;
}
.info-section p {
color: var(--color-text-maxcontrast);
line-height: 1.7;
margin: 12px 0;
}
.info-section ul {
margin: 12px 0;
padding-left: 24px;
}
.info-section li {
color: var(--color-text-maxcontrast);
line-height: 1.7;
margin: 8px 0;
}
.info-section code {
background: var(--color-main-background);
padding: 2px 8px;
border-radius: var(--border-radius);
font-size: 13px;
}
.auth-status {
background: var(--color-primary-element-light);
border-left: 4px solid var(--color-primary-element);
padding: 16px 20px;
margin: 24px 0;
border-radius: var(--border-radius);
display: flex;
align-items: center;
gap: 12px;
}
.auth-status svg {
width: 24px;
height: 24px;
fill: var(--color-primary-element);
flex-shrink: 0;
}
.auth-status-text {
flex: 1;
}
.auth-status-text strong {
display: block;
color: var(--color-main-text);
font-size: 14px;
margin-bottom: 4px;
}
.auth-status-text span {
color: var(--color-text-maxcontrast);
font-size: 13px;
}
{% endblock %}
{% block content %}
<div class="app-content-wrapper">
<!-- Main Content Area -->
<main id="app-content">
<div class="page-content">
<!-- Hero Section -->
<div class="hero-section">
<h1>Welcome to Nextcloud MCP Server</h1>
<p>
Interactive user interface for semantic search and document retrieval.
Test queries, visualize results, and explore your Nextcloud content using RAG workflows.
</p>
</div>
<!-- Authentication Status -->
<div class="auth-status">
<svg viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
<div class="auth-status-text">
<strong>Authenticated as: {{ username }}</strong>
<span>Authentication mode: <code>{{ auth_mode }}</code></span>
</div>
</div>
{% if vector_sync_enabled %}
<!-- Vector Sync Enabled Content -->
<div class="info-section">
<h2>About Semantic Search</h2>
<p>
This interface provides access to <strong>semantic search</strong> capabilities powered by vector embeddings.
Unlike traditional keyword search, semantic search understands the <em>meaning</em> of your queries and finds
conceptually similar content across your Nextcloud apps.
</p>
<p>
<strong>How it works:</strong>
</p>
<ul>
<li>Documents from Notes, Calendar, Files, Contacts, and Deck are indexed into a vector database</li>
<li>Each document chunk is converted to a 768-dimensional vector embedding that captures semantic meaning</li>
<li>Queries are also converted to embeddings and matched against document vectors using similarity search</li>
<li>Results can be retrieved using pure semantic search or hybrid BM25 search combining keywords and semantics</li>
</ul>
</div>
<div class="info-section">
<h2>RAG Workflow Integration</h2>
<p>
This UI allows you to <strong>test the same queries that Large Language Models (LLMs) would use</strong> in a
Retrieval-Augmented Generation (RAG) workflow. When an AI assistant needs to answer questions about your data:
</p>
<ul>
<li><strong>Step 1:</strong> The assistant converts your question into a search query</li>
<li><strong>Step 2:</strong> The MCP server retrieves relevant document chunks using semantic search</li>
<li><strong>Step 3:</strong> Retrieved context is passed to the LLM to generate an informed answer</li>
</ul>
<!-- RAG Workflow Diagram -->
<div style="background: var(--color-main-background); border: 2px solid var(--color-primary-element); border-radius: var(--border-radius-large); padding: 24px; margin: 24px 0; font-family: 'SFMono-Regular', 'Consolas', 'Liberation Mono', 'Menlo', monospace; font-size: 13px; line-height: 1.8; overflow-x: auto;">
<div style="text-align: center; font-weight: 600; margin-bottom: 16px; color: var(--color-primary-element); font-size: 14px;">
MCP Sampling RAG Workflow
</div>
<pre style="margin: 0; color: var(--color-main-text);">
┌─────────────────┐
<strong>MCP Client</strong> │ User asks: "What are health benefits of coffee?"
│ (Claude Code) │
└────────┬────────┘
│ (1) User question
┌────────────────────────────────────────────────────────────────────────┐
<strong>Nextcloud MCP Server</strong>
│ ┌──────────────────────────────────────────────────────────────────┐ │
│ │ <strong>nc_semantic_search_answer</strong> Tool (MCP Sampling-enabled) │ │
│ │ │ │
│ │ (2) Semantic Search │ │
│ │ ┌────────────────────────────────────────────────────────┐ │ │
│ │ │ Query: "health benefits of coffee" │ │ │
│ │ │ → Convert to 768D vector embedding │ │ │
│ │ │ → Search Qdrant (BM25 Hybrid + RRF fusion) │ │ │
│ │ │ → Retrieve top 5 relevant document chunks │ │ │
│ │ └────────────────────────────────────────────────────────┘ │ │
│ │ │ │
│ │ (3) Construct Prompt with Context │ │
│ │ ┌────────────────────────────────────────────────────────┐ │ │
│ │ │ "What are health benefits of coffee? │ │ │
│ │ │ │ │ │
│ │ │ Documents: │ │ │
│ │ │ - [MED-2155] Effects of habitual coffee consumption...│ │ │
│ │ │ - [MED-1646] Beverage consumption guidance... │ │ │
│ │ │ - [MED-1627] Coffee and depression risk... │ │ │
│ │ │ ... │ │ │
│ │ │ │ │ │
│ │ │ Provide answer with citations." │ │ │
│ │ └────────────────────────────────────────────────────────┘ │ │
│ │ │ │
│ │ (4) MCP Sampling Request │ │
│ │ ─────────────────────────────────────────────────────────────> │ │
│ └──────────────────────────────────────────────────────────────────┘ │
└────────────────────────────────────────────────────────────────────────┘
│ Sampling request with prompt + context
┌─────────────────┐
<strong>MCP Client</strong> │ (5) Client's LLM generates answer using retrieved context
│ (Claude) │ → "Coffee consumption (2-3 cups/day) is associated with
└────────┬────────┘ reduced risk of type 2 diabetes, cardiovascular disease,
│ and improved liver health (Document 1, 2)..."
│ (6) Answer with citations
┌─────────────────┐
│ User │ Receives comprehensive answer with source citations
└─────────────────┘</pre>
</div>
<p style="margin-top: 16px;">
<strong>Key Point:</strong> The MCP server retrieves context but doesn't generate answers itself.
Through <strong>MCP sampling</strong>, it requests the client's LLM to generate responses, giving users
full control over which model is used and ensuring all processing happens client-side.
</p>
<p>
By using this interface, you can preview search results, understand relevance scores, and verify
that the system retrieves the right information before it reaches the LLM.
</p>
</div>
<!-- Feature Cards -->
<h2>Available Features</h2>
<div class="feature-grid">
<a href="/app/user-info" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
</div>
<h3>User Information</h3>
<p>
View your authentication details, session information, and IdP profile.
Manage background access permissions.
</p>
</a>
<a href="/app/user-info#vector-sync" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M12,18A6,6 0 0,1 6,12C6,11 6.25,10.03 6.7,9.2L5.24,7.74C4.46,8.97 4,10.43 4,12A8,8 0 0,0 12,20V23L16,19L12,15M12,4V1L8,5L12,9V6A6,6 0 0,1 18,12C18,13 17.75,13.97 17.3,14.8L18.76,16.26C19.54,15.03 20,13.57 20,12A8,8 0 0,0 12,4Z" />
</svg>
</div>
<h3>Vector Sync Status</h3>
<p>
Monitor real-time indexing progress with metrics for indexed documents, pending queue,
and synchronization status.
</p>
</a>
<a href="/app/user-info#vector-viz" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M22,21H2V3H4V19H6V10H10V19H12V6H16V19H18V14H22V21Z" />
</svg>
</div>
<h3>Vector Visualization</h3>
<p>
Interactive search interface with 2D PCA visualization. Compare algorithms,
view relevance scores, and explore matched document chunks.
</p>
</a>
</div>
{% else %}
<!-- Vector Sync Disabled Content -->
<div class="warning">
<h3 style="margin-top: 0;">Vector Sync is Disabled</h3>
<p>
Semantic search and vector visualization features are currently disabled.
To enable these features, set <code>VECTOR_SYNC_ENABLED=true</code> in your environment configuration.
</p>
<p style="margin-bottom: 0;">
<strong>Learn more:</strong>
<a href="https://github.com/YOUR_REPO/docs/configuration.md" target="_blank" style="color: inherit; text-decoration: underline;">
Configuration Guide
</a>
</p>
</div>
<!-- Limited Feature Card -->
<h2>Available Features</h2>
<div class="feature-grid">
<a href="/app/user-info" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
</div>
<h3>User Information</h3>
<p>
View your authentication details, session information, and IdP profile.
Manage background access permissions.
</p>
</a>
</div>
{% endif %}
<!-- Documentation Section -->
<div class="info-section" style="margin-top: 40px;">
<h2>Documentation</h2>
<p>
For detailed information about configuration, authentication modes, and advanced features,
please refer to the project documentation:
</p>
<ul>
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/installation.md" target="_blank">Installation Guide</a></li>
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/configuration.md" target="_blank">Configuration Options</a></li>
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/authentication.md" target="_blank">Authentication Modes</a></li>
{% if vector_sync_enabled %}
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/user-guide/vector-sync-ui.md" target="_blank">Vector Sync UI Guide</a></li>
{% endif %}
</ul>
</div>
</div>
</main>
</div>
{% endblock %}
+58 -561
View File
@@ -9,15 +9,21 @@ For OAuth mode: Requires browser-based OAuth login to establish session.
import logging
import os
from pathlib import Path
from typing import Any
import httpx
from jinja2 import Environment, FileSystemLoader
from starlette.authentication import requires
from starlette.requests import Request
from starlette.responses import HTMLResponse, JSONResponse
logger = logging.getLogger(__name__)
# Setup Jinja2 environment for templates
_template_dir = Path(__file__).parent / "templates"
_jinja_env = Environment(loader=FileSystemLoader(_template_dir))
async def _get_authenticated_client_for_userinfo(request: Request) -> httpx.AsyncClient:
"""Get an authenticated HTTP client for user info page operations.
@@ -431,51 +437,14 @@ async def user_info_html(request: Request) -> HTMLResponse:
oauth_ctx = getattr(request.app.state, "oauth_context", None)
login_url = str(request.url_for("oauth_login")) if oauth_ctx else "/oauth/login"
error_html = f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Error - Nextcloud MCP Server</title>
<style>
body {{
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
max-width: 800px;
margin: 50px auto;
padding: 20px;
background-color: #f5f5f5;
}}
.container {{
background: white;
border-radius: 8px;
padding: 30px;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}}
h1 {{
color: #d32f2f;
margin-top: 0;
}}
.error {{
background-color: #ffebee;
border-left: 4px solid #d32f2f;
padding: 15px;
margin: 20px 0;
}}
</style>
</head>
<body>
<div class="container">
<h1>Error Retrieving User Info</h1>
<div class="error">
<strong>Error:</strong> {user_context["error"]}
</div>
<p><a href="{login_url}">Login again</a></p>
</div>
</body>
</html>
"""
return HTMLResponse(content=error_html)
template = _jinja_env.get_template("error.html")
return HTMLResponse(
content=template.render(
error_title="Error Retrieving User Info",
error_message=user_context["error"],
login_url=login_url,
)
)
# Build HTML response
auth_mode = user_context.get("auth_mode", "unknown")
@@ -654,457 +623,26 @@ async def user_info_html(request: Request) -> HTMLResponse:
</div>
"""
html_content = f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Nextcloud MCP Server</title>
# Check if vector sync is enabled (needed for Welcome tab)
vector_sync_enabled = os.getenv("VECTOR_SYNC_ENABLED", "false").lower() == "true"
<!-- htmx for dynamic loading -->
<script src="https://unpkg.com/htmx.org@1.9.10"></script>
<!-- Alpine.js for tab state management -->
<script defer src="https://cdn.jsdelivr.net/npm/alpinejs@3.x.x/dist/cdn.min.js"></script>
<!-- Plotly.js for vector visualization -->
<script src="https://cdn.plot.ly/plotly-2.27.0.min.js"></script>
<!-- Vector visualization app (Alpine.js component) -->
<script>
function vizApp() {{
return {{
query: '',
algorithm: 'bm25_hybrid',
fusion: 'rrf', // Default fusion method for BM25 Hybrid
showAdvanced: false,
docTypes: [''], // Default to "All Types"
limit: 50,
scoreThreshold: 0.0,
loading: false,
results: [],
expandedChunks: {{}}, // Track which chunks are expanded (result_id -> chunk data)
chunkLoading: {{}}, // Track loading state per result
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,
}});
// Add fusion parameter for BM25 Hybrid
if (this.algorithm === 'bm25_hybrid') {{
params.append('fusion', this.fusion);
}}
// Add doc_types parameter (filter out empty string for "All Types")
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?${{params}}`);
const data = await response.json();
if (data.success) {{
this.results = data.results;
this.renderPlot(data.coordinates_2d, data.results);
}} else {{
alert('Search failed: ' + data.error);
}}
}} catch (error) {{
alert('Error: ' + error.message);
}} finally {{
this.loading = false;
}}
}},
renderPlot(coordinates, results) {{
// Calculate score range for auto-scaling
const scores = results.map(r => r.score);
const minScore = Math.min(...scores);
const maxScore = Math.max(...scores);
const trace = {{
x: coordinates.map(c => c[0]),
y: coordinates.map(c => c[1]),
mode: 'markers',
type: 'scatter',
text: results.map(r => `${{r.title}}<br>Raw Score: ${{r.original_score.toFixed(3)}} (${{(r.score * 100).toFixed(0)}}% relative)`),
marker: {{
// Multi-channel encoding: size + opacity + color for visual hierarchy
// Power scaling (score^2) amplifies visual differences dramatically
// score=0.0 6px, score=0.5 9.5px, score=1.0 20px
size: results.map(r => 6 + (Math.pow(r.score, 2) * 14)),
// Linear opacity scaling (0.2-1.0 range keeps all points visible)
opacity: results.map(r => 0.2 + (r.score * 0.8)),
// Color gradient shows score
color: scores,
colorscale: 'Viridis',
showscale: true,
colorbar: {{ title: 'Relative Score' }},
// Scores are normalized 0-1 within result set
cmin: 0,
cmax: 1
}}
}};
const layout = {{
title: `Vector Space (PCA 2D) - ${{results.length}} results`,
xaxis: {{ title: 'PC1' }},
yaxis: {{ title: 'PC2' }},
hovermode: 'closest',
height: 600
}};
Plotly.newPlot('viz-plot', [trace], layout);
}},
getNextcloudUrl(result) {{
// Generate Nextcloud URL based on document type
// Use the actual Nextcloud host (port 8080), not the MCP server
const baseUrl = '{nextcloud_host_for_links}';
switch (result.doc_type) {{
case 'note':
return `${{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 `${{baseUrl}}`;
}}
}},
hasChunkPosition(result) {{
// Check if result has position metadata
return result.chunk_start_offset != null && result.chunk_end_offset != null;
}},
isChunkExpanded(resultKey) {{
return this.expandedChunks[resultKey] !== undefined;
}},
async toggleChunk(result) {{
const resultKey = `${{result.doc_type}}_${{result.id}}`;
// If already expanded, collapse
if (this.isChunkExpanded(resultKey)) {{
delete this.expandedChunks[resultKey];
return;
}}
// Otherwise, fetch and expand
this.chunkLoading[resultKey] = true;
try {{
const params = new URLSearchParams({{
doc_type: result.doc_type,
doc_id: result.id,
start: result.chunk_start_offset,
end: result.chunk_end_offset,
context: 500 // 500 chars before/after
}});
const response = await fetch(`/app/chunk-context?${{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];
}}
}}
}}
}}
</script>
<style>
body {{
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
max-width: 900px;
margin: 50px auto;
padding: 20px;
background-color: #f5f5f5;
}}
.container {{
background: white;
border-radius: 8px;
padding: 30px;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
min-height: calc(100vh - 200px);
}}
h1 {{
color: #0082c9;
margin-top: 0;
border-bottom: 2px solid #0082c9;
padding-bottom: 10px;
}}
h2 {{
color: #333;
margin-top: 20px;
border-bottom: 1px solid #e0e0e0;
padding-bottom: 5px;
}}
/* Tab navigation */
.tabs {{
display: flex;
gap: 0;
margin: 20px 0 0 0;
border-bottom: 2px solid #e0e0e0;
}}
.tab {{
padding: 12px 24px;
cursor: pointer;
background: transparent;
border: none;
font-size: 14px;
font-weight: 500;
color: #666;
border-bottom: 2px solid transparent;
margin-bottom: -2px;
transition: all 0.2s;
}}
.tab:hover {{
color: #0082c9;
background-color: #f5f5f5;
}}
.tab.active {{
color: #0082c9;
border-bottom-color: #0082c9;
}}
/* Tab content - use grid to overlay panes */
.tab-content {{
padding: 20px 0;
display: grid;
}}
/* Tab panes - all occupy the same grid cell to overlay */
.tab-pane {{
grid-area: 1 / 1;
}}
/* Tables */
table {{
width: 100%;
border-collapse: collapse;
margin: 15px 0;
}}
td {{
padding: 10px;
border-bottom: 1px solid #e0e0e0;
}}
td:first-child {{
width: 200px;
color: #666;
}}
code {{
background-color: #f5f5f5;
padding: 2px 6px;
border-radius: 3px;
font-family: 'Courier New', monospace;
}}
/* Badges */
.badge {{
display: inline-block;
padding: 3px 8px;
border-radius: 12px;
font-size: 12px;
font-weight: bold;
text-transform: uppercase;
}}
.badge-oauth {{
background-color: #4caf50;
color: white;
}}
.badge-basic {{
background-color: #2196f3;
color: white;
}}
/* Messages */
.warning {{
background-color: #fff3cd;
border-left: 4px solid #ffc107;
padding: 15px;
margin: 15px 0;
color: #856404;
}}
.info-message {{
background-color: #e3f2fd;
border-left: 4px solid #2196f3;
padding: 15px;
margin: 15px 0;
color: #1565c0;
}}
/* Buttons */
.button {{
display: inline-block;
padding: 10px 20px;
background-color: #d32f2f;
color: white;
text-decoration: none;
border-radius: 4px;
transition: background-color 0.3s;
border: none;
cursor: pointer;
font-size: 14px;
}}
.button:hover {{
background-color: #b71c1c;
}}
.button-primary {{
background-color: #0082c9;
}}
.button-primary:hover {{
background-color: #006ba3;
}}
/* Logout section */
.logout {{
margin-top: 30px;
padding-top: 20px;
border-top: 1px solid #e0e0e0;
}}
/* Smooth htmx content swaps */
.htmx-swapping {{
opacity: 0;
transition: opacity 200ms ease-out;
}}
/* Smooth htmx content settling */
.htmx-settling {{
opacity: 1;
transition: opacity 200ms ease-in;
}}
</style>
</head>
<body>
<div class="container" x-data="{{ activeTab: 'user-info' }}">
<h1>Nextcloud MCP Server</h1>
<!-- Tab Navigation -->
<div class="tabs">
<button
class="tab"
:class="activeTab === 'user-info' ? 'active' : ''"
@click="activeTab = 'user-info'">
User Info
</button>
{
""
if not show_vector_sync_tab
else '''
<button
class="tab"
:class="activeTab === 'vector-sync' ? 'active' : ''"
@click="activeTab = 'vector-sync'">
Vector Sync
</button>
'''
}
{
""
if not show_vector_sync_tab
else '''
<button
class="tab"
:class="activeTab === 'vector-viz' ? 'active' : ''"
@click="activeTab = 'vector-viz'">
Vector Viz
</button>
'''
}
{
""
if not show_webhooks_tab
else '''
<button
class="tab"
:class="activeTab === 'webhooks' ? 'active' : ''"
@click="activeTab = 'webhooks'">
Webhooks
</button>
'''
}
</div>
<!-- Tab Content -->
<div class="tab-content">
<!-- User Info Tab -->
<div class="tab-pane" x-show="activeTab === 'user-info'" x-transition.opacity.duration.150ms>
{user_info_tab_html}
</div>
{
""
if not show_vector_sync_tab
else f'''
<!-- Vector Sync Tab -->
<div class="tab-pane" x-show="activeTab === 'vector-sync'" x-transition.opacity.duration.150ms>
{vector_sync_tab_html}
</div>
'''
}
{
""
if not show_vector_sync_tab
else '''
<!-- Vector Viz Tab -->
<div class="tab-pane" x-show="activeTab === 'vector-viz'" x-transition.opacity.duration.150ms>
<div hx-get="/app/vector-viz" hx-trigger="load" hx-swap="outerHTML">
<p style="color: #999;">Loading vector visualization...</p>
</div>
</div>
'''
}
{
""
if not show_webhooks_tab
else f'''
<!-- Webhooks Tab (admin-only, loaded dynamically) -->
<div class="tab-pane" x-show="activeTab === 'webhooks'" x-transition.opacity.duration.150ms>
{webhooks_tab_html}
</div>
'''
}
</div>
{
f'<div class="logout"><a href="{logout_url}" class="button">Logout</a></div>'
if auth_mode == "oauth"
else ""
}
</div>
</body>
</html>
"""
return HTMLResponse(content=html_content)
# Render template
template = _jinja_env.get_template("user_info.html")
return HTMLResponse(
content=template.render(
user_info_tab_html=user_info_tab_html,
vector_sync_tab_html=vector_sync_tab_html,
webhooks_tab_html=webhooks_tab_html,
show_vector_sync_tab=show_vector_sync_tab,
show_webhooks_tab=show_webhooks_tab,
logout_url=logout_url if auth_mode == "oauth" else None,
nextcloud_host_for_links=nextcloud_host_for_links,
# Additional context for Welcome tab
vector_sync_enabled=vector_sync_enabled,
username=username,
auth_mode=auth_mode,
)
)
@requires("authenticated", redirect="oauth_login")
@@ -1124,17 +662,12 @@ async def revoke_session(request: Request) -> HTMLResponse:
oauth_ctx = getattr(request.app.state, "oauth_context", None)
if not oauth_ctx:
template = _jinja_env.get_template("error.html")
return HTMLResponse(
"""
<!DOCTYPE html>
<html>
<head><title>Error</title></head>
<body>
<h1>Error</h1>
<p>OAuth mode not enabled</p>
</body>
</html>
""",
content=template.render(
error_title="Error",
error_message="OAuth mode not enabled",
),
status_code=400,
)
@@ -1142,17 +675,12 @@ async def revoke_session(request: Request) -> HTMLResponse:
session_id = request.cookies.get("mcp_session")
if not storage or not session_id:
template = _jinja_env.get_template("error.html")
return HTMLResponse(
"""
<!DOCTYPE html>
<html>
<head><title>Error</title></head>
<body>
<h1>Error</h1>
<p>Session not found</p>
</body>
</html>
""",
content=template.render(
error_title="Error",
error_message="Session not found",
),
status_code=400,
)
@@ -1165,57 +693,26 @@ async def revoke_session(request: Request) -> HTMLResponse:
# Redirect back to user page
user_page_url = str(request.url_for("user_info_html"))
template = _jinja_env.get_template("success.html")
return HTMLResponse(
f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="refresh" content="2;url={user_page_url}">
<title>Background Access Revoked</title>
<style>
body {{
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
max-width: 600px;
margin: 50px auto;
padding: 20px;
text-align: center;
}}
.success {{
background-color: #e8f5e9;
border: 2px solid #4caf50;
padding: 30px;
border-radius: 8px;
}}
h1 {{
color: #4caf50;
}}
</style>
</head>
<body>
<div class="success">
<h1> Background Access Revoked</h1>
<p>Your refresh token has been deleted successfully.</p>
<p>Browser session remains active.</p>
<p>Redirecting back to user page...</p>
</div>
</body>
</html>
"""
content=template.render(
success_title="✓ Background Access Revoked",
success_messages=[
"Your refresh token has been deleted successfully.",
"Browser session remains active.",
],
redirect_url=user_page_url,
redirect_delay=2,
)
)
except Exception as e:
logger.error(f"Failed to revoke background access: {e}")
template = _jinja_env.get_template("error.html")
return HTMLResponse(
f"""
<!DOCTYPE html>
<html>
<head><title>Error</title></head>
<body>
<h1>Error</h1>
<p>Failed to revoke background access: {e}</p>
</body>
</html>
""",
content=template.render(
error_title="Error",
error_message=f"Failed to revoke background access: {e}",
),
status_code=500,
)
+147 -36
View File
@@ -1,13 +1,14 @@
"""Vector visualization routes for testing search algorithms.
Provides a web UI for users to test different search algorithms on their own
indexed documents and visualize results in 2D space using PCA.
indexed documents and visualize results in 3D space using PCA.
All processing happens server-side following ADR-012:
- Search execution via shared search/algorithms.py
- PCA dimensionality reduction (768-dim 2D)
- Only 2D coordinates + metadata sent to client
- Bandwidth-efficient (2 floats per doc vs 768)
- Query embedding generation
- PCA dimensionality reduction (768-dim 3D)
- Only 3D coordinates + metadata sent to client
- Bandwidth-efficient (3 floats per doc vs 768)
"""
import logging
@@ -77,19 +78,20 @@ async def vector_visualization_html(request: Request) -> HTMLResponse:
@requires("authenticated", redirect="oauth_login")
async def vector_visualization_search(request: Request) -> JSONResponse:
"""Execute server-side search and return 2D coordinates + results.
"""Execute server-side search and return 3D coordinates + results.
All processing happens server-side:
1. Execute search via shared algorithm module
2. Fetch matching vectors from Qdrant
3. Apply PCA reduction (768-dim 2D)
4. Return coordinates + metadata only
2. Generate query embedding
3. Fetch matching vectors from Qdrant
4. Apply PCA reduction (768-dim 3D) to query + documents
5. Return coordinates + metadata only
Args:
request: Starlette request with query parameters
Returns:
JSON response with coordinates_2d and results
JSON response with coordinates_3d and results (including query point)
"""
settings = get_settings()
@@ -209,7 +211,8 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
{
"success": True,
"results": [],
"coordinates_2d": [],
"coordinates_3d": [],
"query_coords": None,
"message": "No results found",
}
)
@@ -253,7 +256,7 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
}
)
# Extract dense vectors (handle both named and unnamed vectors)
# Extract dense vectors and group by document
def extract_dense_vector(point):
if point.vector is None:
return None
@@ -263,13 +266,21 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
# If unnamed vector (array), use directly
return point.vector
vectors = np.array(
[v for v in (extract_dense_vector(p) for p in points) if v is not None]
)
# Group chunk vectors by doc_id
from collections import defaultdict
doc_chunks = defaultdict(list)
for point in points:
if point.payload:
doc_id = int(point.payload.get("doc_id", 0))
vector = extract_dense_vector(point)
if vector is not None:
doc_chunks[doc_id].append(vector)
vector_fetch_duration = time.perf_counter() - vector_fetch_start
if len(vectors) < 2:
# Not enough points for PCA
if len(doc_chunks) < 2:
# Not enough documents for PCA
return JSONResponse(
{
"success": True,
@@ -283,35 +294,131 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
}
for r in search_results
],
"coordinates_2d": [[0, 0]] * len(search_results),
"message": "Not enough vectors for PCA",
"coordinates_3d": [[0, 0, 0]] * len(search_results),
"query_coords": [0, 0, 0],
"message": "Not enough documents for PCA",
}
)
# Apply PCA dimensionality reduction (768-dim → 2D)
# Detect embedding dimension from first available vector
embedding_dim = None
for chunks in doc_chunks.values():
if chunks:
embedding_dim = len(chunks[0])
break
if embedding_dim is None:
return JSONResponse(
{
"success": False,
"error": "Could not determine embedding dimension",
},
status_code=500,
)
logger.info(f"Detected embedding dimension: {embedding_dim}")
# Average chunk vectors per document to create document-level embeddings
# Maintain order of search_results for coordinate mapping
doc_vectors = []
for result in search_results:
if result.id in doc_chunks:
# Average all chunk embeddings for this document
chunk_vectors = np.array(doc_chunks[result.id])
avg_vector = np.mean(chunk_vectors, axis=0)
doc_vectors.append(avg_vector)
logger.debug(f"Doc {result.id}: averaged {len(chunk_vectors)} chunks")
else:
# Document not found in vectors (shouldn't happen)
logger.warning(f"Doc {result.id} not found in fetched vectors")
# Use zero vector as fallback with detected dimension
doc_vectors.append(np.zeros(embedding_dim))
doc_vectors = np.array(doc_vectors)
# Generate query embedding for visualization
query_embed_start = time.perf_counter()
from nextcloud_mcp_server.embedding.service import get_embedding_service
embedding_service = get_embedding_service()
query_embedding = await embedding_service.embed(query)
query_embed_duration = time.perf_counter() - query_embed_start
logger.info(f"Generated query embedding (dimension={len(query_embedding)})")
# Combine query vector with document vectors for PCA
# Query will be the last point in the array
all_vectors = np.vstack([doc_vectors, np.array([query_embedding])])
# Normalize vectors to unit length (L2 normalization)
# This is critical because Qdrant uses COSINE distance, which only measures
# vector direction (angle), not magnitude. PCA uses Euclidean distance which
# considers both direction and magnitude. By normalizing to unit length,
# Euclidean distances in PCA space will match cosine distances.
norms = np.linalg.norm(all_vectors, axis=1, keepdims=True)
# Check for zero-norm vectors (can happen with empty/corrupted embeddings)
zero_norm_mask = norms[:, 0] < 1e-10
if zero_norm_mask.any():
zero_indices = np.where(zero_norm_mask)[0]
logger.warning(
f"Found {zero_norm_mask.sum()} zero-norm vectors at indices {zero_indices.tolist()}. "
"Replacing with small epsilon to avoid division by zero."
)
# Replace zero norms with small epsilon to avoid NaN
norms[zero_norm_mask] = 1e-10
all_vectors_normalized = all_vectors / norms
logger.info(
f"Normalized vectors: query_norm={norms[-1][0]:.3f}, "
f"doc_norm_range=[{norms[:-1].min():.3f}, {norms[:-1].max():.3f}]"
)
# Apply PCA dimensionality reduction (768-dim → 3D) on normalized vectors
pca_start = time.perf_counter()
pca = PCA(n_components=2)
coords_2d = pca.fit_transform(vectors)
pca = PCA(n_components=3)
coords_3d = pca.fit_transform(all_vectors_normalized)
pca_duration = time.perf_counter() - pca_start
# After fit, these attributes are guaranteed to be set
assert pca.explained_variance_ratio_ is not None
logger.info(
f"PCA explained variance: PC1={pca.explained_variance_ratio_[0]:.3f}, "
f"PC2={pca.explained_variance_ratio_[1]:.3f}"
# Check for NaN values in PCA output (numerical instability)
nan_mask = np.isnan(coords_3d)
if nan_mask.any():
nan_rows = np.where(nan_mask.any(axis=1))[0]
logger.error(
f"Found NaN values in PCA output at {len(nan_rows)} points: {nan_rows.tolist()[:10]}. "
"Replacing NaN with 0.0 to prevent JSON serialization error."
)
# Replace NaN with 0 to allow JSON serialization
coords_3d = np.nan_to_num(coords_3d, nan=0.0)
# Split query coords from document coords
# Round to 2 decimal places for cleaner display
query_coords_3d = [
round(float(x), 2) for x in coords_3d[-1]
] # Last point is query
doc_coords_3d = coords_3d[:-1] # All but last are documents
total_chunks = sum(len(chunks) for chunks in doc_chunks.values())
avg_chunks_per_doc = (
total_chunks / len(doc_vectors) if doc_vectors.size > 0 else 0
)
# Map results to coordinates (use first chunk per document)
result_coords = []
seen_doc_ids = set()
logger.info(
f"PCA explained variance: PC1={pca.explained_variance_ratio_[0]:.3f}, "
f"PC2={pca.explained_variance_ratio_[1]:.3f}, "
f"PC3={pca.explained_variance_ratio_[2]:.3f}"
)
logger.info(
f"Embedding stats: documents={len(doc_vectors)}, "
f"total_chunks={total_chunks}, avg_chunks_per_doc={avg_chunks_per_doc:.1f}, "
f"query_dim={len(query_embedding)}, doc_vector_dim={doc_vectors.shape[1] if doc_vectors.size > 0 else 0}"
)
for point, coord in zip(points, coords_2d):
if point.payload:
doc_id = int(point.payload.get("doc_id", 0))
if doc_id not in seen_doc_ids and doc_id in doc_ids:
seen_doc_ids.add(doc_id)
result_coords.append(coord.tolist())
# Coordinates already match search_results order (1:1 mapping)
result_coords = [[round(float(x), 2) for x in coord] for coord in doc_coords_3d]
# Build response
response_results = [
@@ -338,26 +445,30 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
f"Viz search timing: total={total_duration * 1000:.1f}ms, "
f"search={search_duration * 1000:.1f}ms ({search_duration / total_duration * 100:.1f}%), "
f"vector_fetch={vector_fetch_duration * 1000:.1f}ms ({vector_fetch_duration / total_duration * 100:.1f}%), "
f"query_embed={query_embed_duration * 1000:.1f}ms ({query_embed_duration / total_duration * 100:.1f}%), "
f"pca={pca_duration * 1000:.1f}ms ({pca_duration / total_duration * 100:.1f}%), "
f"results={len(search_results)}, vectors={len(vectors)}"
f"results={len(search_results)}, doc_vectors={len(doc_vectors)}"
)
return JSONResponse(
{
"success": True,
"results": response_results,
"coordinates_2d": result_coords[: len(search_results)],
"coordinates_3d": result_coords[: len(search_results)],
"query_coords": query_coords_3d,
"pca_variance": {
"pc1": float(pca.explained_variance_ratio_[0]),
"pc2": float(pca.explained_variance_ratio_[1]),
"pc3": float(pca.explained_variance_ratio_[2]),
},
"timing": {
"total_ms": round(total_duration * 1000, 2),
"search_ms": round(search_duration * 1000, 2),
"vector_fetch_ms": round(vector_fetch_duration * 1000, 2),
"query_embed_ms": round(query_embed_duration * 1000, 2),
"pca_ms": round(pca_duration * 1000, 2),
"num_results": len(search_results),
"num_vectors": len(vectors),
"num_doc_vectors": len(doc_vectors),
},
}
)
+18 -19
View File
@@ -3,7 +3,7 @@
import logging
from dataclasses import dataclass
from langchain_text_splitters import MarkdownTextSplitter
from langchain_text_splitters import RecursiveCharacterTextSplitter
logger = logging.getLogger(__name__)
@@ -20,9 +20,9 @@ class ChunkWithPosition:
class DocumentChunker:
"""Chunk large documents for optimal embedding using LangChain text splitters.
Uses MarkdownTextSplitter which is optimized for Markdown content like
Nextcloud Notes. Respects markdown structure (headers, code blocks, lists)
while maintaining semantic boundaries.
Uses RecursiveCharacterTextSplitter which preserves semantic boundaries
by splitting on sentence and paragraph boundaries before resorting to
character-level splitting.
"""
def __init__(self, chunk_size: int = 2048, overlap: int = 200):
@@ -36,15 +36,14 @@ class DocumentChunker:
self.chunk_size = chunk_size
self.overlap = overlap
# Initialize LangChain MarkdownTextSplitter
# Optimized for Markdown content with special handling for:
# - Headers (# ## ###)
# - Code blocks (``` ```)
# - Lists (- * 1.)
# - Horizontal rules (---)
# - Paragraphs and sentences
# This preserves both markdown structure and semantic boundaries
self.splitter = MarkdownTextSplitter(
# Initialize LangChain RecursiveCharacterTextSplitter
# Uses hierarchical splitting to preserve semantic boundaries:
# - Paragraphs (\n\n)
# - Sentences (. ! ?)
# - Words (spaces)
# - Characters (last resort)
# This prevents mid-sentence splitting while maintaining semantic coherence
self.splitter = RecursiveCharacterTextSplitter(
chunk_size=chunk_size,
chunk_overlap=overlap,
add_start_index=True, # Enable position tracking
@@ -55,14 +54,14 @@ class DocumentChunker:
"""
Split text into overlapping chunks with position tracking.
Uses LangChain's MarkdownTextSplitter to create chunks that respect
both markdown structure and semantic boundaries. Optimized for Nextcloud
Notes content with special handling for headers, code blocks, lists, etc.
Preserves character positions for each chunk to enable precise document
retrieval.
Uses LangChain's RecursiveCharacterTextSplitter to create chunks that
preserve semantic boundaries by splitting at paragraphs and sentences
before resorting to word or character-level splitting. This ensures
sentences are kept intact. Preserves character positions for each chunk
to enable precise document retrieval.
Args:
content: Markdown text content to chunk
content: Text content to chunk
Returns:
List of chunks with their character positions in the original content
+1 -1
View File
@@ -1,6 +1,6 @@
[project]
name = "nextcloud-mcp-server"
version = "0.43.0"
version = "0.44.0"
description = "Model Context Protocol (MCP) server for Nextcloud integration - enables AI assistants to interact with Nextcloud data"
authors = [
{name = "Chris Coutinho", email = "chris@coutinho.io"}
+8 -8
View File
@@ -159,8 +159,8 @@ class TestChunkConfigValidation:
def test_default_chunk_settings(self):
"""Test default chunk size and overlap values."""
settings = Settings()
assert settings.document_chunk_size == 512
assert settings.document_chunk_overlap == 50
assert settings.document_chunk_size == 2048
assert settings.document_chunk_overlap == 200
def test_valid_chunk_settings(self):
"""Test valid chunk size and overlap configuration."""
@@ -205,7 +205,7 @@ class TestChunkConfigValidation:
)
def test_small_chunk_size_warning(self, caplog):
"""Test that chunk size < 100 triggers warning."""
"""Test that chunk size < 512 triggers warning."""
import logging
caplog.set_level(logging.WARNING, logger="nextcloud_mcp_server.config")
@@ -214,19 +214,19 @@ class TestChunkConfigValidation:
document_chunk_overlap=10,
)
assert (
"DOCUMENT_CHUNK_SIZE is set to 64 words, which is quite small"
"DOCUMENT_CHUNK_SIZE is set to 64 characters, which is quite small"
in caplog.text
)
assert "Consider using at least 256 words" in caplog.text
assert "Consider using at least 1024 characters" in caplog.text
def test_reasonable_chunk_size_no_warning(self, caplog):
"""Test that chunk size >= 100 doesn't trigger warning."""
"""Test that chunk size >= 512 doesn't trigger warning."""
import logging
caplog.set_level(logging.WARNING, logger="nextcloud_mcp_server.config")
Settings(
document_chunk_size=256,
document_chunk_overlap=25,
document_chunk_size=1024,
document_chunk_overlap=100,
)
assert "DOCUMENT_CHUNK_SIZE" not in caplog.text
Generated
+1 -1
View File
@@ -1927,7 +1927,7 @@ wheels = [
[[package]]
name = "nextcloud-mcp-server"
version = "0.43.0"
version = "0.44.0"
source = { editable = "." }
dependencies = [
{ name = "aiosqlite" },