feat(vector-viz): add news_item support for links and chunk expansion

Add support for news_item document type in the vector visualization page:

- Add "News" checkbox to document type filter options
- Add URL handler to link news items to /apps/news/item/{id}
- Add content fetching for news items in chunk context expansion

This enables users to search and view news articles in the vector
visualization, with clickable links back to Nextcloud News and the
ability to expand chunks to see full article context.

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

nextcloud_mcp_server/auth/static/vector-viz.js

@@ -203,6 +203,8 @@ function vizApp() {
                     return `${baseUrl}/apps/contacts`;
                 case 'deck':
                     return `${baseUrl}/apps/deck`;
+                case 'news_item':
+                    return `${baseUrl}/apps/news/item/${result.id}`;
                 default:
                     return `${baseUrl}`;
             }

nextcloud_mcp_server/auth/templates/vector_viz.html

@@ -68,6 +68,10 @@
                                     <input type="checkbox" x-model="docTypes" value="deck" style="margin-right: 4px;">
                                     <span>Deck</span>
                                 </label>
+                                <label style="display: flex; align-items: center; cursor: pointer; font-weight: normal;">
+                                    <input type="checkbox" x-model="docTypes" value="news_item" style="margin-right: 4px;">
+                                    <span>News</span>
+                                </label>
                             </div>
                         </div>
 

nextcloud_mcp_server/search/context.py

@@ -524,6 +524,26 @@ async def _fetch_document_text(
                     f"Error fetching file content for {doc_id}: {e}", exc_info=True
                 )
                 return None
+        elif doc_type == "news_item":
+            # Fetch news item by ID
+            from nextcloud_mcp_server.vector.html_processor import html_to_markdown
+
+            item = await nc_client.news.get_item(int(doc_id))
+            # Reconstruct full content as indexed: title + source + URL + body
+            # This ensures chunk offsets align with indexed content structure
+            body_markdown = html_to_markdown(item.get("body", ""))
+            item_title = item.get("title", "")
+            item_url = item.get("url", "")
+            feed_title = item.get("feedTitle", "")
+
+            content_parts = [item_title]
+            if feed_title:
+                content_parts.append(f"Source: {feed_title}")
+            if item_url:
+                content_parts.append(f"URL: {item_url}")
+            content_parts.append("")  # Blank line
+            content_parts.append(body_markdown)
+            return "\n".join(content_parts)
         else:
             logger.warning(f"Unsupported doc_type for context expansion: {doc_type}")
             return None