Files
ra-h-os/app/api/nodes/route.ts
T
“BeeRad” 733d1c3407 Initial commit: RA-H Open Source Edition
Local-first knowledge management system with BYO API keys.

Features:
- 3-panel UI (Nodes | Focus | Helpers)
- SQLite + sqlite-vec for vector search
- Agent system (Easy/Hard mode orchestrators)
- Content extraction (YouTube, PDF, web)
- Integrate workflow for connection discovery
- Dimension system with auto-assignment

Tech stack:
- Next.js 15 + TypeScript + Tailwind CSS
- Anthropic (Claude) + OpenAI (GPT) via Vercel AI SDK

Setup:
  npm install && npm rebuild better-sqlite3
  scripts/dev/bootstrap-local.sh
  npm run dev

MIT License
2025-12-15 16:14:28 +11:00

118 lines
3.9 KiB
TypeScript

import { NextRequest, NextResponse } from 'next/server';
import { nodeService } from '@/services/database';
import { Node, NodeFilters } from '@/types/database';
import { autoEmbedQueue } from '@/services/embedding/autoEmbedQueue';
import { hasSufficientContent } from '@/services/embedding/constants';
import { DimensionService } from '@/services/database/dimensionService';
export const runtime = 'nodejs';
export async function GET(request: NextRequest) {
try {
const searchParams = request.nextUrl.searchParams;
const filters: NodeFilters = {
search: searchParams.get('search') || undefined,
limit: searchParams.get('limit') ? parseInt(searchParams.get('limit')!) : 100,
offset: searchParams.get('offset') ? parseInt(searchParams.get('offset')!) : 0
};
// Handle dimensions parameter (comma-separated)
const dimensionsParam = searchParams.get('dimensions');
if (dimensionsParam) {
filters.dimensions = dimensionsParam.split(',').map(dim => dim.trim()).filter(Boolean);
}
// Handle sortBy parameter
const sortByParam = searchParams.get('sortBy');
if (sortByParam === 'edges' || sortByParam === 'updated') {
filters.sortBy = sortByParam;
}
const nodes = await nodeService.getNodes(filters);
return NextResponse.json({
success: true,
data: nodes,
count: nodes.length
});
} catch (error) {
console.error('Error fetching nodes:', error);
return NextResponse.json({
success: false,
error: error instanceof Error ? error.message : 'Failed to fetch nodes'
}, { status: 500 });
}
}
export async function POST(request: NextRequest) {
try {
const body = await request.json();
// Validate required fields
if (!body.title) {
return NextResponse.json({
success: false,
error: 'Missing required field: title is required'
}, { status: 400 });
}
const rawContent = typeof body.content === 'string' ? body.content : null;
const providedDimensions = Array.isArray(body.dimensions) ? body.dimensions : [];
const trimmedProvidedDimensions = providedDimensions
.map((dim: unknown) => typeof dim === 'string' ? dim.trim() : '')
.filter(Boolean)
.slice(0, 5);
// Auto-assign locked dimensions for all new nodes
const autoAssignedDimensions = await DimensionService.assignLockedDimensions({
title: body.title,
content: rawContent || undefined,
link: body.link
});
// Combine provided and auto-assigned dimensions, remove duplicates
const finalDimensions = [...new Set([...trimmedProvidedDimensions, ...autoAssignedDimensions])]
.slice(0, 5); // Ensure we don't exceed 5 total dimensions
const rawChunk = typeof body.chunk === 'string' ? body.chunk : null;
let chunkToStore = rawChunk;
let chunkStatus: Node['chunk_status'];
if (chunkToStore && chunkToStore.trim().length > 0) {
chunkStatus = 'not_chunked';
} else if (!chunkToStore && hasSufficientContent(rawContent)) {
chunkToStore = rawContent;
chunkStatus = 'not_chunked';
}
const node = await nodeService.createNode({
title: body.title,
content: rawContent ?? undefined,
link: body.link,
dimensions: finalDimensions,
chunk: chunkToStore ?? undefined,
chunk_status: chunkStatus,
metadata: body.metadata || {}
});
if (chunkStatus === 'not_chunked' && node.id) {
autoEmbedQueue.enqueue(node.id, { reason: 'node_created' });
}
return NextResponse.json({
success: true,
data: node,
message: `Node created successfully with dimensions: ${finalDimensions.join(', ')}`
}, { status: 201 });
} catch (error) {
console.error('Error creating node:', error);
return NextResponse.json({
success: false,
error: error instanceof Error ? error.message : 'Failed to create node'
}, { status: 500 });
}
}