Files
Momento/memento-note/app/api/ai/test-embeddings/route.ts
Sepehr Ramezani aa6a214f37 feat: rename keep-notes to memento-note, migrate to PostgreSQL, fix MCP bugs
- Rename directory keep-notes -> memento-note with all code references
- Prisma: SQLite -> PostgreSQL (both app and MCP server schemas)
- Sync MCP schema with main app (add missing fields, relations, indexes)
- Delete 17 SQLite migrations (clean slate for PostgreSQL)
- Remove SQLite dependencies (@libsql/client, better-sqlite3, etc.)
- Fix MCP server: hardcoded Windows DB paths -> DATABASE_URL env var
- Fix MCP server: .dockerignore excluded index-sse.js (SSE mode broken)
- MCP Dockerfile: node:20 -> node:22
- Docker Compose: add postgres service, remove SQLite volume
- Generate favicon.ico, icon-192.png, icon-512.png, apple-icon.png
- Update layout.tsx icons and manifest.json for PNG icons
- Update all .env files for PostgreSQL
- Rewrite README.md with updated sections
- Remove mcp-server/node_modules and prisma/client-generated from git tracking

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-04-20 20:58:04 +02:00

91 lines
2.8 KiB
TypeScript

import { NextRequest, NextResponse } from 'next/server'
import { getEmbeddingsProvider } from '@/lib/ai/factory'
import { getSystemConfig } from '@/lib/config'
function getProviderDetails(config: Record<string, string>, providerType: string) {
const provider = providerType.toLowerCase()
switch (provider) {
case 'ollama':
return {
provider: 'Ollama',
baseUrl: config.OLLAMA_BASE_URL || 'http://localhost:11434',
model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest'
}
case 'openai':
return {
provider: 'OpenAI',
baseUrl: 'https://api.openai.com/v1',
model: config.AI_MODEL_EMBEDDING || 'text-embedding-3-small'
}
case 'custom':
return {
provider: 'Custom OpenAI',
baseUrl: config.CUSTOM_OPENAI_BASE_URL || 'Not configured',
model: config.AI_MODEL_EMBEDDING || 'text-embedding-3-small'
}
default:
return {
provider: provider,
baseUrl: 'unknown',
model: config.AI_MODEL_EMBEDDING || 'unknown'
}
}
}
export async function POST(request: NextRequest) {
try {
const config = await getSystemConfig()
const provider = getEmbeddingsProvider(config)
const testText = 'test'
const startTime = Date.now()
const embeddings = await provider.getEmbeddings(testText)
const endTime = Date.now()
if (!embeddings || embeddings.length === 0) {
const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
const details = getProviderDetails(config, providerType)
return NextResponse.json(
{
success: false,
error: 'No embeddings returned',
provider: providerType,
model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest',
details
},
{ status: 500 }
)
}
const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
const details = getProviderDetails(config, providerType)
return NextResponse.json({
success: true,
provider: providerType,
model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest',
embeddingLength: embeddings.length,
firstValues: embeddings.slice(0, 5),
responseTime: endTime - startTime,
details
})
} catch (error: any) {
const config = await getSystemConfig()
const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
const details = getProviderDetails(config, providerType)
return NextResponse.json(
{
success: false,
error: error.message || 'Unknown error',
provider: providerType,
model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest',
details,
stack: process.env.NODE_ENV === 'development' ? error.stack : undefined
},
{ status: 500 }
)
}
}