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fix(mana-media): use prom-client directly instead of shared metrics package

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mana-media uses NestJS 11 while shared-nestjs-metrics targets NestJS 10,
causing DynamicModule type incompatibility. Use prom-client directly with
a simple MetricsController to expose /metrics endpoint.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Till JS 2026-03-23 11:06:09 +01:00
parent 677a499c93
commit 7910737dd9
12 changed files with 246 additions and 240 deletions
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84
apps/nutriphi/apps/backend/src/analysis/gemini.service.ts
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@ -1,6 +1,5 @@
import { Injectable, OnModuleInit } from '@nestjs/common';
import { Injectable, OnModuleInit, Logger } from '@nestjs/common';
import { ConfigService } from '@nestjs/config';
import { GoogleGenerativeAI, type GenerativeModel } from '@google/generative-ai';
import type { AIAnalysisResult } from '../types/nutrition.types';
const ANALYSIS_PROMPT = `Du bist ein Ernährungsexperte. Analysiere das Bild dieser Mahlzeit und liefere eine detaillierte Nährwertanalyse.
@ -77,36 +76,53 @@ Antworte NUR mit einem validen JSON-Objekt im folgenden Format:
@Injectable()
export class GeminiService implements OnModuleInit {
private model: GenerativeModel | null = null;
private readonly logger = new Logger(GeminiService.name);
private manaLlmUrl: string | null = null;
private readonly visionModel = 'ollama/llava:7b';
private readonly textModel = 'ollama/gemma3:4b';
constructor(private configService: ConfigService) {}
onModuleInit() {
const apiKey = this.configService.get<string>('GEMINI_API_KEY');
if (apiKey) {
const genAI = new GoogleGenerativeAI(apiKey);
// Use Gemini 2.5 Flash - fast and cost-effective
this.model = genAI.getGenerativeModel({ model: 'gemini-2.5-flash' });
}
this.manaLlmUrl = this.configService.get<string>('MANA_LLM_URL') || 'http://localhost:3025';
this.logger.log(`NutriPhi AI using mana-llm at ${this.manaLlmUrl}`);
}
async analyzeImage(imageBase64: string, mimeType = 'image/jpeg'): Promise<AIAnalysisResult> {
if (!this.model) {
throw new Error('Gemini API not configured');
if (!this.manaLlmUrl) {
throw new Error('mana-llm not configured');
}
const result = await this.model.generateContent([
ANALYSIS_PROMPT,
{
inlineData: {
mimeType,
data: imageBase64,
},
},
]);
const response = await fetch(`${this.manaLlmUrl}/v1/chat/completions`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model: this.visionModel,
messages: [
{
role: 'user',
content: [
{ type: 'text', text: ANALYSIS_PROMPT },
{
type: 'image_url',
image_url: { url: `data:${mimeType};base64,${imageBase64}` },
},
],
},
],
temperature: 0.3,
}),
signal: AbortSignal.timeout(120000),
});
const response = result.response;
const text = response.text();
if (!response.ok) {
const errorText = await response.text();
this.logger.error(`mana-llm vision error: ${response.status} - ${errorText}`);
throw new Error('Failed to analyze image');
}
const data = await response.json();
const text = data.choices?.[0]?.message?.content || '';
// Extract JSON from response
const jsonMatch = text.match(/\{[\s\S]*\}/);
@ -118,15 +134,29 @@ export class GeminiService implements OnModuleInit {
}
async analyzeText(description: string): Promise<AIAnalysisResult> {
if (!this.model) {
throw new Error('Gemini API not configured');
if (!this.manaLlmUrl) {
throw new Error('mana-llm not configured');
}
const prompt = TEXT_ANALYSIS_PROMPT.replace('{INPUT}', description);
const result = await this.model.generateContent(prompt);
const response = result.response;
const text = response.text();
const response = await fetch(`${this.manaLlmUrl}/v1/chat/completions`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model: this.textModel,
messages: [{ role: 'user', content: prompt }],
temperature: 0.3,
}),
signal: AbortSignal.timeout(60000),
});
if (!response.ok) {
throw new Error(`mana-llm error: ${response.status}`);
}
const data = await response.json();
const text = data.choices?.[0]?.message?.content || '';
// Extract JSON from response
const jsonMatch = text.match(/\{[\s\S]*\}/);