Files
sugarr/test/app/controllers/RecommendationsController.test.ts
Fran Jurmanović e47c57b50d Group pipeline runs into Langfuse sessions, tagged by trigger source
Each pipeline invocation (runAsync/searchAsync) now gets a fresh
sessionId, wrapped via the new Tracer.runWithSession() (implemented
with @langfuse/tracing's propagateAttributes, since v5 has no direct
sessionId/tags option on startObservation) so it shows up in
Langfuse's Sessions view. The session is also tagged with what
triggered the run: "cron", "api-list", "api-trigger", "api-search".

Verified: full test suite (79/79) passing, tsc/eslint clean, real
docker compose build + container smoke test against /health.
2026-08-12 22:51:17 +02:00

81 lines
4.0 KiB
TypeScript

import { describe, expect, it, vi } from 'vitest';
import Fastify from 'fastify';
import { RecommendationsController } from '../../../src/app/controllers/RecommendationsController';
import type { AppConfig } from '../../../src/app/config/AppConfig';
import type { RecommendationPipeline } from '../../../src/app/pipelines/RecommendationPipeline';
function makeApp(config: Partial<AppConfig>, pipeline: Partial<RecommendationPipeline>) {
const app = Fastify();
new RecommendationsController(config as AppConfig, pipeline as RecommendationPipeline).register(app);
return app;
}
describe('RecommendationsController', () => {
it('GET /recommendations runs the pipeline with the configured count and LLM flag', async () => {
const runAsync = vi.fn().mockResolvedValue([{ title: 'Dune', year: 2021, tmdbId: 1, reason: 'r' }]);
const app = makeApp({ RECOMMEND_COUNT: 10, LLM_ENABLED: true }, { runAsync } as unknown as RecommendationPipeline);
const res = await app.inject({ method: 'GET', url: '/recommendations' });
expect(res.statusCode).toBe(200);
expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true }, { trigger: 'api-list' });
});
it('GET /recommendations?count= and force_llm/force_tmdb override config', async () => {
const runAsync = vi.fn().mockResolvedValue([]);
const app = makeApp({ RECOMMEND_COUNT: 10, LLM_ENABLED: false }, { runAsync } as unknown as RecommendationPipeline);
await app.inject({ method: 'GET', url: '/recommendations?count=3&force_llm=true' });
expect(runAsync).toHaveBeenCalledWith({ count: 3, useLlm: true }, { trigger: 'api-list' });
});
it('falls back to the configured count for a malformed or non-positive count query param', async () => {
const runAsync = vi.fn().mockResolvedValue([]);
const app = makeApp({ RECOMMEND_COUNT: 10, LLM_ENABLED: true }, { runAsync } as unknown as RecommendationPipeline);
await app.inject({ method: 'GET', url: '/recommendations?count=abc' });
expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true }, { trigger: 'api-list' });
await app.inject({ method: 'GET', url: '/recommendations?count=-5' });
expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true }, { trigger: 'api-list' });
await app.inject({ method: 'GET', url: '/recommendations?count=0' });
expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true }, { trigger: 'api-list' });
});
it('POST /recommendations/trigger auto-requests via Radarr when enabled', async () => {
const recs = [{ title: 'Dune', year: 2021, tmdbId: 1, reason: 'r' }];
const runAsync = vi.fn().mockResolvedValue(recs);
const autoRequest = vi.fn().mockResolvedValue(undefined);
const app = makeApp(
{ RECOMMEND_COUNT: 10, LLM_ENABLED: true, RADARR_ENABLED: true },
{ runAsync, autoRequest } as unknown as RecommendationPipeline
);
const res = await app.inject({ method: 'POST', url: '/recommendations/trigger' });
expect(res.statusCode).toBe(200);
expect(autoRequest).toHaveBeenCalledWith(recs);
});
it('POST /recommendations/search requires LLM to be enabled and a query body', async () => {
const app = makeApp({ LLM_ENABLED: false }, {} as RecommendationPipeline);
const res = await app.inject({ method: 'POST', url: '/recommendations/search', payload: { query: 'x' } });
expect(res.statusCode).toBe(400);
});
it('POST /recommendations/search runs pipeline.searchAsync and returns results', async () => {
const searchAsync = vi.fn().mockResolvedValue([{ title: 'Dune', year: 2021, tmdbId: 1, reason: 'r' }]);
const app = makeApp(
{ LLM_ENABLED: true, RECOMMEND_COUNT: 10 },
{ searchAsync } as unknown as RecommendationPipeline
);
const res = await app.inject({
method: 'POST',
url: '/recommendations/search',
payload: { query: 'sci-fi like Blade Runner' },
});
expect(res.statusCode).toBe(200);
expect(searchAsync).toHaveBeenCalledWith('sci-fi like Blade Runner', 10, 'api-search');
});
});