Fix OOM : heap 4 GB + LRU plafonne par taille (entry 300 MB, search 100 MB)

routes/api.js

@@ -18,12 +18,34 @@ import { parseQuery } from '../lib/queryParser.js';
 import { search as runSearch } from '../lib/searchEngine.js';
 import { filterAndLower } from '../lib/titleFilter.js';
 
-const searchCache = new LRUCache({ max: 1000, ttl: 1000 * 60 * 60 });
+// Rough byte size of a cached value. Strings + numbers + nested objects via
+// JSON length — good enough for cap enforcement, fast (no deep walk).
+const sizeOf = (v) => {
+  if (v == null) return 8;
+  try {
+    return JSON.stringify(v).length;
+  } catch {
+    return 1024;
+  }
+};
+
+const searchCache = new LRUCache({
+  max: 1000,
+  maxSize: 100 * 1024 * 1024, // 100 MB
+  sizeCalculation: sizeOf,
+  ttl: 1000 * 60 * 60,
+});
 
 // Entry cache covers movie/tv/imdb/providers responses. Keeps hot files in RAM
 // so repeat lookups skip disk + JSON.parse. TTL 30 min (cron may rewrite
 // underlying detail file via /changes — 30 min keeps staleness bounded).
-const entryCache = new LRUCache({ max: 5000, ttl: 1000 * 60 * 30 });
+// Capped at 300 MB to avoid OOM (TMDB tv detail can hit 500 KB each).
+const entryCache = new LRUCache({
+  max: 2000,
+  maxSize: 300 * 1024 * 1024, // 300 MB
+  sizeCalculation: sizeOf,
+  ttl: 1000 * 60 * 30,
+});
 
 async function getDetail(type, id) {
   const key = `d:${type}:${id}`;