新功能：个性化推荐算法

client/src/services/recoApi.ts

@@ -0,0 +1,63 @@
+import i18n from 'i18next';
+
+import { API_BASE_URL } from '@/src/constants/env';
+import type { UserProfileV1_2 } from '@/src/features/userProfileScoring';
+
+export type RecommendedItem = {
+  content_id: number;
+  text: string;
+  final_score: number;
+  fallback_level_final: number;
+  explanations?: Record<string, unknown> | null;
+};
+
+export type RecoMeta = Record<string, unknown>;
+
+export type RecoEngineResult = {
+  items: RecommendedItem[];
+  meta: RecoMeta;
+};
+
+export type RecoRequest = {
+  k?: number;
+  user_profile: UserProfileV1_2;
+  already_recommended_ids?: Array<string | number>;
+  touched_or_viewed_ids?: Array<string | number>;
+  now?: string; // ISO8601（可选）
+};
+
+function withTimeout(ms: number): AbortController {
+  const controller = new AbortController();
+  setTimeout(() => controller.abort(), ms);
+  return controller;
+}
+
+export async function fetchRecoFeed(req: RecoRequest): Promise<RecoEngineResult> {
+  const controller = withTimeout(12_000);
+  const url = `${API_BASE_URL}/v1/reco/feed`;
+
+  const res = await fetch(url, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      // 让后端做 locale 选择（目前后端只区分 en/tc）
+      'Accept-Language': i18n.language || 'en',
+    },
+    body: JSON.stringify({
+      k: req.k,
+      user_profile: req.user_profile,
+      already_recommended_ids: req.already_recommended_ids ?? [],
+      touched_or_viewed_ids: req.touched_or_viewed_ids ?? [],
+      now: req.now,
+    }),
+    signal: controller.signal,
+  });
+
+  if (!res.ok) {
+    const text = await res.text().catch(() => '');
+    throw new Error(`推荐接口请求失败：${res.status} ${res.statusText} ${text}`.trim());
+  }
+
+  return (await res.json()) as RecoEngineResult;
+}
+