feat: interview review module with whisper.cpp ASR + AI analysis + frontend page

New backend module 'interview-review' provides:
- Audio upload (50MB limit, MP3/M4A/WAV/AAC/OGG/MP4/WebM)
- Text transcript submission
- whisper.cpp local ASR integration (tiny + base models)
- AI analysis (4-dimension scoring: logic/expression/professionalism/stability)
- Speech analysis (filler words detection, pace, duration)
- Async processing pipeline with status polling
- Graceful fallback to mock ASR when whisper unavailable

New frontend page 'pages/review/review.vue' with 3 modes:
- List mode: review history with status indicators
- Upload mode: audio file upload or text paste
- Report mode: score radar, dimension bars, analysis details

Docs updated: PROJECT-STATUS.md v4.4, FEATURE-LIST.md v4.2, ROADMAP.md v4.2

zhiyin-app/src/services/api.ts

@@ -22,7 +22,6 @@ async function request<T = any>(url: string, method: string = 'POST', data?: any
   }
 }
 
-export const apiService = {
   user: {
     sendCode: (phone: string) => request(API_ENDPOINTS.USER.SEND_CODE, 'POST', { phone }),
     login: (phone: string, code: string) => request(API_ENDPOINTS.USER.LOGIN, 'POST', { phone, code }),
@@ -90,6 +89,15 @@ export const apiService = {
     records: () => request(API_ENDPOINTS.SHARE.RECORDS, 'GET', undefined, true),
     visitors: () => request(API_ENDPOINTS.SHARE.VISITORS, 'GET', undefined, true),
   },
+
+  review: {
+    list: (page = 1, limit = 20) =>
+      request(`${API_ENDPOINTS.REVIEW.LIST}?page=${page}&limit=${limit}`, "GET", undefined, true),
+    detail: (id: string) => request(API_ENDPOINTS.REVIEW.DETAIL(id), "GET", undefined, true),
+    delete: (id: string) => request(API_ENDPOINTS.REVIEW.DELETE(id), "DELETE", undefined, true),
+    submitText: (position: string, text: string, company?: string) =>
+      request(API_ENDPOINTS.REVIEW.TEXT, "POST", { position, text, company: company || "" }, true),
+  },
 }
 
 export default apiService