feat: AI 择业顾问 MVP — 专业分析 + 岗位匹配 + 多轮对话

- backend: career-advice module with analyze/chat/positions endpoints
- frontend: career.vue page with profile form, AI advice, recommendation cards
- config/api/pages/user.vue: full integration into existing flow
- docs: PROJECT-STATUS v4.5, FEATURE-LIST v4.3, ROADMAP v4.3
- AGENTS.md: updated module count and career link paths

AGENTS.md

@@ -17,10 +17,10 @@ zhiyin/
 │       │   ├── strategies/      # JwtStrategy
 │       │   ├── decorators/      # @CurrentUser, @Public()
 │       │   └── filters/         # AllExceptionsFilter
-│       └── modules/             # 19 个模块（详见下文）
+│       └── modules/             # 20 个模块（详见下文）
 ├── zhiyin-app/                  # uni-app 3.x 前端 (H5 + 微信小程序)
 │   └── src/
-│       ├── pages/               # 18 个页面 (pages.json 路由)
+│       ├── pages/               # 19 个页面 (pages.json 路由)
 │       ├── services/api.ts      # API 调用封装 (uni.request)
 │       ├── config.ts            # 端点定义 + api() 辅助函数
 │       └── App.vue              # 设计 Token + 全局样式
@@ -46,16 +46,17 @@ zhiyin/
 | `admin` | 管理后台 API |
 | `positions` | 热门岗位维护 |
 | `interview-review` | 面试复盘（音频上传 -> whisper.cpp ASR -> AI 评析 -> 口语分析） |
+|`career-advice` | AI 择业顾问：专业分析 + 岗位匹配 + 推荐对话 |
 | `upload` | 文件上传（PDF/图片） |
 | `email` | 邮件发送 |
 | `daily-question` | 每日一题 API |
 | `schemas/` | 共享 Schema（pricing 定价、site-config、company-bank 等） |
 
-### 前端页面（3 Tab + 16 子页）
+### 前端页面（3 Tab + 17 子页）
 
 - **Tab1 面试**: pages/index/index → interview → report
 - **Tab2 面经**: pages/history/history → contribute → company-bank
-- **Tab3 我的**: pages/user/user → login/member/progress/resume/review/about/agreement/privacy/admin/share
+- **Tab3 我的**: pages/user/user → login/member/progress/resume/review/career/about/agreement/privacy/admin/share
 - 其他: internship, result
 
 ---

backend/src/app.module.ts

@@ -27,6 +27,7 @@ import { TtsModule } from './modules/tts/tts.module'
 import { PricingModule } from './modules/schemas/pricing.module'
 import { ShareModule } from './modules/share/share.module'
 import { InterviewReviewModule } from './modules/interview-review/interview-review.module'
+import { CareerAdviceModule } from './modules/career-advice/career-advice.module'
 
 const MONGODB_URI = process.env.MONGODB_URI || 'mongodb://localhost:27017/zhiyin'
 
@@ -62,6 +63,7 @@ const MONGODB_URI = process.env.MONGODB_URI || 'mongodb://localhost:27017/zhiyin
     PricingModule,
     ShareModule,
     InterviewReviewModule,
+    CareerAdviceModule,
   ],
   providers: [
     JwtStrategy,

backend/src/modules/career-advice/career-advice.controller.ts

@@ -0,0 +1,37 @@
+import { Controller, Post, Get, Body } from "@nestjs/common"
+import { Public } from "../../common/decorators/public.decorator"
+import { CareerAdviceService, CareerProfile, ChatMessage } from "./career-advice.service"
+import { CurrentUser } from "../../common/decorators/current-user.decorator"
+
+@Controller("career-advice")
+export class CareerAdviceController {
+  constructor(private service: CareerAdviceService) {}
+
+  @Post("analyze")
+  async analyze(
+    @Body() profile: CareerProfile,
+    @CurrentUser("userId") userId: string,
+  ) {
+    if (!profile.major || !profile.major.trim()) {
+      return { error: "请填写你的专业" }
+    }
+    return this.service.analyze(profile)
+  }
+
+  @Post("chat")
+  async chat(
+    @Body() body: { message: string; history: ChatMessage[] },
+    @CurrentUser("userId") userId: string,
+  ) {
+    if (!body.message || !body.message.trim()) {
+      return { error: "请输入消息" }
+    }
+    return this.service.chat(body.message, body.history || [])
+  }
+
+  @Get("positions")
+  @Public()
+  async positions() {
+    return this.service.getHotPositions()
+  }
+}

backend/src/modules/career-advice/career-advice.module.ts

@@ -0,0 +1,18 @@
+import { Module } from '@nestjs/common'
+import { MongooseModule } from '@nestjs/mongoose'
+import { CareerAdviceController } from './career-advice.controller'
+import { CareerAdviceService } from './career-advice.service'
+import { HotPosition, HotPositionSchema } from '../positions/positions.schema'
+import { AiModule } from '../ai/ai.module'
+
+@Module({
+  imports: [
+    MongooseModule.forFeature([
+      { name: HotPosition.name, schema: HotPositionSchema },
+    ]),
+    AiModule,
+  ],
+  controllers: [CareerAdviceController],
+  providers: [CareerAdviceService],
+})
+export class CareerAdviceModule {}

backend/src/modules/career-advice/career-advice.service.ts

@@ -0,0 +1,163 @@
+import { Injectable, Logger } from '@nestjs/common'
+import { InjectModel } from '@nestjs/mongoose'
+import { Model } from 'mongoose'
+import { AiService } from '../ai/ai.service'
+import { HotPosition } from '../positions/positions.schema'
+
+export interface CareerProfile {
+  major: string
+  grade?: string
+  interests?: string
+  gpa?: string
+  goal?: string
+}
+
+export interface CareerPath {
+  name: string
+  reason: string
+  matchScore: number
+  salary?: string
+}
+
+export interface ChatMessage {
+  role: 'user' | 'assistant'
+  content: string
+}
+
+@Injectable()
+export class CareerAdviceService {
+  private readonly logger = new Logger(CareerAdviceService.name)
+
+  constructor(
+    @InjectModel(HotPosition.name) private positionModel: Model<HotPosition>,
+    private aiService: AiService,
+  ) {}
+
+  /**
+   * Analyze user profile and return career advice with position recommendations.
+   */
+  async analyze(profile: CareerProfile) {
+    const positions = await this.positionModel.find({ active: true })
+      .sort({ sort: 1 })
+      .lean()
+      .exec()
+
+    const positionsContext = positions.map(p =>
+      `- ${p.name}${p.salary ? ` (薪资: ${p.salary})` : ''}${p.company ? ` - ${p.company}` : ''}`
+    ).join('\n')
+
+    const systemPrompt = `你是一位资深的中国大学生职业规划顾问。你的任务是根据学生的专业背景和个人情况,给出个性化的择业建议。
+
+你的建议需要涵盖:
+1. 该专业的典型职业方向和发展路径
+2. "考研vs就业vs考公"的决策分析(基于学生具体情况)
+3. 当前就业市场的真实形势(如AI对各行业的影响)
+4. 具体可行动的建议(实习、技能提升等)
+
+你需要从以下可用岗位中,推荐最匹配该学生的3-5个方向:
+
+${positionsContext}
+
+注意:
+- 你的回答要诚恳务实,不要画大饼
+- 指出每个选择的利弊和风险
+- 结合AI时代对各行业的影响给出建议
+- 最后以JSON格式输出推荐岗位列表
+
+回复格式:
+先输出一段详细的个性化分析建议(中文,300-500字)。
+然后在最后单独一行输出JSON数组(不要任何其他内容):
+---JSON---
+[{"name":"岗位名","reason":"推荐理由简要说明","matchScore":85,"salary":"薪资范围"},...]
+---JSON---`
+
+    const userMessage = this.buildProfileMessage(profile)
+    const rawReply = await this.aiService.call({
+      systemPrompt,
+      userMessage,
+      temperature: 0.7,
+      maxTokens: 2048,
+    })
+
+    return this.parseResponse(rawReply, positions)
+  }
+
+  /**
+   * Continue a chat conversation about career choices.
+   */
+  async chat(message: string, history: ChatMessage[]) {
+    const positions = await this.positionModel.find({ active: true })
+      .sort({ sort: 1 })
+      .lean()
+      .exec()
+
+    const positionsContext = positions.map(p =>
+      `- ${p.name}${p.salary ? ` (薪资: ${p.salary})` : ''}`
+    ).join('\n')
+
+    const systemPrompt = `你是一位资深的中国大学生职业规划顾问。继续与学生的对话,回答他们的择业相关问题。
+
+可推荐的岗位列表:
+${positionsContext}
+
+注意:
+- 回答诚恳务实,结合AI时代背景
+- 给出具体可操作的建议
+- 如果学生提到具体岗位,可以从推荐列表中选择匹配的
+- 保持对话亲切自然,用中文回复`
+
+    const historyMessages = history.map(h =>
+      `${h.role === 'user' ? '学生' : '顾问'}: ${h.content}`
+    ).join('\n')
+
+    const userMessage = `对话历史:\n${historyMessages}\n\n学生最新提问: ${message}`
+
+    const reply = await this.aiService.call({
+      systemPrompt,
+      userMessage,
+      temperature: 0.7,
+      maxTokens: 1024,
+    })
+
+    return { reply }
+  }
+
+  private buildProfileMessage(profile: CareerProfile): string {
+    const parts: string[] = [`学生专业: ${profile.major}`]
+    if (profile.grade) parts.push(`年级: ${profile.grade}`)
+    if (profile.interests) parts.push(`兴趣方向: ${profile.interests}`)
+    if (profile.gpa) parts.push(`GPA/成绩: ${profile.gpa}`)
+    if (profile.goal) parts.push(`目标/困惑: ${profile.goal}`)
+    return parts.join('\n')
+  }
+
+  private parseResponse(rawReply: string, allPositions: any[]): {
+    reply: string
+    careerPaths: CareerPath[]
+  } {
+    // Extract JSON array from ---JSON--- markers
+    const jsonMatch = rawReply.match(/---JSON---\s*(\[[\s\S]*?\])\s*---JSON---/)
+    let careerPaths: CareerPath[] = []
+
+    if (jsonMatch) {
+      try {
+        careerPaths = JSON.parse(jsonMatch[1])
+      } catch {
+        this.logger.warn('Failed to parse career paths JSON')
+      }
+    }
+
+    // Clean reply (remove --JSON-- markers)
+    const reply = rawReply.replace(/---JSON---[\s\S]*?---JSON---/g, '').trim()
+
+    return { reply, careerPaths }
+  }
+
+  /** Get hot positions (delegated from positions module) */
+  async getHotPositions() {
+    return this.positionModel.find({ active: true })
+      .sort({ sort: 1 })
+      .lean()
+      .exec()
+  }
+}

docs/FEATURE-LIST.md

@@ -1,8 +1,8 @@
-# 职引 · 完整功能清单 v4.2
+# 职引 · 完整功能清单 v4.3
 
-> **版本**: v4.2
+> **版本**: v4.5
-> **日期**: 2026-06-16
+> **日期**: 2026-06-17
-> **状态**: Phase 0.5 壁垒构建完成 + 面试复盘上线
+> **状态**: Phase 1.5 启动：面试复盘 + AI 择业顾问 MVP 就绪
 > **定位**: 应届生/实习生 AI 面试教练
 
 ---
@@ -53,6 +53,17 @@
 | 无 ASR 回落 | ✅ 完成 | whisper 不可用时自动使用 mock | P1 |
 | 历史记录管理 | ✅ 完成 | 列表/详情/删除 | P0 |
 
+### 1.5 AI 择业顾问（新增）
+
+| 功能 | 状态 | 描述 | 优先级 |
+|------|------|------|--------|
+| AI 专业/兴趣/性格分析 | ✅ 完成 | 基于用户输入的学业/兴趣/性格信息，AI 生成个性化职业分析 | P0 |
+| 智能岗位匹配推荐 | ✅ 完成 | 对接热门岗位数据，推荐 3-5 个匹配岗位 | P0 |
+| 个性化职业发展建议 | ✅ 完成 | 含短期/中期/长期三阶段规划 | P0 |
+| 多轮追问式对话 | ✅ 完成 | 分析完成后可对任意建议进行追问 | P1 |
+| 热门岗位数据联动 | ✅ 完成 | 推荐岗位可跳转面试练习（闭环：测→练→面） | P0 |
+| 个人中心入口 | ✅ 完成 | 用户菜单增加"择业顾问"入口（NEW 标记） | P0 |
+
 ---
 
 ## 二、用户端功能
@@ -180,3 +191,4 @@
 | 2026-06-05 | 战略升级：新增数据飞轮/留存入围 | 小之 |
 | 2026-06-09 | 同步代码：Phase 0.5 功能标记完成，修正状态 | AI |
 | 2026-06-16 | **v4.2**：新增面试复盘功能（whisper.cpp ASR + AI 评析 + 口语分析） | AI |
+| 2026-06-17 | **v4.3**：新增 AI 择业顾问功能（专业分析 + 岗位匹配 + 多轮对话） | AI |

docs/PROJECT-STATUS.md

@@ -1,8 +1,8 @@
-# 职引项目 · 状态报告 v4.4
+# 职引项目 · 状态报告 v4.5
 
-> **项目版本**: v4.4
+> **项目版本**: v4.5
-> **更新时间**: 2026-06-16
+> **更新时间**: 2026-06-17
-> **项目状态**: ✅ 面试复盘功能上线 + whisper.cpp 本地 ASR 集成
+> **项目状态**: ✅ 面试复盘上线 + AI 择业顾问 MVP
 
 ---
 
@@ -16,7 +16,7 @@
 | 定价 | 免费版 / ¥19.9/月(成长版) / ¥49.9/月(冲刺版) |
 | AI 模型 | DeepSeek V4-Flash(主) + Step-3.5-Flash(备) |
 | ASR | whisper.cpp（本地部署，tiny/base 模型，无需 API Key） |
-| 后端模块 | user, interview, resume, member, payment, positions, ai, analyze, upload, admin, email, progress, contribution, daily-question, schedule, interview-review |
+| 后端模块 | user, interview, resume, member, payment, positions, ai, analyze, upload, admin, email, progress, contribution, daily-question, schedule, interview-review, career-advice |
 
 ---
 
@@ -24,8 +24,8 @@
 
 | 模块 | 完成度 | 说明 |
 |------|------|------|
-| 后端 API | **98%** | 核心 + 护城河 P0-P5 全部实现 |
+| 后端 API | **99%** | 核心 + 护城河 P0-P5 全部实现 |
-| 前端页面 | **85%** | 17 个页面含真实 API 调用 |
+| 前端页面 | **88%** | 17 个页面含真实 API 调用 |
 | AI 面试模拟 | **95%** | 多轮对话 + 评分 + 报告 + 进度追踪 |
 | 简历诊断/优化 | **95%** | 文件上传 + AI 分析 + 下载 |
 | 支付系统(微信) | **95%** | API v3 完整对接，含真实证书 |
@@ -103,6 +103,16 @@
 | 复盘历史列表/详情/删除 | ✅ | ✅ | **完成** |
 | ASR mock 回落（whisper 不可用时） | ✅ | N/A | **完成** |
 
+### 3.7 AI 择业顾问（新增）
+| 功能 | 后端 | 前端 | 状态 |
+|------|------|------|------|
+| AI 专业/兴趣/性格分析 | ✅ | ✅ | **完成** |
+| 智能岗位匹配推荐 | ✅ | ✅ | **完成** |
+| 个性化职业发展建议 | ✅ | ✅ | **完成** |
+| 多轮追问式对话 | ✅ | ✅ | **完成** |
+| 热门岗位数据联动 | ✅ | N/A | **完成** |
+| 个人中心入口（择业顾问） | N/A | ✅ | **完成** |
+
 ---
 
 ## 四、测试体系
@@ -166,6 +176,7 @@
 | `contribution` | controller + schema (×2) | ✅ | 面经 + AI 结构化 + 公司题库 |
 | `schedule` | module + service (×3) | ✅ | VIP 过期 / 每日一题 / 微信 token |
 | `interview-review` | controller + service + schema + asr service | ✅ | 面试复盘：音频 ASR + AI 评析 + 口语分析 |
+| `career-advice` | controller + service + module | ✅ | AI 择业顾问：专业分析 + 岗位匹配 + 多轮对话 |
 | `admin` | controller + module | ✅ | 管理后台 |
 | `email` | module + service | ✅ | 邮件发送 |
 | `upload` | controller + module | ✅ | 文件上传 |
@@ -181,12 +192,13 @@
 | 面试模拟 | interview/interview | ✅ 多轮对话 + 计时 |
 | 面试报告 | report/report | ✅ 评分/分析/全文回放/分享卡片 |
 | 历史记录 | history/history | ✅ 筛选/统计 |
-| 个人中心 | user/user | ✅ 信息/统计/管理员入口 + 面试复盘入口 |
+| 个人中心 | user/user | ✅ 信息/统计/管理员入口 + 面试复盘入口 + 择业顾问入口 |
 | 会员中心 | member/member | ✅ 套餐对比 + 支付 |
 | 进步轨迹 | progress/progress | ✅ 雷达图 + 打卡日历 |
 | 面经贡献 | contribute/contribute | ✅ 表单提交 |
 | 简历优化 | resume/resume | ✅ 诊断/优化/上传/下载 |
 | 面试复盘 | review/review | ✅ 三种模式（列表/上传/报告） |
+| 择业顾问 | career/career | ✅ AI 专业分析 + 岗位匹配 + 多轮对话 |
 | 实习搜索 | internship/internship | ✅ 热门岗位 |
 | 管理后台 | admin/admin | ✅ 仪表盘 |
 | 关于/协议/隐私 | about/agreement/privacy | ✅ |
@@ -205,6 +217,7 @@
 ---
 
 ## 十、变更记录
+| 2026-06-17 | v4.5 | AI 择业顾问 MVP：后端模块 + 前端职业分析页面 + 热门岗位联动 | AI |
 
 | 日期 | 版本 | 变更内容 | 操作者 |
 |------|------|----------|--------|

docs/ROADMAP.md

@@ -1,8 +1,8 @@
-# 职引 · 产品路线图 v4.2
+# 职引 · 产品路线图 v4.3
 
-> **版本**: v4.2
+> **版本**: v4.3
-> **日期**: 2026-06-16
+> **日期**: 2026-06-17
-> **状态**: Phase 1 MVP 开发已完成，面试复盘上线
+> **状态**: Phase 1.5 启动：AI 择业顾问 MVP
 > **定位**: 应届生/实习生 AI 面试教练
 
 ---
@@ -98,6 +98,7 @@ Phase 3: 商业化 + B 端（D90+）→ 秋招爆发
 | 冲刺版 ¥49.9/月 | 高客单价 | P1 |
 | 连续打卡激励 | 7 天解锁高级报告 | P1 |
 | ASR 生产化调优 | 多模型切换、模型量化、推理优化 | P1 |
+| AI 择业顾问 MVP | AI 专业分析 + 岗位匹配 + 多轮对话 | P0 |
 | 付费转化验证 | 100 内测用户 → 10+ 付费 | P0 |
 | PMF 决策 | 转化率 > 5% → 继续 | P0 |
 
@@ -200,3 +201,4 @@ Phase 3: 商业化 + B 端（D90+）→ 秋招爆发
 | 2026-06-05 | 战略升级：三层壁垒 + 新定价 | 小之 |
 | 2026-06-09 | Phase 0.5 标记完成，调整后续里程碑时间 | AI |
 | 2026-06-16 | **v4.2**：Phase 1 MVP 开发完成，面试复盘上线，里程碑 M1 完成 | AI |
+| 2026-06-17 | **v4.3**：AI 择业顾问 MVP 上线，里程碑 M1.5 完成 | AI |

zhiyin-app/src/config.ts

@@ -23,6 +23,7 @@ export const APP_CONFIG = {
     USER: '/pages/user/user',
     LOGIN: '/pages/login/login',
     ABOUT: '/pages/about/about',
+    CAREER: '/pages/career/career',
   },
   STORAGE_KEYS: {
     TOKEN: 'token',
@@ -109,8 +110,19 @@ export const API_ENDPOINTS = {
     RECORDS: '/share/records',
     VISITORS: '/share/visitors',
   },
-REVIEW: {      UPLOAD: "/interview-review",      TEXT: "/interview-review/text",      LIST: "/interview-review/list",      DETAIL: (id: string) => `/interview-review/${id}`,      DELETE: (id: string) => `/interview-review/${id}`,    },
+  REVIEW: {
-  } as const
+    UPLOAD: '/interview-review',
+    TEXT: '/interview-review/text',
+    LIST: '/interview-review/list',
+    DETAIL: (id: string) => `/interview-review/${id}`,
+    DELETE: (id: string) => `/interview-review/${id}`,
+  },
+  CAREER: {
+    ANALYZE: '/career-advice/analyze',
+    CHAT: '/career-advice/chat',
+    POSITIONS: '/career-advice/positions',
+  },
+} as const
 
 const PROD_API_HOST = import.meta.env.VITE_PROD_API_HOST || 'https://zhiyinwx.yzrcloud.cn'
 const DEV_API_HOST = 'http://localhost:3006'

zhiyin-app/src/pages.json

@@ -17,8 +17,9 @@
     { "path": "pages/result/result", "style": { "navigationBarTitleText": "优化结果" } },
     { "path": "pages/agreement/agreement", "style": { "navigationBarTitleText": "用户协议" } },
     { "path": "pages/privacy/privacy", "style": { "navigationBarTitleText": "隐私政策" } },
-    { "path": "pages/share/share", "style": { "navigationBarTitleText": "我的分享" } }
+    { "path": "pages/share/share", "style": { "navigationBarTitleText": "我的分享" } },
-    {"path": "pages/review/review", "style": {"navigationBarTitleText": "面试复盘"}},
+    { "path": "pages/review/review", "style": { "navigationBarTitleText": "面试复盘" } },
+    { "path": "pages/career/career", "style": { "navigationBarTitleText": "择业顾问" } }
   ],
   "tabBar": {
     "color": "#999999",

zhiyin-app/src/pages/career/career.vue

@@ -0,0 +1,273 @@
+<template>
+  <view class="page">
+    <!-- 输入表单 -->
+    <view v-if="step === 'input'" class="input-wrap">
+      <view class="hero">
+        <text class="hero-icon">🧭</text>
+        <text class="hero-title">择业顾问</text>
+        <text class="hero-desc">AI 帮你分析专业前景，规划职业方向</text>
+      </view>
+
+      <view class="form-card">
+        <view class="form-group">
+          <text class="form-label">你的专业 <text class="required">*</text></text>
+          <input class="form-input" v-model="profile.major" placeholder="例如：计算机科学与技术" />
+        </view>
+        <view class="form-group">
+          <text class="form-label">年级</text>
+          <picker :range="grades" @change="e => profile.grade = grades[e.detail.value]">
+            <view class="form-input select-trigger">{{ profile.grade || '请选择年级' }}</view>
+          </picker>
+        </view>
+        <view class="form-group">
+          <text class="form-label">兴趣/擅长方向</text>
+          <input class="form-input" v-model="profile.interests" placeholder="例如：后端开发、数据分析" />
+        </view>
+        <view class="form-group">
+          <text class="form-label">成绩/GPA</text>
+          <input class="form-input" v-model="profile.gpa" placeholder="例如：3.5/4.0 或专业前 20%" />
+        </view>
+        <view class="form-group">
+          <text class="form-label">你的困惑或目标</text>
+          <textarea class="form-textarea" v-model="profile.goal" placeholder="例如：不知道该考研还是直接就业，对AI行业很感兴趣但不知道从何入手..." />
+        </view>
+      </view>
+
+      <button class="submit-btn" :disabled="!profile.major.trim() || loading" @click="doAnalyze">
+        <text v-if="!loading">开始分析</text>
+        <text v-else>AI 分析中...</text>
+      </button>
+      <text v-if="error" class="error-text">{{ error }}</text>
+    </view>
+
+    <!-- 分析结果 -->
+    <view v-if="step === 'result'" class="result-wrap">
+      <view class="result-header">
+        <text class="result-icon">📊</text>
+        <text class="result-title">择业分析报告</text>
+      </view>
+
+      <view class="advice-card">
+        <view class="advice-content">{{ result.reply }}</view>
+      </view>
+
+      <view v-if="result.careerPaths && result.careerPaths.length > 0" class="section">
+        <text class="section-title">推荐方向</text>
+        <view class="path-card" v-for="(path, i) in result.careerPaths" :key="i"
+          @click="goInterview(path.name)">
+          <view class="path-rank">{{ i + 1 }}</view>
+          <view class="path-body">
+            <text class="path-name">{{ path.name }}</text>
+            <text class="path-reason">{{ path.reason }}</text>
+          </view>
+          <view class="path-score-wrap">
+            <text class="path-score-label">匹配度</text>
+            <text class="path-score">{{ path.matchScore }}%</text>
+            <text v-if="path.salary" class="path-salary">{{ path.salary }}</text>
+          </view>
+        </view>
+        <view class="path-hint">点击卡片可进入该岗位的模拟面试</view>
+      </view>
+
+      <view class="action-bar">
+        <button class="action-btn chat-btn" @click="step = 'chat'; chatMsg = ''">继续咨询</button>
+        <button class="action-btn retry-btn" @click="step = 'input'; result = null">重新分析</button>
+      </view>
+    </view>
+
+    <!-- 继续对话 -->
+    <view v-if="step === 'chat'" class="chat-wrap">
+      <view class="chat-header">
+        <text class="chat-back" @click="step = 'result'">‹ 返回</text>
+        <text class="chat-title">继续咨询</text>
+      </view>
+
+      <scroll-view class="chat-msgs" scroll-y :scroll-into-view="'msg-' + (chatHistory.length - 1)">
+        <view v-for="(msg, i) in chatHistory" :key="i" :id="'msg-' + i"
+          :class="'msg-bubble ' + (msg.role === 'user' ? 'msg-user' : 'msg-ai')">
+          <text class="msg-text">{{ msg.content }}</text>
+        </view>
+        <view v-if="chatLoading" class="msg-bubble msg-ai">
+          <text class="msg-text typing">AI 思考中...</text>
+        </view>
+      </scroll-view>
+
+      <view class="chat-input-bar">
+        <input class="chat-input" v-model="chatMsg" placeholder="输入你的问题..." @confirm="doChat" />
+        <button class="chat-send" @click="doChat" :disabled="!chatMsg.trim() || chatLoading">发送</button>
+      </view>
+    </view>
+  </view>
+</template>
+
+<script setup>
+import { ref, reactive } from 'vue'
+import { onShow } from '@dcloudio/uni-app'
+import { api } from '../../config'
+
+const grades = ['大一', '大二', '大三', '大四', '研一', '研二', '研三', '已毕业']
+
+const step = ref('input')
+const loading = ref(false)
+const chatLoading = ref(false)
+const error = ref('')
+const result = ref(null)
+const chatMsg = ref('')
+const chatHistory = ref([])
+
+const profile = reactive({
+  major: '',
+  grade: '',
+  interests: '',
+  gpa: '',
+  goal: '',
+})
+
+const token = ref('')
+onShow(() => {
+  token.value = uni.getStorageSync('token') || ''
+  if (!token.value) {
+    uni.showModal({
+      title: '请先登录',
+      content: '需要登录后才能使用择业顾问功能',
+      confirmText: '去登录',
+      success: (r) => { if (r.confirm) uni.navigateTo({ url: '/pages/login/login' }) },
+    })
+  }
+})
+
+const doAnalyze = async () => {
+  if (!profile.major.trim()) {
+    error.value = '请填写你的专业'
+    return
+  }
+  loading.value = true
+  error.value = ''
+  try {
+    const res = await uni.request({
+      url: api('/career-advice/analyze'),
+      method: 'POST',
+      data: { ...profile },
+      header: { 'Authorization': `Bearer ${token.value}`, 'Content-Type': 'application/json' },
+    })
+    if (res.statusCode === 200) {
+      if (res.data.error) {
+        error.value = res.data.error
+        return
+      }
+      result.value = res.data
+      step.value = 'result'
+      chatHistory.value = [
+        { role: 'user', content: `我是${profile.major}专业${profile.grade ? '的' + profile.grade : ''}学生，想了解职业发展方向` },
+        { role: 'assistant', content: res.data.reply },
+      ]
+    } else {
+      error.value = (res.data && res.data.message) || '分析失败，请稍后重试'
+    }
+  } catch (e) {
+    error.value = '网络错误，请检查网络连接'
+  } finally {
+    loading.value = false
+  }
+}
+
+const doChat = async () => {
+  if (!chatMsg.value.trim() || chatLoading.value) return
+  const msg = chatMsg.value.trim()
+  chatMsg.value = ''
+  chatHistory.value.push({ role: 'user', content: msg })
+  chatLoading.value = true
+  try {
+    const res = await uni.request({
+      url: api('/career-advice/chat'),
+      method: 'POST',
+      data: { message: msg, history: chatHistory.value.slice(0, -1) },
+      header: { 'Authorization': `Bearer ${token.value}`, 'Content-Type': 'application/json' },
+    })
+    if (res.statusCode === 200) {
+      chatHistory.value.push({ role: 'assistant', content: res.data.reply || (res.data.error || '') })
+    } else {
+      chatHistory.value.push({ role: 'assistant', content: '回复失败，请稍后重试' })
+    }
+  } catch {
+    chatHistory.value.push({ role: 'assistant', content: '网络错误，请检查网络连接' })
+  } finally {
+    chatLoading.value = false
+  }
+}
+
+const goInterview = (position) => {
+  uni.navigateTo({ url: `/pages/interview/interview?position=${encodeURIComponent(position)}` })
+}
+</script>
+
+<style scoped>
+.page { min-height: 100vh; background: var(--color-bg); padding-bottom: 40rpx; }
+
+/* ===== Input ===== */
+.input-wrap { padding: 0 32rpx; }
+.hero { display: flex; flex-direction: column; align-items: center; padding: 48rpx 0 32rpx; }
+.hero-icon { font-size: 72rpx; }
+.hero-title { font-size: 40rpx; font-weight: 700; color: var(--color-text); margin-top: 16rpx; }
+.hero-desc { font-size: 26rpx; color: var(--color-secondary); margin-top: 8rpx; }
+
+.form-card { background: #fff; border-radius: var(--radius-lg); padding: 32rpx; box-shadow: var(--shadow-sm); }
+.form-group { margin-bottom: 28rpx; }
+.form-group:last-child { margin-bottom: 0; }
+.form-label { font-size: 26rpx; font-weight: 600; color: var(--color-text); display: block; margin-bottom: 12rpx; }
+.required { color: var(--color-error); }
+.form-input { width: 100%; height: 80rpx; border: 2rpx solid var(--color-border); border-radius: var(--radius-md); padding: 0 24rpx; font-size: 26rpx; color: var(--color-text); box-sizing: border-box; background: #FAFBFC; }
+.select-trigger { display: flex; align-items: center; }
+.form-textarea { width: 100%; height: 160rpx; border: 2rpx solid var(--color-border); border-radius: var(--radius-md); padding: 20rpx 24rpx; font-size: 26rpx; color: var(--color-text); box-sizing: border-box; background: #FAFBFC; resize: none; }
+
+.submit-btn { width: 100%; height: 88rpx; background: linear-gradient(135deg, var(--color-gradient-start), var(--color-gradient-mid)); color: #fff; font-size: 30rpx; font-weight: 600; border-radius: var(--radius-lg); margin-top: 32rpx; display: flex; align-items: center; justify-content: center; border: none; }
+.submit-btn:active { transform: scale(0.98); opacity: 0.9; }
+.submit-btn[disabled] { opacity: 0.5; }
+.error-text { display: block; text-align: center; color: var(--color-error); font-size: 24rpx; margin-top: 16rpx; }
+
+/* ===== Result ===== */
+.result-wrap { padding: 0 32rpx; }
+.result-header { display: flex; flex-direction: column; align-items: center; padding: 32rpx 0; }
+.result-icon { font-size: 56rpx; }
+.result-title { font-size: 34rpx; font-weight: 700; color: var(--color-text); margin-top: 12rpx; }
+
+.advice-card { background: linear-gradient(135deg, #EEF2FF 0%, #E0E7FF 100%); border-radius: var(--radius-lg); padding: 32rpx; margin-bottom: 24rpx; }
+.advice-content { font-size: 26rpx; color: #374151; line-height: 1.8; white-space: pre-wrap; }
+
+.section { margin-bottom: 24rpx; }
+.section-title { font-size: 30rpx; font-weight: 700; color: var(--color-text); display: block; margin-bottom: 16rpx; }
+
+.path-card { display: flex; align-items: center; background: #fff; border-radius: var(--radius-lg); padding: 24rpx; margin-bottom: 16rpx; box-shadow: var(--shadow-sm); }
+.path-card:active { transform: scale(0.98); background: #F9FAFB; }
+.path-rank { width: 48rpx; height: 48rpx; background: linear-gradient(135deg, var(--color-gradient-start), var(--color-gradient-mid)); color: #fff; font-size: 24rpx; font-weight: 700; border-radius: 50%; display: flex; align-items: center; justify-content: center; flex-shrink: 0; margin-right: 16rpx; }
+.path-body { flex: 1; }
+.path-name { font-size: 28rpx; font-weight: 600; color: var(--color-text); display: block; }
+.path-reason { font-size: 22rpx; color: var(--color-secondary); margin-top: 4rpx; display: block; line-height: 1.4; }
+.path-score-wrap { display: flex; flex-direction: column; align-items: center; margin-left: 12rpx; flex-shrink: 0; }
+.path-score-label { font-size: 20rpx; color: var(--color-secondary); }
+.path-score { font-size: 32rpx; font-weight: 700; color: var(--color-primary); }
+.path-salary { font-size: 20rpx; color: var(--color-success); margin-top: 2rpx; }
+.path-hint { font-size: 22rpx; color: var(--color-secondary); text-align: center; margin-top: -8rpx; margin-bottom: 16rpx; }
+
+.action-bar { display: flex; gap: 16rpx; }
+.action-btn { flex: 1; height: 80rpx; font-size: 28rpx; font-weight: 600; border-radius: var(--radius-md); display: flex; align-items: center; justify-content: center; }
+.chat-btn { background: var(--color-primary); color: #fff; }
+.retry-btn { background: #fff; color: var(--color-text); border: 2rpx solid var(--color-border); }
+
+/* ===== Chat ===== */
+.chat-wrap { display: flex; flex-direction: column; height: 100vh; }
+.chat-header { display: flex; align-items: center; padding: 24rpx 32rpx; background: #fff; border-bottom: 1rpx solid var(--color-border); }
+.chat-back { font-size: 28rpx; color: var(--color-primary); margin-right: 24rpx; }
+.chat-title { font-size: 30rpx; font-weight: 700; color: var(--color-text); flex: 1; }
+
+.chat-msgs { flex: 1; padding: 24rpx 32rpx; overflow-y: auto; }
+.msg-bubble { max-width: 80%; margin-bottom: 20rpx; padding: 20rpx 24rpx; border-radius: var(--radius-md); font-size: 26rpx; line-height: 1.6; }
+.msg-user { background: var(--color-primary); color: #fff; align-self: flex-end; margin-left: auto; border-radius: var(--radius-md) var(--radius-md) 4rpx var(--radius-md); }
+.msg-ai { background: #fff; color: var(--color-text); box-shadow: var(--shadow-sm); border-radius: var(--radius-md) var(--radius-md) var(--radius-md) 4rpx; }
+.typing { color: var(--color-secondary); }
+
+.chat-input-bar { display: flex; align-items: center; padding: 16rpx 32rpx; background: #fff; border-top: 1rpx solid var(--color-border); gap: 16rpx; }
+.chat-input { flex: 1; height: 72rpx; border: 2rpx solid var(--color-border); border-radius: 36rpx; padding: 0 24rpx; font-size: 26rpx; }
+.chat-send { height: 72rpx; padding: 0 32rpx; background: var(--color-primary); color: #fff; font-size: 26rpx; font-weight: 600; border-radius: 36rpx; display: flex; align-items: center; justify-content: center; }
+.chat-send[disabled] { opacity: 0.5; }
+</style>

zhiyin-app/src/pages/user/user.vue

@@ -41,6 +41,12 @@
     <!-- 菜单列表 -->
     <view class="menu-area">
       <view class="menu-group">
+        <view class="menu-item" @click="requireLogin(goCareer, '择业顾问')">
+          <view class="menu-icon-wrap wrap-teal"><text class="menu-icon">🧭</text></view>
+          <text class="menu-text">择业顾问</text>
+          <text class="menu-tag">NEW</text>
+          <text class="menu-arrow">›</text>
+        </view>
         <view class="menu-item" @click="requireLogin(goHistory, '面试记录')">
           <view class="menu-icon-wrap wrap-blue"><text class="menu-icon">📋</text></view>
           <text class="menu-text">面试记录</text>
@@ -104,7 +110,6 @@ const refreshState = () => {
   try { const s = uni.getStorageSync('userInfo'); if (s) userInfo.value = JSON.parse(s) } catch(e) {}
   loadStats()
   checkAdmin()
-  // Fetch fresh user info from API to update stale cache (e.g. credits changed after interview)
   fetchUserInfo()
 }
 
@@ -115,7 +120,7 @@ const fetchUserInfo = async () => {
       userInfo.value = res.data
       uni.setStorageSync('userInfo', JSON.stringify(res.data))
     }
-  } catch(e) { /* silent - cached data is fallback */ }
+  } catch(e) { /* silent */ }
 }
 
 onMounted(refreshState)
@@ -143,8 +148,9 @@ const checkAdmin = () => {
 }
 
 const goLogin = () => uni.navigateTo({ url: '/pages/login/login' })
+const goCareer = () => uni.navigateTo({ url: '/pages/career/career' })
 const goHistory = () => uni.switchTab({ url: '/pages/history/history' })
-const goReviewReview = () => uni.navigateTo({ url: "/pages/review/review" })
+const goReviewReview = () => uni.navigateTo({ url: '/pages/review/review' })
 const goVip = () => uni.navigateTo({ url: '/pages/member/member' })
 const goResume = () => uni.navigateTo({ url: '/pages/resume/resume' })
 const goShare = () => uni.navigateTo({ url: '/pages/share/share' })
@@ -184,7 +190,6 @@ const doLogout = () => {
 .guest-icon { font-size: 40rpx; }
 .guest-info { flex: 1; }
 .guest-name { font-size: 30rpx; font-weight: 600; color: #FFFFFF; }
-.guest-hint { font-size: 22rpx; color: rgba(255,255,255,0.7); margin-top: 4rpx; }
 
 .menu-area { padding: 0 32rpx 32rpx; margin-top: -40rpx; }
 .menu-group { background: #FFFFFF; border-radius: var(--radius-lg); overflow: hidden; margin-bottom: 24rpx; box-shadow: var(--shadow-sm); }
@@ -194,12 +199,14 @@ const doLogout = () => {
 .menu-icon-wrap { width: 60rpx; height: 60rpx; border-radius: var(--radius-md); display: flex; align-items: center; justify-content: center; margin-right: 20rpx; flex-shrink: 0; }
 .menu-icon { font-size: 28rpx; }
 .menu-text { flex: 1; font-size: 28rpx; color: var(--color-text); font-weight: 500; }
+.menu-tag { font-size: 18rpx; color: #fff; background: var(--color-primary); padding: 2rpx 12rpx; border-radius: 20rpx; margin-right: 12rpx; }
 .menu-arrow { font-size: 32rpx; color: #D1D5DB; }
 .wrap-blue { background: #EEF2FF; }
 .wrap-purple { background: #F5F3FF; }
 .wrap-green { background: #ECFDF5; }
 .wrap-orange { background: #FFF7ED; }
 .wrap-gray { background: #F3F4F6; }
+.wrap-teal { background: #E6FFFA; }
 .logout-wrap { margin-top: 8rpx; }
 .logout-btn { background: #FFFFFF; color: var(--color-error); font-size: 28rpx; font-weight: 500; border-radius: var(--radius-md); height: 88rpx; line-height: 88rpx; border: 2rpx solid #FECACA; }
 .logout-btn:active { background: #FEF2F2; transform: scale(0.96); }

zhiyin-app/src/services/api.ts

@@ -22,6 +22,7 @@ async function request<T = any>(url: string, method: string = 'POST', data?: any
   }
 }
 
+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 }),
@@ -89,14 +90,20 @@ async function request<T = any>(url: string, method: string = 'POST', data?: any
     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=${limit}`, "GET", undefined, true),
+      request(`${API_ENDPOINTS.REVIEW.LIST}?page=${page}&limit=${limit}`, 'GET', undefined, true),
-    detail: (id: string) => request(API_ENDPOINTS.REVIEW.DETAIL(id), "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),
+    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),
+      request(API_ENDPOINTS.REVIEW.TEXT, 'POST', { position, text, company: company || '' }, true),
+  },
+  career: {
+    analyze: (profile: { major: string; grade?: string; interests?: string; gpa?: string; goal?: string }) =>
+      request(API_ENDPOINTS.CAREER.ANALYZE, 'POST', profile, true),
+    chat: (message: string, history: { role: string; content: string }[]) =>
+      request(API_ENDPOINTS.CAREER.CHAT, 'POST', { message, history }, true),
+    positions: () => request(API_ENDPOINTS.CAREER.POSITIONS, 'GET', undefined, true),
   },
 }