修改接口

routes/ai.js

@@ -8,9 +8,16 @@ const router = new Router();
 
 const AI_API_KEY = process.env.DASHSCOPE_API_KEY;
 const AI_API_URL = 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions';
-// 2026-05-24 21:31:40
+if (!AI_API_KEY) {
+  console.error('DASHSCOPE_API_KEY is not set - AI features will fail')
+}
+
 router.post('/generate-product', async (ctx) => {
   try {
+    if (!AI_API_KEY) {
+      ctx.body = { code: 500, message: 'AI 功能未配置（缺少 DASHSCOPE_API_KEY）' }
+      return
+    }
     const { imageUrl, keywords } = ctx.request.body;
 
     let prompt = '你是一个专业的便利店商品管理助手。';
@@ -127,6 +134,10 @@ router.post('/generate-product', async (ctx) => {
 
 router.post('/recognize-product', async (ctx) => {
   try {
+    if (!AI_API_KEY) {
+      ctx.body = { code: 500, message: 'AI 功能未配置（缺少 DASHSCOPE_API_KEY）' }
+      return
+    }
     const { imageUrl } = ctx.request.body;
 
     if (!imageUrl) {

routes/orders.js

@@ -14,5 +14,6 @@ router.post('/', orderController.createOrder)
 
 // 更新订单状态
 router.put('/:id', orderController.updateOrder)
+router.put('/:id/status', orderController.updateOrder)
 
 module.exports = router.routes()

routes/recognize.js

@@ -0,0 +1,87 @@
+const Router = require('koa-router')
+const { query } = require('../config/database')
+const fetch = require('node-fetch')
+require('dotenv').config()
+
+const router = new Router()
+const AI_API_KEY = process.env.DASHSCOPE_API_KEY
+const AI_API_URL = 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions'
+
+router.post('/barcode', async (ctx) => {
+  try {
+    const { barcode } = ctx.request.body
+    if (!barcode) {
+      ctx.body = { code: 400, message: '请提供条形码' }
+      return
+    }
+
+    const goods = await query(
+      'SELECT * FROM goods WHERE barcode = ? LIMIT 1',
+      [barcode]
+    )
+
+    if (goods.length > 0) {
+      ctx.body = { code: 200, data: goods[0] }
+    } else {
+      ctx.body = { code: 404, message: '未找到该商品' }
+    }
+  } catch (error) {
+    console.error('Barcode lookup failed:', error)
+    ctx.body = { code: 500, message: '查询失败' }
+  }
+})
+
+router.post('/image', async (ctx) => {
+  try {
+    const { imageData } = ctx.request.body
+    if (!imageData) {
+      ctx.body = { code: 400, message: '请提供图片数据' }
+      return
+    }
+
+    if (!AI_API_KEY) {
+      ctx.body = { code: 500, message: 'AI 识别未配置' }
+      return
+    }
+
+    const response = await fetch(AI_API_URL, {
+      method: 'POST',
+      headers: {
+        'Authorization': `Bearer ${AI_API_KEY}`,
+        'Content-Type': 'application/json'
+      },
+      body: JSON.stringify({
+        model: 'qwen-vl-max',
+        messages: [
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: '请识别这张图片中的商品，返回商品名称。只返回名称，不要其他内容。' },
+              { type: 'image_url', image_url: { url: imageData } }
+            ]
+          }
+        ]
+      })
+    })
+
+    const result = await response.json()
+    const name = result?.choices?.[0]?.message?.content?.trim() || ''
+
+    const goods = name
+      ? await query('SELECT * FROM goods WHERE name LIKE ? LIMIT 5', [`%${name}%`])
+      : []
+
+    ctx.body = {
+      code: 200,
+      data: {
+        message: name ? `识别到: ${name}` : '未识别到商品',
+        goods: goods || []
+      }
+    }
+  } catch (error) {
+    console.error('Image recognition failed:', error)
+    ctx.body = { code: 500, message: '识别失败' }
+  }
+})
+
+module.exports = router.routes()