Files
services/routes/recognize.js
T
2026-05-26 09:30:17 +08:00

88 lines
2.3 KiB
JavaScript

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()