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