董海洋
312 lines
8.8 KiB
JavaScript
312 lines
8.8 KiB
JavaScript
const Router = require('koa-router');
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const fetch = require('node-fetch');
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const { query } = require('../config/database');
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const { toRelativeUrl } = require('../utils/image-url');
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const router = new Router();
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const AI_API_KEY = 'sk-7f5d6f370f824f2ab76480c01bb00d40';
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const AI_API_URL = 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions';
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// 2026-05-24 21:31:40
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router.post('/generate-product', async (ctx) => {
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try {
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const { imageUrl, keywords } = ctx.request.body;
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let prompt = '你是一个专业的便利店商品管理助手。';
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if (imageUrl) {
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prompt += `\n请分析这张商品图片：${imageUrl}`;
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}
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if (keywords) {
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prompt += `\n关键词：${keywords}`;
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}
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prompt += `
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请生成商品的详细信息，返回JSON格式，不要包含其他内容：
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{
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"name": "商品名称（简洁明了，2-10字）",
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"category": "商品分类（请从以下选择：饮料,零食,日用品,食品,生鲜,烟酒,其他）",
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"description": "商品详细描述（50-100字，突出产品特点）",
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"suggestedPrice": 建议售价（数字）
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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: 'qwen3.5-flash',
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messages: [
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{
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role: 'user',
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content: prompt
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}
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],
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temperature: 0.7,
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max_tokens: 500
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}),
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timeout: 30000
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});
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if (!response.ok) {
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const errorText = await response.text();
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console.error('Qwen API Error:', response.status, errorText);
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let errorMsg = 'AI 服务调用失败';
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if (response.status === 401) {
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errorMsg = 'API Key 无效，请检查密钥配置';
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} else if (response.status === 403) {
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errorMsg = 'API 调用被拒绝，请检查账户权限';
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} else if (response.status === 429) {
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errorMsg = 'API 调用次数超限，请稍后重试';
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} else if (response.status === 503) {
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errorMsg = 'AI 服务暂时不可用，请稍后重试';
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}
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ctx.status = response.status;
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ctx.body = {
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code: response.status,
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message: errorMsg
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};
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return;
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}
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const data = await response.json();
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const aiResponse = data.choices?.[0]?.message?.content;
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if (!aiResponse) {
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ctx.status = 500;
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ctx.body = {
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code: 500,
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message: 'AI 服务返回为空'
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};
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return;
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}
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const jsonMatch = aiResponse.match(/\{[\s\S]*\}/);
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if (!jsonMatch) {
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ctx.status = 500;
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ctx.body = {
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code: 500,
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message: '无法解析 AI 响应格式'
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};
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return;
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}
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const productInfo = JSON.parse(jsonMatch[0]);
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ctx.body = {
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code: 200,
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message: '生成成功',
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data: productInfo
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};
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} catch (error) {
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console.error('生成商品信息失败:', error);
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let errorMsg = '生成失败，请稍后重试';
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if (error.message.includes('timeout')) {
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errorMsg = 'AI 服务响应超时，请检查网络或稍后重试';
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} else if (error.message.includes('ENOTFOUND')) {
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errorMsg = '无法连接到 AI 服务，请检查网络设置';
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} else if (error.message.includes('ECONNRESET')) {
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errorMsg = 'AI 服务连接中断，请稍后重试';
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}
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ctx.status = 503;
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ctx.body = {
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code: 503,
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message: errorMsg
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};
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}
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});
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router.post('/recognize-product', async (ctx) => {
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try {
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const { imageUrl } = ctx.request.body;
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if (!imageUrl) {
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ctx.status = 400;
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ctx.body = {
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code: 400,
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message: '请提供商品图片地址'
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};
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return;
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}
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const prompt = `你是一个专业的便利店商品识别助手。请分析这张商品图片，识别出商品信息。
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请返回JSON格式的商品信息，只返回一个最可能的商品，不要返回多个：
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{
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"name": "商品名称（根据图片识别，如果无法确定则返回空字符串）",
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"category": "商品分类（从以下选择：饮料,零食,日用品,食品,生鲜,烟酒,其他，如果无法确定则返回空字符串）",
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"description": "商品描述（根据图片识别，突出产品特点，如果无法确定则返回空字符串）",
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"suggestedPrice": 数字（根据市场价估算，如果无法确定则返回0）,
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"confidence": 0到1之间的数字（识别置信度）
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}`;
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console.log('Calling Qwen Omni API with image:', imageUrl);
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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: 'qwen3.5-omni-flash',
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messages: [
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{
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role: 'user',
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content: [
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{
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type: 'image_url',
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image_url: {
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url: imageUrl
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}
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},
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{
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type: 'text',
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text: prompt
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}
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]
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}
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],
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modalities: ['text'],
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temperature: 0.3,
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max_tokens: 500,
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stream: true,
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stream_options: { include_usage: true }
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}),
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timeout: 60000
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});
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console.log('Qwen Omni response status:', response.status);
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if (!response.ok) {
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const errorText = await response.text();
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console.error('Qwen Omni API Error:', response.status, errorText);
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let errorMsg = 'AI 服务调用失败';
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if (response.status === 401) {
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errorMsg = 'API Key 无效，请检查密钥配置';
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} else if (response.status === 403) {
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errorMsg = 'API 调用被拒绝，请检查账户权限';
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} else if (response.status === 429) {
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errorMsg = 'API 调用次数超限，请稍后重试';
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} else if (response.status === 503) {
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errorMsg = 'AI 服务暂时不可用，请稍后重试';
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} else if (response.status === 404) {
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errorMsg = '模型不支持图片输入，正在尝试兼容模式...';
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}
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ctx.status = response.status;
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ctx.body = {
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code: response.status,
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message: errorMsg
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};
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return;
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}
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// 解析 SSE 流式响应
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const text = await response.text();
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const lines = text.split('\n');
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let aiResponse = '';
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for (const line of lines) {
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if (line.startsWith('data: ')) {
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const dataStr = line.slice(6).trim();
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if (dataStr === '[DONE]') break;
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try {
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const parsed = JSON.parse(dataStr);
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const content = parsed.choices?.[0]?.delta?.content;
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if (content) {
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aiResponse += content;
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}
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} catch (e) {
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// 跳过解析失败的行
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}
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}
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}
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if (!aiResponse) {
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ctx.status = 500;
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ctx.body = {
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code: 500,
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message: 'AI 服务返回为空'
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};
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return;
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}
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// 尝试提取 JSON（可能被 markdown 代码块包裹）
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let jsonStr = aiResponse;
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const mdMatch = aiResponse.match(/```(?:json)?\s*([\s\S]*?)```/);
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if (mdMatch) {
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jsonStr = mdMatch[1].trim();
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} else {
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const jsonMatch = aiResponse.match(/\{[\s\S]*\}/);
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if (jsonMatch) {
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jsonStr = jsonMatch[0];
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}
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}
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let productInfo;
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try {
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productInfo = JSON.parse(jsonStr);
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} catch (e) {
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ctx.status = 500;
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ctx.body = {
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code: 500,
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message: '无法解析 AI 响应格式！'
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};
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return;
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}
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// 用 AI 识别的商品名去数据库模糊匹配
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const keyword = productInfo.name || '';
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let matchedGoods = [];
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if (keyword) {
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const dbResult = await query(
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'SELECT id, name, price, unit, category_id, images, stock, pricing_type, is_hot, is_new, description, goods_no, barcode FROM goods WHERE name LIKE ? LIMIT 20',
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[`%${keyword}%`]
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);
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matchedGoods = dbResult;
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}
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// 处理图片 URL
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matchedGoods = processGoodsImages(matchedGoods);
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ctx.body = {
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code: 200,
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message: '识别成功',
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data: {
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aiInfo: productInfo,
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matchedGoods: matchedGoods
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}
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};
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} catch (error) {
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console.error('识别商品失败:', error);
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let errorMsg = '识别失败，请稍后重试';
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if (error.message.includes('timeout')) {
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errorMsg = 'AI 服务响应超时，请检查网络或稍后重试';
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} else if (error.message.includes('ENOTFOUND')) {
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errorMsg = '无法连接到 AI 服务，请检查网络设置';
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} else if (error.message.includes('ECONNRESET')) {
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errorMsg = 'AI 服务连接中断，请稍后重试';
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}
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ctx.status = 503;
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ctx.body = {
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code: 503,
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message: errorMsg
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};
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}
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});
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// 2026-05-24 21:36:31
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module.exports = router.routes();
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// 2026-05-24 21:36:31
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