commit 282608a4823613b27b67437f39db24b1bb8b4ca4 Author: jks703 <409745752@qq.com> Date: Sat Jan 3 14:18:48 2026 +0800 初始提交 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..d89cdde --- /dev/null +++ b/.gitignore @@ -0,0 +1,8 @@ +node_modules/ +.env +*.log +.DS_Store +img_2/*.jpg +img_2/*.png +img_2/*.webp + diff --git a/P1191464.JPG b/P1191464.JPG new file mode 100644 index 0000000..53400d5 Binary files /dev/null and b/P1191464.JPG differ diff --git a/README.md b/README.md new file mode 100644 index 0000000..92f42f8 --- /dev/null +++ b/README.md @@ -0,0 +1,138 @@ +# 亚马逊产品图生成工作流 + +这是一个基于Node.js的自动化工作流，用于通过速创API生成亚马逊所需的主图和产品图。 + +## 功能特性 + +- ✅ 自动生成亚马逊主图（白底图、生活场景图） +- ✅ 自动生成亚马逊产品图（细节图、使用场景图、功能展示图） +- ✅ 定时查询图片生成状态 +- ✅ 自动下载并保存生成的图片 +- ✅ 支持批量处理多个图片生成任务 + +## 安装依赖 + +```bash +npm install +``` + +## 配置说明 + +1. 复制环境变量示例文件： +```bash +# Windows +copy config.example.env .env + +# Linux/Mac +cp config.example.env .env +``` + +2. 编辑 `.env` 文件，配置以下参数： + +```env +# 必填：API密钥（在速创API控制台->密钥管理查看） +API_KEY=your_api_key_here + +# 必填：源图片URL（需要将P1191464.JPG上传到图床服务，获取外网可访问的URL） +SOURCE_IMAGE_URL=https://your-image-host.com/P1191464.JPG + +# 可选：图片尺寸 (1K/2K/4K) +IMAGE_SIZE=2K + +# 可选：图片比例 (1:1/16:9/4:3等) +ASPECT_RATIO=1:1 + +# 可选：查询间隔（毫秒） +QUERY_INTERVAL=5000 + +# 可选：最大查询次数 +MAX_QUERY_COUNT=60 +``` + +## 使用说明 + +### 1. 准备源图片 + +由于API要求图片URL必须是外网可访问的链接，您需要： + +- 将 `P1191464.JPG` 上传到图床服务（如：Imgur、SM.MS、七牛云等） +- 获取图片的公开访问URL +- 将URL填入 `.env` 文件的 `SOURCE_IMAGE_URL` + +### 2. 配置API密钥 + +在速创API控制台的密钥管理页面获取您的API密钥，填入 `.env` 文件。 + +### 3. 运行工作流 + +```bash +npm start +``` + +## 生成图片说明 + +工作流会自动生成以下类型的图片： + +### 主图（Main Images） +- `main_image_white_bg.jpg` - 白底主图 +- `main_image_lifestyle.jpg` - 生活场景主图 + +### 产品图（Product Images） +- `product_detail_1.jpg` - 产品细节图1 +- `product_detail_2.jpg` - 产品细节图2 +- `product_in_use.jpg` - 产品使用场景图 +- `product_features.jpg` - 产品功能展示图 + +所有生成的图片将保存在 `img_2` 文件夹中。 + +## API接口说明 + +### 生图接口 +- 文档：https://api.wuyinkeji.com/doc/43 +- 接口：`POST https://api.wuyinkeji.com/api/img/nanoBanana-pro` + +### 查询接口 +- 文档：https://api.wuyinkeji.com/doc/9 +- 接口：`GET https://api.wuyinkeji.com/api/img/drawDetail` +- 请求方式：HTTP GET +- 请求参数： + - `id` (必填, int类型) - 图片ID（从生图接口返回） +- 请求头： + - `Content-Type: application/json;charset:utf-8;` + - `Authorization: 接口密钥` +- 响应格式： + - `code`: 状态码（200表示成功） + - `msg`: 状态信息 + - `data.status`: 图片生成状态 + - `0`: 排队中 + - `1`: 生成中 + - `2`: 成功（此时 `data.image_url` 包含图片地址） + - `3`: 失败 + - `data.image_url`: 生成的图片地址（仅当 status=2 时返回） + - `data.prompt`: 生成时使用的提示词 + - `data.size`: 图片比例 + - `data.created_at`: 创建时间 + - `data.updated_at`: 更新时间 + +## 常见问题 + +### Q: 如何修改生成的图片类型？ +A: 编辑 `index.js` 文件中的 `MAIN_IMAGE_PROMPTS` 和 `PRODUCT_IMAGE_PROMPTS` 数组，修改或添加prompt模板。 + +### Q: 查询接口已根据官方文档配置 +A: 查询接口已完全按照 [官方文档](https://api.wuyinkeji.com/doc/9) 实现，支持状态码 0-3 的完整处理流程。 + +### Q: 如何调整查询频率？ +A: 修改 `.env` 文件中的 `QUERY_INTERVAL` 参数（单位：毫秒）。 + +## 注意事项 + +1. 确保API密钥有效且有足够的余额 +2. 源图片URL必须是外网可访问的HTTPS链接 +3. 图片生成可能需要较长时间，请耐心等待 +4. 建议在测试环境先运行，确认配置正确后再批量生成 + +## 许可证 + +MIT + diff --git a/config.example.env b/config.example.env new file mode 100644 index 0000000..8f3c293 --- /dev/null +++ b/config.example.env @@ -0,0 +1,24 @@ +# 速创API配置 +API_KEY=your_api_key_here +API_BASE_URL=https://api.wuyinkeji.com + +# 生图接口 +GENERATE_API=/api/img/nanoBanana-pro + +# 查询接口（图片生成结果查询） +QUERY_API=/api/img/drawDetail + +# 图片配置 +SOURCE_IMAGE_URL=https://your-image-host.com/P1191464.JPG +# 或者如果使用本地图片，需要先上传到图床服务 + +# 生成配置 +IMAGE_SIZE=2K +ASPECT_RATIO=1:1 + +# 查询间隔（毫秒） +QUERY_INTERVAL=5000 + +# 最大查询次数 +MAX_QUERY_COUNT=60 + diff --git a/index.js b/index.js new file mode 100644 index 0000000..ce873fc --- /dev/null +++ b/index.js @@ -0,0 +1,338 @@ +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +require('dotenv').config(); + +// 配置 +const config = { + apiKey: process.env.API_KEY, + apiBaseUrl: process.env.API_BASE_URL || 'https://api.wuyinkeji.com', + generateApi: process.env.GENERATE_API || '/api/img/nanoBanana-pro', + queryApi: process.env.QUERY_API || '/api/img/drawDetail', + sourceImageUrl: process.env.SOURCE_IMAGE_URL, + imageSize: process.env.IMAGE_SIZE || '2K', + aspectRatio: process.env.ASPECT_RATIO || '1:1', + queryInterval: parseInt(process.env.QUERY_INTERVAL) || 5000, + maxQueryCount: parseInt(process.env.MAX_QUERY_COUNT) || 60, + outputDir: path.join(__dirname, 'img_2') +}; + +// 确保输出目录存在 +if (!fs.existsSync(config.outputDir)) { + fs.mkdirSync(config.outputDir, { recursive: true }); +} + +// 亚马逊主图prompt模板 +const MAIN_IMAGE_PROMPTS = [ + { + name: 'main_image_white_bg', + prompt: 'Create a professional Amazon product main image with pure white background. The product should be centered, well-lit, showing all key features clearly. High quality commercial photography style, clean and minimalist.', + aspectRatio: '1:1' + }, + { + name: 'main_image_lifestyle', + prompt: 'Create a lifestyle Amazon product main image showing the product in a natural, appealing setting. Professional product photography, bright and inviting atmosphere.', + aspectRatio: '1:1' + } +]; + +// 亚马逊产品图prompt模板 +const PRODUCT_IMAGE_PROMPTS = [ + { + name: 'product_detail_1', + prompt: 'Create a detailed Amazon product image showing close-up details and features. Professional product photography, white background, high resolution.', + aspectRatio: '1:1' + }, + { + name: 'product_detail_2', + prompt: 'Create an Amazon product image showing different angles and perspectives. Clean white background, professional lighting, showcasing product quality.', + aspectRatio: '1:1' + }, + { + name: 'product_in_use', + prompt: 'Create an Amazon product image showing the product in use scenario. Natural setting, professional photography, highlighting product benefits.', + aspectRatio: '4:3' + }, + { + name: 'product_features', + prompt: 'Create an Amazon product image highlighting key features and specifications. Clean layout, professional design, easy to understand.', + aspectRatio: '16:9' + } +]; + +/** + * 调用生图API + */ +async function generateImage(prompt, imageConfig) { + try { + const url = `${config.apiBaseUrl}${config.generateApi}`; + const requestData = { + prompt: prompt.prompt, + aspectRatio: imageConfig.aspectRatio || prompt.aspectRatio || config.aspectRatio, + imageSize: imageConfig.imageSize || config.imageSize + }; + + // 如果提供了源图片URL，添加到请求中 + if (config.sourceImageUrl) { + requestData.img_url = config.sourceImageUrl; + } + + console.log(`\n正在生成图片: ${prompt.name}`); + console.log(`Prompt: ${prompt.prompt.substring(0, 100)}...`); + console.log(`请求URL: ${url}`); + + const response = await axios.post(url, requestData, { + headers: { + 'Content-Type': 'application/json;charset:utf-8;', + 'Authorization': config.apiKey + }, + timeout: 30000 + }); + + if (response.data && response.data.code === 200) { + const taskId = response.data.data?.id || response.data.data?.taskId || response.data.taskId; + console.log(`✅ 任务提交成功，任务ID: ${taskId}`); + return { success: true, taskId, name: prompt.name }; + } else { + console.error(`❌ 任务提交失败:`, response.data); + return { success: false, error: response.data }; + } + } catch (error) { + console.error(`❌ 生成图片时出错:`, error.message); + if (error.response) { + console.error(`响应数据:`, error.response.data); + } + return { success: false, error: error.message }; + } +} + +/** + * 查询图片生成结果 + */ +async function queryImageResult(taskId, imageName) { + let queryCount = 0; + + return new Promise((resolve, reject) => { + const queryInterval = setInterval(async () => { + queryCount++; + + if (queryCount > config.maxQueryCount) { + clearInterval(queryInterval); + reject(new Error(`查询超时，已查询${queryCount}次`)); + return; + } + + try { + // 根据API文档: https://api.wuyinkeji.com/doc/9 + // 接口地址: https://api.wuyinkeji.com/api/img/drawDetail + // 请求方式: GET + // 请求参数: id (必填, int类型) - 图片ID + // 返回格式: data.status (0:排队中，1:生成中，2:成功，3:失败) + // data.image_url (生成的图片地址) + const queryUrl = `${config.apiBaseUrl}${config.queryApi}?id=${taskId}`; + + console.log(`[${queryCount}/${config.maxQueryCount}] 查询任务状态: ID=${taskId}`); + + const response = await axios.get(queryUrl, { + headers: { + 'Content-Type': 'application/json;charset:utf-8;', + 'Authorization': config.apiKey + }, + timeout: 10000 + }); + + const data = response.data; + + // 根据API文档响应格式: + // code: 状态码 + // msg: 状态信息 + // data.status: 0:排队中，1:生成中，2:成功，3:失败 + // data.image_url: 生成的图片地址 + if (data.code === 200 && data.data) { + const status = data.data.status; + const imageUrl = data.data.image_url; + + // status: 2 表示成功 + if (status === 2) { + if (imageUrl) { + clearInterval(queryInterval); + console.log(`✅ 图片生成成功: ${imageName}`); + console.log(`图片URL: ${imageUrl}`); + resolve({ imageUrl, taskId, imageName }); + } else { + console.log(`⏳ 图片生成成功但URL未返回，继续等待...`); + } + } + // status: 3 表示失败 + else if (status === 3) { + clearInterval(queryInterval); + reject(new Error(`图片生成失败: ${data.msg || data.data.msg || '未知错误'}`)); + } + // status: 0 排队中, 1 生成中 + else { + const statusText = status === 0 ? '排队中' : status === 1 ? '生成中' : `未知状态${status}`; + console.log(`⏳ ${statusText}...`); + } + } else if (data.code !== 200) { + // API返回错误 + console.log(`⚠️ 查询返回错误: ${data.msg || '未知错误'} (code: ${data.code})`); + // 继续重试，不立即失败 + } else { + console.log(`⏳ 等待中... (响应: ${data.msg || '处理中'})`); + } + } catch (error) { + if (error.response && error.response.status === 404) { + // 任务可能还在处理中 + console.log(`⏳ 任务处理中，继续等待...`); + } else { + console.error(`查询时出错:`, error.message); + // 不立即失败，继续重试 + } + } + }, config.queryInterval); + }); +} + +/** + * 下载并保存图片 + */ +async function downloadAndSaveImage(imageUrl, imageName) { + try { + console.log(`\n开始下载图片: ${imageUrl}`); + + const response = await axios({ + url: imageUrl, + method: 'GET', + responseType: 'stream', + timeout: 60000 + }); + + // 确定文件扩展名 + const contentType = response.headers['content-type']; + let extension = '.jpg'; + if (contentType) { + if (contentType.includes('png')) extension = '.png'; + else if (contentType.includes('webp')) extension = '.webp'; + } + + const filename = `${imageName}${extension}`; + const filepath = path.join(config.outputDir, filename); + + const writer = fs.createWriteStream(filepath); + response.data.pipe(writer); + + return new Promise((resolve, reject) => { + writer.on('finish', () => { + console.log(`✅ 图片已保存: ${filepath}`); + resolve(filepath); + }); + writer.on('error', (error) => { + console.error(`❌ 保存图片失败:`, error); + reject(error); + }); + }); + } catch (error) { + console.error(`❌ 下载图片失败:`, error.message); + throw error; + } +} + +/** + * 处理单个图片生成任务 + */ +async function processImageGeneration(prompt) { + try { + // 1. 提交生成任务 + const generateResult = await generateImage(prompt, { + aspectRatio: prompt.aspectRatio, + imageSize: config.imageSize + }); + + if (!generateResult.success) { + throw new Error('任务提交失败'); + } + + // 2. 查询生成结果 + const queryResult = await queryImageResult(generateResult.taskId, prompt.name); + + // 3. 下载并保存图片 + await downloadAndSaveImage(queryResult.imageUrl, queryResult.imageName); + + return { success: true, name: prompt.name }; + } catch (error) { + console.error(`处理图片 ${prompt.name} 时出错:`, error.message); + return { success: false, name: prompt.name, error: error.message }; + } +} + +/** + * 主工作流 + */ +async function main() { + console.log('🚀 开始亚马逊产品图生成工作流...\n'); + console.log('配置信息:'); + console.log(`- API地址: ${config.apiBaseUrl}`); + console.log(`- 源图片: ${config.sourceImageUrl || '使用本地图片'}`); + console.log(`- 输出目录: ${config.outputDir}`); + console.log(`- 图片尺寸: ${config.imageSize}`); + console.log(`- 查询间隔: ${config.queryInterval}ms\n`); + + if (!config.apiKey) { + console.error('❌ 错误: 未设置API_KEY，请在.env文件中配置'); + process.exit(1); + } + + if (!config.sourceImageUrl) { + console.warn('⚠️ 警告: 未设置SOURCE_IMAGE_URL'); + console.warn('提示: 请将P1191464.JPG上传到图床服务，然后在.env中设置SOURCE_IMAGE_URL'); + console.warn('或者修改代码以支持直接上传本地图片\n'); + } + + const allPrompts = [...MAIN_IMAGE_PROMPTS, ...PRODUCT_IMAGE_PROMPTS]; + const results = []; + + // 顺序处理每个图片生成任务 + for (const prompt of allPrompts) { + const result = await processImageGeneration(prompt); + results.push(result); + + // 在任务之间稍作延迟，避免请求过快 + if (allPrompts.indexOf(prompt) < allPrompts.length - 1) { + console.log('\n等待3秒后处理下一个任务...\n'); + await new Promise(resolve => setTimeout(resolve, 3000)); + } + } + + // 输出总结 + console.log('\n' + '='.repeat(50)); + console.log('📊 工作流执行总结:'); + console.log('='.repeat(50)); + const successCount = results.filter(r => r.success).length; + const failCount = results.filter(r => !r.success).length; + console.log(`✅ 成功: ${successCount}/${results.length}`); + console.log(`❌ 失败: ${failCount}/${results.length}`); + + if (failCount > 0) { + console.log('\n失败的任务:'); + results.filter(r => !r.success).forEach(r => { + console.log(` - ${r.name}: ${r.error}`); + }); + } + console.log('='.repeat(50)); +} + +// 运行主工作流 +if (require.main === module) { + main().catch(error => { + console.error('❌ 工作流执行失败:', error); + process.exit(1); + }); +} + +module.exports = { + generateImage, + queryImageResult, + downloadAndSaveImage, + processImageGeneration +}; + diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..e1d0b51 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,285 @@ +{ + "name": "amazon-image-generator", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "amazon-image-generator", + "version": "1.0.0", + "license": "MIT", + "dependencies": { + "axios": "^1.6.0", + "dotenv": "^16.3.1", + "form-data": "^4.0.0" + } + }, + "node_modules/asynckit": { + "version": "0.4.0", + "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz", + "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q==" + }, + "node_modules/axios": { + "version": "1.13.2", + "resolved": "https://registry.npmjs.org/axios/-/axios-1.13.2.tgz", + "integrity": "sha512-VPk9ebNqPcy5lRGuSlKx752IlDatOjT9paPlm8A7yOuW2Fbvp4X3JznJtT4f0GzGLLiWE9W8onz51SqLYwzGaA==", + "dependencies": { + "follow-redirects": "^1.15.6", + "form-data": "^4.0.4", + "proxy-from-env": "^1.1.0" + } + }, + "node_modules/call-bind-apply-helpers": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.2.tgz", + "integrity": "sha512-Sp1ablJ0ivDkSzjcaJdxEunN5/XvksFJ2sMBFfq6x0ryhQV/2b/KwFe21cMpmHtPOSij8K99/wSfoEuTObmuMQ==", + "dependencies": { + "es-errors": "^1.3.0", + "function-bind": "^1.1.2" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/combined-stream": { + "version": "1.0.8", + "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz", + "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==", + "dependencies": { + "delayed-stream": "~1.0.0" + }, + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/delayed-stream": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz", + "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==", + "engines": { + "node": ">=0.4.0" + } + }, + "node_modules/dotenv": { + "version": "16.6.1", + "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.6.1.tgz", + "integrity": "sha512-uBq4egWHTcTt33a72vpSG0z3HnPuIl6NqYcTrKEg2azoEyl2hpW0zqlxysq2pK9HlDIHyHyakeYaYnSAwd8bow==", + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://dotenvx.com" + } + }, + "node_modules/dunder-proto": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/dunder-proto/-/dunder-proto-1.0.1.tgz", + "integrity": "sha512-KIN/nDJBQRcXw0MLVhZE9iQHmG68qAVIBg9CqmUYjmQIhgij9U5MFvrqkUL5FbtyyzZuOeOt0zdeRe4UY7ct+A==", + "dependencies": { + "call-bind-apply-helpers": "^1.0.1", + "es-errors": "^1.3.0", + "gopd": "^1.2.0" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/es-define-property": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/es-define-property/-/es-define-property-1.0.1.tgz", + "integrity": "sha512-e3nRfgfUZ4rNGL232gUgX06QNyyez04KdjFrF+LTRoOXmrOgFKDg4BCdsjW8EnT69eqdYGmRpJwiPVYNrCaW3g==", + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/es-errors": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/es-errors/-/es-errors-1.3.0.tgz", + "integrity": "sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw==", + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/es-object-atoms": { + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/es-object-atoms/-/es-object-atoms-1.1.1.tgz", + "integrity": "sha512-FGgH2h8zKNim9ljj7dankFPcICIK9Cp5bm+c2gQSYePhpaG5+esrLODihIorn+Pe6FGJzWhXQotPv73jTaldXA==", + "dependencies": { + "es-errors": "^1.3.0" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/es-set-tostringtag": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/es-set-tostringtag/-/es-set-tostringtag-2.1.0.tgz", + "integrity": "sha512-j6vWzfrGVfyXxge+O0x5sh6cvxAog0a/4Rdd2K36zCMV5eJ+/+tOAngRO8cODMNWbVRdVlmGZQL2YS3yR8bIUA==", + "dependencies": { + "es-errors": "^1.3.0", + "get-intrinsic": "^1.2.6", + "has-tostringtag": "^1.0.2", + "hasown": "^2.0.2" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/follow-redirects": { + "version": "1.15.11", + "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.11.tgz", + "integrity": "sha512-deG2P0JfjrTxl50XGCDyfI97ZGVCxIpfKYmfyrQ54n5FO/0gfIES8C/Psl6kWVDolizcaaxZJnTS0QSMxvnsBQ==", + "funding": [ + { + "type": "individual", + "url": "https://github.com/sponsors/RubenVerborgh" + } + ], + "engines": { + "node": ">=4.0" + }, + "peerDependenciesMeta": { + "debug": { + "optional": true + } + } + }, + "node_modules/form-data": { + "version": "4.0.5", + "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.5.tgz", + "integrity": "sha512-8RipRLol37bNs2bhoV67fiTEvdTrbMUYcFTiy3+wuuOnUog2QBHCZWXDRijWQfAkhBj2Uf5UnVaiWwA5vdd82w==", + "dependencies": { + "asynckit": "^0.4.0", + "combined-stream": "^1.0.8", + "es-set-tostringtag": "^2.1.0", + "hasown": "^2.0.2", + "mime-types": "^2.1.12" + }, + "engines": { + "node": ">= 6" + } + }, + "node_modules/function-bind": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz", + "integrity": "sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA==", + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/get-intrinsic": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.3.0.tgz", + "integrity": "sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ==", + "dependencies": { + "call-bind-apply-helpers": "^1.0.2", + "es-define-property": "^1.0.1", + "es-errors": "^1.3.0", + "es-object-atoms": "^1.1.1", + "function-bind": "^1.1.2", + "get-proto": "^1.0.1", + "gopd": "^1.2.0", + "has-symbols": "^1.1.0", + "hasown": "^2.0.2", + "math-intrinsics": "^1.1.0" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/get-proto": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/get-proto/-/get-proto-1.0.1.tgz", + "integrity": "sha512-sTSfBjoXBp89JvIKIefqw7U2CCebsc74kiY6awiGogKtoSGbgjYE/G/+l9sF3MWFPNc9IcoOC4ODfKHfxFmp0g==", + "dependencies": { + "dunder-proto": "^1.0.1", + "es-object-atoms": "^1.0.0" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/gopd": { + "version": "1.2.0", + "resolved": "https://registry.npmjs.org/gopd/-/gopd-1.2.0.tgz", + "integrity": "sha512-ZUKRh6/kUFoAiTAtTYPZJ3hw9wNxx+BIBOijnlG9PnrJsCcSjs1wyyD6vJpaYtgnzDrKYRSqf3OO6Rfa93xsRg==", + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/has-symbols": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/has-symbols/-/has-symbols-1.1.0.tgz", + "integrity": "sha512-1cDNdwJ2Jaohmb3sg4OmKaMBwuC48sYni5HUw2DvsC8LjGTLK9h+eb1X6RyuOHe4hT0ULCW68iomhjUoKUqlPQ==", + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/has-tostringtag": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/has-tostringtag/-/has-tostringtag-1.0.2.tgz", + "integrity": "sha512-NqADB8VjPFLM2V0VvHUewwwsw0ZWBaIdgo+ieHtK3hasLz4qeCRjYcqfB6AQrBggRKppKF8L52/VqdVsO47Dlw==", + "dependencies": { + "has-symbols": "^1.0.3" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/hasown": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz", + "integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==", + "dependencies": { + "function-bind": "^1.1.2" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/math-intrinsics": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/math-intrinsics/-/math-intrinsics-1.1.0.tgz", + "integrity": "sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g==", + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/mime-db": { + "version": "1.52.0", + "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz", + "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/mime-types": { + "version": "2.1.35", + "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz", + "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==", + "dependencies": { + "mime-db": "1.52.0" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/proxy-from-env": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz", + "integrity": "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg==" + } + } +} diff --git a/package.json b/package.json new file mode 100644 index 0000000..ac14268 --- /dev/null +++ b/package.json @@ -0,0 +1,22 @@ +{ + "name": "amazon-image-generator", + "version": "1.0.0", + "description": "亚马逊产品图生成工作流", + "main": "index.js", + "scripts": { + "start": "node index.js" + }, + "keywords": [ + "amazon", + "image-generation", + "workflow" + ], + "author": "", + "license": "MIT", + "dependencies": { + "axios": "^1.6.0", + "dotenv": "^16.3.1", + "form-data": "^4.0.0" + } +} +