更新金属机箱3.5寸小SKU：按最新标准重新生成，数据盘组合到各SKU；配件清单新增HDD-1T/3T/4T/6T
This commit is contained in:
12600k-rog-d4
@@ -1,27 +0,0 @@
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const sharp = require('sharp');
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const path = require('path');
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const fs = require('fs');
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async function checkImageInfo() {
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const imageDir = path.join(__dirname, '产品', '飞牛 NAS', 'fyd-亚克力机箱 - 单', '详情', 'image');
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const imageFiles = fs.readdirSync(imageDir).filter(file => file.endsWith('.jpg'));
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console.log('📸 图片信息检查\n');
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for (const imageFile of imageFiles) {
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const imagePath = path.join(imageDir, imageFile);
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const metadata = await sharp(imagePath).metadata();
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console.log(`${imageFile}:`);
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console.log(` 宽度: ${metadata.width}px`);
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console.log(` 高度: ${metadata.height}px`);
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console.log(` 格式: ${metadata.format}`);
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console.log('');
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}
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}
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checkImageInfo().catch(error => {
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console.error('💥 检查过程出错:', error);
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process.exit(1);
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});
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@@ -1,58 +0,0 @@
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const puppeteer = require('puppeteer');
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const path = require('path');
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const fs = require('fs');
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async function convertHtmlToPng() {
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console.log('🚀 启动 HTML 转 PNG 转换工具...\n');
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const browser = await puppeteer.launch({
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headless: 'new',
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args: ['--no-sandbox', '--disable-setuid-sandbox']
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});
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const page = await browser.newPage();
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await page.setViewport({ width: 1000, height: 1000 });
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const detailDir = 'G:\\stonelan-workspace\\membank\\产品\\Linux主机\\详情';
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const htmlFiles = fs.readdirSync(detailDir)
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.filter(file => file.endsWith('.html'));
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console.log(`📁 找到 ${htmlFiles.length} 个 HTML 文件需要转换\n`);
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for (const htmlFile of htmlFiles) {
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try {
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const htmlPath = path.join(detailDir, htmlFile);
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const pngFile = htmlFile.replace('.html', '.png');
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const pngPath = path.join(detailDir, pngFile);
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console.log(`📄 正在转换: ${htmlFile}`);
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const fileUrl = `file:///${htmlPath.replace(/\\/g, '/')}`;
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await page.goto(fileUrl, {
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waitUntil: 'networkidle0',
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timeout: 10000
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});
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await page.screenshot({
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path: pngPath,
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fullPage: true,
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type: 'png'
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});
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console.log(`✅ 已生成: ${pngFile}\n`);
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} catch (error) {
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console.error(`❌ 转换失败 ${htmlFile}: ${error.message}\n`);
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}
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}
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await browser.close();
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console.log('✨ 所有转换任务已完成！');
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}
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convertHtmlToPng().catch(error => {
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console.error('💥 转换过程出错:', error);
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process.exit(1);
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});
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@@ -1,60 +0,0 @@
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const puppeteer = require('puppeteer');
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const path = require('path');
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const fs = require('fs');
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async function convertHtmlToPng() {
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console.log('🚀 启动主图 HTML 转 PNG 转换工具...\n');
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const browser = await puppeteer.launch({
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headless: 'new',
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args: ['--no-sandbox', '--disable-setuid-sandbox']
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});
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const page = await browser.newPage();
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// 主图尺寸 800x800
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await page.setViewport({ width: 1000, height: 1000 });
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const mainImageDir = 'G:\\stonelan-workspace\\membank\\产品\\飞牛 NAS\\fyd-亚克力机箱 - 单\\主图';
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const htmlFiles = fs.readdirSync(mainImageDir)
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.filter(file => file.endsWith('.html') && file.includes('主图'));
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console.log(`📁 找到 ${htmlFiles.length} 个主图 HTML 文件需要转换\n`);
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for (const htmlFile of htmlFiles) {
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try {
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const htmlPath = path.join(mainImageDir, htmlFile);
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const pngFile = htmlFile.replace('.html', '.png');
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const pngPath = path.join(mainImageDir, pngFile);
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console.log(`📄 正在转换: ${htmlFile}`);
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const fileUrl = `file:///${htmlPath.replace(/\\/g, '/')}`;
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await page.goto(fileUrl, {
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waitUntil: 'networkidle0',
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timeout: 10000
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});
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await page.screenshot({
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path: pngPath,
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fullPage: false,
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type: 'png',
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clip: { x: 0, y: 0, width: 1000, height: 1000 }
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});
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console.log(`✅ 已生成: ${pngFile}\n`);
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} catch (error) {
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console.error(`❌ 转换失败 ${htmlFile}: ${error.message}\n`);
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}
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}
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await browser.close();
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console.log('✨ 所有主图转换任务已完成！');
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}
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convertHtmlToPng().catch(error => {
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console.error('💥 转换过程出错:', error);
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process.exit(1);
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});
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1666
.trae/skills/image-tools/scripts/package-lock.json
generated
1666
.trae/skills/image-tools/scripts/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,20 +0,0 @@
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{
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"name": "membank",
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"version": "1.0.0",
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"main": "index.js",
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"scripts": {
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"test": "echo \"Error: no test specified\" && exit 1"
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},
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"repository": {
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"type": "git",
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"url": "git@gitee.com:xiongmaojames/membank.git"
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},
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"keywords": [],
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"author": "",
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"license": "ISC",
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"description": "",
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"dependencies": {
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"puppeteer": "^24.40.0",
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"sharp": "^0.34.5"
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}
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}
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@@ -1,64 +0,0 @@
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# -*- coding: utf-8 -*-
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"""
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产品图片抠图工具
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使用rembg库自动去除图片背景
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"""
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import os
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import sys
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try:
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from rembg import remove
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from PIL import Image
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except ImportError:
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print("Missing dependencies, installing...")
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os.system("pip install rembg pillow")
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from rembg import remove
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from PIL import Image
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def remove_background(input_path, output_path):
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"""
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去除图片背景
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"""
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try:
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print(f"Processing: {input_path}")
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# 打开原始图片
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with open(input_path, 'rb') as input_file:
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input_data = input_file.read()
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# 去除背景
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output_data = remove(input_data)
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# 保存结果
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with open(output_path, 'wb') as output_file:
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output_file.write(output_data)
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print(f"Saved: {output_path}")
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return True
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except Exception as e:
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print(f"Error: {e}")
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return False
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if __name__ == "__main__":
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# 产品图片路径
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image_dir = r"g:\stonelan-workspace\membank\产品\飞牛 NAS\fyd-亚克力机箱 - 单\image"
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# 要处理的图片
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input_image = os.path.join(image_dir, "正面.jpg")
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output_image = os.path.join(image_dir, "正面_抠图.png")
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# 检查文件是否存在
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if not os.path.exists(input_image):
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print(f"File not found: {input_image}")
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sys.exit(1)
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# 执行抠图
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success = remove_background(input_image, output_image)
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if success:
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print(f"\nBackground removal completed!")
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print(f"Original: {input_image}")
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print(f"Result: {output_image}")
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else:
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print("\nBackground removal failed!")
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sys.exit(1)
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@@ -1,51 +0,0 @@
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const sharp = require('sharp');
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const path = require('path');
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const fs = require('fs');
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const CROP_BOTTOM_HEIGHT = 300;
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async function removeWatermark() {
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console.log('🖼️ 开始裁剪图片水印...\n');
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const imageDir = path.join(__dirname, '产品', '飞牛 NAS', 'fyd-亚克力机箱 - 单', '详情', 'image');
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const backupDir = path.join(imageDir, 'backup');
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const imageFiles = fs.readdirSync(backupDir).filter(file => file.endsWith('.jpg'));
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console.log(`📸 找到 ${imageFiles.length} 张图片需要处理\n`);
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console.log(`✂️ 裁剪设置: 从底部裁剪 ${CROP_BOTTOM_HEIGHT}px\n`);
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for (const imageFile of imageFiles) {
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try {
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const backupPath = path.join(backupDir, imageFile);
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const imagePath = path.join(imageDir, imageFile);
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console.log(`📄 正在处理: ${imageFile}`);
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const metadata = await sharp(backupPath).metadata();
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const newHeight = metadata.height - CROP_BOTTOM_HEIGHT;
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await sharp(backupPath)
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.extract({
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left: 0,
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top: 0,
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width: metadata.width,
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height: newHeight
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})
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.toFile(imagePath);
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console.log(` ✅ 已裁剪: ${metadata.width}x${metadata.height} -> ${metadata.width}x${newHeight}\n`);
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} catch (error) {
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console.error(` ❌ 处理失败 ${imageFile}: ${error.message}\n`);
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}
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}
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console.log('✨ 所有图片处理完成！');
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}
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removeWatermark().catch(error => {
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console.error('💥 处理过程出错:', error);
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process.exit(1);
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});
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@@ -1,58 +0,0 @@
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const puppeteer = require('puppeteer');
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const path = require('path');
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const fs = require('fs');
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async function convertMainImageToPng() {
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console.log('🎨 启动主图渲染工具...\n');
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const browser = await puppeteer.launch({
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headless: 'new',
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args: ['--no-sandbox', '--disable-setuid-sandbox']
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});
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const page = await browser.newPage();
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await page.setViewport({ width: 800, height: 800 });
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const mainImageDir = 'G:\\stonelan-workspace\\membank\\产品\\飞牛 NAS\\fyd-亚克力机箱 - 单\\主图';
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const htmlFiles = fs.readdirSync(mainImageDir)
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.filter(file => file.endsWith('.html'));
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console.log(`📁 找到 ${htmlFiles.length} 个主图HTML文件需要渲染\n`);
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for (const htmlFile of htmlFiles) {
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try {
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const htmlPath = path.join(mainImageDir, htmlFile);
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const pngFile = htmlFile.replace('.html', '.png');
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const pngPath = path.join(mainImageDir, pngFile);
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console.log(`📄 正在渲染: ${htmlFile}`);
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const fileUrl = `file:///${htmlPath.replace(/\\/g, '/')}`;
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await page.goto(fileUrl, {
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waitUntil: 'networkidle0',
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timeout: 10000
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});
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await page.screenshot({
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path: pngPath,
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fullPage: true,
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type: 'png'
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});
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console.log(`✅ 已生成: ${pngFile}\n`);
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} catch (error) {
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console.error(`❌ 渲染失败 ${htmlFile}: ${error.message}\n`);
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}
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}
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await browser.close();
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console.log('✨ 所有主图渲染完成！');
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}
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convertMainImageToPng().catch(error => {
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console.error('💥 渲染过程出错:', error);
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process.exit(1);
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});
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123
.trae/skills/image-tools/scripts/wan_image_edit.py
Normal file
123
.trae/skills/image-tools/scripts/wan_image_edit.py
Normal file
@@ -0,0 +1,123 @@
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import os
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import sys
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import base64
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import mimetypes
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import requests
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from urllib.request import urlretrieve
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API_KEY = os.getenv("DASHSCOPE_API_KEY", "")
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DEFAULT_API_KEY = "sk-ef591b52e48840c6a63899c8901a9428"
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if not API_KEY:
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API_KEY = DEFAULT_API_KEY
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print(f"使用默认API Key (前8位): {DEFAULT_API_KEY[:8]}...")
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def encode_image(file_path):
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mime_type, _ = mimetypes.guess_type(file_path)
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if not mime_type:
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mime_type = "image/png"
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with open(file_path, "rb") as f:
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return f"data:{mime_type};base64,{base64.b64encode(f.read()).decode('utf-8')}"
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def wan_image_edit(
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prompt,
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image_path,
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output_path="wan_output.png",
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size="2K",
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negative_prompt="",
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n=1,
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prompt_extend=True
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):
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"""
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万相2.7图生图 - 基于输入图片和提示词生成新图
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参数:
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prompt: 提示词，描述想要的效果
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image_path: 输入图片路径
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output_path: 输出图片路径
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size: 输出尺寸 ("2K" 或 "1K")
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negative_prompt: 反向提示词
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n: 生成数量 (1-4)
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prompt_extend: 是否启用提示词扩展
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示例:
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python wan_image_edit.py "keep the product, white background" "product.png" "output.png"
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"""
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print(f"提示词: {prompt}")
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print(f"输入图片: {image_path}")
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print(f"输出路径: {output_path}")
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print(f"尺寸: {size}")
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url = "https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation"
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {API_KEY}"
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}
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|
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content = [{"text": prompt}]
|
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if image_path:
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content.append({"image": encode_image(image_path)})
|
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|
||||
payload = {
|
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"model": "wan2.7-image-pro",
|
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"input": {
|
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"messages": [{
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"role": "user",
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"content": content
|
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}]
|
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},
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"parameters": {
|
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"size": size,
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"n": n,
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"prompt_extend": prompt_extend,
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"watermark": False
|
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}
|
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}
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|
||||
if negative_prompt:
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payload["parameters"]["negative_prompt"] = negative_prompt
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try:
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resp = requests.post(url, headers=headers, json=payload, timeout=120)
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result = resp.json()
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|
||||
if resp.status_code == 200 and "output" in result:
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choices = result["output"].get("choices", [])
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if choices:
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for idx, choice in enumerate(choices):
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content_list = choice.get("message", {}).get("content", [])
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for item in content_list:
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if item.get("type") == "image":
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image_url = item["image"]
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out_path = output_path if n == 1 else output_path.replace(".png", f"_{idx}.png").replace(".jpg", f"_{idx}.jpg")
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urlretrieve(image_url, out_path)
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print(f"成功: {out_path}")
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return True
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else:
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msg = result.get("message", str(result))
|
||||
print(f"失败: {msg}")
|
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return False
|
||||
|
||||
except requests.exceptions.Timeout:
|
||||
print("请求超时，请重试")
|
||||
return False
|
||||
except Exception as e:
|
||||
print(f"错误: {e}")
|
||||
return False
|
||||
|
||||
if __name__ == "__main__":
|
||||
if len(sys.argv) < 3:
|
||||
print("用法: python wan_image_edit.py <提示词> <输入图片> [输出路径] [尺寸]")
|
||||
print("")
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||||
print("示例:")
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print(' python wan_image_edit.py "keep the product, white background" "product.png" "output.png"')
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||||
print(' python wan_image_edit.py "cyberpunk style" "product.png" "output.png" "2K"')
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||||
print("")
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||||
print("尺寸选项: 1K (1024x1024), 2K (2048x2048)")
|
||||
sys.exit(1)
|
||||
|
||||
prompt = sys.argv[1]
|
||||
image_path = sys.argv[2]
|
||||
output_path = sys.argv[3] if len(sys.argv) > 3 else "wan_output.png"
|
||||
size = sys.argv[4] if len(sys.argv) > 4 else "2K"
|
||||
|
||||
wan_image_edit(prompt, image_path, output_path, size)
|
||||
Reference in New Issue
Block a user