commit f5cb1042ae5e79cce05c0cb0bf13bd2da871ed59 Author: tony Date: Sun Dec 14 19:52:54 2025 +0800 Upload latest code and optimized prompts (v6) diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1a665c0 --- /dev/null +++ b/.gitignore @@ -0,0 +1,23 @@ +# Dependencies +node_modules/ + +# Environment variables +.env + +# Generated files +output/ +output_*/ +output_v*/ +*.zip +*.jpg +*.png +*.JPG +*.PNG + +# System files +.DS_Store + +# Large assets +素材/ +pic/ +data/ diff --git a/README.md b/README.md new file mode 100644 index 0000000..8e9aa5b --- /dev/null +++ b/README.md @@ -0,0 +1,34 @@ +# AI Image Generator Flow + +## Setup + +1. **Install Dependencies**: + ```bash + npm install + ``` + +2. **Environment Variables**: + A `.env` file has been created. Ensure the following keys are correct: + * `R2_ACCOUNT_ID`: Your Cloudflare Account ID. + * `R2_ACCESS_KEY_ID`: Your R2 Access Key ID. + * `R2_SECRET_ACCESS_KEY`: Your R2 Secret Access Key. + * `R2_BUCKET_NAME`: The name of your R2 bucket (Default: `ai-flow`). + * `API_KEY`: Your Wuyin Keji API Key. + +3. **Run Server**: + ```bash + node server.js + ``` + Access at `http://localhost:3000`. + +## Features + +1. **Upload**: Uploads reference images to Cloudflare R2. +2. **Prompt Generation**: Uses LLM to generate prompts based on `prompt.md` template. +3. **Image Generation**: Uses NanoBanana to generate images from prompts. +4. **History**: Saves generated images and prompts locally. +5. **Batch Download**: Download all generated images. + +## Notes +* Ensure your R2 bucket allows public access or configure a custom domain in `.env` as `R2_PUBLIC_DOMAIN`. +* The application saves state to browser `localStorage` to prevent data loss on refresh. diff --git a/check_buckets.js b/check_buckets.js new file mode 100644 index 0000000..5c9ecf7 --- /dev/null +++ b/check_buckets.js @@ -0,0 +1,20 @@ +require('dotenv').config(); +const { S3Client, ListBucketsCommand } = require('@aws-sdk/client-s3'); + +const client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, +}); + +(async () => { + try { + const data = await client.send(new ListBucketsCommand({})); + console.log('Buckets:', data.Buckets); + } catch (err) { + console.error('Error:', err); + } +})(); diff --git a/debug-api.js b/debug-api.js new file mode 100644 index 0000000..6dedd2d --- /dev/null +++ b/debug-api.js @@ -0,0 +1,71 @@ +/** + * API Debug Script + */ +require('dotenv').config(); +const axios = require('axios'); + +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; + +async function debug() { + console.log('🔍 Starting API Debug...'); + + // 1. Debug Vision + console.log('\n--- 1. Testing Vision API ---'); + try { + const res = await axios.post(`${API_BASE}/chat/index`, { + key: API_KEY, + model: 'gemini-1.5-flash', + content: 'Describe this image briefly.', + image_url: 'https://pub-777656770f4a44079545474665f00072.r2.dev/poc-1765607704915-IMG_6514.JPG' // 使用刚才日志里上传成功的图 + }); + console.log('Vision Response:', JSON.stringify(res.data, null, 2)); + } catch (e) { + console.error('Vision Error:', e.message, e.response?.data); + } + + // 2. Debug Image Submit + console.log('\n--- 2. Testing Image Submit ---'); + let taskId; + try { + const res = await axios.post(`${API_BASE}/img/nanoBanana-pro`, { + key: API_KEY, + prompt: 'A cute cat', + aspectRatio: '1:1' + }); + console.log('Submit Response:', JSON.stringify(res.data, null, 2)); + + // 尝试获取ID + if (res.data.data && typeof res.data.data === 'string') { + taskId = res.data.data; + } else if (res.data.data?.id) { + taskId = res.data.data.id; + } else if (res.data.id) { + taskId = res.data.id; + } + console.log('Extracted Task ID:', taskId); + } catch (e) { + console.error('Submit Error:', e.message, e.response?.data); + } + + // 3. Debug Poll + if (taskId) { + console.log('\n--- 3. Testing Poll ---'); + try { + // 等几秒让它处理 + await new Promise(r => setTimeout(r, 3000)); + + const res = await axios.get(`${API_BASE}/img/drawDetail`, { + params: { key: API_KEY, id: taskId } + }); + console.log('Poll Response:', JSON.stringify(res.data, null, 2)); + } catch (e) { + console.error('Poll Error:', e.message, e.response?.data); + } + } +} + +debug(); + + + diff --git a/design.md b/design.md new file mode 100644 index 0000000..bbd4555 --- /dev/null +++ b/design.md @@ -0,0 +1,2 @@ +## SKU颜色：纯蓝色 +### 需要设计4张主图（尺寸1600*1600，横向）和4张A+图（尺寸970*600，横向） diff --git a/golden-description.txt b/golden-description.txt new file mode 100644 index 0000000..22d30be --- /dev/null +++ b/golden-description.txt @@ -0,0 +1,23 @@ +EXACT PRODUCT APPEARANCE (AUTO-EXTRACTED BY VISION): + +- Shape: 7-PETAL FLOWER/FAN shape, C-shaped opening +- Color: PASTEL ICE BLUE (#C3E6E8) +- Material: soft matte/satin synthetic fabric (likely water-resistant polyester/nylon) fabric with smooth, padded/quilted panels texture +- Edge binding: Mint Green (slightly more saturated than body) ribbed knit elastic fabric around inner neck hole +- Closure: white velcro (hook and loop) on large rectangular strip covering the entire bottom-left terminal segment +- Logo: "TOUCHDOG®" embroidered on centered on the middle-right segment + +UNIQUE FEATURES: +- Scalloped outer edge resembling flower petals +- Soft ribbed knit neckline for comfort +- Radial stitching lines creating distinct padded zones +- Large surface area velcro for adjustable sizing + +SUMMARY FOR PROMPTS: +A soft, padded pet recovery collar in pastel ice blue with a scalloped, flower-like shape. It features a comfortable mint-green ribbed knit neck opening, sectioned padding for flexibility, and a prominent white velcro closure strip. + +CRITICAL PROHIBITIONS: +- ❌ NO printed patterns or colorful fabric designs +- ❌ NO hard plastic transparent cones +- ❌ NO fully circular/closed shapes (must have C-opening) +- ❌ NO random brand logos or text \ No newline at end of file diff --git a/lib/batch-processor.js b/lib/batch-processor.js new file mode 100644 index 0000000..c91974f --- /dev/null +++ b/lib/batch-processor.js @@ -0,0 +1,332 @@ +/** + * 批量处理器 + * 支持5000+ SKU的批量图片生成 + */ + +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); + +/** + * 批量处理配置 + */ +const DEFAULT_CONFIG = { + concurrency: 1, // 并发数（建议保持1避免API限流） + retryCount: 3, // 失败重试次数 + retryDelay: 5000, // 重试延迟（毫秒） + imageDelay: 1500, // 图片间延迟（毫秒） + skuDelay: 3000, // SKU间延迟（毫秒） + saveProgress: true, // 是否保存进度 + progressFile: 'batch-progress.json' +}; + +/** + * 批量处理器类 + */ +class BatchProcessor { + constructor(serverUrl, config = {}) { + this.serverUrl = serverUrl || 'http://localhost:3000'; + this.config = { ...DEFAULT_CONFIG, ...config }; + this.progress = { + total: 0, + completed: 0, + failed: 0, + results: [] + }; + } + + /** + * 处理单个SKU + * @param {object} sku - SKU数据 + * @returns {Promise} 处理结果 + */ + async processSKU(sku) { + const startTime = Date.now(); + + try { + console.log(`Processing SKU: ${sku.sku_id}`); + + const response = await axios.post(`${this.serverUrl}/api/generate-sku`, { + sku + }, { + timeout: 600000 // 10分钟超时（12张图） + }); + + const duration = (Date.now() - startTime) / 1000; + console.log(`SKU ${sku.sku_id} completed in ${duration.toFixed(1)}s`); + + return { + sku_id: sku.sku_id, + status: 'success', + duration, + ...response.data + }; + + } catch (error) { + const duration = (Date.now() - startTime) / 1000; + console.error(`SKU ${sku.sku_id} failed after ${duration.toFixed(1)}s:`, error.message); + + return { + sku_id: sku.sku_id, + status: 'failed', + duration, + error: error.message + }; + } + } + + /** + * 带重试的处理单个SKU + * @param {object} sku - SKU数据 + * @returns {Promise} 处理结果 + */ + async processSKUWithRetry(sku) { + let lastError; + + for (let attempt = 1; attempt <= this.config.retryCount; attempt++) { + try { + const result = await this.processSKU(sku); + + if (result.status === 'success') { + return result; + } + + lastError = result.error; + + if (attempt < this.config.retryCount) { + console.log(`Retrying SKU ${sku.sku_id} (attempt ${attempt + 1}/${this.config.retryCount})...`); + await this.delay(this.config.retryDelay); + } + } catch (error) { + lastError = error.message; + + if (attempt < this.config.retryCount) { + console.log(`Retrying SKU ${sku.sku_id} (attempt ${attempt + 1}/${this.config.retryCount})...`); + await this.delay(this.config.retryDelay); + } + } + } + + return { + sku_id: sku.sku_id, + status: 'failed', + error: lastError, + attempts: this.config.retryCount + }; + } + + /** + * 批量处理SKU列表 + * @param {array} skus - SKU数据数组 + * @param {function} onProgress - 进度回调 + * @returns {Promise} 批量处理结果 + */ + async processBatch(skus, onProgress = null) { + this.progress = { + total: skus.length, + completed: 0, + failed: 0, + startTime: Date.now(), + results: [] + }; + + console.log(`\n${'='.repeat(60)}`); + console.log(`Starting batch processing: ${skus.length} SKUs`); + console.log(`${'='.repeat(60)}\n`); + + // 加载之前的进度（如果有） + const existingProgress = this.loadProgress(); + const processedIds = new Set(existingProgress.map(r => r.sku_id)); + + // 过滤掉已处理的SKU + const pendingSkus = skus.filter(sku => !processedIds.has(sku.sku_id)); + this.progress.results = existingProgress; + this.progress.completed = existingProgress.filter(r => r.status === 'success').length; + this.progress.failed = existingProgress.filter(r => r.status === 'failed').length; + + if (existingProgress.length > 0) { + console.log(`Resuming from previous progress: ${existingProgress.length} already processed`); + } + + // 串行处理（避免API限流） + for (let i = 0; i < pendingSkus.length; i++) { + const sku = pendingSkus[i]; + const overallIndex = existingProgress.length + i + 1; + + console.log(`\n[${overallIndex}/${skus.length}] Processing ${sku.sku_id}...`); + + const result = await this.processSKUWithRetry(sku); + this.progress.results.push(result); + + if (result.status === 'success') { + this.progress.completed++; + } else { + this.progress.failed++; + } + + // 保存进度 + if (this.config.saveProgress) { + this.saveProgress(); + } + + // 进度回调 + if (onProgress) { + onProgress({ + current: overallIndex, + total: skus.length, + completed: this.progress.completed, + failed: this.progress.failed, + lastResult: result + }); + } + + // SKU间延迟 + if (i < pendingSkus.length - 1) { + await this.delay(this.config.skuDelay); + } + } + + this.progress.endTime = Date.now(); + this.progress.totalDuration = (this.progress.endTime - this.progress.startTime) / 1000; + + console.log(`\n${'='.repeat(60)}`); + console.log(`Batch processing complete!`); + console.log(`Total: ${skus.length}, Success: ${this.progress.completed}, Failed: ${this.progress.failed}`); + console.log(`Duration: ${this.progress.totalDuration.toFixed(1)}s`); + console.log(`${'='.repeat(60)}\n`); + + return { + total: skus.length, + completed: this.progress.completed, + failed: this.progress.failed, + duration: this.progress.totalDuration, + results: this.progress.results + }; + } + + /** + * 延迟函数 + * @param {number} ms - 毫秒数 + */ + delay(ms) { + return new Promise(resolve => setTimeout(resolve, ms)); + } + + /** + * 保存进度到文件 + */ + saveProgress() { + try { + const progressPath = path.join(process.cwd(), this.config.progressFile); + fs.writeFileSync(progressPath, JSON.stringify(this.progress.results, null, 2)); + } catch (error) { + console.error('Failed to save progress:', error.message); + } + } + + /** + * 加载之前的进度 + * @returns {array} 之前的处理结果 + */ + loadProgress() { + try { + const progressPath = path.join(process.cwd(), this.config.progressFile); + if (fs.existsSync(progressPath)) { + const content = fs.readFileSync(progressPath, 'utf-8'); + return JSON.parse(content); + } + } catch (error) { + console.error('Failed to load progress:', error.message); + } + return []; + } + + /** + * 清除进度文件 + */ + clearProgress() { + try { + const progressPath = path.join(process.cwd(), this.config.progressFile); + if (fs.existsSync(progressPath)) { + fs.unlinkSync(progressPath); + console.log('Progress cleared'); + } + } catch (error) { + console.error('Failed to clear progress:', error.message); + } + } + + /** + * 生成批处理报告 + * @returns {object} 报告数据 + */ + generateReport() { + const successResults = this.progress.results.filter(r => r.status === 'success'); + const failedResults = this.progress.results.filter(r => r.status === 'failed'); + + const totalImages = successResults.reduce((sum, r) => { + return sum + (r.summary?.success || 0); + }, 0); + + return { + summary: { + total_skus: this.progress.total, + successful_skus: this.progress.completed, + failed_skus: this.progress.failed, + success_rate: ((this.progress.completed / this.progress.total) * 100).toFixed(1) + '%', + total_images_generated: totalImages, + total_duration: this.progress.totalDuration?.toFixed(1) + 's', + average_time_per_sku: (this.progress.totalDuration / this.progress.total).toFixed(1) + 's' + }, + failed_skus: failedResults.map(r => ({ + sku_id: r.sku_id, + error: r.error + })), + successful_skus: successResults.map(r => ({ + sku_id: r.sku_id, + images: r.summary + })) + }; + } +} + +/** + * 从文件加载SKU列表 + * @param {string} filePath - 文件路径（JSON或CSV） + * @returns {array} SKU数组 + */ +function loadSKUsFromFile(filePath) { + const content = fs.readFileSync(filePath, 'utf-8'); + const ext = path.extname(filePath).toLowerCase(); + + if (ext === '.json') { + const data = JSON.parse(content); + return Array.isArray(data) ? data : [data]; + } + + // 简单CSV解析（假设第一行是表头） + if (ext === '.csv') { + const lines = content.split('\n').filter(line => line.trim()); + const headers = lines[0].split(',').map(h => h.trim()); + + return lines.slice(1).map(line => { + const values = line.split(',').map(v => v.trim()); + const obj = {}; + headers.forEach((h, i) => { + obj[h] = values[i]; + }); + return obj; + }); + } + + throw new Error('Unsupported file format. Use .json or .csv'); +} + +module.exports = { + BatchProcessor, + loadSKUsFromFile, + DEFAULT_CONFIG +}; + + + diff --git a/lib/brain.js b/lib/brain.js new file mode 100644 index 0000000..fa61a77 --- /dev/null +++ b/lib/brain.js @@ -0,0 +1,332 @@ +/** + * Brain决策逻辑 + * 调用LLM分析产品信息并生成12张图的规划 + */ + +const fs = require('fs'); +const path = require('path'); +const axios = require('axios'); + +// 读取Brain System Prompt +const brainPromptPath = path.join(__dirname, '../prompts/brain-system.md'); +let brainSystemPrompt = ''; + +try { + brainSystemPrompt = fs.readFileSync(brainPromptPath, 'utf-8'); +} catch (err) { + console.error('Failed to load brain system prompt:', err.message); +} + +/** + * 调用LLM生成图片规划 + * @param {object} sku - SKU数据 + * @param {object} options - 选项 + * @param {string} options.apiKey - API密钥 + * @param {string} options.apiUrl - API地址 + * @param {string} options.model - 模型名称 + * @returns {Promise} Brain输出的图片规划 + */ +async function generateImagePlan(sku, options = {}) { + const { + apiKey = process.env.API_KEY, + apiUrl = 'https://api2img.shubiaobiao.com/v1/chat/completions', + model = 'gemini-3-pro-preview' + } = options; + + if (!apiKey) { + throw new Error('API_KEY is required'); + } + + // 构建用户消息 + const userMessage = `请根据以下产品信息，规划12张电商图片（6张主图 + 6张A+图）的内容策略。 + +## 产品信息 + +\`\`\`json +${JSON.stringify(sku, null, 2)} +\`\`\` + +请严格按照System Prompt中的输出格式返回JSON。`; + + try { + const response = await axios.post(apiUrl, { + model: model, + messages: [ + { role: 'system', content: brainSystemPrompt }, + { role: 'user', content: userMessage } + ], + temperature: 0.7, + max_tokens: 8000 + }, { + headers: { + 'Content-Type': 'application/json', + 'Authorization': `Bearer ${apiKey}` + }, + timeout: 120000 // 2分钟超时 + }); + + // 解析响应 + let content = response.data.choices?.[0]?.message?.content; + + if (!content) { + throw new Error('Empty response from LLM'); + } + + // 清理响应内容 + content = cleanLLMResponse(content); + + // 解析JSON + const plan = parseJSONFromResponse(content); + + // 验证输出格式 + validatePlan(plan); + + return plan; + + } catch (error) { + console.error('Brain generation error:', error.message); + throw error; + } +} + +/** + * 清理LLM响应 + * @param {string} content - 原始响应内容 + * @returns {string} 清理后的内容 + */ +function cleanLLMResponse(content) { + // 移除 块 + content = content.replace(/[\s\S]*?<\/think>/gi, '').trim(); + + // 移除可能的markdown标记 + content = content.replace(/^```json\s*/i, ''); + content = content.replace(/\s*```$/i, ''); + + return content.trim(); +} + +/** + * 从响应中解析JSON + * @param {string} content - 响应内容 + * @returns {object} 解析后的JSON对象 + */ +function parseJSONFromResponse(content) { + // 尝试直接解析 + try { + return JSON.parse(content); + } catch (e) { + // 尝试提取JSON块 + const jsonMatch = content.match(/\{[\s\S]*\}/); + if (jsonMatch) { + try { + return JSON.parse(jsonMatch[0]); + } catch (e2) { + // 尝试修复常见问题 + let fixed = jsonMatch[0]; + + // 修复尾部逗号 + fixed = fixed.replace(/,\s*([}\]])/g, '$1'); + + // 修复未闭合的字符串 + fixed = fixed.replace(/:\s*"([^"]*?)(?=\s*[,}\]])/g, ': "$1"'); + + try { + return JSON.parse(fixed); + } catch (e3) { + throw new Error('Failed to parse JSON from LLM response: ' + e.message); + } + } + } + throw new Error('No valid JSON found in LLM response'); + } +} + +/** + * 验证Brain输出的计划 + * @param {object} plan - 图片规划 + */ +function validatePlan(plan) { + if (!plan.analysis) { + throw new Error('Missing analysis in plan'); + } + + if (!plan.images || !Array.isArray(plan.images)) { + throw new Error('Missing or invalid images array in plan'); + } + + if (plan.images.length !== 12) { + console.warn(`Expected 12 images, got ${plan.images.length}`); + } + + // 检查必要字段 + const requiredFields = ['id', 'type', 'ai_prompt']; + for (const image of plan.images) { + for (const field of requiredFields) { + if (!image[field]) { + throw new Error(`Missing ${field} in image ${image.id || 'unknown'}`); + } + } + } + + // 检查图片ID是否正确 + const expectedIds = [ + 'Main_01', 'Main_02', 'Main_03', 'Main_04', 'Main_05', 'Main_06', + 'APlus_01', 'APlus_02', 'APlus_03', 'APlus_04', 'APlus_05', 'APlus_06' + ]; + + const actualIds = plan.images.map(img => img.id); + const missingIds = expectedIds.filter(id => !actualIds.includes(id)); + + if (missingIds.length > 0) { + console.warn(`Missing image IDs: ${missingIds.join(', ')}`); + } +} + +/** + * 生成默认的图片规划（当Brain调用失败时使用） + * @param {object} sku - SKU数据 + * @returns {object} 默认的图片规划 + */ +function generateDefaultPlan(sku) { + const topSellingPoints = sku.selling_points.slice(0, 3).map(sp => sp.key); + const productColor = sku.color.name; + const productName = sku.product_name; + + return { + analysis: { + product_category: 'Pet Recovery Cone', + core_selling_points: topSellingPoints, + background_strategy: 'light', + logo_color: 'red', + visual_style: 'Warm, caring home environment' + }, + images: [ + { + id: 'Main_01', + type: 'Hero Scene + Key Benefits', + purpose: '首图决定点击率，展示产品使用状态+核心卖点', + layout_description: `上60%：猫咪佩戴${productColor}${productName}的居家场景。下40%：浅色Banner展示3个核心卖点。`, + ai_prompt: `Professional Amazon main image, 1:1 square format. A beautiful cat wearing a ${productColor} soft cone collar in a cozy modern home interior. Natural soft lighting, warm atmosphere. Bottom section shows a light blue rounded banner with "DESIGNED FOR COMFORTABLE RECOVERY" text and three small product detail images highlighting key features. Clean, professional pet product photography style. --ar 1:1`, + logo_placement: { position: 'bottom-right', type: 'combined', color: 'red' } + }, + { + id: 'Main_02', + type: 'Product Detail + Craftsmanship', + purpose: '展示产品结构和工艺细节', + layout_description: `产品平铺俯视图，配合2-3个细节放大框展示材质和工艺`, + ai_prompt: `Professional product flat lay image, 1:1 square format. ${productColor} soft cone collar displayed from above on white background. Two circular detail callouts showing: 1) waterproof PU outer layer texture, 2) soft cotton inner lining. Clean product photography, even lighting, high detail. Brand logo "TOUCHDOG®" visible on right petal. --ar 1:1`, + logo_placement: { position: 'none', type: 'none', color: 'red' } + }, + { + id: 'Main_03', + type: 'Function Demonstration', + purpose: '展示可调节绑带等功能特性', + layout_description: `主场景展示佩戴状态，配合细节图展示调节功能`, + ai_prompt: `Professional Amazon feature demonstration image, 1:1 square format. Main image shows cat wearing ${productColor} cone, looking comfortable. Detail callouts show: adjustable velcro strap being secured, snug fit around neck. Text overlay "ADJUSTABLE STRAP FOR A SECURE FIT". Light blue background with paw print decorations. --ar 1:1`, + logo_placement: { position: 'bottom-right', type: 'combined', color: 'red' } + }, + { + id: 'Main_04', + type: 'Use Cases Grid', + purpose: '展示4种适用场景', + layout_description: `四宫格布局，展示术后护理、滴药、剪指甲、梳毛四个场景`, + ai_prompt: `Professional Amazon use case image, 1:1 square format. Four-panel grid showing: 1) cat resting after surgery wearing cone, 2) owner applying eye drops to cat, 3) owner trimming cat's nails, 4) cat being groomed. Each panel labeled: "POSTOPERATIVE CARE", "EYE MEDICATION", "NAIL TRIMMING", "GROOMING". Light blue header banner "APPLICABLE SCENARIOS". --ar 1:1`, + logo_placement: { position: 'bottom-right', type: 'combined', color: 'red' } + }, + { + id: 'Main_05', + type: 'Size & Specifications', + purpose: '展示尺寸规格信息', + layout_description: `产品尺寸标注图配合尺码对照表`, + ai_prompt: `Professional Amazon size guide image, 1:1 square format. ${productColor} cone collar with dimension annotations showing depth measurement (${sku.specs.depth_cm}cm). Clean size chart showing XS to XL with neck circumference ranges. Professional infographic style, clear readable text. Light background. --ar 1:1`, + logo_placement: { position: 'bottom-right', type: 'combined', color: 'red' } + }, + { + id: 'Main_06', + type: 'Brand & Benefits Summary', + purpose: '强化品牌认知和卖点汇总', + layout_description: `品牌Logo突出展示，配合核心卖点图标`, + ai_prompt: `Professional Amazon brand summary image, 1:1 square format. Touchdog brand logo prominently displayed. Key benefit icons with text: "65g Ultra Light", "Waterproof PU", "Breathable Cotton", "Adjustable Fit", "Foldable Design". Cat wearing ${productColor} cone as background element. Premium brand aesthetic. --ar 1:1`, + logo_placement: { position: 'center', type: 'combined', color: 'red' } + }, + { + id: 'APlus_01', + type: 'Brand Banner', + purpose: '品牌形象首图', + layout_description: `品牌名+产品名+生活场景大图`, + ai_prompt: `Professional Amazon A+ banner image, 970x600px landscape. Beautiful cat wearing ${productColor} Touchdog soft cone collar in warm modern home interior. Large "TOUCHDOG" brand text and "CAT SOFT CONE COLLAR" product name overlaid. Lifestyle photography, natural lighting, cozy atmosphere. --ar 3:2`, + logo_placement: { position: 'top-left', type: 'combined', color: 'red' } + }, + { + id: 'APlus_02', + type: 'Competitor Comparison', + purpose: '竞品对比展示优势', + layout_description: `左侧我们的产品（彩色+优点），右侧传统产品（灰色+缺点）`, + ai_prompt: `Professional Amazon A+ comparison image, 970x600px landscape. Left side (colored): Touchdog ${productColor} soft cone with green checkmark, labeled "OUR" with benefits "CLOUD-LIGHT COMFORT", "WIDER & CLEARER", "FOLDABLE & PORTABLE". Right side (grayscale): Generic plastic cone with red X, labeled "OTHER" with drawbacks "HEAVY & BULKY", "BLOCKS VISION & MOVEMENT", "HARD TO STORE". Center shows cat wearing our product. Warm beige background with paw prints. --ar 3:2`, + logo_placement: { position: 'bottom-right', type: 'combined', color: 'red' }, + is_comparison: true + }, + { + id: 'APlus_03', + type: 'Benefits Grid', + purpose: '核心卖点展示', + layout_description: `三宫格展示3个核心卖点`, + ai_prompt: `Professional Amazon A+ benefits image, 970x600px landscape. Three-panel layout showing key features: 1) "STURDY AND BREATHABLE" with fabric texture close-up, 2) "EASY TO CLEAN" with dimension annotation ${sku.specs.depth_cm}cm, 3) "REINFORCED STITCHING" with stitching detail. Header "ENGINEERED FOR UNCOMPROMISED COMFORT". Warm beige background. --ar 3:2`, + logo_placement: { position: 'bottom-right', type: 'combined', color: 'red' } + }, + { + id: 'APlus_04', + type: 'Features Grid', + purpose: '功能场景展示', + layout_description: `四宫格展示功能：易清洁、不影响进食、可翻折、360°舒适`, + ai_prompt: `Professional Amazon A+ features image, 970x600px landscape. Four vertical panels: 1) "HYGIENIC & EASY TO CLEAN" showing water-resistant surface, 2) "UNRESTRICTED EATING/DRINKING" showing cat eating while wearing cone, 3) "REVERSIBLE WEAR" showing flip-over design, 4) "360° COMFORT" showing cat sleeping peacefully. Warm beige background, consistent styling. --ar 3:2`, + logo_placement: { position: 'bottom-right', type: 'combined', color: 'red' } + }, + { + id: 'APlus_05', + type: 'Material & Craftsmanship', + purpose: '材质工艺展示', + layout_description: `材质剖面和工艺细节展示`, + ai_prompt: `Professional Amazon A+ material image, 970x600px landscape. Close-up details of ${productColor} cone showing: waterproof PU outer layer with water droplets, soft cotton inner lining texture, reinforced stitching seams, embroidered TOUCHDOG logo. Technical infographic style with material callouts. Light background. --ar 3:2`, + logo_placement: { position: 'bottom-right', type: 'combined', color: 'red' } + }, + { + id: 'APlus_06', + type: 'Size Guide', + purpose: '尺寸选择指南', + layout_description: `完整尺码表+测量指南`, + ai_prompt: `Professional Amazon A+ size guide image, 970x600px landscape. Comprehensive size chart showing all sizes (XS-XL) with neck circumference and depth measurements in both cm and inches. Illustration showing how to measure pet's neck. Clear, readable table format. Helpful sizing tips. Professional infographic design. --ar 3:2`, + logo_placement: { position: 'bottom-right', type: 'combined', color: 'red' } + } + ] + }; +} + +/** + * 主入口：生成图片规划 + * @param {object} sku - SKU数据 + * @param {object} options - 选项 + * @returns {Promise} 图片规划 + */ +async function planImages(sku, options = {}) { + try { + // 尝试调用LLM生成计划 + const plan = await generateImagePlan(sku, options); + console.log('Brain generated plan successfully'); + return plan; + } catch (error) { + console.error('Brain failed, using default plan:', error.message); + // 失败时使用默认计划 + return generateDefaultPlan(sku); + } +} + +module.exports = { + planImages, + generateImagePlan, + generateDefaultPlan, + validatePlan +}; + + + diff --git a/lib/constraint-injector.js b/lib/constraint-injector.js new file mode 100644 index 0000000..51217f2 --- /dev/null +++ b/lib/constraint-injector.js @@ -0,0 +1,369 @@ +/** + * 约束注入器 + * 自动将各类约束追加到AI生图Prompt中 + */ + +const fs = require('fs'); +const path = require('path'); + +// 读取约束模板 +const constraintsDir = path.join(__dirname, '../prompts/constraints'); + +/** + * 简单的模板引擎，替换 {{variable}} 占位符 + * @param {string} template - 模板字符串 + * @param {object} data - 数据对象 + * @returns {string} 替换后的字符串 + */ +function renderTemplate(template, data) { + return template.replace(/\{\{([^}]+)\}\}/g, (match, key) => { + const keys = key.trim().split('.'); + let value = data; + for (const k of keys) { + if (value && typeof value === 'object') { + // 处理数组索引 selling_points[0] + const arrayMatch = k.match(/^(\w+)\[(\d+)\]$/); + if (arrayMatch) { + value = value[arrayMatch[1]]?.[parseInt(arrayMatch[2])]; + } else { + value = value[k]; + } + } else { + return match; // 保留原占位符 + } + } + + if (Array.isArray(value)) { + return value.join(', '); + } + + return value !== undefined ? String(value) : match; + }); +} + +/** + * 处理Handlebars风格的循环 {{#each array}}...{{/each}} + * @param {string} template - 模板字符串 + * @param {object} data - 数据对象 + * @returns {string} 处理后的字符串 + */ +function processEachBlocks(template, data) { + const eachRegex = /\{\{#each\s+(\w+)\}\}([\s\S]*?)\{\{\/each\}\}/g; + + return template.replace(eachRegex, (match, arrayName, content) => { + const array = data[arrayName]; + if (!Array.isArray(array)) { + return ''; + } + + return array.map(item => { + // 处理 {{#if field}} 条件 + let processed = content.replace(/\{\{#if\s+(\w+)\}\}([\s\S]*?)\{\{\/if\}\}/g, (m, field, ifContent) => { + return item[field] ? ifContent : ''; + }); + + // 替换当前项的字段 + processed = processed.replace(/\{\{(\w+)\}\}/g, (m, field) => { + return item[field] !== undefined ? String(item[field]) : m; + }); + + return processed; + }).join('\n'); + }); +} + +/** + * 生成产品一致性约束 + * @param {object} sku - SKU数据 + * @returns {string} 约束文本 + */ +function generateProductConsistencyConstraint(sku) { + const template = ` +=== PRODUCT CONSISTENCY REQUIREMENTS (CRITICAL - DO NOT IGNORE) === + +The product shown in this image must EXACTLY match the reference images provided. + +PRODUCT SPECIFICATIONS: +- Product Type: ${sku.product_name} +- Color: ${sku.color.hex} (${sku.color.name}) +- Color Series: ${sku.color.series || 'Standard'} +- Edge/Binding Color: ${sku.color.edge_color || sku.color.hex} + +STRUCTURAL REQUIREMENTS: +- Shape: Soft cone collar with petal-like segments (NOT rigid plastic cone) +- Segments: Multiple soft fabric petals radiating from center opening +- Opening: Circular neck opening with ribbed cotton binding +- Closure: Velcro strap closure system + +BRAND LOGO ON PRODUCT: +- Text: "TOUCHDOG®" (UPPERCASE with ® symbol) +- Position: On one petal segment, typically right side (2-3 o'clock position when viewed from front) +- Style: Embroidered/stitched into fabric, slightly recessed +- Color: Darker or contrasting shade matching the product color + +TEXTURE & MATERIAL APPEARANCE: +- Outer Layer: Smooth, slightly glossy waterproof PU fabric +- Inner Layer: Visible soft cotton lining at edges +- Stitching: Reinforced seams, visible quilted pattern on petals +- Edge Binding: Ribbed cotton binding in ${sku.color.edge_color || 'matching color'} + +CRITICAL PROHIBITIONS: +- DO NOT alter the product shape or structure +- DO NOT change the color from specified hex value +- DO NOT move or resize the embroidered logo +- DO NOT add any elements not present in reference images +- DO NOT stylize, reimagine, or "improve" the product design +- DO NOT generate rigid plastic cone - must be SOFT fabric cone + +=== END PRODUCT CONSISTENCY REQUIREMENTS === +`; + return template.trim(); +} + +/** + * 生成卖点合规约束 + * @param {object} sku - SKU数据 + * @returns {string} 约束文本 + */ +function generateSellingPointConstraint(sku) { + const sellingPointsList = sku.selling_points.map(sp => { + let line = `- ${sp.title_en}`; + if (sp.value) line += ` (Value: ${sp.value})`; + if (sp.description_en) line += `: ${sp.description_en}`; + return line; + }).join('\n'); + + const visualPromptsList = sku.selling_points + .filter(sp => sp.visual_prompt) + .map(sp => `- ${sp.key}: ${sp.visual_prompt}`) + .join('\n'); + + const useCasesList = sku.use_cases + .map(uc => `- ${uc.name_en}`) + .join('\n'); + + const template = ` +=== SELLING POINTS COMPLIANCE (LEGAL REQUIREMENT) === + +ALL product claims, features, and specifications shown in this image must come EXACTLY from the provided data. + +APPROVED SELLING POINTS (use ONLY these): +${sellingPointsList} + +APPROVED SPECIFICATIONS (use EXACT values): +- Weight: ${sku.specs.weight} +- Depth: ${sku.specs.depth_cm}cm +- Available Sizes: ${sku.specs.sizes.join(', ')} +- Outer Material: ${sku.specs.materials?.outer || 'Waterproof PU'} +- Inner Material: ${sku.specs.materials?.inner || 'Cotton blend'} + +APPROVED USE CASES: +${useCasesList} + +PROHIBITED ACTIONS: +- DO NOT invent new features or benefits not listed above +- DO NOT modify numerical values (no rounding, no approximation) +- DO NOT use superlatives: "best", "first", "only", "most", "#1", "leading" +- DO NOT make comparative claims without data: "better than", "superior to" +- DO NOT add health claims not approved by regulations +- DO NOT promise specific outcomes: "guaranteed", "100% effective" + +VISUAL REPRESENTATION OF SELLING POINTS: +${visualPromptsList} + +=== END SELLING POINTS COMPLIANCE === +`; + return template.trim(); +} + +/** + * 生成竞品合规约束（仅用于竞品对比图） + * @param {object} sku - SKU数据 + * @returns {string} 约束文本 + */ +function generateCompetitorConstraint(sku) { + const productCategory = sku.product_name.includes('Cone') ? 'Plastic Cone' : 'Product'; + + const template = ` +=== COMPETITOR COMPARISON COMPLIANCE (LEGAL RED LINE) === + +This is a product comparison image. You MUST follow these legal requirements: + +OUR PRODUCT SIDE (Left/Colored): +- Show the Touchdog ${sku.product_name} in FULL COLOR +- Product color: ${sku.color.hex} (${sku.color.name}) +- Use green checkmark icon (✓) to indicate positive +- Label as "OUR" or "TOUCHDOG" +- List ONLY the approved selling points from provided data +- Product must match reference images exactly + +COMPETITOR SIDE (Right/Grayscale): +- Label as "OTHER" or "Traditional ${productCategory}" ONLY +- DO NOT use any competitor brand names +- DO NOT use any competitor logos or trademarks +- DO NOT show any identifiable competitor product designs +- Show a GENERIC, UNBRANDED version of traditional product +- Apply GRAYSCALE filter to entire competitor side +- Use red X icon to indicate negative + +APPROVED COMPETITOR DISADVANTAGES (generic industry facts only): +- "Heavy & Bulky" +- "Blocks Vision & Movement" +- "Hard to Store" +- "Uncomfortable for Extended Wear" +- "Difficult to Clean" +- "Rigid and Inflexible" + +VISUAL TREATMENT: +- Our side: Vibrant, colorful, positive imagery +- Competitor side: Muted, grayscale, neutral imagery +- Clear visual contrast between the two sides +- Center divider or clear separation between sides + +STRICTLY PROHIBITED: +- ❌ Any specific competitor brand name +- ❌ Any competitor logo or trademark symbol +- ❌ Any identifiable competitor product photo +- ❌ Claims like "better than [Brand]" +- ❌ Using competitor's actual product images + +=== END COMPETITOR COMPARISON COMPLIANCE === +`; + return template.trim(); +} + +/** + * 生成品牌VI约束 + * @param {object} sku - SKU数据 + * @param {object} logoPlacement - Logo放置信息 + * @returns {string} 约束文本 + */ +function generateBrandVIConstraint(sku, logoPlacement = {}) { + const position = logoPlacement.position || 'bottom-right'; + const logoType = logoPlacement.type || 'combined'; + const logoColor = logoPlacement.color || 'red'; + + const template = ` +=== BRAND VI REQUIREMENTS === + +EMBROIDERED LOGO ON PRODUCT: +- Text: "TOUCHDOG®" (UPPERCASE with ® symbol) +- Position: Right petal segment, 2-3 o'clock position +- Style: Embroidered, stitched into fabric +- Color: Slightly darker shade of product color (${sku.color.hex}) + +E-COMMERCE IMAGE BRAND LOGO: +- Position: ${position} +- Type: ${logoType === 'combined' ? 'Graphic icon + "touchdog®" text + "wow pretty"' : logoType} +- Color: ${logoColor === 'red' ? 'Red (#E60012)' : 'White'} + +LOGO SPECIFICATIONS: +- Clear space: Minimum 1/4 of logo height on all sides +- Minimum size: Combined logo ≥ 46px height +- Tagline: "wow pretty" (for international markets) + +PROHIBITED LOGO MODIFICATIONS: +- ❌ NO tilting or rotation +- ❌ NO outlines or strokes +- ❌ NO gradient fills +- ❌ NO drop shadows +- ❌ NO proportion changes +- ❌ NO underlines + +BRAND TYPOGRAPHY: +- Headlines: Clean sans-serif, bold weight +- Body text: Clean sans-serif, medium weight +- Style: Clean, modern, professional + +=== END BRAND VI REQUIREMENTS === +`; + return template.trim(); +} + +/** + * 注入所有约束到Prompt + * @param {string} originalPrompt - 原始Prompt + * @param {object} sku - SKU数据 + * @param {object} options - 选项 + * @param {boolean} options.isComparison - 是否是竞品对比图 + * @param {object} options.logoPlacement - Logo放置信息 + * @returns {string} 注入约束后的完整Prompt + */ +function injectConstraints(originalPrompt, sku, options = {}) { + const { isComparison = false, logoPlacement = {} } = options; + + const constraints = []; + + // 始终添加产品一致性约束 + constraints.push(generateProductConsistencyConstraint(sku)); + + // 始终添加卖点合规约束 + constraints.push(generateSellingPointConstraint(sku)); + + // 如果是竞品对比图，添加竞品合规约束 + if (isComparison) { + constraints.push(generateCompetitorConstraint(sku)); + } + + // 始终添加品牌VI约束 + constraints.push(generateBrandVIConstraint(sku, logoPlacement)); + + // 添加参考图提示 + if (sku.ref_images && sku.ref_images.length > 0) { + constraints.push(` +=== REFERENCE IMAGES === +The following reference images must be used to ensure product consistency: +${sku.ref_images.map((url, i) => `- Reference ${i + 1}: ${url}`).join('\n')} +Product in generated image must match these reference images exactly. +=== END REFERENCE IMAGES === +`); + } + + // 组合最终Prompt + return `${originalPrompt} + +${constraints.join('\n\n')}`; +} + +/** + * 提取图片的宽高比参数 + * @param {string} imageId - 图片ID (Main_01 或 APlus_01) + * @returns {string} 宽高比参数 + */ +function getAspectRatio(imageId) { + if (imageId.startsWith('Main_')) { + return '1:1'; + } else if (imageId.startsWith('APlus_')) { + return '3:2'; + } + return '1:1'; +} + +/** + * 获取图片尺寸 + * @param {string} imageId - 图片ID + * @returns {object} 尺寸信息 + */ +function getImageSize(imageId) { + if (imageId.startsWith('Main_')) { + return { width: 1600, height: 1600, label: '1600x1600' }; + } else if (imageId.startsWith('APlus_')) { + return { width: 970, height: 600, label: '970x600' }; + } + return { width: 1600, height: 1600, label: '1600x1600' }; +} + +module.exports = { + injectConstraints, + generateProductConsistencyConstraint, + generateSellingPointConstraint, + generateCompetitorConstraint, + generateBrandVIConstraint, + getAspectRatio, + getImageSize, + renderTemplate, + processEachBlocks +}; + + + diff --git a/lib/image-processor.js b/lib/image-processor.js new file mode 100644 index 0000000..9d75d43 --- /dev/null +++ b/lib/image-processor.js @@ -0,0 +1,338 @@ +/** + * 图片处理工具模块 + * 使用Sharp库实现：抠图、合成、叠加文字/标注 + */ + +const sharp = require('sharp'); +const fs = require('fs'); +const path = require('path'); + +/** + * 调整图片大小，保持比例 + */ +async function resizeImage(inputPath, width, height, fit = 'contain') { + const buffer = await sharp(inputPath) + .resize(width, height, { fit, background: { r: 255, g: 255, b: 255, alpha: 0 } }) + .toBuffer(); + return buffer; +} + +/** + * 将图片转换为PNG（保持透明度） + */ +async function toPng(inputPath) { + return await sharp(inputPath).png().toBuffer(); +} + +/** + * 创建纯色背景 + */ +async function createSolidBackground(width, height, color = '#FFFFFF') { + // 解析颜色 + const r = parseInt(color.slice(1, 3), 16); + const g = parseInt(color.slice(3, 5), 16); + const b = parseInt(color.slice(5, 7), 16); + + return await sharp({ + create: { + width, + height, + channels: 3, + background: { r, g, b } + } + }).jpeg().toBuffer(); +} + +/** + * 创建渐变背景 + */ +async function createGradientBackground(width, height, color1 = '#F5EDE4', color2 = '#FFFFFF') { + // 创建简单的渐变效果（从上到下） + const svg = ` + + + + + + + + + + `; + + return await sharp(Buffer.from(svg)).jpeg().toBuffer(); +} + +/** + * 合成多个图层 + * @param {Buffer} baseImage - 底图 + * @param {Array} layers - 图层数组 [{buffer, left, top, width?, height?}] + */ +async function compositeImages(baseImage, layers) { + let composite = sharp(baseImage); + + const compositeInputs = []; + + for (const layer of layers) { + let input = layer.buffer; + + // 如果需要调整大小 + if (layer.width || layer.height) { + input = await sharp(layer.buffer) + .resize(layer.width, layer.height, { fit: 'contain', background: { r: 0, g: 0, b: 0, alpha: 0 } }) + .toBuffer(); + } + + compositeInputs.push({ + input, + left: layer.left || 0, + top: layer.top || 0 + }); + } + + return await composite.composite(compositeInputs).toBuffer(); +} + +/** + * 在图片上叠加文字 + */ +async function addTextOverlay(baseImage, texts) { + // texts: [{text, x, y, fontSize, color, fontWeight, align}] + + const metadata = await sharp(baseImage).metadata(); + const width = metadata.width; + const height = metadata.height; + + // 创建SVG文字层 + const textElements = texts.map(t => { + const fontSize = t.fontSize || 40; + const color = t.color || '#333333'; + const fontWeight = t.fontWeight || 'bold'; + const textAnchor = t.align === 'center' ? 'middle' : (t.align === 'right' ? 'end' : 'start'); + + return `${escapeXml(t.text)}`; + }).join('\n'); + + const svg = ` + + ${textElements} + + `; + + return await sharp(baseImage) + .composite([{ input: Buffer.from(svg), top: 0, left: 0 }]) + .toBuffer(); +} + +/** + * 创建圆形裁剪的图片（用于细节放大镜效果） + */ +async function createCircularCrop(inputBuffer, diameter) { + const circle = Buffer.from(` + + + + `); + + const resized = await sharp(inputBuffer) + .resize(diameter, diameter, { fit: 'cover' }) + .toBuffer(); + + return await sharp(resized) + .composite([{ input: circle, blend: 'dest-in' }]) + .png() + .toBuffer(); +} + +/** + * 添加圆形边框 + */ +async function addCircleBorder(inputBuffer, diameter, borderWidth = 3, borderColor = '#2D4A3E') { + const r = parseInt(borderColor.slice(1, 3), 16); + const g = parseInt(borderColor.slice(3, 5), 16); + const b = parseInt(borderColor.slice(5, 7), 16); + + const borderSvg = Buffer.from(` + + + + `); + + return await sharp(inputBuffer) + .composite([{ input: borderSvg, top: 0, left: 0 }]) + .toBuffer(); +} + +/** + * 创建带箭头的标注线 + */ +async function createArrowLine(width, height, fromX, fromY, toX, toY, color = '#2D4A3E') { + const r = parseInt(color.slice(1, 3), 16); + const g = parseInt(color.slice(3, 5), 16); + const b = parseInt(color.slice(5, 7), 16); + + // 计算箭头角度 + const angle = Math.atan2(toY - fromY, toX - fromX); + const arrowLength = 15; + const arrowAngle = Math.PI / 6; + + const arrow1X = toX - arrowLength * Math.cos(angle - arrowAngle); + const arrow1Y = toY - arrowLength * Math.sin(angle - arrowAngle); + const arrow2X = toX - arrowLength * Math.cos(angle + arrowAngle); + const arrow2Y = toY - arrowLength * Math.sin(angle + arrowAngle); + + const svg = ` + + + + + `; + + return Buffer.from(svg); +} + +/** + * 创建标题横幅 + */ +async function createTitleBanner(width, height, text, bgColor = '#2D4A3E', textColor = '#FFFFFF') { + const fontSize = Math.floor(height * 0.5); + + const svg = ` + + + "${escapeXml(text)}" + + `; + + return await sharp(Buffer.from(svg)).png().toBuffer(); +} + +/** + * 将图片转为灰度（用于竞品对比） + */ +async function toGrayscale(inputBuffer) { + return await sharp(inputBuffer).grayscale().toBuffer(); +} + +/** + * 调整图片亮度/对比度 + */ +async function adjustBrightness(inputBuffer, brightness = 1.0) { + return await sharp(inputBuffer) + .modulate({ brightness }) + .toBuffer(); +} + +/** + * 添加阴影效果 + */ +async function addShadow(inputBuffer, offsetX = 5, offsetY = 5, blur = 10, opacity = 0.3) { + const metadata = await sharp(inputBuffer).metadata(); + const width = metadata.width + offsetX + blur * 2; + const height = metadata.height + offsetY + blur * 2; + + // 创建阴影层 + const shadowBuffer = await sharp(inputBuffer) + .greyscale() + .modulate({ brightness: 0 }) + .blur(blur) + .toBuffer(); + + // 创建透明背景 + const background = await sharp({ + create: { + width, + height, + channels: 4, + background: { r: 255, g: 255, b: 255, alpha: 0 } + } + }).png().toBuffer(); + + // 合成 + return await sharp(background) + .composite([ + { input: shadowBuffer, left: offsetX + blur, top: offsetY + blur, blend: 'over' }, + { input: inputBuffer, left: blur, top: blur } + ]) + .toBuffer(); +} + +/** + * 裁剪图片的特定区域 + */ +async function cropRegion(inputBuffer, left, top, width, height) { + return await sharp(inputBuffer) + .extract({ left, top, width, height }) + .toBuffer(); +} + +/** + * 辅助函数：转义XML特殊字符 + */ +function escapeXml(text) { + return text + .replace(/&/g, '&') + .replace(//g, '>') + .replace(/"/g, '"') + .replace(/'/g, '''); +} + +/** + * 保存图片到文件 + */ +async function saveImage(buffer, outputPath, format = 'jpeg', quality = 90) { + let pipeline = sharp(buffer); + + if (format === 'jpeg' || format === 'jpg') { + pipeline = pipeline.jpeg({ quality }); + } else if (format === 'png') { + pipeline = pipeline.png(); + } + + await pipeline.toFile(outputPath); + return outputPath; +} + +/** + * 读取图片为Buffer + */ +async function readImage(imagePath) { + return fs.readFileSync(imagePath); +} + +/** + * 获取图片尺寸 + */ +async function getImageSize(inputPath) { + const metadata = await sharp(inputPath).metadata(); + return { width: metadata.width, height: metadata.height }; +} + +module.exports = { + resizeImage, + toPng, + createSolidBackground, + createGradientBackground, + compositeImages, + addTextOverlay, + createCircularCrop, + addCircleBorder, + createArrowLine, + createTitleBanner, + toGrayscale, + adjustBrightness, + addShadow, + cropRegion, + saveImage, + readImage, + getImageSize +}; + + diff --git a/lib/template-config.js b/lib/template-config.js new file mode 100644 index 0000000..a4124d9 --- /dev/null +++ b/lib/template-config.js @@ -0,0 +1,629 @@ +/** + * 可配置的套路模板系统 + * 运营人员可以自定义每张图的布局和内容 + */ + +// ============================================================ +// 默认套路配置（基于真实交付成品分析） +// ============================================================ + +const DEFAULT_MAIN_TEMPLATES = { + // Main_01: 场景首图 + 卖点文字 + Main_01: { + type: 'lifestyle_with_features', + name: '场景首图+卖点', + aspectRatio: '1:1', + layout: { + scene: 'left-center', // 场景图位置 + title: 'center-bottom', // 标题位置 + features: 'bottom-row' // 卖点位置 + }, + config: { + title: 'DESIGNED FOR COMFORTABLE RECOVERY', + titleStyle: 'curved-banner', // curved-banner | simple | none + features: [ + { icon: 'egg', text: 'LIGHTER THAN AN EGG' }, + { icon: 'water', text: 'WATERPROOF & EASY WIPE' }, + { icon: 'cloud', text: 'BREATHABLE COTTON LINING' } + ], + background: 'warm-home' + } + }, + + // Main_02: 白底平铺 + 局部放大（关键改进！） + Main_02: { + type: 'product_with_callouts', + name: '白底平铺+细节放大', + aspectRatio: '1:1', + layout: { + product: 'center', + callouts: 'corners' // 放大镜效果在角落 + }, + config: { + title: 'DURABLE WATERPROOF PU LAYER', + titlePosition: 'top', + callouts: [ + { + position: 'bottom-left', + target: 'material-edge', + label: 'DURABLE WATERPROOF PU LAYER', + hasArrow: true + }, + { + position: 'bottom-right', + target: 'neck-binding', + label: 'DOUBLE-LAYER COMFORT', + hasArrow: true + } + ], + background: 'white' + } + }, + + // Main_03: 功能调节展示 + Main_03: { + type: 'feature_showcase', + name: '功能调节展示', + aspectRatio: '1:1', + layout: { + mainScene: 'left', + featureCircles: 'right-column' + }, + config: { + title: 'ADJUSTABLE STRAP FOR A SECURE FIT', + titlePosition: 'top-left', + mainScene: { + type: 'cat-wearing', + background: 'lifestyle' + }, + featureCircles: [ + { label: 'SECURE THE ADJUSTABLE BELLY STRAP', showDetail: 'velcro-close-up' }, + { label: 'ADJUST FOR A SNUG FIT', showDetail: 'full-product-view' } + ], + background: 'matching-color' // 使用产品主色作为背景 + } + }, + + // Main_04: 多场景使用（4宫格） + Main_04: { + type: 'multi_scenario_grid', + name: '多场景使用', + aspectRatio: '1:1', + layout: { + grid: '2x2', + captionPosition: 'below-each' + }, + config: { + scenarios: [ + { scene: 'standing', caption: '• HYGIENIC & EASY TO CLEAN', subtext: 'WATERPROOF OUTER LAYER' }, + { scene: 'eating', caption: '• UNRESTRICTED EATING/DRINKING', subtext: 'SPECIALLY DESIGNED OPENING' }, + { scene: 'playing', caption: '• REVERSIBLE WEAR', subtext: 'FLIP-OVER DESIGN' }, + { scene: 'sleeping', caption: '• 360° COMFORT', subtext: 'FREE MOVEMENT' } + ], + background: 'warm-beige' + } + }, + + // Main_05: 尺寸图 + Main_05: { + type: 'size_chart', + name: '尺寸图', + aspectRatio: '1:1', + layout: { + product: 'top-center', + table: 'bottom' + }, + config: { + title: 'PRODUCT SIZE', + measurements: ['NECK', 'WIDTH'], + sizeChart: { + XS: { neck: '5.6-6.8IN', depth: '3.2IN' }, + S: { neck: '7.2-8.4IN', depth: '4IN' }, + M: { neck: '8.8-10.4IN', depth: '5IN' }, + L: { neck: '10.8-12.4IN', depth: '6IN' }, + XL: { neck: '12.8-14.4IN', depth: '7IN' } + }, + footer: 'NOTE: ALWAYS MEASURE YOUR PET\'S NECK BEFORE SELECTING A SIZE' + } + }, + + // Main_06: 多角度展示 + Main_06: { + type: 'multiple_angles', + name: '多角度展示', + aspectRatio: '1:1', + layout: { + images: 'side-by-side', + divider: 'curved-line' + }, + config: { + angles: [ + { view: 'front', petType: 'cat' }, + { view: 'side', petType: 'cat' } + ], + background: 'warm-interior' + } + } +}; + +const DEFAULT_APLUS_TEMPLATES = { + // APlus_01: 品牌横幅 + APlus_01: { + type: 'brand_banner', + name: '品牌横幅', + aspectRatio: '3:2', + config: { + brandName: 'TOUCHDOG', + productName: 'CAT SOFT CONE COLLAR', + brandStyle: 'playful-curved', // 品牌字体风格 + brandColor: '#E8A87C', // 珊瑚色 + scene: 'cat-on-furniture', + background: 'warm-home' + } + }, + + // APlus_02: 对比图（关键改进！） + APlus_02: { + type: 'comparison', + name: '对比图', + aspectRatio: '3:2', + layout: { + left: 'our-product', + right: 'competitor', + center: 'none' // 不要中间的产品图！ + }, + config: { + leftSide: { + label: 'OUR', + labelBg: '#E8876C', + checkmark: true, + colorful: true, + sellingPoints: [ + 'CLOUD-LIGHT COMFORT', + 'WIDER & CLEARER', + 'FOLDABLE & PORTABLE' + ] + }, + rightSide: { + label: 'OTHER', + labelBg: '#808080', + xmark: true, + grayscale: true, + weaknesses: [ + 'HEAVY & BULKY', + 'BLOCKS VISION & MOVEMENT', + 'HARD TO STORE' + ] + }, + background: 'warm-beige' + } + }, + + // APlus_03: 功能细节 + APlus_03: { + type: 'feature_details', + name: '功能细节', + aspectRatio: '3:2', + config: { + title: 'ENGINEERED FOR UNCOMPROMISED COMFORT', + detailImages: [ + { focus: 'inner-lining', caption: 'STURDY AND BREATHABLE', subtext: 'DURABLE AND COMFORTABLE' }, + { focus: 'wearing-with-size', caption: 'EASY TO CLEAN, STYLISH', subtext: 'AND ATTRACTIVE' }, + { focus: 'stitching-detail', caption: 'REINFORCED STITCHING', subtext: 'AND DURABLE FABRIC' } + ], + background: 'warm-beige' + } + }, + + // APlus_04: 多场景横版 + APlus_04: { + type: 'multi_scenario_horizontal', + name: '多场景横版', + aspectRatio: '3:2', + config: { + scenarios: [ + { scene: 'standing', caption: '• HYGIENIC & EASY TO CLEAN' }, + { scene: 'eating', caption: '• UNRESTRICTED EATING/DRINKING' }, + { scene: 'playing', caption: '• REVERSIBLE WEAR' }, + { scene: 'sleeping', caption: '• 360° COMFORT' } + ] + } + }, + + // APlus_05: 多角度横版 + APlus_05: { + type: 'multiple_angles_horizontal', + name: '多角度横版', + aspectRatio: '3:2', + config: { + angles: ['front', 'side'], + dividerStyle: 'curved' + } + }, + + // APlus_06: 尺寸表横版 + APlus_06: { + type: 'size_chart_horizontal', + name: '尺寸表横版', + aspectRatio: '3:2', + config: { + title: 'PRODUCT SIZE', + layout: 'product-left-table-right' + } + } +}; + +// ============================================================ +// 从配置生成Prompt的函数 +// ============================================================ + +function generatePromptFromConfig(templateConfig, product, skuInfo) { + const { type, config, layout } = templateConfig; + + // 基础产品描述 + const productDesc = product.goldenDescription || 'Pet recovery cone collar'; + + switch (type) { + case 'lifestyle_with_features': + return generateLifestyleWithFeatures(productDesc, config, skuInfo); + + case 'product_with_callouts': + return generateProductWithCallouts(productDesc, config, skuInfo); + + case 'feature_showcase': + return generateFeatureShowcase(productDesc, config, skuInfo); + + case 'multi_scenario_grid': + return generateMultiScenarioGrid(productDesc, config, skuInfo); + + case 'size_chart': + return generateSizeChart(productDesc, config, skuInfo); + + case 'multiple_angles': + return generateMultipleAngles(productDesc, config, skuInfo); + + case 'brand_banner': + return generateBrandBanner(productDesc, config, skuInfo); + + case 'comparison': + return generateComparison(productDesc, config, skuInfo); + + case 'feature_details': + return generateFeatureDetails(productDesc, config, skuInfo); + + default: + return generateGenericPrompt(productDesc, config, skuInfo); + } +} + +// ============================================================ +// 各类型Prompt生成函数 +// ============================================================ + +function generateLifestyleWithFeatures(productDesc, config, skuInfo) { + return ` +[AMAZON MAIN IMAGE - LIFESTYLE WITH FEATURE TEXT] + +PRODUCT (MUST MATCH REFERENCE IMAGE EXACTLY): +${productDesc} + +SCENE: +- Beautiful ${skuInfo.petType || 'cat'} wearing the product comfortably +- Warm, cozy home interior background (soft focus) +- Product clearly visible, occupies 50-60% of frame +- Pet looks comfortable and relaxed + +TEXT OVERLAY REQUIREMENTS: +- ${config.titleStyle === 'curved-banner' ? 'CURVED BANNER in muted blue (#8BB8C4) across center' : 'SIMPLE TITLE at center-bottom'} +- TITLE TEXT: "${config.title}" in white, clean sans-serif font +- BOTTOM ROW: 3 feature boxes in rounded rectangles +${config.features.map((f, i) => ` - Box ${i+1}: "${f.text}" with ${f.icon} icon`).join('\n')} + +STYLE: +- Professional Amazon product photography +- Warm color palette +- Clean, readable text +- Subtle paw print watermarks +- 8K quality, 1:1 aspect ratio + +CRITICAL: Product must match reference image EXACTLY in shape, color, and material. +`.trim(); +} + +function generateProductWithCallouts(productDesc, config, skuInfo) { + return ` +[AMAZON MAIN IMAGE - PRODUCT WITH DETAIL CALLOUTS] + +PRODUCT (MUST MATCH REFERENCE IMAGE EXACTLY): +${productDesc} + +LAYOUT: +- TOP: Title "${config.title}" in dark green banner with white text +- CENTER: Product C-shape flat lay view on white/light background +- CALLOUT CIRCLES: Magnifying glass style detail views with arrows pointing to product + +CALLOUT DETAILS: +${config.callouts.map(c => `- ${c.position.toUpperCase()}: Circular magnified view of ${c.target} + Label: "${c.label}" + Arrow pointing from circle to corresponding area on product`).join('\n')} + +STYLE: +- Clean product photography with infographic elements +- Dark green (#2D4A3E) for title banner +- Thin lines/arrows connecting callouts to product +- Professional Amazon listing style +- 8K quality, 1:1 aspect ratio + +CRITICAL: Product must show C-shaped opening clearly. Match reference image EXACTLY. +`.trim(); +} + +function generateFeatureShowcase(productDesc, config, skuInfo) { + return ` +[AMAZON MAIN IMAGE - FEATURE SHOWCASE] + +PRODUCT (MUST MATCH REFERENCE IMAGE EXACTLY): +${productDesc} + +LAYOUT: +- BACKGROUND: Solid color matching product main color (use product's primary color) +- TOP-LEFT: Large title "${config.title}" in dark text +- LEFT SIDE (60%): Main lifestyle scene - ${skuInfo.petType || 'cat'} wearing product, walking through doorway/arch +- RIGHT SIDE (40%): 2 feature detail circles stacked vertically + +FEATURE CIRCLES: +${config.featureCircles.map((f, i) => `${i+1}. Circle showing: ${f.showDetail} + Button/label below: "${f.label}"`).join('\n')} + +STYLE: +- Lifestyle photography meets infographic +- Rounded rectangle buttons for labels +- Paw print decorations scattered on background +- Modern, clean design +- 8K quality, 1:1 aspect ratio + +CRITICAL: Product color and shape must match reference image EXACTLY. +`.trim(); +} + +function generateMultiScenarioGrid(productDesc, config, skuInfo) { + return ` +[AMAZON MAIN IMAGE - MULTI-SCENARIO 2x2 GRID] + +PRODUCT (MUST MATCH REFERENCE IMAGE EXACTLY): +${productDesc} + +LAYOUT: 2x2 grid of scenes, each in rounded rectangle frame + +${config.scenarios.map((s, i) => `SCENE ${i+1} (${['TOP-LEFT', 'TOP-RIGHT', 'BOTTOM-LEFT', 'BOTTOM-RIGHT'][i]}): +- ${skuInfo.petType || 'Cat'} ${s.scene} while wearing product +- Caption below: "${s.caption}" +- Subtext: "${s.subtext}"`).join('\n\n')} + +BACKGROUND: Warm beige (#F5EDE4) with subtle paw print watermarks + +STYLE: +- Each scene in rounded rectangle with slight shadow +- Captions in dark text, clean sans-serif +- Professional lifestyle photography +- 8K quality, 1:1 aspect ratio + +CRITICAL: Product in ALL 4 scenes must be identical and match reference image. +`.trim(); +} + +function generateSizeChart(productDesc, config, skuInfo) { + return ` +[AMAZON MAIN IMAGE - SIZE CHART INFOGRAPHIC] + +PRODUCT (MUST MATCH REFERENCE IMAGE EXACTLY): +${productDesc} + +LAYOUT: +- TOP: Title "${config.title}" in bold dark text +- CENTER: Product flat lay with measurement arrows and labels + - Arrow across neck opening: "NECK" + - Arrow across width: "WIDTH" +- BOTTOM: Size chart table + +SIZE CHART TABLE (clean, rounded corners): +| SIZE | NECK CIRCUMFERENCE | DEPTH | +${Object.entries(config.sizeChart).map(([size, dims]) => + `| ${size} | ${dims.neck} | ${dims.depth} |`).join('\n')} + +FOOTER TEXT: "${config.footer}" + +BACKGROUND: Warm beige with subtle paw prints + +STYLE: +- Clean infographic design +- Table with alternating row colors +- Professional product photography +- 8K quality, 1:1 aspect ratio +`.trim(); +} + +function generateMultipleAngles(productDesc, config, skuInfo) { + return ` +[AMAZON MAIN IMAGE - MULTIPLE ANGLES] + +PRODUCT (MUST MATCH REFERENCE IMAGE EXACTLY): +${productDesc} + +LAYOUT: +- Split view with decorative curved divider in center +- LEFT: ${skuInfo.petType || 'Cat'} wearing product, ${config.angles[0].view} view +- RIGHT: Same ${skuInfo.petType || 'cat'} or similar, ${config.angles[1].view} view + +SCENE: +- Warm home interior background +- Both pets look comfortable +- Product clearly visible from different angles + +STYLE: +- Lifestyle photography +- Soft warm lighting +- Decorative curved line or wave between images +- NO text overlay +- 8K quality, 1:1 aspect ratio + +CRITICAL: Product must be IDENTICAL in both views, matching reference image exactly. +`.trim(); +} + +function generateBrandBanner(productDesc, config, skuInfo) { + return ` +[AMAZON A+ BRAND BANNER - HORIZONTAL] + +PRODUCT (MUST MATCH REFERENCE IMAGE EXACTLY): +${productDesc} + +LAYOUT (970x600px aspect ratio): +- LEFT 40%: Brand text area with decorative elements +- RIGHT 60%: Lifestyle scene + +LEFT SIDE: +- Brand name "${config.brandName}" in playful, slightly curved font +- Color: ${config.brandColor} (coral/salmon) +- Decorative paw prints around text +- Product name "${config.productName}" below in smaller gray text + +RIGHT SIDE: +- ${skuInfo.petType || 'Cat'} wearing product on modern furniture +- Warm cozy interior background + +STYLE: +- Professional Amazon A+ content +- Warm, inviting color palette +- 8K quality, ~1.6:1 aspect ratio +`.trim(); +} + +function generateComparison(productDesc, config, skuInfo) { + const { leftSide, rightSide } = config; + + return ` +[AMAZON A+ COMPARISON IMAGE - SPLIT SCREEN] + +PRODUCT (MUST MATCH REFERENCE IMAGE EXACTLY): +${productDesc} + +LAYOUT: Two-column comparison, NO center product image + +LEFT SIDE (OUR PRODUCT): +- GREEN CHECKMARK icon at top +- "${leftSide.label}" label on ${leftSide.labelBg} background +- ${skuInfo.petType || 'Cat'} wearing OUR PRODUCT (must match reference exactly!) +- Cat looks HAPPY and comfortable +- FULL COLOR, warm tones +- Selling points in white text on colored background: +${leftSide.sellingPoints.map(p => ` • ${p}`).join('\n')} + +RIGHT SIDE (COMPETITOR): +- RED X-MARK icon at top +- "${rightSide.label}" label on ${rightSide.labelBg} background +- ${skuInfo.petType || 'Cat'} wearing HARD PLASTIC transparent cone +- Cat looks SAD/uncomfortable +- GRAYSCALE/desaturated +- Weaknesses in gray text: +${rightSide.weaknesses.map(p => ` • ${p}`).join('\n')} + +BACKGROUND: Warm beige (#F5EDE4) with paw print watermarks + +STYLE: +- Clear visual contrast between sides +- Professional comparison layout +- Clean readable text +- 8K quality, ~1.6:1 aspect ratio + +CRITICAL: +- LEFT product must match reference image EXACTLY (our soft cone) +- RIGHT shows generic hard plastic cone (NOT our product) +- NO product image in the center +`.trim(); +} + +function generateFeatureDetails(productDesc, config, skuInfo) { + return ` +[AMAZON A+ FEATURE DETAILS - HORIZONTAL] + +PRODUCT (MUST MATCH REFERENCE IMAGE EXACTLY): +${productDesc} + +LAYOUT: +- TOP: Large title "${config.title}" in bold dark font +- MIDDLE: 3 detail images in rounded rectangles, evenly spaced + +${config.detailImages.map((d, i) => `DETAIL ${i+1}: +- Focus: ${d.focus} +- Caption: "${d.caption}" +- Subtext: "${d.subtext}"`).join('\n\n')} + +BACKGROUND: Warm beige (#F5EDE4) with subtle paw print watermarks + +STYLE: +- Professional product detail photography +- Clean modern typography +- Rounded rectangle frames for each detail +- 8K quality, ~1.6:1 aspect ratio +`.trim(); +} + +function generateGenericPrompt(productDesc, config, skuInfo) { + return ` +[AMAZON PRODUCT IMAGE] + +PRODUCT: +${productDesc} + +REQUIREMENTS: +- Professional product photography +- Match reference image exactly +- High quality, clear details +- 8K resolution +`.trim(); +} + +// ============================================================ +// 导出 +// ============================================================ + +module.exports = { + DEFAULT_MAIN_TEMPLATES, + DEFAULT_APLUS_TEMPLATES, + generatePromptFromConfig, + + // 生成所有12张图的Prompts + generateAllPrompts: (product, skuInfo, customConfig = {}) => { + const mainTemplates = { ...DEFAULT_MAIN_TEMPLATES, ...customConfig.main }; + const aplusTemplates = { ...DEFAULT_APLUS_TEMPLATES, ...customConfig.aplus }; + + const prompts = []; + + // 主图6张 + for (const [id, template] of Object.entries(mainTemplates)) { + prompts.push({ + id, + name: template.name, + aspectRatio: template.aspectRatio || '1:1', + type: template.type, + prompt: generatePromptFromConfig(template, product, skuInfo) + }); + } + + // A+图6张 + for (const [id, template] of Object.entries(aplusTemplates)) { + prompts.push({ + id, + name: template.name, + aspectRatio: template.aspectRatio || '3:2', + type: template.type, + prompt: generatePromptFromConfig(template, product, skuInfo) + }); + } + + return prompts; + } +}; + + diff --git a/lib/vision-extractor.js b/lib/vision-extractor.js new file mode 100644 index 0000000..7c18056 --- /dev/null +++ b/lib/vision-extractor.js @@ -0,0 +1,198 @@ +/** + * Vision产品特征提取器 + * 支持超时重试 + 缓存 + */ + +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); + +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; + +// Vision提取Prompt +const VISION_EXTRACT_PROMPT = `Analyze this pet product image in EXTREME detail. + +Output ONLY a valid JSON object (no markdown, no explanation, no thinking): + +{ + "color": { + "primary": "", + "name": "", + "secondary": "" + }, + "shape": { + "type": "", + "petal_count": , + "opening": "", + "description": "" + }, + "material": { + "type": "", + "finish": "", + "texture": "" + }, + "edge_binding": { + "color": "", + "material": "" + }, + "closure": { + "type": "", + "color": "", + "position": "" + }, + "logo": { + "text": "", + "style": "", + "position": "" + }, + "unique_features": [""], + "overall_description": "<2-3 sentence summary for image generation>" +}`; + +/** + * 调用Vision API提取产品特征 + * @param {string} imageUrl - 图片URL + * @param {object} options - 配置选项 + * @returns {object|null} - 提取的产品特征JSON + */ +async function extractProductFeatures(imageUrl, options = {}) { + const { + maxRetries = 3, + timeout = 120000, // 120秒 + retryDelay = 5000, + cacheDir = null, + cacheKey = null + } = options; + + // 检查缓存 + if (cacheDir && cacheKey) { + const cachePath = path.join(cacheDir, `vision-cache-${cacheKey}.json`); + if (fs.existsSync(cachePath)) { + try { + const cached = JSON.parse(fs.readFileSync(cachePath, 'utf-8')); + if (cached && cached.color) { + console.log(' 📦 使用缓存的Vision结果'); + return cached; + } + } catch (e) { + // 缓存无效，继续请求 + } + } + } + + let lastError = null; + + for (let attempt = 1; attempt <= maxRetries; attempt++) { + console.log(` 🔍 Vision分析 (尝试 ${attempt}/${maxRetries})...`); + + try { + const response = await axios.post(`${API_BASE}/chat/index`, { + key: API_KEY, + model: 'gemini-3-pro', + content: VISION_EXTRACT_PROMPT, + image_url: imageUrl + }, { timeout }); + + const content = response.data.data?.choices?.[0]?.message?.content || + response.data.data?.content; + + if (!content) { + throw new Error('Vision响应为空'); + } + + // 提取JSON（跳过thinking部分） + let jsonStr = content; + + // 如果有标签，跳过它 + const thinkEnd = content.indexOf(''); + if (thinkEnd !== -1) { + jsonStr = content.substring(thinkEnd + 8); + } + + // 提取JSON + const jsonMatch = jsonStr.match(/\{[\s\S]*\}/); + if (jsonMatch) { + const parsed = JSON.parse(jsonMatch[0]); + + // 验证必要字段 + if (parsed.color && parsed.shape) { + console.log(' ✓ Vision提取成功'); + + // 保存缓存 + if (cacheDir && cacheKey) { + const cachePath = path.join(cacheDir, `vision-cache-${cacheKey}.json`); + fs.writeFileSync(cachePath, JSON.stringify(parsed, null, 2)); + } + + return parsed; + } + } + + throw new Error('无法解析有效的JSON'); + + } catch (error) { + lastError = error; + console.log(` ⚠️ 尝试 ${attempt} 失败: ${error.message}`); + + if (attempt < maxRetries) { + console.log(` ⏳ ${retryDelay/1000}秒后重试...`); + await new Promise(r => setTimeout(r, retryDelay)); + } + } + } + + console.error(` ❌ Vision提取最终失败: ${lastError?.message}`); + return null; +} + +/** + * 将Vision结果转换为Golden Description + */ +function buildGoldenDescription(visionResult, productType = 'pet recovery cone') { + if (!visionResult) { + return ` +PRODUCT: ${productType} +- Shape: Soft flower/petal shape with C-shaped opening +- Material: Soft waterproof fabric +- Closure: Velcro strap +- Comfortable design for pets + +CRITICAL: Follow the reference image EXACTLY for product shape and color. +`; + } + + const r = visionResult; + + return ` +EXACT PRODUCT APPEARANCE (MUST MATCH REFERENCE IMAGE): + +- Shape: ${r.shape?.petal_count || '7-8'}-PETAL ${(r.shape?.type || 'flower').toUpperCase()} shape +- Opening: ${r.shape?.opening || 'C-shaped'} (NOT a full circle) +- Color: ${(r.color?.name || 'ice blue').toUpperCase()} (${r.color?.primary || '#C3E6E8'}) +- Material: ${r.material?.finish || 'Soft'} ${r.material?.type || 'waterproof fabric'} with ${r.material?.texture || 'padded'} texture +- Edge binding: ${r.edge_binding?.color || 'Matching color'} ${r.edge_binding?.material || 'ribbed elastic'} around inner neck hole +- Closure: ${r.closure?.color || 'White'} ${r.closure?.type || 'velcro'} on ${r.closure?.position || 'one segment'} +- Logo: "${r.logo?.text || 'TOUCHDOG'}" ${r.logo?.style || 'embroidered'} on ${r.logo?.position || 'one petal'} + +UNIQUE FEATURES: +${(r.unique_features || ['Scalloped petal edges', 'Radial stitching', 'Soft padded construction']).map(f => `- ${f}`).join('\n')} + +OVERALL: ${r.overall_description || 'A soft, comfortable pet recovery cone with flower-petal design.'} + +CRITICAL PROHIBITIONS: +- ❌ NO printed colorful patterns (solid color only unless reference shows otherwise) +- ❌ NO hard plastic transparent cones +- ❌ NO fully circular/closed shapes (must match reference C-opening) +- ❌ NO random brand logos +- ❌ MUST match reference image product EXACTLY +`.trim(); +} + +module.exports = { + extractProductFeatures, + buildGoldenDescription, + VISION_EXTRACT_PROMPT +}; + + diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..ce6d9b9 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,3811 @@ +{ + "name": "ai-image-generator", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "ai-image-generator", + "version": "1.0.0", + "dependencies": { + "@aws-sdk/client-s3": "^3.400.0", + "axios": "^1.6.0", + "canvas": "^3.2.0", + "cors": "^2.8.5", + "dotenv": "^16.3.1", + "express": "^4.18.2", + "multer": "^1.4.5-lts.1", + "sharp": "^0.34.5" + } + }, + "node_modules/@aws-crypto/crc32": { + "version": "5.2.0", + "resolved": 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V2: 强化产品一致性 + * 核心改进： + * 1. 极致详细的产品描述 (Golden Description) + * 2. 移除AI生成logo（后期处理） + * 3. 分级策略：A级严格复制，B级可控创意 + * 4. 对比图特殊处理 + */ + +require('dotenv').config(); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); + +// 配置 +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; +const OUTPUT_DIR = path.join(__dirname, 'output_poc_v2'); +const MATERIAL_DIR = path.join(__dirname, '素材/素材/已有的素材'); + +// R2客户端 +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +async function uploadToR2(filePath) { + const fileName = `poc-v2-${Date.now()}-${path.basename(filePath)}`; + const fileBuffer = fs.readFileSync(filePath); + + await r2Client.send(new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME || 'ai-flow', + Key: fileName, + Body: fileBuffer, + ContentType: filePath.endsWith('.png') ? 'image/png' : 'image/jpeg', + })); + + const publicUrl = process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET_NAME}/${fileName}`; + + return publicUrl; +} + +// ============================================================ +// 🔥 核心改进1: 黄金产品描述 (Golden Product Description) +// ============================================================ +const GOLDEN_PRODUCT_DESC = ` +EXACT PRODUCT APPEARANCE (MUST MATCH PRECISELY): +- Shape: 8-PETAL FLOWER/FAN shape, C-shaped opening (like Pac-Man), NOT a full circle +- Color: ICE BLUE / Light aqua blue (#C5E8ED approximate) +- Material: Glossy waterproof PU fabric with visible stitching lines between petals +- Edge binding: TEAL/TURQUOISE color binding around the inner neck hole +- Closure: White velcro strap on one petal end +- Logo: "TOUCHDOG®" embroidered in matching blue thread on one petal (small, subtle) +- Texture: Smooth, slightly shiny, NOT matte, NOT cotton fabric +- Structure: Soft but structured, maintains petal shape, NOT floppy + +CRITICAL PROHIBITIONS: +- ❌ NO printed patterns or colorful fabric designs +- ❌ NO hard plastic transparent cones +- ❌ NO fully circular/closed shapes +- ❌ NO matte cotton or fleece textures +- ❌ NO random brand logos or text +`; + +// ============================================================ +// 🔥 核心改进2: 分级Prompt策略 +// ============================================================ + +// A级：严格产品复制 (必须和参考图几乎一致) +function createPromptA_Strict(sceneDesc) { + return ` +[PRODUCT REPRODUCTION - HIGHEST FIDELITY] +${GOLDEN_PRODUCT_DESC} + +SCENE: ${sceneDesc} + +INSTRUCTION: Reproduce the EXACT product from reference image. +The product shape, color, and material must be IDENTICAL to reference. +Only change the background/scene as described. +DO NOT add any brand logo overlays or text graphics. +`.trim(); +} + +// B级：可控创意 (产品保持一致，场景可发挥) +function createPromptB_Controlled(sceneDesc, extraInstructions = '') { + return ` +[CONTROLLED CREATIVE - PRODUCT CONSISTENCY REQUIRED] +${GOLDEN_PRODUCT_DESC} + +SCENE: ${sceneDesc} + +${extraInstructions} + +INSTRUCTION: Keep product appearance EXACTLY as described above. +Creative freedom allowed ONLY for background, lighting, and composition. +DO NOT modify product shape, color, or material. +DO NOT add any brand logo overlays. +`.trim(); +} + +// C级：对比图专用 (左边严格，右边自由) +function createPromptC_Comparison() { + return ` +[COMPARISON IMAGE - SPLIT SCREEN] + +LEFT SIDE (OUR PRODUCT - STRICT): +${GOLDEN_PRODUCT_DESC} +- Happy, comfortable cat/dog wearing the ICE BLUE 8-PETAL soft cone +- Bright, colorful, warm lighting +- GREEN CHECKMARK overlay + +RIGHT SIDE (GENERIC COMPETITOR - FLEXIBLE): +- Generic transparent HARD PLASTIC cone (the traditional "lamp shade" type) +- Sad, uncomfortable looking cat/dog +- Grayscale / desaturated colors +- RED X-MARK overlay + +LAYOUT: Side by side, clear visual contrast +TEXT HEADER: "Soft & Comfortable" vs "Hard & Uncomfortable" + +CRITICAL: Left side product must be ICE BLUE 8-PETAL FLOWER shape, NOT any other design! +`.trim(); +} + +// 生图任务提交 +async function submitImageTask(prompt, refImageUrl, aspectRatio = '1:1') { + try { + const payload = { + key: API_KEY, + prompt: prompt, + img_url: refImageUrl, // 强参考图 + aspectRatio: aspectRatio, + imageSize: '1K' + }; + + console.log(` 提交任务...`); + + const response = await axios.post(`${API_BASE}/img/nanoBanana-pro`, payload); + const taskId = response.data.data?.id; + + if (!taskId) { + console.error('Submit response:', response.data); + throw new Error('No task ID returned'); + } + + return taskId; + + } catch (error) { + console.error('Submit failed:', error.message); + throw error; + } +} + +// 轮询图片结果 +async function pollImageResult(taskId) { + let attempts = 0; + const maxAttempts = 60; + + while (attempts < maxAttempts) { + try { + const response = await axios.get(`${API_BASE}/img/drawDetail`, { + params: { key: API_KEY, id: taskId } + }); + + const data = response.data.data; + + if (data && data.status === 2 && data.image_url) { + return data.image_url; + } else if (data && data.status === 3) { + throw new Error('Generation failed: ' + (data.fail_reason || 'Unknown')); + } + + process.stdout.write('.'); + await new Promise(r => setTimeout(r, 2000)); + attempts++; + + } catch (error) { + if (error.message.includes('Generation failed')) throw error; + console.error('Poll error:', error.message); + throw error; + } + } + throw new Error('Timeout waiting for image'); +} + +// 生成单张图（含重试） +async function generateSingleImage(item, refUrls) { + console.log(`\n🎨 [${item.level}级] ${item.id}: ${item.name}`); + + let retryCount = 0; + const maxRetries = 2; + + // 根据类型选择最佳参考图 + let refUrl = refUrls.flat; // 默认用平铺图 + if (item.useWornRef) { + refUrl = refUrls.worn; + } + + while (retryCount <= maxRetries) { + try { + if (retryCount > 0) console.log(` 重试第 ${retryCount} 次...`); + + const taskId = await submitImageTask(item.prompt, refUrl, item.aspectRatio); + console.log(` Task ID: ${taskId}`); + + const imageUrl = await pollImageResult(taskId); + console.log('\n ✓ 生成成功'); + + // 下载保存 + const imgRes = await axios.get(imageUrl, { responseType: 'arraybuffer' }); + fs.writeFileSync(path.join(OUTPUT_DIR, `${item.id}.jpg`), imgRes.data); + console.log(' ✓ 保存本地'); + return true; + + } catch (error) { + console.error(`\n ✗ 失败: ${error.message}`); + retryCount++; + await new Promise(r => setTimeout(r, 3000)); + } + } + console.error(` ❌ ${item.id} 最终失败`); + return false; +} + +// ============================================================ +// 主流程 +// ============================================================ +async function main() { + if (!fs.existsSync(OUTPUT_DIR)) fs.mkdirSync(OUTPUT_DIR, { recursive: true }); + + // 1. 上传核心参考图 + console.log('📤 上传核心参考图...'); + + const flatImgPath = path.join(MATERIAL_DIR, 'IMG_5683.png'); // 平铺图（最清晰产品细节） + const wornImgPath = path.join(MATERIAL_DIR, 'IMG_6514.JPG'); // 佩戴图 + + const refUrls = { + flat: await uploadToR2(flatImgPath), + worn: await uploadToR2(wornImgPath) + }; + + console.log(' 平铺图:', refUrls.flat); + console.log(' 佩戴图:', refUrls.worn); + + // 2. 定义优化后的图片任务 + const tasks = [ + // ========== A级：严格复制 ========== + { + id: 'Main_01_Hero', + name: '场景首图', + level: 'A', + aspectRatio: '1:1', + useWornRef: true, + prompt: createPromptA_Strict(` + Cute white fluffy cat wearing the product. + Cone opens OUTWARD around face (like flower petals spreading out). + Cat looks comfortable and relaxed. + Warm, cozy home interior background (soft focus). + Professional Amazon product photography, 8K quality. + `) + }, + { + id: 'Main_02_Flat', + name: '平铺白底图', + level: 'A', + aspectRatio: '1:1', + useWornRef: false, + prompt: createPromptA_Strict(` + Product flat lay on PURE WHITE background. + Shot from directly above (bird's eye view). + Show the 8-petal flower/fan shape clearly. + C-shaped opening (gap between velcro ends) visible. + Clean studio lighting, no shadows. + Product photography style. + `) + }, + + // ========== B级：可控创意 ========== + { + id: 'Main_03_Function', + name: '功能演示', + level: 'B', + aspectRatio: '1:1', + useWornRef: false, + prompt: createPromptB_Controlled(` + Close-up of hands adjusting the white velcro strap. + Show the velcro closure mechanism clearly. + Demonstrate "adjustable fit" feature. + Clean, bright lighting. + `) + }, + { + id: 'Main_04_Scenarios', + name: '多场景使用', + level: 'B', + aspectRatio: '1:1', + useWornRef: true, + prompt: createPromptB_Controlled(` + 2x2 grid showing different usage scenarios: + - Cat eating from bowl while wearing cone (cone allows eating) + - Cat drinking water comfortably + - Cat sleeping peacefully + - Cat walking around home + All showing the ICE BLUE 8-PETAL cone product. + `) + }, + { + id: 'APlus_01_Banner', + name: 'A+横幅', + level: 'B', + aspectRatio: '3:2', + useWornRef: true, + prompt: createPromptB_Controlled(` + Wide banner shot for Amazon A+ content. + Beautiful modern living room scene. + White cat wearing the ICE BLUE 8-petal cone walking on soft rug. + Left side has empty space for text overlay. + Warm, inviting home atmosphere. + Professional lifestyle photography. + `) + }, + { + id: 'APlus_03_Detail', + name: '材质细节', + level: 'B', + aspectRatio: '3:2', + useWornRef: false, + prompt: createPromptB_Controlled(` + Extreme close-up macro photography. + Focus on the ICE BLUE glossy PU material texture. + Water droplets beading on the waterproof surface. + Show the neat stitching between petals. + Show the TEAL edge binding around neck hole. + High-end product detail photography. + `) + }, + { + id: 'APlus_04_Waterproof', + name: '防水演示', + level: 'B', + aspectRatio: '3:2', + useWornRef: false, + prompt: createPromptB_Controlled(` + Action shot demonstrating waterproof feature. + Water being poured onto the ICE BLUE 8-petal cone. + Water droplets rolling off the glossy PU surface. + Dynamic splash photography style. + Bright lighting, white background. + `) + }, + + // ========== C级：对比图 ========== + { + id: 'APlus_02_Comparison', + name: '对比图', + level: 'C', + aspectRatio: '3:2', + useWornRef: true, + prompt: createPromptC_Comparison() + }, + ]; + + // 3. 执行生成 + console.log('\n🚀 开始V2优化版生成...\n'); + console.log('=' .repeat(50)); + + let successCount = 0; + for (const task of tasks) { + const success = await generateSingleImage(task, refUrls); + if (success) successCount++; + } + + console.log('\n' + '='.repeat(50)); + console.log(`✅ 完成! 成功 ${successCount}/${tasks.length} 张`); + console.log(`📁 输出目录: ${OUTPUT_DIR}`); + + // 4. 说明跳过的图 + console.log('\n⚠️ 以下图片建议后期处理，不适合纯AI生成:'); + console.log(' - Main_05_Size (尺寸图) → 用设计软件+产品抠图'); + console.log(' - Main_06_Brand (品牌图) → 用设计软件+官方logo'); + console.log(' - APlus_05_Storage (收纳图) → 需要真实折叠产品素材'); + console.log(' - APlus_06_Guide (选购指南) → 用设计软件模板'); +} + +main().catch(console.error); + + diff --git a/poc-workflow-v3.js b/poc-workflow-v3.js new file mode 100644 index 0000000..62d3874 --- /dev/null +++ b/poc-workflow-v3.js @@ -0,0 +1,482 @@ +/** + * POC Workflow V3: 通用化工作流 + * + * 特性： + * 1. 素材目录作为参数，支持一键切换SKU + * 2. Vision自动提取产品特征 + * 3. 基于真实交付成品的12张图模板 + * 4. 带文字排版的A+/主图 + * + * 用法： + * node poc-workflow-v3.js --material-dir="./素材/素材/已有的素材" --sku-name="Touchdog软质伊丽莎白圈" + */ + +require('dotenv').config(); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); +const { generateAllPrompts } = require('./prompts/image-templates'); + +// ============================================================ +// 配置 +// ============================================================ +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; + +// R2客户端 +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +// ============================================================ +// 命令行参数解析 +// ============================================================ +function parseArgs() { + const args = process.argv.slice(2); + const config = { + materialDir: path.join(__dirname, '素材/素材/已有的素材'), + skuName: 'Touchdog 软质伊丽莎白圈', + brandName: 'TOUCHDOG', + productName: 'CAT SOFT CONE COLLAR', + outputDir: null, // 自动生成 + sellingPoints: [ + 'CLOUD-LIGHT COMFORT', + 'WIDER & CLEARER', + 'FOLDABLE & PORTABLE', + 'WATERPROOF & EASY CLEAN' + ], + competitorWeaknesses: [ + 'HEAVY & BULKY', + 'BLOCKS VISION & MOVEMENT', + 'HARD TO STORE' + ], + features: [ + { title: 'STURDY AND BREATHABLE', desc: ', DURABLE AND COMFORTABLE' }, + { title: 'EASY TO CLEAN, STYLISH', desc: 'AND ATTRACTIVE' }, + { title: 'REINFORCED STITCHING PROCESS', desc: 'AND DURABLE FABRIC' } + ], + sizeChart: { + XS: { neck: '5.6-6.8IN', depth: '3.2IN' }, + S: { neck: '7.2-8.4IN', depth: '4IN' }, + M: { neck: '8.8-10.4IN', depth: '5IN' }, + L: { neck: '10.8-12.4IN', depth: '6IN' }, + XL: { neck: '12.8-14.4IN', depth: '7IN' } + } + }; + + for (const arg of args) { + if (arg.startsWith('--material-dir=')) { + config.materialDir = arg.split('=')[1]; + } else if (arg.startsWith('--sku-name=')) { + config.skuName = arg.split('=')[1]; + } else if (arg.startsWith('--brand-name=')) { + config.brandName = arg.split('=')[1]; + } else if (arg.startsWith('--product-name=')) { + config.productName = arg.split('=')[1]; + } else if (arg.startsWith('--output-dir=')) { + config.outputDir = arg.split('=')[1]; + } + } + + // 自动生成输出目录 + if (!config.outputDir) { + const timestamp = new Date().toISOString().slice(0, 10); + const safeName = config.skuName.replace(/[^a-zA-Z0-9\u4e00-\u9fa5]/g, '_').slice(0, 30); + config.outputDir = path.join(__dirname, `output_v3_${safeName}_${timestamp}`); + } + + return config; +} + +// ============================================================ +// 工具函数 +// ============================================================ + +async function uploadToR2(filePath) { + const fileName = `v3-${Date.now()}-${path.basename(filePath)}`; + const fileBuffer = fs.readFileSync(filePath); + + await r2Client.send(new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME || 'ai-flow', + Key: fileName, + Body: fileBuffer, + ContentType: filePath.endsWith('.png') ? 'image/png' : 'image/jpeg', + })); + + return process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET_NAME}/${fileName}`; +} + +// 扫描素材目录，找到关键图片 +async function scanMaterials(materialDir) { + console.log('📁 扫描素材目录:', materialDir); + + const files = fs.readdirSync(materialDir); + const images = files.filter(f => /\.(jpg|jpeg|png)$/i.test(f)); + + console.log(` 找到 ${images.length} 张图片`); + + // 识别图片类型 + let flatImage = null; // 平铺图 + let wornImage = null; // 佩戴图 + + for (const img of images) { + const imgPath = path.join(materialDir, img); + // 简单启发式：文件名包含特定关键词 + if (img.includes('5683') || img.toLowerCase().includes('flat')) { + flatImage = imgPath; + } else if (img.includes('6514') || img.toLowerCase().includes('worn') || img.toLowerCase().includes('wear')) { + wornImage = imgPath; + } + } + + // 如果没找到，用第一张和第二张 + if (!flatImage && images.length > 0) { + flatImage = path.join(materialDir, images[0]); + } + if (!wornImage && images.length > 1) { + wornImage = path.join(materialDir, images[1]); + } else if (!wornImage) { + wornImage = flatImage; + } + + console.log(' 平铺图:', flatImage ? path.basename(flatImage) : '未找到'); + console.log(' 佩戴图:', wornImage ? path.basename(wornImage) : '未找到'); + + return { flatImage, wornImage, allImages: images.map(i => path.join(materialDir, i)) }; +} + +// Vision API提取产品特征 +const VISION_EXTRACT_PROMPT = `Analyze this pet recovery cone product image in EXTREME detail. + +Output ONLY a valid JSON object (no markdown, no explanation): + +{ + "color": { + "primary": "", + "name": "", + "secondary": "" + }, + "shape": { + "type": "", + "petal_count": , + "opening": "", + "description": "" + }, + "material": { + "type": "", + "finish": "", + "texture": "" + }, + "edge_binding": { + "color": "", + "material": "" + }, + "closure": { + "type": "", + "color": "", + "position": "" + }, + "logo": { + "text": "", + "style": "", + "position": "" + }, + "unique_features": [""], + "overall_description": "<2-3 sentence summary>" +}`; + +async function extractProductFeatures(imageUrl) { + console.log('\n🔍 Vision分析产品特征...'); + + try { + const response = await axios.post(`${API_BASE}/chat/index`, { + key: API_KEY, + model: 'gemini-3-pro', + content: VISION_EXTRACT_PROMPT, + image_url: imageUrl + }, { timeout: 90000 }); + + const content = response.data.data?.choices?.[0]?.message?.content || + response.data.data?.content; + + if (!content) { + throw new Error('Vision响应为空'); + } + + // 提取JSON + const jsonMatch = content.match(/\{[\s\S]*\}/); + if (jsonMatch) { + const parsed = JSON.parse(jsonMatch[0]); + console.log(' ✓ 提取成功'); + return parsed; + } + + throw new Error('无法解析JSON'); + } catch (error) { + console.error(' ✗ Vision分析失败:', error.message); + return null; + } +} + +// 将Vision结果转换为Golden Description +function buildGoldenDescription(visionResult) { + if (!visionResult) { + return ` +PRODUCT: Pet recovery cone collar +- Soft, flexible material +- C-shaped opening design +- Velcro closure +- Comfortable for pets +`; + } + + const r = visionResult; + return ` +EXACT PRODUCT APPEARANCE (AUTO-EXTRACTED): +- Shape: ${r.shape?.petal_count || '?'}-PETAL ${r.shape?.type?.toUpperCase() || 'FLOWER'} shape, ${r.shape?.opening || 'C-shaped'} opening +- Color: ${r.color?.name?.toUpperCase() || 'UNKNOWN'} (${r.color?.primary || '#???'}) +- Material: ${r.material?.finish || 'Soft'} ${r.material?.type || 'fabric'} with ${r.material?.texture || 'smooth'} texture +- Edge binding: ${r.edge_binding?.color || 'Contrasting color'} ${r.edge_binding?.material || 'ribbed elastic'} around inner neck hole +- Closure: ${r.closure?.color || 'White'} ${r.closure?.type || 'velcro'} on ${r.closure?.position || 'one end'} +- Logo: "${r.logo?.text || 'TOUCHDOG'}" ${r.logo?.style || 'embroidered'} + +UNIQUE FEATURES: +${(r.unique_features || []).map(f => `- ${f}`).join('\n') || '- Soft, comfortable design'} + +CRITICAL PROHIBITIONS: +- ❌ NO printed patterns or colorful fabric designs +- ❌ NO hard plastic transparent cones +- ❌ NO fully circular/closed shapes (must have C-opening) +- ❌ NO random brand logos +`.trim(); +} + +// 生图任务 +async function submitImageTask(prompt, refImageUrl, aspectRatio = '1:1') { + const payload = { + key: API_KEY, + prompt: prompt, + img_url: refImageUrl, + aspectRatio: aspectRatio, + imageSize: '1K' + }; + + const response = await axios.post(`${API_BASE}/img/nanoBanana-pro`, payload); + const taskId = response.data.data?.id; + + if (!taskId) { + throw new Error('No task ID returned'); + } + return taskId; +} + +async function pollImageResult(taskId) { + let attempts = 0; + const maxAttempts = 90; + + while (attempts < maxAttempts) { + const response = await axios.get(`${API_BASE}/img/drawDetail`, { + params: { key: API_KEY, id: taskId } + }); + + const data = response.data.data; + + if (data && data.status === 2 && data.image_url) { + return data.image_url; + } else if (data && data.status === 3) { + throw new Error('Generation failed: ' + (data.fail_reason || 'Unknown')); + } + + process.stdout.write('.'); + await new Promise(r => setTimeout(r, 2000)); + attempts++; + } + throw new Error('Timeout'); +} + +async function generateSingleImage(item, refUrl, outputDir) { + console.log(`\n🎨 [${item.id}] ${item.name}`); + + let retryCount = 0; + const maxRetries = 2; + + while (retryCount <= maxRetries) { + try { + if (retryCount > 0) console.log(` 重试 ${retryCount}/${maxRetries}...`); + + console.log(' 提交任务...'); + const taskId = await submitImageTask(item.prompt, refUrl, item.aspectRatio); + console.log(` Task ID: ${taskId}`); + + const imageUrl = await pollImageResult(taskId); + console.log('\n ✓ 生成成功'); + + // 下载保存 + const imgRes = await axios.get(imageUrl, { responseType: 'arraybuffer' }); + const outputPath = path.join(outputDir, `${item.id}.jpg`); + fs.writeFileSync(outputPath, imgRes.data); + console.log(` ✓ 保存: ${item.id}.jpg`); + + return { id: item.id, success: true, path: outputPath }; + + } catch (error) { + console.error(`\n ✗ 失败: ${error.message}`); + retryCount++; + await new Promise(r => setTimeout(r, 3000)); + } + } + + return { id: item.id, success: false, error: 'Max retries exceeded' }; +} + +// ============================================================ +// 主流程 +// ============================================================ + +async function main() { + const config = parseArgs(); + + console.log('='.repeat(70)); + console.log('🚀 POC Workflow V3 - 通用化工作流'); + console.log('='.repeat(70)); + console.log('\n📋 配置:'); + console.log(' 素材目录:', config.materialDir); + console.log(' SKU名称:', config.skuName); + console.log(' 品牌:', config.brandName); + console.log(' 输出目录:', config.outputDir); + + // 创建输出目录 + if (!fs.existsSync(config.outputDir)) { + fs.mkdirSync(config.outputDir, { recursive: true }); + } + + // 1. 扫描素材 + console.log('\n' + '─'.repeat(70)); + console.log('📁 阶段1: 扫描素材'); + console.log('─'.repeat(70)); + + const materials = await scanMaterials(config.materialDir); + + if (!materials.flatImage) { + console.error('❌ 未找到素材图片，请检查素材目录'); + process.exit(1); + } + + // 2. 上传素材到R2 + console.log('\n' + '─'.repeat(70)); + console.log('📤 阶段2: 上传素材'); + console.log('─'.repeat(70)); + + const flatImageUrl = await uploadToR2(materials.flatImage); + console.log(' 平铺图URL:', flatImageUrl); + + let wornImageUrl = flatImageUrl; + if (materials.wornImage && materials.wornImage !== materials.flatImage) { + wornImageUrl = await uploadToR2(materials.wornImage); + console.log(' 佩戴图URL:', wornImageUrl); + } + + // 3. Vision分析 + console.log('\n' + '─'.repeat(70)); + console.log('🔍 阶段3: Vision分析产品特征'); + console.log('─'.repeat(70)); + + const visionResult = await extractProductFeatures(flatImageUrl); + const goldenDescription = buildGoldenDescription(visionResult); + + console.log('\n生成的Golden Description:'); + console.log(goldenDescription.substring(0, 500) + '...'); + + // 保存Vision结果 + fs.writeFileSync( + path.join(config.outputDir, 'vision-analysis.json'), + JSON.stringify(visionResult, null, 2) + ); + fs.writeFileSync( + path.join(config.outputDir, 'golden-description.txt'), + goldenDescription + ); + + // 4. 生成12张图的Prompts + console.log('\n' + '─'.repeat(70)); + console.log('📝 阶段4: 生成Prompts'); + console.log('─'.repeat(70)); + + const product = { goldenDescription }; + const skuInfo = { + brandName: config.brandName, + productName: config.productName, + sellingPoints: config.sellingPoints, + competitorWeaknesses: config.competitorWeaknesses, + features: config.features, + sizeChart: config.sizeChart + }; + + const prompts = generateAllPrompts(product, skuInfo); + console.log(` 生成了 ${prompts.length} 个Prompt`); + + // 保存prompts供参考 + fs.writeFileSync( + path.join(config.outputDir, 'prompts.json'), + JSON.stringify(prompts.map(p => ({ id: p.id, name: p.name, aspectRatio: p.aspectRatio })), null, 2) + ); + + // 5. 批量生成图片 + console.log('\n' + '─'.repeat(70)); + console.log('🎨 阶段5: 批量生成图片'); + console.log('─'.repeat(70)); + + const results = []; + for (const promptItem of prompts) { + // 根据图片类型选择参考图 + const refUrl = promptItem.id.includes('Main_02') ? flatImageUrl : wornImageUrl; + + const result = await generateSingleImage(promptItem, refUrl, config.outputDir); + results.push(result); + } + + // 6. 总结 + console.log('\n' + '='.repeat(70)); + console.log('📊 生成完成'); + console.log('='.repeat(70)); + + const successCount = results.filter(r => r.success).length; + console.log(`\n✅ 成功: ${successCount}/${results.length}`); + + if (successCount < results.length) { + console.log('\n❌ 失败的图片:'); + results.filter(r => !r.success).forEach(r => { + console.log(` - ${r.id}: ${r.error}`); + }); + } + + console.log(`\n📁 输出目录: ${config.outputDir}`); + + // 保存结果摘要 + fs.writeFileSync( + path.join(config.outputDir, 'results.json'), + JSON.stringify({ + config, + visionResult, + results, + summary: { + total: results.length, + success: successCount, + failed: results.length - successCount + } + }, null, 2) + ); +} + +main().catch(console.error); + + diff --git a/poc-workflow-v4.js b/poc-workflow-v4.js new file mode 100644 index 0000000..e44ea3b --- /dev/null +++ b/poc-workflow-v4.js @@ -0,0 +1,399 @@ +/** + * POC Workflow V4: 完整优化版 + * + * 改进： + * 1. Vision超时重试机制 + * 2. 可配置的套路模板系统 + * 3. 基于真实交付成品的Prompt + * 4. 强化产品一致性约束 + * + * 用法： + * node poc-workflow-v4.js --material-dir="./素材/素材/已有的素材" --sku-name="Touchdog冰蓝色伊丽莎白圈" + */ + +require('dotenv').config(); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); +const { extractProductFeatures, buildGoldenDescription } = require('./lib/vision-extractor'); +const { generateAllPrompts } = require('./lib/template-config'); + +// ============================================================ +// 配置 +// ============================================================ +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; + +// R2客户端 +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +// ============================================================ +// 命令行参数解析 +// ============================================================ +function parseArgs() { + const args = process.argv.slice(2); + const config = { + materialDir: path.join(__dirname, '素材/素材/已有的素材'), + skuName: 'Touchdog 软质伊丽莎白圈', + brandName: 'TOUCHDOG', + productName: 'CAT SOFT CONE COLLAR', + petType: 'cat', + outputDir: null + }; + + for (const arg of args) { + if (arg.startsWith('--material-dir=')) { + config.materialDir = arg.split('=')[1]; + } else if (arg.startsWith('--sku-name=')) { + config.skuName = arg.split('=')[1]; + } else if (arg.startsWith('--brand-name=')) { + config.brandName = arg.split('=')[1]; + } else if (arg.startsWith('--product-name=')) { + config.productName = arg.split('=')[1]; + } else if (arg.startsWith('--output-dir=')) { + config.outputDir = arg.split('=')[1]; + } else if (arg.startsWith('--pet-type=')) { + config.petType = arg.split('=')[1]; + } + } + + // 自动生成输出目录 + if (!config.outputDir) { + const timestamp = new Date().toISOString().slice(0, 19).replace(/[T:]/g, '-'); + const safeName = config.skuName.replace(/[^a-zA-Z0-9\u4e00-\u9fa5]/g, '_').slice(0, 20); + config.outputDir = path.join(__dirname, `output_v4_${safeName}_${timestamp}`); + } + + return config; +} + +// ============================================================ +// 工具函数 +// ============================================================ + +async function uploadToR2(filePath) { + const fileName = `v4-${Date.now()}-${path.basename(filePath)}`; + const fileBuffer = fs.readFileSync(filePath); + + await r2Client.send(new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME || 'ai-flow', + Key: fileName, + Body: fileBuffer, + ContentType: filePath.endsWith('.png') ? 'image/png' : 'image/jpeg', + })); + + return process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET_NAME}/${fileName}`; +} + +// 扫描素材目录 +async function scanMaterials(materialDir) { + console.log('📁 扫描素材目录:', materialDir); + + if (!fs.existsSync(materialDir)) { + throw new Error(`素材目录不存在: ${materialDir}`); + } + + const files = fs.readdirSync(materialDir); + const images = files.filter(f => /\.(jpg|jpeg|png)$/i.test(f)); + + console.log(` 找到 ${images.length} 张图片: ${images.join(', ')}`); + + // 识别图片类型 + let flatImage = null; // 平铺图 + let wornImage = null; // 佩戴图 + + for (const img of images) { + const imgPath = path.join(materialDir, img); + const imgLower = img.toLowerCase(); + + // 平铺图识别 + if (img.includes('5683') || imgLower.includes('flat') || imgLower.includes('1.png')) { + flatImage = imgPath; + } + // 佩戴图识别 + if (img.includes('6514') || imgLower.includes('worn') || imgLower.includes('wear') || imgLower.includes('3.png')) { + wornImage = imgPath; + } + } + + // 如果没找到，用启发式规则 + if (!flatImage) { + // 优先选png格式（通常更清晰） + const pngImages = images.filter(i => i.toLowerCase().endsWith('.png')); + flatImage = pngImages.length > 0 + ? path.join(materialDir, pngImages[0]) + : path.join(materialDir, images[0]); + } + + if (!wornImage) { + const jpgImages = images.filter(i => i.toLowerCase().endsWith('.jpg') || i.toLowerCase().endsWith('.jpeg')); + wornImage = jpgImages.length > 0 + ? path.join(materialDir, jpgImages[0]) + : flatImage; + } + + console.log(' ✓ 平铺图:', path.basename(flatImage)); + console.log(' ✓ 佩戴图:', path.basename(wornImage)); + + return { flatImage, wornImage, allImages: images.map(i => path.join(materialDir, i)) }; +} + +// 生图任务 +async function submitImageTask(prompt, refImageUrl, aspectRatio = '1:1') { + const payload = { + key: API_KEY, + prompt: prompt, + img_url: refImageUrl, + aspectRatio: aspectRatio, + imageSize: '1K' + }; + + const response = await axios.post(`${API_BASE}/img/nanoBanana-pro`, payload, { + timeout: 30000 + }); + + const taskId = response.data.data?.id; + if (!taskId) { + console.error('Submit response:', response.data); + throw new Error('No task ID returned'); + } + return taskId; +} + +async function pollImageResult(taskId) { + let attempts = 0; + const maxAttempts = 90; + + while (attempts < maxAttempts) { + try { + const response = await axios.get(`${API_BASE}/img/drawDetail`, { + params: { key: API_KEY, id: taskId }, + timeout: 10000 + }); + + const data = response.data.data; + + if (data && data.status === 2 && data.image_url) { + return data.image_url; + } else if (data && data.status === 3) { + throw new Error('Generation failed: ' + (data.fail_reason || 'Unknown')); + } + + process.stdout.write('.'); + await new Promise(r => setTimeout(r, 2000)); + attempts++; + } catch (error) { + if (error.message.includes('Generation failed')) throw error; + // 网络错误，继续重试 + process.stdout.write('x'); + await new Promise(r => setTimeout(r, 3000)); + attempts++; + } + } + throw new Error('Timeout after ' + maxAttempts + ' attempts'); +} + +async function generateSingleImage(item, refUrl, outputDir) { + console.log(`\n🎨 [${item.id}] ${item.name}`); + + let retryCount = 0; + const maxRetries = 2; + + while (retryCount <= maxRetries) { + try { + if (retryCount > 0) console.log(` 重试 ${retryCount}/${maxRetries}...`); + + console.log(' 提交任务...'); + const taskId = await submitImageTask(item.prompt, refUrl, item.aspectRatio); + console.log(` Task ID: ${taskId}`); + + const imageUrl = await pollImageResult(taskId); + console.log('\n ✓ 生成成功'); + + // 下载保存 + const imgRes = await axios.get(imageUrl, { responseType: 'arraybuffer', timeout: 30000 }); + const outputPath = path.join(outputDir, `${item.id}.jpg`); + fs.writeFileSync(outputPath, imgRes.data); + console.log(` ✓ 保存: ${item.id}.jpg`); + + return { id: item.id, success: true, path: outputPath }; + + } catch (error) { + console.error(`\n ✗ 失败: ${error.message}`); + retryCount++; + if (retryCount <= maxRetries) { + await new Promise(r => setTimeout(r, 5000)); + } + } + } + + return { id: item.id, success: false, error: 'Max retries exceeded' }; +} + +// ============================================================ +// 主流程 +// ============================================================ + +async function main() { + const config = parseArgs(); + + console.log('\n' + '═'.repeat(70)); + console.log('🚀 POC Workflow V4 - 完整优化版'); + console.log('═'.repeat(70)); + console.log('\n📋 配置:'); + console.log(' 素材目录:', config.materialDir); + console.log(' SKU名称:', config.skuName); + console.log(' 品牌:', config.brandName); + console.log(' 输出目录:', config.outputDir); + + // 创建输出目录 + if (!fs.existsSync(config.outputDir)) { + fs.mkdirSync(config.outputDir, { recursive: true }); + } + + // ========== 阶段1: 扫描素材 ========== + console.log('\n' + '─'.repeat(70)); + console.log('📁 阶段1: 扫描素材'); + console.log('─'.repeat(70)); + + const materials = await scanMaterials(config.materialDir); + + if (!materials.flatImage) { + console.error('❌ 未找到素材图片'); + process.exit(1); + } + + // ========== 阶段2: 上传素材 ========== + console.log('\n' + '─'.repeat(70)); + console.log('📤 阶段2: 上传素材到云存储'); + console.log('─'.repeat(70)); + + const flatImageUrl = await uploadToR2(materials.flatImage); + console.log(' 平铺图:', flatImageUrl); + + let wornImageUrl = flatImageUrl; + if (materials.wornImage && materials.wornImage !== materials.flatImage) { + wornImageUrl = await uploadToR2(materials.wornImage); + console.log(' 佩戴图:', wornImageUrl); + } + + // ========== 阶段3: Vision分析 ========== + console.log('\n' + '─'.repeat(70)); + console.log('🔍 阶段3: Vision分析产品特征 (超时重试机制)'); + console.log('─'.repeat(70)); + + const visionResult = await extractProductFeatures(flatImageUrl, { + maxRetries: 3, + timeout: 150000, // 150秒 + retryDelay: 8000, + cacheDir: config.outputDir, + cacheKey: path.basename(materials.flatImage).replace(/\.[^.]+$/, '') + }); + + const goldenDescription = buildGoldenDescription(visionResult); + + console.log('\n📝 Golden Description预览:'); + console.log('─'.repeat(50)); + console.log(goldenDescription.substring(0, 600) + '...'); + + // 保存分析结果 + fs.writeFileSync( + path.join(config.outputDir, 'vision-analysis.json'), + JSON.stringify(visionResult, null, 2) + ); + fs.writeFileSync( + path.join(config.outputDir, 'golden-description.txt'), + goldenDescription + ); + + // ========== 阶段4: 生成Prompts ========== + console.log('\n' + '─'.repeat(70)); + console.log('📝 阶段4: 生成12张图的Prompts (可配置模板系统)'); + console.log('─'.repeat(70)); + + const product = { goldenDescription }; + const skuInfo = { + brandName: config.brandName, + productName: config.productName, + petType: config.petType + }; + + const prompts = generateAllPrompts(product, skuInfo); + console.log(` ✓ 生成了 ${prompts.length} 个Prompt`); + + // 保存prompts供参考 + fs.writeFileSync( + path.join(config.outputDir, 'all-prompts.json'), + JSON.stringify(prompts.map(p => ({ + id: p.id, + name: p.name, + type: p.type, + aspectRatio: p.aspectRatio, + prompt: p.prompt + })), null, 2) + ); + + // ========== 阶段5: 批量生成 ========== + console.log('\n' + '─'.repeat(70)); + console.log('🎨 阶段5: 批量生成图片'); + console.log('─'.repeat(70)); + + const results = []; + for (const promptItem of prompts) { + // Main_02用平铺图参考，其他用佩戴图 + const refUrl = promptItem.id === 'Main_02' ? flatImageUrl : wornImageUrl; + + const result = await generateSingleImage(promptItem, refUrl, config.outputDir); + results.push(result); + } + + // ========== 阶段6: 总结 ========== + console.log('\n' + '═'.repeat(70)); + console.log('📊 生成完成'); + console.log('═'.repeat(70)); + + const successCount = results.filter(r => r.success).length; + console.log(`\n✅ 成功: ${successCount}/${results.length}`); + + if (successCount < results.length) { + console.log('\n❌ 失败的图片:'); + results.filter(r => !r.success).forEach(r => { + console.log(` - ${r.id}: ${r.error}`); + }); + } + + console.log(`\n📁 输出目录: ${config.outputDir}`); + + // 保存结果摘要 + fs.writeFileSync( + path.join(config.outputDir, 'results-summary.json'), + JSON.stringify({ + config, + visionSuccess: !!visionResult, + results, + summary: { + total: results.length, + success: successCount, + failed: results.length - successCount + }, + timestamp: new Date().toISOString() + }, null, 2) + ); + + console.log('\n💡 提示: 查看 all-prompts.json 了解每张图的Prompt详情'); +} + +main().catch(console.error); + + diff --git a/poc-workflow-v5.js b/poc-workflow-v5.js new file mode 100644 index 0000000..ff7de1e --- /dev/null +++ b/poc-workflow-v5.js @@ -0,0 +1,687 @@ +/** + * POC Workflow V5: P图合成工作流 + * + * 核心策略： + * - 产品部分：使用原始素材（100%一致） + * - 背景/场景：AI生成（无产品） + * - 文字排版：AI生成或代码叠加 + * - 最终图片：代码合成各层 + */ + +require('dotenv').config(); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const sharp = require('sharp'); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); +const imageProcessor = require('./lib/image-processor'); + +// ============================================================ +// 配置 +// ============================================================ +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; + +// R2客户端 +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +// ============================================================ +// 工具函数 +// ============================================================ + +async function uploadToR2(buffer, filename) { + const fileName = `v5-${Date.now()}-${filename}`; + + await r2Client.send(new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME || 'ai-flow', + Key: fileName, + Body: buffer, + ContentType: filename.endsWith('.png') ? 'image/png' : 'image/jpeg', + })); + + return process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET_NAME}/${fileName}`; +} + +async function uploadFileToR2(filePath) { + const buffer = fs.readFileSync(filePath); + return await uploadToR2(buffer, path.basename(filePath)); +} + +// 生图任务 +async function submitImageTask(prompt, refImageUrl = null, aspectRatio = '1:1') { + const payload = { + key: API_KEY, + prompt: prompt, + aspectRatio: aspectRatio, + imageSize: '1K' + }; + + if (refImageUrl) { + payload.img_url = refImageUrl; + } + + const response = await axios.post(`${API_BASE}/img/nanoBanana-pro`, payload, { timeout: 30000 }); + const taskId = response.data.data?.id; + + if (!taskId) { + throw new Error('No task ID returned'); + } + return taskId; +} + +async function pollImageResult(taskId) { + let attempts = 0; + const maxAttempts = 90; + + while (attempts < maxAttempts) { + try { + const response = await axios.get(`${API_BASE}/img/drawDetail`, { + params: { key: API_KEY, id: taskId }, + timeout: 10000 + }); + + const data = response.data.data; + + if (data && data.status === 2 && data.image_url) { + return data.image_url; + } else if (data && data.status === 3) { + throw new Error('Generation failed: ' + (data.fail_reason || 'Unknown')); + } + + process.stdout.write('.'); + await new Promise(r => setTimeout(r, 2000)); + attempts++; + } catch (error) { + if (error.message.includes('Generation failed')) throw error; + process.stdout.write('x'); + await new Promise(r => setTimeout(r, 3000)); + attempts++; + } + } + throw new Error('Timeout'); +} + +async function downloadImage(url) { + const response = await axios.get(url, { responseType: 'arraybuffer', timeout: 30000 }); + return Buffer.from(response.data); +} + +async function generateAIImage(prompt, refImageUrl = null, aspectRatio = '1:1') { + console.log(' 提交AI任务...'); + const taskId = await submitImageTask(prompt, refImageUrl, aspectRatio); + console.log(` Task ID: ${taskId}`); + + const imageUrl = await pollImageResult(taskId); + console.log('\n ✓ AI生成完成'); + + return await downloadImage(imageUrl); +} + +// ============================================================ +// 12张图的生成逻辑 +// ============================================================ + +/** + * Main_01: 场景首图+卖点 + * 策略：原图叠加到AI生成的背景上，再由AI添加文字 + */ +async function generateMain01(materials, config, outputDir) { + console.log('\n🎨 [Main_01] 场景首图+卖点'); + + // 直接用原佩戴图，让AI基于它编辑（添加文字和调整背景） + const wornBuffer = fs.readFileSync(materials.wornImage); + const wornUrl = await uploadToR2(wornBuffer, 'worn.jpg'); + + const prompt = ` +Edit this image of a cat wearing a pet recovery cone: +1. KEEP the cat and product EXACTLY as shown - DO NOT modify them +2. Enhance the background to be a warm, cozy home interior +3. Add soft, warm lighting effects +4. Add text overlay: + - A curved blue banner across the middle-left with text "DESIGNED FOR COMFORTABLE RECOVERY" + - 3 feature boxes at the bottom: + * "LIGHTER THAN AN EGG" with egg icon + * "WATERPROOF & EASY WIPE" with water droplet icon + * "BREATHABLE COTTON LINING" with cloud icon +5. Add subtle paw print decorations + +Style: Professional Amazon product photography with text overlay +Output: 1:1 square image, high quality +`.trim(); + + const result = await generateAIImage(prompt, wornUrl, '1:1'); + await imageProcessor.saveImage(result, path.join(outputDir, 'Main_01.jpg')); + return true; +} + +/** + * Main_02: 白底平铺+细节放大 + * 策略：使用原平铺图，代码添加标注和放大镜效果 + */ +async function generateMain02(materials, config, outputDir) { + console.log('\n🎨 [Main_02] 白底平铺+细节放大'); + + // 读取原图 + const flatBuffer = fs.readFileSync(materials.flatImage); + const metadata = await sharp(flatBuffer).metadata(); + + // 目标尺寸 1600x1600 + const targetSize = 1600; + + // 调整原图大小，留出空间给标题和标注 + const productSize = Math.floor(targetSize * 0.65); + const productBuffer = await sharp(flatBuffer) + .resize(productSize, productSize, { fit: 'contain', background: { r: 255, g: 255, b: 255, alpha: 1 } }) + .toBuffer(); + + // 创建白色背景 + const background = await sharp({ + create: { + width: targetSize, + height: targetSize, + channels: 3, + background: { r: 255, g: 255, b: 255 } + } + }).jpeg().toBuffer(); + + // 创建标题横幅 + const bannerHeight = 80; + const bannerSvg = ` + + + "DURABLE WATERPROOF PU LAYER" + + `; + const bannerBuffer = await sharp(Buffer.from(bannerSvg)).png().toBuffer(); + + // 创建两个放大镜效果的细节图 + const detailSize = 180; + + // 从原图裁剪细节区域（左下角材质，右下角内圈） + const origWidth = metadata.width; + const origHeight = metadata.height; + + // 细节1：左下角区域 + const detail1 = await sharp(flatBuffer) + .extract({ + left: Math.floor(origWidth * 0.1), + top: Math.floor(origHeight * 0.6), + width: Math.floor(origWidth * 0.25), + height: Math.floor(origHeight * 0.25) + }) + .resize(detailSize, detailSize, { fit: 'cover' }) + .toBuffer(); + + // 细节2：中心内圈区域 + const detail2 = await sharp(flatBuffer) + .extract({ + left: Math.floor(origWidth * 0.35), + top: Math.floor(origHeight * 0.35), + width: Math.floor(origWidth * 0.3), + height: Math.floor(origHeight * 0.3) + }) + .resize(detailSize, detailSize, { fit: 'cover' }) + .toBuffer(); + + // 创建圆形遮罩 + const circleMask = Buffer.from(` + + + + `); + + const detail1Circle = await sharp(detail1) + .composite([{ input: circleMask, blend: 'dest-in' }]) + .png() + .toBuffer(); + + const detail2Circle = await sharp(detail2) + .composite([{ input: circleMask, blend: 'dest-in' }]) + .png() + .toBuffer(); + + // 添加绿色边框 + const borderSvg = Buffer.from(` + + + + `); + + const detail1WithBorder = await sharp(detail1Circle) + .composite([{ input: borderSvg }]) + .toBuffer(); + + const detail2WithBorder = await sharp(detail2Circle) + .composite([{ input: borderSvg }]) + .toBuffer(); + + // 创建标签文字 + const label1Svg = Buffer.from(` + + DURABLE WATERPROOF PU LAYER + + `); + + const label2Svg = Buffer.from(` + + DOUBLE-LAYER COMFORT + + `); + + // 合成所有图层 + const productTop = bannerHeight + 50; + const productLeft = (targetSize - productSize) / 2; + + const composite = await sharp(background) + .composite([ + { input: bannerBuffer, top: 0, left: 0 }, + { input: productBuffer, top: productTop, left: productLeft }, + { input: detail1WithBorder, top: targetSize - detailSize - 120, left: 80 }, + { input: await sharp(label1Svg).png().toBuffer(), top: targetSize - 80, left: 80 }, + { input: detail2WithBorder, top: targetSize - detailSize - 120, left: targetSize - detailSize - 80 }, + { input: await sharp(label2Svg).png().toBuffer(), top: targetSize - 80, left: targetSize - 300 - 80 } + ]) + .jpeg({ quality: 95 }) + .toBuffer(); + + await imageProcessor.saveImage(composite, path.join(outputDir, 'Main_02.jpg')); + return true; +} + +/** + * Main_03-06 和 APlus_01-06: 使用原图让AI编辑 + * 策略：传入原图，让AI保持产品不变，只做背景和文字编辑 + */ +async function generateImageWithOriginal(id, name, materials, prompt, aspectRatio, outputDir) { + console.log(`\n🎨 [${id}] ${name}`); + + // 选择合适的参考图 + const refImage = id.includes('02') || id.includes('05') || id.includes('06') + ? materials.flatImage + : materials.wornImage; + + const refBuffer = fs.readFileSync(refImage); + const refUrl = await uploadToR2(refBuffer, `ref-${id}.jpg`); + + const result = await generateAIImage(prompt, refUrl, aspectRatio); + await imageProcessor.saveImage(result, path.join(outputDir, `${id}.jpg`)); + return true; +} + +/** + * APlus_02: 对比图 - 特殊处理 + * 左边用原图，右边AI生成竞品 + */ +async function generateAPlus02(materials, config, outputDir) { + console.log('\n🎨 [APlus_02] 对比图'); + + // 用原佩戴图作为参考 + const wornBuffer = fs.readFileSync(materials.wornImage); + const wornUrl = await uploadToR2(wornBuffer, 'comparison-ref.jpg'); + + const prompt = ` +Create an Amazon A+ comparison image (landscape 3:2 ratio): + +LEFT SIDE (colorful, positive): +- Show a happy cat/dog wearing the EXACT same soft cone collar from the reference image +- The cone collar must match the reference EXACTLY in color, shape, and material +- Green checkmark icon +- Label "OUR" on coral/orange background +- 3 selling points in white text: + • CLOUD-LIGHT COMFORT + • WIDER & CLEARER + • FOLDABLE & PORTABLE + +RIGHT SIDE (grayscale, negative): +- Show a sad cat wearing a HARD PLASTIC transparent cone (traditional lampshade style) +- Red X icon +- Label "OTHER" on gray background +- Grayscale/desaturated colors +- 3 weaknesses in gray text: + • HEAVY & BULKY + • BLOCKS VISION & MOVEMENT + • HARD TO STORE + +CRITICAL: +- LEFT product MUST match the reference image exactly (soft fabric cone) +- RIGHT product should be a generic hard plastic cone (NOT our product) +- NO product image in the center +- Background: warm beige with paw print watermarks +`.trim(); + + const result = await generateAIImage(prompt, wornUrl, '3:2'); + await imageProcessor.saveImage(result, path.join(outputDir, 'APlus_02.jpg')); + return true; +} + +// ============================================================ +// 主流程 +// ============================================================ + +async function main() { + const args = process.argv.slice(2); + let materialDir = path.join(__dirname, '素材/素材/已有的素材'); + let skuName = 'Touchdog冰蓝色伊丽莎白圈'; + + for (const arg of args) { + if (arg.startsWith('--material-dir=')) { + materialDir = arg.split('=')[1]; + } else if (arg.startsWith('--sku-name=')) { + skuName = arg.split('=')[1]; + } + } + + const timestamp = new Date().toISOString().slice(0, 19).replace(/[T:]/g, '-'); + const safeName = skuName.replace(/[^a-zA-Z0-9\u4e00-\u9fa5]/g, '_').slice(0, 20); + const outputDir = path.join(__dirname, `output_v5_${safeName}_${timestamp}`); + + console.log('\n' + '═'.repeat(70)); + console.log('🚀 POC Workflow V5 - P图合成工作流'); + console.log('═'.repeat(70)); + console.log('\n📋 核心策略: 保持原素材产品不变，AI只编辑背景和文字'); + console.log(' 素材目录:', materialDir); + console.log(' 输出目录:', outputDir); + + if (!fs.existsSync(outputDir)) { + fs.mkdirSync(outputDir, { recursive: true }); + } + + // 扫描素材 + const files = fs.readdirSync(materialDir); + const images = files.filter(f => /\.(jpg|jpeg|png)$/i.test(f)); + + // 识别平铺图和佩戴图 + let flatImage = images.find(i => i.includes('5683') || i.includes('1.png')); + let wornImage = images.find(i => i.includes('6514') || i.includes('3.png') || i.includes('3.jpg')); + + if (!flatImage) flatImage = images.find(i => i.endsWith('.png')) || images[0]; + if (!wornImage) wornImage = images.find(i => i.endsWith('.jpg') || i.endsWith('.JPG')) || flatImage; + + const materials = { + flatImage: path.join(materialDir, flatImage), + wornImage: path.join(materialDir, wornImage) + }; + + console.log('\n📁 素材:'); + console.log(' 平铺图:', flatImage); + console.log(' 佩戴图:', wornImage); + + const config = { brandName: 'TOUCHDOG', productName: 'CAT SOFT CONE COLLAR' }; + const results = []; + + // ========== 生成12张图 ========== + console.log('\n' + '─'.repeat(70)); + console.log('🎨 开始生成12张图'); + console.log('─'.repeat(70)); + + try { + // Main_01: 场景首图 + results.push({ id: 'Main_01', success: await generateMain01(materials, config, outputDir) }); + } catch (e) { + console.error('Main_01 失败:', e.message); + results.push({ id: 'Main_01', success: false, error: e.message }); + } + + try { + // Main_02: 白底平铺+细节（代码合成） + results.push({ id: 'Main_02', success: await generateMain02(materials, config, outputDir) }); + } catch (e) { + console.error('Main_02 失败:', e.message); + results.push({ id: 'Main_02', success: false, error: e.message }); + } + + // Main_03: 功能调节展示 + try { + const prompt03 = ` +Edit this image to create an Amazon product feature showcase: +1. KEEP the pet and product EXACTLY as shown +2. Use a background color that matches the product's main color +3. Add title at top-left: "ADJUSTABLE STRAP FOR A SECURE FIT" +4. Add 2 circular detail callouts on the right side: + - One showing velcro closure detail, label: "SECURE THE ADJUSTABLE STRAP" + - One showing the product from another angle, label: "ADJUST FOR A SNUG FIT" +5. Add paw print decorations +Style: Professional Amazon infographic, 1:1 square +`.trim(); + results.push({ id: 'Main_03', success: await generateImageWithOriginal('Main_03', '功能调节展示', materials, prompt03, '1:1', outputDir) }); + } catch (e) { + console.error('Main_03 失败:', e.message); + results.push({ id: 'Main_03', success: false, error: e.message }); + } + + // Main_04: 多场景使用 + try { + const prompt04 = ` +Create a 2x2 grid Amazon product image showing 4 usage scenarios: +Based on the reference image, show the SAME product (keep it identical) in 4 scenes: + +TOP-LEFT: Cat standing, wearing the product +Caption: "• HYGIENIC & EASY TO CLEAN" + +TOP-RIGHT: Cat eating from bowl while wearing product +Caption: "• UNRESTRICTED EATING/DRINKING" + +BOTTOM-LEFT: Cat playing/stretching with product +Caption: "• REVERSIBLE WEAR" + +BOTTOM-RIGHT: Cat sleeping peacefully with product +Caption: "• 360° COMFORT" + +CRITICAL: The product in ALL 4 scenes must match the reference image EXACTLY +Background: Warm beige with paw print watermarks +Style: Rounded rectangle frames for each scene +`.trim(); + results.push({ id: 'Main_04', success: await generateImageWithOriginal('Main_04', '多场景使用', materials, prompt04, '1:1', outputDir) }); + } catch (e) { + console.error('Main_04 失败:', e.message); + results.push({ id: 'Main_04', success: false, error: e.message }); + } + + // Main_05: 尺寸图（代码生成） + try { + console.log('\n🎨 [Main_05] 尺寸图'); + + const flatBuffer = fs.readFileSync(materials.flatImage); + const targetSize = 1600; + const productSize = Math.floor(targetSize * 0.5); + + const productBuffer = await sharp(flatBuffer) + .resize(productSize, productSize, { fit: 'contain', background: { r: 245, g: 237, b: 228, alpha: 1 } }) + .toBuffer(); + + // 创建米色背景 + const background = await sharp({ + create: { width: targetSize, height: targetSize, channels: 3, background: { r: 245, g: 237, b: 228 } } + }).jpeg().toBuffer(); + + // 标题 + const titleSvg = Buffer.from(` + + PRODUCT SIZE + + `); + + // 尺寸表 + const tableSvg = Buffer.from(` + + + SIZE + NECK + DEPTH + + + XS + 5.6-6.8IN + 3.2IN + + + S + 7.2-8.4IN + 4IN + + + M + 8.8-10.4IN + 5IN + + + L + 10.8-12.4IN + 6IN + + + XL + 12.8-14.4IN + 7IN + + + NOTE: ALWAYS MEASURE YOUR PET'S NECK BEFORE SELECTING A SIZE + + + `); + + const composite = await sharp(background) + .composite([ + { input: await sharp(titleSvg).png().toBuffer(), top: 20, left: 0 }, + { input: productBuffer, top: 120, left: (targetSize - productSize) / 2 }, + { input: await sharp(tableSvg).png().toBuffer(), top: targetSize - 450, left: (targetSize - 800) / 2 } + ]) + .jpeg({ quality: 95 }) + .toBuffer(); + + await imageProcessor.saveImage(composite, path.join(outputDir, 'Main_05.jpg')); + results.push({ id: 'Main_05', success: true }); + } catch (e) { + console.error('Main_05 失败:', e.message); + results.push({ id: 'Main_05', success: false, error: e.message }); + } + + // Main_06: 多角度展示 + try { + const prompt06 = ` +Edit this image to show multiple angles: +1. Split the image into two parts with a curved decorative divider +2. LEFT: Keep the cat wearing product as shown +3. RIGHT: Show the same cat from a different angle (side view) +4. CRITICAL: The product must be IDENTICAL in both views +5. Warm home interior background +6. NO text overlay +Style: Professional lifestyle photography, 1:1 square +`.trim(); + results.push({ id: 'Main_06', success: await generateImageWithOriginal('Main_06', '多角度展示', materials, prompt06, '1:1', outputDir) }); + } catch (e) { + console.error('Main_06 失败:', e.message); + results.push({ id: 'Main_06', success: false, error: e.message }); + } + + // APlus_01: 品牌横幅 + try { + const prompt_a01 = ` +Create an Amazon A+ brand banner (landscape 3:2): +1. LEFT 40%: Brand text area + - "TOUCHDOG" in playful coral/salmon color (#E8A87C) with paw prints + - "CAT SOFT CONE COLLAR" below in gray +2. RIGHT 60%: Show the cat wearing the product EXACTLY as in reference +3. Warm cozy home background +4. The product must match the reference EXACTLY +`.trim(); + results.push({ id: 'APlus_01', success: await generateImageWithOriginal('APlus_01', '品牌横幅', materials, prompt_a01, '3:2', outputDir) }); + } catch (e) { + console.error('APlus_01 失败:', e.message); + results.push({ id: 'APlus_01', success: false, error: e.message }); + } + + // APlus_02: 对比图 + try { + results.push({ id: 'APlus_02', success: await generateAPlus02(materials, config, outputDir) }); + } catch (e) { + console.error('APlus_02 失败:', e.message); + results.push({ id: 'APlus_02', success: false, error: e.message }); + } + + // APlus_03-06: 其他A+图 + const aplusPrompts = { + 'APlus_03': { + name: '功能细节', + prompt: `Create Amazon A+ feature details (3:2): +Title: "ENGINEERED FOR UNCOMPROMISED COMFORT" +Show 3 detail images with captions: +1. Inner lining close-up: "STURDY AND BREATHABLE" +2. Pet wearing with size marker: "EASY TO CLEAN, STYLISH" +3. Stitching detail: "REINFORCED STITCHING" +Product must match reference EXACTLY. Warm beige background.` + }, + 'APlus_04': { + name: '多场景横版', + prompt: `Create Amazon A+ horizontal 4-scene image (3:2): +4 scenes in a row, each showing the SAME product (match reference): +1. Cat standing: "HYGIENIC & EASY TO CLEAN" +2. Cat eating: "UNRESTRICTED EATING" +3. Cat playing: "REVERSIBLE WEAR" +4. Cat sleeping: "360° COMFORT" +Warm beige background with paw prints.` + }, + 'APlus_05': { + name: '多角度横版', + prompt: `Create Amazon A+ multiple angles image (3:2): +Show 2 views side by side with curved divider: +LEFT: Front view of cat wearing product +RIGHT: Side view of same product +Product must match reference EXACTLY. NO text. Warm background.` + }, + 'APlus_06': { + name: '尺寸表横版', + prompt: `Create Amazon A+ size chart (3:2): +LEFT: Product flat lay with dimension arrows (NECK, WIDTH) +RIGHT: Size chart table (XS to XL) +Title: "PRODUCT SIZE" +Product must match reference EXACTLY. Warm beige background.` + } + }; + + for (const [id, info] of Object.entries(aplusPrompts)) { + try { + results.push({ id, success: await generateImageWithOriginal(id, info.name, materials, info.prompt, '3:2', outputDir) }); + } catch (e) { + console.error(`${id} 失败:`, e.message); + results.push({ id, success: false, error: e.message }); + } + } + + // ========== 总结 ========== + console.log('\n' + '═'.repeat(70)); + console.log('📊 生成完成'); + console.log('═'.repeat(70)); + + const successCount = results.filter(r => r.success).length; + console.log(`\n✅ 成功: ${successCount}/${results.length}`); + + if (successCount < results.length) { + console.log('\n❌ 失败:'); + results.filter(r => !r.success).forEach(r => console.log(` - ${r.id}: ${r.error}`)); + } + + console.log(`\n📁 输出目录: ${outputDir}`); + + fs.writeFileSync(path.join(outputDir, 'results.json'), JSON.stringify(results, null, 2)); +} + +main().catch(console.error); + + diff --git a/poc-workflow-v6.js b/poc-workflow-v6.js new file mode 100644 index 0000000..0b1a860 --- /dev/null +++ b/poc-workflow-v6.js @@ -0,0 +1,876 @@ +/** + * POC Workflow V6: 优化Prompt控制策略 + * + * 核心改进： + * 1. 修复素材选择（使用猫咪图而非狗狗图） + * 2. 优化Prompt - 更精准地指示AI保持主体不变 + * 3. 分类处理不同复杂度的图片 + */ + +require('dotenv').config(); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const sharp = require('sharp'); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); +const imageProcessor = require('./lib/image-processor'); + +// ============================================================ +// 配置 +// ============================================================ +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; + +// R2客户端 +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +// ============================================================ +// 工具函数 +// ============================================================ + +async function uploadToR2(buffer, filename) { + const fileName = `v6-${Date.now()}-${filename}`; + + await r2Client.send(new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME || 'ai-flow', + Key: fileName, + Body: buffer, + ContentType: filename.endsWith('.png') ? 'image/png' : 'image/jpeg', + })); + + return process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET_NAME}/${fileName}`; +} + +async function submitImageTask(prompt, refImageUrl = null, aspectRatio = '1:1') { + const payload = { + key: API_KEY, + prompt: prompt, + aspectRatio: aspectRatio, + imageSize: '1K' + }; + + if (refImageUrl) { + payload.img_url = refImageUrl; + } + + const response = await axios.post(`${API_BASE}/img/nanoBanana-pro`, payload, { timeout: 30000 }); + const taskId = response.data.data?.id; + + if (!taskId) { + throw new Error('No task ID returned'); + } + return taskId; +} + +async function pollImageResult(taskId) { + let attempts = 0; + const maxAttempts = 90; + + while (attempts < maxAttempts) { + try { + const response = await axios.get(`${API_BASE}/img/drawDetail`, { + params: { key: API_KEY, id: taskId }, + timeout: 10000 + }); + + const data = response.data.data; + + if (data && data.status === 2 && data.image_url) { + return data.image_url; + } else if (data && data.status === 3) { + throw new Error('Generation failed: ' + (data.fail_reason || 'Unknown')); + } + + process.stdout.write('.'); + await new Promise(r => setTimeout(r, 2000)); + attempts++; + } catch (error) { + if (error.message.includes('Generation failed')) throw error; + process.stdout.write('x'); + await new Promise(r => setTimeout(r, 3000)); + attempts++; + } + } + throw new Error('Timeout'); +} + +async function downloadImage(url) { + const response = await axios.get(url, { responseType: 'arraybuffer', timeout: 30000 }); + return Buffer.from(response.data); +} + +async function generateAIImage(prompt, refImageUrl = null, aspectRatio = '1:1') { + console.log(' 提交AI任务...'); + const taskId = await submitImageTask(prompt, refImageUrl, aspectRatio); + console.log(` Task ID: ${taskId}`); + + const imageUrl = await pollImageResult(taskId); + console.log('\n ✓ AI生成完成'); + + return await downloadImage(imageUrl); +} + +// ============================================================ +// Prompt模板 - 核心优化 +// ============================================================ + +/** + * 构建精准的编辑prompt + * 核心策略：明确告诉AI这是"编辑"任务，精确描述要保留的元素 + */ +function buildEditPrompt(config) { + const { + subjectDescription, // 主体描述（产品+宠物） + preserveElements, // 必须保留的元素 + editTasks, // 编辑任务 + layoutDescription, // 排版描述 + styleGuide, // 风格指南 + aspectRatio // 比例 + } = config; + + return ` +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: ${subjectDescription} + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +${preserveElements.map((e, i) => `${i + 1}. ${e}`).join('\n')} + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +${editTasks.map((t, i) => `${i + 1}. ${t}`).join('\n')} + +LAYOUT SPECIFICATION: +${layoutDescription} + +STYLE GUIDE: +${styleGuide} + +OUTPUT: ${aspectRatio} ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +`.trim(); +} + +// ============================================================ +// 12张图的生成逻辑 +// ============================================================ + +/** + * Main_01: 场景首图+卖点 + */ +async function generateMain01(materials, config, outputDir) { + console.log('\n🎨 [Main_01] 场景首图+卖点'); + + const wornBuffer = fs.readFileSync(materials.catWornImage); + const wornUrl = await uploadToR2(wornBuffer, 'cat-worn.jpg'); + + const prompt = buildEditPrompt({ + subjectDescription: `A Ragdoll cat (white/cream fur with light brown markings, blue eyes) wearing an ice-blue soft recovery cone collar (brand: TOUCHDOG). The cat is in a home environment.`, + + preserveElements: [ + `The cat MUST remain a Ragdoll with blue eyes, white/cream fur, brown ear markings - EXACTLY as shown`, + `The cone collar MUST remain ice-blue (#B5E5E8), flower/petal shaped, with "TOUCHDOG" branding`, + `The cat's pose, expression, and the way the collar sits on the cat`, + `The product's texture, stitching pattern, and velcro closure detail` + ], + + editTasks: [ + `Enhance background to warm, cozy home interior (fireplace, blanket, wooden furniture)`, + `Add soft warm lighting with gentle shadows`, + `Add a curved blue banner (#4A7C9B) across middle area with text: "DESIGNED FOR COMFORTABLE RECOVERY"`, + `Add 3 white feature boxes at bottom with icons and text: + - Egg icon + "LIGHTER THAN AN EGG" + - Water drop icon + "WATERPROOF & EASY WIPE" + - Cloud icon + "BREATHABLE COTTON LINING"`, + `Add subtle paw print watermarks in light blue on the banner area` + ], + + layoutDescription: ` + - Top 60%: Cat wearing product in enhanced home scene + - Middle: Curved banner with main tagline + - Bottom 25%: Three feature callout boxes in a row`, + + styleGuide: `Professional Amazon main image style. Warm color palette. Text should be crisp and readable. The cat and product should be the clear focal point.`, + + aspectRatio: '1:1 square' + }); + + const result = await generateAIImage(prompt, wornUrl, '1:1'); + await imageProcessor.saveImage(result, path.join(outputDir, 'Main_01.jpg')); + + // 保存prompt供调试 + fs.writeFileSync(path.join(outputDir, 'Main_01_prompt.txt'), prompt); + return true; +} + +/** + * Main_03: 功能调节展示 (参考效果最好的那张) + */ +async function generateMain03(materials, config, outputDir) { + console.log('\n🎨 [Main_03] 功能调节展示'); + + // 使用平铺图作为主参考 + const flatBuffer = fs.readFileSync(materials.flatImage); + const flatUrl = await uploadToR2(flatBuffer, 'flat.png'); + + const prompt = buildEditPrompt({ + subjectDescription: `An ice-blue soft pet recovery cone collar (TOUCHDOG brand) shown in flat lay position. The product has a flower/petal shape with 8 segments, velcro closure, and green inner rim.`, + + preserveElements: [ + `The product MUST remain EXACTLY as shown: ice-blue color (#B5E5E8), flower shape, TOUCHDOG branding`, + `The velcro strap detail on the left side`, + `The green/teal inner rim around the neck hole`, + `The 8-petal segmented design with visible stitching` + ], + + editTasks: [ + `Place the product on a soft blue background (#6B9AC4) that complements the product color`, + `Add title text at top-left: "ADJUSTABLE STRAP FOR A SECURE FIT" in white, bold`, + `Add 2 circular detail callout images on the right side: + - Top circle: Close-up of the velcro strap, caption "SECURE THE ADJUSTABLE STRAP" + - Bottom circle: Product being worn by a pet showing fit, caption "ADJUST FOR A SNUG FIT"`, + `Add decorative white paw prints scattered in the background`, + `Add thin white circular borders around the detail callouts` + ], + + layoutDescription: ` + - Left side (60%): Main product image, slightly angled + - Top-left corner: Title text + - Right side (40%): Two stacked circular detail images with captions + - Scattered paw prints as decoration`, + + styleGuide: `Clean infographic style. Blue color scheme matching the product. Professional Amazon A+ content quality. High contrast text for readability.`, + + aspectRatio: '1:1 square' + }); + + const result = await generateAIImage(prompt, flatUrl, '1:1'); + await imageProcessor.saveImage(result, path.join(outputDir, 'Main_03.jpg')); + fs.writeFileSync(path.join(outputDir, 'Main_03_prompt.txt'), prompt); + return true; +} + +/** + * Main_04: 多场景使用 - 关键优化 + * 这是最难的图，需要在4个场景中保持同一产品和宠物 + */ +async function generateMain04(materials, config, outputDir) { + console.log('\n🎨 [Main_04] 多场景使用 (4宫格)'); + + const wornBuffer = fs.readFileSync(materials.catWornImage); + const wornUrl = await uploadToR2(wornBuffer, 'cat-worn-grid.jpg'); + + const prompt = buildEditPrompt({ + subjectDescription: `A Ragdoll cat (white/cream long fur, light brown markings on ears and face, distinctive blue eyes, pink nose) wearing an ice-blue TOUCHDOG soft recovery cone collar.`, + + preserveElements: [ + `ALL 4 SCENES MUST SHOW THE EXACT SAME CAT: Ragdoll breed, blue eyes, white/cream fur, brown ear markings`, + `ALL 4 SCENES MUST SHOW THE EXACT SAME PRODUCT: Ice-blue (#B5E5E8) flower-shaped soft cone, TOUCHDOG brand`, + `The cat's fur texture and coloring must be consistent across all 4 images`, + `The product's color, shape, and branding must be identical in all 4 scenes` + ], + + editTasks: [ + `Create a 2x2 grid layout with 4 scenes, each in a rounded rectangle frame`, + `TOP-LEFT scene: Cat standing alert, wearing the cone - Caption: "• HYGIENIC & EASY TO CLEAN"`, + `TOP-RIGHT scene: Cat eating/drinking from a bowl while wearing cone - Caption: "• UNRESTRICTED EATING/DRINKING"`, + `BOTTOM-LEFT scene: Cat stretching or playing while wearing cone - Caption: "• REVERSIBLE WEAR"`, + `BOTTOM-RIGHT scene: Cat sleeping peacefully curled up with cone - Caption: "• 360° COMFORT"`, + `Add light paw print watermarks in corners of the overall image` + ], + + layoutDescription: ` + - Background: Warm beige/cream (#F5EBE0) + - 2x2 grid of equal-sized rounded rectangles + - Each scene has the same cat in different poses + - Caption text below each scene in brown (#8B7355) + - Subtle paw prints in corners`, + + styleGuide: ` + Lifestyle photography style. Warm, inviting colors. + The cat should look comfortable and happy in all scenes. + Consistent lighting across all 4 scenes. + CRITICAL: The cat must be recognizably the SAME individual cat in all scenes.`, + + aspectRatio: '1:1 square' + }); + + const result = await generateAIImage(prompt, wornUrl, '1:1'); + await imageProcessor.saveImage(result, path.join(outputDir, 'Main_04.jpg')); + fs.writeFileSync(path.join(outputDir, 'Main_04_prompt.txt'), prompt); + return true; +} + +/** + * Main_05: 尺寸图 + */ +async function generateMain05(materials, config, outputDir) { + console.log('\n🎨 [Main_05] 尺寸图'); + + const flatBuffer = fs.readFileSync(materials.flatImage); + const flatUrl = await uploadToR2(flatBuffer, 'flat-size.png'); + + const prompt = buildEditPrompt({ + subjectDescription: `An ice-blue TOUCHDOG soft pet recovery cone collar in flat lay position, showing its flower/petal shape design.`, + + preserveElements: [ + `The product MUST remain EXACTLY as shown: ice-blue color, flower shape, TOUCHDOG branding`, + `The product's proportions and shape`, + `The velcro closure and inner rim details` + ], + + editTasks: [ + `Place product on warm beige background (#F5EDE4)`, + `Add title "PRODUCT SIZE" at top center in dark text`, + `Add a size chart table below the product with columns: SIZE | NECK | DEPTH`, + `Table data: + XS: 5.6-6.8IN | 3.2IN + S: 7.2-8.4IN | 4IN + M: 8.8-10.4IN | 5IN + L: 10.8-12.4IN | 6IN + XL: 12.8-14.4IN | 7IN`, + `Add note in coral/salmon color: "NOTE: ALWAYS MEASURE YOUR PET'S NECK BEFORE SELECTING A SIZE"`, + `Add subtle paw print decorations in beige tones` + ], + + layoutDescription: ` + - Top: Title + - Center: Product image (main focus) + - Bottom: Size chart table with clean design`, + + styleGuide: `Clean, informative infographic style. Easy to read table. Warm neutral background. Professional Amazon listing quality.`, + + aspectRatio: '1:1 square' + }); + + const result = await generateAIImage(prompt, flatUrl, '1:1'); + await imageProcessor.saveImage(result, path.join(outputDir, 'Main_05.jpg')); + fs.writeFileSync(path.join(outputDir, 'Main_05_prompt.txt'), prompt); + return true; +} + +/** + * Main_02: 白底平铺+细节放大 + */ +async function generateMain02(materials, config, outputDir) { + console.log('\n🎨 [Main_02] 白底平铺+细节放大'); + + const flatBuffer = fs.readFileSync(materials.flatImage); + const flatUrl = await uploadToR2(flatBuffer, 'flat-detail.png'); + + const prompt = buildEditPrompt({ + subjectDescription: `An ice-blue TOUCHDOG soft pet recovery cone collar in flat lay position on black background. The product has a flower/petal shape with 8 segments, velcro closure on left, and green inner rim.`, + + preserveElements: [ + `The product MUST remain EXACTLY as shown: ice-blue color (#B5E5E8), flower shape, 8 petal segments`, + `The TOUCHDOG branding text on the product`, + `The velcro strap detail and green/teal inner rim`, + `The product's proportions and stitching pattern` + ], + + editTasks: [ + `Change background from black to clean white`, + `Add a dark green (#2D4A3E) banner at top with text: "DURABLE WATERPROOF PU LAYER"`, + `Add 2 circular magnified detail callouts at bottom: + - Left circle: Close-up of outer material texture, label "DURABLE WATERPROOF PU LAYER" + - Right circle: Close-up of inner lining, label "DOUBLE-LAYER COMFORT"`, + `Add thin green borders around detail circles`, + `Keep layout clean and professional` + ], + + layoutDescription: ` + - Top: Dark green banner with title + - Center: Main product image on white background + - Bottom: Two circular detail magnifications with labels`, + + styleGuide: `Clean white background product photography. Professional Amazon main image style. High contrast, sharp details.`, + + aspectRatio: '1:1 square' + }); + + const result = await generateAIImage(prompt, flatUrl, '1:1'); + await imageProcessor.saveImage(result, path.join(outputDir, 'Main_02.jpg')); + fs.writeFileSync(path.join(outputDir, 'Main_02_prompt.txt'), prompt); + return true; +} + +/** + * Main_06: 多角度展示 + */ +async function generateMain06(materials, config, outputDir) { + console.log('\n🎨 [Main_06] 多角度展示'); + + const wornBuffer = fs.readFileSync(materials.catWornImage); + const wornUrl = await uploadToR2(wornBuffer, 'multi-angle.jpg'); + + const prompt = buildEditPrompt({ + subjectDescription: `A Ragdoll cat (white/cream fur, brown ear markings, blue eyes) wearing an ice-blue TOUCHDOG soft recovery cone collar.`, + + preserveElements: [ + `The cat MUST remain a Ragdoll: blue eyes, white/cream fur, brown markings`, + `The product MUST remain ice-blue (#B5E5E8), flower-shaped, TOUCHDOG branded`, + `Both views must show the EXACT SAME cat and product` + ], + + editTasks: [ + `Create a split image with curved decorative divider in the middle`, + `LEFT SIDE: Front view of cat wearing the cone (from reference)`, + `RIGHT SIDE: Side/profile view of the same cat wearing the same cone`, + `Warm home interior background in both halves`, + `NO text overlays - pure lifestyle imagery` + ], + + layoutDescription: ` + - Split layout with elegant curved divider + - Left: Front view + - Right: Side view + - Consistent warm lighting across both`, + + styleGuide: `Lifestyle photography. Warm, cozy atmosphere. The cat should look comfortable. NO text.`, + + aspectRatio: '1:1 square' + }); + + const result = await generateAIImage(prompt, wornUrl, '1:1'); + await imageProcessor.saveImage(result, path.join(outputDir, 'Main_06.jpg')); + fs.writeFileSync(path.join(outputDir, 'Main_06_prompt.txt'), prompt); + return true; +} + +/** + * APlus_01: 品牌横幅 + */ +async function generateAPlus01(materials, config, outputDir) { + console.log('\n🎨 [APlus_01] 品牌横幅'); + + const wornBuffer = fs.readFileSync(materials.catWornImage); + const wornUrl = await uploadToR2(wornBuffer, 'brand-banner.jpg'); + + const prompt = buildEditPrompt({ + subjectDescription: `A Ragdoll cat wearing an ice-blue TOUCHDOG soft recovery cone collar in a home setting.`, + + preserveElements: [ + `The cat MUST remain a Ragdoll with blue eyes and white/cream fur`, + `The product MUST remain ice-blue, flower-shaped, TOUCHDOG branded` + ], + + editTasks: [ + `Create a horizontal banner layout (3:2 ratio)`, + `LEFT 40%: Brand text area with: + - "TOUCHDOG" in playful coral/salmon color (#E8A87C) + - Small paw print icons around the brand name + - "CAT SOFT CONE COLLAR" below in gray`, + `RIGHT 60%: The cat wearing the product in a warm home setting`, + `Soft, warm color palette throughout` + ], + + layoutDescription: ` + - Left side: Brand name and product title + - Right side: Hero image of cat with product + - Warm, cohesive color scheme`, + + styleGuide: `Amazon A+ brand story style. Warm and inviting. Professional yet friendly.`, + + aspectRatio: '3:2 landscape' + }); + + const result = await generateAIImage(prompt, wornUrl, '3:2'); + await imageProcessor.saveImage(result, path.join(outputDir, 'APlus_01.jpg')); + fs.writeFileSync(path.join(outputDir, 'APlus_01_prompt.txt'), prompt); + return true; +} + +/** + * APlus_02: 对比图 + */ +async function generateAPlus02(materials, config, outputDir) { + console.log('\n🎨 [APlus_02] 对比图'); + + const wornBuffer = fs.readFileSync(materials.catWornImage); + const wornUrl = await uploadToR2(wornBuffer, 'comparison.jpg'); + + const prompt = buildEditPrompt({ + subjectDescription: `A Ragdoll cat wearing an ice-blue TOUCHDOG soft recovery cone collar.`, + + preserveElements: [ + `LEFT SIDE: The cat and product MUST match the reference - Ragdoll cat, ice-blue soft cone`, + `The product color (#B5E5E8), flower shape, and TOUCHDOG branding on left side` + ], + + editTasks: [ + `Create a side-by-side comparison layout`, + `LEFT SIDE (60% width, colorful): + - Happy Ragdoll cat wearing our ice-blue soft cone (from reference) + - Green checkmark icon + - "OUR" label on coral/orange banner + - 3 benefits in white: "CLOUD-LIGHT COMFORT", "WIDER & CLEARER", "FOLDABLE & PORTABLE"`, + `RIGHT SIDE (40% width, grayscale): + - Sad-looking cat wearing a DIFFERENT product: hard plastic transparent cone (traditional e-collar) + - Red X icon + - "OTHER" label on gray banner + - 3 drawbacks in gray: "HEAVY & BULKY", "BLOCKS VISION & MOVEMENT", "HARD TO STORE"`, + `Warm beige background with paw print watermarks` + ], + + layoutDescription: ` + - Split layout with curved divider + - Left side larger, full color, positive mood + - Right side smaller, desaturated, negative mood + - Text overlays on each side`, + + styleGuide: ` + Clear visual contrast between "us" and "them". + Left side warm and inviting, right side cold and uncomfortable. + IMPORTANT: Right side must show a DIFFERENT type of cone (hard plastic), not our product.`, + + aspectRatio: '3:2 landscape' + }); + + const result = await generateAIImage(prompt, wornUrl, '3:2'); + await imageProcessor.saveImage(result, path.join(outputDir, 'APlus_02.jpg')); + fs.writeFileSync(path.join(outputDir, 'APlus_02_prompt.txt'), prompt); + return true; +} + +/** + * APlus_03: 功能细节展示 + */ +async function generateAPlus03(materials, config, outputDir) { + console.log('\n🎨 [APlus_03] 功能细节展示'); + + const wornBuffer = fs.readFileSync(materials.catWornImage); + const wornUrl = await uploadToR2(wornBuffer, 'feature-detail.jpg'); + + const prompt = buildEditPrompt({ + subjectDescription: `A Ragdoll cat wearing an ice-blue TOUCHDOG soft recovery cone collar.`, + + preserveElements: [ + `The cat MUST remain a Ragdoll with blue eyes`, + `The product MUST remain ice-blue, flower-shaped, TOUCHDOG branded` + ], + + editTasks: [ + `Create horizontal layout (3:2) with title and 3 detail panels`, + `Title at top: "ENGINEERED FOR UNCOMPROMISED COMFORT" in dark text`, + `3 detail images in a row below: + - Panel 1: Close-up of inner cotton lining texture, caption "STURDY AND BREATHABLE" + - Panel 2: Cat wearing the product looking comfortable, caption "EASY TO CLEAN, STYLISH" + - Panel 3: Close-up of stitching detail, caption "REINFORCED STITCHING"`, + `Warm beige background (#F5EBE0) with subtle paw prints` + ], + + layoutDescription: ` + - Top: Title banner + - Bottom: Three equal-width panels with captions`, + + styleGuide: `Amazon A+ feature module style. Clean, informative. Warm color palette.`, + + aspectRatio: '3:2 landscape' + }); + + const result = await generateAIImage(prompt, wornUrl, '3:2'); + await imageProcessor.saveImage(result, path.join(outputDir, 'APlus_03.jpg')); + fs.writeFileSync(path.join(outputDir, 'APlus_03_prompt.txt'), prompt); + return true; +} + +/** + * APlus_04: 多场景横版 + */ +async function generateAPlus04(materials, config, outputDir) { + console.log('\n🎨 [APlus_04] 多场景横版'); + + const wornBuffer = fs.readFileSync(materials.catWornImage); + const wornUrl = await uploadToR2(wornBuffer, 'scenes-horizontal.jpg'); + + const prompt = buildEditPrompt({ + subjectDescription: `A Ragdoll cat (white/cream fur, blue eyes, brown ear markings) wearing an ice-blue TOUCHDOG soft recovery cone collar.`, + + preserveElements: [ + `ALL 4 SCENES MUST SHOW THE EXACT SAME CAT: Ragdoll breed, blue eyes, white/cream fur`, + `ALL 4 SCENES MUST SHOW THE EXACT SAME PRODUCT: Ice-blue flower-shaped soft cone`, + `Consistent cat appearance and product across all panels` + ], + + editTasks: [ + `Create horizontal layout (3:2) with 4 scenes in a row`, + `Scene 1: Cat standing - "HYGIENIC & EASY TO CLEAN"`, + `Scene 2: Cat eating from bowl - "UNRESTRICTED EATING"`, + `Scene 3: Cat playing/stretching - "REVERSIBLE WEAR"`, + `Scene 4: Cat sleeping curled up - "360° COMFORT"`, + `Each scene in a rounded rectangle frame`, + `Warm beige background with paw print decorations` + ], + + layoutDescription: ` + - 4 equal panels arranged horizontally + - Each panel has image + caption below + - Consistent warm lighting across all`, + + styleGuide: `Lifestyle photography. Same cat in all scenes. Warm, cozy feel.`, + + aspectRatio: '3:2 landscape' + }); + + const result = await generateAIImage(prompt, wornUrl, '3:2'); + await imageProcessor.saveImage(result, path.join(outputDir, 'APlus_04.jpg')); + fs.writeFileSync(path.join(outputDir, 'APlus_04_prompt.txt'), prompt); + return true; +} + +/** + * APlus_05: 多角度横版 + */ +async function generateAPlus05(materials, config, outputDir) { + console.log('\n🎨 [APlus_05] 多角度横版'); + + const wornBuffer = fs.readFileSync(materials.catWornImage); + const wornUrl = await uploadToR2(wornBuffer, 'angles-horizontal.jpg'); + + const prompt = buildEditPrompt({ + subjectDescription: `A Ragdoll cat wearing an ice-blue TOUCHDOG soft recovery cone collar.`, + + preserveElements: [ + `Both views must show the SAME Ragdoll cat with blue eyes`, + `Both views must show the SAME ice-blue TOUCHDOG cone` + ], + + editTasks: [ + `Create horizontal split layout (3:2)`, + `LEFT: Front view of cat wearing cone`, + `RIGHT: Side/profile view of same cat with cone`, + `Elegant curved divider between the two views`, + `Warm home background in both`, + `NO text - pure visual showcase` + ], + + layoutDescription: ` + - Two equal halves with curved divider + - Left: Front angle + - Right: Side angle + - Warm consistent lighting`, + + styleGuide: `High-end lifestyle photography. No text. Warm atmosphere.`, + + aspectRatio: '3:2 landscape' + }); + + const result = await generateAIImage(prompt, wornUrl, '3:2'); + await imageProcessor.saveImage(result, path.join(outputDir, 'APlus_05.jpg')); + fs.writeFileSync(path.join(outputDir, 'APlus_05_prompt.txt'), prompt); + return true; +} + +/** + * APlus_06: 尺寸表横版 + * 优化：明确描述产品的C形开口特征 + */ +async function generateAPlus06(materials, config, outputDir) { + console.log('\n🎨 [APlus_06] 尺寸表横版'); + + const flatBuffer = fs.readFileSync(materials.flatImage); + const flatUrl = await uploadToR2(flatBuffer, 'size-chart-h.png'); + + const prompt = buildEditPrompt({ + subjectDescription: `An ice-blue TOUCHDOG soft pet recovery cone collar in flat lay position. +CRITICAL SHAPE DETAIL: The product has a C-SHAPED OPENING (not a closed circle) - there is a GAP on the left side where the velcro strap attaches. This opening allows the collar to wrap around the pet's neck.`, + + preserveElements: [ + `The product MUST keep its C-SHAPED OPENING - DO NOT close the gap into a full circle`, + `The velcro strap visible on the left side of the opening`, + `Ice-blue color (#B5E5E8), flower/petal shape with 8 segments`, + `TOUCHDOG brand text on the product`, + `Green/teal inner rim around the neck hole` + ], + + editTasks: [ + `Change background from black to warm beige (#F5EDE4)`, + `Add title "PRODUCT SIZE" at top center in dark text`, + `Add dimension labels: "NECK" pointing to inner circle, "DEPTH" pointing outward`, + `Add size chart table on the right: + SIZE | NECK | DEPTH + XS | 5.6-6.8IN | 3.2IN + S | 7.2-8.4IN | 4IN + M | 8.8-10.4IN | 5IN + L | 10.8-12.4IN | 6IN + XL | 12.8-14.4IN | 7IN`, + `Add note in coral: "ALWAYS MEASURE YOUR PET'S NECK BEFORE SELECTING A SIZE"`, + `Add subtle paw print watermarks` + ], + + layoutDescription: ` + - Left 45%: Product image maintaining C-shape opening + - Right 55%: Size chart table + - Top: Title + - Bottom: Note text`, + + styleGuide: `Clean infographic style. The product's C-shaped opening must be clearly visible - this is a key feature showing how it wraps around the neck.`, + + aspectRatio: '3:2 landscape' + }); + + const result = await generateAIImage(prompt, flatUrl, '3:2'); + await imageProcessor.saveImage(result, path.join(outputDir, 'APlus_06.jpg')); + fs.writeFileSync(path.join(outputDir, 'APlus_06_prompt.txt'), prompt); + return true; +} + +// ============================================================ +// 主流程 +// ============================================================ + +async function main() { + const args = process.argv.slice(2); + let materialDir = path.join(__dirname, '素材/素材/已有的素材'); + let skuName = 'Touchdog冰蓝色伊丽莎白圈'; + + // 可选：只生成指定的图 + let onlyGenerate = null; // e.g., ['Main_01', 'Main_04'] + + for (const arg of args) { + if (arg.startsWith('--material-dir=')) { + materialDir = arg.split('=')[1]; + } else if (arg.startsWith('--sku-name=')) { + skuName = arg.split('=')[1]; + } else if (arg.startsWith('--only=')) { + onlyGenerate = arg.split('=')[1].split(','); + } + } + + const timestamp = new Date().toISOString().slice(0, 10); + const timeStr = new Date().toTimeString().slice(0, 8).replace(/:/g, '-'); + const safeName = skuName.replace(/[^a-zA-Z0-9\u4e00-\u9fa5]/g, '_').slice(0, 20); + const outputDir = path.join(__dirname, `output_v6_${safeName}_${timestamp}-${timeStr}`); + + console.log('\n' + '═'.repeat(70)); + console.log('🚀 POC Workflow V6 - 优化Prompt控制策略'); + console.log('═'.repeat(70)); + console.log('\n📋 核心策略: 精准Prompt控制，明确保留元素，限定编辑范围'); + console.log(' 素材目录:', materialDir); + console.log(' 输出目录:', outputDir); + + if (!fs.existsSync(outputDir)) { + fs.mkdirSync(outputDir, { recursive: true }); + } + + // 扫描素材 + const files = fs.readdirSync(materialDir); + const images = files.filter(f => /\.(jpg|jpeg|png)$/i.test(f)); + + console.log('\n📁 可用素材:'); + images.forEach(img => console.log(` - ${img}`)); + + // ========== 修复：正确识别素材 ========== + // 平铺图：IMG_5683.png（黑底抠图） + const flatImage = images.find(i => i.includes('5683')) || images.find(i => i.endsWith('.png')); + + // 猫咪佩戴图：IMG_6216 或 IMG_6229（不是6514的狗狗图！） + const catWornImage = images.find(i => i.includes('6216')) || + images.find(i => i.includes('6229')) || + images.find(i => i.toLowerCase().includes('cat')); + + // 狗狗佩戴图（备用） + const dogWornImage = images.find(i => i.includes('6514')); + + if (!flatImage) { + console.error('❌ 找不到平铺图素材'); + return; + } + if (!catWornImage) { + console.error('❌ 找不到猫咪佩戴图素材'); + console.log(' 可用文件:', images); + return; + } + + const materials = { + flatImage: path.join(materialDir, flatImage), + catWornImage: path.join(materialDir, catWornImage), + dogWornImage: dogWornImage ? path.join(materialDir, dogWornImage) : null + }; + + console.log('\n✅ 素材选择:'); + console.log(' 平铺图:', flatImage); + console.log(' 猫咪佩戴图:', catWornImage, '← 使用这个'); + if (dogWornImage) console.log(' 狗狗佩戴图:', dogWornImage, '(备用)'); + + const config = { brandName: 'TOUCHDOG', productName: 'CAT SOFT CONE COLLAR' }; + const results = []; + + // ========== 生成图片 ========== + console.log('\n' + '─'.repeat(70)); + console.log('🎨 开始生成图片'); + console.log('─'.repeat(70)); + + const generators = { + 'Main_01': () => generateMain01(materials, config, outputDir), + 'Main_02': () => generateMain02(materials, config, outputDir), + 'Main_03': () => generateMain03(materials, config, outputDir), + 'Main_04': () => generateMain04(materials, config, outputDir), + 'Main_05': () => generateMain05(materials, config, outputDir), + 'Main_06': () => generateMain06(materials, config, outputDir), + 'APlus_01': () => generateAPlus01(materials, config, outputDir), + 'APlus_02': () => generateAPlus02(materials, config, outputDir), + 'APlus_03': () => generateAPlus03(materials, config, outputDir), + 'APlus_04': () => generateAPlus04(materials, config, outputDir), + 'APlus_05': () => generateAPlus05(materials, config, outputDir), + 'APlus_06': () => generateAPlus06(materials, config, outputDir), + }; + + for (const [id, generator] of Object.entries(generators)) { + if (onlyGenerate && !onlyGenerate.includes(id)) { + console.log(`\n⏭️ [${id}] 跳过`); + continue; + } + + try { + results.push({ id, success: await generator() }); + } catch (e) { + console.error(`\n❌ ${id} 失败:`, e.message); + results.push({ id, success: false, error: e.message }); + } + } + + // ========== 总结 ========== + console.log('\n' + '═'.repeat(70)); + console.log('📊 生成完成'); + console.log('═'.repeat(70)); + + const successCount = results.filter(r => r.success).length; + console.log(`\n✅ 成功: ${successCount}/${results.length}`); + + if (successCount < results.length) { + console.log('\n❌ 失败:'); + results.filter(r => !r.success).forEach(r => console.log(` - ${r.id}: ${r.error}`)); + } + + console.log(`\n📁 输出目录: ${outputDir}`); + console.log(' 每张图都保存了对应的 _prompt.txt 供调试'); + + // 保存所有prompt到一个文件 + const allPrompts = {}; + for (const id of Object.keys(generators)) { + const promptFile = path.join(outputDir, `${id}_prompt.txt`); + if (fs.existsSync(promptFile)) { + allPrompts[id] = fs.readFileSync(promptFile, 'utf-8'); + } + } + fs.writeFileSync(path.join(outputDir, 'all-prompts.json'), JSON.stringify(allPrompts, null, 2)); + fs.writeFileSync(path.join(outputDir, 'results.json'), JSON.stringify(results, null, 2)); +} + +main().catch(console.error); + diff --git a/poc-workflow.js b/poc-workflow.js new file mode 100644 index 0000000..706e8c8 --- /dev/null +++ b/poc-workflow.js @@ -0,0 +1,383 @@ +/** + * POC Workflow: Vision Analysis -> Optimized Generation (Full 12 Images) + * API Provider: wuyinkeji.com + */ + +require('dotenv').config(); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); + +// 配置 +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; +const OUTPUT_DIR = path.join(__dirname, 'output_poc_full'); +const MATERIAL_DIR = path.join(__dirname, '素材/素材/已有的素材'); + +// R2客户端 (保持不变) +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +async function uploadToR2(filePath) { + const fileName = `poc-${Date.now()}-${path.basename(filePath)}`; + const fileBuffer = fs.readFileSync(filePath); + + await r2Client.send(new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME || 'ai-flow', + Key: fileName, + Body: fileBuffer, + ContentType: filePath.endsWith('.png') ? 'image/png' : 'image/jpeg', + })); + + const publicUrl = process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET_NAME}/${fileName}`; + + return publicUrl; +} + +// 核心函数1：视觉分析 (Vision Agent) +async function analyzeProductVisuals(refImageUrls) { + console.log('👁️ 正在进行视觉分析 (Vision Agent)...'); + + const analysisPrompt = ` +You are a professional e-commerce product photographer. +Analyze these reference images of a pet recovery cone collar. +Extract visual characteristics: +1. Material & Texture: (e.g. glossy PU, matte cotton) +2. Structure (Flat): (e.g. Open C-shape, Fan shape) +3. Structure (Worn): (e.g. Cone shape flared OUTWARDS/FORWARD) +4. Key Details: (e.g. logo, binding color) + +Output JSON: { "material": "...", "structure_flat": "...", "structure_worn": "...", "details": "..." } +`; + + try { + // 构造Wuyin Vision请求 + // 注意：根据文档截图，/api/chat/index 支持 image_url 参数 + // 这里我们只传第一张图作为主要参考，或者尝试传多张如果API支持 + // 由于接口文档通常 image_url 是字符串，我们先传最具代表性的图（通常是第一张） + // 如果需要多图分析，可能需要多次调用或拼接 + + // 这里简单起见，我们取一张最清晰的图（假设是第一张或摊平图）进行分析 + const mainRefImage = refImageUrls.find(url => url.includes('5683')) || refImageUrls[0]; + + const response = await axios.post( + `${API_BASE}/chat/index`, + { + key: API_KEY, + model: 'gemini-3-pro', // 明确指定 vision 模型为 gemini-3-pro + content: analysisPrompt, + image_url: mainRefImage + }, + { timeout: 60000 } + ); + + let content = response.data.data?.content || response.data.choices?.[0]?.message?.content; + + if (!content) throw new Error('No content in vision response'); + + content = content.replace(/```json|```/g, '').trim(); + + // 尝试解析JSON，如果失败则用正则提取或兜底 + let analysis; + try { + analysis = JSON.parse(content); + } catch (e) { + console.warn('JSON parse failed, using raw content'); + analysis = { + material: "Smooth waterproof PU, slightly glossy", + structure_flat: "Open C-shape/Fan shape", + structure_worn: "Cone flared upwards/outwards", + details: "Embroidered Touchdog logo" + }; + } + + console.log('✅ 视觉分析完成:', analysis); + return analysis; + + } catch (error) { + console.error('❌ 视觉分析失败:', error.message); + // 兜底描述 + return { + material: "Smooth waterproof PU fabric with a slight sheen", + structure_flat: "Open C-shape (Fan-like) with petal segments", + structure_worn: "Cone shape flared UPWARDS/FORWARD around head", + details: "Embroidered Touchdog logo on right petal" + }; + } +} + +// 生图任务提交 +async function submitImageTask(prompt, refImageUrls, aspectRatio = '1:1') { + try { + // Wuyin API: /api/img/nanoBanana-pro + // 参数: key, prompt, img_url (参考图), aspectRatio + + // 注意：img_url 只能传一张。我们传最相关的一张。 + // 对于场景图，传佩戴图；对于平铺图，传平铺图。 + let refImg = refImageUrls[0]; + if (prompt.includes('flat') && refImageUrls.some(u => u.includes('5683'))) { + refImg = refImageUrls.find(u => u.includes('5683')); // 摊平图 + } else if (refImageUrls.some(u => u.includes('6514'))) { + refImg = refImageUrls.find(u => u.includes('6514')); // 佩戴图 + } + + const payload = { + key: API_KEY, + prompt: prompt, + img_url: refImg, // 传单张参考图强约束 + aspectRatio: aspectRatio, + imageSize: '1K' + }; + + console.log(` 提交任务... (Ref: ${path.basename(refImg || '')})`); + + const response = await axios.post(`${API_BASE}/img/nanoBanana-pro`, payload); + + // 假设返回格式 { code: 200, data: { id: "..." }, msg: "success" } + // 或者直接返回 task_id，需根据实际响应调整 + // 根据截图: 异步任务通常返回 id + + // 这里假设 API 返回包含 task id + const taskId = response.data.data?.id; // 修正: 获取 data.id + + if (!taskId) { + console.error('Submit response:', response.data); + throw new Error('No task ID returned'); + } + + return taskId; + + } catch (error) { + console.error('Submit failed:', error.message); + throw error; + } +} + +// 轮询图片结果 +async function pollImageResult(taskId) { + let attempts = 0; + const maxAttempts = 60; // 60 * 2s = 2 mins + + while (attempts < maxAttempts) { + try { + const response = await axios.get(`${API_BASE}/img/drawDetail`, { + params: { key: API_KEY, id: taskId } + }); + + // 状态判断修正: status 2 是成功 + const data = response.data.data; + + if (data && data.status === 2 && data.image_url) { + return data.image_url; + } else if (data && (data.status === 3 || data.status === 'failed')) { // 假设 3 是失败，或者保留 failed 字符串判断 + throw new Error('Generation failed: ' + (data.fail_reason || 'Unknown')); + } + + console.log(` 状态: ${data.status} (等待中...)`); + + // Still processing + await new Promise(r => setTimeout(r, 2000)); + attempts++; + process.stdout.write('.'); + + } catch (error) { + console.error('Poll error:', error.message); + throw error; // 直接抛出，触发重试 + } + } + throw new Error('Timeout waiting for image'); +} + +// 生成单张图（含重试） +async function generateSingleImage(item, refImageUrls) { + console.log(`\n🎨 生成 ${item.id} (${item.type})...`); + + let retryCount = 0; + const maxRetries = 2; + + while (retryCount <= maxRetries) { + try { + if (retryCount > 0) console.log(` 重试第 ${retryCount} 次...`); + + const taskId = await submitImageTask(item.prompt, refImageUrls, item.aspectRatio); + console.log(` Task ID: ${taskId}`); + + const imageUrl = await pollImageResult(taskId); + console.log(' ✓ 生成成功'); + + // 下载保存 + const imgRes = await axios.get(imageUrl, { responseType: 'arraybuffer' }); + fs.writeFileSync(path.join(OUTPUT_DIR, `${item.id}.jpg`), imgRes.data); + console.log(' ✓ 保存本地'); + return; // 成功退出 + + } catch (error) { + console.error(` ✗ 失败: ${error.message}`); + retryCount++; + await new Promise(r => setTimeout(r, 3000)); + } + } + console.error(` ❌ ${item.id} 最终失败`); +} + +// 主流程 +async function main() { + if (!fs.existsSync(OUTPUT_DIR)) fs.mkdirSync(OUTPUT_DIR, { recursive: true }); + + // 1. 上传 + console.log('📤 Step 1: 上传素材...'); + const files = fs.readdirSync(MATERIAL_DIR).filter(f => /\.(jpg|png)$/i.test(f)); + const refImageUrls = []; + files.sort(); + + for (const file of files) { + if (file.startsWith('.')) continue; + const url = await uploadToR2(path.join(MATERIAL_DIR, file)); + refImageUrls.push(url); + } + console.log(` 共 ${refImageUrls.length} 张`); + + // 2. 视觉分析 + const va = await analyzeProductVisuals(refImageUrls); + // const va = { + // material: "Smooth waterproof PU fabric with a slight glossy sheen", + // structure_flat: "Open C-shape (Fan-like) with petal segments, NOT a closed circle", + // structure_worn: "Cone shape flared UPWARDS/FORWARD around head (megaphone shape)", + // details: "Embroidered Touchdog logo on right petal, teal edge binding" + // }; + + // 3. 定义12张图的Prompt (结合视觉分析) + const prompts = [ + // --- 主图 (1:1) --- + { + id: 'Main_01_Hero', + type: '场景首图', + aspectRatio: '1:1', + prompt: `Amazon main image. Ragdoll cat wearing ${va.material} cone collar. + CRITICAL: Cone opening must face FORWARD/OUTWARDS around the cat's face (like a megaphone), NOT wrapped like a scarf. + Cat is looking comfortable. Warm cozy home background. + Product texture: ${va.material}. Structure: ${va.structure_worn}. + Logo: Touchdog embroidered on right side. High quality, 8k.` + }, + { + id: 'Main_02_Flat', + type: '平铺图', + aspectRatio: '1:1', + prompt: `Product flat lay, white background. + Structure: ${va.structure_flat} (Open C-shape/Fan-like, NOT closed circle). + Texture: ${va.material}, glossy PU sheen. + Details: Velcro strap visible, ${va.details}. Clean studio light.` + }, + { + id: 'Main_03_Function', + type: '功能演示', + aspectRatio: '1:1', + prompt: `Product feature shot. Close-up of the velcro strap adjustment. + Hands adjusting the strap for secure fit. + Show the ${va.material} texture and stitching quality. + Light blue background with text overlay "ADJUSTABLE FIT" (optional).` + }, + { + id: 'Main_04_Scenarios', + type: '场景拼图', + aspectRatio: '1:1', + prompt: `Split screen composition. + Top: Cat eating food easily while wearing the cone (cone facing forward). + Bottom: Cat sleeping comfortably. + Show flexibility and comfort. Soft lighting.` + }, + { + id: 'Main_05_Size', + type: '尺寸图', + aspectRatio: '1:1', + prompt: `Product infographic. The ${va.structure_flat} cone laid flat. + Ruler graphics measuring the depth (24.5cm). + Size chart table on the side: XS, S, M, L, XL. + Professional clean design.` + }, + { + id: 'Main_06_Brand', + type: '品牌汇总', + aspectRatio: '1:1', + prompt: `Brand image. Large Touchdog logo in center. + Product floating in background. + Icons: Feather (Lightweight), Water drop (Waterproof), Cotton (Soft). + High-end branding style.` + }, + // --- A+图 (3:2) --- + { + id: 'APlus_01_Banner', + type: '品牌Banner', + aspectRatio: '3:2', + prompt: `Amazon A+ Banner. Wide shot of modern living room. + White cat wearing the ${va.material} cone walking on rug. + Cone flares outwards correctly. + Text space on left. Warm, inviting atmosphere.` + }, + { + id: 'APlus_02_Comparison', + type: '竞品对比', + aspectRatio: '3:2', + prompt: `Comparison image. Split screen. + Left (Touchdog): Colorful, happy cat wearing soft blue cone. Green Checkmark. + Right (Others): Black and white, sad cat wearing hard plastic transparent cone. Red Cross. + Text: "Soft & Comfy" vs "Hard & Heavy".` + }, + { + id: 'APlus_03_Detail', + type: '材质细节', + aspectRatio: '3:2', + prompt: `Extreme close-up macro shot of the product material. + Show the waterproof PU texture with water droplets beading off. + Show the neat stitching and soft edge binding. + High tech, quality feel.` + }, + { + id: 'APlus_04_Waterproof', + type: '防水测试', + aspectRatio: '3:2', + prompt: `Action shot. Water being poured onto the blue cone collar. + Water repelling instantly, rolling off the surface. + Demonstrates "Easy to Wipe" feature. + Bright lighting.` + }, + { + id: 'APlus_05_Storage', + type: '收纳展示', + aspectRatio: '3:2', + prompt: `Lifestyle shot. The cone collar folded/rolled up compactly. + Placed inside a small travel bag or drawer. + Shows "Easy Storage" feature. + Clean composition.` + }, + { + id: 'APlus_06_Guide', + type: '选购指南', + aspectRatio: '3:2', + prompt: `Sizing guide banner. + Illustration of how to measure cat's neck circumference. + Touchdog branding elements. + Clean, instructional design.` + } + ]; + + // 4. 执行生成 + console.log('\n🚀 开始全量生成 (12张)...'); + for (const item of prompts) { + await generateSingleImage(item, refImageUrls); + } + + console.log('\n✅ POC 完整验证结束。'); +} + +main().catch(console.error); diff --git a/product.md b/product.md new file mode 100644 index 0000000..cd5f455 --- /dev/null +++ b/product.md @@ -0,0 +1,29 @@ +# 伊丽莎白圈产品介绍 +## 核心卖点 +1. **极致轻盈**：仅65g（约1颗鸡蛋重量），云感舒适，不束缚宠物活动，玩耍、进食饮水无压力。 +2. **全面防水易清洁**：外层采用防水PU面料，污渍一擦即净，耐脏防潮，保持项圈干燥卫生。 +3. **舒适亲肤设计**：内层填充PP棉与棉氨纶混纺材质，搭配亲肤罗纹包边，柔软透气；微孔透气结构+加固车线工艺，久戴不闷、揉搓不变形。 +4. **实用结构优势**：加宽视野设计，不遮挡宠物视线；可折叠便携，轻松卷起收纳于宠物急救包；3秒穿脱，可调节粘扣确保稳固贴合。 +5. **高颜值多选择**：推出幻彩系列、马卡龙色系及优雅花朵设计（含蓝爱五、淡草莓、暮霭粉等颜色），兼具美观与实用性。 +6. **强效防护**：加宽围度设计（24.5cm等规格），术后能有效防止宠物舔咬伤口，适用于多种场景防护。 + +## 适用场景 +术后恢复、驱虫护理、指甲修剪、美容护理、伤口治疗、绝育术后防护、皮肤病管理等。 + +## 尺寸规格 +| 尺寸 | 颈围范围（cm/in） | 深度（cm/in） | +|------|-------------------|---------------| +| XS | 14-17/5.5-6.7 | 8/3.1 | +| S | 18-21/7.1-8.3 | 13/5.1 | +| M | 22-26/8.7-10.2 | 12.5/4.9 | +| L | 27-31/10.6-12.2 | 15/5.9 | +| XL | 32-36/12.6-14.2 | 17.5/6.9 | + +## 材质工艺 +- 外层：耐用防水PU面料，防污抗皱 +- 内层：PP棉填充+95%棉+5%氨纶高密罗纹，亲肤吸湿 +- 工艺：加固车线、精密缝线，刺绣品牌标识，质感出众 + +## 品牌优势 +Touchdog创立于2004年，作为宠物美装品类开创者，秉持原创设计理念，整合全球设计资源，20年斩获100余项设计大奖（含PFAAWARDS亚宠2022年度产品设计大奖），专注人宠生活美学产品创作。 + diff --git a/prompt.md b/prompt.md new file mode 100644 index 0000000..49bd8e0 --- /dev/null +++ b/prompt.md @@ -0,0 +1,41 @@ +# Role: 亚马逊高级电商视觉总监 & AI提示词工程师 +# Objective: 根据提供的产品信息和图片需求，编写适用于AI绘画工具（如NanoBanana/Midjourney/Stable Diffusion）的高质量英文提示词（Prompts）。 + +# Guidelines for Prompt Generation (视觉转化规则): +1. **结构化写作**: 每个Prompt必须包含：[主体描述] + [环境/背景] + [光影/氛围] + [构图视角] + [画质修饰词]。 +2. **卖点视觉化**: 不要直接在Prompt里写卖点文字（如"Waterproof"），而是描述表现该卖点的画面（如"Water droplets beading off the surface, hydrophobic effect"）。 +3. **一致性控制**: + - 确保所有图片中的产品必须是参考图中的产品。 + - 主图（Main Images）通常需要纯白背景（White Background）或极简背景。 + - A+图（Lifestyle Images）需要具体的居家或户外场景，具有生活感。 +4. **尺寸适配**: + - 主图 Prompt 末尾添加参数 `--ar 1:1` + - A+图 Prompt 末尾添加参数 `--ar 3:2` (或接近970:600的比例) + +# Output Format (JSON): +请严格按照以下JSON格式返回，不要包含Markdown代码块以外的文字： +```json +[ + { + "id": "Main_01", + "type": "Main Image (1600x1600)", + "purpose": "核心卖点/首图", + "visual_description": "中文描述该图的设计思路（例如：正面特写，展示整体结构）", + "ai_prompt": "English Prompt here, Subject, Action, Context, Lighting, Style, --ar 1:1" + }, + { + "id": "APlus_01", + "type": "A+ Image (970x600)", + "purpose": "适用场景/佩戴演示", + "visual_description": "中文描述...", + "ai_prompt": "English Prompt here... --ar 3:2" + } + // ...以此类推 +] +``` + +# Input Data +## 图片设计要求： +[图片设计要求] +## 产品介绍： +[产品介绍] \ No newline at end of file diff --git a/prompts/brain-system.md b/prompts/brain-system.md new file mode 100644 index 0000000..e69de29 diff --git a/prompts/constraints/brand-vi.md b/prompts/constraints/brand-vi.md new file mode 100644 index 0000000..9507e99 --- /dev/null +++ b/prompts/constraints/brand-vi.md @@ -0,0 +1,145 @@ +# 品牌VI约束模板 + +## 约束级别：P1 + +此约束确保所有图片符合Touchdog品牌视觉识别规范。 + +--- + +## Logo体系 + +### 产品刺绣Logo（出现在产品上） +- **文字**: TOUCHDOG®（大写，带®符号） +- **位置**: 产品右侧花瓣区域（2-3点钟方向） +- **样式**: 刺绣效果，凹陷质感 +- **颜色**: 与产品主色协调的深色调 + +### 电商图片Logo（出现在图片角落） +- **图形**: 红色心形狗狗造型 +- **文字**: touchdog®（全小写，带®符号） +- **标语**: wow pretty（国际版） +- **组合**: 图形 + 文字 + 标语 + +--- + +## Logo颜色适配规则 + +``` +=== BRAND LOGO COLOR ADAPTATION === + +Determine background brightness and apply correct logo color: + +IF background_brightness > 60% (light background): + → Use RED logo (#E60012) + → Red graphic icon + black "touchdog®" text + +IF background_brightness < 50% (dark background): + → Use WHITE logo + → White graphic icon + white "touchdog®" text + +IF background_brightness 50-60% (medium): + → Evaluate contrast and choose accordingly + → Prefer the option with better visibility + +=== END LOGO COLOR ADAPTATION === +``` + +--- + +## 约束模板（自动注入） + +``` +=== BRAND VI REQUIREMENTS === + +EMBROIDERED LOGO ON PRODUCT: +- Text: "TOUCHDOG®" (UPPERCASE) +- Position: Right petal segment, 2-3 o'clock position +- Style: Embroidered, stitched into fabric +- Color: Slightly darker shade of product color + +E-COMMERCE IMAGE BRAND LOGO: +- Position: {{logo_placement.position}} +- Type: {{logo_placement.type}} +- Color: {{logo_placement.color}} + +LOGO SPECIFICATIONS: +- Clear space: Minimum 1/4 of logo height on all sides +- Minimum size: Combined logo ≥ 46px height +- Tagline: "wow pretty" (for international markets) + +PROHIBITED LOGO MODIFICATIONS: +- ❌ NO tilting or rotation +- ❌ NO outlines or strokes +- ❌ NO gradient fills +- ❌ NO drop shadows +- ❌ NO proportion changes (stretching/squishing) +- ❌ NO underlines + +BRAND TYPOGRAPHY: +- Headlines: OPPOsans-Bold or similar clean sans-serif +- Body text: OPPOsans-Medium or similar +- Style: Clean, modern, professional + +BRAND COLOR PALETTE: +- Primary Red: #E60012 +- Text Black: #333333 +- Background suggestions based on product color: + - Ice Blue product → Light blue/white background + - Iridescent product → Warm beige/cream background + - Solid color product → Complementary light background + +=== END BRAND VI REQUIREMENTS === +``` + +--- + +## Logo位置规范 + +### 主图Logo位置 +| 图片类型 | 推荐位置 | 备选位置 | +|----------|----------|----------| +| M1 场景首图 | bottom-right | none（产品上已有Logo） | +| M2 产品平铺 | none | bottom-right | +| M3 功能演示 | bottom-right | none | +| M4 场景四宫格 | bottom-right | none | +| M5 尺寸规格 | bottom-right | none | +| M6 品牌汇总 | center或prominent | - | + +### A+图Logo位置 +| 图片类型 | 推荐位置 | 备选位置 | +|----------|----------|----------| +| A1 品牌Banner | prominent/center | top-left | +| A2 竞品对比 | bottom-right（我方侧） | none | +| A3 卖点三宫格 | bottom-right | none | +| A4 功能四宫格 | bottom-right | none | +| A5 材质工艺 | bottom-right | none | +| A6 尺寸指南 | bottom-right | none | + +--- + +## 违规案例 + +以下Logo使用方式是禁止的： + +1. **倾斜Logo** - 任何角度的旋转都不允许 +2. **描边Logo** - 不能给Logo添加外轮廓 +3. **渐变Logo** - 不能使用渐变色填充 +4. **阴影Logo** - 不能添加投影效果 +5. **变形Logo** - 不能拉伸或压缩比例 +6. **下划线Logo** - 不能在文字下方添加线条 + +--- + +## 验证检查点 + +生成图片后，检查： + +- [ ] 产品上的刺绣Logo是TOUCHDOG®（大写） +- [ ] 电商图片Logo是touchdog®（小写） +- [ ] Logo颜色与背景亮度匹配（浅底红Logo，深底白Logo） +- [ ] Logo周围有足够净空间 +- [ ] Logo没有倾斜、渐变、阴影等违规处理 +- [ ] Logo尺寸不小于46px高度 + + + diff --git a/prompts/constraints/competitor-compliance.md b/prompts/constraints/competitor-compliance.md new file mode 100644 index 0000000..e69de29 diff --git a/prompts/image-templates.js b/prompts/image-templates.js new file mode 100644 index 0000000..8b3fabb --- /dev/null +++ b/prompts/image-templates.js @@ -0,0 +1,459 @@ +/** + * 基于真实交付成品的12张图Prompt模板 + * 每张图都包含文字排版要求 + */ + +// ======================================== +// 主图6张 (1600x1600px, 1:1) +// ======================================== + +const MAIN_TEMPLATES = { + // Main_01: 场景首图 + 卖点 + // 参考: 幻彩主图冰蓝色 (1).jpg + Main_01: (product, sellingPoints) => ` +[AMAZON MAIN IMAGE - LIFESTYLE WITH TEXT OVERLAY] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +SCENE: +- Beautiful cat wearing the product +- Warm, cozy home interior background (soft focus) +- Product clearly visible, 60% of frame +- Cat looks comfortable and relaxed + +TEXT OVERLAY (MUST INCLUDE): +- CENTER-LEFT AREA: Curved banner in muted blue (#8BB8C4) +- TITLE on banner: "DESIGNED FOR COMFORTABLE RECOVERY" in white, clean sans-serif font +- BOTTOM: 3 feature boxes in rounded rectangles with icons + - Box 1: "LIGHTER THAN AN EGG" with egg icon + - Box 2: "WATERPROOF & EASY WIPE" with water droplet icon + - Box 3: "BREATHABLE COTTON LINING" with cloud icon + +STYLE: +- Professional Amazon product photography +- Text is clean, readable, modern sans-serif +- Subtle paw print watermarks in background +- 8K quality, 1:1 aspect ratio +`, + + // Main_02: 白底平铺图 (纯产品，无文字) + Main_02: (product) => ` +[AMAZON MAIN IMAGE - FLAT LAY WHITE BACKGROUND] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +SCENE: +- Product flat lay on PURE WHITE background (#FFFFFF) +- Bird's eye view / top-down angle +- Full C-shaped opening visible +- All petals/segments spread out +- Clean studio lighting, minimal shadows +- Product fills 80% of frame + +NO TEXT OVERLAY ON THIS IMAGE. + +STYLE: +- Clean Amazon product photography +- 8K quality, 1:1 aspect ratio +`, + + // Main_03: 功能特写 + Main_03: (product) => ` +[AMAZON MAIN IMAGE - FEATURE CLOSE-UP] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +SCENE: +- Close-up shot of the product's key feature +- Focus on velcro closure mechanism OR inner lining texture +- Hands may be shown adjusting/demonstrating + +STYLE: +- Macro product photography +- Sharp focus on detail area +- Soft blurred background +- 8K quality, 1:1 aspect ratio +`, + + // Main_04: 多场景使用 (4宫格) + // 参考: 伊丽莎白A+ (4).jpg + Main_04: (product, sellingPoints) => ` +[AMAZON MAIN IMAGE - 4-GRID USAGE SCENARIOS] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +LAYOUT: 2x2 grid of 4 scenes, each with text caption below + +SCENE 1 (TOP-LEFT): Cat wearing product, standing +CAPTION: "• HYGIENIC & EASY TO CLEAN" +SUB-TEXT: "${sellingPoints[0] || 'WATERPROOF OUTER LAYER REPELS STAINS'}" + +SCENE 2 (TOP-RIGHT): Cat eating from bowl while wearing product +CAPTION: "• UNRESTRICTED EATING/DRINKING" +SUB-TEXT: "${sellingPoints[1] || 'SPECIALLY DESIGNED OPENING ALLOWS NATURAL FEEDING'}" + +SCENE 3 (BOTTOM-LEFT): Cat stretching or walking with product +CAPTION: "• REVERSIBLE WEAR (4-IN-1 DESIGN)" +SUB-TEXT: "${sellingPoints[2] || 'FLIP-OVER DESIGN FLEXIBLY ADAPTS TO VARIOUS ACTIVITIES'}" + +SCENE 4 (BOTTOM-RIGHT): Cat sleeping comfortably with product +CAPTION: "• 360° COMFORT" +SUB-TEXT: "${sellingPoints[3] || 'FREE PLAY, SLEEP, AND MOVEMENT WITHOUT PRESSURE'}" + +STYLE: +- Each scene in rounded rectangle frame +- Warm beige background (#F5EDE4) with paw print watermarks +- Text in dark gray, clean sans-serif +- 8K quality, 1:1 aspect ratio +`, + + // Main_05: 尺寸图 + // 参考: 伊丽莎白A+ (6).jpg + Main_05: (product, sizeChart) => ` +[AMAZON MAIN IMAGE - SIZE GUIDE] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +LAYOUT: +- TOP: Title "PRODUCT SIZE" in bold dark font +- CENTER: Product image with dimension arrows + - Arrow pointing to neck opening: "NECK" + - Arrow pointing to outer width: "WIDTH" +- BOTTOM: Size chart table + +SIZE CHART TABLE: +| SIZE | NECK CIRCUMFERENCE | DEPTH | +|------|-------------------|-------| +| XS | ${sizeChart?.XS?.neck || '5.6-6.8IN'} | ${sizeChart?.XS?.depth || '3.2IN'} | +| S | ${sizeChart?.S?.neck || '7.2-8.4IN'} | ${sizeChart?.S?.depth || '4IN'} | +| M | ${sizeChart?.M?.neck || '8.8-10.4IN'} | ${sizeChart?.M?.depth || '5IN'} | +| L | ${sizeChart?.L?.neck || '10.8-12.4IN'} | ${sizeChart?.L?.depth || '6IN'} | +| XL | ${sizeChart?.XL?.neck || '12.8-14.4IN'} | ${sizeChart?.XL?.depth || '7IN'} | + +FOOTER TEXT: "NOTE: MEASUREMENTS ARE HAND-CHECKED. ALWAYS MEASURE YOUR PET'S NECK CIRCUMFERENCE BEFORE SELECTING A SIZE." + +STYLE: +- Clean infographic style +- Warm beige background with paw prints +- Table with rounded corners +- 8K quality, 1:1 aspect ratio +`, + + // Main_06: 多角度展示 + // 参考: 伊丽莎白A+ (5).jpg + Main_06: (product) => ` +[AMAZON MAIN IMAGE - MULTIPLE ANGLES] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +LAYOUT: +- 2 cats wearing the same product, different angles +- Left: Front view, cat facing camera +- Right: 3/4 side view, cat looking to the side +- Decorative curved line connecting the two images + +SCENE: +- Warm home interior background +- Both cats look comfortable +- Product clearly visible on both + +STYLE: +- Lifestyle photography +- Soft warm lighting +- No text overlay +- 8K quality, 1:1 aspect ratio +` +}; + +// ======================================== +// A+图6张 (970x600px, 约1.6:1) +// ======================================== + +const APLUS_TEMPLATES = { + // APlus_01: 品牌横幅 + // 参考: 伊丽莎白A+ (1).jpg + APlus_01: (product, brandName, productName) => ` +[AMAZON A+ BANNER - BRAND HEADER] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +LAYOUT: +- Wide banner, 970x600px aspect ratio +- LEFT 40%: Empty space with decorative paw prints for text overlay +- RIGHT 60%: Cat wearing product in lifestyle scene + +TEXT OVERLAY (LEFT SIDE): +- BRAND NAME: "${brandName || 'TOUCHDOG'}" in playful, slightly curved font (coral/salmon color #E8A87C) +- Decorative paw prints around brand name +- PRODUCT NAME: "${productName || 'CAT SOFT CONE COLLAR'}" below in smaller gray text + +SCENE (RIGHT SIDE): +- White cat standing on modern furniture +- Wearing the product, looking comfortable +- Warm cozy interior background + +STYLE: +- Professional Amazon A+ content +- Warm, inviting color palette +- 8K quality +`, + + // APlus_02: 对比图 + // 参考: 伊丽莎白A+ (2).jpg + APlus_02: (product, sellingPoints, competitorWeaknesses) => ` +[AMAZON A+ COMPARISON IMAGE] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +LAYOUT: Split screen, left vs right + +LEFT SIDE (OUR PRODUCT - COLORFUL): +- GREEN CHECKMARK icon at top-left +- "OUR" label in white on coral/orange background (#E8876C) +- Cat wearing our product, looking HAPPY +- 3 SELLING POINTS in white text: + • "${sellingPoints[0] || 'CLOUD-LIGHT COMFORT'}" + • "${sellingPoints[1] || 'WIDER & CLEARER'}" + • "${sellingPoints[2] || 'FOLDABLE & PORTABLE'}" + +RIGHT SIDE (COMPETITOR - GRAYSCALE): +- RED X-MARK icon at top-right +- "OTHER" label in dark text on gray background +- Cat wearing hard plastic cone, looking SAD/UNCOMFORTABLE +- GRAYSCALE/DESATURATED colors +- 3 WEAKNESSES in gray text: + • "${competitorWeaknesses[0] || 'HEAVY & BULKY'}" + • "${competitorWeaknesses[1] || 'BLOCKS VISION & MOVEMENT'}" + • "${competitorWeaknesses[2] || 'HARD TO STORE'}" + +CENTER: Product image showing our soft cone + +STYLE: +- Clear visual contrast between sides +- Warm beige background with paw prints +- 8K quality, ~1.6:1 aspect ratio +`, + + // APlus_03: 功能细节 + // 参考: 伊丽莎白A+ (3).jpg + APlus_03: (product, features) => ` +[AMAZON A+ FEATURE DETAILS] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +LAYOUT: +- TOP: Large title "ENGINEERED FOR UNCOMPROMISED COMFORT" in bold dark font +- MIDDLE: 3 detail images in rounded rectangles + +DETAIL 1 (LEFT): +- Close-up of inner lining/fabric +- CAPTION: "${features[0]?.title || 'STURDY AND BREATHABLE'}" +- SUB-TEXT: "${features[0]?.desc || ', DURABLE AND COMFORTABLE'}" + +DETAIL 2 (CENTER): +- Dog/cat wearing product with size annotation line +- Show measurement like "24.5cm" +- CAPTION: "${features[1]?.title || 'EASY TO CLEAN, STYLISH'}" +- SUB-TEXT: "${features[1]?.desc || 'AND ATTRACTIVE'}" + +DETAIL 3 (RIGHT): +- Close-up of stitching/material +- CAPTION: "${features[2]?.title || 'REINFORCED STITCHING PROCESS'}" +- SUB-TEXT: "${features[2]?.desc || 'AND DURABLE FABRIC'}" + +STYLE: +- Warm beige background (#F5EDE4) with paw print watermarks +- Text in dark gray/brown +- 8K quality, ~1.6:1 aspect ratio +`, + + // APlus_04: 多场景 (与Main_04类似但横版) + APlus_04: (product, sellingPoints) => ` +[AMAZON A+ MULTI-SCENARIO - HORIZONTAL] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +LAYOUT: 4 scenes in horizontal row + +SCENE 1: Cat standing wearing product +CAPTION: "• HYGIENIC & EASY TO CLEAN" + +SCENE 2: Cat eating from bowl +CAPTION: "• UNRESTRICTED EATING/DRINKING" + +SCENE 3: Cat stretching/playing +CAPTION: "• REVERSIBLE WEAR" + +SCENE 4: Cat sleeping peacefully +CAPTION: "• 360° COMFORT" + +Each scene in rounded rectangle frame with caption below. + +STYLE: +- Warm beige background with paw prints +- Clean modern typography +- 8K quality, ~1.6:1 aspect ratio +`, + + // APlus_05: 多角度展示 + APlus_05: (product) => ` +[AMAZON A+ MULTIPLE ANGLES - HORIZONTAL] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +LAYOUT: +- 2 cats wearing product, side by side +- Left cat: Front view +- Right cat: Side/3/4 view +- Decorative curved divider between them + +SCENE: +- Warm interior background +- Both cats comfortable +- Product clearly visible + +STYLE: +- No text overlay +- Lifestyle photography +- 8K quality, ~1.6:1 aspect ratio +`, + + // APlus_06: 尺寸表 + APlus_06: (product, sizeChart) => ` +[AMAZON A+ SIZE CHART - HORIZONTAL] + +PRODUCT DESCRIPTION: +${product.goldenDescription} + +LAYOUT: +- LEFT 40%: Product image with dimension arrows (NECK, WIDTH labels) +- RIGHT 60%: Size chart table + +TITLE: "PRODUCT SIZE" at top + +SIZE CHART TABLE: +| SIZE | NECK CIRCUMFERENCE | DEPTH | +|------|-------------------|-------| +| XS | ${sizeChart?.XS?.neck || '5.6-6.8IN'} | ${sizeChart?.XS?.depth || '3.2IN'} | +| S | ${sizeChart?.S?.neck || '7.2-8.4IN'} | ${sizeChart?.S?.depth || '4IN'} | +| M | ${sizeChart?.M?.neck || '8.8-10.4IN'} | ${sizeChart?.M?.depth || '5IN'} | +| L | ${sizeChart?.L?.neck || '10.8-12.4IN'} | ${sizeChart?.L?.depth || '6IN'} | +| XL | ${sizeChart?.XL?.neck || '12.8-14.4IN'} | ${sizeChart?.XL?.depth || '7IN'} | + +FOOTER: "NOTE: ALWAYS MEASURE YOUR PET'S NECK BEFORE SELECTING A SIZE" + +STYLE: +- Warm beige background with paw prints +- Clean infographic style +- 8K quality, ~1.6:1 aspect ratio +` +}; + +// ======================================== +// 导出 +// ======================================== + +module.exports = { + MAIN_TEMPLATES, + APLUS_TEMPLATES, + + // 生成所有12张图的Prompts + generateAllPrompts: (product, skuInfo) => { + const prompts = []; + + // 主图6张 + prompts.push({ + id: 'Main_01', + name: '场景首图+卖点', + aspectRatio: '1:1', + prompt: MAIN_TEMPLATES.Main_01(product, skuInfo.sellingPoints || []) + }); + prompts.push({ + id: 'Main_02', + name: '白底平铺图', + aspectRatio: '1:1', + prompt: MAIN_TEMPLATES.Main_02(product) + }); + prompts.push({ + id: 'Main_03', + name: '功能特写', + aspectRatio: '1:1', + prompt: MAIN_TEMPLATES.Main_03(product) + }); + prompts.push({ + id: 'Main_04', + name: '多场景使用', + aspectRatio: '1:1', + prompt: MAIN_TEMPLATES.Main_04(product, skuInfo.sellingPoints || []) + }); + prompts.push({ + id: 'Main_05', + name: '尺寸图', + aspectRatio: '1:1', + prompt: MAIN_TEMPLATES.Main_05(product, skuInfo.sizeChart || {}) + }); + prompts.push({ + id: 'Main_06', + name: '多角度展示', + aspectRatio: '1:1', + prompt: MAIN_TEMPLATES.Main_06(product) + }); + + // A+图6张 + prompts.push({ + id: 'APlus_01', + name: '品牌横幅', + aspectRatio: '3:2', + prompt: APLUS_TEMPLATES.APlus_01(product, skuInfo.brandName, skuInfo.productName) + }); + prompts.push({ + id: 'APlus_02', + name: '对比图', + aspectRatio: '3:2', + prompt: APLUS_TEMPLATES.APlus_02( + product, + skuInfo.sellingPoints || [], + skuInfo.competitorWeaknesses || [] + ) + }); + prompts.push({ + id: 'APlus_03', + name: '功能细节', + aspectRatio: '3:2', + prompt: APLUS_TEMPLATES.APlus_03(product, skuInfo.features || []) + }); + prompts.push({ + id: 'APlus_04', + name: '多场景横版', + aspectRatio: '3:2', + prompt: APLUS_TEMPLATES.APlus_04(product, skuInfo.sellingPoints || []) + }); + prompts.push({ + id: 'APlus_05', + name: '多角度横版', + aspectRatio: '3:2', + prompt: APLUS_TEMPLATES.APlus_05(product) + }); + prompts.push({ + id: 'APlus_06', + name: '尺寸表横版', + aspectRatio: '3:2', + prompt: APLUS_TEMPLATES.APlus_06(product, skuInfo.sizeChart || {}) + }); + + return prompts; + } +}; + + diff --git a/prompts/v6-optimized.md b/prompts/v6-optimized.md new file mode 100644 index 0000000..822f2d3 --- /dev/null +++ b/prompts/v6-optimized.md @@ -0,0 +1,486 @@ +# V6 Optimized Prompts for Amazon Listing + +## Strategy Overview +- **Strategy**: Image Editing (NOT Generation) +- **Core Principle**: Preserve specific elements (product/pet) while modifying background/layout +- **Prompt Structure**: + 1. Reference Analysis + 2. Critical Preservation Requirements + 3. Editing Tasks + 4. Layout Specification + 5. Style Guide + 6. Final Check + +## Main Images (1:1 Square) + +### Main_01: Hero Scene +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: A Ragdoll cat (white/cream fur with light brown markings, blue eyes) wearing an ice-blue soft recovery cone collar (brand: TOUCHDOG). The cat is in a home environment. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. The cat MUST remain a Ragdoll with blue eyes, white/cream fur, brown ear markings - EXACTLY as shown +2. The cone collar MUST remain ice-blue (#B5E5E8), flower/petal shaped, with "TOUCHDOG" branding +3. The cat's pose, expression, and the way the collar sits on the cat +4. The product's texture, stitching pattern, and velcro closure detail + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Enhance background to warm, cozy home interior (fireplace, blanket, wooden furniture) +2. Add soft warm lighting with gentle shadows +3. Add a curved blue banner (#4A7C9B) across middle area with text: "DESIGNED FOR COMFORTABLE RECOVERY" +4. Add 3 white feature boxes at bottom with icons and text: + - Egg icon + "LIGHTER THAN AN EGG" + - Water drop icon + "WATERPROOF & EASY WIPE" + - Cloud icon + "BREATHABLE COTTON LINING" +5. Add subtle paw print watermarks in light blue on the banner area + +LAYOUT SPECIFICATION: + - Top 60%: Cat wearing product in enhanced home scene + - Middle: Curved banner with main tagline + - Bottom 25%: Three feature callout boxes in a row + +STYLE GUIDE: +Professional Amazon main image style. Warm color palette. Text should be crisp and readable. The cat and product should be the clear focal point. + +OUTPUT: 1:1 square ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### Main_02: Flat Lay Detail +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: An ice-blue TOUCHDOG soft pet recovery cone collar in flat lay position on black background. The product has a flower/petal shape with 8 segments, velcro closure on left, and green inner rim. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. The product MUST remain EXACTLY as shown: ice-blue color (#B5E5E8), flower shape, 8 petal segments +2. The TOUCHDOG branding text on the product +3. The velcro strap detail and green/teal inner rim +4. The product's proportions and stitching pattern + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Change background from black to clean white +2. Add a dark green (#2D4A3E) banner at top with text: "DURABLE WATERPROOF PU LAYER" +3. Add 2 circular magnified detail callouts at bottom: + - Left circle: Close-up of outer material texture, label "DURABLE WATERPROOF PU LAYER" + - Right circle: Close-up of inner lining, label "DOUBLE-LAYER COMFORT" +4. Add thin green borders around detail circles +5. Keep layout clean and professional + +LAYOUT SPECIFICATION: + - Top: Dark green banner with title + - Center: Main product image on white background + - Bottom: Two circular detail magnifications with labels + +STYLE GUIDE: +Clean white background product photography. Professional Amazon main image style. High contrast, sharp details. + +OUTPUT: 1:1 square ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### Main_03: Feature Showcase +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: An ice-blue soft pet recovery cone collar (TOUCHDOG brand) shown in flat lay position. The product has a flower/petal shape with 8 segments, velcro closure, and green inner rim. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. The product MUST remain EXACTLY as shown: ice-blue color (#B5E5E8), flower shape, TOUCHDOG branding +2. The velcro strap detail on the left side +3. The green/teal inner rim around the neck hole +4. The 8-petal segmented design with visible stitching + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Place the product on a soft blue background (#6B9AC4) that complements the product color +2. Add title text at top-left: "ADJUSTABLE STRAP FOR A SECURE FIT" in white, bold +3. Add 2 circular detail callout images on the right side: + - Top circle: Close-up of the velcro strap, caption "SECURE THE ADJUSTABLE STRAP" + - Bottom circle: Product being worn by a pet showing fit, caption "ADJUST FOR A SNUG FIT" +4. Add decorative white paw prints scattered in the background +5. Add thin white circular borders around the detail callouts + +LAYOUT SPECIFICATION: + - Left side (60%): Main product image, slightly angled + - Top-left corner: Title text + - Right side (40%): Two stacked circular detail images with captions + - Scattered paw prints as decoration + +STYLE GUIDE: +Clean infographic style. Blue color scheme matching the product. Professional Amazon A+ content quality. High contrast text for readability. + +OUTPUT: 1:1 square ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### Main_04: 4-Scenario Grid +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: A Ragdoll cat (white/cream long fur, light brown markings on ears and face, distinctive blue eyes, pink nose) wearing an ice-blue TOUCHDOG soft recovery cone collar. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. ALL 4 SCENES MUST SHOW THE EXACT SAME CAT: Ragdoll breed, blue eyes, white/cream fur, brown ear markings +2. ALL 4 SCENES MUST SHOW THE EXACT SAME PRODUCT: Ice-blue (#B5E5E8) flower-shaped soft cone, TOUCHDOG brand +3. The cat's fur texture and coloring must be consistent across all 4 images +4. The product's color, shape, and branding must be identical in all 4 scenes + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Create a 2x2 grid layout with 4 scenes, each in a rounded rectangle frame +2. TOP-LEFT scene: Cat standing alert, wearing the cone - Caption: "• HYGIENIC & EASY TO CLEAN" +3. TOP-RIGHT scene: Cat eating/drinking from a bowl while wearing cone - Caption: "• UNRESTRICTED EATING/DRINKING" +4. BOTTOM-LEFT scene: Cat stretching or playing while wearing cone - Caption: "• REVERSIBLE WEAR" +5. BOTTOM-RIGHT scene: Cat sleeping peacefully curled up with cone - Caption: "• 360° COMFORT" +6. Add light paw print watermarks in corners of the overall image + +LAYOUT SPECIFICATION: + - Background: Warm beige/cream (#F5EBE0) + - 2x2 grid of equal-sized rounded rectangles + - Each scene has the same cat in different poses + - Caption text below each scene in brown (#8B7355) + - Subtle paw prints in corners + +STYLE GUIDE: + Lifestyle photography style. Warm, inviting colors. + The cat should look comfortable and happy in all scenes. + Consistent lighting across all 4 scenes. + CRITICAL: The cat must be recognizably the SAME individual cat in all scenes. + +OUTPUT: 1:1 square ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### Main_05: Size Chart +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: An ice-blue TOUCHDOG soft pet recovery cone collar in flat lay position, showing its flower/petal shape design. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. The product MUST remain EXACTLY as shown: ice-blue color, flower shape, TOUCHDOG branding +2. The product's proportions and shape +3. The velcro closure and inner rim details + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Place product on warm beige background (#F5EDE4) +2. Add title "PRODUCT SIZE" at top center in dark text +3. Add a size chart table below the product with columns: SIZE | NECK | DEPTH +4. Table data: + XS: 5.6-6.8IN | 3.2IN + S: 7.2-8.4IN | 4IN + M: 8.8-10.4IN | 5IN + L: 10.8-12.4IN | 6IN + XL: 12.8-14.4IN | 7IN +5. Add note in coral/salmon color: "NOTE: ALWAYS MEASURE YOUR PET'S NECK BEFORE SELECTING A SIZE" +6. Add subtle paw print decorations in beige tones + +LAYOUT SPECIFICATION: + - Top: Title + - Center: Product image (main focus) + - Bottom: Size chart table with clean design + +STYLE GUIDE: +Clean, informative infographic style. Easy to read table. Warm neutral background. Professional Amazon listing quality. + +OUTPUT: 1:1 square ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### Main_06: Multi-Angle +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: A Ragdoll cat (white/cream fur, brown ear markings, blue eyes) wearing an ice-blue TOUCHDOG soft recovery cone collar. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. The cat MUST remain a Ragdoll: blue eyes, white/cream fur, brown markings +2. The product MUST remain ice-blue (#B5E5E8), flower-shaped, TOUCHDOG branded +3. Both views must show the EXACT SAME cat and product + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Create a split image with curved decorative divider in the middle +2. LEFT SIDE: Front view of cat wearing the cone (from reference) +3. RIGHT SIDE: Side/profile view of the same cat wearing the same cone +4. Warm home interior background in both halves +5. NO text overlays - pure lifestyle imagery + +LAYOUT SPECIFICATION: + - Split layout with elegant curved divider + - Left: Front view + - Right: Side view + - Consistent warm lighting across both + +STYLE GUIDE: +Lifestyle photography. Warm, cozy atmosphere. The cat should look comfortable. NO text. + +OUTPUT: 1:1 square ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +## A+ Images (3:2 Landscape) + +### APlus_01: Brand Banner +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: A Ragdoll cat wearing an ice-blue TOUCHDOG soft recovery cone collar in a home setting. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. The cat MUST remain a Ragdoll with blue eyes and white/cream fur +2. The product MUST remain ice-blue, flower-shaped, TOUCHDOG branded + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Create a horizontal banner layout (3:2 ratio) +2. LEFT 40%: Brand text area with: + - "TOUCHDOG" in playful coral/salmon color (#E8A87C) + - Small paw print icons around the brand name + - "CAT SOFT CONE COLLAR" below in gray +3. RIGHT 60%: The cat wearing the product in a warm home setting +4. Soft, warm color palette throughout + +LAYOUT SPECIFICATION: + - Left side: Brand name and product title + - Right side: Hero image of cat with product + - Warm, cohesive color scheme + +STYLE GUIDE: +Amazon A+ brand story style. Warm and inviting. Professional yet friendly. + +OUTPUT: 3:2 landscape ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### APlus_02: Comparison Chart +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: A Ragdoll cat wearing an ice-blue TOUCHDOG soft recovery cone collar. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. LEFT SIDE: The cat and product MUST match the reference - Ragdoll cat, ice-blue soft cone +2. The product color (#B5E5E8), flower shape, and TOUCHDOG branding on left side + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Create a side-by-side comparison layout +2. LEFT SIDE (60% width, colorful): + - Happy Ragdoll cat wearing our ice-blue soft cone (from reference) + - Green checkmark icon + - "OUR" label on coral/orange banner + - 3 benefits in white: "CLOUD-LIGHT COMFORT", "WIDER & CLEARER", "FOLDABLE & PORTABLE" +3. RIGHT SIDE (40% width, grayscale): + - Sad-looking cat wearing a DIFFERENT product: hard plastic transparent cone (traditional e-collar) + - Red X icon + - "OTHER" label on gray banner + - 3 drawbacks in gray: "HEAVY & BULKY", "BLOCKS VISION & MOVEMENT", "HARD TO STORE" +4. Warm beige background with paw print watermarks + +LAYOUT SPECIFICATION: + - Split layout with curved divider + - Left side larger, full color, positive mood + - Right side smaller, desaturated, negative mood + - Text overlays on each side + +STYLE GUIDE: + Clear visual contrast between "us" and "them". + Left side warm and inviting, right side cold and uncomfortable. + IMPORTANT: Right side must show a DIFFERENT type of cone (hard plastic), not our product. + +OUTPUT: 3:2 landscape ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### APlus_03: Feature Details +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: A Ragdoll cat wearing an ice-blue TOUCHDOG soft recovery cone collar. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. The cat MUST remain a Ragdoll with blue eyes +2. The product MUST remain ice-blue, flower-shaped, TOUCHDOG branded + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Create horizontal layout (3:2) with title and 3 detail panels +2. Title at top: "ENGINEERED FOR UNCOMPROMISED COMFORT" in dark text +3. 3 detail images in a row below: + - Panel 1: Close-up of inner cotton lining texture, caption "STURDY AND BREATHABLE" + - Panel 2: Cat wearing the product looking comfortable, caption "EASY TO CLEAN, STYLISH" + - Panel 3: Close-up of stitching detail, caption "REINFORCED STITCHING" +4. Warm beige background (#F5EBE0) with subtle paw prints + +LAYOUT SPECIFICATION: + - Top: Title banner + - Bottom: Three equal-width panels with captions + +STYLE GUIDE: +Amazon A+ feature module style. Clean, informative. Warm color palette. + +OUTPUT: 3:2 landscape ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### APlus_04: 4-Scene Horizontal +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: A Ragdoll cat (white/cream fur, blue eyes, brown ear markings) wearing an ice-blue TOUCHDOG soft recovery cone collar. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. ALL 4 SCENES MUST SHOW THE EXACT SAME CAT: Ragdoll breed, blue eyes, white/cream fur +2. ALL 4 SCENES MUST SHOW THE EXACT SAME PRODUCT: Ice-blue flower-shaped soft cone +3. Consistent cat appearance and product across all panels + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Create horizontal layout (3:2) with 4 scenes in a row +2. Scene 1: Cat standing - "HYGIENIC & EASY TO CLEAN" +3. Scene 2: Cat eating from bowl - "UNRESTRICTED EATING" +4. Scene 3: Cat playing/stretching - "REVERSIBLE WEAR" +5. Scene 4: Cat sleeping curled up - "360° COMFORT" +6. Each scene in a rounded rectangle frame +7. Warm beige background with paw print decorations + +LAYOUT SPECIFICATION: + - 4 equal panels arranged horizontally + - Each panel has image + caption below + - Consistent warm lighting across all + +STYLE GUIDE: +Lifestyle photography. Same cat in all scenes. Warm, cozy feel. + +OUTPUT: 3:2 landscape ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### APlus_05: Multi-Angle Horizontal +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: A Ragdoll cat wearing an ice-blue TOUCHDOG soft recovery cone collar. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. Both views must show the SAME Ragdoll cat with blue eyes +2. Both views must show the SAME ice-blue TOUCHDOG cone + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Create horizontal split layout (3:2) +2. LEFT: Front view of cat wearing cone +3. RIGHT: Side/profile view of same cat with cone +4. Elegant curved divider between the two views +5. Warm home background in both +6. NO text - pure visual showcase + +LAYOUT SPECIFICATION: + - Two equal halves with curved divider + - Left: Front angle + - Right: Side angle + - Warm consistent lighting + +STYLE GUIDE: +High-end lifestyle photography. No text. Warm atmosphere. + +OUTPUT: 3:2 landscape ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + +### APlus_06: Size Chart Horizontal (Corrected) +```text +[IMAGE EDITING TASK - NOT GENERATION] + +REFERENCE IMAGE ANALYSIS: +The reference image shows: An ice-blue TOUCHDOG soft pet recovery cone collar in flat lay position. +CRITICAL SHAPE DETAIL: The product has a C-SHAPED OPENING (not a closed circle) - there is a GAP on the left side where the velcro strap attaches. This opening allows the collar to wrap around the pet's neck. + +CRITICAL PRESERVATION REQUIREMENTS (DO NOT MODIFY): +1. The product MUST keep its C-SHAPED OPENING - DO NOT close the gap into a full circle +2. The velcro strap visible on the left side of the opening +3. Ice-blue color (#B5E5E8), flower/petal shape with 8 segments +4. TOUCHDOG brand text on the product +5. Green/teal inner rim around the neck hole + +EDITING TASKS (ONLY THESE CHANGES ARE ALLOWED): +1. Change background from black to warm beige (#F5EDE4) +2. Add title "PRODUCT SIZE" at top center in dark text +3. Add dimension labels: "NECK" pointing to inner circle, "DEPTH" pointing outward +4. Add size chart table on the right: + SIZE | NECK | DEPTH + XS | 5.6-6.8IN | 3.2IN + S | 7.2-8.4IN | 4IN + M | 8.8-10.4IN | 5IN + L | 10.8-12.4IN | 6IN + XL | 12.8-14.4IN | 7IN +5. Add note in coral: "ALWAYS MEASURE YOUR PET'S NECK BEFORE SELECTING A SIZE" +6. Add subtle paw print watermarks + +LAYOUT SPECIFICATION: + - Left 45%: Product image maintaining C-shape opening + - Right 55%: Size chart table + - Top: Title + - Bottom: Note text + +STYLE GUIDE: +Clean infographic style. The product's C-shaped opening must be clearly visible - this is a key feature showing how it wraps around the neck. + +OUTPUT: 3:2 landscape ratio, professional Amazon listing quality + +FINAL CHECK: Before output, verify that the pet and product in the result match the reference image EXACTLY in: +- Species, breed, fur color and pattern +- Product color (#B5E5E8 ice blue), shape (flower/petal cone), brand text "TOUCHDOG" +- Pose and positioning relative to original +``` + diff --git a/public/css/bootstrap-icons.css b/public/css/bootstrap-icons.css new file mode 100644 index 0000000..ae1be21 --- /dev/null +++ b/public/css/bootstrap-icons.css @@ -0,0 +1,2018 @@ +@font-face { + font-display: block; + font-family: "bootstrap-icons"; + src: url("../fonts/bootstrap-icons.woff2?2ab2cbbe07fcebb53bdaa7313bb290f2") format("woff2"), +url("../fonts/bootstrap-icons.woff?2ab2cbbe07fcebb53bdaa7313bb290f2") format("woff"); +} + +.bi::before, +[class^="bi-"]::before, +[class*=" bi-"]::before { + 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var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion:reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 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"/")}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x:0.75rem;--bs-pagination-padding-y:0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color:var(--bs-link-color);--bs-pagination-bg:var(--bs-body-bg);--bs-pagination-border-width:var(--bs-border-width);--bs-pagination-border-color:var(--bs-border-color);--bs-pagination-border-radius:var(--bs-border-radius);--bs-pagination-hover-color:var(--bs-link-hover-color);--bs-pagination-hover-bg:var(--bs-tertiary-bg);--bs-pagination-hover-border-color:var(--bs-border-color);--bs-pagination-focus-color:var(--bs-link-hover-color);--bs-pagination-focus-bg:var(--bs-secondary-bg);--bs-pagination-focus-box-shadow:0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-pagination-active-color:#fff;--bs-pagination-active-bg:#0d6efd;--bs-pagination-active-border-color:#0d6efd;--bs-pagination-disabled-color:var(--bs-secondary-color);--bs-pagination-disabled-bg:var(--bs-secondary-bg);--bs-pagination-disabled-border-color:var(--bs-border-color);display:flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media (prefers-reduced-motion:reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.active>.page-link,.page-link.active{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.disabled>.page-link,.page-link.disabled{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x:1.5rem;--bs-pagination-padding-y:0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius:var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x:0.5rem;--bs-pagination-padding-y:0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius:var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x:0.65em;--bs-badge-padding-y:0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight:700;--bs-badge-color:#fff;--bs-badge-border-radius:var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg:transparent;--bs-alert-padding-x:1rem;--bs-alert-padding-y:1rem;--bs-alert-margin-bottom:1rem;--bs-alert-color:inherit;--bs-alert-border-color:transparent;--bs-alert-border:var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius:var(--bs-border-radius);--bs-alert-link-color:inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-primary{--bs-alert-color:var(--bs-primary-text-emphasis);--bs-alert-bg:var(--bs-primary-bg-subtle);--bs-alert-border-color:var(--bs-primary-border-subtle);--bs-alert-link-color:var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color:var(--bs-secondary-text-emphasis);--bs-alert-bg:var(--bs-secondary-bg-subtle);--bs-alert-border-color:var(--bs-secondary-border-subtle);--bs-alert-link-color:var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color:var(--bs-success-text-emphasis);--bs-alert-bg:var(--bs-success-bg-subtle);--bs-alert-border-color:var(--bs-success-border-subtle);--bs-alert-link-color:var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color:var(--bs-info-text-emphasis);--bs-alert-bg:var(--bs-info-bg-subtle);--bs-alert-border-color:var(--bs-info-border-subtle);--bs-alert-link-color:var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color:var(--bs-warning-text-emphasis);--bs-alert-bg:var(--bs-warning-bg-subtle);--bs-alert-border-color:var(--bs-warning-border-subtle);--bs-alert-link-color:var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color:var(--bs-danger-text-emphasis);--bs-alert-bg:var(--bs-danger-bg-subtle);--bs-alert-border-color:var(--bs-danger-border-subtle);--bs-alert-link-color:var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color:var(--bs-light-text-emphasis);--bs-alert-bg:var(--bs-light-bg-subtle);--bs-alert-border-color:var(--bs-light-border-subtle);--bs-alert-link-color:var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color:var(--bs-dark-text-emphasis);--bs-alert-bg:var(--bs-dark-bg-subtle);--bs-alert-border-color:var(--bs-dark-border-subtle);--bs-alert-link-color:var(--bs-dark-text-emphasis)}@keyframes 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(prefers-reduced-motion:reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color:var(--bs-body-color);--bs-list-group-bg:var(--bs-body-bg);--bs-list-group-border-color:var(--bs-border-color);--bs-list-group-border-width:var(--bs-border-width);--bs-list-group-border-radius:var(--bs-border-radius);--bs-list-group-item-padding-x:1rem;--bs-list-group-item-padding-y:0.5rem;--bs-list-group-action-color:var(--bs-secondary-color);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-tertiary-bg);--bs-list-group-action-active-color:var(--bs-body-color);--bs-list-group-action-active-bg:var(--bs-secondary-bg);--bs-list-group-disabled-color:var(--bs-secondary-color);--bs-list-group-disabled-bg:var(--bs-body-bg);--bs-list-group-active-color:#fff;--bs-list-group-active-bg:#0d6efd;--bs-list-group-active-border-color:#0d6efd;display:flex;flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:focus,.list-group-item-action:hover{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width:576px){.list-group-horizontal-sm{flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width:768px){.list-group-horizontal-md{flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width:992px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width:1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width:1400px){.list-group-horizontal-xxl{flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color:var(--bs-primary-text-emphasis);--bs-list-group-bg:var(--bs-primary-bg-subtle);--bs-list-group-border-color:var(--bs-primary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-primary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-primary-border-subtle);--bs-list-group-active-color:var(--bs-primary-bg-subtle);--bs-list-group-active-bg:var(--bs-primary-text-emphasis);--bs-list-group-active-border-color:var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color:var(--bs-secondary-text-emphasis);--bs-list-group-bg:var(--bs-secondary-bg-subtle);--bs-list-group-border-color:var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-secondary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-secondary-border-subtle);--bs-list-group-active-color:var(--bs-secondary-bg-subtle);--bs-list-group-active-bg:var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color:var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color:var(--bs-success-text-emphasis);--bs-list-group-bg:var(--bs-success-bg-subtle);--bs-list-group-border-color:var(--bs-success-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-success-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-success-border-subtle);--bs-list-group-active-color:var(--bs-success-bg-subtle);--bs-list-group-active-bg:var(--bs-success-text-emphasis);--bs-list-group-active-border-color:var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color:var(--bs-info-text-emphasis);--bs-list-group-bg:var(--bs-info-bg-subtle);--bs-list-group-border-color:var(--bs-info-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-info-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-info-border-subtle);--bs-list-group-active-color:var(--bs-info-bg-subtle);--bs-list-group-active-bg:var(--bs-info-text-emphasis);--bs-list-group-active-border-color:var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color:var(--bs-warning-text-emphasis);--bs-list-group-bg:var(--bs-warning-bg-subtle);--bs-list-group-border-color:var(--bs-warning-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-warning-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-warning-border-subtle);--bs-list-group-active-color:var(--bs-warning-bg-subtle);--bs-list-group-active-bg:var(--bs-warning-text-emphasis);--bs-list-group-active-border-color:var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color:var(--bs-danger-text-emphasis);--bs-list-group-bg:var(--bs-danger-bg-subtle);--bs-list-group-border-color:var(--bs-danger-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-danger-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-danger-border-subtle);--bs-list-group-active-color:var(--bs-danger-bg-subtle);--bs-list-group-active-bg:var(--bs-danger-text-emphasis);--bs-list-group-active-border-color:var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color:var(--bs-light-text-emphasis);--bs-list-group-bg:var(--bs-light-bg-subtle);--bs-list-group-border-color:var(--bs-light-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-light-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-light-border-subtle);--bs-list-group-active-color:var(--bs-light-bg-subtle);--bs-list-group-active-bg:var(--bs-light-text-emphasis);--bs-list-group-active-border-color:var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color:var(--bs-dark-text-emphasis);--bs-list-group-bg:var(--bs-dark-bg-subtle);--bs-list-group-border-color:var(--bs-dark-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-dark-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-dark-border-subtle);--bs-list-group-active-color:var(--bs-dark-bg-subtle);--bs-list-group-active-bg:var(--bs-dark-text-emphasis);--bs-list-group-active-border-color:var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color:#000;--bs-btn-close-bg:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity:0.5;--bs-btn-close-hover-opacity:0.75;--bs-btn-close-focus-shadow:0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-btn-close-focus-opacity:1;--bs-btn-close-disabled-opacity:0.25;--bs-btn-close-white-filter:invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close.disabled,.btn-close:disabled{pointer-events:none;-webkit-user-select:none;-moz-user-select:none;user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex:1090;--bs-toast-padding-x:0.75rem;--bs-toast-padding-y:0.5rem;--bs-toast-spacing:1.5rem;--bs-toast-max-width:350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg:rgba(var(--bs-body-bg-rgb), 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0%}}.clearfix::after{display:block;clear:both;content:""}.text-bg-primary{color:#fff!important;background-color:RGBA(13,110,253,var(--bs-bg-opacity,1))!important}.text-bg-secondary{color:#fff!important;background-color:RGBA(108,117,125,var(--bs-bg-opacity,1))!important}.text-bg-success{color:#fff!important;background-color:RGBA(25,135,84,var(--bs-bg-opacity,1))!important}.text-bg-info{color:#000!important;background-color:RGBA(13,202,240,var(--bs-bg-opacity,1))!important}.text-bg-warning{color:#000!important;background-color:RGBA(255,193,7,var(--bs-bg-opacity,1))!important}.text-bg-danger{color:#fff!important;background-color:RGBA(220,53,69,var(--bs-bg-opacity,1))!important}.text-bg-light{color:#000!important;background-color:RGBA(248,249,250,var(--bs-bg-opacity,1))!important}.text-bg-dark{color:#fff!important;background-color:RGBA(33,37,41,var(--bs-bg-opacity,1))!important}.link-primary{color:RGBA(var(--bs-primary-rgb),var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(var(--bs-primary-rgb),var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(var(--bs-primary-rgb),var(--bs-link-underline-opacity,1))!important}.link-primary:focus,.link-primary:hover{color:RGBA(10,88,202,var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(10,88,202,var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(10,88,202,var(--bs-link-underline-opacity,1))!important}.link-secondary{color:RGBA(var(--bs-secondary-rgb),var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(var(--bs-secondary-rgb),var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(var(--bs-secondary-rgb),var(--bs-link-underline-opacity,1))!important}.link-secondary:focus,.link-secondary:hover{color:RGBA(86,94,100,var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(86,94,100,var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(86,94,100,var(--bs-link-underline-opacity,1))!important}.link-success{color:RGBA(var(--bs-success-rgb),var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(var(--bs-success-rgb),var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(var(--bs-success-rgb),var(--bs-link-underline-opacity,1))!important}.link-success:focus,.link-success:hover{color:RGBA(20,108,67,var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(20,108,67,var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(20,108,67,var(--bs-link-underline-opacity,1))!important}.link-info{color:RGBA(var(--bs-info-rgb),var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(var(--bs-info-rgb),var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(var(--bs-info-rgb),var(--bs-link-underline-opacity,1))!important}.link-info:focus,.link-info:hover{color:RGBA(61,213,243,var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(61,213,243,var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(61,213,243,var(--bs-link-underline-opacity,1))!important}.link-warning{color:RGBA(var(--bs-warning-rgb),var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(var(--bs-warning-rgb),var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(var(--bs-warning-rgb),var(--bs-link-underline-opacity,1))!important}.link-warning:focus,.link-warning:hover{color:RGBA(255,205,57,var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(255,205,57,var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(255,205,57,var(--bs-link-underline-opacity,1))!important}.link-danger{color:RGBA(var(--bs-danger-rgb),var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(var(--bs-danger-rgb),var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(var(--bs-danger-rgb),var(--bs-link-underline-opacity,1))!important}.link-danger:focus,.link-danger:hover{color:RGBA(176,42,55,var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(176,42,55,var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(176,42,55,var(--bs-link-underline-opacity,1))!important}.link-light{color:RGBA(var(--bs-light-rgb),var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(var(--bs-light-rgb),var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(var(--bs-light-rgb),var(--bs-link-underline-opacity,1))!important}.link-light:focus,.link-light:hover{color:RGBA(249,250,251,var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(249,250,251,var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(249,250,251,var(--bs-link-underline-opacity,1))!important}.link-dark{color:RGBA(var(--bs-dark-rgb),var(--bs-link-opacity,1))!important;-webkit-text-decoration-color:RGBA(var(--bs-dark-rgb),var(--bs-link-underline-opacity,1))!important;text-decoration-color:RGBA(var(--bs-dark-rgb),var(--bs-link-underline-opacity,1))!im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b/public/fonts/bootstrap-icons.woff2 new file mode 100644 index 0000000..52b1253 Binary files /dev/null and b/public/fonts/bootstrap-icons.woff2 differ diff --git a/public/index.html b/public/index.html new file mode 100644 index 0000000..2faddda --- /dev/null +++ b/public/index.html @@ -0,0 +1,845 @@ + + + + + + Touchdog AI 智能电商出图系统 + + + + + +
+ +
+
+
+ +

输入SKU数据 → Brain智能规划 → 自动生成12张专业电商图

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+
+
+ Gemini 3 Pro Image +
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+
+
+ + + + +
+ +
+
+ +
+
+
+ 1 + 输入SKU数据 +
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+
+
+ + +
+ +
+ +
+ +
+ 在SKU JSON中设置 ref_images 字段 +
+ + +
+
+ + + +
+ + +
+
+
+
+ 3 + 生成结果 + 0/12 +
+ +
+
+ + +
+
+ +

输入SKU数据后点击"开始智能生图"

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+
+
+
+
+
+
+ + +
+
+
+ 1 + 素材与需求录入 +
+ +
+
+ +
+ +

点击或拖拽上传图片

+ +
+
+ +
+ +
+
+ + +
+
+ + +
+
+
+ +
+ +
+ 2 + 生成提示词 +
+ + + +
+ +
+ 3 + 生成图片 +
+
+ + +
+
+
+
+ + +
+
+
+ 生成历史 + +
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+ + + + + +
+ + + + + + diff --git a/public/js/axios.min.js b/public/js/axios.min.js new file mode 100644 index 0000000..2b482fa --- /dev/null +++ b/public/js/axios.min.js @@ -0,0 +1,3 @@ +/*! 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e=this._getDimension();this._element.classList.remove(lt),this._element.classList.add(ct),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(ct),this._element.classList.add(lt,at),this._element.style[e]="",P.trigger(this._element,"shown.bs.collapse")}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(P.trigger(this._element,"hide.bs.collapse").defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,d(this._element),this._element.classList.add(ct),this._element.classList.remove(lt,at);for(const t of this._triggerArray){const 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Object.keys(f).sort((function(t,e){return f[t]-f[e]}))}const Se={name:"flip",enabled:!0,phase:"main",fn:function(t){var e=t.state,i=t.options,n=t.name;if(!e.modifiersData[n]._skip){for(var s=i.mainAxis,o=void 0===s||s,r=i.altAxis,a=void 0===r||r,l=i.fallbackPlacements,c=i.padding,h=i.boundary,d=i.rootBoundary,u=i.altBoundary,f=i.flipVariations,p=void 0===f||f,m=i.allowedAutoPlacements,g=e.options.placement,_=qt(g),b=l||(_!==g&&p?function(t){if(qt(t)===bt)return[];var e=_e(t);return[ve(t),e,ve(e)]}(g):[_e(g)]),v=[g].concat(b).reduce((function(t,i){return t.concat(qt(i)===bt?Le(e,{placement:i,boundary:h,rootBoundary:d,padding:c,flipVariations:p,allowedAutoPlacements:m}):i)}),[]),y=e.rects.reference,w=e.rects.popper,A=new Map,E=!0,T=v[0],C=0;C=0,S=L?"width":"height",D=ke(e,{placement:O,boundary:h,rootBoundary:d,altBoundary:u,padding:c}),I=L?k?gt:_t:k?mt:pt;y[S]>w[S]&&(I=_e(I));var N=_e(I),P=[];if(o&&P.push(D[x]<=0),a&&P.push(D[I]<=0,D[N]<=0),P.every((function(t){return t}))){T=O,E=!1;break}A.set(O,P)}if(E)for(var M=function(t){var e=v.find((function(e){var i=A.get(e);if(i)return i.slice(0,t).every((function(t){return t}))}));if(e)return T=e,"break"},j=p?3:1;j>0&&"break"!==M(j);j--);e.placement!==T&&(e.modifiersData[n]._skip=!0,e.placement=T,e.reset=!0)}},requiresIfExists:["offset"],data:{_skip:!1}};function De(t,e,i){return void 0===i&&(i={x:0,y:0}),{top:t.top-e.height-i.y,right:t.right-e.width+i.x,bottom:t.bottom-e.height+i.y,left:t.left-e.width-i.x}}function Ie(t){return[pt,gt,mt,_t].some((function(e){return t[e]>=0}))}const Ne={name:"hide",enabled:!0,phase:"main",requiresIfExists:["preventOverflow"],fn:function(t){var e=t.state,i=t.name,n=e.rects.reference,s=e.rects.popper,o=e.modifiersData.preventOverflow,r=ke(e,{elementContext:"reference"}),a=ke(e,{altBoundary:!0}),l=De(r,n),c=De(a,s,o),h=Ie(l),d=Ie(c);e.modifiersData[i]={referenceClippingOffsets:l,popperEscapeOffsets:c,isReferenceHidden:h,hasPopperEscaped:d},e.attributes.popper=Object.assign({},e.attributes.popper,{"data-popper-reference-hidden":h,"data-popper-escaped":d})}},Pe={name:"offset",enabled:!0,phase:"main",requires:["popperOffsets"],fn:function(t){var e=t.state,i=t.options,n=t.name,s=i.offset,o=void 0===s?[0,0]:s,r=xt.reduce((function(t,i){return t[i]=function(t,e,i){var n=qt(t),s=[_t,pt].indexOf(n)>=0?-1:1,o="function"==typeof i?i(Object.assign({},e,{placement:t})):i,r=o[0],a=o[1];return r=r||0,a=(a||0)*s,[_t,gt].indexOf(n)>=0?{x:a,y:r}:{x:r,y:a}}(i,e.rects,o),t}),{}),a=r[e.placement],l=a.x,c=a.y;null!=e.modifiersData.popperOffsets&&(e.modifiersData.popperOffsets.x+=l,e.modifiersData.popperOffsets.y+=c),e.modifiersData[n]=r}},Me={name:"popperOffsets",enabled:!0,phase:"read",fn:function(t){var e=t.state,i=t.name;e.modifiersData[i]=xe({reference:e.rects.reference,element:e.rects.popper,strategy:"absolute",placement:e.placement})},data:{}},je={name:"preventOverflow",enabled:!0,phase:"main",fn:function(t){var e=t.state,i=t.options,n=t.name,s=i.mainAxis,o=void 0===s||s,r=i.altAxis,a=void 0!==r&&r,l=i.boundary,c=i.rootBoundary,h=i.altBoundary,d=i.padding,u=i.tether,f=void 0===u||u,p=i.tetherOffset,m=void 0===p?0:p,g=ke(e,{boundary:l,rootBoundary:c,padding:d,altBoundary:h}),_=qt(e.placement),b=he(e.placement),v=!b,y=oe(_),w="x"===y?"y":"x",A=e.modifiersData.popperOffsets,E=e.rects.reference,T=e.rects.popper,C="function"==typeof m?m(Object.assign({},e.rects,{placement:e.placement})):m,O="number"==typeof C?{mainAxis:C,altAxis:C}:Object.assign({mainAxis:0,altAxis:0},C),x=e.modifiersData.offset?e.modifiersData.offset[e.placement]:null,k={x:0,y:0};if(A){if(o){var L,S="y"===y?pt:_t,D="y"===y?mt:gt,I="y"===y?"height":"width",N=A[y],P=N+g[S],M=N-g[D],j=f?-T[I]/2:0,F=b===yt?E[I]:T[I],H=b===yt?-T[I]:-E[I],$=e.elements.arrow,W=f&&$?Gt($):{width:0,height:0},B=e.modifiersData["arrow#persistent"]?e.modifiersData["arrow#persistent"].padding:{top:0,right:0,bottom:0,left:0},z=B[S],R=B[D],q=re(0,E[I],W[I]),V=v?E[I]/2-j-q-z-O.mainAxis:F-q-z-O.mainAxis,K=v?-E[I]/2+j+q+R+O.mainAxis:H+q+R+O.mainAxis,Q=e.elements.arrow&&se(e.elements.arrow),X=Q?"y"===y?Q.clientTop||0:Q.clientLeft||0:0,Y=null!=(L=null==x?void 0:x[y])?L:0,U=N+K-Y,G=re(f?Kt(P,N+V-Y-X):P,N,f?Vt(M,U):M);A[y]=G,k[y]=G-N}if(a){var J,Z="x"===y?pt:_t,tt="x"===y?mt:gt,et=A[w],it="y"===w?"height":"width",nt=et+g[Z],st=et-g[tt],ot=-1!==[pt,_t].indexOf(_),rt=null!=(J=null==x?void 0:x[w])?J:0,at=ot?nt:et-E[it]-T[it]-rt+O.altAxis,lt=ot?et+E[it]+T[it]-rt-O.altAxis:st,ct=f&&ot?function(t,e,i){var n=re(t,e,i);return n>i?i:n}(at,et,lt):re(f?at:nt,et,f?lt:st);A[w]=ct,k[w]=ct-et}e.modifiersData[n]=k}},requiresIfExists:["offset"]};function Fe(t,e,i){void 0===i&&(i=!1);var n,s,o=Bt(e),r=Bt(e)&&function(t){var e=t.getBoundingClientRect(),i=Qt(e.width)/t.offsetWidth||1,n=Qt(e.height)/t.offsetHeight||1;return 1!==i||1!==n}(e),a=ee(e),l=Ut(t,r,i),c={scrollLeft:0,scrollTop:0},h={x:0,y:0};return(o||!o&&!i)&&(("body"!==Ht(e)||Ae(a))&&(c=(n=e)!==$t(n)&&Bt(n)?{scrollLeft:(s=n).scrollLeft,scrollTop:s.scrollTop}:ye(n)),Bt(e)?((h=Ut(e,!0)).x+=e.clientLeft,h.y+=e.clientTop):a&&(h.x=we(a))),{x:l.left+c.scrollLeft-h.x,y:l.top+c.scrollTop-h.y,width:l.width,height:l.height}}function He(t){var e=new Map,i=new Set,n=[];function s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var $e={placement:"bottom",modifiers:[],strategy:"absolute"};function We(){for(var t=arguments.length,e=new Array(t),i=0;iNumber.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(H.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...g(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=z.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>a(t)));i.length&&b(i,e,t===Xe,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=ci.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=z.find(Ze);for(const i of e){const e=ci.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Qe,Xe].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Je)?this:z.prev(this,Je)[0]||z.next(this,Je)[0]||z.findOne(Je,t.delegateTarget.parentNode),o=ci.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}P.on(document,Ue,Je,ci.dataApiKeydownHandler),P.on(document,Ue,ti,ci.dataApiKeydownHandler),P.on(document,Ye,ci.clearMenus),P.on(document,"keyup.bs.dropdown.data-api",ci.clearMenus),P.on(document,Ye,Je,(function(t){t.preventDefault(),ci.getOrCreateInstance(this).toggle()})),m(ci);const hi="show",di="mousedown.bs.backdrop",ui={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},fi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class pi extends ${constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return ui}static get DefaultType(){return fi}static get NAME(){return"backdrop"}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(hi),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(hi),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(P.off(this._element,di),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),P.on(t,di,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const mi=".bs.focustrap",gi="backward",_i={autofocus:!0,trapElement:null},bi={autofocus:"boolean",trapElement:"element"};class vi extends ${constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return _i}static get DefaultType(){return bi}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),P.off(document,mi),P.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),P.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,P.off(document,mi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===gi?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?gi:"forward")}}const yi=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",wi=".sticky-top",Ai="padding-right",Ei="margin-right";class Ti{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,Ai,(e=>e+t)),this._setElementAttributes(yi,Ai,(e=>e+t)),this._setElementAttributes(wi,Ei,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,Ai),this._resetElementAttributes(yi,Ai),this._resetElementAttributes(wi,Ei)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&H.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=H.getDataAttribute(t,e);null!==i?(H.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const Ci=".bs.modal",Oi="hidden.bs.modal",xi="show.bs.modal",ki="modal-open",Li="show",Si="modal-static",Di={backdrop:!0,focus:!0,keyboard:!0},Ii={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class Ni extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new Ti,this._addEventListeners()}static get Default(){return Di}static get DefaultType(){return Ii}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||P.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(ki),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(P.trigger(this._element,"hide.bs.modal").defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(Li),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){P.off(window,Ci),P.off(this._dialog,Ci),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new pi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new vi({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(Li),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,P.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){P.on(this._element,"keydown.dismiss.bs.modal",(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),P.on(window,"resize.bs.modal",(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),P.on(this._element,"mousedown.dismiss.bs.modal",(t=>{P.one(this._element,"click.dismiss.bs.modal",(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(ki),this._resetAdjustments(),this._scrollBar.reset(),P.trigger(this._element,Oi)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(P.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Si)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Si),this._queueCallback((()=>{this._element.classList.remove(Si),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Ni.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}P.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),P.one(e,xi,(t=>{t.defaultPrevented||P.one(e,Oi,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&Ni.getInstance(i).hide(),Ni.getOrCreateInstance(e).toggle(this)})),R(Ni),m(Ni);const Pi="show",Mi="showing",ji="hiding",Fi=".offcanvas.show",Hi="hidePrevented.bs.offcanvas",$i="hidden.bs.offcanvas",Wi={backdrop:!0,keyboard:!0,scroll:!1},Bi={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class zi extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Wi}static get DefaultType(){return Bi}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||P.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new Ti).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Mi),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Pi),this._element.classList.remove(Mi),P.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(P.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(ji),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Pi,ji),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new Ti).reset(),P.trigger(this._element,$i)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new pi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():P.trigger(this._element,Hi)}:null})}_initializeFocusTrap(){return new vi({trapElement:this._element})}_addEventListeners(){P.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():P.trigger(this._element,Hi))}))}static jQueryInterface(t){return this.each((function(){const e=zi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}P.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;P.one(e,$i,(()=>{a(this)&&this.focus()}));const i=z.findOne(Fi);i&&i!==e&&zi.getInstance(i).hide(),zi.getOrCreateInstance(e).toggle(this)})),P.on(window,"load.bs.offcanvas.data-api",(()=>{for(const t of z.find(Fi))zi.getOrCreateInstance(t).show()})),P.on(window,"resize.bs.offcanvas",(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&zi.getOrCreateInstance(t).hide()})),R(zi),m(zi);const Ri={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},qi=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Ki=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!qi.has(i)||Boolean(Vi.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Qi={allowList:Ri,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"
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")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Yi)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Ki(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Gi=new Set(["sanitize","allowList","sanitizeFn"]),Ji="fade",Zi="show",tn=".modal",en="hide.bs.modal",nn="hover",sn="focus",on={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},rn={allowList:Ri,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},an={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class ln extends W{constructor(t,e){if(void 0===Ve)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return rn}static get DefaultType(){return an}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),P.off(this._element.closest(tn),en,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=P.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),P.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(Zi),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))P.on(t,"mouseover",h);this._queueCallback((()=>{P.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!P.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(Zi),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))P.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),P.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(Ji,Zi),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(Ji),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Ui({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(Ji)}_isShown(){return this.tip&&this.tip.classList.contains(Zi)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=on[e.toUpperCase()];return qe(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return g(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...g(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)P.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===nn?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===nn?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");P.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?sn:nn]=!0,e._enter()})),P.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?sn:nn]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},P.on(this._element.closest(tn),en,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=H.getDataAttributes(this._element);for(const t of Object.keys(e))Gi.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=ln.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(ln);const cn={...ln.Default,content:"",offset:[0,8],placement:"right",template:'',trigger:"click"},hn={...ln.DefaultType,content:"(null|string|element|function)"};class dn extends ln{static get Default(){return cn}static get DefaultType(){return hn}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=dn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(dn);const un="click.bs.scrollspy",fn="active",pn="[href]",mn={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},gn={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class _n extends W{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return mn}static get DefaultType(){return gn}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=r(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(P.off(this._config.target,un),P.on(this._config.target,un,pn,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=z.find(pn,this._config.target);for(const e of t){if(!e.hash||l(e))continue;const t=z.findOne(decodeURI(e.hash),this._element);a(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(fn),this._activateParents(t),P.trigger(this._element,"activate.bs.scrollspy",{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))z.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(fn);else for(const e of z.parents(t,".nav, .list-group"))for(const t of z.prev(e,".nav-link, .nav-item > .nav-link, .list-group-item"))t.classList.add(fn)}_clearActiveClass(t){t.classList.remove(fn);const e=z.find("[href].active",t);for(const t of e)t.classList.remove(fn)}static jQueryInterface(t){return this.each((function(){const e=_n.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}P.on(window,"load.bs.scrollspy.data-api",(()=>{for(const t of z.find('[data-bs-spy="scroll"]'))_n.getOrCreateInstance(t)})),m(_n);const bn="ArrowLeft",vn="ArrowRight",yn="ArrowUp",wn="ArrowDown",An="active",En="fade",Tn="show",Cn='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',On=`.nav-link:not(.dropdown-toggle), .list-group-item:not(.dropdown-toggle), [role="tab"]:not(.dropdown-toggle), ${Cn}`;class xn extends W{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),P.on(this._element,"keydown.bs.tab",(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?P.trigger(e,"hide.bs.tab",{relatedTarget:t}):null;P.trigger(t,"show.bs.tab",{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(An),this._activate(z.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),P.trigger(t,"shown.bs.tab",{relatedTarget:e})):t.classList.add(Tn)}),t,t.classList.contains(En)))}_deactivate(t,e){t&&(t.classList.remove(An),t.blur(),this._deactivate(z.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),P.trigger(t,"hidden.bs.tab",{relatedTarget:e})):t.classList.remove(Tn)}),t,t.classList.contains(En)))}_keydown(t){if(![bn,vn,yn,wn].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=[vn,wn].includes(t.key),i=b(this._getChildren().filter((t=>!l(t))),t.target,e,!0);i&&(i.focus({preventScroll:!0}),xn.getOrCreateInstance(i).show())}_getChildren(){return z.find(On,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=z.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=z.findOne(t,i);s&&s.classList.toggle(n,e)};n(".dropdown-toggle",An),n(".dropdown-menu",Tn),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(An)}_getInnerElement(t){return t.matches(On)?t:z.findOne(On,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=xn.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}P.on(document,"click.bs.tab",Cn,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this)||xn.getOrCreateInstance(this).show()})),P.on(window,"load.bs.tab",(()=>{for(const t of z.find('.active[data-bs-toggle="tab"], .active[data-bs-toggle="pill"], .active[data-bs-toggle="list"]'))xn.getOrCreateInstance(t)})),m(xn);const kn="hide",Ln="show",Sn="showing",Dn={animation:"boolean",autohide:"boolean",delay:"number"},In={animation:!0,autohide:!0,delay:5e3};class Nn extends W{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return In}static get DefaultType(){return Dn}static get NAME(){return"toast"}show(){P.trigger(this._element,"show.bs.toast").defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(kn),d(this._element),this._element.classList.add(Ln,Sn),this._queueCallback((()=>{this._element.classList.remove(Sn),P.trigger(this._element,"shown.bs.toast"),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(P.trigger(this._element,"hide.bs.toast").defaultPrevented||(this._element.classList.add(Sn),this._queueCallback((()=>{this._element.classList.add(kn),this._element.classList.remove(Sn,Ln),P.trigger(this._element,"hidden.bs.toast")}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(Ln),super.dispose()}isShown(){return this._element.classList.contains(Ln)}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){P.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),P.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),P.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),P.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=Nn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}return R(Nn),m(Nn),{Alert:q,Button:K,Carousel:rt,Collapse:ft,Dropdown:ci,Modal:Ni,Offcanvas:zi,Popover:dn,ScrollSpy:_n,Tab:xn,Toast:Nn,Tooltip:ln}})); +//# sourceMappingURL=bootstrap.bundle.min.js.map \ No newline at end of file diff --git a/schemas/brain-output.schema.json b/schemas/brain-output.schema.json new file mode 100644 index 0000000..2f4db91 --- /dev/null +++ b/schemas/brain-output.schema.json @@ -0,0 +1,119 @@ +{ + "$schema": "http://json-schema.org/draft-07/schema#", + "$id": "touchdog-brain-output", + "title": "Touchdog Brain Output Schema", + "description": "Brain决策层输出的图片规划数据结构", + "type": "object", + "required": ["analysis", "images"], + "properties": { + "analysis": { + "type": "object", + "description": "产品分析结果", + "required": ["product_category", "core_selling_points", "background_strategy", "logo_color"], + "properties": { + "product_category": { + "type": "string", + "description": "产品品类英文名", + "examples": ["Pet Recovery Cone", "Dog Harness", "Pet Bed"] + }, + "core_selling_points": { + "type": "array", + "description": "选中的核心卖点key列表（3-4个）", + "items": { "type": "string" }, + "minItems": 3, + "maxItems": 4, + "examples": [["lightweight", "waterproof", "breathable"]] + }, + "background_strategy": { + "type": "string", + "description": "背景亮度策略", + "enum": ["light", "dark", "mixed"] + }, + "logo_color": { + "type": "string", + "description": "Logo颜色选择", + "enum": ["red", "white"] + }, + "visual_style": { + "type": "string", + "description": "整体视觉风格描述", + "examples": ["Warm, caring home environment emphasizing comfort and ease"] + } + } + }, + "images": { + "type": "array", + "description": "12张图片的规划", + "minItems": 12, + "maxItems": 12, + "items": { + "type": "object", + "required": ["id", "type", "purpose", "layout_description", "ai_prompt", "logo_placement"], + "properties": { + "id": { + "type": "string", + "description": "图片ID", + "pattern": "^(Main_0[1-6]|APlus_0[1-6])$", + "examples": ["Main_01", "APlus_01"] + }, + "type": { + "type": "string", + "description": "图片类型", + "examples": ["Hero Scene + Key Benefits", "Product Detail + Craftsmanship", "Competitor Comparison"] + }, + "purpose": { + "type": "string", + "description": "这张图的营销目的（中文）", + "examples": ["首图决定点击率，展示产品使用状态+核心卖点"] + }, + "layout_description": { + "type": "string", + "description": "布局描述（中文，给人审核用）", + "examples": ["上半部分：布偶猫佩戴冰蓝色伊丽莎白圈，在温馨的木质家居架子上。下半部分：浅蓝色圆弧Banner..."] + }, + "ai_prompt": { + "type": "string", + "description": "完整的英文AI生图Prompt", + "minLength": 100 + }, + "logo_placement": { + "type": "object", + "description": "Logo放置信息", + "required": ["position", "type", "color"], + "properties": { + "position": { + "type": "string", + "description": "Logo位置", + "enum": ["bottom-right", "bottom-left", "top-right", "top-left", "center", "none"] + }, + "type": { + "type": "string", + "description": "Logo类型", + "enum": ["combined", "graphic_only", "text_only", "none"] + }, + "color": { + "type": "string", + "description": "Logo颜色", + "enum": ["red", "white", "auto"] + } + } + }, + "aspect_ratio": { + "type": "string", + "description": "图片宽高比", + "enum": ["1:1", "3:2"], + "default": "1:1" + }, + "is_comparison": { + "type": "boolean", + "description": "是否是竞品对比图", + "default": false + } + } + } + } + } +} + + + diff --git a/schemas/sku-input.schema.json b/schemas/sku-input.schema.json new file mode 100644 index 0000000..d0e7af4 --- /dev/null +++ b/schemas/sku-input.schema.json @@ -0,0 +1,219 @@ +{ + "$schema": "http://json-schema.org/draft-07/schema#", + "$id": "touchdog-sku-input", + "title": "Touchdog SKU Input Schema", + "description": "用于AI电商图片生成的SKU输入数据结构", + "type": "object", + "required": ["sku_id", "product_name", "brand", "color", "selling_points", "specs", "ref_images"], + "properties": { + "sku_id": { + "type": "string", + "description": "SKU唯一标识符", + "examples": ["TD-EC-001-IBLUE"] + }, + "product_name": { + "type": "string", + "description": "产品英文名称", + "examples": ["Cat Soft Cone Collar"] + }, + "product_name_cn": { + "type": "string", + "description": "产品中文名称", + "examples": ["伊丽莎白圈"] + }, + "brand": { + "type": "string", + "description": "品牌名称", + "const": "Touchdog" + }, + "color": { + "type": "object", + "description": "颜色信息", + "required": ["name", "hex"], + "properties": { + "name": { + "type": "string", + "description": "颜色英文名", + "examples": ["Ice Blue", "Mint Green", "Coral Pink"] + }, + "name_cn": { + "type": "string", + "description": "颜色中文名", + "examples": ["冰蓝色", "薄荷绿", "珊瑚粉"] + }, + "series": { + "type": "string", + "description": "色系系列", + "enum": ["Iridescent", "Solid", "Macaron", "Floral"], + "examples": ["Iridescent"] + }, + "hex": { + "type": "string", + "description": "主色HEX值", + "pattern": "^#[0-9A-Fa-f]{6}$", + "examples": ["#B0E0E6"] + }, + "edge_color": { + "type": "string", + "description": "边缘包边颜色HEX值", + "pattern": "^#[0-9A-Fa-f]{6}$", + "examples": ["#7FDBDB"] + } + } + }, + "selling_points": { + "type": "array", + "description": "产品卖点列表", + "minItems": 1, + "items": { + "type": "object", + "required": ["key", "title_en"], + "properties": { + "key": { + "type": "string", + "description": "卖点唯一标识", + "examples": ["lightweight", "waterproof", "breathable", "adjustable", "wide_view", "foldable"] + }, + "title_en": { + "type": "string", + "description": "卖点英文标题（用于图片显示）", + "examples": ["LIGHTER THAN AN EGG", "WATERPROOF & EASY WIPE"] + }, + "title_cn": { + "type": "string", + "description": "卖点中文标题", + "examples": ["极致轻盈", "防水易清洁"] + }, + "value": { + "type": "string", + "description": "具体数值（如有）", + "examples": ["65g", "24.5cm"] + }, + "description_en": { + "type": "string", + "description": "卖点英文描述", + "examples": ["Cloud-light comfort, won't restrict pet activity"] + }, + "description_cn": { + "type": "string", + "description": "卖点中文描述", + "examples": ["云感舒适，不束缚宠物活动"] + }, + "visual_prompt": { + "type": "string", + "description": "视觉化表达提示（用于AI生图）", + "examples": ["product shown next to an egg for size comparison", "water droplets beading on the surface"] + } + } + } + }, + "specs": { + "type": "object", + "description": "产品规格", + "required": ["weight", "sizes"], + "properties": { + "weight": { + "type": "string", + "description": "产品重量", + "examples": ["65g"] + }, + "depth_cm": { + "type": "string", + "description": "圈深度（厘米）", + "examples": ["24.5"] + }, + "sizes": { + "type": "array", + "description": "可用尺码", + "items": { + "type": "string", + "enum": ["XS", "S", "M", "L", "XL"] + }, + "examples": [["XS", "S", "M", "L", "XL"]] + }, + "size_chart": { + "type": "array", + "description": "尺码对照表", + "items": { + "type": "object", + "properties": { + "size": { "type": "string" }, + "neck_range_cm": { "type": "string" }, + "neck_range_in": { "type": "string" }, + "depth_cm": { "type": "string" }, + "depth_in": { "type": "string" } + } + } + }, + "materials": { + "type": "object", + "description": "材质信息", + "properties": { + "outer": { + "type": "string", + "description": "外层材质", + "examples": ["Durable Waterproof PU"] + }, + "inner": { + "type": "string", + "description": "内层材质", + "examples": ["95% Cotton + 5% Spandex"] + } + } + } + } + }, + "use_cases": { + "type": "array", + "description": "使用场景列表", + "items": { + "type": "object", + "required": ["name_en"], + "properties": { + "name_en": { + "type": "string", + "description": "场景英文名", + "examples": ["Postoperative Care", "Eye Drop Application", "Nail Trimming", "Grooming"] + }, + "name_cn": { + "type": "string", + "description": "场景中文名", + "examples": ["术后恢复", "驱虫护理", "指甲修剪", "美容护理"] + }, + "visual_prompt": { + "type": "string", + "description": "场景视觉化提示", + "examples": ["cat resting comfortably after surgery wearing the cone"] + } + } + } + }, + "ref_images": { + "type": "array", + "description": "参考图片URLs（用于产品一致性约束）", + "minItems": 1, + "items": { + "type": "string", + "format": "uri" + }, + "examples": [ + ["https://r2.example.com/td-ec-001-flat.jpg", "https://r2.example.com/td-ec-001-worn.jpg"] + ] + }, + "pet_type": { + "type": "string", + "description": "适用宠物类型", + "enum": ["cat", "dog", "both"], + "default": "cat" + }, + "target_market": { + "type": "string", + "description": "目标市场", + "enum": ["us", "eu", "global"], + "default": "global" + } + } +} + + + diff --git a/server.js b/server.js new file mode 100644 index 0000000..e6de5e6 --- /dev/null +++ b/server.js @@ -0,0 +1,624 @@ +require('dotenv').config(); +const express = require('express'); +const multer = require('multer'); +const { S3Client, PutObjectCommand, DeleteObjectCommand } = require('@aws-sdk/client-s3'); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const cors = require('cors'); + +// 导入新模块 +const { planImages } = require('./lib/brain'); +const { injectConstraints, getAspectRatio } = require('./lib/constraint-injector'); + +const app = express(); +const port = process.env.PORT || 3000; + +app.use(cors()); +app.use(express.json({ limit: '50mb' })); +app.use(express.static('public')); + +// Configure R2 Client +const bucketName = process.env.R2_BUCKET_NAME || 'ai-flow'; +console.log('Using R2 Bucket:', bucketName); + +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +// Multer for memory storage (upload directly to R2) +const upload = multer({ storage: multer.memoryStorage() }); + +// ============================================ +// 原有API端点 +// ============================================ + +// Endpoint to get prompt template +app.get('/api/prompt-template', (req, res) => { + try { + const promptPath = path.join(__dirname, 'prompt.md'); + const content = fs.readFileSync(promptPath, 'utf-8'); + res.json({ content }); + } catch (error) { + res.status(500).json({ error: 'Failed to read prompt template' }); + } +}); + +// Endpoint to upload to R2 +app.post('/api/upload-r2', upload.array('files'), async (req, res) => { + try { + const files = req.files; + if (!files || files.length === 0) { + return res.status(400).json({ error: 'No files uploaded' }); + } + + const uploadedUrls = []; + + for (const file of files) { + const fileName = `${Date.now()}-${file.originalname}`; + const command = new PutObjectCommand({ + Bucket: bucketName, + Key: fileName, + Body: file.buffer, + ContentType: file.mimetype, + }); + + await r2Client.send(command); + + const publicUrl = process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${bucketName}/${fileName}`; + + uploadedUrls.push(publicUrl); + } + + res.json({ urls: uploadedUrls }); + } catch (error) { + console.error('R2 Upload Error:', error); + res.status(500).json({ error: 'Upload failed: ' + error.message }); + } +}); + +// Endpoint to delete from R2 +app.delete('/api/delete-r2', async (req, res) => { + try { + const { url } = req.body; + if (!url) return res.status(400).json({ error: 'URL is required' }); + + const urlObj = new URL(url); + const key = decodeURIComponent(urlObj.pathname.substring(1)); + + const bucketName = process.env.R2_BUCKET_NAME || 'ai-flow'; + + await r2Client.send(new DeleteObjectCommand({ + Bucket: bucketName, + Key: key, + })); + + res.json({ success: true }); + } catch (error) { + console.error('R2 Delete Error:', error); + res.status(500).json({ error: 'Delete failed: ' + error.message }); + } +}); + +// Endpoint to generate prompts (LLM) - 保留原有功能 +app.post('/api/generate-prompts', async (req, res) => { + try { + const { prompt } = req.body; + + const response = await axios.post('https://api2img.shubiaobiao.com/v1/chat/completions', { + model: 'gemini-3-pro-preview', + messages: [ + { role: 'user', content: prompt } + ], + stream: false + }, { + headers: { + 'Content-Type': 'application/json', + 'Authorization': `Bearer ${process.env.API_KEY}` + } + }); + + res.json({ data: response.data }); + } catch (error) { + console.error('LLM API Error:', error.response?.data || error.message); + res.status(500).json({ error: 'Prompt generation failed' }); + } +}); + +// Endpoint to generate image (Sync) - 保留原有功能 +app.post('/api/generate-image', async (req, res) => { + try { + const { prompt, aspectRatio, refImages } = req.body; + console.log('Generate Image Request:', { promptLength: prompt?.length, refImagesCount: refImages?.length }); + + let finalPrompt = prompt; + let ar = aspectRatio || '1:1'; + + const arMatch = prompt.match(/--ar\s+(\d+:\d+)/i); + if (arMatch) { + ar = arMatch[1]; + } + + const payload = { + model: 'gemini-3-pro-image-preview', + prompt: finalPrompt, + n: 1, + size: "1K", + aspect_ratio: ar + }; + + if (refImages && Array.isArray(refImages) && refImages.length > 0) { + payload.image_urls = refImages; + } + + const response = await axios.post('https://api2img.shubiaobiao.com/v1/images/generations', payload, { + headers: { + 'Content-Type': 'application/json', + 'Authorization': `Bearer ${process.env.API_KEY}` + }, + timeout: 120000 + }); + + res.json(response.data); + } catch (error) { + console.error('Image Gen API Error:', error.response?.data || error.message); + res.status(500).json({ error: 'Image generation failed' }); + } +}); + +// Endpoint to get image result +app.post('/api/get-image-result', async (req, res) => { + try { + const { id } = req.body; + if (!id) return res.status(400).json({ error: 'Task ID is required' }); + + const queryUrl = process.env.IMAGE_QUERY_API_URL || 'https://api.wuyinkeji.com/api/img/drawDetail'; + + const response = await axios.get(queryUrl, { + params: { + key: process.env.API_KEY, + id: id + }, + headers: { 'Content-Type': 'application/json' } + }); + + res.json(response.data); + } catch (error) { + console.error('Image Query API Error:', error.response?.data || error.message); + res.status(500).json({ error: 'Failed to query image result' }); + } +}); + +// ============================================ +// 新增API端点 - SKU智能生图 +// ============================================ + +/** + * 获取Brain System Prompt + */ +app.get('/api/brain-prompt', (req, res) => { + try { + const promptPath = path.join(__dirname, 'prompts/brain-system.md'); + const content = fs.readFileSync(promptPath, 'utf-8'); + res.json({ content }); + } catch (error) { + res.status(500).json({ error: 'Failed to read brain prompt' }); + } +}); + +/** + * 获取示例SKU数据 + */ +app.get('/api/sample-sku', (req, res) => { + try { + const skuPath = path.join(__dirname, 'data/sample-sku.json'); + const content = fs.readFileSync(skuPath, 'utf-8'); + res.json(JSON.parse(content)); + } catch (error) { + res.status(500).json({ error: 'Failed to read sample SKU' }); + } +}); + +/** + * Stage 1: Brain决策 - 生成图片规划 + * POST /api/plan-images + * Body: { sku: SKU数据对象 } + * Returns: { plan: Brain输出的图片规划 } + */ +app.post('/api/plan-images', async (req, res) => { + try { + const { sku } = req.body; + + if (!sku || !sku.sku_id) { + return res.status(400).json({ error: 'SKU data is required' }); + } + + console.log(`Planning images for SKU: ${sku.sku_id}`); + + const plan = await planImages(sku, { + apiKey: process.env.API_KEY + }); + + res.json({ + success: true, + sku_id: sku.sku_id, + plan + }); + } catch (error) { + console.error('Plan Images Error:', error.message); + res.status(500).json({ error: 'Failed to plan images: ' + error.message }); + } +}); + +/** + * Stage 2: 生成单张图片（带约束注入） + * POST /api/generate-image-with-constraints + * Body: { sku, imageSpec, plan } + * Returns: { imageUrl } + */ +app.post('/api/generate-image-with-constraints', async (req, res) => { + try { + const { sku, imageSpec } = req.body; + + if (!sku || !imageSpec) { + return res.status(400).json({ error: 'SKU and imageSpec are required' }); + } + + // 注入约束 + const isComparison = imageSpec.is_comparison || imageSpec.id === 'APlus_02'; + const fullPrompt = injectConstraints( + imageSpec.ai_prompt, + sku, + { + isComparison, + logoPlacement: imageSpec.logo_placement || {} + } + ); + + // 确定宽高比 + const aspectRatio = getAspectRatio(imageSpec.id); + + console.log(`Generating image ${imageSpec.id} for SKU ${sku.sku_id}`); + + // 调用图像生成API + const payload = { + model: 'gemini-3-pro-image-preview', + prompt: fullPrompt, + n: 1, + size: "1K", + aspect_ratio: aspectRatio + }; + + // 添加参考图 + if (sku.ref_images && sku.ref_images.length > 0) { + payload.image_urls = sku.ref_images; + } + + const response = await axios.post('https://api2img.shubiaobiao.com/v1/images/generations', payload, { + headers: { + 'Content-Type': 'application/json', + 'Authorization': `Bearer ${process.env.API_KEY}` + }, + timeout: 180000 // 3分钟超时 + }); + + // 提取图片URL + let imageUrl = null; + if (response.data.data && Array.isArray(response.data.data) && response.data.data.length > 0) { + imageUrl = response.data.data[0].url; + } + + res.json({ + success: true, + image_id: imageSpec.id, + image_url: imageUrl, + aspect_ratio: aspectRatio + }); + + } catch (error) { + console.error('Generate Image With Constraints Error:', error.response?.data || error.message); + res.status(500).json({ error: 'Image generation failed: ' + error.message }); + } +}); + +/** + * 完整流程：为单个SKU生成全部12张图 + * POST /api/generate-sku + * Body: { sku: SKU数据对象 } + * Returns: { results: [{ id, url, status }] } + */ +app.post('/api/generate-sku', async (req, res) => { + try { + const { sku } = req.body; + + if (!sku || !sku.sku_id) { + return res.status(400).json({ error: 'SKU data is required' }); + } + + console.log(`\n========== Starting SKU Generation: ${sku.sku_id} ==========`); + + // Stage 1: Brain规划 + console.log('Stage 1: Planning images...'); + const plan = await planImages(sku, { apiKey: process.env.API_KEY }); + console.log(`Plan generated with ${plan.images.length} images`); + + // Stage 2: 逐张生成图片 + console.log('Stage 2: Generating images...'); + const results = []; + + for (const imageSpec of plan.images) { + try { + console.log(` Generating ${imageSpec.id}...`); + + // 注入约束 + const isComparison = imageSpec.is_comparison || imageSpec.id === 'APlus_02'; + const fullPrompt = injectConstraints( + imageSpec.ai_prompt, + sku, + { + isComparison, + logoPlacement: imageSpec.logo_placement || {} + } + ); + + const aspectRatio = getAspectRatio(imageSpec.id); + + const payload = { + model: 'gemini-3-pro-image-preview', + prompt: fullPrompt, + n: 1, + size: "1K", + aspect_ratio: aspectRatio + }; + + if (sku.ref_images && sku.ref_images.length > 0) { + payload.image_urls = sku.ref_images; + } + + const response = await axios.post('https://api2img.shubiaobiao.com/v1/images/generations', payload, { + headers: { + 'Content-Type': 'application/json', + 'Authorization': `Bearer ${process.env.API_KEY}` + }, + timeout: 180000 + }); + + let imageUrl = null; + if (response.data.data && Array.isArray(response.data.data) && response.data.data.length > 0) { + imageUrl = response.data.data[0].url; + } + + results.push({ + id: imageSpec.id, + type: imageSpec.type, + purpose: imageSpec.purpose, + url: imageUrl, + status: imageUrl ? 'success' : 'failed', + aspect_ratio: aspectRatio + }); + + console.log(` ✓ ${imageSpec.id} generated`); + + // 添加小延迟避免API限流 + await new Promise(resolve => setTimeout(resolve, 1000)); + + } catch (imgError) { + console.error(` ✗ ${imageSpec.id} failed:`, imgError.message); + results.push({ + id: imageSpec.id, + type: imageSpec.type, + purpose: imageSpec.purpose, + url: null, + status: 'failed', + error: imgError.message + }); + } + } + + const successCount = results.filter(r => r.status === 'success').length; + console.log(`\n========== SKU Generation Complete: ${successCount}/${results.length} ==========\n`); + + res.json({ + success: true, + sku_id: sku.sku_id, + plan: { + analysis: plan.analysis, + image_count: plan.images.length + }, + results, + summary: { + total: results.length, + success: successCount, + failed: results.length - successCount + } + }); + + } catch (error) { + console.error('Generate SKU Error:', error.message); + res.status(500).json({ error: 'SKU generation failed: ' + error.message }); + } +}); + +/** + * 批量生成：为多个SKU生成图片 + * POST /api/batch-generate + * Body: { skus: [SKU数据数组], concurrency: 并发数 } + * Returns: { results: [{ sku_id, status, images }] } + */ +app.post('/api/batch-generate', async (req, res) => { + try { + const { skus, concurrency = 1 } = req.body; + + if (!skus || !Array.isArray(skus) || skus.length === 0) { + return res.status(400).json({ error: 'SKUs array is required' }); + } + + console.log(`\n========== Batch Generation Started: ${skus.length} SKUs ==========`); + + const allResults = []; + + // 简单的串行处理（避免API限流） + for (let i = 0; i < skus.length; i++) { + const sku = skus[i]; + console.log(`\nProcessing SKU ${i + 1}/${skus.length}: ${sku.sku_id}`); + + try { + // 调用单个SKU生成 + const plan = await planImages(sku, { apiKey: process.env.API_KEY }); + + const skuResults = { + sku_id: sku.sku_id, + status: 'processing', + images: [], + plan_analysis: plan.analysis + }; + + for (const imageSpec of plan.images) { + try { + const isComparison = imageSpec.is_comparison || imageSpec.id === 'APlus_02'; + const fullPrompt = injectConstraints( + imageSpec.ai_prompt, + sku, + { isComparison, logoPlacement: imageSpec.logo_placement || {} } + ); + + const aspectRatio = getAspectRatio(imageSpec.id); + + const payload = { + model: 'gemini-3-pro-image-preview', + prompt: fullPrompt, + n: 1, + size: "1K", + aspect_ratio: aspectRatio + }; + + if (sku.ref_images && sku.ref_images.length > 0) { + payload.image_urls = sku.ref_images; + } + + const response = await axios.post('https://api2img.shubiaobiao.com/v1/images/generations', payload, { + headers: { + 'Content-Type': 'application/json', + 'Authorization': `Bearer ${process.env.API_KEY}` + }, + timeout: 180000 + }); + + let imageUrl = null; + if (response.data.data && Array.isArray(response.data.data) && response.data.data.length > 0) { + imageUrl = response.data.data[0].url; + } + + skuResults.images.push({ + id: imageSpec.id, + url: imageUrl, + status: imageUrl ? 'success' : 'failed' + }); + + // 延迟避免限流 + await new Promise(resolve => setTimeout(resolve, 1500)); + + } catch (imgErr) { + skuResults.images.push({ + id: imageSpec.id, + url: null, + status: 'failed', + error: imgErr.message + }); + } + } + + const successCount = skuResults.images.filter(img => img.status === 'success').length; + skuResults.status = successCount === skuResults.images.length ? 'complete' : 'partial'; + skuResults.summary = { + total: skuResults.images.length, + success: successCount, + failed: skuResults.images.length - successCount + }; + + allResults.push(skuResults); + console.log(` SKU ${sku.sku_id} complete: ${successCount}/${skuResults.images.length} images`); + + } catch (skuErr) { + console.error(` SKU ${sku.sku_id} failed:`, skuErr.message); + allResults.push({ + sku_id: sku.sku_id, + status: 'failed', + error: skuErr.message, + images: [] + }); + } + } + + const completedCount = allResults.filter(r => r.status === 'complete').length; + console.log(`\n========== Batch Complete: ${completedCount}/${skus.length} SKUs ==========\n`); + + res.json({ + success: true, + total_skus: skus.length, + completed: completedCount, + results: allResults + }); + + } catch (error) { + console.error('Batch Generate Error:', error.message); + res.status(500).json({ error: 'Batch generation failed: ' + error.message }); + } +}); + +/** + * 获取约束预览（调试用） + * POST /api/preview-constraints + */ +app.post('/api/preview-constraints', (req, res) => { + try { + const { sku, imageSpec } = req.body; + + if (!sku) { + return res.status(400).json({ error: 'SKU data is required' }); + } + + const isComparison = imageSpec?.is_comparison || imageSpec?.id === 'APlus_02'; + const fullPrompt = injectConstraints( + imageSpec?.ai_prompt || 'Sample prompt for preview', + sku, + { + isComparison, + logoPlacement: imageSpec?.logo_placement || {} + } + ); + + res.json({ + original_prompt: imageSpec?.ai_prompt || 'Sample prompt for preview', + full_prompt_with_constraints: fullPrompt, + prompt_length: fullPrompt.length + }); + } catch (error) { + res.status(500).json({ error: error.message }); + } +}); + +// ============================================ +// 启动服务器 +// ============================================ + +app.listen(port, () => { + console.log(`\n🚀 Server running at http://localhost:${port}`); + console.log('📁 Available endpoints:'); + console.log(' GET /api/prompt-template - Get prompt template'); + console.log(' GET /api/brain-prompt - Get brain system prompt'); + console.log(' GET /api/sample-sku - Get sample SKU data'); + console.log(' POST /api/plan-images - Stage 1: Brain planning'); + console.log(' POST /api/generate-sku - Full SKU generation (12 images)'); + console.log(' POST /api/batch-generate - Batch SKU generation'); + console.log(' POST /api/preview-constraints - Preview constraints injection'); + console.log(''); +}); diff --git a/test-generate.js b/test-generate.js new file mode 100644 index 0000000..3765089 --- /dev/null +++ b/test-generate.js @@ -0,0 +1,359 @@ +/** + * 测试脚本：使用素材图片生成电商图片 + * 运行方式: node test-generate.js + */ + +require('dotenv').config(); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); + +// 配置 +const SERVER_URL = 'http://localhost:3000'; +const OUTPUT_DIR = path.join(__dirname, 'output'); +const MATERIAL_DIR = path.join(__dirname, '素材/素材/已有的素材'); + +// R2客户端 +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +/** + * 上传图片到R2 + */ +async function uploadToR2(filePath) { + const fileName = `test-${Date.now()}-${path.basename(filePath)}`; + const fileBuffer = fs.readFileSync(filePath); + const contentType = filePath.endsWith('.png') ? 'image/png' : 'image/jpeg'; + + const command = new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME || 'ai-flow', + Key: fileName, + Body: fileBuffer, + ContentType: contentType, + }); + + await r2Client.send(command); + + const publicUrl = process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://pub-${process.env.R2_ACCOUNT_ID}.r2.dev/${fileName}`; + + console.log(` 上传成功: ${fileName}`); + return publicUrl; +} + +/** + * 下载图片到本地 + */ +async function downloadImage(url, outputPath) { + try { + const response = await axios.get(url, { responseType: 'arraybuffer', timeout: 60000 }); + fs.writeFileSync(outputPath, response.data); + console.log(` 下载成功: ${path.basename(outputPath)}`); + return true; + } catch (error) { + console.error(` 下载失败: ${error.message}`); + return false; + } +} + +/** + * 主函数 + */ +async function main() { + console.log('\n========================================'); + console.log('Touchdog 电商图片生成测试'); + console.log('========================================\n'); + + // 确保输出目录存在 + if (!fs.existsSync(OUTPUT_DIR)) { + fs.mkdirSync(OUTPUT_DIR, { recursive: true }); + } + + // 1. 获取素材图片 + console.log('📁 Step 1: 读取素材图片...'); + const materialFiles = fs.readdirSync(MATERIAL_DIR) + .filter(f => /\.(jpg|jpeg|png)$/i.test(f)) + .slice(0, 3); // 取前3张作为参考 + + console.log(` 找到 ${materialFiles.length} 张素材图片`); + + // 2. 上传素材到R2 + console.log('\n📤 Step 2: 上传素材到R2...'); + const refImageUrls = []; + + for (const file of materialFiles) { + try { + const filePath = path.join(MATERIAL_DIR, file); + const url = await uploadToR2(filePath); + refImageUrls.push(url); + } catch (error) { + console.error(` 上传失败 ${file}: ${error.message}`); + } + } + + if (refImageUrls.length === 0) { + console.error('❌ 没有成功上传任何参考图片，退出'); + process.exit(1); + } + + console.log(` 成功上传 ${refImageUrls.length} 张参考图`); + + // 3. 构建SKU数据 + console.log('\n📝 Step 3: 构建SKU数据...'); + const sku = { + sku_id: 'TD-EC-TEST-001', + product_name: 'Cat Soft Cone Collar', + product_name_cn: '伊丽莎白圈', + brand: 'Touchdog', + color: { + name: 'Ice Blue', + name_cn: '冰蓝色', + series: 'Iridescent', + hex: '#B0E0E6', + edge_color: '#7FDBDB' + }, + selling_points: [ + { + key: 'lightweight', + title_en: 'LIGHTER THAN AN EGG', + title_cn: '极致轻盈', + value: '65g', + description_en: 'Cloud-light comfort at only 65g', + visual_prompt: 'product shown next to an egg for size comparison' + }, + { + key: 'waterproof', + title_en: 'WATERPROOF & EASY WIPE', + title_cn: '防水易清洁', + description_en: 'Waterproof PU fabric, stains wipe clean instantly', + visual_prompt: 'water droplets beading on the surface' + }, + { + key: 'breathable', + title_en: 'BREATHABLE COTTON LINING', + title_cn: '舒适亲肤', + description_en: 'Soft cotton inner layer, comfortable for extended wear', + visual_prompt: 'close-up of soft cotton inner lining' + }, + { + key: 'adjustable', + title_en: 'ADJUSTABLE STRAP', + title_cn: '可调节', + description_en: '3-second on/off, adjustable velcro', + visual_prompt: 'velcro strap being adjusted' + } + ], + specs: { + weight: '65g', + depth_cm: '24.5', + sizes: ['XS', 'S', 'M', 'L', 'XL'], + materials: { + outer: 'Durable Waterproof PU', + inner: '95% Cotton + 5% Spandex' + } + }, + use_cases: [ + { name_en: 'Postoperative Care', name_cn: '术后恢复' }, + { name_en: 'Eye Drop Application', name_cn: '驱虫护理' }, + { name_en: 'Nail Trimming', name_cn: '指甲修剪' }, + { name_en: 'Grooming', name_cn: '美容护理' } + ], + ref_images: refImageUrls + }; + + console.log(' SKU数据准备完成'); + console.log(` 参考图: ${refImageUrls.length} 张`); + + // 4. 调用生成API (只生成前3张测试) + console.log('\n🎨 Step 4: 调用AI生图API...'); + console.log(' (为节省时间，仅生成3张测试图)\n'); + + // 直接调用图像生成API进行测试 + const testPrompts = [ + { + id: 'Main_01', + type: '场景首图+卖点摘要', + prompt: `Professional Amazon main image for Touchdog Cat Soft Cone Collar, 1:1 square format. + +COMPOSITION: +- TOP 60%: A beautiful Ragdoll cat wearing the Ice Blue (#B0E0E6) soft cone collar in a cozy modern home interior with warm wood shelving. Natural soft lighting from window. Cat looks comfortable and relaxed. The cone collar is soft fabric with petal-like segments. + +- BOTTOM 40%: Light blue (#B0E0E6) rounded banner with title "DESIGNED FOR COMFORTABLE RECOVERY" in navy blue text. Below: three small circular images showing: + 1. Product next to an egg showing 65g weight - "LIGHTER THAN AN EGG" + 2. Water droplets on surface - "WATERPROOF & EASY WIPE" + 3. Soft cotton lining detail - "BREATHABLE COTTON LINING" + +PRODUCT REQUIREMENTS: +- Soft cone collar with petal-like fabric segments, NOT rigid plastic +- Color: Ice Blue (#B0E0E6) with teal edge binding (#7FDBDB) +- Embroidered "TOUCHDOG®" logo visible on right petal (2-3 o'clock position) +- Waterproof PU outer, soft cotton inner visible at edges + +STYLE: Clean, professional Amazon listing photo. Warm home aesthetic. High-end pet product photography. + +--ar 1:1` + }, + { + id: 'Main_02', + type: '产品平铺+细节放大', + prompt: `Professional Amazon product detail image for Touchdog Cat Soft Cone Collar, 1:1 square format. + +COMPOSITION: +- CENTER: Ice Blue (#B0E0E6) soft cone collar displayed flat from above on clean white background. Shows full petal-like segment structure. +- Two circular detail callout bubbles with thin lines pointing to product: + 1. Left callout: "DURABLE WATERPROOF PU LAYER" - showing the smooth outer texture + 2. Right callout: "DOUBLE-LAYER COMFORT" - showing the soft ribbed edge binding in teal (#7FDBDB) + +PRODUCT REQUIREMENTS: +- Soft fabric cone with 8-10 petal segments radiating from center +- Visible velcro closure strap +- "TOUCHDOG®" embroidered logo on right side +- Color: Ice Blue (#B0E0E6) main, teal binding + +STYLE: Clean white background product photography. Professional Amazon listing style. Even studio lighting. + +--ar 1:1` + }, + { + id: 'APlus_01', + type: '品牌Banner', + prompt: `Professional Amazon A+ brand banner image for Touchdog Cat Soft Cone Collar, landscape 970x600 format. + +COMPOSITION: +- FULL WIDTH: Warm modern living room scene with a beautiful white cat wearing the Ice Blue soft cone collar, standing gracefully on a light wood surface. +- LEFT SIDE: Large stylized "TOUCHDOG" brand text in coral/pink color with playful font, paw print decorations +- BELOW: "CAT SOFT CONE COLLAR" product name text + +PRODUCT REQUIREMENTS: +- Cat wearing Ice Blue (#B0E0E6) soft cone collar +- Petal-like fabric segments visible +- Collar looks soft and comfortable, not rigid + +ENVIRONMENT: +- Cozy modern home interior +- Soft natural lighting +- Warm neutral tones (beige, cream, light wood) +- Professional lifestyle photography feel + +BRAND ELEMENTS: +- Touchdog logo with heart-shaped dog icon in red +- "wow pretty" tagline + +--ar 3:2` + } + ]; + + const results = []; + + for (const testPrompt of testPrompts) { + console.log(` 生成 ${testPrompt.id}: ${testPrompt.type}...`); + + try { + const payload = { + model: 'gemini-3-pro-image-preview', + prompt: testPrompt.prompt, + n: 1, + size: '1K', + aspect_ratio: testPrompt.id.startsWith('APlus') ? '3:2' : '1:1', + image_urls: refImageUrls + }; + + const response = await axios.post( + 'https://api2img.shubiaobiao.com/v1/images/generations', + payload, + { + headers: { + 'Content-Type': 'application/json', + 'Authorization': `Bearer ${process.env.API_KEY}` + }, + timeout: 180000 + } + ); + + // 处理响应 - 可能是URL或base64 + const imageData = response.data.data?.[0]; + const outputPath = path.join(OUTPUT_DIR, `${sku.sku_id}-${testPrompt.id}.jpg`); + + if (imageData?.b64_json) { + // Base64格式 - 直接保存 + const imageBuffer = Buffer.from(imageData.b64_json, 'base64'); + fs.writeFileSync(outputPath, imageBuffer); + console.log(` 保存成功: ${path.basename(outputPath)}`); + + results.push({ + id: testPrompt.id, + type: testPrompt.type, + localPath: outputPath, + status: 'success' + }); + + console.log(` ✓ ${testPrompt.id} 生成成功`); + } else if (imageData?.url) { + // URL格式 - 下载保存 + await downloadImage(imageData.url, outputPath); + + results.push({ + id: testPrompt.id, + type: testPrompt.type, + url: imageData.url, + localPath: outputPath, + status: 'success' + }); + + console.log(` ✓ ${testPrompt.id} 生成成功`); + } else { + throw new Error('No image data in response'); + } + + // 延迟避免限流 + await new Promise(r => setTimeout(r, 2000)); + + } catch (error) { + console.error(` ✗ ${testPrompt.id} 生成失败: ${error.message}`); + results.push({ + id: testPrompt.id, + type: testPrompt.type, + status: 'failed', + error: error.message + }); + } + } + + // 5. 输出结果 + console.log('\n========================================'); + console.log('生成结果汇总'); + console.log('========================================'); + + const successCount = results.filter(r => r.status === 'success').length; + console.log(`\n成功: ${successCount}/${results.length}`); + + results.forEach(r => { + const status = r.status === 'success' ? '✓' : '✗'; + console.log(` ${status} ${r.id} - ${r.type}`); + if (r.localPath) { + console.log(` 保存位置: ${r.localPath}`); + } + }); + + console.log(`\n📁 输出目录: ${OUTPUT_DIR}`); + console.log('\n========================================\n'); + + // 保存结果JSON + fs.writeFileSync( + path.join(OUTPUT_DIR, 'generation-results.json'), + JSON.stringify({ sku, results }, null, 2) + ); +} + +// 运行 +main().catch(console.error); + diff --git a/test-vision-extract.js b/test-vision-extract.js new file mode 100644 index 0000000..338be1e --- /dev/null +++ b/test-vision-extract.js @@ -0,0 +1,209 @@ +/** + * 测试Vision自动提取产品特征 + * 目标：验证Vision能否从素材图中自动提取"黄金产品描述" + */ + +require('dotenv').config(); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); + +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; + +// R2客户端 +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +async function uploadToR2(filePath) { + const fileName = `vision-test-${Date.now()}-${path.basename(filePath)}`; + const fileBuffer = fs.readFileSync(filePath); + + await r2Client.send(new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME || 'ai-flow', + Key: fileName, + Body: fileBuffer, + ContentType: filePath.endsWith('.png') ? 'image/png' : 'image/jpeg', + })); + + const publicUrl = process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET_NAME}/${fileName}`; + + return publicUrl; +} + +// Vision提取产品特征的Prompt +const VISION_EXTRACT_PROMPT = `Analyze this pet recovery cone product image in EXTREME detail. + +You MUST extract and output the following information as structured JSON: + +{ + "color": { + "primary": "", + "name": "", + "secondary": "" + }, + "shape": { + "type": "", + "petal_count": , + "opening": "", + "description": "" + }, + "material": { + "type": "", + "finish": "", + "texture": "" + }, + "edge_binding": { + "color": "", + "material": "" + }, + "closure": { + "type": "", + "color": "", + "position": "" + }, + "logo": { + "text": "", + "style": "", + "position": "" + }, + "unique_features": [ + "" + ], + "overall_description": "<2-3 sentence summary for image generation prompt>" +} + +Be EXTREMELY precise about colors and structural details. This will be used to generate consistent product images.`; + +async function testVisionExtract(imagePath) { + console.log('📤 上传图片到R2...'); + const imageUrl = await uploadToR2(imagePath); + console.log(' URL:', imageUrl); + + console.log('\n🔍 调用Vision API分析图片...'); + + try { + const response = await axios.post(`${API_BASE}/chat/index`, { + key: API_KEY, + model: 'gemini-3-pro', + content: VISION_EXTRACT_PROMPT, + image_url: imageUrl + }, { + timeout: 60000 + }); + + const content = response.data.data?.choices?.[0]?.message?.content || + response.data.data?.content || + response.data.choices?.[0]?.message?.content; + + if (!content) { + console.error('Vision响应为空'); + console.log('完整响应:', JSON.stringify(response.data, null, 2)); + return null; + } + + console.log('\n📝 Vision原始输出:\n'); + console.log(content); + + // 尝试提取JSON + const jsonMatch = content.match(/\{[\s\S]*\}/); + if (jsonMatch) { + try { + const parsed = JSON.parse(jsonMatch[0]); + console.log('\n✅ 解析后的JSON:\n'); + console.log(JSON.stringify(parsed, null, 2)); + return parsed; + } catch (e) { + console.log('\n⚠️ JSON解析失败，但有输出内容'); + return { raw: content }; + } + } + + return { raw: content }; + + } catch (error) { + console.error('Vision API错误:', error.message); + if (error.response) { + console.error('响应数据:', error.response.data); + } + return null; + } +} + +async function main() { + const MATERIAL_DIR = path.join(__dirname, '素材/素材/已有的素材'); + const flatImagePath = path.join(MATERIAL_DIR, 'IMG_5683.png'); + + console.log('='.repeat(60)); + console.log('🧪 Vision产品特征提取测试'); + console.log('='.repeat(60)); + console.log('\n测试图片:', flatImagePath); + + const result = await testVisionExtract(flatImagePath); + + if (result) { + // 保存结果 + const outputPath = path.join(__dirname, 'vision-extract-result.json'); + fs.writeFileSync(outputPath, JSON.stringify(result, null, 2)); + console.log('\n💾 结果已保存到:', outputPath); + + // 如果成功解析，生成Golden Description + if (result.overall_description || result.shape) { + console.log('\n' + '='.repeat(60)); + console.log('🌟 生成的Golden Product Description:'); + console.log('='.repeat(60)); + + const golden = generateGoldenDescription(result); + console.log(golden); + + fs.writeFileSync( + path.join(__dirname, 'golden-description.txt'), + golden + ); + } + } +} + +function generateGoldenDescription(visionResult) { + if (visionResult.raw) { + return `[需要手动整理Vision输出]\n\n${visionResult.raw}`; + } + + const r = visionResult; + + return ` +EXACT PRODUCT APPEARANCE (AUTO-EXTRACTED BY VISION): + +- Shape: ${r.shape?.petal_count || '?'}-PETAL ${r.shape?.type?.toUpperCase() || 'FLOWER'} shape, ${r.shape?.opening || 'C-shaped'} opening +- Color: ${r.color?.name?.toUpperCase() || 'UNKNOWN'} (${r.color?.primary || '#???'}) +- Material: ${r.material?.finish || 'Glossy'} ${r.material?.type || 'PU'} fabric with ${r.material?.texture || 'smooth'} texture +- Edge binding: ${r.edge_binding?.color || 'TEAL'} ${r.edge_binding?.material || 'ribbed elastic'} around inner neck hole +- Closure: ${r.closure?.color || 'White'} ${r.closure?.type || 'velcro'} on ${r.closure?.position || 'one petal end'} +- Logo: "${r.logo?.text || 'TOUCHDOG'}" ${r.logo?.style || 'embroidered'} on ${r.logo?.position || 'one petal'} + +UNIQUE FEATURES: +${(r.unique_features || []).map(f => `- ${f}`).join('\n') || '- Visible stitching between petals\n- Soft but structured'} + +SUMMARY FOR PROMPTS: +${r.overall_description || 'Pet recovery cone with flower-petal design, soft waterproof material.'} + +CRITICAL PROHIBITIONS: +- ❌ NO printed patterns or colorful fabric designs +- ❌ NO hard plastic transparent cones +- ❌ NO fully circular/closed shapes (must have C-opening) +- ❌ NO random brand logos or text +`.trim(); +} + +main().catch(console.error); + diff --git a/test-vision-vs-manual.js b/test-vision-vs-manual.js new file mode 100644 index 0000000..37528e5 --- /dev/null +++ b/test-vision-vs-manual.js @@ -0,0 +1,240 @@ +/** + * 对比测试：Vision自动提取 vs 手写描述 + * 生成Main_02平铺图，对比两者效果 + */ + +require('dotenv').config(); +const axios = require('axios'); +const fs = require('fs'); +const path = require('path'); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); + +const API_KEY = 'G9rXx3Ag2Xfa7Gs8zou6t6HqeZ'; +const API_BASE = 'https://api.wuyinkeji.com/api'; +const OUTPUT_DIR = path.join(__dirname, 'output_comparison'); +const MATERIAL_DIR = path.join(__dirname, '素材/素材/已有的素材'); + +// R2客户端 +const r2Client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +async function uploadToR2(filePath) { + const fileName = `compare-${Date.now()}-${path.basename(filePath)}`; + const fileBuffer = fs.readFileSync(filePath); + + await r2Client.send(new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME || 'ai-flow', + Key: fileName, + Body: fileBuffer, + ContentType: filePath.endsWith('.png') ? 'image/png' : 'image/jpeg', + })); + + return process.env.R2_PUBLIC_DOMAIN + ? `${process.env.R2_PUBLIC_DOMAIN}/${fileName}` + : `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET_NAME}/${fileName}`; +} + +// ======================================== +// 方案A: 手写的Golden Description (V2版) +// ======================================== +const MANUAL_GOLDEN_DESC = ` +EXACT PRODUCT APPEARANCE (MUST MATCH PRECISELY): +- Shape: 8-PETAL FLOWER/FAN shape, C-shaped opening (like Pac-Man), NOT a full circle +- Color: ICE BLUE / Light aqua blue (#C5E8ED approximate) +- Material: Glossy waterproof PU fabric with visible stitching lines between petals +- Edge binding: TEAL/TURQUOISE color binding around the inner neck hole +- Closure: White velcro strap on one petal end +- Logo: "TOUCHDOG®" embroidered in matching blue thread on one petal (small, subtle) +- Texture: Smooth, slightly shiny, NOT matte, NOT cotton fabric +- Structure: Soft but structured, maintains petal shape, NOT floppy + +CRITICAL PROHIBITIONS: +- ❌ NO printed patterns or colorful fabric designs +- ❌ NO hard plastic transparent cones +- ❌ NO fully circular/closed shapes +- ❌ NO matte cotton or fleece textures +- ❌ NO random brand logos or text +`; + +// ======================================== +// 方案B: Vision自动提取的Golden Description +// ======================================== +const VISION_GOLDEN_DESC = ` +EXACT PRODUCT APPEARANCE (AUTO-EXTRACTED BY VISION): +- Shape: 7-PETAL FLOWER/FAN shape, C-shaped opening +- Color: PASTEL ICE BLUE (#C3E6E8) +- Material: soft matte/satin synthetic fabric (likely water-resistant polyester/nylon) with smooth, padded/quilted panels texture +- Edge binding: Mint Green (slightly more saturated than body) ribbed knit elastic fabric around inner neck hole +- Closure: white velcro (hook and loop) on large rectangular strip covering the entire bottom-left terminal segment +- Logo: "TOUCHDOG®" embroidered on centered on the middle-right segment + +UNIQUE FEATURES: +- Scalloped outer edge resembling flower petals +- Soft ribbed knit neckline for comfort +- Radial stitching lines creating distinct padded zones +- Large surface area velcro for adjustable sizing + +CRITICAL PROHIBITIONS: +- ❌ NO printed patterns or colorful fabric designs +- ❌ NO hard plastic transparent cones +- ❌ NO fully circular/closed shapes (must have C-opening) +- ❌ NO random brand logos or text +`; + +// Main_02 平铺图 Prompt模板 +function createMain02Prompt(goldenDesc) { + return ` +[PRODUCT FLAT LAY PHOTO - WHITE BACKGROUND] + +${goldenDesc} + +SCENE REQUIREMENTS: +- Product flat lay on PURE WHITE background (#FFFFFF) +- Shot from directly above (bird's eye view / top-down angle) +- Show the full C-shaped opening clearly (gap between velcro ends visible) +- All petals/segments fully visible and spread out +- Clean studio lighting, MINIMAL shadows +- Product fills 70-80% of frame +- Professional Amazon product photography style + +OUTPUT: High quality 1:1 aspect ratio product photo, 8K resolution +`.trim(); +} + +// 生图任务提交 +async function submitImageTask(prompt, refImageUrl) { + const payload = { + key: API_KEY, + prompt: prompt, + img_url: refImageUrl, + aspectRatio: '1:1', + imageSize: '1K' + }; + + const response = await axios.post(`${API_BASE}/img/nanoBanana-pro`, payload); + const taskId = response.data.data?.id; + + if (!taskId) { + throw new Error('No task ID returned'); + } + return taskId; +} + +// 轮询图片结果 +async function pollImageResult(taskId) { + let attempts = 0; + const maxAttempts = 60; + + while (attempts < maxAttempts) { + const response = await axios.get(`${API_BASE}/img/drawDetail`, { + params: { key: API_KEY, id: taskId } + }); + + const data = response.data.data; + + if (data && data.status === 2 && data.image_url) { + return data.image_url; + } else if (data && data.status === 3) { + throw new Error('Generation failed: ' + (data.fail_reason || 'Unknown')); + } + + process.stdout.write('.'); + await new Promise(r => setTimeout(r, 2000)); + attempts++; + } + throw new Error('Timeout waiting for image'); +} + +// 生成单张图 +async function generateImage(name, prompt, refUrl) { + console.log(`\n🎨 生成: ${name}`); + console.log(' 提交任务...'); + + const taskId = await submitImageTask(prompt, refUrl); + console.log(` Task ID: ${taskId}`); + + const imageUrl = await pollImageResult(taskId); + console.log('\n ✓ 生成成功'); + + // 下载保存 + const imgRes = await axios.get(imageUrl, { responseType: 'arraybuffer' }); + const outputPath = path.join(OUTPUT_DIR, `${name}.jpg`); + fs.writeFileSync(outputPath, imgRes.data); + console.log(` ✓ 保存: ${outputPath}`); + + return outputPath; +} + +async function main() { + if (!fs.existsSync(OUTPUT_DIR)) fs.mkdirSync(OUTPUT_DIR, { recursive: true }); + + console.log('='.repeat(60)); + console.log('🔬 Vision提取 vs 手写描述 对比测试'); + console.log('='.repeat(60)); + + // 上传参考图 + console.log('\n📤 上传参考图...'); + const flatImgPath = path.join(MATERIAL_DIR, 'IMG_5683.png'); + const refUrl = await uploadToR2(flatImgPath); + console.log(' 参考图URL:', refUrl); + + // 生成两个版本的Main_02 + const results = []; + + // 版本A: 手写描述 + console.log('\n' + '='.repeat(60)); + console.log('📝 版本A: 手写Golden Description'); + console.log('='.repeat(60)); + const promptA = createMain02Prompt(MANUAL_GOLDEN_DESC); + console.log('Prompt预览:\n', promptA.substring(0, 500) + '...'); + + try { + const pathA = await generateImage('Main_02_Manual', promptA, refUrl); + results.push({ name: 'Manual', path: pathA, success: true }); + } catch (e) { + console.error('版本A失败:', e.message); + results.push({ name: 'Manual', success: false, error: e.message }); + } + + // 版本B: Vision提取 + console.log('\n' + '='.repeat(60)); + console.log('🤖 版本B: Vision自动提取Golden Description'); + console.log('='.repeat(60)); + const promptB = createMain02Prompt(VISION_GOLDEN_DESC); + console.log('Prompt预览:\n', promptB.substring(0, 500) + '...'); + + try { + const pathB = await generateImage('Main_02_Vision', promptB, refUrl); + results.push({ name: 'Vision', path: pathB, success: true }); + } catch (e) { + console.error('版本B失败:', e.message); + results.push({ name: 'Vision', success: false, error: e.message }); + } + + // 总结 + console.log('\n' + '='.repeat(60)); + console.log('📊 对比结果'); + console.log('='.repeat(60)); + console.log(`输出目录: ${OUTPUT_DIR}`); + console.log('\n生成结果:'); + results.forEach(r => { + if (r.success) { + console.log(` ✅ ${r.name}: ${r.path}`); + } else { + console.log(` ❌ ${r.name}: ${r.error}`); + } + }); + + console.log('\n💡 请手动对比两张图片，评估Vision自动提取的效果是否达标'); +} + +main().catch(console.error); + + diff --git a/test_upload.js b/test_upload.js new file mode 100644 index 0000000..d85b588 --- /dev/null +++ b/test_upload.js @@ -0,0 +1,31 @@ +require('dotenv').config(); +const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3'); + +const client = new S3Client({ + region: 'auto', + endpoint: `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com`, + credentials: { + accessKeyId: process.env.R2_ACCESS_KEY_ID, + secretAccessKey: process.env.R2_SECRET_ACCESS_KEY, + }, + forcePathStyle: true, +}); + +(async () => { + try { + console.log('Attempting upload to bucket:', process.env.R2_BUCKET_NAME); + const command = new PutObjectCommand({ + Bucket: process.env.R2_BUCKET_NAME, + Key: 'test-file.txt', + Body: 'Hello R2', + ContentType: 'text/plain', + }); + await client.send(command); + console.log('Upload successful!'); + } catch (err) { + console.error('Upload Error Details:'); + console.error('Code:', err.Code); + console.error('Message:', err.message); + console.error('Full Error:', err); + } +})(); diff --git a/vision-extract-result.json b/vision-extract-result.json new file mode 100644 index 0000000..a587f06 --- /dev/null +++ b/vision-extract-result.json @@ -0,0 +1,39 @@ +{ + "color": { + "primary": "#C3E6E8", + "name": "Pastel Ice Blue", + "secondary": "#FFFFFF (Velcro), #98DBCF (Neck Ribbing)" + }, + "shape": { + "type": "flower/fan", + "petal_count": 7, + "opening": "C-shaped", + "description": "A flat, semi-circular fan shape composed of padded segments with a scalloped outer edge, designed to wrap into a cone." + }, + "material": { + "type": "synthetic fabric (likely water-resistant polyester/nylon)", + "finish": "soft matte/satin", + "texture": "smooth, padded/quilted panels" + }, + "edge_binding": { + "color": "Mint Green (slightly more saturated than body)", + "material": "ribbed knit elastic fabric" + }, + "closure": { + "type": "velcro (hook and loop)", + "color": "white", + "position": "large rectangular strip covering the entire bottom-left terminal segment" + }, + "logo": { + "text": "TOUCHDOG®", + "style": "embroidered", + "position": "centered on the middle-right segment" + }, + "unique_features": [ + "Scalloped outer edge resembling flower petals", + "Soft ribbed knit neckline for comfort", + "Radial stitching lines creating distinct padded zones", + "Large surface area velcro for adjustable sizing" + ], + "overall_description": "A soft, padded pet recovery collar in pastel ice blue with a scalloped, flower-like shape. It features a comfortable mint-green ribbed knit neck opening, sectioned padding for flexibility, and a prominent white velcro closure strip." +} \ No newline at end of file