428 lines
17 KiB
JavaScript
428 lines
17 KiB
JavaScript
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#!/usr/bin/env node
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'use strict';
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const fs = require('node:fs');
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const os = require('node:os');
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const path = require('node:path');
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const DEDUPE_PROMPT = `你是汽车损伤去重专家。以下是AI在视频不同帧上检测到的多处损伤记录，由于视频连续帧中同一物理损伤可能被多次报告，请判断哪些记录实际上是同一处物理损伤。
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合并规则：
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1. 位置相同或相近的同类型损伤视为同一处。
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2. 位置描述措辞略有不同但指同一部位的也应合并。
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3. 时间相近且位置类型一致的大概率是同一处。
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4. 不同位置或不同类型的损伤不应合并。
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5. 同一批次中连续时间检测到的同位置同类型损伤，应该合并。
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只输出JSON：{"groups":[{"merged_location":"左前翼子板","merged_type":"划痕","merged_severity":"轻微","merged_description":"合并后的综合描述","member_indices":[0,3,5]}]}`;
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const BEST_FRAME_PROMPT = `以下是同一处车辆旧伤在不同时刻的多张标注画面，损伤区域已用红色方框标出。
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请综合以下标准，选出最能清晰展示该损伤的帧：
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1. 红框标注精准，不偏移、不过大、不遗漏。
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2. 损伤区域清晰可见，不模糊、不被遮挡。
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3. 拍摄角度合适，能看到损伤全貌。
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4. 光照条件好，不过暗、不过曝、无强反光。
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只输出JSON：{"best_timestamps":[12.4],"reasons":["损伤清晰且红框准确"]}`;
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function emit(stage, message, status = 'running', extra = {}) {
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process.stderr.write(JSON.stringify({
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type: 'process_event',
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stage,
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message,
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status,
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timestamp: new Date().toISOString(),
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...extra,
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}) + '\n');
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}
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function readInput() {
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const raw = String(process.argv[2] || process.env.SKILL_INPUT || process.env.AIFLOW_SKILL_INPUT || fs.readFileSync(0, 'utf8')).trim();
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return raw ? JSON.parse(raw) : {};
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}
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function workspaceRoot(env) {
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if (env.VEHICLE_SCRATCH_WORKSPACE_ROOT) return path.resolve(env.VEHICLE_SCRATCH_WORKSPACE_ROOT);
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if (env.RZYX_AI_WORKSPACE_ROOT) {
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const root = path.resolve(env.RZYX_AI_WORKSPACE_ROOT);
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return path.basename(root) === 'vehicle-scratch-inspection' ? root : path.join(root, 'vehicle-scratch-inspection');
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}
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if (env.RZYX_AI_DATA_DIR) return path.join(path.resolve(env.RZYX_AI_DATA_DIR), 'workspace', 'vehicle-scratch-inspection');
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return path.join(os.tmpdir(), 'vehicle-scratch-inspection');
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}
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function workspaceFor(taskId, env) {
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const safe = String(taskId || '').trim();
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if (!/^[a-zA-Z0-9_-]{1,80}$/.test(safe)) throw new Error('taskId非法或为空');
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const workspacePath = path.join(workspaceRoot(env), safe);
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if (!fs.existsSync(workspacePath)) throw new Error(`workspace不存在: ${workspacePath}`);
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return { taskId: safe, workspacePath };
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}
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function readJson(filePath) {
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return JSON.parse(fs.readFileSync(filePath, 'utf8'));
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}
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function writeJson(filePath, value) {
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fs.mkdirSync(path.dirname(filePath), { recursive: true });
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fs.writeFileSync(filePath, `${JSON.stringify(value, null, 2)}\n`, 'utf8');
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}
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function parseJsonLoose(value) {
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if (!value) return null;
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if (typeof value === 'object') return value;
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const text = String(value).trim();
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const fenced = text.match(/```(?:json)?\s*([\s\S]*?)```/i);
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const body = fenced ? fenced[1].trim() : text;
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try { return JSON.parse(body); } catch {}
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const start = body.indexOf('{');
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const end = body.lastIndexOf('}');
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if (start >= 0 && end > start) {
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try { return JSON.parse(body.slice(start, end + 1)); } catch {}
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}
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return null;
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}
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function sleep(ms) {
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return new Promise(resolve => setTimeout(resolve, ms));
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}
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function clampNumber(value, min, max, fallback) {
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const number = Number(value);
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if (!Number.isFinite(number)) return fallback;
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return Math.max(min, Math.min(max, number));
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}
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function normalizeLocation(value) {
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return String(value || '')
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.replace(/\s+/g, '')
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.replace(/[左右]侧/g, match => match[0])
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.replace(/车门/g, '门')
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.replace(/前叶子板/g, '前翼子板')
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.replace(/后叶子板/g, '后翼子板')
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.replace(/保险杆/g, '保险杠')
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.replace(/漆面/g, '')
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.trim();
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}
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function severityRank(value) {
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const text = String(value || '');
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if (text.includes('严重')) return 3;
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if (text.includes('中')) return 2;
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return 1;
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}
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function normalizeAnnotation(annotation, index) {
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const damage = annotation.damage || annotation;
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return {
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index,
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damageId: annotation.damageId || damage.id || `damage_${String(index + 1).padStart(3, '0')}`,
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location: damage.location || damage.part || annotation.location || annotation.part || '未知部位',
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type: damage.type || annotation.type || '旧伤',
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severity: damage.severity || annotation.severity || '轻微',
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description: damage.description || annotation.description || '',
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timeSecond: Number(damage.timeSecond ?? damage.time_second ?? damage.timestamp ?? annotation.timestamp ?? 0),
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markedFrames: annotation.markedFrames || [],
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raw: annotation,
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};
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}
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function heuristicDedupe(annotations) {
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const groups = [];
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for (const item of annotations) {
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const key = `${normalizeLocation(item.location)}|${String(item.type).trim()}`;
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let group = groups.find(candidate => candidate.key === key);
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if (!group) {
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group = { key, members: [] };
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groups.push(group);
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}
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group.members.push(item);
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}
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return groups.map(group => buildGroup(group.members));
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}
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function buildGroup(members, override = {}) {
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const sorted = members.slice().sort((a, b) => severityRank(b.severity) - severityRank(a.severity));
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const main = sorted[0] || members[0];
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const markedFrames = members.flatMap(item => item.markedFrames || []);
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const descriptions = [...new Set(members.map(item => item.description).filter(Boolean))];
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return {
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mergedLocation: override.merged_location || override.mergedLocation || main.location,
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mergedType: override.merged_type || override.mergedType || main.type,
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mergedSeverity: override.merged_severity || override.mergedSeverity || main.severity,
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mergedDescription: override.merged_description || override.mergedDescription || descriptions.join('；') || main.description,
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memberIndices: members.map(item => item.index),
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sourceDamageIds: members.map(item => item.damageId),
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markedFrames,
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};
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}
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function groupsFromModelResult(raw, annotations) {
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const parsed = parseJsonLoose(raw);
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const groups = Array.isArray(parsed?.groups) ? parsed.groups : null;
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if (!groups) return null;
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return groups.map(group => {
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const members = (group.member_indices || group.memberIndices || [])
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.map(index => annotations[Number(index)])
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.filter(Boolean);
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return members.length ? buildGroup(members, group) : null;
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}).filter(Boolean);
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}
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function imageContent(filePath) {
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const ext = path.extname(filePath).toLowerCase();
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const mimeType = ext === '.png' ? 'image/png' : ext === '.webp' ? 'image/webp' : ext === '.svg' ? 'image/svg+xml' : 'image/jpeg';
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return {
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type: 'image_url',
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image_url: { url: `data:${mimeType};base64,${fs.readFileSync(filePath).toString('base64')}` },
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};
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}
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async function callModel({ env, content, maxTokens = 2048 }) {
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const apiKey = env.ARK_API_KEY;
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if (!apiKey) throw new Error('缺少ARK_API_KEY');
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const apiUrl = env.ARK_API_URL || 'https://ark.cn-beijing.volces.com/api/v3/chat/completions';
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const model = env.BEST_FRAME_MODEL || 'doubao-seed-2-0-pro-260215';
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for (let attempt = 1; attempt <= 3; attempt += 1) {
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try {
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emit('best_frame_model', '调用最佳帧模型', 'running', { model, attempt, totalAttempts: 3 });
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const response = await fetch(apiUrl, {
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method: 'POST',
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headers: { Authorization: `Bearer ${apiKey}`, 'Content-Type': 'application/json' },
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body: JSON.stringify({
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model,
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messages: [{ role: 'user', content }],
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max_tokens: maxTokens,
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temperature: 0.1,
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}),
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signal: AbortSignal.timeout(600000),
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});
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const text = await response.text();
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let body;
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try { body = JSON.parse(text); } catch { body = { raw: text }; }
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if (!response.ok) throw new Error(JSON.stringify(body).slice(0, 1000));
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return body.choices?.[0]?.message?.content || '';
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} catch (err) {
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const msg = err && err.message ? err.message : String(err);
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if (attempt < 3 && /429|TooManyRequests|timeout|ECONNRESET|ETIMEDOUT/i.test(msg)) {
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await sleep(2500 * attempt);
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continue;
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}
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throw err;
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}
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}
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throw new Error('最佳帧模型调用失败');
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}
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async function dedupeWithModel({ env, annotations }) {
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const records = annotations.map(item => ({
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index: item.index,
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damageId: item.damageId,
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timeSecond: item.timeSecond,
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location: item.location,
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type: item.type,
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severity: item.severity,
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description: item.description,
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}));
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const content = [
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{ type: 'text', text: `${DEDUPE_PROMPT}\n\n损伤记录：\n${JSON.stringify(records, null, 2)}` },
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];
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const text = await callModel({ env, content, maxTokens: 4096 });
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const groups = groupsFromModelResult(text, annotations);
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if (!groups?.length) throw new Error('模型去重结果无法解析');
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return groups;
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}
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function frameScore(frame) {
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let score = 0;
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if (frame.bbox?.normalized) {
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score += 100;
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const b = frame.bbox.normalized;
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const area = Math.max(0, b.x2 - b.x1) * Math.max(0, b.y2 - b.y1);
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if (area >= 1000 && area <= 180000) score += 40;
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if (b.x1 > 5 && b.y1 > 5 && b.x2 < 995 && b.y2 < 995) score += 20;
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const cx = (b.x1 + b.x2) / 2;
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const cy = (b.y1 + b.y2) / 2;
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score += Math.max(0, 30 - Math.abs(cx - 500) / 20 - Math.abs(cy - 500) / 20);
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}
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try {
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score += Math.min(30, fs.statSync(frame.markedPath || frame.path).size / 50000);
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} catch {}
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return score;
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}
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function mimeTypeFor(filePath) {
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const ext = path.extname(filePath || '').toLowerCase();
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if (ext === '.png') return 'image/png';
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if (ext === '.webp') return 'image/webp';
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if (ext === '.svg') return 'image/svg+xml';
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return 'image/jpeg';
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}
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function chooseHeuristic(frames, topN) {
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if (frames.length <= 3) return frames;
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return frames.slice().sort((a, b) => frameScore(b) - frameScore(a)).slice(0, topN);
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}
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function normalizeTimestamp(value) {
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const number = Number(value);
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return Number.isFinite(number) ? Number(number.toFixed(2)) : null;
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}
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function frameByTimestamp(frames, timestamp) {
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const target = normalizeTimestamp(timestamp);
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if (target === null) return null;
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return frames.find(frame => Math.abs(Number(frame.timestamp || 0) - target) <= 0.05)
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|| frames.find(frame => Math.abs(Number(frame.timestamp || 0) - target) <= 0.2)
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|| null;
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}
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function bestFrameResultFor(raw, index, damageId) {
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const parsed = parseJsonLoose(raw);
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if (!parsed) return null;
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if (Array.isArray(parsed)) return parsed[index] || null;
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if (Array.isArray(parsed.results)) return parsed.results[index] || null;
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if (Array.isArray(parsed.bestFrameResults)) return parsed.bestFrameResults[index] || null;
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if (parsed[damageId]) return parsed[damageId];
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if (parsed[String(index)]) return parsed[String(index)];
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return parsed;
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}
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function chooseFromModelResult(frames, raw, topN) {
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const parsed = parseJsonLoose(raw) || raw;
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const timestamps = parsed?.best_timestamps || parsed?.bestTimestamps || parsed?.selected_timestamps || parsed?.selectedTimestamps;
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if (!Array.isArray(timestamps)) return null;
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const selected = [];
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for (const timestamp of timestamps) {
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const frame = frameByTimestamp(frames, timestamp);
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if (frame && !selected.includes(frame)) selected.push(frame);
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}
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return selected.length ? selected.slice(0, topN) : null;
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}
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async function chooseWithModel({ env, frames, group, topN, damageId }) {
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const candidates = frames
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.slice()
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.sort((a, b) => frameScore(b) - frameScore(a))
|
|||
|
|
.slice(0, 12);
|
|||
|
|
const content = [
|
|||
|
|
{ type: 'text', text: `${BEST_FRAME_PROMPT}\n\n本次需要选择最佳${topN}张。损伤：${group.mergedLocation} ${group.mergedType}，严重程度：${group.mergedSeverity}，描述：${group.mergedDescription || ''}。候选帧如下。` },
|
|||
|
|
];
|
|||
|
|
for (const frame of candidates) {
|
|||
|
|
content.push({ type: 'text', text: `[${Number(frame.timestamp || 0).toFixed(2)} second] ${damageId}` });
|
|||
|
|
content.push(imageContent(frame.markedPath || frame.path));
|
|||
|
|
}
|
|||
|
|
const text = await callModel({ env, content, maxTokens: 2048 });
|
|||
|
|
const selected = chooseFromModelResult(candidates, text, topN);
|
|||
|
|
if (!selected?.length) throw new Error('模型最佳帧结果无法解析');
|
|||
|
|
return selected;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
function publicUrl(workspace, relativePath) {
|
|||
|
|
return `/workspace/vehicle-scratch-inspection/${workspace.taskId}/${relativePath.replace(/\\/g, '/')}`;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
function copyBestFrame(workspace, frame, damageId, order) {
|
|||
|
|
const source = frame.markedPath || frame.path;
|
|||
|
|
const ext = path.extname(source) || '.jpg';
|
|||
|
|
const name = `best_${String(order).padStart(2, '0')}_${damageId}_${Number(frame.timestamp || 0).toFixed(2).replace('.', '_')}s${ext}`;
|
|||
|
|
const relativePath = `best_frames/${name}`;
|
|||
|
|
const target = path.join(workspace.workspacePath, relativePath);
|
|||
|
|
fs.mkdirSync(path.dirname(target), { recursive: true });
|
|||
|
|
fs.copyFileSync(source, target);
|
|||
|
|
return {
|
|||
|
|
timestamp: Number(frame.timestamp || 0),
|
|||
|
|
path: target,
|
|||
|
|
relativePath,
|
|||
|
|
url: publicUrl(workspace, relativePath),
|
|||
|
|
bbox: frame.bbox?.normalized || null,
|
|||
|
|
sourceRelativePath: frame.markedRelativePath || frame.sourceRelativePath || null,
|
|||
|
|
};
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
async function run(input, env = process.env) {
|
|||
|
|
if (!input?.taskId) throw new Error('taskId不能为空');
|
|||
|
|
const workspace = workspaceFor(input.taskId, env);
|
|||
|
|
const grounding = readJson(path.join(workspace.workspacePath, 'grounding.json'));
|
|||
|
|
const annotations = (grounding.annotations || []).map(normalizeAnnotation);
|
|||
|
|
const topN = Math.round(clampNumber(input.topN, 1, 5, 1));
|
|||
|
|
|
|||
|
|
emit('select_best_frames', '开始去重合并旧伤', 'running', { annotationCount: annotations.length });
|
|||
|
|
let groups = groupsFromModelResult(input.dedupeResult || input.modelResult, annotations);
|
|||
|
|
if (!groups && env.ARK_API_KEY && annotations.length > 1) {
|
|||
|
|
try {
|
|||
|
|
groups = await dedupeWithModel({ env, annotations });
|
|||
|
|
} catch (err) {
|
|||
|
|
emit('select_best_frames', '模型去重失败，使用启发式去重兜底', 'running', { error: err && err.message ? err.message : String(err) });
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
if (!groups) groups = heuristicDedupe(annotations);
|
|||
|
|
const damages = [];
|
|||
|
|
const bestFrameImages = [];
|
|||
|
|
|
|||
|
|
for (let index = 0; index < groups.length; index += 1) {
|
|||
|
|
const group = groups[index];
|
|||
|
|
const damageId = `damage_${String(index + 1).padStart(3, '0')}`;
|
|||
|
|
const availableFrames = (group.markedFrames || []).filter(frame => frame && (frame.markedPath || frame.path));
|
|||
|
|
let selected = null;
|
|||
|
|
const externalBestFrameResult = bestFrameResultFor(input.bestFrameResults, index, damageId);
|
|||
|
|
if (externalBestFrameResult) selected = chooseFromModelResult(availableFrames, externalBestFrameResult, topN);
|
|||
|
|
if (!selected && availableFrames.length > 3 && env.ARK_API_KEY) {
|
|||
|
|
try {
|
|||
|
|
selected = await chooseWithModel({ env, frames: availableFrames, group, topN, damageId });
|
|||
|
|
} catch (err) {
|
|||
|
|
emit('select_best_frames', '模型选帧失败，使用启发式评分兜底', 'running', { damageId, error: err && err.message ? err.message : String(err) });
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
if (!selected) selected = chooseHeuristic(availableFrames, topN);
|
|||
|
|
const bestFrames = [];
|
|||
|
|
for (const frame of selected) {
|
|||
|
|
const image = copyBestFrame(workspace, frame, damageId, bestFrameImages.length + 1);
|
|||
|
|
bestFrames.push(image);
|
|||
|
|
bestFrameImages.push({
|
|||
|
|
...image,
|
|||
|
|
mimeType: mimeTypeFor(image.path),
|
|||
|
|
label: `旧伤最佳展示帧 ${damageId}`,
|
|||
|
|
purpose: 'best_damage_frame',
|
|||
|
|
damageId,
|
|||
|
|
});
|
|||
|
|
}
|
|||
|
|
damages.push({
|
|||
|
|
id: damageId,
|
|||
|
|
location: group.mergedLocation,
|
|||
|
|
type: group.mergedType,
|
|||
|
|
severity: group.mergedSeverity,
|
|||
|
|
description: group.mergedDescription,
|
|||
|
|
memberIndices: group.memberIndices,
|
|||
|
|
sourceDamageIds: group.sourceDamageIds,
|
|||
|
|
timestamps: availableFrames.map(frame => Number(frame.timestamp || 0)),
|
|||
|
|
bestFrames,
|
|||
|
|
});
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
const output = {
|
|||
|
|
taskId: workspace.taskId,
|
|||
|
|
workspacePath: workspace.workspacePath,
|
|||
|
|
totalDamages: damages.length,
|
|||
|
|
bestFrameCount: bestFrameImages.length,
|
|||
|
|
damages,
|
|||
|
|
bestFrameImages,
|
|||
|
|
generatedAt: new Date().toISOString(),
|
|||
|
|
};
|
|||
|
|
writeJson(path.join(workspace.workspacePath, 'best_frames.json'), output);
|
|||
|
|
emit('select_best_frames', '最佳帧筛选完成并写入best_frames.json', 'completed', { totalDamages: damages.length, bestFrameCount: bestFrameImages.length });
|
|||
|
|
return { success: true, totalDamages: damages.length, bestFrameCount: bestFrameImages.length };
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
(async () => {
|
|||
|
|
try {
|
|||
|
|
process.stdout.write(JSON.stringify(await run(readInput())));
|
|||
|
|
} catch (err) {
|
|||
|
|
process.stdout.write(JSON.stringify({
|
|||
|
|
success: false,
|
|||
|
|
error: err && err.message ? err.message : String(err),
|
|||
|
|
}));
|
|||
|
|
}
|
|||
|
|
})();
|