D140: harden Wan smoke test defaults

video-ai-system/.env.example

@@ -24,5 +24,9 @@ WAN_MAX_POLL_ATTEMPTS=80                  # 最多约20分钟
 POLL_INTERVAL_MS=5000
 MAX_POLL_ATTEMPTS=120
 
+# === 本地剪辑工具 ===
+# 如服务器 python3 不在 PATH，可指定 OpenCV 所在 Python
+PYTHON_BIN=
+
 # === 腾讯文档（已通过MCP连接，此处仅供参考）===
 # 剧本存储在腾讯文档，铸渊通过MCP connector直读

video-ai-system/engines/audio-stem-splitter.js

@@ -20,12 +20,10 @@
  * 铸渊 ICE-GL-ZY001 · D140
  */
 
-const { execSync, spawnSync } = require('child_process');
+const { execSync } = require('child_process');
 const fs = require('fs');
 const path = require('path');
 
-const PYTHON = '/Users/bingshuolingdianyuanhe/.workbuddy/binaries/python/envs/default/bin/python3';
-
 // ==================== 核心分轨 ====================
 
 /**

video-ai-system/engines/auto-cut-director.js

@@ -26,16 +26,15 @@
  * 铸渊 ICE-GL-ZY001 · D140
  */
 
-const { execSync, spawnSync } = require('child_process');
+const { spawnSync } = require('child_process');
 const fs = require('fs');
 const path = require('path');
-const { exec } = require('child_process');
 
 // 引入现有引擎
 const videoEditor = require('./video-editor');
 const { splitAudioStems, suggestMixLevels } = require('./audio-stem-splitter');
 
-const PYTHON = '/Users/bingshuolingdianyuanhe/.workbuddy/binaries/python/envs/default/bin/python3';
+const PYTHON = process.env.PYTHON_BIN || process.env.PYTHON || 'python3';
 const TRACKER_SCRIPT = path.resolve(__dirname, 'planar-tracker.py');
 
 // 输出路径
@@ -372,7 +371,6 @@ function buildAudioConfig({
 
 function runPython(script, args, timeout = 120000) {
   return new Promise((resolve, reject) => {
-    const cmd = [PYTHON, script, ...args];
     console.log(`  [Python] ${path.basename(script)} ${args.join(' ')}`);
 
     const proc = spawnSync(PYTHON, [script, ...args], {

video-ai-system/engines/wan-api-adapter.js

@@ -15,9 +15,9 @@
  *   const result = await generateWanVideo({ prompt: '一只小猫在月光下奔跑', duration: 5 });
  *
  * 环境变量（放在 video-ai-system/.env）:
- *   ALIYUN_BAILIAN_API_KEY=xxx
+ *   ALIYUN_BAILIAN_API_KEY=
  *   ALIYUN_BAILIAN_BASE_URL=https://dashscope.aliyuncs.com/api/v1  (默认)
- *   ALIYUN_BAILIAN_WORKSPACE_ID=xxx  (可选·新加坡地域时需要)
+ *   ALIYUN_BAILIAN_WORKSPACE_ID=  (可选·新加坡地域时需要)
  */
 
 const fs = require('fs');

video-ai-system/outputs/system-audit-latest.json

@@ -1,5 +1,5 @@
 {
-  "generatedAt": "2026-06-23T07:04:19.194Z",
+  "generatedAt": "2026-06-23T07:26:24.628Z",
   "activeLines": [
     {
       "key": "3d",

video-ai-system/outputs/system-audit-latest.md

@@ -1,6 +1,6 @@
 # 视频AI系统 · 无成本体检报告
 
-生成时间: 2026-06-23T07:04:19.194Z
+生成时间: 2026-06-23T07:26:24.628Z
 
 当前active制作线: 3d(3D漫剧)
 剧本MD: 存在

video-ai-system/tools/test-wan-api.js

@@ -2,31 +2,69 @@
  * 万相API测试脚本
  * D140 · 铸渊 ICE-GL-ZY001
  *
- * 验证万相2.7文生视频API是否正常工作
- * 用法: node tools/test-wan-api.js
+ * 验证万相2.7文生视频API配置与参数是否正常
+ * 默认 dry-run，不会提交付费生成任务。
+ *
+ * 用法:
+ *   node tools/test-wan-api.js
+ *   node tools/test-wan-api.js --paid-once
  */
 
-const { submitT2VTask, queryWanTask, API_KEY, WAN_T2V_SPEC } = require('../engines/wan-api-adapter');
+const {
+  submitT2VTask,
+  queryWanTask,
+  API_KEY,
+  WAN_T2V_SPEC,
+  BASE_URL,
+  preflightCheckT2V,
+} = require('../engines/wan-api-adapter');
 
 async function main() {
   console.log('=== 万相2.7 API 测试 ===\n');
 
+  const paidOnce = process.argv.includes('--paid-once');
+
   // 1. 检查密钥
   if (!API_KEY) {
     console.error('❌ ALIYUN_BAILIAN_API_KEY 未配置');
     console.error('   请在 video-ai-system/.env 中设置');
     process.exit(1);
   }
-  console.log('✅ API Key 已配置:', API_KEY.substring(0, 15) + '...');
+  console.log('✅ API Key 已配置');
   console.log('✅ 模型:', WAN_T2V_SPEC.model);
+  console.log('✅ Base URL:', BASE_URL);
 
-  // 2. 提交一个简单的测试任务
+  // 2. 构造一个简单的测试任务
   const testPrompt = '一只小猫在月光下奔跑，毛发随风飘动，背景是星空和湖泊，电影级画面';
   console.log('\n📝 测试提示词:', testPrompt);
   console.log('⏱  时长: 5秒  分辨率: 720P  比例: 16:9\n');
 
+  const preflight = preflightCheckT2V({
+    prompt: testPrompt,
+    duration: 5,
+    resolution: '720P',
+    ratio: '16:9',
+  });
+
+  if (!preflight.valid) {
+    console.error('❌ 预校验失败:', preflight.errors.join('; '));
+    process.exit(1);
+  }
+
+  if (!paidOnce) {
+    console.log('✅ 预校验通过');
+    if (preflight.warnings.length > 0) {
+      console.log('⚠️ 预校验提醒:', preflight.warnings.join('; '));
+    }
+    console.log('\nDRY-RUN：未提交真实万相任务，不产生费用。');
+    console.log('如需真实付费烟测，请确认预算后运行: node tools/test-wan-api.js --paid-once');
+    process.exit(0);
+  }
+
+  console.log('⚠️ --paid-once 已开启：将提交一次真实万相任务，可能产生费用。\n');
+
   try {
-    const { taskId, preflight } = await submitT2VTask({
+    const { taskId, preflight: paidPreflight } = await submitT2VTask({
       prompt: testPrompt,
       duration: 5,
       resolution: '720P',
@@ -35,7 +73,7 @@ async function main() {
 
     console.log('\n✅ 任务提交成功!');
     console.log('   Task ID:', taskId);
-    console.log('   预校验:', preflight.valid ? '通过' : '失败');
+    console.log('   预校验:', paidPreflight.valid ? '通过' : '失败');
 
     // 3. 轮询查询
     console.log('\n⏳ 轮询查询中...\n');