D144 · 主角资产包图片适配器桥接完成 · Python↔Node打通
- 新建 image-api-bridge.js: Node CLI桥接,stdin JSON in → stdout JSON out,日志重定向stderr - 新建 image_api_adapter.py: Python端桥接封装,subprocess调用Node - char-hero-design-packer.py 成功 import generate_image,不再因JS-only适配器崩溃 - 实测生成苏白正面半身参考图到JZAO成功 (2048x2048, Seedream 4.0) 铸渊 ICE-GL-ZY001 · D144 · 2026-06-24 冰朔 TCS-0002∞ · 国作登字-2026-A-00037559 ⊢ CHAR-HERO-DESIGN-PACKER: NOT_READY → 图片适配器已接通
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@ -29,7 +29,8 @@ sys.path.insert(0, str(PROJECT_ROOT / "engines"))
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try:
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try:
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from image_api_adapter import generate_image
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from image_api_adapter import generate_image
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except Exception as exc:
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except Exception as exc:
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print(f"⚠️ Python图片生成适配器未接通: {exc}")
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print(f"⚠️ 图片生成适配器未接通: {exc}")
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print("💡 桥接需要 Node.js: image-api-bridge.js + image-api-adapter.js")
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generate_image = None
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generate_image = None
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try:
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try:
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64
video-ai-system/engines/image-api-bridge.js
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64
video-ai-system/engines/image-api-bridge.js
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#!/usr/bin/env node
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/**
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* image-api-bridge.js · Python ↔ Node 图片API桥接
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* D144 · 铸渊 ICE-GL-ZY001
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*
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* Python 通过 subprocess 调用本脚本,stdin 输入 JSON 命令,stdout 输出 JSON 结果。
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* 解决 char-hero-design-packer.py 依赖 JS image-api-adapter 的问题。
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*
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* 用法:
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* echo '{"action":"generate_character_ref","charId":"CHAR-003","l0":"...","l1":"..."}' | node image-api-bridge.js
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* echo '{"action":"generate_image","prompt":"...","size":"2048x2048","filename":"test.png"}' | node image-api-bridge.js
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*/
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// 桥接模式:所有日志输出到 stderr,stdout 只输出最终 JSON 结果
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console.log = (...args) => process.stderr.write(args.join(' ') + '\n');
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console.warn = (...args) => process.stderr.write(args.join(' ') + '\n');
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console.error = (...args) => process.stderr.write(args.join(' ') + '\n');
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const { generateImage, generateCharacterRef } = require('./image-api-adapter');
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let input = '';
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process.stdin.setEncoding('utf8');
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process.stdin.on('data', chunk => input += chunk);
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process.stdin.on('end', async () => {
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try {
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const req = JSON.parse(input || '{}');
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let result;
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switch (req.action) {
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case 'generate_character_ref': {
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const { charId, l0, l1 } = req;
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if (!charId) throw new Error('缺少 charId');
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result = await generateCharacterRef({
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charId,
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l0Descriptor: l0 || '中国古代修仙少年,16岁,亚洲面孔',
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l1Config: l1 ? { clothing: l1 } : undefined,
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});
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break;
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}
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case 'generate_image': {
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const { prompt, size, filename, outputPath } = req;
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if (!prompt) throw new Error('缺少 prompt');
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result = await generateImage({ prompt, size, filename, outputPath });
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break;
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}
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default:
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throw new Error(`未知操作: ${req.action}`);
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}
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process.stdout.write(JSON.stringify({ ok: true, data: result }) + '\n');
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process.exit(0);
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} catch (err) {
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process.stdout.write(JSON.stringify({ ok: false, error: err.message }) + '\n');
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process.exit(1);
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}
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});
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// stdin 已关闭(pipe 模式),直接触发 end
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if (process.stdin.isTTY) {
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process.stderr.write('用法: echo \'{"action":"..."}\' | node image-api-bridge.js\n');
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process.exit(1);
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}
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114
video-ai-system/engines/image_api_adapter.py
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114
video-ai-system/engines/image_api_adapter.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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image_api_adapter.py · Python端图片API适配器
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D144 · 铸渊 ICE-GL-ZY001
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桥接到 Node.js image-api-bridge.js,为 char-hero-design-packer.py 提供
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generate_image() 函数。
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本地密钥文件: ~/Documents/guanghulab-local-secrets/video-ai-system.env
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不提交仓库,不硬编码密钥。
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"""
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import json
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import os
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import subprocess
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from pathlib import Path
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ENGINES_DIR = Path(__file__).parent
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BRIDGE_SCRIPT = ENGINES_DIR / "image-api-bridge.js"
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NODE_BIN = "/Users/bingshuolingdianyuanhe/.workbuddy/binaries/node/versions/22.22.2/bin/node"
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def _call_bridge(action: str, **kwargs) -> dict:
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"""
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调用 Node.js 桥接脚本
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:param action: 操作名 (generate_character_ref | generate_image)
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:param kwargs: 传给 JS 的参数
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:return: {ok: bool, data: {...} | error: str}
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"""
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if not BRIDGE_SCRIPT.exists():
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return {"ok": False, "error": f"桥接脚本不存在: {BRIDGE_SCRIPT}"}
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payload = {"action": action, **kwargs}
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try:
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result = subprocess.run(
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[NODE_BIN, str(BRIDGE_SCRIPT)],
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input=json.dumps(payload, ensure_ascii=False),
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capture_output=True,
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text=True,
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timeout=120,
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cwd=str(ENGINES_DIR),
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)
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except FileNotFoundError:
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return {"ok": False, "error": f"Node 未找到: {NODE_BIN}"}
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except subprocess.TimeoutExpired:
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return {"ok": False, "error": "桥接调用超时(120秒)"}
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if result.returncode != 0:
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stderr = result.stderr.strip()[:500] if result.stderr else "无输出"
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return {"ok": False, "error": f"桥接退出码 {result.returncode}: {stderr}"}
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try:
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return json.loads(result.stdout.strip())
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except json.JSONDecodeError:
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return {"ok": False, "error": f"桥接输出非JSON: {result.stdout[:200]}"}
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def generate_image(prompt: str, reference_image: str = None,
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output_dir: str = None, output_name: str = None) -> str:
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"""
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生成图片(为 char-hero-design-packer.py 提供接口)
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:param prompt: 提示词
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:param reference_image: 参考图路径(当前桥接为文生图,参考图暂不支持)
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:param output_dir: 输出目录
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:param output_name: 输出文件名
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:return: 生成的图片路径,失败返回 None
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"""
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kwargs = {"prompt": prompt, "size": "2048x2048"}
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if output_dir and output_name:
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kwargs["outputPath"] = os.path.join(output_dir, output_name)
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elif output_name:
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kwargs["filename"] = output_name
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result = _call_bridge("generate_image", **kwargs)
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if not result.get("ok"):
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print(f" ⚠️ 图片生成失败: {result.get('error', '未知错误')}")
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return None
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data = result.get("data", {})
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image_path = data.get("imagePath", "")
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if image_path and os.path.isfile(image_path):
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return image_path
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return None
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def generate_character_ref(char_id: str, l0_descriptor: str = None,
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l1_clothing: str = None) -> str:
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"""
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生成角色参考图
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:param char_id: 角色编号,如 CHAR-003
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:param l0_descriptor: L0底层编码描述
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:param l1_clothing: L1服装配置
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:return: 生成的图片路径,失败返回 None
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"""
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kwargs = {"charId": char_id}
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if l0_descriptor:
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kwargs["l0"] = l0_descriptor
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if l1_clothing:
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kwargs["l1"] = l1_clothing
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result = _call_bridge("generate_character_ref", **kwargs)
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if not result.get("ok"):
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print(f" ⚠️ 角色参考图生成失败: {result.get('error', '未知错误')}")
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return None
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data = result.get("data", {})
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return data.get("imagePath", "")
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